The purpose of this paper is to develop an implementable strategy of brake energy recovery for a parallel hydraulic hybrid bus. Based on brake process analysis, a dynamic programming algorithm of brake energy recovery...The purpose of this paper is to develop an implementable strategy of brake energy recovery for a parallel hydraulic hybrid bus. Based on brake process analysis, a dynamic programming algorithm of brake energy recovery is established. And then an implementable strategy of brake energy recovery is proposed by the constraint variable trajectories analysis of the dynamic programming algorithm in the typical urban bus cycle. The simulation results indicate the brake energy recovery efficiency of the accumulator can reach 60% in the dynamic programming algorithm. And the hydraulic hybrid system can output braking torque as much as possible.Moreover, the accumulator has almost equal efficiency of brake energy recovery between the implementable strategy and the dynamic programming algorithm. Therefore, the implementable strategy is very effective in improving the efficiency of brake energy recovery.The road tests show the fuel economy of the hydraulic hybrid bus improves by 22.6% compared with the conventional bus.展开更多
Objective:This review aimed to identify the barriers and facilitators to equitable coronavirus disease 2019(COVID-19)vaccine distribution in Nigeria using the consolidated framework for implementation research(CFIR).M...Objective:This review aimed to identify the barriers and facilitators to equitable coronavirus disease 2019(COVID-19)vaccine distribution in Nigeria using the consolidated framework for implementation research(CFIR).Methods:A comprehensive search strategy was applied across five databases—Web of Science,MEDLINE,EMBASE,CAB Direct,and CINAHL.The search,conducted as part of a scoping review,yielded 2,751 citations.Seven studies met the inclusion criteria after screening.Data were extracted and analyzed using CFIR constructs to identify key barriers and facilitators to equitable vaccine distribution.Results:Six barriers were identified:limited physical and socioeconomic access,bribery,nepotism,and insufficient availability of translated information.Facilitators included community involvement as local monitoring agents,unannounced staff inspections,healthcare worker training tailored to community needs,and localized outreach strategies such as jingles and call-in programs.CFIR constructs,including Local Conditions,Tailoring Strategies,Available Resources,and Physical Infrastructure,provided a framework for analyzing the findings.Conclusion:This review highlights significant barriers and promising facilitators to equitable vaccine distribution in Nigeria.Targeted interventions,such as community engagement,anti-corruption measures,and culturally tailored strategies,are critical to addressing these challenges and improving access.These findings underscore the need for localized,equity-focused approaches to enhance vaccine distribution systems in Nigeria and other low-resource settings.展开更多
The Royal Tropical Institute(KIT)in Amsterdam is an independent centre of knowledge and expertise in the areas of international and intercultural cooperation,operating at the interface between theory and practice and ...The Royal Tropical Institute(KIT)in Amsterdam is an independent centre of knowledge and expertise in the areas of international and intercultural cooperation,operating at the interface between theory and practice and between policy and implementation.The Institute contributes to sustainable development,poverty alleviation and cultural preservation and exchange.展开更多
Taking Zhejiang Province as an example,this paper explores the mechanisms and implementation pathways through which the low-altitude economy drives the transformation and upgrading of the tourism industry.It finds tha...Taking Zhejiang Province as an example,this paper explores the mechanisms and implementation pathways through which the low-altitude economy drives the transformation and upgrading of the tourism industry.It finds that the low-altitude economy can effectively promote the development of high-end and diversified tourism in Zhejiang by innovating tourism formats,optimizing resource allocation,and enhancing tourist experiences.Besides,it analyzes the current development status of the low-altitude economy in Zhejiang and its potential for integration with tourism,revealing specific enabling pathways for tourism transformation,including low-altitude sightseeing,aviation tourism,and low-altitude sports.Finally,it proposes policy recommendations such as strengthening policy support,enhancing infrastructure development,and cultivating market entities.The findings aim to provide theoretical references and practical guidance for the high-quality development of tourism in Zhejiang Province.展开更多
Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible,efficient,and personalized.From electronic health records,telemedicine,wearable devices,and artificial ...Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible,efficient,and personalized.From electronic health records,telemedicine,wearable devices,and artificial intelligence to the recent smart hospitals,digital health is improving patient care and outcomes while reducing healthcare costs.However,the integration of digital health faces several challenges,including data privacy,cybersecurity risks,and inequitable access to technology.This article provides an overview of the current state of digital health,key challenges in implementation,and potential solutions to maximize the benefits of digital health and ensure efficient,equitable,and patient‐centered healthcare in the future.展开更多
Language policies are of great significance to a nation’s stability,unity,and development.Uzbekistan’s language policies have reflected the political,economic,and cultural dynamics of different periods throughout hi...Language policies are of great significance to a nation’s stability,unity,and development.Uzbekistan’s language policies have reflected the political,economic,and cultural dynamics of different periods throughout historical changes,influencing social structures and ethnic relations.This paper summarizes the characteristics of Uzbekistan’s language policies in different eras:During the Tsarist Russian period,the Russification of language policies hindered the development of local languages;in the Soviet era,policies adopted a dual approach,promoting both Russian and prioritizing ethnic languages;after independence,Uzbekistan established Uzbek as the state language and emphasized foreign language education.The current language policy in Uzbekistan presents a complex landscape:While emphasizing the dominant role of the national language helps preserve its heritage,it may easily spark ethnic and political tensions;promoting pluralism and inclusivity brings benefits but faces challenges in balancing language statuses,resource allocation,management,and communication;modernization efforts encounter difficulties in standardizing dialects and foreign loanwords;and in international exchanges,there is a need to balance relations with global lingua francas.In conclusion,Uzbekistan’s language policies have undergone unique transformations and face numerous challenges.In-depth research is crucial for improving the country’s policies and enhancing China-Uzbekistan cooperation.Proactive measures are needed to address these challenges,ensuring the sustainability of language policies and fostering greater national prosperity.展开更多
The efficient implementation of the Advanced Encryption Standard(AES)is crucial for network data security.This paper presents novel hardware implementations of the AES S-box,a core component,using tower field represen...The efficient implementation of the Advanced Encryption Standard(AES)is crucial for network data security.This paper presents novel hardware implementations of the AES S-box,a core component,using tower field representations and Boolean Satisfiability(SAT)solvers.Our research makes several significant contri-butions to the field.Firstly,we have optimized the GF(24)inversion,achieving a remarkable 31.35%area reduction(15.33 GE)compared to the best known implementations.Secondly,we have enhanced multiplication implementa-tions for transformation matrices using a SAT-method based on local solutions.This approach has yielded notable improvements,such as a 22.22%reduction in area(42.00 GE)for the top transformation matrix in GF((24)2)-type S-box implementation.Furthermore,we have proposed new implementations of GF(((22)2)2)-type and GF((24)2)-type S-boxes,with the GF(((22)2)2)-type demonstrating superior performance.This implementation offers two variants:a small area variant that sets new area records,and a fast variant that establishes new benchmarks in Area-Execution-Time(AET)and energy consumption.Our approach significantly improves upon existing S-box implementations,offering advancements in area,speed,and energy consumption.These optimizations contribute to more efficient and secure AES implementations,potentially enhancing various cryptographic applications in the field of network security.展开更多
Both the complex geometrical morphology of rough-walled rock fractures and the nonlinearity of fluid flow contribute to resistance in fluid flow through rock fractures.The interactions of the shear-flow process furthe...Both the complex geometrical morphology of rough-walled rock fractures and the nonlinearity of fluid flow contribute to resistance in fluid flow through rock fractures.The interactions of the shear-flow process further complicate the characterisation of flow behaviours in rock fractures.In this study,an improved friction factor model involving both the effects of viscous and inertial forces is presented based on the Forchheimer equation.The model incorporates two key variables,i.e.Reynolds number and relative roughness,which reflect the effects of flow regimes and fracture roughness,respectively.The changes in geometrical parameters induced by shearing are considered,with the peak asperity height predicted through a correlation with post-peak roughness degradation.The hydraulic aperture during shearing is estimated using a suggested equation that accounts for the mobilised contact area ratio and variable aperture distribution.The parametric sensitivity analysis reveals that shear-induced changes in fracture geometry enhance the flow nonlinearity in rock fractures.The model performs well in predicting the friction factor based on two validation criteria.Then,the proposed friction factor model is incorporated into the three-dimensional distinct element code(3DEC)in the form of the Darcy-Weisbach equation.Coupled with the numerically implemented mechanical model and hydraulic aperture prediction model,numerical simulations of coupled shear-flow processes in single rock fractures are conducted.The simulation outcomes are validated through comparison with the experimental results,showing acceptable agreement and demonstrating that the numerical model is capable of accurately evaluating the hydro-mechanical coupling behaviour during the shearing of rock fractures.展开更多
As an emerging technological form,the metaverse provides innovative transformations for all levels of education-including scenarios,resources,and models-through its highly immersive and powerful social interaction cha...As an emerging technological form,the metaverse provides innovative transformations for all levels of education-including scenarios,resources,and models-through its highly immersive and powerful social interaction characteristics.Educational evaluation is core to assessing teaching effects and improving teaching strategies.With the technical support of the metaverse,challenges in traditional educational evaluation can be addressed,and comprehensive multi-dimensional portraits of individuals and collectives can be depicted,effectively enhancing teaching outcomes.Therefore,it has important value and untapped potential.This paper first analyzes the characteristics of educational evaluation in the metaverse context,discusses possible opportunities and challenges,then explores comprehensive practical paths from macro,meso,and micro levels,providing suggestions for the reform of educational evaluation in the metaverse environment.展开更多
Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s inter...Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s internet technology has achieved rapid development.Massive Open Online Course(MOOC),a blended learning approach based on internet technology,has strong applicability to medical education.It can not only improve teaching quality but also promote further reform of the discipline.Based on this,our study searched for relevant research at home and abroad and reviewed the implementation path of integrating MOOC and blended learning in oncology education.This provides a theoretical foundation for the innovation of oncology teaching models,improves the level of oncology teaching,and lays a solid foundation for talent reserves in oncology departments.展开更多
In the wave of higher education internationalization,college students’career education is faced with problems such as inadequate integration of international elements in teaching content,insufficient depth of interna...In the wave of higher education internationalization,college students’career education is faced with problems such as inadequate integration of international elements in teaching content,insufficient depth of international cooperation in practical links,lack of international professional experience among the teaching staff,and insufficient emphasis on the cultivation of multicultural adaptability in the education model.Based on this,this paper deeply explores the new requirements put forward by internationalization for college students’career education and its diversified implementation paths from the perspective of higher education internationalization.It aims to build a comprehensive and multi-level career education system and improve students’international competitiveness through strategies such as constructing an internationalized curriculum system,expanding international cooperation practice projects,strengthening international exchanges and training for teachers,and integrating multicultural education.展开更多
Background:Community-based first responders face high levels of workplace stressors that can pro-foundly impact their physical and mental health.Mindfulness-based interventions have shown promise in decreasing stress ...Background:Community-based first responders face high levels of workplace stressors that can pro-foundly impact their physical and mental health.Mindfulness-based interventions have shown promise in decreasing stress and increasing psychological resilience;however,implementation is difficult due to unpredictability of the job,department culture,and generational preferences.The objective of this qualitative study was to identify and enhance understanding of the specific needs and potential barriers and facilitators for the implementation of mindfulness-based programming for community-based first responders.Methods:A phenomenological qualitative study design was used to gain insights into the lived experiences of first responders and elicit perceptions regarding barriers and facilitators for engaging in mindfulness activities.During virtual semi-structured interviews,eleven career firefighters and emergency medical service(EMS)providers offered feedback relative to worksite mindfulness practices,and the use of a stress reduction smartphone application.The Consolidated Framework for Implementation Research was used to guide the analysis relative to barriers and facilitators of implementation success and sustainability.Results:First responders expressed openness to mindfulness-based interventions and a smartphone app that would provide stress reduction content,however,they were adamant that programming needed to be accessible and easily integrated into their workday.They also reinforced that organizational culture and leadership support for their health and well-being were overarching factors essential for implementation success.Conclusions:First responders were supportive of evidence-based mindfulness practices,optimally developed and/or facilitated by someone with intimate knowledge of their unique work environments and challenges.Organizational culture and leadership support were essential for implementation success and sustainability.展开更多
Objective:The World Health Organization recommends annual preventive chemotherapy with a single dose of praziquantel at≥75%treatment coverage,but as of 2021,the national coverage rate in Nigeria among children falls ...Objective:The World Health Organization recommends annual preventive chemotherapy with a single dose of praziquantel at≥75%treatment coverage,but as of 2021,the national coverage rate in Nigeria among children falls below 10%.This qualitative study sought to explore the barriers and facilitators to implementing large-scale praziquantel mass drug administration(MDA)programs for school-aged children in Nigeria to delineate tools and strategies that could improve the scaling-up and effectiveness of school-based praziquantel MDA programs.Methods:An exploratory qualitative study was conducted with stakeholders with experience in MDAs involving praziquantel or related preventive chemotherapy drugs in Nigeria.Through snowball sampling,30 stakeholders with experience in praziquantel school-based MDA in Nigeria were interviewed.An inductive approach was used to generate broad themes based on the barriers and facilitators identified by the key informants.Results:A total of 45 barriers and 36 facilitators were identified and grouped inductively into eight themes:funding and resources,design and composition of praziquantel tablets,knowledge and awareness mobilization,government,nongovernmental organization,and school engagement,data management,logistics,training,and security.Conclusion:This qualitative study reveals a wide range of barriers and facilitators in the MDA of praziquantel in Nigeria and uncovered critical points along the implementation pathway based on the locus of the barriers and facilitators identified.Collaboration with national,international,and non-profit organizations,and drug education through promotional materials,were the most frequently mentioned facilitators of the MDA program.In addition,insufficient program funding,and the complexity of the supply chain were the most cited barriers.展开更多
The demand for Chinese-Western medicine collaboration has grown significantly,but current integration methods have substantial limitations.This article analyzes core issues in developing and implementing synergistic C...The demand for Chinese-Western medicine collaboration has grown significantly,but current integration methods have substantial limitations.This article analyzes core issues in developing and implementing synergistic Chinese-Western medicine clinical treatment strategies and explores the transformation from traditional integration to genuine synergistic models.We analyzed methodological obstacles in synergistic strategy development through literature review and theoretical analysis,and explored applications of intelligent technology in strategy development.Four core challenges were identified:(1)Treatment timing coordination difficulties caused by different decision-making approaches,with Chinese medicine using syndrome-based assessments and Western medicine relying on standardized measurements;(2)Treatment selection complexities when integrating different types of evidence,lacking frameworks for evaluating and combining diverse evidence sources;(3)Obstacles in incorporating patient preferences systematically,with inadequate assessment methods and unclear integration mechanisms;(4)Implementation barriers in translating synergistic strategies into clinical practice,requiring changes in organizational structures,workflows,and evaluation systems.Large language models(LLMs)and other intelligent technologies offer technical support for addressing these methodological challenges.This article examines current challenges in developing synergistic Chinese-Western medicine clinical strategies,analyzing the shift from traditional integration toward synergistic approaches and identifying four core methodological obstacles.Exploring intelligent technology applications provides insights to inform future research directions and clinical practice development in integrated healthcare delivery.展开更多
In medical imaging,accurate brain tumor classification in medical imaging requires real-time processing and efficient computation,making hardware acceleration essential.Field Programmable Gate Arrays(FPGAs)offer paral...In medical imaging,accurate brain tumor classification in medical imaging requires real-time processing and efficient computation,making hardware acceleration essential.Field Programmable Gate Arrays(FPGAs)offer parallelism and reconfigurability,making them well-suited for such tasks.In this study,we propose a hardware-accelerated Convolutional Neural Network(CNN)for brain cancer classification,implemented on the PYNQ-Z2 FPGA.Our approach optimizes the first Conv2D layer using different numerical representations:8-bit fixed-point(INT8),16-bit fixed-point(FP16),and 32-bit fixed-point(FP32),while the remaining layers run on an ARM Cortex-A9 processor.Experimental results demonstrate that FPGA acceleration significantly outperforms the CPU(Central Processing Unit)based approach.The obtained results emphasize the critical importance of selecting the appropriate numerical representation for hardware acceleration in medical imaging.On the PYNQ-Z2 FPGA,the INT8 achieves a 16.8%reduction in latency and 22.2%power savings compared to FP32,making it ideal for real-time and energy-constrained applications.FP16 offers a strong balance,delivering only a 0.1%drop in accuracy compared to FP32(94.1%vs.94.2%)while improving latency by 5%and reducing power consumption by 11.1%.Compared to prior works,the proposed FPGA-based CNN model achieves the highest classification accuracy(94.2%)with a throughput of up to 1.562 FPS,outperforming GPU-based and traditional CPU methods in both accuracy and hardware efficiency.These findings demonstrate the effectiveness of FPGA-based AI acceleration for real-time,power-efficient,and high-performance brain tumor classification,showcasing its practical potential in next-generation medical imaging systems.展开更多
In 2025,Shi et al constructed a model utilizing machine learning techniques to predict the one-year recurrence of colorectal polyps following endoscopic mucosal resection,showing excellent discriminatory performance w...In 2025,Shi et al constructed a model utilizing machine learning techniques to predict the one-year recurrence of colorectal polyps following endoscopic mucosal resection,showing excellent discriminatory performance with an area under the curve exceeding 0.90.However,limitations exist regarding its narrow temporal scope,potential overestimation due to feature collinearity and imputation opacity,and limited generalizability due to single-center derivation and validation.Moreover,no clear clinical implementation strategy was outlined.Prospective multicenter validation and integration of endoscopist variability,longitudinal outcome data,and deployment mechanisms are warranted to ensure broader applicability and clinical utility.展开更多
This study examines the impact of waste management policies on public health in Bantar Gebang landfill which faces challenges such as inadequate infrastructure,low community participation,and ineffective policy implem...This study examines the impact of waste management policies on public health in Bantar Gebang landfill which faces challenges such as inadequate infrastructure,low community participation,and ineffective policy implementation.More than half of the waste generated is not transported to landfills,resulting in significant health and environmental risks,including respiratory infections,waterborne diseases,and vector-borne illnesses.The research adopts a qualitative phenomenological approach to understand the experiences of stakeholders,waste managers,and local communities.It also integrates the Waste Management Hierarchy,Community Participation Theory,and Policy Implementation Model to identify key gaps and propose potential solutions.The study reviews legal frameworks,including Indonesia’s Presidential Regulation No.97 of 2017,and specific regulations relevant to the site,evaluating their effectiveness in addressing waste and health issues.The findings highlight the need for stronger public education campaigns,increased investment in infrastructure,and the implementation of advanced technologies such as Waste-to-Energy plants.The study stresses that comprehensive policies on waste reduction,improved segregation,and better recycling practices are critical for achieving sustainable waste management.Additionally,greater inter-agency collaboration and active community engagement are essential for ensuring successful implementation.Drawing on experiences from Tokyo,Stockholm,and Berlin,the study suggests strategies to reduce landfill dependence and improve public health.展开更多
Currently,we have entered the era of artificial intelligence(AI).The rapid development and wide application of AI technology have exerted a profound impact on all fields of society.Against this backdrop,this paper con...Currently,we have entered the era of artificial intelligence(AI).The rapid development and wide application of AI technology have exerted a profound impact on all fields of society.Against this backdrop,this paper conducts an in-depth analysis focusing on general education in AI.First,it expounds the necessity of AI general education in cultivating the core literacy of vocational college students.Then,it puts forward effective implementation paths for such general education.The purpose is to provide valuable references for promoting the reform and innovative development of vocational education.展开更多
In the framework of elastoplastic theory,by introducing dissipative plastic energy(instead of cumulative plastic strain)and dissipative plastic energy rate(instead of cumulative plastic strain rate)into the ratchettin...In the framework of elastoplastic theory,by introducing dissipative plastic energy(instead of cumulative plastic strain)and dissipative plastic energy rate(instead of cumulative plastic strain rate)into the ratchetting parameter evolution equation and isotropic evolution rules respectively,a cyclic elastoplastic constitutive model based on dissipative plastic energy is established.This model,termed the WDP model,describes the physical meaning and evolution rule of the unclosed stress–strain hysteresis loop using an energy method.A comparison of numerical implementation results with experimental data demonstrates the capability of the WDP model to predict the cyclic deformation of EA4T steel,effectively capturing the cyclic softening characteristics and ratchetting behaviors of axle steel EA4T.展开更多
Objective:This study aimed to explore the strategies used by acute care hospitals in implementing a national standard for comprehensive care.Methods:A qualitative descriptive study was conducted with 28 care professio...Objective:This study aimed to explore the strategies used by acute care hospitals in implementing a national standard for comprehensive care.Methods:A qualitative descriptive study was conducted with 28 care professionals(20 nurses,two doctors,and six allied health professionals)recruited from a broad range of Australian acute care hospitals.Data were collected using semi-structured interviews from March to August 2023.The interviews were audio-recorded,transcribed,and thematically analyzed.Results:Strategies for implementing the Comprehensive Care Standard(CCS)vary,even within a health service organization.We identifiedstrategies hospitals used regarding the implementation team and plan,communication,education and training,documentation system,patient care plan,networking,incentives and pressure,feedback,and reflectingand evaluating.Conclusions:This interview study sheds light on the various strategies adopted by hospitals in implementing the CCS,providing a practical foundation to inform implementation efforts both within Australia and internationally.展开更多
基金supported by Shanghai Science and Technology Committee(No.0904H155100)
文摘The purpose of this paper is to develop an implementable strategy of brake energy recovery for a parallel hydraulic hybrid bus. Based on brake process analysis, a dynamic programming algorithm of brake energy recovery is established. And then an implementable strategy of brake energy recovery is proposed by the constraint variable trajectories analysis of the dynamic programming algorithm in the typical urban bus cycle. The simulation results indicate the brake energy recovery efficiency of the accumulator can reach 60% in the dynamic programming algorithm. And the hydraulic hybrid system can output braking torque as much as possible.Moreover, the accumulator has almost equal efficiency of brake energy recovery between the implementable strategy and the dynamic programming algorithm. Therefore, the implementable strategy is very effective in improving the efficiency of brake energy recovery.The road tests show the fuel economy of the hydraulic hybrid bus improves by 22.6% compared with the conventional bus.
文摘Objective:This review aimed to identify the barriers and facilitators to equitable coronavirus disease 2019(COVID-19)vaccine distribution in Nigeria using the consolidated framework for implementation research(CFIR).Methods:A comprehensive search strategy was applied across five databases—Web of Science,MEDLINE,EMBASE,CAB Direct,and CINAHL.The search,conducted as part of a scoping review,yielded 2,751 citations.Seven studies met the inclusion criteria after screening.Data were extracted and analyzed using CFIR constructs to identify key barriers and facilitators to equitable vaccine distribution.Results:Six barriers were identified:limited physical and socioeconomic access,bribery,nepotism,and insufficient availability of translated information.Facilitators included community involvement as local monitoring agents,unannounced staff inspections,healthcare worker training tailored to community needs,and localized outreach strategies such as jingles and call-in programs.CFIR constructs,including Local Conditions,Tailoring Strategies,Available Resources,and Physical Infrastructure,provided a framework for analyzing the findings.Conclusion:This review highlights significant barriers and promising facilitators to equitable vaccine distribution in Nigeria.Targeted interventions,such as community engagement,anti-corruption measures,and culturally tailored strategies,are critical to addressing these challenges and improving access.These findings underscore the need for localized,equity-focused approaches to enhance vaccine distribution systems in Nigeria and other low-resource settings.
文摘The Royal Tropical Institute(KIT)in Amsterdam is an independent centre of knowledge and expertise in the areas of international and intercultural cooperation,operating at the interface between theory and practice and between policy and implementation.The Institute contributes to sustainable development,poverty alleviation and cultural preservation and exchange.
文摘Taking Zhejiang Province as an example,this paper explores the mechanisms and implementation pathways through which the low-altitude economy drives the transformation and upgrading of the tourism industry.It finds that the low-altitude economy can effectively promote the development of high-end and diversified tourism in Zhejiang by innovating tourism formats,optimizing resource allocation,and enhancing tourist experiences.Besides,it analyzes the current development status of the low-altitude economy in Zhejiang and its potential for integration with tourism,revealing specific enabling pathways for tourism transformation,including low-altitude sightseeing,aviation tourism,and low-altitude sports.Finally,it proposes policy recommendations such as strengthening policy support,enhancing infrastructure development,and cultivating market entities.The findings aim to provide theoretical references and practical guidance for the high-quality development of tourism in Zhejiang Province.
文摘Digital health is transforming healthcare by integrating advanced technologies to make healthcare more accessible,efficient,and personalized.From electronic health records,telemedicine,wearable devices,and artificial intelligence to the recent smart hospitals,digital health is improving patient care and outcomes while reducing healthcare costs.However,the integration of digital health faces several challenges,including data privacy,cybersecurity risks,and inequitable access to technology.This article provides an overview of the current state of digital health,key challenges in implementation,and potential solutions to maximize the benefits of digital health and ensure efficient,equitable,and patient‐centered healthcare in the future.
基金the 2023 Open Project of the Kazakhstan Research Center at YiIi Normal University,Study on National Language Education Policy in Kazakhstan Under the Belt and Road Initiative(No.2023HSKSTYJYB007).
文摘Language policies are of great significance to a nation’s stability,unity,and development.Uzbekistan’s language policies have reflected the political,economic,and cultural dynamics of different periods throughout historical changes,influencing social structures and ethnic relations.This paper summarizes the characteristics of Uzbekistan’s language policies in different eras:During the Tsarist Russian period,the Russification of language policies hindered the development of local languages;in the Soviet era,policies adopted a dual approach,promoting both Russian and prioritizing ethnic languages;after independence,Uzbekistan established Uzbek as the state language and emphasized foreign language education.The current language policy in Uzbekistan presents a complex landscape:While emphasizing the dominant role of the national language helps preserve its heritage,it may easily spark ethnic and political tensions;promoting pluralism and inclusivity brings benefits but faces challenges in balancing language statuses,resource allocation,management,and communication;modernization efforts encounter difficulties in standardizing dialects and foreign loanwords;and in international exchanges,there is a need to balance relations with global lingua francas.In conclusion,Uzbekistan’s language policies have undergone unique transformations and face numerous challenges.In-depth research is crucial for improving the country’s policies and enhancing China-Uzbekistan cooperation.Proactive measures are needed to address these challenges,ensuring the sustainability of language policies and fostering greater national prosperity.
基金supported in part by the National Natural Science Foundation of China(No.62162016)in part by the Innovation Project of Guangxi Graduate Education(Nos.YCBZ2023132 and YCSW2023304).
文摘The efficient implementation of the Advanced Encryption Standard(AES)is crucial for network data security.This paper presents novel hardware implementations of the AES S-box,a core component,using tower field representations and Boolean Satisfiability(SAT)solvers.Our research makes several significant contri-butions to the field.Firstly,we have optimized the GF(24)inversion,achieving a remarkable 31.35%area reduction(15.33 GE)compared to the best known implementations.Secondly,we have enhanced multiplication implementa-tions for transformation matrices using a SAT-method based on local solutions.This approach has yielded notable improvements,such as a 22.22%reduction in area(42.00 GE)for the top transformation matrix in GF((24)2)-type S-box implementation.Furthermore,we have proposed new implementations of GF(((22)2)2)-type and GF((24)2)-type S-boxes,with the GF(((22)2)2)-type demonstrating superior performance.This implementation offers two variants:a small area variant that sets new area records,and a fast variant that establishes new benchmarks in Area-Execution-Time(AET)and energy consumption.Our approach significantly improves upon existing S-box implementations,offering advancements in area,speed,and energy consumption.These optimizations contribute to more efficient and secure AES implementations,potentially enhancing various cryptographic applications in the field of network security.
基金supported by the China Scholarship Council(CSC)(Grant No.202006060033).
文摘Both the complex geometrical morphology of rough-walled rock fractures and the nonlinearity of fluid flow contribute to resistance in fluid flow through rock fractures.The interactions of the shear-flow process further complicate the characterisation of flow behaviours in rock fractures.In this study,an improved friction factor model involving both the effects of viscous and inertial forces is presented based on the Forchheimer equation.The model incorporates two key variables,i.e.Reynolds number and relative roughness,which reflect the effects of flow regimes and fracture roughness,respectively.The changes in geometrical parameters induced by shearing are considered,with the peak asperity height predicted through a correlation with post-peak roughness degradation.The hydraulic aperture during shearing is estimated using a suggested equation that accounts for the mobilised contact area ratio and variable aperture distribution.The parametric sensitivity analysis reveals that shear-induced changes in fracture geometry enhance the flow nonlinearity in rock fractures.The model performs well in predicting the friction factor based on two validation criteria.Then,the proposed friction factor model is incorporated into the three-dimensional distinct element code(3DEC)in the form of the Darcy-Weisbach equation.Coupled with the numerically implemented mechanical model and hydraulic aperture prediction model,numerical simulations of coupled shear-flow processes in single rock fractures are conducted.The simulation outcomes are validated through comparison with the experimental results,showing acceptable agreement and demonstrating that the numerical model is capable of accurately evaluating the hydro-mechanical coupling behaviour during the shearing of rock fractures.
文摘As an emerging technological form,the metaverse provides innovative transformations for all levels of education-including scenarios,resources,and models-through its highly immersive and powerful social interaction characteristics.Educational evaluation is core to assessing teaching effects and improving teaching strategies.With the technical support of the metaverse,challenges in traditional educational evaluation can be addressed,and comprehensive multi-dimensional portraits of individuals and collectives can be depicted,effectively enhancing teaching outcomes.Therefore,it has important value and untapped potential.This paper first analyzes the characteristics of educational evaluation in the metaverse context,discusses possible opportunities and challenges,then explores comprehensive practical paths from macro,meso,and micro levels,providing suggestions for the reform of educational evaluation in the metaverse environment.
基金Mechanism of Nanotechnology-driven Polyphyllin I in Sensitizing PD-1 Monoclonal Antibody in Breast Cancer(82204922)Nanotechnology-driven Polyphyllin I Affects Mitochondrial Homeostasis via Cuproptosis and Its Mechanism in Breast Cancer Treatment(ZZ18-YQ-022)。
文摘Oncology covers a wide range of knowledge and is more difficult compared to other clinical disciplines.Therefore,it is crucial to seek an efficient teaching method for oncology education.In recent years,China’s internet technology has achieved rapid development.Massive Open Online Course(MOOC),a blended learning approach based on internet technology,has strong applicability to medical education.It can not only improve teaching quality but also promote further reform of the discipline.Based on this,our study searched for relevant research at home and abroad and reviewed the implementation path of integrating MOOC and blended learning in oncology education.This provides a theoretical foundation for the innovation of oncology teaching models,improves the level of oncology teaching,and lays a solid foundation for talent reserves in oncology departments.
文摘In the wave of higher education internationalization,college students’career education is faced with problems such as inadequate integration of international elements in teaching content,insufficient depth of international cooperation in practical links,lack of international professional experience among the teaching staff,and insufficient emphasis on the cultivation of multicultural adaptability in the education model.Based on this,this paper deeply explores the new requirements put forward by internationalization for college students’career education and its diversified implementation paths from the perspective of higher education internationalization.It aims to build a comprehensive and multi-level career education system and improve students’international competitiveness through strategies such as constructing an internationalized curriculum system,expanding international cooperation practice projects,strengthening international exchanges and training for teachers,and integrating multicultural education.
文摘Background:Community-based first responders face high levels of workplace stressors that can pro-foundly impact their physical and mental health.Mindfulness-based interventions have shown promise in decreasing stress and increasing psychological resilience;however,implementation is difficult due to unpredictability of the job,department culture,and generational preferences.The objective of this qualitative study was to identify and enhance understanding of the specific needs and potential barriers and facilitators for the implementation of mindfulness-based programming for community-based first responders.Methods:A phenomenological qualitative study design was used to gain insights into the lived experiences of first responders and elicit perceptions regarding barriers and facilitators for engaging in mindfulness activities.During virtual semi-structured interviews,eleven career firefighters and emergency medical service(EMS)providers offered feedback relative to worksite mindfulness practices,and the use of a stress reduction smartphone application.The Consolidated Framework for Implementation Research was used to guide the analysis relative to barriers and facilitators of implementation success and sustainability.Results:First responders expressed openness to mindfulness-based interventions and a smartphone app that would provide stress reduction content,however,they were adamant that programming needed to be accessible and easily integrated into their workday.They also reinforced that organizational culture and leadership support for their health and well-being were overarching factors essential for implementation success.Conclusions:First responders were supportive of evidence-based mindfulness practices,optimally developed and/or facilitated by someone with intimate knowledge of their unique work environments and challenges.Organizational culture and leadership support were essential for implementation success and sustainability.
基金the Flourish Collective,a Cluster of Scholarly Prominence at the University of Toronto,Scarborough。
文摘Objective:The World Health Organization recommends annual preventive chemotherapy with a single dose of praziquantel at≥75%treatment coverage,but as of 2021,the national coverage rate in Nigeria among children falls below 10%.This qualitative study sought to explore the barriers and facilitators to implementing large-scale praziquantel mass drug administration(MDA)programs for school-aged children in Nigeria to delineate tools and strategies that could improve the scaling-up and effectiveness of school-based praziquantel MDA programs.Methods:An exploratory qualitative study was conducted with stakeholders with experience in MDAs involving praziquantel or related preventive chemotherapy drugs in Nigeria.Through snowball sampling,30 stakeholders with experience in praziquantel school-based MDA in Nigeria were interviewed.An inductive approach was used to generate broad themes based on the barriers and facilitators identified by the key informants.Results:A total of 45 barriers and 36 facilitators were identified and grouped inductively into eight themes:funding and resources,design and composition of praziquantel tablets,knowledge and awareness mobilization,government,nongovernmental organization,and school engagement,data management,logistics,training,and security.Conclusion:This qualitative study reveals a wide range of barriers and facilitators in the MDA of praziquantel in Nigeria and uncovered critical points along the implementation pathway based on the locus of the barriers and facilitators identified.Collaboration with national,international,and non-profit organizations,and drug education through promotional materials,were the most frequently mentioned facilitators of the MDA program.In addition,insufficient program funding,and the complexity of the supply chain were the most cited barriers.
基金supported by the National Natural Science Foundation of China(No.82204931).
文摘The demand for Chinese-Western medicine collaboration has grown significantly,but current integration methods have substantial limitations.This article analyzes core issues in developing and implementing synergistic Chinese-Western medicine clinical treatment strategies and explores the transformation from traditional integration to genuine synergistic models.We analyzed methodological obstacles in synergistic strategy development through literature review and theoretical analysis,and explored applications of intelligent technology in strategy development.Four core challenges were identified:(1)Treatment timing coordination difficulties caused by different decision-making approaches,with Chinese medicine using syndrome-based assessments and Western medicine relying on standardized measurements;(2)Treatment selection complexities when integrating different types of evidence,lacking frameworks for evaluating and combining diverse evidence sources;(3)Obstacles in incorporating patient preferences systematically,with inadequate assessment methods and unclear integration mechanisms;(4)Implementation barriers in translating synergistic strategies into clinical practice,requiring changes in organizational structures,workflows,and evaluation systems.Large language models(LLMs)and other intelligent technologies offer technical support for addressing these methodological challenges.This article examines current challenges in developing synergistic Chinese-Western medicine clinical strategies,analyzing the shift from traditional integration toward synergistic approaches and identifying four core methodological obstacles.Exploring intelligent technology applications provides insights to inform future research directions and clinical practice development in integrated healthcare delivery.
基金supported by Northern Border University Researchers Supporting Project number(NBU-FFR-2025-432-03),Northern Border University,Arar,Saudi Arabia.
文摘In medical imaging,accurate brain tumor classification in medical imaging requires real-time processing and efficient computation,making hardware acceleration essential.Field Programmable Gate Arrays(FPGAs)offer parallelism and reconfigurability,making them well-suited for such tasks.In this study,we propose a hardware-accelerated Convolutional Neural Network(CNN)for brain cancer classification,implemented on the PYNQ-Z2 FPGA.Our approach optimizes the first Conv2D layer using different numerical representations:8-bit fixed-point(INT8),16-bit fixed-point(FP16),and 32-bit fixed-point(FP32),while the remaining layers run on an ARM Cortex-A9 processor.Experimental results demonstrate that FPGA acceleration significantly outperforms the CPU(Central Processing Unit)based approach.The obtained results emphasize the critical importance of selecting the appropriate numerical representation for hardware acceleration in medical imaging.On the PYNQ-Z2 FPGA,the INT8 achieves a 16.8%reduction in latency and 22.2%power savings compared to FP32,making it ideal for real-time and energy-constrained applications.FP16 offers a strong balance,delivering only a 0.1%drop in accuracy compared to FP32(94.1%vs.94.2%)while improving latency by 5%and reducing power consumption by 11.1%.Compared to prior works,the proposed FPGA-based CNN model achieves the highest classification accuracy(94.2%)with a throughput of up to 1.562 FPS,outperforming GPU-based and traditional CPU methods in both accuracy and hardware efficiency.These findings demonstrate the effectiveness of FPGA-based AI acceleration for real-time,power-efficient,and high-performance brain tumor classification,showcasing its practical potential in next-generation medical imaging systems.
基金Supported by the Wuhu Municipal Science and Technology Bureau Project,No.2024kj072.
文摘In 2025,Shi et al constructed a model utilizing machine learning techniques to predict the one-year recurrence of colorectal polyps following endoscopic mucosal resection,showing excellent discriminatory performance with an area under the curve exceeding 0.90.However,limitations exist regarding its narrow temporal scope,potential overestimation due to feature collinearity and imputation opacity,and limited generalizability due to single-center derivation and validation.Moreover,no clear clinical implementation strategy was outlined.Prospective multicenter validation and integration of endoscopist variability,longitudinal outcome data,and deployment mechanisms are warranted to ensure broader applicability and clinical utility.
文摘This study examines the impact of waste management policies on public health in Bantar Gebang landfill which faces challenges such as inadequate infrastructure,low community participation,and ineffective policy implementation.More than half of the waste generated is not transported to landfills,resulting in significant health and environmental risks,including respiratory infections,waterborne diseases,and vector-borne illnesses.The research adopts a qualitative phenomenological approach to understand the experiences of stakeholders,waste managers,and local communities.It also integrates the Waste Management Hierarchy,Community Participation Theory,and Policy Implementation Model to identify key gaps and propose potential solutions.The study reviews legal frameworks,including Indonesia’s Presidential Regulation No.97 of 2017,and specific regulations relevant to the site,evaluating their effectiveness in addressing waste and health issues.The findings highlight the need for stronger public education campaigns,increased investment in infrastructure,and the implementation of advanced technologies such as Waste-to-Energy plants.The study stresses that comprehensive policies on waste reduction,improved segregation,and better recycling practices are critical for achieving sustainable waste management.Additionally,greater inter-agency collaboration and active community engagement are essential for ensuring successful implementation.Drawing on experiences from Tokyo,Stockholm,and Berlin,the study suggests strategies to reduce landfill dependence and improve public health.
文摘Currently,we have entered the era of artificial intelligence(AI).The rapid development and wide application of AI technology have exerted a profound impact on all fields of society.Against this backdrop,this paper conducts an in-depth analysis focusing on general education in AI.First,it expounds the necessity of AI general education in cultivating the core literacy of vocational college students.Then,it puts forward effective implementation paths for such general education.The purpose is to provide valuable references for promoting the reform and innovative development of vocational education.
基金supported by the Science&Technology Development Fund of Tianjin Education Commission for Higher Education(No.2023KJ250).
文摘In the framework of elastoplastic theory,by introducing dissipative plastic energy(instead of cumulative plastic strain)and dissipative plastic energy rate(instead of cumulative plastic strain rate)into the ratchetting parameter evolution equation and isotropic evolution rules respectively,a cyclic elastoplastic constitutive model based on dissipative plastic energy is established.This model,termed the WDP model,describes the physical meaning and evolution rule of the unclosed stress–strain hysteresis loop using an energy method.A comparison of numerical implementation results with experimental data demonstrates the capability of the WDP model to predict the cyclic deformation of EA4T steel,effectively capturing the cyclic softening characteristics and ratchetting behaviors of axle steel EA4T.
基金supported by an Australian Government Research Training Program Scholarshippart of the project“Improving quality of care for people with dementia in the acute care setting(eQC)”which is funded by the National Health and Medical Research Council of the Australian Government(No.APP1140459)。
文摘Objective:This study aimed to explore the strategies used by acute care hospitals in implementing a national standard for comprehensive care.Methods:A qualitative descriptive study was conducted with 28 care professionals(20 nurses,two doctors,and six allied health professionals)recruited from a broad range of Australian acute care hospitals.Data were collected using semi-structured interviews from March to August 2023.The interviews were audio-recorded,transcribed,and thematically analyzed.Results:Strategies for implementing the Comprehensive Care Standard(CCS)vary,even within a health service organization.We identifiedstrategies hospitals used regarding the implementation team and plan,communication,education and training,documentation system,patient care plan,networking,incentives and pressure,feedback,and reflectingand evaluating.Conclusions:This interview study sheds light on the various strategies adopted by hospitals in implementing the CCS,providing a practical foundation to inform implementation efforts both within Australia and internationally.
