Background:Depression is prevalent among female college students,with eating behavior potentially related to this issue.This study examines the relationship between eating behavior and depression,focusing on the role ...Background:Depression is prevalent among female college students,with eating behavior potentially related to this issue.This study examines the relationship between eating behavior and depression,focusing on the role of social appearance anxiety and physical activity.Methods:We recruited 2161 female college students from nine universities in China via convenience sampling.Data was collected via an online questionnaire.Eating behavior was assessed via the Eating Behavior Scale short form(EBS-SF),depression was measured via the Center for Epidemiological Studies Depression Scale(CES-D),social appearance anxiety was evaluated via the Social Appearance Anxiety Scale,and physical activity was assessed via a single-item question.Descriptive statistics were analyzed via SPSS 26.0,and moderated mediation analysis was conducted via PROCESS version 3.5.Results:Unhealthy eating behavior was significantly associated with higher levels of depression(β=0.285,p<0.001).Social appearance anxiety mediated this relationship,accounting for 46%of the total effect(β=0.132,95%CI=[0.108,0.158]).The interaction effect between eating behavior and physical activity was significantly and negatively correlated with depression(β=−0.052,p<0.01).The association between eating behavior and depression was stronger under conditions of low physical activity(β=0.210,p<0.001)than under conditions of high physical activity(β=0.105,p<0.001).Conclusions:Integrating nutritional guidance,body image acceptance training,and exercise promotion into campus mental health programs is crucial for addressing depression in female college students.Future research should use longitudinal designs and broader participant ranges to increase the general applicability of the findings.展开更多
Multi-Object Tracking(MOT)represents a fundamental but computationally demanding task in computer vision,with particular challenges arising in occluded and densely populated environments.While contemporary tracking sy...Multi-Object Tracking(MOT)represents a fundamental but computationally demanding task in computer vision,with particular challenges arising in occluded and densely populated environments.While contemporary tracking systems have demonstrated considerable progress,persistent limitations—notably frequent occlusion-induced identity switches and tracking inaccuracies—continue to impede reliable real-world deployment.This work introduces an advanced tracking framework that enhances association robustness through a two-stage matching paradigm combining spatial and appearance features.Proposed framework employs:(1)a Height Modulated and Scale Adaptive Spatial Intersection-over-Union(HMSIoU)metric for improved spatial correspondence estimation across variable object scales and partial occlusions;(2)a feature extraction module generating discriminative appearance descriptors for identity maintenance;and(3)a recovery association mechanism for refining matches between unassociated tracks and detections.Comprehensive evaluation on standard MOT17 and MOT20 benchmarks demonstrates significant improvements in tracking consistency,with state-of-the-art performance across key metrics including HOTA(64),MOTA(80.7),IDF1(79.8),and IDs(1379).These results substantiate the efficacy of our Cue-Tracker framework in complex real-world scenarios characterized by occlusions and crowd interactions.展开更多
Rice grain size is a primary characteristic essential for artificial domestication and breeding,governed by grain length,width,and thickness.In this study,we cloned Grain Size 10(GS10),a novel gene via mapbased clonin...Rice grain size is a primary characteristic essential for artificial domestication and breeding,governed by grain length,width,and thickness.In this study,we cloned Grain Size 10(GS10),a novel gene via mapbased cloning.Biochemical,molecular,and genetic studies were performed to elucidate the GS10 involved grain size mechanism in rice.Mutant of GS10 lead to reduced grain size due to alterations in cell expansion.Additionally,GS10 is responsible for the formation of notched-belly grains,especially in smaller grain varieties possessing loss-function mutations.Overexpression of GS10 in Nipponbare results in increasing grain length,grain weight and improve the appearance quality of rice.GS10 encodes conserved protein with uncharacterized function.Furthermore,GS10 regulates the grain size by interacting OsBRICK1,a subunit of the WAVE complex that governs actin nucleation and affects the assembly of microfilaments in rice.Together,our study demonstrates that,GS10 positively regulates the grain length and grain weight,which is beneficial for further improvements in yield characteristics.展开更多
Rice grain size and chalkiness are important traits that influence grain yield and quality,respectively.Mining of genes for grain yield and appearance quality and clarification of their action modes are of great impor...Rice grain size and chalkiness are important traits that influence grain yield and quality,respectively.Mining of genes for grain yield and appearance quality and clarification of their action modes are of great importance in rice breeding.In this study,a rice protein disulfide isomerase-like enzyme PDIL2-3 was characterized.Expression analysis revealed that PDIL2-3 was highly expressed in endosperm and spikelet hulls.The PDIL2-3-cri lines generated by CRISPR/Cas9 technology exhibited a chalky grain phenotype with altered storage substance accumulation and increased grain size and weight,whereas exactly opposite results were obtained for PDIL2-3 overexpression lines.Cytological experiments revealed that PDIL2-3-cri increased rice seed length mainly by increasing the cell number and rice seed width mainly by increasing the cell size in grains,implying that PDIL2-3 regulates the grain size by influencing both cell division and expansion of spikelet hulls.Further flow cytometric analysis validated that PDIL2-3 has a negative effect on cell proliferation,preventing DNA duplication and cell division in spikelet hulls.Moreover,q RT-PCR results showed that the expression levels of genes related to cell cycle and storage substance synthesis were significantly changed in PDIL2-3-cri transgenic lines.Thus,our results indicated that PDIL2-3 plays a pivotal role in influencing grain size and quality of rice by affecting cell division/expansion and storage substance accumulation,providing new insights into the function of PDIL family members in rice and enriching the genetic resources for rice breeding.展开更多
Accurate and robust detection of wax appearance(a medium-to high-molecular-weight component of crude oil)is crucial for the efficient operation of hydrocarbon transportation.The wax appearance temperature(WAT)is the l...Accurate and robust detection of wax appearance(a medium-to high-molecular-weight component of crude oil)is crucial for the efficient operation of hydrocarbon transportation.The wax appearance temperature(WAT)is the lowest temperature at which the wax begins to form.When crude oil cools to its WAT,wax crystals precipitate,forming deposits on pipelines as the solubility limit is reached.Therefore,WAT is a crucial quality assurance parameter,especially when dealing with modern fuel oil blends.In this study,we use machine learning via MATLAB’s Bioinformatics Toolbox to predict the WAT of marine fuel samples by correlating near-infrared spectral data with laboratory-measured values.The dataset provided by Intertek PLC-a total quality assurance provider of inspection,testing,and certification services-includes industrial data that is imbalanced,with a higher proportion of high-WAT samples compared to low-WAT samples.The objective is to predict marine fuel oil blends with unusually high WAT values(>35℃)without relying on time-consuming and irregular laboratory-based measurements.The results demonstrate that the developed model,based on the one-class support vector machine(OCSVM)algorithm,achieved a Recall of 96,accurately predicting 96%of fuel samples with WAT>35℃.For standard binary classification,the Recall was 85.7.The trained OCSVM model is expected to facilitate rapid and well-informed decision-making for logistics and storage when choosing fuel oils.展开更多
The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as ill...The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as illumination changes and different viewing angles. For the Lab model that describes the global information of observations, a sorted nearest neighbor clustering method is proposed for color clustering and then a partitioned color matching method is used to calculate the color similarity between observations. The Bhattacharya distance is employed for the textural similarity calculation of the EHOG which describes the local information. The global information, which is robust to different viewing angles and scale changes, describes the observations well. Meanwhile, the use of local information, which is robust to illumination changes, can strengthen the discriminative ability of the method. The integration of global and local information improves the accuracy and robustness of the proposed matching approach. Experiments are carried out indoors, and the results show a high matching accuracy of the proposed method.展开更多
With changing rural architectural environment as the focus of new rural construction, the paper had pointed out it was lack of researches on color planning of overall structures in new countryside. On this basis, by m...With changing rural architectural environment as the focus of new rural construction, the paper had pointed out it was lack of researches on color planning of overall structures in new countryside. On this basis, by making use of relevant softwares, it had conducted color abstraction on current typical rural appearance; analyzed the color of rural nature, artificial environment and cultural environment in accordance with international standard of Natural Color System; and then concluded color context of rural appearance. It proposed that color control could be conducted on rural appearance from macroscopic, medium and microcosmic perspective by taking advantage of color planning in new rural appearance construction, so as to build a new rural color system, create modern new rural appearance reflecting regional characteristic and integrating with the natural environment, preserve artificial color of traditional ancient villages, coordinate colors in villages with architectures of different ages, finally realizing reshaping of Chinese people's spiritual hometown.展开更多
文摘Background:Depression is prevalent among female college students,with eating behavior potentially related to this issue.This study examines the relationship between eating behavior and depression,focusing on the role of social appearance anxiety and physical activity.Methods:We recruited 2161 female college students from nine universities in China via convenience sampling.Data was collected via an online questionnaire.Eating behavior was assessed via the Eating Behavior Scale short form(EBS-SF),depression was measured via the Center for Epidemiological Studies Depression Scale(CES-D),social appearance anxiety was evaluated via the Social Appearance Anxiety Scale,and physical activity was assessed via a single-item question.Descriptive statistics were analyzed via SPSS 26.0,and moderated mediation analysis was conducted via PROCESS version 3.5.Results:Unhealthy eating behavior was significantly associated with higher levels of depression(β=0.285,p<0.001).Social appearance anxiety mediated this relationship,accounting for 46%of the total effect(β=0.132,95%CI=[0.108,0.158]).The interaction effect between eating behavior and physical activity was significantly and negatively correlated with depression(β=−0.052,p<0.01).The association between eating behavior and depression was stronger under conditions of low physical activity(β=0.210,p<0.001)than under conditions of high physical activity(β=0.105,p<0.001).Conclusions:Integrating nutritional guidance,body image acceptance training,and exercise promotion into campus mental health programs is crucial for addressing depression in female college students.Future research should use longitudinal designs and broader participant ranges to increase the general applicability of the findings.
文摘Multi-Object Tracking(MOT)represents a fundamental but computationally demanding task in computer vision,with particular challenges arising in occluded and densely populated environments.While contemporary tracking systems have demonstrated considerable progress,persistent limitations—notably frequent occlusion-induced identity switches and tracking inaccuracies—continue to impede reliable real-world deployment.This work introduces an advanced tracking framework that enhances association robustness through a two-stage matching paradigm combining spatial and appearance features.Proposed framework employs:(1)a Height Modulated and Scale Adaptive Spatial Intersection-over-Union(HMSIoU)metric for improved spatial correspondence estimation across variable object scales and partial occlusions;(2)a feature extraction module generating discriminative appearance descriptors for identity maintenance;and(3)a recovery association mechanism for refining matches between unassociated tracks and detections.Comprehensive evaluation on standard MOT17 and MOT20 benchmarks demonstrates significant improvements in tracking consistency,with state-of-the-art performance across key metrics including HOTA(64),MOTA(80.7),IDF1(79.8),and IDs(1379).These results substantiate the efficacy of our Cue-Tracker framework in complex real-world scenarios characterized by occlusions and crowd interactions.
基金supported by Projects of International Cooperation NSFC(31961143016,31101203)Guizhou Provincial Science and Technology Projects(QKHJC-ZK[2022]YB537)+4 种基金the Fundamental Research Funds of Central Public Welfare Research Institutions(CPSIBRF-CNRRI-202102,Y2020YJ17)Independent Project of State Key Laboratory of Rice Biology(2020Z2KT10201)High-quality and Resistant Hybrid Rice Germplasm Creation and New Varieties Development with International Competitiveness(2022KJCX45,YBXM2437)Zhejiang Provincial Science and Technology Projects(2022R51009)Inner Mongolia Breeding Joint Research Project(YZ2023004).
文摘Rice grain size is a primary characteristic essential for artificial domestication and breeding,governed by grain length,width,and thickness.In this study,we cloned Grain Size 10(GS10),a novel gene via mapbased cloning.Biochemical,molecular,and genetic studies were performed to elucidate the GS10 involved grain size mechanism in rice.Mutant of GS10 lead to reduced grain size due to alterations in cell expansion.Additionally,GS10 is responsible for the formation of notched-belly grains,especially in smaller grain varieties possessing loss-function mutations.Overexpression of GS10 in Nipponbare results in increasing grain length,grain weight and improve the appearance quality of rice.GS10 encodes conserved protein with uncharacterized function.Furthermore,GS10 regulates the grain size by interacting OsBRICK1,a subunit of the WAVE complex that governs actin nucleation and affects the assembly of microfilaments in rice.Together,our study demonstrates that,GS10 positively regulates the grain length and grain weight,which is beneficial for further improvements in yield characteristics.
基金supported in part by grants from the National Natural Science Foundation of China(32472141,32101746,and 32102231)Natural Science Foundation of Hubei Province(JCZRLH202500540,2021CFB033,and 2022CFB393)。
文摘Rice grain size and chalkiness are important traits that influence grain yield and quality,respectively.Mining of genes for grain yield and appearance quality and clarification of their action modes are of great importance in rice breeding.In this study,a rice protein disulfide isomerase-like enzyme PDIL2-3 was characterized.Expression analysis revealed that PDIL2-3 was highly expressed in endosperm and spikelet hulls.The PDIL2-3-cri lines generated by CRISPR/Cas9 technology exhibited a chalky grain phenotype with altered storage substance accumulation and increased grain size and weight,whereas exactly opposite results were obtained for PDIL2-3 overexpression lines.Cytological experiments revealed that PDIL2-3-cri increased rice seed length mainly by increasing the cell number and rice seed width mainly by increasing the cell size in grains,implying that PDIL2-3 regulates the grain size by influencing both cell division and expansion of spikelet hulls.Further flow cytometric analysis validated that PDIL2-3 has a negative effect on cell proliferation,preventing DNA duplication and cell division in spikelet hulls.Moreover,q RT-PCR results showed that the expression levels of genes related to cell cycle and storage substance synthesis were significantly changed in PDIL2-3-cri transgenic lines.Thus,our results indicated that PDIL2-3 plays a pivotal role in influencing grain size and quality of rice by affecting cell division/expansion and storage substance accumulation,providing new insights into the function of PDIL family members in rice and enriching the genetic resources for rice breeding.
基金Newcastle University and EPSRC(Grant No.2020/21 DTP:ref.EP/T517914/1).
文摘Accurate and robust detection of wax appearance(a medium-to high-molecular-weight component of crude oil)is crucial for the efficient operation of hydrocarbon transportation.The wax appearance temperature(WAT)is the lowest temperature at which the wax begins to form.When crude oil cools to its WAT,wax crystals precipitate,forming deposits on pipelines as the solubility limit is reached.Therefore,WAT is a crucial quality assurance parameter,especially when dealing with modern fuel oil blends.In this study,we use machine learning via MATLAB’s Bioinformatics Toolbox to predict the WAT of marine fuel samples by correlating near-infrared spectral data with laboratory-measured values.The dataset provided by Intertek PLC-a total quality assurance provider of inspection,testing,and certification services-includes industrial data that is imbalanced,with a higher proportion of high-WAT samples compared to low-WAT samples.The objective is to predict marine fuel oil blends with unusually high WAT values(>35℃)without relying on time-consuming and irregular laboratory-based measurements.The results demonstrate that the developed model,based on the one-class support vector machine(OCSVM)algorithm,achieved a Recall of 96,accurately predicting 96%of fuel samples with WAT>35℃.For standard binary classification,the Recall was 85.7.The trained OCSVM model is expected to facilitate rapid and well-informed decision-making for logistics and storage when choosing fuel oils.
基金The National Natural Science Foundation of China(No.60972001)the Science and Technology Plan of Suzhou City(No.SG201076)
文摘The integration of the Lab model with the extended histogram of oriented gradients （EHOG） is proposed to improve the accuracy of human appearance matching across disjoint camera views under perturbations such as illumination changes and different viewing angles. For the Lab model that describes the global information of observations, a sorted nearest neighbor clustering method is proposed for color clustering and then a partitioned color matching method is used to calculate the color similarity between observations. The Bhattacharya distance is employed for the textural similarity calculation of the EHOG which describes the local information. The global information, which is robust to different viewing angles and scale changes, describes the observations well. Meanwhile, the use of local information, which is robust to illumination changes, can strengthen the discriminative ability of the method. The integration of global and local information improves the accuracy and robustness of the proposed matching approach. Experiments are carried out indoors, and the results show a high matching accuracy of the proposed method.
文摘With changing rural architectural environment as the focus of new rural construction, the paper had pointed out it was lack of researches on color planning of overall structures in new countryside. On this basis, by making use of relevant softwares, it had conducted color abstraction on current typical rural appearance; analyzed the color of rural nature, artificial environment and cultural environment in accordance with international standard of Natural Color System; and then concluded color context of rural appearance. It proposed that color control could be conducted on rural appearance from macroscopic, medium and microcosmic perspective by taking advantage of color planning in new rural appearance construction, so as to build a new rural color system, create modern new rural appearance reflecting regional characteristic and integrating with the natural environment, preserve artificial color of traditional ancient villages, coordinate colors in villages with architectures of different ages, finally realizing reshaping of Chinese people's spiritual hometown.
