化工科研实验室因学科特性,科研人员在开展研发工作时面临一定安全风险。如何保障实验室科研环境安全、消除潜在安全隐患,是值得深入探讨的问题。Lab Take Two是一种行为安全管理模式,即利用较短时间思考即将开展工作的计划、安全风险...化工科研实验室因学科特性,科研人员在开展研发工作时面临一定安全风险。如何保障实验室科研环境安全、消除潜在安全隐患,是值得深入探讨的问题。Lab Take Two是一种行为安全管理模式,即利用较短时间思考即将开展工作的计划、安全风险及潜在问题,并针对发现的安全风险和潜在问题采取相应控制手段,以消除实验室潜在安全隐患,属于实验室行为安全理论。通过实施Lab Take Two行为安全管理,可引导员工主动发现实验室潜在安全隐患,有效降低实验室风险,减少科研实验室未遂事件和事故,为化工科研工作提供有力保障。展开更多
BACKGROUND Orthopaedic surgical education has traditionally depended on the apprenticeship model of“see one,do one,teach one”.However,reduced operative exposure,stricter work-hour regulations,medicolegal constraints...BACKGROUND Orthopaedic surgical education has traditionally depended on the apprenticeship model of“see one,do one,teach one”.However,reduced operative exposure,stricter work-hour regulations,medicolegal constraints,and patient safety concerns have constrained its practicality.Simulation-based training has become a reliable,safe,and cost-efficient alternative.Dry lab techniques,especially virtual and augmented reality,make up 78%of current dry lab research,whereas wet labs still set the standard for anatomical realism.AIM To evaluate the effectiveness,limitations,and future directions of wet and dry lab simulation in orthopaedic training.METHODS A scoping review was carried out across four databases-PubMed,Cochrane Library,Web of Science,and EBSCOhost-up to 2025.Medical Subject Headings included:"Orthopaedic Education","Wet Lab","Dry Lab","Simulation Training","Virtual Reality",and"Surgical Procedure".Eligible studies focused on orthopaedic or spinal surgical education,employed wet or dry lab techniques,and assessed training effectiveness.Exclusion criteria consisted of non-English publications,abstracts only,non-orthopaedic research,and studies unrelated to simulation.Two reviewers independently screened titles,abstracts,and full texts,resolving discrepancies with a third reviewer.RESULTS From 1851 records,101 studies met inclusion:78 on dry labs,7 on wet labs,4 on both.Virtual reality(VR)simulations were most common,with AI increasingly used for feedback and assessment.Cadaveric training remains the gold standard for accuracy and tactile feedback,while dry labs-especially VR-offer scalability,lower cost(40%-60%savings in five studies),and accessibility for novices.Senior residents prefer wet labs for complex tasks;juniors favour dry labs for basics.Challenges include limited transferability data,lack of standard outcome metrics,and ethical concerns about cadaver use and AI assessment.CONCLUSION Wet and dry labs each have unique strengths in orthopaedic training.A hybrid approach combining both,supported by standardised assessments and outcome studies,is most effective.Future efforts should aim for uniform reporting,integrating new technologies,and policy support for hybrid curricula to enhance skills and patient care.展开更多
Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistica...Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistically informed breeding is urgently required.This review synthesizes current advances to propose a connected'pixels-to-genes-to-fields'framework,integrating early drought phenotyping,causal gene discovery,AI-assisted laboratory engineering,and field-scale validation.We first examine how multimodal monitoring platforms,from satellites and UAVs to in-field sensors,coupled with advanced AI models,enable early stress detection and predictive risk mapping.We then distill the complex mechanistic pathways of drought response,spanning perception(e.g.,OSCA,MSL),signaling(ROS,CLE-ABA),stomatal regulation,and epigenetic memory,into structured biological priors.These priors,we argue,are crucial for guiding graph-based AI in identifying high-confidence genetic intervention points.At the field scale,we survey strategies where AI integrates genotype,environment,and phenomics data to model genotype-by-environment interactions and optimize trials via digital twins.At the laboratory scale,we summarize the role of AI in accelerating the design-build-test cycle through precision CRISPR design,synthetic expression engineering,and automated phenotyping.Finally,we highlight critical translational challenges,emphasizing the need for standardized data sharing,explainable AI,and responsible governance to bridge these innovations into the development of scalable,drought-resilient crop varieties.展开更多
At a robot dining bar at the 2026 Zhongguancun Forum Annual Conference in Beijing,customers scanned a QR code to place an order.The system automatically split it into tasks for six robots from different companies work...At a robot dining bar at the 2026 Zhongguancun Forum Annual Conference in Beijing,customers scanned a QR code to place an order.The system automatically split it into tasks for six robots from different companies working in coordination.They made coffee,prepared candied hawthorn skewers,picked up food,and delivered it to the table.Without human intervention,a coffee-and-dessert set was served in just two minutes.Embodied intelligence,a frontier technology,is rapidly moving from the laboratory into industrial application.展开更多
数字化赋能教学已成为当前教学的新趋势,本文借助Earth Space Lab程序赋能“地球的运动”教学,帮助学生从本质上理解较为抽象的地理概念,同时,基于Earth Space Lab的教学不仅能实现学生对抽象概念的熟练掌握与灵活应用,促进作业质量与...数字化赋能教学已成为当前教学的新趋势,本文借助Earth Space Lab程序赋能“地球的运动”教学,帮助学生从本质上理解较为抽象的地理概念,同时,基于Earth Space Lab的教学不仅能实现学生对抽象概念的熟练掌握与灵活应用,促进作业质量与学习效果显著提升,还能进一步提升学生学习兴趣、地理实践力与综合思维,促进其地理核心素养的培育。展开更多
Remembrance activities can support the Culture of Care(CoC)in Laboratory Animal Science(LAS)not only by promoting a culture of respect,gratitude and thankfulness for animal life but also by helping the emotional proce...Remembrance activities can support the Culture of Care(CoC)in Laboratory Animal Science(LAS)not only by promoting a culture of respect,gratitude and thankfulness for animal life but also by helping the emotional processing and healing of lab animal researchers and animal facility staff.Even though remembrance activities are practiced in many parts of the world,we did not come across any reported cases in Sri Lanka before 2022.Therefore,here,we report on the various remembrance activities and practices observed within our local scientific community.展开更多
摘要化工科研实验室因学科特性,科研人员在开展研发工作时面临一定安全风险。如何保障实验室科研环境安全、消除潜在安全隐患,是值得深入探讨的问题。Lab Take Two是一种行为安全管理模式,即利用较短时间思考即将开展工作的计划、安全风险及潜在问题,并针对发现的安全风险和潜在问题采取相应控制手段,以消除实验室潜在安全隐患,属于实验室行为安全理论。通过实施Lab Take Two行为安全管理,可引导员工主动发现实验室潜在安全隐患,有效降低实验室风险,减少科研实验室未遂事件和事故,为化工科研工作提供有力保障。
摘要BACKGROUND Orthopaedic surgical education has traditionally depended on the apprenticeship model of“see one,do one,teach one”.However,reduced operative exposure,stricter work-hour regulations,medicolegal constraints,and patient safety concerns have constrained its practicality.Simulation-based training has become a reliable,safe,and cost-efficient alternative.Dry lab techniques,especially virtual and augmented reality,make up 78%of current dry lab research,whereas wet labs still set the standard for anatomical realism.AIM To evaluate the effectiveness,limitations,and future directions of wet and dry lab simulation in orthopaedic training.METHODS A scoping review was carried out across four databases-PubMed,Cochrane Library,Web of Science,and EBSCOhost-up to 2025.Medical Subject Headings included:"Orthopaedic Education","Wet Lab","Dry Lab","Simulation Training","Virtual Reality",and"Surgical Procedure".Eligible studies focused on orthopaedic or spinal surgical education,employed wet or dry lab techniques,and assessed training effectiveness.Exclusion criteria consisted of non-English publications,abstracts only,non-orthopaedic research,and studies unrelated to simulation.Two reviewers independently screened titles,abstracts,and full texts,resolving discrepancies with a third reviewer.RESULTS From 1851 records,101 studies met inclusion:78 on dry labs,7 on wet labs,4 on both.Virtual reality(VR)simulations were most common,with AI increasingly used for feedback and assessment.Cadaveric training remains the gold standard for accuracy and tactile feedback,while dry labs-especially VR-offer scalability,lower cost(40%-60%savings in five studies),and accessibility for novices.Senior residents prefer wet labs for complex tasks;juniors favour dry labs for basics.Challenges include limited transferability data,lack of standard outcome metrics,and ethical concerns about cadaver use and AI assessment.CONCLUSION Wet and dry labs each have unique strengths in orthopaedic training.A hybrid approach combining both,supported by standardised assessments and outcome studies,is most effective.Future efforts should aim for uniform reporting,integrating new technologies,and policy support for hybrid curricula to enhance skills and patient care.
基金supported by the National Natural Science Foundation of China(32271913)the National Tropical Agriculture Science and Technology Innovation Project for the Chinese Academy of Tropical Agricultural Sciences(CATAS202617)the Project of State Key Laboratory of Tropical Crop Breeding(NKLTCBZRJJ6).
摘要Drought stands as the foremost abiotic constraint on global crop productivity.With climate change increasing the frequency and severity of drought events,a paradigm shift toward faster,more predictive,and mechanistically informed breeding is urgently required.This review synthesizes current advances to propose a connected'pixels-to-genes-to-fields'framework,integrating early drought phenotyping,causal gene discovery,AI-assisted laboratory engineering,and field-scale validation.We first examine how multimodal monitoring platforms,from satellites and UAVs to in-field sensors,coupled with advanced AI models,enable early stress detection and predictive risk mapping.We then distill the complex mechanistic pathways of drought response,spanning perception(e.g.,OSCA,MSL),signaling(ROS,CLE-ABA),stomatal regulation,and epigenetic memory,into structured biological priors.These priors,we argue,are crucial for guiding graph-based AI in identifying high-confidence genetic intervention points.At the field scale,we survey strategies where AI integrates genotype,environment,and phenomics data to model genotype-by-environment interactions and optimize trials via digital twins.At the laboratory scale,we summarize the role of AI in accelerating the design-build-test cycle through precision CRISPR design,synthetic expression engineering,and automated phenotyping.Finally,we highlight critical translational challenges,emphasizing the need for standardized data sharing,explainable AI,and responsible governance to bridge these innovations into the development of scalable,drought-resilient crop varieties.
摘要At a robot dining bar at the 2026 Zhongguancun Forum Annual Conference in Beijing,customers scanned a QR code to place an order.The system automatically split it into tasks for six robots from different companies working in coordination.They made coffee,prepared candied hawthorn skewers,picked up food,and delivered it to the table.Without human intervention,a coffee-and-dessert set was served in just two minutes.Embodied intelligence,a frontier technology,is rapidly moving from the laboratory into industrial application.
摘要数字化赋能教学已成为当前教学的新趋势,本文借助Earth Space Lab程序赋能“地球的运动”教学,帮助学生从本质上理解较为抽象的地理概念,同时,基于Earth Space Lab的教学不仅能实现学生对抽象概念的熟练掌握与灵活应用,促进作业质量与学习效果显著提升,还能进一步提升学生学习兴趣、地理实践力与综合思维,促进其地理核心素养的培育。
摘要Remembrance activities can support the Culture of Care(CoC)in Laboratory Animal Science(LAS)not only by promoting a culture of respect,gratitude and thankfulness for animal life but also by helping the emotional processing and healing of lab animal researchers and animal facility staff.Even though remembrance activities are practiced in many parts of the world,we did not come across any reported cases in Sri Lanka before 2022.Therefore,here,we report on the various remembrance activities and practices observed within our local scientific community.