Evaluation of the McGill‐Tongji Blended Education Program for Teacher Leaders in General Practice:The importance of partnership and contextualization in International Primary Care Training Initiatives

Purpose:Strong primary health care(PHC)systems require well‐established PHC education systems to enhance the skills of general practitioners(GPs).However,the literature on the experiences of international collaboration in primary care education in low‐and middle‐income countries remains limited.The purpose of this study was to evaluate the implementation and perceived impact of the McGill‐Tongji Blended Education Program for Teacher Leaders in General Practice(referred to as the“Tongji Program”).Methods:In 2020–2021,the McGill Department of Family Medicine(Montreal,Canada)and Tongji University School of Medicine(TUSM,Shanghai,China)jointly implemented the Tongji Program in Shanghai,China to improve the teaching capacity of PHC teachers.We conducted an exploratory longitudinal case study with a mixed methods design for the evaluation.Quantitative(QUAN)data was collected through questionnaire surveys and qualitative(QUAL)data was collected through focus group discussions.Results:The evaluation showed that learners in Tongji Program were primarily female GPs(21/22,95%)with less than 4 years of experience in teaching(16/22,73%).This program was considered a successful learning experience by most participants(19/22,86%)with higher order learning tasks such as critical thinking and problem‐solving.They also agreed that this program helped them feel more prepared to teach(21/22,95%),and developed a positive attitude toward primary care(21/22,95%).The QUAL interview revealed that both the Tongji and McGill organizers noted that TUSM showed strong leadership in organization,education,and coordination.Both students and teachers agreed that by adapting training content into contextualized delivery formats and settings,the Tongji Program successfully overcame language and technology barriers.Conclusions:Committed partnerships and contextualization were key to the success of the Tongji Program.Future research should focus on how international primary care education programs affect learners'behavior in their practice settings,and explore barriers and facilitators to change.

基于Contextual Transformer的自动驾驶单目3D目标检测

针对当前单目3D目标检测中存在的漏检和多尺度目标检测效果不佳的问题,提出了一种基于Contextual Transformer的自动驾驶单目3D目标检测算法(CM-RTM3D)。在ResNet-50网络中引入Contextual Transformer(CoT),构建ResNet-Transformer架构以提取特征。设计多尺度空间感知模块(MSP),通过尺度空间响应操作改善浅层特征的丢失情况,嵌入沿水平和竖直两个空间方向的坐标注意力机制(CA),使用softmax函数生成各尺度的重要性软权重。在偏移损失中采用Huber损失函数代替L1损失函数。实验结果表明:在KITTI自动驾驶数据集上,相较于RTM3D算法,该算法在简单、中等、困难三个难度级别下,AP3D分别提升了4.84、3.82、5.36个百分点,APBEV分别提升了4.75、6.26、3.56个百分点。

Resilience, the 6th Vital Sign: Conceptualizing, Contextualizing, and Operationalizing All Six Vital Signs

There are five vital signs that healthcare providers assess: temperature, pulse, respiration, blood pressure, and pain. Normal levels for the five vital signs are published by the American Heart Association, and other specialty organizations, however, the sixth vital sign (resilience) which adopts the measure of immune resilience is suggested in this paper. Resilience is the ability of the immune system to respond to attacks and defend effectively against infections and inflammatory stressors, and psychological resilience is the capacity to resist, adapt, recover, thrive, and grow from a challenge or a stressor. Individuals with better optimal immune resilience had better health outcomes than those with minimal immune resilience. The purpose of this paper is to conceptualize, contextualize, and operationalize all six vital signs. We suggest measuring resilience subjectively and objectively. Subjectively, use a 5-item guided interview revised from the Connor-Davidson Resilience Scale (CDRC), a scale of 10 items. The revised CDRC scale is a 5-item scale. The scale is rated on a 5-point Likert scale from 0 (not true) to 4 (true all the time). The total score ranges from 0 to 20, with higher total scores indicating greater resilience. The scale demonstrated good construct validity and internal consistency (α = 0.85) during the development of the scale. The CD-RISC had a good Cronbach’s alpha level of 0.85. The Revised CD-RISC can be completed in 2 - 4 minutes. To measure resilience objectively, we suggest using Immune Resilience (IR) levels, the level of resilience to preserve and/or rapidly restore immune resilience functions that promote disease resistance and control inflammation and other inflammatory stress. IR levels are gauged with two peripheral blood metrics that quantify the balance between CD8 and CD4 T-cell levels and gene expression signatures tracking longevity-associated immunocompetence and mortality- or entropy-associated inflammation. IR deregulation is potentially reversible by decreasing inflammatory stress. IR metrics and mechanisms have utility as vital signs and biomarkers for measuring immune health and improving health outcomes.

融合MobileNet与Contextual Transformer的人脸识别研究

FaceNet作为人脸识别的一大跨越,以其高精度、低硬件配置等优势被广泛应用于各个人脸识别相关领域。本文开源了首个餐厅支付场景下的中国人脸数据集CN-Face,该数据集拥有13000人的人脸图像,总计100000张。此外,本文以CA-SIA-WebFace作为训练集,利用改进后的MobileNet主干网络,采取不同的注意力机制添加方法,改变激活函数并且融入Contextual Transformer模块,大大降低了参数量和识别速度,显著提升了人脸识别精度。相较于原版FaceNet,在LFW测试集下,准确率达到98.79%,提升了2.74%,在CN-Face数据集中准确率达到95.22%,提升了1.35%。

IMPACT de la déprivation sociale sur les difficultés psychosociales au décours d’un cancer pédiatrique:uneétude prospective IMPACT of the Social Deprivation on Psychosocial Difficulties of Pediatric Cancer Survivors:A Prospective Study

The posttreatment period is a key part of the management of pediatric cancer.During this time,school and psychological difficulties have been described in childhood cancer survivors(CCS)and can be prognostic for the success of social reintegration.This study estimated the influence of the household’s socioeconomic status(SES)on these psychosocial difficulties.This study is based on a prospective multicentric database and focused on children who received a psychosocial evaluation during their follow-up from 2013 to 2020.We retrieved data on school and psychological difficulties.Household SES was estimated by a social deprivation score.Data from1003 patients were analyzed.School difficulties were noted in 22%of CCS.A greater social deprivation was significantly associated with school difficulty.Tumor relapse,treatment with hematopoietic stem cell transplantation,and central nervous system(CNS)tumors remained significant risk factors.In the subgroup of CNS tumors,school difficulties were increased and associated with greater social deprivation.Psychological difficulties were not associated with the deprivation score.There is a link between SES and school difficulties in CCS.Further investigations should be carried out for children with CNS tumors,which is the population of the greatest concern.

面向船闸船舶的在线多目标跟踪技术研究

目的 满足船闸船舶在线跟踪要求,改善由于复杂背景、遮挡等因素导致轨迹不连续和身份变更的问题,提出一种增强上下文联系和上下文注意力的多目标跟踪方法。方法 基于设计的在线系统,采集连续帧图像,改进FairMOT多目标跟踪模型。首先,通过在骨干网络设计基于Bottleneck和Contextual Transformer的上下文建模模块,以加强上下文联系,增强场景理解的能力。其次,在迭代聚合后的特征图上应用全局上下文注意力,提高定位船舶目标的能力。结果 相对于原生的Fair MOT方法,设计上下文建模模块后,多目标跟踪准确度指标MOTA提高2.1%,继续添加全局上下文注意力MOTA,共计提高3.5%,同时在多项指标中取得了最佳表现。结论 改进的Fair MOT方法不仅拥有更强的轨迹保持能力,而且在身份维持方面更胜一筹。

Research on the Classification of Western Literary Criticism Under M. H. Abrams’Fourfold Model

This study explores the application of Abrams’Fourfold Model in the classification of Western literary criticism.Abrams’framework categorizes literary criticism into four fundamental elements:text,author,world,and audience.The text is viewed as an independent entity with intrinsic artistic value,necessitating a detailed analysis of its structure,style,themes,and symbols.Author study delves into the creator’s life and socio-cultural context,often to uncover the work’s deeper meanings.Contextual study situates the work within its historical and social milieu,examining its reflection of or response to societal norms and events.Audience response analysis considers the diverse interpretations shaped by readers’backgrounds,emphasizing the reader’s role in constructing the work’s meaning.The study concludes that Abrams’Fourfold Model offers a comprehensive and flexible analytical tool,enabling critics to engage with literary works from multiple perspectives,thereby enriching the understanding of literary complexity and diversity.

The Impact of Contextual Teaching Method on Sichuan Folk Song Education and Students’Musical Expressiveness

This study explores the application of the contextual teaching method in Sichuan folk song education and its impact on students’musical expressiveness.By incorporating contextual teaching methods in music classes,this research investigates the effectiveness of this approach in enhancing students’understanding of Sichuan folk songs and improving their musical expressiveness and emotional expression.A mixed-method research approach is employed,utilizing classroom observations,questionnaires,interviews,and statistical analysis to assess the practical outcomes of contextual teaching in folk song education.

Research on the Influence of Anchor Attributes on Consumers’Online Behaviors in Social E-Commerce Platforms:The Moderating Effect of Platform Contextual Factors

As e-commerce continues to mature,the advantages of live streaming within the industry have become increasingly apparent,offering significant growth opportunities.Social e-commerce platforms,which are user-centered,integrate social networks with e-commerce by leveraging social interactions to drive product sales and enhance the overall consumer shopping experience.This type of e-commerce fosters engagement and promotes products by merging online communities with shopping behavior,creating a more interactive and dynamic marketplace.It not only retains the traditional e-commerce trading and marketing functions but also adds a social dimension,making live stream anchors crucial figures connecting consumers with products.These anchors can attract consumers with their appearance and charm,and use their expertise on live streaming platforms to guide consumers by recommending live content.They can also interact with their audiences and potentially influence them to purchase the recommended goods.It is evident that the attributes of anchors in live streaming rooms significantly impact consumers’online behavior.Therefore,researching how platform contextual factors regulate consumers’online behavior is of great practical significance.This study employs multilevel regression analysis to support its hypotheses using data.The findings indicate that contextual factors of the platform significantly influence online behavior,enhancing the positive relationship between user attachment and online activities.

A Smart Multi-Sensor Approach to Monitoring Weak People in Indoor Environments

This paper deals with a novel system to assist weak people while exploring indoor environments. The proposed architecture is aimed to monitor the position and inertial behavior of users as well as environmental status (e.g. temperature, humidity, gases leakage, or smoke). The system is based on a Wireless Sensor Network and smart paradigms which extract relevant information from data collected through the multi-sensor architecture. The data collected are then processed to build awareness of User-Environment Interaction and User-Environment Contextualization. This knowledge is used to build information that is useful to the user for safe and efficient exploitation of the environment and to the supervisor for a suitable assessment and management of hazard situations. The paper mainly focuses on the multi-sensor system architecture and smart paradigms used to implement the User-Environment Contextualization feature.

Contextualizing Learner Autonomy in English Classrooms in China

The notion of learner autonomy has been widely acknowledged in the language teaching world.This study investigates the basic constructs and common issues associated with learner autonomy,including major models,teacher roles and underpinning language learning theories.With careful examination of dominating theories involved,this study provides a contextual analysis of its interpretation in Chinese mainland,followed by discussion based on observation of a classroom learning activity within the scope.In relation to the problems arising from the teaching reality,it makes further exploration to propose some suggestions for achieving autonomous learning in the Chinese context.

Context and Teaching of EFL Reading

Both linguistics and language teaching take language as their subject. Linguistics can provide language teaching with theories and language teaching can further prove the validity of linguistics. To some extent, linguistics is more theoretical while language teaching is more practical. Since linguistics is defined as the scientific study of language, it seems obvious that such a study would have direct relations to language teaching. This paper attempts to make an analysis of difference between Contextual theory of meaning and the teaching of EFL reading.

Insouciance学习任务答案与篇章讲解赏析

三期答案1.Explain the contextual meaning of the following words and expressions(highlighted in blue)in English.(1)insouciance(title)insouciance:Insouciance is lack of concern shown by someone about something which they might be expected to take more seriously.(2)peep,bridge(Para.2)a)peep:If you peep,or peep at something,you have a quick look at it,often secretly and quietly.

A Research on the Improvement of Pragmatic Competence in College English Teaching

A core issue in foreign language teaching is to foster actual competence of language learners to practically utilize language, which is called pragmatic competence. But compared with traditional linguistic competence, the levels of their pragmatic competence need to be further understood. Thus it is essential to make an investigation into this. From the investigation results it is expected to reveal from which aspects teachers and students should carry on in order to improve pragmatic competence and meet foreign language learning need in new age.

A Study on Translation of Chinese Culture-loaded Words from the Per-spective of Relevance Theory

The essay tends to analyze the translation of Chinese Culture-loaded words from the perspective of Relevance Theory.The theory gains its prominence by studying the translation process and transcending the conflicts between literal and free translation. It incorporates recent work in cognitive linguistics, with ostensive-inference as its key model. Under the influence of Relevance theory, the translation of culture-loaded words is reader-oriented. Translators are obliged to help target readers to establish new assumptions to achieve equivalent response.

Situated Cognition Theory and English Teaching under the Background of New Curriculum

Contextual Cognitive Theory （CCT） is the latest teaching and learning theory in west countries, which reveals the nature of knowledge in a new perspective as well as the conditions of meaningful learning. The concept based on CCT corresponds to the principles proposed by the new curriculum standard for English. Therefore, it has great implications for the reform of English teaching in the classroom. In this paper, the author gives a brief account of the main points of CCT, and then, she discusses its pedagogical implications for the construction of new teaching strategies in the classroom through designing and analyzing teaching cases.

Knowledge-based bridge detection from SAR images

Automatic bridge detection is an important application of SAR images. Differed from the classical CFAR method, a new knowledge-based bridge detection approach is proposed. The method not only uses the backscattering intensity difference between targets and background but also applies the contextual information and spatial relationship between objects. According to bridges＇ special characteristics and scattering properties in SAR images, the new knowledge-based method includes three processes： river segmentation, potential bridge areas detection and bridge discrimination. The application to AIRSAR data shows that the new method is not sensitive to rivers＇ shape. Moreover, this method can detect bridges successfully when river segmentation is not very exact and is more robust than the radius projection method.

Keyword Extraction for Contextual Advertising

Contextual advertising is a major revenue source for today＇s companies. Keyword extraction is a key step in this kind of advertising, through which appropriate advertising keywords are extracted from Web pages so that corresponding ads can be triggered. This paper describes a system that learns how to extract keywords from web pages for advertisement targeting. Firstly a text network for a single webpage is build, then PageRank is applied in the network to decide on the importance of a word, finally top-ranked words are selected as keywords of the webpage. The algorithm is tested on the corpus ofblog pages, and the experimental results prove practical and effective.

SSD Real-Time Illegal Parking Detection Based on Contextual Information Transmission

With the improvement of the national economic level,the number of vehicles is still increasing year by year.According to the statistics of National Bureau of Statics,the number is approximately up to 327 million in China by the end of 2018,which makes urban traffic pressure continues to rise so that the negative impact of urban traffic order is growing.Illegal parking-the common problem in the field of transportation security is urgent to be solved and traditional methods to address it are mainly based on ground loop and manual supervision,which may miss detection and cost much manpower.Due to the rapidly developing deep learning sweeping the world in recent years,object detection methods relying on background segmentation cannot meet the requirements of complex and various scenes on speed and precision.Thus,an improved Single Shot MultiBox Detector(SSD)based on deep learning is proposed in our study,we introduce attention mechanism by spatial transformer module which gives neural networks the ability to actively spatially transform feature maps and add contextual information transmission in specified layer.Finally,we found out the best connection layer in the detection model by repeated experiments especially for small objects and increased the precision by 1.5%than the baseline SSD without extra training cost.Meanwhile,we designed an illegal parking vehicle detection method by the improved SSD,reaching a high precision up to 97.3%and achieving a speed of 40FPS,superior to most of vehicle detection methods,will make contributions to relieving the negative impact of illegal parking.