Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered...Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered questionnaire was conducted in 2020 and included 33,902 community residents aged 40-64 years from 5 cities in Osaka Prefecture,Japan.Of these,12,446(36.7%)agreed to participate in the survey.After exclusion of those with regular visits to medical institutions and those with missing data,the analysis included 3742 participants.Health literacy was measured by the communicative and critical health literacy(CCHL)scale,and participants were classified into 3 groups(low,medium,and high health literacy groups)by the tertiles of the CCHL scale score.Physical inactivity was defined as not completing at least 150 min of moderate-intensity physical activity throughout the week.Results:After adjustment for age,gender,education level,occupation,economic status,living alone,and stages of health behavior change,the multivariable-adjusted odds ratios(ORs)for physical inactivity were 1.36(95% confidence interval[CI]:1.16-1.59,P<0.001)in the medium health literacy group and 1.70(95%CI:1.36-2.11,P<0.001)in the low health literacy group compared with the high health literacy group.Conclusions:This large-scale study provides compelling evidence that those with inadequate health literacy are at higher risk for physical inactivity among middle-aged adults.展开更多
Objectives:This study aimed to generate a theoretical framework based on empirical data to explain the behavioral patterns closely related to young and middle-aged patients with lymphoma throughout the disease.Methods...Objectives:This study aimed to generate a theoretical framework based on empirical data to explain the behavioral patterns closely related to young and middle-aged patients with lymphoma throughout the disease.Methods:This study followed the classic grounded theory methodology,involving procedures such as theoretical sampling,substantive coding,theoretical coding,constant comparison,and memo writing and sorting.Multiple data types were used based on the principle of“all is data,”including 34 participants providing interview data along with observation notes and 40 relevant secondary texts from the“Lymphoma House”network platform and the“Lymphoma House 086”public account.Two autobiographical books written by lymphoma patients were also selected as data resources.Data collection and analysis were conducted in an iterative process until theoretical saturation was reached.The COREQ checklist was followed to report this study.Results:The main concern of middle-aged and young patients with lymphoma was identifiedas restoring normality,while managing uncertainty was the main behavioral pattern for restoring normality.Uncertainty consists of two interrelated types:inherent uncertainty of illness and perceived uncertainty of patients.Four strategies are used to manage uncertainty:reconstructing certainty,adaptive coping,defensive buffering,and compensatory changing.Managing uncertainty is influenced by disease characteristics and perceptions,social resources,and cultural concepts.The consequence of managing uncertainty is reaching a new normality.Conclusions:Pervasive uncertainty significantly affects the daily lives of young and middle-aged patients with lymphoma.Consequently,strategies for managing disease-related uncertainty to sustain normality are commonly observed in this population.This theoretical framework for addressing uncertainty can serve as a foundation for understanding and developing tailored interventions to manage uncertainty.Future research should focus on managing uncertainty to help patients restore normality.展开更多
Objective: To explore the association between cardiometabolic multimorbidity and frailty among middle- aged and older adults in China. Methods: Data were derived from the 2013 wave of the China Longitudinal Healthy Lo...Objective: To explore the association between cardiometabolic multimorbidity and frailty among middle- aged and older adults in China. Methods: Data were derived from the 2013 wave of the China Longitudinal Healthy Longevity Survey, including a total of 6,179 individuals aged 45 years and above with complete follow-up records. Basic demographic information was collected, and frailty status was assessed using a physical frailty scale. Generalized linear models were employed to analyze the association between the number and combinations of cardiometabolic conditions- such as hypertension, diabetes, heart disease, and stroke-and frailty. Results: The prevalence of cardiometabolic multimorbidity among middle-aged and older adults was 14.23%. After adjusting for sociodemographic covariates, individuals with cardiometabolic multimorbidity had a significantly increased risk of frailty compared to those without such conditions (OR = 1.78, 95% CI: 1.45-2.19), along with higher frailty scale scores (β = 0.26, 95% CI: 0.19-0.34). Compared to individuals without cardiometabolic diseases, those with both hypertension and stroke (OR = 1.18, 95% CI: 1.06-1.31) and those with hypertension, heart disease, and stroke (OR = 1.46, 95% CI: 1.24-1.73) exhibited notably higher frailty risks. Conclusion: There is a significant association between cardiometabolic multimorbidity and frailty in middle- aged and older adults in China, particularly for comorbidity patterns involving hypertension. These findings provide evidence for developing targeted health interventions for aging populations.展开更多
Objective:To explore the current status of social alienation and its influencing factors among young and middle-aged stroke patients in Dali.Methods:A convenience sampling method was used to survey 385 young and middl...Objective:To explore the current status of social alienation and its influencing factors among young and middle-aged stroke patients in Dali.Methods:A convenience sampling method was used to survey 385 young and middle-aged stroke patients in a tertiary hospital in Dali from December 2024 to July 2025.Questionnaires including general demographic information,the General Alienation Scale,the Athens insomnia scale,and others were administered.Results:The social alienation score of young and middle-aged stroke patients in Dali was(35.67±3.46).Univariate analysis showed that general demographic factors[education level,monthly household income,whether it was the first onset,presence of sequelae,disease duration,activities of daily living(ADL,Barthel Index)],social support,stigma,self-perceived burden,anxiety and depression,and sleep status were influencing factors of social alienation(P<0.05).Regression analysis indicated that social support,anxiety and depression,disease duration,stigma,presence of sequelae,and self-care ability were significant influencing factors of social alienation(P<0.01),explaining 65.3%of the total variance.Conclusion:The level of social alienation among young and middle-aged stroke patients in Dali is relatively low.Special attention should be paid to patients with a disease duration of<7 days,those with sequelae,moderate-to-severe dependence in self-care,low social support,high stigma,and high levels of anxiety and depression,to effectively reduce their social alienation.展开更多
Objective:To analyze the impact and mechanism of the SOC model intervention on improving health literacy and reducing disease uncertainty among young and middle-aged patients with coronary heart disease.Methods:A hund...Objective:To analyze the impact and mechanism of the SOC model intervention on improving health literacy and reducing disease uncertainty among young and middle-aged patients with coronary heart disease.Methods:A hundred young and middle-aged patients with coronary heart disease from our hospital between March and October 2024 were randomly divided into an observation group and a control group,with 50 patients in each group.Both groups received routine nursing intervention,while the observation group also received intervention based on the Stages of Change(SOC)model.The intervention period was 30 days.Changes in self-efficacy,health literacy,and disease uncertainty were compared between the two groups before and after the intervention.Results:After the intervention,the self-efficacy scores of both groups increased significantly,and the observation group had higher self-efficacy scores than the control group,with a significant difference(P<0.05).Additionally,the observation group showed significantly higher levels of health literacy than the control group(P<0.001).Furthermore,the observation group had significantly lower scores for disease uncertainty compared to the control group(P<0.001).Conclusion:The SOC model,in addition to routine nursing,significantly affects self-efficacy,disease uncertainty,and health literacy among young and middle-aged patients with coronary heart disease.It helps to enhance patients’knowledge of coronary heart disease,improve health literacy levels,and reduce disease uncertainty,making it worthy of clinical promotion and application.展开更多
Objective:This study aims to assess the influence of Metabolic Syndrome(MS)on the risk and severity of Coronary Artery Disease(CAD)in middle-aged and elderly women(40-75 years old),to inform evidence-based prevention ...Objective:This study aims to assess the influence of Metabolic Syndrome(MS)on the risk and severity of Coronary Artery Disease(CAD)in middle-aged and elderly women(40-75 years old),to inform evidence-based prevention and management strategies for this population.Methods:A retrospective study enrolled 200 middle-aged and elderly female patients(aged 40-75 years)who underwent coronary angiography(CAG)at our hospital between January 2024 and March 2025.Participants were divided into an MS group(n=88)and a non-MS group(n=112)based on meeting MS diagnostic criteria.General clinical data including age,body mass index[BMI],blood pressure,blood glucose,blood lipids,and more were collected for both groups.The severity of coronary artery lesions was quantified using the Gensini score.Differences in the positive rate of coronary artery lesions,the number of diseased vessel segments,and Gensini scores between the two groups were compared.Results:Patients in the MS group exhibited a significantly higher prevalence of coronary artery lesions(79.55%vs.48.21%,p<0.001),a greater proportion of multivessel disease(46.59%vs.18.75%,p<0.05),and higher Gensini scores(25.72±14.28 vs.16.35±9.86,p<0.05)compared to the non-MS group.Conclusion:Metabolic syndrome is a significant risk factor for coronary artery disease in middle-aged and elderly women,substantially increasing both the incidence and severity of coronary lesions.Clinical efforts should focus on enhancing screening and comprehensive intervention for metabolic syndrome in this population to reduce the risk of coronary heart disease.展开更多
BACKGROUND Breast cancer(BC)is the second most common malignancy globally.Young and middle-aged patients face more pressures from diagnosis,treatment,costs,and psychological issues like self-image concerns,social barr...BACKGROUND Breast cancer(BC)is the second most common malignancy globally.Young and middle-aged patients face more pressures from diagnosis,treatment,costs,and psychological issues like self-image concerns,social barriers,and professional challenges.Compared to other age groups,they have higher recurrence rates,lower survival rates,and increased risk of depression.Research is lacking on factors influencing depressive symptoms and predictive models for this age group.AIM To analyze factors influencing depressive symptoms in young/middle-aged BC patients and construct a depression risk predictive model.METHODS A total of 360 patients undergoing BC treatment at two tertiary hospitals in Jiangsu Province,China from November 2023 to April 2024 were included in the study.Participants were surveyed using a general information questionnaire,the patient health questionnaire depression scale,the visual analog scale for pain,the revised family support scale,and the long form of the international physical activity questionnaire.Univariate and multivariate analyses were conducted to identify the factors affecting depression in middle-aged and young BC patients,and a predictive model for depression risk was developed based on these findings.RESULTS Among the 360 middle-aged and young BC patients,the incidence rate of depressive symptoms was 38.61%(139/360).Multivariate analysis revealed that tumor grade,patient’s monthly income,pain score,family support score,and physical activity score were factors influencing depression in this patient group(P<0.05).The risk prediction model constructed based on these factors yielded an area under the receiver operating characteristic curve of 0.852,with a maximum Youden index of 0.973,sensitivity of 86.80%,specificity of 89.50%,and a diagnostic odds ratio of 0.552.The Hosmer-Lemeshow test for goodness of fit indicated an adequate model fit(χ^(2)=0.360,P=0.981).CONCLUSION The constructed predictive model demonstrates good predictive performance and can serve as a reference for medical professionals to early identify high-risk patients and implement corresponding preventive measures to decrease the incidence of depressive symptoms in this population.展开更多
A recommender system is a tool designed to suggest relevant items to users based on their preferences and behaviors.Collaborative filtering,a popular technique within recommender systems,predicts user interests by ana...A recommender system is a tool designed to suggest relevant items to users based on their preferences and behaviors.Collaborative filtering,a popular technique within recommender systems,predicts user interests by analyzing patterns in interactions and similarities between users,leveraging past behavior data to make personalized recommendations.Despite its popularity,collaborative filtering faces notable challenges,and one of them is the issue of grey-sheep users who have unusual tastes in the system.Surprisingly,existing research has not extensively explored outlier detection techniques to address the grey-sheep problem.To fill this research gap,this study conducts a comprehensive comparison of 12 outlier detectionmethods(such as LOF,ABOD,HBOS,etc.)and introduces innovative user representations aimed at improving the identification of outliers within recommender systems.More specifically,we proposed and examined three types of user representations:1)the distribution statistics of user-user similarities,where similarities were calculated based on users’rating vectors;2)the distribution statistics of user-user similarities,but with similarities derived from users represented by latent factors;and 3)latent-factor vector representations.Our experiments on the Movie Lens and Yahoo!Movie datasets demonstrate that user representations based on latent-factor vectors consistently facilitate the identification of more grey-sheep users when applying outlier detection methods.展开更多
AIM:To evaluate the prevalence of early post-traumatic stress disorder(PTSD)among young and middle-aged patients who have suffered open globe injuries,and to identify the psychosocial factors influencing PTSD in these...AIM:To evaluate the prevalence of early post-traumatic stress disorder(PTSD)among young and middle-aged patients who have suffered open globe injuries,and to identify the psychosocial factors influencing PTSD in these patients.METHODS:A total of 280 patients who underwent ocular trauma surgery between January 2023 and January 2024 were selected through convenience sampling.Data were collected using a custom-designed demographic questionnaire,the Connor-Davidson Resilience Scale(CDRISC),the Cognitive Emotion Regulation Questionnaire(C-ERRI),and the PTSD Checklist-Civilian Version(PCL-C).Univariate analysis and stepwise multiple linear regression analysis were performed to determine the factors affecting PTSD in these patients.RESULTS:The average PTSD score for the patients was 33.22±13.48.The scores for individual PTSD dimensions,ranked from highest to lowest,were recurrent traumatic experiences,heightened arousal,avoidance reactions,and social dysfunction.Positive PTSD symptoms were observed in 85 patients(30.36%).Univariate analysis indicated that gender,postoperative vision,marital status,psychological resilience,and rumination were significant factors affecting PTSD symptoms(χ^(2)/t=6.53,17.88,8.83,2.17,and 14.1,respectively;all P<0.05).Pearson correlation analysis showed a positive correlation between rumination and PTSD symptoms(r=0.73,P<0.01)and a negative correlation between psychological resilience and PTSD symptoms(r=-0.14,P<0.05).Stepwise multiple linear regression analysis identified postoperative vision(notably eye removal),rumination levels,and psychological resilience(optimism)as major factors influencing PTSD in these patients(R^(2)=0.57,P<0.001).CONCLUSION:Young and middle-aged patients with open globe injuries have a high incidence of PTSD.Significant risk factors for early PTSD include primary enucleation,high levels of rumination,and low psychological resilience(optimism).Conversely,patients with good postoperative vision recovery,low rumination levels,and high levels of optimism are less likely to develop PTSD.Healthcare providers should pay special attention to patients who undergo primary enucleation,strive to reduce their rumination levels,and enhance their psychological resilience,thereby promoting a positive and optimistic attitude towards their condition and reducing the incidence of PTSD.展开更多
[Objectives]To systematically evaluate the impact of interventions based on the Common Sense Model of Self-Regulation(CSM)on the psychosocial adaptation of young and middle-aged patients with acute coronary syndrome(A...[Objectives]To systematically evaluate the impact of interventions based on the Common Sense Model of Self-Regulation(CSM)on the psychosocial adaptation of young and middle-aged patients with acute coronary syndrome(ACS),providing evidence-based support for clinical practice.[Methods]A systematic review was conducted using a literature search method,systematically searching through Chinese and English databases such as PubMed,Embase,Cochrane Library,CINAHL,China National Knowledge Infrastructure(CNKI),Wanfang Database,and VIP Database,from the database inception to December 31,2024.The search focused on studies related to the impact of the CSM on the psychosocial adaptation of young and middle-aged ACS patients.Two researchers independently performed literature screening,quality assessment,and data extraction.[Results]A total of 18 studies were included,comprising 12 randomized controlled trials,4 quasi-experimental studies,and 2 cohort studies,involving 2847 young and middle-aged ACS patients.Interventions based on the CSM significantly improved patients disease perception,emotional regulation,self-efficacy,and quality of life.Patients in the intervention group showed significant reductions in anxiety and depression levels,cardiac-related fear,and improvements in disease perception accuracy,treatment adherence,and social function recovery.[Conclusions]Interventions based on the CSM can effectively promote the psychosocial adaptation of young and middle-aged ACS patients,improve their disease perception and emotional state,and enhance their quality of life.It is recommended that this model be widely applied in the clinical care of young and middle-aged ACS patients.展开更多
Objective:To explore the application effect of the hospital-community-family model-based combined rehabilitation exercise intervention on middle-aged and elderly patients with chronic kidney disease.Methods:Using the ...Objective:To explore the application effect of the hospital-community-family model-based combined rehabilitation exercise intervention on middle-aged and elderly patients with chronic kidney disease.Methods:Using the convenience sampling method,80 patients in the stable stage of CKD who were treated in the nephrology department of a tertiary hospital from May 2022 to June 2023 were selected as the research subjects.They were divided into the experimental group(40 cases)and the control group(40 cases)by random number table method.The control group received conventional exercise intervention plus telephone follow-up,while the experimental group received combined hospital-community-family modelbased exercise intervention in addition to the control group,using remote medical guidance and monitoring of the application effect of exercise rehabilitation on middle-aged and elderly patients with chronic kidney disease.The glomerular filtration rate,6-minute walking distance,fatigue and social support scores of the two groups of patients were measured before the intervention,4 weeks after the intervention,and 12 weeks after the intervention.Results:Before the intervention,there were no statistically significant differences in glomerular filtration rate,6-minute walking distance,fatigue and social support scores between the two groups(p>0.05).After 12 weeks of intervention,the glomerular filtration rate,6-minute walking distance and social support scores of the experimental group were higher than those of the control group;the differences were statistically significant(p<0.05).The behavioral,emotional,sensory and cognitive scores of the Piper-Fatigue Revised Scale of the experimental group were lower than those of the control group,and the differences were statistically significant(p<0.05).Conclusion:Based on the hospital-community-family model combined rehabilitation exercise,using remote medical guidance for the continuous care of middle-aged and elderly patients in the stable stage of chronic kidney disease can effectively improve the exercise endurance and social support level of patients,improve the fatigue condition,and the implementation effect is positively correlated with the intervention time.展开更多
This article reviews the characteristics of psychological disorders in young and middle-aged acute coronary syndrome(ACS)patients,the mechanisms and effects of various psychological intervention strategies,factors inf...This article reviews the characteristics of psychological disorders in young and middle-aged acute coronary syndrome(ACS)patients,the mechanisms and effects of various psychological intervention strategies,factors influencing return to work,and current research problems and development trends,to provide scientific evidence for psychological rehabilitation and social function recovery of young and middle-aged ACS patients.展开更多
Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion.Existing identification methods based on Graph Neural Networks(GNNs)often l...Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion.Existing identification methods based on Graph Neural Networks(GNNs)often lead to yield inaccurate features of influential users due to neighborhood aggregation,and require a large substantial amount of labeled data for training,making them difficult and challenging to apply in practice.To address this issue,we propose a semi-supervised contrastive learning method for identifying influential users.First,the proposed method constructs positive and negative samples for contrastive learning based on multiple node centrality metrics related to influence;then,contrastive learning is employed to guide the encoder to generate various influence-related features for users;finally,with only a small amount of labeled data,an attention-based user classifier is trained to accurately identify influential users.Experiments conducted on three public social network datasets demonstrate that the proposed method,using only 20%of the labeled data as the training set,achieves F1 values that are 5.9%,5.8%,and 8.7%higher than those unsupervised EVC method,and it matches the performance of GNN-based methods such as DeepInf,InfGCN and OlapGN,which require 80%of labeled data as the training set.展开更多
With increasing awareness of environmental protection and rising carbon emission costs,participation in electricity and carbon markets for energy-intensive industrial users will become an effective way to reduce opera...With increasing awareness of environmental protection and rising carbon emission costs,participation in electricity and carbon markets for energy-intensive industrial users will become an effective way to reduce operating costs and carbon emissions.In this regard,a novel Stackelberg game framework is developed in this study for coordinated participation in coupled electricity‒carbon markets.Specifically,generalized carbon emission models and electricity consumption models for different energy-intensive industrial users are established,and a Stackelberg game-based interactive operation strategy is proposed for load aggregators(LAs)and energy-intensive industrial users in joint electricity‒carbon markets,where the LA works as a leader who chooses proper interactive prices to maximize the comprehensive benefit,whereas energy-intensive industrial users serve as followers who minimize the total energy costs in response to the interactive prices set by the LA.Then,the existence and uniqueness of the Stackelberg equilibrium(SE)are analyzed,and a decentralized solution algorithm is suggested to reach the SE.Finally,the simulation results demonstrate that the proposed interactive operation strategy can not only increase the profit of the LA but also reduce the cost of energy-intensive industrial users,which achieves a win-win result.展开更多
The ubiquitous adoption of mobile devices as essential platforms for sensitive data transmission has heightened the demand for secure client-server communication.Although various authentication and key agreement proto...The ubiquitous adoption of mobile devices as essential platforms for sensitive data transmission has heightened the demand for secure client-server communication.Although various authentication and key agreement protocols have been developed,current approaches are constrained by homogeneous cryptosystem frameworks,namely public key infrastructure(PKI),identity-based cryptography(IBC),or certificateless cryptography(CLC),each presenting limitations in client-server architectures.Specifically,PKI incurs certificate management overhead,IBC introduces key escrow risks,and CLC encounters cross-system interoperability challenges.To overcome these shortcomings,this study introduces a heterogeneous signcryption-based authentication and key agreement protocol that synergistically integrates IBC for client operations(eliminating PKI’s certificate dependency)with CLC for server implementation(mitigating IBC’s key escrow issue while preserving efficiency).Rigorous security analysis under the mBR(modified Bellare-Rogaway)model confirms the protocol’s resistance to adaptive chosen-ciphertext attacks.Quantitative comparisons demonstrate that the proposed protocol achieves 10.08%–71.34%lower communication overhead than existing schemes across multiple security levels(80-,112-,and 128-bit)compared to existing protocols.展开更多
Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three ...Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design.展开更多
The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-gener...The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.展开更多
In order to promote the growth of mid-aged Pinus elliottii plantation, the effects of different fertilizing amounts of formula fertilizer were studied on the growth, the soil and cost-benefit of 9 year-old Pinus el/io...In order to promote the growth of mid-aged Pinus elliottii plantation, the effects of different fertilizing amounts of formula fertilizer were studied on the growth, the soil and cost-benefit of 9 year-old Pinus el/iottii plantations in the north- ern part of Hunan, China. Three years after fertilization, the results showed that the increments of DBH, height, individual volume and stock volume of stand, and the fertilizer benefit of the different fertilization treatments were higher than the control to varying degrees, and among them, 700 g/tree was the best for promoting the growth of Pinus elliottii. Two years fertilization, the soil nutrients were improved compared with before, pH values of different layers decreased, organic matter and rapid available K contents increased, and rapid available N content increased dra- matically with the upper layer having an increase higher than the lower one; rapid available P decreased at different levels with the upper layer having a decrease lower than the lower one; and proper application of fertilizer could promote the growth of Pisolithus tinctofius, and 7 months after fertilization, the number of Pisolithus fruiting body generally increased with the increase of the fertilizer within 100-800 g/tree. The yield and benefit per unit area could be increased by fertiliza- tion for 1 time in middle-aged Pinus elliottii plantations, and the best fertilizing amount was N-P-K fertilizer 700 g/tree.展开更多
Objective： To understand the prevalence and behavioral risk factors of HIV infection among injection drug users in the Pearl River Delta Region （PRDR） of Guangdong province, and to provide evidence for establishing...Objective： To understand the prevalence and behavioral risk factors of HIV infection among injection drug users in the Pearl River Delta Region （PRDR） of Guangdong province, and to provide evidence for establishing effective intervention strategies. Methods： Face to face interviews were conducted and serum samples from injection drug users from detoxification centers and the community were collected for HIV screening. Results： 655 drug users were recruited and interviewed. The HIV seropositive rate was 29.0%. 99.5 % of subjects were injection drug users （IDUs）, of whom,75.4% reported sharing injection equipment. Conclusion： HIV prevalence among injection drug users is high in the PRDR of Guangdong. Injection drug use is the principal behavioral risk factor for HIV transmission. Pragmatic harm reduction programs should be implemented to prevent the spread of HIV infection.展开更多
New idea studying urban parks was opened up by "Reflection on Urban Park:Public Space and Multi-culture". By introducing anthropology into planning and design methodology of urban public space, it provided a...New idea studying urban parks was opened up by "Reflection on Urban Park:Public Space and Multi-culture". By introducing anthropology into planning and design methodology of urban public space, it provided a new research method for the planning of urban park in our country. Through introduction and assessment of the book, existing problems and suggestions of the construction of our urban parks were proposed. In the perspective of urban parks' users, by the method of ethnology and anthropology, cultural diversity of urban public space would be investigated, paying attention to the usage behavior and different cultural characteristics, thinking about how to respect ecology and environmental construction of parks and coordinate the relation between culture and ecology while cultural diversity was respected. What should be considered in the construction of urban parks was not only culture but also ecological environment protection when culture was respected and citizens' interests during environment construction. These were also the fundamental problems needed to be considered and solved in parks' planning, construction and operation.展开更多
基金supported by the Fund for Health Promotion from Osaka Prefecture。
文摘Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered questionnaire was conducted in 2020 and included 33,902 community residents aged 40-64 years from 5 cities in Osaka Prefecture,Japan.Of these,12,446(36.7%)agreed to participate in the survey.After exclusion of those with regular visits to medical institutions and those with missing data,the analysis included 3742 participants.Health literacy was measured by the communicative and critical health literacy(CCHL)scale,and participants were classified into 3 groups(low,medium,and high health literacy groups)by the tertiles of the CCHL scale score.Physical inactivity was defined as not completing at least 150 min of moderate-intensity physical activity throughout the week.Results:After adjustment for age,gender,education level,occupation,economic status,living alone,and stages of health behavior change,the multivariable-adjusted odds ratios(ORs)for physical inactivity were 1.36(95% confidence interval[CI]:1.16-1.59,P<0.001)in the medium health literacy group and 1.70(95%CI:1.36-2.11,P<0.001)in the low health literacy group compared with the high health literacy group.Conclusions:This large-scale study provides compelling evidence that those with inadequate health literacy are at higher risk for physical inactivity among middle-aged adults.
基金supported by the Postgraduate Supervision Fund within the School of Nursing at Fujian Medical University(No.110013)。
文摘Objectives:This study aimed to generate a theoretical framework based on empirical data to explain the behavioral patterns closely related to young and middle-aged patients with lymphoma throughout the disease.Methods:This study followed the classic grounded theory methodology,involving procedures such as theoretical sampling,substantive coding,theoretical coding,constant comparison,and memo writing and sorting.Multiple data types were used based on the principle of“all is data,”including 34 participants providing interview data along with observation notes and 40 relevant secondary texts from the“Lymphoma House”network platform and the“Lymphoma House 086”public account.Two autobiographical books written by lymphoma patients were also selected as data resources.Data collection and analysis were conducted in an iterative process until theoretical saturation was reached.The COREQ checklist was followed to report this study.Results:The main concern of middle-aged and young patients with lymphoma was identifiedas restoring normality,while managing uncertainty was the main behavioral pattern for restoring normality.Uncertainty consists of two interrelated types:inherent uncertainty of illness and perceived uncertainty of patients.Four strategies are used to manage uncertainty:reconstructing certainty,adaptive coping,defensive buffering,and compensatory changing.Managing uncertainty is influenced by disease characteristics and perceptions,social resources,and cultural concepts.The consequence of managing uncertainty is reaching a new normality.Conclusions:Pervasive uncertainty significantly affects the daily lives of young and middle-aged patients with lymphoma.Consequently,strategies for managing disease-related uncertainty to sustain normality are commonly observed in this population.This theoretical framework for addressing uncertainty can serve as a foundation for understanding and developing tailored interventions to manage uncertainty.Future research should focus on managing uncertainty to help patients restore normality.
文摘Objective: To explore the association between cardiometabolic multimorbidity and frailty among middle- aged and older adults in China. Methods: Data were derived from the 2013 wave of the China Longitudinal Healthy Longevity Survey, including a total of 6,179 individuals aged 45 years and above with complete follow-up records. Basic demographic information was collected, and frailty status was assessed using a physical frailty scale. Generalized linear models were employed to analyze the association between the number and combinations of cardiometabolic conditions- such as hypertension, diabetes, heart disease, and stroke-and frailty. Results: The prevalence of cardiometabolic multimorbidity among middle-aged and older adults was 14.23%. After adjusting for sociodemographic covariates, individuals with cardiometabolic multimorbidity had a significantly increased risk of frailty compared to those without such conditions (OR = 1.78, 95% CI: 1.45-2.19), along with higher frailty scale scores (β = 0.26, 95% CI: 0.19-0.34). Compared to individuals without cardiometabolic diseases, those with both hypertension and stroke (OR = 1.18, 95% CI: 1.06-1.31) and those with hypertension, heart disease, and stroke (OR = 1.46, 95% CI: 1.24-1.73) exhibited notably higher frailty risks. Conclusion: There is a significant association between cardiometabolic multimorbidity and frailty in middle- aged and older adults in China, particularly for comorbidity patterns involving hypertension. These findings provide evidence for developing targeted health interventions for aging populations.
基金Scientific Research Fund Project of Yunnan Provincial Education Department(Project No.:2024J0832)。
文摘Objective:To explore the current status of social alienation and its influencing factors among young and middle-aged stroke patients in Dali.Methods:A convenience sampling method was used to survey 385 young and middle-aged stroke patients in a tertiary hospital in Dali from December 2024 to July 2025.Questionnaires including general demographic information,the General Alienation Scale,the Athens insomnia scale,and others were administered.Results:The social alienation score of young and middle-aged stroke patients in Dali was(35.67±3.46).Univariate analysis showed that general demographic factors[education level,monthly household income,whether it was the first onset,presence of sequelae,disease duration,activities of daily living(ADL,Barthel Index)],social support,stigma,self-perceived burden,anxiety and depression,and sleep status were influencing factors of social alienation(P<0.05).Regression analysis indicated that social support,anxiety and depression,disease duration,stigma,presence of sequelae,and self-care ability were significant influencing factors of social alienation(P<0.01),explaining 65.3%of the total variance.Conclusion:The level of social alienation among young and middle-aged stroke patients in Dali is relatively low.Special attention should be paid to patients with a disease duration of<7 days,those with sequelae,moderate-to-severe dependence in self-care,low social support,high stigma,and high levels of anxiety and depression,to effectively reduce their social alienation.
基金Handan City Science and Technology Research and Development Program Project Application(Project No.:23422083096ZC)。
文摘Objective:To analyze the impact and mechanism of the SOC model intervention on improving health literacy and reducing disease uncertainty among young and middle-aged patients with coronary heart disease.Methods:A hundred young and middle-aged patients with coronary heart disease from our hospital between March and October 2024 were randomly divided into an observation group and a control group,with 50 patients in each group.Both groups received routine nursing intervention,while the observation group also received intervention based on the Stages of Change(SOC)model.The intervention period was 30 days.Changes in self-efficacy,health literacy,and disease uncertainty were compared between the two groups before and after the intervention.Results:After the intervention,the self-efficacy scores of both groups increased significantly,and the observation group had higher self-efficacy scores than the control group,with a significant difference(P<0.05).Additionally,the observation group showed significantly higher levels of health literacy than the control group(P<0.001).Furthermore,the observation group had significantly lower scores for disease uncertainty compared to the control group(P<0.001).Conclusion:The SOC model,in addition to routine nursing,significantly affects self-efficacy,disease uncertainty,and health literacy among young and middle-aged patients with coronary heart disease.It helps to enhance patients’knowledge of coronary heart disease,improve health literacy levels,and reduce disease uncertainty,making it worthy of clinical promotion and application.
文摘Objective:This study aims to assess the influence of Metabolic Syndrome(MS)on the risk and severity of Coronary Artery Disease(CAD)in middle-aged and elderly women(40-75 years old),to inform evidence-based prevention and management strategies for this population.Methods:A retrospective study enrolled 200 middle-aged and elderly female patients(aged 40-75 years)who underwent coronary angiography(CAG)at our hospital between January 2024 and March 2025.Participants were divided into an MS group(n=88)and a non-MS group(n=112)based on meeting MS diagnostic criteria.General clinical data including age,body mass index[BMI],blood pressure,blood glucose,blood lipids,and more were collected for both groups.The severity of coronary artery lesions was quantified using the Gensini score.Differences in the positive rate of coronary artery lesions,the number of diseased vessel segments,and Gensini scores between the two groups were compared.Results:Patients in the MS group exhibited a significantly higher prevalence of coronary artery lesions(79.55%vs.48.21%,p<0.001),a greater proportion of multivessel disease(46.59%vs.18.75%,p<0.05),and higher Gensini scores(25.72±14.28 vs.16.35±9.86,p<0.05)compared to the non-MS group.Conclusion:Metabolic syndrome is a significant risk factor for coronary artery disease in middle-aged and elderly women,substantially increasing both the incidence and severity of coronary lesions.Clinical efforts should focus on enhancing screening and comprehensive intervention for metabolic syndrome in this population to reduce the risk of coronary heart disease.
基金Supported by Jiangsu Provincial Cadre Healthcare Scientific Research Grant Project,No.BJ23019Jiangsu Provincial Association of Maternal and Child Healthcare Scientific Research Grant Project,No.FYX202350+2 种基金Special Fund for the Project of Enhancing Academic Capability of Integrative Nursing,No.ZXYJHHL-K-2023-M20Jiangsu Provincial Graduate Student Practice and Innovation Program Project,No.SJCX24_0833the Training Project for Backbone Talents in Traditional Chinese Medicine Nursing in Nanjing Region,No.Ningwei Zhongyi[2023]No.8.
文摘BACKGROUND Breast cancer(BC)is the second most common malignancy globally.Young and middle-aged patients face more pressures from diagnosis,treatment,costs,and psychological issues like self-image concerns,social barriers,and professional challenges.Compared to other age groups,they have higher recurrence rates,lower survival rates,and increased risk of depression.Research is lacking on factors influencing depressive symptoms and predictive models for this age group.AIM To analyze factors influencing depressive symptoms in young/middle-aged BC patients and construct a depression risk predictive model.METHODS A total of 360 patients undergoing BC treatment at two tertiary hospitals in Jiangsu Province,China from November 2023 to April 2024 were included in the study.Participants were surveyed using a general information questionnaire,the patient health questionnaire depression scale,the visual analog scale for pain,the revised family support scale,and the long form of the international physical activity questionnaire.Univariate and multivariate analyses were conducted to identify the factors affecting depression in middle-aged and young BC patients,and a predictive model for depression risk was developed based on these findings.RESULTS Among the 360 middle-aged and young BC patients,the incidence rate of depressive symptoms was 38.61%(139/360).Multivariate analysis revealed that tumor grade,patient’s monthly income,pain score,family support score,and physical activity score were factors influencing depression in this patient group(P<0.05).The risk prediction model constructed based on these factors yielded an area under the receiver operating characteristic curve of 0.852,with a maximum Youden index of 0.973,sensitivity of 86.80%,specificity of 89.50%,and a diagnostic odds ratio of 0.552.The Hosmer-Lemeshow test for goodness of fit indicated an adequate model fit(χ^(2)=0.360,P=0.981).CONCLUSION The constructed predictive model demonstrates good predictive performance and can serve as a reference for medical professionals to early identify high-risk patients and implement corresponding preventive measures to decrease the incidence of depressive symptoms in this population.
文摘A recommender system is a tool designed to suggest relevant items to users based on their preferences and behaviors.Collaborative filtering,a popular technique within recommender systems,predicts user interests by analyzing patterns in interactions and similarities between users,leveraging past behavior data to make personalized recommendations.Despite its popularity,collaborative filtering faces notable challenges,and one of them is the issue of grey-sheep users who have unusual tastes in the system.Surprisingly,existing research has not extensively explored outlier detection techniques to address the grey-sheep problem.To fill this research gap,this study conducts a comprehensive comparison of 12 outlier detectionmethods(such as LOF,ABOD,HBOS,etc.)and introduces innovative user representations aimed at improving the identification of outliers within recommender systems.More specifically,we proposed and examined three types of user representations:1)the distribution statistics of user-user similarities,where similarities were calculated based on users’rating vectors;2)the distribution statistics of user-user similarities,but with similarities derived from users represented by latent factors;and 3)latent-factor vector representations.Our experiments on the Movie Lens and Yahoo!Movie datasets demonstrate that user representations based on latent-factor vectors consistently facilitate the identification of more grey-sheep users when applying outlier detection methods.
文摘AIM:To evaluate the prevalence of early post-traumatic stress disorder(PTSD)among young and middle-aged patients who have suffered open globe injuries,and to identify the psychosocial factors influencing PTSD in these patients.METHODS:A total of 280 patients who underwent ocular trauma surgery between January 2023 and January 2024 were selected through convenience sampling.Data were collected using a custom-designed demographic questionnaire,the Connor-Davidson Resilience Scale(CDRISC),the Cognitive Emotion Regulation Questionnaire(C-ERRI),and the PTSD Checklist-Civilian Version(PCL-C).Univariate analysis and stepwise multiple linear regression analysis were performed to determine the factors affecting PTSD in these patients.RESULTS:The average PTSD score for the patients was 33.22±13.48.The scores for individual PTSD dimensions,ranked from highest to lowest,were recurrent traumatic experiences,heightened arousal,avoidance reactions,and social dysfunction.Positive PTSD symptoms were observed in 85 patients(30.36%).Univariate analysis indicated that gender,postoperative vision,marital status,psychological resilience,and rumination were significant factors affecting PTSD symptoms(χ^(2)/t=6.53,17.88,8.83,2.17,and 14.1,respectively;all P<0.05).Pearson correlation analysis showed a positive correlation between rumination and PTSD symptoms(r=0.73,P<0.01)and a negative correlation between psychological resilience and PTSD symptoms(r=-0.14,P<0.05).Stepwise multiple linear regression analysis identified postoperative vision(notably eye removal),rumination levels,and psychological resilience(optimism)as major factors influencing PTSD in these patients(R^(2)=0.57,P<0.001).CONCLUSION:Young and middle-aged patients with open globe injuries have a high incidence of PTSD.Significant risk factors for early PTSD include primary enucleation,high levels of rumination,and low psychological resilience(optimism).Conversely,patients with good postoperative vision recovery,low rumination levels,and high levels of optimism are less likely to develop PTSD.Healthcare providers should pay special attention to patients who undergo primary enucleation,strive to reduce their rumination levels,and enhance their psychological resilience,thereby promoting a positive and optimistic attitude towards their condition and reducing the incidence of PTSD.
基金Supported by Philosophy and Social Sciences Research Project of Hubei Provincial Department of Education(22Q149,19Y090).
文摘[Objectives]To systematically evaluate the impact of interventions based on the Common Sense Model of Self-Regulation(CSM)on the psychosocial adaptation of young and middle-aged patients with acute coronary syndrome(ACS),providing evidence-based support for clinical practice.[Methods]A systematic review was conducted using a literature search method,systematically searching through Chinese and English databases such as PubMed,Embase,Cochrane Library,CINAHL,China National Knowledge Infrastructure(CNKI),Wanfang Database,and VIP Database,from the database inception to December 31,2024.The search focused on studies related to the impact of the CSM on the psychosocial adaptation of young and middle-aged ACS patients.Two researchers independently performed literature screening,quality assessment,and data extraction.[Results]A total of 18 studies were included,comprising 12 randomized controlled trials,4 quasi-experimental studies,and 2 cohort studies,involving 2847 young and middle-aged ACS patients.Interventions based on the CSM significantly improved patients disease perception,emotional regulation,self-efficacy,and quality of life.Patients in the intervention group showed significant reductions in anxiety and depression levels,cardiac-related fear,and improvements in disease perception accuracy,treatment adherence,and social function recovery.[Conclusions]Interventions based on the CSM can effectively promote the psychosocial adaptation of young and middle-aged ACS patients,improve their disease perception and emotional state,and enhance their quality of life.It is recommended that this model be widely applied in the clinical care of young and middle-aged ACS patients.
基金2024 Annual Medical Science Research Project of Hebei Province,Research on the Rehabilitation Effect of Joint Exercise Intervention Based on Hospital-Community-Family Model for Elderly Patients with Chronic Diseases(Project No.:20240083)。
文摘Objective:To explore the application effect of the hospital-community-family model-based combined rehabilitation exercise intervention on middle-aged and elderly patients with chronic kidney disease.Methods:Using the convenience sampling method,80 patients in the stable stage of CKD who were treated in the nephrology department of a tertiary hospital from May 2022 to June 2023 were selected as the research subjects.They were divided into the experimental group(40 cases)and the control group(40 cases)by random number table method.The control group received conventional exercise intervention plus telephone follow-up,while the experimental group received combined hospital-community-family modelbased exercise intervention in addition to the control group,using remote medical guidance and monitoring of the application effect of exercise rehabilitation on middle-aged and elderly patients with chronic kidney disease.The glomerular filtration rate,6-minute walking distance,fatigue and social support scores of the two groups of patients were measured before the intervention,4 weeks after the intervention,and 12 weeks after the intervention.Results:Before the intervention,there were no statistically significant differences in glomerular filtration rate,6-minute walking distance,fatigue and social support scores between the two groups(p>0.05).After 12 weeks of intervention,the glomerular filtration rate,6-minute walking distance and social support scores of the experimental group were higher than those of the control group;the differences were statistically significant(p<0.05).The behavioral,emotional,sensory and cognitive scores of the Piper-Fatigue Revised Scale of the experimental group were lower than those of the control group,and the differences were statistically significant(p<0.05).Conclusion:Based on the hospital-community-family model combined rehabilitation exercise,using remote medical guidance for the continuous care of middle-aged and elderly patients in the stable stage of chronic kidney disease can effectively improve the exercise endurance and social support level of patients,improve the fatigue condition,and the implementation effect is positively correlated with the intervention time.
基金Supported by Humanities and Social Sciences Project of Hubei Provincial Department of Education(22Q149&19Y090).
文摘This article reviews the characteristics of psychological disorders in young and middle-aged acute coronary syndrome(ACS)patients,the mechanisms and effects of various psychological intervention strategies,factors influencing return to work,and current research problems and development trends,to provide scientific evidence for psychological rehabilitation and social function recovery of young and middle-aged ACS patients.
基金supported by the National Key Project of the National Natural Science Foundation of China under Grant No.U23A20305.
文摘Identifying influential users in social networks is of great significance in areas such as public opinion monitoring and commercial promotion.Existing identification methods based on Graph Neural Networks(GNNs)often lead to yield inaccurate features of influential users due to neighborhood aggregation,and require a large substantial amount of labeled data for training,making them difficult and challenging to apply in practice.To address this issue,we propose a semi-supervised contrastive learning method for identifying influential users.First,the proposed method constructs positive and negative samples for contrastive learning based on multiple node centrality metrics related to influence;then,contrastive learning is employed to guide the encoder to generate various influence-related features for users;finally,with only a small amount of labeled data,an attention-based user classifier is trained to accurately identify influential users.Experiments conducted on three public social network datasets demonstrate that the proposed method,using only 20%of the labeled data as the training set,achieves F1 values that are 5.9%,5.8%,and 8.7%higher than those unsupervised EVC method,and it matches the performance of GNN-based methods such as DeepInf,InfGCN and OlapGN,which require 80%of labeled data as the training set.
基金grateful for the financial support from the National Key R&D Program of China(2023YFB2407300).
文摘With increasing awareness of environmental protection and rising carbon emission costs,participation in electricity and carbon markets for energy-intensive industrial users will become an effective way to reduce operating costs and carbon emissions.In this regard,a novel Stackelberg game framework is developed in this study for coordinated participation in coupled electricity‒carbon markets.Specifically,generalized carbon emission models and electricity consumption models for different energy-intensive industrial users are established,and a Stackelberg game-based interactive operation strategy is proposed for load aggregators(LAs)and energy-intensive industrial users in joint electricity‒carbon markets,where the LA works as a leader who chooses proper interactive prices to maximize the comprehensive benefit,whereas energy-intensive industrial users serve as followers who minimize the total energy costs in response to the interactive prices set by the LA.Then,the existence and uniqueness of the Stackelberg equilibrium(SE)are analyzed,and a decentralized solution algorithm is suggested to reach the SE.Finally,the simulation results demonstrate that the proposed interactive operation strategy can not only increase the profit of the LA but also reduce the cost of energy-intensive industrial users,which achieves a win-win result.
基金supported by the Key Project of Science and Technology Research by Chongqing Education Commission under Grant KJZD-K202400610the Chongqing Natural Science Foundation General Project Grant CSTB2025NSCQ-GPX1263.
文摘The ubiquitous adoption of mobile devices as essential platforms for sensitive data transmission has heightened the demand for secure client-server communication.Although various authentication and key agreement protocols have been developed,current approaches are constrained by homogeneous cryptosystem frameworks,namely public key infrastructure(PKI),identity-based cryptography(IBC),or certificateless cryptography(CLC),each presenting limitations in client-server architectures.Specifically,PKI incurs certificate management overhead,IBC introduces key escrow risks,and CLC encounters cross-system interoperability challenges.To overcome these shortcomings,this study introduces a heterogeneous signcryption-based authentication and key agreement protocol that synergistically integrates IBC for client operations(eliminating PKI’s certificate dependency)with CLC for server implementation(mitigating IBC’s key escrow issue while preserving efficiency).Rigorous security analysis under the mBR(modified Bellare-Rogaway)model confirms the protocol’s resistance to adaptive chosen-ciphertext attacks.Quantitative comparisons demonstrate that the proposed protocol achieves 10.08%–71.34%lower communication overhead than existing schemes across multiple security levels(80-,112-,and 128-bit)compared to existing protocols.
基金supported by the research fund of Hanyang University(HY-202500000001616).
文摘Accurate purchase prediction in e-commerce critically depends on the quality of behavioral features.This paper proposes a layered and interpretable feature engineering framework that organizes user signals into three layers:Basic,Conversion&Stability(efficiency and volatility across actions),and Advanced Interactions&Activity(crossbehavior synergies and intensity).Using real Taobao(Alibaba’s primary e-commerce platform)logs(57,976 records for 10,203 users;25 November–03 December 2017),we conducted a hierarchical,layer-wise evaluation that holds data splits and hyperparameters fixed while varying only the feature set to quantify each layer’s marginal contribution.Across logistic regression(LR),decision tree,random forest,XGBoost,and CatBoost models with stratified 5-fold cross-validation,the performance improvedmonotonically fromBasic to Conversion&Stability to Advanced features.With LR,F1 increased from 0.613(Basic)to 0.962(Advanced);boosted models achieved high discrimination(0.995 AUC Score)and an F1 score up to 0.983.Calibration and precision–recall analyses indicated strong ranking quality and acknowledged potential dataset and period biases given the short(9-day)window.By making feature contributions measurable and reproducible,the framework complements model-centric advances and offers a transparent blueprint for production-grade behavioralmodeling.The code and processed artifacts are publicly available,and future work will extend the validation to longer,seasonal datasets and hybrid approaches that combine automated feature learning with domain-driven design.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00559546)supported by the IITP(Institute of Information&Coummunications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259004).
文摘The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.
基金Supported by Basic Scientific Research Business Expense Project for Public-interest Scientific Institute of Sichuan Province(ZL2014-13)~~
文摘In order to promote the growth of mid-aged Pinus elliottii plantation, the effects of different fertilizing amounts of formula fertilizer were studied on the growth, the soil and cost-benefit of 9 year-old Pinus el/iottii plantations in the north- ern part of Hunan, China. Three years after fertilization, the results showed that the increments of DBH, height, individual volume and stock volume of stand, and the fertilizer benefit of the different fertilization treatments were higher than the control to varying degrees, and among them, 700 g/tree was the best for promoting the growth of Pinus elliottii. Two years fertilization, the soil nutrients were improved compared with before, pH values of different layers decreased, organic matter and rapid available K contents increased, and rapid available N content increased dra- matically with the upper layer having an increase higher than the lower one; rapid available P decreased at different levels with the upper layer having a decrease lower than the lower one; and proper application of fertilizer could promote the growth of Pisolithus tinctofius, and 7 months after fertilization, the number of Pisolithus fruiting body generally increased with the increase of the fertilizer within 100-800 g/tree. The yield and benefit per unit area could be increased by fertiliza- tion for 1 time in middle-aged Pinus elliottii plantations, and the best fertilizing amount was N-P-K fertilizer 700 g/tree.
文摘Objective： To understand the prevalence and behavioral risk factors of HIV infection among injection drug users in the Pearl River Delta Region （PRDR） of Guangdong province, and to provide evidence for establishing effective intervention strategies. Methods： Face to face interviews were conducted and serum samples from injection drug users from detoxification centers and the community were collected for HIV screening. Results： 655 drug users were recruited and interviewed. The HIV seropositive rate was 29.0%. 99.5 % of subjects were injection drug users （IDUs）, of whom,75.4% reported sharing injection equipment. Conclusion： HIV prevalence among injection drug users is high in the PRDR of Guangdong. Injection drug use is the principal behavioral risk factor for HIV transmission. Pragmatic harm reduction programs should be implemented to prevent the spread of HIV infection.
文摘New idea studying urban parks was opened up by "Reflection on Urban Park:Public Space and Multi-culture". By introducing anthropology into planning and design methodology of urban public space, it provided a new research method for the planning of urban park in our country. Through introduction and assessment of the book, existing problems and suggestions of the construction of our urban parks were proposed. In the perspective of urban parks' users, by the method of ethnology and anthropology, cultural diversity of urban public space would be investigated, paying attention to the usage behavior and different cultural characteristics, thinking about how to respect ecology and environmental construction of parks and coordinate the relation between culture and ecology while cultural diversity was respected. What should be considered in the construction of urban parks was not only culture but also ecological environment protection when culture was respected and citizens' interests during environment construction. These were also the fundamental problems needed to be considered and solved in parks' planning, construction and operation.
