The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder obligations.This study analyzes the primary factors that are driving the widespre...The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder obligations.This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders,such as government entities,utility companies,technology suppliers,and consumers.Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives,regulatory assistance,and strategic guidance.Utility firms have the responsibility of implementing and integrating smart grid infrastructure,with an emphasis on improving the dependability of the grid,minimizing losses in transmission and distribution,and integrating renewable energy sources.Technology companies offer the essential hardware and software solutions,which stimulate creativity and enhance efficiency.Consumers actively engage in the energy ecosystem by participating in demand response,implementing energy saving measures,and adopting distributed energy resources like solar panels and electric vehicles.This study examines the difficulties and possibilities in India’s smart grid industry,highlighting the importance of cooperation among stakeholders to build a strong,effective,and environmentally friendly energy future.展开更多
The Kosovo National Park is an area rich in exceptional natural values,including mountainous landscapes,rivers,green forests,and a rich biodiversity.This park offers opportunities for scenic views and is an ideal dest...The Kosovo National Park is an area rich in exceptional natural values,including mountainous landscapes,rivers,green forests,and a rich biodiversity.This park offers opportunities for scenic views and is an ideal destination for those who wish to explore untouched nature.The region is rich in rare flora and fauna,which are important for the preservation of local ecosystems and the global environment.The main objective of this paper is to examine the opportunities and challenges of ecotourism development in the Kosovo National Park,focusing on balancing biodiversity conservation with economic benefits for the local community and sustainable tourism development.The methodology used in this paper is multidimensional,combining analysis of existing literature,similar case studies,and interviews with experts in the field and local stakeholders.This process allows for an in-depth understanding of the opportunities and challenges that ecotourism development presents.To collect reliable data,interviews were conducted with local authorities and environmental experts,and management policies and strategies of similar parks were analyzed.The data were analyzed through qualitative and quantitative methods.The research results show that the development of ecotourism in the Kosovo National Park can have a positive impact on nature conservation and can contribute to the economic development of the region.However,this development requires careful management and a balance between biodiversity conservation and economic benefits.Ecotourism activities should be guided by sustainable practices that respect the environment and provide long-term benefits.展开更多
This study aims to assess the potential of natural tourism in Kosovo,especially in the Dukagjin region as a case study.The main objective is to identify and analyze this region’s tourism potential to understand its i...This study aims to assess the potential of natural tourism in Kosovo,especially in the Dukagjin region as a case study.The main objective is to identify and analyze this region’s tourism potential to understand its impact and importance.180 respondents from the Dukagjin region participated in this study,and the quantitative method was used as a methodology.The measurement instrument consisted of 30 closed questions,which aimed to collect detailed information on the potential of natural tourism in this area.The study results showed that mountain,cultural,winter,healing,and rural tourism are especially important for developing the Dukagjin region.Furthermore,the analysis shows that 30%of the tourism potential is explained by rural tourism,underlining its importance in the local economy.Finally,the study’s findings are discussed,emphasizing their practical value for promoting and developing sustainable tourism in the region.展开更多
The study aims to identify and analyze the perceptions and expectations of tourists regarding tourism development in the Sharr Mountains Region.In the Sharr Mountains Region,sustainable tourism is another opportunity ...The study aims to identify and analyze the perceptions and expectations of tourists regarding tourism development in the Sharr Mountains Region.In the Sharr Mountains Region,sustainable tourism is another opportunity for economic growth,cultural integrity,and environmental conservation.Public investments are vital in enhancing this investment as they help to develop infrastructure,promote businesses,and even promote environment-friendly activities.The research seeks to understand the relationship between public investments and investments in sustainable tourism in the Sharr Mountains region,focusing on the direct and indirect relational aspects of the economy,conservation,and the people.Key questions,address their expectations from public investment,infrastructure improvements,involvement of local authorities and the community,as well as concerns regarding the potential negative impact of tourism on the natural environment and local culture.The methodology of this study includes in-depth research through the quantitative method.Based on the results of data analysis,recommendations include improving tourism infrastructure,increasing awareness of environmental impact,and developing environmental education programs for tourists.Among the proposed actions is the improvement of cooperation between local authorities,the local community,and the private sector for the sustainable development of tourism in the Sharr Mountains Region.Finally,this study provides an essential contribution to the understanding of the expectations,evaluations,and impacts of tourists in this region,defining the key points of sustainable tourism development.展开更多
Global climate change has created substantial difficulties in the areas of sustainability,development,and environmental conservation due to the widespread dependence on fossil fuels for energy production.Nevertheless,...Global climate change has created substantial difficulties in the areas of sustainability,development,and environmental conservation due to the widespread dependence on fossil fuels for energy production.Nevertheless,the promotion of renewable energy programs has the potential to significantly expedite endeavors aimed at tackling climate change.Thus,it is essential to conduct a thorough analysis that considers the financial aspects to fully understand the main hurdles that are preventing the advancement of renewable energy initiatives.Italy is a leading country in the worldwide deployment of renewable energy.The objective of this research is to assess the impact of financial growth,economic progress,and energy expenses on Italy’s adoption of renewable energy sources.By employing the Auto-Regressive Distributed Lag(ARDL)technique,we analyzed annual data spanning from1990 to 2022.Findings revealed that a 1%increase in financial and economic development would boost renewable energy consumption in the long run by 0.29%and 0.48%,respectively.Instead,a 1%increase in energy prices might reduce consumption of renewable energy by 0.05%in the long run.This study’s primary significance lies in furnishing actionable strategies for Italy to augment green finance for renewable energy,fostering sustained social and economic progress.Moreover,the analytical insights gleaned from this research offer valuable insights for energy-importing nations worldwide.展开更多
An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnos...An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnostic and treatment tactics are needed.Digital tools and technology are helping solve these problems by providing scalable,tailored solutions for large populations.This detailed review examines mental health‐promoting internet tools.Smartphone applications,web‐based therapy systems,wearable tech,artificial intelligence‐powered resources,and virtual reality(VR)technologies were evaluated for efficacy and side effects.PubMed,PsycINFO,Scopus,IEEE Xplore,and Google Scholar were carefully searched.Search terms included“digital mental health tools,”“online therapy,”and“AI in mental health.”Randomized controlled trials,cohort studies,cross‐sectional studies,systematic reviews,and meta‐analyses of digital technology and mental health were included from among the literature published after 2010.Cognitive behavioral therapy methods,mood monitoring,and mindfulness exercises are among the numerous features of smartphone applications that have been demonstrated to mitigate symptoms of anxiety,depression,and tension.Online therapy platforms let marginalized individuals obtain therapy remotely.Wearable technology may detect heart rate,blood pressure,and sleep length,which may reveal mental health difficulties.Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention.Exposure therapy for anxiety and trauma is increasingly using virtual reality environments.Although digital mental health therapies face challenges in relation to data privacy,limited long‐term efficacy,and technological inequality,digital technologies are modernizing mental healthcare.By offering inexpensive and effective alternatives to traditional therapies,digital technologies may help healthcare systems meet the growing demand for mental health services and overall well‐being.展开更多
Since Serbia disposes with significant natural potentials, it could have been among the most attractive countries in Europe only if the historical circumstances had been different. Existing natural resources and possi...Since Serbia disposes with significant natural potentials, it could have been among the most attractive countries in Europe only if the historical circumstances had been different. Existing natural resources and possibilities for their improvement demand planned strategy to make them efficient. Tourism, as a significant instrument of development, can and should take an active part in the strategy of sustainable development. Special attention in the paper is paid to the development of Vrnjacka Banja Spa as it is one of the main tourist destinations in Serbia. The strengths, weaknesses, opportunities, and threats of a business venture （SWOT） analysis offers the basic elements for defining the strategic direction and program priorities, measures and targets for improving the overall development of spas in Serbia. To identify the SWOT factors, we used materials from a number of studies on Serbian tourism, surveys on tourists in Vrnjcka Banja Spa and analysis of the market and competition. The SWOT analysis proves that the priority in development of spas in Serbia is attractiveness of the destination which involves the spa-health tourism with great potential in complementary forms of tourism, such as sport-recreational, cultural, transit and hunting tourism. It means that the future strategy should be based on improving and involving modern spa products. It means improving and maximizing marketing so as to make the tourist destination attractive. It further implies maximum investment in modern tourist products.展开更多
Social media platforms provide new value for markets and research companies.This article explores the use of social media data to enhance customer value propositions.The case study involves a company that develops wea...Social media platforms provide new value for markets and research companies.This article explores the use of social media data to enhance customer value propositions.The case study involves a company that develops wearable Internet of Things(IoT)devices and services for stress management.Netnography and semantic annotation for recognizing and categorizing the context of tweets are conducted to gain a better understanding of users’stress management practices.The aim is to analyze the tweets about stress management practices and to identify the context from the tweets.Thereafter,we map the tweets on pleasure and arousal to elicit customer insights.We analyzed a case study of a marketing strategy on the Twitter platform.Participants in the marketing campaign shared photos and texts about their stress management practices.Machine learning techniques were used to evaluate and estimate the emotions and contexts of the tweets posted by the campaign participants.The computational semantic analysis of the tweets was compared to the text analysis of the tweets.The content analysis of only tweet images resulted in 96%accuracy in detecting tweet context,while that of the textual content of tweets yielded an accuracy of 91%.Semantic tagging by Ontotext was able to detect correct tweet context with an accuracy of 50%.展开更多
Behavioral operations management(BOM)is one of the new areas in operations management.In the past 12 years,the field has made huge progress and researchers have become interested in this new perspective to solving ope...Behavioral operations management(BOM)is one of the new areas in operations management.In the past 12 years,the field has made huge progress and researchers have become interested in this new perspective to solving operational problems.BOM is now one of the major subfields of operations management.In this paper,we examine and categorize areas of BOM based on the mainstream literature.Key areas include behavioral issues in new product development and project management,quality management,production management,inventory management,service operations,and forecasting.Studies in each area are divided into three subcategories,including OM context,individual attributes,heuristics,and biases,and individual differences.In OM context category,feedback and reward,training,work monitoring,teamwork and group decision making,goal setting,task assignment,and flexibility are among the main topics.In individual attributes,heuristics,and biases category,sunk cost effect and escalation of commitment,endowment effect,overprecision bias,planning fallacy,pullto-center effect,anchoring and insufficient adjustment,and misperceptions of feedback are mainly discussed.In individual differences,analytic thinking and system thinking are mainly studied.New areas for research are suggested in each related section and are summarized in future directions and conclusion sections.In contexts such as new product development,project management,and inventory management,a shift to finding solution to performance improvement is beneficial instead of focusing on heuristics and biases and considering them as a deficiency in human decision making.Regarding individual differences category,a shift toward attributes other than cognitive abilities,such as global processing,creative thinking,and design thinking are recommended.展开更多
One of the biggest dangers to society today is terrorism, where attacks have become one of the most significantrisks to international peace and national security. Big data, information analysis, and artificial intelli...One of the biggest dangers to society today is terrorism, where attacks have become one of the most significantrisks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) havebecome the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management,medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related,initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terroristattacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database(GTD) can influence the accuracy of the model’s classification of terrorist attacks, where each part of the datacan provide vital information to enrich the ability of classifier learning. Each data point in a multiclass taxonomyhas one or more tags attached to it, referred as “related tags.” We applied machine learning classifiers to classifyterrorist attack incidents obtained from the GTD. A transformer-based technique called DistilBERT extracts andlearns contextual features from text attributes to acquiremore information from text data. The extracted contextualfeatures are combined with the “key features” of the dataset and used to perform the final classification. Thestudy explored different experimental setups with various classifiers to evaluate the model’s performance. Theexperimental results show that the proposed framework outperforms the latest techniques for classifying terroristattacks with an accuracy of 98.7% using a combined feature set and extreme gradient boosting classifier.展开更多
Objectives Robotic-assisted surgery(RAS)is a minimally invasive technique practiced in multiple specialties.Standard training is essential for the acquisition of RAS skills.The cost of RAS is considered to be high,whi...Objectives Robotic-assisted surgery(RAS)is a minimally invasive technique practiced in multiple specialties.Standard training is essential for the acquisition of RAS skills.The cost of RAS is considered to be high,which makes it a burden for institutes and unaffordable for patients.This systematic literature review(SLR)focused on the various RAS training methods applied in different surgical specialties,as well as the cost elements of RAS,and was to summarize the opportunities and challenges associated with scaling up RAS.Methods An SLR was carried out based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses reporting guidelines.The PubMed,EBSCO,and Scopus databases were searched for reports from January 2018 through January 2024.Full-text reviews and research articles in the English language from Asia-Pacific countries were included.Articles that outlined training and costs associated with RAS were chosen.Results The most common training system is the da Vinci system.The simulation technique,which includes dry-lab,wet-lab,and virtual reality training,was found to be a common and important practice.The cost of RAS encompasses the installation and maintenance costs of the robotic system,the operation theatre rent,personnel cost,surgical instrument and material cost,and other miscellaneous charges.The synthesis of SLR revealed the challenges and opportunities regarding RAS training and cost.Conclusions The results of this SLR will help stakeholders such as decision-makers,influencers,and end users of RAS to understand the significance of training and cost in scaling up RAS from a managerial perspective.For any healthcare innovation to reach a vast population,cost-effectiveness and standard training are crucial.展开更多
Objective:To determine the overall and pooled prevalence of Leishmania(L.)infantum in sandfly vectors in Iran.Methods:The present research conducted a systematic review and meta-analysis and searched regional database...Objective:To determine the overall and pooled prevalence of Leishmania(L.)infantum in sandfly vectors in Iran.Methods:The present research conducted a systematic review and meta-analysis and searched regional databases such as PubMed,Scopus,Web of Science(WoS),Embase,PAHO Iris,LILACS,WHO Iris,and local databases named:SID,Magiran,Civilica,and also grey literatures.The current research included studies that were conducted in Iran and examined L.infantum in different sandfly vectors.The studies’quality assessment/risk of bias assessment was evaluated by the Joanna Briggs Institute Critical Appraisal Checklist for prevalence data studies,and the data were analyzed by Stata 14 software.In addition,we examined 22 primary studies to estimate the overall prevalence of L.infantum among various vectors of visceral leishmaniasis.Results:According to the meta-analysis,the pooled prevalence of Phlebotomus(Ph.)tobbi,Ph.alexandri,Ph.kandelaki,Ph.perfiliewi,Ph.major,Ph.keshishiani were 5.34%,4.36%,2.23%,1.79%,4.37%and 1.18%.Ph.tobbi has the highest infection rate(25.00%)of L.infantum among the sandfly vectors.Conclusions:Visceral leishmaniasis is widespread in Fars,Ardebil,and East-Azerbaijan provinces,which are the most important endemic regions in Iran.展开更多
The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management systems.This has generated massive volumes ...The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management systems.This has generated massive volumes of data and security,and data privacy risks are increasing with the advancement of technology and network connections.Traditional access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF failure.Additionally,conventional privacy preservation methods have high latency costs and overhead for resource-constrained devices.Previous machine learning approaches were also unable to detect denial-of-service(DoS)attacks.This study introduced a novel decentralized and secure framework for blockchain integration.To avoid single-point OF failure,an accredited access control scheme is incorporated,combining blockchain with local peers to record each transaction and verify the signature to access.Blockchain-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters,managing keys,and revoking users on the blockchain.An innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted,preventing the server from becoming overwhelmed.The proposed framework effectively controls access,safeguards data privacy,and reduces the risk of cyberattacks.The results depict that the suggested framework outperforms the results in terms of accuracy,precision,sensitivity,recall,and F-measure at 96.9%,98.43%,98.8%,98.43%,and 98.4%,respectively.展开更多
Generically, SCM may be said to include all activities carried out to ensure proper functioning of the supply chain. The activities included in proper management of a supply chain broadly include logistics activities,...Generically, SCM may be said to include all activities carried out to ensure proper functioning of the supply chain. The activities included in proper management of a supply chain broadly include logistics activities, planning and control of the flow of information and materials in a firm, management of relationships with other organizations and government intervention, However, crude oil theft and pipeline vandalism are established products supply chain disruptors in Nigeria which are rendering the task of running an efficient petroleum supply chain onerous. This paper aims to establish the importance of effective supply chain strategies for companies in the oil and gas industry with special focus on the Nigerian oil and gas sector and the strategies by which the state oil and gas corporation in this sector may mitigate disruptions to its supply chain. This study investigates the enhancement of supply chain strategies towards meeting the challenge of crude oil theft and pipeline vandalism, using the Nigerian National Corporation (NNPC) as a case study. Based on this study, data were collected from two sources: A summary of incident reports obtained from NNPC and an interview with personnel in the PPMC Department. Incident report refers to a report produced when accidents such as equipment failure, injury, loss of life, or fire occur at the work site. Content analysis is utilized to evaluate data obtained from interview responses, CBN financial stability reports, NDIC annual reports, circulars, banking supervision reports and implementation guidelines. The study found out that NNPC should endeavor to sustain its value chain and ward of pipeline vandals and crude oil thieves by engaging in community partnership, detailing security outfits to ensure its pipelines’ right of way and bridging. Concluded that the oil supply chain of the Nigerian National Petroleum Corporation has been plagued by disruptions in the form of crude oil theft and pipeline vandalism which has had debilitating effects on its value.展开更多
Human digital twins(HDTs)are set to revolutionise human-system integration and improve human capacities,productivity,and well-being by including human character-istics in system design.Reflecting real-life behaviours ...Human digital twins(HDTs)are set to revolutionise human-system integration and improve human capacities,productivity,and well-being by including human character-istics in system design.Reflecting real-life behaviours and emotional reactions,HDTs render virtual data-driven models of people.Their presence in many fields-including office work,education,and healthcare-showcases their ability to advance diagnoses,workforce training,and individualised learning.However,the general HDTs acceptance hypothesis calls for a critical analysis of their ethical ramifications and social influence.Emphasising the need of social adaptations to maintain stability,structural functionalism provides a suited framework to examine the roles of HDTs inside social systems.Despite their obvious advantages,HDTs raise ethical questions.While addressing concerns about user acceptance and ethical norms,engineers,designers and the legal regulators,but also the users-by means of‘owners’-must consider the substantial consequences of HDTs and their customisation.HDTs'duality,like a double-edged sword,calls for deliberate usage and considerable thought to negotiate the changing terrain of human-machine interaction.展开更多
This study explores the impact of generative artificial intelligence(AI)-enabled instruction on critical thinking in English essay writing among 1,050 first-year English majors across four colleges.Pedagogical strateg...This study explores the impact of generative artificial intelligence(AI)-enabled instruction on critical thinking in English essay writing among 1,050 first-year English majors across four colleges.Pedagogical strategies,including facilitating critical responses and emphasizing real-world application,are identified to enhance generative AI’s impact.Both qualitative and quantitative analyses reveal significant post-intervention improvements in critical thinking skills.This research contributes to understanding how generative AI can effectively foster critical thinking in educational settings.展开更多
Due to the ongoing global debate regarding the relationship between fintech and banks,including developing countries,this study aims to investigate this relationship in the case of Vietnam,an emerging nation.The study...Due to the ongoing global debate regarding the relationship between fintech and banks,including developing countries,this study aims to investigate this relationship in the case of Vietnam,an emerging nation.The study analyzes the relationship between fintech search and bank stock returns,which are measures of fintech and banks,respectively.The time series data for fintech and bank stock returns were obtained from Google Trends and Vietstock,respectively.Exploratory factor analysis was utilized to derive the fintech variables,while the bank stock return variable was calculated using a basket of eight listed banks from 2017w46 to 2021w46.The results were estimated using the vector autoregression and Granger causality method and validated with the copula method.A key finding of this study is the presence of a simultaneous negative change and bidirectional causality between bank stock returns and fintech lending.Furthermore,several other interesting findings were discovered:(1)the causal relationship from fintech to bank stock returns is weaker compared with the opposite direction;(2)unidirectional causality exists between different types of fintech,such as influence from FinFintech to FinLending,from FinPayment to FinLending and FinWallet,from FinMoney to FinFintech,from FinWallet to FinLending,and from FinProduct to FinFintech;and(3)there is an equal occurrence of simultaneous increase or decrease between bank stock returns and certain types of fintech,specifically between BankReturn and FinPayment,BankReturn and FinLending,as well as BankReturn and FinWallet.These findings shed light on the complex relationship between fintech and banks,offering insights that contribute to our understanding of this dynamic interplay in the context of Vietnam’s emerging fintech landscape.展开更多
This study aimed to evaluate the correlation between nursing informatics(NI)competency and information literacy skills for evidencebased practice(EBP)among intensive care nurses.This cross-sectional study was conducte...This study aimed to evaluate the correlation between nursing informatics(NI)competency and information literacy skills for evidencebased practice(EBP)among intensive care nurses.This cross-sectional study was conducted on 184 nurses working in intensive care units(ICUs).The study data were collected through demographic information,Nursing Informatics Competency Assessment Tool(NICAT),and information literacy skills for EBP questionnaires.The intensive care nurses received competent and low-moderate levels for the total scores of NI competency and information literacy skills,respectively.They received a moderate score for the use of different information resources but a low score for information searching skills,different search features,and knowledge about search operators,and only 31.5%of the nurses selected the most appropriate statement.NI competency and related subscales had a significant direct bidirectional correlation with information literacy skills for EBP and its subscales(P<0.05).Nurses require a high level of NI competency and information literacy for EBP to obtain up-to-date information and provide better care and decision-making.Health planners and policymakers should develop interventions to enhance NI competency and information literacy skills among nurses and motivate them to use EBP in clinical settings.展开更多
Energy poverty in developing countries is a critical issue characterized by the lack of access to modern energy services,such as electricity and clean cooking facilities,as marked in SDG 7.This study explores the corr...Energy poverty in developing countries is a critical issue characterized by the lack of access to modern energy services,such as electricity and clean cooking facilities,as marked in SDG 7.This study explores the correlations between energy poverty,energy intensity,resource abundance,and income inequality,as these factors have been theorized to play important roles in influencing energy poverty in developing countries.By observing that the dataset is heterogeneous across the countries and over the time frame,we use the Method of Moments Quantile Regression(MMQR)to analyze our developing countries’data from 2000 to 2019.Our findings indicate that energy intensity is a significant factor influencing energy poverty,suggesting that higher energy consumption relative to the sample countries can exacerbate this issue.Additionally,we observe that income inequality within the sample countries is a critical determinant of energy poverty levels,highlighting the dynamics between economic disparity and access to energy resources.Interestingly,our study reveals that resource abundance acts as a blessing rather than a curse in terms of energy poverty,implying that countries rich in natural resources may have better opportunities to combat energy deprivation.Finally,we emphasize the vital role of financial markets in addressing energy poverty on a global scale,suggesting that robust financial systems can facilitate investments and innovations aimed at improving energy access for vulnerable populations.The results from the robustness analysis support the empirical results obtained from the main estimation.The empirical findings of the present study advance important comprehensions for policymakers to adopt energy policies that address the complex challenges of energy poverty and promote inclusive energy access.展开更多
文摘The emergence of smart grids in India is propelled by an intricate interaction of market dynamics,regulatory structures,and stakeholder obligations.This study analyzes the primary factors that are driving the widespread use of smart grid technologies and outlines the specific roles and obligations of different stakeholders,such as government entities,utility companies,technology suppliers,and consumers.Government activities and regulations are crucial in facilitating the implementation of smart grid technology by offering financial incentives,regulatory assistance,and strategic guidance.Utility firms have the responsibility of implementing and integrating smart grid infrastructure,with an emphasis on improving the dependability of the grid,minimizing losses in transmission and distribution,and integrating renewable energy sources.Technology companies offer the essential hardware and software solutions,which stimulate creativity and enhance efficiency.Consumers actively engage in the energy ecosystem by participating in demand response,implementing energy saving measures,and adopting distributed energy resources like solar panels and electric vehicles.This study examines the difficulties and possibilities in India’s smart grid industry,highlighting the importance of cooperation among stakeholders to build a strong,effective,and environmentally friendly energy future.
文摘The Kosovo National Park is an area rich in exceptional natural values,including mountainous landscapes,rivers,green forests,and a rich biodiversity.This park offers opportunities for scenic views and is an ideal destination for those who wish to explore untouched nature.The region is rich in rare flora and fauna,which are important for the preservation of local ecosystems and the global environment.The main objective of this paper is to examine the opportunities and challenges of ecotourism development in the Kosovo National Park,focusing on balancing biodiversity conservation with economic benefits for the local community and sustainable tourism development.The methodology used in this paper is multidimensional,combining analysis of existing literature,similar case studies,and interviews with experts in the field and local stakeholders.This process allows for an in-depth understanding of the opportunities and challenges that ecotourism development presents.To collect reliable data,interviews were conducted with local authorities and environmental experts,and management policies and strategies of similar parks were analyzed.The data were analyzed through qualitative and quantitative methods.The research results show that the development of ecotourism in the Kosovo National Park can have a positive impact on nature conservation and can contribute to the economic development of the region.However,this development requires careful management and a balance between biodiversity conservation and economic benefits.Ecotourism activities should be guided by sustainable practices that respect the environment and provide long-term benefits.
文摘This study aims to assess the potential of natural tourism in Kosovo,especially in the Dukagjin region as a case study.The main objective is to identify and analyze this region’s tourism potential to understand its impact and importance.180 respondents from the Dukagjin region participated in this study,and the quantitative method was used as a methodology.The measurement instrument consisted of 30 closed questions,which aimed to collect detailed information on the potential of natural tourism in this area.The study results showed that mountain,cultural,winter,healing,and rural tourism are especially important for developing the Dukagjin region.Furthermore,the analysis shows that 30%of the tourism potential is explained by rural tourism,underlining its importance in the local economy.Finally,the study’s findings are discussed,emphasizing their practical value for promoting and developing sustainable tourism in the region.
文摘The study aims to identify and analyze the perceptions and expectations of tourists regarding tourism development in the Sharr Mountains Region.In the Sharr Mountains Region,sustainable tourism is another opportunity for economic growth,cultural integrity,and environmental conservation.Public investments are vital in enhancing this investment as they help to develop infrastructure,promote businesses,and even promote environment-friendly activities.The research seeks to understand the relationship between public investments and investments in sustainable tourism in the Sharr Mountains region,focusing on the direct and indirect relational aspects of the economy,conservation,and the people.Key questions,address their expectations from public investment,infrastructure improvements,involvement of local authorities and the community,as well as concerns regarding the potential negative impact of tourism on the natural environment and local culture.The methodology of this study includes in-depth research through the quantitative method.Based on the results of data analysis,recommendations include improving tourism infrastructure,increasing awareness of environmental impact,and developing environmental education programs for tourists.Among the proposed actions is the improvement of cooperation between local authorities,the local community,and the private sector for the sustainable development of tourism in the Sharr Mountains Region.Finally,this study provides an essential contribution to the understanding of the expectations,evaluations,and impacts of tourists in this region,defining the key points of sustainable tourism development.
文摘Global climate change has created substantial difficulties in the areas of sustainability,development,and environmental conservation due to the widespread dependence on fossil fuels for energy production.Nevertheless,the promotion of renewable energy programs has the potential to significantly expedite endeavors aimed at tackling climate change.Thus,it is essential to conduct a thorough analysis that considers the financial aspects to fully understand the main hurdles that are preventing the advancement of renewable energy initiatives.Italy is a leading country in the worldwide deployment of renewable energy.The objective of this research is to assess the impact of financial growth,economic progress,and energy expenses on Italy’s adoption of renewable energy sources.By employing the Auto-Regressive Distributed Lag(ARDL)technique,we analyzed annual data spanning from1990 to 2022.Findings revealed that a 1%increase in financial and economic development would boost renewable energy consumption in the long run by 0.29%and 0.48%,respectively.Instead,a 1%increase in energy prices might reduce consumption of renewable energy by 0.05%in the long run.This study’s primary significance lies in furnishing actionable strategies for Italy to augment green finance for renewable energy,fostering sustained social and economic progress.Moreover,the analytical insights gleaned from this research offer valuable insights for energy-importing nations worldwide.
文摘An individual's mental health influences their capacity to think effectively,feel emotionally stable,and perform daily activities.As mental health concerns become more prevalent worldwide,new awareness and diagnostic and treatment tactics are needed.Digital tools and technology are helping solve these problems by providing scalable,tailored solutions for large populations.This detailed review examines mental health‐promoting internet tools.Smartphone applications,web‐based therapy systems,wearable tech,artificial intelligence‐powered resources,and virtual reality(VR)technologies were evaluated for efficacy and side effects.PubMed,PsycINFO,Scopus,IEEE Xplore,and Google Scholar were carefully searched.Search terms included“digital mental health tools,”“online therapy,”and“AI in mental health.”Randomized controlled trials,cohort studies,cross‐sectional studies,systematic reviews,and meta‐analyses of digital technology and mental health were included from among the literature published after 2010.Cognitive behavioral therapy methods,mood monitoring,and mindfulness exercises are among the numerous features of smartphone applications that have been demonstrated to mitigate symptoms of anxiety,depression,and tension.Online therapy platforms let marginalized individuals obtain therapy remotely.Wearable technology may detect heart rate,blood pressure,and sleep length,which may reveal mental health difficulties.Chatbots employ machine learning algorithms and natural language processing to deliver customized support and show promise for quick intervention.Exposure therapy for anxiety and trauma is increasingly using virtual reality environments.Although digital mental health therapies face challenges in relation to data privacy,limited long‐term efficacy,and technological inequality,digital technologies are modernizing mental healthcare.By offering inexpensive and effective alternatives to traditional therapies,digital technologies may help healthcare systems meet the growing demand for mental health services and overall well‐being.
文摘Since Serbia disposes with significant natural potentials, it could have been among the most attractive countries in Europe only if the historical circumstances had been different. Existing natural resources and possibilities for their improvement demand planned strategy to make them efficient. Tourism, as a significant instrument of development, can and should take an active part in the strategy of sustainable development. Special attention in the paper is paid to the development of Vrnjacka Banja Spa as it is one of the main tourist destinations in Serbia. The strengths, weaknesses, opportunities, and threats of a business venture （SWOT） analysis offers the basic elements for defining the strategic direction and program priorities, measures and targets for improving the overall development of spas in Serbia. To identify the SWOT factors, we used materials from a number of studies on Serbian tourism, surveys on tourists in Vrnjcka Banja Spa and analysis of the market and competition. The SWOT analysis proves that the priority in development of spas in Serbia is attractiveness of the destination which involves the spa-health tourism with great potential in complementary forms of tourism, such as sport-recreational, cultural, transit and hunting tourism. It means that the future strategy should be based on improving and involving modern spa products. It means improving and maximizing marketing so as to make the tourist destination attractive. It further implies maximum investment in modern tourist products.
基金This work was supported by Taif University Researchers Supporting Project number(TURSP-2020/292),Taif University,Taif,Saudi Arabia.This research was funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University through the fast-track Research Funding Program.
文摘Social media platforms provide new value for markets and research companies.This article explores the use of social media data to enhance customer value propositions.The case study involves a company that develops wearable Internet of Things(IoT)devices and services for stress management.Netnography and semantic annotation for recognizing and categorizing the context of tweets are conducted to gain a better understanding of users’stress management practices.The aim is to analyze the tweets about stress management practices and to identify the context from the tweets.Thereafter,we map the tweets on pleasure and arousal to elicit customer insights.We analyzed a case study of a marketing strategy on the Twitter platform.Participants in the marketing campaign shared photos and texts about their stress management practices.Machine learning techniques were used to evaluate and estimate the emotions and contexts of the tweets posted by the campaign participants.The computational semantic analysis of the tweets was compared to the text analysis of the tweets.The content analysis of only tweet images resulted in 96%accuracy in detecting tweet context,while that of the textual content of tweets yielded an accuracy of 91%.Semantic tagging by Ontotext was able to detect correct tweet context with an accuracy of 50%.
文摘Behavioral operations management(BOM)is one of the new areas in operations management.In the past 12 years,the field has made huge progress and researchers have become interested in this new perspective to solving operational problems.BOM is now one of the major subfields of operations management.In this paper,we examine and categorize areas of BOM based on the mainstream literature.Key areas include behavioral issues in new product development and project management,quality management,production management,inventory management,service operations,and forecasting.Studies in each area are divided into three subcategories,including OM context,individual attributes,heuristics,and biases,and individual differences.In OM context category,feedback and reward,training,work monitoring,teamwork and group decision making,goal setting,task assignment,and flexibility are among the main topics.In individual attributes,heuristics,and biases category,sunk cost effect and escalation of commitment,endowment effect,overprecision bias,planning fallacy,pullto-center effect,anchoring and insufficient adjustment,and misperceptions of feedback are mainly discussed.In individual differences,analytic thinking and system thinking are mainly studied.New areas for research are suggested in each related section and are summarized in future directions and conclusion sections.In contexts such as new product development,project management,and inventory management,a shift to finding solution to performance improvement is beneficial instead of focusing on heuristics and biases and considering them as a deficiency in human decision making.Regarding individual differences category,a shift toward attributes other than cognitive abilities,such as global processing,creative thinking,and design thinking are recommended.
文摘One of the biggest dangers to society today is terrorism, where attacks have become one of the most significantrisks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) havebecome the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management,medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related,initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terroristattacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database(GTD) can influence the accuracy of the model’s classification of terrorist attacks, where each part of the datacan provide vital information to enrich the ability of classifier learning. Each data point in a multiclass taxonomyhas one or more tags attached to it, referred as “related tags.” We applied machine learning classifiers to classifyterrorist attack incidents obtained from the GTD. A transformer-based technique called DistilBERT extracts andlearns contextual features from text attributes to acquiremore information from text data. The extracted contextualfeatures are combined with the “key features” of the dataset and used to perform the final classification. Thestudy explored different experimental setups with various classifiers to evaluate the model’s performance. Theexperimental results show that the proposed framework outperforms the latest techniques for classifying terroristattacks with an accuracy of 98.7% using a combined feature set and extreme gradient boosting classifier.
基金The authors are the awardees of the Indian Council of Social Science Research(ICSSR)Research Program(F.No.G-11/2021-22/ICSSR/RP)This paper is largely an outcome of the research program sponsored by the ICSSR.However,the responsibility for the facts stated,opinions expressed,and conclusions drawn is entirely that of the authors.
文摘Objectives Robotic-assisted surgery(RAS)is a minimally invasive technique practiced in multiple specialties.Standard training is essential for the acquisition of RAS skills.The cost of RAS is considered to be high,which makes it a burden for institutes and unaffordable for patients.This systematic literature review(SLR)focused on the various RAS training methods applied in different surgical specialties,as well as the cost elements of RAS,and was to summarize the opportunities and challenges associated with scaling up RAS.Methods An SLR was carried out based on the Preferred Reporting Items for Systematic reviews and Meta-Analyses reporting guidelines.The PubMed,EBSCO,and Scopus databases were searched for reports from January 2018 through January 2024.Full-text reviews and research articles in the English language from Asia-Pacific countries were included.Articles that outlined training and costs associated with RAS were chosen.Results The most common training system is the da Vinci system.The simulation technique,which includes dry-lab,wet-lab,and virtual reality training,was found to be a common and important practice.The cost of RAS encompasses the installation and maintenance costs of the robotic system,the operation theatre rent,personnel cost,surgical instrument and material cost,and other miscellaneous charges.The synthesis of SLR revealed the challenges and opportunities regarding RAS training and cost.Conclusions The results of this SLR will help stakeholders such as decision-makers,influencers,and end users of RAS to understand the significance of training and cost in scaling up RAS from a managerial perspective.For any healthcare innovation to reach a vast population,cost-effectiveness and standard training are crucial.
基金funded and supported by the Maragheh University of Medical Sciences(MRGUMS)(IR.MARAGHEHPHC.REC.1402.001)Maragheh,Iran.
文摘Objective:To determine the overall and pooled prevalence of Leishmania(L.)infantum in sandfly vectors in Iran.Methods:The present research conducted a systematic review and meta-analysis and searched regional databases such as PubMed,Scopus,Web of Science(WoS),Embase,PAHO Iris,LILACS,WHO Iris,and local databases named:SID,Magiran,Civilica,and also grey literatures.The current research included studies that were conducted in Iran and examined L.infantum in different sandfly vectors.The studies’quality assessment/risk of bias assessment was evaluated by the Joanna Briggs Institute Critical Appraisal Checklist for prevalence data studies,and the data were analyzed by Stata 14 software.In addition,we examined 22 primary studies to estimate the overall prevalence of L.infantum among various vectors of visceral leishmaniasis.Results:According to the meta-analysis,the pooled prevalence of Phlebotomus(Ph.)tobbi,Ph.alexandri,Ph.kandelaki,Ph.perfiliewi,Ph.major,Ph.keshishiani were 5.34%,4.36%,2.23%,1.79%,4.37%and 1.18%.Ph.tobbi has the highest infection rate(25.00%)of L.infantum among the sandfly vectors.Conclusions:Visceral leishmaniasis is widespread in Fars,Ardebil,and East-Azerbaijan provinces,which are the most important endemic regions in Iran.
文摘The Internet of Things(IoT)is growing rapidly and impacting almost every aspect of our lives,fromwearables and healthcare to security,traffic management,and fleet management systems.This has generated massive volumes of data and security,and data privacy risks are increasing with the advancement of technology and network connections.Traditional access control solutions are inadequate for establishing access control in IoT systems to provide data protection owing to their vulnerability to single-point OF failure.Additionally,conventional privacy preservation methods have high latency costs and overhead for resource-constrained devices.Previous machine learning approaches were also unable to detect denial-of-service(DoS)attacks.This study introduced a novel decentralized and secure framework for blockchain integration.To avoid single-point OF failure,an accredited access control scheme is incorporated,combining blockchain with local peers to record each transaction and verify the signature to access.Blockchain-based attribute-based cryptography is implemented to protect data storage privacy by generating threshold parameters,managing keys,and revoking users on the blockchain.An innovative contract-based DOS attack mitigation method is also incorporated to effectively validate devices with intelligent contracts as trusted or untrusted,preventing the server from becoming overwhelmed.The proposed framework effectively controls access,safeguards data privacy,and reduces the risk of cyberattacks.The results depict that the suggested framework outperforms the results in terms of accuracy,precision,sensitivity,recall,and F-measure at 96.9%,98.43%,98.8%,98.43%,and 98.4%,respectively.
文摘Generically, SCM may be said to include all activities carried out to ensure proper functioning of the supply chain. The activities included in proper management of a supply chain broadly include logistics activities, planning and control of the flow of information and materials in a firm, management of relationships with other organizations and government intervention, However, crude oil theft and pipeline vandalism are established products supply chain disruptors in Nigeria which are rendering the task of running an efficient petroleum supply chain onerous. This paper aims to establish the importance of effective supply chain strategies for companies in the oil and gas industry with special focus on the Nigerian oil and gas sector and the strategies by which the state oil and gas corporation in this sector may mitigate disruptions to its supply chain. This study investigates the enhancement of supply chain strategies towards meeting the challenge of crude oil theft and pipeline vandalism, using the Nigerian National Corporation (NNPC) as a case study. Based on this study, data were collected from two sources: A summary of incident reports obtained from NNPC and an interview with personnel in the PPMC Department. Incident report refers to a report produced when accidents such as equipment failure, injury, loss of life, or fire occur at the work site. Content analysis is utilized to evaluate data obtained from interview responses, CBN financial stability reports, NDIC annual reports, circulars, banking supervision reports and implementation guidelines. The study found out that NNPC should endeavor to sustain its value chain and ward of pipeline vandals and crude oil thieves by engaging in community partnership, detailing security outfits to ensure its pipelines’ right of way and bridging. Concluded that the oil supply chain of the Nigerian National Petroleum Corporation has been plagued by disruptions in the form of crude oil theft and pipeline vandalism which has had debilitating effects on its value.
文摘Human digital twins(HDTs)are set to revolutionise human-system integration and improve human capacities,productivity,and well-being by including human character-istics in system design.Reflecting real-life behaviours and emotional reactions,HDTs render virtual data-driven models of people.Their presence in many fields-including office work,education,and healthcare-showcases their ability to advance diagnoses,workforce training,and individualised learning.However,the general HDTs acceptance hypothesis calls for a critical analysis of their ethical ramifications and social influence.Emphasising the need of social adaptations to maintain stability,structural functionalism provides a suited framework to examine the roles of HDTs inside social systems.Despite their obvious advantages,HDTs raise ethical questions.While addressing concerns about user acceptance and ethical norms,engineers,designers and the legal regulators,but also the users-by means of‘owners’-must consider the substantial consequences of HDTs and their customisation.HDTs'duality,like a double-edged sword,calls for deliberate usage and considerable thought to negotiate the changing terrain of human-machine interaction.
基金General Project of Philosophy and Social Science Research in Jiangsu Universities in 2024“Research on the Mining and Integration Strategy of Ideological and Political Elements in Business English Major Courses”(2024SISZ0787)。
文摘This study explores the impact of generative artificial intelligence(AI)-enabled instruction on critical thinking in English essay writing among 1,050 first-year English majors across four colleges.Pedagogical strategies,including facilitating critical responses and emphasizing real-world application,are identified to enhance generative AI’s impact.Both qualitative and quantitative analyses reveal significant post-intervention improvements in critical thinking skills.This research contributes to understanding how generative AI can effectively foster critical thinking in educational settings.
文摘Due to the ongoing global debate regarding the relationship between fintech and banks,including developing countries,this study aims to investigate this relationship in the case of Vietnam,an emerging nation.The study analyzes the relationship between fintech search and bank stock returns,which are measures of fintech and banks,respectively.The time series data for fintech and bank stock returns were obtained from Google Trends and Vietstock,respectively.Exploratory factor analysis was utilized to derive the fintech variables,while the bank stock return variable was calculated using a basket of eight listed banks from 2017w46 to 2021w46.The results were estimated using the vector autoregression and Granger causality method and validated with the copula method.A key finding of this study is the presence of a simultaneous negative change and bidirectional causality between bank stock returns and fintech lending.Furthermore,several other interesting findings were discovered:(1)the causal relationship from fintech to bank stock returns is weaker compared with the opposite direction;(2)unidirectional causality exists between different types of fintech,such as influence from FinFintech to FinLending,from FinPayment to FinLending and FinWallet,from FinMoney to FinFintech,from FinWallet to FinLending,and from FinProduct to FinFintech;and(3)there is an equal occurrence of simultaneous increase or decrease between bank stock returns and certain types of fintech,specifically between BankReturn and FinPayment,BankReturn and FinLending,as well as BankReturn and FinWallet.These findings shed light on the complex relationship between fintech and banks,offering insights that contribute to our understanding of this dynamic interplay in the context of Vietnam’s emerging fintech landscape.
文摘This study aimed to evaluate the correlation between nursing informatics(NI)competency and information literacy skills for evidencebased practice(EBP)among intensive care nurses.This cross-sectional study was conducted on 184 nurses working in intensive care units(ICUs).The study data were collected through demographic information,Nursing Informatics Competency Assessment Tool(NICAT),and information literacy skills for EBP questionnaires.The intensive care nurses received competent and low-moderate levels for the total scores of NI competency and information literacy skills,respectively.They received a moderate score for the use of different information resources but a low score for information searching skills,different search features,and knowledge about search operators,and only 31.5%of the nurses selected the most appropriate statement.NI competency and related subscales had a significant direct bidirectional correlation with information literacy skills for EBP and its subscales(P<0.05).Nurses require a high level of NI competency and information literacy for EBP to obtain up-to-date information and provide better care and decision-making.Health planners and policymakers should develop interventions to enhance NI competency and information literacy skills among nurses and motivate them to use EBP in clinical settings.
文摘Energy poverty in developing countries is a critical issue characterized by the lack of access to modern energy services,such as electricity and clean cooking facilities,as marked in SDG 7.This study explores the correlations between energy poverty,energy intensity,resource abundance,and income inequality,as these factors have been theorized to play important roles in influencing energy poverty in developing countries.By observing that the dataset is heterogeneous across the countries and over the time frame,we use the Method of Moments Quantile Regression(MMQR)to analyze our developing countries’data from 2000 to 2019.Our findings indicate that energy intensity is a significant factor influencing energy poverty,suggesting that higher energy consumption relative to the sample countries can exacerbate this issue.Additionally,we observe that income inequality within the sample countries is a critical determinant of energy poverty levels,highlighting the dynamics between economic disparity and access to energy resources.Interestingly,our study reveals that resource abundance acts as a blessing rather than a curse in terms of energy poverty,implying that countries rich in natural resources may have better opportunities to combat energy deprivation.Finally,we emphasize the vital role of financial markets in addressing energy poverty on a global scale,suggesting that robust financial systems can facilitate investments and innovations aimed at improving energy access for vulnerable populations.The results from the robustness analysis support the empirical results obtained from the main estimation.The empirical findings of the present study advance important comprehensions for policymakers to adopt energy policies that address the complex challenges of energy poverty and promote inclusive energy access.
