Vol 2 No 5 (2025)
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Study on the Effect of Birthing Ball-Assisted Care on Pelvic Floor Muscle Function in Primiparas Undergoing Natural Childbirth
Li-Yuan Zhao
Objective: To explore the effect of birthing ball-assisted care on pelvic floor muscle function in primiparas undergoing natural childbirth. Methods: Ninety primiparas who underwent natural childbirth in the obstetrics department of our hospital from March 2022 to September 2024 were selected as the study subjects. They were divided into an observation group (45 cases) and a control group (45 cases) using a random number table method. The control group received routine intrapartum care, while the observation group received birthing ball-assisted care in addition to routine care. The progress of labor, delivery outcomes, and postpartum pelvic floor muscle function recovery were compared between the two groups. Results: All labor progression indicators in the observation group were superior to those in the control group, with significantly improved delivery quality and better postpartum pelvic floor muscle function recovery (P < 0.05). Conclusion: Birthing ball-assisted care can effectively shorten labor duration, reduce delivery complications, and promote the recovery of postpartum pelvic floor muscle function, making it worthy of promotion and application in clinical practice.
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Exploring the Construction of a 5G Smart Traditional Chinese Medicine and Classical TCM Teaching & Research Base
Xiao-Hong Liu
The state places great emphasis on the inheritance, innovation, and development of Traditional Chinese Medicine (TCM), while the global wave of digital technology brings both opportunities and challenges to higher education in TCM. At present, many clinical teaching bases of TCM face problems such as uneven allocation of teaching staff, low utilization efficiency of teaching equipment, insufficient cultivation of classical TCM, and inadequate integration of modern information technology with traditional teaching models. Based on the teaching reform practices of Dongguan Traditional Chinese Medicine Hospital (the Ninth Clinical Medical College of Guangzhou University of Chinese Medicine), this paper proposes a conceptual framework for the construction of a “5G Smart TCM and Classical TCM Teaching & Research Base.” This model integrates cutting-edge technologies such as 5G and artificial intelligence with the wisdom of classical TCM, aiming to build an innovative talent cultivation ecosystem characterized by “smart empowerment, classical foundations, optimized faculty, resource sharing, and cultural reconstruction.” The paper systematically elaborates on the project background, core connotations, implementation pathways, feasibility support mechanisms, and expected outcomes of this model, providing a replicable “new TCM paradigm” for similar medical colleges and clinical teaching bases nationwide, and contributing to the cultivation of composite, interdisciplinary, and high-caliber TCM professionals.
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An Exploration of Public Health Risk Early Warning Mechanisms Based on Big Data Technology
Cheng-De Bai
With the acceleration of globalization and urbanization, public health events such as emerging infectious diseases have occurred frequently, posing serious threats to human health and social stability. Traditional public health monitoring and early warning systems have shown clear limitations in terms of the breadth, depth, timeliness of data acquisition, as well as the integration and analysis of multi-source heterogeneous data. Leveraging its characteristics of massive volume, high velocity, and diversity, big data technology provides critical technical support for building a new generation of intelligent public health risk early warning mechanisms. This paper systematically explores such mechanisms by first analyzing the dilemmas faced by traditional early warning systems, and then elaborating on the core logic, technical architecture, and data ecosystem of big data–empowered public health early warning. Innovatively, energy and chemical enterprises are introduced as a representative case to demonstrate how internal early warning systems constructed through big data can, in turn, enhance regional public safety.
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Research on the Role of Psychological Factors in the Onset and Disease Management of Hypertension
Min Yang; Xin-Hui Ma; Yi Ding
Hypertension, as a prevalent global risk factor for cardiovascular disease, poses a severe public health challenge due to its high incidence, disability, and mortality rates. Traditional medical models have primarily focused on physiological and behavioral factors, while insufficient attention has been paid to psychosocial determinants. This paper systematically explores the dual role of psychological factors in both the onset and management of hypertension. It reviews the associations between psychological variables—such as stress, emotional disorders, personality traits, and social support—and hypertension, and elucidates the biological mechanisms through which these factors influence blood pressure, particularly via neuroendocrine pathways. Furthermore, it analyzes how psychological factors interfere with treatment adherence, the effectiveness of lifestyle interventions, and patients’ illness perception. On this basis, the necessity and effectiveness of integrating psychological assessment and intervention into comprehensive hypertension management are demonstrated. Finally, future prospects for precision and individualized prevention and treatment strategies from a psychosomatic medicine perspective are proposed. The findings suggest that constructing an integrated intervention system under the bio-psycho-social medical model is essential for improving the effectiveness of hypertension prevention and control.
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Observation on the Efficacy of Electric-heated Bian Stone Combined with Run Chang San in Treating 38 Cases of Functional Constipation
Qing-Qing Xu; Hong-Xia Ji, Chen Zheng
Objective: To investigate the clinical efficacy of electric-heated Bian stone combined with Run Chang San in patients with functional constipation. Methods: A total of 76 patients diagnosed with functional constipation in our hospital's outpatient and inpatient departments from October 2023 to September 2025 were selected and randomly divided into an observation group and a control group using a random number table method, with 38 cases in each group. The observation group received treatment with electric-heated Bian stone combined with Run Chang San, while the control group received conventional Western medicine treatment. Clinical efficacy indicators, symptom improvement, and quality of life scores were compared between the two groups. Results: The observation group showed significantly better outcomes than the control group in terms of clinical efficacy, symptom improvement, and quality of life (P < 0.05). Conclusion: The combination of electric-heated Bian stone and Run Chang San can effectively alleviate the clinical symptoms of patients with functional constipation and improve their quality of life, demonstrating good potential for clinical application.
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