Sports biomechanics mainly investigates the mechanical laws governing human movement and equipment in sports,and is an important supporting discipline in the scientific research of competitive sports.This review summarizes recent advancements in data collection and computational analysis techniques in sports biomechanics.On this basis,it focuses on the research progress in 2024 regarding the application of biomechanics in enhancing sports performance,preventing and rehabilitating sports injuries,and developing sports equipment.The aim is to provide a reference for researchers in China,broaden research perspectives,and promote the in-depth application and development of this discipline in the field of competitive sports.

Objective:To evaluate the surgical management and clinical efficacy of endoscopic operation for tympanosclerosis (TS).Methods:A retrospective analysis was conducted on 228 patients with TS who underwent endoscopic surgery at Shaanxi Provincial People′s Hospital between January 2019 and December 2023. There were 79 males and 149 females, aged 18-68 years (median 50 years). Surgical management, perforation healing rate, pre-and post-operate hearing characteristics, and complications were analyzed. The air conduction threshold values at 500 Hz, 1 000 Hz, 2 000 Hz and 4 000 Hz, average air conduction pure tune audiometry (AC-PTA), and air-bone conduction (ABG) pre-and post-operation were compared. Statistical analysis was performed using SPSS 25.0.Results:All 132 cases of type Ⅰ tympanosclerosis underwent myringoplasty. Among 55 cases with type Ⅱ tympanosclerosis, 33 (60.0%) received typeⅠand 22 (40.0%) received type Ⅱ tympanoplasty. Of 16 cases with type Ⅲ tympanosclerosis, 10 (62.5%) underwent type Ⅰand 6 (37.5%) underwent type Ⅱtympanoplasty. Among 25 cases with type Ⅳ, 5 (20.0%) underwent type Ⅰ, 13 (52.0%) type Ⅱ, and 3 (12.0%) type Ⅲ tympanoplasty, while, 4 (16.0%) underwent tympanoplasty with autologous cartilage. The average follow-up period was 8.2 months (6 months to 3 years); The overall healing rate of the tympanic perforation was (97.8%)223/228. All cases exhibited improved air conduction hearing threshold at all frequencies, AC-PTA and ABG postoperatively. The differences between types Ⅰ, Ⅱ at 500 Hz, 1 000 Hz, 2 000 Hz, 4 000 Hz, AC-PTA and ABG were statistically significant (all P<0.001 for type Ⅰ, all P<0.05 for type Ⅱ). In type Ⅲ, improvements were significant for all tested parameters except at 4 000 Hz (all P<0.05) and no statistically significant difference were found in type Ⅳ. No severe complications such as profound sensorineural hearing loss or facial nerve paralysis were encountered. Conclusion:Totally, endoscopic transcanal surgery is an effective management for tympanosclerosis, providing favorable short-term hearing outcomes with an acceptable safety profile.

Hot melt extrusion(HME)technology employs thermodynamic and kinetic principles to mix pharmaceutical polymers with crystalline drugs at high temperatures and extrude them,embedding drug molecules within the polymer matrix to form solid dispersions.Due to its solvent-free nature,capability for one-step processing,and support for continuous operation,HME has garnered significant attention in the pharmaceutical industry in recent years.This article introduced the basic principles and development history of HME technology and its marketed drugs.It reviewed the research progress of HME technology in improving drug solubility,masking taste,controlled release,targeted release,oral dispersible films,implant formulations,semi-solid formulations,and 3D printed formulations.Additionally,the article summarized the advantages and limitations of HME technology and provided an outlook on its future development.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

Aim To explore the mechanisms of PM2.5 exposure exacerbating bleomycin(BLM)-induced idio-pathic pulmonary fibrosis(IFP)by regulating ferropto-sis via nuclear factor 2 related factor 2(Nrf2)/solute carrier family 7 member 11(SLC7A11)/glutathione peroxidase(GPX)4 axis.Methods Forty C57BL/6J mice were randomized into the control,BLM,PM2.5,BLM+PM2.5 and sulforaphane(SFN,Nrf2 agonist)groups,with eight mice in each group.PM2.5 expo-sures were conducted to the BLM-induced IPF mice for two weeks.The lung function was measured,and the content of hydroxyproline(HYP)in lung tissue and the pathomorphology of lungs were observed.Reactive oxygen species(ROS),malondialdehyde(MDA),ferrous ion(Fe2+)and glutathione(GSH)of the lung tissue were measured by ELISA.The mRNA and pro-teins levels of Nrf2,SLC7A11,GPX4,collagen typeⅠ(COL-1),α-smooth muscle actin(α-SMA)were measured by quantitative polymerase chain reaction(qPCR)and Western blot.Results Compared with the control group,the lung function of mice was signif-icantly reduced(P＜0.01)in the BLM and PM2.5 groups,while lung tissue showed the characteristic pathological changes of pulmonary fibrosis such as a large number of inflammatory cell infiltration,alveolar wall fracture,thickening,collagen deposition,and sig-nificantly increased HYP,Fe2+,ROS,MDA(P＜0.05,P＜0.01),genes and proteins of COL-1,α-SMA(P＜0.01);and decreased GSH,Nrf2,SLC7A11,GPX4 genes and proteins(P＜0.05,P＜0.01).The above-mentioned lesions were markedly aggravated in the BLM+PM2.5 group compared with the BLM(P＜0.05)and PM2.5 groups(P＜0.01),and were also improved in the SFN group(P＜0.05,P＜0.01).Conclusions PM2.5 exposures can exac-erbate IPF-induced IPF in mice,and the regulating of Nrf2/SLC7 A1 1/GPX4 axis and ferroptosis might be in-volved in the related mechanisms.

Objective:To evaluate the surgical management and clinical efficacy of endoscopic operation for tympanosclerosis (TS).Methods:A retrospective analysis was conducted on 228 patients with TS who underwent endoscopic surgery at Shaanxi Provincial People′s Hospital between January 2019 and December 2023. There were 79 males and 149 females, aged 18-68 years (median 50 years). Surgical management, perforation healing rate, pre-and post-operate hearing characteristics, and complications were analyzed. The air conduction threshold values at 500 Hz, 1 000 Hz, 2 000 Hz and 4 000 Hz, average air conduction pure tune audiometry (AC-PTA), and air-bone conduction (ABG) pre-and post-operation were compared. Statistical analysis was performed using SPSS 25.0.Results:All 132 cases of type Ⅰ tympanosclerosis underwent myringoplasty. Among 55 cases with type Ⅱ tympanosclerosis, 33 (60.0%) received typeⅠand 22 (40.0%) received type Ⅱ tympanoplasty. Of 16 cases with type Ⅲ tympanosclerosis, 10 (62.5%) underwent type Ⅰand 6 (37.5%) underwent type Ⅱtympanoplasty. Among 25 cases with type Ⅳ, 5 (20.0%) underwent type Ⅰ, 13 (52.0%) type Ⅱ, and 3 (12.0%) type Ⅲ tympanoplasty, while, 4 (16.0%) underwent tympanoplasty with autologous cartilage. The average follow-up period was 8.2 months (6 months to 3 years); The overall healing rate of the tympanic perforation was (97.8%)223/228. All cases exhibited improved air conduction hearing threshold at all frequencies, AC-PTA and ABG postoperatively. The differences between types Ⅰ, Ⅱ at 500 Hz, 1 000 Hz, 2 000 Hz, 4 000 Hz, AC-PTA and ABG were statistically significant (all P<0.001 for type Ⅰ, all P<0.05 for type Ⅱ). In type Ⅲ, improvements were significant for all tested parameters except at 4 000 Hz (all P<0.05) and no statistically significant difference were found in type Ⅳ. No severe complications such as profound sensorineural hearing loss or facial nerve paralysis were encountered. Conclusion:Totally, endoscopic transcanal surgery is an effective management for tympanosclerosis, providing favorable short-term hearing outcomes with an acceptable safety profile.

Objective:To analyze the prognostic factors of patients with liver cirrhosis and portal vein thrombosis (PVT), and to construct a prognostic prediction model based on machine learning methods.Methods:The clinical data of 388 patients with liver cirrhosis and PVT admitted to the Fifth Medical Center of PLA General Hospital from January 2022 to April 2024 were retrospectively collected and analyzed, including 243 males and 145 females, aged (56.9±10.9) years. A total of 388 patients were randomly divided into the training set ( n=310) and the testing set ( n=78) in a 4∶1 ratio. The Boruta algorithm was used to screen the key features in the training set, and then four machine learning algorithms, including random forest, support vector machine, generalized linear model and Bayesian, were used to establish a survival prediction model. Model performance was evaluated by the receiver operating characteristic (ROC) curves of the test set and the training set. The patients were followed up for 1 year for survival. Sort the importance of features based on the SHAP value. Results:There were 250 patients (80.6%) who survived and 60 (19.4%) who died. The model for end-stage liver disease score, total bilirubin, serum creatinine, prothrombin time, international normalized ratio, D-dimer, white blood cell count, severe ascites ratio, and Child-Pugh grade C ratio of liver function in the death group were higher than those in the survival group, and the red blood cell count and hematocrit were lower than those in the survival group, and the differences were statistically significant (all P<0.05). The areas under the ROC curve for predicting survival by random forest, support vector machine, generalized linear model and Bayesian model were 0.92, 0.78, 0.81 and 0.71 in the training set, and the area under the ROC curve in the testing set were 0.81, 0.72, 0.67 and 0.68, respectively. Random forest had the best prediction performance, with an accuracy of 81.7%, a sensitivity of 84.6%, and a specificity of 76.9% in the testing set. In the analysis of the importance of characteristic parameters of the random forest model, total bilirubin, red blood cells, hematocrit, serum creatinine, ascites classification, etc. had a relatively high contribution to the model. Conclusion:In the survival prediction model of patients with liver cirrhosis and PVT based on machine learning algorithm, the random forest model had high prediction performance, and total bilirubin may be the most important factor affecting the survival prognosis of patients.

AIM To investigate the effects of Rutong Ruanjian Tablets on angiogenesis in cancer tissues of rats with preneoplastic breast cancer(PBC).METHODS 60 female SD rats were randomly divided into a blank group of 10 rats and a model group of 50 rats for the establishment of the PBC models of Liver-Qi Stagnation and Blood Stasis Pattern with 9 weeks of oral administration of 7,12-dimethylbenz[a]anthracene(DMBA)and cervical ligation.After successful modeling,the rats were randomly divided into the model group,the tamoxifen group(3.2 mg/kg),the Rutong Ruanjian Tablets group(128 mg/kg),the 3,5-difluorobenzoyl group(DAPT,5 mg/kg),and the Rutong Ruanjian Tablets(128 mg/kg via gavage)+DAPT(5 mg/kg intraperitoneal injection)group,for 1 month corresponding drug administration,with 10 rats in each group.Then the rats had their cancer progression and syndrome scores observed;their angiogenesis evaluated by assessment of microvascular density(MVD);their vascular endothelial growth factor(VEGF)expression assessed by immunohistochemistry;and their mRNA and protein expressions of proteins related to the DLL4/Notch1/Hes1 pathway measured using RT-qPCR,immunohistochemistry and Western blot.RESULTS During carcinogenesis of rats induced by DMBA,there was gradual disappearance of E-cadherin expression and consistency of HE staining result with the PBC progression confirming the success of the modeling.Compared with the blank group,the model group showed increased MVD values,mRNA expression of Notch1 and Hes1,and protein expressions of VEGF,DLL4,Notch1 and Hes1(P＜0.05,P＜0.01).Compared with the model group,the Rutong Ruanjian Tablets group exhibited reduced MVD values,mRNA expression of Notch1 and Hes1,and protein expressions of VEGF,DLL4,Notch1 and Hes1(P＜0.05,P＜0.01).The Rutong Ruanjian Tablets+DAPT group showed reduced mRNA expression of Notch1 and Hes1,and protein expressions of DLL4,Notch1 and Hes1 compared to the Rutong Ruanjian Tablets group(P＜0.05,P＜0.01).CONCLUSION Rutong Ruanjian Tablets can inhibit angiogenesis and attenuate cancer progression in PBC rats of Liver-Qi Stagnation and Blood Stasis Pattern,and the mechanism may lie in the downregulation of DLL4/Notch1/Hes1 signaling pathway related proteins.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

In view of the characteristics of H5N6 subtype avian influenza virus(AIV)that it has both high pathogenicity and the risk of cross-species transmission,posing a serious threat to the poultry farming industry and public health security,in order to effectively prevent and control the spread of H5N6 avian influenza,a rapid,sensitive and specific detection technolo-gy was established in this study.The specific monoclonal antibodies against the neuraminidase N6 protein of avian influenza A virus subtype H5N6 were obtained through hybridoma and monoclonal antibody technology.These antibodies were coupled and labeled with carboxyl-functionalized fluorescent quantum dots,along with previously prepared specific antibodies against the hemagglutinin H5 protein.A rapid fluorescence immunochromatographic detection method for the H5N6 subtype of avian influ-enza virus was established according to the principle of double-antibody sandwich immunochromatography.This method a-chieved a detection sensitivity of 1 ng/mL for recombinant hemagglutinin H5 subtype protein and 0.1 ng/mL for recombinant neuraminidase N6 subtype protein.Moreover,the method exhibited no cross-reactivity with other influenza subtypes or patho-gens,such as Newcastle disease(ND),infectious bronchitis(IB),and infectious laryngotracheitis(ILT),thus demonstrating good specificity.The method effectively identified the highly pathogenic avian influenza virus H5 subtype and directly distin-guished the H5N6 subtype with good accuracy.The fluorescent quantum dot immunochromatographic typing detection method established herein met the sensitivity,specificity,and accuracy requirements for H5N6 subtype detection,and can be further used for rapid detection of the H5 and H5N6 subtypes of avian influenza virus.