BACKGROUND:The imbalance between bone resorption and bone formation in microgravity environments leads to significant bone loss in astronauts.Current research indicates that bone loss under microgravity conditions is the result of the combined effects of various cells,tissues,and systems. OBJECTIVE:To review different biological effects of microgravity on various cells,tissues,or systems,and summarize the mechanisms by which microgravity leads to the development of osteoporosis. METHODS:Databases such as PubMed,Web of Science,and the Cochrane Database were searched for relevant literature from 2000 to 2023.The inclusion criteria were all articles related to tissue engineering studies and basic research on osteoporosis caused by microgravity.Ultimately,85 articles were included for review. RESULTS AND CONCLUSION:(1)In microgravity environment,bone marrow mesenchymal stem cells tend to differentiate more into adipocytes rather than osteoblasts,and hematopoietic stem cells in this environment are more inclined to differentiate into osteoclasts,reducing differentiation into the erythroid lineage.At the same time,microgravity inhibits the proliferation and differentiation of osteoblasts,promotes apoptosis of osteoblasts,alters cell morphology,and reduces the mineralization capacity of osteoblasts.Microgravity significantly increases the number and activity of osteoclasts.Microgravity also hinders the differentiation of osteoblasts into osteocytes and promotes the apoptosis of osteocytes.(2)In a microgravity environment,the body experiences changes such as skeletal muscle atrophy,microvascular remodeling,bone microcirculation disorders,and endocrine disruption.These changes lead to mechanical unloading in the bone microenvironment,insufficient blood perfusion,and calcium cycle disorders,which significantly impact the development of osteoporosis.(3)At present,the mechanism by which microgravity causes osteoporosis is relatively complex.A deeper study of these physiological mechanisms is crucial to ensuring the health of astronauts during long-term space missions,and provides a theoretical basis for the prevention and treatment of osteoporosis.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective: Self-determination theory (SDT) deems that people have three causality orientations: autonomy orientation, control orientation, and impersonal orientation. Previous studies suggested that lower autonomy orientation or higher control and impersonal orientations may be associated with more addictive behaviors. Our study aimed to investigate if these associations exist in Internet gaming disorder (IGD), and if sensation seeking, anxiety, and depression could influence the associations between causality orientations and IGD symptoms. Methods: A total of 1,400 college students completed the Internet Gaming Disorder Scale, General Causality Orientation Scale, Brief Sensation Seeking Scale, Generalized Anxiety Disorder Scale, and Patient Health Questionnaire. Correlation, multiple linear regressions, structural equation model (SEM) analyses, and moderation analyses were conducted to explore the associations. Results: The control and impersonal orientations were positively associated with IGD symptoms, while the autonomy orientation was negatively associated with them. Moreover, SEM analyses showed that the autonomy-IGD relationship was totally mediated by anxiety and depression, the impersonal-IGD relationship was partially mediated by anxiety, and the control-IGD relationship was partially mediated by depression. Finally, the effects of causality orientations on IGD were moderated by sensation seeking. Conclusion Overall, autonomy orientation is linked to fewer gaming problems, whereas control and impersonal orientations are associated with more gaming problems. Moreover, the relationships between causality orientations and IGD symptoms are mediated by anxiety and depression and moderated by sensation seeking. Our findings inform theory on the motivations of gaming behaviors and may shed light on the prevention and intervention of IGD from the perspective of SDT.

Objective:To measure the magnetic field correction factor of reference ionization chamber in a 1.5 T magnetic field and to explore the response of the ionization chamber among different angles between magnetic field and ionization chamber axis.Methods:A home-made magnetic compatible one-dimensional water tank was used to measure the response of PTW30013 and IBA FC65-G in 7 MV photon beam of Elekta Unity with and without magnetic field. The ionizing current was collected by PTW UNIDOS Tango electrometer. The effective measurement point of ionization chamber was positioned to the isocenter of MR-linac using electronic portal image device. The influence on water absorbed dose of reference point was obtained by Monte Carlo calculations.Results:The response of ionization chambers in strong magnetic field was related to the angle between chamber axis and magnetic field. The response of ionization chamber was significantly affected in perpendicular magnetic field with a deviation up to 4.54% compared to parallel magnetic field. The deviation between the magnetic field correction factors measured for parallel or reverse-parallel was 0.03%-0.24%. The magnetic field correction factors for PTW30013 and FC65-G measured in parallel magnetic field were 0.9934±0.0077 and 0.9990±0.0076, respectively.Conclusions:This study experimentally verifies that positioning the ionization chamber axis parallel to the magnetic field direction in MR-linac reference dosimetry can minimize the magnetic field impact. The determined magnetic field correction factor and uncertainty in 1.5 T magnetic field can provide necessary data for establishing an MR-linac reference dosimetry protocol.

Background Bacteria are the most diverse and widely sourced microorganisms in the indoor air of subway stations, where pathogenic bacteria can spread through the air, leading to increased health risks. Objective To understand the status and distribution characteristics of indoor air bacterial pollution in subway stations and compartments in a city of Central South China, and to provide a scientific basis for formulating intervention measures to address indoor air bacteria pollution in subways. Methods Three subway stations and the compartments of trains parking there in a city in Central South China were selected according to passenger flow for synchronous air sampling and monitoring. Temperature, humidity, wind speed, carbon dioxide (CO₂), fine particulate matter (PM_2.5), and inhalable particulate matter (PM₁₀) were measured by direct reading method. In accordance with the requirements of Examination methods for public places-Part 3: Airborne microorganisms (GB/T 18204.3-2013), air samples were collected at a flow rate of 28.3 L·min⁻¹, and total bacterial count was estimated. Bacterial microbial species were identified with a mass spectrometer and pathogenic bacteria were distinguished from non-pathogenic bacteria according to the Catalogue of pathogenic microorganisms transmitted to human beings issued by National Health Commission. Kruskal-Wallis H test was used to compare the subway hygiene indicators in different regions and time periods, and Bonferroni test was used for pairwise comparison. Spearman correlation test was used to evaluate the correlation between CO₂ concentration and total bacterial count. Results The pass rates were 100.0% for airborne total bacteria count, PM_2.5, and PM₁₀ in the subway stations and train compartments, 94.4% for temperature and wind speed, 98.6% for CO₂, but 0% for humidity. The overall median (P₂₅, P₇₅) total bacteria count was 177 (138,262) CFU·m⁻³. Specifically, the total bacteria count was higher in station halls than in platforms, and higher during morning peak hours than during evening peak hours (P<0.05). A total of 874 strains and 82 species were identified by automatic microbial mass spectrometry. The results of identification were all over 9 points, and the predominant bacteria in the air were Micrococcus luteus (52.2%) and Staphylococcus hominis (9.8%). Three pathogens, Acinetobacter baumannii (0.3%), Corynebacterium striatum (0.1%), and Staphylococcus epidermidis bacilli (2.2%) were detected in 23 samples (2.6%), and the associated locations were mainly distributed in train compartments during evening rush hours. Conclusion The total bacteria count in indoor air varies by monitoring sites of subway stations and time periods, and there is a risk of opportunistic bacterial infection. Attention should be paid to cleaning and disinfection during peak passenger flow hours in all areas.

Objective:Based on multi-subject coordination perspective,it aimed to define the stakeholders in the active health management model,analyze the functional positioning and interests of each party,and put forward relevant governance strategies,so as to provide the participating subjects with governance ideas for the subsequent exploration of the implementation path of active health.Methods:Stakeholders are identified,categorized and managed using Delphi expert consultation and Mitchell scoring method.Results:After two rounds of expert consultation,a total of 17 stakeholders were identified and categorized into three types:deterministic,anticipatory,and marginal stakeholders.In addition,taking into account the opinions from the expert interviews,the functional positioning and interests of each party were further identified,and corresponding management strategies were proposed.Conclusion:Active health management should adopt the strategy of"holistic coordination and categorization",adopting different governance strategies according to the priority of the demands of each type of stakeholder,and at the same time establishing a sound mechanism for sharing responsibilities and preventing conflicts of interest,so as to coordinate and balance the interests of all parties.

Objective:Based on multi-subject coordination perspective,it aimed to define the stakeholders in the active health management model,analyze the functional positioning and interests of each party,and put forward relevant governance strategies,so as to provide the participating subjects with governance ideas for the subsequent exploration of the implementation path of active health.Methods:Stakeholders are identified,categorized and managed using Delphi expert consultation and Mitchell scoring method.Results:After two rounds of expert consultation,a total of 17 stakeholders were identified and categorized into three types:deterministic,anticipatory,and marginal stakeholders.In addition,taking into account the opinions from the expert interviews,the functional positioning and interests of each party were further identified,and corresponding management strategies were proposed.Conclusion:Active health management should adopt the strategy of"holistic coordination and categorization",adopting different governance strategies according to the priority of the demands of each type of stakeholder,and at the same time establishing a sound mechanism for sharing responsibilities and preventing conflicts of interest,so as to coordinate and balance the interests of all parties.

Objective:Based on multi-subject coordination perspective,it aimed to define the stakeholders in the active health management model,analyze the functional positioning and interests of each party,and put forward relevant governance strategies,so as to provide the participating subjects with governance ideas for the subsequent exploration of the implementation path of active health.Methods:Stakeholders are identified,categorized and managed using Delphi expert consultation and Mitchell scoring method.Results:After two rounds of expert consultation,a total of 17 stakeholders were identified and categorized into three types:deterministic,anticipatory,and marginal stakeholders.In addition,taking into account the opinions from the expert interviews,the functional positioning and interests of each party were further identified,and corresponding management strategies were proposed.Conclusion:Active health management should adopt the strategy of"holistic coordination and categorization",adopting different governance strategies according to the priority of the demands of each type of stakeholder,and at the same time establishing a sound mechanism for sharing responsibilities and preventing conflicts of interest,so as to coordinate and balance the interests of all parties.

Objective:Based on multi-subject coordination perspective,it aimed to define the stakeholders in the active health management model,analyze the functional positioning and interests of each party,and put forward relevant governance strategies,so as to provide the participating subjects with governance ideas for the subsequent exploration of the implementation path of active health.Methods:Stakeholders are identified,categorized and managed using Delphi expert consultation and Mitchell scoring method.Results:After two rounds of expert consultation,a total of 17 stakeholders were identified and categorized into three types:deterministic,anticipatory,and marginal stakeholders.In addition,taking into account the opinions from the expert interviews,the functional positioning and interests of each party were further identified,and corresponding management strategies were proposed.Conclusion:Active health management should adopt the strategy of"holistic coordination and categorization",adopting different governance strategies according to the priority of the demands of each type of stakeholder,and at the same time establishing a sound mechanism for sharing responsibilities and preventing conflicts of interest,so as to coordinate and balance the interests of all parties.