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Performance of evolutionary optimized machine learning for modeling total organic carbon in core samples of shale gas fields

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Petroleum 2024年第1期10卷 150-164页

作者： Leonardo Goliatt C.M.Saporetti L.C.Oliveira e.Pereira Department of Computational and Applied Mechanics Federal University of Juiz de ForaJuiz de ForaBrazil Department of Computational Modeling Polytechnic InstituteRio de Janeiro State UniversityNova FriburgoBrazil Petrobras Rio de JaneiroBrazil Department of Stratigraphy and Paleontology Rio de Janeiro State UniversityRio de JaneiroBrazil

Rock samples'TOC content is the best indicator of the organic matter in source *** origin rock samples’analysis is used to calculate it manually by *** method requires time and resources because it relies on samples from many well intervals in source ***,research has been done to aid this *** learning algorithms can estimate total organic carbon instead of well logs and stratigraphic *** light of these efforts,the current work present a study on automating the total organic carbon estimation using machine learning approaches improved by an evolutionary methodology to give the model flexibility and *** algorithms,differential evolution,particle swarm optimization,grey wolf optimization,artificial bee colony,and evolution strategies were used to improve machine learning models to predict *** six metaheuristics were integrated into four machine learning methods:extreme learning machine,elastic net linear model,linear support vector regression,and multivariate adaptive regression *** samples from the YuDong-Nan shale gas field,located in the Sichuan basin,were used to evaluate the hybrid *** findings show that combining machine learning models with an evolutionary algorithms in a hybrid fashion produce flexible models that accurately predict *** results show that,independent of the metaheuristic used to guide the model selection,optimized extreme learning machines attained the best performance scores according to six *** hybrid models can be used in exploratory geological research,particularly for unconventional oil and gas resources.

关键词： Total organic carbon Hybrid models Automated machine learning evolutionary algorithms Geology

维普期刊数据库

Music as medicine for traumatic brain injury:a perspective on future research directions

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Neural Regeneration Research 2024年第10期19卷 2105-2106页

作者： Anthony e.Kline eleni H.Moschonas Corina O.Bondi Department of Physical Medicine&Rehabilitation University of PittsburghPittsburghPAUSA Safar Center for Resuscitation Research University of PittsburghPittsburghPAUSA Center for Neuroscience University of PittsburghPittsburghPAUSA Department of Critical Care Medicine University of PittsburghPittsburghPAUSA Center for the Neural Basis of Cognition University of PittsburghPittsburghPAUSA Department of Psychology University of PittsburghPittsburghPAUSA Department of Neurobiology University of PittsburghPittsburghPAUSA

Traumatic brain injury(TBI) impacts 69 million individuals globally each year and is a leading cause of death and disability(Dewan et al.,2019).The majority of moderate-to-severe TBI survivors endure long-lasting disturbances in motor,cognitive,and affect that negatively impacts their *** a plethora of research on pharmacological interventions for TBI has been conducted,none has translated to the clinic,thus advocating for the evaluation of nonpharmacological therapeutic approaches that may increase translational success.

关键词： injury traumatic

维普期刊数据库

Decision and Coordination of an e-commerce Supply Chain Considering Returns and Network externalities

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Journal of Systems Science and Systems engineering 2024年第5期33卷 552-575页

作者： Liang Shen Fei Lin Yuyan Wang Luping Ding T.C.e.Cheng Dexia Wang School of Public Finance and Taxation Shandong University of Finance and Economicsjinan 250014China bschool of Management Science and engineering Shandong University of Finance and EconomicsJinan 250014China PolyU Business School The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong 999077China

Considering the large number of returns in online sales and the network externalities of e-platforms,we develop a decentralized model and a centralized model to explore the impacts of returns and network externalities on e-commerce supply chain(eCSC)*** show that in the decentralized model,the service level,price,market demand,and eCSC members’profits increase with the network externality ***,the service level and price increase,while the market demand and eCSC members’profits decrease with the product return *** centralized model is the optimal operating mode when it is properly *** design the“commission and return cost-sharing”contract to optimize eCSC,in which the proportion of the e-platform’s sharing of the return handling cost is exactly equal to the proportion of the system profit after *** on the decentralized model,we develop two extended models in which we endogenize the impacts of the service level and return rate on the network externality *** comparisons between the extended and decentralized models,we show that high-quality service can improve eCSC’s profitability,while a high return rate hurts its economic performance.

关键词： e-commerce supply chain coordination mechanism network externalities return products

Combating obesity in Southeast Asia countries:current status and the way forward

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Global Health Journal 2024年第3期8卷 147-151页

作者： e Siong Tee Siok Hui Voon Southeast Asia Public Health Nutrition Network Council of Nutrition Society of MalaysiaPetaling JayaSelangor 46150Malaysia

Obesity is gaining prominence as a serious public health challenge in the Southeast Asia(SeA)region,with an alarming rate of increase in its *** in the region have shown commitment to curbing the rise of obesity by establishing policies,strategies,and action *** paper summarises the current situation and strategies undertaken to combat obesity and related chronic *** a range of policies and strate-gies have been developed,including national nutrition action plans,community intervention programmes,fiscal measures,nutrition labelling to promote healthier choices,countries in the region are struggling to make signifi-cant progress toward halting the scourge of *** is imperative to strengthen existing health systems with a paradigm shift from a focus on"sick care"to and enhancing nutrition initiatives to support obesity prevention.A comprehensive and coordinated approach is essential,one that emphasises high-level coordination across all lev-els of government and multiple sectors,and a unified plan rather than fragmented *** strategies to be effective and sustainable,they must address the fundamental environmental determinants of poor dietary choices and nutritional inequalities.A more holistic approach is clearly needed to improve the entire food environment,which in SeA countries must include the multitude of eating places where large segments of the population"eat out"everyday to meet their energy and nutrient *** is a recognised need for more comprehensive measures to promote healthy eating among school children and ensure a supportive environment for lifelong healthy *** paper calls for a whole-of-government,whole-of-society approach that combines changes to the fundamental food environment and accompanied by systematic monitoring and surveillance systems to achieve long-lasting health outcomes.

关键词： Obesity Obesity prevention Policies Strategies Southeast Asia

Phanerozoic co-evolution of O2-CO2 and ocean habitability

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National Science Review 2024年第6期11卷 18-21页

作者： Zunli Lu Rosalind e.M.Rickaby Jonathan L.Payne Ashley N.Prow Department of earth & environmental Sciences Syracuse University Department of earth Sciences University of Oxford Department of earth and Planetary Sciences Stanford University

Atmospheric carbon dioxide and oxygen concentrations are partially linked via the geological cycle of organic carbon （Fig. 1A–C; e.g. CO2+H2O■CH2O+O2）. The history of these two biologically active components, controls on their concentrations, and implications for the complexity of the biosphere and habitability of earth have been hotly debated, but are generally considered independently.

关键词： CO2-CONCeNTRATING MeCHANISM OXYGeN eVOLUTION ANOXIA

Human extracellular matrix(eCM)-like collagen and its bioactivity

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Regenerative Biomaterials 2024年第4期3卷 14-26页

作者： Hui Zhou Wenwei Li Lixin Pan Tianci Zhu Teng Zhou e.Xiao Qiang Wei State Key Laboratory of Polymer Materials and engineering College of Polymer Science and EngineeringSichuan UniversityChengdu 610065China Hunan Maybio Bio-Pharmaceutical Co. LtdChangsha 410000China

Collagen,the most abundant structural protein in the human extracellular matrix(eCM),provides essential support for tissues and guides tissue *** its widespread use in tissue engineering,there remains uncertainty regarding the optimal selection of collagen ***-derived sources pose challenges such as immunogenicity,while the recombinant system is hindered by diminished *** this study,we hypothesized that human eCM-like collagen(hCol)could offer an alternative for tissue *** this study,a facile platform was provided for generating hCol derived from mesenchymal stem cells with a hierarchical structure and biochemical properties resembling native *** results further demonstrated that hCol could facilitate basal biological behaviors of human adipose-derived stem cells,including viability,proliferation,migration and adipocyte-like ***,it could promote cutaneous wound *** to its high similarity to native collagen and good bioactivity,hCol holds promise as a prospective candidate for in vitro and in vivo applications in tissue engineering.

关键词： extracellular matrix native-like collagen cell-derived matrix hierarchical structure

The landscape of epigenetic regulation and therapeutic application of N^(6)-methyladenosine modifications in non-coding RNAs

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Genes & Diseases 2024年第5期11卷 236-251页

作者： Gui-e Xu Xuan Zhao Guoping Li Priyanka Gokulnath Lijun Wang Junjie Xiao Institute of Geriatrics(Shanghai University) Affiliated Nantong Hospital of Shanghai University(The Sixth People’s Hospital of Nantong)and School of Life SciencesShanghai UniversityNantongJiangsu 226011China Cardiac Regeneration and Ageing Lab Institute of Cardiovascular SciencesShanghai Engineering Research Center of Organ RepairSchool of Life ScienceShanghai UniversityShanghai 200444China Cardiovascular Division of the Massachusetts General Hospital and Harvard Medical School BostonMA 02114USA

RNA N^(6)-methyladenosine(m^(6)A)methylation is the most abundant and conserved RNA modification in *** participates in the regulation of RNA metabolism and various pathophysiological ***-coding RNAs(ncRNAs)are defined as small or long transcripts which do not encode proteins and display numerous biological regulatory *** to mRNAs,m^(6)A deposition is observed in *** RNA m^(6)A modifications on ncRNAs is of great importance specifically to deepen our understanding of their biological roles and clinical *** this review,we summarized the recent research findings regarding the mutual regulation between RNA m^(6)A modification and ncRNAs(with a specific focus on microRNAs,long non-coding RNAs,and circular RNAs)and their *** also discussed the challenges of m^(6)A-containing ncRNAs and RNA m^(6)A as therapeutic targets in human diseases and their future perspective in translational roles.

关键词： Circular RNA epigenetic regulation Long non-coding RNA MicroRNA Non-coding RNA RNA m^(6)A modification

Sustainable food waste management using modified fuzzy improved analytic hierarchy process:a study of Malaysia

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Waste Disposal and Sustainable energy 2024年第1期6卷 63-84页

作者： Chun Yuan Choo Syariza Abdul-Rahman Abdul Malek Yaakob emy e.A-Jalil Department of Decision Science School of Quantitative SciencesUniversiti Utara Malaysia06010SintokKedahMalaysia Institute of Strategic Industrial Decision Modeling School of Quantitative SciencesCollege of Arts and SciencesUniversiti Utara Malaysia06010SintokKedahMalaysia Technology and Supply Chain excellence Institute School of Technology Management and LogisticsUniversiti Utara Malaysia06010SintokKedahMalaysia

Food waste generation is a pressing issue that requires urgent attention and concerted efforts *** staggering amount of food wasted each year not only wastes valuable resources but also exacerbates environmental,economic,and social *** Waste Management(FWM)consists of a complex array of criteria and sub-criteria,and treatments which seems *** is a need to evaluate the FWM with the help of important criteria and sub-criteria and treatments to address this *** this study,we identified four important criteria,21 sub-criteria,and four alternatives of FWM for the case of Malaysia using the integrated approach of literature review and expert ***,we employed the approach of Modified Fuzzy Improved Analytical Hierarchy Process(IAHP)to corroborate the interrelationships among the identified criteria and sub-criteria,and their associated *** study undertakes linear normalization methods to transform data into comparable numerical values and the Geometric Mean method to handle uncertainty in human ***,the Centroid method is employed to convert fuzzy weights into crisp sets for ease of *** results indicate that environmental is the most essential criterion,followed by social,economic,and *** addition,air and water pollution is identified as the most critical *** Soldier Fly is discovered as the most sustainable FWM treatment,since it performs the best while meeting all the criteria and sub-criteria *** analysis demonstrates that the outputs from the proposed method are robust and *** finding suggests a proper and robust approach to help decision-makers select suitable FWM treatments to tackle various criteria and alternatives especially when handling inconsistent and uncertain judgments during evaluation.

关键词： Multi-criteria decision-making Sustainable food waste management Improved Analytical Hierarchy Process Fuzzy method Sensitivity analysis

enhancing fault-clearing algorithm for renewable-energy-based distribution systems using artificial neural networks

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Clean energy 2024年第5期8卷 97-116页

作者： Rania G.Mohamed M.A.ebrahim Shady H.e.Abdel Aleem electrical engineering Department Institute of Aviation Engineering and TechnologyGiza12658Egypt electrical engineering Department Faculty of Engineering at ShoubraBenha UniversityCairo11629Egypt

Integrating small and large-scale photovoltaic(PV)solar systems into electrical distribution systems has become mandatory due to increased electricity bills and the concern for limiting greenhouse ***,the reliable and efficient operation of PV-based distribution systems can be confronted by the intermittence and high variability of solar sources and their consequential *** this regard,this article suggests a moderated fault-clearing strategy based on the incremental conductance–maximum power point tracking(IC–MPPT)technique and artificial neural networks(ANNs)to enhance fault detection,localization,and restoration pro-cesses in PV-based distribution *** proposed strategy leverages IC–MPPT to ensure optimal power generation from the PV solar system,even in the presence of *** tracking the maximum power point,the algorithm maintains the performance of the system and mitigates against the impact of faults on the output ***,an ANN is employed to improve fault detec-tion and localization *** developed ANN-based moderated fault-clearing strategy is trained using historical data and fault scenarios,enabling it to recognize fault patterns and make informed decisions through extensive simulations and comparisons with traditional fault-clearing *** accomplish this study,benchmarks in PV-based distribution systems are constructed and em-ployed using the MATLAB®/Simulink®software ***,to validate the efficacy of the developed ANN-based moderated fault-clearing strategy,a real case study of a 1-MW PV-based distribution system in an industrial field located in Giza governorate,egypt,is tested and *** obtained results demonstrate the effectiveness of the IC–MPPT and ANN-based moderated fault-clearing strategy in achieving faster fault detection,precise fault localization,and efficient restoration in PV solar-based dis-tribution systems while preserving maximum power extraction under small and larg

关键词： photovoltaic solar systems fault-clearing algorithm incremental conductance renewable energy artificial neural network maximum power point tracking