ObjectiveTo address the shortage of high-caliber multidisciplinary professionals in China's rehabilitation engineering field and the prominent issue of "separation between medicine and engineering" in existing curricula, this study introduces the World Health Organization rehabilitation competency framework (RCF) to construct a systematic curriculum system for rehabilitation engineering. MethodsGuided by the four core competency domains of RCF (practice, professionalism, learning and development, management and leadership) and their associated supporting knowledge, the rehabilitation engineering curriculum was restructured into a modular framework, piloted and validated within the Biomedical Engineering (Intelligent Robotics) program at University of Health and Rehabilitation Sciences. ResultsA four-tiered curriculum system comprising General Education-Disciplinary Platform-Professional Core-Diverse Electives with a total of 160 credits was established, achieving precise mapping between competency objectives and course content. The students in the pilot cohort demonstrated outstanding academic performance (50% ranked in the top ten of their major), they also gained a deeper understanding and mastery of interdisciplinary knowledge integrating medicine and engineering. ConclusionThe RCF-based curriculum system effectively promotes the organic integration of medical and engineering knowledge, providing an internationally aligned competency-oriented paradigm for rehabilitation engineering talent cultivation, which holds significant value for broader application.

OBJECTIVE To clarify the current development status of clinical pharmacist training bases and the pharmacist workforce in China， and to provide evidence for standardizing base construction and promoting the high-quality development of hospital pharmacy. METHODS Questionnaires were distributed to all clinical pharmacist training bases for urgently-needed health professionals and clinical pharmacist training bases under the Chinese Hospital Association that had been approved by the end of 2023 to collect data including base profiles and pharmacist staffing conditions. Expert teams carried out field investigations to verify the collected data. Descriptive statistical analyses were conducted on the quantity， type and regional distribution of training bases， and the influencing factors of pharmacist staffing in the bases were analyzed. RESULTS Field surveys were completed covering 297 training bases across 31 provincial-level administrative regions. Among the base hospitals， 87.88% were Grade A tertiary general hospitals， and 65.32% were located in provincial capitals. The eastern region had the largest number of bases （136， accounting for 45.79%）， followed by the western region （79， 26.60%）. Great disparities existed among provinces in terms of base quantity and hospital scale. The median proportion of pharmaceutical technical personnel in base hospitals was 4.05%， and the median number of clinical pharmacists per 100 hospital beds was 0.53. Both indicators reached the highest in the eastern region （0.57， 4.43%） and the lowest in the northeastern region （0.45， 3.01%）. A total of 3 627 full-time clinical pharmacists were employed in all surveyed bases， among whom 83.68% held clinical pharmacist training certificates， 35.43% possessed senior professional titles， and 78.19% had postgraduate or higher educational background. The total annual training capacity of the surveyed bases was 4 291 trainees， with obvious differences in annual training capacity across regions and provinces. Training specialties covered 19 specialized disciplines plus one general discipline， and no province could deliver training for all 20 specialties simultaneously. Multivariate Logistic regression analysis showed that geographic region exerte d a significant impact on the proportion of pharmaceutical technical personnel （≥4%） （ P ＜0.05）， while the approval time of training bases and hospital scale had significant effects on the number of clinical pharmacists per 100 beds （≥0.6） （ P ＜0.05）. CONCLUSIONS China’s clinical pharmacist training system has basically matured and taken initial shape. The distribution of clinical pharmacist training resources is generally consistent with regional population and economic development levels. However， the allocation of pharmaceutical staff and clinical pharmacists has not yet met national standards and clinical service demands.

OBJECTIVE To clarify the current development status of clinical pharmacist training bases and the pharmacist workforce in China， and to provide evidence for standardizing base construction and promoting the high-quality development of hospital pharmacy. METHODS Questionnaires were distributed to all clinical pharmacist training bases for urgently-needed health professionals and clinical pharmacist training bases under the Chinese Hospital Association that had been approved by the end of 2023 to collect data including base profiles and pharmacist staffing conditions. Expert teams carried out field investigations to verify the collected data. Descriptive statistical analyses were conducted on the quantity， type and regional distribution of training bases， and the influencing factors of pharmacist staffing in the bases were analyzed. RESULTS Field surveys were completed covering 297 training bases across 31 provincial-level administrative regions. Among the base hospitals， 87.88% were Grade A tertiary general hospitals， and 65.32% were located in provincial capitals. The eastern region had the largest number of bases （136， accounting for 45.79%）， followed by the western region （79， 26.60%）. Great disparities existed among provinces in terms of base quantity and hospital scale. The median proportion of pharmaceutical technical personnel in base hospitals was 4.05%， and the median number of clinical pharmacists per 100 hospital beds was 0.53. Both indicators reached the highest in the eastern region （0.57， 4.43%） and the lowest in the northeastern region （0.45， 3.01%）. A total of 3 627 full-time clinical pharmacists were employed in all surveyed bases， among whom 83.68% held clinical pharmacist training certificates， 35.43% possessed senior professional titles， and 78.19% had postgraduate or higher educational background. The total annual training capacity of the surveyed bases was 4 291 trainees， with obvious differences in annual training capacity across regions and provinces. Training specialties covered 19 specialized disciplines plus one general discipline， and no province could deliver training for all 20 specialties simultaneously. Multivariate Logistic regression analysis showed that geographic region exerte d a significant impact on the proportion of pharmaceutical technical personnel （≥4%） （ P ＜0.05）， while the approval time of training bases and hospital scale had significant effects on the number of clinical pharmacists per 100 beds （≥0.6） （ P ＜0.05）. CONCLUSIONS China’s clinical pharmacist training system has basically matured and taken initial shape. The distribution of clinical pharmacist training resources is generally consistent with regional population and economic development levels. However， the allocation of pharmaceutical staff and clinical pharmacists has not yet met national standards and clinical service demands.

OBJECTIVE To investigate the current status of quality management in clinical pharmacist training bases in China， and to provide references for the standardized development and improvement of these bases. METHODS A combined approach of questionnaire survey and on-site investigation was adopted， targeting the healthcare highly sought-after talent （clinical pharmacist） training bases in 31 provinces of China as well as the clinical pharmacist training bases affiliated with the Chinese Hospital Association. A training quality management evaluation index system consisting of 25 tertiary indicators was established. Investigations were conducted from two dimensions： structural quality of training and quality management of training processes. Data were statistically analyzed using descriptive statistical methods. RESULTS On-site investigations were completed for 297 clinical pharmacist training bases across the 31 provinces， among which 284 were affiliated with the Chinese Hospital Association and 271 were healthcare highly sought-after talent （clinical pharmacist） training bases. In terms of structural quality， the core indicator compliance rate for hospital-level training systems exceeded 80%， the rate of special fund utilization for designated purposes reached 80.13%， and the overall compliance rate for software and hardware facilities surpassed 88%. A total of 1 348 preceptors were employed across the training bases， among whom those with senior professional titles and full-time specialist clinical pharmacists as lead preceptors accounted for 62.91% and 94.36%， respectively. Regarding process quality， the compliance rate for “establishment of clinical practice teaching groups in accordance with regulations during clinical department rotations” was 85.19%， and 79.80% and 76.09% of the bases were found to implement strict confidentiality in theoretical examinations and meet the required scale of assessment cases， respectively. However， formal documents of corresponding training management regulations were formulated in only 57.91% of the bases， and the completeness and standardization rate of training manual completion was merely 47.47%. In addition， considerable disparities in quality management levels were observed among provinces， with issues in training process quality being particularly prominent. CONCLUSIONS The management system， hardware facilities， and preceptor staffing of clinical pharmacist training bases in China are relatively well-established， yet notable variations in quality management exist among training bases across different provinces.

Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.

ObjectiveThe utilization of assisted reproductive technology to rescue genetically modified mouse strains with reproductive disorders provides a reference for improving techniques to preserve valuable experimental mouse strains. MethodsIn vitro fertilization-embryo transfer (IVF-ET) technology was performed on 28 strains of infertile male mice aged 9-18 months. Several indicators such as sperm density and sperm motility in infertile male mice were assessed to select the most viable sperm for IVF-ET experiments. Fertility rate, abnormal egg rate, and birth rate were recorded after the birth of the pups. An optimized ovarian transplantation procedure was applied to 12 strains of infertile female mice aged 8-18 months. 6-week-old female mice with the same genetic background were selected as recipients. One intact ovary was removed from each recipient mouse, and the contralateral oviduct was ligated. An ovary from a donor mouse was isolated and transplanted orthotopically into the side where the ovary had been removed in the recipient mouse. Twenty-one days post-surgery, recipient mice were co-housed with 8-week-old wild type male mice of the same genetic background for breeding. Data such as the pregnancy rate and live birth rate of the recipients were recorded after the birth of the pups. ResultsIVF-ET successfully rescued 28 mouse strains, with the oldest male mice being 18 months old. The success rate of the first round of IVF-ET experiments was 89.29% (25/28). The average fertility rate of IVF in infertile male mice was (51.01±14.97)%, the abnormal egg rate was (9.03±5.28)%, and the birth rate of offspring mice was (18.60±7.03)%. 39 out of 40 ovarian transplant recipient mice survived, with a pregnancy rate of 33.33% (13/39) for ovarian transplant recipients, and a live birth rate of 17.95% (7/39). Four mouse strains were successfully rescued using optimized ovarian transplantation technology, with the oldest female mice being 18 months old. 8 strains were not rescued as they failed to produce offspring that survived to sexual maturity. ConclusionIVF-ET is an effective approach for rescuing mice with reproductive disorders caused by different reasons, especially for those beyond the optimal breeding age. Ovarian transplantation technology can also be used as an alternative for aged female mice. But its success rate is relatively lower than that of IVF-ET, and carries a higher experimental risk.

Objective:To investigate ⅰ)the therapeutic effects of different doses of recombinant human prourokinase(rh-proUK)on patients with ST segment elevation myocardial infarction(STEMI)undergoing percutaneous coronary inter-vention(PCI),and ⅱ)its impact on peripheral blood P-selectin(CD62p)and Adropin levels.Methods:This randomized control study enrolled 132 STEMI patients undergoing PCI in Weinan Second Hospital between June 2020 and June 2023.Patients were randomly divided into control group(n=44,routine medication),low dose group(n=44,10 mg rh-proUK therapy)and high dose group(n=44,20 mg rh-proUK therapy).Therapeutic effective rate,myocardial perfu-sion immediate after operation,cardiac function,peripheral blood CD62p and Adropin levels,incidence of major adverse cardiovascular events(MACE)within 1 month after operation were compared among three groups.Results:Compared to patients in control group,those in high dose group had significantly higher total effective rate(95.5％vs.54.6％),pro-portions of TIMI myocardial perfusion grade(TMPG)grade 3(86.4％vs.25.0％)and ST segment resolution above 30％(∑STR≥30％)(88.6％vs.59.1％),stroke volume(SV)[(76.81±24.47)ml vs.(61.89±14.84)ml]and cardiac output(CO)[(6.48±1.45)L/min vs.(5.48±1.98)L/min],and significantly lower corrected TIMI frame count(CT-FC)[(31.80±6.32)frames vs.(52.39±7.14)frames],CD62p[(70.52±9.54)％vs.(82.42±12.44)％],Adropin[(82.48±9.55)pg/ml vs.(94.48±10.53)pg/ml]and total incidence of MACE(9.1％vs.38.6％)(P＜0.05 or＜0.01).Compared to those in low dose group,patients in high dose group had significantly higher total effective rate,pro-portions of TMPG grade 3 and ∑STR≥30％,SV and CO,and significantly lower CTFC,CD62p,Adropin and total inci-dence of MACE(P＜0.05 or＜0.01).Conclusion:The therapeutic effect of 20 mg rh-proUK on STEMI patients under-going PCI is significantly better than that of 10 mg,which could improve cardiac function,reduce CD62p,Adropin levels,and incidence of major adverse cardiovascular events.

Objective:To analyze the influencing factors of postoperative intestinal adhesion in patients undergoing laparoscopic cholecystectomy(LC),and to construct a nomogram prediction model based on this.Methods:A total of 265 patients who underwent LC in our hospital from November 2021 to March 2025 were retrospectively selected and randomly divided into a training set(185 cases)and a validation set(80 cases)according to the ratio of 7∶3.According to the presence or absence of postoperative intestinal adhesion,185 patients in the training set were divided into occur-rence group(28 cases)and non-occurrence group(157 cases).In the validation set,13 cases occurred and 67 cases did not occur.The clinical data of patients were collected to analyze the influencing factors of postoperative intestinal adhe-sion,and a nomogram model was constructed based on this.The receiver operating characteristic(ROC)curve was used to analyze the predictive efficacy of the prediction model on the risk of postoperative intestinal adhesion.Decision curve analysis(DCA)was used to analyze the clinical benefit of the prediction model.Result:The proportion of patients aged≥65 years,complicated with diabetes,indwelling drainage tube,residual abdominal infection,and WBC level in the occurrence group were higher than those in the non-occurrence group(P<0.05).Logistic regression analysis showed that age(OR=3.025,95%CI:1.453-6.296),diabetes(OR=3.836,95%CI:1.557-9.450),indwelling drainage tube(OR=5.312,95%CI:1.898-14.864)and residual abdominal infection(OR=6.174,95%CI:2.914-13.079)were independent influencing factors for postoperative intestinal adhesion(P<0.05).The corresponding risk rate of the nomogram model based on Logistic results ranged from 0.10 to 0.80,and the C-index was 0.842(95%CI:0.765-0.919).The calibration curve of predicting postoperative intestinal adhesion was close to the ideal curve(P>0.05).The ROC of the training set showed that the sensitivity and specificity of the model in predicting postoperative intestinal adhesion were 85.70%and 88.50%,respectively,and the area under the curve(AUC)was 0.882(P<0.05).In the validation set,the sensitivity,speci-ficity and AUC of ROC curve were 81.30%,84.10%and 0.860(P<0.05),respectively.DCA curve showed that the pre-diction model could obtain the maximum clinical benefit at the threshold probability of 0-0.23.Conclusion:The pre-diction model based on age,diabetes,indwelling drainage tube and residual abdominal infection has a good predictive value for the risk of intestinal adhesion after LC.