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  • Articles  (3,756)
  • Latest Papers from Table of Contents or Articles in Press  (3,756)
  • De Gruyter  (3,756)
  • 2020-2024  (64)
  • 1965-1969  (2,024)
  • 1960-1964  (1,668)
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  • Articles  (3,756)
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  • Latest Papers from Table of Contents or Articles in Press  (3,756)
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  • 1
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    A hierarchical Bayesian approach for detecting global microbiome associations (2021)
    De Gruyter
    Details
    Publication Date: 2021-10-29
    Description: The human gut microbiome has been shown to be associated with a variety of human diseases, including cancer, metabolic conditions and inflammatory bowel disease. Current approaches for detecting microbiome associations are limited by relying on specific measures of ecological distance, or only allowing for the detection of associations with individual bacterial species, rather than the whole microbiome. In this work, we develop a novel hierarchical Bayesian model for detecting global microbiome associations. Our method is not dependent on a choice of distance measure, and is able to incorporate phylogenetic information about microbial species. We perform extensive simulation studies and show that our method allows for consistent estimation of global microbiome effects. Additionally, we investigate the performance of the model on two real-world microbiome studies: a study of microbiome-metabolome associations in inflammatory bowel disease, and a study of associations between diet and the gut microbiome in mice. We show that we can use the method to reliably detect associations in real-world datasets with varying numbers of samples and covariates.
    Electronic ISSN: 1544-6115
    Topics: Biology
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  • 2
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    Tumor cell lysis and synergistically enhanced antibody-dependent cell-mediated cytotoxicity by NKG2D engagement with a bispecific immunoligand targeting the HER2 antigen (2021)
    De Gruyter
    Details
    Publication Date: 2021-10-29
    Description: Natural killer group 2 member D (NKG2D) plays an important role in the regulation of natural killer (NK) cell cytotoxicity in cancer immune surveillance. With the aim of redirecting NK cell cytotoxicity against tumors, the NKG2D ligand UL-16 binding protein 2 (ULBP2) was fused to a single-chain fragment variable (scFv) targeting the human epidermal growth factor receptor 2 (HER2). The resulting bispecific immunoligand ULBP2:HER2-scFv triggered NK cell-mediated killing of HER2-positive breast cancer cells in an antigen-dependent manner and required concomitant interaction with NKG2D and HER2 as revealed in antigen blocking experiments. The immunoligand induced tumor cell lysis dose-dependently and was effective at nanomolar concentrations. Of note, ULBP2:HER2-scFv sensitized tumor cells for antibody-dependent cell-mediated cytotoxicity (ADCC). In particular, the immunoligand enhanced ADCC by cetuximab, a therapeutic antibody targeting the epidermal growth factor receptor (EGFR) synergistically. No significant improvements were obtained by combining cetuximab and anti-HER2 antibody trastuzumab. In conclusion, dual-dual targeting by combining IgG1 antibodies with antibody constructs targeting another tumor associated antigen and engaging NKG2D as a second NK cell trigger molecule may be promising. Thus, the immunoligand ULBP2:HER2-scFv may represent an attractive biological molecule to promote NK cell cytotoxicity against tumors and to boost ADCC.
    Print ISSN: 1431-6730
    Electronic ISSN: 1437-4315
    Topics: Biology , Chemistry and Pharmacology
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  • 3
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    Penalized likelihood estimation of the proportional hazards model for survival data with interval censoring (2021)
    De Gruyter
    Details
    Publication Date: 2021-10-27
    Description: This paper considers the problem of semi-parametric proportional hazards model fitting where observed survival times contain event times and also interval, left and right censoring times. Although this is not a new topic, many existing methods suffer from poor computational performance. In this paper, we adopt a more versatile penalized likelihood method to estimate the baseline hazard and the regression coefficients simultaneously. The baseline hazard is approximated using basis functions such as M-splines. A penalty is introduced to regularize the baseline hazard estimate and also to ease dependence of the estimates on the knots of the basis functions. We propose a Newton–MI (multiplicative iterative) algorithm to fit this model. We also present novel asymptotic properties of our estimates, allowing for the possibility that some parameters of the approximate baseline hazard may lie on the parameter space boundary. Comparisons of our method against other similar approaches are made through an intensive simulation study. Results demonstrate that our method is very stable and encounters virtually no numerical issues. A real data application involving melanoma recurrence is presented and an R package ‘survivalMPL’ implementing the method is available on R CRAN.
    Print ISSN: 2194-573X
    Electronic ISSN: 1557-4679
    Topics: Biology , Mathematics , Medicine
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  • 4
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    Possibility of applying geoinformation multiagent optimisation for planning the development of road networks (2021)
    De Gruyter
    Details
    Publication Date: 2021-10-26
    Description: In recent years, computational intelligence has been used to solve optimisation problems. An innovative direction in the development of artificial intelligence methods is multiagent methods of intellectual optimisation, which simulate the collective behaviour of insects, animals and other living beings. It indicates the effectiveness of their behaviour, and hence the effectiveness of these methods, and the ability to be involved in solving applied problems. This article is devoted to the study of the development of road transport networks using the metaheuristic ant method of optimisation based on a number of data. The initial data were geospatial layers of information on slope steepness, engineering structures, forests, perennials, land development and hydrographic objects. The parameters of the behaviour of the studied method under different conditions and volumes of input geospatial data are experimentally established. The Max–Min method of multiagent optimisation is modified. The proposed modification takes into account the functional distance – the coefficient of the complexity of the route, which affects its length. This modification had an effective influence on the behaviour of ants and the choice of optimal routes, taking into account the terrain as one of the factors. The result of the advancement is an informational system, which is capable of formulating flexible options for passing optimal alternative routes between specified settlements.
    Print ISSN: 0867-3179
    Electronic ISSN: 2391-8152
    Topics: Architecture, Civil Engineering, Surveying , Geosciences
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  • 5
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    Energy Efficiency Benchmark in Textile Manufacturing Companies (2021)
    De Gruyter
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    Publication Date: 2021-01-01
    Description: Within the framework of the study a case study is performed, the data provided by a Latvian textile production company on their electricity and natural gas consumption, as well as production volumes over a three-year period have been analysed. The specific indicators of electricity, natural gas and CO2 emissions have been calculated and the obtained results are shown in graphs. The correlation of specific indicators with production volumes was analysed by correlation coefficient and linear regression methods. An analysis of statistical data for the calculated specific indicators over a three-year period has been performed. The obtained results show high seasonality of natural gas consumption and close connection between electricity consumption and production volumes.
    Print ISSN: 1691-5208
    Electronic ISSN: 2255-8837
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 6
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    Production of Biodiesel from Moringa Oleifera and Jatropha Curcas Seed Oils over a Modified ZnO/Fly Ash Catalyst (2021)
    De Gruyter
    Details
    Publication Date: 2021-01-01
    Description: Methyl ester biodiesel was produced from Moringa Oleifera oil and Jatropha Curcas oil with the sole aim of assessing the feasibility of the feedstocks as viable sources of biodiesel in Botswana. Oil extraction and transesterification were carried out under identical experimental conditions for both Jatropha Curcas and Moringa Oleifera biomass. Oil was extracted from seeds through a soxhlet extraction method using the solvent, n-hexane. The extracted oil was then trans-esterified at 60 °C using a methanol/oil ratio of 12:1 at a stirring rate of 350 rpm, 3 wt. % catalyst loading and 120 min reaction time. Zinc Oxide modified with fly ash was used as heterogeneous catalyst for the process. GC analysis results of biodiesels produced indicated that the highest biodiesel yield was obtained from Jatropha seed oil. Moringa biodiesel showed a greater proportion of docosanedioic acid while Jatropha biodiesel composed of oleic acid in larger proportions. Both oleic and docosanedioic acid are unsaturated methyl esters. The results obtained suggests Jatropha as the more suitable feedstock as compared to Moringa.
    Print ISSN: 1691-5208
    Electronic ISSN: 2255-8837
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 7
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    The Importance of Science, Technology and Innovation in the Green Growth and Sustainable Development Goals of Colombia (2021)
    De Gruyter
    Details
    Publication Date: 2021-01-01
    Description: Green growth and sustainable development goals (SDGs) are two strategies to improve the productivity and competitiveness of countries with respect to environmental protection. In these strategies, science, technology and innovation (STI) plays an important role in generating new knowledge. Colombia is a highly diversified country that is currently seeking to promote green growth initiatives and the SDGs through five axes: policy, new economic opportunities from the sustainable use of natural resources, the efficient use of natural capital and energy in production, business and human competences and capacities in STI. In this context, this study seeks to analyse the main contributions and adequate measures that determine the relationships between green growth, SDGs and STI in Colombia over recent years using different econometric models. The results of this study suggest the importance of STI in promoting green growth and achieving SDGs. In other words, higher investments in STI promote lower pollution and higher productivity, competitiveness and development, and new knowledge and technologies are found to be important to increasing the sustainable use of natural resources in productive processes. These results suggest policy implications with regard to energy use and conservation, resource efficiency, and the reduction of pollution. It is important to formulate and frequently measure the indicators of STI related to green growth and SDGs from a baseline, as this will allow us to analyse improvements in competitiveness and productivity from a sustainable development perspective.
    Print ISSN: 1691-5208
    Electronic ISSN: 2255-8837
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 8
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    Importance of Energy Efficiency in Manufacturing Industries for Climate and Competitiveness (2021)
    De Gruyter
    Details
    Publication Date: 2021-01-01
    Description: The manufacturing industry in Europe is currently enfacing one of its greatest challenges due to the emission reductions needed to reach carbon neutrality by the middle of this century. The European Union’s Energy Efficiency Directive and Green Deal will force manufacturing industries to significantly reduce their present energy consumption, but at the same time sustain their competitiveness globally. Here we use the Latvian manufacturing industry as a case to analyse how different macro-level factors have affected its energy use and how the industrial energy efficiency has progressed during the last decade. We apply the Log-Mean Divisia index decomposition method to decompose the energy use in the manufacturing subsectors over the period of the past ten years from 2010 to 2019. The findings unravel the key driving factors of industrial energy consumption, which could serve as a valuable basis for effective energy efficiency policymaking in the future. The results show that energy consumption trends differed across industrial subsectors and the effect of industrial energy efficiency improvements was more pronounced in the period following the entry into force of Energy Efficiency Law in Latvia. Significant increases in energy consumption are observed in the two largest Latvian manufacturing subsectors, such as the non-metallic minerals production sector and the wood processing sector, where the current pace of energy efficiency improvements cannot compensate for the effect of increasing industrial activity, which increases overall industrial energy consumption. The results suggest that the Latvian manufacturing industry is at the crossroads of the sustainability dilemma between economic gains and energy saving targets.
    Print ISSN: 1691-5208
    Electronic ISSN: 2255-8837
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 9
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    Strategic Environmental Assessment of the Territory as a Public Management Instruments for Technological Development. A Case of Ukraine (2021)
    De Gruyter
    Details
    Publication Date: 2021-01-01
    Description: The study aims to substantiate theoretical and methodological aspects of the use of strategic environmental assessment as an instrument for public regulation of the ecological status of territories. The research methodology is based on using a systematic approach for conducting a strategic environmental assessment of the possibility of environmental problems and threats posed by the implementation of long-term projects and current activities. The development of ecological balance, comparison of the results of normative and exploratory forecasts of the state of the environment become the basis for the formation of goals of strategic environmental management, the appearance of a set of measures for the conservation and restoration of natural resources. Identification of factors influencing the state of the environment is a necessary condition for the prevention of pollution of territories, inefficient use of natural resources, justification of the essential measures of state regulation to ensure the achievement of goals. The practical experience of assessing the achievements in the management of the conditions of the environment is illustrated by the example of regions of Ukraine. The proposed approach to the development of the ecological balance and the methodology of complex assessment of the ecological status of the territory have scientific novelty and contribute to the assessment of the effectiveness of public administration balanced development of the territories.
    Print ISSN: 1691-5208
    Electronic ISSN: 2255-8837
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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  • 10
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    Characteristics Influencing Digital Technology Choice in Digitalization Projects of Energy Industry (2021)
    De Gruyter
    Details
    Publication Date: 2021-01-01
    Description: Digitalization projects are actively underway in the energy industry, such as the power industry and oil and gas industry. However, there has been no in-depth and quantitative analysis of the relationships between the participants, industry, and technology of digital projects. Therefore, this study focused on which technologies are invested according to key characteristics such as the types of participants and industries driving digitalization projects. This study also examined whether there are differences in technology choices depending on the degree of clean energy exposure. Based on statistics from Bloomberg New Energy Finance (BNEF), a total of 711 projects were analysed using multinomial logistic regression (MNLR). As a result, the proportion of Analytics software was generally higher in the whole industry, and the energy industry was more likely to invest in Analytics software than in other industries. Comparing the power, oil and gas sectors, there was a high probability of investment in Internet of Things (IoT) in the power sector and Automation in the oil and gas sector. In the type of cooperation between energy companies and industrial companies, the probability of investing in Analytics software was significantly higher. In the case of cooperation between energy companies and information and communications technology (ICT) companies, in the oil and gas sector, Analytics software and Cloud/Data accounted for a large proportion. This study provides insight into the effect of characteristics of energy digitalization projects on the technology choice.
    Print ISSN: 1691-5208
    Electronic ISSN: 2255-8837
    Topics: Energy, Environment Protection, Nuclear Power Engineering
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