Cardiovascular diseases are the leading cause of death,requiring innovative approaches for prevention,diagnosis,and treatment.Personalized medicine customizes interventions according to individual characteristics,with...Cardiovascular diseases are the leading cause of death,requiring innovative approaches for prevention,diagnosis,and treatment.Personalized medicine customizes interventions according to individual characteristics,with artificial intelligence(AI)playing a key role in analyzing complex data to improve diagnostic accuracy,predict outcomes,and optimize therapies.AI can identify patterns in imaging and biomarkers,facilitating the earlier detection of medical conditions.Wearable devices and health applications facilitate continuous monitoring and personalized care.Emerging fields such as digital Chinese medicine offer additional perspectives by integrating traditional diagnostic principles with modern digital tools,contributing to holistic and individualized cardiovascular care.This study examines the advancements and challenges in personalized cardiovascular medicine,highlighting the need to address issues such as data privacy,algorithmic bias,and accessibility to promote the equitable application of personalized medicine.展开更多
Neuroinflammation has been identified as a crucial element in several neurological disorders. Glial cells play a critical role in directing neuroinflammation, both in deleterious and beneficial ways.
This article explores the ethical considerations surrounding the reporting of offlabel and experimental treatments in medical case reports,with a focus on fields such as oncology,psychiatry,and pediatrics.It emphasize...This article explores the ethical considerations surrounding the reporting of offlabel and experimental treatments in medical case reports,with a focus on fields such as oncology,psychiatry,and pediatrics.It emphasizes the balance between innovation and evidence-based medicine,highlighting the critical role of case reports in disseminating clinical experiences and advancing medical knowledge.The discussion delves into the ethical framework guiding case reporting,including principles of patient autonomy,informed consent,non-maleficence,beneficence,justice,and transparency.Challenges such as negative outcome reporting,commercial interests,and the balance between innovation and caution are examined.Recommendations for ethical vigilance,the development of comprehensive guidelines,and the role of regulatory bodies are proposed to ensure patient safety and uphold scientific integrity.The article concludes by underscoring the importance of a collaborative effort among clinicians,researchers,ethicists,and regulatory bodies to foster the responsible advancement of medical science while adhering to the highest ethical standards.展开更多
Dealing with data scarcity is the biggest challenge faced by Artificial Intelligence(AI),and it will be interesting to see how we overcome this obstacle in the future,but for now,“THE SHOW MUST GO ON!!!”As AI spread...Dealing with data scarcity is the biggest challenge faced by Artificial Intelligence(AI),and it will be interesting to see how we overcome this obstacle in the future,but for now,“THE SHOW MUST GO ON!!!”As AI spreads and transforms more industries,the lack of data is a significant obstacle:the best methods for teaching machines how real-world processes work.This paper explores the considerable implications of data scarcity for the AI industry,which threatens to restrict its growth and potential,and proposes plausible solutions and perspectives.In addition,this article focuses highly on different ethical considerations:privacy,consent,and non-discrimination principles during AI model developments under limited conditions.Besides,innovative technologies are investigated through the paper in aspects that need implementation by incorporating transfer learning,few-shot learning,and data augmentation to adapt models so they could fit effective use processes in low-resource settings.This thus emphasizes the need for collaborative frameworks and sound methodologies that ensure applicability and fairness,tackling the technical and ethical challenges associated with data scarcity in AI.This article also discusses prospective approaches to dealing with data scarcity,emphasizing the blend of synthetic data and traditional models and the use of advanced machine learning techniques such as transfer learning and few-shot learning.These techniques aim to enhance the flexibility and effectiveness of AI systems across various industries while ensuring sustainable AI technology development amid ongoing data scarcity.展开更多
Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based ...Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based on literature research,the specific classification methods,classification principles and considerations of biological registration in China,the United States and the European Union were studied to form a complete comparative analysis.Results and Conclusion It is recommended that the division between therapeutic and preventive use should be removed from the registration classification of biologics.The therapeutic,preventive and diagnostic use of the product should be limited as part of the product specification,and the registration should be classified according to the development of biotechnology,innovation,modification and bio-similar drugs.In addition,the supervision of registration of advanced therapeutic products should be different from that of traditional biologics.展开更多
In the past year,several advancements have been achieved in the treatment of advanced non-small cell lung cancer(NSCLC),particularly in the areas of immunotherapy and targeted therapy.These achievements have provided ...In the past year,several advancements have been achieved in the treatment of advanced non-small cell lung cancer(NSCLC),particularly in the areas of immunotherapy and targeted therapy.These achievements have provided additional options for improving patient outcomes.The 2024 Chinese Society of Clinical Oncology Guidelines for NSCLC(CSCO NSCLC),a key reference for clinical oncologists in China,have incorporated current global research and adapted recommendations for applicability in real-world scenarios in China.This update covers not only patient selection,efficacy,and safety,but also considers economics,and accessibility,with an aim to provide more precise and comprehensive treatment guidance for Chinese oncologists.展开更多
Currently,generative AI technologies and services worldwide are experiencing explosive growth.While driving technological innovation and productivity advancement in the social economy,they also precipitate multiple le...Currently,generative AI technologies and services worldwide are experiencing explosive growth.While driving technological innovation and productivity advancement in the social economy,they also precipitate multiple le-gal risks,ethical breaches in technology,and social governance challenges.Distinct regulatory pathways have emerged internationally:the EU promotes a rigid governance system through a unified regulatory framework and centralized oversight mechanisms,though concurrently exhibiting a trend of deferred legal application;the United States adopts an advocacy-based regulatory strategy combining principled guidance with corporate self-compliance;the United King-dom implements a non-mandatory principled framework establishing a compromise-based governance model.Grounded in China's strategic imperative to engage in global AI competition and informed by international experi-ences,the legal governance framework for generative AI must incorporate practical legislative imperatives,anchored in the dynamic adaptation between technological iteration and legal regulation,alongside the recalibration of developmen-tal efficacy against security risks.This necessitates establishing tiered safety thresholds and controllability require-ments within the governance architecture.Accordingly,there is an urgent need to enhance institutional provision and policy coordination,construct a multi-stakeholder long-term mechanism integrating administrative supervision,indus-try self-regulation,and technical governance,and formulate scenario-specific liability rules covering the entire life cycle from R&D to deployment-thereby avoiding arbitrary legislative uniformity.The ultimate objective is to forge a comprehensive governance ecosystem characterized by trustworthiness and security as its foundation,and prudence,in-clusiveness,and dynamic adaptability as its defining features.展开更多
In accordance with the Guiding Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovation of Traditional Chinese Medicine(TCM),the China Associa...In accordance with the Guiding Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovation of Traditional Chinese Medicine(TCM),the China Association of Chinese Medicine(CACM)organized multidisciplinary symposia on TCM-dominant diseases with the aim of advancing research on clinically dominant diseases in TCM,supporting specialty development,cultivating clinical talent,developing strategic plans for national science,and fostering academic innovation.The 42nd Academic Salon on Clinically Dominant Diseases,which was convened in Shanghai on 24 November 2024,brought together TCM experts,Western medicine experts,and interdisciplinary researchers for in-depth discussions on the current status,strengths,and limitations of and strategies to improve the integrated diagnosis and treatment of plasma cell mastitis(PCM).While consensus had been reached on recommendations for TCM and integrated approaches,detailed research pathways remain to be developed.In this work,we systematically examine the pathogenesis of and clinical management challenges related to PCM.Building on the therapeutic strengths of TCM,we propose 5 prioritized research domains with corresponding scientific planning:(1)Early identification and intervention strategies for PCM;(2)Optimization of TCM syndrome differentiation systems for PCM;(3)Standardization of efficient evaluation metrics for PCM therapies;(4)Mechanistic studies on the pathogenesis of PCM and TCM therapeutic targets;(5)Prevention protocols and complication management frameworks for PCM.We further delineate recommended research directions,anticipated outcomes,value propositions,and funding priorities.The aim of this research model,which was derived from the PCM-focused academic salon series,is to advance the development of high-quality TCM practices by informing national scientific planning,innovative drug development,research priorities,and the formulation of clinical guidelines.展开更多
Verbs in Tibetan hold an important position in Tibetan grammar and spellings.As complicated theories and wide range of application,some mistakes of actual use are easily made such as disobeying the Linguistic theories...Verbs in Tibetan hold an important position in Tibetan grammar and spellings.As complicated theories and wide range of application,some mistakes of actual use are easily made such as disobeying the Linguistic theories and non-canonical use,which can be found in the academic journals and literary works.The problems found in the actual use of verbs become an obstacle of proper delivery of authors'message to the readers.These problems received a great attention from the academic circle,though yet to conduct thorough research.This article discusses the complicated problems focusing on the issues such as the differences of the transitive verbs and intransitive verbs and actual usage of the verbs,three tenses of the verbs and actual usage,formation of the gerund,the use of negative words on the verbs.展开更多
Cloud computing plays a significant role in modern information technology, providing organizations with numerous benefits, including flexibility, scalability, and cost-efficiency. However, it has become essential for ...Cloud computing plays a significant role in modern information technology, providing organizations with numerous benefits, including flexibility, scalability, and cost-efficiency. However, it has become essential for organizations to ensure the security of their applications, data, and cloud-based networks to use cloud services effectively. This systematic literature review aims to determine the latest information regarding cloud computing security, with a specific emphasis on threats and mitigation strategies. Additionally, it highlights some common threats related to cloud computing security, such as distributed denial-of-service (DDoS) attacks, account hijacking, malware attacks, and data breaches. This research also explores some mitigation strategies, including security awareness training, vulnerability management, security information and event management (SIEM), identity and access management (IAM), and encryption techniques. It discusses emerging trends in cloud security, such as integrating artificial intelligence (AI) and machine learning (ML), serverless computing, and containerization, as well as the effectiveness of the shared responsibility model and its related challenges. The importance of user awareness and the impact of emerging technologies on cloud security have also been discussed in detail to mitigate security risks. A literature review of previous research and scholarly articles has also been conducted to provide insights regarding cloud computing security. It shows the need for continuous research and innovation to address emerging threats and maintain a security-conscious culture in the company.展开更多
Surveillance systems are vital for detecting,managing,and mitigating infectious disease outbreaks.This review highlights the importance of modern technologies like AI and big data in enhancing surveillancecapabilities...Surveillance systems are vital for detecting,managing,and mitigating infectious disease outbreaks.This review highlights the importance of modern technologies like AI and big data in enhancing surveillancecapabilities.It underscores the need for global collaboration and examines the role of surveillance in diseases likeinfluenza,Ebola,and COVID-19.Technological innovations such as geospatial mapping and wearable healthdevices are transforming disease control,though they raise ethical concerns about privacy.Continuousadvancements and ethical safeguards are crucial for effective surveillance and global health protection.展开更多
One Health approach is a global public good(GPG)that invites governance to maximize the health of humans,animals,and the environment by shaping interdisciplinary and cross-sectoral collaboration.This paper explores th...One Health approach is a global public good(GPG)that invites governance to maximize the health of humans,animals,and the environment by shaping interdisciplinary and cross-sectoral collaboration.This paper explores the theoretical foundations,practical applications,and ethical considerations of the One Health governance architecture.At the theoretical level,One Health governance invites systems thinking and involves collaborative efforts among multiple stakeholders,applying across multi-layered scenarios and requires public-private partnership(PPP).This governance architecture transcends traditional anthropocentrism and shifts towards ecocentrism,highlighting the integrity of ecosystems and the deep prevention of diseases.Selected case studies illustrate the implementation of One Health initiatives,such as shared water resources,disease surveillance programmes,and sustainable environmental health interventions,demonstrating the added value of a collaborative efforts across sectors and regions.Ethical considerations are integral to decision-making and actions of One Health governance,with a focus on equity,inclusivity and accountability,providing moral guidelines to prioritize the health of vulnerable populations and ecosystems.Through these efforts,One Health governance is expected to improve public health globally,promote sustainable development,and achieve a harmonious coexistence of human,animal,and environmental health.展开更多
Two hydroelectric power stations built by China have considerably improved the quality of life for Guineans.For Sonkou Condé,28 September is an unforgettable date,because that is when the Kaléta dam,a projec...Two hydroelectric power stations built by China have considerably improved the quality of life for Guineans.For Sonkou Condé,28 September is an unforgettable date,because that is when the Kaléta dam,a project in which he was actively involved as an employee,was inaugurated.On this day,traditional Guinean music resounded over the construction site,accompanied by singing and dancing,which vividly displayed the joy and satisfaction of the local people.展开更多
Science enables students to seek knowledge and practice relevant scientific processes to provide meaningful solutions or information that can contribute to the development of society.This study aimed to create a scien...Science enables students to seek knowledge and practice relevant scientific processes to provide meaningful solutions or information that can contribute to the development of society.This study aimed to create a science learning activity for senior high school students that integrates learning skills in science such as information retrieval,scientific reading,data representation,scientific writing,and knowledge presentation.The subjects of this study,which was employed through purposive sampling,were Grade 12 STEM students and Science teachers from Batangas’2nd Congressional District-Area II.Documentary analysis was used to analyze the least mastered competencies in earth science,general biology,general chemistry,and general physics.An interview was also used to reinforce the data collection and analysis.The content’s relevancy influences the students’attitudes and interests,the teachers’teaching tactics,and the opportunity to learn collaboratively.The student’s learning skills in science were honed by the learning activities provided by their teacher.However,the students’data representation and knowledge presentation skills must be strengthened.Different pedagogical considerations may be emphasized in developing a learning activity to boost student engagement and achieve a better learning experience.展开更多
To make oral test accurately reflect the actual English spoken ability of candidates and play its role in guiding and promoting the improvement of English learners in the teaching, we must ensure that the design of sc...To make oral test accurately reflect the actual English spoken ability of candidates and play its role in guiding and promoting the improvement of English learners in the teaching, we must ensure that the design of scientific questions, the feasibility and validity of judgments to make an accurate and fair measurement of testers' language ability.展开更多
Speaking is the main purpose and most important skill for second language learning.This paper reviews the important validity considerations in designing a test,such as face validity,content validity,on the basis of wh...Speaking is the main purpose and most important skill for second language learning.This paper reviews the important validity considerations in designing a test,such as face validity,content validity,on the basis of which the author analyzes the oral test paper for the postgraduate entrance interview in Shaanxi University of Technology,thus putting forward some methods to improve the test paper.展开更多
文摘Cardiovascular diseases are the leading cause of death,requiring innovative approaches for prevention,diagnosis,and treatment.Personalized medicine customizes interventions according to individual characteristics,with artificial intelligence(AI)playing a key role in analyzing complex data to improve diagnostic accuracy,predict outcomes,and optimize therapies.AI can identify patterns in imaging and biomarkers,facilitating the earlier detection of medical conditions.Wearable devices and health applications facilitate continuous monitoring and personalized care.Emerging fields such as digital Chinese medicine offer additional perspectives by integrating traditional diagnostic principles with modern digital tools,contributing to holistic and individualized cardiovascular care.This study examines the advancements and challenges in personalized cardiovascular medicine,highlighting the need to address issues such as data privacy,algorithmic bias,and accessibility to promote the equitable application of personalized medicine.
基金supported by a grant from the Basic Science Research Program through the National Research Foundation(NRF),which is funded by the Korean government(MSIP)(NRF-2020M3E5D9079764)(to KS)。
文摘Neuroinflammation has been identified as a crucial element in several neurological disorders. Glial cells play a critical role in directing neuroinflammation, both in deleterious and beneficial ways.
文摘This article explores the ethical considerations surrounding the reporting of offlabel and experimental treatments in medical case reports,with a focus on fields such as oncology,psychiatry,and pediatrics.It emphasizes the balance between innovation and evidence-based medicine,highlighting the critical role of case reports in disseminating clinical experiences and advancing medical knowledge.The discussion delves into the ethical framework guiding case reporting,including principles of patient autonomy,informed consent,non-maleficence,beneficence,justice,and transparency.Challenges such as negative outcome reporting,commercial interests,and the balance between innovation and caution are examined.Recommendations for ethical vigilance,the development of comprehensive guidelines,and the role of regulatory bodies are proposed to ensure patient safety and uphold scientific integrity.The article concludes by underscoring the importance of a collaborative effort among clinicians,researchers,ethicists,and regulatory bodies to foster the responsible advancement of medical science while adhering to the highest ethical standards.
基金supported by Internal Research Support Program(IRSPG202202).
文摘Dealing with data scarcity is the biggest challenge faced by Artificial Intelligence(AI),and it will be interesting to see how we overcome this obstacle in the future,but for now,“THE SHOW MUST GO ON!!!”As AI spreads and transforms more industries,the lack of data is a significant obstacle:the best methods for teaching machines how real-world processes work.This paper explores the considerable implications of data scarcity for the AI industry,which threatens to restrict its growth and potential,and proposes plausible solutions and perspectives.In addition,this article focuses highly on different ethical considerations:privacy,consent,and non-discrimination principles during AI model developments under limited conditions.Besides,innovative technologies are investigated through the paper in aspects that need implementation by incorporating transfer learning,few-shot learning,and data augmentation to adapt models so they could fit effective use processes in low-resource settings.This thus emphasizes the need for collaborative frameworks and sound methodologies that ensure applicability and fairness,tackling the technical and ethical challenges associated with data scarcity in AI.This article also discusses prospective approaches to dealing with data scarcity,emphasizing the blend of synthetic data and traditional models and the use of advanced machine learning techniques such as transfer learning and few-shot learning.These techniques aim to enhance the flexibility and effectiveness of AI systems across various industries while ensuring sustainable AI technology development amid ongoing data scarcity.
文摘Objective To provide a theoretical basis for the adjustment of the registration classification of China’s biological products,and to establish a continuously improved registration classification system.Methods Based on literature research,the specific classification methods,classification principles and considerations of biological registration in China,the United States and the European Union were studied to form a complete comparative analysis.Results and Conclusion It is recommended that the division between therapeutic and preventive use should be removed from the registration classification of biologics.The therapeutic,preventive and diagnostic use of the product should be limited as part of the product specification,and the registration should be classified according to the development of biotechnology,innovation,modification and bio-similar drugs.In addition,the supervision of registration of advanced therapeutic products should be different from that of traditional biologics.
基金supported by the Shanghai Excellent Academic Leader(Grant No.21XD1423200)。
文摘In the past year,several advancements have been achieved in the treatment of advanced non-small cell lung cancer(NSCLC),particularly in the areas of immunotherapy and targeted therapy.These achievements have provided additional options for improving patient outcomes.The 2024 Chinese Society of Clinical Oncology Guidelines for NSCLC(CSCO NSCLC),a key reference for clinical oncologists in China,have incorporated current global research and adapted recommendations for applicability in real-world scenarios in China.This update covers not only patient selection,efficacy,and safety,but also considers economics,and accessibility,with an aim to provide more precise and comprehensive treatment guidance for Chinese oncologists.
基金This Research Was Funded by the Key Project of Humanities and Social Science Study from the Ministry of Education"Research on the Consideration and Promotion of Human Rights Benchmarks in Global Data Competition"(19JJD820009)。
文摘Currently,generative AI technologies and services worldwide are experiencing explosive growth.While driving technological innovation and productivity advancement in the social economy,they also precipitate multiple le-gal risks,ethical breaches in technology,and social governance challenges.Distinct regulatory pathways have emerged internationally:the EU promotes a rigid governance system through a unified regulatory framework and centralized oversight mechanisms,though concurrently exhibiting a trend of deferred legal application;the United States adopts an advocacy-based regulatory strategy combining principled guidance with corporate self-compliance;the United King-dom implements a non-mandatory principled framework establishing a compromise-based governance model.Grounded in China's strategic imperative to engage in global AI competition and informed by international experi-ences,the legal governance framework for generative AI must incorporate practical legislative imperatives,anchored in the dynamic adaptation between technological iteration and legal regulation,alongside the recalibration of developmen-tal efficacy against security risks.This necessitates establishing tiered safety thresholds and controllability require-ments within the governance architecture.Accordingly,there is an urgent need to enhance institutional provision and policy coordination,construct a multi-stakeholder long-term mechanism integrating administrative supervision,indus-try self-regulation,and technical governance,and formulate scenario-specific liability rules covering the entire life cycle from R&D to deployment-thereby avoiding arbitrary legislative uniformity.The ultimate objective is to forge a comprehensive governance ecosystem characterized by trustworthiness and security as its foundation,and prudence,in-clusiveness,and dynamic adaptability as its defining features.
基金supported by the 2024 Youth Academic Salon Project on Clinically Dominant Diseases by the Chinese Society of Traditional Chinese Medicine(No.2024-QNXSSL-06)the National Natural Science Foundation of China(No.82104854)+2 种基金the Shanghai“Rising Stars of Medical Talents”Youth Development Program that Youth Medical Talents Specialist Program(2023-33)the Shanghai Shenkang Hospital Development Center’s Second Three-Year Action Plan for Promoting Clinical Skills and Innovation in Municipal Hospitals(2020–2022)that Major Clinical Research Project(No.SHDC2020CR2051B)the Major Difficult and Complicated Diseases Collaborative Project of Traditional Chinese and Western Medicine by the National Administration of Traditional Chinese Medicine:Plasma Cell Mastitis(No.19).
文摘In accordance with the Guiding Opinions of the Central Committee of the Communist Party of China and the State Council on Promoting the Inheritance and Innovation of Traditional Chinese Medicine(TCM),the China Association of Chinese Medicine(CACM)organized multidisciplinary symposia on TCM-dominant diseases with the aim of advancing research on clinically dominant diseases in TCM,supporting specialty development,cultivating clinical talent,developing strategic plans for national science,and fostering academic innovation.The 42nd Academic Salon on Clinically Dominant Diseases,which was convened in Shanghai on 24 November 2024,brought together TCM experts,Western medicine experts,and interdisciplinary researchers for in-depth discussions on the current status,strengths,and limitations of and strategies to improve the integrated diagnosis and treatment of plasma cell mastitis(PCM).While consensus had been reached on recommendations for TCM and integrated approaches,detailed research pathways remain to be developed.In this work,we systematically examine the pathogenesis of and clinical management challenges related to PCM.Building on the therapeutic strengths of TCM,we propose 5 prioritized research domains with corresponding scientific planning:(1)Early identification and intervention strategies for PCM;(2)Optimization of TCM syndrome differentiation systems for PCM;(3)Standardization of efficient evaluation metrics for PCM therapies;(4)Mechanistic studies on the pathogenesis of PCM and TCM therapeutic targets;(5)Prevention protocols and complication management frameworks for PCM.We further delineate recommended research directions,anticipated outcomes,value propositions,and funding priorities.The aim of this research model,which was derived from the PCM-focused academic salon series,is to advance the development of high-quality TCM practices by informing national scientific planning,innovative drug development,research priorities,and the formulation of clinical guidelines.
文摘Verbs in Tibetan hold an important position in Tibetan grammar and spellings.As complicated theories and wide range of application,some mistakes of actual use are easily made such as disobeying the Linguistic theories and non-canonical use,which can be found in the academic journals and literary works.The problems found in the actual use of verbs become an obstacle of proper delivery of authors'message to the readers.These problems received a great attention from the academic circle,though yet to conduct thorough research.This article discusses the complicated problems focusing on the issues such as the differences of the transitive verbs and intransitive verbs and actual usage of the verbs,three tenses of the verbs and actual usage,formation of the gerund,the use of negative words on the verbs.
文摘Cloud computing plays a significant role in modern information technology, providing organizations with numerous benefits, including flexibility, scalability, and cost-efficiency. However, it has become essential for organizations to ensure the security of their applications, data, and cloud-based networks to use cloud services effectively. This systematic literature review aims to determine the latest information regarding cloud computing security, with a specific emphasis on threats and mitigation strategies. Additionally, it highlights some common threats related to cloud computing security, such as distributed denial-of-service (DDoS) attacks, account hijacking, malware attacks, and data breaches. This research also explores some mitigation strategies, including security awareness training, vulnerability management, security information and event management (SIEM), identity and access management (IAM), and encryption techniques. It discusses emerging trends in cloud security, such as integrating artificial intelligence (AI) and machine learning (ML), serverless computing, and containerization, as well as the effectiveness of the shared responsibility model and its related challenges. The importance of user awareness and the impact of emerging technologies on cloud security have also been discussed in detail to mitigate security risks. A literature review of previous research and scholarly articles has also been conducted to provide insights regarding cloud computing security. It shows the need for continuous research and innovation to address emerging threats and maintain a security-conscious culture in the company.
文摘Surveillance systems are vital for detecting,managing,and mitigating infectious disease outbreaks.This review highlights the importance of modern technologies like AI and big data in enhancing surveillancecapabilities.It underscores the need for global collaboration and examines the role of surveillance in diseases likeinfluenza,Ebola,and COVID-19.Technological innovations such as geospatial mapping and wearable healthdevices are transforming disease control,though they raise ethical concerns about privacy.Continuousadvancements and ethical safeguards are crucial for effective surveillance and global health protection.
基金supported by the Major projects of the National Social Science Fund of China[grant number 20&ZD201].
文摘One Health approach is a global public good(GPG)that invites governance to maximize the health of humans,animals,and the environment by shaping interdisciplinary and cross-sectoral collaboration.This paper explores the theoretical foundations,practical applications,and ethical considerations of the One Health governance architecture.At the theoretical level,One Health governance invites systems thinking and involves collaborative efforts among multiple stakeholders,applying across multi-layered scenarios and requires public-private partnership(PPP).This governance architecture transcends traditional anthropocentrism and shifts towards ecocentrism,highlighting the integrity of ecosystems and the deep prevention of diseases.Selected case studies illustrate the implementation of One Health initiatives,such as shared water resources,disease surveillance programmes,and sustainable environmental health interventions,demonstrating the added value of a collaborative efforts across sectors and regions.Ethical considerations are integral to decision-making and actions of One Health governance,with a focus on equity,inclusivity and accountability,providing moral guidelines to prioritize the health of vulnerable populations and ecosystems.Through these efforts,One Health governance is expected to improve public health globally,promote sustainable development,and achieve a harmonious coexistence of human,animal,and environmental health.
文摘Two hydroelectric power stations built by China have considerably improved the quality of life for Guineans.For Sonkou Condé,28 September is an unforgettable date,because that is when the Kaléta dam,a project in which he was actively involved as an employee,was inaugurated.On this day,traditional Guinean music resounded over the construction site,accompanied by singing and dancing,which vividly displayed the joy and satisfaction of the local people.
文摘Science enables students to seek knowledge and practice relevant scientific processes to provide meaningful solutions or information that can contribute to the development of society.This study aimed to create a science learning activity for senior high school students that integrates learning skills in science such as information retrieval,scientific reading,data representation,scientific writing,and knowledge presentation.The subjects of this study,which was employed through purposive sampling,were Grade 12 STEM students and Science teachers from Batangas’2nd Congressional District-Area II.Documentary analysis was used to analyze the least mastered competencies in earth science,general biology,general chemistry,and general physics.An interview was also used to reinforce the data collection and analysis.The content’s relevancy influences the students’attitudes and interests,the teachers’teaching tactics,and the opportunity to learn collaboratively.The student’s learning skills in science were honed by the learning activities provided by their teacher.However,the students’data representation and knowledge presentation skills must be strengthened.Different pedagogical considerations may be emphasized in developing a learning activity to boost student engagement and achieve a better learning experience.
文摘To make oral test accurately reflect the actual English spoken ability of candidates and play its role in guiding and promoting the improvement of English learners in the teaching, we must ensure that the design of scientific questions, the feasibility and validity of judgments to make an accurate and fair measurement of testers' language ability.
文摘Speaking is the main purpose and most important skill for second language learning.This paper reviews the important validity considerations in designing a test,such as face validity,content validity,on the basis of which the author analyzes the oral test paper for the postgraduate entrance interview in Shaanxi University of Technology,thus putting forward some methods to improve the test paper.
