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R/S Analysis and its Application in the Forecast of Mine Inflows 被引量:14
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作者 YANG Yong-guo YUAN Jian-fei CHEN Suo-zhong 《Journal of China University of Mining and Technology》 EI 2006年第4期425-428,共4页
In this paper, the status quo and modeling principles of R/S analysis of non-linear theory are introduced and reviewed. Given the hydro-geological conditions of the Wutongzhuang coal mine, Hurst exponents of mine infl... In this paper, the status quo and modeling principles of R/S analysis of non-linear theory are introduced and reviewed. Given the hydro-geological conditions of the Wutongzhuang coal mine, Hurst exponents of mine inflow for the main shaft, venti- lating shaft and auxiliary shaft were obtained using R/S analysis, which are 0.772 0, 0.824 7 and 0.905 1 respectively. Since all of the three Hurst exponents are larger than 0.5, it can be concluded that the trend of mine inflow are a long-term as well as persistent problem. Based on the level of duration, the shafts can be listed in decreasing order as the auxiliary shaft, the ventilation shaft and the main shaft, which appears identical with the actual situation of the mine inflow. With R/S analysis, a new method for long-term forecasting of mine inflows is provided. 展开更多
关键词 r/s analysis Wutongzhuang coal mine mine inflow forecasting Hurst exponents
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SleepyFlyR:An R Package for Sleep and Activity Analysis in Drosophila
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作者 MOU Yang PING Yong 《Journal of Shanghai Jiaotong university(Science)》 2025年第4期744-750,共7页
Drosophila melanogaster has been a popular model organism in the study of sleep and circadian rhythm.The Drosophila activity monitoring(DAM)system is one of the many tools developed for investigating sleep behavior in... Drosophila melanogaster has been a popular model organism in the study of sleep and circadian rhythm.The Drosophila activity monitoring(DAM)system is one of the many tools developed for investigating sleep behavior in fruit flies and has been acknowledged by researchers around the world for its simplicity and cost-effectiveness.Based on the simple activity data collected by the DAM system,a wide range of parameters can be generated for sleep and circadian studies.However,current programs that analyze DAM data cover a limited number of metrics and fail to provide individual data for the user to plot graphs and conduct analysis using other software.Therefore,we have developed SleepyFlyR,an R package that:(1)is simple and easy to use with a user-friendly user interface script;(2)provides a comprehensive analysis of sleep and activity parameters;(3)generates double-plotted graphs for sleep and activity patterns;(4)offers visualization of sleep and activity profiles across multiple days or within a single day;(5)calculates the changes of sleep and activity parameters between baseline and experiment;(6)stores both summary data and individual data in files with unique title. 展开更多
关键词 Drosophila melanogaster sLEEP r package Drosophila activity monitoring(DAM)system behavioral analysis
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Bibliometric analysis of research on spinal tuberculosis in last 5 years
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作者 Monalisa Mohanty Mantu Jain +4 位作者 Sujit Kumar Tripathy Manisha Tripathy Preetam Kumar Kar Baijayantimala Mishra Prasanta Raghab Mohapatra 《World Journal of Virology》 2025年第2期180-189,共10页
BACKGROUND Spinal tuberculosis(TB),also known as Pott’s spine,remains a significant global health issue,particularly in regions with a high TB burden.The disease presents complex challenges in diagnosis,management,an... BACKGROUND Spinal tuberculosis(TB),also known as Pott’s spine,remains a significant global health issue,particularly in regions with a high TB burden.The disease presents complex challenges in diagnosis,management,and treatment,prompting a growing interest in research over recent years.The advancements in imaging,diagnostics,and treatment strategies have driven an increased focus on publishing clinical outcomes,review articles,and case series related to spinal TB(STB).AIM To perform a bibliometric analysis of STB research published over the last 5 years(2019-2023)to identify trends in publication volume,contributions by country,and the nature of the research being conducted.METHODS A comprehensive bibliometric analysis was conducted using the PubMed database,focusing on research articles published between 2019 and 2023.Keywords such as“spine tuberculosis,”“spinal TB,”“TB spine,”and“Pott’s spine”were utilized to capture relevant publications.Articles were analyzed based on the type of research(e.g.,case reports,review articles,cohort studies,randomized controlled trials[RCTs]),number of citations,and country of origin based on the corresponding author's details.Further subgroup analysis was performed according to the TB burden in various countries to assess research trends in high-burden regions.RESULTS A total of 528 articles met the inclusion criteria for this bibliometric analysis.The majority of articles were published between 2020 and 2023(440/528;83.3%),while the lowest number was published in 2019(88/528;16.7%).India led the global contributions with 25.8%of the total publications,followed by China(19.9%)and the United States(10.4%).Combined,African countries contributed 6.8%of the research on STB.Regarding the type of articles,case reports and case series dominated the literature(353/528;66.9%),followed by review articles(120/528;22.7%)and cohort studies(45/528;8.5%).Only 1.9%(10/528)of the studies were RCTs.Countries such as the United States,Germany,the United Kingdom,and Japan have pioneered the use of artificial intelligence(AI)in the diagnostic processes for STB,while India,China,South Africa,and other countries have been pivotal in conducting clinical trials and improving clinical management strategies.CONCLUSION This bibliometric analysis revealed a significant increase in STB research over the last 5 years,with India and China being the leading contributors.However,most publications are case reports or case series,with a limited number of RCTs.The results highlighted the need for more high-quality research,especially in terms of RCTs and innovations in diagnostic technologies.Additionally,the application of AI to STB diagnostics shows promise in developed countries,while high-burden countries are focusing on clinical trials and management strategies. 展开更多
关键词 spinal Tuberculosis Pott’s spine research trends Artificial intelligence diagnostics Bibliometric analysis
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A Computational Analysis of the Reception of Can Xue’s Translated Works in the English- Language World Based on BERTopic Model
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作者 HE Tangxikun CHEN Xian 《译苑新谭》 2025年第1期20-36,共17页
Based on BERTopic Model,the paper combines qualitative and quantitative methods to explore the reception of Can Xue’s translated works by analyzing readers’book reviews posted on Goodreads and Lovereading.We first c... Based on BERTopic Model,the paper combines qualitative and quantitative methods to explore the reception of Can Xue’s translated works by analyzing readers’book reviews posted on Goodreads and Lovereading.We first collected book reviews from these two well-known websites by Python.Through topic analysis of these reviews,we identified recurring topics,including details of her translated works and appreciation of their translation quality.Then,employing sentiment and content analysis methods,the paper explored the emotional attitudes and the specific thoughts of readers toward Can Xue and her translated works.The fingdings revealed that,among the 408 reviews,though the reception of Can Xue’s translated works was relatively positive,the current level of attention and recognition remains insufficient.However,based on the research results,the paper can derive valuable insights into the translation and dissemination processes such as adjusting translation and dissemination strategies,so that the global reach of Chinese literature and culture can be better facilitated. 展开更多
关键词 Can Xue’s translated works rECEPTION English-language world BErTopic model computational analysis
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In-home respite care in dementia:An evolutionary concept analysis
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作者 Huiyue Zhang Min Yin +2 位作者 Xue Nan Xin Liu Rujia Zhang 《International Journal of Nursing Sciences》 2025年第4期352-360,共9页
Objective:To clarify the concept of in-home respite care in dementia care and identify changes in the service content over time to help providers and users better understand this sustainable service.Method:A literatur... Objective:To clarify the concept of in-home respite care in dementia care and identify changes in the service content over time to help providers and users better understand this sustainable service.Method:A literature search was conducted through Chinese databases China National Knowledge Infrastructure(CNKI),Wanfang,VIP,and SinoMed,as well as English databases PubMed,the Cochrane Library,Web of Sciences,and Embase.Articles published from January 1980 to December 2024 were identified.Rogers’conceptual analysis of evolution was used for this concept analysis,including six steps:identifying the concept and its context,selecting appropriate databases,determining relevant literature,identifying the concept’s attributes,antecedents,and consequences,choosing a concept exemplar if appropriate,and defininghypotheses and implications for further concept development.Results:Thirty-one articles were included.This conceptual analysis revealed the evolution of in-home respite care service content over time and summarized three key attributes.The antecedents included factors related to people with dementia,family caregivers,and the social environment(aging society,government support).The consequences of in-home respite services include delayed institutional placement and reduced security risk events for people with dementia.For family caregivers,consequences include reduced caregiving stress,improved quality of life,and perceived benefitsfrom rest periods.Conclusion:In-home respite care can be interpreted as family-centered home care that provides temporary relief from family caregivers’responsibilities in caring for people with dementia to reduce caregiver burden.The trend of service specialization and attention on dementia families’needs in service provision are future research focus. 展开更多
关键词 Alzheimers disease Concept analysis DEMENTIA Home nursing In-home respite care respite care
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Meat products consumption and risk for Alzheimer’s dementia and type 2 diabetes:a systematic review and meta-analysis of cohort studies
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作者 Mingyu Li Xiaoyue Yang +6 位作者 Lu Sun Hongwei Xiao Chongxin Liu Chunjiang Zhang Zhenyu Wang Christophe Blecker Dequan Zhang 《Food Science and Human Wellness》 2025年第8期2929-2944,共16页
Alzheimer’s dementia(AD)and type 2 diabetes(T2D)are interrelated global public health problems,and the current epidemics of both AD and T2D are insulin resistance diseases.Thus,AD and T2D may share common risk factor... Alzheimer’s dementia(AD)and type 2 diabetes(T2D)are interrelated global public health problems,and the current epidemics of both AD and T2D are insulin resistance diseases.Thus,AD and T2D may share common risk factors such as an unhealthy diet,lifestyle,and obesity.Meat products is an important part of the diet of consumers worldwide.This systematic review and meta-analysis aims to assess and estimate the effect of meat products consumption on AD and T2D in humans.Web of Science,MEDLINE,PubMed,Cochrane Library,and Embase were searched from January 2012 to April 2024.29 articles reported 32 cohort studies with 1785769 subjects,with 3546 AD cases and 91092 T2D cases that met the inclusion criteria and were included in our analysis.Consumption of various meat products increased the risk of T2D(hazard ratios(HR)=1.19,95%confidence intervals(CI):1.13−1.26,P=0.000;I2=88.5%),consumption of smoked,grilled/roasted and fried meat products was more likely to induce T2D(HR=1.24,95%CI:1.18−1.30,P=0.000;I2=76.1%),but was borderline significant for the risk of AD(HR=1.11,95%CI:0.98−1.25,P=0.094;I2=58.8%),with consumption of mainly livestock and poultry products increasing the risk(HR=1.21,95%CI:1.03−1.42,P=0.017;I2=66.8%).The association between meat products consumption and AD risk was influenced by meat type and sample size,while the risk of T2D was influenced by meat type,follow-up and sex.A daily intake of 27,123 and 170 g of livestock products increased the risk of T2D by 10%,51%and 70%respectively,whereas the risk of T2D was reduced when the intake of various meat products was less than 23 g/day. 展开更多
关键词 Meat products META-analysis Dose-response analysis Alzheimers dementia Type 2 diabetes Food safety
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Integration of gut microbiota and metabolomics analysis to unravel the neuroprotective effects of hydroxy-α-sanshool on Alzheimer’s disease
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作者 Ruolan Li Wenwen Chen +4 位作者 Hong Zhang Qi Liang Lingyu Wang Wei Peng Chunjie Wu 《Food Science and Human Wellness》 2025年第9期3529-3547,共19页
Alzheimer’s disease(AD)is a common neurodegenerative disease,and oxidative stress induced by amyloidβ-protein(Aβ)deposition is the key cause of neuronal apoptosis in AD patient.Hydroxy-α-sanshool(HAS)is the predom... Alzheimer’s disease(AD)is a common neurodegenerative disease,and oxidative stress induced by amyloidβ-protein(Aβ)deposition is the key cause of neuronal apoptosis in AD patient.Hydroxy-α-sanshool(HAS)is the predominant flavour substances in the pericarp of Zanthoxylum bungeanum Maxim.(Rutaceae family),which is a known condiment food and herbal medicine in China.We attempt to comprehensively elucidate the pathway and related mechanisms of HAS therapy on AD through in vivo and in vitro experiments.The results showed that HAS could inhibit cell apoptosis,suppress the reactive oxygen species(ROS),and increase the antioxidative enzymes in Aβ1-42 induced HT22 cells.In vivo,HAS attenuated the learning and memory impairment in senescence-accelerated mouse prone 8(SAMP8)mice,and protected neuronal cells in hippocampus.Interestingly,the 16S rRNA gene sequencing results showed HAS could restore the richness and diversity of the intestinal microbiota,reduce the abundance of Lactobacillus,and increase the abundance of Bateroides and Parabacteroides.Moreover,the contents of 10 metabolites were significantly changed after HAS treatment,which was beneficial to treat AD.In conclusion,HAS could inhibit apoptosis in nerve cells by attenuating Aβinduced oxidative stress level,while it can also influence the metabolic pathways and affect the gut microbiota composition of AD mice. 展开更多
关键词 Hydroxy-α-sanshool Alzheimers disease Oxidative stress APOPTOsIs Gut microbiota Metabolomics analysis
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Probabilistic characteristic analysis of seismic performance of water distribution system based on quasi-Monte Carlo simulation
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作者 Hou Benwei Yuan Minghao +3 位作者 Diao Kegong Ma Xitao Zhou Baojin Du Xiuli 《Earthquake Engineering and Engineering Vibration》 2025年第2期595-611,共17页
Due to uncertainties in seismic pipeline damage and post-earthquake recovery processes,probabilistic characteristics such as mean value,standard deviation,probability density function,and cumulative distribution funct... Due to uncertainties in seismic pipeline damage and post-earthquake recovery processes,probabilistic characteristics such as mean value,standard deviation,probability density function,and cumulative distribution function provide valuable information.In this study,a simulation-based framework to evaluate these probabilistic characteristics in water distribution systems(WDSs)during post-earthquake recovery is developed.The framework first calculates pipeline failure probabilities using seismic fragility models and then generates damage samples through quasi-Monte Carlo simulations with Sobol’s sequence for faster convergence.System performance is assessed using a hydraulic model,and recovery simulations produce time-varying performance curves,where the dynamic importance of unrepaired damage determines repair sequences.Finally,the probabilistic characteristics of seismic performance indicators,resilience index,resilience loss,and recovery time are evaluated.The framework is applied in two benchmark WDSs with different layouts to investigate the probabilistic characteristics of their seismic performance and resilience.Application results show that the cumulative distribution function reveals the variations in resilience indicators for different exceedance probabilities,and there are dramatic differences among the recovery times corresponding to the system performance recovery targets of 80%,90%,and 100%. 展开更多
关键词 water distribution system probabilistic analysis post-earthquake performance seismic resilience quasi Monte Carlo sobol’s sequence
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Impact of dietary nutrition regimens based on body composition analysis on bone metabolism in Alzheimer’s disease patients
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作者 Xue-Lian Wang Yi-Ran Zhao +3 位作者 Ying Yu Zhi-Fang Mao Su-Xian Tan Shan-Shan Yu 《World Journal of Psychiatry》 2025年第2期59-68,共10页
BACKGROUND Body composition analysis(BCA)is primarily used in the management of conditions such as obesity and endocrine disorders.However,its potential in providing nutritional guidance for patients with Alzheimer’s... BACKGROUND Body composition analysis(BCA)is primarily used in the management of conditions such as obesity and endocrine disorders.However,its potential in providing nutritional guidance for patients with Alzheimer’s disease(AD)remains relatively unexplored.AIM To explore the clinical efficacy of BCA-based dietary nutrition scheme on bone metabolism in AD patients.METHODS This retrospective study included 96 patients with AD complicated by osteoporosis who were admitted to The Third Hospital of Quzhou between January 2023 and December 2024.Based on data from previous similar studies,the patients were randomly assigned to either a routine diet(RD)group(n=48)or a personalized nutrition(PN)group(n=48).The RD group received conventional dietary guidance,while the PN group received individualized diet intervention measures based on human BCA.The intervention period lasted for 12 weeks.Bone mineral density(BMD),body mass index(BMI),muscle mass,mineral content,osteocalcin,25-hydroxyvitamin D,procollagen type I N-terminal propeptide(PINP),beta C-terminal telopeptide of type I collagen(β-CTX),and serum calcium were measured and compared between the two groups before and 12 weeks after the intervention.RESULTS No significant differences were observed between groups in terms of age,sex,height,BMI,or other baseline data(P>0.05).In both groups,BMI did not show significant changes after the intervention(P>0.05),whereas muscle mass and mineral content were significantly increased(P<0.05).After the intervention,BMI in the PN group did not differ significantly from that of the RD group,but muscle mass and mineral content were significantly higher in the PN group(P<0.05).After the intervention,a higher proportion of patients in the PN group had a T score>-1 compared to the RD group(P<0.05).The mini-mental state examination(MMSE)score was similar in both groups before the intervention.However,12 weeks after the intervention,the MMSE score in the PN group was significantly higher than that in the RD group(P<0.05).In both groups,the MMSE score significantly increased 12 weeks post-intervention compared to pre-intervention levels(P<0.05).Before the intervention,the levels of osteocalcin,serum calcium,PINP,β-CTX,and 25-hydroxyvitamin D were not significantly different between the two groups(P>0.05).After 12 weeks of intervention,the PN group exhibited higher levels of osteocalcin,serum calcium,and 25-hydroxyvitamin D,as well as lower levels of PINP andβ-CTX,compared to the RD group(P<0.05).In both groups,osteocalcin,serum calcium,and 25-hydroxyvitamin D levels were significantly higher,while PINP andβ-CTX levels were significantly lower after 12 weeks of intervention compared to baseline(P<0.05).CONCLUSION The human BCA-based dietary nutrition regimen plays a crucial role in improving BMD and bone metabolism,with effects that surpass those of conventional nutrition strategies.The findings of this study provide strong evidence for the nutritional management of AD patients. 展开更多
关键词 Alzheimers disease Bone metabolism disorders Human body composition analysis Dietary nutrition Bone homeostasis Dietary management
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Strengths,weaknesses,opportunities,and threats analysis of combination therapy for inflammatory bowel disease
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作者 Jia-Wang Yan Mei Nie +2 位作者 Hang Zhang Yan-Miao Liu Fu-Shan Tang 《World Journal of Gastroenterology》 2025年第9期176-182,共7页
Inflammatory bowel disease(IBD),encompassing Crohn’s disease and ulcerative colitis,manifests as a chronic,recurrent,and refractory intestinal inflammatory condition significantly impacting patients’quality of life.... Inflammatory bowel disease(IBD),encompassing Crohn’s disease and ulcerative colitis,manifests as a chronic,recurrent,and refractory intestinal inflammatory condition significantly impacting patients’quality of life.Despite ongoing research,its etiology and pathogenesis remain incompletely understood.Recent advancements in medical research highlight the critical role of drug combination therapies in managing IBD.This paper employs the strengths,weaknesses,opportunities,and threats framework to evaluate the four strategic elements(strengths,weaknesses,opportunities,and threats)pertaining to combination therapies for IBD.Among the strengths,the paper underscores the efficacy of multi-targeted strategies,the advancement of personalized medicine,and the mitigation of drug resistance.Nonetheless,the analysis identifies significant weaknesses,including the prohibitive cost of treatment,issues with patient compliance,and the necessity for comprehensive long-term safety data.The paper also delineates opportunities to augment therapeutic success through the incorporation of biomarkers,the application of artificial intelligence,and extensive international collaborative efforts.In contrast,the paper does not shy away from addressing the threats,which include the potential for therapeutic resistance and the logistical challenges inherent in global therapy deployment.These initiatives aim to refine future therapeutic practices,fostering safer,more effective,and personalized treatment paradigms for IBD patients. 展开更多
关键词 Inflammatory bowel disease Ulcerative colitis Crohn’s disease Combination therapy strengths weaknesses opportunities threats analysis
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Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer’s Disease:A Data-Driven Meta-Analysis with N=3,118
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作者 Xiaopeng Kang Dawei Wang +24 位作者 Jiaji Lin Hongxiang Yao Kun Zhao Chengyuan Song Pindong Chen Yida Qu Hongwei Yang Zengqiang Zhang Bo Zhou Tong Han Zhengluan Liao Yan Chen Jie Lu Chunshui Yu Pan Wang Xinqing Zhang Ming Li Xi Zhang Tianzi Jiang Yuying Zhou Bing Liu Ying Han Yong Liu The Alzheimer’s Disease Neuroimaging Initiative The Multi-Center Alzheimer’s Disease Imaging(MCADI)Consortium 《Neuroscience Bulletin》 SCIE CAS CSCD 2024年第9期1274-1286,共13页
The current study aimed to evaluate the susceptibility to regional brain atrophy and its biological mechanism in Alzheimer’s disease(AD).We conducted data-driven meta-analyses to combine 3,118 structural magnetic res... The current study aimed to evaluate the susceptibility to regional brain atrophy and its biological mechanism in Alzheimer’s disease(AD).We conducted data-driven meta-analyses to combine 3,118 structural magnetic resonance images from three datasets to obtain robust atrophy patterns.Then we introduced a set of radiogenomic analyses to investigate the biological basis of the atrophy patterns in AD.Our results showed that the hippocampus and amygdala exhibit the most severe atrophy,followed by the temporal,frontal,and occipital lobes in mild cognitive impairment(MCI)and AD.The extent of atrophy in MCI was less severe than that in AD.A series of biological processes related to the glutamate signaling pathway,cellular stress response,and synapse structure and function were investigated through gene set enrichment analysis.Our study contributes to understanding the manifestations of atrophy and a deeper understanding of the pathophysiological processes that contribute to atrophy,providing new insight for further clinical research on AD. 展开更多
关键词 Alzheimers disease structural magnetic resonance imaging META-analysis Brain atrophy Gene set enrichment analysis
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A Bayesian multi-model inference methodology for imprecise momentindependent global sensitivity analysis of rock structures
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作者 Akshay Kumar Gaurav Tiwari 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2024年第3期840-859,共20页
Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(i.e.type of distribution type and its parameters)of input rock properties emanating du... Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(i.e.type of distribution type and its parameters)of input rock properties emanating due to the small size of datasets while mapping the relative importance of properties to the model response.This paper proposes an augmented Bayesian multi-model inference(BMMI)coupled with GSA methodology(BMMI-GSA)to address this issue by estimating the imprecision in the momentindependent sensitivity indices of rock structures arising from the small size of input data.The methodology employs BMMI to quantify the epistemic uncertainties associated with model type and parameters of input properties.The estimated uncertainties are propagated in estimating imprecision in moment-independent Borgonovo’s indices by employing a reweighting approach on candidate probabilistic models.The proposed methodology is showcased for a rock slope prone to stress-controlled failure in the Himalayan region of India.The proposed methodology was superior to the conventional GSA(neglects all epistemic uncertainties)and Bayesian coupled GSA(B-GSA)(neglects model uncertainty)due to its capability to incorporate the uncertainties in both model type and parameters of properties.Imprecise Borgonovo’s indices estimated via proposed methodology provide the confidence intervals of the sensitivity indices instead of their fixed-point estimates,which makes the user more informed in the data collection efforts.Analyses performed with the varying sample sizes suggested that the uncertainties in sensitivity indices reduce significantly with the increasing sample sizes.The accurate importance ranking of properties was only possible via samples of large sizes.Further,the impact of the prior knowledge in terms of prior ranges and distributions was significant;hence,any related assumption should be made carefully. 展开更多
关键词 Bayesian inference Multi-model inference statistical uncertainty Global sensitivity analysis(GsA) Borgonovo’s indices Limited data
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Production decline curve analysis of shale oil wells:A case study of Bakken,Eagle Ford and Permian
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作者 Hui-Ying Tang Ge He +4 位作者 Ying-Ying Ni Da Huo Yu-Long Zhao Liang Xue Lie-Hui Zhang 《Petroleum Science》 CSCD 2024年第6期4262-4277,共16页
The shale revolution has turned the United States from an oil importer into an oil exporter.The success of shale oil production in the U.S.has inspired many countries,including China,to begin the exploitation and deve... The shale revolution has turned the United States from an oil importer into an oil exporter.The success of shale oil production in the U.S.has inspired many countries,including China,to begin the exploitation and development of shale oil resources.In this study,the production curves of over 30,000 shale oil wells in the Bakken,Eagle Ford(EF)and Permian are systematically analyzed to provide reference and guidance for future shale oil development.To find out the most suitable decline curve models for shale oil wells,fifteen models and a new fitting method are tested on wells with production history over 6 years.Interestingly,all basins show similar results despite of their varieties in geological conditions:stretched exponential production decline(SEPD)+Arps model provides most accurate prediction of estimated ultimate recovery(EUR)for wells with over 2 years'production,while the Arps model can be used before the two years'switch point.With the EUR calculated by decline curve analysis,we further construct simple regression models for different basins to predict the EUR quickly and early.This work helps us better understand the production of shale oil wells,as well as provide important suggestions for the choices of models for shale oil production prediction. 展开更多
关键词 U.s.shaleoil wells Production curve Decline curve analysis Production prediction
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Transitivity Analysis of the Energy in China’s New Era
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作者 SHAN Ting WANG Yu 《Journal of Literature and Art Studies》 2024年第2期170-176,共7页
At present,with the steady development of the global economy,more and more countries begin to pay attention to the impact of ecological environment on economic development and human society,so the ecological environme... At present,with the steady development of the global economy,more and more countries begin to pay attention to the impact of ecological environment on economic development and human society,so the ecological environment has become a global issue that cannot be ignored in today’s era.Therefore,from the perspective of the ecological philosophy of Diversity&Harmony as well as Interaction&Co-existence,this paper will conduct ecological discourse analysis on the Energy in China’s New Era based on the transitivity system of systemic-functional grammar,and use the Corpus analysis software UAM Corpus Tool 3.3x to label and make statistics on the transitivity system,aiming to explore the distribution characteristics of the transitivity system in this white paper.Through the transitivity analysis of the white paper,this study helps readers to have a deeper understanding of the positive significance contained in the white paper.To a certain extent,it enables readers at home and abroad to understand China’s stance on energy issues and the positive image of China in energy ecology.It also awaken readers’awareness of environmental protection and acquire good habits of resource conservation to be in harmony between human and nature for sustainable development. 展开更多
关键词 TrANsITIVITY Ecological discourse analysis Energy in China’s new era
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Comparison of R and Excel in the Field of Data Analysis
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作者 Jue Wang 《Journal of Electronic Research and Application》 2024年第3期178-184,共7页
This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks.R language’s open-source nature makes it accessible to everyone,and i... This research paper compares Excel and R language for data analysis and concludes that R language is more suitable for complex data analysis tasks.R language’s open-source nature makes it accessible to everyone,and its powerful data management and analysis tools make it suitable for handling complex data analysis tasks.It is also highly customizable,allowing users to create custom functions and packages to meet their specific needs.Additionally,R language provides high reproducibility,making it easy to replicate and verify research results,and it has excellent collaboration capabilities,enabling multiple users to work on the same project simultaneously.These advantages make R language a more suitable choice for complex data analysis tasks,particularly in scientific research and business applications.The findings of this study will help people understand that R is not just a language that can handle more data than Excel and demonstrate that r is essential to the field of data analysis.At the same time,it will also help users and organizations make informed decisions regarding their data analysis needs and software preferences. 展开更多
关键词 EXCEL r language Data analysis Open source COMPArE Data management Advantages Disadvantages FUNCTION
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Conceptual Analysis of Self-Management in Patients with Hypertension
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作者 Li Yang Yutian Hao +4 位作者 Liling Zhong Shilin Xu Saiqiong Zhong Yanying Lu Hui Liu 《Journal of Clinical and Nursing Research》 2024年第5期356-368,共13页
Objective:To clarify the concept of self-management in hypertensive patients by analyzing the definition,attributes,and measurement tools through a literature review.Methods:An Internet-based search of the databases w... Objective:To clarify the concept of self-management in hypertensive patients by analyzing the definition,attributes,and measurement tools through a literature review.Methods:An Internet-based search of the databases was conducted using Academic Search Complete,Medical Line,CINAHL,Health Source:Nursing/Scholarly Edition,and Google Scholar.In the search process,keywords or free text were combined by using Boolean operators,with the search terms“self of management”or“self-management,”“concept*analysis”or“concept*definition,”and Walker and Avant’s concept analysis method was used.Results:Analysis of relevant literature summarized the conceptual attributes of self-management in hypertensive patients as the active participation of patients in the treatment process;the presence of interaction provided by patients and health care providers;the use of certain health management tools;and the aim of maintaining and improving the health status and living capacity of hypertensive patients.Conclusion:The concept of self-management for hypertensive patients was clarified,which helps to promote the application of hypertensive self-management in clinical work and improve outcomes and quality of life for patients with hypertension. 展开更多
关键词 HYPErTENsION sELF-MANAGEMENT Concept analysis Walker and Avant’s concept analysis method
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5米S-SAR卫星固态有源馈电网络设计与实现
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作者 赵海洋 吕慎刚 +2 位作者 李阳斌 刘洪斌 郑新 《航天器工程》 北大核心 2025年第3期103-110,共8页
针对5米S频段合成孔径雷达(S-SAR)卫星对有源馈电系统提出的高功率、高效率、高可靠性及多极化等应用需求,文章设计了一种固态有源馈电网络,采用相控阵馈源体制,在原集中式馈电系统的基础上,引入相控阵的设计理念,通过收发(T/R)组件、... 针对5米S频段合成孔径雷达(S-SAR)卫星对有源馈电系统提出的高功率、高效率、高可靠性及多极化等应用需求,文章设计了一种固态有源馈电网络,采用相控阵馈源体制,在原集中式馈电系统的基础上,引入相控阵的设计理念,通过收发(T/R)组件、波束控制单元等来实现射频大功率有源馈电和多极化工作模式。通过对氮化镓(GaN)化合物半导体高功率器件的应用,实现了馈电系统的高功率、高效率和高可靠性等性能指标要求。通过机热一体化设计,形成了一种具有良好力学性能和热学性能的固态有源馈电网络系统。项目完成了规定的环境试验考核,并提交5米S-SAR卫星装星应用验证,结果表明:该固态有源馈电网络满足卫星的使用要求。 展开更多
关键词 5米s频段合成孔径雷达卫星 固态有源馈电网络 T/r组件 氮化镓化合物半导体
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Discourse Analysis of the Belt and Road Initiative From the Perspective of Central Asian Countries: A Case Study of the Republic of Kazakhstan
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作者 CHEN Jia LIU Shumin +1 位作者 FU Da’an SHAO Di 《Journalism and Mass Communication》 2024年第2期96-100,共5页
This study employs Norman Fairclough’s Critical Discourse Analysis(CDA)three-dimensional model,using the Republic of Kazakhstan as a case study,to delve into the discourse construction of China’s Belt and Road Initi... This study employs Norman Fairclough’s Critical Discourse Analysis(CDA)three-dimensional model,using the Republic of Kazakhstan as a case study,to delve into the discourse construction of China’s Belt and Road Initiative(BRI)in Central Asian countries.Through detailed analysis of policy documents,media reports,and public discussions in Central Asian countries,this paper reveals how the BRI constructs specific social practices,discourse events,and textual meanings within these nations.The findings indicate that through this global development strategy,China has not only strengthened its economic ties with Central Asian countries but has also exerted profound influences on political,cultural,and social levels. 展开更多
关键词 Belt and road Initiative Central Asian countries discourse analysis Norman Fairclough’s three-dimensional model
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R-Factor Analysis of Data Based on Population Models Comprising R- and Q-Factors Leads to Biased Loading Estimates
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作者 André Beauducel 《Open Journal of Statistics》 2024年第1期38-54,共17页
Effects of performing an R-factor analysis of observed variables based on population models comprising R- and Q-factors were investigated. Although R-factor analysis of data based on a population model comprising R- a... Effects of performing an R-factor analysis of observed variables based on population models comprising R- and Q-factors were investigated. Although R-factor analysis of data based on a population model comprising R- and Q-factors is possible, this may lead to model error. Accordingly, loading estimates resulting from R-factor analysis of sample data drawn from a population based on a combination of R- and Q-factors will be biased. It was shown in a simulation study that a large amount of Q-factor variance induces an increase in the variation of R-factor loading estimates beyond the chance level. Tests of the multivariate kurtosis of observed variables are proposed as an indicator of possible Q-factor variance in observed variables as a prerequisite for R-factor analysis. 展开更多
关键词 r-Factor analysis Q-Factor analysis Loading Bias Model Error Multivariate Kurtosis
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