ALBERT

Description: The use of small wind turbines (SWTs) is an alternative energy strategy with increasing potential for satisfying in situ electrical demands and should be studied to promote social penetration. The Valley of Mexico Metropolitan Area (VMMA) has air pollution issues that need to be addressed. This has resulted in programs for monitoring atmospheric variables, such as wind speed. By selecting and using 3 years’ worth of available data, we developed a methodology to study the technical and economic feasibility of using SWTs in the VMMA. To this end, 28 SWT models were assessed at 18 locations to estimate annual energy production. In light of certain data characteristics, an adjustment to the power production was proposed for the specific case of using SWTs. Cash flow analysis and annualized net present value (ANPV) were used to determine economic feasibility for each location; furthermore, electric home feeds in the VMMA were considered to model local economic conditions. Similar wind conditions were observed within the VMMA; however, only two wind turbine and location models provided positive ANPV values. The extra annual benefit for each project was calculated by associating the cost per mitigation of CO2 emissions, which may provide an economic strategy for promoting the penetration of this technology.

Description: Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall detection systems can mitigate negative consequences of falls. Among the important challenges and issues reported in literature is the difficulty of fair comparison between fall detection systems and machine learning techniques for detection. In this paper, we present UP-Fall Detection Dataset. The dataset comprises raw and feature sets retrieved from 17 healthy young individuals without any impairment that performed 11 activities and falls, with three attempts each. The dataset also summarizes more than 850 GB of information from wearable sensors, ambient sensors and vision devices. Two experimental use cases were shown. The aim of our dataset is to help human activity recognition and machine learning research communities to fairly compare their fall detection solutions. It also provides many experimental possibilities for the signal recognition, vision, and machine learning community.

Description: Canopy temperature (Tc) by thermal imaging is a useful tool to study plant water status and estimate other crop traits. This work seeks to estimate grain yield (GY) and carbon discrimination (Δ13C) from stress degree day (SDD = Tc − air temperature, Ta), considering the effect of a number of environmental variables such as the averages of the maximum vapor pressure deficit (VPDmax) and the ambient temperature (Tmax), and the soil water content (SWC). For this, a set of 384 and a subset of 16 genotypes of spring bread wheat were evaluated in two Mediterranean-climate sites under water stress (WS) and full irrigation (FI) conditions, in 2011 and 2012, and 2014 and 2015, respectively. The relationship between the GY of the 384 wheat genotypes and SDD was negative and highly significant in 2011 (r2 = 0.52 to 0.68), but not significant in 2012 (r2 = 0.03 to 0.12). Under WS, the average GY, Δ13C, and SDD of wheat genotypes growing in ten environments were more associated with changes in VPDmax and Tmax than with the SWC. Therefore, the amount of water available to the plant is not enough information to assume that a particular genotype is experiencing a stress condition.

Description: This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumption and cost, are obtained by a Genetic Algorithm (GA) considering the renewable energy availability as well as the user activity level (AL) inside the house. The extensive solutions search characteristic of the GAs is seized to avoid the calculation of the full set of Pareto front solutions, i.e., from a reduced set of non-dominated solutions in the Pareto sense, an optimal solution with the best fitness is obtained, reducing considerably the computational time. The HEEMS considers models of the air conditioner, clothes dryer, dishwasher, electric stove, pool pump, and washing machine. Models of the wind turbine and solar PV modules are also included. The wind turbine model is written in terms of the generated active power exclusively dependent on the incoming wind profiles. The solar PV modules model accounts for environmental factors such as ambient temperature changes and irradiance profiles. The effect of the energy storage unit on the energy consumption and costs is evaluated adapting a model of the device considering its charge and discharge ramp rates. The proposed algorithm is implemented in the Matlab® platform and its validation is performed by comparing its results to those obtained by a freeware tool developed for the energy management of smart residential loads. Also, the evaluation of the performance of the proposed HEEMS is carried out by comparing its results to those obtained when the multi-objective optimization problem is solved considering weights assigned to each objective function. Results showed that considerable savings are obtained at reduced computational times. Furthermore, with the calculation of only one solution, the end-user interaction is reduced making the HEEMS even more manageable than previously proposed approaches.

Description: Tourism has become a fundamental industry for the economic growth of many countries. Due to this, there is growing competitiveness among the different destinations to attract as many tourists as possible. As a result, disciplines such as marketing have developed tools to differentiate some destinations from others and concepts such as place branding and country brand have emerged. One of the key factors forming the country brand is gastronomy, as food tourism is one way to reduce the growing problem of sustainability in tourism, as it impacts different aspects of the country’s environment. However, there is a great lack of scientific works that relate both variables. In this paper, we propose to establish that, in the case of Spain, tourists’ perception of Spanish gastronomy is a key element of its country brand. To do that, this study relies on the use of Partial Least Squares Structural Equations Modeling (PLS-SEM) using a 496 cases data set.

Description: Introduction: The management of venous thromboembolism (VTE) and the prevention of recurrent VTE consists of anticoagulation primarily with Vitamin K Antagonists (VKA). The main adverse effect of anticoagulation is bleeding. This study aimed to investigate the predictors of major bleeding in patients with first VTE treated with VKA. Methods: A cohort study was undertaken using the United Kingdom's Clinical Practice Research Datalink with additional data from hospitalizations and causes of death. Patients with incident first VTE between 2008-2013 treated with VKA, i.e. starting VKA treatment within 60 days after first VTE, were included in the cohort. Major bleeding was defined in accordance with the International Society of Thrombosis and Haemostasis recommendations comprising fatal bleeds, bleeds at a critical site, and bleeding events in association with anemia or blood transfusions. Patients were followed until the end of the first VKA treatment episode. Hazard ratios of potential predictors for major bleeding during the first VKA treatment episode were estimated from Cox regression models which included recognized predictors for major bleeding before the diagnosis of VTE, and a list of potential predictors during VKA treatment. Results: Among 10,118 VKA-treated VTE patients the incidence rate of major bleeding was 2.6 (95% confidence interval (CI), 2.2-3.1) per 100 person-years (145 major bleeds during 5,548 person-years of VKA use). Among baseline characteristics, predictors for major bleeding (Table) included increasing age, and history of a major bleeding and of a non-major clinically relevant bleeding. Furthermore the following events after the first VTE (80 of 145 cases) were also associated with an increased risk of major bleeding: non-major clinically relevant bleeding, HR 2.88 (95% CI, 1.85 - 4.46), active cancer 4.13 (2.48-6.89), trauma 14.05 (7.96-24.82), surgery 3.27 (1.29-8.28), and medical illness 3.03 (1.87-4.90). Additional predictors for major bleeding were new onset or history of moderate/severe liver disease, 7.44 (2.93-18.92), or renal disease, 1.73 (1.19-2.52). Conclusions: Assessment for and awareness of these predictors prior to and during VKA treatment is needed to prevent major bleeding events. Caution is warranted in patients with these independent risk factors. Table 1. Association between factors at first VTE and during VKA treatment and major bleeding Incident major bleeding after first VTE n (%) Crude hazard ratio (95%-CI) Adjusted hazard ratio (95%-CI) Total 145 (100) Age1

Description: Acute lymphoblastic leukemia (ALL) is a highly aggressive blood cancer affecting children and adults. Certain high-risk disease subsets have poor outcomes and often debilitating therapy-related toxicities stemming from direct inhibition of the oncogenes. We hypothesize that the process of oncogenic transformation is driven by aberrant activity of oncogene-associated chromatin modifying partners. These changes create a chromatin environment unique to the malignant state and, therefore, disruption of critical oncogenic chromatin signatures would not likely affect healthy tissues. We have generated strong evidence for the intertwined roles between the NOTCH1 oncogenic pathway and deubiquitinase enzymes in T cell leukemia, members of the ubiquitin-specific proteases (USP) family in particular. Members of the USP family physically interact with NOTCH1 and the lysine 27 on histone H3 (H3K27) demethylase JMJD3 and this methylation-ubiquitination biology-related axis coordinates regulation of transcriptional initiation and elongation, vital for the survival of leukemia cells. Interestingly transcription of USP genes is positively controlled by NOTCH1 creating a feedback loop in leukemia. We have further characterized this oncogenic axis using a combination of small molecule inhibitors and genetic engineering of USPs in ALL cell lines, primary patient samples and primagraft models of disease. We are able to show that a) USP activity is important for certain oncogenic pathways (such as NOTCH1) in leukemia; b) Oncogenes and USP enzymes co-bind certain areas in the leukemia genome; c) Ubiquitination of histone H2B acts in a combinatorial fashion with H3K27me, is a major epigenetic change affected by the USP activity in leukemia and controls d) transcriptional elongation. Finally we demonstrate that f) chemical inhibition or down-regulation of USPs affect leukemia growth in vitro and in vivo. Ongoing and future studies include manipulation of USP levels in mouse models of leukemia as well as combinatorial use of USP inhibitors with chemotherapeutic regiments in vitro using matched diagnosis-relapsed primary samples and in xenograft studies. Information gained from these studies will lend rationale towards the use of small molecule inhibitors against USP proteins in clinical trials for the treatment of aggressive and relapsed ALL. Disclosures Kumar: Progenra Inc.: Employment. Wang:Progenra Inc.: Employment. Wu:Progenra Inc.: Employment.

Description: Key Points Genetic inactivation of Parp-2 in mice, but not of Parp-1, resulted in bone marrow failure in response to sublethal γ-irradiation dose. Parp-2 plays an essential role in the DNA damage response in HSPC maintaining hematopoietic homeostasis under stress conditions.