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A scoping review of methodologies for applying artificial intelligence to physical activity interventions

Journal of Sport and Health Science 2024年第3期13卷 428-441页

作者： Ruopeng An Jing Shen Junjie Wang yuyi yang Brown School Washington UniversitySt.LouisMO 63130USA Department of Physical Education China University of Geosciences BeijingBeijing 100083China School of Kinesiology and Health Promotion Dalian University of TechnologyDalian 116024China Division of Computational and Data Sciences Washington UniversitySt.LouisMO 63130USA

Purpose This scoping review aimed to offer researchers and practitioners an understanding of artificial intelligence(AI)applications in physical activity(PA)interventions;introduce them to prevalent machine learning(ML),deep learning(DL),and reinforcement learning(RL)algorithms;and encourage the adoption of AI *** A scoping review was performed in PubMed,Web of Science,Cochrane Library,and EBSCO focusing on AI applications for promoting PA or predicting related behavioral or health *** methodologies were summarized and categorized to identify synergies,patterns,and trends informing future ***,a concise primer on predominant AI methodologies within the realm of PA was provided to bolster understanding and broader *** The review included 24 studies that met the predetermined eligibility *** models were found effective in detecting significant patterns of PA behavior and associations between specific factors and intervention *** studies comparing AI models to traditional statistical approaches reported higher prediction accuracy for AI models on test *** of different AI models yielded mixed results,likely due to model performance being highly dependent on the dataset and *** increasing trend of adopting state-of-the-art DL and RL models over standard ML was observed,addressing complex human–machine communication,behavior modification,and decision-making *** key areas for future AI adoption in PA interventions emerged:personalized PA interventions,real-time monitoring and adaptation,integration of multimodal data sources,evaluation of intervention effectiveness,expanding access to PA interventions,and predicting and preventing *** The scoping review highlights the potential of AI methodologies for advancing PA *** the field progresses,staying informed and exploring emerging AI-driven strategies is essential for achieving significant improveme

关键词： Artificial intelligence Intervention Machine learning Neural network Physical activity

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Biogeography and diversity patterns of antibiotic resistome in the sediments of global lakes

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Journal of Environmental Sciences 2023年第5期127卷 421-430页

作者： Chang Liu Jinping Chen yuyi yang yanguo Teng Haiyang Chen College of Water Sciences Beijing Normal UniversityBeijing 100875China Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical GardenChinese Academy of SciencesWuhan 430074China Engineering Research Center of Groundwater Pollution Control and Remediation Ministry of EducationBeijing 100875China

Lakes act as one of the reservoirs and dispersal routes of antibiotic resistance genes(ARGs)and pathogenic resistant bacteria in aquatic *** studies reported the occurrence and distribution of ARGs in lakes worldwide;however,few investigated the biogeography and diversity patterns of antibiotic resistome in the *** fill this gap,a large-scale data set of sediment metagenomes was collected from globally distributed lakes and characterized comprehensively using metagenomic assembly-based analysis,aiming to shed light on the biogeography and diversity patterns of ARGs in lake ecosystems from a global *** analyses showed that abundant and diverse ARGs were found in the global lake sediments,including a set of emerging ARGs such as mcr-type and carbapenem-resistant Enterobacteriaceae related *** of the identified ARGs were generally associated with the commonly used antibiotics,suggesting the role of increasing antibiotic consumptions on the resistome ***,the composition and diversity of ARGs varied across geographical distances and exhibited a scale-dependent distancedecay ***,the composition of ARGs was largely shaped by bacterial community structure,and their diversities were co-governed by stochastic process(∼48%)and deterministic process(∼52%).Findings provide a valuable insight to better understand ecological mechanisms of ARGs in lake ecosystems and have important implication for the prevention and control of resistome risk.

关键词： Antibiotic resistance genes Biogeography pattern Resistome diversity Ecological processes Metagenomic assembly-based analysis

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UGC-YOLO:Underwater Environment Object Detection Based on YOLO with a Global Context Block

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Journal of Ocean University of China 2023年第3期22卷 665-674页

作者： yang yuyi CHEN Liang ZHANG Jian LONG Lingchun WANG Zhenfei School of Information and Electrical Engineering Hunan University of Science and TechnologyXiangtan 411201China

With the continuous development and utilization of marine resources,the underwater target detection has gradually become a popular research topic in the field of underwater robot operations and target ***,it is difficult to combine the environmental semantic information and the semantic information of targets at different scales by detection algorithms due to the complex underwater *** this paper,a cascade model based on the UGC-YOLO network structure with high detection accuracy is *** YOLOv3 convolutional neural network is employed as the baseline *** fusing the global semantic information between two residual stages in the parallel structure of the feature extraction network,the perception of underwater targets is improved and the detection rate of hard-to-detect underwater objects is ***,the deformable convolution is applied to capture longrange semantic dependencies and PPM pooling is introduced in the highest layer network for aggregating semantic ***,a multi-scale weighted fusion approach is presented for learning semantic information at different *** are conducted on an underwater test dataset and the results have demonstrated that our proposed algorithm could detect aquatic targets in complex degraded underwater *** with the baseline network algorithm,the Common Objects in Context(COCO)evaluation metric has been improved by 4.34%.

关键词： object detection underwater environment semantic information semantic features deep learning algorithm

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Build neural network models to identify and correct news headlines exaggerating obesity-related scientific findings

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数据与情报科学学报:英文版 2023年第3期8卷 88-97页

作者： Ruopeng An Quinlan Batcheller Junjie Wang yuyi yang Brown School Washington University in St.LouisOne Brookings DriveSt.LouisMissouri 63130United States Department of kinesiology and health promotion Dalian University of TechnologyNo.2 Linggong RoadDalian 116024China

Purpose:Media exaggerations of health research may confuse readers’understanding,erode public trust in science and medicine,and cause disease *** study built artificial intelligence(AI)models to automatically identify and correct news headlines exaggerating obesity-related research ***/methodology/approach:We searched popular digital media outlets to collect 523 headlines exaggerating obesity-related research *** reasons for exaggerations include:inferring causality from observational studies,inferring human outcomes from animal research,inferring distant/end outcomes(e.g.,obesity)from immediate/intermediate outcomes(e.g.,calorie intake),and generalizing findings to the population from a subgroup or convenience *** headline was paired with the title and abstract of the peer-reviewed journal publication covered by the news *** drafted an exaggeration-free counterpart for each original headline and fined-tuned a BERT model to differentiate between *** further fine-tuned three generative language models-BART,PEGASUS,and T5 to autogenerate exaggeration-free headlines based on a journal publication’s title and *** performance was evaluated using the ROUGE metrics by comparing model-generated headlines with journal publication ***:The fine-tuned BERT model achieved 92.5%accuracy in differentiating between exaggeration-free and original *** ROUGE scores averaged 0.311 for ROUGE-1,0.113 for ROUGE-2,0.253 for ROUGE-L,and 0.253 ***,T5,and BART all outperformed the *** best-performing BART model attained 0.447 for ROUGE-1,0.221 for ROUGE-2,0.402 for ROUGE-L,and 0.402 for ***/value:This study demonstrated the feasibility of leveraging AI to automatically identify and correct news headlines exaggerating obesity-related research findings.

关键词： Artificial intelligence Deep neural networks News Headlines Exaggeration Obesity

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Distribution and ecological risk assessment of polycyclic aromatic hydrocarbons in different compartments in Kenya:A review

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Emerging Contaminants 2022年第1期8卷 351-359页

作者： Shuxin Liang Xue Yan Bangshuo An yuyi yang Minxia Liu Research Center for Ecology and Environment of Qinghai-Tibetan Plateau Tibet UniversityLhasa850000China College of Science Tibet UniversityLhasa850000China Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical GardenChinese Academy of SciencesWuhan430074China University of Chinese Academy of Sciences Beijing100049China Center of Plant Ecology Core Botanical GardensChinese Academy of SciencesWuhan430074China Sino-Africa Joint Research Center Chinese Academy of SciencesWuhan430074China College of Forestry Shanxi Agricultural UniversityJinzhong030801China

PAHs are one of the environmental contaminants of greatest concern on global scales due to their ecological *** study collected the polycyclic aromatic hydrocarbon(PAH)concentration data of six different media in Kenya and evaluated their ecological risk ***-five literatures related to PAHs pollution in Kenya were found to conduct a *** meta-analysis shows that the geometric means of PAH pollution in water(481.49 ng L^(-1)),sediment(519.15 ng g^(-1))t,soil(337.46 ng g^(-1)),air(38.60 ng m^(-3)),food(33.12 ng g^(-1)),and other(111,176.90 ng g^(-1))six media in Kenya had different *** primary sources were combustion sources.A small number of PAHs are petroleum sources.A variety of methods were used to assess the ecological risk of PAHs in different media in Kenya,and we used a tiered approach to assess the ecological risk of *** risk assessment result showed that the high contamination of Acenaphthylene and Acenaphthelene found in water in Kenya may pose certain ecological risks,which requires necessary *** concentration of Benzo[k]fluoranthene in sediment and the concentration of carcinogenic PAHs in soil can also cause the ecological risks,which should be paid more *** light of the PAH contamination in various media found in Kenya in the study,further detailed studies should be carried out to provide a more detailed analysis of the distribution of PAHs in Kenya to prevent the severe impact of PAHs contamination in Kenya and Africa.

关键词： Risk assessment Polycyclic aromatic hydrocarbons Kenya Water Sediment Food

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Beyond biogeographic patterns:Processes shaping the microbial landscape in soils and sediments along the yangtze River

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mLife 2023年第1期2卷 89-100页

作者： Wenjie Wan Geoffrey MGadd Ji‐Dong Gu Wenzhi Liu Peng Chen Quanfa Zhang yuyi yang Key Laboratory of Aquatic Botany and Watershed Ecology Wuhan Botanical Garden Chinese Academy of SciencesWuhanChina Danjiangkou Wetland Ecosystem Field Scientific Observation and Research Station Chinese Academy of Sciences&Hubei ProvinceWuhanChina Geomicrobiology Group School of Life SciencesUniversity of DundeeDundeeScotlandUK State Key Laboratory of Heavy Oil Processing State Key Laboratory of Petroleum Pollution ControlChina University of PetroleumBeijingChina Environmental Science and Engineering Group Guangdong Technion‐Israel Institute of TechnologyGuangdongChina

Deciphering biogeographic patterns of microorganisms is important for evaluating the maintenance of microbial diversity with respect to the ecosystem functions they ***,ecological processes shaping distribution patterns of microorganisms across large spatial‐scale watersheds remain largely *** Illumina sequencing and multiple statistical methods,we characterized distribution patterns and maintenance diversity of microorganisms(i.e.,archaea,bacteria,and fungi)in soils and sediments along the yangtze *** microbial distribution patterns were found between soils and sediments,and microbial community similarity significantly decreased with increasing geographical *** properties showed a larger effect on microbial community composition than geospatial and climatic *** and fungi displayed stronger species replacements and weaker environmental constraints in soils than that in sediments,but opposite for ***,bacteria,and fungi in soils showed broader environmental breadths and stronger phylogenetic signals compared to those in sediments,suggesting stronger environmental *** dominated community assemblies of archaea and fungi in soils and sediments,whereas determinism dominated bacterial community *** results have therefore highlighted distinct microbial distribution patterns and diversity maintenance mechanisms between soils and sediments,and emphasized important roles of species replacement,environmental adaptability,and ecological assembly processes on microbial *** findings are helpful in predicting loss of microbial diversity in the yangtze River Basin,and might assist the establishment of environmental policies for protecting fragile watersheds.

关键词： environmental breadth environmental constraint phylogenetic signal species replacement stochasticity versus determinism

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利用主成分权重重置实现牛奶成分浓度快速检测中近红外光谱的净化去噪

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光学学报 2017年第10期37卷 342-349页

作者：王丽杰杨羽翼哈尔滨理工大学测控技术与通信工程学院黑龙江哈尔滨150080 哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室黑龙江哈尔滨150080

为了利用近红外光谱技术对牛奶中脂肪、蛋白质和乳糖的浓度进行快速检测,提出了基于直方图规定化和模糊层次分析法的近红外光谱主成分权重重置预处理方法。针对牛奶样品的光谱进行主成分分析,确定光谱数据中的最佳主成分数,得到了各主... 详细信息

为了利用近红外光谱技术对牛奶中脂肪、蛋白质和乳糖的浓度进行快速检测,提出了基于直方图规定化和模糊层次分析法的近红外光谱主成分权重重置预处理方法。针对牛奶样品的光谱进行主成分分析,确定光谱数据中的最佳主成分数,得到了各主成分的得分和权重。采用直方图规定化的数学统计思想实现二维光谱矩阵的滤波及净化去噪,利用模糊层次分析方法对有效主成分信息的权重进行重置映射,滤掉无关的主成分干扰信息,建立权重重置后的光谱。在此基础上,对预处理后的光谱数据进行脂肪、蛋白质和乳糖的偏最小二乘回归1(PLS1)建模,得到脂肪的相关系数为0.980,预测均方根误差为0.158×10^(-2) g·mL^(-1);蛋白质的相关系数为0.997,实际预测偏差为0.050×10^(-2) g·mL^(-1);乳糖的相关系数为0.985,实际预测偏差为0.152×10^(-2) g·mL^(-1)。由模型预测结果可知,基于直方图规定化和模糊层次分析法的近红外光谱主成分权重重置预处理方法比常规预处理方法具有更好的滤波和去噪效果,说明将直方图规定化和模糊层次分析法相结合对牛奶近红外光谱进行预处理具有可行性。

关键词：光谱学近红外光谱光谱分析直方图规定化模糊层次分析法权重

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Contribution of Surface Waves to Sea Surface Temperatures in the Arctic Ocean

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Journal of Ocean University of China 2024年第5期23卷 1151-1162页

作者： WEI Meng SHAO Weizeng SHEN Wei HU yuyi ZHANG Yu ZUO Juncheng College of Oceanography and Ecological Science Shanghai Ocean University China Waterborne Transport Research Institute Ministry of Transport of the People's Republic of China

The aim of our study was to examine the contribution of surface waves from WAVEWATCH-III(WW3) to the variation in sea surface temperature(SST) in the Arctic Ocean. The simulated significant wave height(SWH) were validated against the products from Haiyang-2B(HY-2B) in 2021, obtaining a root mean squared error(RMSE) of 0.45 with a correlation of 0.96 and scatter index of 0.18. The wave-induced effects, i.e., wave breaking and mixing induced by nonbearing waves resulting in changes in radiation stress and Stokes drift, were calculated from WW3, ERA-5 wind, SST, and salinity data from the National Centers for Environmental Prediction and were taken as forcing fields in the Stony Brook Parallel Ocean Model. The results showed that an RMSE of 0.81℃ with wave-induced effects was less than the RMSE of 1.11℃ achieved without the wave term compared with the simulated SST with the measurements from Argos. Considering the four wave effects and sea ice freezing, the SST in the Arctic Ocean decreased by up to 1℃ in winter. Regression analysis revealed that the SWH was linear in SST(values without subtraction of waves) in summer and autumn, but this behavior was not observed in spring or winter due to the presence of sea ice. The interannual variation also presented a negative relationship between the difference in SST and SWH.

关键词： Arctic Ocean sea surface temperature sea surface wave

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水雾旋喷装置研制

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喷灌技术 1996年第2期 12-14页

作者：杨渝宜武汉水利电力大学施工研究所

水雾旋喷装置是应水利、土木等工程实际应用需要而提出的研制项目。本文对所研制的水雾旋喷装置的工作原理，技术参数测试方法以及该装置的试验结果进行了阐述。

关键词：水雾雾罩覆盖面积水雾旋喷装置

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Analysis of Sea Surface Temperature Cooling in Typhoon Events Passing the Kuroshio Current

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Journal of Ocean University of China 2024年第2期23卷 287-303页

作者： HU yuyi SHAO Weizeng SHEN Wei ZUO Juncheng JIANG Tao HU Song College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China East China Sea Environment Monitoring Ministry of Natural ResourcesShanghai 201206China China Waterborne Transport Research Institute Ministry of TransportBeijing 100088China

The aim of this study is to investigate the sea surface temperature(SST) cooling as typhoons pass the Kuroshio Current.A numerical circulation model,denoted as the Stony Brook Parallel Ocean Model(sbPOM),was used to simulate the SST,which includes four wave-induced effect terms(i.e.,radiation stress,nonbreaking waves,Stokes drift,and breaking waves) simulated using the third-generation wave model,called WAVEWATCH-Ⅲ(WW3).The significant wave height(SWH) measurements from the Jason-2 altimeter were used to validate the WW3-simulated results,yielding a root mean square error(RMSE) of less than 0.50 m and a correlation coefficient(COR) of approximately *** water temperature measured from the Advanced Research and Global Observation Satellite was applied to validate the model ***,the RMSE of the SST is 0.92℃ with a COR of approximately *** revealed in the sbPOM-simulated SST fields,a reduction in the SST at the Kuroshio Current region was observed as a typhoon passed,although the water temperature of the Kuroshio Current is relatively *** variation of the SST is consistent with that of the current,whereas the maximum SST lagged behind the occurrence of the peak ***,the Stokes drift plays an important role in the SST cooling after analyzing four wave-induced terms in the background of the Kuroshio *** sensitivity experiment also showed that the accuracy of the water temperature was significantly reduced when including breaking waves,which play a negative role in the inside part of the *** variation in the mean mixing layer depth(MLD) showed that a typhoon could enhance the mean MLD in the Kuroshio Current area in September and October,whereas a typhoon has little influence on the mean MLD in the Kuroshio Current area in ***,the mean MLD rapidly decreased with the weakening of the strong wind force and wave-induced effects when a typhoon crossed the Kuroshio Current.

关键词： typhoon wave sea surface temperature Kuroshio Current

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