This paper studies the evolutionary process of cooperative behavior in a public goods game model with heterogeneous investment strategies in square lattices.In the proposed model,players are divided into defectors,coo...This paper studies the evolutionary process of cooperative behavior in a public goods game model with heterogeneous investment strategies in square lattices.In the proposed model,players are divided into defectors,cooperators and discreet investors.Among these,defectors do not participate in investing,discreet investors make heterogeneous investments based on the investment behavior and cooperation value of their neighbors,and cooperators invest equally in each neighbor.In real life,heterogeneous investment is often accompanied by time or economic costs.The discreet investors in this paper pay a certain price to obtain their neighbors'investment behavior and cooperation value,which quantifies the time and economic costs of the heterogeneous investment process.The results of Monte Carlo simulation experiments in this study show that discreet investors can effectively resist the invasion of the defectors,form a stable cooperative group and expand the cooperative advantage in evolution.However,when discreet investors pay too high a price,they lose their strategic advantage.The results in this paper help us understand the role of heterogeneous investment in promoting and maintaining human social cooperation.展开更多
For the goals of security and privacy preservation,we propose a blind batch encryption-and public ledger-based data sharing protocol that allows the integrity of sensitive data to be audited by a public ledger and all...For the goals of security and privacy preservation,we propose a blind batch encryption-and public ledger-based data sharing protocol that allows the integrity of sensitive data to be audited by a public ledger and allows privacy information to be preserved.Data owners can tightly manage their data with efficient revocation and only grant one-time adaptive access for the fulfillment of the requester.We prove that our protocol is semanticallly secure,blind,and secure against oblivious requesters and malicious file keepers.We also provide security analysis in the context of four typical attacks.展开更多
The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment ...The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment risk.The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research.In this paper,a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed.The proposedmethod utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion sentiment vectors expressing complex sentiments.It then analyzes the continuous impact of these vectors on the market through the use of aggregating techniques and public opinion data via a structured multi-head attention mechanism.The experimental results demonstrate that the public opinion sentiment vector can provide more comprehensive feedback on market sentiment than traditional sentiment polarity analysis.Furthermore,the multi-head attention mechanism is shown to improve prediction accuracy through attention convergence on each type of input information separately.Themean absolute percentage error(MAPE)of the proposedmethod is 0.463%,a reduction of 0.294% compared to the benchmark attention algorithm.Additionally,the market backtesting results indicate that the return was 24.560%,an improvement of 8.202% compared to the benchmark algorithm.These results suggest that themarket trading strategy based on thismethod has the potential to improve trading profits.展开更多
BACKGROUND Public employees worldwide are increasingly concerned about work anxiety and depression.Cognitive-behavioral career coaching has emerged as a promising strategy for addressing these mental health disorders,...BACKGROUND Public employees worldwide are increasingly concerned about work anxiety and depression.Cognitive-behavioral career coaching has emerged as a promising strategy for addressing these mental health disorders,which can negatively impact on a person's overall well-being and performance.AIM To examine whether cognitive-behavioral career coaching reduces work anxiety and depression among Nigerian public employees.METHODS A total of 120 public employees(n=60)suffering from severe anxiety and depression were randomly assigned to the treatment or control groups in this study.Cognitive behavioral coaching was provided twice a week to those in the treatment group,whereas no treatment was given to those in the control group.As part of the study,the Hamilton Anxiety Rating Scales and Beck Depression Inventory were used to collect data.RESULTS Analysis of covariance of the data from participants indicates a significant effect of cognitive-behavioral career coaching on work anxiety and depression.CONCLUSION Insights into the underlying mechanisms by which cognitive behavior career coaching exerts its effects have been gained from this study.Also,the study has gathered valuable data that can inform future practice and guide the development of strategies for supporting mental health at work.展开更多
Carbon peak and carbon neutrality(dual-carbon)are important targets for the international response to climate change.The Silk Road Economic Belt is a strategic resource region and is important for future ecological en...Carbon peak and carbon neutrality(dual-carbon)are important targets for the international response to climate change.The Silk Road Economic Belt is a strategic resource region and is important for future ecological environment and tourism development.Based on the“dual-carbon”targets,the Single index quantification,Multiple index synthesis,and Poly-criteria integration evaluation model were used in this study to measure the coordinated development index of the ecological environment,public service,and tourism economy along the Silk Road Economic Belt and to analyze its spatial and temporal evolution.Further,it explores the dynamic evolution and development trend of the three systems using the Kernel Density and Grey Markov Prediction Model.The results show that the coordinated development index along this region needs to be improved during the study period.Furthermore,the coordinated development index of the Southwest region is relatively higher than that of the Northwest region.From the development trend of the three systems,all of them develop in a stable manner;however,the tourism economy system is easily affected by external disturbances.The coordinated development index of the three systems changes dynamically and tends to be in a good state of coordination.There is a certain spatial and temporal heterogeneity.The gravity center of the coordinated development index has been in the Southwest region.During the forecast period,the coordinated development index along this region will improve significantly,while insufficient and unbalanced development will continue.展开更多
To effectively deal with fuzzy and uncertain information in public engineering emergencies,an emergency decision-making method based on multi-granularity language information is proposed.Firstly,decision makers select...To effectively deal with fuzzy and uncertain information in public engineering emergencies,an emergency decision-making method based on multi-granularity language information is proposed.Firstly,decision makers select the appropriate language phrase set according to their own situation,give the preference information of the weight of each key indicator,and then transform the multi-granularity language information through consistency.On this basis,the sequential optimization technology of the approximately ideal scheme is introduced to obtain the weight coefficient of each key indicator.Subsequently,the weighted average operator is used to aggregate the preference information of each alternative scheme with the relative importance of decision-makers and the weight of key indicators in sequence,and the comprehensive evaluation value of each scheme is obtained to determine the optimal scheme.Lastly,the effectiveness and practicability of the method are verified by taking the earthwork collapse accident in the construction of a reservoir as an example.展开更多
Digital technology has driven the innovation of architectural design methods and tools,applying digital techniques to allow greater possibilities for more innovative and scientific design of public building spaces.Thi...Digital technology has driven the innovation of architectural design methods and tools,applying digital techniques to allow greater possibilities for more innovative and scientific design of public building spaces.This article first analyzes the characteristics of digital visualization and its advantages in the design of urban public building spaces,including aspects such as visualizing three-dimensional expression,rational analysis of building space,Virtual Reality Experience,and integration of design and construction processes.Subsequently,by introducing digital design methods such as parametric design,algorithmic generation,nonlinear design,and artificial intelligence-assisted design,it explores the methods and implementation approaches of digital visualization in the design of public building spaces.The aim is to offer insights and references for the deeper integration of digital technology into architectural design practices.展开更多
Using an original public opinion survey, we study public attitudes and behaviors toward air pollution in Almaty, Kazakhstan. In the Health Belief Model (HBM) framework previously used to understand an individual’s he...Using an original public opinion survey, we study public attitudes and behaviors toward air pollution in Almaty, Kazakhstan. In the Health Belief Model (HBM) framework previously used to understand an individual’s health decision-making, we evaluate citizens’ awareness of the poor air quality, their perception of risk, and their willingness to devote time and resources to reduce their air pollution exposure. We find that although citizens are aware of the gravity and general harms of air pollution, they significantly underestimate their individual health risks, and, as a result, often engage in daily routines that exacerbate their exposure to pollution. We find that behaviors increasing the risk of pollution exposure are related to the underlying beliefs about personal health risks, self-efficacy, and material and economic limitations. This means that treating pollution as an individual health problem rather than social issue in public discourse may promote behaviors reducing exposure and improving personal and public health outcomes.展开更多
This paper explores the concept of the new public sphere and public discourse in the context of globalisation.It starts by analyzing how globalisation has affected the emergence of the new public sphere and the role t...This paper explores the concept of the new public sphere and public discourse in the context of globalisation.It starts by analyzing how globalisation has affected the emergence of the new public sphere and the role that digital technologies have played in it.The influence of the new public sphere on public discourse during globalisation is discussed,along with how it has affected accessibility,citizen engagement,and power dynamics.The paper also examines the various issues that the new public sphere during globalisation brings to the forefront of public discourse,such as the increased spread of false information,polarization of opinion,marginalization of oppressed groups,cultural appropriation,privacy concerns,surveillance,censorship,and the digital divide.It concludes by arguing that the new public sphere and public discourse during globalisation can be beneficial but should be managed carefully to ensure it is a positive force for society.展开更多
As China s largest oil crop,rape occupies a central position in ensuring the safety of China s cooking oil supply.This paper introduced China s rapeseed industry from the rape type,rapeseed production,planting area,na...As China s largest oil crop,rape occupies a central position in ensuring the safety of China s cooking oil supply.This paper introduced China s rapeseed industry from the rape type,rapeseed production,planting area,national rapeseed production protected area,rape national dominant characteristic industrial clusters,and rapeseed industry,etc.Besides,from the aspects of geographical indication products,geographical indication trademarks,and geographical indications of agricultural products,this paper discussed the intellectual property protection of geographical indications of rape,rapeseed,and rapeseed oil in China.It analyzed the main problems such as the lag in the formulation of relevant standards for geographical indications and the low use of special signs for geographical indications,and finally came up with recommendations including building a public brand of geographical indications and expanding foreign exchanges of geographical indications.展开更多
Public environmental concern(PEC)is an important bottom-up force in building an environmentally sustainable society.Guided by attitude theory,this paper innovatively constructed a PEC evaluation index system,while int...Public environmental concern(PEC)is an important bottom-up force in building an environmentally sustainable society.Guided by attitude theory,this paper innovatively constructed a PEC evaluation index system,while introducing entropy weighted-TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)to realize the assessment of PEC.Exploratory spatial data analysis was used to portray the spatio-temporal evolution patterns of PEC in 362 Chinese cities at prefecture-level and above from 2011 to 2018.Furthermore,the Geodetector model was performed to identify the multi-dimensional determinants of PEC from the perspective of spatial heterogeneity.The results indicated that:1)PEC in China exhibited a fluctuating upward trend,consistent with the spatial distribution law of‘Heihe-Tengchong Line’and‘Bole-Taipei Line’;2)the driving effect of each factor varied dynamically,but in general,economic development level,population size,industrial wastewater,and education level were the dominant driving factors explaining the spatial variation of PEC;3)risk detection revealed that four factors,government environmental regulations,PM_(2.5),vegetation coverage,and natural resource endowment,had nonlinear effects on PEC;4)the interactions between factors all demonstrated an enhancement in explaining the spatial differentiation of PEC.PEC was driven by the comprehensive interaction of four-dimensional factors of economy,society,pollutant emissions,and ecology.Among them,population agglomeration accompanied by a high level of regional economy and information technology can explain the increase in PEC to the greatest extent.展开更多
Purpose: This study takes advantage of newly released journal metrics to investigate whether local journals with more qualified boards have lower acceptance rates, based on data from 219 Turkish national journals and ...Purpose: This study takes advantage of newly released journal metrics to investigate whether local journals with more qualified boards have lower acceptance rates, based on data from 219 Turkish national journals and 2,367 editorial board members.Design/methodology/approach: This study argues that journal editors can signal their scholarly quality by publishing in reputable journals. Conversely, editors publishing inside articles in affiliated national journals would send negative signals. The research predicts that high(low) quality editorial boards will conduct more(less) selective evaluation and their journals will have lower(higher) acceptance rates. Based on the publication strategy of editors, four measures of board quality are defined: Number of board inside publications per editor(INSIDER), number of board Social Sciences Citation Index publications per editor(SSCI), inside-to-SSCI article ratio(ISRA), and board citation per editor(CITATION). Predictions are tested by correlation and regression analysis.Findings: Low-quality board proxies(INSIDER, ISRA) are positively, and high-quality board proxies(SSCI, CITATION) are negatively associated with acceptance rates. Further, we find that receiving a larger number of submissions, greater women representation on boards, and Web of Science and Scopus(WOSS) coverage are associated with lower acceptance rates. Acceptance rates for journals range from 12% to 91%, with an average of 54% and a median of 53%. Law journals have significantly higher average acceptance rate(68%) than other journals, while WOSS journals have the lowest(43%). Findings indicate some of the highest acceptance rates in Social Sciences literature, including competitive Business and Economics journals that traditionally have low acceptance rates. Limitations: Research relies on local context to define publication strategy of editors. Findings may not be generalizable to mainstream journals and core science countries where emphasis on research quality is stronger and editorial selection is based on scientific merit.Practical implications: Results offer useful insights into editorial management of national journals and allow us to make sense of local editorial practices. The importance of scientific merit for selection to national journal editorial boards is particularly highlighted for sound editorial evaluation of submitted manuscripts.Originality/value: This is the first attempt to document a significant relation between acceptance rates and editorial board publication behavior.展开更多
AIM:To perform a bibliometric analysis in the field of primary angle-closure disease(PACD)research to characterize current global trends and compare contributions from different countries,institutions,journals,and aut...AIM:To perform a bibliometric analysis in the field of primary angle-closure disease(PACD)research to characterize current global trends and compare contributions from different countries,institutions,journals,and authors.METHODS:All PACD-related publications from 1991 to 2022 from the Web of Science Core Collection database were extracted.Microsoft Excel and VOSviewer were used to collect publication data,analyze publication trends,and visualize relevant results.RESULTS:A total of 1721 publications with 34591 citations were identified.China produced the most publications(554)while ranking third in citations(8220 times).The United States contributed the most citations(12315 times)with publications(362)ranking second.The Investigative Ophthalmology Visual Science was the most productive journal concerning PACD,and Aung Tin was the author with the highest number of publications in the field.Keywords were classified into three clusters,epidemiology and pathogenesis research,optical coherence tomography(OCT)and other imaging examinations,and glaucoma surgery treatment.Genome-wide association,susceptibility loci,OCT,and combined phacoemulsification have become new hot research topics in recent years since 2015.CONCLUSION:China,the United States,and Singapore make the most outstanding contributions in the field of PACD research.OCT,combined phacoemulsification,and gene mutation-related study,are considered the potential focus for future research.展开更多
Thailand has been on the World Health Organization(WHO)’s notorious deadliest road list for several years,currently ranking eighth on the list.Among all types of road fatalities,pickup trucks converted into vehicles ...Thailand has been on the World Health Organization(WHO)’s notorious deadliest road list for several years,currently ranking eighth on the list.Among all types of road fatalities,pickup trucks converted into vehicles for public transportation are found to be the most problematic due to their high occupancy and minimal passenger safety measures,such as safety belts.Passenger overloading is illegal,but it is often overlooked.The country often uses police checkpoints to enforce traffic laws.However,there are few or no highway patrols to apprehend offending drivers.Therefore,in this study,we propose the use of existing closed-circuit television(CCTV)traffic cameras with deep learning techniques to classify overloaded public transport pickup trucks(PTPT)to help reduce accidents.As the said type of vehicle and its passenger occupancy characteristics are unique,a new model is deemed necessary.The contributions of this study are as follows:First,we used various state-of-the-art object detection YOLOv5(You Only Look Once)models to obtain the optimum overcrowded model pretrained on our manually labeled dataset.Second,we made our custom dataset available.Upon investigation,we compared all the latestYOLOv5 models and discovered that theYOLOv5L yielded the optimal performance with a mean average precision(mAP)of 95.1%and an inference time of 33 frames per second(FPS)on a graphic processing unit(GPU).We aim to deploy the selected model on traffic control computers to alert the police of such passenger-overloading violations.The use of a chosen algorithm is feasible and is expected to help reduce trafficrelated fatalities.展开更多
Purpose:Nowadays,public opinions during public emergencies involve not only textual contents but also contain images.However,the existing works mainly focus on textual contents and they do not provide a satisfactory a...Purpose:Nowadays,public opinions during public emergencies involve not only textual contents but also contain images.However,the existing works mainly focus on textual contents and they do not provide a satisfactory accuracy of sentiment analysis,lacking the combination of multimodal contents.In this paper,we propose to combine texts and images generated in the social media to perform sentiment analysis.Design/methodology/approach:We propose a Deep Multimodal Fusion Model(DMFM),which combines textual and visual sentiment analysis.We first train word2vec model on a large-scale public emergency corpus to obtain semantic-rich word vectors as the input of textual sentiment analysis.BiLSTM is employed to generate encoded textual embeddings.To fully excavate visual information from images,a modified pretrained VGG16-based sentiment analysis network is used with the best-performed fine-tuning strategy.A multimodal fusion method is implemented to fuse textual and visual embeddings completely,producing predicted labels.Findings:We performed extensive experiments on Weibo and Twitter public emergency datasets,to evaluate the performance of our proposed model.Experimental results demonstrate that the DMFM provides higher accuracy compared with baseline models.The introduction of images can boost the performance of sentiment analysis during public emergencies.Research limitations:In the future,we will test our model in a wider dataset.We will also consider a better way to learn the multimodal fusion information.Practical implications:We build an efficient multimodal sentiment analysis model for the social media contents during public emergencies.Originality/value:We consider the images posted by online users during public emergencies on social platforms.The proposed method can present a novel scope for sentiment analysis during public emergencies and provide the decision support for the government when formulating policies in public emergencies.展开更多
Background: Dual Practice (DP) allows full-time public sector doctors to concurrently offer the same clinical services in the private sector. The debate against this practice seems to be largely influenced by its pote...Background: Dual Practice (DP) allows full-time public sector doctors to concurrently offer the same clinical services in the private sector. The debate against this practice seems to be largely influenced by its potential to reduce the contracted hours in the public sector and shift attention to private work. Purpose: The purpose of this secondary research is to estimate the monetary value of hours lost to the Nigerian public healthcare system when full-time government employee doctors are engaged in private practice. It attempts to quantify the amount of resource outflow from the public system due to absences and lateness arising from competition for time between the public system’s contracted hours and private practice. Methods: Sensitivity analysis in Excel 2010 was used to calculate doctors’ hourly pay in the public sector using the 2015 Consolidated Medical Salary Structure for medical and dental officers in Nigeria’s federal public service. The parameters used for the calculation were the official 40-hour working week and the average monthly gross pay of doctors on different grade levels. Hypothetical scenarios of hours lost due to absences associated with DP were created. The value of different hypothetical hour losses by the percentage of doctors assumed to engage in dual practice across all doctor grade levels was then computed. Results: The estimated annual value of hours lost from dual practice to a single public tertiary care hospital was N4,851,754 or 15,855 USD (best case scenario) and N19,407,017 or 63,422 USD (worst case scenario) for the normal routine work and N1,800,133 or 5883 USD (best case scenario) and N3,600,266 or 11,766 USD (worst case scenario) for the on-call duty. Conclusion: The government may have been paying salaries for large volumes of work not rendered in the public sector. The overall financial impact of dual practice in the Nigerian public system might be negative.展开更多
The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work pr...The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work proposes a strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game. It starts with the requirement analysis of autonomous collaboration in unmanned swarm;and an aspiration-driven multiplayer evolutionary game model is established based on the requirement. Then the average abundance function and strategy dominance condition of the model are constructed by theoretical derivation. Furthermore, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via simulation,and the influences of the multiplication factor r, aspiration levelα, threshold m and other parameters on the strategy dominance conditions were simulated for both linear and threshold public goods games(PGGs) to determine the strategy dominance characteristics;Finally, deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.展开更多
Endometriosis is a clinical and recurrent condition characterized by the presence of functional endometrial tissue outside the uterine cavity and myometrium. It is estimated that 6% to 10% of women of reproductive age...Endometriosis is a clinical and recurrent condition characterized by the presence of functional endometrial tissue outside the uterine cavity and myometrium. It is estimated that 6% to 10% of women of reproductive age, 50% to 60% of adolescents and adults with pelvic pain, and up to 50% of women with infertility are pregnant from the condition. However, this proportion tends to be even greater due to the difficulty in diagnosing it: because it presents different symptoms, lack of information from health professionals, and a high-cost diagnostic test. Another aggravating factor is the average time from the onset of symptoms to the medical diagnosis, which even today ranges from five to ten years;this delay has consequences for disease progression, as it prevents early treatment, which is important for improving pain levels and physical and psychological well-being. Aware of these mishaps, it is therefore important to assess the difficulties faced by doctors in the diagnosis of endometriosis in the public health system, in Brazil, the Unified Health System (SUS). With this purpose, a cross sectional was carried out, developed in the virtual environment using traffic in Google forms, with the difficulties quantified in the Likert scale. Participating physicians pointed out a medium difficulty for patients with endometriosis to access the consultation (58%) and moderate difficulty (52%) to perform an ultrasound examination;also signaled great difficulty in performing magnetic resonance imaging (77%) and laparotomy (61%) in these patients. It is hoped that knowledge about the difficulties faced by physicians in the diagnosis of endometriosis in the SUS will give these physicians a voice and corroborate, even if minimally, so that there is more research that provokes the search for these difficulties, in order to improving the quality of life of these women.展开更多
BACKGROUND This is a secondary database study using the Brazilian public healthcare system database.AIM To describe intestinal complications(ICs)of patients in the Brazilian public healthcare system with Crohn’s dise...BACKGROUND This is a secondary database study using the Brazilian public healthcare system database.AIM To describe intestinal complications(ICs)of patients in the Brazilian public healthcare system with Crohn’s disease(CD)who initiated and either only received conventional therapy(CVT)or also initiated anti-tumor necrosis factor(anti-TNF)therapy between 2011 and 2020.METHODS This study included patients with CD[international classification of diseases–10th revision(ICD-10):K50.0,K50.1,or K50.8](age:≥18 years)with at least one claim of CVT(sulfasalazine,azathioprine,mesalazine,or methotrexate).IC was defined as a CD-related hospitalization,pre-defined procedure codes(from rectum or intestinal surgery groups),and/or associated disease(pre-defined ICD-10 codes),and overall(one or more type of ICs).RESULTS In the 16809 patients with CD that met the inclusion criteria,the mean follow-up duration was 4.44(2.37)years.In total,14697 claims of ICs were found from 4633 patients.Over the 1-and 5-year of follow-up,8.3%and 8.2%of the patients with CD,respectively,presented at least one IC,of which fistula(31%)and fistulotomy(48%)were the most commonly reported.The overall incidence rate(95%CI)of ICs was 6.8(6.5–7.04)per 100 patient years for patients using only-CVT,and 9.2(8.8–9.6)for patients with evidence of anti-TNF therapy.CONCLUSION The outcomes highlighted an important and constant rate of ICs over time in all the CD populations assessed,especially in patients exposed to anti-TNF therapy.This outcome revealed insights into the real-world treatment and complications relevant to patients with CD and highlights that this disease remains a concern that may require additional treatment strategies in the Brazilian public healthcare system.展开更多
基金Project supported by the Open Foundation of Key Laboratory of Software Engineering of Yunnan Province(Grant Nos.2020SE308 and 2020SE309).
文摘This paper studies the evolutionary process of cooperative behavior in a public goods game model with heterogeneous investment strategies in square lattices.In the proposed model,players are divided into defectors,cooperators and discreet investors.Among these,defectors do not participate in investing,discreet investors make heterogeneous investments based on the investment behavior and cooperation value of their neighbors,and cooperators invest equally in each neighbor.In real life,heterogeneous investment is often accompanied by time or economic costs.The discreet investors in this paper pay a certain price to obtain their neighbors'investment behavior and cooperation value,which quantifies the time and economic costs of the heterogeneous investment process.The results of Monte Carlo simulation experiments in this study show that discreet investors can effectively resist the invasion of the defectors,form a stable cooperative group and expand the cooperative advantage in evolution.However,when discreet investors pay too high a price,they lose their strategic advantage.The results in this paper help us understand the role of heterogeneous investment in promoting and maintaining human social cooperation.
基金partially supported by the National Natural Science Foundation of China under grant no.62372245the Foundation of Yunnan Key Laboratory of Blockchain Application Technology under Grant 202105AG070005+1 种基金in part by the Foundation of State Key Laboratory of Public Big Datain part by the Foundation of Key Laboratory of Computational Science and Application of Hainan Province under Grant JSKX202202。
文摘For the goals of security and privacy preservation,we propose a blind batch encryption-and public ledger-based data sharing protocol that allows the integrity of sensitive data to be audited by a public ledger and allows privacy information to be preserved.Data owners can tightly manage their data with efficient revocation and only grant one-time adaptive access for the fulfillment of the requester.We prove that our protocol is semanticallly secure,blind,and secure against oblivious requesters and malicious file keepers.We also provide security analysis in the context of four typical attacks.
基金funded by the Major Humanities and Social Sciences Research Projects in Zhejiang higher education institutions,grant number 2023QN082,awarded to Cheng ZhaoThe National Natural Science Foundation of China also provided funding,grant number 61902349,awarded to Cheng Zhao.
文摘The present study examines the impact of short-term public opinion sentiment on the secondary market,with a focus on the potential for such sentiment to cause dramatic stock price fluctuations and increase investment risk.The quantification of investment sentiment indicators and the persistent analysis of their impact has been a complex and significant area of research.In this paper,a structured multi-head attention stock index prediction method based adaptive public opinion sentiment vector is proposed.The proposedmethod utilizes an innovative approach to transform numerous investor comments on social platforms over time into public opinion sentiment vectors expressing complex sentiments.It then analyzes the continuous impact of these vectors on the market through the use of aggregating techniques and public opinion data via a structured multi-head attention mechanism.The experimental results demonstrate that the public opinion sentiment vector can provide more comprehensive feedback on market sentiment than traditional sentiment polarity analysis.Furthermore,the multi-head attention mechanism is shown to improve prediction accuracy through attention convergence on each type of input information separately.Themean absolute percentage error(MAPE)of the proposedmethod is 0.463%,a reduction of 0.294% compared to the benchmark attention algorithm.Additionally,the market backtesting results indicate that the return was 24.560%,an improvement of 8.202% compared to the benchmark algorithm.These results suggest that themarket trading strategy based on thismethod has the potential to improve trading profits.
文摘BACKGROUND Public employees worldwide are increasingly concerned about work anxiety and depression.Cognitive-behavioral career coaching has emerged as a promising strategy for addressing these mental health disorders,which can negatively impact on a person's overall well-being and performance.AIM To examine whether cognitive-behavioral career coaching reduces work anxiety and depression among Nigerian public employees.METHODS A total of 120 public employees(n=60)suffering from severe anxiety and depression were randomly assigned to the treatment or control groups in this study.Cognitive behavioral coaching was provided twice a week to those in the treatment group,whereas no treatment was given to those in the control group.As part of the study,the Hamilton Anxiety Rating Scales and Beck Depression Inventory were used to collect data.RESULTS Analysis of covariance of the data from participants indicates a significant effect of cognitive-behavioral career coaching on work anxiety and depression.CONCLUSION Insights into the underlying mechanisms by which cognitive behavior career coaching exerts its effects have been gained from this study.Also,the study has gathered valuable data that can inform future practice and guide the development of strategies for supporting mental health at work.
基金supported by the Hebei Province Cultural and Artistic Science Planning and Tourism Research Project[Grant No.HB22-ZD002].
文摘Carbon peak and carbon neutrality(dual-carbon)are important targets for the international response to climate change.The Silk Road Economic Belt is a strategic resource region and is important for future ecological environment and tourism development.Based on the“dual-carbon”targets,the Single index quantification,Multiple index synthesis,and Poly-criteria integration evaluation model were used in this study to measure the coordinated development index of the ecological environment,public service,and tourism economy along the Silk Road Economic Belt and to analyze its spatial and temporal evolution.Further,it explores the dynamic evolution and development trend of the three systems using the Kernel Density and Grey Markov Prediction Model.The results show that the coordinated development index along this region needs to be improved during the study period.Furthermore,the coordinated development index of the Southwest region is relatively higher than that of the Northwest region.From the development trend of the three systems,all of them develop in a stable manner;however,the tourism economy system is easily affected by external disturbances.The coordinated development index of the three systems changes dynamically and tends to be in a good state of coordination.There is a certain spatial and temporal heterogeneity.The gravity center of the coordinated development index has been in the Southwest region.During the forecast period,the coordinated development index along this region will improve significantly,while insufficient and unbalanced development will continue.
文摘To effectively deal with fuzzy and uncertain information in public engineering emergencies,an emergency decision-making method based on multi-granularity language information is proposed.Firstly,decision makers select the appropriate language phrase set according to their own situation,give the preference information of the weight of each key indicator,and then transform the multi-granularity language information through consistency.On this basis,the sequential optimization technology of the approximately ideal scheme is introduced to obtain the weight coefficient of each key indicator.Subsequently,the weighted average operator is used to aggregate the preference information of each alternative scheme with the relative importance of decision-makers and the weight of key indicators in sequence,and the comprehensive evaluation value of each scheme is obtained to determine the optimal scheme.Lastly,the effectiveness and practicability of the method are verified by taking the earthwork collapse accident in the construction of a reservoir as an example.
文摘Digital technology has driven the innovation of architectural design methods and tools,applying digital techniques to allow greater possibilities for more innovative and scientific design of public building spaces.This article first analyzes the characteristics of digital visualization and its advantages in the design of urban public building spaces,including aspects such as visualizing three-dimensional expression,rational analysis of building space,Virtual Reality Experience,and integration of design and construction processes.Subsequently,by introducing digital design methods such as parametric design,algorithmic generation,nonlinear design,and artificial intelligence-assisted design,it explores the methods and implementation approaches of digital visualization in the design of public building spaces.The aim is to offer insights and references for the deeper integration of digital technology into architectural design practices.
文摘Using an original public opinion survey, we study public attitudes and behaviors toward air pollution in Almaty, Kazakhstan. In the Health Belief Model (HBM) framework previously used to understand an individual’s health decision-making, we evaluate citizens’ awareness of the poor air quality, their perception of risk, and their willingness to devote time and resources to reduce their air pollution exposure. We find that although citizens are aware of the gravity and general harms of air pollution, they significantly underestimate their individual health risks, and, as a result, often engage in daily routines that exacerbate their exposure to pollution. We find that behaviors increasing the risk of pollution exposure are related to the underlying beliefs about personal health risks, self-efficacy, and material and economic limitations. This means that treating pollution as an individual health problem rather than social issue in public discourse may promote behaviors reducing exposure and improving personal and public health outcomes.
基金from 2019 Jiangsu Provincial Social Science Foundation Project(No.19YYA003)2019 Research Projects of Philosophy and Social Science in Colleges and Universities in Jiangsu Province(No.2019SJA0435)to provide the financial support that enabled me to conduct this research.
文摘This paper explores the concept of the new public sphere and public discourse in the context of globalisation.It starts by analyzing how globalisation has affected the emergence of the new public sphere and the role that digital technologies have played in it.The influence of the new public sphere on public discourse during globalisation is discussed,along with how it has affected accessibility,citizen engagement,and power dynamics.The paper also examines the various issues that the new public sphere during globalisation brings to the forefront of public discourse,such as the increased spread of false information,polarization of opinion,marginalization of oppressed groups,cultural appropriation,privacy concerns,surveillance,censorship,and the digital divide.It concludes by arguing that the new public sphere and public discourse during globalisation can be beneficial but should be managed carefully to ensure it is a positive force for society.
基金Youth Project of the National Social Science Fund of China(22CMZ015).
文摘As China s largest oil crop,rape occupies a central position in ensuring the safety of China s cooking oil supply.This paper introduced China s rapeseed industry from the rape type,rapeseed production,planting area,national rapeseed production protected area,rape national dominant characteristic industrial clusters,and rapeseed industry,etc.Besides,from the aspects of geographical indication products,geographical indication trademarks,and geographical indications of agricultural products,this paper discussed the intellectual property protection of geographical indications of rape,rapeseed,and rapeseed oil in China.It analyzed the main problems such as the lag in the formulation of relevant standards for geographical indications and the low use of special signs for geographical indications,and finally came up with recommendations including building a public brand of geographical indications and expanding foreign exchanges of geographical indications.
基金Under the auspices of National Social Science Foundation of China(No.21BJY194)Natural Science Foundation of Hainan Province(No.722RC631)。
文摘Public environmental concern(PEC)is an important bottom-up force in building an environmentally sustainable society.Guided by attitude theory,this paper innovatively constructed a PEC evaluation index system,while introducing entropy weighted-TOPSIS(Technique for Order Preference by Similarity to Ideal Solution)to realize the assessment of PEC.Exploratory spatial data analysis was used to portray the spatio-temporal evolution patterns of PEC in 362 Chinese cities at prefecture-level and above from 2011 to 2018.Furthermore,the Geodetector model was performed to identify the multi-dimensional determinants of PEC from the perspective of spatial heterogeneity.The results indicated that:1)PEC in China exhibited a fluctuating upward trend,consistent with the spatial distribution law of‘Heihe-Tengchong Line’and‘Bole-Taipei Line’;2)the driving effect of each factor varied dynamically,but in general,economic development level,population size,industrial wastewater,and education level were the dominant driving factors explaining the spatial variation of PEC;3)risk detection revealed that four factors,government environmental regulations,PM_(2.5),vegetation coverage,and natural resource endowment,had nonlinear effects on PEC;4)the interactions between factors all demonstrated an enhancement in explaining the spatial differentiation of PEC.PEC was driven by the comprehensive interaction of four-dimensional factors of economy,society,pollutant emissions,and ecology.Among them,population agglomeration accompanied by a high level of regional economy and information technology can explain the increase in PEC to the greatest extent.
文摘Purpose: This study takes advantage of newly released journal metrics to investigate whether local journals with more qualified boards have lower acceptance rates, based on data from 219 Turkish national journals and 2,367 editorial board members.Design/methodology/approach: This study argues that journal editors can signal their scholarly quality by publishing in reputable journals. Conversely, editors publishing inside articles in affiliated national journals would send negative signals. The research predicts that high(low) quality editorial boards will conduct more(less) selective evaluation and their journals will have lower(higher) acceptance rates. Based on the publication strategy of editors, four measures of board quality are defined: Number of board inside publications per editor(INSIDER), number of board Social Sciences Citation Index publications per editor(SSCI), inside-to-SSCI article ratio(ISRA), and board citation per editor(CITATION). Predictions are tested by correlation and regression analysis.Findings: Low-quality board proxies(INSIDER, ISRA) are positively, and high-quality board proxies(SSCI, CITATION) are negatively associated with acceptance rates. Further, we find that receiving a larger number of submissions, greater women representation on boards, and Web of Science and Scopus(WOSS) coverage are associated with lower acceptance rates. Acceptance rates for journals range from 12% to 91%, with an average of 54% and a median of 53%. Law journals have significantly higher average acceptance rate(68%) than other journals, while WOSS journals have the lowest(43%). Findings indicate some of the highest acceptance rates in Social Sciences literature, including competitive Business and Economics journals that traditionally have low acceptance rates. Limitations: Research relies on local context to define publication strategy of editors. Findings may not be generalizable to mainstream journals and core science countries where emphasis on research quality is stronger and editorial selection is based on scientific merit.Practical implications: Results offer useful insights into editorial management of national journals and allow us to make sense of local editorial practices. The importance of scientific merit for selection to national journal editorial boards is particularly highlighted for sound editorial evaluation of submitted manuscripts.Originality/value: This is the first attempt to document a significant relation between acceptance rates and editorial board publication behavior.
基金Supported by Shanghai Clinical Research Key Project(No.SHDC2020CR6029)。
文摘AIM:To perform a bibliometric analysis in the field of primary angle-closure disease(PACD)research to characterize current global trends and compare contributions from different countries,institutions,journals,and authors.METHODS:All PACD-related publications from 1991 to 2022 from the Web of Science Core Collection database were extracted.Microsoft Excel and VOSviewer were used to collect publication data,analyze publication trends,and visualize relevant results.RESULTS:A total of 1721 publications with 34591 citations were identified.China produced the most publications(554)while ranking third in citations(8220 times).The United States contributed the most citations(12315 times)with publications(362)ranking second.The Investigative Ophthalmology Visual Science was the most productive journal concerning PACD,and Aung Tin was the author with the highest number of publications in the field.Keywords were classified into three clusters,epidemiology and pathogenesis research,optical coherence tomography(OCT)and other imaging examinations,and glaucoma surgery treatment.Genome-wide association,susceptibility loci,OCT,and combined phacoemulsification have become new hot research topics in recent years since 2015.CONCLUSION:China,the United States,and Singapore make the most outstanding contributions in the field of PACD research.OCT,combined phacoemulsification,and gene mutation-related study,are considered the potential focus for future research.
基金This work was supported by(i)Suranaree University of Technology,(ii)Thailand Science Research and Innovation,and(iii)National Science Research and Innovation Fund(Grant Number:RU-7-706-59-03).
文摘Thailand has been on the World Health Organization(WHO)’s notorious deadliest road list for several years,currently ranking eighth on the list.Among all types of road fatalities,pickup trucks converted into vehicles for public transportation are found to be the most problematic due to their high occupancy and minimal passenger safety measures,such as safety belts.Passenger overloading is illegal,but it is often overlooked.The country often uses police checkpoints to enforce traffic laws.However,there are few or no highway patrols to apprehend offending drivers.Therefore,in this study,we propose the use of existing closed-circuit television(CCTV)traffic cameras with deep learning techniques to classify overloaded public transport pickup trucks(PTPT)to help reduce accidents.As the said type of vehicle and its passenger occupancy characteristics are unique,a new model is deemed necessary.The contributions of this study are as follows:First,we used various state-of-the-art object detection YOLOv5(You Only Look Once)models to obtain the optimum overcrowded model pretrained on our manually labeled dataset.Second,we made our custom dataset available.Upon investigation,we compared all the latestYOLOv5 models and discovered that theYOLOv5L yielded the optimal performance with a mean average precision(mAP)of 95.1%and an inference time of 33 frames per second(FPS)on a graphic processing unit(GPU).We aim to deploy the selected model on traffic control computers to alert the police of such passenger-overloading violations.The use of a chosen algorithm is feasible and is expected to help reduce trafficrelated fatalities.
基金This paper is supported by the National Natural Science Foundation of China under contract No.71774084,72274096the National Social Science Fund of China under contract No.16ZDA224,17ZDA291.
文摘Purpose:Nowadays,public opinions during public emergencies involve not only textual contents but also contain images.However,the existing works mainly focus on textual contents and they do not provide a satisfactory accuracy of sentiment analysis,lacking the combination of multimodal contents.In this paper,we propose to combine texts and images generated in the social media to perform sentiment analysis.Design/methodology/approach:We propose a Deep Multimodal Fusion Model(DMFM),which combines textual and visual sentiment analysis.We first train word2vec model on a large-scale public emergency corpus to obtain semantic-rich word vectors as the input of textual sentiment analysis.BiLSTM is employed to generate encoded textual embeddings.To fully excavate visual information from images,a modified pretrained VGG16-based sentiment analysis network is used with the best-performed fine-tuning strategy.A multimodal fusion method is implemented to fuse textual and visual embeddings completely,producing predicted labels.Findings:We performed extensive experiments on Weibo and Twitter public emergency datasets,to evaluate the performance of our proposed model.Experimental results demonstrate that the DMFM provides higher accuracy compared with baseline models.The introduction of images can boost the performance of sentiment analysis during public emergencies.Research limitations:In the future,we will test our model in a wider dataset.We will also consider a better way to learn the multimodal fusion information.Practical implications:We build an efficient multimodal sentiment analysis model for the social media contents during public emergencies.Originality/value:We consider the images posted by online users during public emergencies on social platforms.The proposed method can present a novel scope for sentiment analysis during public emergencies and provide the decision support for the government when formulating policies in public emergencies.
文摘Background: Dual Practice (DP) allows full-time public sector doctors to concurrently offer the same clinical services in the private sector. The debate against this practice seems to be largely influenced by its potential to reduce the contracted hours in the public sector and shift attention to private work. Purpose: The purpose of this secondary research is to estimate the monetary value of hours lost to the Nigerian public healthcare system when full-time government employee doctors are engaged in private practice. It attempts to quantify the amount of resource outflow from the public system due to absences and lateness arising from competition for time between the public system’s contracted hours and private practice. Methods: Sensitivity analysis in Excel 2010 was used to calculate doctors’ hourly pay in the public sector using the 2015 Consolidated Medical Salary Structure for medical and dental officers in Nigeria’s federal public service. The parameters used for the calculation were the official 40-hour working week and the average monthly gross pay of doctors on different grade levels. Hypothetical scenarios of hours lost due to absences associated with DP were created. The value of different hypothetical hour losses by the percentage of doctors assumed to engage in dual practice across all doctor grade levels was then computed. Results: The estimated annual value of hours lost from dual practice to a single public tertiary care hospital was N4,851,754 or 15,855 USD (best case scenario) and N19,407,017 or 63,422 USD (worst case scenario) for the normal routine work and N1,800,133 or 5883 USD (best case scenario) and N3,600,266 or 11,766 USD (worst case scenario) for the on-call duty. Conclusion: The government may have been paying salaries for large volumes of work not rendered in the public sector. The overall financial impact of dual practice in the Nigerian public system might be negative.
基金supported by the National Natural Science Foundation of China(71901217)the National Key R&D Program of China(2018YFC0806900).
文摘The key advantage of unmanned swarm operation is its autonomous cooperation. How to improve the proportion of cooperators is one of the key issues of autonomous collaboration in unmanned swarm operations. This work proposes a strategy dominance mechanism of autonomous collaboration in unmanned swarm within the framework of public goods game. It starts with the requirement analysis of autonomous collaboration in unmanned swarm;and an aspiration-driven multiplayer evolutionary game model is established based on the requirement. Then the average abundance function and strategy dominance condition of the model are constructed by theoretical derivation. Furthermore, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via simulation,and the influences of the multiplication factor r, aspiration levelα, threshold m and other parameters on the strategy dominance conditions were simulated for both linear and threshold public goods games(PGGs) to determine the strategy dominance characteristics;Finally, deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.
文摘Endometriosis is a clinical and recurrent condition characterized by the presence of functional endometrial tissue outside the uterine cavity and myometrium. It is estimated that 6% to 10% of women of reproductive age, 50% to 60% of adolescents and adults with pelvic pain, and up to 50% of women with infertility are pregnant from the condition. However, this proportion tends to be even greater due to the difficulty in diagnosing it: because it presents different symptoms, lack of information from health professionals, and a high-cost diagnostic test. Another aggravating factor is the average time from the onset of symptoms to the medical diagnosis, which even today ranges from five to ten years;this delay has consequences for disease progression, as it prevents early treatment, which is important for improving pain levels and physical and psychological well-being. Aware of these mishaps, it is therefore important to assess the difficulties faced by doctors in the diagnosis of endometriosis in the public health system, in Brazil, the Unified Health System (SUS). With this purpose, a cross sectional was carried out, developed in the virtual environment using traffic in Google forms, with the difficulties quantified in the Likert scale. Participating physicians pointed out a medium difficulty for patients with endometriosis to access the consultation (58%) and moderate difficulty (52%) to perform an ultrasound examination;also signaled great difficulty in performing magnetic resonance imaging (77%) and laparotomy (61%) in these patients. It is hoped that knowledge about the difficulties faced by physicians in the diagnosis of endometriosis in the SUS will give these physicians a voice and corroborate, even if minimally, so that there is more research that provokes the search for these difficulties, in order to improving the quality of life of these women.
文摘BACKGROUND This is a secondary database study using the Brazilian public healthcare system database.AIM To describe intestinal complications(ICs)of patients in the Brazilian public healthcare system with Crohn’s disease(CD)who initiated and either only received conventional therapy(CVT)or also initiated anti-tumor necrosis factor(anti-TNF)therapy between 2011 and 2020.METHODS This study included patients with CD[international classification of diseases–10th revision(ICD-10):K50.0,K50.1,or K50.8](age:≥18 years)with at least one claim of CVT(sulfasalazine,azathioprine,mesalazine,or methotrexate).IC was defined as a CD-related hospitalization,pre-defined procedure codes(from rectum or intestinal surgery groups),and/or associated disease(pre-defined ICD-10 codes),and overall(one or more type of ICs).RESULTS In the 16809 patients with CD that met the inclusion criteria,the mean follow-up duration was 4.44(2.37)years.In total,14697 claims of ICs were found from 4633 patients.Over the 1-and 5-year of follow-up,8.3%and 8.2%of the patients with CD,respectively,presented at least one IC,of which fistula(31%)and fistulotomy(48%)were the most commonly reported.The overall incidence rate(95%CI)of ICs was 6.8(6.5–7.04)per 100 patient years for patients using only-CVT,and 9.2(8.8–9.6)for patients with evidence of anti-TNF therapy.CONCLUSION The outcomes highlighted an important and constant rate of ICs over time in all the CD populations assessed,especially in patients exposed to anti-TNF therapy.This outcome revealed insights into the real-world treatment and complications relevant to patients with CD and highlights that this disease remains a concern that may require additional treatment strategies in the Brazilian public healthcare system.
