Meditation aims to guide individuals into a state of deep calm and focused attention, and in recent years, it has shown promising potential in the field of medical treatment. Numerous studies have demonstrated that electroencephalogram (EEG) patterns change during meditation, suggesting the feasibility of using deep learning techniques to monitor meditation states. However, significant inter-subject differences in EEG signals poses challenges to the performance of such monitoring systems. To address this issue, this study proposed a novel model-calibrated multi-source adversarial adaptation network (CMAAN). The model first trained multiple domain-adversarial neural networks in a pairwise manner between various source-domain individuals and the target-domain individual. These networks were then integrated through a calibration process using a small amount of labeled data from the target domain to enhance performance. We evaluated the proposed model on an EEG dataset collected from 18 subjects undergoing methamphetamine rehabilitation. The model achieved a classification accuracy of 73.09%. Additionally, based on the learned model, we analyzed the key EEG frequency bands and brain regions involved in the meditation process. The proposed multi-source domain adaptation framework improves both the performance and robustness of EEG-based meditation monitoring and holds great promise for applications in biomedical informatics and clinical practice.
Humans ; Electroencephalography/methods* ; Meditation ; Calibration ; Neural Networks, Computer ; Brain/physiology* ; Rest/physiology* ; Deep Learning ; Signal Processing, Computer-Assisted

Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotional states during multi-context interactions. To address this issue, this paper proposes a novel method for emotion transition recognition that leverages a cross-modal feature fusion and global perception network (CFGPN). Firstly, an experimental paradigm encompassing six types of emotion transition scenarios was designed, and EEG and eye movement data were simultaneously collected from 20 participants, each annotated with dynamic continuous emotion labels. Subsequently, deep canonical correlation analysis integrated with a cross-modal attention mechanism was employed to fuse features from EEG and eye movement signals, resulting in multimodal feature vectors enriched with highly discriminative emotional information. These vectors are then input into a parallel hybrid architecture that combines convolutional neural networks (CNNs) and Transformers. The CNN is employed to capture local time-series features, whereas the Transformer leverages its robust global perception capabilities to effectively model long-range temporal dependencies, enabling accurate dynamic emotion transition recognition. The results demonstrate that the proposed method achieves the lowest mean square error in both valence and arousal recognition tasks on the dynamic emotion transition dataset and a classic multimodal emotion dataset. It exhibits superior recognition accuracy and stability when compared with five existing unimodal and six multimodal deep learning models. The approach enhances both adaptability and robustness in recognizing emotional state transitions in real-world scenarios, showing promising potential for applications in the field of biomedical engineering.
Humans ; Emotions/physiology* ; Electroencephalography ; Neural Networks, Computer ; Eye Movements ; Perception

OBJECTIVE To explore suitable storage and transportation conditions for “internet plus drug delivery” under high- temperature conditions. METHODS A survey on high-temperature conditions in summer in Beijing was conducted； a retrospective analysis was conducted on “internet plus drug delivery” orders in our hospital from July 2021 to June 2022， summarizing the proportion and delivery range of drugs under different storage and transportation conditions. Additionally， simulation and validation experiments were performed to investigate optimal drug storage and transportation devices for “internet plus drug delivery” in Beijing under high-temperature conditions in summer. RESULTS The monthly average temperature in Beijing from June to August consistently exceeded 25.0 ℃ between 1991 and 2022. From July 2021 to June 2022， a total of 104 drugs were required to be stored below 25.0 ℃， accounting for 31.23% of the 333 drugs listed in our hospital’s “internet plus drug delivery” catalog in Beijing. These drugs were delivered 1 058 times， accounting for 19.63% of the total deliveries. Simulation and validation experiments demonstrated that the average maximum temperature during the next-day delivery process of “carton + foam box + composite aluminum film pearl cotton + 500 g ice bag×2 + gas column bag” was 9.6 ℃， the average minimum temperature was 2.7 ℃， and all the temperatures remained below 15.0 ℃， which could effectively ensure the quality of drugs. CONCLUSIONS Under the high-temperature conditions in summer in Beijing， the storage and transportation device of “carton + foam box + composite aluminum film pearl cotton + 500 g ice bag×2 + gas column bag” can meet the temperature requirements specified in the drug storage instructions for Beijing intra-city drug delivery.

OBJECTIVE To build a standardized simulation teaching system for resident pharmacists and evaluate its effects， and to provide reference for improving the competency of resident pharmacists. METHODS The established simulation teaching system for pharmacy residents’ standardized training in the study included revising the simulation teaching syllabus， setting up simulation teaching courses， implementing the teaching method through “six types of simulations”， applying objective structured clinical examination （OSCE） for assessment， building a simulation teaching team and strengthening the simulation teaching management. The effect evaluation was perfermed with mixed research method， and qualitative and quantitative research methods were used to collect and analyze data and information. RESULTS ＆＆CONCLUSIONS Compared with the traditional teaching system， the passing rate of graduation examination （71.4% vs. 100%） and the score of after-department examination （[ 76.2±7.8） vs. （90.4±4.9）] under the simulation teaching mode were higher； through questionnaire surveys and qualitative interviews， we found that resident pharmacists who went through simulation teaching gave positive feedback on the role and impact of this system. The simulation teaching system can be used with good generalizability for the standardized training of resident pharmacists， and can provide strong basis and support for the high-quality development of hospital pharmacy.

OBJECTIVE：To provid e reference for pharmaceutical workers to better understand Novel Coronavirus Infection ： Expert Consensus on Guidance and Prevention Strategies for Hospital Pharmacists and the Pharmacy Workforce （hereinafter referred to as “expert consensus ”），and to apply and practice in specific work ，so as to give full play to the role of pharmacists to help fight the epidemic.METHODS ：The background of the formulation and revision of the expert consensus were introduced ，and its main contents and viewpoints were interpreted. RESULTS & CONCLUSIONS ：The text of expert consensus is divided into 8 parts，mainly including disease diagnosis and treatment [SARS-CoV- 2 infection related background ，clinical manifestations and diagnosis， treatment]，hospital pharmacy （prevention and control strategy ，work guidance ），drug and facility support management（key drug/facility/equipment support ，management and use of the drug in special circumstances ），information sources and related resources ，etc.，which comprehensively and detailedly provide information ，guidance and strategies for coronavirus SARS-CoV-2 infection prevention and control to play the role of pharmacists in hospital pharmacy well ，do well in the protection of staff in different pharmaceutical posts ，drug security work in response to epidemic situation ，and develop pharmaceutical care. So far，the understanding of SARS-CoV- 2 in the pharmaceutical industry is relatively limited. Based on the accumulated experience and progress in epidemic prevention and control ，the expert consensus will be updated and improved continuously ，so as to provide guidance and help for hospital pharmaceutical personnel.

Objective To study the calcium metabolism in tacrolimus(FK506)induced rats nephrotoxicity and the preventive effect of calcium channel blocker.Methods Twenty-four Spragueinduced or FK506-induced nephropathy model.Blood creatinine,blood electrolytes,renal tissue histopathology(HE stain)and the change of ultrastructural organization in renal cells by transmission electron microscope were observed.Results The blood creatinine levels of both CsA and FK506 groups [(36.00±2.61)and(34.17±4.54)μmol/L] were significantly higher than those of the FK506+Dilgroup and control group(all P＜0.05).The blood calcium levels of both CsA and FK506 groups (2.00±0.04 and 2.05±0.04 mmol/L) were significantly lower than those of the FK506+Dil group and control group(all P＜0.05).The blood creatinine and calcium levels of FK506+Dil group were not significantly different with those of control group(P＞O.05).Histopathology examination showed cloudy swelling and vacuolization of the renal tubular epithelial cells and intra-cellular mitochondria swelling and vacuolization in the CsA and FK506 groups.However,the pathological changes of the FK506+Dil group were remarkably milder in comparison with the CsA and FK506 groups.Concluum channel blocker,Dil,could prevent the FK506-induced nephrotoxicity.

Objective To investigate the relationship between benign prostatic hyperplasia (BPH) andchronic prostatitis(CP). Methods Three hundred BPH patients were studied, aged from 51 to 96 (aver-age 72). All patients were divided into 3 groups (Ⅰ°、Ⅱ°and Ⅲ°)according to result of digital rectal examina-tion, which include 85 cases , 139 cases and 76 cases respectively. The incidence of CP among 3 groups were compared and analyzed. Results Two hundreds and thirty-five of the 300 cases with BPH were accompa-nied with CP(77.7%). Among the 233 cases, 53 cases were in Ⅰ degree BPH group (53 / 85, 62.4% ), 113 cases were in Ⅱ degree BPH group (113/139, 81.3%), 67 cases were in Ⅲ degree BPH group (67/76, 88.2%). Conclusions Many BPH patients were accompanied by CP. The prostate size and the inflamma-tion of prostate were positive correlated. The effect of anti-inflammatory treatment in Ⅰ degree and Ⅱ degreeBPH patients was better than Ⅲ degree BPH patients.