Background:The mental health challenges faced by police officers due to high-stress work environments necessitate effective interventions.Cognitive-behavioral therapy(CBT)has shown promise in addressing mental health ...Background:The mental health challenges faced by police officers due to high-stress work environments necessitate effective interventions.Cognitive-behavioral therapy(CBT)has shown promise in addressing mental health issues,and this study aims to evaluate the efficacy of smartphone-based cognitive-behavioral therapy(SCBT)in improving mental health outcomes among police officers.This intervention could provide a reference for enhancing mental health literacy and resilience in this population.Methods:A randomized controlled trial(RCT)design was employed,involving 291 police officers who were randomly assigned to either the SCBT intervention group(n=145)or the control group(n=146).Participants completed pre-and post-intervention assessments using the Symptom Checklist-90(SCL-90),which measures multiple psychological symptoms including somatization,obsessive-compulsiveness,interpersonal sensitivity,depression,anxiety,hostility,phobic anxiety,paranoid ideation,and psychoticism.Statistical analyses were conducted to examine group differences in symptom severity and effect sizes.Results:Post-intervention results indicated significant reductions in somatization,obsessivecompulsiveness,interpersonal sensitivity,depression,anxiety,hostility,phobic anxiety,paranoid ideation,and psychoticism,with large effect sizes observed in the intervention group.Notably,the intervention group showed significantly greater improvements compared to the control group,particularly in overall psychological distress as measured by the total SCL-90 score.However,significant reductions in interpersonal sensitivity and paranoid ideation were also observed in the control group,suggesting external factors may have influenced these dimensions.Conclusion:SCBT demonstrated efficacy in reducing psychological distress among police officers,offering a flexible and accessible mental health intervention.However,challenges such as high dropout rates and the complex,dynamic nature of mental health warrant further investigation.Future studies should explore targeted interventions for specific behavioral issues and consider SCBT as a supplementary tool alongside traditional psychotherapy.展开更多
The role of point-of-care(POC)diagnostics is important in public health.With the support of smartphones,POC diagnostic technologies can be greatly improved.This opportunity has arisen from not only the large number an...The role of point-of-care(POC)diagnostics is important in public health.With the support of smartphones,POC diagnostic technologies can be greatly improved.This opportunity has arisen from not only the large number and fast spread of cell-phones across the world but also their improved imaging/diagnostic functions.As a tool,the smartphone is regarded as part of a compact,portable,and low-cost system for real-time POC,even in areas with few resources.By combining near-infrared(NIR)imaging,measurement,and spectroscopy techniques,pathogens can be detected with high sensitivity.The whole process is rapid,accurate,and low-cost,and will set the future trend for POC diagnostics.In this review,the development of smartphone-based NIR fluorescent imaging technology was described,and the quality and potential of POC applications were discussed.展开更多
The purpose of the paper is to analyse the effectiveness of a solution known as road condition tool(RCT)based on data crowdsourcing from smartphones users in the transport system.The tool developed by the author of th...The purpose of the paper is to analyse the effectiveness of a solution known as road condition tool(RCT)based on data crowdsourcing from smartphones users in the transport system.The tool developed by the author of the paper,enabling identification and assessment of road pavement defects by analysing the dynamics of vehicle motion in the road network.Transport system users equipped with a smartphone with the RCT mobile application on board record data of linear accelerations,speed,and vehicle location,and then,without any intervention,send them to the RCT server database in an aggregated form.The aggregated data are processed in the combined time and location criterion,and the road pavement condition assessment index is estimated for fixed 10 m long measuring sections.The measuring sections correspond to the sections of roads defined in the pavement management systems(PMS)used by municipal road infrastructure administration bodies.Both the research in question and the results obtained by the method proposed for purposes of the road pavement condition assessment were compared with a set of reference data of the road infrastructure administration body which conducted surveys using highly specialised measuring equipment.The results of this comparison,performed using binary classifiers,confirm the potential RCT solution proposed by the author.This solution makes it possible to global monitor the road infrastructure condition on a continuous basis via numerous users of the transport system,which guarantees that such an assessment is kept up to date.展开更多
Histopathology plays a great role in diagnosing various diseases,which is considered as a golden standard for tumor identification.The tissue constituents must be stained by visible labels for microscopic analysis by ...Histopathology plays a great role in diagnosing various diseases,which is considered as a golden standard for tumor identification.The tissue constituents must be stained by visible labels for microscopic analysis by medical experts.However,this process is time-consuming,labor-intensive,and expensive,which requires rapid pathological approaches for diagnosis in the operating room.Here,we present an easy-to-process and high-performance perovskite biological probes for rapid and visual pathological diagnosis of glioma.Perovskite quantum dots can be encapsulated by the copolymer into nanocrystals(PNCs)with a diameter of 100 nm,which is modified with chlorotoxin to achieve the specific recognition of glioma.Benefiting from the super photoluminescence quantum yield(above 93%)of EVA@PNCs aqueous solution,the glioma can be clearly imaged and captured via a smartphone under the excitation of a handheld UV lamp.To demonstrate the visualization and efficiency of PNC probes,different malignant grades of brain tumor sections can be distinguished in no more than 5 min.This strategy provides a general auxiliary diagnosis platform for achieving the histopathology analysis near the operating bed,which is currently not feasible with standard histochemical staining methods.展开更多
This paper presents a comprehensive framework that enables communication scene recognition through deep learning and multi-sensor fusion.This study aims to address the challenge of current communication scene recognit...This paper presents a comprehensive framework that enables communication scene recognition through deep learning and multi-sensor fusion.This study aims to address the challenge of current communication scene recognition methods that struggle to adapt in dynamic environments,as they typically rely on post-response mechanisms that fail to detect scene changes before users experience latency.The proposed framework leverages data from multiple smartphone sensors,including acceleration sensors,gyroscopes,magnetic field sensors,and orientation sensors,to identify different communication scenes,such as walking,running,cycling,and various modes of transportation.Extensive experimental comparative analysis with existing methods on the open-source SHL-2018 dataset confirmed the superior performance of our approach in terms of F1 score and processing speed.Additionally,tests using a Microsoft Surface Pro tablet and a self-collected Beijing-2023 dataset have validated the framework's efficiency and generalization capability.The results show that our framework achieved an F1 score of 95.15%on SHL-2018and 94.6%on Beijing-2023,highlighting its robustness across different datasets and conditions.Furthermore,the levels of computational complexity and power consumption associated with the algorithm are moderate,making it suitable for deployment on mobile devices.展开更多
This paper illustrates the functions of smartphone-based teaching using the theory of constructivism,and puts forward anew learning strategy to replace traditional cram-teaching methods.We examines the new paradigm in...This paper illustrates the functions of smartphone-based teaching using the theory of constructivism,and puts forward anew learning strategy to replace traditional cram-teaching methods.We examines the new paradigm in the formation of translationcompetence within the legal discourse.It aims to promote the autonomous learning,monitor the students’participation,facilitatestudents’communication and provide well-structured materials to transform traditional classroom learning into mobile phonelearning,to maximize students’initiative and enthusiasm,as well as help students engage in,interpret,and negotiate the complexi-ties that surround them.The findings of this study have been summarized into a few generalizations for possible directions for trans-lation research and they provide a better understanding of Chinese students’translation competence within a legal English contextand contribute to the translation skill development.Series on existing research on translation competence development in classroomteaching contexts for empirical guidance,as an essential component of ESP curriculum based on authentic data and analyzedthrough online framework specifically designed for legal discourse.展开更多
基金supported by the Shaanxi Police Officers’Vocational College Scientific Research Project(grant number YJKY202310).
文摘Background:The mental health challenges faced by police officers due to high-stress work environments necessitate effective interventions.Cognitive-behavioral therapy(CBT)has shown promise in addressing mental health issues,and this study aims to evaluate the efficacy of smartphone-based cognitive-behavioral therapy(SCBT)in improving mental health outcomes among police officers.This intervention could provide a reference for enhancing mental health literacy and resilience in this population.Methods:A randomized controlled trial(RCT)design was employed,involving 291 police officers who were randomly assigned to either the SCBT intervention group(n=145)or the control group(n=146).Participants completed pre-and post-intervention assessments using the Symptom Checklist-90(SCL-90),which measures multiple psychological symptoms including somatization,obsessive-compulsiveness,interpersonal sensitivity,depression,anxiety,hostility,phobic anxiety,paranoid ideation,and psychoticism.Statistical analyses were conducted to examine group differences in symptom severity and effect sizes.Results:Post-intervention results indicated significant reductions in somatization,obsessivecompulsiveness,interpersonal sensitivity,depression,anxiety,hostility,phobic anxiety,paranoid ideation,and psychoticism,with large effect sizes observed in the intervention group.Notably,the intervention group showed significantly greater improvements compared to the control group,particularly in overall psychological distress as measured by the total SCL-90 score.However,significant reductions in interpersonal sensitivity and paranoid ideation were also observed in the control group,suggesting external factors may have influenced these dimensions.Conclusion:SCBT demonstrated efficacy in reducing psychological distress among police officers,offering a flexible and accessible mental health intervention.However,challenges such as high dropout rates and the complex,dynamic nature of mental health warrant further investigation.Future studies should explore targeted interventions for specific behavioral issues and consider SCBT as a supplementary tool alongside traditional psychotherapy.
基金supported by the National Natural Science Foundation of China(No.81773352)the China Scholarship Council(No.201703170071)。
文摘The role of point-of-care(POC)diagnostics is important in public health.With the support of smartphones,POC diagnostic technologies can be greatly improved.This opportunity has arisen from not only the large number and fast spread of cell-phones across the world but also their improved imaging/diagnostic functions.As a tool,the smartphone is regarded as part of a compact,portable,and low-cost system for real-time POC,even in areas with few resources.By combining near-infrared(NIR)imaging,measurement,and spectroscopy techniques,pathogens can be detected with high sensitivity.The whole process is rapid,accurate,and low-cost,and will set the future trend for POC diagnostics.In this review,the development of smartphone-based NIR fluorescent imaging technology was described,and the quality and potential of POC applications were discussed.
文摘The purpose of the paper is to analyse the effectiveness of a solution known as road condition tool(RCT)based on data crowdsourcing from smartphones users in the transport system.The tool developed by the author of the paper,enabling identification and assessment of road pavement defects by analysing the dynamics of vehicle motion in the road network.Transport system users equipped with a smartphone with the RCT mobile application on board record data of linear accelerations,speed,and vehicle location,and then,without any intervention,send them to the RCT server database in an aggregated form.The aggregated data are processed in the combined time and location criterion,and the road pavement condition assessment index is estimated for fixed 10 m long measuring sections.The measuring sections correspond to the sections of roads defined in the pavement management systems(PMS)used by municipal road infrastructure administration bodies.Both the research in question and the results obtained by the method proposed for purposes of the road pavement condition assessment were compared with a set of reference data of the road infrastructure administration body which conducted surveys using highly specialised measuring equipment.The results of this comparison,performed using binary classifiers,confirm the potential RCT solution proposed by the author.This solution makes it possible to global monitor the road infrastructure condition on a continuous basis via numerous users of the transport system,which guarantees that such an assessment is kept up to date.
基金National Natural Science Foundation of China,Grant/Award Numbers:52222313,22075296,91963212,32271108Beijing Municipal Science and Technology Commission,Grant/Award Numbers:Z201100006820037,Z211100002121001+1 种基金Youth Innovation Promotion Association CAS,Grant/Award Number:2020032Beijing National Laboratory for Molecular Sciences,Grant/Award Number:BNLMSCXXM-202005。
文摘Histopathology plays a great role in diagnosing various diseases,which is considered as a golden standard for tumor identification.The tissue constituents must be stained by visible labels for microscopic analysis by medical experts.However,this process is time-consuming,labor-intensive,and expensive,which requires rapid pathological approaches for diagnosis in the operating room.Here,we present an easy-to-process and high-performance perovskite biological probes for rapid and visual pathological diagnosis of glioma.Perovskite quantum dots can be encapsulated by the copolymer into nanocrystals(PNCs)with a diameter of 100 nm,which is modified with chlorotoxin to achieve the specific recognition of glioma.Benefiting from the super photoluminescence quantum yield(above 93%)of EVA@PNCs aqueous solution,the glioma can be clearly imaged and captured via a smartphone under the excitation of a handheld UV lamp.To demonstrate the visualization and efficiency of PNC probes,different malignant grades of brain tumor sections can be distinguished in no more than 5 min.This strategy provides a general auxiliary diagnosis platform for achieving the histopathology analysis near the operating bed,which is currently not feasible with standard histochemical staining methods.
基金supported by National 2011 Collaborative Innovation Center of Wireless Communication Technologies under Grant 2242022k60006。
文摘This paper presents a comprehensive framework that enables communication scene recognition through deep learning and multi-sensor fusion.This study aims to address the challenge of current communication scene recognition methods that struggle to adapt in dynamic environments,as they typically rely on post-response mechanisms that fail to detect scene changes before users experience latency.The proposed framework leverages data from multiple smartphone sensors,including acceleration sensors,gyroscopes,magnetic field sensors,and orientation sensors,to identify different communication scenes,such as walking,running,cycling,and various modes of transportation.Extensive experimental comparative analysis with existing methods on the open-source SHL-2018 dataset confirmed the superior performance of our approach in terms of F1 score and processing speed.Additionally,tests using a Microsoft Surface Pro tablet and a self-collected Beijing-2023 dataset have validated the framework's efficiency and generalization capability.The results show that our framework achieved an F1 score of 95.15%on SHL-2018and 94.6%on Beijing-2023,highlighting its robustness across different datasets and conditions.Furthermore,the levels of computational complexity and power consumption associated with the algorithm are moderate,making it suitable for deployment on mobile devices.
文摘This paper illustrates the functions of smartphone-based teaching using the theory of constructivism,and puts forward anew learning strategy to replace traditional cram-teaching methods.We examines the new paradigm in the formation of translationcompetence within the legal discourse.It aims to promote the autonomous learning,monitor the students’participation,facilitatestudents’communication and provide well-structured materials to transform traditional classroom learning into mobile phonelearning,to maximize students’initiative and enthusiasm,as well as help students engage in,interpret,and negotiate the complexi-ties that surround them.The findings of this study have been summarized into a few generalizations for possible directions for trans-lation research and they provide a better understanding of Chinese students’translation competence within a legal English contextand contribute to the translation skill development.Series on existing research on translation competence development in classroomteaching contexts for empirical guidance,as an essential component of ESP curriculum based on authentic data and analyzedthrough online framework specifically designed for legal discourse.
