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Prevalence of exercise-induced bronchoconstriction in elite Chinese summer sport athletes 认领 引用
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作者 Zhi Cao John Dickinson +4 位作者 Mark A.Faghy Sitong Chen Michael Duncan Binghong Gao Meng Liu 《Journal of Sport and Health Science》 SCIE CAS CSCD 2026年第4期329-344,共16页
Background Exercise-induced bronchoconstriction(EIB)is a prevalent respiratory condition among summer sport elite athletes,yet epidemiological data from Asian populations remain scarce.The objective of this study was ... Background Exercise-induced bronchoconstriction(EIB)is a prevalent respiratory condition among summer sport elite athletes,yet epidemiological data from Asian populations remain scarce.The objective of this study was to investigate the prevalence,sport-specific patterns,and physiological characteristics of EIB in Chinese summer sport elite athletes.Methods A cross-sectional study of 500 summer sport elite athletes across 17 sports was conducted.Participants underwent standardized exercise challenge testing,spirometry,and serum biomarker assessments(eosinophils,interleukin-5(IL-5),interleukin-8(IL-8),Clara Cell protein 16(CC16),immunoglobulin E(IgE),and uric acid(UA)).Results EIB prevalence was 27.6%(138/500),with significant variation across sports:highest in swimming(51.52%)and lowest in wrestling(6.45%).Female athletes were more prevalent than males(31.1%vs.23.7%,p=0.030).Outdoor sports demonstrated higher rates than indoor disciplines(37.4%vs.19.4%,p=0.002).EIB-positive athletes showed pronounced post-exercise declines in forced expiratory volume in 1 s(FEV1)at 5 min(p<0.001)and elevated inflammatory biomarkers:eosinophils(p<0.001),neutrophils(p=0.019),IL-5(p<0.001),IL-8(p<0.001),CC16(p<0.001),IgE(p<0.001),and UA(p<0.001)vs.EIB-negative counterparts.Conclusion This is the first large-scale study of Chinese athletes to reveal EIB prevalence exceeding global averages.Distinct risk profiles emerge,associated with gender,athletic level,sport type,and environmental factors.The findings outline the need for targeted screening programs and biomarker-guided management to mitigate respiratory health risks in athletic populations. 展开更多
关键词 Exercise-induced bronchoconstriction FEV1 Elite athlete China Asian
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Short bouts of accumulated exercise:Review and consensus statement on definition,efficacy,feasibility,practical applications,and future directions 认领 引用 被引量：3
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作者 Mingyue Yin Yongming Li +43 位作者 Abdul Rashid Aziz Aidan Buffey David J.Bishop Dapeng Bao George P.Nassis Hashim Islam Hongying Wang Jackson J.Fyfe Jianfang Xu Jianxiu Liu Jiexiu Zhao Jingwei Cao Jonathan P.Little Junqiang Qiu Keith M.Diaz Lijuan Wang Liye Zou Max J.Western Meynard L.Toledo Min Hu Minghui Quan Neville Owen Niels B.J.Vollaard Olivier Girard Qingde Shi Richard S.Metcalfe Rodrigo Ramirez-Campillo Ru Wang Waris Wongpipit Weimo Zhu Wenfei Zhu Weigang Xu Xiaochun Wang Xiaoping Chen Xiong Wang Xu Wen Yang Liu Ying Gao Yue Fu Zhaowei Kong Zhenbo Cao Zhengzhen Wang Peijie Chen Lijuan Mao 《Journal of Sport and Health Science》 SCIE CAS CSCD 2026年第2期1-30,共30页
Background:Insufficient physical activity and prolonged sedentary behavior have emerged as major global public health challenges.Short bouts(≤10 min)of accumulated exercise(SBAE)throughout the day may be a promising ... Background:Insufficient physical activity and prolonged sedentary behavior have emerged as major global public health challenges.Short bouts(≤10 min)of accumulated exercise(SBAE)throughout the day may be a promising strategy to mitigate the adverse effects of prolonged sitting and promote physical activity,ultimately promoting overall health.However,previous ambiguity in defining this concept has resulted in a fragmented and inconsistent evidence base,impeding practical applications,the development of guidelines,and policymaking.The purpose of this study is to establish an operational definition of SBAE by synthesizing systematic reviews and research trials alongside an expert consensus.Additionally,it seeks to evaluate acute and long-term efficacy and feasibility,providing evidence-based recommendations for practice and future research directions.Methods:A literature search was performed across PubMed and Web of Science,followed by systematic screening and summarization of eligible studies based on predefined inclusion criteria.Inclusion criteria encompassed various modesypes of SBAE(bouts lasting≤10 min,performed multiple times daily with≥30 min intervals);both aerobic and resistance exercise were considered.Relevant systematic reviews and research trials were included.Methodological quality,risk of bias,and evidence certainty were assessed.Expert consensus was obtained through a survey to evaluate recommendations and agreement levels on findings.Results:After analyzing 27 systematic reviews,135 research studies,and an expert consensus involving 48 researchers from 11 countries,SBAE is defined as any exercise mode of activity,regardless of intensity,that is accumulated in either continuous or intermittent bouts lasting≤10 min per session(including multiple intermittent sets)that are performed multiple times(≥2 sessions/day)per day,with intervals of≥30 min between bouts or otherwise sufficient time for recovery.When used to interrupt prolonged periods of sedentary time,SBAE mitigates the acute adverse effects of sedentary behavior on more than 10 clinical biomarkers of endocrine,cardiovascular,and brain health/function among adults of diverse ages and conditions.Moreover,SBAE was superior for improving acute glycemic control compared to a single continuous exercise session.As a long-term intervention(average of 11 weeks),SBAE can improve over 20 health outcomes,including peak oxygen uptake,resting blood pressure,and metabolic health.Additionally,SBAE might be more effective than continuous exercise for improving longer-term glycemic control and body composition.Long-term completion rates for SBAE interventions are generally high(95%),with low dropout rates(12%)and high adherence rates even without supervision(85%),and its safety has been preliminarily validated.Conclusion:An operational definition of SBAE is provided along with its classification and acute and long-term efficacy.Practical exercise prescription recommendations and evidence-based strategies for various populations and contexts are provided.Future research should focus on generating high-quality evidence for SBAE in 5 key areas:quantification and monitoring,population-specific responses,optimization of exercise prescriptions,intervention efficacy,and practical implementation.Additionally,addressing policy,environmental,and promotional barriers is crucial for transitioning from expert consensus to public consensus,and for facilitating the application of this strategy in real-world environments. 展开更多
关键词 Short bouts of accumulated exercise Exercise snacks Consensus statement Sedentary breaks
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Investigating the Cultural Moderating Role in the Association between Exercise and Anxiety Symptoms 认领 引用
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作者 Albert Jiansong Zheng Junxian Shen 《International Journal of Mental Health Promotion》 2026年第3期131-144,共14页
Background:The anxiolytic benefits of exercise appear to vary across societies,yet limited research has examined how cultural norms shape this association.To address this gap,the present study investigates the moderat... Background:The anxiolytic benefits of exercise appear to vary across societies,yet limited research has examined how cultural norms shape this association.To address this gap,the present study investigates the moderating role of societal individualism–collectivism in the relation between exercise and anxiety symptoms.Methods:Using a sample of 123,298 individuals across 23 societies and two waves from the Global Flourishing Study,weighted multilevel models were employed to examine the lagged association between exercise at Wave 1 and anxiety symptoms at Wave 2,with and without adjustment for exercise at Wave 2.We further examined the cross-level moderating role of society-level individualism–collectivism in the individual-level association between Wave 1 exercise and Wave 2 anxiety symptoms.Results:The results indicate that exercise at Wave 1 is significantly associated with lower anxiety symptoms at Wave 2 in the basic lagged model.However,the association between Wave 1 exercise and Wave 2 anxiety symptoms attenuates after accounting for exercise at Wave 2,which shows a stronger association with anxiety symptoms at Wave 2 and a larger magnitude of association.Cross-level analyses further demonstrate that the lagged association between Wave 1 exercise and Wave 2 anxiety is more pronounced in collectivist societies and negligible in individualistic societies.Conclusions:These findings contribute theoretically to public mental health and cross-cultural research by elucidating the cultural moderation of the correlation between exercise and anxiety symptoms.From a practical perspective,culturally tailored approaches to encourage exercise for anxiety reduction are essential.In collectivist societies,group-based and community-oriented exercise may better support the long-term emotional benefits of sustained activity,whereas in individualistic societies,interventions may need to emphasize intrinsic motivation to enhance the mental health benefits of exercise. 展开更多
关键词 Anxiety symptoms exercise individualism versus collectivism Global Flourishing Study
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Advances and Challenges in Machine Learning-based Image Analysis for Monitoring and Predicting Organic Crystal Formation 认领 引用
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作者 Tianqi Ma Yating Qu +6 位作者 Chenxian Guan Hang Yin Wenmian Yang Shing Fung Chow Henry Hoi Yee Tong Defang Ouyang Zhuyifan Ye 《Aggregate》 EI CAS CSCD 2026年第6期247-273,共27页
Manual crystallization experiments have always been challenging,requiring extensive process development expertise and often resulting in unpredictable results.The crystallization process plays a critical role in the d... Manual crystallization experiments have always been challenging,requiring extensive process development expertise and often resulting in unpredictable results.The crystallization process plays a critical role in the development of high-quality organic materials,which are essential for various industries such as pharmaceuticals,materials science,and electronics.Therefore,crystallization experiments are in urgent need of innovative methods to ensure consistency,efficiency,and scalability.Recent studies have shown that machine learning can effectively assist crystal detection and segmentation,thus providing a new way to optimize organic crystallization processes,improving both the speed and precision of crystal formation.However,a comprehensive review of machine learning-based approaches for organic crystallization process monitoring remains elusive.It is therefore necessary to review the machine learning technologies involved,their current applications,technical challenges,and development blueprints.In this work,we focus on the application scenarios,basic principles,and common tools of machine learning methods based on image detection and segmentation in effectively monitoring the crystallization process of organic crystals,especially the research on artificial intelligence technology in the detection of crystal size and morphology,monitoring,and optimization of crystallization processes.Through this work,we aim to provide the oretical references and practical guidance for researchers in related fields. 展开更多
关键词 computer vision crystallization process monitor machine learning organic crystals
Nursing undergraduates’experiences of a simulation-centred educational program in hospice care in Macao:A qualitative research 认领 引用 被引量：2
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作者 Yan Wang Haobin Yuan 《International Journal of Nursing Sciences》 CSCD 2022年第4期504-511,I0003,共8页
Objectives:The study aimed to explore the experiences of nursing undergraduates participating in a simulation-centred educational program in hospice care in Macao,China.Methods:This descriptive qualitative study was b... Objectives:The study aimed to explore the experiences of nursing undergraduates participating in a simulation-centred educational program in hospice care in Macao,China.Methods:This descriptive qualitative study was based on the data collected through semi-structured individual interviews.Seventeen nursing undergraduates in Macao,China who attended the simulation-centred program in hospice care participated in this qualitative from November to December 2020.This program included three parts:introduction to hospice care(2 h),management of terminal symptoms(10 h),and hospice situation simulations(6 h).The interview data were analyzed using qualitative content analysis.Results:This study revealed two themes and six sub-themes.Theme 1 was developing competencies in caring for dying patients and their families,which included four subcategories of sensitivity to patients’needs,knowledge of hospice care,skills of symptom control and comfort supply,and communication skills.Theme 2 was improving the ability to self-care and support colleagues,which included two subcategories of reflection on life and death and sharing and supporting among colleagues.Conclusion:This program improved the competency of nursing undergraduates in hospice care and participants’learning experience was good. 展开更多
关键词 Curriculum Hospice care Nursing students Qualitative research Teaching
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QingNangTCM:a parameter-efficient fine-tuning large language model for traditional Chinese medicine 认领 引用
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作者 Xuming Tong Liyan Liu +7 位作者 Yanhong Yuan Xiaozheng Ding Huiru Jia Xu Yang Sio Kei Im Mini Han Wang Zhang Xiong Yapeng Wang 《Digital Chinese Medicine》 CAS CSCD 2026年第1期1-12,共12页
Objective To develop QingNangTCM,a specialized large language model(LLM)tailored for expert-level traditional Chinese medicine(TCM)question-answering and clinical reasoning,addressing the scarcity of domain-specific c... Objective To develop QingNangTCM,a specialized large language model(LLM)tailored for expert-level traditional Chinese medicine(TCM)question-answering and clinical reasoning,addressing the scarcity of domain-specific corpora and specialized alignment.Methods We constructed QnTCM_Dataset,a corpus of 100000 entries,by integrating data from ShenNong_TCM_Dataset and SymMap v2.0,and synthesizing additional samples via retrieval-augmented generation(RAG)and persona-driven generation.The dataset comprehensively covers diagnostic inquiries,prescriptions,and herbal knowledge.Utilizing P-Tuning v2,we fine-tuned the GLM-4-9B-Chat backbone to develop QingNangTCM.A multidimensional evaluation framework,assessing accuracy,coverage,consistency,safety,professionalism,and fluency,was established using metrics such as bilingual evaluation understudy(BLEU),recall-oriented understudy for gisting evaluation(ROUGE),metric for evaluation of translation with explicit ordering(METEOR),and LLM-as-a-Judge with expert review.Qualitative analysis was conducted across four simulated clinical scenarios:symptom analysis,disease treatment,herb inquiry,and failure cases.Baseline models included GLM-4-9BChat,DeepSeek-V2,HuatuoGPT-II(7B),and GLM-4-9B-Chat(freeze-tuning).Results QingNangTCM achieved the highest scores in BLEU-1/2/3/4(0.425/0.298/0.137/0.064),ROUGE-1/2(0.368/0.157),and METEOR(0.218),demonstrating a balanced and superior normalized performance profile of 0.900 across the dimensions of accuracy,coverage,and consistency.Although its ROUGE-L score(0.299)was lower than that of HuatuoGPT-II(7B)(0.351),it significantly outperformed domain-specific models in expert-validated win rates for professionalism(86%)and safety(73%).Qualitative analysis confirmed that the model strictly adheres to the“symptom-syndrome-pathogenesis-treatment”reasoning chain,though occasional misclassifications and hallucinations persisted when dealing with rare medicinal materials and uncommon syndromes. 展开更多
关键词 Large language model(LLM) Traditional Chinese medicine(TCM) Fine-tuning P-Tuning v2 Clinical decision support
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Study on the Coupled and Coordinated Relationships Between Social Security and Economic and Social Development in Macao 认领 引用
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作者 Yinan Chen Xia Liu 《国际计算机前沿大会会议论文集》 2024年第1期29-40,共12页
To promote the economic and social development of Macao and to promote its economic development,the use of the coupled degree of coordination model Macao 2004–2022 data for quantitative analysis and an empirical pers... To promote the economic and social development of Macao and to promote its economic development,the use of the coupled degree of coordination model Macao 2004–2022 data for quantitative analysis and an empirical perspective reveals the relationship between social security and the economic and social development of regional and coupled coordination.The results of the study show that the social security and economic and social development levels of Macao are fluctuating trends,and the social security and economic and social development of the two systems are clearly coupled and interactive.It is recommended that the legal system be further strengthened and that the"1+4"strategy of moderate and diversified economic development be implemented to promote high-quality economic development. 展开更多
关键词 Macao Social Security Economic and Social Development Coupling and Coordination
Quantitative Analysis of the Factors Influencing Macao’s Tourism Industry:A Gray Correlation Approach 认领 引用
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作者 Dan Luo Xia Liu 《国际计算机前沿大会会议论文集》 2024年第1期3-17,共15页
To provide a policy reference for promoting the development of Macao’s tourism industry and for giving full play to the role of tourism in promoting Macao’s economic development,the gray correlation analysis method ... To provide a policy reference for promoting the development of Macao’s tourism industry and for giving full play to the role of tourism in promoting Macao’s economic development,the gray correlation analysis method was used to quantitatively analyze the data of Macao’s tourism industry from 2010 to 2022,and the correlation degree and variation law between Macao’s tourism development and various influencing factors were revealed from an empirical perspective.The gray correlation rankings of the influencing factors of the Macao tourism industry are as follows:travel agency income,hotel reception,commercial flights and helicopter sorties,gambling income,number of inbound passengers,number of inbound overnight passengers,cross-border car traffic,hotel occupancy rate,number of hotels above three stars,number of college students,catering industry income,hotel industry income,passenger flights,and exhibition industry income.In this regard,to promote the diversified and moderate development of Macao’s economy,it is necessary to promote the integrated development of“tourism+”,cultivate tourism professionals,cultivate high-quality tourism intermediary enterprises,and promote the healthy development of Macao’s tourism industry economy. 展开更多
关键词 Macao Gray correlation analysis Tourism industry
Integration of deep neural network modeling and LC-MS-based pseudo-targeted metabolomics to discriminate easily confused ginseng species 认领 引用 被引量：2
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作者 Meiting Jiang Yuyang Sha +8 位作者 Yadan Zou Xiaoyan Xu Mengxiang Ding Xu Lian Hongda Wang Qilong Wang Kefeng Li De-an Guo Wenzhi Yang 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第1期126-137,共12页
Metabolomics covers a wide range of applications in life sciences,biomedicine,and phytology.Data acquisition(to achieve high coverage and efficiency)and analysis(to pursue good classification)are two key segments invo... Metabolomics covers a wide range of applications in life sciences,biomedicine,and phytology.Data acquisition(to achieve high coverage and efficiency)and analysis(to pursue good classification)are two key segments involved in metabolomics workflows.Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups.However,insufficient feature extraction,inappropriate feature selection,overfitting,or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused.Using two ginseng varieties,namely Panax japonicus(PJ)and Panax japonicus var.major(PJvm),containing the similar ginsenosides,we integrated pseudo-targeted metabolomics and deep neural network(DNN)modeling to achieve accurate species differentiation.A pseudo-targeted metabolomics approach was optimized through data acquisition mode,ion pairs generation,comparison between multiple reaction monitoring(MRM)and scheduled MRM(sMRM),and chromatographic elution gradient.In total,1980 ion pairs were monitored within 23 min,allowing for the most comprehensive ginseng metabolome analysis.The established DNN model demonstrated excellent classification performance(in terms of accuracy,precision,recall,F1 score,area under the curve,and receiver operating characteristic(ROC))using the entire metabolome data and feature-selection dataset,exhibiting superior advantages over random forest(RF),support vector machine(SVM),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP).Moreover,DNNs were advantageous for automated feature learning,nonlinear modeling,adaptability,and generalization.This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples.This established approach holds promise for plant metabolomics and is not limited to ginseng. 展开更多
关键词 Liquid chromatography-mass spectrometry Pseudo-targeted metabolomics Deep neural network Species differentiation Ginseng
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Predictors of recovery from dysphagia after stroke: A systematic review and meta-analysis 认领 引用 被引量：1
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作者 Xiaoyan Jin Shaomei Shang +3 位作者 HoiYee Tong Ming Liu Dan Li Ying Xiao 《International Journal of Nursing Sciences》 CSCD 2025年第2期184-191,I0003,共8页
Objective This systematic review aimed to identify the predictors of recovery from dysphagia after stroke in the last ten years,thereby providing an evidence-based basis for nurses to identify high-risk patients and d... Objective This systematic review aimed to identify the predictors of recovery from dysphagia after stroke in the last ten years,thereby providing an evidence-based basis for nurses to identify high-risk patients and develop individualized rehabilitation plans to improve patient prognosis.Methods Databases including the China National Knowledge Infrastructure(CNKI),China Biology Medicine disc(CBMdisc),China Science and Technology Journal(VIP),WanFang,PubMed,Embase,CINAHL,Web of Science,the Cochrane Library,and Scopus were retrieved to search for literature on the predictors of recovery from dysphagia after stroke.The retrieval period was from January 2013 to December 2023.The quality of studies was assessed using the Newcastle-Ottawa Scale(NOS)and the Prediction model Risk of Bias Assessment Tool(PROBAST).Meta-analysis was performed using Revman5.3 and Stata15.1 software.The review protocol has been registered with PROSPERO(CRD42024605570).Results A total of 1,216 results were obtained,including 599 in English and 617 in Chinese.A total of 34 studies were included,involving 156,309 patients with post-stroke dysphagia,and the rate of dysphagia recovery increased from 13.53%at 1 week to 95%at 6 months after stroke.Meta-analysis results showed that older age[OR=1.06,95%CI(1.04,1.08),P<0.001],lower BMI[OR=1.28,95%CI(1.17,1.40),P<0.001],bilateral stroke[OR=3.10,95%CI(2.04,4.72),P<0.001],higher National Institutes of Health Stroke Scale(NIHSS)score[OR=1.19,95%CI(1.01,1.39),P=0.030],tracheal intubation[OR=5.08,95%CI(1.57,16.39),P=0.007]and aspiration[OR=4.70,95%CI(3.06,7.20),P<0.001]were unfavorable factors for the recovery of swallowing function in patients with post-stroke dysphagia.Conclusions The lack of standardized criteria for rehabilitation assessment of post-stroke dysphagia has resulted in reported recovery rates of swallowing function exhibiting wide variability.Nurses should take targeted preventive measures for patients aged≥70 years,low BMI,bilateral stroke,high NIHSS score,tracheal intubation,and aspiration to promote the recovery of swallowing function in patients with post-stroke dysphagia. 展开更多
关键词 Dysphagia Patients Prediction Rehabilitation Stroke Systematic review
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Fingerprint-enhanced hierarchical molecular graph neural networks for property prediction 认领 引用 被引量：1
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作者 Shuo Liu Mengyun Chen +1 位作者 Xiaojun Yao Huanxiang Liu 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第6期1311-1320,共10页
Accurate prediction of molecular properties is crucial for selecting compounds with ideal properties and reducing the costs and risks of trials.Traditional methods based on manually crafted features and graph-based me... Accurate prediction of molecular properties is crucial for selecting compounds with ideal properties and reducing the costs and risks of trials.Traditional methods based on manually crafted features and graph-based methods have shown promising results in molecular property prediction.However,traditional methods rely on expert knowledge and often fail to capture the complex structures and interactions within molecules.Similarly,graph-based methods typically overlook the chemical structure and function hidden in molecular motifs and struggle to effectively integrate global and local molecular information.To address these limitations,we propose a novel fingerprint-enhanced hierarchical graph neural network(FH-GNN)for molecular property prediction that simultaneously learns information from hierarchical molecular graphs and fingerprints.The FH-GNN captures diverse hierarchical chemical information by applying directed message-passing neural networks(D-MPNN)on a hierarchical molecular graph that integrates atomic-level,motif-level,and graph-level information along with their relationships.Addi-tionally,we used an adaptive attention mechanism to balance the importance of hierarchical graphs and fingerprint features,creating a comprehensive molecular embedding that integrated hierarchical mo-lecular structures with domain knowledge.Experiments on eight benchmark datasets from MoleculeNet showed that FH-GNN outperformed the baseline models in both classification and regression tasks for molecular property prediction,validating its capability to comprehensively capture molecular informa-tion.By integrating molecular structure and chemical knowledge,FH-GNN provides a powerful tool for the accurate prediction of molecular properties and aids in the discovery of potential drug candidates. 展开更多
关键词 Deep learning Hierarchical molecular graph Molecular fingerprint Molecular property prediction Directed message-passing neural network
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Achieving negative thermal expansion over an extended temperature range in rare-earth-modified Pb TiO3-based perovskites 认领 引用 被引量：1
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作者 Zhao Pan Meng-Qi Ye +12 位作者 Yan Suo Feng-Yi Zhou Duo Wang Jin Liu Xu-Bin Ye Jie Zhang Mao-Cai Pi Wei-Hao Li Chao Chen Nian-Peng Lu Shogo Kawaguchi Yao Shen You-Wen Long 《Rare Metals》 SCIE EI CAS CSCD 2025年第9期6494-6502,共9页
Negative thermal expansion(NTE)is a notable physical property where a material’s volume decreases instead of increasing when heated.The identification of NTE materials is crucial for thermal expansion control enginee... Negative thermal expansion(NTE)is a notable physical property where a material’s volume decreases instead of increasing when heated.The identification of NTE materials is crucial for thermal expansion control engineering.Most NTE materials exhibit NTE only within a narrow temperature range,restricting their applications.Achieving NTE across a broad temperature range remains a significant challenge.This study developed a novel PbTiO3-based system,(1-x)PbTiO3–xBiLuO3,incorporating rare-earth elements,using a distinctive high-pressure and high-temperature synthesis technique.We achieved NTE across a broad temperature range by coupling lattice(c/a)with ferroelectric order parameters.The incorporation of BiLuO3resulted in distinctive ferroelectric characteristics,including increased tetragonality,spontaneous polarization,and NTE over a broad temperature range.NTE over an extended temperature range has been achieved in 0.95PbTiO3–0.05BiLuO3(■=−1.7×10–5K−1,300–840 K)and 0.90PbTiO3–0.10BiLuO3(■=−1.4×10–5K−1,300–860 K),compared to pristine PbTiO3(■=−1.99×10–5K−1,300–763 K).The improved tetragonalities and broader NTE temperature range result from the strong hybridization of Pb/Bi–O and Ti/Lu–O atoms,as demonstrated by combined experimental and theoretical analyses,including high-energy synchrotron X-ray diffraction,Raman spectroscopy,and density functional theory calculations.This study introduces a novel example of NTE over a broad temperature range,highlighting its potential as a high-performance thermal expansion compensator.Additionally,it presents an effective method for incorporating rare-earth elements to achieve NTE in PbTiO3-based perovskites across a wide temperature range. 展开更多
关键词 Negative thermal expansion High-pressure and high-temperature synthesis Density functional theory
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Digital Empowerment of Governance System Innovation in Guangdong-Hong Kong-Macao Greater Bay Area Urban Agglomeration 认领 引用
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作者 DU Mengqi YIN Yifen +1 位作者 CHEN Qingyun Lam Fat Iam 《US-China Law Review》 2022年第10期448-457,共10页
The governance of the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration has cross-border and cross-system characteristics.The development of the digital age and increasing competition in metropolitan area... The governance of the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration has cross-border and cross-system characteristics.The development of the digital age and increasing competition in metropolitan areas have left urban agglomeration in urgent need of innovation in their governance systems.Digital empowerment is a means of technological change that acts on the development of things,through digital support,Integrating inter-governmental coordination governance,common market governance,refined social governance,and cultural integration governance throughout the governance system of the Guangdong-Hong Kong-Macao Greater Bay Area urban agglomeration,to enable the Guangdong-Hong Kong-Macao Greater Bay Area to adapt to the development of the digital era,cope with an external governance environment fraught with uncertainties,meet the diverse governance needs of urban agglomeration,and achieve integrated regional development.This paper explores the innovative path of digital urban agglomeration governance with characteristics of the Guangdong-Hong Kong-Macao Greater Bay Area,in order to better promote the development of modernized governance in urban agglomeration. 展开更多
关键词 digital empowerment urban agglomeration governance governance system
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Sample preparation techniques for quality evaluation and safety control of medicinal and edible plants:Overview,advances,applications,and future perspectives 认领 引用
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作者 Lingxuan Ma Lele Yang +8 位作者 Lijun Tang Yudi Wang Hua Luo Zhangfeng Zhong Wensheng Zhang Di Chen Jinchao Wei Peng Li Yitao Wang 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第12期2724-2748,共25页
Medicinal and edible plants(MEPs)have attracted increasing interest worldwide due to their natural origin,reliable efficacy,and minimal side effects in recent years.However,the complex and fluctuating levels of inhere... Medicinal and edible plants(MEPs)have attracted increasing interest worldwide due to their natural origin,reliable efficacy,and minimal side effects in recent years.However,the complex and fluctuating levels of inherent chemical constituents and exogenous hazardous contaminants have triggered widespread concerns about their efficacy and safety.Developing analytical methods for both active components and exogenous contaminants concealed in these samples is central to the quality evaluation,in which sample preparation is crucial.This paper systematically reviewed the evolution of standard sample preparation methods,microextraction techniques based on novel solvents and nanomaterials,and innovative integrated techniques from 2019.Accordingly,their merits and weaknesses were discussed by showing fruitful applications in identifying and quantifying active components in these plants.Further,successful applications for analyzing exogenous contaminants were prominently showcased,highlighting the management of pesticides,heavy metals,mycotoxins,and polycyclic aromatic hydrocarbons(PAHs).Finally,forthcoming trends in sample preparation techniques were delineated to illuminate the development and implementation of more advanced sample preparation technologies. 展开更多
关键词 Medicinal and edible plants Sample preparation Herb Safety Phytochemicals Contaminants
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HyPepTox-Fuse:An interpretable hybrid framework for accurate peptide toxicity prediction fusing protein language model-based embeddings with conventional descriptors 认领 引用 被引量：2
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作者 Duong Thanh Tran Nhat Truong Pham +2 位作者 Nguyen Doan Hieu Nguyen Leyi Wei Balachandran Manavalan 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第8期1873-1886,共14页
Peptide-based therapeutics hold great promise for the treatment of various diseases;however,their clinical application is often hindered by toxicity challenges.The accurate prediction of peptide toxicity is crucial fo... Peptide-based therapeutics hold great promise for the treatment of various diseases;however,their clinical application is often hindered by toxicity challenges.The accurate prediction of peptide toxicity is crucial for designing safe peptide-based therapeutics.While traditional experimental approaches are time-consuming and expensive,computational methods have emerged as viable alternatives,including similarity-based and machine learning(ML)-/deep learning(DL)-based methods.However,existing methods often struggle with robustness and generalizability.To address these challenges,we propose HyPepTox-Fuse,a novel framework that fuses protein language model(PLM)-based embeddings with conventional descriptors.HyPepTox-Fuse integrates ensemble PLM-based embeddings to achieve richer peptide representations by leveraging a cross-modal multi-head attention mechanism and Transformer architecture.A robust feature ranking and selection pipeline further refines conventional descriptors,thus enhancing prediction performance.Our framework outperforms state-of-the-art methods in cross-validation and independent evaluations,offering a scalable and reliable tool for peptide toxicity prediction.Moreover,we conducted a case study to validate the robustness and generalizability of HyPepTox-Fuse,highlighting its effectiveness in enhancing model performance.Furthermore,the HyPepTox-Fuse server is freely accessible at http://gffzza755ec5574b74ebes0owbn9n0v9pw6w0k.ffgz.tsg.suse.edu.cn/HyPepTox-Fuse/and the source code is publicly available at http://gffzz188fe103f8f1460as0owbn9n0v9pw6w0k.ffgz.tsg.suse.edu.cn/cbbl-skku-org/HyPepTox-Fuse/.The study thus presents an intuitive platform for predicting peptide toxicity and supports reproducibility through openly available datasets. 展开更多
关键词 Peptide toxicity Hybrid framework Multi-head attention Transformer Deep learning Machine learning Protein language model
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Advance care planning readiness among older adults in aged service centers:A cross-sectional study 认领 引用 被引量：4
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作者 Kalok Wong Haobin Yuan +1 位作者 Stephen Tee Sinkei Cheong 《International Journal of Nursing Sciences》 CSCD 2025年第1期59-64,I0003,共6页
Objective:This study aimed to explore the readiness for advance care planning(ACP)among older adults in Macao’s day service centers and investigate the influencing factors.Methods:A cross-sectional study was conducte... Objective:This study aimed to explore the readiness for advance care planning(ACP)among older adults in Macao’s day service centers and investigate the influencing factors.Methods:A cross-sectional study was conducted from October to December 2022 using a convenience sampling method.A total of 312 older adults were selected from 13 day service centers for older adults in Macao,China.The Advance Care Planning Acceptance Questionnaire and the Family Adaptation,Partnership,Growth,Affection,Resolve(APGAR)Scale were used to survey the older adults.Results:A total of 306 older adults completed the survey.The score for advance care planning readiness was 65.55±10.69,and 59.5%of participants(n=182)were willing to participate in ACP.The family function score was 7.24±2.51,while 70.3%of participants were from a highly functional family.The higher family function indicating a higher readiness for advance care planning(r=0.396,P<0.001).The multiple linear regression analysis indicated that the variables“age,”“knowledge of ACP,”“experience with ACP,”and“received resuscitation of yourself,relatives or friends”combined with“family function”can influence advance care planning readiness among older adults(R2=0.317,F=27.898,P<0.001).Conclusions:Older adults in Macao’s day service centers were willing to engage in ACP.The importance of family involvement is highlighted in the ACP readiness.Health education and improved family communication are vital for promoting ACP,which ensures individuals receive care when they lack the capacity to make that choice.Additionally,healthcare professionals should enhance communication and education with older adults during the medical care process. 展开更多
关键词 Advance care planning Aged Macao,China Readiness
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Analysis of aerosol chemical components and source apportionment during a long-lasting haze event in the Yangtze River Delta,China 认领 引用 被引量：2
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作者 Zhizhen Peng Honglei Wang +4 位作者 Minquan Zhang Yinglong Zhang Li Li Yifei Li Zelin Ao 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2025年第10期14-29,共16页
Based on the chemical composition data of a regional long-lasting haze event that occurred in the Yangtze River Delta(YRD)region from 17 December 2023 to 8 January 2024,the evolutionary characteristics of the chemical... Based on the chemical composition data of a regional long-lasting haze event that occurred in the Yangtze River Delta(YRD)region from 17 December 2023 to 8 January 2024,the evolutionary characteristics of the chemical components and sources of fine particulate matter(PM2.5)under different pollution levels were comparatively analyzed using PMF(Positive Matrix Factorization)and backward trajectory analysis.SNA(NO3-,NH4+,SO42-)was found to be the primary chemical component of PM2.5,making up 63.6%(clean days)to 69.7%(heavy pollution)of it.The NO3-concentration was 3.14(clean days)to 6.01(heavy pollution)times higher than that of SO42-.NO3-,POC,Fe,Mn,Al concentrations increased,while SOC,EC,crustal elements(Ca,Si)and other water-soluble ions(WSIs)concentrations decreased as the pollution level increased.The contribution of secondary inorganics and biomass-burning emissions and industrial and ship emissions increased significantly as the pollution level increased,which accounted for 40.3%and 36.7%,respectively,in the heavy pollution stage.The contribution of traffic sources decreases gradually with increasing pollution levels,accounting for only 59.1%of the light pollution stage in the heavy pollution stage.PM2.5 and its main chemical components showed similar potential source distribution,located in the northwest(Fuyang,Huainan,Nanjing),south(Taizhou,Lishui,Jiande)and north(Taizhou,Yancheng).However,distinct transport routes were observed under the different air quality levels.During the heavy pollution period,the polluted air masses primarily came from the harbor regions,whereas during the light pollution period they were transported from the southeast(Taizhou)and the North China Plain. 展开更多
关键词 Yangtze River Delta region PM2.5chemical components Diurnal variation Source apportionment Potential source analysis
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Advancements in understanding tumor-resident bacteria and their application in cancer therapy 认领 引用 被引量：4
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作者 Yi-Chen Luo Xiu-Ting Huang +6 位作者 Rui Wang Yu-Jing Lin Jia-Xin Sun Ke-Feng Li De-Yun Wang Yan Yan Yong-Kang Qiao 《Military Medical Research》 SCIE CAS CSCD 2025年第12期1941-1983,共43页
Recent advances in next-generation sequencing and bioinformatics have driven growing interest in the distinct roles of intratumoral microbiota,particularly intracellular bacteria,during tumor evolution.These bacteria ... Recent advances in next-generation sequencing and bioinformatics have driven growing interest in the distinct roles of intratumoral microbiota,particularly intracellular bacteria,during tumor evolution.These bacteria increase the likelihood of metastasis,play important roles in cancer progression,and impact therapy efficiency.The present review explores the sources,mechanisms of invasion into cancer cells,and potential survival strategies of intracellular bacteria in neoplasms,highlighting their critical role in cancer development.We also examine the heterogeneity and intricate interplay of intratumoral microbial communities with immune and cancer cells,emphasizing their potential roles in modulating host genetics,epigenetics,and immunity.Finally,we discuss novel approaches to targeting intracellular bacteria,particularly engineered drug delivery systems,and synthetic biology,which aim to enhance bacterial clearance,reprogram the tumor immune microenvironment,and enhance the efficacy of chemotherapy and immunotherapy.As a result,this review provides new insights to guide future investigations and support the development of microbiota-based interventions in oncology. 展开更多
关键词 Intratumoral microbiome Intracellular bacteria Cancer progression Immune modulation Cancer therapeutics
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Research on the Evaluation of Teaching and Research Ability in Higher Vocational Colleges:Based on the Teaching and Research Achievements of Hainan Higher Vocational Colleges from 2020-2023 认领 引用
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作者 Kebu Wang Yunge Gao +1 位作者 Xia Liu Hongfeng Zhang 《国际计算机前沿大会会议论文集》 2025年第1期175-199,共25页
This study focuses on 14 higher vocational colleges in Hainan Province.By collecting data from five dimensions-academic papers,research projects,patents,teacher teaching competitions,and teaching achievement awards-be... This study focuses on 14 higher vocational colleges in Hainan Province.By collecting data from five dimensions-academic papers,research projects,patents,teacher teaching competitions,and teaching achievement awards-between 2020 and 2023,this research analyses the current status of teaching and research at these 14 higher vocational colleges in Hainan.Also evaluated the teaching and research capabilities of these institutions via the entropy value method.The findings reveal that academic papers of high volume and quality are predominantly found in Hainan’s higher vocational colleges designated as“Double High”institutions,which possess distinct professional characteris-tics.With respect to research projects,Hainan’s higher vocational colleges con-duct scientific research grounded in provincial conditions,with a focus on the construction of the Hainan Free Trade Port and key local industries.In terms of patents,Hainan’s higher vocational colleges place greater emphasis on the cultivation of utility model patents.With respect to teaching achievement awards,Hainan has a relatively high selection frequency,with a particular focus on participation from department heads and frontline teachers.In teacher teaching competitions,Hainan’s higher vocational colleges utilize their professional characteristics to develop competition projects centered around clusters of majors.On the basis of the results of the data analysis,recommendations are proposed for transforming research paradigms,building high-quality teaching and research teams,establishing a sustainable teaching and research evaluation system,and implementing categorized management for key and general institutions,providing a basis for enhancing teaching and research capabilities at Hainan’s higher vocational colleges. 展开更多
关键词 Vocational education Integration of science education and technology Vocational colleges Teaching and research evaluation
Bootstrapping BI‑RADS classification using large language models and transformers in breast magnetic resonance imaging reports 认领 引用
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作者 Yuxin Liu Xiang Zhang +7 位作者 Weiwei Cao Wenju Cui Tao Tan Yuqin Peng Jiayi Huang Zhen Lei Jun Shen Jian Zheng 《Visual Computing for Industry,Biomedicine,and Art》 EI 2025年第1期117-132,共16页
Breast cancer is one of the most common malignancies among women globally.Magnetic resonance imaging(MRI),as the final non-invasive diagnostic tool before biopsy,provides detailed free-text reports that support clinic... Breast cancer is one of the most common malignancies among women globally.Magnetic resonance imaging(MRI),as the final non-invasive diagnostic tool before biopsy,provides detailed free-text reports that support clinical decision-making.Therefore,the effective utilization of the information in MRI reports to make reliable decisions is crucial for patient care.This study proposes a novel method for BI-RADS classification using breast MRI reports.Large language models are employed to transform free-text reports into structured reports.Specifically,missing category information(MCI)that is absent in the free-text reports is supplemented by assigning default values to the missing categories in the structured reports.To ensure data privacy,a locally deployed Qwen-Chat model is employed.Furthermore,to enhance the domain-specific adaptability,a knowledge-driven prompt is designed.The Qwen-7B-Chat model is fine-tuned specifically for structuring breast MRI reports.To prevent information loss and enable comprehensive learning of all report details,a fusion strategy is introduced,combining free-text and structured reports to train the classification model.Experimental results show that the proposed BI-RADS classification method outperforms existing report classification methods across multiple evaluation metrics.Furthermore,an external test set from a different hospital is used to validate the robustness of the proposed approach.The proposed structured method surpasses GPT-4o in terms of performance.Ablation experiments confirm that the knowledge-driven prompt,MCI,and the fusion strategy are crucial to the model’s performance. 展开更多
关键词 Large language model Structured report Missing category information Radiology report
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