Low-intensity pulsed ultrasound（LIPUS），with its remarkable advantages of higher safety and better penetrability，has gradually become a novel method of physical adjuvant therapy. Previous studies have verified that LIPUS can modulate the immune response of different immune cells such as macrophage，T lymphocyte，and neutrophil by reducing the level of pro-inflammatory cytokines. Therefore，it plays a crucial role on acceleration of fracture healing，expedition of wound repair，and repairation of myocardial injury. The review summarizes the regulatory effects and potential mechanisms of LIPUS on abnormal immune cell responses triggered by various diseases.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

The synthetic PDCoV N protein gene was optimized and cloned into the pET-30a vector to obtain the pET-30a-N plasmid.Thenthe recombinant plasmid was transformed into three strains of BL21 E.coli using heat-shock to explore protein expression conditions.The expressed proteins was purified using Ni Focurose 6FF(IMAC)and used as antigen to immunize the New Zealand White rabbit to prepare the polyclonal antibody against the PDCoV N protein.The antibody titer was measured by indirect ELISA method.The specificity for the antibody was identified by West-ern blot and indirect immunofluorescence(IFA).The results showed that the pET-30a-N plasmid showed high expression level in BL21 StarTM(DE 3).The optimal expression condition was 37 ℃ 4 h.The purity of the target protein could reach 90.3％after purification.Indirect ELISA showed that the antibody titers was up to 1∶204 800.Western blot and IFA showed that the produced rabbit polyclonal antibody exhibited good specificity.In conclusion,the polyclonal antibody was prepared which specifically recognized the PDCoV N proteins.The results provided some references for the subsequent exploration of PDCoV N protein function and laid a foundation for establishing a diag-nostic method for PDCoV.

The synthetic PDCoV N protein gene was optimized and cloned into the pET-30a vector to obtain the pET-30a-N plasmid.Thenthe recombinant plasmid was transformed into three strains of BL21 E.coli using heat-shock to explore protein expression conditions.The expressed proteins was purified using Ni Focurose 6FF(IMAC)and used as antigen to immunize the New Zealand White rabbit to prepare the polyclonal antibody against the PDCoV N protein.The antibody titer was measured by indirect ELISA method.The specificity for the antibody was identified by West-ern blot and indirect immunofluorescence(IFA).The results showed that the pET-30a-N plasmid showed high expression level in BL21 StarTM(DE 3).The optimal expression condition was 37 ℃ 4 h.The purity of the target protein could reach 90.3％after purification.Indirect ELISA showed that the antibody titers was up to 1∶204 800.Western blot and IFA showed that the produced rabbit polyclonal antibody exhibited good specificity.In conclusion,the polyclonal antibody was prepared which specifically recognized the PDCoV N proteins.The results provided some references for the subsequent exploration of PDCoV N protein function and laid a foundation for establishing a diag-nostic method for PDCoV.

Objective:To conduct a scoping review on the current status, assessment tools and influencing factors of malnutrition in elderly stroke patients, so as to provide new ideas for the development of individualized nutritional intervention programs.Methods:Studies related to malnutrition in elderly stroke patients were searched in China National Knowledge Infrastructure, VIP, WanFang Data, China Biology Medicine disc, PubMed, Web of Science, Embase and Clinical Trial Registration Center. The search period was from the establishment of the database to January 2024. Two researchers independently screened the literature, extracted information based on inclusion and exclusion criteria, and finally categorized and reported the findings.Results:A total of 33 papers were included. In elderly stroke patients, the prevalence of malnutrition varied between studies. There was a wide range of tools to assess the nutritional status of patients, but there was an overall lack of multidimensional and specific tools. Commonly used was the Short-form Mini-nutritional Assessment. Factors influencing malnutrition in patients included general demographic, disease-related and lifestyle factors, physiologic and biochemical indicators, functional correlates, nutrient literacy-related factors, psychological and supportive factors.Conclusions:Malnutrition in elderly stroke patients is influenced by a variety of factors and seriously affects patient prognosis. Standardized assessment tools should be adopted to detect timely and accurately, take targeted measures for each factor, and carry out personalized intervention programs to promote benign changes in the nutritional status of elderly stroke patients.

Objective:To conduct a scoping review on the current status, assessment tools and influencing factors of malnutrition in elderly stroke patients, so as to provide new ideas for the development of individualized nutritional intervention programs.Methods:Studies related to malnutrition in elderly stroke patients were searched in China National Knowledge Infrastructure, VIP, WanFang Data, China Biology Medicine disc, PubMed, Web of Science, Embase and Clinical Trial Registration Center. The search period was from the establishment of the database to January 2024. Two researchers independently screened the literature, extracted information based on inclusion and exclusion criteria, and finally categorized and reported the findings.Results:A total of 33 papers were included. In elderly stroke patients, the prevalence of malnutrition varied between studies. There was a wide range of tools to assess the nutritional status of patients, but there was an overall lack of multidimensional and specific tools. Commonly used was the Short-form Mini-nutritional Assessment. Factors influencing malnutrition in patients included general demographic, disease-related and lifestyle factors, physiologic and biochemical indicators, functional correlates, nutrient literacy-related factors, psychological and supportive factors.Conclusions:Malnutrition in elderly stroke patients is influenced by a variety of factors and seriously affects patient prognosis. Standardized assessment tools should be adopted to detect timely and accurately, take targeted measures for each factor, and carry out personalized intervention programs to promote benign changes in the nutritional status of elderly stroke patients.

This report evaluates the preliminary outcomes of a "six-in-one" integrated cough and asthma center developed under a dual-contract physician model at the Changfeng Community Health Service Center in Putuo District, Shanghai. By combining the efforts of family doctors and medical specialists, the center integrated six core functions-clinical treatment, prevention, nursing, rehabilitation, pharmacy, and nutrition-into a seamless management system covering screening, diagnosis, therapy, and follow-up. Supported by specialist guidance and teaching clinics, the model significantly enhanced comprehensive respiratory disease management capabilities within the community setting. The initiative not only improved patient health outcomes but also strengthened multidisciplinary collaboration and resource efficiency, offering a replicable example for improving chronic disease management in primary care through integrated and coordinated service delivery.

Low-intensity pulsed ultrasound（LIPUS），with its remarkable advantages of higher safety and better penetrability，has gradually become a novel method of physical adjuvant therapy. Previous studies have verified that LIPUS can modulate the immune response of different immune cells such as macrophage，T lymphocyte，and neutrophil by reducing the level of pro-inflammatory cytokines. Therefore，it plays a crucial role on acceleration of fracture healing，expedition of wound repair，and repairation of myocardial injury. The review summarizes the regulatory effects and potential mechanisms of LIPUS on abnormal immune cell responses triggered by various diseases.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.