Amelioration of saline-sodic soils through land preparation with three tillage implements （disc plow, rotavator and cultivator） each followed by application of sulfuric acid at 20% of gypsum （CaSO4-2H2O） requireme...Amelioration of saline-sodic soils through land preparation with three tillage implements （disc plow, rotavator and cultivator） each followed by application of sulfuric acid at 20% of gypsum （CaSO4-2H2O） requirement or no sulfuric acid application during crop growth period was evaluated in a field study for 2.5 years at three sites, i.e., Jhottianwala, Gabrika （Thabal）, and Thatta Langar, in Tehsil Pindi Bhattian, Hafizahad District, Pakistan. Within 2.5 years, there was a decrease in the salinity parameters measured （electrical conductivity, pH, and sodium adsorption ratio）, with a gradual increase in rice and wheat grain yields. It was observed that the disc plow, which not only ensured favorable yields but also helped improve soil health at all the three sites, was the most effective tillage implement. Also, application of sulfuric acid resulted in higher yields and promoted rapid amelioration of the saline-sodic soils.展开更多
The low stress abrasion behaviours of heat treated mild, medium carbon and high C - low Cr steels, which are generally used in making farm implements, have been investigated. The simple heat treatment greatly improves...The low stress abrasion behaviours of heat treated mild, medium carbon and high C - low Cr steels, which are generally used in making farm implements, have been investigated. The simple heat treatment greatly improves the hardness, tensile strength and abrasion resistance of medium carbon and high C - low Cr steels. The results indicate that the material removal during abrasion is controlled by a number of factors, such as hardness, chemical composition, microstructure and heat treatment conditions. The conclusion is that the heat treated high C - low Cr steel and mild steel carburized by using coaltar pitch provide the best hardness and abrasion resistance and thus appear to be the most suitable materials for making agricultural tools.展开更多
Most TibetanBuddhist ritualimplements andsacrificialobjects were cast in gold,silver or copper, in additionto those made of wood,bone,stone,shells,cloth,silks and brocade heyconstitute an important partof he treasure ...Most TibetanBuddhist ritualimplements andsacrificialobjects were cast in gold,silver or copper, in additionto those made of wood,bone,stone,shells,cloth,silks and brocade heyconstitute an important partof he treasure house ofTibetan Buddhism.展开更多
To improve the GNSS receiver’s accuracy,continuity,and stability in measuring the height of agricultural implements,this study proposed a variable-parameter Kalman filter(VPKF)algorithm based on GNSS and acceleromete...To improve the GNSS receiver’s accuracy,continuity,and stability in measuring the height of agricultural implements,this study proposed a variable-parameter Kalman filter(VPKF)algorithm based on GNSS and accelerometer to estimate the height of the implements optimally.The VPKF was verified,and its accuracy was evaluated by parallel rail platform and field tests.From the parallel rail test results,when the GNSS receiver was in real-time kinematic(RTK)positioning and the time delay of differential correction data(TDDCD)was less than or equal to 4 s,the root mean square error(RMSE)of the VPKF estimation was 9.82 mm.The RMSE of the GNSS measurement was 18.85 mm.When the GNSS receiver lost differential correction data within 28 s,the absolute error of VPKF was less than 30 mm,and the RMSE was 16.93 mm.The field test results showed that when the GNSS receiver was in RTK positioning and the TDDCD was less than or equal to 4 s,the RMSE of VPKF estimation was 13.43 mm,and the GNSS measurement was 14.56 mm.When the GNSS receiver lost differential correction data within 28 s,the RMSE of the VPKF estimate was 15.22 mm.These results show that VPKF can optimally estimate implement height with better accuracy.Overall,the VPKF can obtain a more accurate,continuous,and stable height of the implement,and increase the application scenarios of the GNSS receiver to measure the implement height.展开更多
The reduction of water resources and soil fertility in Northeast China will have a requirement on higher working efficiency of agricultural soil-engaging components.The adhesion and resistance are main problems for so...The reduction of water resources and soil fertility in Northeast China will have a requirement on higher working efficiency of agricultural soil-engaging components.The adhesion and resistance are main problems for soil-engaging tillage components.However,the soil-burrowing or soil-digging animals give inspirations to resolve those problems.Their fair,claw,toe,textured surface and scales have functions of anti-adhesion or resistance reduction.Those results provide a way to realize the sustainable development of modern agriculture by developing novel biomimetic agricultural machinery systems with independent intellectual property rights to meet conservation tillage requirements in the Northern China region.Biological structures of some soil-burrowing or soil-digging animals,such as beetle,mole cricket,earthworm,mole,vole,pangolin,and snake,as well as their mechanisms of anti-adhesion or reducing resistance were reviewed in this paper.Bioinspired applications in Northeast China were also presented in the paper,including moldboard,subsoiler components,furrow opener,roller,and biomimetic rototilling-stubble-breaking blade.In addition,the existed problems in agricultural engineering and the future development trends were discussed.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
Kang et al published a study recently in the World Journal of Gastroenterology introducing an interpretable machine learning model to predict anastomotic leakage after rectal cancer surgery,highlighting postoperative ...Kang et al published a study recently in the World Journal of Gastroenterology introducing an interpretable machine learning model to predict anastomotic leakage after rectal cancer surgery,highlighting postoperative serum calcium as a key predictive feature.While this represents a significant advancement,we argue that reliance on a static calcium threshold may limit clinical applicability.We advocate for a dynamic,trajectory-based assessment of serum calcium levels across perioperative time points,using modeling approaches such as time-series regression or mixed-effects models.Furthermore,the model’s robustness could be improved by incorporating systemic inflammation and nutritional indices such as C-reactive protein,procalcitonin,the neutrophil-to-lymphocyte ratio,and the systemic immune-inflammation index,supported by recent prospective studies.Finally,generalizability remains a concern,warranting broader validation and clearer clinical deployment strategies.By addressing these aspects,the model’s clinical translation and decision-making impact could be substantially enhanced.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
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
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
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
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
文摘Amelioration of saline-sodic soils through land preparation with three tillage implements （disc plow, rotavator and cultivator） each followed by application of sulfuric acid at 20% of gypsum （CaSO4-2H2O） requirement or no sulfuric acid application during crop growth period was evaluated in a field study for 2.5 years at three sites, i.e., Jhottianwala, Gabrika （Thabal）, and Thatta Langar, in Tehsil Pindi Bhattian, Hafizahad District, Pakistan. Within 2.5 years, there was a decrease in the salinity parameters measured （electrical conductivity, pH, and sodium adsorption ratio）, with a gradual increase in rice and wheat grain yields. It was observed that the disc plow, which not only ensured favorable yields but also helped improve soil health at all the three sites, was the most effective tillage implement. Also, application of sulfuric acid resulted in higher yields and promoted rapid amelioration of the saline-sodic soils.
文摘The low stress abrasion behaviours of heat treated mild, medium carbon and high C - low Cr steels, which are generally used in making farm implements, have been investigated. The simple heat treatment greatly improves the hardness, tensile strength and abrasion resistance of medium carbon and high C - low Cr steels. The results indicate that the material removal during abrasion is controlled by a number of factors, such as hardness, chemical composition, microstructure and heat treatment conditions. The conclusion is that the heat treated high C - low Cr steel and mild steel carburized by using coaltar pitch provide the best hardness and abrasion resistance and thus appear to be the most suitable materials for making agricultural tools.
文摘Most TibetanBuddhist ritualimplements andsacrificialobjects were cast in gold,silver or copper, in additionto those made of wood,bone,stone,shells,cloth,silks and brocade heyconstitute an important partof he treasure house ofTibetan Buddhism.
基金funded by the Laboratory of Lingnan Modern Agriculture Project(Grant No.NT2021009)National Natural Science Foundation of China(Grant No.32071913No.32101623).
文摘To improve the GNSS receiver’s accuracy,continuity,and stability in measuring the height of agricultural implements,this study proposed a variable-parameter Kalman filter(VPKF)algorithm based on GNSS and accelerometer to estimate the height of the implements optimally.The VPKF was verified,and its accuracy was evaluated by parallel rail platform and field tests.From the parallel rail test results,when the GNSS receiver was in real-time kinematic(RTK)positioning and the time delay of differential correction data(TDDCD)was less than or equal to 4 s,the root mean square error(RMSE)of the VPKF estimation was 9.82 mm.The RMSE of the GNSS measurement was 18.85 mm.When the GNSS receiver lost differential correction data within 28 s,the absolute error of VPKF was less than 30 mm,and the RMSE was 16.93 mm.The field test results showed that when the GNSS receiver was in RTK positioning and the TDDCD was less than or equal to 4 s,the RMSE of VPKF estimation was 13.43 mm,and the GNSS measurement was 14.56 mm.When the GNSS receiver lost differential correction data within 28 s,the RMSE of the VPKF estimate was 15.22 mm.These results show that VPKF can optimally estimate implement height with better accuracy.Overall,the VPKF can obtain a more accurate,continuous,and stable height of the implement,and increase the application scenarios of the GNSS receiver to measure the implement height.
基金National Science&Technology Pillar Program of China in the Twelfth Five-year Plan Period(2014BAD06B03)and by“Project 985”of Jilin University.
文摘The reduction of water resources and soil fertility in Northeast China will have a requirement on higher working efficiency of agricultural soil-engaging components.The adhesion and resistance are main problems for soil-engaging tillage components.However,the soil-burrowing or soil-digging animals give inspirations to resolve those problems.Their fair,claw,toe,textured surface and scales have functions of anti-adhesion or resistance reduction.Those results provide a way to realize the sustainable development of modern agriculture by developing novel biomimetic agricultural machinery systems with independent intellectual property rights to meet conservation tillage requirements in the Northern China region.Biological structures of some soil-burrowing or soil-digging animals,such as beetle,mole cricket,earthworm,mole,vole,pangolin,and snake,as well as their mechanisms of anti-adhesion or reducing resistance were reviewed in this paper.Bioinspired applications in Northeast China were also presented in the paper,including moldboard,subsoiler components,furrow opener,roller,and biomimetic rototilling-stubble-breaking blade.In addition,the existed problems in agricultural engineering and the future development trends were discussed.
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 by Clinical Translational Medicine Project of the Department of Science and Technology of Anhui Province,No.202427b10020138.
文摘Kang et al published a study recently in the World Journal of Gastroenterology introducing an interpretable machine learning model to predict anastomotic leakage after rectal cancer surgery,highlighting postoperative serum calcium as a key predictive feature.While this represents a significant advancement,we argue that reliance on a static calcium threshold may limit clinical applicability.We advocate for a dynamic,trajectory-based assessment of serum calcium levels across perioperative time points,using modeling approaches such as time-series regression or mixed-effects models.Furthermore,the model’s robustness could be improved by incorporating systemic inflammation and nutritional indices such as C-reactive protein,procalcitonin,the neutrophil-to-lymphocyte ratio,and the systemic immune-inflammation index,supported by recent prospective studies.Finally,generalizability remains a concern,warranting broader validation and clearer clinical deployment strategies.By addressing these aspects,the model’s clinical translation and decision-making impact could be substantially enhanced.
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.
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.
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 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.
