Objective To explore medical institution-led exercise training interventions,prelimina-ry preventive measures,and comprehensive health service strategies for elderly adults.Methods Sixty elderly adults from communities under the jurisdiction of primary hospitals who voluntarily participated in the training and met the inclusion criteria were divided into 75 to 79 years old group and 80 to 84 years old group.Elastic bands exercise were selected as the method for physical training for elderly community members.A total of three sets(9 items)of exercise,including upper and lower limb mus-cle strength exercises and balance as well as coordination training,were designed.The training period lasted for 12 weeks,with each session lasting 1 hour,three times a week.The medical team partici-pated in training supervision and follow-up evaluations throughout the process,dynamically adjusting the training intensity based on individual needs.Results Comprehensive safety and support meas-ures significantly improved training participation and completion rates.No sports injuries or adverse events occurred throughout the process,and all participants completed the training plan.After train-ing,statistically significant differences were observed in grip strength,five-times sit-to-stand test duration,Berg Balance Scale(BBS)scores,and Timed Up and Go(TUG)test results(P＜0.05),indicating effective physical fitness improvement.Conclusion Elastic band exercises are a suitable mode for physical improvement training among elderly adults,significantly enhancing muscle strength in the limbs and trunk and improving balance function.The positive communication and in-teraction in group activities significantly boost elderly adults'confidence in healthy living,leading to notable improvements in their mental state.

Objective:To analyze the influencing factors and improvement paths of the cultivation of full-time doctoral scientific and technological innovation ability in large public hospitals, and propose countermeasures and suggestions.Methods:This studyed conducted a survey and analysis of 122 doctors from Linyi People′s Hospital in Shandong Province, and completed a current situation study based on the analysis results.Results:There was no significant difference between the two groups in gender, age, degree type, professional category, discipline level, Graduate School type, job type and other indicators. There were significant differences between the two groups in scientific research topic selection ability score, project design ability score, data analysis ability score, data interpretation ability score, project approval in recent 5 years, project level, number of SCI journal papers published in recent 5 years, cumulative impact factors of SCI journal papers, and annual number of academic activities ( P<0.05). Conclusions:The hospital can improve the scientific and technological innovation ability of full-time doctors by setting up a special cultivation plan, establishing an interdisciplinary team, optimizing scientific research management services, improving the evaluation and assessment system, and improving welfare protection.

Objective:To develop a simplified DNA model tailored for Monte Carlo track structure simulations and investigate the influence of microstructural variations at the scale of several base pairs on the physical simulation of proton-induced biological effects, providing a novel approach to enhance the efficiency of modeling and computational processes in proton radiotherapy simulations.Methods:A circular double-helix DNA molecule consisting of 4 362 base pairs was constructed based on the pBR322 plasmid structure. These molecules were evenly distributed without overlap within a spherical region at the center of a water phantom, representing the cellular nucleus. Integrated into the GPU-based gMicroMC code framework, the model facilitated simulations to calculate proton-induced double-strand break (DSB) yields across three distinct models with twist angles of 20°, 36°, and 72° between adjacent nucleotide pairs. Comparative analyses were conducted to assess differences among these models.Results:Intra-model analyses revealed a consistent decrease in proton-induced DSB yields with increasing initial energy. Under proton irradiation at different energies, the DSB yields for the three models followed the order 72°>36°>20°, with intergroup relative differences exceeding 34.6%. Comparative RBE calculations suggested that models with twist angles between 36° and 72° may better replicate proton-induced damage observed in V79 cells.Conclusions:By strategically simplifying the separation of macroscopic and microscopic levels of DNA structure, adjustments to microstructural parameters can be effectively implemented to refine the model, thereby enhancing the efficiency of modeling and physical simulations. This methodology shows potential as a model for simulating relative biological effectiveness (RBE) in proton therapy planning.

Objective To investigate the prevalence and molecular characteristics of Anaplasma infections in sheep and goats in Anhui Province in 2020, so as to provide insights into ovine anaplasmosis prevention and control. Methods A total of 355 fresh blood samples were collected from 7 sheep and goat farms in Linquan County of Fuyang City, Lixin County of Bozhou City, Yu'an District of Lu'an City, Wangjiang County of Anqing City, Nanling County of Wuhu City, and Tianchang City and Fengyang County of Chuzhou City in Anhui Province from June to December 2020. A. bovis and A. phagocytophilum 16S ribosomal RNA (16S rRNA) gene, A. ovis major surface protein 4 (MSP4) gene and A. capra citric acid synthase (gltA) gene were amplified using PCR assay in all blood samples, and the prevalence of A. bovis, A. phagocytophilum, A. ovis and A. capra infections was calculated in sheep and goats. In addition, the positive amplification products were sequenced and subjected to genetic evolutionary analysis. Results The overall prevalence of Anaplasma infections was 17.5% (62/355) in sheep and goats in Anhui Province, and the prevalence of A. bovis, A. phagocytophilum, A. ovis and A. capra infections was 2.8% (10/355), 2.5% (9/355), 2.5% (9/355), and 7.0% (25/355), while the prevalence of A. bovis and A. phagocytophilum, A. phagocytophilum and A. ovis, A. phagocytophilum and A. capra and A. bovis, A. phagocytophilum and A. ovis co-infections was 0.8% (3/355), 1.1% (4/355), 0.3% (1/355) and 0.3% (1/355), respectively. No Anaplasma was detected in the sheep and goat farms in Fengyang County, while at least three Anaplasma species were detected in other sheep and goat farms, with co-infections of multiple Anaplasma species identified. The prevalence of Anaplasma infections was 14.7% (24/163) in goats and 19.8% (38/192) in sheep, and the prevalence of Anaplasma infections was 31.0% (31/100) in goats and sheep under 6 months of age, and 12.2% (31/255) in goats and sheep at ages of 6 months and older, respectively. A. bovis, A. phagocytophilum, A. ovis and A. capra were identified in sheep and goats of different breeds and ages. Conclusions Multiple Anaplasma species infections were commonly prevalent in goats and sheep in Anhui Province in 2020, notably A. phagocytophilum, A. ovis and A. capra, which have zoonotic risks. Improved surveillance and prevention and control of Anaplasma infections are required in sheep and goats in Anhui Province.

Objective:To develop a simplified DNA model tailored for Monte Carlo track structure simulations and investigate the influence of microstructural variations at the scale of several base pairs on the physical simulation of proton-induced biological effects, providing a novel approach to enhance the efficiency of modeling and computational processes in proton radiotherapy simulations.Methods:A circular double-helix DNA molecule consisting of 4 362 base pairs was constructed based on the pBR322 plasmid structure. These molecules were evenly distributed without overlap within a spherical region at the center of a water phantom, representing the cellular nucleus. Integrated into the GPU-based gMicroMC code framework, the model facilitated simulations to calculate proton-induced double-strand break (DSB) yields across three distinct models with twist angles of 20°, 36°, and 72° between adjacent nucleotide pairs. Comparative analyses were conducted to assess differences among these models.Results:Intra-model analyses revealed a consistent decrease in proton-induced DSB yields with increasing initial energy. Under proton irradiation at different energies, the DSB yields for the three models followed the order 72°>36°>20°, with intergroup relative differences exceeding 34.6%. Comparative RBE calculations suggested that models with twist angles between 36° and 72° may better replicate proton-induced damage observed in V79 cells.Conclusions:By strategically simplifying the separation of macroscopic and microscopic levels of DNA structure, adjustments to microstructural parameters can be effectively implemented to refine the model, thereby enhancing the efficiency of modeling and physical simulations. This methodology shows potential as a model for simulating relative biological effectiveness (RBE) in proton therapy planning.

Objective:To understand the willingness of pre-exposure prophylaxis (PrEP) use to prevent HIV infection and related factors in men who have sex with men (MSM) in Yunnan Province.Methods:Cross-sectional study method and snowball sampling method was used to carry out the survey in 14 cities (autonomous prefectures) in Yunnan from April to June 2021. According to national sentinel surveillance program, the sample size was 400 at national sentinel sites and 100 at provincial sentinel sites. The related factors of PrEP use willingness were analyzed by multiple logistic regressions with software SPSS 22.0.Results:A total of 2 450 questionnaires were completed, the rate of having heard of PrEP was 68.5% (1 677/2 449), the willingness rate of PrEP use was 56.7% (1 343/2 368), the willing rate of PrEP use at their own expense was 30.6% (724/2 368), and the willingness rate of free PrEP use was 56.2% (1 330/2 367). The of multivariate logistic analysis results showed that related factors of low willingness to use PrEP included aged 40-49 years and 50 years or above (a OR=2.49 and a OR=4.48), Han ethnic group (a OR=1.47), residence in other provinces (a OR=1.64), education level of senior high school (a OR=1.96) and college or above (a OR=3.49), sample source of bath house (a OR=3.53), online recruiting (a OR=2.53) and voluntary counseling and testing (a OR=1.42), local living time for 3-6 months and 7-12 months (a OR=0.18 and a OR=0.25) ,class 2 and 3 of survey areas (a OR=3.63 and a OR=1.71), having no anal sex with men in the past week (a OR=2.60), having no commercial homosexual behavior in the past six months (a OR=13.32) and self-perceived higer risk for HIV infection (a OR=0.50). Conclusions:There was more than half of MSM with willingness to use PrEP. The health education to promote PrEP use should be strengthen in MSM who had low willingness to use PrEP from underdeveloped areas, in Han ethnic group, with older age, from other provinces, with shorter local living time and self-perceived low risk for HIV infection.

Objective:To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.Methods:A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and > 600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system.Results:Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the > 600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95% CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95% CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95% CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCN* model, was constructed according to the selected feature combination, which further improved the model performance [accuracy: 80.5%, AUC (95% CI) was 0.880 (0.868-0.893)]. The hybrid model 2 contained ten indexes, including mean arterial pressure (MAP), hematocrit (HCT), platelet count (PLT), lactic acid, arterial partial pressure of carbon dioxide (PaCO 2), Total CO 2, blood sodium, anion gap (AG), fibrinogen (FIB), international normalized ratio (INR). Finally, the RNN-FCN* model was deployed in the database system, which realized automatic, continuous, efficient, intelligent, and grading prediction of hemorrhage volume in traumatic animals. Conclusion:Based on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.

Objective: To explore the protective effects of folic acid on retinas and its anti-oxidative stress mechanism in diabetic mice. Methods: Thirty-two 16-week-old SPF degree male db/db mice were randomized into model group and folic acid group, and 16 matched C57BL/KsJ mice were used as controls.Folic acid was used to the mice by oral gavage once per day with the dose of 71 μg/kg (2 ml) for 60 days in the folic acid group, and the same volume of normal saline solution was used in the model group and control group in the same way.The activities, mental state, body weight, and fasting plasma glucose (FPG) of the mice were recorded during experiment.At the end of the intervention, the mice were sacrificed and the retinas and blood sample were obtained.The histopathology of the retinas was examined with hematoxylin- eosin staining; serum homocysteine (Hcy) was detected by ELISA assay; the relative expressions of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) mRNA were detected in the retinas by real-time fluorescence quantitative PCR; the relative expressions of B lymphoma 2 protein (bcl-2), bcl-2 related X protein (bax), 3-nitrotyrosine (3-NT) and 4-Hydroxynonine (4-HNE) proteins were assayed by Western blot assay; superoxide dismutase (SOD), 8-hydroxydeoxyguanosine (8-OHdG) and malondialdehyde (MDA) levels in the retinas were detected by biochemical kits, and immunofluorescence assay was used to detect the expression of NADPH oxidation 4 (NOX4) in the retinas.The use and care of the experimental animals adhered to the ARVO Statement by the American Association for Vision and Ophthalmology Research and this study protocol was approved by Ethic Committee of Qinghai University (QHDX 2018-35). Results: Over the experimental period, The FPG was normal and body weight was gradually increased in the mice of control group.The FPG>16.7 mmol/L and the mice appeared obese.In the folic acid group, both body mass and FPG of the mice were gradually reduced.At the end of drug administration, serum Hcy concentration of the mice was (27.18±3.18)μmol/L in the model group, which was significantly higher than (8.28±2.18)μmol/L in the control group and (13.73±2.54)μmol/L in the folic acid group (all at P<0.05). The retinal structure was intact in the control group, and the retinas were thinning with more capillaries and inflammatory cells in the model group, the thickness of the retinas was increased and the capillaries and inflammatory cells were decreased in the folic acid group.The relative expressions of TNF-α and IL-6 mRNA in the retinas were significantly higher in the model group than those in the control group, and those in the folic acid group were reduced in comparison with the model group (all at P<0.05). The relative expression of bcl-2 protein in the retinas of folic acid group was lower than that in the control group and higher than that in the model group, and the relative expressions of bax, 3-NT and 4-HNE proteins in the retinas of the folic acid group were significantly higher than those in the control group and lower than those in the model group (all at P<0.05 ). The T-SOD activity in the folic acid group was significantly stronger than that in the control group and weaker than that in the model group, and the concentrations of 8-OHdG and MDA in the retinas of the folic acid group were significantly reduced in comparison with those of the control group and elevated in comparison with those of the model group (all at P<0.05). The expressing intensity of NOX4 protein in the retinas of the folic acid group was significantly weaker than that of the model group. Conclusions Folic acid appears aprotective effect on retinal tissue in diabetic mice by reducing serum Hcy, inhibiting oxidative stress and cell apoptosis.

Objective:To analyze the characteristics of HIV-1 molecular network in men who have sex with men (MSM) from 2016 to 2018 in Kunming, Yunnan province, explore the risk factors associated with HIV-1 transmission network and provide evidence for the effective implementation of intervention.Methods:A total of 540 samples of newly reported HIV-1 positive MSM were consecutively collected in Kunming from 2016 to 2018, the pol gene fragments were amplified by nested polymerase chain reaction (PCR). HIV-1 molecular networks were constructed according to the bootstrap value of the maximum likelihood evolutionary tree over 95% and the genetic distance less than 3%. The factors associated with the subjects entering network and network growth were further analyzed. Results:Among 459 successfully sequenced samples, seven genotypes were found, in which CRF07_BC (49.2%, 226/459) and CRF01_AE (40.3%, 185/459 ) were predominant. Other genotypes included URFs (4.8%, 22/459), CRF08_BC (3.1%, 14/459), CRF55_01B (1.7%, 8/459), B (0.7%, 3/459) and CRF68_01B (0.2%, 1/459). A total of 163 sequences entered the network, with an entry rate of 35.5%(163/459), forming 56 clusters with the number of individuals in the cluster was between 2 and 13. The analysis of the factors associated with entering network showed that the MSM who married and had multiple homosexual partners were more likely to be found in HIV-1 molecular networks. Multivariate logistic regression analysis showed that the number of sexual partners was the factor for the growth of HIV-1 molecular network. According to the criteria for the emergence of three or more newly reported cases in every year, six transmission clusters were judged as active transmission clusters, in which MSM who were not Kunming natives, had sexually transmitted diseases (STD), were divorced and students were the key targets of intervention.Conclusions:HIV-1 genotypes in MSM in Kunming were becoming complex, the risk factors associated with transmission networks in MSM in Kunming included being married and having multiple partners, the intervention targets in active transmission clusters included MSM who were not Kunming natives, had STD, were divorced and students. This study provided the basis for applying HIV-1 molecular networks to real-time intervention in this population.

Objective:To understand the characteristics of HIV-1 genotypes and drug resistance among men who have sex with men in Kunming in 2018.Methods:A total of 193 plasma samples were collected from the newly reported HIV-1 infected MSM in Kunming from January to December 2018. Viral RNA was extracted, and the gag, pol, env gene segments were amplified by nested PCR. HIV-1 genotypes and drug resistance were also analyzed. Subsequently, the evolutionary characteristics of CRF55_01B and CRF68_01B among MSM in Kunming were analyzed by Bayesian Markov Chain Monte Carlo method. Results:Multiple HIV-1 genotypes were identified among these 193 samples, including CRF07_BC (39.4%, 76/193), CRF01_AE (34.2%, 66/193), unique recombinant forms (URFs) (20.2%, 39/193), CRF08_BC (3.1%, 6/193), CRF55_01B (1.6%, 3/193), subtype B (1.0%, 2/193) and CRF68_01B (0.5%, 1/193). Results from the Bayesian evolutionary analysis showed that CRF55_01B started to spread locally after being imported from other provinces, while CRF68_01B was likely to have been brought in from the eastern provinces of China. Prevalence of HIV-1 drug resistant strains was 2.6%(5/190) before antiviral treatment, with mutation rates resistant to non-nucleoside reverse transcriptase inhibitors being the highest (2.1%, 4/190) among MSM in Kunming, 2018.Conclusion:The diversity of HIV-1 was increasing among MSM in Kunming. Although the resistance rate on pretreatment drug was relatively low, the emergence of multiple resistant strains to first-line antiviral drugs posed a challenge to antiretroviral therapy, in Kunming.