Objective:This study aimed to develop a Nursing Retrieval-Augmented Generation(NurRAG)system based on large language models(LLMs)and to evaluate its accuracy and clinical applicability in nursing question answering.Me...Objective:This study aimed to develop a Nursing Retrieval-Augmented Generation(NurRAG)system based on large language models(LLMs)and to evaluate its accuracy and clinical applicability in nursing question answering.Methods:A multidisciplinary team consisting of nursing experts,artificial intelligence researchers,and information engineers collaboratively designed the NurRAG framework following the principles of retrieval-augmented generation.The system included four functional modules:1)construction of a nursing knowledge base through document normalization,embedding,and vector indexing;2)nursing question filtering using a supervised classifier;3)semantic retrieval and re-ranking for evidence selection;and 4)evidence-conditioned language model generation to produce citation-based nursing answers.The system was securely deployed on hospital intranet servers using Docker containers.Performance evaluation was conducted with 1,000 expert-verified nursing question–answer pairs.Semantic fidelity was assessed using Recall Oriented Understudy for Gisting Evaluation–Longest Common Subsequence(ROUGE-L),and clinical correctness was measured using Accuracy.Results:The NurRAG system achieved significant improvements in both semantic fidelity and answer accuracy compared with conventional large language models.For ChatGLM2-6B,ROUGE-L increased from(30.73±1.48)%to(64.27±0.27)%,and accuracy increased from(49.08±0.92)%to(75.83±0.35)%.For LLaMA2-7B,ROUGE-L increased from(28.76±0.89)%to(60.33±0.21)%,and accuracy increased from(43.27±0.83)%to(73.29±0.33)%.All differences were statistically significant(P<0.001).A quantitative case analysis further demonstrated that NurRAG effectively reduced hallucinated outputs and generated evidence-based,guideline-concordant nursing responses.Conclusion:The NurRAG system integrates domain-specific retrieval with LLMs generation to provide accurate,reliable,and traceable evidence-based nursing answers.The findings demonstrate the system’s feasibility and potential to improve the accuracy of clinical knowledge access,support evidence-based nursing decision-making,and promote the safe application of artificial intelligence in nursing practice.展开更多
With the accelerating pace of population aging in China,various issues related to elderly care have emerged one after another,becoming a severe social problem.Especially against the backdrop of increasing economic pre...With the accelerating pace of population aging in China,various issues related to elderly care have emerged one after another,becoming a severe social problem.Especially against the backdrop of increasing economic pressure,the traditional family-based elderly care model is facing significant challenges and can hardly meet the elderly care needs.At present,the geriatric nursing models are relatively backward,which directly affects the quality of daily life,physical health and mental well-being of the elderly.Therefore,it is necessary to explore an appropriate geriatric nursing model to address the aging problem.Based on this,this paper analyzes and studies the current situation of geriatric nursing models under the background of healthy aging,providing references for relevant research and practice.展开更多
Objective: To explore the application effect of optimizing the nursing model in community health centers for elderly health examinations, providing a reference for enhancing the management level of elderly health at t...Objective: To explore the application effect of optimizing the nursing model in community health centers for elderly health examinations, providing a reference for enhancing the management level of elderly health at the grassroots level. Methods: A total of 300 elderly individuals who underwent health examinations at our center from January 2024 to December 2024 were selected as the study subjects. They were randomly divided into a control group and an observation group, with 150 cases in each group. The control group underwent the conventional health examination nursing process, while the observation group adopted an optimized community nursing model, which included stratified education and appointment scheduling before the examination, full-time accompaniment and safety care during the examination, and the establishment of electronic medical records and continuous follow-up after the examination. Differences in health management awareness rates and satisfaction with health examination services between the two groups of elderly individuals were compared. Results: The health management awareness rate in the observation group was 94.67%, significantly higher than that in the control group (78.00%;p < 0.001). The satisfaction rate with health examination services in the observation group was 96.00%, also significantly higher than that in the control group (82.00%;p < 0.001). Conclusion: The optimized community nursing model can effectively enhance the health awareness level and service satisfaction of elderly individuals during health examinations, demonstrating strong practicality and promotion value. It contributes to achieving continuity and precision in grassroots elderly health management.展开更多
Nursing models at home and abroad for breast cancer patients during the perioperative period were screened, including eight types of models： the nursing model guided by self-care theory, the plan-do-check-a...Nursing models at home and abroad for breast cancer patients during the perioperative period were screened, including eight types of models： the nursing model guided by self-care theory, the plan-do-check-act cycle combined with the four-in-one model, the peer support nursing model, the nursing model guided by transcultural theory, the multidisciplinary cooperative nursing model, the knowledge-attitude-practice nursing model, the safe nursing management model, and the case nursing model. These models were analyzed and described with the aim of providing a reference for the clinical breast surgery nursing staff in China and for promoting the development of nursing in China for breast cancer the perioperative period.展开更多
Objectives＂ To deepen our understanding of the status quo and to identify the hot topics and develop- mental trends of research on nursing models in countries other than China in the most recent decade. Methods： The...Objectives＂ To deepen our understanding of the status quo and to identify the hot topics and develop- mental trends of research on nursing models in countries other than China in the most recent decade. Methods： The study subjects were the publications retrieved from the PubMed database using the MeSH terms of ＂Models, Nursing＂. Bibliographic item co-occurrence mining system （BICOMS） software was used for conventional bibliometric analysis of publications during two time periods, 2005-2009 and 2010-2014. The number of published journal articles, journal distribution, authors of publications, country of origin of journals, and language of publications were analyzed to establish a high-frequency keyword profile and co-occurrence matrix. Graphical clustering toolkit （gCLUTO） software was applied for two-way clustering analysis and visualized analysis. Results： A total of 1472 journal articles with a key theme of nursing models were retrieved for final analysis, including 771 published during 2005-2009 and 701 during 2010-2014. The bibliometric analysis revealed that publications other than China concerning nursing models were mostly concentrated in the United States and the United Kingdom and that the number of relevant publications has been continuously decreasing. The two-way clustering analysis showed that there were mainly four types of research themes in the relevant publications in countries other than China during 2005-2009, i.e., nursing education and theoretical research, clinical nursing and psychological care, nursing administration, and models of nursing education, whereas there were five types during 2010-2014, i.e., nursing theories and clinical nursing practice, nursing administration models and assessments of nurses＇ knowledge and skills, community nursing administration models, nursing human resource management, and nursing education models and approaches. Conclusions： Research on nursing models in countries other than China is relatively mature and stable with a broader view, but it has shown a declining trend in recent years. It emphasizes both theory and practice, with research content tending to be structured into four modules, i.e., nursing education, administration, clinical practice, and theoretical research. Community nursing models may become a key research direction in the international research on nursing models in the future.展开更多
Objective: To explore the effectiveness of applying patient simulators combined with Internet Plus scenario simulation teaching models on intravenous (IV) infusion nursing education, and to provide scientific evidence...Objective: To explore the effectiveness of applying patient simulators combined with Internet Plus scenario simulation teaching models on intravenous (IV) infusion nursing education, and to provide scientific evidence for the implementation of advanced teaching models in future nursing education. Methods: Enrolled 60 nurses who took the IV infusion therapy training program in our hospital from January 2022 to December 2023 for research. 30 nurses who were trained in traditional teaching models from January to December 2022 were selected as the control group, and 30 nurses who were trained with simulation-based teaching models with methods including simulated patients, internet, online meetings which can be replayed and scenario simulation, etc. from January to December 2023 were selected as the experimental group. Evaluated the learning outcomes based on the Competency Inventory for Nursing Students (CINS), Problem-Solving Inventory (PSI), comprehensive learning ability, scientific research ability, and proficiency in the theoretical knowledge and practical skills of IV infusion therapy. Nursing quality, the incidence of IV infusion therapy complications and nurse satisfaction with different teaching models were also measured. Results: The scientific research ability, PSI scores, CINS scores, and comprehensive learning ability of the experimental group were better than those of the control group (P 0.05), and their assessment results of practical skills, nursing quality of IV infusion therapy during training, and satisfaction with teaching models were all better than those of the control group with statistical significance (P < 0.05). The incidence of IV infusion therapy complications in the experimental group was lower than that in the control group, indicating statistical significance (P < 0.05). Conclusions: Teaching models based on patient simulators combined with Internet Plus scenario simulation enable nursing students to learn more directly and practice at any time and in any place, and can improve their proficiency in IV infusion theoretical knowledge and skills (e.g. PICC catheterization), core competencies, problem-solving ability, comprehensive learning ability, scientific research ability and the ability to deal with complicated cases. Also, it helps provide high-quality nursing education, improve the nursing quality of IV therapy, reduce the incidence of related complications, and ensure the safety of patients with IV therapy.展开更多
Purpose:This pilot study aimed to assess the reliability and validity of a modified Dundee Ready Educational Environment Measure(m-DREEM)tool used to evaluate the effects of different pedagogical approaches in a clini...Purpose:This pilot study aimed to assess the reliability and validity of a modified Dundee Ready Educational Environment Measure(m-DREEM)tool used to evaluate the effects of different pedagogical approaches in a clinical learning environment on nursing students'learning perceptions.Methods:A sample consisting of 130 nursing students in two different models of clinical education was surveyed.Results:This pilot study demonstrated that m-DREEM yields a high internal consistency.This tool can be used to evaluate nursing students'perceptions of their clinical learning environment on the basis of five sub-scales:students'learning perceptions,facilitators,academic self-perception,atmosphere,social self-perception,and mentorship.Conclusion:A definitive and inferential relationship between sub-scales and clinical models,namely,block and non-block dispersed models,could not be determined because of the small sample size of the block clinical model.Hence,further research should be performed.展开更多
Purpose:To analyze the role of the seminar teaching method+case-based learning(CBL)teaching method+problem-based learning(PBL)teaching method in oral clinical nursing teaching.Methods:13 undergraduate nursing students...Purpose:To analyze the role of the seminar teaching method+case-based learning(CBL)teaching method+problem-based learning(PBL)teaching method in oral clinical nursing teaching.Methods:13 undergraduate nursing students who entered the department from September 2020 to September 2021 were selected as the control group,adopting conventional nursing teaching methods;13 undergraduate nursing students who entered the department from September 2021 to August 2022 were selected as the observation group,adopting the seminar+CBL+PBL teaching method.The teaching effects were compared between the two groups.Results:All assessment scores of the observation group were higher than those of the control group;all teaching satisfaction levels were higher than those of the control group(P<0.05).Conclusion:Adopting the seminar+CBL+PBL teaching method during oral clinical nursing teaching can improve nursing students’assessment scores,strengthen their core competencies,and enhance teaching satisfaction.展开更多
Objective:To explore the application of the Registered Nurses'Association of Ontario(RNAO)Best Practice Guideline(BPG)for Developing and Sustaining Nursing Leadership through the lens of nursing students transitio...Objective:To explore the application of the Registered Nurses'Association of Ontario(RNAO)Best Practice Guideline(BPG)for Developing and Sustaining Nursing Leadership through the lens of nursing students transitioning from classroom learning to clinical practice.Through this reflection,the authors hope to inspire and empower future nursing leaders to champion innovation,resilience,and excellence in healthcare.Methods:By integrating evidence-based leadership principles,the authors reflect on their personal experiences,challenges,and successes in implementing these guidelines in real-world settings.Results:The paper highlights the significance of leadership in fostering healthy work environments and improving patient outcomes,emphasizing the role of nursing students as emerging leaders.Practical strategies for applying BPG,the RNAO BPG suggests leadership skills on professional development,and recommendations for embedding leadership principles into nursing education and practice are discussed.Conclusions:Implementing nursing leadership from the beginning of a nursing student's journey is vital for shaping the next generation of healthcare leaders.By integrating leadership principles early in nursing education,students can develop the skills needed to navigate clinical challenges,collaborate effectively with healthcare teams,and advocate for positive change.Starting with leadership guidelines in nursing school ensures that future nurses are equipped to foster supportive work environments,improve patient outcomes,and drive innovation from the very start of their careers,making leadership an inherent part of their professional identity.展开更多
Background:The effective delivery of nursing care is crucial in hospital settings because it directly affects patient outcomes.However,nursing care can be missed because of various factors,including inadequate teamwor...Background:The effective delivery of nursing care is crucial in hospital settings because it directly affects patient outcomes.However,nursing care can be missed because of various factors,including inadequate teamwork among nursing staff.Understanding the interplay between missed nursing care and nursing teamwork is essential for enhancing care quality in inpatient settings.This study therefore explored the relationship between missed nursing care and nursing teamwork among registered nurses in hospital inpatient units.Methods:A descriptive,correlational,cross-sectional study was conducted,involving 375 registered nurses from four hospitals in three healthcare sectors in Jordan.Missed nursing care and nursing teamwork were measured using the Missed Nursing Care Survey and the Nursing Teamwork Survey.Data collection occurred between September and October 2024,with con-venience sampling used for participant recruitment.Descriptive and inferential statistics,including mean,standard deviation,percentage,frequency,and Pearson's r correlation coefficient,were used to analyze the data.Results:The overall average missed nursing care score was 2.35 out of 5,suggesting that nursing care is rarely missed.The most frequently missed care activities reported by registered nurses included attending interdisciplinary care conferences,providing mouth care,and ambulating patients three times daily or as ordered.Activities least often missed included medi-cation administration within 30 min of the scheduled time,assessing vital signs as ordered,and performing patient assessments each shift.The overall mean score for nursing teamwork was 3.5 out of 5(standard deviation=1.06).There was a moderate but significant negative correlation between missed nursing care and nursing teamwork(r=−0.310,p<0.001).Conclusions:The results underscore the urgent need for targeted interventions to enhance resource allocation and teamwork,ultimately reducing missed nursing care and improving patient outcomes.Addressing these areas will foster a more effective healthcare system and enable nursing professionals to consistently deliver high-quality care.展开更多
Objective:To explore the interventional room nursing and its application effects in patients with ischemic stroke treated with tirofiban combined with direct thrombectomy.Methods:A total of 61 patients with ischemic s...Objective:To explore the interventional room nursing and its application effects in patients with ischemic stroke treated with tirofiban combined with direct thrombectomy.Methods:A total of 61 patients with ischemic stroke admitted to our hospital from June 2024 to June 2025 were selected and divided into two groups using the red and blue ball method:the control group(n=30,receiving routine interventional room nursing)and the observation group(n=31,receiving additional tirofiban medication-specific nursing+individualized interventional nursing on the basis of routine nursing).The cerebral hemodynamic indicators,adverse reactions,effectiveness of complication nursing,and nursing satisfaction were compared between the two groups.Results:After 7 days of treatment,the observation group had lower cerebrovascular peripheral resistance and higher mean blood flow velocity and mean blood flow volume compared to the control group(all p<0.05).The observation group had a higher effectiveness rate of complication nursing than the control group,with a statistically significant difference(p<0.05).The nursing satisfaction in the observation group(96.77%)was higher than that in the control group(80.00%),with a statistically significant difference(χ^(2)=4.223,p=0.040<0.05).Conclusion:Tirofiban combined with direct thrombectomy can significantly improve cerebral hemodynamics,enhance the effectiveness of complication nursing,and increase patient satisfaction in patients with ischemic stroke.展开更多
Frontiers of Nursing is a nursing academic journal,CN 14-1395/R,ISSN 2097-5368.Size A4,quarterly publication,color printing,public offerings at home and abroad which is managed by the First Hospital of Shanxi Medical ...Frontiers of Nursing is a nursing academic journal,CN 14-1395/R,ISSN 2097-5368.Size A4,quarterly publication,color printing,public offerings at home and abroad which is managed by the First Hospital of Shanxi Medical University,sponsored by Shanxi Nursing Association and Shanxi Medical Periodical Press Co.,Ltd.Frontiers of Nursing has been indexed by databases including Scopus,Google Scholar,DOAJ,Baidu Scholar,CNKI,VIP,Wanfang,Chaoxing,and so on.展开更多
Objective:Nurse-led virtual outpatient clinics are now a familiar component of healthcare delivery across many disciplines,including cancer care,or thopedics,rheumatology,and gastroenterology.However,establishing a nu...Objective:Nurse-led virtual outpatient clinics are now a familiar component of healthcare delivery across many disciplines,including cancer care,or thopedics,rheumatology,and gastroenterology.However,establishing a nurse-led vir tual clinic is challenging for nursing management,par ticularly regarding resources.We aimed to investigate nursing practices and processes and patient experiences in relation to vir tual outpatient clinics.Methods:This was a cross-sectional,descriptive study using mixed data collection methods.Patients(n=324)from 4 specialist clinics completed the Virtual Clinics Patient Satisfaction Questionnaire(VCSQ)survey.Five Nurse Specialists participated in a focus group interview.Results:Most participants(86.3%)reported being satisfied/very satisfied with the virtual clinics,particularly those that were nurse-led.Nurse specialists identified electronic health records(EHRs)and additional IT and administrative support as important for efficiency and effectiveness of the clinics.Conclusions:Nurse-led virtual clinics can be an effective and efficient way to provide care to patients.Nurse managers need to ensure supportive structures are in place,for example,dedicated administrators,IT support and infrastructure,education/training,and relevant policies/procedures.The success of nurse-led virtual services requires key infrastructure to support nursing staff and sustain this service.展开更多
Objective:To analyze the application effectiveness of the integrated medical-nursing comprehensive care model in cases of cerebral infarction and clarify its clinical practical value for the patient rehabilitation pro...Objective:To analyze the application effectiveness of the integrated medical-nursing comprehensive care model in cases of cerebral infarction and clarify its clinical practical value for the patient rehabilitation process.Methods:A total of 60 patients with cerebral infarction admitted from June 2024 to December 2024 were selected as the research subjects and randomly divided into a control group and a research group,with 30 cases in each group.Patients in the control group received routine clinical nursing measures,while those in the study group underwent collaborative healthcare intervention in addition to routine nursing.The intervention included joint disease assessment,personalized rehabilitation training guidance,psychological counseling,and continuous nursing services after discharge.A comparative study was conducted by evaluating indicators such as the scores on adverse emotion scales,the extent of neurological recovery,the effectiveness rate of clinical rehabilitation treatment,and the level of satisfaction with nursing services between the two groups.Results:After the intervention,the scores on the Self-Rating Anxiety Scale(SAS)and the Self-Rating Depression Scale(SDS)in the study group decreased to(40.12±5.01)and(41.36±5.20),respectively,both significantly lower than those in the control group,which were(47.36±5.82)and(48.95±5.63),respectively.The differences between the two groups were statistically significant(p<0.05).The improvement in the neurological deficit scores of patients in the study group reached(9.18±2.04),higher than that in the control group,which was(5.17±1.82)(p<0.05).The overall clinical rehabilitation effectiveness rate in the study group was 93.3%,significantly higher than that in the control group,which was 73.3%.The satisfaction rate with nursing services in the study group reached 96.7%,also higher than that in the control group,which was 83.3%.The differences between the two groups were statistically significant(p<0.05).Conclusion:The integrated healthcare nursing model can effectively alleviate adverse emotional states in patients with cerebral infarction,facilitate the repair and reconstruction of neurological function,improve the effectiveness of clinical rehabilitation treatment and satisfaction with nursing services,and thus holds high value for clinical promotion and application.展开更多
Objective:To explore the impact of evidence-based predictive nursing intervention on psychological stress and physiological indicator stability of elderly cataract patients during the perioperative period(1 day before...Objective:To explore the impact of evidence-based predictive nursing intervention on psychological stress and physiological indicator stability of elderly cataract patients during the perioperative period(1 day before surgery to 1 day after surgery),and to provide a basis for optimizing clinical nursing plans for elderly cataract surgery.Methods:A retrospective selection of 90 elderly patients(aged≥60 years)who underwent cataract surgery in the Ophthalmology Department of our hospital from August 2024 to December 2024 was conducted.They were divided into an observation group(n=45)and a control group(n=45)using a random number table method.The control group received routine nursing for cataract surgery,while the observation group implemented evidence-based predictive nursing intervention(including the establishment of a multidisciplinary evidence-based team,hierarchical psychological intervention,perioperative environment optimization,intraoperative personalized cooperation,and video-based health education).Psychological stress indicators[Self-Rating Anxiety Scale(SAS),Self-Rating Depression Scale(SDS),General Self-Efficacy Scale(GSES)]on the 1st day before surgery and 1st day after surgery,and fluctuations of physiological indicators[Heart Rate(HR),Systolic Blood Pressure(SBP),Diastolic Blood Pressure(DBP)]on the 1st day before surgery and during surgery were compared between the two groups.Results:Before intervention,there were no statistically significant differences in SAS,SDS,GSES scores,HR,SBP,or DBP between the two groups(p>0.05);after intervention,the SAS score(33.62±5.72)and SDS score(32.14±4.86)of the observation group on the 1st day after surgery were significantly lower than those of the control group[(41.05±5.56),(43.59±4.75)],and the GSES score(31.15±3.28)was significantly higher than that of the control group(24.84±3.52)(all p<0.05);during surgery,the fluctuations of HR(74.0±6.0)beats/min,SBP(127.0±15.8)mmHg,and DBP(75.0±5.9)mmHg in the observation group were significantly smaller than those in the control group(all p<0.05).Conclusion:Evidence-based predictive nursing intervention can effectively alleviate anxiety and depression in elderly cataract patients during the perioperative period,improve self-efficacy,stabilize intraoperative physiological status,and enhance surgical cooperation,which is worthy of clinical promotion.展开更多
Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interact...Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interactions to predict future items of interest.However,many current methods rely on unique user and item IDs,limiting their ability to represent users and items effectively,especially in zero-shot learning scenarios where training data is scarce.With the rapid development of Large Language Models(LLMs),researchers are exploring their potential to enhance recommendation systems.However,there is a semantic gap between the linguistic semantics of LLMs and the collaborative semantics of recommendation systems,where items are typically indexed by IDs.Moreover,most research focuses on item representations,neglecting personalized user modeling.To address these issues,we propose a sequential recommendation framework using LLMs,called CIT-Rec,a model that integrates Collaborative semantics for user representation and Image and Text information for item representation to enhance Recommendations.Specifically,by aligning intuitive image information with text containing semantic features,we can more accurately represent items,improving item representation quality.We focus not only on item representations but also on user representations.To more precisely capture users’personalized preferences,we use traditional sequential recommendation models to train on users’historical interaction data,effectively capturing behavioral patterns.Finally,by combining LLMs and traditional sequential recommendation models,we allow the LLM to understand linguistic semantics while capturing collaborative semantics.Extensive evaluations on real-world datasets show that our model outperforms baseline methods,effectively combining user interaction history with item visual and textual modalities to provide personalized recommendations.展开更多
The collection and annotation of lar ge-scale bird datasets are resource-intensive and time-consuming processes that significantly limit the scalability and accuracy of biodiversity monitoring systems.While self-super...The collection and annotation of lar ge-scale bird datasets are resource-intensive and time-consuming processes that significantly limit the scalability and accuracy of biodiversity monitoring systems.While self-supervised learning(SSL)has emerged as a promising approach for leveraging unannotated data,current SSL methods face two critical challenges in bird species recognition:(1)long-tailed data distributions that result in poor performance on underrepresented species;and(2)domain shift issues caused by data augmentation strategies designed to mitigate class imbalance.Here we present SDNet,a novel SSL-based bird recognition framework that integrates diffusion models with large language models(LLMs)to overcome these limitations.SDNet employs LLMs to generate semantically rich textual descriptions for tail-class species by prompting the models with species taxonomy,morphological attributes,and habitat information,producing detailed natural language priors that capture fine-grained visual characteristics(e.g.,plumage patterns,body proportions,and distinctive markings).These textual descriptions are subsequently used by a conditional diffusion model to synthesize new bird image samples through cross-attention mechanisms that fuse textual embeddings with intermediate visual feature representations during the denoising process,ensuring generated images preserve species-specific morphological details while maintaining photorealistic quality.Additionally,we incorporate a Swin Transformer as the feature extraction backbone whose hierarchical window-based attention mechanism and shifted windowing scheme enable multi-scale local feature extraction that proves particularly effective at capturing finegrained discriminative patterns(such as beak shape and feather texture)while mitigating domain shift between synthetic and original images through consistent feature representations across both data sources.SDNet is validated on both a self-constructed dataset(Bird_BXS)an d a publicly available benchmark(Birds_25),demonstrating substantial improvements over conventional SSL approaches.Our results indicate that the synergistic integration of LLMs,diffusion models,and the Swin Transformer architecture contributes significantly to recognition accuracy,particularly for rare and morphologically similar species.These findings highlight the potential of SDNet for addressing fundamental limitations of existing SSL methods in avian recognition tasks and establishing a new paradigm for efficient self-supervised learning in large-scale ornithological vision applications.展开更多
Objective:To analyze the impact of nursing interventions based on quantitative assessment using the Kano model on the quality of rehabilitation in patients with early-stage ovarian cancer following laparoscopic radica...Objective:To analyze the impact of nursing interventions based on quantitative assessment using the Kano model on the quality of rehabilitation in patients with early-stage ovarian cancer following laparoscopic radical surgery.Methods:A prospective clinical study was conducted involving 96 patients with newly diagnosed early-stage ovarian cancer who underwent laparoscopic radical surgery from December 2023 to December 2025.Patients were randomly assigned to groups using a random number table method before surgery.After surgery,the control group(n=48)received routine quantitative assessment nursing interventions,while the observation group(n=48)received nursing interventions based on quantitative assessment using the Kano model.Both groups received continuous nursing care until discharge.Differences between the groups were compared in terms of negative emotions,quality of life scores before and after postoperative intervention,postoperative recovery indicators,and nursing satisfaction evaluations on the day of discharge.Results:After intervention,the observation group had lower scores on the Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS),as well as shorter recovery times for gastrointestinal function and food intake,and a shorter hospital stay compared to the control group.Additionally,the observation group had higher scores on the Quality-of-Life Instrument for Cancer Patients-Ovarian Cancer(QLICP-OV)than the control group,with statistically significant differences(p<0.05).The overall satisfaction with nursing care in the observation group was also higher than that in the control group,with a statistically significant difference(p<0.05).Conclusion:Implementing quantitative evaluation nursing interventions based on the Kano model for patients with early-stage ovarian cancer after laparoscopic radical surgery can,by addressing their postoperative basic health,disease awareness,and other intervention content needs to a comprehensive degree,actively promote postoperative recovery and improve their mental health and quality of life.展开更多
MASLD in China:an under-recognized public health problem Epidemic characteristics of metabolic dysfunction-associated steatotic liver disease(MASLD)in China As one of the most common chronic non-infectious liver disea...MASLD in China:an under-recognized public health problem Epidemic characteristics of metabolic dysfunction-associated steatotic liver disease(MASLD)in China As one of the most common chronic non-infectious liver diseases,metabolic dysfunction-associated steatotic liver disease(MASLD),previously known as non-alcoholic fatty liver disease(NAFLD),affects one quarter of the world’s population,is closely related to diabetes and obesity[1,2].展开更多
Recently,inflammatory cytokine profiles have been linked to suicide risk in adolescents with non-suicidal self-injury,highlighting a promising biological dimension of suicide risk assessment.Clinical translation of th...Recently,inflammatory cytokine profiles have been linked to suicide risk in adolescents with non-suicidal self-injury,highlighting a promising biological dimension of suicide risk assessment.Clinical translation of the cytokine profiles into practice will require frontline engagement of the workforce.Mental health nurses are frequently the most accessible professionals in schools,communities,and low-resource settings and are prime candidates to bridge this gap.By integrating psychosocial evaluation with emerging biomarker data,they can deliver systematic risk assessment,continuous monitoring,and timely intervention.This role would not replace psychiatric expertise;it would extend the reach of psychiatric services,embedding suicide prevention across the continuum of care.For health systems,nurse-led integration may enhance capacity,equity,and resilience in responding to adolescent suicide risk.This editorial demonstrates that empowering nurses to operationalize biomarker-informed strategies is needed for advancing effective and sustainable suicide prevention in this vulnerable population.展开更多
基金supported by the Young and Middle-aged Research Fund Project of Shenzhen People's Hospital(Grant No.SYHL2024-N0010)the Shenzhen Basic Research Program(General Program,Grant No.JCYJ20240813104409013)。
文摘Objective:This study aimed to develop a Nursing Retrieval-Augmented Generation(NurRAG)system based on large language models(LLMs)and to evaluate its accuracy and clinical applicability in nursing question answering.Methods:A multidisciplinary team consisting of nursing experts,artificial intelligence researchers,and information engineers collaboratively designed the NurRAG framework following the principles of retrieval-augmented generation.The system included four functional modules:1)construction of a nursing knowledge base through document normalization,embedding,and vector indexing;2)nursing question filtering using a supervised classifier;3)semantic retrieval and re-ranking for evidence selection;and 4)evidence-conditioned language model generation to produce citation-based nursing answers.The system was securely deployed on hospital intranet servers using Docker containers.Performance evaluation was conducted with 1,000 expert-verified nursing question–answer pairs.Semantic fidelity was assessed using Recall Oriented Understudy for Gisting Evaluation–Longest Common Subsequence(ROUGE-L),and clinical correctness was measured using Accuracy.Results:The NurRAG system achieved significant improvements in both semantic fidelity and answer accuracy compared with conventional large language models.For ChatGLM2-6B,ROUGE-L increased from(30.73±1.48)%to(64.27±0.27)%,and accuracy increased from(49.08±0.92)%to(75.83±0.35)%.For LLaMA2-7B,ROUGE-L increased from(28.76±0.89)%to(60.33±0.21)%,and accuracy increased from(43.27±0.83)%to(73.29±0.33)%.All differences were statistically significant(P<0.001).A quantitative case analysis further demonstrated that NurRAG effectively reduced hallucinated outputs and generated evidence-based,guideline-concordant nursing responses.Conclusion:The NurRAG system integrates domain-specific retrieval with LLMs generation to provide accurate,reliable,and traceable evidence-based nursing answers.The findings demonstrate the system’s feasibility and potential to improve the accuracy of clinical knowledge access,support evidence-based nursing decision-making,and promote the safe application of artificial intelligence in nursing practice.
文摘With the accelerating pace of population aging in China,various issues related to elderly care have emerged one after another,becoming a severe social problem.Especially against the backdrop of increasing economic pressure,the traditional family-based elderly care model is facing significant challenges and can hardly meet the elderly care needs.At present,the geriatric nursing models are relatively backward,which directly affects the quality of daily life,physical health and mental well-being of the elderly.Therefore,it is necessary to explore an appropriate geriatric nursing model to address the aging problem.Based on this,this paper analyzes and studies the current situation of geriatric nursing models under the background of healthy aging,providing references for relevant research and practice.
文摘Objective: To explore the application effect of optimizing the nursing model in community health centers for elderly health examinations, providing a reference for enhancing the management level of elderly health at the grassroots level. Methods: A total of 300 elderly individuals who underwent health examinations at our center from January 2024 to December 2024 were selected as the study subjects. They were randomly divided into a control group and an observation group, with 150 cases in each group. The control group underwent the conventional health examination nursing process, while the observation group adopted an optimized community nursing model, which included stratified education and appointment scheduling before the examination, full-time accompaniment and safety care during the examination, and the establishment of electronic medical records and continuous follow-up after the examination. Differences in health management awareness rates and satisfaction with health examination services between the two groups of elderly individuals were compared. Results: The health management awareness rate in the observation group was 94.67%, significantly higher than that in the control group (78.00%;p < 0.001). The satisfaction rate with health examination services in the observation group was 96.00%, also significantly higher than that in the control group (82.00%;p < 0.001). Conclusion: The optimized community nursing model can effectively enhance the health awareness level and service satisfaction of elderly individuals during health examinations, demonstrating strong practicality and promotion value. It contributes to achieving continuity and precision in grassroots elderly health management.
基金supported by a scientific research project of the Hubei Province Health and Family Planning Commission,China(No.WJ2017M100)
文摘Nursing models at home and abroad for breast cancer patients during the perioperative period were screened, including eight types of models： the nursing model guided by self-care theory, the plan-do-check-act cycle combined with the four-in-one model, the peer support nursing model, the nursing model guided by transcultural theory, the multidisciplinary cooperative nursing model, the knowledge-attitude-practice nursing model, the safe nursing management model, and the case nursing model. These models were analyzed and described with the aim of providing a reference for the clinical breast surgery nursing staff in China and for promoting the development of nursing in China for breast cancer the perioperative period.
基金supported by Shanxi Provincial Health Department(No.201201031)
文摘Objectives＂ To deepen our understanding of the status quo and to identify the hot topics and develop- mental trends of research on nursing models in countries other than China in the most recent decade. Methods： The study subjects were the publications retrieved from the PubMed database using the MeSH terms of ＂Models, Nursing＂. Bibliographic item co-occurrence mining system （BICOMS） software was used for conventional bibliometric analysis of publications during two time periods, 2005-2009 and 2010-2014. The number of published journal articles, journal distribution, authors of publications, country of origin of journals, and language of publications were analyzed to establish a high-frequency keyword profile and co-occurrence matrix. Graphical clustering toolkit （gCLUTO） software was applied for two-way clustering analysis and visualized analysis. Results： A total of 1472 journal articles with a key theme of nursing models were retrieved for final analysis, including 771 published during 2005-2009 and 701 during 2010-2014. The bibliometric analysis revealed that publications other than China concerning nursing models were mostly concentrated in the United States and the United Kingdom and that the number of relevant publications has been continuously decreasing. The two-way clustering analysis showed that there were mainly four types of research themes in the relevant publications in countries other than China during 2005-2009, i.e., nursing education and theoretical research, clinical nursing and psychological care, nursing administration, and models of nursing education, whereas there were five types during 2010-2014, i.e., nursing theories and clinical nursing practice, nursing administration models and assessments of nurses＇ knowledge and skills, community nursing administration models, nursing human resource management, and nursing education models and approaches. Conclusions： Research on nursing models in countries other than China is relatively mature and stable with a broader view, but it has shown a declining trend in recent years. It emphasizes both theory and practice, with research content tending to be structured into four modules, i.e., nursing education, administration, clinical practice, and theoretical research. Community nursing models may become a key research direction in the international research on nursing models in the future.
文摘Objective: To explore the effectiveness of applying patient simulators combined with Internet Plus scenario simulation teaching models on intravenous (IV) infusion nursing education, and to provide scientific evidence for the implementation of advanced teaching models in future nursing education. Methods: Enrolled 60 nurses who took the IV infusion therapy training program in our hospital from January 2022 to December 2023 for research. 30 nurses who were trained in traditional teaching models from January to December 2022 were selected as the control group, and 30 nurses who were trained with simulation-based teaching models with methods including simulated patients, internet, online meetings which can be replayed and scenario simulation, etc. from January to December 2023 were selected as the experimental group. Evaluated the learning outcomes based on the Competency Inventory for Nursing Students (CINS), Problem-Solving Inventory (PSI), comprehensive learning ability, scientific research ability, and proficiency in the theoretical knowledge and practical skills of IV infusion therapy. Nursing quality, the incidence of IV infusion therapy complications and nurse satisfaction with different teaching models were also measured. Results: The scientific research ability, PSI scores, CINS scores, and comprehensive learning ability of the experimental group were better than those of the control group (P 0.05), and their assessment results of practical skills, nursing quality of IV infusion therapy during training, and satisfaction with teaching models were all better than those of the control group with statistical significance (P < 0.05). The incidence of IV infusion therapy complications in the experimental group was lower than that in the control group, indicating statistical significance (P < 0.05). Conclusions: Teaching models based on patient simulators combined with Internet Plus scenario simulation enable nursing students to learn more directly and practice at any time and in any place, and can improve their proficiency in IV infusion theoretical knowledge and skills (e.g. PICC catheterization), core competencies, problem-solving ability, comprehensive learning ability, scientific research ability and the ability to deal with complicated cases. Also, it helps provide high-quality nursing education, improve the nursing quality of IV therapy, reduce the incidence of related complications, and ensure the safety of patients with IV therapy.
基金the receipt of financial support for this research from an internal granting institution.
文摘Purpose:This pilot study aimed to assess the reliability and validity of a modified Dundee Ready Educational Environment Measure(m-DREEM)tool used to evaluate the effects of different pedagogical approaches in a clinical learning environment on nursing students'learning perceptions.Methods:A sample consisting of 130 nursing students in two different models of clinical education was surveyed.Results:This pilot study demonstrated that m-DREEM yields a high internal consistency.This tool can be used to evaluate nursing students'perceptions of their clinical learning environment on the basis of five sub-scales:students'learning perceptions,facilitators,academic self-perception,atmosphere,social self-perception,and mentorship.Conclusion:A definitive and inferential relationship between sub-scales and clinical models,namely,block and non-block dispersed models,could not be determined because of the small sample size of the block clinical model.Hence,further research should be performed.
文摘Purpose:To analyze the role of the seminar teaching method+case-based learning(CBL)teaching method+problem-based learning(PBL)teaching method in oral clinical nursing teaching.Methods:13 undergraduate nursing students who entered the department from September 2020 to September 2021 were selected as the control group,adopting conventional nursing teaching methods;13 undergraduate nursing students who entered the department from September 2021 to August 2022 were selected as the observation group,adopting the seminar+CBL+PBL teaching method.The teaching effects were compared between the two groups.Results:All assessment scores of the observation group were higher than those of the control group;all teaching satisfaction levels were higher than those of the control group(P<0.05).Conclusion:Adopting the seminar+CBL+PBL teaching method during oral clinical nursing teaching can improve nursing students’assessment scores,strengthen their core competencies,and enhance teaching satisfaction.
文摘Objective:To explore the application of the Registered Nurses'Association of Ontario(RNAO)Best Practice Guideline(BPG)for Developing and Sustaining Nursing Leadership through the lens of nursing students transitioning from classroom learning to clinical practice.Through this reflection,the authors hope to inspire and empower future nursing leaders to champion innovation,resilience,and excellence in healthcare.Methods:By integrating evidence-based leadership principles,the authors reflect on their personal experiences,challenges,and successes in implementing these guidelines in real-world settings.Results:The paper highlights the significance of leadership in fostering healthy work environments and improving patient outcomes,emphasizing the role of nursing students as emerging leaders.Practical strategies for applying BPG,the RNAO BPG suggests leadership skills on professional development,and recommendations for embedding leadership principles into nursing education and practice are discussed.Conclusions:Implementing nursing leadership from the beginning of a nursing student's journey is vital for shaping the next generation of healthcare leaders.By integrating leadership principles early in nursing education,students can develop the skills needed to navigate clinical challenges,collaborate effectively with healthcare teams,and advocate for positive change.Starting with leadership guidelines in nursing school ensures that future nurses are equipped to foster supportive work environments,improve patient outcomes,and drive innovation from the very start of their careers,making leadership an inherent part of their professional identity.
文摘Background:The effective delivery of nursing care is crucial in hospital settings because it directly affects patient outcomes.However,nursing care can be missed because of various factors,including inadequate teamwork among nursing staff.Understanding the interplay between missed nursing care and nursing teamwork is essential for enhancing care quality in inpatient settings.This study therefore explored the relationship between missed nursing care and nursing teamwork among registered nurses in hospital inpatient units.Methods:A descriptive,correlational,cross-sectional study was conducted,involving 375 registered nurses from four hospitals in three healthcare sectors in Jordan.Missed nursing care and nursing teamwork were measured using the Missed Nursing Care Survey and the Nursing Teamwork Survey.Data collection occurred between September and October 2024,with con-venience sampling used for participant recruitment.Descriptive and inferential statistics,including mean,standard deviation,percentage,frequency,and Pearson's r correlation coefficient,were used to analyze the data.Results:The overall average missed nursing care score was 2.35 out of 5,suggesting that nursing care is rarely missed.The most frequently missed care activities reported by registered nurses included attending interdisciplinary care conferences,providing mouth care,and ambulating patients three times daily or as ordered.Activities least often missed included medi-cation administration within 30 min of the scheduled time,assessing vital signs as ordered,and performing patient assessments each shift.The overall mean score for nursing teamwork was 3.5 out of 5(standard deviation=1.06).There was a moderate but significant negative correlation between missed nursing care and nursing teamwork(r=−0.310,p<0.001).Conclusions:The results underscore the urgent need for targeted interventions to enhance resource allocation and teamwork,ultimately reducing missed nursing care and improving patient outcomes.Addressing these areas will foster a more effective healthcare system and enable nursing professionals to consistently deliver high-quality care.
文摘Objective:To explore the interventional room nursing and its application effects in patients with ischemic stroke treated with tirofiban combined with direct thrombectomy.Methods:A total of 61 patients with ischemic stroke admitted to our hospital from June 2024 to June 2025 were selected and divided into two groups using the red and blue ball method:the control group(n=30,receiving routine interventional room nursing)and the observation group(n=31,receiving additional tirofiban medication-specific nursing+individualized interventional nursing on the basis of routine nursing).The cerebral hemodynamic indicators,adverse reactions,effectiveness of complication nursing,and nursing satisfaction were compared between the two groups.Results:After 7 days of treatment,the observation group had lower cerebrovascular peripheral resistance and higher mean blood flow velocity and mean blood flow volume compared to the control group(all p<0.05).The observation group had a higher effectiveness rate of complication nursing than the control group,with a statistically significant difference(p<0.05).The nursing satisfaction in the observation group(96.77%)was higher than that in the control group(80.00%),with a statistically significant difference(χ^(2)=4.223,p=0.040<0.05).Conclusion:Tirofiban combined with direct thrombectomy can significantly improve cerebral hemodynamics,enhance the effectiveness of complication nursing,and increase patient satisfaction in patients with ischemic stroke.
文摘Frontiers of Nursing is a nursing academic journal,CN 14-1395/R,ISSN 2097-5368.Size A4,quarterly publication,color printing,public offerings at home and abroad which is managed by the First Hospital of Shanxi Medical University,sponsored by Shanxi Nursing Association and Shanxi Medical Periodical Press Co.,Ltd.Frontiers of Nursing has been indexed by databases including Scopus,Google Scholar,DOAJ,Baidu Scholar,CNKI,VIP,Wanfang,Chaoxing,and so on.
基金supported by Nursing and Midwifery Practice Development Unit(NMPDU),Dublin South,Kildare,and Wicklow,Nurses preparedness for end of life conversations(No.P210537)。
文摘Objective:Nurse-led virtual outpatient clinics are now a familiar component of healthcare delivery across many disciplines,including cancer care,or thopedics,rheumatology,and gastroenterology.However,establishing a nurse-led vir tual clinic is challenging for nursing management,par ticularly regarding resources.We aimed to investigate nursing practices and processes and patient experiences in relation to vir tual outpatient clinics.Methods:This was a cross-sectional,descriptive study using mixed data collection methods.Patients(n=324)from 4 specialist clinics completed the Virtual Clinics Patient Satisfaction Questionnaire(VCSQ)survey.Five Nurse Specialists participated in a focus group interview.Results:Most participants(86.3%)reported being satisfied/very satisfied with the virtual clinics,particularly those that were nurse-led.Nurse specialists identified electronic health records(EHRs)and additional IT and administrative support as important for efficiency and effectiveness of the clinics.Conclusions:Nurse-led virtual clinics can be an effective and efficient way to provide care to patients.Nurse managers need to ensure supportive structures are in place,for example,dedicated administrators,IT support and infrastructure,education/training,and relevant policies/procedures.The success of nurse-led virtual services requires key infrastructure to support nursing staff and sustain this service.
基金Science and Technology Support Program Project of Baoding City,Hebei Province(Project No.:2541ZF107)。
文摘Objective:To analyze the application effectiveness of the integrated medical-nursing comprehensive care model in cases of cerebral infarction and clarify its clinical practical value for the patient rehabilitation process.Methods:A total of 60 patients with cerebral infarction admitted from June 2024 to December 2024 were selected as the research subjects and randomly divided into a control group and a research group,with 30 cases in each group.Patients in the control group received routine clinical nursing measures,while those in the study group underwent collaborative healthcare intervention in addition to routine nursing.The intervention included joint disease assessment,personalized rehabilitation training guidance,psychological counseling,and continuous nursing services after discharge.A comparative study was conducted by evaluating indicators such as the scores on adverse emotion scales,the extent of neurological recovery,the effectiveness rate of clinical rehabilitation treatment,and the level of satisfaction with nursing services between the two groups.Results:After the intervention,the scores on the Self-Rating Anxiety Scale(SAS)and the Self-Rating Depression Scale(SDS)in the study group decreased to(40.12±5.01)and(41.36±5.20),respectively,both significantly lower than those in the control group,which were(47.36±5.82)and(48.95±5.63),respectively.The differences between the two groups were statistically significant(p<0.05).The improvement in the neurological deficit scores of patients in the study group reached(9.18±2.04),higher than that in the control group,which was(5.17±1.82)(p<0.05).The overall clinical rehabilitation effectiveness rate in the study group was 93.3%,significantly higher than that in the control group,which was 73.3%.The satisfaction rate with nursing services in the study group reached 96.7%,also higher than that in the control group,which was 83.3%.The differences between the two groups were statistically significant(p<0.05).Conclusion:The integrated healthcare nursing model can effectively alleviate adverse emotional states in patients with cerebral infarction,facilitate the repair and reconstruction of neurological function,improve the effectiveness of clinical rehabilitation treatment and satisfaction with nursing services,and thus holds high value for clinical promotion and application.
基金Hospital Quality Management Research Fund Project of China Medical Quality Management Association(Project No.:YLZG202511)。
文摘Objective:To explore the impact of evidence-based predictive nursing intervention on psychological stress and physiological indicator stability of elderly cataract patients during the perioperative period(1 day before surgery to 1 day after surgery),and to provide a basis for optimizing clinical nursing plans for elderly cataract surgery.Methods:A retrospective selection of 90 elderly patients(aged≥60 years)who underwent cataract surgery in the Ophthalmology Department of our hospital from August 2024 to December 2024 was conducted.They were divided into an observation group(n=45)and a control group(n=45)using a random number table method.The control group received routine nursing for cataract surgery,while the observation group implemented evidence-based predictive nursing intervention(including the establishment of a multidisciplinary evidence-based team,hierarchical psychological intervention,perioperative environment optimization,intraoperative personalized cooperation,and video-based health education).Psychological stress indicators[Self-Rating Anxiety Scale(SAS),Self-Rating Depression Scale(SDS),General Self-Efficacy Scale(GSES)]on the 1st day before surgery and 1st day after surgery,and fluctuations of physiological indicators[Heart Rate(HR),Systolic Blood Pressure(SBP),Diastolic Blood Pressure(DBP)]on the 1st day before surgery and during surgery were compared between the two groups.Results:Before intervention,there were no statistically significant differences in SAS,SDS,GSES scores,HR,SBP,or DBP between the two groups(p>0.05);after intervention,the SAS score(33.62±5.72)and SDS score(32.14±4.86)of the observation group on the 1st day after surgery were significantly lower than those of the control group[(41.05±5.56),(43.59±4.75)],and the GSES score(31.15±3.28)was significantly higher than that of the control group(24.84±3.52)(all p<0.05);during surgery,the fluctuations of HR(74.0±6.0)beats/min,SBP(127.0±15.8)mmHg,and DBP(75.0±5.9)mmHg in the observation group were significantly smaller than those in the control group(all p<0.05).Conclusion:Evidence-based predictive nursing intervention can effectively alleviate anxiety and depression in elderly cataract patients during the perioperative period,improve self-efficacy,stabilize intraoperative physiological status,and enhance surgical cooperation,which is worthy of clinical promotion.
基金supported by the National Key R&D Program of China[2022YFF0902703]the State Administration for Market Regulation Science and Technology Plan Project(2024MK033).
文摘Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interactions to predict future items of interest.However,many current methods rely on unique user and item IDs,limiting their ability to represent users and items effectively,especially in zero-shot learning scenarios where training data is scarce.With the rapid development of Large Language Models(LLMs),researchers are exploring their potential to enhance recommendation systems.However,there is a semantic gap between the linguistic semantics of LLMs and the collaborative semantics of recommendation systems,where items are typically indexed by IDs.Moreover,most research focuses on item representations,neglecting personalized user modeling.To address these issues,we propose a sequential recommendation framework using LLMs,called CIT-Rec,a model that integrates Collaborative semantics for user representation and Image and Text information for item representation to enhance Recommendations.Specifically,by aligning intuitive image information with text containing semantic features,we can more accurately represent items,improving item representation quality.We focus not only on item representations but also on user representations.To more precisely capture users’personalized preferences,we use traditional sequential recommendation models to train on users’historical interaction data,effectively capturing behavioral patterns.Finally,by combining LLMs and traditional sequential recommendation models,we allow the LLM to understand linguistic semantics while capturing collaborative semantics.Extensive evaluations on real-world datasets show that our model outperforms baseline methods,effectively combining user interaction history with item visual and textual modalities to provide personalized recommendations.
基金supported by the National Natural Science Foundation of China(32471964)。
文摘The collection and annotation of lar ge-scale bird datasets are resource-intensive and time-consuming processes that significantly limit the scalability and accuracy of biodiversity monitoring systems.While self-supervised learning(SSL)has emerged as a promising approach for leveraging unannotated data,current SSL methods face two critical challenges in bird species recognition:(1)long-tailed data distributions that result in poor performance on underrepresented species;and(2)domain shift issues caused by data augmentation strategies designed to mitigate class imbalance.Here we present SDNet,a novel SSL-based bird recognition framework that integrates diffusion models with large language models(LLMs)to overcome these limitations.SDNet employs LLMs to generate semantically rich textual descriptions for tail-class species by prompting the models with species taxonomy,morphological attributes,and habitat information,producing detailed natural language priors that capture fine-grained visual characteristics(e.g.,plumage patterns,body proportions,and distinctive markings).These textual descriptions are subsequently used by a conditional diffusion model to synthesize new bird image samples through cross-attention mechanisms that fuse textual embeddings with intermediate visual feature representations during the denoising process,ensuring generated images preserve species-specific morphological details while maintaining photorealistic quality.Additionally,we incorporate a Swin Transformer as the feature extraction backbone whose hierarchical window-based attention mechanism and shifted windowing scheme enable multi-scale local feature extraction that proves particularly effective at capturing finegrained discriminative patterns(such as beak shape and feather texture)while mitigating domain shift between synthetic and original images through consistent feature representations across both data sources.SDNet is validated on both a self-constructed dataset(Bird_BXS)an d a publicly available benchmark(Birds_25),demonstrating substantial improvements over conventional SSL approaches.Our results indicate that the synergistic integration of LLMs,diffusion models,and the Swin Transformer architecture contributes significantly to recognition accuracy,particularly for rare and morphologically similar species.These findings highlight the potential of SDNet for addressing fundamental limitations of existing SSL methods in avian recognition tasks and establishing a new paradigm for efficient self-supervised learning in large-scale ornithological vision applications.
文摘Objective:To analyze the impact of nursing interventions based on quantitative assessment using the Kano model on the quality of rehabilitation in patients with early-stage ovarian cancer following laparoscopic radical surgery.Methods:A prospective clinical study was conducted involving 96 patients with newly diagnosed early-stage ovarian cancer who underwent laparoscopic radical surgery from December 2023 to December 2025.Patients were randomly assigned to groups using a random number table method before surgery.After surgery,the control group(n=48)received routine quantitative assessment nursing interventions,while the observation group(n=48)received nursing interventions based on quantitative assessment using the Kano model.Both groups received continuous nursing care until discharge.Differences between the groups were compared in terms of negative emotions,quality of life scores before and after postoperative intervention,postoperative recovery indicators,and nursing satisfaction evaluations on the day of discharge.Results:After intervention,the observation group had lower scores on the Self-Rating Anxiety Scale(SAS)and Self-Rating Depression Scale(SDS),as well as shorter recovery times for gastrointestinal function and food intake,and a shorter hospital stay compared to the control group.Additionally,the observation group had higher scores on the Quality-of-Life Instrument for Cancer Patients-Ovarian Cancer(QLICP-OV)than the control group,with statistically significant differences(p<0.05).The overall satisfaction with nursing care in the observation group was also higher than that in the control group,with a statistically significant difference(p<0.05).Conclusion:Implementing quantitative evaluation nursing interventions based on the Kano model for patients with early-stage ovarian cancer after laparoscopic radical surgery can,by addressing their postoperative basic health,disease awareness,and other intervention content needs to a comprehensive degree,actively promote postoperative recovery and improve their mental health and quality of life.
基金funded by the Program of China Scholarships Council(No.202206785007)“Four New”Experimental Teaching Curriculum Reform Project of Jinan University in China(SYJG202235),the Teaching QualityTeaching Reform Project of Undergraduate University of Guangdong in China(2020).
文摘MASLD in China:an under-recognized public health problem Epidemic characteristics of metabolic dysfunction-associated steatotic liver disease(MASLD)in China As one of the most common chronic non-infectious liver diseases,metabolic dysfunction-associated steatotic liver disease(MASLD),previously known as non-alcoholic fatty liver disease(NAFLD),affects one quarter of the world’s population,is closely related to diabetes and obesity[1,2].
文摘Recently,inflammatory cytokine profiles have been linked to suicide risk in adolescents with non-suicidal self-injury,highlighting a promising biological dimension of suicide risk assessment.Clinical translation of the cytokine profiles into practice will require frontline engagement of the workforce.Mental health nurses are frequently the most accessible professionals in schools,communities,and low-resource settings and are prime candidates to bridge this gap.By integrating psychosocial evaluation with emerging biomarker data,they can deliver systematic risk assessment,continuous monitoring,and timely intervention.This role would not replace psychiatric expertise;it would extend the reach of psychiatric services,embedding suicide prevention across the continuum of care.For health systems,nurse-led integration may enhance capacity,equity,and resilience in responding to adolescent suicide risk.This editorial demonstrates that empowering nurses to operationalize biomarker-informed strategies is needed for advancing effective and sustainable suicide prevention in this vulnerable population.
