Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications i...Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.展开更多
Due to their high water content,stimulus responsiveness,and biocompatibility,hydrogels,which are functional materials with a three-dimensional network structure,are widely applied in fields such as biomedicine,environ...Due to their high water content,stimulus responsiveness,and biocompatibility,hydrogels,which are functional materials with a three-dimensional network structure,are widely applied in fields such as biomedicine,environmental monitoring,and flexible electronics.This paper provides a systematic review of hydrogel charac-terization methods and their applications,focusing on primary evaluation techniques for physical properties(e.g.,mechanical strength,swelling behavior,and pore structure),chemical properties(e.g.,composition,crosslink density,and degradation behavior),biocompatibility,and functional properties(e.g.,drug release,environmental stimulus response,and conductivity).It analyzes the challenges currently faced by characterization methods,such as a lack of standardization,difficulties in dynamic monitoring,an insufficient micro-macro correlation,and poor adaptability to complex environments.It proposes solutions,such as a hierarchical standardization system,in situ imaging technology,cross-scale characterization,and biomimetic testing platforms.Looking ahead,hydrogel characterization techniques will evolve toward intelligent,real-time,multimodal coupling and standardized approaches.These techniques will provide superior technical support for precision medicine,environmental restoration,and flexible electronics.They will also offer systematic methodological guidance for the performance optimization and practical application of hydrogel materials.展开更多
Objective:To explore the application value of a machine learning-based prediction model in assessing the prognosis of septic children in the pediatric intensive care unit(PICU)and provide data support for clinical dec...Objective:To explore the application value of a machine learning-based prediction model in assessing the prognosis of septic children in the pediatric intensive care unit(PICU)and provide data support for clinical decision-making.Methods:A total of 180 septic children admitted to the PICU of a tertiary hospital from January 2020 to December 2024 were selected.They were divided into a control group(90 cases,using traditional scoring methods to predict prognosis)and an observation group(90 cases,using a multivariable model based on machine learning algorithms to predict prognosis)according to the random number table method.General information,laboratory indicators,and clinical interventions were collected.Various models such as Random Forest(RF),Support Vector Machine(SVM),and Logistic Regression(LR)were established.The model performance was evaluated using ROC curve,AUC value,accuracy,sensitivity,and specificity.Results:The machine learning models performed better than traditional scoring methods in predicting the 28-day mortality rate of septic children.Among them,the RF model achieved an AUC value of 0.921,a sensitivity of 85.6%,and a specificity of 88.1%,which were significantly higher than the PIM3 score(AUC 0.762).The prediction accuracy and timeliness of clinical intervention in the observation group were significantly improved,leading to a shortened hospital stay and reduced mortality rate(p<0.05).Conclusion:The prediction model based on machine learning can more accurately assess the prognostic risk of septic children in PICU,showing good clinical application prospects and providing references for individualized treatment and optimal resource allocation.展开更多
This paper presents a systematic comparison of the curriculum design and application orientation of the linear algebra curriculum in our country and abroad.It explains mainly differences in course objectives,teaching ...This paper presents a systematic comparison of the curriculum design and application orientation of the linear algebra curriculum in our country and abroad.It explains mainly differences in course objectives,teaching content,approaches,and feedback mechanisms,reflecting divergent understandings of the discipline’s value within distinct educational ecosystems.Forward-looking and practical conclusions are proposed across five main directions:optimizing course structure,strengthening practical components,deepening interdisciplinary integration,building faculty capacity,and developing teaching resources.The aim is to provide strong conceptual help and realistic guidance for getting real progress in linear algebra education in China.展开更多
Objective:To analyze the application value of a non-catheter tampon in abdominal hysterectomy,providing a reference for related research.Methods:A total of 100 patients were included in this study,with data collected ...Objective:To analyze the application value of a non-catheter tampon in abdominal hysterectomy,providing a reference for related research.Methods:A total of 100 patients were included in this study,with data collected between January 4,2022,and January 4,2024.The patients were divided into two groups:the new group and the traditional group,each comprising 50 patients.Results:Compared with the traditional group,the new group demonstrated significantly lower intraoperative blood loss(P<0.05).Additionally,the incidence of complications,operation time,hospital stay,time required to resume normal activities,and postoperative VAS scores were all significantly lower in the new group(P<0.05).Conclusion:The application of a non-catheter tampon during abdominal hysterectomy yields satisfactory results.This approach is worthy of further clinical promotion and application.展开更多
Dear Editor,Psoriasis,a chronic inflammatory cutaneous condition,is characterized by the development of red plaques with silvery scales,significantly affecting patients'quality of life and mental health[1].This co...Dear Editor,Psoriasis,a chronic inflammatory cutaneous condition,is characterized by the development of red plaques with silvery scales,significantly affecting patients'quality of life and mental health[1].This condition is thought to affect approximately 2%of the Western population,with diagnosis peaking in early adulthood[2].Vitamin D,a fat-soluble vitamin,is essential for phospho-calcium metabolism,calcium homeostasis,and bone health.展开更多
Introductory courses in vocational education play a foundational role in orienting first-year students to their chosen major and initiating their professional formation.Such courses help newcomers establish a cognitiv...Introductory courses in vocational education play a foundational role in orienting first-year students to their chosen major and initiating their professional formation.Such courses help newcomers establish a cognitive map of the discipline,plan learning pathways,and cultivate identification with the profession,while also serving as a vehicle for integrating ideological-political education.In practice,however,many programs face persistent challenges in textbook development,faculty capacity,curriculum content,and alignment with industry standards,which limit the effectiveness of these courses.With the rollout of national policies such as the Implementation Plan for National Vocational Education Reform,the urgency of strengthening the construction of introductory courses has become increasingly evident.Using the textbook Introduction to Virtual Reality Applications:Cognition,Skills,and Career as a core case,this paper analyzes innovative practices in writing philosophy,course design,school-enterprise collaboration,resource integration,ideological-political infusion,and practical outcomes.Building on this analysis,the paper proposes strategies for reforming introductory courses and building coherent textbook systems in vocational education so as to improve course quality and better support students’professional development.展开更多
This article first outlines the fundamental definitions of Mycoplasma pneumoniae and the basic principles of antibiotics. It then analyzes and discusses the progress in antibiotic application and time-eff ect studies ...This article first outlines the fundamental definitions of Mycoplasma pneumoniae and the basic principles of antibiotics. It then analyzes and discusses the progress in antibiotic application and time-eff ect studies for neonatal pneumonia treatment, specifically comparing conventional antibiotic therapy with stepwise treatment regimens, and contrasting monotherapy with penicillin, monotherapy with cephalosporins, and combination therapy. Finally, it offers a prospective outlook on antibiotic application and time-effect research in neonatal pneumonia treatment, aiming to provide valuable reference for further scholarly investigations.展开更多
Metal halides have attracted worldwide attention as exceptional optoelectronic materials.Over the past decade,research on metal halides has yielded remarkable progress,and their color-conversion applications have show...Metal halides have attracted worldwide attention as exceptional optoelectronic materials.Over the past decade,research on metal halides has yielded remarkable progress,and their color-conversion applications have shown considerable promise for commercialization.With the reporting of self-trapped exciton(STE)emission in perovskites,the application of metal halides as broadband emitting materials in the lighting field has gained increas-ing interest.Herein,we provide a comprehensive review of metal halide STE emitters,especially for lighting applications.We begin with highlighting the ideal spectral characteristics and corresponding performance metrics for lighting.This is followed by a systematic summary of the mechanisms,optimization strategies,and recent advances of STE emission in metal halides.Finally,we outline the major challenges and prospective trends for metal halide STE emitters.This review aims to offer valuable insights into metal halide STE emitters and their lighting applications for facilitating the future commercialization.展开更多
The forthcoming sixth generation(6G)of mobile communication networks is envisioned to be AInative,supporting intelligent services and pervasive computing at unprecedented scale.Among the key paradigms enabling this vi...The forthcoming sixth generation(6G)of mobile communication networks is envisioned to be AInative,supporting intelligent services and pervasive computing at unprecedented scale.Among the key paradigms enabling this vision,Federated Learning(FL)has gained prominence as a distributed machine learning framework that allows multiple devices to collaboratively train models without sharing raw data,thereby preserving privacy and reducing the need for centralized storage.This capability is particularly attractive for vision-based applications,where image and video data are both sensitive and bandwidth-intensive.However,the integration of FL with 6G networks presents unique challenges,including communication bottlenecks,device heterogeneity,and trade-offs between model accuracy,latency,and energy consumption.In this paper,we developed a simulation-based framework to investigate the performance of FL in representative vision tasks under 6G-like environments.We formalize the system model,incorporating both the federated averaging(FedAvg)training process and a simplified communication costmodel that captures bandwidth constraints,packet loss,and variable latency across edge devices.Using standard image datasets(e.g.,MNIST,CIFAR-10)as benchmarks,we analyze how factors such as the number of participating clients,degree of data heterogeneity,and communication frequency influence convergence speed and model accuracy.Additionally,we evaluate the effectiveness of lightweight communication-efficient strategies,including local update tuning and gradient compression,in mitigating network overhead.The experimental results reveal several key insights:(i)communication limitations can significantly degrade FL convergence in vision tasks if not properly addressed;(ii)judicious tuning of local training epochs and client participation levels enables notable improvements in both efficiency and accuracy;and(iii)communication-efficient FL strategies provide a promising pathway to balance performance with the stringent latency and reliability requirements expected in 6G.These findings highlight the synergistic role of AI and nextgeneration networks in enabling privacy-preserving,real-time vision applications,and they provide concrete design guidelines for researchers and practitioners working at the intersection of FL and 6G.展开更多
[Objectives]To observe the clinical efficacy of external application of Scorzonera Herpes Ointment combined with Methylprednisolone Sodium Succinate for Injection in the treatment of herpes zoster oticus(HZO).[Methods...[Objectives]To observe the clinical efficacy of external application of Scorzonera Herpes Ointment combined with Methylprednisolone Sodium Succinate for Injection in the treatment of herpes zoster oticus(HZO).[Methods]A total of 100 HZO patients admitted to the 988 th Hospital of the Joint Logistics Support Force and Henan Provincial People's Hospital from June 2021 to June 2023 were selected.They were divided into a treatment group and a control group using a random number table method,with 50 cases in each group.Both groups received Methylprednisolone Sodium Succinate for Injection.Additionally,the treatment group was treated with external application of Scorzonera Herpes Ointment,while the control group received acyclovir ointment.Both groups were treated for 10 d.The comparisons included clinical efficacy,total symptom and sign scores,pain level[Visual Analogue Scale(VAS)],time for erythema reduction,cessation of blister formation,scab formation,and scab shedding,incidence of post-herpetic neuralgia(PHN),air conduction hearing threshold,and air-bone gap.[Results]After 10 d of treatment,the total effective rate was 98.00%(49/50)in the treatment group and 84.00%(42/50)in the control group,with a statistically significant difference between the two groups(P<0.05).After 10 d of treatment,the total symptom and sign scores and VAS scores of both groups decreased compared to those before treatment.The treatment group had significantly lower scores than the control group(P<0.05).The treatment group showed significantly shorter time for erythema reduction,cessation of blister formation,scab formation,and scab shedding compared to the control group(P<0.05).During the 1-month follow-up after treatment,no PHN cases occurred in the treatment group,while the incidence of PHN in the control group was 24.00%(12/50),showing a statistically significant difference(P<0.05).After 10 d of treatment,both groups showed reduced air conduction hearing thresholds,and the treatment group exhibited significantly lower air conduction thresholds and air-bone gaps compared to the control group(P<0.05).No statistically significant difference was observed in the air-bone gap before and after treatment in the control group(P>0.05).[Conclusions]The combination of external application of Scorzonera Herpes Ointment and Methylprednisolone Sodium Succinate for Injection can alleviate pain and other discomforts,reduce PHN incidence,shorten disease duration,and improve hearing in HZO patients.展开更多
This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a signif...This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a significant milestone in the evolution of modern manufacturing,contributing to major shifts in production processes,labor markets,and organizational structures.Through a comprehensive review of literature and case studies,the paper identifies and contrasts the driving factors for robot adoption,the impact of automation on the workforce,and the sociocultural factors influencing these transitions.The automotive industry,characterized by high-volume production and cost-efficiency,and the electronics industry,known for precision and fast-paced production,present unique challenges and opportunities in robot integration.By examining these differences,the paper aims to offer insights into the broader social and economic implications of industrial robot deployment and its effect on industry dynamics and labor relations.The findings highlight not only the technological benefits but also the social challenges associated with automation in these industries.展开更多
Tomasz Mizerkiewicz is a professor at the Faculty of Polish and Classical Philology at Adam Mickiewicz University and the editor-in-chief of Forum of Poetics.He has published extensively in the field of 20th-century a...Tomasz Mizerkiewicz is a professor at the Faculty of Polish and Classical Philology at Adam Mickiewicz University and the editor-in-chief of Forum of Poetics.He has published extensively in the field of 20th-century and 21st-century Polish literature and literary theory.This interview addresses topics including key concepts,theoretical terminologies,and interdisciplinary research in Ethical Literary Criticism,as well as its future development and practical significance.Using different texts,including Polish literary works,Mizerkiewicz illustrates the application of core terms in Ethical Literary Criticism,analyzes ethical expressions and ethical values embedded in literary works,and offers insights into the relevance of Ethical Literary Criticism in the era of artificial intelligence,as well as its connections with ESG(Environmental,Social,and Governance)and sustainability.The interview underscores his emphasis on the vibrant academic value and practical significance of Ethical Literary Criticism in exploring ethical thoughts in literature,fostering interdisciplinary dialogue,and contributing to the advancement of modern society.展开更多
The Russia-Ukraine conflict remains unresolved,while the armed conflict between Israel and Palestine continues to escalate,causing significant civilian casualties.To better protect the victims of war in armed conflict...The Russia-Ukraine conflict remains unresolved,while the armed conflict between Israel and Palestine continues to escalate,causing significant civilian casualties.To better protect the victims of war in armed conflicts,clarifying the applicability of international human rights law(IHRL)and international humanitarian law(IHL)in such contexts has become an urgent issue.A comparative study on the application of IHRL and IHL needs to address three key questions step by step:First,whether IHRL is applicable during armed conflicts;second,if applicable,how IHRL complements and interacts with IHL;and third,what methods should be adopted to resolve conflicts when IHRL and IHL are applied concurrently.In this context,an analysis of the historical development of IHRL and IHL reveals that the two share a common philosophical foundation,and thus they can be applied concurrently during armed conflicts.From an empirical perspective,IHRL engages with IHL through two approaches:interpreting IHL provisions and directly applying IHRL to armed conflicts,thereby fostering interactive development between the two.In cases where normative conflicts arise between IHRL and IHL,such as in the rules on the use of force and internment procedures,the principles of systemic integration and lex specialis can reconcile these conflicts during the application process.展开更多
Objective:The incidence and mortality of colorectal carcinoma(CRC)continue to rise globally,highlighting the need to identify modifiable risk factors for early detection and prevention.Previous studies have demonstrat...Objective:The incidence and mortality of colorectal carcinoma(CRC)continue to rise globally,highlighting the need to identify modifiable risk factors for early detection and prevention.Previous studies have demonstrated significant associations between CRC risk and various serum metabolites as well as inflammatory cytokines;however,due to limitations in study design and potential confounding factors,the causal relationships remain unclear.This study aims to investigate the causal relationships between inflammatory cytokines,serum metabolites,and CRC risk,providing a theoretical basis for the development of novel early diagnostic biomarkers and therapeutic targets.Methods:A two-sample Mendelian randomization(MR)design was applied using summary statistics from genome-wide association studies(GWAS).Instrumental variables(IVs)were derived from:1)metabolomics GWAS data of 1400 serum metabolites(n=8299);2)cytokine GWAS data of 91 inflammatory factors(n=14824);and 3)CRC risk data from the FinnGen consortium(6847 cases and 314193 controls).The primary analysis was conducted using the inverse-variance weighted(IVW)method,with sensitivity analyses performed using MR Egger regression and the weighted median method.Effect estimates including odds ratios(OR),95%confidence intervals(CI),and false discovery rates(FDR)were calculated.Results:MR analysis indicated that higher levels of axin-1(AXIN1)(OR=0.84195%CI 0.714 to 0.991)and Fms-related tyrosine kinase 3 ligand(Flt3L)(OR=0.916,95%CI 0.844 to 0.994)were associated with a reduced risk of CRC.In contrast,higher levels of Delta/Notchlike epidermal growth factor-related receptor(DNER)(OR=1.119,95%CI 1.009 to 1.241)and vascular endothelial growth factor A(VEGF-A)(OR=1.078,95%CI 1.011 to 1.150)were associated with an increased risk of CRC(all P<0.05).Metabolomics association analysis further identified 144 serum metabolites significantly correlated with these four key inflammatory cytokines(FDR<0.05),suggesting that they may regulate CRC risk through inflammatory pathways.Conclusion:Specific inflammatory cytokines and serum metabolites have causal relationships with the risk of CRC.These findings provide insights for further exploration of potential risk factors and the development of effective prevention strategies for CRC.展开更多
In molybdenum chemistry,the oxidative addition of o-quinone or 1,2-dicarbonyl compounds to molybdenum has been widely used in Mo-catalyzed C—C bond construction.The carbonyl oxidative addition to Mo(0)or Mo(Ⅱ)is the...In molybdenum chemistry,the oxidative addition of o-quinone or 1,2-dicarbonyl compounds to molybdenum has been widely used in Mo-catalyzed C—C bond construction.The carbonyl oxidative addition to Mo(0)or Mo(Ⅱ)is the critical elementary reaction of molybdenum catalysis.However,the relevant density functional theory(DFT)studies are relatively scarce,especially regarding the rational selection of functionals.In this work,14 functionals were employed to investigate the Mo-catalyzed carbonyl oxidative addition step.A benchmark study was carried out to evaluate their performance in structure optimization and energy calculation.Analyses of mean absolute error(MAE)and mean squared error(MSE)indicated that the B3LYP-D3(BJ),TPSSh,and ωB97X-D functionals exhibited superior performance in structure optimization.Using the DLPNO-CCSD(T)functional as the reference,the M06,M06-L,and MN15-L functionals exhibited good performance for energy calculation based on the structures optimized using the B3LYP-D3(BJ)functional.In particular,MN15-L provided the best performance with the smallest MAE and MSE.展开更多
Whole Slide Imaging (WSI) technology, as a revolutionary digital technology in the field of pathology, is gradually changing the traditional clinical pathological diagnosis model. By converting traditional glass patho...Whole Slide Imaging (WSI) technology, as a revolutionary digital technology in the field of pathology, is gradually changing the traditional clinical pathological diagnosis model. By converting traditional glass pathological sections into complete digital images through high-resolution scanning, it provides a new method for pathological diagnosis. Based on this, this paper studies the application of WSI technology in clinical pathological diagnosis, elaborates on its application value, analyzes the current application status, and proposes corresponding application countermeasures, aiming to provide reference for the standardized and popularized development of this technology in clinical pathological diagnosis.展开更多
Objective:To identify the root causes of typical adverse drug events through the lens of patient experiences proposing novel strategies to mitigate preventable harm.Methods:A qualitative case study leveraging in-depth...Objective:To identify the root causes of typical adverse drug events through the lens of patient experiences proposing novel strategies to mitigate preventable harm.Methods:A qualitative case study leveraging in-depth interviews with patients and families,anchored by Interactive Patient Par ticipation Theory,to analyze 4 high-severity adverse drug events(ADE)cases.Cases were purposively sampled from 8 communities in China's National Adverse Event Monitor Center(2018-2023).Semi-structured interviews explored patient perspectives,with data analyzed via thematic coding and triangulation against clinical records.Results:Five interconnected themes emerged:(1)erosion of trust,(2)communication breakdowns,(3)information asymmetry,(4)environmental inadequacies,and(5)technological alienation.Notably,75% of participants had≤high school education,and 50% used≥7 medications daily,compounding ADE risks.Conclusions:We considered elements mentioned by theory,exploring trust,communication,information,and suppor t as the root causes.In addition,we added“adaptability to new technology”as an impor tant and necessary component.It is impor tant and necessary to analyze typical adverse drug events from the perspectives of patients.展开更多
Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes,such as subjective interpretation bi...Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes,such as subjective interpretation biases and inefficient multidimensional data integration.Artificial intelligence(AI),particularly deep learning and machine learning technologies,has emerged as a transformative tool in addressing these issues.Clinically,AI has been widely applied in imaging screening to improve detection rates and reduce reading time,digital pathology for precise tumor typing and gene mutation prediction,treatment decisionsupport systems to enhance guideline compliance,and drug research and development to accelerate target identification and virtual screening.Despite these achievements,AI implementation faces challenges,such as data standardization issues,limited model generalization,low clinical accessibility,and unclear ethical-legal responsibilities,which require targeted solutions that include national data standards,multi-center training,hierarchical physician training,and explainable AI.Future directions involve multimodal data integration,human-AI collaborative multidisciplinary team models,and extension to full-cycle health management from prevention-to-rehabilitation.This review provides a systematic overview of the role of AI in breast cancer care,offering insights for clinical practice and scientific research innovation,and supporting the transition toward personalized and intelligent medicine in oncology.展开更多
Lignin,the most abundant natural aromatic polymer globally,has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant,antimicrobial,and adhesive properties.Recent resea...Lignin,the most abundant natural aromatic polymer globally,has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant,antimicrobial,and adhesive properties.Recent research has significantly improved the performance of lignin-based hydrogels,suggesting their substantial potential in fields such as biomedicine,environmental science,and agriculture.This paper reviews the process of lignin extraction,systematically introduces synthesis strategies for preparing lignin-based hydrogels,and discusses the current state of research on these hydrogels in biomedical and environmental protection fields.It concludes by identifying the existing challenges in lignin hydrogel research and envisioning future prospects and development trends.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.32160172)the Key Science-Technology Project of Inner Mongolia(2023KYPT0010)+1 种基金the Natural Science Foundation of Inner Mongolia Autonomous Region of China(Grant No.2025QN03006)the 2023 Inner Mongolia Public Institution High-Level Talent Introduction Scientific Research Support Project.
文摘Environmental DNA(eDNA)technology has revolutionized biodiversity monitoring with its non-invasive,sensitive,and cost-efficient approach.This paper systematically reviews eDNA advancements,examining its applications in aquatic and terrestrial ecosystems and assessing China’s standardization progress.It delineates four developmental phases from single-species detection to high-throughput sequencing,and highlights China’s contribution to the development of technical standards.While significant progress has been made,challenges persist in quantitative accuracy,methodological consistency,and large-scale implementation.Future efforts should prioritize enhanced standardization,improved quantification techniques,broader applications,and international collaboration to drive innovation in eDNA technology.
文摘Due to their high water content,stimulus responsiveness,and biocompatibility,hydrogels,which are functional materials with a three-dimensional network structure,are widely applied in fields such as biomedicine,environmental monitoring,and flexible electronics.This paper provides a systematic review of hydrogel charac-terization methods and their applications,focusing on primary evaluation techniques for physical properties(e.g.,mechanical strength,swelling behavior,and pore structure),chemical properties(e.g.,composition,crosslink density,and degradation behavior),biocompatibility,and functional properties(e.g.,drug release,environmental stimulus response,and conductivity).It analyzes the challenges currently faced by characterization methods,such as a lack of standardization,difficulties in dynamic monitoring,an insufficient micro-macro correlation,and poor adaptability to complex environments.It proposes solutions,such as a hierarchical standardization system,in situ imaging technology,cross-scale characterization,and biomimetic testing platforms.Looking ahead,hydrogel characterization techniques will evolve toward intelligent,real-time,multimodal coupling and standardized approaches.These techniques will provide superior technical support for precision medicine,environmental restoration,and flexible electronics.They will also offer systematic methodological guidance for the performance optimization and practical application of hydrogel materials.
文摘Objective:To explore the application value of a machine learning-based prediction model in assessing the prognosis of septic children in the pediatric intensive care unit(PICU)and provide data support for clinical decision-making.Methods:A total of 180 septic children admitted to the PICU of a tertiary hospital from January 2020 to December 2024 were selected.They were divided into a control group(90 cases,using traditional scoring methods to predict prognosis)and an observation group(90 cases,using a multivariable model based on machine learning algorithms to predict prognosis)according to the random number table method.General information,laboratory indicators,and clinical interventions were collected.Various models such as Random Forest(RF),Support Vector Machine(SVM),and Logistic Regression(LR)were established.The model performance was evaluated using ROC curve,AUC value,accuracy,sensitivity,and specificity.Results:The machine learning models performed better than traditional scoring methods in predicting the 28-day mortality rate of septic children.Among them,the RF model achieved an AUC value of 0.921,a sensitivity of 85.6%,and a specificity of 88.1%,which were significantly higher than the PIM3 score(AUC 0.762).The prediction accuracy and timeliness of clinical intervention in the observation group were significantly improved,leading to a shortened hospital stay and reduced mortality rate(p<0.05).Conclusion:The prediction model based on machine learning can more accurately assess the prognostic risk of septic children in PICU,showing good clinical application prospects and providing references for individualized treatment and optimal resource allocation.
文摘This paper presents a systematic comparison of the curriculum design and application orientation of the linear algebra curriculum in our country and abroad.It explains mainly differences in course objectives,teaching content,approaches,and feedback mechanisms,reflecting divergent understandings of the discipline’s value within distinct educational ecosystems.Forward-looking and practical conclusions are proposed across five main directions:optimizing course structure,strengthening practical components,deepening interdisciplinary integration,building faculty capacity,and developing teaching resources.The aim is to provide strong conceptual help and realistic guidance for getting real progress in linear algebra education in China.
文摘Objective:To analyze the application value of a non-catheter tampon in abdominal hysterectomy,providing a reference for related research.Methods:A total of 100 patients were included in this study,with data collected between January 4,2022,and January 4,2024.The patients were divided into two groups:the new group and the traditional group,each comprising 50 patients.Results:Compared with the traditional group,the new group demonstrated significantly lower intraoperative blood loss(P<0.05).Additionally,the incidence of complications,operation time,hospital stay,time required to resume normal activities,and postoperative VAS scores were all significantly lower in the new group(P<0.05).Conclusion:The application of a non-catheter tampon during abdominal hysterectomy yields satisfactory results.This approach is worthy of further clinical promotion and application.
基金supported by the National Natural Science Foundation of China(Grant Nos.82573974 and 82373475)to Z.Y.
文摘Dear Editor,Psoriasis,a chronic inflammatory cutaneous condition,is characterized by the development of red plaques with silvery scales,significantly affecting patients'quality of life and mental health[1].This condition is thought to affect approximately 2%of the Western population,with diagnosis peaking in early adulthood[2].Vitamin D,a fat-soluble vitamin,is essential for phospho-calcium metabolism,calcium homeostasis,and bone health.
文摘Introductory courses in vocational education play a foundational role in orienting first-year students to their chosen major and initiating their professional formation.Such courses help newcomers establish a cognitive map of the discipline,plan learning pathways,and cultivate identification with the profession,while also serving as a vehicle for integrating ideological-political education.In practice,however,many programs face persistent challenges in textbook development,faculty capacity,curriculum content,and alignment with industry standards,which limit the effectiveness of these courses.With the rollout of national policies such as the Implementation Plan for National Vocational Education Reform,the urgency of strengthening the construction of introductory courses has become increasingly evident.Using the textbook Introduction to Virtual Reality Applications:Cognition,Skills,and Career as a core case,this paper analyzes innovative practices in writing philosophy,course design,school-enterprise collaboration,resource integration,ideological-political infusion,and practical outcomes.Building on this analysis,the paper proposes strategies for reforming introductory courses and building coherent textbook systems in vocational education so as to improve course quality and better support students’professional development.
文摘This article first outlines the fundamental definitions of Mycoplasma pneumoniae and the basic principles of antibiotics. It then analyzes and discusses the progress in antibiotic application and time-eff ect studies for neonatal pneumonia treatment, specifically comparing conventional antibiotic therapy with stepwise treatment regimens, and contrasting monotherapy with penicillin, monotherapy with cephalosporins, and combination therapy. Finally, it offers a prospective outlook on antibiotic application and time-effect research in neonatal pneumonia treatment, aiming to provide valuable reference for further scholarly investigations.
文摘Metal halides have attracted worldwide attention as exceptional optoelectronic materials.Over the past decade,research on metal halides has yielded remarkable progress,and their color-conversion applications have shown considerable promise for commercialization.With the reporting of self-trapped exciton(STE)emission in perovskites,the application of metal halides as broadband emitting materials in the lighting field has gained increas-ing interest.Herein,we provide a comprehensive review of metal halide STE emitters,especially for lighting applications.We begin with highlighting the ideal spectral characteristics and corresponding performance metrics for lighting.This is followed by a systematic summary of the mechanisms,optimization strategies,and recent advances of STE emission in metal halides.Finally,we outline the major challenges and prospective trends for metal halide STE emitters.This review aims to offer valuable insights into metal halide STE emitters and their lighting applications for facilitating the future commercialization.
文摘The forthcoming sixth generation(6G)of mobile communication networks is envisioned to be AInative,supporting intelligent services and pervasive computing at unprecedented scale.Among the key paradigms enabling this vision,Federated Learning(FL)has gained prominence as a distributed machine learning framework that allows multiple devices to collaboratively train models without sharing raw data,thereby preserving privacy and reducing the need for centralized storage.This capability is particularly attractive for vision-based applications,where image and video data are both sensitive and bandwidth-intensive.However,the integration of FL with 6G networks presents unique challenges,including communication bottlenecks,device heterogeneity,and trade-offs between model accuracy,latency,and energy consumption.In this paper,we developed a simulation-based framework to investigate the performance of FL in representative vision tasks under 6G-like environments.We formalize the system model,incorporating both the federated averaging(FedAvg)training process and a simplified communication costmodel that captures bandwidth constraints,packet loss,and variable latency across edge devices.Using standard image datasets(e.g.,MNIST,CIFAR-10)as benchmarks,we analyze how factors such as the number of participating clients,degree of data heterogeneity,and communication frequency influence convergence speed and model accuracy.Additionally,we evaluate the effectiveness of lightweight communication-efficient strategies,including local update tuning and gradient compression,in mitigating network overhead.The experimental results reveal several key insights:(i)communication limitations can significantly degrade FL convergence in vision tasks if not properly addressed;(ii)judicious tuning of local training epochs and client participation levels enables notable improvements in both efficiency and accuracy;and(iii)communication-efficient FL strategies provide a promising pathway to balance performance with the stringent latency and reliability requirements expected in 6G.These findings highlight the synergistic role of AI and nextgeneration networks in enabling privacy-preserving,real-time vision applications,and they provide concrete design guidelines for researchers and practitioners working at the intersection of FL and 6G.
基金Supported by the Joint Construction Project of Medical Science and Technology Research Plan in Henan Province(LHGJ20190879).
文摘[Objectives]To observe the clinical efficacy of external application of Scorzonera Herpes Ointment combined with Methylprednisolone Sodium Succinate for Injection in the treatment of herpes zoster oticus(HZO).[Methods]A total of 100 HZO patients admitted to the 988 th Hospital of the Joint Logistics Support Force and Henan Provincial People's Hospital from June 2021 to June 2023 were selected.They were divided into a treatment group and a control group using a random number table method,with 50 cases in each group.Both groups received Methylprednisolone Sodium Succinate for Injection.Additionally,the treatment group was treated with external application of Scorzonera Herpes Ointment,while the control group received acyclovir ointment.Both groups were treated for 10 d.The comparisons included clinical efficacy,total symptom and sign scores,pain level[Visual Analogue Scale(VAS)],time for erythema reduction,cessation of blister formation,scab formation,and scab shedding,incidence of post-herpetic neuralgia(PHN),air conduction hearing threshold,and air-bone gap.[Results]After 10 d of treatment,the total effective rate was 98.00%(49/50)in the treatment group and 84.00%(42/50)in the control group,with a statistically significant difference between the two groups(P<0.05).After 10 d of treatment,the total symptom and sign scores and VAS scores of both groups decreased compared to those before treatment.The treatment group had significantly lower scores than the control group(P<0.05).The treatment group showed significantly shorter time for erythema reduction,cessation of blister formation,scab formation,and scab shedding compared to the control group(P<0.05).During the 1-month follow-up after treatment,no PHN cases occurred in the treatment group,while the incidence of PHN in the control group was 24.00%(12/50),showing a statistically significant difference(P<0.05).After 10 d of treatment,both groups showed reduced air conduction hearing thresholds,and the treatment group exhibited significantly lower air conduction thresholds and air-bone gaps compared to the control group(P<0.05).No statistically significant difference was observed in the air-bone gap before and after treatment in the control group(P>0.05).[Conclusions]The combination of external application of Scorzonera Herpes Ointment and Methylprednisolone Sodium Succinate for Injection can alleviate pain and other discomforts,reduce PHN incidence,shorten disease duration,and improve hearing in HZO patients.
文摘This paper provides a comparative sociological analysis of the application models for industrial robots in the automotive and electronics industries.The integration of robots in these two key sectors has been a significant milestone in the evolution of modern manufacturing,contributing to major shifts in production processes,labor markets,and organizational structures.Through a comprehensive review of literature and case studies,the paper identifies and contrasts the driving factors for robot adoption,the impact of automation on the workforce,and the sociocultural factors influencing these transitions.The automotive industry,characterized by high-volume production and cost-efficiency,and the electronics industry,known for precision and fast-paced production,present unique challenges and opportunities in robot integration.By examining these differences,the paper aims to offer insights into the broader social and economic implications of industrial robot deployment and its effect on industry dynamics and labor relations.The findings highlight not only the technological benefits but also the social challenges associated with automation in these industries.
文摘Tomasz Mizerkiewicz is a professor at the Faculty of Polish and Classical Philology at Adam Mickiewicz University and the editor-in-chief of Forum of Poetics.He has published extensively in the field of 20th-century and 21st-century Polish literature and literary theory.This interview addresses topics including key concepts,theoretical terminologies,and interdisciplinary research in Ethical Literary Criticism,as well as its future development and practical significance.Using different texts,including Polish literary works,Mizerkiewicz illustrates the application of core terms in Ethical Literary Criticism,analyzes ethical expressions and ethical values embedded in literary works,and offers insights into the relevance of Ethical Literary Criticism in the era of artificial intelligence,as well as its connections with ESG(Environmental,Social,and Governance)and sustainability.The interview underscores his emphasis on the vibrant academic value and practical significance of Ethical Literary Criticism in exploring ethical thoughts in literature,fostering interdisciplinary dialogue,and contributing to the advancement of modern society.
文摘The Russia-Ukraine conflict remains unresolved,while the armed conflict between Israel and Palestine continues to escalate,causing significant civilian casualties.To better protect the victims of war in armed conflicts,clarifying the applicability of international human rights law(IHRL)and international humanitarian law(IHL)in such contexts has become an urgent issue.A comparative study on the application of IHRL and IHL needs to address three key questions step by step:First,whether IHRL is applicable during armed conflicts;second,if applicable,how IHRL complements and interacts with IHL;and third,what methods should be adopted to resolve conflicts when IHRL and IHL are applied concurrently.In this context,an analysis of the historical development of IHRL and IHL reveals that the two share a common philosophical foundation,and thus they can be applied concurrently during armed conflicts.From an empirical perspective,IHRL engages with IHL through two approaches:interpreting IHL provisions and directly applying IHRL to armed conflicts,thereby fostering interactive development between the two.In cases where normative conflicts arise between IHRL and IHL,such as in the rules on the use of force and internment procedures,the principles of systemic integration and lex specialis can reconcile these conflicts during the application process.
基金supported by the Natural Science Foundation of Hunan Province (2022JJ30987)the Key Research and Development Project of Hunan Province (2024JK2107),China。
文摘Objective:The incidence and mortality of colorectal carcinoma(CRC)continue to rise globally,highlighting the need to identify modifiable risk factors for early detection and prevention.Previous studies have demonstrated significant associations between CRC risk and various serum metabolites as well as inflammatory cytokines;however,due to limitations in study design and potential confounding factors,the causal relationships remain unclear.This study aims to investigate the causal relationships between inflammatory cytokines,serum metabolites,and CRC risk,providing a theoretical basis for the development of novel early diagnostic biomarkers and therapeutic targets.Methods:A two-sample Mendelian randomization(MR)design was applied using summary statistics from genome-wide association studies(GWAS).Instrumental variables(IVs)were derived from:1)metabolomics GWAS data of 1400 serum metabolites(n=8299);2)cytokine GWAS data of 91 inflammatory factors(n=14824);and 3)CRC risk data from the FinnGen consortium(6847 cases and 314193 controls).The primary analysis was conducted using the inverse-variance weighted(IVW)method,with sensitivity analyses performed using MR Egger regression and the weighted median method.Effect estimates including odds ratios(OR),95%confidence intervals(CI),and false discovery rates(FDR)were calculated.Results:MR analysis indicated that higher levels of axin-1(AXIN1)(OR=0.84195%CI 0.714 to 0.991)and Fms-related tyrosine kinase 3 ligand(Flt3L)(OR=0.916,95%CI 0.844 to 0.994)were associated with a reduced risk of CRC.In contrast,higher levels of Delta/Notchlike epidermal growth factor-related receptor(DNER)(OR=1.119,95%CI 1.009 to 1.241)and vascular endothelial growth factor A(VEGF-A)(OR=1.078,95%CI 1.011 to 1.150)were associated with an increased risk of CRC(all P<0.05).Metabolomics association analysis further identified 144 serum metabolites significantly correlated with these four key inflammatory cytokines(FDR<0.05),suggesting that they may regulate CRC risk through inflammatory pathways.Conclusion:Specific inflammatory cytokines and serum metabolites have causal relationships with the risk of CRC.These findings provide insights for further exploration of potential risk factors and the development of effective prevention strategies for CRC.
基金Project supported by the Fundamental Research Funds for the Central Universities(No.2042025kf0052)。
文摘In molybdenum chemistry,the oxidative addition of o-quinone or 1,2-dicarbonyl compounds to molybdenum has been widely used in Mo-catalyzed C—C bond construction.The carbonyl oxidative addition to Mo(0)or Mo(Ⅱ)is the critical elementary reaction of molybdenum catalysis.However,the relevant density functional theory(DFT)studies are relatively scarce,especially regarding the rational selection of functionals.In this work,14 functionals were employed to investigate the Mo-catalyzed carbonyl oxidative addition step.A benchmark study was carried out to evaluate their performance in structure optimization and energy calculation.Analyses of mean absolute error(MAE)and mean squared error(MSE)indicated that the B3LYP-D3(BJ),TPSSh,and ωB97X-D functionals exhibited superior performance in structure optimization.Using the DLPNO-CCSD(T)functional as the reference,the M06,M06-L,and MN15-L functionals exhibited good performance for energy calculation based on the structures optimized using the B3LYP-D3(BJ)functional.In particular,MN15-L provided the best performance with the smallest MAE and MSE.
文摘Whole Slide Imaging (WSI) technology, as a revolutionary digital technology in the field of pathology, is gradually changing the traditional clinical pathological diagnosis model. By converting traditional glass pathological sections into complete digital images through high-resolution scanning, it provides a new method for pathological diagnosis. Based on this, this paper studies the application of WSI technology in clinical pathological diagnosis, elaborates on its application value, analyzes the current application status, and proposes corresponding application countermeasures, aiming to provide reference for the standardized and popularized development of this technology in clinical pathological diagnosis.
基金supported by the Science and Technology Fund Project of Guizhou Health Commission(gzwkj2025-163)。
文摘Objective:To identify the root causes of typical adverse drug events through the lens of patient experiences proposing novel strategies to mitigate preventable harm.Methods:A qualitative case study leveraging in-depth interviews with patients and families,anchored by Interactive Patient Par ticipation Theory,to analyze 4 high-severity adverse drug events(ADE)cases.Cases were purposively sampled from 8 communities in China's National Adverse Event Monitor Center(2018-2023).Semi-structured interviews explored patient perspectives,with data analyzed via thematic coding and triangulation against clinical records.Results:Five interconnected themes emerged:(1)erosion of trust,(2)communication breakdowns,(3)information asymmetry,(4)environmental inadequacies,and(5)technological alienation.Notably,75% of participants had≤high school education,and 50% used≥7 medications daily,compounding ADE risks.Conclusions:We considered elements mentioned by theory,exploring trust,communication,information,and suppor t as the root causes.In addition,we added“adaptability to new technology”as an impor tant and necessary component.It is impor tant and necessary to analyze typical adverse drug events from the perspectives of patients.
基金supported by the National Natural Science Foundation of China(Grant No.82404074)the Science and Technology Major Project(Grant No.2024ZD0519805).
文摘Breast cancer is the most common malignant tumor among women globally and poses a major public health challenge due to limitations in traditional diagnostic and treatment processes,such as subjective interpretation biases and inefficient multidimensional data integration.Artificial intelligence(AI),particularly deep learning and machine learning technologies,has emerged as a transformative tool in addressing these issues.Clinically,AI has been widely applied in imaging screening to improve detection rates and reduce reading time,digital pathology for precise tumor typing and gene mutation prediction,treatment decisionsupport systems to enhance guideline compliance,and drug research and development to accelerate target identification and virtual screening.Despite these achievements,AI implementation faces challenges,such as data standardization issues,limited model generalization,low clinical accessibility,and unclear ethical-legal responsibilities,which require targeted solutions that include national data standards,multi-center training,hierarchical physician training,and explainable AI.Future directions involve multimodal data integration,human-AI collaborative multidisciplinary team models,and extension to full-cycle health management from prevention-to-rehabilitation.This review provides a systematic overview of the role of AI in breast cancer care,offering insights for clinical practice and scientific research innovation,and supporting the transition toward personalized and intelligent medicine in oncology.
基金supported by the National Natural Science Foundation of China(21706052,22278114)Natural Science Foundation of Henan Province(242300421575).
文摘Lignin,the most abundant natural aromatic polymer globally,has garnered considerable interest due to its rich and diverse active functional groups and its antioxidant,antimicrobial,and adhesive properties.Recent research has significantly improved the performance of lignin-based hydrogels,suggesting their substantial potential in fields such as biomedicine,environmental science,and agriculture.This paper reviews the process of lignin extraction,systematically introduces synthesis strategies for preparing lignin-based hydrogels,and discusses the current state of research on these hydrogels in biomedical and environmental protection fields.It concludes by identifying the existing challenges in lignin hydrogel research and envisioning future prospects and development trends.
