Purpose: The use of in vitro cell culture and experimentation is a cornerstone of biomedical research, however, more attention has recently been given to the potential consequences of using such artificial basal media...Purpose: The use of in vitro cell culture and experimentation is a cornerstone of biomedical research, however, more attention has recently been given to the potential consequences of using such artificial basal medias and undefined supplements. As a first step towards better understanding and measuring the impact these systems have on experimental results, we use text mining to capture typical research practices and trends around cell culture.Design/methodology/approach: To measure the scale of in vitro cell culture use, we have analyzed a corpus of 94,695 research articles that appear in biomedical research journals published in ScienceDirect from 2000–2018. Central to our investigation is the observation that studies using cell culture describe conditions using the typical sentence structure of cell line, basal media, and supplemented compounds. Here we tag our corpus with a curated list of basal medias and the Cellosaurus ontology using the Aho-Corasick algorithm. We also processed the corpus with Stanford CoreNLP to find nouns that follow the basal media, in an attempt to identify supplements used. Findings: Interestingly, we find that researchers frequently use DMEM even if a cell line's vendor recommends less concentrated media. We see long-tailed distributions for the usage of media and cell lines, with DMEM and RPMI dominating the media, and HEK293, HEK293 T, and HeLa dominating cell lines used. Research limitations: Our analysis was restricted to documents in ScienceDirect, and our text mining method achieved high recall but low precision and mandated manual inspection of many tokens.Practical implications: Our findings document current cell culture practices in the biomedical research community, which can be used as a resource for future experimental design.Originality/value: No other work has taken a text mining approach to surveying cell culture practices in biomedical research.展开更多
Power system equipment outages are one of the most important factors affecting the reliability and economy of power systems.It is crucial to consider the reliability of the planning problems.In this paper,a generation...Power system equipment outages are one of the most important factors affecting the reliability and economy of power systems.It is crucial to consider the reliability of the planning problems.In this paper,a generation expansion planning(GEP)model is proposed,in which the candidate generating units and energy storage systems(ESSs)are simultaneously planned by minimizing the cost incurred on investment,operation,reserve,and reliability.The reliability cost is computed by multiplying the value of lost load(VOLL)with the expected energy not supplied(EENS),and this model makes a compromise between economy and reliability.Because the computation of EENS makes the major computation impediment of the entire model,a new efficient linear EENS formulation is proposed and applied in a multi-step GEP model.By doing so,the computation efficiency is significantly improved,and the solution accuracy is still desirable.The proposed GEP model is illustrated using the IEEE-RTS system to validate the effectiveness and superiority of the new model.展开更多
ICSR Lab is a cloud-based computational platform that enables researchers to analyze large structured datasets,including data that power Elsevier solutions such as Scopus and PlumX Metrics.It was launched in March 202...ICSR Lab is a cloud-based computational platform that enables researchers to analyze large structured datasets,including data that power Elsevier solutions such as Scopus and PlumX Metrics.It was launched in March 2020 and is available at no cost for scholarly bibliometrics research into themes such as research impact,careers and practices,open science,inclusivity and sustainability.This paper introduces ICSR Lab,describing its key features and some aspects taken into consideration during its inception.展开更多
This review paper critically analyzes the most recent literature(64% published after 2015) on the experimentation and mathematical modeling of latent heat thermal energy storage(LHTES) systems in buildings. Commercial...This review paper critically analyzes the most recent literature(64% published after 2015) on the experimentation and mathematical modeling of latent heat thermal energy storage(LHTES) systems in buildings. Commercial software and in-built codes used for mathematical modeling of LHTES systems are consolidated and reviewed to provide details on the selection of appropriate tools. Insights on software’s computing speed, model simplicity, accuracy(by considering the convective term in the melting process), and application of artificial neural networks are reviewed in detail. Moreover, the overall research status of the experiments conducted on the phase change material-based LHTES systems with different experiment configurations is reviewed. The analysis shows that ANSYS Fluent is the most widely used software for specific heat transfer phenomenon in storage tanks, while self-developed models with simplified terms are evaluated as more flexible and easier to apply. For hybrid systems, self-developed MATLAB, mature parts in ESP-r, TRNSYS, and EnergyPlus are compatible. Further, most of the experimental investigations are conducted on the laboratory scale, providing data for model validation. To provide a clear guidance for the future market application, the scope for future works is presented. With this review, it would be easier to develop a unified, simplified, visual, and accurate simulation platform for the PCM-based thermal energy storage in buildings.展开更多
Over the past five years,Elsevier has focused on implementing FAIR and best practices in data management,from data preservation through reuse.In this paper we describe a series of efforts undertaken in this time to su...Over the past five years,Elsevier has focused on implementing FAIR and best practices in data management,from data preservation through reuse.In this paper we describe a series of efforts undertaken in this time to support proper data management practices.In particular,we discuss our journal data policies and their implementation,the current status and future goals for the research data management platform Mendeley Data,and clear and persistent linkages to individual data sets stored on external data repositories from corresponding published papers through partnership with Scholix.Early analysis of our data policies implementation confirms significant disparities at the subject level regarding data sharing practices,with most uptake within disciplines of Physical Sciences.Future directions at Elsevier include implementing better discoverability of linked data within an article and incorporating research data usage metrics.展开更多
背景近年来,众多研究报导了数百种与焦虑症有关的基因,为系统研究焦虑症的基因网络提供了研究基础。方法从Res Net 11 Mammalian数据库中提取了焦虑症-基因的关系数据,包含592个焦虑症基因。通过基因富集分析、子网络富集分析、网络连...背景近年来,众多研究报导了数百种与焦虑症有关的基因,为系统研究焦虑症的基因网络提供了研究基础。方法从Res Net 11 Mammalian数据库中提取了焦虑症-基因的关系数据,包含592个焦虑症基因。通过基因富集分析、子网络富集分析、网络连通性分析和网络度量分析研究网络属性并选择关键节点。另外,通过采集焦虑症-药物和药物-基因的关系数据,在小分子/药物水平对焦虑症进行病理研究。结果 592中的526个基因富集在100个焦虑症通路(P<1e-15),并显示出较强的基因间相互关联性。综合报导频率,网络中心性和功能多样性的分析,6个基因被推为首选焦虑症基因,包括DRD2、ADORA2A、IL1B、CRH、AVP和CRHR1。此外,538个基因和548个药物强相关,间接支持焦虑症与这些基因之间的关系。结论焦虑症的遗传原因与大量基因构成的遗传网络有关。基因网络以及本研究中提供的文献和量度指标为进一步的生物/遗传学研究奠定了基础。展开更多
文摘Purpose: The use of in vitro cell culture and experimentation is a cornerstone of biomedical research, however, more attention has recently been given to the potential consequences of using such artificial basal medias and undefined supplements. As a first step towards better understanding and measuring the impact these systems have on experimental results, we use text mining to capture typical research practices and trends around cell culture.Design/methodology/approach: To measure the scale of in vitro cell culture use, we have analyzed a corpus of 94,695 research articles that appear in biomedical research journals published in ScienceDirect from 2000–2018. Central to our investigation is the observation that studies using cell culture describe conditions using the typical sentence structure of cell line, basal media, and supplemented compounds. Here we tag our corpus with a curated list of basal medias and the Cellosaurus ontology using the Aho-Corasick algorithm. We also processed the corpus with Stanford CoreNLP to find nouns that follow the basal media, in an attempt to identify supplements used. Findings: Interestingly, we find that researchers frequently use DMEM even if a cell line's vendor recommends less concentrated media. We see long-tailed distributions for the usage of media and cell lines, with DMEM and RPMI dominating the media, and HEK293, HEK293 T, and HeLa dominating cell lines used. Research limitations: Our analysis was restricted to documents in ScienceDirect, and our text mining method achieved high recall but low precision and mandated manual inspection of many tokens.Practical implications: Our findings document current cell culture practices in the biomedical research community, which can be used as a resource for future experimental design.Originality/value: No other work has taken a text mining approach to surveying cell culture practices in biomedical research.
基金supported by project of State Grid Shandong Electric Power Company(52062520000Q)the National Key Research and Development Program of China(2019YFE0118400)。
文摘Power system equipment outages are one of the most important factors affecting the reliability and economy of power systems.It is crucial to consider the reliability of the planning problems.In this paper,a generation expansion planning(GEP)model is proposed,in which the candidate generating units and energy storage systems(ESSs)are simultaneously planned by minimizing the cost incurred on investment,operation,reserve,and reliability.The reliability cost is computed by multiplying the value of lost load(VOLL)with the expected energy not supplied(EENS),and this model makes a compromise between economy and reliability.Because the computation of EENS makes the major computation impediment of the entire model,a new efficient linear EENS formulation is proposed and applied in a multi-step GEP model.By doing so,the computation efficiency is significantly improved,and the solution accuracy is still desirable.The proposed GEP model is illustrated using the IEEE-RTS system to validate the effectiveness and superiority of the new model.
文摘ICSR Lab is a cloud-based computational platform that enables researchers to analyze large structured datasets,including data that power Elsevier solutions such as Scopus and PlumX Metrics.It was launched in March 2020 and is available at no cost for scholarly bibliometrics research into themes such as research impact,careers and practices,open science,inclusivity and sustainability.This paper introduces ICSR Lab,describing its key features and some aspects taken into consideration during its inception.
基金supported by the National Natural Science Foundation of China(NO:51678488)。
文摘This review paper critically analyzes the most recent literature(64% published after 2015) on the experimentation and mathematical modeling of latent heat thermal energy storage(LHTES) systems in buildings. Commercial software and in-built codes used for mathematical modeling of LHTES systems are consolidated and reviewed to provide details on the selection of appropriate tools. Insights on software’s computing speed, model simplicity, accuracy(by considering the convective term in the melting process), and application of artificial neural networks are reviewed in detail. Moreover, the overall research status of the experiments conducted on the phase change material-based LHTES systems with different experiment configurations is reviewed. The analysis shows that ANSYS Fluent is the most widely used software for specific heat transfer phenomenon in storage tanks, while self-developed models with simplified terms are evaluated as more flexible and easier to apply. For hybrid systems, self-developed MATLAB, mature parts in ESP-r, TRNSYS, and EnergyPlus are compatible. Further, most of the experimental investigations are conducted on the laboratory scale, providing data for model validation. To provide a clear guidance for the future market application, the scope for future works is presented. With this review, it would be easier to develop a unified, simplified, visual, and accurate simulation platform for the PCM-based thermal energy storage in buildings.
文摘Over the past five years,Elsevier has focused on implementing FAIR and best practices in data management,from data preservation through reuse.In this paper we describe a series of efforts undertaken in this time to support proper data management practices.In particular,we discuss our journal data policies and their implementation,the current status and future goals for the research data management platform Mendeley Data,and clear and persistent linkages to individual data sets stored on external data repositories from corresponding published papers through partnership with Scholix.Early analysis of our data policies implementation confirms significant disparities at the subject level regarding data sharing practices,with most uptake within disciplines of Physical Sciences.Future directions at Elsevier include implementing better discoverability of linked data within an article and incorporating research data usage metrics.
文摘背景近年来,众多研究报导了数百种与焦虑症有关的基因,为系统研究焦虑症的基因网络提供了研究基础。方法从Res Net 11 Mammalian数据库中提取了焦虑症-基因的关系数据,包含592个焦虑症基因。通过基因富集分析、子网络富集分析、网络连通性分析和网络度量分析研究网络属性并选择关键节点。另外,通过采集焦虑症-药物和药物-基因的关系数据,在小分子/药物水平对焦虑症进行病理研究。结果 592中的526个基因富集在100个焦虑症通路(P<1e-15),并显示出较强的基因间相互关联性。综合报导频率,网络中心性和功能多样性的分析,6个基因被推为首选焦虑症基因,包括DRD2、ADORA2A、IL1B、CRH、AVP和CRHR1。此外,538个基因和548个药物强相关,间接支持焦虑症与这些基因之间的关系。结论焦虑症的遗传原因与大量基因构成的遗传网络有关。基因网络以及本研究中提供的文献和量度指标为进一步的生物/遗传学研究奠定了基础。
