BACKGROUND:Ammonia poisoning is considered to be the main hypothesis for the pathogenesis of hepatic encephalopathy.Ammonia can lead to psychiatric and cognitive behavioral disorders,although the specific pathological molecular mechanisms remain unclear.OBJECTIVE:To investigate the effects of ammonia poisoning on cognitive behavior and hippocampal neuronal synapses in mice.METHODS:Thirty-two C57BL/6J mice were randomly divided into a normal control group and an ammonium chloride group,with 16 mice in each group.Normal saline was injected intraperitoneally in the control group,and ammonium chloride(10 mmol/kg)was injected intraperitoneally in the ammonium chloride group to construct a model of ammonia poisoning,once a day.After 7 days of ammonium chloride intervention,blood samples were collected from the hearts of six mice in each group for blood ammonia concentration detection.Behavioral experiments,including the open field test,novel object recognition test,and Y-maze test,were performed to assess mental and cognitive-behavioral changes in mice.Finally,hippocampal tissues were extracted for western blot analysis to detect the expression levels of synaptophysin and postsynaptic density protein-95 in hippocampal neurons.RESULTS AND CONCLUSION:The blood ammonia concentration was significantly elevated in the ammonium chloride group compared with the control group(P＜0.05).Mice in the ammonium chloride group showed anxiety-like behavior and disinhibition phenomenon,and a significant decrease in recognition memory and working memory ability.Western blot results revealed that the expression of synaptophysin and postsynaptic density protein-95 protein in hippocampal neurons in the ammonium chloride group was lower than that in the control group(P＜0.05).To conclude,ammonia poisoning can induce hippocampal neuronal synaptic damage,leading to psychiatric and cognitive behavioral abnormalities in mice.

BACKGROUND:Ammonia poisoning is considered to be the main hypothesis for the pathogenesis of hepatic encephalopathy.Ammonia can lead to psychiatric and cognitive behavioral disorders,although the specific pathological molecular mechanisms remain unclear.OBJECTIVE:To investigate the effects of ammonia poisoning on cognitive behavior and hippocampal neuronal synapses in mice.METHODS:Thirty-two C57BL/6J mice were randomly divided into a normal control group and an ammonium chloride group,with 16 mice in each group.Normal saline was injected intraperitoneally in the control group,and ammonium chloride(10 mmol/kg)was injected intraperitoneally in the ammonium chloride group to construct a model of ammonia poisoning,once a day.After 7 days of ammonium chloride intervention,blood samples were collected from the hearts of six mice in each group for blood ammonia concentration detection.Behavioral experiments,including the open field test,novel object recognition test,and Y-maze test,were performed to assess mental and cognitive-behavioral changes in mice.Finally,hippocampal tissues were extracted for western blot analysis to detect the expression levels of synaptophysin and postsynaptic density protein-95 in hippocampal neurons.RESULTS AND CONCLUSION:The blood ammonia concentration was significantly elevated in the ammonium chloride group compared with the control group(P＜0.05).Mice in the ammonium chloride group showed anxiety-like behavior and disinhibition phenomenon,and a significant decrease in recognition memory and working memory ability.Western blot results revealed that the expression of synaptophysin and postsynaptic density protein-95 protein in hippocampal neurons in the ammonium chloride group was lower than that in the control group(P＜0.05).To conclude,ammonia poisoning can induce hippocampal neuronal synaptic damage,leading to psychiatric and cognitive behavioral abnormalities in mice.

Objective:To rapidly and accurately detect volumetric modulated arc therapy (VMAT) plans with potentially inaccurate radiation doses.Methods:The measurement-based dosimetric verification result of 196 VMAT plans obtained using ArcCHECK phantoms were retrospectively collected. Independent dosimetric calculation and verification were conducted for these plans using the ArcherQA system based on a fast Monte Carlo algorithm. The gamma passing rates of dosimetric verification using ArcCHECK phantom and the ArcherQA system were compared, followed by their correlation analysis and linear regression fitting. The ArcherQA system′s gamma passing rate threshold used to detect positive dosimetric verification result obtained using ArcCHECK phantoms, as well as the specificity of the detection, were calculated. Based on this gamma passing rate threshold, another 50 VMAT plans were selected as a test set to assess the ArcherQA system′s ability to detect positive measurement-based dosimetric verification result.Results:The average gamma passing rates for the dosimetric verification of the VMAT plans using the ArcherQA system and ArcCHECK phantoms were 97.28% and 96.57% (3%/3 mm, TH=10%), respectively. Both rates had a correlation coefficient of 0.71 ( P < 0.01) and a linear fitting coefficient of 0.54 ( R2=0.51). When the gamma passing rate for dosimetric verification using ArcCHECK phantoms was set at 90% (3%/2 mm, TH=10%), the gamma passing rate threshold for dosimetric verification using the ArcherQA system should be adjusted to 94.8% to detect all VMAT plans with positive dosimetric verification result obtained using ArcCHECK phantoms, with a specificity of 67.8%. Using this threshold, the ArcherQA system detected all VMAT plans in the test set for which ArcCHECK phantom-based measurement yielded positive dosimetric verification result. Conclusions:By determining an appropriate gamma passing rate threshold, the ArcherQA system can rapidly and accurately detect VMAT plans with potentially inaccurate doses, thus ensuring treatment accuracy and improving work efficiency.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To develop a deep learning-based denoising model for accelerating Monte Carlo(MC)simulation of electronic portal imaging device(EPID)transit dose images.Methods A total of 500 EPID fields were collected from 100 lung cancer patients undergoing 5-field intensity-modulated radiotherapy,with 400 fields randomly selected as training set,50 fields as validation set,and 50 fields as test set.EPID transit dose image datasets with low particle counts(1×107)and high particle counts(1×109)were simulated using the GPU-accelerated MC dose calculation engine ARCHER.A denoising network model named SUNet was constructed based on Swin Transformer and U-Net,and trained using low-particle-count images as input and high-particle-count images as output.Following training,SUNet model was used to denoise low-particle-count EPID images in the test set.Denoising performance was evaluated using structural similarity index(SSIM),peak signal-to-noise ratio(PSNR),and Gamma passing rates(3%/2 mm),and the computational efficiency of MC simulation combined with SUNet model was analyzed.Results Compared with the original low-particle-count images,the SUNet-denoised images showed significantly improved quality,reduced noise points,and smoother dose distribution.When benchmarked against high-particle-count images,the SUNet-denoised images achieved an average SSIM greater than 0.9,an average PSNR higher than 32 dB,and an average gamma passing rate exceeding 90%.The MC simulation combined with SUNet model required only 1.88 s to simulate a single EPID transit dose image,representing an approximate 40-fold improvement in computational efficiency as compared with high-particle-count MC simulation.Conclusion The deep learning-based denoising model substantially accelerates MC simulation of EPID transit dose images while preserving both image quality and dose accuracy,which provides possibilities for EPID-basedin vivodose verification.

Objective:This study aims to investigate the spillover effects of the Diagnosis-Related Groups payment reform on medical expenditures.Methods:Based on the medical record data of inpatients in a tertiary Grade A hospital in Wuhan,Hubei Province,the Difference-in-Differences method was applied to estimate the impact of the DRG reform on medical expenditures for non-local patients.Results:After the implementation of DRG payment,the total medical expenses(β=-0.13),out-of-pocket expenses(β=-0.22),drug expenses(β=-0.25),consumable expenses(β=-0.26)decreased significantly.Meanwhile,the reduction ranges of the level and proportion of out-of-pocket expenses for non-local inpatients were significantly larger than those for local inpatients.However,the reduction range of the proportion of drug expenses for non-local inpatients was significantly smaller than that for local inpatients.The gaps between the two groups in terms of the level of out-of-pocket expenses and the proportion of drug expenses gradually narrowed.Conclusion:The DRG payment reform has produced a significant spillover effect,leading to a decrease in the medical expense level and an improvement in the expense structure for non-local inpatients.However,the medical expenses of non-local inpatients remain relatively high.It is suggested to accelerate the inclusion of non-local inpatients in disease-specific payment management and strengthen the coordination between the hospital's internal operation management and the reform of medical insurance payment methods.

Objective:To explore the risk factors for complications of facial autologous fat transplantation.Methods:A total of 51 female patients (case group) with moderate to severe complications following facial autologous fat transplantation at the Fourth Medical Center of Chinese PLA General Hospital from November 2016 to October 2022 were included in this retrospective study. The median age was 31.0 (27.0, 40.0) years. After age and surgical date were matched with ratio of 1∶1, a total of 51 female patients who received autologous fat transplants at several official medical facilities and experienced no complications within a year after the procedure made up the control group. The median age of the control group was 32.0 (26.0, 41.0) years. The clinical characteristics of the two groups were compared, and the factors for complications of facial autologous fat transplantation were examined using a multivariate logistic regression model.Results:In the case group, complications included facial artery embolism (7 cases), ophthalmic artery embolism (19 cases), infection (19 cases), and fat necrosis (6 cases), with 26 severe and 25 moderate cases. No significant differences were found between the two groups in age, body mass index (BMI), marital status, history of hypertension, infectious diseases, allergies, smoking, or alcohol consumption (all P>0.05). However, significant differences were observed in a history of facial surgery, perimenstrual phase, surgical site, and fat donor site (all P<0.05). Multivariate logistic regression analysis revealed that a history of facial surgery ( OR=17.289, 95% CI: 4.851-61.616, P<0.001) and the surgical site being a clinic/outpatient department (compared to a hospital, OR=7.708, 95% CI: 2.482-23.939, P<0.001) were risk factors for postoperative complications after facial autologous fat transplantation. Conclusion:A history of facial surgery and the surgical site being a clinic/outpatient department (compared to a hospital) are risk factors for complications of facial autologous fat transplantation.

Objective:To compare the clinical efficacy between microscopic varicocelectomy and laparoscopic varicocelectomy in the treatment of varicocele(VC)with male infertility.Methods:A total of 307 patients who were diagnosed with VC complicated with male infertility and admitted to the Affiliated Hospital of Qingdao University from October 2018 to October 2022 were recruited for retrospective analysis.The patients were divided into the microscopic group(180 cases)and laparoscopic group(127 cases)according to the surgery method.The pre-and postoperative clinical data of these two groups were analyzed,including the degree of dilatation and reflux time of internal spermatic vein,hemodynamic parameters of testicular capsular artery,proportion of progressive motility spermato-zoa(PR),concentration of spermatozoa,proportion of normal morphology sperm,the pregnancy outcome of spouses and the incidence of complications related with surgery within 2 years postoperatively.Results:All the surgeries for the 307 patients in this study were successful.There was no significant difference in operation time,hospitalization time and management expenses between the microscop-ic group and the laparoscopic group(P＞0.05).Compared to the patients in laparoscopic group,the patients in the microscopic group received a better improvement in venous diameter,reflux time of spermatic veins and hemodynamic parameters of testicular capsular ar-tery(P＜0.05).Moreover,the semen analysis showed that the PR,spermatozoa concentration and proportion of normal morphology sperm in the microscopic group were also obviously increased than those in the laparoscopic group(P＜0.05).During the 2-year fol-low-up period,the conception rate of spouses in the microscopic group was 67.2％,while only 47.2％in the laparoscopic group,in which the difference was statistically significant(P＜0.05).Besides,the time-to-pregnancy(TTP)within 2 years postoperatively in the microscopic group was significantly shorter than that in the laparoscopic group(P＜0.05).Meanwhile,the incidence of adverse pregnancy outcomes in the microscopic group was also significantly lower than that in the laparoscopic group(P＜0.05).It is worth mentioned that the spontaneous conception rate of spouses with successful pregnancy in the microscopic group was also significantly higher than that in the laparoscopic group(P＜0.05).Severe complication such as testicular atrophy,bleeding and infection did not appear in both of two groups.However,the incidences of testicular hydrocele and recurrence of VC postoperatively in the laparoscopic group were significantly higher than those in the microscopic group(P＜0.05).Conclusion:Both microscopic varicocelectomy and laparoscopic varicocelectomy can be applied to the management of VC combined with male infertility.But microscopic varicocelectomy showed better clinical efficacy in improving the testicular hemodynamic parameters,semen quality,pregnancy outcome and postopera-tive complications,which is worthy of further clinical applications.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Under the background of carbon peaking and carbon neutrality goals, the Ministry of Ecology and Environment, together with 15 national ministries and commissions, has formulated the Implementation Plan on Establishing a Carbon Footprint Management System, and it is urgent for traditional Chinese medicine(TCM) pharmaceutical enterprises to carry out research on carbon footprint accounting methods of related products. Based on the life cycle assessment(LCA) theory, taking mulberry leaf extract produced by a certain enterprise as an example, this study analyzed the carbon footprint of TCM extracts during the life cycle. The results show that for every 1 kg of product produced, the carbon emissions from the stages of raw material acquisition, transportation, and extract production are-20.569, 1.205, and 173.577 kgCO_2eq(CO_2 equivalent), respectively. The carbon footprint of the product is 154.213 kgCO_2eq·kg~(-1). In addition, the carbon emission is the highest in the production stage, in which the consumption of ethanol solvents makes the greatest contribution to the carbon footprint, accounting for 25.71%, more than one-fourth of the total carbon footprint. The second contribution was from the treatment process of TCM residues, accounting for 19.67%, closely followed by wastewater treatment(17.71%), the consumption of hot steam(17.43%), and drinking water(16.90%). The consumption of electric power and packaging materials has a smaller carbon emission of 2.58%. In particular, the carbon emission caused by the consumption of packaging materials is only 0.04%, which is negligible. The results of the study are expected to provide a reference for TCM enterprises to carry out research on the carbon footprint of products, offer ideas for collaborative innovation in reducing pollution and carbon emissions throughout the entire industry chain of TCM, and develop new quality productivity of modern TCM industry based on green and low-carbon manufacturing.
Morus/chemistry* ; Plant Leaves/chemistry* ; Carbon Footprint ; Drugs, Chinese Herbal/chemistry* ; Plant Extracts/analysis* ; Medicine, Chinese Traditional