Evaluating Adherence to Safety Standards for Physical Space Design, Equipment, and Patient and Staff Protection in Magnetic Resonance Imaging Centers:A Descriptive Cross-sectional Study Amirreza Sadeghinasab1, Jafar F...Evaluating Adherence to Safety Standards for Physical Space Design, Equipment, and Patient and Staff Protection in Magnetic Resonance Imaging Centers:A Descriptive Cross-sectional Study Amirreza Sadeghinasab1, Jafar Fatahiasl2, Mahmoud Mohammadi-Sadr1, Masoud Heydari Kahkesh3, and Marziyeh Tahmasbi2(1.Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;2.Department of Radiologic Technology, School of Allied Medical Sciences, Ahvaz, Jundishapur University of Medical Sciences, Ahvaz, Iran;3.Department of Radiology and Radiotherapy, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran)Abstract:Magnetic resonance imaging(MRI) has revolutionized disease diagnosis and treatment.However, the technology poses safety risks, such as exposure to magnetic fields, RF pulses, and cryogens, necessitating strict adherence to safety protocols to protect patients and healthcare workers.展开更多
In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detec...In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detection of Vibrio parahaemolyticus.The nanozyme integrated magnetic separation,peroxidase-like catalytic activity,and specific target recognition through an aptamer-based strategy.Upon binding to V.parahaemolyticus,the catalytic oxidation of tetra-aminophenylethylene(TPE-4A)by the nanozyme was selectively inhibited,resulting in distinct colorimetric and fluorescent signals that significantly enhanced the detection accuracy and reliability.The proposed method exhibited high sensitivity,with limits of detection(LOD)of 21 and 7 CFU/mL for the colorimetric and fluorescent assays,respectively.The performance of this method was validated using real seafood samples,including Penaeus vannamei,Mytilus coruscus,and Crassostrea gigas,which showed high recovery rates(101.11%-107.30%)and excellent reproducibility.The system also demonstrated strong specificity and accuracy under various conditions,confirming its robustness and practical applicability.Collectively,this innovative platform presents a promising solution for the rapid,versatile,and sensitive detection of V.parahaemolyticus in seafood,with considerable potential to advance food safety diagnosis and on-site monitoring.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
Suancai has a lengthy history and a wide range of categories,which has some influence on the pickled diet culture around the world.Suancai production is transitioning to a large-scale,standardized production due to th...Suancai has a lengthy history and a wide range of categories,which has some influence on the pickled diet culture around the world.Suancai production is transitioning to a large-scale,standardized production due to the growth of the market.It has a unique flavor and is rich in nutrients,and its abundance of free amino acids,vitamins and phenolics has many positive effects on the human body.This review gives the types and history of suancai,as well as its impact on the world’s pickled culture.The changes in nutritional composition and flavor of suancai during fermentation are summarized.It presented the production technology and influencing factors of the northeast suancai,examined the quality and safety issues in suancai,and put forth some ideas and opinions on the standardization development of the suancai industry.It also summarized the geographic distribution and flora diversity of pickles around the world.In order to provide some knowledge and guidance for the promotion of modern industrial production in the suancai industry.展开更多
Objective:To compare the clinical efficacy and safety of intravitreal injection of faricimab and conbercept in the treatment of diabetic macular edema(DME).Methods:A total of 50 patients diagnosed with DME in our hosp...Objective:To compare the clinical efficacy and safety of intravitreal injection of faricimab and conbercept in the treatment of diabetic macular edema(DME).Methods:A total of 50 patients diagnosed with DME in our hospital from January 2023 to May 2025 were selected and randomly divided into an observation group and a control group,with 25 cases in each group,using a random number table method.The observation group received intravitreal injection of faricimab,while the control group received intravitreal injection of conbercept.Both groups adopted a loading phase plus maintenance phase treatment regimen.The best-corrected visual acuity(BCVA,expressed in logMAR)and central subfield thickness(CST)of the two groups were compared before treatment and at 1,3,and 6 months after treatment,and the incidence of adverse events during treatment was recorded.Results:The logMAR BCVA in the observation group was lower than that in the control group at 3 and 6 months after treatment(both p<0.05).The CST in the observation group was smaller than that in the control group at 1,3,and 6 months after treatment(all p<0.05).There was no statistically significant difference in the overall incidence of adverse events between the two groups(χ^(2)=0.189,p=0.663).Conclusion:Both intravitreal injections of faricimab and conbercept are effective in improving visual acuity and reducing macular edema in patients with DME,with good safety profiles.However,faricimab demonstrates superior efficacy in the medium to long term(3 and 6 months)compared to conbercept,making it more suitable for long-term treatment of patients with DME.展开更多
Seaweed was fermented using Bifidobacterium,and its high-density fermentation conditions were investigated through single-factor experiments.The optimized fermentation conditions were determined as follows:Ulva powder...Seaweed was fermented using Bifidobacterium,and its high-density fermentation conditions were investigated through single-factor experiments.The optimized fermentation conditions were determined as follows:Ulva powder as the fermentation algal body,Ulva powder addition at 2%,fermented nitrogen source as 1%soy peptone,fermentation time of 26 h,and fermentation temperature of 37℃.The Ulva powder ferment broth was subjected to the Hen’s Egg Test-Chorioallantoic Membrane(HET-CAM)assay and acute cell toxicity testing to evaluate its irritancy and safety.Additionally,cell-based experiments for firming and anti-wrinking efficacy,soothing effect,whitening potency,and antioxidant activity were conducted to assess its cosmetic functionalities.The results indicated that the obtained Ulva powder ferment broth was non-irritating and exhibited a high non-cytotoxic concentration.A 5%concentration of the Ulva powder ferment broth promoted the upregulation of Type Ⅰ collagen by 32.58%±1.33%.A 10%concentration of the ferment broth achieved relative inhibition rates of 67.64%±3.99%for nitric oxide(NO)and 55.76%±0.11%for melanin,respectively.Furthermore,a 6.25%concentration of the ferment broth demonstrated an ABTS radical scavenging rate of 58.29%±4.92%.These findings suggest that the Ulva powder ferment broth is a fermentation product characterized by high safety,excellent anti-wrinking,soothing,and whitening efficacies,along with potent in vitro antioxidant capacity.This study demonstrates its value-added development and significant potential for application in industries such as cosmetics and food.展开更多
The sudden growth of harmful web pages,including spam and phishing URLs,poses a greater threat to global cybersecurity than ever before.These URLs are commonly utilised to trick people into divulging confidential deta...The sudden growth of harmful web pages,including spam and phishing URLs,poses a greater threat to global cybersecurity than ever before.These URLs are commonly utilised to trick people into divulging confidential details or to stealthily deploy malware.To address this issue,we aimed to assess the efficiency of popular machine learning and neural network models in identifying such harmful links.To serve our research needs,we employed two different datasets:the PhiUSIIL dataset,which is specifically designed to address phishing URL detection,and another dataset developed to uncover spam links by examining the wording and structure of every URL.Our strategy was to train and evaluate four classificationmodels,namely RandomForest,SupportVectorMachine(SVM),Naive Bayes,and Artificial Neural Networks(ANN),under two different feature engineering approaches:statistical text-based analysis and heuristic-based structural features.The results are in,and they are stunning:Random Forest and ANN models were always the best.During our research,we achieved some outstanding results.On the PhiUSIIL phishing dataset,the model achieved an accuracy of 99.99%,and on the spam dataset,it attained an accuracy of 99.62%.Studies surpass any previously reported findings,firmly establishing the efficacy of machine learning and neural networks in detecting malicious URLs.Not only does this work reinforce the superiority of these in-demand models,but it also sets a high bar for subsequent research and development in the field.In general,this provides the direction for building smarter,faster,and more precise tools that can spot online threats as they develop.展开更多
Mycotoxin contamination in food and feed poses a significant global challenge,adversely affecting poultry productivity and compromising both human and animal health.Among mycotoxins,T-2 toxin is of particular concern ...Mycotoxin contamination in food and feed poses a significant global challenge,adversely affecting poultry productivity and compromising both human and animal health.Among mycotoxins,T-2 toxin is of particular concern due to its potent acute toxicity,multi-organ targeting capacity,immunosuppressive effects,and environmental persistence.Biodegradation,particularly enzyme-catalyzed degradation,offers a sustainable and eco-friendly strategy with high specificity for T-2 toxin detoxification.This review comprehensively summarizes key enzymes capable of degrading T-2 toxin,including esterases,glucosyltransferases,glutathione S-transferases,and laccases,with a focus on their respective mechanisms and degradation product profiles.Moreover,the growing demand for enzymes as mycotoxin biodegraders highlights the need for extensive and diverse enzyme resources that can endure harsh reaction conditions.To address this,we propose several methods,including inverse virtual screening,machine learning,and metagenomics,to discover novel enzymes for degradation of mycotoxins including T-2 toxin.Additionally,we highlight the potential of enzyme engineering and genetic optimization strategies to enhance catalytic properties,stability,and production yields of candidate biocatalysts.Overall,this review aims to provide insights and future perspectives to advance the development and practical implementation of enzymatic degradation method for mitigating T-2 toxin contamination.展开更多
Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impactin...Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impacting flight efficiency and safety levels.However,existing research largely addresses inefficient or abnormal trajectories from a single perspective,with an absence of a unified evaluation standard.This paper introduces a method for analyzing flight deviation behavior based on automatic dependent surveillance-broadcast(ADS-B)data,defining novel metrics of trajectory redundancy and trajectory deviation.An adaptive detection algorithm is developed to capture diverse deviation patterns.Results reveal that higher trajectory redundancy is linked to lower operational efficiency,while trajectory deviation effectively identify stepped descents,holding patterns,detours,and other behaviors.The approach offers data-driven support for anomaly detection,performance evaluation and air traffic management,with substantial significance for civil aviation applications.展开更多
With the increasing application of lithium-ion batteries under high-rate operation,safety concerns such as thermal runaway(TR)and thermal runaway propagation(TRP)have become critical.In this study,the TRP action of ba...With the increasing application of lithium-ion batteries under high-rate operation,safety concerns such as thermal runaway(TR)and thermal runaway propagation(TRP)have become critical.In this study,the TRP action of batteries undergoing high-rate cycling is systematically investigated.Microanalysis results reveal that the crystallinity and I_((003))/I_((104))of the cathode are decreased by 32.95%and 13.01%after 4 C cycling,while the layered structure of the anode is seriously damaged.As revealed,the TR interval time(At)of batteries cycled at 4 C is decreased by 83.23%compared with that for batteries cycled at 1 C.Meanwhile,the maximum mass loss(ML)rate of Battery 2#is increased by 32.35%.We have further investigated the influence of battery spacing on TRP action.The maximum TR temperature of Battery2#at 1.5 cm spacing is reduced by 26.21%compared with the value at 0 cm spacing.When increasing the spacing from 0 to 1.5 cm,the ML of batteries is reduced by 20.73%.ML increases and decreases with the elevation of the charging rate and battery spacing,respectively.Compared with a battery cycled at1 C,a battery cycled at 4 C shows reduced heat required to trigger TR.The corresponding decreases can reach 68.28%,70.10%,76.88%,and 26.15%when setting the spacing at 0,0.6,1.5,and 2.1 cm,respectively.This indicates that Battery 2#can enter TR with much lower heat after high-rate cycling.Overall,high-rate cycling and low spacing accelerate the TRP of the battery and aggravate the TR severity of the battery.This work can provide insights for the practical safety design of energy storage systems.展开更多
Autonomous vehicles operate without direct human intervention,which introduces safety risks that differ from those of conventional vehicles.Although many studies have examined safety issues related to autonomous drivi...Autonomous vehicles operate without direct human intervention,which introduces safety risks that differ from those of conventional vehicles.Although many studies have examined safety issues related to autonomous driving,high-risk situations have often been defined using single indicators,making it difficult to capture the complex and evolving nature of accident risk.To address this limitation,this study proposes a structured framework for defining and analyzing high-risk situations throughout the traffic accident process.High-risk situations are described using three complementary indicators:accident likelihood,accident severity,and accident duration.These indicators explain how risk emerges,increases,and persists over time.Based on this concept,a framework for traffic accident visualization analysis is developed to support phase-specific risk assessment and visualization.The framework combines accident-phase information with factor-level risk contributions,allowing systematic identification of key factors and their interactions across different accident stages.Using combinations of the three indicators,high-risk situations are classified into twenty-seven distinct types,providing a clear typology for complex accident scenarios involving autonomous vehicles.The applicability of the proposed framework is demonstrated through two representative accident scenarioswith different risk characteristics.The results showthat the framework effectively captures interactions among multiple risk factors,explains how risk levels change from pre-crash to post-crash phases,and identifies contributing factors that are difficult to detect using conventional traffic accident investigation methods.Overall,the proposed framework offers a practical basis for autonomous vehicle accident analysis,safety evaluation,and policy-related decision-making.展开更多
Maintaining the structural integrity of parallel natural gas pipelines during leakage-induced jet fires remains a critical engineering challenge.Existing methods often fail to account for the complex interactions amon...Maintaining the structural integrity of parallel natural gas pipelines during leakage-induced jet fires remains a critical engineering challenge.Existing methods often fail to account for the complex interactions among heat transfer,material behavior,and pipeline geometry,which can lead to overly simplified and potentially unsafe assessments.To address these limitations,this study develops a multiphysics approach that integrates small-orifice leakage theory with detailed thermo-fluid-structural simulations.The proposed framework contributes to a more accurate failure analysis through three main components:(1)coupled modeling that tracks transient heat flow and stress development as fire conditions evolve;(2)risk assessment incorporating spatial layout,material property changes with temperature,and operational limits;and(3)sensitivity analysis to identify key design factors that influence structural performance under high thermal loads.Simulation results demonstrate that thermal radiation from neighboring jet fires significantly accelerates material degradation,with inter-pipeline spacing emerging as a critical determinant of structural response.Notably,increasing the spacing between pipelines reduces thermal interaction and mechanical stress transfer.As a result,systems with optimized spacing exhibit markedly lower deformation than conventional configurations.These findings provide a foundation for re-evaluating pipeline layout strategies and strengthening safety protocols,particularly in high-risk environments where fire exposure can severely compromise structural reliability.The proposed approach offers actionable guidance for engineers and policymakers seeking to enhance the resilience of pipeline infrastructure under extreme thermal conditions.展开更多
With the progress of Industry 4.0,collaborative robots(cobots) have become a key area of innovation.However,safety standards such as ISO/TS 15066 often lag behind rapid technological advances,failing to balance safety...With the progress of Industry 4.0,collaborative robots(cobots) have become a key area of innovation.However,safety standards such as ISO/TS 15066 often lag behind rapid technological advances,failing to balance safety and innovation.This paper analyzes the conflicts between standards and innovation of industrial cobots,including lag,rigidity,and safetyperformance trade-offs.It proposes flexible standards,regulatory sandboxes,and lifecycle safety approaches to align safety with technological progress.展开更多
Embodied intelligence is redefining policing On the first day of 2026 chunyun,a period of high mobility associated with the Chinese New Year,the city of Jingzhou in Hubei Province welcomed new participants in road saf...Embodied intelligence is redefining policing On the first day of 2026 chunyun,a period of high mobility associated with the Chinese New Year,the city of Jingzhou in Hubei Province welcomed new participants in road safety:police robots capable of moving autonomously and interacting with passengers.Deployed on a trial basis on 2 February,these robots quickly demonstrated their usefulness in various urban settings.展开更多
Tree failure is an international problem,a major risk to public safety,and of growing concern because of extreme weather events.Tree biomechanics can inform the probability of tree failure,but empirical data from trop...Tree failure is an international problem,a major risk to public safety,and of growing concern because of extreme weather events.Tree biomechanics can inform the probability of tree failure,but empirical data from tropical settings are scarce.As a case study,we analyze the biomechanics(safety factor)of large heritage trees in public spaces in Indonesia.We examined critical buckling height using the Euler and Ylinen bending stress method.Tree morphometry(height,diameter at breast height,crown diameter),stability(modulus of elasticity),critical buckling height,and safety factor were quantified during this study.We found that large heritage trees in public spaces with buttresses have taller and larger morphometry and higher trunk and crown weights than small trees without buttresses.These trees are highly stable against external pressure.The presence of buttresses protects the target tree from rain and wind,resulting in a higher critical buckling height(H_(cr))of large(58.9 m)and buttressed target trees(58.8)than small(33.5 m)and unbuttressed trees(42.6 m),and a safety factor level of 68%safer.We make recommendations for selecting and managing trees in public spaces in a way that(i)can enhance wellbeing and biodiversity in urban planning,and(ii)is informed by risk to public safety.展开更多
With the widespread application of lithium batteries in electric vehicles and energy storage systems,battery-related safety and reliability issues have become increasingly prominent.Conventional monitoring methods oft...With the widespread application of lithium batteries in electric vehicles and energy storage systems,battery-related safety and reliability issues have become increasingly prominent.Conventional monitoring methods often struggle to address dynamic changes under complex operando.In recent years,flexible sensing technology has emerged as a promising solution for battery health monitoring due to its high adaptability and conformability to complex structures.Meanwhile,empowered by artificial intelligence(AI)for data analysis,the collected data enables efficient and accurate state assessment,offering robust support for accident prevention.Against this background,this paper first explores the integrated applications of flexible sensors in battery health monitoring and their unique advantages in addressing complex battery operating conditions,while analyzing the potential of AI in battery state analysis.Subsequently,it systematically reviews mainstream flexible sensing technologies(e.g.,film sensors,thermocouples,and optical fiber sensors),elucidating their mechanisms for revealing intricate internal battery processes during operation.Finally,the paper discusses AI’s role in enhancing monitoring efficiency and accuracy,and envisions future research directions and application prospects.This work aims to provide technical references for the battery health monitoring field as well as promote the application of flexible sensing technologies in improving battery system safety and reliability.展开更多
Objective:To analyze the impact of improved emergency integrated nursing on the treatment effectiveness and safety of emergency trauma patients.Methods:Study duration:December 2024 to December 2025.Observation target:...Objective:To analyze the impact of improved emergency integrated nursing on the treatment effectiveness and safety of emergency trauma patients.Methods:Study duration:December 2024 to December 2025.Observation target:emergency trauma patients in our hospital.Sample size:92 cases.Using computer-based grouping,the 92 patients were divided into two equally sized groups:a control group of 46 patients who received conventional emergency nursing care,and an observation group of 46 patients who underwent an improved emergency integrated nursing model.The treatment-related indicators,treatment effectiveness,and incidence of adverse events were evaluated in both groups.Results:After intervention,the pre-hospital emergency care time,emergency diagnosis time,total emergency rescue duration,and examination waiting time in the control group were all longer than those in the observation group(p<0.05);the treatment effectiveness in the control group(effective rate:82.61%)was worse than that in the observation group(effective rate:95.65%),p<0.05;compared with the control group,the observation group had a lower incidence of adverse events,p<0.05.Conclusion:Implementing an improved emergency integrated nursing model for emergency trauma patients helps streamline the treatment process,enhance treatment effectiveness,and reduce the incidence of adverse events.展开更多
Nanoscale red phosphorus(NRP)was synthesized via a phosphorus-amine dissolution method and immobilized onto mesoporous silica nanospheres(MSNs)to obtain hybrid NRP@MSN particles with improved dispersion stability.Epox...Nanoscale red phosphorus(NRP)was synthesized via a phosphorus-amine dissolution method and immobilized onto mesoporous silica nanospheres(MSNs)to obtain hybrid NRP@MSN particles with improved dispersion stability.Epoxy resin(EP)composites containing 2 wt%fillers were prepared to evaluate their thermal and flame-retardant behaviors.Compared with EP,the NRP@MSNs/EP composite significantly enhanced fire safety,resulting in a 52.8%reduction in the peak heat release rate,a 13.9%decrease in total smoke production,and a 165%increase in char yield.Mechanical testing revealed a notable toughening effect under impact loading.The improved flame retardancy originates from the combined nano-barrier effect of MSNs and the catalytic charring and radical-quenching functions of NRP.This work demonstrates an efficient strategy for stabilizing NRP and highlights its strong potential as an environmentally friendly flame retardant for EP systems.展开更多
To ensure the safe transportation of radioactive materials,numerous countries have established specific standards.For the transfer of fissile materials,it is imperative that the material within the packaging remains i...To ensure the safe transportation of radioactive materials,numerous countries have established specific standards.For the transfer of fissile materials,it is imperative that the material within the packaging remains in a subcritical state during routine,normal,and accidental transport conditions.In the event of an accident,the rods within the storage tank may become rearranged,introducing uncertainty that must be accounted for to ensure that criticality analysis results are conservative.Historically,this uncertainty was addressed overly conservatively due to limited research on non-uniform arrangement scenarios,which proved unsuitable for criticality safety analysis of spent fuel packages.This paper introduced three distinct methods to non-uniformly rearrange fuel rods—Uniform Arrangement by Blocks,Layer-by-Layer Determination,and Birdcage Deformation—and meticulously evaluates the influences of rod rearrangement on the effective multiplication factor of neutrons,k eff,utilizing the Monte Carlo method.Ultimately,this study presents a holistic method capable of encompassing the entire spectrum of potential effects stemming from the rearrangement of fuel rods during rods mispositioning accident.By augmenting the safety margin,this approach proves to be adeptly suited for the criticality safety analysis of nuclear fuel transport containers.展开更多
With the development of autonomous driving technologies,modern vehicles are confronted with two major challenges.On one hand,the rapid growth in electronic control units and data-intensive applications has led to a sh...With the development of autonomous driving technologies,modern vehicles are confronted with two major challenges.On one hand,the rapid growth in electronic control units and data-intensive applications has led to a sharp increase in invehicle data traffic,thereby demanding much higher communication bandwidth,lower latency,and enhanced security.On the other hand,ensuring driving safety calls for more advanced thermal management systems,as traditional point-type sensors face deployment challenges due to their limited monitoring range.展开更多
文摘Evaluating Adherence to Safety Standards for Physical Space Design, Equipment, and Patient and Staff Protection in Magnetic Resonance Imaging Centers:A Descriptive Cross-sectional Study Amirreza Sadeghinasab1, Jafar Fatahiasl2, Mahmoud Mohammadi-Sadr1, Masoud Heydari Kahkesh3, and Marziyeh Tahmasbi2(1.Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran;2.Department of Radiologic Technology, School of Allied Medical Sciences, Ahvaz, Jundishapur University of Medical Sciences, Ahvaz, Iran;3.Department of Radiology and Radiotherapy, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran)Abstract:Magnetic resonance imaging(MRI) has revolutionized disease diagnosis and treatment.However, the technology poses safety risks, such as exposure to magnetic fields, RF pulses, and cryogens, necessitating strict adherence to safety protocols to protect patients and healthcare workers.
文摘In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detection of Vibrio parahaemolyticus.The nanozyme integrated magnetic separation,peroxidase-like catalytic activity,and specific target recognition through an aptamer-based strategy.Upon binding to V.parahaemolyticus,the catalytic oxidation of tetra-aminophenylethylene(TPE-4A)by the nanozyme was selectively inhibited,resulting in distinct colorimetric and fluorescent signals that significantly enhanced the detection accuracy and reliability.The proposed method exhibited high sensitivity,with limits of detection(LOD)of 21 and 7 CFU/mL for the colorimetric and fluorescent assays,respectively.The performance of this method was validated using real seafood samples,including Penaeus vannamei,Mytilus coruscus,and Crassostrea gigas,which showed high recovery rates(101.11%-107.30%)and excellent reproducibility.The system also demonstrated strong specificity and accuracy under various conditions,confirming its robustness and practical applicability.Collectively,this innovative platform presents a promising solution for the rapid,versatile,and sensitive detection of V.parahaemolyticus in seafood,with considerable potential to advance food safety diagnosis and on-site monitoring.
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 Foundation of National Dairy Technology Innovation Center(2022-Open Funding Project-12)Foundation of National Dairy Technology Innovation Center(2022-Scientific Research-9)+2 种基金Key Project of National Dairy Innovation Research Center of Inner Mongolia(2021-National Dairy Innovation Research Center-8)Key Projects of Research Operating Expenses of Provincial Research Institutes in Heilongjiang Province(CZKYF2021-2-B017)Key Project of Natural Science Foundation of Heilongjiang Province(ZD2022C007).
文摘Suancai has a lengthy history and a wide range of categories,which has some influence on the pickled diet culture around the world.Suancai production is transitioning to a large-scale,standardized production due to the growth of the market.It has a unique flavor and is rich in nutrients,and its abundance of free amino acids,vitamins and phenolics has many positive effects on the human body.This review gives the types and history of suancai,as well as its impact on the world’s pickled culture.The changes in nutritional composition and flavor of suancai during fermentation are summarized.It presented the production technology and influencing factors of the northeast suancai,examined the quality and safety issues in suancai,and put forth some ideas and opinions on the standardization development of the suancai industry.It also summarized the geographic distribution and flora diversity of pickles around the world.In order to provide some knowledge and guidance for the promotion of modern industrial production in the suancai industry.
文摘Objective:To compare the clinical efficacy and safety of intravitreal injection of faricimab and conbercept in the treatment of diabetic macular edema(DME).Methods:A total of 50 patients diagnosed with DME in our hospital from January 2023 to May 2025 were selected and randomly divided into an observation group and a control group,with 25 cases in each group,using a random number table method.The observation group received intravitreal injection of faricimab,while the control group received intravitreal injection of conbercept.Both groups adopted a loading phase plus maintenance phase treatment regimen.The best-corrected visual acuity(BCVA,expressed in logMAR)and central subfield thickness(CST)of the two groups were compared before treatment and at 1,3,and 6 months after treatment,and the incidence of adverse events during treatment was recorded.Results:The logMAR BCVA in the observation group was lower than that in the control group at 3 and 6 months after treatment(both p<0.05).The CST in the observation group was smaller than that in the control group at 1,3,and 6 months after treatment(all p<0.05).There was no statistically significant difference in the overall incidence of adverse events between the two groups(χ^(2)=0.189,p=0.663).Conclusion:Both intravitreal injections of faricimab and conbercept are effective in improving visual acuity and reducing macular edema in patients with DME,with good safety profiles.However,faricimab demonstrates superior efficacy in the medium to long term(3 and 6 months)compared to conbercept,making it more suitable for long-term treatment of patients with DME.
文摘Seaweed was fermented using Bifidobacterium,and its high-density fermentation conditions were investigated through single-factor experiments.The optimized fermentation conditions were determined as follows:Ulva powder as the fermentation algal body,Ulva powder addition at 2%,fermented nitrogen source as 1%soy peptone,fermentation time of 26 h,and fermentation temperature of 37℃.The Ulva powder ferment broth was subjected to the Hen’s Egg Test-Chorioallantoic Membrane(HET-CAM)assay and acute cell toxicity testing to evaluate its irritancy and safety.Additionally,cell-based experiments for firming and anti-wrinking efficacy,soothing effect,whitening potency,and antioxidant activity were conducted to assess its cosmetic functionalities.The results indicated that the obtained Ulva powder ferment broth was non-irritating and exhibited a high non-cytotoxic concentration.A 5%concentration of the Ulva powder ferment broth promoted the upregulation of Type Ⅰ collagen by 32.58%±1.33%.A 10%concentration of the ferment broth achieved relative inhibition rates of 67.64%±3.99%for nitric oxide(NO)and 55.76%±0.11%for melanin,respectively.Furthermore,a 6.25%concentration of the ferment broth demonstrated an ABTS radical scavenging rate of 58.29%±4.92%.These findings suggest that the Ulva powder ferment broth is a fermentation product characterized by high safety,excellent anti-wrinking,soothing,and whitening efficacies,along with potent in vitro antioxidant capacity.This study demonstrates its value-added development and significant potential for application in industries such as cosmetics and food.
文摘The sudden growth of harmful web pages,including spam and phishing URLs,poses a greater threat to global cybersecurity than ever before.These URLs are commonly utilised to trick people into divulging confidential details or to stealthily deploy malware.To address this issue,we aimed to assess the efficiency of popular machine learning and neural network models in identifying such harmful links.To serve our research needs,we employed two different datasets:the PhiUSIIL dataset,which is specifically designed to address phishing URL detection,and another dataset developed to uncover spam links by examining the wording and structure of every URL.Our strategy was to train and evaluate four classificationmodels,namely RandomForest,SupportVectorMachine(SVM),Naive Bayes,and Artificial Neural Networks(ANN),under two different feature engineering approaches:statistical text-based analysis and heuristic-based structural features.The results are in,and they are stunning:Random Forest and ANN models were always the best.During our research,we achieved some outstanding results.On the PhiUSIIL phishing dataset,the model achieved an accuracy of 99.99%,and on the spam dataset,it attained an accuracy of 99.62%.Studies surpass any previously reported findings,firmly establishing the efficacy of machine learning and neural networks in detecting malicious URLs.Not only does this work reinforce the superiority of these in-demand models,but it also sets a high bar for subsequent research and development in the field.In general,this provides the direction for building smarter,faster,and more precise tools that can spot online threats as they develop.
基金supported by the Hubei Province Regional Science and Technology Innovation Plan Project(2025EHA016).
文摘Mycotoxin contamination in food and feed poses a significant global challenge,adversely affecting poultry productivity and compromising both human and animal health.Among mycotoxins,T-2 toxin is of particular concern due to its potent acute toxicity,multi-organ targeting capacity,immunosuppressive effects,and environmental persistence.Biodegradation,particularly enzyme-catalyzed degradation,offers a sustainable and eco-friendly strategy with high specificity for T-2 toxin detoxification.This review comprehensively summarizes key enzymes capable of degrading T-2 toxin,including esterases,glucosyltransferases,glutathione S-transferases,and laccases,with a focus on their respective mechanisms and degradation product profiles.Moreover,the growing demand for enzymes as mycotoxin biodegraders highlights the need for extensive and diverse enzyme resources that can endure harsh reaction conditions.To address this,we propose several methods,including inverse virtual screening,machine learning,and metagenomics,to discover novel enzymes for degradation of mycotoxins including T-2 toxin.Additionally,we highlight the potential of enzyme engineering and genetic optimization strategies to enhance catalytic properties,stability,and production yields of candidate biocatalysts.Overall,this review aims to provide insights and future perspectives to advance the development and practical implementation of enzymatic degradation method for mitigating T-2 toxin contamination.
基金supported in part by the National Key Research and Development Program of China(No.2023YFB4302903)the Fundamental Research Funds for the Central Universities(No.210525001464)。
文摘Flight behavior analysis provides the fundamental basis for the future development of air traffic management(ATM).The characteristics of aircraft behavior are inherently reflected in their flight trajectories,impacting flight efficiency and safety levels.However,existing research largely addresses inefficient or abnormal trajectories from a single perspective,with an absence of a unified evaluation standard.This paper introduces a method for analyzing flight deviation behavior based on automatic dependent surveillance-broadcast(ADS-B)data,defining novel metrics of trajectory redundancy and trajectory deviation.An adaptive detection algorithm is developed to capture diverse deviation patterns.Results reveal that higher trajectory redundancy is linked to lower operational efficiency,while trajectory deviation effectively identify stepped descents,holding patterns,detours,and other behaviors.The approach offers data-driven support for anomaly detection,performance evaluation and air traffic management,with substantial significance for civil aviation applications.
基金supported by the National Key Research and Development Plan(2023YFC30099000)the National Natural Science Foundation of China(52104197,52272396,52474233)+2 种基金the Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions(2020240521)the Open Fund of the State Key Laboratory of Fire Science(SKLFS)Program(HZ2025-KF03)the Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX25_0595)。
文摘With the increasing application of lithium-ion batteries under high-rate operation,safety concerns such as thermal runaway(TR)and thermal runaway propagation(TRP)have become critical.In this study,the TRP action of batteries undergoing high-rate cycling is systematically investigated.Microanalysis results reveal that the crystallinity and I_((003))/I_((104))of the cathode are decreased by 32.95%and 13.01%after 4 C cycling,while the layered structure of the anode is seriously damaged.As revealed,the TR interval time(At)of batteries cycled at 4 C is decreased by 83.23%compared with that for batteries cycled at 1 C.Meanwhile,the maximum mass loss(ML)rate of Battery 2#is increased by 32.35%.We have further investigated the influence of battery spacing on TRP action.The maximum TR temperature of Battery2#at 1.5 cm spacing is reduced by 26.21%compared with the value at 0 cm spacing.When increasing the spacing from 0 to 1.5 cm,the ML of batteries is reduced by 20.73%.ML increases and decreases with the elevation of the charging rate and battery spacing,respectively.Compared with a battery cycled at1 C,a battery cycled at 4 C shows reduced heat required to trigger TR.The corresponding decreases can reach 68.28%,70.10%,76.88%,and 26.15%when setting the spacing at 0,0.6,1.5,and 2.1 cm,respectively.This indicates that Battery 2#can enter TR with much lower heat after high-rate cycling.Overall,high-rate cycling and low spacing accelerate the TRP of the battery and aggravate the TR severity of the battery.This work can provide insights for the practical safety design of energy storage systems.
基金supported by the Korea Institute of Police Technology(No.:RS-2024-00405603).
文摘Autonomous vehicles operate without direct human intervention,which introduces safety risks that differ from those of conventional vehicles.Although many studies have examined safety issues related to autonomous driving,high-risk situations have often been defined using single indicators,making it difficult to capture the complex and evolving nature of accident risk.To address this limitation,this study proposes a structured framework for defining and analyzing high-risk situations throughout the traffic accident process.High-risk situations are described using three complementary indicators:accident likelihood,accident severity,and accident duration.These indicators explain how risk emerges,increases,and persists over time.Based on this concept,a framework for traffic accident visualization analysis is developed to support phase-specific risk assessment and visualization.The framework combines accident-phase information with factor-level risk contributions,allowing systematic identification of key factors and their interactions across different accident stages.Using combinations of the three indicators,high-risk situations are classified into twenty-seven distinct types,providing a clear typology for complex accident scenarios involving autonomous vehicles.The applicability of the proposed framework is demonstrated through two representative accident scenarioswith different risk characteristics.The results showthat the framework effectively captures interactions among multiple risk factors,explains how risk levels change from pre-crash to post-crash phases,and identifies contributing factors that are difficult to detect using conventional traffic accident investigation methods.Overall,the proposed framework offers a practical basis for autonomous vehicle accident analysis,safety evaluation,and policy-related decision-making.
文摘Maintaining the structural integrity of parallel natural gas pipelines during leakage-induced jet fires remains a critical engineering challenge.Existing methods often fail to account for the complex interactions among heat transfer,material behavior,and pipeline geometry,which can lead to overly simplified and potentially unsafe assessments.To address these limitations,this study develops a multiphysics approach that integrates small-orifice leakage theory with detailed thermo-fluid-structural simulations.The proposed framework contributes to a more accurate failure analysis through three main components:(1)coupled modeling that tracks transient heat flow and stress development as fire conditions evolve;(2)risk assessment incorporating spatial layout,material property changes with temperature,and operational limits;and(3)sensitivity analysis to identify key design factors that influence structural performance under high thermal loads.Simulation results demonstrate that thermal radiation from neighboring jet fires significantly accelerates material degradation,with inter-pipeline spacing emerging as a critical determinant of structural response.Notably,increasing the spacing between pipelines reduces thermal interaction and mechanical stress transfer.As a result,systems with optimized spacing exhibit markedly lower deformation than conventional configurations.These findings provide a foundation for re-evaluating pipeline layout strategies and strengthening safety protocols,particularly in high-risk environments where fire exposure can severely compromise structural reliability.The proposed approach offers actionable guidance for engineers and policymakers seeking to enhance the resilience of pipeline infrastructure under extreme thermal conditions.
文摘With the progress of Industry 4.0,collaborative robots(cobots) have become a key area of innovation.However,safety standards such as ISO/TS 15066 often lag behind rapid technological advances,failing to balance safety and innovation.This paper analyzes the conflicts between standards and innovation of industrial cobots,including lag,rigidity,and safetyperformance trade-offs.It proposes flexible standards,regulatory sandboxes,and lifecycle safety approaches to align safety with technological progress.
文摘Embodied intelligence is redefining policing On the first day of 2026 chunyun,a period of high mobility associated with the Chinese New Year,the city of Jingzhou in Hubei Province welcomed new participants in road safety:police robots capable of moving autonomously and interacting with passengers.Deployed on a trial basis on 2 February,these robots quickly demonstrated their usefulness in various urban settings.
文摘Tree failure is an international problem,a major risk to public safety,and of growing concern because of extreme weather events.Tree biomechanics can inform the probability of tree failure,but empirical data from tropical settings are scarce.As a case study,we analyze the biomechanics(safety factor)of large heritage trees in public spaces in Indonesia.We examined critical buckling height using the Euler and Ylinen bending stress method.Tree morphometry(height,diameter at breast height,crown diameter),stability(modulus of elasticity),critical buckling height,and safety factor were quantified during this study.We found that large heritage trees in public spaces with buttresses have taller and larger morphometry and higher trunk and crown weights than small trees without buttresses.These trees are highly stable against external pressure.The presence of buttresses protects the target tree from rain and wind,resulting in a higher critical buckling height(H_(cr))of large(58.9 m)and buttressed target trees(58.8)than small(33.5 m)and unbuttressed trees(42.6 m),and a safety factor level of 68%safer.We make recommendations for selecting and managing trees in public spaces in a way that(i)can enhance wellbeing and biodiversity in urban planning,and(ii)is informed by risk to public safety.
基金supported by the grant of State Key Laboratory of Space Environment Interaction with Matters,the Science and Technology on Vacuum Technology and Physics Laboratory Fund(HTKJ2023KL510008)Key Program of the National Natural Science Foundation of China(No.62433017)+6 种基金the National Natural Science Foundation of China(No.62274140)the Fundamental Research Funds for the Central Universities(20720230030)the Xiaomi Young Talents Program/Xiaomi Foundation,Shenzhen Science and Technology Program(JCYJ20230807091401003)the Young Elite Scientist Sponsorship Program by Cast(No.YESS20230523)the State Key Laboratory of Space Environment Interaction with Matters(WDZC-HGD-2022-08)the Gansu Provincial Science and Technology Major Project(2244ZZDD1133GGAA000077)the China Aerospace Science and Technology Group Corporation Young Top Talents.
文摘With the widespread application of lithium batteries in electric vehicles and energy storage systems,battery-related safety and reliability issues have become increasingly prominent.Conventional monitoring methods often struggle to address dynamic changes under complex operando.In recent years,flexible sensing technology has emerged as a promising solution for battery health monitoring due to its high adaptability and conformability to complex structures.Meanwhile,empowered by artificial intelligence(AI)for data analysis,the collected data enables efficient and accurate state assessment,offering robust support for accident prevention.Against this background,this paper first explores the integrated applications of flexible sensors in battery health monitoring and their unique advantages in addressing complex battery operating conditions,while analyzing the potential of AI in battery state analysis.Subsequently,it systematically reviews mainstream flexible sensing technologies(e.g.,film sensors,thermocouples,and optical fiber sensors),elucidating their mechanisms for revealing intricate internal battery processes during operation.Finally,the paper discusses AI’s role in enhancing monitoring efficiency and accuracy,and envisions future research directions and application prospects.This work aims to provide technical references for the battery health monitoring field as well as promote the application of flexible sensing technologies in improving battery system safety and reliability.
文摘Objective:To analyze the impact of improved emergency integrated nursing on the treatment effectiveness and safety of emergency trauma patients.Methods:Study duration:December 2024 to December 2025.Observation target:emergency trauma patients in our hospital.Sample size:92 cases.Using computer-based grouping,the 92 patients were divided into two equally sized groups:a control group of 46 patients who received conventional emergency nursing care,and an observation group of 46 patients who underwent an improved emergency integrated nursing model.The treatment-related indicators,treatment effectiveness,and incidence of adverse events were evaluated in both groups.Results:After intervention,the pre-hospital emergency care time,emergency diagnosis time,total emergency rescue duration,and examination waiting time in the control group were all longer than those in the observation group(p<0.05);the treatment effectiveness in the control group(effective rate:82.61%)was worse than that in the observation group(effective rate:95.65%),p<0.05;compared with the control group,the observation group had a lower incidence of adverse events,p<0.05.Conclusion:Implementing an improved emergency integrated nursing model for emergency trauma patients helps streamline the treatment process,enhance treatment effectiveness,and reduce the incidence of adverse events.
基金financially supported by the National Natural Science Foundation of China(Nos.22175167 and 22375195)the Science Fund for Distinguished Young Scholars of Anhui Province(No.2308085J05)This work was also partially carried out at the Instruments Center for Physical Science,University of Science and Technology of China,and partially performed using the services from Scientific Compass(www.shiyanjia.com).
文摘Nanoscale red phosphorus(NRP)was synthesized via a phosphorus-amine dissolution method and immobilized onto mesoporous silica nanospheres(MSNs)to obtain hybrid NRP@MSN particles with improved dispersion stability.Epoxy resin(EP)composites containing 2 wt%fillers were prepared to evaluate their thermal and flame-retardant behaviors.Compared with EP,the NRP@MSNs/EP composite significantly enhanced fire safety,resulting in a 52.8%reduction in the peak heat release rate,a 13.9%decrease in total smoke production,and a 165%increase in char yield.Mechanical testing revealed a notable toughening effect under impact loading.The improved flame retardancy originates from the combined nano-barrier effect of MSNs and the catalytic charring and radical-quenching functions of NRP.This work demonstrates an efficient strategy for stabilizing NRP and highlights its strong potential as an environmentally friendly flame retardant for EP systems.
文摘To ensure the safe transportation of radioactive materials,numerous countries have established specific standards.For the transfer of fissile materials,it is imperative that the material within the packaging remains in a subcritical state during routine,normal,and accidental transport conditions.In the event of an accident,the rods within the storage tank may become rearranged,introducing uncertainty that must be accounted for to ensure that criticality analysis results are conservative.Historically,this uncertainty was addressed overly conservatively due to limited research on non-uniform arrangement scenarios,which proved unsuitable for criticality safety analysis of spent fuel packages.This paper introduced three distinct methods to non-uniformly rearrange fuel rods—Uniform Arrangement by Blocks,Layer-by-Layer Determination,and Birdcage Deformation—and meticulously evaluates the influences of rod rearrangement on the effective multiplication factor of neutrons,k eff,utilizing the Monte Carlo method.Ultimately,this study presents a holistic method capable of encompassing the entire spectrum of potential effects stemming from the rearrangement of fuel rods during rods mispositioning accident.By augmenting the safety margin,this approach proves to be adeptly suited for the criticality safety analysis of nuclear fuel transport containers.
文摘With the development of autonomous driving technologies,modern vehicles are confronted with two major challenges.On one hand,the rapid growth in electronic control units and data-intensive applications has led to a sharp increase in invehicle data traffic,thereby demanding much higher communication bandwidth,lower latency,and enhanced security.On the other hand,ensuring driving safety calls for more advanced thermal management systems,as traditional point-type sensors face deployment challenges due to their limited monitoring range.
