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Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting

computers, Materials & continua 2024年第3期78卷 3529-3549页

作者： Ying Su morgan c.wang Shuai Liu Department of Statistics and Data Science University of Central FloridaOrlandoFL32816-2370USA School of Mathematics and Statistics Beijing Technology and Business UniversityBeijing100048China

Long-term time series forecasting stands as a crucial research domain within the realm of automated machine learning(AutoML).At present,forecasting,whether rooted in machine learning or statistical learning,typically relies on expert input and necessitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intricate construction of time series *** complexity of these tasks renders complete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these challenges,this article proposes leveraging Long Short-Term Memory,which is the variant of Recurrent Neural Networks,harnessing memory cells and gating mechanisms to facilitate long-term time series ***,forecasting accuracy by particular neural network and traditional models can degrade significantly,when addressing long-term time-series ***,our research demonstrates that this innovative approach outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forecasting long-term univariate time *** is a high-quality and competitive model in time series prediction,and yet it requires significant preprocessing *** multiple accuracy metrics,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indicate its superiority over alternative network architectures,including Fully connected Neural Networks,convolutional Neural Networks,and Nonpooling convolutional Neural *** AutoML approach enables non-professional to attain highly accurate and effective time series forecasting,and can be widely applied to various domains,particularly in business and finance.

关键词： Automated machine learning autoregressive integrated moving average neural networks time series analysis

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Big Data Analytics in E-commerce for the *** china Through Literature Reviewing

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Journal of Systems Science and Information 2021年第1期9卷 16-44页

作者： Weiqing ZHUANG morgan c.wang Ichiro NA KAMOTO Ming JIANG School of Internet Economics and Business Fujian Universily of TechnologyFuzhou 350108China Research center for“One Belt and Road"Economic and Policy Frujian University of TechnologyFiuzhou 350108China college of Science University of Central rloridaFlorida 32525USA School of Internet Econormics and Business Furjian Universily of TechnologyPuzhou 350108China School of Internet Econormics and Business Irujian University of TechnologyPuzhou 350108China

Big data analytics(BDA)in e-commerce,which is an emerging field that started in 2006,deeply affects the development of global e-commerce,especially its layout and performance in the *** *** paper seeks to examine the relative influence of theoretical research of BDA in e-commerce to explain the differences between the *** china by adopting a statistical analysis method on the basis of samples collected from two main literature databases,Web of Science and cNKI,aimed at the *** *** results of this study help clarify doubts regarding the development of china's e-commerce,which exceeds that of the ***,in view of the theoretical comparison of BDA in e-commerce between them.

关键词： big data analytics e-commerce U.S.and china literature review

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Assessing the Impact of catastrophic Electricity Loss on the Food Supply chain

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International Journal of Disaster Risk Science 2024年第4期15卷 481-493页

作者： Simon Blouin Alexander Herwix morgan Rivers Ross J.Tieman David c.Denkenberger Alliance to Feed the Earth in Disasters(ALLFED) LafayetteCO 80026USA cologne Institute for Information Systems University of Cologne50969 CologneGermany Department of Mechanical Engineering University of CanterburyChristchurch 8041New Zealand

The food supply chain's heavy reliance on electricity poses significant vulnerabilities in the event of prolonged and widespread power disruptions. This study introduces a system-dynamics model that integrates five critical infrastructures-electric grid, liquid fossil fuels, Internet, transportation, and human workforce-to evaluate the resilience of food supply chains to major power outages. We validated the model using the 2019 Venezuelan blackouts as a case study, demonstrating its predictive validity. We then explored how more extreme electricity losses would disrupt the supply chain. More specifically, we modeled the impact of a large-scale cyberattack on the US electric grid and a high-altitude electromagnetic pulse(HEMP)event. A cyberattack severely damaging the US electric grid and allowing for recovery within a few weeks or months would lead to substantial drops in food consumption. However, it would likely still be possible to provide adequate calories to everyone, assuming that food is equitably distributed. In contrast, a year-long recovery from a HEMP event affecting most of the continental United States could precipitate a state of famine. Our analysis represents a first attempt at quantifying how food availability progressively worsens as power outages extend over time. Our open-source model is made publicly available, and we encourage its application to other catastrophic scenarios beyond those specifically considered in this work(for example, extreme solar storms, high-lethality pandemics).

关键词： cyberattack Electricity Food supply chains Global catastrophic risk High-altitude electromagnetic pulse System dynamics

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Archaeological records of Dadiwan in the past 60 ka and the origin of millet agriculture

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chinese Science Bulletin 2010年第16期55卷 1636-1642页

作者： ZHANG DongJu cHEN FaHu BETTINGER R L BARTON L JI DuXue morgan c.wang Hui cHENG XiaoZhong DONG GuangHui GUILDERSON T P ZHAO Hui Key Laboratory of West china's Environmental System (MOE) Lanzhou University Lanzhou 730000 China Department of Anthropology University of California Davis CA 95616 USA Department of Sociology Social Work and Anthropology Utah State University Logan UT 84322 USA Gansu Province Institute of cultural Relics and Archaeology Lanzhou 730000 China Preservation Institute ofDadiwan Qin'an 741600 China center for Accelerator Mass Spectrometry Lawrence Liverrnore National Laboratory Livermore CA 94550 USA Key Laboratory of Desert and Desertification Cold and Arid Regions Environmental and Engineering Research Institute Chinese Academy of Sciences Lanzhou 730000 China

This paper reports the recent excavation of Unit Dadiwan06 at the Dadiwan site in Qin’an county, Gansu.A 65 ka chronological framework is established for Dadiwan06 on the basis of absolute dating (AMS 14c and OSL), stratigraphy, climate change events and *** distributions reveal patterns of human behavioral variation and adaptation over the past 60 ka, from primitive hunting and gathering to advanced hunting and gathering, to primitive Neolithic agriculture, and finally to advanced Neolithic agriculture.

关键词：原始农业考古学大地新石器时代起源小米年代框架气候变化

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The earliest evidence for a microblade adaptation in the remote,high altitude regions of the Tibetan Plateau

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Science china Earth Sciences 2024年第5期67卷 1561-1573页

作者： Yingshuai JIN Xiaoling ZHANG Shejiang wang Junyi GE Wei HE Wa DA Yunyao TAN Ziyi YANG christopher morgan Xing GAO Institute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of SciencesBeijing 100044China University of the chinese Academy of Sciences Beijing 100049China cultural Relics conservation Institute of the Xizang Autonomous Region Lhasa 850000China Nagqu culture and Tourism Bureau Nagqu 852000China University of Nevada Reno 89557USA

Microblade assemblages are among the most common prehistoric archaeological materials found on the Tibetan Plateau(TP)and are thought to indicate large scale migration to and settlement of the *** microblade sites,however,have been systematically excavated,especially in the remotest,highest-elevation regions of the *** timing of the large-scale arrival,spread,and permanent settlement of people on the TP therefore remains *** this paper,we report on a recently excavated site,Locality 3 of the Nwya Devu Site(ND3),located at 4600 meters above sea level(masl),near the shore of Ngoin Lake,on the interior *** analyses reveal a fairly typical microblade technological orientation and two types of microblade cores:wedge-shaped and semi-conical,which are similar to those found throughout North *** Optically Stimulated Luminescence(OSL)dating and AMS^(14)c dating,the age of ND3 ranges from 11 to 10 *** date range indicates ND3 is the oldest microblade site yet recorded in the remote,high-elevation regions of the TP and thus provides important information about when and how hunter-gatherers using microblades began exploiting the higher altitudes of the *** together,studies at ND3 and throughout the TP suggest that a microblade adaptation is associated with the first prolonged human occupation of the plateau and that microblades played a significant role in mediating the risks and facilitating the mobility necessary to permanently inhabit the TP.

关键词： The interior of Tibetan Plateau Nwya Devu locality 3 Microblade Early Holocene High altitude adaption

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IOS-DaaS运作模式的理论综述与建构

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系统科学与数学 2021年第3期41卷 747-767页

作者：庄伟卿 wang morgan.c. 谢云萍福建工程学院互联网经贸学院福州350118 福建工程学院“一带一路”经济与政策研究中心福州350118 中佛罗里达大学统计系奥兰多32816 福建工程学院交通运输学院福州350118

"中国制造2025"加速了产业的技术和效益升级,激发了关联产业链的深度融合.组织际信息系统数据即服务(IOS-DaaS)的提出,致力于解决产业链数据资源的配置问题,是产业链升级和深度融合的重要体现,也是产业链部署创新链的举措.文章系统地回... 详细信息

"中国制造2025"加速了产业的技术和效益升级,激发了关联产业链的深度融合.组织际信息系统数据即服务(IOS-DaaS)的提出,致力于解决产业链数据资源的配置问题,是产业链升级和深度融合的重要体现,也是产业链部署创新链的举措.文章系统地回顾了IOS运作框架的相关理论基础及存在的问题;归纳总结IOS-DaaS运作模式的内容体系:IOS-DaaS资源体系、逻辑框架、运作方法、定价规则等;构建IOS-DaaS交易定价模型并仿真模拟.研究结果认为开展数字交易与定价,激活数字交易市场,应建立更加宽松的数字经济环境.对IOS-DaaS运作模式等基础理论问题的研究与建构,有助于发展IOS运作理论,解释了创新链布局产业链的动力来源,为企业探索IOS盈利创新、更好地实施"互联网+"提供思路.

关键词：组织际信息系统数据即服务运作模式定价规则文献综述

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Microbial community characteristics in a Degraded Wetland of the Yellow River Delta

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Pedosphere 2010年第4期20卷 466-478页

作者： wang Zhen-Yu XIN Yuan-Zheng GAO Dong-Mei LI Feng-Min J. morgan XING Bao-Shan college of Environmental Science and Engineering Ocean University of China Qingdao 266100 （China） Department of Plant Soil and Insect Sciences University of Massachusetts Amherst MA 01003 （USA）

Five different sites with a soluble salt gradient of 3.0-17.7 g kg^-1 dry soil from the coast to the inland were selected, and the microbial population size, activity and diversity in the rhizospheres of five common plant species and the adjacent bulk soils （non-rhizosphere） were compared in a degraded wetland of the Yellow River Delta, Shandong Province, china to study the effects of soil environment （salinity, seasonality, depth, and rhizosphere） on microbial communities and the wetland＇s ecological function, thus providing basic data for the bioremediation of degraded wetlands. There was a significant negative linear relationship between the salinity and the total number of microorganisms, overall microbial activity, or culturable microbial diversity. Salinity adversely affected the microbial community, and higher salinity levels resulted in smaller and less active microbial communities. Seasonal changes were observed in microbial activity but did not occur in the size and diversity. The microbial size, activity and diversity decreased with increasing soil depth. The size, activity and diversity of culturable microorganisms increased in the rhizospheres. All rhizospheres had positive effects on the microbial communities, and common seepweed had the highest rhizosphere effect. Three halophilic bacteria （Pseudomonas mendocina, Burkholderia glumae, and Acinetobacter johnsonii） were separated through BIOLOG identification, and common seepweed could be recommended for bioremediation of degraded wetlands in the Yellow River Delta.

关键词： microbial activity microbial diversity rhizosphere salinity soil microorganisms

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Rationale for the potential use of mesenchymal stromal cells in liver transplantation

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World Journal of Gastroenterology 2014年第44期20卷 16418-16432页

作者： morgan Vandermeulen céline Grégoire Alexandra Briquet chantal Lechanteur Yves Beguin Olivier Detry Department of Abdominal Surgery and Transplantation CHU Liege University of Liege Department of Hematology CHU Liege University of Liege Laboratory of cell and Gene Therapy CHU Liege University of Liege

Mesenchymal stromal cells (MScs) are multipotent and self-renewing cells that reside essentially in the bone marrow as a non-hematopoietic cell population, but may also be isolated from the connective tissues of most organs. MScs represent a heterogeneous population of adult, fibroblast-like cells characterized by their ability to differentiate into tissues of mesodermal lineages including adipocytes, chondrocytes and osteocytes. For several years now, MScs have been evaluated for their in vivo and in vitro immunomodulatory and ‘tissue reconstruction’ properties, which could make them interesting in various clinical settings, and particularly in organ transplantation. This paper aims to review current knowledge on the properties of MScs and their use in pre-clinical and clinical studies in solid organ transplantation, and particularly in the field of liver transplantation. The first available clinical data seem to show that MScs are safe to use, at least in the medium-term, but more time is needed to evaluate the potential adverse effects of long-term use. Many issues must be resolved on the correct use of MScs. Intensive in vitro and pre-clinical research are the keys to a better understanding of the way that MScs act, and to eventually lead to clinical success.

关键词： Mesenchymal stem cells Organ transplantation complication Immunosuppression Tolerance

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The influence of metabolic disorders on adaptive immunity

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cellular & Molecular Immunology 2024年第10期21卷 1109-1119页

作者： Thomas J.c.collins Pooranee K.morgan Kevin Man Graeme I.Lancaster Andrew J.Murphy Division of Immunometabolism Baker Heart and Diabetes InstituteMelbourneVIC3004Australia Department of Immunology Monash UniversityMelbourneVIC3004Australia Peter Doherty Institute for Infection and Immunity MelbourneVIC3000Australia Department of Microbiology and Immunology University of MelbourneParkvilleVIC3052Australia

The immune system plays a crucial role in protecting the body from invading pathogens and maintaining tissue *** homoeostatic lipid metabolism is an important aspect of efficient immune cell function and when disrupted immune cell function is *** are numerous metabolic diseases whereby systemic lipid metabolism and cellular function is *** the context of metabolic disorders,chronic inflammation is suggested to be a major contributor to disease progression.A major contributor to tissue dysfunction in metabolic disease is ectopic lipid deposition,which is generally caused by diet and genetic ***,we propose the idea,that similar to tissue and organ damage in metabolic disorders,excessive accumulation of lipid in immune cells promotes a dysfunctional immune system(beyond the classical foam cell)and contributes to disease ***,we review the evidence that lipid accumulation through diet can modulate the production and function of immune cells by altering cellular lipid *** can impact immune cell signalling,activation,migration,and death,ultimately affecting key aspects of the immune system such as neutralising pathogens,antigen presentation,effector cell activation and resolving inflammation.

关键词： Immunity Metabolic Disorders Lipid Metabolism cell Metabolism Immunometabolism cancer

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Bacillus amyloliquefaciens cEcT 5940 improves performance and gut function in broilers fed different levels of protein and/or under necrotic enteritis challenge

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Animal Nutrition 2021年第1期7卷 185-197页

作者： Kosar Gharib-Naseri Juliano c.P.Dorigam Kiran Doranalli Natalie morgan Robert A.Swick Mingan choct Shu-Biao Wu School of Environmental and Rural Science University of New EnglandArmidaleNSW 2351Australia Evonik Nutrition&care GmbH Rodenbacher Chaussee 463457 Hanau-WolfgangGermany University of New England Armidale 2351Australia

Two studies were conducted to investigate the effect of Bacillus amyloliquefaciens cEcr 5940(BA)as a probiotic on growth performance,amino acid digestibility and bacteria population in broiler chickens under a subclinical necrotic enteritis(NE)challenge and/or fed diets with different levels of crude protein(cP).Both studies consisted of a 2×2 factorial arrangement of treatments with 480 Ross 308 mix-sexed broiler *** study 1,treatments included 1)NE challenge(+/),and 2)BA(1.0×106 cFU/g of feed)supplementation(+/-).In study 2,all birds were under NE challenge,and treatments were 1)cP level(Standard/Reduced[2%less than standard])and 2)BA(1.0×106 cFU/g of feed)supplementation(+/-).After inducing NE infection,blood samples were taken on d 16 for uric acid evaluation,and cecal samples were collected for bacterial *** both studies,ileal digesta was collected on d 35 for nutrient digestibility *** study 1,the NE challenge reduced body weight gain(BWG),supressed feed conversion ratio(FcR)and serum uric acid levels(Pcreased BWG(Pced FcR(P=0.043)across dietary treatments,regardless of ***(P=0.030)and Ruminococcus(P=0.029)genomic DNA copy numbers and concentration of butyrate(P=0.017)were higher in birds fed the diets supplemented with *** study 2,reduced protein(RcP)diets decreased BWG(P=0.010)and uric acid levels in serum(PcR(P=0.005)and increased Ruminococcus numbers(P=0.018)and butyrate concentration(P=0.033)in the ceca,regardless of dietary cP ***,addition of BA reduced clostridium perfringens numbers only in birds fed with RcP diets(P=0.039).At d 35,BA sup-plemented diets showed higher apparent ileal digestibility of cystine(P=0.013),valine(P=0.020),and lysine(P=0.014).In conclusion,this study suggests positive effects of BA supplementation in broiler diets via modulating gut microflora and improving nutrient upta

关键词： Bacillus amyloliquefaciens Necrotic enteritis Growth performance Reduced protein diet Bacteria population Gut function

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