Prenatal exposure to bisphenols and metals has raised significant concerns regarding their potential impact on fetal development,particularly the risk of fetal chromosome numerical abnormalities(CNA).In this case-cont...Prenatal exposure to bisphenols and metals has raised significant concerns regarding their potential impact on fetal development,particularly the risk of fetal chromosome numerical abnormalities(CNA).In this case-control study,we analyzed bisphenol and metal concentrations in amniotic fluid of high-risk pregnant women undergoing amniocentesis.Concentrations of bisphenols and metals were measured using ultra-performance liquid chromatography-tandem mass spectrometry and inductively coupled plasma-mass spectrometry,respectively.Logistic regression and quantile-based g-computation were applied to evaluate individual and combined effects,while dose-response relationships were assessed using restricted cubic splines.Our findings indicated that bisphenol S(BPS),bisphenol Z(BPZ),bisphenol AF(BPAF),antimony(Sb),and vanadium(V)were significantly associated with an increased risk of CNA when analyzed individually,whereas manganese,iron,copper(Cu),nickel(Ni),and zinc(Zn)were significantly and inversely associated with CNA risk.Combined exposure to bisphenol and metal mixtures was associated with an increased risk of CNA in multi-pollutant models.Cu and Ni exhibited a positive additive interaction.Furthermore,BPS,BPZ,and BPAF were individually associated with an increased risk of Down syndrome,while Zn was associated with a decreased risk of Down syndrome.BPS,Sb,V,and Zn were individually associated with an increased risk of Klinefelter syndrome.These findings underscore the potential role of prenatal bisphenol and metal exposure in the pathogenesis of fetal CNA,highlighting both additive and synergistic effects.展开更多
BACKGROUND An echocardiogram is an essential tool in the evaluation of potential kidney transplant recipients(KTRs).Despite cardiac clearance,potential KTRs still have structural and functional abnormalities.Identifyi...BACKGROUND An echocardiogram is an essential tool in the evaluation of potential kidney transplant recipients(KTRs).Despite cardiac clearance,potential KTRs still have structural and functional abnormalities.Identifying the prevalence of these abnormalities and understanding their predictors is vital for optimizing pretransplant risk stratification and improving post-transplant outcomes.AIM To determine the prevalence of left ventricular hypertrophy(LVH),left ventricular systolic dysfunction(LVSD),diastolic dysfunction(DD),pulmonary hypertension(PH),and their predictors,and to assess their impact on graft function in pre-transplant candidates.METHODS The study included all successful transplant candidates older than 14 who had a baseline echocardiogram.Binary logistic regression models were constructed to identify factors associated with LVH,LVSD,DD,and PH.RESULTS Out of 259 patients,LVH was present in 64%(166),12%(31)had LVSD,27.5%(71)had DD,and 66(25.5%)had PH.Independent predictors of LVH included male gender[odds ratio(OR):2.51;95%CI:1.17-5.41 P=0.02],PH(OR=2.07;95%CI:1.11-3.86;P=0.02),DD(OR:2.47;95%CI:1.29-4.73;P=0.006),and dyslipidemia(OR=1.94;95%CI:1.07-3.53;P=0.03).Predictors for LVSD included patients with DD(OR=3.3,95%CI:1.41-7.81;P=0.006)and a family history of coronary artery disease(OR=4.50,95%CI:1.33-15.20;P=0.015).Peritoneal dialysis was an independent predictor for DD(OR=10.03;95%CI:1.71-58.94,P=0.011).The presence of LVH(OR=3.32,95%CI:1.05-10.55,P=0.04)and mild to moderate or moderate to severe mitral regurgitation(OR=4.63,95%CI:1.45-14.78,P=0.01)were significant factors associated with PH.These abnormalities had no significant impact on estimated glomerular filtration at discharge,6 months,1 year,or 2 years post-transplant.CONCLUSION Significant echocardiographic abnormalities persist in a potential transplant candidate despite cardiac clearance,although they don’t affect future graft function.Understanding the risk factors associated with these abnormalities may help clinicians address these factors pre-and post-transplant to achieve better outcomes.展开更多
AIM:To define the prevalence and anatomical patterns of paranasal sinus abnormalities(PSA)in thyroid-associated ophthalmopathy(TAO)and to test the hypothesis that TAO is partially driven by contiguous orbital inflamma...AIM:To define the prevalence and anatomical patterns of paranasal sinus abnormalities(PSA)in thyroid-associated ophthalmopathy(TAO)and to test the hypothesis that TAO is partially driven by contiguous orbital inflammation rather than systemic autoimmunity or generalized orbital pressure.METHODS:Data included ophthalmic assessments and a panel of thyroid function and autoimmune biomarkers.Blinded radiological analysis of orbital computed tomography(CT)scans was performed to quantify sinus abnormalities and extraocular muscles(EOMs)involvement.Patients were categorized into two groups based on CT findings,those with no radiological evidence of sinus abnormalities(non-PSA control group)and those with identifiable PSA.Furthermore,ethmoid sinus mucosal biopsies from a subset of TAO patients and noninflammatory controls were subjected to histopathological analysis.RESULTS:Totally 121 TAO patients(mean age 42.4±12.8y,range 10-78y),male:female=42:79,were included.PSA was identified in 44.6%(n=54)of patients,with a distribution anatomically restricted to the maxillary(50.0%isolated)and ethmoid sinuses(18.5%isolated;29.6%combined).Compared to the non-PSA group(n=67),patients with PSA were significantly older(45.1±11.8 vs 40.3±13.2y;P=0.040)and were more likely to be male(55.6%vs 17.9%;P<0.001).They also had significantly higher proptosis(22.1±3.2 vs 20.7±2.9 mm;P<0.001).Medial/inferior rectus involvement was most frequent(88.4%vs 89.3%).Histopathological analysis of sinus mucosa from PSA patients provided direct evidence of pathology,revealing a dense,chronic lymphoplasmacytic infiltrate and submucosal edema,validating the radiological findings as a true inflammatory process.No significant correlation was found with systemic autoimmune markers,including thyroid-stimulating hormone(TSH)receptor antibodies(TRAb,median 4.86 vs 2.71 IU/L,P=0.104).CONCLUSION:TAO is associated with a high prevalence of PSA in a pattern consistent with the orbital anatomy.The correlation with ipsilateral muscle thickening combined with the lack of association with proptosis laterality or systemic biomarkers lend strong support to a model of contiguous inflammation over systemic autoimmunity,a hypothesis that warrants further validation through longitudinal and mechanistic studies.展开更多
Nail changes following upper extremity transplantation(UET)cannot be overlooked as they possess diagnostic and prognostic relevance in allotransplantation of upper limbs.This comprehensive review explores nail and nai...Nail changes following upper extremity transplantation(UET)cannot be overlooked as they possess diagnostic and prognostic relevance in allotransplantation of upper limbs.This comprehensive review explores nail and nail bed related changes encountered in UET recipients in the literature.The differential diagnosis of nail abnormalities in UET includes a wide range of systemic,local and iatrogenic conditions other than immune responses to the allograft.It requires interdisciplinary evaluation by primary transplant surgeons,pathologists,dermatologists and immunologists.The possible underlying mechanisms of nail pathology in UET and the management are discussed.It also underscores the importance of onychodystrophy and need for timely intervention and to improve outcomes in UET recipients.展开更多
Advances in optical coherence tomography(OCT)technology allow a clear view of the vitreoretinal interface(VRI).The abnormality of the VRI is one of the common symptoms of high myopia,mainly including posterior vitreou...Advances in optical coherence tomography(OCT)technology allow a clear view of the vitreoretinal interface(VRI).The abnormality of the VRI is one of the common symptoms of high myopia,mainly including posterior vitreous detachment(PVD)and epiretinal membrane(ERM).They can cause severe damage to the structure and function of the retina,leading to permanent vision loss.Therefore,fully automated detection of abnormalities at the VRI is crucial for the management of high myopia.This paper presents a DS-YOLOv7 network aimed at accurately identifying abnormalities,including partial PVD,complete PVD,and ERM from retinal OCT images.Built upon the YOLOv7 network,the proposed model integrates the advanced dynamic snake convolution(DSConv)module to capture the curvilinear characteristics of lesions,and the mixture of attention and convolution(ACMix)module to improve the precision and robustness of feature extraction through effective fusion of self-attention mechanisms and convolution.Moreover,the introduction of the efficient complete intersection-over-union(ECIoU)loss function further enhances the coordinate regression capability of the model.Threefold cross-validation on a dataset with 1973 OCT B-scans from 46 patients shows that the DS-YOLOv7 achieved superior performance in vitreoretinal interface abnormality detection,with mAP@0.5 of 0.714,mAP@0.75 of 0.438,and mAP@0.5:0.95 of 0.424.The proposed model can provide an accurate and efficient diagnostic tool for patients with high myopia.展开更多
To address the issue of abnormal energy consumption fluctuations in the converter steelmaking process,an integrated diagnostic method combining the gray wolf optimization(GWO)algorithm,support vector machine(SVM),and ...To address the issue of abnormal energy consumption fluctuations in the converter steelmaking process,an integrated diagnostic method combining the gray wolf optimization(GWO)algorithm,support vector machine(SVM),and K-means clustering was proposed.Eight input parameters—derived from molten iron conditions and external factors—were selected as feature variables.A GWO-SVM model was developed to accurately predict the energy consumption of individual heats.Based on the prediction results,the mean absolute percentage error and maximum relative error of the test set were employed as criteria to identify heats with abnormal energy usage.For these heats,the K-means clustering algorithm was used to determine benchmark values of influencing factors from similar steel grades,enabling root-cause diagnosis of excessive energy consumption.The proposed method was applied to real production data from a converter in a steel plant.The analysis reveals that heat sample No.44 exhibits abnormal energy consumption,due to gas recovery being 1430.28 kg of standard coal below the benchmark level.A secondary contributing factor is a steam recovery shortfall of 237.99 kg of standard coal.This integrated approach offers a scientifically grounded tool for energy management in converter operations and provides valuable guidance for optimizing process parameters and enhancing energy efficiency.展开更多
Early and accurate detection of bone cancer and marrow cell abnormalities is critical for timely intervention and improved patient outcomes.This paper proposes a novel hybrid deep learning framework that integrates a ...Early and accurate detection of bone cancer and marrow cell abnormalities is critical for timely intervention and improved patient outcomes.This paper proposes a novel hybrid deep learning framework that integrates a Convolutional Neural Network(CNN)with a Bidirectional Long Short-Term Memory(BiLSTM)architecture,optimized using the Firefly Optimization algorithm(FO).The proposed CNN-BiLSTM-FO model is tailored for structured biomedical data,capturing both local patterns and sequential dependencies in diagnostic features,while the Firefly Algorithm fine-tunes key hyperparameters to maximize predictive performance.The approach is evaluated on two benchmark biomedical datasets:one comprising diagnostic data for bone cancer detection and another for identifying marrow cell abnormalities.Experimental results demonstrate that the proposed method outperforms standard deep learning models,including CNN,LSTM,BiLSTM,and CNN-LSTM hybrids,significantly.The CNNBiLSTM-FO model achieves an accuracy of 98.55%for bone cancer detection and 96.04%for marrow abnormality classification.The paper also presents a detailed complexity analysis of the proposed algorithm and compares its performance across multiple evaluation metrics such as precision,recall,F1-score,and AUC.The results confirm the effectiveness of the firefly-based optimization strategy in improving classification accuracy and model robustness.This work introduces a scalable and accurate diagnostic solution that holds strong potential for integration into intelligent clinical decision-support systems.展开更多
Objective:To analyze the characteristics of ambulatory blood pressure in elderly patients with hypertension and find out the risk factors of abnormal circadian rhythm.Methods:According to the circadian rhythm of patie...Objective:To analyze the characteristics of ambulatory blood pressure in elderly patients with hypertension and find out the risk factors of abnormal circadian rhythm.Methods:According to the circadian rhythm of patients’blood pressure,they were divided into group A,group B,and group C,and all the data of hypertension patients in this study were collected,including age,gender,BMI,smoking,drinking,basic diseases(diabetes,cerebrovascular disease,hyperlipidemia,etc.),fasting blood glucose,ambulatory blood pressure(24-hour mean systolic pressure,24-hour mean diastolic pressure,daytime mean systolic pressure and daytime mean diastolic pressure).Results:There were significant differences in mean systolic blood pressure and mean diastolic blood pressure at night among group A,group B and group C(P<0.05).Age,hyperlipidemia and fasting blood glucose were risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium was a protective factor for circadian rhythm abnormality(P<0.05).Conclusion:Age,hyperlipidemia and fasting blood glucose are risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium is a protective factor for circadian rhythm abnormality(P<0.05).展开更多
Objective:To analyze the characteristics of ambulatory blood pressure in elderly patients with hypertension and find out the risk factors of abnormal circadian rhythm.Methods:According to the circadian rhythm of patie...Objective:To analyze the characteristics of ambulatory blood pressure in elderly patients with hypertension and find out the risk factors of abnormal circadian rhythm.Methods:According to the circadian rhythm of patients'blood pressure,they were divided into Group A,Group B and Group C,and all the data of hypertension patients in this study were collected,including age,gender,BMI,smoking,drinking,basic diseases(diabetes,cerebrovascular disease,hyperlipidemia,etc.),fasting blood glucose,ambulatory blood pressure(24-hour mean systolic pressure,24-hour mean diastolic pressure,daytime mean systolic pressure and daytime mean diastolic pressure).Results:There were significant differences in mean systolic blood pressure and mean diastolic blood pressure at night among Group A,Group B and Group C(P<0.05).Age,hyperlipidemia and fasting blood glucose were risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium was a protective factor for circadian rhythm abnormality(P<0.05).Conclusion:Age,hyperlipidemia and fasting blood glucose are risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium is a protective factor for circadian rhythm abnormality(P<0.05).展开更多
BACKGROUND Research has shown that several factors can influence postoperative abnormal liver function;however,most studies on this issue have focused specifically on hepatic and cardiac surgeries,leaving limited rese...BACKGROUND Research has shown that several factors can influence postoperative abnormal liver function;however,most studies on this issue have focused specifically on hepatic and cardiac surgeries,leaving limited research on contributing factors in other types of surgeries.AIM To identify the risk factors for early postoperative abnormal liver function in multiple surgery types and construct a risk prediction model.METHODS This retrospective cohort study involved 3720 surgical patients from 5 surgical departments at Guangdong Provincial Hospital of Traditional Chinese Medicine.Patients were divided into abnormal(n=108)and normal(n=3612)groups based on liver function post-surgery.Univariate analysis and LASSO regression screened variables,followed by logistic regression to identify risk factors.A prediction model was constructed based on the variables selected via logistic re-gression.The goodness-of-fit of the model was evaluated using the Hosm-er–Lemeshow test,while discriminatory ability was measured by the area under the receiver operating characteristic curve.Calibration curves were plotted to visualize the consistency between predicted probabilities and observed outcomes.RESULTS The key factors contributing to abnormal liver function after surgery include elevated aspartate aminotransferase and alanine aminotransferase levels and reduced platelet counts pre-surgery,as well as the sevoflurane use during the procedure,among others.CONCLUSION The above factors collectively represent notable risk factors for postoperative liver function injury,and the prediction model developed based on these factors demonstrates strong predictive efficacy.展开更多
Male infertility can result from impaired sperm motility caused by multiple morphological abnormalities of the flagella(MMAF).Distinct projections encircling the central microtubules of the spermatozoal axoneme play p...Male infertility can result from impaired sperm motility caused by multiple morphological abnormalities of the flagella(MMAF).Distinct projections encircling the central microtubules of the spermatozoal axoneme play pivotal roles in flagellar bending and spermatozoal movement.Mammalian sperm-associated antigen 17(SPAG17)encodes a conserved axonemal protein of cilia and flagella,forming part of the C1a projection of the central apparatus,with functions related to ciliary/flagellar motility,skeletal growth,and male fertility.This study investigated two novel homozygous SPAG17 mutations(M1:NM_206996.2,c.829+1G>T,p.Asp212_Glu276del;and M2:c.2120del,p.Leu707*)identified in four infertile patients from two consanguineous Pakistani families.These patients displayed the MMAF phenotype confirmed by Papanicolaou staining and scanning electron microscopy assays of spermatozoa.Quantitative real-time polymerase chain reaction(PCR)of patients’spermatozoa also revealed a significant decrease in SPAG17 mRNA expression,and immunofluorescence staining showed the absence of SPAG17 protein signals along the flagella.However,no apparent ciliary-related symptoms or skeletal malformations were observed in the chest X-rays of any of the patients.Transmission electron microscopy of axoneme cross-sections from the patients showed incomplete C1a projection and a higher frequency of missing microtubule doublets 1 and 9 compared with those from fertile controls.Immunofluorescence staining and Western blot analyses of spermatogenesis-associated protein 17(SPATA17),a component of the C1a projection,and sperm-associated antigen 6(SPAG6),a marker of the spring layer,revealed disrupted expression of both proteins in the patients’spermatozoa.Altogether,these findings demonstrated that SPAG17 maintains the integrity of spermatozoal flagellar axoneme,expanding the phenotypic spectrum of SPAG17 mutations in humans.展开更多
The rapid integration of Internet of Things(IoT)technologies is reshaping the global energy landscape by deploying smart meters that enable high-resolution consumption monitoring,two-way communication,and advanced met...The rapid integration of Internet of Things(IoT)technologies is reshaping the global energy landscape by deploying smart meters that enable high-resolution consumption monitoring,two-way communication,and advanced metering infrastructure services.However,this digital transformation also exposes power system to evolving threats,ranging from cyber intrusions and electricity theft to device malfunctions,and the unpredictable nature of these anomalies,coupled with the scarcity of labeled fault data,makes realtime detection exceptionally challenging.To address these difficulties,a real-time decision support framework is presented for smart meter anomality detection that leverages rolling time windows and two self-supervised contrastive learning modules.The first module synthesizes diverse negative samples to overcome the lack of labeled anomalies,while the second captures intrinsic temporal patterns for enhanced contextual discrimination.The end-to-end framework continuously updates its model with rolling updated meter data to deliver timely identification of emerging abnormal behaviors in evolving grids.Extensive evaluations on eight publicly available smart meter datasets over seven diverse abnormal patterns testing demonstrate the effectiveness of the proposed full framework,achieving average recall and F1 score of more than 0.85.展开更多
Objective:To assess the cardiovascular abnormalities in patients with spontaneous subarachnoid hemorrhage(SAH).Methods:All patients admitted to our institution with a primary diagnosis of spontaneous SAH and had a tra...Objective:To assess the cardiovascular abnormalities in patients with spontaneous subarachnoid hemorrhage(SAH).Methods:All patients admitted to our institution with a primary diagnosis of spontaneous SAH and had a transthoracic echocardiogram(TTE)performed from 1st of July 2011 until 30th of May 2014 were enrolled.Results:Out of 2058 patients admitted to our institution with a diagnosis of SAH,over a three year period,only 244 patients(12%) had TTE performed during the index hospitalization.In this selected cohort,the mean age was 59 years and 66% of patients were female.Elevated troponin T was noticed in 37% of patients and QTc prolongation was the commonest ECG abnormality occurring in 49% of the patients.Thirty nine patients(16%) had a resting segmental wall motion abnormality on the TTE,including fi ve patients with apical ballooning.In-hospital mortality was 15.6% (38 patients).Conclusion:Cardiovascular abnormalities in selected patients with SAH who had cardiac ultrasound are relatively common;however the incidence of ventricular ballooning is low.In order to attain the correct incidence of cardiovascular abnormalities in SAH patients,all patients admitted with SAH should undergo TTE and have ECG and cardiac markers checked during their hospitalization.展开更多
Cervical cancer is the fourth most common cancer worldwide, accounting for 6.8% of new cancer cases and 8.1% of cancer-related deaths. About 85% of these deaths occurred in low- and middle-income countries. The aim of...Cervical cancer is the fourth most common cancer worldwide, accounting for 6.8% of new cancer cases and 8.1% of cancer-related deaths. About 85% of these deaths occurred in low- and middle-income countries. The aim of this study was to assess the frequency and distribution of the human papillomavirus (HPV) genotypes in women showing cytological abnormalities of the cervix at the Sourô SANOU University Hospital (CHUSS) in Bobo-Dioulasso, Burkina Faso. This is a descriptive study of women recruited at the CHUSS. The cervico-uterine smear examination was carried out at the CHUSS Anatomy and Pathology Department for cervical cancer screening. The data were collected from women with atypical cells on their cervico-uterine smear. Cervicovaginal samples were taken from consenting women and HPV genotyping was performed using the HPV Direct FLOW CHIP kit at CERBA. We obtained approval from the ethics committee. The data were analyzed using the SPSS 26 software. The results of the study showed that 67.79% of the participants were aged between 50 and 65, a group that is particularly vulnerable to persistent infection with high-risk oncogenic HPV genotypes. Of the women screened, 40.7% were HPV positive and 29.2% had multiple infections. The most common genotypes were HPV 35, followed by HPV 18, 52, 58 and 66. These data highlight the need for increased surveillance and targeted prevention strategies among this female population.展开更多
Thermal power generation systems have stringent requirements for water and steam quality,i.e.,condensate water quality is one of the critical issues.In this paper,we designed a two-layer model based on an autoencoder ...Thermal power generation systems have stringent requirements for water and steam quality,i.e.,condensate water quality is one of the critical issues.In this paper,we designed a two-layer model based on an autoencoder and expert knowledge to achieve the early warning and causal analysis of condensate water quality abnormalities.An early warning model using an autoencoder model is built based on the historical data affecting the condensate water quality.Next,an analytical model of condensate water quality abnormalities was then developed by combining expert knowledge and trend test algorithms.Two different datasets were used to test the proposed model,respectively.The accuracy of the autoencoder model in the short-period test set is 88.83%,which shows that the early warning model can accurately analyze the condensate water quality data and achieve the purpose of early warning.For the long-time period test set,the model can correctly identify each abnormality and simultaneously indicates the cause of the abnormal condensate water quality.The proposed model can correctly identify abnormal working conditions and it is applicable to other thermal power plants.展开更多
Bacterial diseases affecting corals pose an enormous threat to the health of coral reefs. The relationship between certain bacterial species and coral diseases remain largely unknown. Pigment abnormalities are common ...Bacterial diseases affecting corals pose an enormous threat to the health of coral reefs. The relationship between certain bacterial species and coral diseases remain largely unknown. Pigment abnormalities are common in Porites lutea. Here we used Illumina 16S rRNA gene sequencing to analyze the bacterial communities associated with healthy P. lutea and P. lutea with pigment abnormalities. We observed an increase of alpha diversity of the bacterial community of P. lutea with pigment abnormalities, relative to healthy corals. We then identified changes in the abundance of individual operational taxonomic units(OTUs) between pigmented and healthy corals. We were able to identify eight OTUs associated with pigment abnormalities, which are possibly the causative agents of pigment abnormalities.展开更多
To investigate the correlation between propacetamol and postoperative liver enzyme abnormalities among patients,a retrospective analysis was conducted on inpatients in the thoracic surgery department spanning from Jan...To investigate the correlation between propacetamol and postoperative liver enzyme abnormalities among patients,a retrospective analysis was conducted on inpatients in the thoracic surgery department spanning from January 1 to June 30,2023.Causality assessment regarding propacetamol and postoperative liver enzyme abnormalities was performed using the updated Roussel Uclaf Causality Assessment Method(RUCAM).Furthermore,independent risk factors for liver enzyme abnormalities were identified through both univariate and multivariate analyses,followed by the construction and validation of a clinical nomogram.A total of 247 patients who received propacetamol were ultimately included in the study.Liver enzyme abnormalities post-surgery were more accurately predicted by considering the daily dose of propacetamol and the number of medications(OR(95%CI),4.831(2.797,8.344),P<0.001;10.007(3.878,25.823),P<0.001).A clinical predictive nomogram model was developed,incorporating these two independent risk factors,which exhibited favorable discrimination(AUC(95%CI),0.811(0.750,0.872)),calibration,and decision curve analysis(DCA)demonstrating the highest net benefits across a broad spectrum of threshold probabilities(10%to 90%).The daily dose of propacetamol and the number of medications were found to be independently associated with postoperative liver enzyme abnormalities.This user-friendly nomogram,comprising these two factors,might assist clinicians in assessing the risks of propacetamol-related liver dysfunction following surgery.展开更多
Multiple morphological abnormalities of sperm flagella(MMAF)is a severe form of asthenoteratozoospermia,characterized by morphological abnormalities and reduced motility of sperm,causing male infertility.Although appr...Multiple morphological abnormalities of sperm flagella(MMAF)is a severe form of asthenoteratozoospermia,characterized by morphological abnormalities and reduced motility of sperm,causing male infertility.Although approximately 60%of MMAF cases can be explained genetically,the etiology of the remaining cases is unclear.Here,we identified two novel compound heterozygous variants in the gene,dynein axonemal heavy chain 10(DNAH10),in three patients from two unrelated Pakistani families using whole-exome sequencing(WES),including one compound heterozygous mutation(DNAH10:c.9409C>A[p.P3137T];c.12946G>C[p.D4316H])in family 1 and another compound heterozygous mutation(DNAH10:c.8849G>A[p.G2950D];c.11509C>T[p.R3687W])in family 2.All the identified variants are absent or rare in public genome databases and are predicted to have deleterious effects according to multiple bioinformatic tools.Sanger sequencing revealed that these variants follow an autosomal recessive mode of inheritance.Hematoxylin and eosin(H&E)staining revealed MMAF,including sperm head abnormalities,in the patients.In addition,immunofluorescence staining revealed loss of DNAH10 protein signals along sperm flagella.These findings broaden the spectrum of DNAH10 variants and expand understanding of the genetic basis of male infertility associated with the MMAF phenotype.展开更多
Background Patients with acute ischemic stroke(AIS)frequently present with subclinical cardiac injury.Current clinical assessments predominantly focus on neurological deficits,while the systematic identification and r...Background Patients with acute ischemic stroke(AIS)frequently present with subclinical cardiac injury.Current clinical assessments predominantly focus on neurological deficits,while the systematic identification and risk stratification of early cardiac complications remain inadequate.Myocardial injury markers and electrocardiographic abnormalities reflect biochemical myocardial damage and electrophysiological disturbances,respectively.Their combined use may provide a more comprehensive evaluation of cardiac involvement following AIS,thereby compensating for the limitations of neurological assessment alone.However,their synergistic value in predicting the prognosis of AIS patients requires further clarification.Methods A retrospective analysis was conducted on the medical records of 204 AIS patients admitted to our hospital from July 2023 to July 2025.Based on cardiac troponin I(cTnI)and creatine kinase-MB(CK-MB)levels,as well as electrocardiographic findings within 72 hours of onset,patients were categorized into a myocardial injury group(n=87)and a non-myocardial injury group(n=117).Both groups received standardized treatment.The modified Rankin Scale(mRS)scores at 90 days post-onset and the incidence of in-hospital major adverse cardiovascular events(MACE)were compared between the groups.Independent prognostic factors were analyzed,and the predictive performance of these factors was evaluated.Results Among the 204 patients,myocardial injury markers were elevated in 42.65%(87/204)of them.The incidence of electrocardiographic abnormalities,such as ST T changes(38.24%,78/204)and arrhythmias(24.02%,49/204),was significantly higher in the injury group than in the non injury group(all P<0.05).Elevated cTnI level(OR=1.052),prolonged QTc interval(OR=1.049),and a high National Institutes of Health Stroke Scale(NIHSS)score(OR=1.458)were identified as independent risk factors for poor prognosis at 90 days(all P<0.05),whereas CK-MB level was not an independent risk factor(P>0.05).The combination of NIHSS score,cTnI,and QTc interval demonstrated an area under the curve(AUC)of 0.920,with a specificity of 96.80%and a sensitivity of 70.89%,in predicting poor prognosis.Conclusions Patients with AIS frequently exhibit concomitant myocardial injury and electrocardiographic abnormalities.Elevated cTnI levels and prolonged QTc intervals are independently associated with poor 90-day prognosis,serving as significant predictive biomarkers.Early monitoring of these indicators contributes to risk stratification and personalized management.展开更多
Abnormally low pressure commonly develops in petroliferous basins.It is closely associated with hydrocarbon distribution and can hinder safe drilling operations.Potentiometric surface is one of the causes of abnormall...Abnormally low pressure commonly develops in petroliferous basins.It is closely associated with hydrocarbon distribution and can hinder safe drilling operations.Potentiometric surface is one of the causes of abnormally low pressure,but the relationship between such surface and abnormal pressure has not attracted much research attention.In this paper,a method is proposed for quantifying the potentiometric surface of the tight oil reservoir of the Upper Triassic Yanchang Formation in the Zhenjing area,southern Ordos Basin,China.This method involves screening pressure data that reflect real pore pressure conditions underground and analyzing the formation sealing conditions in the reservoir based on fracture development and the chemical characteristics of the formation water.The relationship between the potentiometric surface and the abnormally low pressure observed in the study area is discussed.The results show that the pressure coefficient of the Yanchang Formation in the Zhenjing area is 0.85e1.02,with an average of 0.93,indicating a state between abnormally low pressure and normal pressure.The Yanchang Formation has complex sealing conditions,with favorable overall sealing and a locally open hydrodynamic environment controlled by sand body connectivity and fault activity.We proposed a method to calculate the potentiometric surface using the measured pressure data with a pressure coefficient close to 1.The potentiometric surface is 1040e1200 m,with a high value in the northwest and a low value in the southeast,and it is 0e350 m below the ground level.The pressure coefficient was calibrated with an average of 1,with the potentiometric surface used as the starting point,indicating that the low pressure coefficient may be caused by the potentiometric surface below the ground level.The results have theoretical implications for the analysis of formation pressure characteristics in areas or basins with comparable geological conditions,and practical implications for the analysis and development of oil and gas.展开更多
基金supported by the Key Project of Natural Science Foundation of Tianjin(No.23JCZDJC00330)Tianjin Municipal Education Commission Scientific Research Program(No.2022ZD056).
文摘Prenatal exposure to bisphenols and metals has raised significant concerns regarding their potential impact on fetal development,particularly the risk of fetal chromosome numerical abnormalities(CNA).In this case-control study,we analyzed bisphenol and metal concentrations in amniotic fluid of high-risk pregnant women undergoing amniocentesis.Concentrations of bisphenols and metals were measured using ultra-performance liquid chromatography-tandem mass spectrometry and inductively coupled plasma-mass spectrometry,respectively.Logistic regression and quantile-based g-computation were applied to evaluate individual and combined effects,while dose-response relationships were assessed using restricted cubic splines.Our findings indicated that bisphenol S(BPS),bisphenol Z(BPZ),bisphenol AF(BPAF),antimony(Sb),and vanadium(V)were significantly associated with an increased risk of CNA when analyzed individually,whereas manganese,iron,copper(Cu),nickel(Ni),and zinc(Zn)were significantly and inversely associated with CNA risk.Combined exposure to bisphenol and metal mixtures was associated with an increased risk of CNA in multi-pollutant models.Cu and Ni exhibited a positive additive interaction.Furthermore,BPS,BPZ,and BPAF were individually associated with an increased risk of Down syndrome,while Zn was associated with a decreased risk of Down syndrome.BPS,Sb,V,and Zn were individually associated with an increased risk of Klinefelter syndrome.These findings underscore the potential role of prenatal bisphenol and metal exposure in the pathogenesis of fetal CNA,highlighting both additive and synergistic effects.
文摘BACKGROUND An echocardiogram is an essential tool in the evaluation of potential kidney transplant recipients(KTRs).Despite cardiac clearance,potential KTRs still have structural and functional abnormalities.Identifying the prevalence of these abnormalities and understanding their predictors is vital for optimizing pretransplant risk stratification and improving post-transplant outcomes.AIM To determine the prevalence of left ventricular hypertrophy(LVH),left ventricular systolic dysfunction(LVSD),diastolic dysfunction(DD),pulmonary hypertension(PH),and their predictors,and to assess their impact on graft function in pre-transplant candidates.METHODS The study included all successful transplant candidates older than 14 who had a baseline echocardiogram.Binary logistic regression models were constructed to identify factors associated with LVH,LVSD,DD,and PH.RESULTS Out of 259 patients,LVH was present in 64%(166),12%(31)had LVSD,27.5%(71)had DD,and 66(25.5%)had PH.Independent predictors of LVH included male gender[odds ratio(OR):2.51;95%CI:1.17-5.41 P=0.02],PH(OR=2.07;95%CI:1.11-3.86;P=0.02),DD(OR:2.47;95%CI:1.29-4.73;P=0.006),and dyslipidemia(OR=1.94;95%CI:1.07-3.53;P=0.03).Predictors for LVSD included patients with DD(OR=3.3,95%CI:1.41-7.81;P=0.006)and a family history of coronary artery disease(OR=4.50,95%CI:1.33-15.20;P=0.015).Peritoneal dialysis was an independent predictor for DD(OR=10.03;95%CI:1.71-58.94,P=0.011).The presence of LVH(OR=3.32,95%CI:1.05-10.55,P=0.04)and mild to moderate or moderate to severe mitral regurgitation(OR=4.63,95%CI:1.45-14.78,P=0.01)were significant factors associated with PH.These abnormalities had no significant impact on estimated glomerular filtration at discharge,6 months,1 year,or 2 years post-transplant.CONCLUSION Significant echocardiographic abnormalities persist in a potential transplant candidate despite cardiac clearance,although they don’t affect future graft function.Understanding the risk factors associated with these abnormalities may help clinicians address these factors pre-and post-transplant to achieve better outcomes.
基金Supported by The National Natural Science Foundation of China(No.82101180)the Fund for Beijing Science&Technology Development of TCM(No.BJZYYB-2023-17)the Beijing Municipal Natural Science Foundation grant(No.7252093).
文摘AIM:To define the prevalence and anatomical patterns of paranasal sinus abnormalities(PSA)in thyroid-associated ophthalmopathy(TAO)and to test the hypothesis that TAO is partially driven by contiguous orbital inflammation rather than systemic autoimmunity or generalized orbital pressure.METHODS:Data included ophthalmic assessments and a panel of thyroid function and autoimmune biomarkers.Blinded radiological analysis of orbital computed tomography(CT)scans was performed to quantify sinus abnormalities and extraocular muscles(EOMs)involvement.Patients were categorized into two groups based on CT findings,those with no radiological evidence of sinus abnormalities(non-PSA control group)and those with identifiable PSA.Furthermore,ethmoid sinus mucosal biopsies from a subset of TAO patients and noninflammatory controls were subjected to histopathological analysis.RESULTS:Totally 121 TAO patients(mean age 42.4±12.8y,range 10-78y),male:female=42:79,were included.PSA was identified in 44.6%(n=54)of patients,with a distribution anatomically restricted to the maxillary(50.0%isolated)and ethmoid sinuses(18.5%isolated;29.6%combined).Compared to the non-PSA group(n=67),patients with PSA were significantly older(45.1±11.8 vs 40.3±13.2y;P=0.040)and were more likely to be male(55.6%vs 17.9%;P<0.001).They also had significantly higher proptosis(22.1±3.2 vs 20.7±2.9 mm;P<0.001).Medial/inferior rectus involvement was most frequent(88.4%vs 89.3%).Histopathological analysis of sinus mucosa from PSA patients provided direct evidence of pathology,revealing a dense,chronic lymphoplasmacytic infiltrate and submucosal edema,validating the radiological findings as a true inflammatory process.No significant correlation was found with systemic autoimmune markers,including thyroid-stimulating hormone(TSH)receptor antibodies(TRAb,median 4.86 vs 2.71 IU/L,P=0.104).CONCLUSION:TAO is associated with a high prevalence of PSA in a pattern consistent with the orbital anatomy.The correlation with ipsilateral muscle thickening combined with the lack of association with proptosis laterality or systemic biomarkers lend strong support to a model of contiguous inflammation over systemic autoimmunity,a hypothesis that warrants further validation through longitudinal and mechanistic studies.
文摘Nail changes following upper extremity transplantation(UET)cannot be overlooked as they possess diagnostic and prognostic relevance in allotransplantation of upper limbs.This comprehensive review explores nail and nail bed related changes encountered in UET recipients in the literature.The differential diagnosis of nail abnormalities in UET includes a wide range of systemic,local and iatrogenic conditions other than immune responses to the allograft.It requires interdisciplinary evaluation by primary transplant surgeons,pathologists,dermatologists and immunologists.The possible underlying mechanisms of nail pathology in UET and the management are discussed.It also underscores the importance of onychodystrophy and need for timely intervention and to improve outcomes in UET recipients.
基金supported by the National Natural Science Foundation of China(62271337,62371326,and 62371328)the National Key Research and Development Program of China(2019FYC1710204)+1 种基金the National Clinical Key Specialty Construction Project(10000015Z155080000004)the Natural Science Foundation of Jiangsu Province(BK20231310).
文摘Advances in optical coherence tomography(OCT)technology allow a clear view of the vitreoretinal interface(VRI).The abnormality of the VRI is one of the common symptoms of high myopia,mainly including posterior vitreous detachment(PVD)and epiretinal membrane(ERM).They can cause severe damage to the structure and function of the retina,leading to permanent vision loss.Therefore,fully automated detection of abnormalities at the VRI is crucial for the management of high myopia.This paper presents a DS-YOLOv7 network aimed at accurately identifying abnormalities,including partial PVD,complete PVD,and ERM from retinal OCT images.Built upon the YOLOv7 network,the proposed model integrates the advanced dynamic snake convolution(DSConv)module to capture the curvilinear characteristics of lesions,and the mixture of attention and convolution(ACMix)module to improve the precision and robustness of feature extraction through effective fusion of self-attention mechanisms and convolution.Moreover,the introduction of the efficient complete intersection-over-union(ECIoU)loss function further enhances the coordinate regression capability of the model.Threefold cross-validation on a dataset with 1973 OCT B-scans from 46 patients shows that the DS-YOLOv7 achieved superior performance in vitreoretinal interface abnormality detection,with mAP@0.5 of 0.714,mAP@0.75 of 0.438,and mAP@0.5:0.95 of 0.424.The proposed model can provide an accurate and efficient diagnostic tool for patients with high myopia.
基金support from the National Key R&D Program of China(Grant No.2020YFB1711100).
文摘To address the issue of abnormal energy consumption fluctuations in the converter steelmaking process,an integrated diagnostic method combining the gray wolf optimization(GWO)algorithm,support vector machine(SVM),and K-means clustering was proposed.Eight input parameters—derived from molten iron conditions and external factors—were selected as feature variables.A GWO-SVM model was developed to accurately predict the energy consumption of individual heats.Based on the prediction results,the mean absolute percentage error and maximum relative error of the test set were employed as criteria to identify heats with abnormal energy usage.For these heats,the K-means clustering algorithm was used to determine benchmark values of influencing factors from similar steel grades,enabling root-cause diagnosis of excessive energy consumption.The proposed method was applied to real production data from a converter in a steel plant.The analysis reveals that heat sample No.44 exhibits abnormal energy consumption,due to gas recovery being 1430.28 kg of standard coal below the benchmark level.A secondary contributing factor is a steam recovery shortfall of 237.99 kg of standard coal.This integrated approach offers a scientifically grounded tool for energy management in converter operations and provides valuable guidance for optimizing process parameters and enhancing energy efficiency.
文摘Early and accurate detection of bone cancer and marrow cell abnormalities is critical for timely intervention and improved patient outcomes.This paper proposes a novel hybrid deep learning framework that integrates a Convolutional Neural Network(CNN)with a Bidirectional Long Short-Term Memory(BiLSTM)architecture,optimized using the Firefly Optimization algorithm(FO).The proposed CNN-BiLSTM-FO model is tailored for structured biomedical data,capturing both local patterns and sequential dependencies in diagnostic features,while the Firefly Algorithm fine-tunes key hyperparameters to maximize predictive performance.The approach is evaluated on two benchmark biomedical datasets:one comprising diagnostic data for bone cancer detection and another for identifying marrow cell abnormalities.Experimental results demonstrate that the proposed method outperforms standard deep learning models,including CNN,LSTM,BiLSTM,and CNN-LSTM hybrids,significantly.The CNNBiLSTM-FO model achieves an accuracy of 98.55%for bone cancer detection and 96.04%for marrow abnormality classification.The paper also presents a detailed complexity analysis of the proposed algorithm and compares its performance across multiple evaluation metrics such as precision,recall,F1-score,and AUC.The results confirm the effectiveness of the firefly-based optimization strategy in improving classification accuracy and model robustness.This work introduces a scalable and accurate diagnostic solution that holds strong potential for integration into intelligent clinical decision-support systems.
文摘Objective:To analyze the characteristics of ambulatory blood pressure in elderly patients with hypertension and find out the risk factors of abnormal circadian rhythm.Methods:According to the circadian rhythm of patients’blood pressure,they were divided into group A,group B,and group C,and all the data of hypertension patients in this study were collected,including age,gender,BMI,smoking,drinking,basic diseases(diabetes,cerebrovascular disease,hyperlipidemia,etc.),fasting blood glucose,ambulatory blood pressure(24-hour mean systolic pressure,24-hour mean diastolic pressure,daytime mean systolic pressure and daytime mean diastolic pressure).Results:There were significant differences in mean systolic blood pressure and mean diastolic blood pressure at night among group A,group B and group C(P<0.05).Age,hyperlipidemia and fasting blood glucose were risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium was a protective factor for circadian rhythm abnormality(P<0.05).Conclusion:Age,hyperlipidemia and fasting blood glucose are risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium is a protective factor for circadian rhythm abnormality(P<0.05).
文摘Objective:To analyze the characteristics of ambulatory blood pressure in elderly patients with hypertension and find out the risk factors of abnormal circadian rhythm.Methods:According to the circadian rhythm of patients'blood pressure,they were divided into Group A,Group B and Group C,and all the data of hypertension patients in this study were collected,including age,gender,BMI,smoking,drinking,basic diseases(diabetes,cerebrovascular disease,hyperlipidemia,etc.),fasting blood glucose,ambulatory blood pressure(24-hour mean systolic pressure,24-hour mean diastolic pressure,daytime mean systolic pressure and daytime mean diastolic pressure).Results:There were significant differences in mean systolic blood pressure and mean diastolic blood pressure at night among Group A,Group B and Group C(P<0.05).Age,hyperlipidemia and fasting blood glucose were risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium was a protective factor for circadian rhythm abnormality(P<0.05).Conclusion:Age,hyperlipidemia and fasting blood glucose are risk factors for circadian rhythm abnormality(P<0.05),and 24-hour urinary sodium is a protective factor for circadian rhythm abnormality(P<0.05).
基金Supported by Guangdong Provincial Hospital of Chinese Medicine Science and Technology Research Special Project,No.YN2023WSSQ01State Key Laboratory of Traditional Chinese Medicine Syndrome.
文摘BACKGROUND Research has shown that several factors can influence postoperative abnormal liver function;however,most studies on this issue have focused specifically on hepatic and cardiac surgeries,leaving limited research on contributing factors in other types of surgeries.AIM To identify the risk factors for early postoperative abnormal liver function in multiple surgery types and construct a risk prediction model.METHODS This retrospective cohort study involved 3720 surgical patients from 5 surgical departments at Guangdong Provincial Hospital of Traditional Chinese Medicine.Patients were divided into abnormal(n=108)and normal(n=3612)groups based on liver function post-surgery.Univariate analysis and LASSO regression screened variables,followed by logistic regression to identify risk factors.A prediction model was constructed based on the variables selected via logistic re-gression.The goodness-of-fit of the model was evaluated using the Hosm-er–Lemeshow test,while discriminatory ability was measured by the area under the receiver operating characteristic curve.Calibration curves were plotted to visualize the consistency between predicted probabilities and observed outcomes.RESULTS The key factors contributing to abnormal liver function after surgery include elevated aspartate aminotransferase and alanine aminotransferase levels and reduced platelet counts pre-surgery,as well as the sevoflurane use during the procedure,among others.CONCLUSION The above factors collectively represent notable risk factors for postoperative liver function injury,and the prediction model developed based on these factors demonstrates strong predictive efficacy.
基金supported by the National Natural Science Foundation of China(No.82171599 and No.32270901)the National Key Research and Developmental Program of China(2022YFC2702601 and 2022YFA0806303)the Global Select Project(DJKLX-2022010)of the Institute of Health and Medicine,Hefei Comprehensive National Science Center.
文摘Male infertility can result from impaired sperm motility caused by multiple morphological abnormalities of the flagella(MMAF).Distinct projections encircling the central microtubules of the spermatozoal axoneme play pivotal roles in flagellar bending and spermatozoal movement.Mammalian sperm-associated antigen 17(SPAG17)encodes a conserved axonemal protein of cilia and flagella,forming part of the C1a projection of the central apparatus,with functions related to ciliary/flagellar motility,skeletal growth,and male fertility.This study investigated two novel homozygous SPAG17 mutations(M1:NM_206996.2,c.829+1G>T,p.Asp212_Glu276del;and M2:c.2120del,p.Leu707*)identified in four infertile patients from two consanguineous Pakistani families.These patients displayed the MMAF phenotype confirmed by Papanicolaou staining and scanning electron microscopy assays of spermatozoa.Quantitative real-time polymerase chain reaction(PCR)of patients’spermatozoa also revealed a significant decrease in SPAG17 mRNA expression,and immunofluorescence staining showed the absence of SPAG17 protein signals along the flagella.However,no apparent ciliary-related symptoms or skeletal malformations were observed in the chest X-rays of any of the patients.Transmission electron microscopy of axoneme cross-sections from the patients showed incomplete C1a projection and a higher frequency of missing microtubule doublets 1 and 9 compared with those from fertile controls.Immunofluorescence staining and Western blot analyses of spermatogenesis-associated protein 17(SPATA17),a component of the C1a projection,and sperm-associated antigen 6(SPAG6),a marker of the spring layer,revealed disrupted expression of both proteins in the patients’spermatozoa.Altogether,these findings demonstrated that SPAG17 maintains the integrity of spermatozoal flagellar axoneme,expanding the phenotypic spectrum of SPAG17 mutations in humans.
文摘The rapid integration of Internet of Things(IoT)technologies is reshaping the global energy landscape by deploying smart meters that enable high-resolution consumption monitoring,two-way communication,and advanced metering infrastructure services.However,this digital transformation also exposes power system to evolving threats,ranging from cyber intrusions and electricity theft to device malfunctions,and the unpredictable nature of these anomalies,coupled with the scarcity of labeled fault data,makes realtime detection exceptionally challenging.To address these difficulties,a real-time decision support framework is presented for smart meter anomality detection that leverages rolling time windows and two self-supervised contrastive learning modules.The first module synthesizes diverse negative samples to overcome the lack of labeled anomalies,while the second captures intrinsic temporal patterns for enhanced contextual discrimination.The end-to-end framework continuously updates its model with rolling updated meter data to deliver timely identification of emerging abnormal behaviors in evolving grids.Extensive evaluations on eight publicly available smart meter datasets over seven diverse abnormal patterns testing demonstrate the effectiveness of the proposed full framework,achieving average recall and F1 score of more than 0.85.
文摘Objective:To assess the cardiovascular abnormalities in patients with spontaneous subarachnoid hemorrhage(SAH).Methods:All patients admitted to our institution with a primary diagnosis of spontaneous SAH and had a transthoracic echocardiogram(TTE)performed from 1st of July 2011 until 30th of May 2014 were enrolled.Results:Out of 2058 patients admitted to our institution with a diagnosis of SAH,over a three year period,only 244 patients(12%) had TTE performed during the index hospitalization.In this selected cohort,the mean age was 59 years and 66% of patients were female.Elevated troponin T was noticed in 37% of patients and QTc prolongation was the commonest ECG abnormality occurring in 49% of the patients.Thirty nine patients(16%) had a resting segmental wall motion abnormality on the TTE,including fi ve patients with apical ballooning.In-hospital mortality was 15.6% (38 patients).Conclusion:Cardiovascular abnormalities in selected patients with SAH who had cardiac ultrasound are relatively common;however the incidence of ventricular ballooning is low.In order to attain the correct incidence of cardiovascular abnormalities in SAH patients,all patients admitted with SAH should undergo TTE and have ECG and cardiac markers checked during their hospitalization.
文摘Cervical cancer is the fourth most common cancer worldwide, accounting for 6.8% of new cancer cases and 8.1% of cancer-related deaths. About 85% of these deaths occurred in low- and middle-income countries. The aim of this study was to assess the frequency and distribution of the human papillomavirus (HPV) genotypes in women showing cytological abnormalities of the cervix at the Sourô SANOU University Hospital (CHUSS) in Bobo-Dioulasso, Burkina Faso. This is a descriptive study of women recruited at the CHUSS. The cervico-uterine smear examination was carried out at the CHUSS Anatomy and Pathology Department for cervical cancer screening. The data were collected from women with atypical cells on their cervico-uterine smear. Cervicovaginal samples were taken from consenting women and HPV genotyping was performed using the HPV Direct FLOW CHIP kit at CERBA. We obtained approval from the ethics committee. The data were analyzed using the SPSS 26 software. The results of the study showed that 67.79% of the participants were aged between 50 and 65, a group that is particularly vulnerable to persistent infection with high-risk oncogenic HPV genotypes. Of the women screened, 40.7% were HPV positive and 29.2% had multiple infections. The most common genotypes were HPV 35, followed by HPV 18, 52, 58 and 66. These data highlight the need for increased surveillance and targeted prevention strategies among this female population.
基金supported by the Jingneng Shiyan Thermal Power Co.,Ltd.(TPRI/TR-CA-006-2023)Huaihe Energy Power Group Co.,Ltd.(TPRI/TR-CA-040-2023)Xi'an Thermal Power Research Institute Co.,Ltd.(TPRI/TR-CA-110-2021A/H1).
文摘Thermal power generation systems have stringent requirements for water and steam quality,i.e.,condensate water quality is one of the critical issues.In this paper,we designed a two-layer model based on an autoencoder and expert knowledge to achieve the early warning and causal analysis of condensate water quality abnormalities.An early warning model using an autoencoder model is built based on the historical data affecting the condensate water quality.Next,an analytical model of condensate water quality abnormalities was then developed by combining expert knowledge and trend test algorithms.Two different datasets were used to test the proposed model,respectively.The accuracy of the autoencoder model in the short-period test set is 88.83%,which shows that the early warning model can accurately analyze the condensate water quality data and achieve the purpose of early warning.For the long-time period test set,the model can correctly identify each abnormality and simultaneously indicates the cause of the abnormal condensate water quality.The proposed model can correctly identify abnormal working conditions and it is applicable to other thermal power plants.
基金The China-Indonesia Maritime Cooperation Fund Project "China-Indonesia Bitung Ecological Station Establishment"the National Natural Science Foundation of China under contract No.41506180the Public Science and Technology Research Funds Projects of Ocean under contract No.201505009
文摘Bacterial diseases affecting corals pose an enormous threat to the health of coral reefs. The relationship between certain bacterial species and coral diseases remain largely unknown. Pigment abnormalities are common in Porites lutea. Here we used Illumina 16S rRNA gene sequencing to analyze the bacterial communities associated with healthy P. lutea and P. lutea with pigment abnormalities. We observed an increase of alpha diversity of the bacterial community of P. lutea with pigment abnormalities, relative to healthy corals. We then identified changes in the abundance of individual operational taxonomic units(OTUs) between pigmented and healthy corals. We were able to identify eight OTUs associated with pigment abnormalities, which are possibly the causative agents of pigment abnormalities.
基金The Medical Education Research Program of Henan Province,China(Grant No.WJLX2023015)and the Chinese International Medical Foundation for Clinical Pharmacy,China(Grant No.Z-2021-46-2101).
文摘To investigate the correlation between propacetamol and postoperative liver enzyme abnormalities among patients,a retrospective analysis was conducted on inpatients in the thoracic surgery department spanning from January 1 to June 30,2023.Causality assessment regarding propacetamol and postoperative liver enzyme abnormalities was performed using the updated Roussel Uclaf Causality Assessment Method(RUCAM).Furthermore,independent risk factors for liver enzyme abnormalities were identified through both univariate and multivariate analyses,followed by the construction and validation of a clinical nomogram.A total of 247 patients who received propacetamol were ultimately included in the study.Liver enzyme abnormalities post-surgery were more accurately predicted by considering the daily dose of propacetamol and the number of medications(OR(95%CI),4.831(2.797,8.344),P<0.001;10.007(3.878,25.823),P<0.001).A clinical predictive nomogram model was developed,incorporating these two independent risk factors,which exhibited favorable discrimination(AUC(95%CI),0.811(0.750,0.872)),calibration,and decision curve analysis(DCA)demonstrating the highest net benefits across a broad spectrum of threshold probabilities(10%to 90%).The daily dose of propacetamol and the number of medications were found to be independently associated with postoperative liver enzyme abnormalities.This user-friendly nomogram,comprising these two factors,might assist clinicians in assessing the risks of propacetamol-related liver dysfunction following surgery.
基金supported by the National Natural Science Foundation of China(No.32100689)the National Key Research and Development Program of China(No.2021YFC2700202,No.2022YFA0806303,and No.2022YFC2702601)+1 种基金the Global Select Project(No.DJK-LX-2022010)of the Institute of Health and MedicineHefei Comprehensive National Science Center,and the Joint Fund for New Medicine of USTC(No.YD9100002034).
文摘Multiple morphological abnormalities of sperm flagella(MMAF)is a severe form of asthenoteratozoospermia,characterized by morphological abnormalities and reduced motility of sperm,causing male infertility.Although approximately 60%of MMAF cases can be explained genetically,the etiology of the remaining cases is unclear.Here,we identified two novel compound heterozygous variants in the gene,dynein axonemal heavy chain 10(DNAH10),in three patients from two unrelated Pakistani families using whole-exome sequencing(WES),including one compound heterozygous mutation(DNAH10:c.9409C>A[p.P3137T];c.12946G>C[p.D4316H])in family 1 and another compound heterozygous mutation(DNAH10:c.8849G>A[p.G2950D];c.11509C>T[p.R3687W])in family 2.All the identified variants are absent or rare in public genome databases and are predicted to have deleterious effects according to multiple bioinformatic tools.Sanger sequencing revealed that these variants follow an autosomal recessive mode of inheritance.Hematoxylin and eosin(H&E)staining revealed MMAF,including sperm head abnormalities,in the patients.In addition,immunofluorescence staining revealed loss of DNAH10 protein signals along sperm flagella.These findings broaden the spectrum of DNAH10 variants and expand understanding of the genetic basis of male infertility associated with the MMAF phenotype.
文摘Background Patients with acute ischemic stroke(AIS)frequently present with subclinical cardiac injury.Current clinical assessments predominantly focus on neurological deficits,while the systematic identification and risk stratification of early cardiac complications remain inadequate.Myocardial injury markers and electrocardiographic abnormalities reflect biochemical myocardial damage and electrophysiological disturbances,respectively.Their combined use may provide a more comprehensive evaluation of cardiac involvement following AIS,thereby compensating for the limitations of neurological assessment alone.However,their synergistic value in predicting the prognosis of AIS patients requires further clarification.Methods A retrospective analysis was conducted on the medical records of 204 AIS patients admitted to our hospital from July 2023 to July 2025.Based on cardiac troponin I(cTnI)and creatine kinase-MB(CK-MB)levels,as well as electrocardiographic findings within 72 hours of onset,patients were categorized into a myocardial injury group(n=87)and a non-myocardial injury group(n=117).Both groups received standardized treatment.The modified Rankin Scale(mRS)scores at 90 days post-onset and the incidence of in-hospital major adverse cardiovascular events(MACE)were compared between the groups.Independent prognostic factors were analyzed,and the predictive performance of these factors was evaluated.Results Among the 204 patients,myocardial injury markers were elevated in 42.65%(87/204)of them.The incidence of electrocardiographic abnormalities,such as ST T changes(38.24%,78/204)and arrhythmias(24.02%,49/204),was significantly higher in the injury group than in the non injury group(all P<0.05).Elevated cTnI level(OR=1.052),prolonged QTc interval(OR=1.049),and a high National Institutes of Health Stroke Scale(NIHSS)score(OR=1.458)were identified as independent risk factors for poor prognosis at 90 days(all P<0.05),whereas CK-MB level was not an independent risk factor(P>0.05).The combination of NIHSS score,cTnI,and QTc interval demonstrated an area under the curve(AUC)of 0.920,with a specificity of 96.80%and a sensitivity of 70.89%,in predicting poor prognosis.Conclusions Patients with AIS frequently exhibit concomitant myocardial injury and electrocardiographic abnormalities.Elevated cTnI levels and prolonged QTc intervals are independently associated with poor 90-day prognosis,serving as significant predictive biomarkers.Early monitoring of these indicators contributes to risk stratification and personalized management.
基金supported by the National Natural Science Foundation of China,China(Nos.42102176&42030808)the SINOPEC Ministry of Science and Technology Project,China(No.P24189).
文摘Abnormally low pressure commonly develops in petroliferous basins.It is closely associated with hydrocarbon distribution and can hinder safe drilling operations.Potentiometric surface is one of the causes of abnormally low pressure,but the relationship between such surface and abnormal pressure has not attracted much research attention.In this paper,a method is proposed for quantifying the potentiometric surface of the tight oil reservoir of the Upper Triassic Yanchang Formation in the Zhenjing area,southern Ordos Basin,China.This method involves screening pressure data that reflect real pore pressure conditions underground and analyzing the formation sealing conditions in the reservoir based on fracture development and the chemical characteristics of the formation water.The relationship between the potentiometric surface and the abnormally low pressure observed in the study area is discussed.The results show that the pressure coefficient of the Yanchang Formation in the Zhenjing area is 0.85e1.02,with an average of 0.93,indicating a state between abnormally low pressure and normal pressure.The Yanchang Formation has complex sealing conditions,with favorable overall sealing and a locally open hydrodynamic environment controlled by sand body connectivity and fault activity.We proposed a method to calculate the potentiometric surface using the measured pressure data with a pressure coefficient close to 1.The potentiometric surface is 1040e1200 m,with a high value in the northwest and a low value in the southeast,and it is 0e350 m below the ground level.The pressure coefficient was calibrated with an average of 1,with the potentiometric surface used as the starting point,indicating that the low pressure coefficient may be caused by the potentiometric surface below the ground level.The results have theoretical implications for the analysis of formation pressure characteristics in areas or basins with comparable geological conditions,and practical implications for the analysis and development of oil and gas.
