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Unearthing old rice germplasm,illuminating a new way to improvement

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Journal of Integrative Plant Biology 2024年第6期66卷 1041-1043页

作者： Xiaoming Zheng Ramaiah Venuprasad Ajay kohli International Rice Research Institute Metro ManilaPhilippines

We are on the cusp of a new era,with the global pop-ulation surpassing 8 billion,and over half relying on riceas their staple food(Sasaki and Burr,2000).Despite thisgrowing demand,rice yield per unit has seemingly plateauedfor many years(Song et al.,2022).This stagnation raisesserious concerns about future global food security,especiallyconsidering the shrinking arable land in many countries.

关键词： germplasm plateau spite

Air Pollution and Epigenetics

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Journal of Environmental Protection 2013年第8期4卷 114-122页

作者： Aleena Syed Kinjal Hew arunima kohli Greg Knowlton Kari C. Nadeau Department of Pediatrics Division of Immunology Allergy and Rheumatology Stanford University School of Medicine Stanford USA.

Air pollution is a global problem with far-reaching environmental impacts. Exposure has been linked to a number of different adverse health effects. Understanding the impact of ambient air pollution is complicated given the diversity of both the pollutants involved as well as the complexity of associated diseases. While we see a positive correlation between levels of exposure and health issues, the mechanisms of pathogenesis are still under investigation. The study of epigenetic regulation as it relates to disease is emerging as an exciting new way to interpret the possible effects of ambient air pollution on DNA. In this review we provide an overview of epigenetic modifications as well as an analysis of how epigenetic mechanisms are involved in the adverse effects associated with the most common components of ambient air pollution.

关键词： Air Pollution Epigenetics DNA Methylation Histone Acetylation microRNA PAH DEP Ozone

pyGWBSE:a high throughput workflow package for GW-BSE calculations

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npj Computational Materials 2023年第1期9卷 2127-2136页

作者： Tathagata Biswas arunima K.Singh Department of Physics Arizona State UniversityTempe 85287 AZUSA

We develop an open-source python workflow package,pyGWBSE to perform automated first-principles calculations within the GW-BSE(Bethe-Salpeter)***-BSE is a many body perturbation theory based approach to explore the quasiparticle(QP)and excitonic properties of *** approximation accurately predicts bandgaps of materials by overcoming the bandgap underestimation issue of the more widely used density functional theory(DFT).BSE formalism produces absorption spectra directly comparable with experimental *** package achieves complete automation of the entire multi-step GW-BSE computation,including the convergence tests of several parameters that are crucial for the accuracy of these *** is integrated with Wannier90,to generate QP bandstructures,interpolated using the maximally-localized wannier *** also enables the automated creation of databases of metadata and data,including QP and excitonic properties,which can be extremely useful for future material discovery studies in the field of ultra-wide bandgap semiconductors,electronics,photovoltaics,and photocatalysis.

关键词： automated python enable

Reference tracking and transient response shaping of uncertain quasi one-sided Lipschitz nonlinear systems

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Journal of Control and Decision 2022年第2期9卷 165-174页

作者： arunima Mukherjee Aparajita Sengupta Indian Institute of Engineering Sciences and Technology ShibpurHowrahIndia

This work addresses the reference tracking problem for uncertain systems with quasi one-sided Lipschitz *** uncertainty is assumed to be of a norm bound parametric ***,transient response shaping using the concept of‘return time’is also *** controller design relies on the solution of Linear Matrix Inequalities(LMIs)and hence is compu-tationally *** proposed control law is linear in states,and thus the implementation is often *** illustrate the capability and simplicity of the proposed theory,three design examples are included.

关键词： Reference tracking norm bound parametric uncertainty return time linear matrix inequalities quasi one-sided Lipschitz nonlinearity

Circulating microRNA expression and nonalcoholic fatty liver disease in adolescents with severe obesity

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World Journal of Gastroenterology 2024年第4期30卷 332-345页

作者： Yi-Jie Li Brittney O Baumert Nikos Stratakis Jesse A Goodrich Hao-Tian Wu Jing-Xuan He Yin-Qi Zhao Max T Aung Hong-Xu Wang Sandrah P Eckel Douglas I Walker Damaskini Valvi Michele A La Merrill Justin R Ryder Thomas H Inge Todd Jenkins Stephanie Sisley Rohit kohli Stavra A Xanthakos Andrea A Baccarelli Rob McConnell David V Conti Lida Chatzi Department of Population and Public Health Sciences Keck School of MedicineUniversity of Southern CaliforniaLos AngelesCA 90032United States Barcelona Institute of Global Health Barcelona Institute of Global HealthBarcelona 08036Spain Department of Environmental Health Sciences Mailman School of Public HealthColumbia UniversityNew YorkNY 10032United States Gangarosa Department of Environmental Health Rollins School of Public HealthEmory UniversityAtlantaGA 30329United States Department of Environmental Medicine and Public Health Icahn School of Medicine at Mount SinaiNew YorkNY 10029United States Department of Environmental Toxicology University of CaliforniaDavisCA 95616United States Department of Surgery Lurie Children’s Hospital of ChicagoChicagoIL 60611United States Northwestern University Feinberg School of Medicine Northwestern UniversityChicagoIL 60611United States Division of Biostatistics and Epidemiology Cincinnati Children's Hospital Medical CenterCincinnatiOH 45229United States Department of Pediatrics University of Cincinnati College of MedicineCincinnatiOH 45229United States Department of Pediatrics Children’s Nutrition Research Center USDA/ARSBaylor College of MedicineHoustonTX 77030United States Department of Gastroenterology Children’s Hospital Los AngelesLos AngelesCA 90027United States Division of Gastroenterology Hepatology and NutritionCincinnati Children's Hospital Medical CenterCincinnatiOH 45229United States

BACKGROUND Nonalcoholic fatty liver disease(NAFLD)is one of the most common chronic liver diseases in children and *** ranges in severity from isolated hepatic steatosis to nonalcoholic steatohepatitis(NASH),wherein hepatocellular inflammation and/or fibrosis coexist with *** microRNA(miRNA)levels have been suggested to be altered in NAFLD,but the extent to which miRNA are related to NAFLD features remains *** analysis tested the hypothesis that plasma miRNAs are significantly associated with histological features of NAFLD in *** To investigate the relationship between plasma miRNA expression and NAFLD features among adolescents with *** This study included 81 adolescents diagnosed with NAFLD and 54 adolescents without NAFLD from the Teen-Longitudinal Assessment of Bariatric Surgery ***-operative core liver biopsies were collected from participants and used to characterize histological features of *** samples were collected during surgery for miRNA profiling.A total of 843 plasma miRNAs were profiled using the HTG EdgeSeq *** examined associations of plasma miRNAs and NAFLD features using logistic regression after adjusting for age,sex,race,and other key *** Pathways Analysis was used to identify biological functions of miRNAs that were associated with multiple histological features of *** We identified 16 upregulated plasma miRNAs,including miR-193a-5p and miR-193b-5p,and 22 downregulated plasma miRNAs,including miR-1282 and miR-6734-5p,in adolescents with ***,52,16,15,and 9 plasma miRNAs were associated with NASH,fibrosis,ballooning degeneration,and lobular inflammation,***,16 miRNAs were associated with two or more histological features of *** those miRNAs,miR-411-5p was downregulated in NASH,ballooning,and fibrosis,while miR-122-5p,miR-1343-5p,miR-193a-5p,miR-193b-5p,and miR-7845-5p were consistently and posi

关键词： MicroRNA Nonalcoholic fatty liver disease Non-alcoholic steatohepatitis Liver fibrosis Lobular inflammation Ballooning degeneration

Global wild rice germplasm resources conservation alliance:World Wild-Rice Wiring

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Molecular Plant 2024年第4期17卷 516-518页

作者： Xiaoming Zheng Disna Ratnasekera Jiayu Fan Robert J.Henry Beng-Kah Song Kenneth M.Olsen Bal Krishna Joshi Maria Celeste N.Banaticla-Hilario Tonapha Pusadee Adane Getachew Melaku Yeyinou Laura Estelle Loko Koukham Vilayheuang Gavers K.Oppong Samuel Aduse Poku Peterson W.Wambugu Song Ge Aldo Merotto Junior Ohn Mar Aung Ramaiah Venuprasad Ajay kohli Wenbin Zhou Qian Qian National Key Facility for Crop Gene Resources and Genetic Improvement Institute of Crop SciencesChinese Academy of Agricultural SciencesBeijing 100081China Sanya National Research Institute of Breeding in Hainan Chinese Academy of Agricultural SciencesBeijing 100081China International Rice Research Institute DAPO Box 7777Metro Manila 4031Philippines Department of Agricultural Biology Faculty of AgricultureUniversity of RuhunaMatara 81000Sri Lanka Yazhouwan National Laboratory No.8 Huanjin RoadYazhou DistrictSanya CityHainan Province 572024China Hainan University Haikou 570228China ARC Centre of Excellence for Plant Success in Nature and Agriculture University of QueenslandBrisbaneQLD4072Australia School of Science Monash University Malaysia47500 Bandar SunwaySelangor 47500Malaysia Department of Biology Washington University in St.LouisSt.LouisMO 63130-4899USA National Agriculture Genetic Resources Center(Genebank) KhumaltarPO Box 3055KathmanduNepal Plant Biology Division Insttute of Biological SciencesUniversity of the Pilippines Los BanosLos BanosLaguna 4031Philippines Division of Agronomy Department of Plant and Soil SciencesFaculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Bio and Emerging Technology Institute Addis Ababa 1165Ethiopia National University of Sciences TechnologiesEngineering and Mathematics(UNSTIM)Dassa-ZouméBP 14Benin National Genebank Rice and Cash Crops Research CenterNAFRIVientiane 0605Lao PDR Plant Sciences and the Bioeconomy Rothamsted ResearchHarpenden AL52JQUK UK Future Food Beacon of Excellence and School of Biosciences and University of Nottingham Nottingham LE125RDUK Department of Plant and Environmental Biology University of GhanaAccraGhana Kenya Agricultural and Livestock Research Organization Genetic Resources Research InstituteNairobi 00200Kenya Institute of Botany Chinese Academy of SciencesBeijing 100093China Federal University of Rio Grande do Sul UFRGSPorto Alegre 91501-970RSBrazil Department of Agricultur

Wild relatives of crop are key genetic resources serving as diversity reservoirs for crop improvement under changing ***(Oryza sativa)is one of the most important crops in the world,providing staple food for half of the world's *** rice is thus a critical germplasm resource for sustained global food security,ensuring high production yields,improved quality,and stress resistance in the face of climate *** rice is closely related to domesticated rice and has a rich genetic diversity and exceptional adaptability to extreme *** has played a pivotal role in the history of rice hybridization and has become a key resource for rice breeding *** identification of wild-type cytoplasmic male sterility resources paved the way for the achievement of the“three lines”goal in hybrid rice,leading to a significant increase in rice *** addition,the use of resistance alleles found in wild rice is making rice production more resilient to losses caused by environmental ***,wild rice germplasm resources are threatened due to habitat destruction and other anthropogenic *** the same time,the lack of centralized distribution of wild rice has hampered the sharing of basic information on wild rice resources and the utilization and conservation of wild rice in each country,as well as collaboration among scientists.

关键词： germplasm breeding crops

A deep learning based misbehavior classification scheme for intrusion detection in cooperative intelligent transportation systems

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Digital Communications and Networks 2023年第5期9卷 1113-1122页

作者： Tejasvi Alladi Varun kohli Vinay Chamola F.Richard Yu Department of Computer Science and Information Systems BITS-PilaniPilani Campus333031India Department of Electrical and Electronics Engineering&APPCAIR BITS-PilaniPilani Campus333031India Department of Systems and Computer Engineering Carleton UniversityOttawaONK1S 5B6Canada

With the rise of the Internet of Vehicles(IoV)and the number of connected vehicles increasing on the roads,Cooperative Intelligent Transportation Systems(C-ITSs)have become an important area of *** the number of Vehicle to Vehicle(V2V)and Vehicle to Interface(V2I)communication links increases,the amount of data received and processed in the network also *** addition,networking interfaces need to be made more secure for which existing cryptography-based security schemes may not be ***,there is a need to augment them with intelligent network intrusion detection *** machine learning-based intrusion detection and anomaly detection techniques for vehicular networks have been proposed in recent ***,given the expected large network size,there is a necessity for extensive data processing for use in such anomaly detection *** learning solutions are lucrative options as they remove the necessity for feature ***,with the amount of vehicular network traffic increasing at an unprecedented rate in the C-ITS scenario,the need for deep learning-based techniques is all the more *** work presents three deep learning-based misbehavior classification schemes for intrusion detection in IoV networks using Long Short Term Memory(LSTM)and Convolutional Neural Networks(CNNs).The proposed Deep Learning Classification Engines(DCLE)comprise of single or multi-step classification done by deep learning models that are deployed on the vehicular edge *** data received by the Road Side Units(RSUs)is pre-processed and forwarded to the edge server for classifications following the three classification schemes proposed in this *** proposed classifiers identify 18 different vehicular behavior types,the F1-scores ranging from 95.58%to 96.75%,much higher than the existing *** running the classifiers on testbeds emulating edge servers,the prediction performance and prediction time comparison of

关键词： Vehicular Ad-hoc Networks(VANETs) Intelligent Transportation Systems(ITS) Artificial Intelligence(AI) Deep Learning Internet of Things(IoT)

An analysis of energy consumption and carbon footprints of cryptocurrencies and possible solutions

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Digital Communications and Networks 2023年第1期9卷 79-89页

作者： Varun kohli Sombuddha Chakravarty Vinay Chamola Kuldip Singh Sangwan Sherali Zeadally Department of Electrical and Computer Engineering Engineering National University of SingaporeSingapore Department of Electrical and Electronics Engineering&APPCAIR BITS-PilaniPilani Campus333031India Department of Mechanical Engineering BITS-PilaniPilani Campus333031India College of Communication and Information University of KentuckyLexingtonKY40506-0224USA

There is an urgent need to control global warming caused by humans to achieve a sustainable ***_(2) levels are rising steadily,and while countries worldwide are actively moving toward the sustainability goals proposed during the Paris Agreement in 2015,we are still a long way to go from achieving a sustainable mode of global *** increased popularity of cryptocurrencies since the introduction of Bitcoin in 2009 has been accompanied by an increasing trend in greenhouse gas emissions and high electrical energy *** energy tracking studies(e.g.,Digiconomist and the Cambridge Bitcoin Energy Consumption Index(CBECI))have estimated energy consumption ranges from 29.96 TWh to 135.12 TWh and 26.41 TWh to 176.98 TWh,respectively for Bitcoin as of July 2021,which are equivalent to the energy consumption of countries such as Sweden and *** latest estimate by Digiconomist on carbon footprints shows a 64.18 MtCO_(2) emission by Bitcoin as of July 2021,close to the emissions by Greece and *** review compiles estimates made by various studies from 2018 to *** compare the energy consumption and carbon footprints of these cryptocurrencies with countries around the world and centralized transaction methods such as *** identify the problems associated with cryptocurrencies and propose solutions that can help reduce their energy consumption and carbon ***,we present case studies on cryptocurrency networks,namely,Ethereum 2.0 and Pi Network,with a discussion on how they can solve some of the challenges we have identified.

关键词： Blockchain Carbon footprint Climate change Cryptocurrency Sustainability

Excitonic effects in absorption spectra of carbon dioxide reduction photocatalysts

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npj Computational Materials 2021年第1期7卷 1752-1761页

作者： Tathagata Biswas arunima K.Singh Department of Physics Arizona State UniversityTempeAZ 85287USA

The formation and disassociation of excitons play a crucial role in any photovoltaic or photocatalytic ***,excitonic effects are seldom considered in materials discovery studies due to the monumental computational cost associated with the examination of these ***,we study the excitonic properties of nearly 50 photocatalysts using state-of-the-art Bethe–Salpeter ***~50 materials were recently recognized as promising photocatalysts for CO_(2) reduction through a data-driven screening of 68,860 ***,we propose three screening criteria based on the optical properties of these materials,taking excitonic effects into account,to further down select six ***,we study the correlation between the exciton binding energies obtained from the Bethe–Salpeter formalism and those obtained from the computationally much lessexpensive Wannier–Mott model for these chemically diverse~50 *** work presents a paradigm towards the inclusion of excitonic effects in future materials discovery for solar-energy harvesting applications.

关键词： materials properties dioxide