Objective To investigate the clinical effects of different right lung volume reduction techniques when the donor lung is oversized and mismatched with the recipient. Methods Clinical data of 10 recipients who underwent right lung volume reduction lung transplantation at the First Affiliated Hospital of Xi'an Jiaotong University from October 2022 to June 2024 were collected, including gender, age, primary disease type, and type of transplantation. A retrospective analysis was performed on postoperative complications within 90 days, duration of mechanical ventilation, hospital stay, and survival status to explore the impact of different volume reduction techniques on the survival rate of lung transplant recipients. Results A total of 10 right lung volume reduction recipients were included in this study, with 2 cases of upper lobe reduction, 7 cases of middle lobe reduction, and 1 case of lower lobe reduction. Three recipients developed airway complications (one each with upper, middle, and lower lobe reduction). The 30-day survival rate was 90% and the 1-year survival rate was 70%. One recipient with upper lobe reduction died of septic shock during the perioperative period, one with lower lobe reduction died of airway anastomotic fistula 2 months after surgery, and one with middle lobe reduction died of renal insufficiency 1 year after surgery. All 7 recipients with middle lobe reduction successfully passed the perioperative period, with one case of airway anastomotic stenosis (1/7). The average duration of mechanical ventilation was 71 hours, and the average hospital stay was 26 days. The 30-day survival rate was 7/7, and the 1-year survival rate was 6/7. Conclusions Middle lobe reduction in right lung transplantation surgery has the advantages of low incidence of airway complications, good safety, and minimal loss of lung function, and may be a better right lung volume reduction option with potential for application.

Chronic cerebral hypoperfusion (CCH) plays an important role in the occurrence and development of vascular dementia (VD). Recent studies have indicated that multiple stages of immune-inflammatory response are involved in the process of cerebral ischemia, drawing increasing attention to immune therapies for cerebral ischemia. This study aims to identify potential immune therapeutic targets for CCH using bioinformatics methods from an immunological perspective. We identified a total of 823 differentially expressed genes associated with CCH, and further screened for 9 core immune-related genes, namely RASGRP1, FGF12, SEMA7A, PAK6, EDN3, BPHL, FCGRT, HSPA1B and MLNR. Gene enrichment analysis showed that core genes were mainly involved in biological functions such as cell growth, neural projection extension, and mesenchymal stem cell migration. Biological signaling pathway analysis indicated that core genes were mainly involved in the regulation of T cell receptor, Ras and MAPK signaling pathways. Through LASSO regression, we identified RASGRP1 and BPHL as key immune-related core genes. Additionally, by integrating differential miRNAs and the miRwalk database, we identified miR-216b-5p as a key immune-related miRNA that regulates RASGRP1. In summary, the predicted miR-216b-5p/ RASGRP1 signaling pathway plays a significant role in immune regulation during CCH, which may provide new targets for immune therapy in CCH.
Humans ; Computational Biology/methods* ; Brain Ischemia/therapy* ; Immunotherapy ; MicroRNAs/genetics* ; Signal Transduction ; Dementia, Vascular/genetics* ; Chronic Disease

OBJECTIVE: To explore the advantages and effectiveness of the independently developed intelligent orthopedic robot-assisted distal locking of femoral intramedullary nails. METHODS: Thirty-two adult cadaveric femur specimens were randomly divided into two groups, with 16 specimens in each group. The experimental group used the intelligent orthopedic robot to assist in the distal locking of femoral intramedullary nail holes, while the control group used the traditional method of manual locking under X-ray fluoroscopy. The locking time, fluoroscopy times, and the success rate of first locking were recorded and compared between the two groups. RESULTS: The locking time of the experimental group was (273.94±38.67) seconds, which was shorter than that of the control group [(378.38±152.72) seconds], and number of fluoroscopies was (4.56±0.81) times, which was less than that of the control group [(8.00±3.98) times]. The differences were significant [ MD=73.054 (-37.187, 85.813), P=0.049; MD=1.969 (-1.437, 2.563), P=0.002]. The first locking success rate of the experimental group was 100% (16/16), which was significantly higher than that of the control group (68.75%, 11/16) ( P=0.043). CONCLUSION The efficiency of distal locking of femoral intramedullary nails assisted by the intelligent orthopedic robot is significantly higher than that of the traditional manual locking method under fluoroscopy, as it can markedly reduce the time required for distal locking of femoral intramedullary nails, decrease intraoperative radiation exposure, and increase the success rate of locking.
Humans ; Fracture Fixation, Intramedullary/instrumentation* ; Bone Nails ; Fluoroscopy ; Femur/diagnostic imaging* ; Femoral Fractures/surgery* ; Robotic Surgical Procedures/instrumentation* ; Cadaver ; Adult ; Robotics ; Male

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective In response to the practical issues of pilot ground simulation ejection training relying on subjective evaluation,which requires high professionalism and lacks objectivity and systematicity,an objective evaluation system and method for ejection training based on pressure detection has been designed.Methods According to the rules of ejection training about posture,maneuver and time,and utilizing technologies such as pressure detection,infrared detection,and time-triggered detection,this paper designed separate modules for ejection posture detection,ejection timing detection,and comprehensive analysis and evaluation.These modules are closely integrated with the ejection training process,achieving objective evaluation of the ejection training.Results This system and method can provide a scientific and real-time objective evaluation of the posture,movements,and time in ejection training without affecting the normal organization and process.Conclusion The objective evaluation system can provide a new approach that is highly objective and easy to operate for comprehensively evaluating and enhancing the effectiveness of ejection training,as well as for scientifically conducting ejection training and assessment.

With the rapid development of aviation technology,the ability of pilots to fly successfully and safely has attracted much attention.Improving pilots'emergency evacuation capabilities is the responsibility of every aviation worker.The injury caused by pilot parachute jumping is an important issue in flight safety.During the parachute jumping process,the pilot will be subjected to various impact forces and aerodynamic forces,which can cause damage to the pilot's spine,nervous system,circulatory system,and multiple parts of the body,and even endanger lift.This article focuses on exploring the characteristics of pilot ejection parachute injuries,categorizing and summarizing them according to the location and factors of the injuries,and analyzing their protective strategies.Targeted ground ejection simulation training is conducted for pilots in different batches to improve the combat effectiveness of the armies.

Objective A new type fighter pilot's helmet comfort was investigated to provide basis for generalization and popularization.Methods A quantitative questionnaire was designed to evaluate the comfort of current helmets and new helmets by pilots of series A and B fighters,and compare the new helmets with the current helmets.Thirdly,quantitative statistics of questionnaires were carried out to analyze the pilot's opinions on current helmets and new helmets.Based on the structure and quality characteristics of current helmets and new helmets,the investigation results were analyzed and discussed.Results A total of 167 pilots from series A and B fighter aircraft participated in trial wear and questionnaire investigation of new helmets.Among them,103 pilots from series A fighters and 64 pilots from series B fighters.Compared with the pilot's current helmet,the new helmet is lightweight and comfortable.Among them,92.2%of the pilots of the series A believe that the new helmet is more comfortable than the current helmet,and 90.3%of pilots think it is necessary to replace the current helmet with the new helmet.90.6%of the pilots of the Series B think the new helmet is more comfortable than the current helmet,and 92.2%of pilots think it is necessary to replace the current helmet with the new helmet.Conclusion The new fighter pilot's helmet is light and comfortable,and has been widely praised by pilots.The research results provide data support and decision-making basis for its universalization and popularization.

Identifying drug-drug interactions(DDIs)is essential to prevent adverse effects from polypharmacy.Although deep learning has advanced DDI identification,the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits.Here,we developed a Multi-Dimensional Feature Fusion model named MDFF,which integrates one-dimensional simplified molec-ular input line entry system sequence features,two-dimensional molecular graph features,and three-dimensional geometric features to enhance drug representations for predicting DDIs.MDFF was trained and validated on two DDI datasets,evaluated across three distinct scenarios,and compared with advanced DDI prediction models using accuracy,precision,recall,area under the curve,and F1 score metrics.MDFF achieved state-of-the-art performance across all metrics.Ablation experiments showed that integrating multi-dimensional drug features yielded the best results.More importantly,we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs.Among 12 real-world adverse drug reaction reports,the predictions of 9 reports were supported by relevant evidence.Additionally,MDFF demon-strated the ability to explain adverse DDI mechanisms,providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

Objective:To analyze the epidemiological features of respiratory syncytial virus (RSV) infection in Beijing, and monitor the sequence variations in RSV glycoprotein (G) gene and clinical features of infected children.Methods:Respiratory tract specimens were collected from children with acute respiratory infection in the Children′s Hospital Affiliated to Capital Institute of Pediatrics from January 1, 2023 to December 31, 2023. RSV-positive specimens screened by multiple nucleic acid testing were subjected to PCR to amplify the full-length RSV G gene. A phylogenetic tree was constructed after gene sequencing to analyze RSV subtypes and trace G gene variants. Clinical data were retrieved from the medical record system to analyze the clinical features of children with RSV infection in Beijing.Results:A total of 5 489 respiratory specimens were collected from 3 046 male patients and 2 443 female patients. The average age of the patients was 4.36 years. A total of 589 RSV-positive specimens (10.7%, 589/5 489) were detected with 349 from male patients and 240 from female patients. The average age of children with RSV infection was (2.51±2.78) years and the median age was 0.48 years. RSV had been circulating among children in Beijing since March 2023 with two epidemic peaks in May (24.6%, 122/496) and December (18.2%, 126/693). The predominant subtype of RSV in the first half of 2023 was subtype A, but it was replaced by subtype B from November 2023. Phylogenetic analysis revealed a novel G gene of RSV subtype B (RSV-B-BA9-954bp) with a length of 954 bp, which belonged to a new cluster in the phylogenetic tree. The percentage of patients admitted to the Intensive Care Unit (ICU) was higher in children with new variant of RSV subtype B infection than in those with common RSV subtype B infection [44.1% (15/34) vs 25.2% (31/123), χ 2=4.600, P=0.032], while the counts of white blood cells and the levels of C-reactive protein were lower in the children with new variant infection ( P<0.05). Conclusions:RSV has been prevalent among children in Beijing since March 2023 with two epidemic peaks. The predominant A subtype is gradually replaced by to B subtype. A new variant of RSV B G gene (RSV-B-BA9-954bp) is detected among the children.

Objective:To investigate the clinical features, diagnosis and treatment of oblique vaginal septum syndrome (OVSS).Methods:The clinical data of 80 patients with OVSS admitted to The Second Hospital of Hebei Medical University from July 2005 to July 2023 were retrospectively analyzed. According to the classification system of OVSS proposed by Female Genital Anomalies Study Group, Chinese Obstetricians and Gynecologists Association in 2021, the patients were divided into four groups. The clinical manifestations, accompanied urinary system abnormalities, diagnosis and treatment methods and treatment outcomes were observed.Results:According to the above classification system, among the 80 patients with OVSS, 35 patients (44%, 35/80) were categorized as type Ⅰ, 33 patients (41%, 33/80) were categorized as type Ⅱ, 2 patients (3%, 2/80) were categorized as type Ⅲ and 10 patients (13%, 10/80) were categorized as type Ⅳ. The main onset symptom of patients was periodic abdominal pain (70%, 56/80), vaginal bleeding (20%, 16/80), dysuria or fecal impaction (15%, 12/80), vaginal mucopurulent discharge (10%, 8/80). The morbidity of combined urinary system abnormalities was 88% (70/80), and the most common urinary system abnormality was ipsilateral renal agenesis (81%, 65/80). Bilateral kidneys were normal in 13% (10/80) patients, and 6% (5/80) were combined with other urinary system abnormalities. A total of 74 patients underwent vaginal oblique septectomy or septum excision. Five of the 10 patients with type Ⅳ underwent hysterectomy on the cervical atresia side, 4 patients received hysteroscopy combined with cervicoplasty+oblique septotomy or septum excision, and one patient selected delayed menstruation. Two patients underwent laparoscopic resection of the dysplasia kidney and ectopic ureter which opening to the vagina. Eleven patients with endometriosis cyst, hydrosalpinx or empyema underwent laparoscopic surgery.Conclusions:The main symptom of type Ⅰ and Ⅳ patients is abdominal pain, while the main symptom of type Ⅱ and Ⅲ patients is bleeding. Magnetic resonance imaging (MRI) has advantages in the evaluation of complex OVSS, and MRI is recommended before operation to exclude other axial reproductive tract dysplasia and complex urinary system dysplasia. If there is leakage of urine, vaginal discharge or complex deformity, it is necessary to multidisciplinary discussion and formulate a reasonable surgical plan. The first treatment is related to the prognosis of patients especially children, and should be highly valued.