Recognizing the importance of personal narratives in general and in the field of teacher training in particular this paper first presents a review of research in the field, offers several definitions and theories of a...Recognizing the importance of personal narratives in general and in the field of teacher training in particular this paper first presents a review of research in the field, offers several definitions and theories of analysis, and then provides readers with the personal narratives and the analyses of three fourth-year students in the Department of English at a College for Teacher Training. The goal is to find out, learn, and make use of the voices, attitudes, experiences, visions, successes, failures, hopes, and frustrations of students engaged in teacher education. The conclusion asserts the necessity of adopting a model of training which is based on students＇ personal narratives--one which encourages and strengthens partnership between students cooperating teachers, and academics展开更多
The emergence of generative artificial intelligence(AI)has had a huge impact on all areas of life,including the field of education.AI can assist teachers in cultivating talents and promoting personalized learning and ...The emergence of generative artificial intelligence(AI)has had a huge impact on all areas of life,including the field of education.AI can assist teachers in cultivating talents and promoting personalized learning and teaching,but it also prevents individuals from thinking independently and creatively.In the era of generative AI,the rapid development of technology and its significant impact on the field of education are inevitable.There are many educational issues related to it,such as teaching methods,student training goals,teaching philosophy and purposes,and other educational issues,that require re-conceptualization and review.展开更多
Existing unsupervised person re-identification approaches fail to fully capture thefine-grained features of local regions,which can result in people with similar appearances and different identities being assigned the...Existing unsupervised person re-identification approaches fail to fully capture thefine-grained features of local regions,which can result in people with similar appearances and different identities being assigned the same label after clustering.The identity-independent information contained in different local regions leads to different levels of local noise.To address these challenges,joint training with local soft attention and dual cross-neighbor label smoothing(DCLS)is proposed in this study.First,the joint training is divided into global and local parts,whereby a soft attention mechanism is proposed for the local branch to accurately capture the subtle differences in local regions,which improves the ability of the re-identification model in identifying a person’s local significant features.Second,DCLS is designed to progressively mitigate label noise in different local regions.The DCLS uses global and local similarity metrics to semantically align the global and local regions of the person and further determines the proximity association between local regions through the cross information of neighboring regions,thereby achieving label smoothing of the global and local regions throughout the training process.In extensive experiments,the proposed method outperformed existing methods under unsupervised settings on several standard person re-identification datasets.展开更多
This study has two main objectives: on one hand, the evaluation of food items related to the food training courses in order to know which ones require better explanations from trainers and a further development and re...This study has two main objectives: on one hand, the evaluation of food items related to the food training courses in order to know which ones require better explanations from trainers and a further development and refinement by food handlers. It is also a goal of this work to appreciate the level of general knowledge of food handlers before receive any training session and then see if there was some improvement after the course. On the other hand, identifying potential social and personal factors of food handlers that influence on the results of the evaluation. To this end, two tests were performed (one before the training and at the end) and evaluated the results per modules. In general, knowledge levels both initially and after taking the course proved to be satisfactory. Personal and social factors determined better or worse scores on the basis of these.展开更多
This paper presents a novel augmented reality(AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical skills.Surgical simulation with bimanual haptic interactio...This paper presents a novel augmented reality(AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical skills.Surgical simulation with bimanual haptic interaction is integrated in this work to provide a simulated environment for users to achieve holographic guidance for pre-operative training.To achieve the AR guidance,the simulator should precisely overlay the 3D anatomical information of the hidden target organs in the patients in real surgery.In this regard,the patient-specific anatomy structures are reconstructed from segmented brain magnetic resonance imaging.We propose a registration method for precise mapping of the virtual and real information.In addition,the simulator provides bimanual haptic interaction in a holographic environment to mimic real brain tumor resection.In this study,we conduct AR-based guidance validation and a user study on the developed simulator,which demonstrate the high accuracy of our AR-based neurosurgery simulator,as well as the AR guidance mode’s potential to improve neurosurgery by simplifying the operation,reducing the difficulty of the operation,shortening the operation time,and increasing the precision of the operation.展开更多
Background: Previous studies have demonstrated psychosocial and physical benefit from exercise for older men treated with androgen deprivation therapy (ADT) for prostate cancer (PCa). To date, different intervention d...Background: Previous studies have demonstrated psychosocial and physical benefit from exercise for older men treated with androgen deprivation therapy (ADT) for prostate cancer (PCa). To date, different intervention delivery methods have not been assessed. This study compared the effect of group-based exercise (GBE) to personal training (PT) in men undergoing ADT for PCa. Methods: 13 participants (mean age = 68.2, SD = 7.2) were randomly assigned to GBE or PT for 8 weeks. Participants exercised for 60 minutes three times per week at a moderate-vigorous intensity. Results: 10 participants completed the intervention. At post-intervention, the PT group improved: fatigue, systolic BP, waist circumference, body fat percentage, and maximal leg strength;participants in the GBE group improved leg strength. At 8 weeks, maximal upper body strength in the PT group was greater than the GBE group. There were no adverse events associated with moderate-high intensity training in this population of older men. Conclusion: PT may be more efficacious than GBE in improving several physical fitness outcomes and fatigue in men with PCa who are androgen deprived. Due to the small sample size and attrition, these results require cautious interpretation and confirmation from adequately powered trials.展开更多
针对当前无监督行人重识别方法因受到硬件差异、光照变化等客观因素的影响,导致同一行人图像出现较大反差,随之易带来样本错误伪标签生成的问题,使得现有无监督行人重识别方法还有待进一步提升的空间。为了解决此问题,提出了一种基于二...针对当前无监督行人重识别方法因受到硬件差异、光照变化等客观因素的影响,导致同一行人图像出现较大反差,随之易带来样本错误伪标签生成的问题,使得现有无监督行人重识别方法还有待进一步提升的空间。为了解决此问题,提出了一种基于二次重聚类的无监督行人重识别(unsupervised person re-identification based on quadratic clustering)方法。该方法主要包括全局二次聚类的无监督学习模块和基于聚类结果的有监督学习模块。具体来说,前者基于全局二次聚类分别对相机ID和行人身份ID进行无监督分析,解决了同一行人在不同摄像机视角下的统一成像风格问题;后者则采用有监督学习方式改进了内存字典的初始化与更新方式,解决了模型在训练中偏移的问题。通过此双模块的协同训练以共同抑制跨摄像头间采集的图像所产生错误伪标签的问题。所提出的算法分别在Market-1501、DukeMTMC-ReID、MSMT17、Person和VeRi-776数据集上进行实验,取得了mAP=81.2%和rank-1=91.2%、mAP=68.4%和rank-1=78.7%、mAP=31.1%和rank-1=60.4%、mAP=88.3%和rank-1=93.6%的性能,对比当前最先进的方法,分别提高了2.4、1.8、6.0、2.5和4.3个百分点的rank-1准确率。展开更多
文摘Recognizing the importance of personal narratives in general and in the field of teacher training in particular this paper first presents a review of research in the field, offers several definitions and theories of analysis, and then provides readers with the personal narratives and the analyses of three fourth-year students in the Department of English at a College for Teacher Training. The goal is to find out, learn, and make use of the voices, attitudes, experiences, visions, successes, failures, hopes, and frustrations of students engaged in teacher education. The conclusion asserts the necessity of adopting a model of training which is based on students＇ personal narratives--one which encourages and strengthens partnership between students cooperating teachers, and academics
文摘The emergence of generative artificial intelligence(AI)has had a huge impact on all areas of life,including the field of education.AI can assist teachers in cultivating talents and promoting personalized learning and teaching,but it also prevents individuals from thinking independently and creatively.In the era of generative AI,the rapid development of technology and its significant impact on the field of education are inevitable.There are many educational issues related to it,such as teaching methods,student training goals,teaching philosophy and purposes,and other educational issues,that require re-conceptualization and review.
基金supported by the National Natural Science Foundation of China under Grant Nos.62076117 and 62166026the Jiangxi Key Laboratory of Smart City under Grant No.20192BCD40002Jiangxi Provincial Natural Science Foundation under Grant No.20224BAB212011.
文摘Existing unsupervised person re-identification approaches fail to fully capture thefine-grained features of local regions,which can result in people with similar appearances and different identities being assigned the same label after clustering.The identity-independent information contained in different local regions leads to different levels of local noise.To address these challenges,joint training with local soft attention and dual cross-neighbor label smoothing(DCLS)is proposed in this study.First,the joint training is divided into global and local parts,whereby a soft attention mechanism is proposed for the local branch to accurately capture the subtle differences in local regions,which improves the ability of the re-identification model in identifying a person’s local significant features.Second,DCLS is designed to progressively mitigate label noise in different local regions.The DCLS uses global and local similarity metrics to semantically align the global and local regions of the person and further determines the proximity association between local regions through the cross information of neighboring regions,thereby achieving label smoothing of the global and local regions throughout the training process.In extensive experiments,the proposed method outperformed existing methods under unsupervised settings on several standard person re-identification datasets.
文摘This study has two main objectives: on one hand, the evaluation of food items related to the food training courses in order to know which ones require better explanations from trainers and a further development and refinement by food handlers. It is also a goal of this work to appreciate the level of general knowledge of food handlers before receive any training session and then see if there was some improvement after the course. On the other hand, identifying potential social and personal factors of food handlers that influence on the results of the evaluation. To this end, two tests were performed (one before the training and at the end) and evaluated the results per modules. In general, knowledge levels both initially and after taking the course proved to be satisfactory. Personal and social factors determined better or worse scores on the basis of these.
基金This study was funded by National Natural Science Foundation of China(No.61802385)Natural Science Foundation of Guangdong(No.2018A030313100)+1 种基金Shenzhen Science and Technology Program(Nos.JSGG20170414112714341 and JCYJ20170302153015013)Research Grants Council of the Hong Kong Special Administrative Region(No.14225616).
文摘This paper presents a novel augmented reality(AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical skills.Surgical simulation with bimanual haptic interaction is integrated in this work to provide a simulated environment for users to achieve holographic guidance for pre-operative training.To achieve the AR guidance,the simulator should precisely overlay the 3D anatomical information of the hidden target organs in the patients in real surgery.In this regard,the patient-specific anatomy structures are reconstructed from segmented brain magnetic resonance imaging.We propose a registration method for precise mapping of the virtual and real information.In addition,the simulator provides bimanual haptic interaction in a holographic environment to mimic real brain tumor resection.In this study,we conduct AR-based guidance validation and a user study on the developed simulator,which demonstrate the high accuracy of our AR-based neurosurgery simulator,as well as the AR guidance mode’s potential to improve neurosurgery by simplifying the operation,reducing the difficulty of the operation,shortening the operation time,and increasing the precision of the operation.
文摘Background: Previous studies have demonstrated psychosocial and physical benefit from exercise for older men treated with androgen deprivation therapy (ADT) for prostate cancer (PCa). To date, different intervention delivery methods have not been assessed. This study compared the effect of group-based exercise (GBE) to personal training (PT) in men undergoing ADT for PCa. Methods: 13 participants (mean age = 68.2, SD = 7.2) were randomly assigned to GBE or PT for 8 weeks. Participants exercised for 60 minutes three times per week at a moderate-vigorous intensity. Results: 10 participants completed the intervention. At post-intervention, the PT group improved: fatigue, systolic BP, waist circumference, body fat percentage, and maximal leg strength;participants in the GBE group improved leg strength. At 8 weeks, maximal upper body strength in the PT group was greater than the GBE group. There were no adverse events associated with moderate-high intensity training in this population of older men. Conclusion: PT may be more efficacious than GBE in improving several physical fitness outcomes and fatigue in men with PCa who are androgen deprived. Due to the small sample size and attrition, these results require cautious interpretation and confirmation from adequately powered trials.
文摘针对当前无监督行人重识别方法因受到硬件差异、光照变化等客观因素的影响,导致同一行人图像出现较大反差,随之易带来样本错误伪标签生成的问题,使得现有无监督行人重识别方法还有待进一步提升的空间。为了解决此问题,提出了一种基于二次重聚类的无监督行人重识别(unsupervised person re-identification based on quadratic clustering)方法。该方法主要包括全局二次聚类的无监督学习模块和基于聚类结果的有监督学习模块。具体来说,前者基于全局二次聚类分别对相机ID和行人身份ID进行无监督分析,解决了同一行人在不同摄像机视角下的统一成像风格问题;后者则采用有监督学习方式改进了内存字典的初始化与更新方式,解决了模型在训练中偏移的问题。通过此双模块的协同训练以共同抑制跨摄像头间采集的图像所产生错误伪标签的问题。所提出的算法分别在Market-1501、DukeMTMC-ReID、MSMT17、Person和VeRi-776数据集上进行实验,取得了mAP=81.2%和rank-1=91.2%、mAP=68.4%和rank-1=78.7%、mAP=31.1%和rank-1=60.4%、mAP=88.3%和rank-1=93.6%的性能,对比当前最先进的方法,分别提高了2.4、1.8、6.0、2.5和4.3个百分点的rank-1准确率。
