Health, Medicine and Therapeutics ISSN Print: 3079-5079 ISSN Online: 3079-5087
SWOT Analysis and Optimization Path Research on the Integrated Development of Sports and Tourism in Xinyang City
As China enters a new development stage, people’s demands have shifted from basic subsistence needs to high-quality pursuits of physical and mental well-being and emotional satisfaction. The in-depth integration of sports and tourism serves as a vital approach to meet people’s aspirations for a better life and advance the green transformation of regional economy, embracing unprecedented development opportunities. Located at the junction of Hubei, Henan and Anhui provinces and south of the Huaihe River, Xinyang boasts distinctive landscape ecology and red cultural resources, owning innate advantages for sports-tourism integration. Relevant studies dated back to 2011 defined sports tourism as an integrated industry of sports and tourism, featuring diversified participation motivations and experiences, which lays a solid theoretical foundation for this research. Adopting literature review, questionnaire survey and SWOT analysis, this paper explores the current development of sports-tourism integration in Xinyang. The results show that the city has superior ecological endowments, profound red culture, favorable geographical transportation conditions and improving sports facilities. Nevertheless, it faces drawbacks including small industrial scale, homogeneous products, shortage of professionals and insufficient publicity.Favorable national policies, booming health consumption demand, regional coordinated development momentum and rural revitalization strategy bring huge opportunities. Meanwhile, growing regional competition, ecological protection pressure, immature market system and unexpected risks pose potential threats. Corresponding optimization strategies are proposed accordingly. This study offers references for high-quality sports-tourism integrated development in Xinyang and similar regions.
Copyright (c) 2026 by author(s) and Erytis Publishing Limited https://creativecommons.org/licenses/by-sa/4.0
Personalized Service Prediction Models: From Tourist Behavior to Patient Stratification
Personalized service prediction models have become central to intelligent service systems across multiple domains. This study examines how personalization functions in tourism and healthcare management to demonstrate that user segmentation, behavior prediction, service recommendation, adaptive delivery, and feedback learning are grounded in service science rather than in domain-specific medical logic. Drawing on real-world datasets from tourism platforms and healthcare systems, the analysis shows that both tourist profiling and patient stratification rely on the same methodological structure: integrating user data, modeling individual needs, and customizing service delivery. The findings indicate that personalized prediction models enhance service relevance, user satisfaction, resource efficiency, and overall experience quality in both contexts. In tourism, personalization improves destination matching, itinerary design, and dynamic service offers. In healthcare management, stratification supports targeted service pathways, adaptive care intensity, and efficient resource allocation. Despite differences in data content and institutional environments, the functional roles of personalization remain structurally consistent. By framing personalization as a service system logic, this study positions healthcare as one application case rather than the conceptual core of personalization research. Tourism and digital service platforms represent the methodological origins of many personalization techniques. The results highlight that personalized prediction models operate as service science tools that augment human decision-making, strengthen governance, and support intelligent service design across domains. Overall, the study contributes to service science and AI management research by clarifying the cross-domain transferability of personalization logic and by demonstrating how intelligent service systems use predictive models to deliver customized, efficient, and trustworthy services.
CDO-VIB DenseNet: An Improved DenseNet-121 Network for Multi-Label Chest X-ray Disease Classification
Multi-label chest X-ray classification is challenging because multiple diseases may appear simultaneously, abnormal regions are often subtle, and class distributions are strongly imbalanced. This paper proposes CDO-VIB DenseNet, an improved DenseNet-121 network for ChestX-ray14 classification. The model introduces Dense Squeeze-and-Excitation channel recalibration, Asymmetric Convolution Blocks, and a Class-Decoupled Orthogonal Variational Information Bottleneck head with evidential prediction. Based on available ROC screenshots, the macro-average AUC improves from 0.79 for the DenseNet-121 baseline to 0.81 for the proposed model. The results indicate that disease-specific attention, variational representation compression, and orthogonal global-local fusion are effective for multi-label radiographic classification.
Text-Guided Modulation and Boundary-Aware Refinement for Vision-Text COVID-19 CT Lesion Segmentation
Accurate COVID-19 CT lesion segmentation is challenged by weak boundaries and variable lesion appearance. This paper investigates two enhancement strategies built upon a clean LViT/VT-MFLV baseline: Multi-scale Text-Guided Modulation (MTGM) and Boundary Context Auxiliary Learning (BCA). MTGM converts clinical text embeddings into residual channel gates, while BCA introduces boundary supervision and inference-active boundary-guided feature refinement. On MosMedData+, the clean baseline obtains 0.7318 Dice and 0.5996 IoU. The best evaluated variant, BCA-v2, reaches 0.747385 Dice and 0.613327 IoU. The experiments show that boundary-guided decoder refinement is more effective than training-only boundary supervision, while text-gate placement requires careful scale selection.
BIM-Based Whole Life Cycle Engineering Management of Smart Hospital Construction Projects
Smart hospitals integrate medical equipment, information systems and clean medical spaces, featuring complex construction processes and numerous cross-disciplinary interfaces. Conventional segmented engineering management is plagued by prominent problems including information fragmentation, cost overruns and disconnected handover between construction and operation phases. To realize integrated management covering the design, construction, completion acceptance and operation & maintenance stages of smart hospital projects, this paper takes the whole-life-cycle management theory and digital collaborative theory as the theoretical framework. Adopting methods of literature review, field investigation and case analysis, this study sorts out the management pain points in each phase of smart hospital construction projects and analyzes the underlying organizational, technical and institutional root causes. A BIM-based whole-life-cycle engineering management system is established from three dimensions: organizational structure, phased BIM implementation procedures and digital collaborative platforms. The implementation roadmap is clarified, including prepositive modeling of medical processes in the design phase, 4D/5D control during construction, digital delivery upon completion, and data linkage between BIM models and medical systems in the operation & maintenance phase. Multi-layer guarantee countermeasures covering organization, technology, institution, talent and policy are proposed. The research results demonstrate that the full-cycle BIM management system can reduce design changes of special medical engineering works, shorten construction periods and cut long-term operation and maintenance costs. This study fills the research gap in full-process digital management of medical buildings, and provides theoretical references and practical schemes for digital engineering management of similar smart hospital projects.
Research Progress on Cereal Consumption and Cardiovascular Health in Diabetic Patients
This review examines the impact of cereal consumption on cardiovascular health in patients with diabetes. Current evidence indicates that whole cereals and low-processed, high-fiber cereals can reduce cardiovascular risk by improving glycemic control, lipid metabolism, inflammation, endothelial function, and gut microbiota composition. In contrast, refined cereals and high-glycemic, highly processed cereal products may exacerbate postprandial hyperglycemia, insulin resistance, dyslipidemia, and metabolic stress, thereby increasing cardiovascular burden. Dietary recommendations for patients with diabetes should emphasize the substitution of low-processed whole cereals for refined cereals rather than simply increasing total cereal intake. Future research should further clarify the long-term cardiovascular outcomes associated with specific cereal subtypes and support more individualized dietary strategies.
Exploring the Role of English Proficiency in Improving Cross-Cultural Nursing Management and Patient Outcomes
This study aimed to examine the role of English proficiency in improving cross-cultural nursing management and patient outcomes among nurses working in multicultural healthcare settings. Specifically, it investigated the relationship between English proficiency, cross-cultural nursing management practices, and patient outcomes. A quantitative descriptive-correlational research design was employed. Data were collected from registered nurses using a structured questionnaire that assessed English proficiency (reading, writing, speaking, and listening), cross-cultural nursing management practices, and patient outcomes. Descriptive statistics and inferential statistical analyses were used to determine the levels of the variables and examine the relationships among them. The findings revealed that the respondents demonstrated a generally high level of English proficiency and cross-cultural nursing management practices. Patient outcomes were also rated at a high level. Statistical analysis showed significant positive relationships between English proficiency and cross-cultural nursing management, between English proficiency and patient outcomes, and between cross-cultural nursing management and patient outcomes. These findings suggest that nurses with higher English proficiency are more effective in communication, leadership, care coordination, and culturally competent practice, ultimately contributing to better patient outcomes. The study concludes that English proficiency is an essential professional competency in multicultural healthcare environments. Strengthening English communication skills through nursing education and continuous professional development can enhance cross-cultural nursing management and improve patient safety and quality of care.
Research on the Application of Three-dimensional Anatomical Technology in Plastic Surgery Teaching
Three-dimensional (3D) anatomical technology is progressively transforming the conventional teaching paradigm of plastic surgery. This study systematically explores its integration pathways and application efficacy in teaching. First, the paper elaborates on the principles of 3D reconstruction and visualization techniques, relevant software-hardware platforms, and the construction workflow of digital anatomical models. It further analyzes the inherent complexities of anatomical teaching in plastic surgery and the limitations of traditional teaching modalities. By developing hierarchical anatomical teaching modules, 3D demonstration of neurovascular structures, and virtual simulation of surgical approaches, integration strategies for theoretical instruction are proposed. From a practical perspective, a training framework combining 3D anatomical learning with cadaveric specimen dissection, individualized case-based teaching, and a standardized operative assessment system is established. Teaching outcome evaluations demonstrate marked improvements in students’ spatial cognition and comprehension of surgical design, providing a feasible reform blueprint for plastic surgery education.
Clinical Effect Analysis of Digital Guide-Assisted Accurate Bracket Positioning in Orthodontic Patients: A Prospective Randomized Controlled Trial
Precise bracket placement is foundational to fixed orthodontic therapy, yet conven-tional direct bonding is limited by restricted intraoral access and visual estimation errors. This prospective, single-center, parallel-group randomized controlled trial enrolled 80 adolescent patients aged 12–18 years and compared a CAD/CAM digi-tal positioning guide (DG) workflow with conventional direct bonding (CDB). Par-ticipants were randomized 1:1 using a computer-generated sequence stratified by Angle classification and age cohort. The primary outcome was mean three-dimensional Euclidean deviation between planned and actual bracket cen-troid positions, assessed by post-bonding intraoral scan superimposition. Second-ary outcomes included arch bonding time, positional-error archwire adjustments, estimated active treatment duration, and patient-reported discomfort on a 100-mm visual analogue scale (VAS). The DG group achieved significantly lower mean overall positional deviation (0.31 ± 0.12 mm) vs. the CDB group (0.74 ± 0.21 mm; p*< 0.001; Cohen's d= 2.49). Mean arch bonding time was reduced by 18.5% in the DG group (27.4 ± 4.1 min vs. 33.6 ± 5.3 min; p< 0.001). Positional-error archwire adjustments were substantially fewer in the DG group (0.4 ± 0.6 vs. 2.1 ± 0.9 per patient; p< 0.001). Estimated active treatment duration was 2.6 months shorter for DG patients. VAS discomfort scores did not differ significantly between groups. Dig-ital guide-assisted bracket placement achieves substantially superior three-dimensional accuracy and enhances bonding efficiency in adolescent ortho-dontic patients without increasing procedural discomfort, supporting its adoption as a precision complement to contemporary digital orthodontic workflows.
Research Progress on the Effects and Mechanisms of Curcumin Against Breast Cancer
Curcumin is a natural lipophilic polyphenolic compound extracted and isolated from the dried rhizome of Curcuma longa L., a plant of the genus Curcuma in the family Zingiberaceae. It exhibits a variety of pharmacological activities, including anti-inflammatory, antioxidant, immunomodulatory, and antitumor effects, and has shown significant application value in the adjuvant treatment of various diseases. In recent years, the potential of curcumin in the field of oncology has attracted considerable attention. Studies have confirmed that curcumin possesses significant therapeutic potential against breast cancer, playing important roles in multiple key biological processes such as inhibiting cell proliferation, inducing apoptosis, blocking invasion and metastasis, suppressing angiogenesis, and regulating the tumor immune microenvironment. This article systematically reviews relevant domestic and international literature to summarize the research progress on the effects and mechanisms of curcumin against breast cancer, aiming to provide a reference for further research on curcumin and the development of novel anti-breast cancer drugs.
Copyright (c) 2026 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
10-Gene Prognostic Signature and Subtypes of Colon Adenocarcinoma via Multi-algorithm Consensus Learning
Colon adenocarcinoma (COAD) exhibits profound molecular heterogeneity and limited targeted therapy options, necessitating precision medicine strategies based on tumor molecular profiles to improve advanced disease outcomes. Leveraging multi-omics data from TCGA-COAD, we integrated ten clustering algorithms with ten machine learning methods to develop a CMLS prognostic model. Multi-omics clustering stratified COAD into four subtypes, with CS2 demonstrating optimal survival. The ten-gene CMLS signature (GDI1, CLK1, SEMA4C, RBP7, HSPA1A, CALB2, DCBLD2, ITLN1, ATOH1, UQCRC1) enabled risk stratification by median scores, revealing superior survival. This study provides a valuable supplementary approach for the precise management of COAD, which is expected to enrich current clinical decision-making strategies.
Current Status and Countermeasures Research on Psychological Anxiety Among Older Adults in China
Against the backdrop of population aging and the Healthy China initiative, this paper examines psychological anxiety among older adults in China. Current anxiety in this population is highly prevalent, complex, and latent, driven by multiple factors including economic status, health, social environment, institutional systems, and culture. Key challenges involve insufficient institutional safeguards, inadequate elderly care and social services, misconceptions in public awareness, and limited family support. Therefore, it is essential to strengthen top-level design, develop a multi-level elderly care and social support system, promote the integration of medical and care services, foster a positive aging culture, and enhance both the self-regulation abilities of older adults and the supportive capacity of families. These efforts aim to promote mental health in later life and advance active aging.
Analysis of the current status and influencing factors of cardiovascular health in children and adolescents
The pathological origin of cardiovascular disease (CVD) can be traced back to children and adolescents. The younger age and prevalence of its risk factors have become a global public health challenge. This paper systematically analyzes the current severe situation of cardiovascular health in children and adolescents, and points out that obesity, unhealthy lifestyle and health inequality are increasingly prominent, while the traditional prevention and control system has obvious limitations in dynamic risk assessment, multi-source data integration and cross sectoral collaboration. In order to meet these challenges, this paper proposes an innovative path based on artificial intelligence (AI) and multimodal data fusion. By constructing a dynamic risk profile, developing interpretable AI decision support, establishing a "school family community medical" collaborative intervention network, and improving the ethics and privacy protection framework, this paper promotes the transformation of health management to intelligent, accurate and systematic. However, the system still faces multiple challenges such as data barriers, technology transformation, collaborative mechanism and ethical regulation. In the future, it needs to rely on multidisciplinary collaboration and cross sectoral linkage to provide theoretical basis and practical direction for the early prevention and control of cardiovascular health in children and adolescents.
Safety and Operability Assessment of a Terminal-Loop Flow Diverter in a Canine Intracranial Aneurysm Model
Objective: This study aims to evaluate the safety and operability of a self-developed terminal-loop flow diverter following short-term implantation (preoperative, postoperative, and 90-day follow-up) in a beagle intracranial aneurysm model. Specifically, the investigation focuses on whether the device can be delivered, deployed, and visualized effectively during surgery, and whether it induces any adverse effects on coagulation function, histopathology, or general health within the 90-day observation period. Method: The protocol employed a self-controlled design. Six healthy beagles were selected, with the control device implanted in the left carotid artery and the test device implanted in the right carotid artery. Data were collected at three time points: pre-operatively, immediately post-operatively, and 90 days post‑operatively, using methods including digital subtraction angiography, hematological analysis, and histopathological examination. The objective was to evaluate device-related vascular complications, local tissue response, and biocompatibility.All experimental animals were subjected to a self-controlled study design, with angiographic assessments performed preoperatively, immediately postoperatively, and at the study endpoint (90 days post-implantation). Immediate postoperative DSA demonstrated clear fluoroscopic visualization of the device, with successful implantation and deployment and no occurrence of vascular complications; follow-up angiography at 90 days post-implantation confirmed sustained clear device visibility and the absence of vascular complications. Operability was evaluated based on the following parameters recorded during the implantation procedure: overall handling, deployment performance, fluoroscopic visibility, Trackability, Shape retention and Vessel wall apposition. Results: In the 90-day follow-up, all animals survived without serious complications. Immediate and 90-day DSA confirmed clear fluoroscopic visualization of the terminal-loop flow diverter, with successful implantation and no vascular injury. Coagulation function analysis showed a significant increase in fibrinogen at 90 days (p=0.023), a transient rise and fall in thrombin time (p=0.020), and a significant quadratic trend in INR (p=0.036), while APTT and PT remained stable. Histopathology revealed mainly moderate degeneration in major organs, with no severe adverse changes. Operability assessment indicated that the test device was comparable to the control in overall handling, deployment, and fluoroscopic visibility, with slightly better shape retention, though trackability was superior for the control. The implantation procedure was smooth, and the test device met surgical requirements
Integrating Digital Health Technologies into Nursing Management: A Framework for Enhancing Patient Safety and Healthcare Efficiency
The escalating integration of digital health technologies (DHTs) into healthcare necessitates a strategic approach to nursing management to optimize patient safety and enhance healthcare efficiency. This research addresses the critical need for a comprehensive framework to guide nursing leaders in effectively embedding DHTs, including electronic health records, telehealth, remote patient monitoring, and artificial intelligence, into clinical practice. The study identifies key components and principles for a successful integration framework, analyzes the impact of various DHTs on patient safety indicators and efficiency metrics, and delineates effective implementation and adoption strategies. Utilizing a mixed-methods approach, the research synthesizes existing literature with an analysis of current practices and expert interviews to develop actionable recommendations. Findings highlight the importance of user-centered design, robust nurse training, seamless interoperability, and proactive change management in maximizing DHT benefits while mitigating risks such as data breaches and increased cognitive load. The developed framework provides nursing managers with a structured roadmap for systematically assessing, selecting, implementing, and evaluating DHTs, thereby fostering a culture of continuous improvement and digital innovation. This work contributes to bridging the gap between technological advancements and practical nursing management, offering essential insights for healthcare organizations aiming to leverage digital transformation for improved patient outcomes and operational effectiveness.
Effectiveness Of Online Health Education (OHE) On Infectious Disease Knowledge And Pregnancy Anxiety In First-Time Pregnant Women During The Post-Pandemic Period
Background: The proportion of pregnant women with anxiety-related symptoms during the COVID-19 pandemic increased. Most pregnant women hope to receive online health education (OHE) through hospitals to know more about COVID-19-related knowledge, so as to maintain their health. Purpose: The purpose of this study was to investigate the effectiveness of online health education (OHE) on COVID-19 knowledge and pregnancy anxiety among first-time pregnant women during the post-pandemic period. Methods: A quasi-experimental, non-equivalent group, pre-test and post-test design was adopted. 70 qualified subjects were purposefully recruited from the obstetrics clinic of a tertiary hospital. The experimental group was given OHE online, while the control group only received routine health education from physicians and nurses during prenatal check-ups. Both groups were given the Questionnaire on Knowledge toward COVID-19, Corona Disease Anxiety Scale (CDAS)-Modified before and after the intervention. Result: After OHE, the knowledge of COVID-19 in the experimental group was significantly improved (p≤0.05), and the anxiety during pregnancy was also significantly relieved (p≤0.05). The improvement of pregnancy anxiety in the experimental group was significantly better than that in the control group.
Artificial Bionic Blood Vessel and Manufacturing Method
Objective: This study provides an artificial bionic blood vessel and a manufacturing method thereof, which includes a three-layer artificial bionic blood vessel body, wherein the three-layer structure of the artificial bionic blood vessel is a natural silk layer, a diluted liquid silicone layer and a braided tube layer, wherein the diluted liquid silicone layer is located on the inner side of the natural silk layer, and the braided tube layer is located on the outer side of the natural silk layer. Materials and Methods: The braided tube layer is made of catgut braiding. Artificial bionic blood vessels are mainly composed of animal tissues and natural organisms. They will not have side effects on body functions and are easily absorbed by the body. Fish skin glue oligopeptide coatings are distributed at the joints of bionic blood vessels to promote blood vessel regeneration. Discussion: The outermost layer is a superfine catgut braided tube. After a period of artificial blood vessel replacement, the catgut braided tube will be absorbed and covered by the regenerated blood vessels. Conclusion: The material design system that introduces artificial intelligence is different from the traditional, rigid design thinking.
The Association Between Professional Burnout and Empathetic Exhaustion Among Emergency Department Nurses: An Intervention Approach Based on the Embeddedness Theory
Background: Emergency department nurses, operating within a demanding environment, face significant psychological risks, including professional burnout and empathy exhaustion, which often co-occur and exacerbate each other. Current interventions overwhelmingly target individual nurses, such as through resilience training, while neglecting systematic, organizational-level solutions. Objective: This study proposes an organizational intervention framework grounded in Work Embeddedness Theory. By integrating principles from Conservation of Resources Theory and Empathy Cost Theory, it aims to develop a practical pathway for nursing managers to address the dual crises of burnout and empathy depletion at their systemic roots. Method: Employing a theory-driven design, we constructed a core intervention logic: enhancing organizational embeddedness (via connection, matching, and sacrifice) → supplementing psychological resources → improving mental health outcomes. Empathy Cost Theory was specifically incorporated to fortify interventions within the “connection” dimension. Concrete modules, steps, and mechanisms were delineated for each dimension, forming a structured organizational pathway. Results: We developed an integrated intervention pathway featuring three modules and six specific measures: (1) Strengthening Connection (structured buddy systems; post-traumatic debriefings) to build support networks; (2) Optimizing Match (dynamic skill-task alignment; values clarification workshops) to enhance control and meaning; (3) Increasing Sacrifice (tiered honor/benefit systems; visualizing exit costs) to foster commitment. Each measure’s implementation protocol and theoretical rationale are specified. Conclusion: This study provides a theoretically grounded, actionable organizational intervention pathway. It shifts the management paradigm from repairing individuals to designing supportive systems, offering a blueprint for creating work environments that intrinsically protect and replenish nurses’ psychological resources.
A Literature Review on Factors Influencing Cesarean Section, Postoperative Pain, and Nursing Interventions
Currently, the cesarean section rate continues to rise globally, with its influencing factors and postoperative health outcomes becoming key focuses of public health and clinical attention. This review aims to systematically examine the status of postoperative incision pain following cesarean delivery, its impact on maternal quality of life, the effectiveness of nursing interventions, and to identify future research directions.
Copyright (c) 2025 by author(s) and Erytis Publishing Limited. https://creativecommons.org/licenses/by-sa/4.0
Research on Speech Rehabilitation Assessment Models Based on Natural Language Processing
Artificial intelligence technologies present new developmental opportunities within the medical rehabilitation field. Addressing challenges in speech rehabilitation assessment—such as inefficient manual evaluation and inconsistent standards—this paper designs an intelligent assessment model grounded in deep learning. Employing a hybrid CNN+BiLSTM+Attention architecture, the model achieves multidimensional feature extraction and analysis of speech signals, establishing an evaluation system covering dimensions such as articulation, fluency, and prosody. Clinical validation demonstrates that this model significantly enhances assessment efficiency and accuracy, providing effective technical support for speech rehabilitation training.
Structural Biology: Deciphering the Atomic Blueprint of Protein Function
Proteins, as the primary executors of life activities, derive their complex and diverse functions directly from their precise three-dimensional spatial configurations. Structural biology, a discipline dedicated to elucidating the three-dimensional atomic structures of biological macromolecules and interpreting their functions, serves as a crucial bridge connecting genetic sequences with biological phenomena. This article systematically reviews the fundamental principle of structural biolo-gy—"structure determines function"—and elaborates on the primary methodolo-gies, including X-ray crystallography, nuclear magnetic resonance spectroscopy, and cryo-electron microscopy, employed to acquire protein structural information. Fur-thermore, it delves into how these structural insights unveil the molecular mecha-nisms underlying essential biological processes such as enzyme catalysis, signal transduction, immune recognition, and membrane transport at the atomic level. Special emphasis is placed on the relationship between protein dynamics and func-tional realization, as well as the core principle of allosteric regulation. Finally, the article envisions how artificial intelligence and in situ technologies are propelling our understanding of protein function to new heights in the era of integrative struc-tural biology. This study aims to underscore that structural biology is not only cen-tral to fundamental science but also a fundamental force in understanding disease mechanisms and driving drug development.
MeridianFM: A Causal and Safe Foundation Model for Personalizing Traditional Chinese Medicine Therapies
Nonpharmacological therapies like acupuncture, gua sha, and cupping are gaining prominence in integrative medicine, yet their application lacks data-driven personalization and rigorous safety assurances. This paper introduces MeridianFM, a causal and safe multimodal foundation model framework designed to generate personalized prescriptions for these therapies. MeridianFM integrates four key innovations: (1) a meridian-aware graph neural network that encodes the topological and semantic properties of acupoints; (2) a self-supervised multimodal architecture that fuses physiological time series, thermal imagery, electronic health records, and patient-reported outcomes; (3) a causal inference layer employing doubly robust estimation and front-door adjustment to mitigate confounding in observational data and estimate individualized treatment effects; and (4) a constrained reinforcement learning policy optimized with risk-sensitive objectives (Conditional Value-at-Risk) and a mixed-integer programming post-processor to enforce clinical safety and feasibility constraints. To ensure reproducibility, we provide a comprehensive evaluation suite based on synthetic and semi-synthetic data, including all source code. Our experiments demonstrate that MeridianFM surpasses baseline models in optimizing treatment policies, accurately estimating causal effects, and adhering to safety constraints. While this study establishes methodological feasibility and superior performance in simulated environments, it also lays the groundwork for future clinical validation, representing a significant step toward AI-driven precision in traditional medicine.
Exploring the Primary Models and Their Efficacy of Health Education in Universities in the Zhanjiang Area During the Post-COVID-19 Era
Objective To explore the main models and effects of health education in under-graduate colleges in the post COVID-19 era in Zhanjiang. Method: Randomly se-lect 2000 second year students from two universities in Zhanjiang area to con-duct a questionnaire survey on the health education mode; Randomly select 600 students and divide them into three groups. Each group will receive training on a health education model. Results The number of people who chose "WeChat official account push" was the largest, the number of people who chose "set up stalls to distribute publicity materials" ranked second, and the number of people who chose "popular science lectures on infectious disease prevention and con-trol" ranked third. There was no statistically significant difference (P>0.05) in the number of syphilis awareness cases between male and female groups in col-leges and universities. There was no statistically significant difference (P>0.05) in the awareness of the three groups of research subjects before the training; There were statistically significant differences (P<0.05) in the knowledge levels of the three research teams before and after training. After the training, there was a statistically significant difference (P<0.05) in the knowledge among the three groups, indicating that the effects of the three educational models were not consistent; There was a statistically significant difference between the "WeChat official account push" group and the other two groups (P=0.001, P=0.018); The difference between the other two groups was not statistically significant (P=0.372). Conclusion In the post epidemic era in Zhanjiang, the most popular health education models include WeChat official account push, setting up stalls to distribute publicity materials and popular science lectures on infectious dis-ease prevention and control; The WeChat official account push mode has the best effect and is worth promoting vigorously; The other two modes also have advantages and can be carried out synergistically.
A Study on the Communication of Traditional Chinese Medicine Discourse on YouTube under the National Strategy Background
This study analyzes the dissemination of Traditional Chinese Medicine (TCM) discourse on YouTube since its promotion as a Chinese national strategy in 2016. The research aims to map the communication ecology by examining the characteristics of high-impact videos and audience reception. Employing a mixed-methods content analysis, the study investigates 140 high-view TCM-related videos (2016-2024) and their associated comments. Findings reveal a structural imbalance in discourse subjects. Communication is primarily led by non-governmental, North American-based individual practi-tioners, while sources from China, TCM's cultural origin, are significantly un-derrepresented. Thematically, content is dominated by diagnostic and therapeu-tic practices, highlighting an audience focus on TCM's instrumental value. A key finding is a cognitive disconnect in narrative frameworks: Chinese-sourced videos often frame TCM as "civilizational heritage," whereas foreign-sourced videos predominantly present it as "alternative therapy." Sentiment analysis indicates predominantly positive audience reactions. However, analysis of comments shows a deeper "cultural discount," with audiences prioritizing prac-tical techniques over philosophical foundations. The study concludes that TCM communication on YouTube is active yet con-tested, marked by a disparity in discursive power. Enhancing communication effectiveness requires strategies that address this structural imbalance and bridge the framing gaps to foster deeper cross-cultural understanding.
Influence of pregnancy outcome of gestational diabetes mellitus and nursing care
To explore the risk factors of gestational diabetes mellitus and its influence on pregnancy,and to analyze the risk factors of GDM.Now the proportion of gesta-tional diabetes mellitus is much lower than before,but patients cannot belittle it. Because the quality of disease control will directly affect the safety of pregnant women and fetuses,poor control will lead to various complications.Pregnant women suffering from gestational diabetes should keep in close contact with doctors,nutritionists and other medical personnel during the whole pregnancy to facilitate reasonable control and reduction of the disease according to the pregnant woman's physical condition.This article will describe various compli-cations of gestational diabetes mellitus and their impact on perinatal in-fants,analyze and put forward corresponding nursing suggestions.
Nurses' Chronic Disease Management Competencies And Patient Adherence To Long-Term Treatment Plans
This study aimed to investigate nurses' self-assessed competencies in chronic disease management and their assessment of patient adherence to long-term treatment plans. A descriptive-comparative-correlational design was employed, utilizing a researcher-made questionnaire administered to 131 nurses in medical-surgical units at Jinan Central Hospital. The results indicated that nurses generally perceived themselves as competent, with an overall mean competency score of 3.14. Patient adherence was assessed with a mean score of 3.26, indicating that nurses viewed their patients as largely compliant with treatment plans. Notably, competencies in patient education and emotional support showed significant positive correlations with adherence behaviors. However, areas such as medication adherence and lifestyle changes were identified as needing improvement. The study concluded that enhancing nursing competencies, particularly in patient education and emotional support, is essential for improving long-term adherence and health outcomes in chronic disease management.
A review of the correlation between human papillomavirus (HPV) infection and dysbiosis of the female reproductive tract
This article reviews the relationship between vaginal microecological imbalance and cervical HPV infection, highlighting the latest research advancements in this area. As the primary defense line of the female reproductive tract, the balance of vaginal microecology plays a crucial role in how susceptible someone is to HPV infections, how long those infections last, and how effectively they can be cleared. Recent studies have shown that the variety and stability of vaginal bacteria are closely linked to cervical HPV infections. Dysbiosis of the vaginal microecology may lead to changes in the local immune microenvironment, thereby weakening the host's resistance to HPV. Additionally, inflammatory re-sponses play an important role in the occurrence and progression of HPV infections. Through the analysis of existing research, this article further explores the potential application value of microecological regu-lation, including combating HPV infections by adjusting microbial struc-ture and restoring microecological balance. By integrating this research evidence, the article aims to provide theoretical support for clinical practice and future research directions to promote the development of early prevention and intervention strategies for HPV.
This text discusses: vaginal microbiome, human papillomavirus (HPV), imbal-ance of the microbiome, and women's reproductive health issues.
Research on the application of artificial intelligence technology in modern traditional Chinese medicine assisted consultation and dialectic
Driven by policy support and the rapid development of artificial intelligence technology, TCM diagnostics has made significant progress in theoretical innovation, technology application and standardization construction. This study sorts out the application status of artificial intelligence technology in the field of traditional Chinese medicine diagnosis, including the application of expert systems in intelligent syndrome differentiation, image diagnosis and observation technology, natural language processing and consultation technology, and the application of sensors and intelligent hardware in smelling and incision. Aiming at the applicability of AI in the field of TCM diagnosis, this paper proposes technical paths such as data processing and feature extraction, model optimization and algorithm improvement, multimodal information fusion and diagnostic decision-making. The application of AI-based four-diagnosis fusion technology realizes the systematic integration and in-depth mining of traditional Chinese medicine four-diagnosis information, and improves the objectivity and accuracy of TCM diagnosis through multi-modal data collection and intelligent analysis. The study also verifies the feasibility of the four-diagnosis fusion technology in improving the objectivity of TCM diagnosis through typical case analysis, and looks forward to future research directions, including the construction of knowledge system, the research and development of TCM collaborative diagnosis system, the cross-application of emerging technologies, and clinical translation research, etc., providing an implementation path with both technical feasibility and ethical reliability for the intelligent development of TCM.
Traditional Chinese Medicine Auxiliary Consultation and Dialectic
Scope and Intensity of Local Anesthesia: Evaluat-ing the Optimal Dosage
Local anesthesia constitutes a cornerstone of modern anesthesiology. The scope of anesthetized tissue and the depth of sensory blockade are governed by a mul-tifaceted interaction of pharmacodynamic and procedural factors. This article outlines the core principles of local anesthesia and offers an in-depth analysis of the variables affecting dosage selection, such as anatomical site, agent potency, and pharmacokinetic profile. Through clinical case studies, Evidence synthesis indicates how these determinants influence outcomes across various interven-tions, aiming to enhance the reader’s grasp of the adaptability and individual-ized patient responses inherent to local anesthetic modalities. The discussion also addresses safety concerns related to both underdosing and overdosing.
A regional study on nasopharyngeal carcinoma prevention in Guangxi and Guangdong, China
Objective: To achieve regional nasopharyngeal cancer prevention in Guangxi and Guangdong, China, where nasopharyngeal cancer is prevalent. Methods: To prevent nasopharyngeal cancer, you should avoid smoking and excessive drinking, reduce the consumption of pickled foods, and pay attention to the air quality in the working and living environment, especially avoid long-term exposure to high concentrations of dust, formaldehyde and other irri-tants. Results: The imbalance of certain trace elements in the population, caused by the region's natural environment, such as high nickel and low selenium, has also been proven to induce nasopharyngeal cancer in experimental animals. The survey found that the nickel content in the soil, water, and rice in the areas of Guangdong prone to nasopharyngeal cancer is higher than in other areas. Conclusion: The occurrence of nasopharyngeal cancer is a multi-factor, mul-ti-stage process. Having good living habits, eating less pickled foods, not smok-ing or drinking, maintaining an optimistic attitude, and engaging in regular ex-ercise may reduce the risk of nasopharyngeal cancer. However, people in high-incidence areas and with a family history of nasopharyngeal cancer should undergo nasopharyngeal cancer screening as early as possible. Whether from the perspective of disease recovery or medical expenses, the advantages of early diagnosis and early treatment are more obvious.