To ensure the success of the e-learning initiatives,OUM has developed its own e-learning management system,known as myLMS.Since its introduction,many modifications and improvements have been introduced to increase its...To ensure the success of the e-learning initiatives,OUM has developed its own e-learning management system,known as myLMS.Since its introduction,many modifications and improvements have been introduced to increase its effectiveness.It is now timely that OUM take stock of its students'attitudes towards e-learning.Thus,a survey was conducted on about 1,000 students at one of OUM's own learning centres,that is,the Kelantan Regional Centrel.The study indicated that generally the teacher cohort had a somewhat neutral attitude towards e-learning.The use of e-learning was more specifically aimed at achieving short term goals of obtaining good coursework and examination grades by capitalizing on the use of the Discussion Board and Courseware.A closer examination reveals that the females prefer the Discussion Board while the males prefer the Courseware.Learners in the Engineering and English programmes had more positive attitudes towards e-learning compared to learners in the Mathematics and Science programme. Learners with CGPA＞3.0 who are categorized as high achievers are more positive towards e-learning as compared to the low achievers(CGPA＜3.0).Age difference,learners‘income per month,learners’Internet and e-learning habits were also found to be predictors of attitude towards e-learning.展开更多
After a brief analysis of the concept of quality in open and distance education, information technology for quality assurance and Indian initiative for quality improvement, the paper examines the quality assurance mea...After a brief analysis of the concept of quality in open and distance education, information technology for quality assurance and Indian initiative for quality improvement, the paper examines the quality assurance measures at Kota Open University under the following areas: planning academic programmes; developing academic programmes; producing learning materials; implementing programmes; reviewing courses/programmes; and developing human resources.展开更多
English is considered as Arab students＇ second language which is not used frequently in their daily conversations. Since writing in English is a challenging experience for Omani students, errors in grammar and senten...English is considered as Arab students＇ second language which is not used frequently in their daily conversations. Since writing in English is a challenging experience for Omani students, errors in grammar and sentence structures were identified in bridging language courses （foundation level 2） in the field of ESL （English as a Second Language}. Learners＇ errors were considered positively as the best sources to identify students＇ limitations in English writing. The present study investigates the structure errors of Omani students＇ writings in English in foundation level 2 at Arab Open University. The focal aim is to study the errors that Ornani students commit when they are using adjectives ＋ nouns, indefinite articles, and subordinate conjunction ＂because＂. Results show that Omani students committed the following common errors： misplacement of adjectives, omission of the indefinite articles, and wrong structure of the subordinate conjunction （because）. The prime aim of this study is to examine the students＇ aforementioned structural errors which are the result of the interference of their mother-tongue. In order to achieve these aims, students were asked to write two different topics. Finally, this research suggests further recommendations for further studies which might ameliorate students＇ learning by adopting appropriate strategies for teaching.展开更多
Microscale chemistry laboratory is environmentaly friendly and embodies green and sustainable chemistry,since the amount of reagents,waste,energy,and cost can be reduced dramatically.……
The rapid development of information technology in the digital era has led the development and reform in the field of education.Both the transformation and high-quality development of open universities have put forwar...The rapid development of information technology in the digital era has led the development and reform in the field of education.Both the transformation and high-quality development of open universities have put forward higher requirements for open education governance.Focusing on the important field of open education governance,this study,from the perspective of university governance,deeply explores the practical dilemmas faced by open education governance,such as unclear development positioning,difficulties in transformation and development,inadequate learning support services,insufficient depth of teaching reform,and weak professional development of teachers.In the lifelong learning education ecology of universal education,open education governance should focus on“useful and easy learning”,focus on industry-education integration,take serving society as its purpose,and promote the transformation and development of open education.Under the concept of collaboration and co-governance,a multi-subject collaborative governance mechanism should be built,and governance thinking should be actively implemented in open education and teaching affairs to accelerate the modernization of open education governance.This aims to realize the sustainable development of open education governance and provide strong theoretical support and practical guidance for building a more fair,high-quality,and flexible open education governance system.展开更多
At present, enhancing the digital literacy of village cadres faces practical constraints such as governance capability gaps induced by the second-level digital divide, the absence of a systematic cultivation system, i...At present, enhancing the digital literacy of village cadres faces practical constraints such as governance capability gaps induced by the second-level digital divide, the absence of a systematic cultivation system, incomplete last-kilometer implementation for translating skills into practice, and inadequate incentive mechanisms. As a novel educational form deeply integrating digital information technology with teaching and learning, distance open education provides multi-directional empowerment for enhancing village cadres digital literacy. This is achieved through open learning methods, the application of modern digital technologies, tailored learning programs, and the establishment of "overpass bridges" for translating learning outcomes into practice. Based on this, it is essential to further streamline the pathways for educating and cultivating village cadres, vigorously promote the digitalization of teaching, practice, and support services, develop systematic and localized digital education resources, and actively explore and establish a complementary credit bank system for their digital literacy cultivation.展开更多
The analysis on the learning behavior characteristics based on big data is beneficial for improving the learning resource construction,teaching mode and interactive mode of online course platforms.Multiple aspects of ...The analysis on the learning behavior characteristics based on big data is beneficial for improving the learning resource construction,teaching mode and interactive mode of online course platforms.Multiple aspects of analysis were conducted on nearly three million pieces of learning behavior data,which is from seven courses of 3,315 learners in the same major at a university.According to the quantity of course resources and policy of course scoring,four typical learning behaviors were selected,and the correlation between final exam results and learning behavior were analyzed.The analysis of behavior influences on the final exam results were also conducted.The analytical results give suggestions for online teaching and learning.展开更多
The chemical industry plays a critical role in supporting global economic development,yet its traditional production paradigms are associated with high resource consumption,energy demand,and environmental impact.To de...The chemical industry plays a critical role in supporting global economic development,yet its traditional production paradigms are associated with high resource consumption,energy demand,and environmental impact.To deal with the growing regulatory burden,societal demands,and environmental targets,eco-friendly processes in chemicals have become one of the major approaches to ensuring industrialization with environmental safety.This review includes an overall summary of the recent developments of green chemical processes with the focus on the basic principles,facilitating structures,and technologies that form the basis of sustainable chemical production.The most important advances in sustainable feedstocks,green catalysis,environmentally benign solvents,energy-efficient and intensified process technologies are also essential introductions,and the importance of digitalization,artificial intelligence,and life cycle-informed assessment tools in environmental performance optimization is also increasing.The review also discusses some of the barriers related to industry implementation,such as scalability,economic viability,and the necessity of having strong sustainability verification.Using chosen industrial case studies of China,South Korea,and Vietnam,various ways of integrating eco-friendly processes are demonstrated,including the adoption of renewable energy and low-carbon hydrogen,the adoption of circular plastics,and refinery energy optimization.Such examples demonstrate the significance of regional settings,system-level integration,and open environmental assessment in achieving significant sustainability results.The presented insights should guide the way future research proceeds and facilitate the shift toward the low-impact chemical manufacturing systems that are resilient.展开更多
In recent years, improving patients’ medical experience has become increasingly prominent in medical activities, and patient experience has become the core of medical service models. As an emerging visualization tool...In recent years, improving patients’ medical experience has become increasingly prominent in medical activities, and patient experience has become the core of medical service models. As an emerging visualization tool for exploring patient experience, patient journey mapping has been increasingly applied in the field of medical and health services, with unique advantages in exploring patient experience. This study reviews the overview, content and types, application and effects in the nursing field, and presentation methods of results of patient journey mapping, aiming to provide reference for improving patient experience.展开更多
Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks(GANs).Deepfake technology has many useful uses in education and entertainment,but it also raises a lot of ethical,socia...Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks(GANs).Deepfake technology has many useful uses in education and entertainment,but it also raises a lot of ethical,social,and security issues,such as identity theft,the dissemination of false information,and privacy violations.This study seeks to provide a comprehensive analysis of several methods for identifying and circumventing Deepfakes,with a particular focus on image-based Deepfakes.There are three main types of detection methods:classical,machine learning(ML)and deep learning(DL)-based,and hybrid methods.There are three main types of preventative methods:technical,legal,and moral.The study investigates the effectiveness of several detection approaches,such as convolutional neural networks(CNNs),frequency domain analysis,and hybrid CNN-LSTM models,focusing on the respective advantages and disadvantages of each method.We also look at new technologies like Explainable Artificial Intelligence(XAI)and blockchain-based frameworks.The essay looks at the use of algorithmic protocols,watermarking,and blockchain-based content verification as possible ways to stop certain things from happening.Recent advancements,including adversarial training and anti-Deepfake data generation,are essential because of their potential to alleviate rising concerns.This reviewshows that there aremajor problems,such as the difficulty of improving the capabilities of existing systems,the high running expenses,and the risk of being attacked by enemies.It stresses the importance of working together across fields,including academia,business,and government,to create robust,scalable,and ethical solutions.Themain goals of futurework should be to create lightweight,real-timedetection systems,connect them to large language models(LLMs),and put in place worldwide regulatory frameworks.This essay argues for a complete and varied plan to keep digital information real and build confidence in a time when media is driven by artificial intelligence.It uses both technical and non-technical means.展开更多
Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation.Modern seismological research produces vast volumes of heterogeneous data from sei...Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation.Modern seismological research produces vast volumes of heterogeneous data from seismic networks,satellite observations,and geospatial repositories,creating the need for scalable infrastructures capable of integrating and analyzing such data to support intelligent decision-making.Data warehousing technologies provide a robust foundation for this purpose;however,existing earthquake-oriented data warehouses remain limited,often relying on simplified schemas,domain-specific analytics,or cataloguing efforts.This paper presents the design and implementation of a spatio-temporal data warehouse for seismic activity.The framework integrates spatial and temporal dimensions in a unified schema and introduces a novel array-based approach for managing many-to-many relationships between facts and dimensions without intermediate bridge tables.A comparative evaluation against a conventional bridge-table schema demonstrates that the array-based design improves fact-centric query performance,while the bridge-table schema remains advantageous for dimension-centric queries.To reconcile these trade-offs,a hybrid schema is proposed that retains both representations,ensuring balanced efficiency across heterogeneous workloads.The proposed framework demonstrates how spatio-temporal data warehousing can address schema complexity,improve query performance,and support multidimensional visualization.In doing so,it provides a foundation for integrating seismic analysis into broader big data-driven intelligent decision systems for disaster resilience,risk mitigation,and emergency management.展开更多
Ensuring the reliability of power transmission networks depends heavily on the early detection of faults in key components such as insulators,which serve both mechanical and electrical functions.Even a single defectiv...Ensuring the reliability of power transmission networks depends heavily on the early detection of faults in key components such as insulators,which serve both mechanical and electrical functions.Even a single defective insulator can lead to equipment breakdown,costly service interruptions,and increased maintenance demands.While unmanned aerial vehicles(UAVs)enable rapid and cost-effective collection of high-resolution imagery,accurate defect identification remains challenging due to cluttered backgrounds,variable lighting,and the diverse appearance of faults.To address these issues,we introduce a real-time inspection framework that integrates an enhanced YOLOv10 detector with a Hybrid Quantum-Enhanced Graph Neural Network(HQGNN).The YOLOv10 module,fine-tuned on domainspecific UAV datasets,improves detection precision,while the HQGNN ensures multi-object tracking and temporal consistency across video frames.This synergy enables reliable and efficient identification of faulty insulators under complex environmental conditions.Experimental results show that the proposed YOLOv10-HQGNN model surpasses existing methods across all metrics,achieving Recall of 0.85 and Average Precision(AP)of 0.83,with clear gains in both accuracy and throughput.These advancements support automated,proactive maintenance strategies that minimize downtime and contribute to a safer,smarter energy infrastructure.展开更多
Fatigue impacts both mental and physical health,significantly reducing quality of life and daily productivity.Natural bioactive compounds have emerged as promising agents to combat fatigue due to their multifaceted bi...Fatigue impacts both mental and physical health,significantly reducing quality of life and daily productivity.Natural bioactive compounds have emerged as promising agents to combat fatigue due to their multifaceted biological activities and minimal side effects.Key mechanisms through which these compounds exert anti-fatigue effects include enhancing energy metabolism,reducing oxidative stress,supporting mitochondrial integrity,modulating the immune response,and regulating neurotransmitter balance.Plant-derived metabolites such as flavonoids,ginsenosides,saponins,and polysaccharides,as well as animal-based peptides and microbial-derived substances,have demonstrated significant potential in alleviating fatigue symptoms in both clinical and preclinical studies.Additionally,fermented products like kefir,fermented rice bran,and yogurt enhance endurance performance,reduce lactate buildup,and improve glycogen storage,further contributing to fatigue mitigation.As consumer interest in natural alternatives grows,future research should prioritize improving the bioavailability,stability,and targeted delivery of these compounds.This review consolidates recent advances in the understanding of anti-fatigue mechanisms of natural products and highlights emerging directions for their development as functional foods and therapeutic agents.展开更多
The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduce...The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduces significant vulnerabilities,including fraud,money laundering,and market manipulation.Traditional anomaly detection techniques often fail to capture the relational and dynamic characteristics of financial data.Graph Neural Networks(GNNs),capable of modeling intricate interdependencies among entities,have emerged as a powerful framework for detecting subtle and sophisticated anomalies.However,the high-dimensionality and inherent noise of FinTech datasets demand robust feature selection strategies to improve model scalability,performance,and interpretability.This paper presents a comprehensive survey of GNN-based approaches for anomaly detection in FinTech,with an emphasis on the synergistic role of feature selection.We examine the theoretical foundations of GNNs,review state-of-the-art feature selection techniques,analyze their integration with GNNs,and categorize prevalent anomaly types in FinTech applications.In addition,we discuss practical implementation challenges,highlight representative case studies,and propose future research directions to advance the field of graph-based anomaly detection in financial systems.展开更多
Electrocatalytic nitrate-to-ammonia conversion offers dual environmental and sustainable synthesis benefits,but achieving high efficiency with low-cost catalysts remains a major challenge.This review focuses on cobalt...Electrocatalytic nitrate-to-ammonia conversion offers dual environmental and sustainable synthesis benefits,but achieving high efficiency with low-cost catalysts remains a major challenge.This review focuses on cobalt-based electrocatalysts,emphasizing their structural engineering for enhanced the performance of electrocatalytic nitrate reduction reaction(NO3RR)through dimensional control,compositional tuning,and coordination microenvironment modulation.Notably,by critically analyzing metallic cobalt,cobalt alloys,cobalt compounds,cobalt single atom and molecular catalyst configurations,we firstly establish correlations between atomic-scale structural features and catalytic performance in a coordination environment perspective for NO3RR,including the dynamic reconstruction during operation and its impact on active site.Synergizing experimental breakthroughs with computational modeling,we decode mechanisms underlying competitive hydrogen evolution suppression,intermediate adsorption-energy optimization,and durability enhancement in complex aqueous environments.The development of cobalt-based catalysts was summarized and prospected,and the emerging opportunities of machine learning in accelerating the research and development of high-performance catalysts and the configuration of series reactors for scalable nitrate-to-ammonia systems were also introduced.Bridging surface science and applications,it outlines a framework for designing multifunctional electrocatalysts to restore nitrogen cycle balance sustainably.展开更多
Background: Minimally invasive surgery is becoming increasingly popular in the field of pancreatic surgery. However, there are few studies of robotic distal pancreatectomy(RDP) for pancreatic ductal adenocarcinoma(PDA...Background: Minimally invasive surgery is becoming increasingly popular in the field of pancreatic surgery. However, there are few studies of robotic distal pancreatectomy(RDP) for pancreatic ductal adenocarcinoma(PDAC). This study aimed to investigate the efficacy and feasibility of RDP for PDAC. Methods: Patients who underwent RDP or laparoscopic distal pancreatectomy(LDP) for PDAC between January 2015 and September 2020 were reviewed. Propensity score matching analyses were performed. Results: Of the 335 patients included in the study, 24 underwent RDP and 311 underwent LDP. A total of 21 RDP patients were matched 1:1 with LDP patients. RDP was associated with longer operative time(209.7 vs. 163.2 min;P = 0.003), lower open conversion rate(0% vs. 4.8%;P < 0.001), higher cost(15 722 vs. 12 699 dollars;P = 0.003), and a higher rate of achievement of an R0 resection margin(90.5% vs. 61.9%;P = 0.042). However, postoperative pancreatic fistula grade B or C showed no significant intergroup difference(9.5% vs. 9.5%). The median disease-free survival(34.5 vs. 17.3 months;P = 0.588) and overall survival(37.7 vs. 21.9 months;P = 0.171) were comparable between the groups. Conclusions: RDP is associated with longer operative time, a higher cost of surgery, and a higher likelihood of achieving R0 margins than LDP.展开更多
The synthesis of T_8, T_ 10 and T_ 12 silsesquioxane cages from a range of starting materials: phenyl-cis-tetrol, 1,3-divinyltetraethoxydisiloxane and cyclopentyl T resins by using tetra n-butylammonium fluoride(TBA...The synthesis of T_8, T_ 10 and T_ 12 silsesquioxane cages from a range of starting materials: phenyl-cis-tetrol, 1,3-divinyltetraethoxydisiloxane and cyclopentyl T resins by using tetra n-butylammonium fluoride(TBAF) as the catalyst is described in this paper. The reaction yields obtained viathe current route are better compared to those viathe literature routes. Some of the cage compounds have been characterized by X-ray crystallography.展开更多
In China,the reform of curriculum evaluation system is the core issue of the reform of higher education.The curriculum evaluation system should focus on students’development needs.Besides,instead of sticking flat,we ...In China,the reform of curriculum evaluation system is the core issue of the reform of higher education.The curriculum evaluation system should focus on students’development needs.Besides,instead of sticking flat,we should create a more multifarious curriculum system for students.展开更多
文摘To ensure the success of the e-learning initiatives,OUM has developed its own e-learning management system,known as myLMS.Since its introduction,many modifications and improvements have been introduced to increase its effectiveness.It is now timely that OUM take stock of its students'attitudes towards e-learning.Thus,a survey was conducted on about 1,000 students at one of OUM's own learning centres,that is,the Kelantan Regional Centrel.The study indicated that generally the teacher cohort had a somewhat neutral attitude towards e-learning.The use of e-learning was more specifically aimed at achieving short term goals of obtaining good coursework and examination grades by capitalizing on the use of the Discussion Board and Courseware.A closer examination reveals that the females prefer the Discussion Board while the males prefer the Courseware.Learners in the Engineering and English programmes had more positive attitudes towards e-learning compared to learners in the Mathematics and Science programme. Learners with CGPA＞3.0 who are categorized as high achievers are more positive towards e-learning as compared to the low achievers(CGPA＜3.0).Age difference,learners‘income per month,learners’Internet and e-learning habits were also found to be predictors of attitude towards e-learning.
文摘After a brief analysis of the concept of quality in open and distance education, information technology for quality assurance and Indian initiative for quality improvement, the paper examines the quality assurance measures at Kota Open University under the following areas: planning academic programmes; developing academic programmes; producing learning materials; implementing programmes; reviewing courses/programmes; and developing human resources.
文摘English is considered as Arab students＇ second language which is not used frequently in their daily conversations. Since writing in English is a challenging experience for Omani students, errors in grammar and sentence structures were identified in bridging language courses （foundation level 2） in the field of ESL （English as a Second Language}. Learners＇ errors were considered positively as the best sources to identify students＇ limitations in English writing. The present study investigates the structure errors of Omani students＇ writings in English in foundation level 2 at Arab Open University. The focal aim is to study the errors that Ornani students commit when they are using adjectives ＋ nouns, indefinite articles, and subordinate conjunction ＂because＂. Results show that Omani students committed the following common errors： misplacement of adjectives, omission of the indefinite articles, and wrong structure of the subordinate conjunction （because）. The prime aim of this study is to examine the students＇ aforementioned structural errors which are the result of the interference of their mother-tongue. In order to achieve these aims, students were asked to write two different topics. Finally, this research suggests further recommendations for further studies which might ameliorate students＇ learning by adopting appropriate strategies for teaching.
基金the Ministry of Education, Culture, Sports, Science and Technology ofJapan [Grants-in-Aid for Scientific Research Nos. 19500756 and 21500840] and the Open University of Japan
文摘 Microscale chemistry laboratory is environmentaly friendly and embodies green and sustainable chemistry,since the amount of reagents,waste,energy,and cost can be reduced dramatically.……
基金2022 Education and Teaching Research and Reform Project of Guangdong Open University System,“Practical Dilemmas and Practical Paths of Educational Governance in Open Education in the Post-Pandemic Era”(Project No.:2022TXJG35)。
文摘The rapid development of information technology in the digital era has led the development and reform in the field of education.Both the transformation and high-quality development of open universities have put forward higher requirements for open education governance.Focusing on the important field of open education governance,this study,from the perspective of university governance,deeply explores the practical dilemmas faced by open education governance,such as unclear development positioning,difficulties in transformation and development,inadequate learning support services,insufficient depth of teaching reform,and weak professional development of teachers.In the lifelong learning education ecology of universal education,open education governance should focus on“useful and easy learning”,focus on industry-education integration,take serving society as its purpose,and promote the transformation and development of open education.Under the concept of collaboration and co-governance,a multi-subject collaborative governance mechanism should be built,and governance thinking should be actively implemented in open education and teaching affairs to accelerate the modernization of open education governance.This aims to realize the sustainable development of open education governance and provide strong theoretical support and practical guidance for building a more fair,high-quality,and flexible open education governance system.
基金Supported by Science Research Fund Project of Yunnan Provincial Department of Education-Research on the Pathways for Distance Open Education to Empower the Enhancement of Digital Literacy and Skills of Rural"Leading Geese"in Ethnic Areas(2023J0792)The Ideological and Political Education Reform Project of Yunnan Province in 2022-Exploration and Practice of Integrating Ideological and Political Education into the Training Mode of"Leading Goose"Talents for Rural Revitalization in the Course of Agricultural and Forestry Economics and Management in Open Education.
文摘At present, enhancing the digital literacy of village cadres faces practical constraints such as governance capability gaps induced by the second-level digital divide, the absence of a systematic cultivation system, incomplete last-kilometer implementation for translating skills into practice, and inadequate incentive mechanisms. As a novel educational form deeply integrating digital information technology with teaching and learning, distance open education provides multi-directional empowerment for enhancing village cadres digital literacy. This is achieved through open learning methods, the application of modern digital technologies, tailored learning programs, and the establishment of "overpass bridges" for translating learning outcomes into practice. Based on this, it is essential to further streamline the pathways for educating and cultivating village cadres, vigorously promote the digitalization of teaching, practice, and support services, develop systematic and localized digital education resources, and actively explore and establish a complementary credit bank system for their digital literacy cultivation.
基金Humanities and Social Sciences Research and Planning Fund Project ofMinistry of Education – ‘On Training Mode of Academic Degree Linking Artificial IntelligenceApplied Talents Based on ‘1+X’ Certificate System’, Project No. 20YJA880086SpecialResearch Project of Open University of China: Research on the Training Mode of ModernApprenticeship VR Technical Talents Based on Credit BankResearch and Cultivation Teamof Yunnan Open University-’Research Team for Intelligent Programming, Production andTeaching Integration’.
文摘The analysis on the learning behavior characteristics based on big data is beneficial for improving the learning resource construction,teaching mode and interactive mode of online course platforms.Multiple aspects of analysis were conducted on nearly three million pieces of learning behavior data,which is from seven courses of 3,315 learners in the same major at a university.According to the quantity of course resources and policy of course scoring,four typical learning behaviors were selected,and the correlation between final exam results and learning behavior were analyzed.The analysis of behavior influences on the final exam results were also conducted.The analytical results give suggestions for online teaching and learning.
文摘The chemical industry plays a critical role in supporting global economic development,yet its traditional production paradigms are associated with high resource consumption,energy demand,and environmental impact.To deal with the growing regulatory burden,societal demands,and environmental targets,eco-friendly processes in chemicals have become one of the major approaches to ensuring industrialization with environmental safety.This review includes an overall summary of the recent developments of green chemical processes with the focus on the basic principles,facilitating structures,and technologies that form the basis of sustainable chemical production.The most important advances in sustainable feedstocks,green catalysis,environmentally benign solvents,energy-efficient and intensified process technologies are also essential introductions,and the importance of digitalization,artificial intelligence,and life cycle-informed assessment tools in environmental performance optimization is also increasing.The review also discusses some of the barriers related to industry implementation,such as scalability,economic viability,and the necessity of having strong sustainability verification.Using chosen industrial case studies of China,South Korea,and Vietnam,various ways of integrating eco-friendly processes are demonstrated,including the adoption of renewable energy and low-carbon hydrogen,the adoption of circular plastics,and refinery energy optimization.Such examples demonstrate the significance of regional settings,system-level integration,and open environmental assessment in achieving significant sustainability results.The presented insights should guide the way future research proceeds and facilitate the shift toward the low-impact chemical manufacturing systems that are resilient.
基金Scientific Research Fund Project of Yunnan Open University:“Research on Incentive Mechanisms for Cadres’Responsibility and Action in Yunnan Universities in the New Era and New Journey”(Project No.:23YNOU27)。
文摘In recent years, improving patients’ medical experience has become increasingly prominent in medical activities, and patient experience has become the core of medical service models. As an emerging visualization tool for exploring patient experience, patient journey mapping has been increasingly applied in the field of medical and health services, with unique advantages in exploring patient experience. This study reviews the overview, content and types, application and effects in the nursing field, and presentation methods of results of patient journey mapping, aiming to provide reference for improving patient experience.
基金funded by the Arab Open University,Riyadh,Saudi Arabia.
文摘Deepfake is a sort of fake media made by advanced AI methods like Generative Adversarial Networks(GANs).Deepfake technology has many useful uses in education and entertainment,but it also raises a lot of ethical,social,and security issues,such as identity theft,the dissemination of false information,and privacy violations.This study seeks to provide a comprehensive analysis of several methods for identifying and circumventing Deepfakes,with a particular focus on image-based Deepfakes.There are three main types of detection methods:classical,machine learning(ML)and deep learning(DL)-based,and hybrid methods.There are three main types of preventative methods:technical,legal,and moral.The study investigates the effectiveness of several detection approaches,such as convolutional neural networks(CNNs),frequency domain analysis,and hybrid CNN-LSTM models,focusing on the respective advantages and disadvantages of each method.We also look at new technologies like Explainable Artificial Intelligence(XAI)and blockchain-based frameworks.The essay looks at the use of algorithmic protocols,watermarking,and blockchain-based content verification as possible ways to stop certain things from happening.Recent advancements,including adversarial training and anti-Deepfake data generation,are essential because of their potential to alleviate rising concerns.This reviewshows that there aremajor problems,such as the difficulty of improving the capabilities of existing systems,the high running expenses,and the risk of being attacked by enemies.It stresses the importance of working together across fields,including academia,business,and government,to create robust,scalable,and ethical solutions.Themain goals of futurework should be to create lightweight,real-timedetection systems,connect them to large language models(LLMs),and put in place worldwide regulatory frameworks.This essay argues for a complete and varied plan to keep digital information real and build confidence in a time when media is driven by artificial intelligence.It uses both technical and non-technical means.
文摘Earthquakes are highly destructive spatio-temporal phenomena whose analysis is essential for disaster preparedness and risk mitigation.Modern seismological research produces vast volumes of heterogeneous data from seismic networks,satellite observations,and geospatial repositories,creating the need for scalable infrastructures capable of integrating and analyzing such data to support intelligent decision-making.Data warehousing technologies provide a robust foundation for this purpose;however,existing earthquake-oriented data warehouses remain limited,often relying on simplified schemas,domain-specific analytics,or cataloguing efforts.This paper presents the design and implementation of a spatio-temporal data warehouse for seismic activity.The framework integrates spatial and temporal dimensions in a unified schema and introduces a novel array-based approach for managing many-to-many relationships between facts and dimensions without intermediate bridge tables.A comparative evaluation against a conventional bridge-table schema demonstrates that the array-based design improves fact-centric query performance,while the bridge-table schema remains advantageous for dimension-centric queries.To reconcile these trade-offs,a hybrid schema is proposed that retains both representations,ensuring balanced efficiency across heterogeneous workloads.The proposed framework demonstrates how spatio-temporal data warehousing can address schema complexity,improve query performance,and support multidimensional visualization.In doing so,it provides a foundation for integrating seismic analysis into broader big data-driven intelligent decision systems for disaster resilience,risk mitigation,and emergency management.
基金supported by Ho Chi Minh City Open University,Vietnam and Suan Sunandha Rajabhat Univeristy,Thailand.
文摘Ensuring the reliability of power transmission networks depends heavily on the early detection of faults in key components such as insulators,which serve both mechanical and electrical functions.Even a single defective insulator can lead to equipment breakdown,costly service interruptions,and increased maintenance demands.While unmanned aerial vehicles(UAVs)enable rapid and cost-effective collection of high-resolution imagery,accurate defect identification remains challenging due to cluttered backgrounds,variable lighting,and the diverse appearance of faults.To address these issues,we introduce a real-time inspection framework that integrates an enhanced YOLOv10 detector with a Hybrid Quantum-Enhanced Graph Neural Network(HQGNN).The YOLOv10 module,fine-tuned on domainspecific UAV datasets,improves detection precision,while the HQGNN ensures multi-object tracking and temporal consistency across video frames.This synergy enables reliable and efficient identification of faulty insulators under complex environmental conditions.Experimental results show that the proposed YOLOv10-HQGNN model surpasses existing methods across all metrics,achieving Recall of 0.85 and Average Precision(AP)of 0.83,with clear gains in both accuracy and throughput.These advancements support automated,proactive maintenance strategies that minimize downtime and contribute to a safer,smarter energy infrastructure.
基金supported by Guangdong Higher Education Upgrading Plan(2021-2025)with No.of UICR0400015-24 and UICR0400016-24 at Beijing Normal-Hong Kong Baptist University,Zhuhai,China.
文摘Fatigue impacts both mental and physical health,significantly reducing quality of life and daily productivity.Natural bioactive compounds have emerged as promising agents to combat fatigue due to their multifaceted biological activities and minimal side effects.Key mechanisms through which these compounds exert anti-fatigue effects include enhancing energy metabolism,reducing oxidative stress,supporting mitochondrial integrity,modulating the immune response,and regulating neurotransmitter balance.Plant-derived metabolites such as flavonoids,ginsenosides,saponins,and polysaccharides,as well as animal-based peptides and microbial-derived substances,have demonstrated significant potential in alleviating fatigue symptoms in both clinical and preclinical studies.Additionally,fermented products like kefir,fermented rice bran,and yogurt enhance endurance performance,reduce lactate buildup,and improve glycogen storage,further contributing to fatigue mitigation.As consumer interest in natural alternatives grows,future research should prioritize improving the bioavailability,stability,and targeted delivery of these compounds.This review consolidates recent advances in the understanding of anti-fatigue mechanisms of natural products and highlights emerging directions for their development as functional foods and therapeutic agents.
基金supported by Ho Chi Minh City Open University,Vietnam under grant number E2024.02.1CD and Suan Sunandha Rajabhat University,Thailand.
文摘The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduces significant vulnerabilities,including fraud,money laundering,and market manipulation.Traditional anomaly detection techniques often fail to capture the relational and dynamic characteristics of financial data.Graph Neural Networks(GNNs),capable of modeling intricate interdependencies among entities,have emerged as a powerful framework for detecting subtle and sophisticated anomalies.However,the high-dimensionality and inherent noise of FinTech datasets demand robust feature selection strategies to improve model scalability,performance,and interpretability.This paper presents a comprehensive survey of GNN-based approaches for anomaly detection in FinTech,with an emphasis on the synergistic role of feature selection.We examine the theoretical foundations of GNNs,review state-of-the-art feature selection techniques,analyze their integration with GNNs,and categorize prevalent anomaly types in FinTech applications.In addition,we discuss practical implementation challenges,highlight representative case studies,and propose future research directions to advance the field of graph-based anomaly detection in financial systems.
基金supported by the National Natural Science Foundation of China(Grant Nos.:21825201,52401244 and 52201227)Henan Province Key Research and Development and Promotion Program(Scientific and Technological Breakthrough Project:232102240088 and 252102230078)+3 种基金the Key Research&Development and Promotion of Special Project(Scientific Problem Tackling)of Henan Province(252102230078)Doctoral Research Startup Fund Project of Henan Open University(BSJH-2025-04)Zhejiang Provincial Natural Science Foundation of China(LQ24B020005,LQ23B030001)China Postdoctoral Science Foundation(2024M762442).
文摘Electrocatalytic nitrate-to-ammonia conversion offers dual environmental and sustainable synthesis benefits,but achieving high efficiency with low-cost catalysts remains a major challenge.This review focuses on cobalt-based electrocatalysts,emphasizing their structural engineering for enhanced the performance of electrocatalytic nitrate reduction reaction(NO3RR)through dimensional control,compositional tuning,and coordination microenvironment modulation.Notably,by critically analyzing metallic cobalt,cobalt alloys,cobalt compounds,cobalt single atom and molecular catalyst configurations,we firstly establish correlations between atomic-scale structural features and catalytic performance in a coordination environment perspective for NO3RR,including the dynamic reconstruction during operation and its impact on active site.Synergizing experimental breakthroughs with computational modeling,we decode mechanisms underlying competitive hydrogen evolution suppression,intermediate adsorption-energy optimization,and durability enhancement in complex aqueous environments.The development of cobalt-based catalysts was summarized and prospected,and the emerging opportunities of machine learning in accelerating the research and development of high-performance catalysts and the configuration of series reactors for scalable nitrate-to-ammonia systems were also introduced.Bridging surface science and applications,it outlines a framework for designing multifunctional electrocatalysts to restore nitrogen cycle balance sustainably.
文摘Background: Minimally invasive surgery is becoming increasingly popular in the field of pancreatic surgery. However, there are few studies of robotic distal pancreatectomy(RDP) for pancreatic ductal adenocarcinoma(PDAC). This study aimed to investigate the efficacy and feasibility of RDP for PDAC. Methods: Patients who underwent RDP or laparoscopic distal pancreatectomy(LDP) for PDAC between January 2015 and September 2020 were reviewed. Propensity score matching analyses were performed. Results: Of the 335 patients included in the study, 24 underwent RDP and 311 underwent LDP. A total of 21 RDP patients were matched 1:1 with LDP patients. RDP was associated with longer operative time(209.7 vs. 163.2 min;P = 0.003), lower open conversion rate(0% vs. 4.8%;P < 0.001), higher cost(15 722 vs. 12 699 dollars;P = 0.003), and a higher rate of achievement of an R0 resection margin(90.5% vs. 61.9%;P = 0.042). However, postoperative pancreatic fistula grade B or C showed no significant intergroup difference(9.5% vs. 9.5%). The median disease-free survival(34.5 vs. 17.3 months;P = 0.588) and overall survival(37.7 vs. 21.9 months;P = 0.171) were comparable between the groups. Conclusions: RDP is associated with longer operative time, a higher cost of surgery, and a higher likelihood of achieving R0 margins than LDP.
文摘The synthesis of T_8, T_ 10 and T_ 12 silsesquioxane cages from a range of starting materials: phenyl-cis-tetrol, 1,3-divinyltetraethoxydisiloxane and cyclopentyl T resins by using tetra n-butylammonium fluoride(TBAF) as the catalyst is described in this paper. The reaction yields obtained viathe current route are better compared to those viathe literature routes. Some of the cage compounds have been characterized by X-ray crystallography.
文摘In China,the reform of curriculum evaluation system is the core issue of the reform of higher education.The curriculum evaluation system should focus on students’development needs.Besides,instead of sticking flat,we should create a more multifarious curriculum system for students.
