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Sh2B1 Tunes hippocampal ERK Signaling to Influence Fluid Intelligence in humans and Mice

Research 2024年第3期2023卷 369-389页

作者： Xiujuan Du Yuhua Yan Juehua Yu Tailin Zhu chu-chung huang Lingli Zhang Xingyue Shan Ren Li Yuan Dai hui LV Xiao-Yong Zhang Jianfeng Feng Wei-Guang Li Qiang Luo Fei Li Developmental and Behavioral Pediatric Department Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and Ministry of Education-Shanghai Key Laboratory for Children's Environmental HealthXinhua Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai 200092China Developmental and Behavioral Pediatric Department Shanghai Xinhua Children's HospitalShanghai 200092China National clinical Research center for Aging and Medicine at huashan hospital Institute of Science and Technology for Brain-lnspired IntelligenceMinistry of Education-Key Laboratory of Computational Neuroscience and Brain-lnspired IntelligenceFudan UniversityShanghai 200433China State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers center for Brain Science Institutes of Brain Science and Human Phenom InstituteFudan UniversityShanghai 200032China Shanghai Key Laboratory of Brain Functional Genomics(Ministry of Education) School of Life SciencesEast China Normal UniversityShanghai 200062China Department of Rehabilitation Medicine Huashan HospitalInstitute for Translational Brain ResearchState Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain ScienceFudan UniversityShanghai 200032China center for Experimental Studies and Research The First Affliated Hospital of Kunming Medical UniversityKunming 650032China Shanghai Research center for Brain Science and Brain-lnspired Intelligence Shanghai201210China Institute of cognitive Neuroscience School of Psychology and Cognitive ScienceEast China Normal UniversityShanghai 200062China.

Fluid intelligence is a cognitive domain that encompasses general reasoning, pattern recognition, and problem-solving abilities independent of task-specific experience. Understanding its genetic and neural underpinnings is critical yet challenging for predicting human development, lifelong health, and well-being. One approach to address this challenge is to map the network of correlations between intelligence and other constructs. In the current study, we performed a genome-wide association study using fluid intelligence quotient scores from the UK Biobank to explore the genetic architecture of the associations between obesity risk and fluid intelligence. Our results revealed novel common genetic loci (Sh2B1, TUFM, ATP2A1, and FOXO3) underlying the association between fluid intelligence and body metabolism. Surprisingly, we demonstrated that Sh2B1 variation influenced fluid intelligence independently of its effects on metabolism but partially mediated its association with bilateral hippocampal volume. consistently, selective genetic ablation of Sh2b1 in the mouse hippocampus, particularly in inhibitory neurons, but not in excitatory neurons, significantly impaired working memory, short-term novel object recognition memory, and behavioral flexibility, but not spatial learning and memory, mirroring the human intellectual performance. Single-cell genetic profiling of Sh2B1-regulated molecular pathways revealed that Sh2b1 deletion resulted in aberrantly enhanced extracellular signal-regulated kinase (ERK) signaling, whereas pharmacological inhibition of ERK signaling reversed the associated behavioral impairment. Our cross-species study thus provides unprecedented insight into the role of Sh2B1 in fluid intelligence and has implications for understanding the genetic and neural underpinnings of lifelong mental health and well-being.

关键词： metabolism impaired reversed

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Review Integration of smartphone technology and artificial intelligence for advanced ophthalmic care:A systematic review

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Advances in Ophthalmology Practice and Research 2024年第3期4卷 120-127页

作者： Kai Jin Yingyu Li hongkang Wu Yih chung Tham Victor Koh Yitian Zhao Ryo Kawasaki Andrzej Grzybowski Juan Ye Eye center The Second Affiliated Hospital of Zhejiang University School of MedicineZhejiang Provincial Key Laboratory of OphthalmologyZhejiang Provincial Clinical Research Center for Eye DiseasesZhejiang Provincial Engineering Institute on Eye DiseasesHangzhouChina centre for Innovation and Precision Eye health National University of SingaporeSingapore Department of Ophthalmology National University of SingaporeSingapore Singapore Eye Research Institute Singapore National Eye CentreSingapore Ophthalmology and Visual Science Academic clinical Program Duke-NUS Medical SchoolSingapore cixi Institute of Biomedical Engineering Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Ningbo Eye hospital NingboChina Zhejiang International Scientific and Technological cooperative Base of Biomedical Materials and Technology Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Zhejiang Engineering Research center for Biomedical Materials Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Division of Public health Department of Social MedicineGraduate School of MedicineOsaka UniversityOsakaJapan Artificial Intelligence center for Medical Research and Application Osaka University HospitalOsakaJapan Institute for Research in Ophthalmology Foundation for Ophthalmology DevelopmentPoznanPoland A R T I C L

Background:The convergence of smartphone technology and artificial intelligence(AI)has revolutionized the landscape of ophthalmic care,offering unprecedented opportunities for diagnosis,monitoring,and management of ocular ***,there is a lack of systematic studies on discussing the integration of smart-phone and AI in this *** text:This review includes 52 studies,and explores the integration of smartphones and AI in ophthalmology,delineating its collective impact on screening methodologies,disease detection,telemedicine initiatives,and patient *** collective findings from the curated studies indicate promising performance of the smartphone-based AI screening for various ocular diseases which encompass major retinal diseases,glaucoma,cataract,visual impairment in children and ocular surface ***,the utilization of smartphone-based imaging modalities,coupled with AI algorithms,is able to provide timely,efficient and cost-effective screening for ocular *** modality can also facilitate patient self-monitoring,remote patient monitoring and enhancing accessibility to eye care services,particularly in underserved *** involving data pri-vacy,algorithm validation,regulatory frameworks and issues of trust are still need to be ***,evaluation on real-world implementation is imperative as well,and real-world prospective studies are currently ***:Smartphone ocular imaging merged with AI enables earlier,precise diagnoses,personalized treat-ments,and enhanced service accessibility in eye *** is crucial to navigate ethical and data security challenges while responsibly leveraging these innovations,promising a potential revolution in care access and global eye health equity.

关键词： Artificial intelligence Smartphone imaging Ophthalmology Telemedicine Ocular disease management

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Epidemiological, Diagnostic, Therapeutic, and Prognostic Profile of Non-Tuberculous community-Acquired Purulent Pleurisy in children at the Bouaké University hospital center, 2017-2021

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Advances in Infectious Diseases 2024年第1期14卷 220-232页

作者： Yapo Thomas Aba christian Yao Pacôme Monemo Richard Azagoh-Kouadio Iburaima Akandji Noelle Gonné Jean-Marie Karidioula vincent Achi vincent Kouadio Asse Department of Infectious and Tropical Diseases University Hospital of Bouaké Bouaké Ivory Coast University Alassane Ouattara of Bouake Bouake Ivory Coast Department of Pediatrics University Hospital of Bouaké Bouaké Ivory Coast Department of Bacteriology & Virology University Hospital of Bouake Bouaké Ivory Coast Department of Pediatrics University Hospital of Angré Abidjan Ivory Coast Department of Pneumology University Hospital of Bouake Bouaké Ivory Coast

Introduction: In côte d’Ivoire, there is a scarcity of data on children’s purulent pleurisies. Objective: This study aims to elucidate the epidemiological, diagnostic, therapeutic, and evolutionary facets of non-tuberculous purulent pleurisies in pediatric patients. Methods: A retrospective analysis was conducted using the medical records of children aged one month to fifteen years with purulent pleurisies at Bouaké University hospital center from January 2017 to December 2021. Results: The study identified 124 cases of purulent pleurisies, constituting 18% of lower respiratory tract infections and 0.8% of all hospitalizations. The majority of these cases (69%) were in children between 1 and 24 months of age. Prominent symptoms included dyspnea (85.5%), O2 saturation below 95% in room air (76.6%), respiratory distress (68.5%), cutaneous-mucosal pallor (63.7%), and fever (43.5%). Radiological findings predominantly showed right-sided pleurisy (62.1%). The pleurisy was often extensive (78.2%), accompanied by pneumothorax (37.1%), alveolo-interstitial opacities (8.1% of cases), and abscess formations (1.6%). Pleural fluid cultures were positive in 46.9% of cases, with Staphylococcus aureus (75%, methi-S) identified among 32 bacteria. Initial antibiotic treatment was empirical, favoring oxacillin (53.2%) or amoxicillin-clavulanic acid (53.2%) in dual (42%) or triple therapy (33%) with gentamicin (64.1%) and/or metronidazole (21.8%). Treatments also included pleural drainage (68.5%) or repeated evacuation punctures (33.1%), and blood transfusion (39%). The mortality rate was 18.8%. conclusion: Non-tuberculous purulent pleurisy remains a significant concern in pediatric hospitalizations at the chU of Bouaké, marked by high mortality rates.

关键词： community-Acquired Purulent Pleurisies children Mortality Bouaké

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Prospect Theory Based Individual Irrationality Modelling and Behavior Inducement in Pandemic control

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computer Modeling in Engineering & Sciences 2024年第7期140卷 139-170页

作者： Wenxiang Dong h.Vicky Zhao Department of Automation BNRistTsinghua UniversityBeijing100084China

Understanding and modeling individuals’behaviors during epidemics is crucial for effective epidemic ***,existing research ignores the impact of users’irrationality on decision-making in the ***,existing disease control methods often assume users’full compliance with measures like mandatory isolation,which does not align with the actual *** address these issues,this paper proposes a prospect theorybased framework to model users’decision-making process in epidemics and analyzes how irrationality affects individuals’behaviors and epidemic *** to the analysis results,irrationality tends to prompt conservative behaviors when the infection risk is low but encourages risk-seeking behaviors when the risk is ***,this paper proposes a behavior inducement algorithm to guide individuals’behaviors and control the spread of *** and real user tests validate our analysis,and simulation results show that the proposed behavior inducement algorithm can effectively guide individuals’behavior.

关键词： Disease spread behavior model irrationality prospect theory

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Woody plant cell walls:Fundamentals and utilization

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Molecular Plant 2024年第1期17卷 112-140页

作者： Wei Li Ying-chung Jimmy Lin Ying-Lan chen chenguang Zhou Shuang Li Nette De Ridder Dyoni M.Oliveira Lanjun Zhange Baocai Zhang Jack P.Wang changzheng Xu Xiaokang Fu Keming Luo Ai-Min Wu Taku Demura Meng-Zhu Lu Yihua Zhou Laigeng Li Toshiaki Umezawa Wout Boerjan vincent L.chiang State Key Laboratory of Tree Genetics and Breeding Northeast Forestry UniversityHarbin 150040China Department of Life Science National Taiwan UniversityTaipeiTaiwanChina Department of Biotechnology and Bioindustry Sciences College of Bioscience and BiotechnologyNational Cheng Kung UniversityTainanTaiwanChina Department of Plant Biotechnology and Bioinformatics Ghent UniversityTechnologiepark 719052 GhentBelgium VIB center for Plant Systems Biology Technologiepark 719052 GhentBelgium State Key Laboratory of Plant Genomics Insttute of Genetics and Developmental Biology Chinese Academy of SciencesBeijing 100101China University of chinese Academy of Sciences Beijing 100049China Forest Biotechnology Group Department of Forestry and Environmental ResourcesNorth Carolina State UniversityRaleighNC 27695USA chongqing Key Laboratory of Plant Resource conservation and Germplasm Innovation Integrative Science Center of Germplasm CreationSchool of Life SciencesSouthwest UniversityChongqing 400715China Guangdong Key Laboratory for Innovative Developmentand Utilization of Forest Plant Germplasm College of Forestry and Landscape ArchitecturesSouth China Agricultural UniversityGuangzhou510642China center for Digital Green-innovation Nara Institute of Science and TechnologykomaNara 630-0192Japan State Key Laboratory of Subtropical Siviculture College of Forestry and BiotechnologyZhejang A&F UniversityHangzhou 311300China cAS center for Excellence in Molecular Plant Sciences Chinese Academy of Sciences300 Fenglin RoadShanghai 200032China Laboratoryof MetabolicScienceofForest Plants and Microorganisms Rsearch Institute for Sustainable HumanosphereKyoto UniversityUjiKyoto 611-0011 Japan

cell walls in plants,particularly forest trees,are the major carbon sink of the terrestrial *** and biosynthetic features of plant cell walls were revealed early on,focusing mostly on herbaceous model *** developments in genomics,transcriptomics,epigenomics,transgenesis,and associated analytical techniques are enabling novel insights into formation of woody cell ***,we review multilevel regulation of cell wall biosynthesis in forest tree *** highlight current approaches to engineering cell walls as potential feedstock for materials and energy and survey reported field tests of such engineered transgenic *** outline opportunities and challenges in future research to better understand cell type biogenesis for more efficient wood cell wall modification and utilization for biomaterials or for enhanced carbon capture and storage.

关键词： regulation of cell wall formation biosynthesis of cell wall components lignin cellulose hemicellulose cell wall utilization

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Macroalgal deep genomics illuminate multiple paths to aquatic,photosynthetic multicellularity

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Molecular Plant 2024年第5期17卷 747-771页

作者： David R.Nelson Alexandra Mystikou Ashish Jaiswal cecilia Rad-Menendez Michael J.Preston Frederik De Boever Diana c.El Assal Sarah Daakour Michael W.Lomas Jean-claude Twizere David h.Green William c.Ratcliff Kourosh Salehi-Ashtiani Division of Science and Math New York University Abu DhabiAbu DhabiUAE center for Genomics and Systems Biology(cGSB) New York University Abu DhabiAbu DhabiUAE Biotechnology Research center Technology Innovation InstitutePO Box 9639Masdar CityAbu DhabiUAE culture collection of Algae and Protozoa Scottish Association for Marine ScienceObanScotlandUK National center for Marine Algae and Microbiota Bigelow Laboratory for Ocean SciencesEast BoothbayMEUSA Laboratory of Viral Interactomes GIGA InstituteUniversity of LiegeLiegeBelgium School of Biological Sciences Georgia Institute of TechnologyAtlantaGAUSA

Macroalgae are multicellular,aquatic autotrophs that play vital roles in global climate maintenance and have diverse applications in biotechnology and eco-engineering,which are directly linked to their multicellularity ***,their genomic diversity and the evolutionary mechanisms underlying multicellularity in these organisms remain *** this study,we sequenced 110 macroalgal genomes from diverse climates and phyla,and identified key genomic features that distinguish them from their microalgal *** for cell adhesion,extracellular matrix formation,cell polarity,transport,and cell differentiation distinguish macroalgae from microalgae across all three major phyla,constituting conserved and unique gene sets supporting multicellular *** genes show phylum-and climate-specific expansions that may facilitate niche ***,our study reveals genetic determinants of convergent and divergent evolutionary trajectories that have shaped morphological diversity in macroalgae and provides genome-wide frameworks to understand photosynthetic multicellular evolution in aquatic environments.

关键词： macroalgae multicellularity comparative genomics evolution adhesome endogenous viral elements

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DFT investigation of half-metallic ferromagnetic rare earth based spinels Mgho_(2)Z_(4)(Z=S,Se)

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Journal of Rare Earths 2024年第1期42卷 121-128,I0005页

作者： Maiza Zanib Mumtaz Manzoor N.A.Noor M.Waqas Iqbal Mazia Asghar h.h.hegazy A.Laref Department of Physics Riphah International UniversityLahore CampusPakistan Research centre for Advanced Materials Science King Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Department of Physics and Astronomy College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

half-metallic ferromagnetism,mechanical as well as thermoelectric properties for rare earth-based spinels Mgho_(2)Z_(4)(Z=S,Se)were investigated using density functional theory(DFT).Structural optimization was done with Perdew-Burke-Ehrenzorf(PBE)sol-generalized gradient approximation(GGA)to calculate the lattice constant of both spinels comparable to experimental *** addition,Born stability criteria and negative formation energy show that our studied spinels are also structurally and dynamically stable in the cubic *** ferromagnetic(FM)state stability,we also calculated the energy differences among FM,antiferromagnetic(AFM),and non-magnetic(NM)***,curie temperatures of ferromagnetic phases were also *** used Trans-Blaha improved BeckeJohnson(TB-mBJ)potential functional for electronics as well as magnetic characteristics,which lead to the consistent explanation of half-metallic ferromagnetism,representing the whole band-occupancy in material with exact detail of density of states(DOS).The stable FM state was examined in spinels due to the exchange splitting of ho cation consisting of p-d hybridizations compatible with the result achieved for electronics band structure and ***,spin magnetic moment was explained in terms of anion,cation,and sharing charge on studied *** addition,the calculated thermoelectric properties clearly show that operation range of these systems may be utilized by future experimental works for identifying the potential applications of these systems.

关键词： ho-based spinels DFT simulations Mechanical parameters Electronic properties hM ferromagnetism Figure of merit

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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

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Thermal pyrolysis conversion of methane to hydrogen(h_(2)):A review on process parameters,reaction kinetics and techno-economic analysis

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chinese chemical Letters 2024年第8期35卷 62-73页

作者： Yi herng chan Zhe Phak chan Serene Sow Mun Lock chung Loong Yiin Shin Ying Foong Mee Kee Wong Muhammad Anwar Ishak Ven chian Quek Shengbo Ge Su Shiung Lam PETRONAS Research Sdn.Bhd.(PRSB) Kawasan Institusi BangiLot 3288&3289Off Jalan Ayer ItamKajang 43000Malaysia PETRONAS carbon capture&Storage(ccS)Enterprise PETRONAS Twin TowersKuala Lumpur City CentreKuala Lumpur 50088Malaysia cO_(2)Research center(cO2RES) Department of Chemical EngineeringUniversiti Teknologi PETRONASSeri Iskandar 32610Malaysia Department of chemical Engineering and Energy Sustainability Faculty of EngineeringUniversiti Malaysia Sarawak(UNIMAS)Kota Samarahan 94300Malaysia Institute of Sustainable and Renewable Energy(ISuRE) Universiti Malaysia Sarawak(UNIMAS)Kota Samarahan 94300Malaysia higher Institution centre of Excellence(hIcoE) Institute of Tropical Aquaculture and Fisheries(AKUATROP)Universiti Malaysia TerengganuKuala Nerus 21030Malaysia co-Innovation center of Efficient Processing and Utilization of Forest Resources College of Materials Science and EngineeringNanjing Forestry UniversityNanjing 210037China center for Global health Research(cGhR) Saveetha Medical CollegeSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityChennai 602105India

hydrogen(h_(2))is a promising renewable energy which finds wide applications as the world gears toward low-carbon ***,current h_(2) production via steam methane reforming of natural gas or gasification of coal are laden with high cO_(2) ***,methane(ch_(4))pyrolysis has emerged as a potential technology to generate low-carbon h_(2) and solid *** this review,the current state-of-art and recent progress of h_(2) production from ch_(4) pyrolysis are reviewed in *** such as funda-mental mechanism and chemistry involved,effect of process parameters on the conversion efficiency and reaction kinetics for various reaction media and catalysts are elucidated and critically ***-ature,among other factors,plays the most critical influence on the methane pyrolysis *** metal/salt could lower the operating temperature of methane pyrolysis tohereas plasma technology usually operates in the regime of>1000℃.Based on the reaction kinetics,metal-based cata-lysts were more efficient in lowering the activation energy of the reaction to 29.5-88 kJ/mol from that of uncatalyzed reaction(147-420.7 kJ/mol).Besides,the current techno-economic performance of the pro-cess reveals that the levelized cost of h_(2) is directly influenced by the sales price of carbon(by-product)generated,which could offset the overall ***,the main challenges of reactor design for efficient product separation and retrieval,as well as catalyst deactivation/poisoning need to be debottlenecked.

关键词： Pyrolysis Methane hydrogen Reaction kinetics Techno-economic analysis

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Linear OPF-based Robust Dynamic Operating Envelopes with Uncertainties in Unbalanced Distribution Networks

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Journal of Modern Power Systems and clean Energy 2024年第4期12卷 1320-1326页

作者： Bin Liu Julio h.Braslavsky Nariman Mahdavi Energy centre Commonwealth Scientific and Industrial Research Organisation(CSIRO)Newcastle 2300Australia the Network Planning Division TransgridSydney 2000Australia the Energy Systems Program Energy CentreCommonwealth Scientific and Industrial Research Organisation(CSIRO)Newcastle 2300Australia

Dynamic operating envelopes(DOEs),as key enablers to facilitate distributed energy resource(DER)integration,have attracted increasing attention in the past ***,uncertainties,which may come from load forecasting errors or inaccurate network parameters,have been rarely discussed in DOE calculation,leading to compromised quality of the hosting capacity allocation *** letter studies how to calculate DOEs that are immune to such uncertainties based on a linearised unbalanced three-phase optimal power flow(UTOPF)*** uncertain parameters constrained by norm balls,formulations for calculating robust DOEs(RDOEs)are presented along with discussions on their *** cases,including a 2-bus illustrative network and a representative Australian network,are tested to demonstrate the effectiveness and efficiency of the proposed approach.

关键词： Distributed energy resource(DER) dynamic operating envelope(DOE) feasible region robust optimisation uncertainty modelling unbalanced optimal power flow

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