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
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
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
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
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
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
The genus Actinidia is primarily functionally dioecious,and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs.In this study,the accuracy of three sex-linked m...The genus Actinidia is primarily functionally dioecious,and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs.In this study,the accuracy of three sex-linked molecular markers(SyGI[Shy Girl],FrBy[Friendly Boy],and SmY1)in sex identification was evaluated in various Actinidia species.The selected marker products were subsequently cloned and sequenced in six wild Actinidia species.Ninety-six wild A.chinensis chinensis accessions and 74 A.chinensis deliciosa accessions,most of which were wild,with only one cultivated,were used for comprehensive primer validation.Thirty-three juvenile A.chinensis chinensis hybrid seedlings were used for practical application tests.The results showed that the marker SyGI accurately identified the sex of 20 samples from six Actinidia species and 96 A.chinensis chinensis accessions with 100%reliability.For Actinidia chinensis deliciosa,the identification accuracy reached 98.65%.Sequence analysis revealed that SyGI shared the highest similarity with the male-specific genomic region.Furthermore,SyGI achieved 100%accuracy in identifying the sex of 33 juvenile A.chinensis chinensis individuals.The findings confirm that the SyGI marker possesses high accuracy,strong specificity,and broad applicability,making it a valuable tool for kiwifruit breeding programs.The cloned sequences from wild Actinidia species also provide important references for future research on the mechanisms of sexual evolution and determination.展开更多
Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance ...Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.展开更多
Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for...Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.展开更多
Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,an...Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.展开更多
Mindfulness would enhance university students’emotional well-being and study engagement.However,the role of affect(positive and negative emotions)and psychological resources(psychological capital)linking mindfulness ...Mindfulness would enhance university students’emotional well-being and study engagement.However,the role of affect(positive and negative emotions)and psychological resources(psychological capital)linking mindfulness to study engagement remain underexplored.This cross-sectional study surveyed 688 Chinese university students(females=413,mean age=20.3,SD=0.83),using validated self-report measures of mindfulness,positive and negative emotions,psychological capital,and study engagement.Structural equation modeling and bias-corrected bootstrap analyses(5000 resamples)revealed that mindfulness directly enhanced positive emotions,psychological capital,and study engagement,while reducing negative emotions.Positive emotions partially mediated the positive effect of mindfulness on psychological capital and study engagement.Negative emotions partially and negatively mediated only the mindfulness-psychological capital link.Psychological capital independently mediated the mindfulness-engagement relationship,and two sequential mediation pathways emerged:(a)mindfulness→positive emotions→psychological capital→higher study engagement and(b)mindfulness→reduced negative emotions→psychological capital→higher study engagement.Consistent with broaden-and-build(B&B)theory and Conservation of Resources(COR)theory,these findings suggest that mindfulness fosters study engagement primarily by promoting positive emotional experiences and strengthening psychological capital.By implication,university student support programs should employ mindfulness-based interventions to cultivate emotional and psychological resources for higher students’engagement and overall well-being.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.
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.
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(U24A2079,22272003,22301013)the Program of Beijing Municipal Education Commission(KZ20231000506)+1 种基金the National Key Research and Development Program of China(2023YFB3810800)the China Postdoctoral Science Foundation(2025M770117,GZC20250088)。
文摘Carbon dots(CDs),as emerging zero-dimensional carbon-based nanomaterials,demonstrate immense potential across optical displays,bioimaging,chemical sensing,information anti-counterfeiting,and optoelectronic devices.This promise stems from their exceptional tunable photoluminescence,low toxicity,biocompatibility,and abundant raw material sources.Since their discovery,research has centered on resolving controversies regarding classification,formation mechanism,microstructure,and luminescence principles while achieving controllable optoelectronic properties.Applications have evolved from basic fluorescent labeling to advanced domains including multimodal theranostics,high-sensitivity(bio/chemical)sensing,stable optoelectronic devices,intelligent anticounterfeiting systems,and environmental/energy catalysis.Future challenges demand breakthroughs in structural homogeneity/scalable eco-fabrication,universal structure-opto/electronic-property models,stability/efficiency in complex environments,and multifunctional synergy(e.g.,photo-electro-catalysis).This comprehensive review systematically examines milestone advances in CDs research over the past decade—spanning synthesis methodologies,photo/electronic property modulation mechanisms,and innovative applications—while dissecting key challenges and envisioning future pathways as versatile intelligent nanoplatforms.
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.
基金funded by Sichuan Science and Technology Program,grant numbers 2021YFYZ0010,2023YFH0006,2025YFHZ0295The Basic Research Program of Sichuan Provincial Research Institutes,grant numbers 2024JDKY0001 and 2023JDKY0001.
文摘The genus Actinidia is primarily functionally dioecious,and early sex identification plays a crucial role in improving breeding efficiency and reducing production costs.In this study,the accuracy of three sex-linked molecular markers(SyGI[Shy Girl],FrBy[Friendly Boy],and SmY1)in sex identification was evaluated in various Actinidia species.The selected marker products were subsequently cloned and sequenced in six wild Actinidia species.Ninety-six wild A.chinensis chinensis accessions and 74 A.chinensis deliciosa accessions,most of which were wild,with only one cultivated,were used for comprehensive primer validation.Thirty-three juvenile A.chinensis chinensis hybrid seedlings were used for practical application tests.The results showed that the marker SyGI accurately identified the sex of 20 samples from six Actinidia species and 96 A.chinensis chinensis accessions with 100%reliability.For Actinidia chinensis deliciosa,the identification accuracy reached 98.65%.Sequence analysis revealed that SyGI shared the highest similarity with the male-specific genomic region.Furthermore,SyGI achieved 100%accuracy in identifying the sex of 33 juvenile A.chinensis chinensis individuals.The findings confirm that the SyGI marker possesses high accuracy,strong specificity,and broad applicability,making it a valuable tool for kiwifruit breeding programs.The cloned sequences from wild Actinidia species also provide important references for future research on the mechanisms of sexual evolution and determination.
文摘Network-on-Chip(NoC)systems are progressively deployed in connecting massively parallel megacore systems in the new computing architecture.As a result,application mapping has become an important aspect of performance and scalability,as current trends require the distribution of computation across network nodes/points.In this paper,we survey a large number of mapping and scheduling techniques designed for NoC architectures.This time,we concentrated on 3D systems.We take a systematic literature review approach to analyze existing methods across static,dynamic,hybrid,and machine-learning-based approaches,alongside preliminary AI-based dynamic models in recent works.We classify them into several main aspects covering power-aware mapping,fault tolerance,load-balancing,and adaptive for dynamic workloads.Also,we assess the efficacy of each method against performance parameters,such as latency,throughput,response time,and error rate.Key challenges,including energy efficiency,real-time adaptability,and reinforcement learning integration,are highlighted as well.To the best of our knowledge,this is one of the recent reviews that identifies both traditional and AI-based algorithms for mapping over a modern NoC,and opens research challenges.Finally,we provide directions for future work toward improved adaptability and scalability via lightweight learned models and hierarchical mapping frameworks.
基金support from the Contract Research(“Development of Breathable Fabrics with Nano-Electrospun Membrane”,CityU ref.:9231419“Research and application of antibacterial and healing-promoting smart nanofiber dressing for children’s burn wounds”,CityU ref:PJ9240111)+1 种基金the National Natural Science Foundation of China(“Study of Multi-Responsive Shape Memory Polyurethane Nanocomposites Inspired by Natural Fibers”,Grant No.51673162)Startup Grant of CityU(“Laboratory of Wearable Materials for Healthcare”,Grant No.9380116).
文摘Radiative cooling systems(RCSs)possess the distinctive capability to dissipate heat energy via solar and thermal radiation,making them suitable for thermal regulation and energy conservation applications,essential for mitigating the energy crisis.A comprehensive review connecting the advancements in engineered radiative cooling systems(ERCSs),encompassing material and structural design as well as thermal and energy-related applications,is currently absent.Herein,this review begins with a concise summary of the essential concepts of ERCSs,followed by an introduction to engineered materials and structures,containing nature-inspired designs,chromatic materials,meta-structural configurations,and multilayered constructions.It subsequently encapsulates the primary applications,including thermal-regulating textiles and energy-saving devices.Next,it highlights the challenges of ERCSs,including maximized thermoregulatory effects,environmental adaptability,scalability and sustainability,and interdisciplinary integration.It seeks to offer direction for forthcoming fundamental research and industrial advancement of radiative cooling systems in real-world applications.
文摘Liver transplantation(LT)remains the optimal life-saving intervention for patients with end-stage liver disease.Despite the recent advances in LT several barriers,including organ allocation,donor-recipient matching,and patient education,persist.With the growing progress of artificial intelligence,particularly large language models(LLMs)like ChatGPT,new applications have emerged in the field of LT.Current studies demonstrating usage of ChatGPT in LT include various areas of application,from clinical settings to research and education.ChatGPT usage can benefit both healthcare professionals,by decreasing the time spent on non-clinical work,but also LT recipients by providing accurate information.Future potential applications include the expanding usage of ChatGPT and other LLMs in the field of LT pathology and radiology as well as the automated creation of discharge summaries or other related paperwork.Additionally,the next models of ChatGPT might have the potential to provide more accurate patient education material with increased readability.Although ChatGPT usage presents promising applications,there are certain ethical and practical limitations.Key concerns include patient data privacy,information accuracy,misinformation possibility and lack of legal framework.Healthcare providers and policymakers should collaborate for the establishment of a controlled framework for the safe use of ChatGPT.The aim of this minireview is to summarize current literature on ChatGPT in LT,highlighting both opportunities and limitations,while also providing future possible applications.
文摘Mindfulness would enhance university students’emotional well-being and study engagement.However,the role of affect(positive and negative emotions)and psychological resources(psychological capital)linking mindfulness to study engagement remain underexplored.This cross-sectional study surveyed 688 Chinese university students(females=413,mean age=20.3,SD=0.83),using validated self-report measures of mindfulness,positive and negative emotions,psychological capital,and study engagement.Structural equation modeling and bias-corrected bootstrap analyses(5000 resamples)revealed that mindfulness directly enhanced positive emotions,psychological capital,and study engagement,while reducing negative emotions.Positive emotions partially mediated the positive effect of mindfulness on psychological capital and study engagement.Negative emotions partially and negatively mediated only the mindfulness-psychological capital link.Psychological capital independently mediated the mindfulness-engagement relationship,and two sequential mediation pathways emerged:(a)mindfulness→positive emotions→psychological capital→higher study engagement and(b)mindfulness→reduced negative emotions→psychological capital→higher study engagement.Consistent with broaden-and-build(B&B)theory and Conservation of Resources(COR)theory,these findings suggest that mindfulness fosters study engagement primarily by promoting positive emotional experiences and strengthening psychological capital.By implication,university student support programs should employ mindfulness-based interventions to cultivate emotional and psychological resources for higher students’engagement and overall well-being.
