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  • 1
    Publication Date: 2018-04-01
    Print ISSN: 0031-3203
    Electronic ISSN: 1873-5142
    Topics: Computer Science
    Published by Elsevier
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  • 2
    Publication Date: 2018-01-01
    Print ISSN: 0031-3203
    Electronic ISSN: 1873-5142
    Topics: Computer Science
    Published by Elsevier
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  • 3
    Publication Date: 2015-08-12
    Description: We examine a distributed detection problem in a wireless sensor network, where sensor nodes collaborate to detect a Gaussian signal with an unknown change of power, i.e., a scale parameter. Due to power/bandwidth constraints, we consider the case where each sensor quantizes its observation into a binary digit. The binary data are then transmitted through error-prone wireless links to a fusion center, where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We study the design of a binary quantizer based on an asymptotic analysis of the GLRT. Interestingly, the quantization threshold of the quantizer is independent of the unknown scale parameter. Numerical results are included to illustrate the performance of the proposed quantizer and GLRT in binary symmetric channels (BSCs).
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 4
    Publication Date: 2015-08-13
    Description: More and more hybrid electric vehicles are driven since they offer such advantages as energy savings and better active safety performance. Hybrid vehicles have two or more power driving systems and frequently switch working condition, so controlling stability is very important. In this work, a two-stage Kalman algorithm method is used to fuse data in hybrid vehicle stability testing. First, the RT3102 navigation system and Dewetron system are introduced. Second, a modeling of data fusion is proposed based on the Kalman filter. Then, this modeling is simulated and tested on a sample vehicle, using Carsim and Simulink software to test the results. The results showed the merits of this modeling.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 5
    Publication Date: 2015-08-14
    Description: Background: With the introduction and implementation of a variety of government programs and policies to encourage adoption of electronic medical records (EMRs), EMRs are being increasingly adopted in North America. We sought to evaluate the completeness of a variety of EMR fields to determine if family physicians were comprehensively using their EMRs and the suitability of use of the data for secondary purposes in Ontario, Canada. Methods: We examined EMR data from a convenience sample of family physicians distributed throughout Ontario within the Electronic Medical Record Administrative data Linked Database (EMRALD) as extracted in the summer of 2012. We identified all physicians with at least one year of EMR use. Measures were developed and rates of physician documentation of clinical encounters, electronic prescriptions, laboratory tests, blood pressure and weight, referrals, consultation letters, and all fields in the cumulative patient profile were calculated as a function of physician and patient time since starting on the EMR. Results: Of the 167 physicians with at least one year of EMR use, we identified 186,237 patients. Overall, the fields with the highest level of completeness were for visit documentations and prescriptions (〉70 %). Improvements were observed with increasing trends of completeness overtime for almost all EMR fields according to increasing physician time on EMR. Assessment of the influence of patient time on EMR demonstrated an increasing likelihood of the population of EMR fields overtime, with the largest improvements occurring between the first and second years. Conclusions: All of the data fields examined appear to be reasonably complete within the first year of adoption with the biggest increase occurring the first to second year. Using all of the basic functions of the EMR appears to be occurring in the current environment of EMR adoption in Ontario. Thus the data appears to be suitable for secondary use.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 6
    Publication Date: 2015-08-14
    Description: Background: Recognising the limitations of a paper-based approach to documenting vital sign observations and responding to national clinical guidelines, we have explored the use of an electronic solution that could improve the quality and safety of patient care. We have developed a system for recording vital sign observations at the bedside, automatically calculating an Early Warning Score, and saving data such that it is accessible to all relevant clinicians within a hospital trust. We have studied current clinical practice of using paper observation charts, and attempted to streamline the process. We describe our user-focussed design process, and present the key design decisions prior to describing the system in greater detail. Results: The system has been deployed in three pilot clinical areas over a period of 9 months. During this time, vital sign observations were recorded electronically using our system. Analysis of the number of observations recorded (21,316 observations) and the number of active users (111 users) confirmed that the system is being used for routine clinical observations. Feedback from clinical end-users was collected to assess user acceptance of the system. This resulted in a System Usability Scale score of 77.8, indicating high user acceptability. Conclusions: Our system has been successfully piloted, and is in the process of full implementation throughout adult inpatient clinical areas in the Oxford University Hospitals. Whilst our results demonstrate qualitative acceptance of the system, its quantitative effect on clinical care is yet to be evaluated.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 7
    Publication Date: 2015-08-05
    Description: Currently deep learning has made great breakthroughs in visual and speech processing, mainly because it draws lessons from the hierarchical mode that brain deals with images and speech. In the field of NLP, a topic model is one of the important ways for modeling documents. Topic models are built on a generative model that clearly does not match the way humans write. In this paper, we propose Event Model, which is unsupervised and based on the language processing mechanism of neurolinguistics, to model documents. In Event Model, documents are descriptions of concrete or abstract events seen, heard, or sensed by people and words are objects in the events. Event Model has two stages: word learning and dimensionality reduction. Word learning is to learn semantics of words based on deep learning. Dimensionality reduction is the process that representing a document as a low dimensional vector by a linear mode that is completely different from topic models. Event Model achieves state-of-the-art results on document retrieval tasks.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 8
    Publication Date: 2015-08-07
    Description: Background: According to the World Health Organization 130–150 million (according to WHO) of people globally are chronically infected with hepatitis C virus. The virus is responsible for chronic hepatitis that ultimately may cause liver cirrhosis and death. The disease is progressive, however antiviral treatment may slow down or stop its development. Therefore, it is important to estimate the severity of liver fibrosis for diagnostic, therapeutic and prognostic purposes.Liver biopsy provides a high accuracy diagnosis, however it is painful and invasive procedure. Recently, we witness an outburst of non-invasive tests (biological and physical ones) aiming to define severity of liver fibrosis, but commonly used FibroTest®, according to an independent research, in some cases may have accuracy lower than 50 %. In this paper a data mining and classification technique is proposed to determine the stage of liver fibrosis using easily accessible laboratory data. Methods: Research was carried out on archival records of routine laboratory blood tests (morphology, coagulation, biochemistry, protein electrophoresis) and histopathology records of liver biopsy as a reference value. As a result, the granular model was proposed, that contains a series of intervals representing influence of separate blood attributes on liver fibrosis stage. The model determines final diagnosis for a patient using aggregation method and voting procedure. The proposed solution is robust to missing or corrupted data. Results: The results were obtained on data from 290 patients with hepatitis C virus collected over 6 years. The model has been validated using training and test data. The overall accuracy of the solution is equal to 67.9 %. The intermediate liver fibrosis stages are hard to distinguish, due to effectiveness of biopsy itself. Additionally, the method was verified against dataset obtained from 365 patients with liver disease of various etiologies. The model proved to be robust to new data. What is worth mentioning, the error rate in misclassification of the first stage and the last stage is below 6.5 % for all analyzed datasets. Conclusions: The proposed system supports the physician and defines the stage of liver fibrosis in chronic hepatitis C. The biggest advantage of the solution is a human-centric approach using intervals, which can be verified by a specialist, before giving the final decision. Moreover, it is robust to missing data. The system can be used as a powerful support tool for diagnosis in real treatment.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 9
    Publication Date: 2015-08-20
    Description: Background: Health decision-making requires evidence from high-quality data. As one example, the Discharge Abstract Database (DAD) compiles data from the majority of Canadian hospitals to form one of the most comprehensive and highly regarded administrative health databases available for health research, internationally. However, despite the success of this and other administrative health data resources, little is known about their history or the factors that have led to their success. The purpose of this paper is to provide an historical overview of Canadian administrative health data for health research to contribute to the institutional memory of this field. Methods: We conducted a qualitative content analysis of approximately 20 key sources to construct an historical narrative of administrative health data in Canada. Specifically, we searched for content related to key events, individuals, challenges, and successes in this field over time. Results: In Canada, administrative health data for health research has developed in tangent with provincial research centres. Interestingly, the lessons learned from this history align with the original recommendations of the 1964 Royal Commission on Health Services: (1) standardization, and (2) centralization of data resources, that is (3) facilitated through governmental financial support. Conclusions: The overview history provided here illustrates the need for longstanding partnerships between government and academia, for classification, terminology and standardization are time-consuming and ever-evolving processes. This paper will be of interest to those who work with administrative health data, and also for countries that are looking to build or improve upon their use of administrative health data for decision-making.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 10
    Publication Date: 2015-08-22
    Description: Community detection in a complex network is an important problem of much interest in recent years. In general, a community detection algorithm chooses an objective function and captures the communities of the network by optimizing the objective function, and then, one uses various heuristics to solve the optimization problem to extract the interesting communities for the user. In this article, we demonstrate the procedure to transform a graph into points of a metric space and develop the methods of community detection with the help of a metric defined for a pair of points. We have also studied and analyzed the community structure of the network therein. The results obtained with our approach are very competitive with most of the well-known algorithms in the literature, and this is justified over the large collection of datasets. On the other hand, it can be observed that time taken by our algorithm is quite less compared to other methods and justifies the theoretical findings.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 11
    Publication Date: 2015-08-21
    Description: A three-step iterative method with fifth-order convergence as a new modification of Newton’s method was presented. This method is for finding multiple roots of nonlinear equation with unknown multiplicity m whose multiplicity m is the highest multiplicity. Its order of convergence is analyzed and proved. Results for some numerical examples show the efficiency of the new method.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 12
    Publication Date: 2015-08-23
    Description: Background: There is general consensus that appropriate development and use of information and communication technologies (ICT) are crucial in the delivery of effective primary care (PC). Several countries are defining policies to support and promote a structural change of the health care system through the introduction of ICT. This study analyses the state of development of basic ICT in PC systems of 31 European countries with the aim to describe the extent of, and main purposes for, computer use by General Practitioners (GPs) across Europe. Additionally, trends over time have been analysed. Methods: Descriptive statistical analysis was performed on data from the QUALICOPC (Quality and Costs of Primary Care in Europe) survey, to describe the geographic differences in the general use of computer, and in specific computerized clinical functions for different health-related purposes such as prescribing, medication checking, generating health records and research for medical information on the Internet. Results: While all the countries have achieved a near-universal adoption of a computer in their primary care practices, with only a few countries near or under the boundary of 90 %, the computerisation of primary care clinical functions presents a wide variability of adoption within and among countries and, in several cases (such as in the southern and central-eastern Europe), a large room for improvement. Conclusions: At European level, more efforts could be done to support southern and central-eastern Europe in closing the gap in adoption and use of ICT in PC. In particular, more attention seems to be need on the current usages of the computer in PC, by focusing policies and actions on the improvement of the appropriate usages that can impact on quality and costs of PC and can facilitate an interconnected health care system. However, policies and investments seem necessary but not sufficient to achieve these goals. Organizational, behavioural and also networking aspects should be taken in consideration.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 13
    Publication Date: 2015-08-06
    Description: Background: Bangladesh is facing serious shortage of trained health professionals. In the pluralistic healthcare system of Bangladesh, formal health care providers constitute only 5 % of the total workforce; the rest are informal health care providers. Information Communication Technologies (ICTs) are increasingly seen as a powerful tool for linking the community with formal healthcare providers. Our study assesses an intervention that linked village doctors (a cadre of informal health care providers practising modern medicine) to formal doctors through call centres from the perspective of the village doctors who participated in the intervention. Methods: The study was conducted in Chakaria, a remote rural area in south-eastern Bangladesh during April–May 2013. Twelve village doctors were selected purposively from a pool of 55 village doctors who participated in the mobile health (mHealth) intervention. In depth interviews were conducted to collect data. The data were manually analysed using themes that emerged.ResultThe village doctors talked about both business benefits (access to formal doctors, getting support for decision making, and being entitled to call trained doctors) and personal benefits (both financial and non-financial). Some of the major barriers mentioned were technical problems related to accessing the call centre, charging consultation fees, and unfamiliarity with the call centre physicians. Conclusion: Village doctors saw many benefits to having a business relationship with the trained doctors that the mHealth intervention provided. mHealth through call centres has the potential to ensure consultation services to populations through existing informal healthcare providers in settings with a shortage of qualified healthcare providers.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 14
    Publication Date: 2015-08-06
    Description: Background: Choosing the most appropriate family physician (FP) for the individual, plays a fundamental role in primary care. The aim of this study is to determine the selection criteria for the patients in choosing their family doctors and priority ranking of these criteria by using the multi-criteria decision-making method of the Analytic Hierarchy Process (AHP) model. Methods: The study was planned and conducted in two phases. In the first phase, factors affecting the patients’ decisions were revealed with a qualitative research. In the next phase, the priorities of FP selection criteria were determined by using AHP model. Criteria were compared in pairs. 96 patient were asked to fill the information forms which contains comparison scores in the Family Health Centres. Results: According to the analysis of focus group discussions FP selection criteria were congregated in to five groups: Individual Characteristics, Patient-Doctor relationship, Professional characteristics, the Setting, and Ethical Characteristics.For each of the 96 participants, comparison matrixes were formed based on the scores of their information forms. Of these, models of only 5 (5.2 %) of the participants were consistent, in other words, they have been able to score consistent ranking. The consistency ratios (CR) were found to be smaller than 0.10. Therefore the comparison matrix of this new model, which was formed based on the medians of scores only given by these 5 participants, was consistent (CR = 0.06 
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 15
    Publication Date: 2015-07-30
    Description: In this paper, we present three improvements to a three-point third order variant of Newton’s method derived from the Simpson rule. The first one is a fifth order method using the same number of functional evaluations as the third order method, the second one is a four-point 10th order method and the last one is a five-point 20th order method. In terms of computational point of view, our methods require four evaluations (one function and three first derivatives) to get fifth order, five evaluations (two functions and three derivatives) to get 10th order and six evaluations (three functions and three derivatives) to get 20th order. Hence, these methods have efficiency indexes of 1.495, 1.585 and 1.648, respectively which are better than the efficiency index of 1.316 of the third order method. We test the methods through some numerical experiments which show that the 20th order method is very efficient.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 16
    Publication Date: 2015-07-30
    Description: Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications for self-defense or attacks. Due to the complex background, current algorithms have some unsolved issues with false alarm rate. In order to reduce the false alarm rate, an infrared small target detection algorithm based on saliency detection and support vector machine was proposed. Firstly, we detect salient regions that may contain targets with phase spectrum Fourier transform (PFT) approach. Then, target recognition was performed in the salient regions. Experimental results show the proposed algorithm has ideal robustness and efficiency for real infrared small target detection applications.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 17
    Publication Date: 2015-08-06
    Description: In dynamic propagation environments, beamforming algorithms may suffer from strong interference, steering vector mismatches, a low convergence speed and a high computational complexity. Reduced-rank signal processing techniques provide a way to address the problems mentioned above. This paper presents a low-complexity robust data-dependent dimensionality reduction based on an iterative optimization with steering vector perturbation (IOVP) algorithm for reduced-rank beamforming and steering vector estimation. The proposed robust optimization procedure jointly adjusts the parameters of a rank reduction matrix and an adaptive beamformer. The optimized rank reduction matrix projects the received signal vector onto a subspace with lower dimension. The beamformer/steering vector optimization is then performed in a reduced dimension subspace. We devise efficient stochastic gradient and recursive least-squares algorithms for implementing the proposed robust IOVP design. The proposed robust IOVP beamforming algorithms result in a faster convergence speed and an improved performance. Simulation results show that the proposed IOVP algorithms outperform some existing full-rank and reduced-rank algorithms with a comparable complexity.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 18
    Publication Date: 2015-08-07
    Description: Recently, wireless sensor networks (WSNs) have drawn great interest due to their outstanding monitoring and management potential in medical, environmental and industrial applications. Most of the applications that employ WSNs demand all of the sensor nodes to run on a common time scale, a requirement that highlights the importance of clock synchronization. The clock synchronization problem in WSNs is inherently related to parameter estimation. The accuracy of clock synchronization algorithms depends essentially on the statistical properties of the parameter estimation algorithms. Recently, studies dedicated to the estimation of synchronization parameters, such as clock offset and skew, have begun to emerge in the literature. The aim of this article is to provide an overview of the state-of-the-art clock synchronization algorithms for WSNs from a statistical signal processing point of view. This article focuses on describing the key features of the class of clock synchronization algorithms that exploit the traditional two-way message (signal) exchange mechanism. Upon introducing the two-way message exchange mechanism, the main clock offset estimation algorithms for pairwise synchronization of sensor nodes are first reviewed, and their performance is compared. The class of fully-distributed clock offset estimation algorithms for network-wide synchronization is then surveyed. The paper concludes with a list of open research problems pertaining to clock synchronization of WSNs.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 19
    Publication Date: 2015-08-14
    Description: Background: Non-adherence to Antiretroviral Treatment (ART) is strongly associated with virologic rebound and drug resistance. Studies have shown that the most frequently mentioned reason for missing ART doses is the forgetfulness of patients to take their medications on time. Therefore using communication devices as reminder tools, for example alarms, pagers, text messages and telephone calls could improve adherence to ART. The aim of this study is to measure access to cellphones, willingness to receive text message medication reminders and to identify associated factors of ART patients at the University of Gondar Hospital, in North West Ethiopia. Methods: An institution based cross sectional quantitative study was conducted among 423 patients on ART during April 2014. Data were collected using structured interviewer-administered questionnaires. Data entry and analysis were done using Epi-Info version 7 and SPSS version 20 respectively. Descriptive statistics and multivariable logistic regression analysis were used to describe the characteristic of the sample and identify factors associated with the willingness to receive text message medication reminders. Results: A total of 415 (98 % response rate) respondents participated in the interview. The majority of respondents 316 (76.1 %) owned a cellphone, and 161(50.9 %) were willing to receive text message medication reminders. Positively associated factors to the willingness were the following: Younger age group (AOR = 5.18, 95 % CI: [1.69, 15.94]), having secondary or higher education (AOR = 4.61, 95 % CI: [1.33, 16.01]), using internet (AOR = 3.94, 95 % CI: [1.67, 9.31]), not disclosing HIV status to anyone other than HCP (Health Care Provider) (AOR = 3.03, 95 % CI: [1.20, 7.61]), availability of radio in dwelling (AOR = 2.74 95 % CI: [1.27, 5.88]), not answering unknown calls (AOR = 2.67, 95 % CI: [1.34, 5.32]), use of cellphone alarm as medication reminder (AOR = 2.22, 95%CI [1.09, 4.52]), and forgetting to take medications (AOR = 2.13, 95 % CI: [1.14, 3.96]). Conclusions: A high proportion of respondents have a cell phone and are willing to use it as medication reminders. Age, educational status and using internet were the main factors that are significantly associated with the willingness of patients to receive text message medication reminders.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 20
    Publication Date: 2015-09-16
    Description: In this paper we investigate some parallel variants of Broyden’s method and, for the basic variant, we present its convergence properties. The main result is that the behavior of the considered parallel Broyden’s variants is comparable with the classical parallel Newton method, and significantly better than the parallel Cimmino method, both for linear and nonlinear cases. The considered variants are also compared with two more recently proposed parallel Broyden’s method. Some numerical experiments are presented to illustrate the advantages and limits of the proposed algorithms.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 21
    Publication Date: 2015-09-25
    Description: Background: Prenatal screening tests for Down syndrome (DS) are routine in many developed countries and new tests are rapidly becoming available. Decisions about prenatal screening are increasingly complex with each successive test, and pregnant women need information about risks and benefits as well as clarity about their values. Decision aids (DAs) can help healthcare providers support women in this decision. Using an environmental scan, we aimed to identify publicly available DAs focusing on prenatal screening/diagnosis for Down syndrome that provide effective support for decision making. Methods: Data sources searched were the Decision Aids Library Inventory (DALI) of the Ottawa Patient Decision Aids Research Group at the Ottawa Health Research Institute; Google searches on the internet; professional organizations, academic institutions and other experts in the field; and references in existing systematic reviews on DAs. Eligible DAs targeted pregnant women, focused on prenatal screening and/or diagnosis, applied to tests for fetal abnormalities or aneuploidies, and were in French, English, Spanish or Portuguese. Pairs of reviewers independently identified eligible DAs and extracted characteristics including the presence of practical decision support tools and features to aid comprehension. They then performed quality assessment using the 16 minimum standards established by the International Patient Decision Aids Standards (IPDASi v4.0). Results: Of 543 potentially eligible DAs (512 in DALI, 27 from experts, and four on the internet), 23 were eligible and 20 were available for data extraction. DAs were developed from 1996 to 2013 in six countries (UK, USA, Canada, Australia, Sweden, and France). Five DAs were for prenatal screening, three for prenatal diagnosis and 12 for both). Eight contained values clarification methods (personal worksheets). The 20 DAs scored a median of 10/16 (range 6–15) on the 16 IPDAS minimum standards.DiscussionNone of the 20 included DAs met all 16 IPDAS minimum standards, and few included practical decision support tools or aids to comprehension. Conclusions: Our results indicate there is a need for DAs that effectively support decision making regarding prenatal testing for Down syndrome, especially in light of the recently available non-invasive prenatal screening tests.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 22
    Publication Date: 2015-09-26
    Description: The sign least mean square with reweighted L1-norm constraint (SLMS-RL1) algorithm is an attractive sparse channel estimation method among Gaussian mixture model (GMM) based algorithms for use in impulsive noise environments. The channel sparsity can be exploited by SLMS-RL1 algorithm based on appropriate reweighted factor, which is one of key parameters to adjust the sparse constraint for SLMS-RL1 algorithm. However, to the best of the authors’ knowledge, a reweighted factor selection scheme has not been developed. This paper proposes a Monte-Carlo (MC) based reweighted factor selection method to further strengthen the performance of SLMS-RL1 algorithm. To validate the performance of SLMS-RL1 using the proposed reweighted factor, simulations results are provided to demonstrate that convergence speed can be reduced by increasing the channel sparsity, while the steady-state MSE performance only slightly changes with different GMM impulsive-noise strengths.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 23
    Publication Date: 2015-10-01
    Description: Background: A plethora of publicly available biomedical resources do currently exist and are constantly increasing at a fast rate. In parallel, specialized repositories are been developed, indexing numerous clinical and biomedical tools. The main drawback of such repositories is the difficulty in locating appropriate resources for a clinical or biomedical decision task, especially for non-Information Technology expert users. In parallel, although NLP research in the clinical domain has been active since the 1960s, progress in the development of NLP applications has been slow and lags behind progress in the general NLP domain.The aim of the present study is to investigate the use of semantics for biomedical resources annotation with domain specific ontologies and exploit Natural Language Processing methods in empowering the non-Information Technology expert users to efficiently search for biomedical resources using natural language. Methods: A Natural Language Processing engine which can “translate” free text into targeted queries, automatically transforming a clinical research question into a request description that contains only terms of ontologies, has been implemented. The implementation is based on information extraction techniques for text in natural language, guided by integrated ontologies. Furthermore, knowledge from robust text mining methods has been incorporated to map descriptions into suitable domain ontologies in order to ensure that the biomedical resources descriptions are domain oriented and enhance the accuracy of services discovery. The framework is freely available as a web application at (http://calchas.ics.forth.gr/). Results: For our experiments, a range of clinical questions were established based on descriptions of clinical trials from the ClinicalTrials.gov registry as well as recommendations from clinicians. Domain experts manually identified the available tools in a tools repository which are suitable for addressing the clinical questions at hand, either individually or as a set of tools forming a computational pipeline. The results were compared with those obtained from an automated discovery of candidate biomedical tools. For the evaluation of the results, precision and recall measurements were used. Our results indicate that the proposed framework has a high precision and low recall, implying that the system returns essentially more relevant results than irrelevant. Conclusions: There are adequate biomedical ontologies already available, sufficiency of existing NLP tools and quality of biomedical annotation systems for the implementation of a biomedical resources discovery framework, based on the semantic annotation of resources and the use on NLP techniques. The results of the present study demonstrate the clinical utility of the application of the proposed framework which aims to bridge the gap between clinical question in natural language and efficient dynamic biomedical resources discovery.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
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  • 24
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    Publication Date: 2015-11-21
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 25
    Publication Date: 2015-11-21
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 26
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    Publication Date: 2015-11-21
    Description: Der Gerichtshof der Europäischen Union hat mit Urteil vom 6. Oktober 2015 die Entscheidung der Kommission vom 26.7.2000 (2000/520/EG) zur Angemessenheit des von den Grundsätzen des „sicheren Hafens“ und der diesbezüglichen „Häufig gestellten Fragen“ (FAQ) gewährleisteten Schutzes, vorgelegt vom Handelsministerium der USA, für ungültig erklärt. 1 Der folgende Beitrag erläutert die Hintergründe der Entscheidung, fasst deren wesentliche Punkte noch einmal zusammen und gibt einen ersten Ausblick, welche Konsequenzen aus der Entscheidung zu ziehen sind.
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 27
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    Publication Date: 2015-11-21
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 28
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    Publication Date: 2015-11-21
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 29
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    Publication Date: 2015-11-21
    Description: Datenschutz und Datensicherheit bilden die Eckpfeiler im Umgang mit personenbezogenen Daten. Auch wenn viele Unternehmen hinsichtlich dieser Themen sensibilisiert sind, ist die unfreiwillige Preisgabe von personenbezogenen Daten an Dritte nicht völlig ausgeschlossen. Der folgende Beitrag befasst sich daher mit der Frage der Bußgeldbewehrtheit von Datenpannen und geht dabei insbesondere auf den Begriff der Verarbeitung i. S. v. § 3 Abs. 4 BDSG ein.
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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    Publication Date: 2015-11-21
    Description: Nachdem die Kommission und das Parlament bereits ihre Entwürfe der Datenschutz-Grundverordnung veröffentlicht hatten, folgte im Juni 2015 der Entwurf des Rates der Europäischen Union, wobei sich immer mehr abzeichnet, wie die Reform des europäischen Datenschutzrechts am Ende aussehen wird. So muss insbesondere bei der Durchsetzung und Sanktionierung mit erheblichen praxisrelevanten Veränderungen gerechnet werden.
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 31
    Publication Date: 2015-11-21
    Description: We present a local convergence analysis of an eighth order three step methodin order to approximate a locally unique solution of nonlinear equation in a Banach spacesetting. In an earlier study by Sharma and Arora (2015), the order of convergence wasshown using Taylor series expansions and hypotheses up to the fourth order derivative oreven higher of the function involved which restrict the applicability of the proposed scheme.However, only first order derivative appears in the proposed scheme. In order to overcomethis problem, we proposed the hypotheses up to only the first order derivative. In this way,we not only expand the applicability of the methods but also propose convergence domain.Finally, where earlier studies cannot be applied, a variety of concrete numerical examplesare proposed to obtain the solutions of nonlinear equations. Our study does not exhibit thistype of problem/restriction.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 32
    Publication Date: 2015-11-21
    Description: Lung cancer continues to rank as the leading cause of cancer deaths worldwide. One of the most promising techniques for early detection of cancerous cells relies on sputum cell analysis. This was the motivation behind the design and the development of a new computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of sputum color images. The proposed CAD system encompasses four main processing steps. First is the preprocessing step which utilizes a Bayesian classification method using histogram analysis. Then, in the second step, mean shift segmentation is applied to segment the nuclei from the cytoplasm. The third step is the feature analysis. In this step, geometric and chromatic features are extracted from the nucleus region. These features are used in the diagnostic process of the sputum images. Finally, the diagnosis is completed using an artificial neural network and support vector machine (SVM) for classifying the cells into benign or malignant. The performance of the system was analyzed based on different criteria such as sensitivity, specificity and accuracy. The evaluation was carried out using Receiver Operating Characteristic (ROC) curve. The experimental results demonstrate the efficiency of the SVM classifier over other classifiers, with 97% sensitivity and accuracy as well as a significant reduction in the number of false positive and false negative rates.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
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  • 33
    Publication Date: 2015-11-20
    Description: Near-infrared spectroscopy (NIRS) enables the non-invasive measurement of changes in hemodynamics and oxygenation in tissue. Changes in light-coupling due to movement of the subject can cause movement artifacts (MAs) in the recorded signals. Several methods have been developed so far that facilitate the detection and reduction of MAs in the data. However, due to fixed parameter values (e.g., global threshold) none of these methods are perfectly suitable for long-term (i.e., hours) recordings or were not time-effective when applied to large datasets. We aimed to overcome these limitations by automation, i.e., data adaptive thresholding specifically designed for long-term measurements, and by introducing a stable long-term signal reconstruction. Our new technique (“acceleration-based movement artifact reduction algorithm”, AMARA) is based on combining two methods: the “movement artifact reduction algorithm” (MARA, Scholkmann et al. Phys. Meas. 2010, 31, 649–662), and the “accelerometer-based motion artifact removal” (ABAMAR, Virtanen et al. J. Biomed. Opt. 2011, 16, 087005). We describe AMARA in detail and report about successful validation of the algorithm using empirical NIRS data, measured over the prefrontal cortex in adolescents during sleep. In addition, we compared the performance of AMARA to that of MARA and ABAMAR based on validation data.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
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  • 34
    Publication Date: 2015-11-21
    Description: Der datenschutzrechtliche Zweckbindungsgrundsatz wurde vor einiger Zeit 1 in den Medien hitzig 2 diskutiert. Anlass gab die Veröffentlichung des aktuellen Ratsentwurfs der Datenschutzgrundverordnung durch European Digital Rights. 3 Unter anderen berichtete der Tagesspiegel, dass durch den aktuellen Entwurf das Zweckbindungsprinzip ausgehebelt werden würde. 4 Der folgende Beitrag möchte mit Blick auf die jeweils verfassungsrechtliche Bedeutung den gesetzgeberischen Spielraum bei der Umsetzung des Zweckbindungsprinzips beleuchten.
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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    Publication Date: 2015-11-21
    Electronic ISSN: 1862-2607
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    Publication Date: 2015-11-21
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  • 37
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    Publication Date: 2015-11-21
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    Publication Date: 2015-11-21
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  • 39
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    Publication Date: 2015-11-21
    Electronic ISSN: 1862-2607
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    Publication Date: 2015-11-21
    Description: Im Zusammenhang mit einer vom Bundesministerium für Gesundheit propagierten „Entbürokratisierung in der Pflege“ mit dem Ziel des „Abbaus von Bürokratie in der Pflegedokumentation“ könnten die auch in Pflegeeinrichtungen nicht mehr wegzudenkenden IT-Systeme eine große Rolle spielen. Bei der Umstellung auf bzw. der Einführung von digitalisierter Pflegedokumentation bestehen aber gleichwohl datenschutzrechtliche Aspekte, die nicht unberücksichtigt bleiben dürfen. Dies gilt insbesondere vor dem Hintergrund, dass es sich bei den in der Pflegedokumentation enthaltenen Informationen vielfach um Gesundheitsdaten der Pflegebedürftigen handelt. 1
    Electronic ISSN: 1862-2607
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  • 41
    Publication Date: 2015-08-27
    Description: This paper focuses on the parameter identification problem for Wiener nonlinear dynamic systems with moving average noises. In order to improve the convergence rate, the gradient-based iterative algorithm is presented by replacing the unmeasurable variables with their corresponding iterative estimates, and to compute iteratively the noise estimates based on the obtained parameter estimates. The simulation results show that the proposed algorithm can effectively estimate the parameters of Wiener systems with moving average noises.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
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  • 42
    Publication Date: 2015-08-29
    Description: Background: Although evidence has suggested that computerized drug-drug interaction alert systems may reduce the occurrence of drug-drug interactions, the numerous reminders and alerts generated by such systems could represent an excessive burden for clinicians, resulting in a high override rate of not only unimportant, but also important alerts. Methods: We analyzed physicians’ responses to alerts of relative contraindications and contraindications for coadministration in a computerized drug-drug interaction alert system at Hokkaido University Hospital. In this system, the physician must enter a password to override an alert and continue an order. All of the drug-drug interaction alerts generated between December 2011 and November 2012 at Hokkaido University Hospital were included in this study. Results: The system generated a total of 170 alerts of relative contraindications and contraindication for coadministration; 59 (34.7 %) of the corresponding orders were cancelled after the alert was accepted, and 111 (65.3 %) were overridden. The most frequent contraindication alert was for the combination of 3-hydroxy-3-methylglutaryl–coenzyme A reductase inhibitors and fibrates. No incidents involving drug-drug interactions were reported among patients who were prescribed contraindicated drug pairs after an override. Conclusions: Although computerized drug-drug interaction alert systems that require password overrides appear useful for promoting medication safety, having to enter passwords to override alerts may represent an excessive burden for the prescribing physician. Therefore, both patient safety and physicians’ workloads should be taken into consideration in future designs of computerized drug-drug interaction alert systems.
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
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  • 43
    Publication Date: 2015-05-31
    Description: Größter Innovationstreiber moderner vernetzter Fahrzeuge ist die Informationstechnologie. Jedoch ergeben sich hierdurch auch neue Bedrohungen für IT-Sicherheit und Datenschutz. In diesem Artikel wird ein Überblick über vernetzte Fahrzeuge, mögliche Anwendungen, die benötigten Daten und die sich ergebenden Bedrohungen gegeben. Weiterhin werden Herausforderungen für die aktuelle Forschung identifiziert.
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    Publication Date: 2015-05-31
    Description: Aus der Vernetzung des Autos ergeben sich vielfältige Datenschutzfragen. Inwieweit lassen sich die Erfahrungen mit Internet und Smartphones übertragen?
    Electronic ISSN: 1862-2607
    Topics: Computer Science , Law
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  • 45
    Publication Date: 2015-05-31
    Description: Background: When new pharmaceutical products appear on the market, physicians need to know whether they are likely to be useful in their practices. Physicians currently obtain most of their information about the market release and properties of new drugs from pharmaceutical industry representatives. However, the official information contained in the summary of product characteristics (SPCs) and evaluation reports from health agencies, provide a more complete view of the potential value of new drugs, although they can be long and difficult to read. The main objective of this work was to design a prototype computer program to facilitate the objective appraisal of the potential value of a new pharmaceutical product by physicians. This prototype is based on the modeling of pharmaceutical innovations described in a previous paper. Methods: The interface was designed to allow physicians to develop a rapid understanding of the value of a new drug for their practices. We selected five new pharmaceutical products, to illustrate the function of this prototype. We considered only the texts supplied by national or international drug agencies at the time of market release. The perceived usability of the prototype was evaluated qualitatively, except for the System Usability Scale (SUS) score evaluation, by 10 physicians differing in age and medical background. Results: The display is based on the various axes of the conceptual model of pharmaceutical innovations. The user can select three levels of detail when consulting this information (highly synthetic, synthetic and detailed). Tables provide a comparison of the properties of the new pharmaceutical product with those of existing drugs, if available for the same indication, in terms of efficacy, safety and ease of use.The interface was highly appreciated by evaluators, who found it easy to understand and suggested no other additions of important, internationally valid information. The mean System Usability Scale score for the 10 physicians was 82, corresponding to a “good” user interface. Conclusions: This work led us to propose the selection, grouping, and mode of presentation for various types of knowledge on pharmaceutical innovations in a way that was appreciated by evaluators. It provides physicians with readily accessible objective information about new drugs.
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    Publication Date: 2015-05-31
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  • 47
    Publication Date: 2015-05-31
    Description: Der „Pay-as-you-drive“-Tarif hat Einzug in den deutschen Versicherungsmarkt gehalten. Mit ihm kommt es zu einer neuen Dimension der Datenerhebung im Alltagsleben. Dadurch stellen sich zahlreiche Fragen rund um das Recht der Datenverarbeitung, die für die Zukunft reichlich Diskussionsstoff beinhalten.
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    Publication Date: 2015-05-31
    Electronic ISSN: 1862-2607
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    Publication Date: 2015-05-31
    Description: Facebook hat wieder einmal seine Bedingungen und Richtlinien geändert–und ist offensichtlich mächtig stolz darauf. Grund genug, Facebook auf diesem Wege einmal eine kurze Rückmeldung zur neuen Datenrichtlinie zu geben.
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    Publication Date: 2015-05-31
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    Publication Date: 2015-05-31
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    Publication Date: 2015-05-31
    Electronic ISSN: 1862-2607
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  • 53
    Publication Date: 2015-05-31
    Electronic ISSN: 1862-2607
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  • 54
    Publication Date: 2015-06-02
    Description: In this paper, the dynamical behavior of different optimal iterative schemes for solving nonlinear equations with increasing order, is studied. The tendency of the complexity of the Julia set is analyzed and referred to the fractal dimension. In fact, this fractal dimension can be shown to be a powerful tool to compare iterative schemes that estimate the solution of a nonlinear equation. Based on the box-counting algorithm, several iterative derivative-free methods of different convergence orders are compared.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
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  • 55
    Publication Date: 2015-05-27
    Description: Background: Clinical trials apply standards approved by regulatory agencies for Electronic Data Capture (EDC). Operational Data Model (ODM) from Clinical Data Interchange Standards Consortium (CDISC) is commonly used. Electronic Health Record (EHR) systems for patient care predominantly apply HL7 standards, specifically Clinical Document Architecture (CDA). In recent years more and more patient data is processed in electronic form. Results: An open source reference implementation was designed and implemented to convert forms between ODM and CDA format. There are limitations of this conversion method due to different scope and design of ODM and CDA. Specifically, CDA has a multi-level hierarchical structure and CDA nodes can contain both XML values and XML attributes. Conclusions: Automated transformation of ODM files to CDA and vice versa is technically feasible in principle.
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    Topics: Computer Science , Medicine
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  • 56
    Publication Date: 2015-05-29
    Description: Background: An academic, community medicine partnership was established to build a phenotype-to-outcome model targeting chronic pain. This model will be used to drive clinical decision support for pain medicine in the community setting. The first step in this effort is an examination of the electronic health records (EHR) from clinics that treat chronic pain. The biopsychosocial components provided by both patients and care providers must be of sufficient scope to populate the spectrum of patient types, treatment modalities, and possible outcomes. Methods: The patient health records from a large Midwest pain medicine practice (Michigan Pain Consultants, PC) contains physician notes, administrative codes, and patient-reported outcomes (PRO) on over 30,000 patients during the study period spanning 2010 to mid-2014. The PRO consists of a regularly administered Pain Health Assessment (PHA), a biopsychosocial, demographic, and symptomology questionnaire containing 163 items, which is completed approximately every six months with a compliance rate of over 95 %. The biopsychosocial items (74 items with Likert scales of 0–10) were examined by exploratory factor analysis and descriptive statistics to determine the number of independent constructs available for phenotypes and outcomes. Pain outcomes were examined both in the aggregate and the mean of longitudinal changes in each patient. Results: Exploratory factor analysis of the intake PHA revealed 15 orthogonal factors representing pain levels; physical, social, and emotional functions; the effects of pain on these functions; vitality and health; and measures of outcomes and satisfaction. Seven items were independent of the factors, offering unique information. As an exemplar of outcomes from the follow-up PHAs, patients reported approximately 60 % relief in their pain. When examined in the aggregate, patients showed both a decrease in pain levels and an increase in coping skills with an increased number of visits. When examined individually, 80-85 % of patients presenting with the highest pain levels reported improvement by approximately two points on an 11-point pain scale. Conclusions: We conclude that the data available in a community practice can be a rich source of biopsychosocial information relevant to the phenotypes of chronic pain. It is anticipated that phenotype linkages to best treatments and outcomes can be constructed from this set of records.
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  • 57
    Publication Date: 2016-07-13
    Description: Health information is increasingly being digitally stored and exchanged. The public is regularly collecting and storing health-related data on their own electronic devices and in the cloud. Diabetes prevention...
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    Topics: Computer Science , Medicine
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  • 58
    Publication Date: 2016-07-15
    Description: Electronic medical records (EMR) offer a major potential for secondary use of data for research which can improve the safety, quality and efficiency of healthcare. They also enable the measurement of disease b...
    Electronic ISSN: 1472-6947
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: In the film O Brother, Where Art Thou?, when one of a trio of bungling prison escapees angrily asks another, “Who elected you leader of this outfit?” his buddy smugly quips, “I figured it should be the one with the capacity for abstract thought.” Indeed, abstract conceptual thought is held to be so central to being human that the idea of someone being incapable of this kind of thinking is a subject for (sometimes rather cruel) humor. Interest in understanding the capacity for abstract thought has been a matter of serious consideration that dates back at least three centuries to the famous English philosopher John Locke. Locke confidently contended that “brutes abstract not” (1) and insisted that exhibiting abstract thought definitively divided humans from all other animals. However, no science then existed to confirm or refute Locke's contention. On page 286 of this issue, Martinho and Kacelnik (2) put the claim that animals are incapable of abstract thought to a strong behavioral test. Author: Edward A. Wasserman
    Keywords: Cognition
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Farming was such a good idea when it was invented 10,000 to 12,000 years ago in the Fertile Crescent that it was quickly adopted by several different groups of people. According to three teams who used new techniques to gain glimpses of the nuclear DNA of the world's very first farmers, farming was adopted by at least three genetically distinct groups scattered across the Middle East and Anatolia. The research found that early farmers of Israel and Jordan were genetically distinct from those in the Zagros Mountains, and that both populations were distinct from the western Anatolians. This shows that farming wasn't spread initially by just one group of people, but that it was invented more than once—or was an idea that spread rapidly between groups. Author: Ann Gibbons
    Keywords: Ancient DNA
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Crisis informatics is a multidisciplinary field combining computing and social science knowledge of disasters; its central tenet is that people use personal information and communication technology to respond to disaster in creative ways to cope with uncertainty. We study and develop computational support for collection and sociobehavioral analysis of online participation (i.e., tweets and Facebook posts) to address challenges in disaster warning, response, and recovery. Because such data are rarely tidy, we offer lessons—learned the hard way, as we have made every mistake described below—with respect to the opportunities and limitations of social media research on crisis events. Authors: Leysia Palen, Kenneth M. Anderson
    Keywords: Social Media Research
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: How much of something do we need to keep people safe and well? This question is frequently asked by those working in risk management. Across diverse sectors from flood protection to health care, practitioners assess risk as the product of the impact of a given event and the probability of its occurrence. Although these estimates are often uncertain, policy-makers must ultimately make spending decisions aimed at averting these risks, because the costs of inaction to society can be substantial. Biodiversity loss is a similarly critical, yet uncertain, issue. On page 288 of this issue, Newbold et al. (1) quantify global biodiversity losses, providing much-needed information on the encroachment of proposed “safe limits.” Author: Tom H. Oliver
    Keywords: Ecology
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: In the 1970s, residents of a Niagara Falls neighborhood realized that chemicals from a toxic waste dump had leached into their homes, parks, and neighborhood school. Their cancers, miscarriages, and myriad chronic ailments told the tale, and in 1978 they organized, filed lawsuits, and demanded intervention. The federal government eventually complied, evacuating the residents and creating the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), also known as the Superfund Act, which provides a framework for cleaning up such sites. In his new book, Love Canal: A Toxic History from Colonial Times to the Present, Richard S. Newman urges us to see the Love Canal disaster stretched out in time, rooted in the long history of the Niagara Falls area. The crisis itself, he says, was an outcome of patterns established generations earlier that pitted developmental pressures against environmental and human health and created a "cycle of disposable land use that had long dominated area politics and economics." Author: Jacob Darwin Hamblin
    Keywords: Environmental Policy
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Authors: Brent Grocholski, Robert Coontz
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Authors: Hani Rocha El Bizri, Jonathan Christopher Bausch Macedo, Adriano Pereira Paglia, Thaís Queiroz Morcatty
    Print ISSN: 0036-8075
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: In San Diego, California, a six-story tower riddled with strain gauges and accelerometers rises from the platform of one of the world's biggest earthquake machines. This device—a sort of bull ride for buildings—is one in a network built around the United States to advance natural disaster science with more realistic and sophisticated tests. The National Science Foundation initiative has helped scientists simulate some of the most powerful and destructive forces on Earth, including earthquakes, tsunamis, and landslides. The work has led to new building standards and better ways to build or retrofit everything from wharves to older concrete buildings. Now, in a new $62 million, 5-year program, the network of doomsday machines is expanding to simulate hurricanes and tornadoes and is joining forces with computer modeling to study how things too big for a physical test—such as nuclear reactors or even an entire city—will weather what Mother Nature throws at them. Author: Warren Cornwall
    Keywords: Natural Hazards
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: What are the greatest threats to humanity and human civilization? Scholars think a self-induced catastrophe such as nuclear war or a bioengineered pandemic is most likely to do us in. But extreme natural hazards—including threats from space and geologic upheavals here on Earth—could also do the job. Although common, moderately severe disasters such as earthquakes attract far more funding and attention than low-probability apocalyptic ones, a handful of researchers persists in thinking the unthinkable. With knowledge and planning, they say, it's possible to prepare for—or in some cases prevent—rare but devastating natural disasters such as blasts of particles from the sun, collisions with near-Earth asteroids like the one that wiped out the dinosaurs, and supervolcanoes that dwarf any eruptions in recorded history. Author: Julia Rosen
    Keywords: Natural Hazards
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: Sacha Vignieri
    Keywords: Evolutionary Cognition
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Over the past 15 years, scientists and disaster responders have increasingly used satellite-based Earth observations for global rapid assessment of disaster situations. We review global trends in satellite rapid response and emergency mapping from 2000 to 2014, analyzing more than 1000 incidents in which satellite monitoring was used for assessing major disaster situations. We provide a synthesis of spatial patterns and temporal trends in global satellite emergency mapping efforts and show that satellite-based emergency mapping is most intensively deployed in Asia and Europe and follows well the geographic, physical, and temporal distributions of global natural disasters. We present an outlook on the future use of Earth observation technology for disaster response and mitigation by putting past and current developments into context and perspective. Authors: Stefan Voigt, Fabio Giulio-Tonolo, Josh Lyons, Jan Kučera, Brenda Jones, Tobias Schneiderhan, Gabriel Platzeck, Kazuya Kaku, Manzul Kumar Hazarika, Lorant Czaran, Suju Li, Wendi Pedersen, Godstime Kadiri James, Catherine Proy, Denis Macharia Muthike, Jerome Bequignon, Debarati Guha-Sapir
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    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Recent assessments agree that tropical cyclone intensity should increase as the climate warms. Less agreement exists on the detection of recent historical trends in tropical cyclone intensity. We interpret future and recent historical trends by using the theory of potential intensity, which predicts the maximum intensity achievable by a tropical cyclone in a given local environment. Although greenhouse gas–driven warming increases potential intensity, climate model simulations suggest that aerosol cooling has largely canceled that effect over the historical record. Large natural variability complicates analysis of trends, as do poleward shifts in the latitude of maximum intensity. In the absence of strong reductions in greenhouse gas emissions, future greenhouse gas forcing of potential intensity will increasingly dominate over aerosol forcing, leading to substantially larger increases in tropical cyclone intensities. Authors: Adam H. Sobel, Suzana J. Camargo, Timothy M. Hall, Chia-Ying Lee, Michael K. Tippett, Allison A. Wing
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: H. Jesse Smith
    Keywords: Glaciers
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  • 72
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: Leslie K. Ferrarelli
    Keywords: Biochemistry
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: Brad Wible
    Keywords: Health Economics
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: Paula A. Kiberstis
    Keywords: Tumor Immunology
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: Andrew M. Sugden
    Keywords: Paleogenomics
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: A weekly roundup of information on newly offered instrumentation, apparatus, and laboratory materials of potential interest to researchers.
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    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 77
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Stable ferroelectricity with high transition temperature in nanostructures is needed for miniaturizing ferroelectric devices. Here, we report the discovery of the stable in-plane spontaneous polarization in atomic-thick tin telluride (SnTe), down to a 1–unit cell (UC) limit. The ferroelectric transition temperature Tc of 1-UC SnTe film is greatly enhanced from the bulk value of 98 kelvin and reaches as high as 270 kelvin. Moreover, 2- to 4-UC SnTe films show robust ferroelectricity at room temperature. The interplay between semiconducting properties and ferroelectricity in this two-dimensional material may enable a wide range of applications in nonvolatile high-density memories, nanosensors, and electronics. Authors: Kai Chang, Junwei Liu, Haicheng Lin, Na Wang, Kun Zhao, Anmin Zhang, Feng Jin, Yong Zhong, Xiaopeng Hu, Wenhui Duan, Qingming Zhang, Liang Fu, Qi-Kun Xue, Xi Chen, Shuai-Hua Ji
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  • 78
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Author: Zachary S. Wiersma
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    Topics: Biology , Chemistry and Pharmacology , Geosciences , Computer Science , Medicine , Natural Sciences in General , Physics
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: In recent decades, hundreds of glaciers draining the Antarctic Peninsula (63° to 70°S) have undergone systematic and progressive change. These changes are widely attributed to rapid increases in regional surface air temperature, but it is now clear that this cannot be the sole driver. Here, we identify a strong correspondence between mid-depth ocean temperatures and glacier-front changes along the ~1000-kilometer western coastline. In the south, glaciers that terminate in warm Circumpolar Deep Water have undergone considerable retreat, whereas those in the far northwest, which terminate in cooler waters, have not. Furthermore, a mid-ocean warming since the 1990s in the south is coincident with widespread acceleration of glacier retreat. We conclude that changes in ocean-induced melting are the primary cause of retreat for glaciers in this region. Authors: A. J. Cook, P. R. Holland, M. P. Meredith, T. Murray, A. Luckman, D. G. Vaughan
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Quiescence is essential for long-term maintenance of adult stem cells. Niche signals regulate the transit of stem cells from dormant to activated states. Here, we show that the E3-ubiquitin ligase Huwe1 (HECT, UBA, and WWE domain–containing 1) is required for proliferating stem cells of the adult mouse hippocampus to return to quiescence. Huwe1 destabilizes proactivation protein Ascl1 (achaete-scute family bHLH transcription factor 1) in proliferating hippocampal stem cells, which prevents accumulation of cyclin Ds and promotes the return to a resting state. When stem cells fail to return to quiescence, the proliferative stem cell pool becomes depleted. Thus, long-term maintenance of hippocampal neurogenesis depends on the return of stem cells to a transient quiescent state through the rapid degradation of a key proactivation factor. Authors: Noelia Urbán, Debbie L. C. van den Berg, Antoine Forget, Jimena Andersen, Jeroen A. A. Demmers, Charles Hunt, Olivier Ayrault, François Guillemot
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  • 81
    Publication Date: 2016-07-22
    Description: Clustering is a fundamental task in data mining. Affinity propagation clustering (APC) is an effective and efficient clustering technique that has been applied in various domains. APC iteratively propagates information between affinity samples, updates the responsibility matrix and availability matrix, and employs these matrices to choose cluster centers (or exemplars) of respective clusters. However, since it mainly uses negative Euclidean distance between exemplars and samples as the similarity between them, it is difficult to identify clusters with complex structure. Therefore, the performance of APC deteriorates on samples distributed with complex structure. To mitigate this problem, we propose an improved APC based on a path-based similarity (APC-PS). APC-PS firstly utilizes negative Euclidean distance to find exemplars of clusters. Then, it employs the path-based similarity to measure the similarity between exemplars and samples, and to explore the underlying structure of clusters. Next, it assigns non-exemplar samples to their respective clusters via that similarity. Our empirical study on synthetic and UCI datasets shows that the proposed APC-PS significantly outperforms original APC and other related approaches.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-22
    Description: Author: Sacha Vignieri
    Keywords: Behavioral Ecology
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-22
    Description: Author: Kristen L. Mueller
    Keywords: Cancer Immunotherapy
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-22
    Description: Author: Beverly A. Purnell
    Keywords: Mitochondria
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-22
    Description: Author: Peter Stern
    Keywords: Memory Research
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  • 86
    Publication Date: 2016-07-23
    Description: Graph-based semi-supervised classification uses a graph to capture the relationship between samples and exploits label propagation techniques on the graph to predict the labels of unlabeled samples. However, it is difficult to construct a graph that faithfully describes the relationship between high-dimensional samples. Recently, low-rank representation has been introduced to construct a graph, which can preserve the global structure of high-dimensional samples and help to train accurate transductive classifiers. In this paper, we take advantage of low-rank representation for graph construction and propose an inductive semi-supervised classifier called Semi-Supervised Classification based on Low-Rank Representation (SSC-LRR). SSC-LRR first utilizes a linearized alternating direction method with adaptive penalty to compute the coefficient matrix of low-rank representation of samples. Then, the coefficient matrix is adopted to define a graph. Finally, SSC-LRR incorporates this graph into a graph-based semi-supervised linear classifier to classify unlabeled samples. Experiments are conducted on four widely used facial datasets to validate the effectiveness of the proposed SSC-LRR and the results demonstrate that SSC-LRR achieves higher accuracy than other related methods.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 87
    Publication Date: 2016-07-23
    Description: This research proposes a two-stage user-based collaborative filtering process using an artificial immune system for the prediction of student grades, along with a filter for professor ratings in the course recommendation for college students. We test for cosine similarity and Karl Pearson (KP) correlation in affinity calculations for clustering and prediction. This research uses student information and professor information datasets of Yuan Ze University from the years 2005–2009 for the purpose of testing and training. The mean average error and confusion matrix analysis form the testing parameters. A minimum professor rating was tested to check the results, and observed that the recommendation systems herein provide highly accurate results for students with higher mean grades.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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  • 88
    Publication Date: 2016-07-23
    Description: Epileptic seizure is a serious health problem in the world and there is a huge population suffering from it every year. If an algorithm could automatically detect seizures and deliver the patient therapy or no...
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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    Publication Date: 2016-07-23
    Description: Learning deep representations of clinical events based on their distributions in electronic health records has been shown to allow for subsequent training of higher-performing predictive models compared to the...
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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    Publication Date: 2016-07-23
    Description: Glands are vital structures found throughout the human body and their structure and function are affected by many diseases. The ability to segment and detect glands among other types of tissues is important fo...
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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    Publication Date: 2016-07-23
    Description: People want to live independently, but too often disabilities or advanced age robs them of the ability to do the necessary activities of daily living (ADLs). Finding relationships between electromyograms measu...
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 92
    Publication Date: 2016-07-23
    Description: Cancer is a disease characterized as an uncontrolled growth of abnormal cells that invades neighboring tissues and destroys them. Lung cancer is the primary cause of cancer-related deaths in the world, and it ...
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
    Published by BioMed Central
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  • 93
    Publication Date: 2016-07-27
    Description: Healthcare researchers often use multiple healthcare survey instruments to examine a particular patient symptom. The use of multiple instruments can pose some interesting research questions, such as whether th...
    Electronic ISSN: 1472-6947
    Topics: Computer Science , Medicine
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  • 94
    Publication Date: 2016-07-31
    Description: This paper is concerned with the application of computational intelligence techniques to the conceptual design and development of a large-scale floating settlement. The settlement in question is a design for the area of Urla, which is a rural touristic region located on the west coast of Turkey, near the metropolis of Izmir. The problem at hand includes both engineering and architectural aspects that need to be addressed in a comprehensive manner. We thus adapt the view as a multi-objective constrained real-parameter optimization problem. Specifically, we consider three objectives, which are conflicting. The first one aims at maximizing accessibility of urban functions such as housing and public spaces, as well as special functions, such as a marina for yachts and a yacht club. The second one aims at ensuring the wind protection of the general areas of the settlement, by adequately placing them in between neighboring land masses. The third one aims at maximizing visibility of the settlement from external observation points, so as to maximize the exposure of the settlement. To address this complex multi-objective optimization problem and identify lucrative alternative design solutions, a multi-objective harmony search algorithm (MOHS) is developed and applied in this paper. When compared to the Differential Evolution algorithm developed for the problem in the literature, we demonstrate that MOHS achieves competitive or slightly better performance in terms of hyper volume calculation, and gives promising results when the Pareto front approximation is examined.
    Electronic ISSN: 1999-4893
    Topics: Computer Science
    Published by MDPI Publishing
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Reconstructing daily life in the Bronze Age has been difficult in northern Europe. Most houses were poorly preserved, traced out by postholes or barren remains of hearths, and offer up only meager fragments of pottery. A major excavation near Peterborough, U.K., promises to fill in the picture. Archaeologists have dug up 3000-year-old roundhouses that were perched on stilts above a river, perhaps for defense or facilitating trade. The building materials and much of the contents are well-preserved because the five houses were quickly abandoned during a fire and then collapsed into a river. The rich array of artifacts includes textiles, wooden objects, metal tools, and complete sets of pottery. The arrangement of artifacts could indicate how various sections of the houses were used and perhaps new details about diet. The fact that all the buildings burned down, apparently at the same time, and the belongings were left behind, suggests the fires may have been part of an attack. Author: Erik Stokstad
    Keywords: Archaeology
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: David Fajgenbaum was in his third year of medical school at the University of Pennsylvania (UPenn) 6 years ago, on an obstetrics-gynecology rotation, when he was first hit by night sweats, fatigue, and weight loss. His eventual diagnosis: a deadly form of Castleman disease, a rare immune disorder for which knowledge was in depressingly short supply. So Fajgenbaum decided to dedicate himself to taking down this disease. He abandoned plans to become an oncologist, skipped medical residency, and enrolled in business school instead—building a powerhouse network of hundreds of physicians, researchers, and drug company employees around the world to help him decipher Castleman. He co-authored papers with his doctor, wrote a case study about himself, proposed a new model of the disease, and currently coordinates a dozen Castleman studies from his small office at UPenn, where he is an assistant professor. Author: Jennifer Couzin-Frankel
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Butterflies are better documented and monitored worldwide than any other nonpest taxon of insects (1). In the United Kingdom alone, volunteer recorders have sampled more than 750,000 km of repeat transects since 1976, equivalent to walking to the Moon and back counting butterflies (2). Such programs are revealing regional extinctions and population declines that began before 1900 (3, 4). In a recent study, Habel et al. report a similar story based on inventories of butterflies and burnet moths since 1840 in a protected area in Bavaria, Germany (5). The results reveal severe species losses: Scarce, specialized butterflies have largely disappeared, leaving ecosystems dominated by common generalist ones. Similar trends are seen across Europe (6) and beyond, with protected areas failing to conserve many species for which they were once famed. Author: Jeremy A. Thomas
    Keywords: Ecology
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: Chromatin structure stabilizes and compacts the genome to package it within the nucleus. This structure also serves as a dynamic regulator of gene expression, silencing or activating transcription depending on molecular signals impinging upon it. It has been understood for the past two decades that chromatin stabilizes gene readout after cell-fate determination, establishing and perpetuating the precise pattern of genes transcribed in a given cell to maintain its phenotype (1, 2). But what about dynamic regulation of chromatin structure and its biological role? On page 300 of this issue, Yang et al. (3) describe how dynamic regulation of chromatin remodeling controls cerebellar circuit development, function, and cerebellum-dependent learning and memory, and challenge prevailing epigenetics dogma in the central nervous system. Author: J. David Sweatt
    Keywords: Gene Expression
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: A new study suggests that common settings used in software for analyzing brain scans may lead to false positive results. Researchers led by Anders Eklund, an electrical engineer at Linköping University in Sweden, analyzed functional magnetic resonance imaging (fMRI) data from several public databases. Certain software settings, the team found, could give rise to a false positive result up to 70% of the time. In the context of a typical fMRI experiment, that could lead researchers to wrongly conclude that activity in a certain area of the brain plays a role in a cognitive function such as perception or memory. Author: Greg Miller
    Keywords: Neuroscience
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    American Association for the Advancement of Science (AAAS)
    In: Science
    Publication Date: 2016-07-15
    Description: In science news around the world, the United States sets final safety regulations for oil and gas drilling in its Arctic waters, Australian researchers announce that the AIDS epidemic in the country is over—but caution that too many people are still being infected with HIV, the U.S. Food and Drug Administration halts a trial of a cancer drug following the deaths of three young adults with leukemia, French researchers sharply criticize the nomination of a policy expert rather than a scientist as the next head of the country's agricultural research institute, and more. Also, an Italian judge clears bird flu expert Ilaria Capua of a series of criminal charges brought against her 2 years ago. And the world's largest population of chinstrap penguins may be in peril because of an erupting volcano on their remote south Atlantic island.
    Keywords: SCI COMMUN
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