Abstract The prevention and control of myopia in Chinese children and adolescents has become a major public health issue. While maintaining increased outdoor activity as a cornerstone intervention, there is an urgent need to explore new complementary approaches that can be effectively implemented in both indoor and outdoor settings. In recent years, environmental spatial frequency has gained increasing attention as one of the key environmental factors influencing the development and progression of myopia. Both animal studies and human research have confirmed that indoor environments lacking mid to high spatial frequency components, often characterized as "visually impoverished", can promote axial elongation and myopia through mechanisms such as disruption of retinal neural signaling, impaired accommodative function, and altered expression of related molecules. Based on the scientific consensus, it is recommended that "enriching of environmental spatial frequency" should be integrated into the myopia prevention and control framework. Following the principles of schoolled organization, family cooperation, community involvement, and student participation, specific measures are put forward in three areas：optimizing school visual settings, improving home spatial environments, and promoting healthy visual behavior. The aim is to create "visually friendly" indoor environments as an important supplement to outdoor activity, thereby providing a novel perspective and strategy for comprehensively advancing myopia prevention and control among children and adolescents.

Objective: To explore the impact of different blood donation scenarios on population characteristics and blood donation behaviors, and to provide a basis for precise blood donation recruitment. Methods: Eligible voluntary blood donors with complete records from four scenarios in Xi'an: medical institutions, cultural tourism SITES, commercial superstores, and blood centers. After a preliminary analysis of overall donor characteristics across the four scenarios, three core subgroups were defined based on scenarios and donor population differences: the medical subgroup (aged 30-39 years), the blood center subgroup (aged 30-39 years), and the cultural tourism and commercial superstore subgroup (aged 18-29 years). Baseline characteristics, blood donation behaviors, and blood test results were compared among the subgroups. Results: The blood donors in all four scenarios were mainly male, but the proportion of female donors in the medical scenario was the highest (26.4%, 8 878/33 634). In terms of age distribution, the cultural tourism and commercial superstore scenarios were dominated by donors aged 18-29, while the blood center and medical scenarios were dominated by those aged 30-39, with the highest proportion of donors over 40 in the medical scenario. The occupational and educational composition of blood donors in the blood center scenario spanned a wide range, exhibiting a clear bipolar distribution. Significant differences were observed in baseline characteristics, blood donation behaviors, and blood test results among the three core subgroups (P<0.001). The medical subgroup was mainly composed of enterprise/industrial workers and married individuals, with high proportions of first-time blood donors, and the highest unqualified rate of infectious indicators (2.0%, 274/13 509). The cultural tourism and commercial superstore subgroup was mainly unmarried and students, featured high proportions of large-volume donations and evening donations, and had a relatively high unqualified rate for ALT (0.4%, 130/31 443). The blood center subgroup had a complex population structure, a high proportion of repeat blood donors (45.3%, 6449/14 225), and moderate results in all test indicators. Conclusion: There is an inherent correlation between the attributes of blood donation scenarios, population characteristics, and blood donation behaviors. The differences among the three core subgroups provide a clear basis for precise scenario operation. By constructing transformation channels between different scenarios and optimizing scenario-specific strategies, the structure of blood donors can be improved, thereby supporting the sustainable development of voluntary blood donation.

Three-dimensional(3D)printing technology,which is based on computer aided design,presents innovative solutions for clinical surgical treatments and is increasingly being utilized in clinical settings.By integrating medical-image processing software and a 3D printer with customized materials,physicians can efficiently fabricate a 3D model layer by layer,thus realizing the reconstruction of human-body models with specific objectives.These models vividly showcase the anatomical structures,fracture types,and rupture severity,thereby facilitating doctors in understanding the fracture being examined.Beyond serving as a mere demonstration tool,the physi-cal model assists doctors in designing personalized implants and selecting customized surgical guide plates and fixation screws.Surgeons can improve the surgical accuracy and efficacy by refining the surgical plan via preoperative simulation operations.This article presents a summary of the application of computer-simulation surgery in conjunction with 3D printing technology in various complex surgeries.Addi-tionally,the significant potential applications of 3D printing technology in the clinical orthopedics field are discussed.

Objective:To explore the application effect of a student-faculty collaborative dynamic question bank based on outcome based education (OBE) in the teaching of maternal and infant nursing.Methods:A total of 204 junior nursing undergraduates (Grade 2021 and Grade 2022) enrolled at Shantou University Medical College between September 2023 and January 2025 were selected by convenience sampling. Ninety-two students from Grade 2021 were assigned to the control group, and 112 students from Grade 2022 were assigned to the intervention group. The control group received the traditional teaching syllabus before the course, used the People's Medical Publishing House question bank for self-testing, and the original static self-constructed exam question bank in the Kaoyi system for assessment. The intervention group practiced and was assessed using a student-faculty collaborative dynamic question bank based on OBE. The intervention lasted for one semester. Course performance and satisfaction were compared between the two groups.Results:The number of questions in the bank increased from 347 to 2 058. After course completion, the intervention group had higher stage test scores, final exam scores, and overall course scores than the control group ( P<0.05). The intervention group also reported higher levels of overall course satisfaction, perceived personal ability improvement, and satisfaction with course content and instructors than the control group ( P<0.05) . Conclusions:The student-faculty collaborative dynamic question bank based on OBE can effectively improve students' academic performance and satisfaction, and is worthy of wider application.

Three-dimensional(3D)printing technology,which is based on computer aided design,presents innovative solutions for clinical surgical treatments and is increasingly being utilized in clinical settings.By integrating medical-image processing software and a 3D printer with customized materials,physicians can efficiently fabricate a 3D model layer by layer,thus realizing the reconstruction of human-body models with specific objectives.These models vividly showcase the anatomical structures,fracture types,and rupture severity,thereby facilitating doctors in understanding the fracture being examined.Beyond serving as a mere demonstration tool,the physi-cal model assists doctors in designing personalized implants and selecting customized surgical guide plates and fixation screws.Surgeons can improve the surgical accuracy and efficacy by refining the surgical plan via preoperative simulation operations.This article presents a summary of the application of computer-simulation surgery in conjunction with 3D printing technology in various complex surgeries.Addi-tionally,the significant potential applications of 3D printing technology in the clinical orthopedics field are discussed.

Objective:To explore the application effect of a student-faculty collaborative dynamic question bank based on outcome based education (OBE) in the teaching of maternal and infant nursing.Methods:A total of 204 junior nursing undergraduates (Grade 2021 and Grade 2022) enrolled at Shantou University Medical College between September 2023 and January 2025 were selected by convenience sampling. Ninety-two students from Grade 2021 were assigned to the control group, and 112 students from Grade 2022 were assigned to the intervention group. The control group received the traditional teaching syllabus before the course, used the People's Medical Publishing House question bank for self-testing, and the original static self-constructed exam question bank in the Kaoyi system for assessment. The intervention group practiced and was assessed using a student-faculty collaborative dynamic question bank based on OBE. The intervention lasted for one semester. Course performance and satisfaction were compared between the two groups.Results:The number of questions in the bank increased from 347 to 2 058. After course completion, the intervention group had higher stage test scores, final exam scores, and overall course scores than the control group ( P<0.05). The intervention group also reported higher levels of overall course satisfaction, perceived personal ability improvement, and satisfaction with course content and instructors than the control group ( P<0.05) . Conclusions:The student-faculty collaborative dynamic question bank based on OBE can effectively improve students' academic performance and satisfaction, and is worthy of wider application.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Creutzfeldt-Jakob disease(CJD)is a rapidly progressive and fatal neurodegenerative disorder caused by prions,with certain infectivity and iatrogenic transmission risks.With the rapid progress and application of new dia-gnostic biomarkers and detection methods,as well as the construction and improvement of surveillance and reporting systems,the detection of CJD in patients domestically and internationally has shown an increasing trend year by year.Due to its long incubation period and heterogeneity of early symptoms,early identification and diagnosis of the disease is difficult,increasing the risk of transmission within medical institutions.Currently,there is a lack of con-sensus on the infection prevention and control of CJD.In order to timely identify and diagnose CJD as well as effec-tively block its transmission in medical institutions,this consensus summarizes 15 clinical concerns and formulates 24 specific recommendations based on the latest domestic and international research findings and clinical evidence,as well as combines with clinical practice,aiming to standardize healthcare-associated infection prevention and control measures for CJD and reduce its transmission risk in medical institutions.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To explore the value of deep learning models based on ultrafast dynamic contrast-enhanced MRI (UF-DCE MRI) in predicting malignant breast lesions.Methods:The study was a cross-sectional study. Clinical and imaging data of 347 patients with breast lesions who received treatment at Tianjin Medical University Cancer Institute and Hospital from March 2023 to January 2024 were analyzed retrospectively. A total of 347 lesions were observed in the 347 patients, including 75 benign and 272 malignant lesions. The random number method was used to divide into the training set with 243 cases and the validation set with 104 cases in a ratio of 7∶3. All patients underwent breast UF-DCE MRI and conventional dynamic-enhanced MRI (DCE-MRI). A 27-channel model (27-phase enhancement images of input UF-DCE MRI), a 3-channel model (3-phase enhancement images of input DCE-MRI), and a 1-channel model (1st-phase enhancement images of DCE-MRI) were built based on the pre-trained ResNet18 deep learning model on ImageNet. The efficacy of each model in predicting breast malignant lesions was analyzed using receiver operating characteristic curves and area under the curve (AUC). The differences of AUC were compared using DeLong test.Results:In the training and validation sets, the 27-channel model had the highest AUC for diagnosing malignant breast lesions, which were 0.848 (95% CI 0.818-0.877) and 0.784 (95% CI 0.752-0.817), respectively. DeLong test showed no statistically significant difference in the AUC values of the three models in the validation set for the diagnosis of malignant lesions of the breast in a two-by-two comparison ( P>0.05). UF-DCE MRI scans were 27 phases totaling 81 s with a temporal resolution of 3 s/phase; DCE-MRI scans were 3 phases totaling 270 s with a temporal resolution of 90 s/phase. Conclusions:The model combining UF-DCE MRI with deep learning demonstrates comparable efficacy to DCE-MRI deep learning model in diagnosing breast malignant lesions. However the UF-DCE MRI has the advantages of high temporal resolution and short scanning time, which makes this model valuable for precise diagnosis and treatment of breast cancer.