Persistency of earnings is an important measure of eamings quality. It is generally accepted that the more the persistency is, the higher the quality of earnings is. We analyze the characteristic factors influencing e...Persistency of earnings is an important measure of eamings quality. It is generally accepted that the more the persistency is, the higher the quality of earnings is. We analyze the characteristic factors influencing earnings persistency, use data of A-share listed companies during 1998-2004, and find that earnings persistency is significantly related to the nature of earnings, the cash content of earnings and the quality of accruals.展开更多
Predator–prey interactions are fundamental to understanding ecosystem stability and biodiversity.In this study,we propose and analyze a stochastic predator–prey model that incorporates two critical ecological factor...Predator–prey interactions are fundamental to understanding ecosystem stability and biodiversity.In this study,we propose and analyze a stochastic predator–prey model that incorporates two critical ecological factors:prey refuge and harvesting.The model also integrates disease transmission within the predator population,adding an important layer of realism.Using rigorous mathematical techniques,we demonstrate the existence and uniqueness of a global positive solution,thereby confirming the model's biological feasibility.We further derive sufficient conditions for two key ecological scenarios:stochastic permanence,which ensures the sustained co-existence of prey and predators over time,and extinction,where one or both populations decline to zero.The interplay between prey refuge and harvesting is thoroughly examined to understand their combined impact on population dynamics.All theoretical results are validated by detailed numerical simulations,highlighting the applicability of the model to real-world ecological systems.From the simulation results,we observed that with an adequate level of prey refuge and predator harvesting,the susceptible predator and prey coexist with extensive oscillations,while the infected predator population was moving towards extinction.In addition,we have investigated the effect of disease transmission on system dynamics.Our results show that,as the transmission rate of disease increases,the susceptible predator approaches extinction,whereas,on the other hand,when it declines,the susceptible predator shows robust oscillations while the infected approaches extinction.In both cases,the prey population demonstrates robust stability due to the prey refuge.Our findings show that the management of harvesting and the prey refuge can be effective ecological tactics for disease control and species protection under stochastic environmental effects.展开更多
AIM:To characterize the distribution of persistent fetal vasculature(PFV)subtypes and to evaluate corneal astigmatism(CA)in children with unilateral PFV.METHODS:The medical records of patients diagnosed with PFV betwe...AIM:To characterize the distribution of persistent fetal vasculature(PFV)subtypes and to evaluate corneal astigmatism(CA)in children with unilateral PFV.METHODS:The medical records of patients diagnosed with PFV between January 2014 and August 2021 were retrospectively reviewed.Corneal keratometry parameters were measured using IOLMaster or a handheld keratometer.Differences in CA between the affected and fellow eyes were analyzed in 52 unilateral PFV patients with available examination data.RESULTS:Totally 133 patients diagnosed with PFV were retrospectively reviewed.The male-to-female ratio was 73/60.Median age at surgery was 38.03mo(interquartile range 58.27mo).Among the PFV patients,32(24.06%)had anterior PFV,2(1.50%)had posterior PFV,and 99(74.44%)had combined anterior-posterior PFV.Mild combined PFV was the most common subtype.In unilateral PFV cases,the mean CA in the affected eye was 2.29±1.11 D,and 59.62%(31 eyes)had CA≥2.0 D.The mean CA in the affected eyes was significantly higher than in the fellow eyes(1.37±0.77 D;P<0.001).Among PFV-affected eyes with CA≥2.0 D,the steepest corneal meridian was vertically oriented in 30 cases(96.77%),while only 1 case(3.23%)had the steepest meridian oriented horizontally.CONCLUSION:In children with unilateral PFV,CA is significantly higher in the affected eyes than in the fellow eyes,and the steepest corneal meridian was predominantly oriented vertically.展开更多
Neuropathic pain is a complex and debilitating condition caused by lesions or dysfunction within the somatosensory nervous system.Affecting an estimated 7%-10%of the global population,it presents with spontaneous pain...Neuropathic pain is a complex and debilitating condition caused by lesions or dysfunction within the somatosensory nervous system.Affecting an estimated 7%-10%of the global population,it presents with spontaneous pain,hyperalgesia,and allodynia,often accompanied by long-term emotional and cognitive consequences,such as depression and anxiety,which result in a reduced quality of life.Despite extensive research efforts,effective treatments remain limited.This limited efficacy likely stems,in part,from the heterogeneous nature of neuropathic pain,which varies widely across individuals in both clinical presentation and treatment responsiveness.展开更多
Rice cultivation,vital to global food security and the United Nations Sustainable Development Goals(SDGs),faces increasing threats from industrial pollution,which contaminates soil and water,endangers human health,and...Rice cultivation,vital to global food security and the United Nations Sustainable Development Goals(SDGs),faces increasing threats from industrial pollution,which contaminates soil and water,endangers human health,and weakens agricultural resilience.Studies indicate that contaminants such as persistent organic pollutants,radioactive elements,dyes,and potentially toxic elements,particularly from mining and industrial activities,significantly degrade soil fertility,impair plant health,and introduce harmful residues into the food chain.This contamination compromises food safety and diminishes agricultural productivity,posing a serious challenge to sustainability.Addressing these impacts requires sustainable industrial practices,advanced technologies,and eco-friendly remediation techniques.Solutions like biochar applications,precision farming,and artificial intelligence(AI)-driven pollution detection provide effective measures for restoring soil health,protecting crop integrity,and ensuring the resilience of rice farming.These approaches align rice cultivation with global sustainability goals by integrating sustainable soil and water management,adaptive crop selection,and AI innovations.Protecting rice cultivation upholds farmer livelihoods and strengthens global commitments to SDGs Zero Hunger and a resilient,safe food supply,underscoring the essential balance between industrial progress and sustainable rice cultivation.展开更多
Persistent severe rainfall(PSR)events,defined as regional-scale rainfall processes with daily precipitation no less than 50 mm for at least three consecutive days,frequently occur over South China(SC)and the middle-to...Persistent severe rainfall(PSR)events,defined as regional-scale rainfall processes with daily precipitation no less than 50 mm for at least three consecutive days,frequently occur over South China(SC)and the middle-to-lower Yangtze River Basin(MLYRB),with distinct dynamic mechanisms and moisture conditions in the two regions.Based on daily precipitation observations from China’s national meteorological stations and ERA5 reanalysis during 2012-21,this study investigates the spatiotemporal distribution of PSR events in SC and MLYRB and their associated three-dimensional circulation dynamics.The analysis integrates diagnostics of 200 hPa wave activity flux,perturbation streamfunction,500 hPa geopotential height,850 hPa wind fields,and integrated water vapor transport.Results show that PSR events in SC mainly occur during May-June,with rainfall centers over coastal and central Guangdong and Guangxi.In contrast,MLYRB events peak during June-July,with a banded rainfall pattern along the middle-to-lower Yangtze River.Dynamical diagnostics indicate that,in SC,sustained northwest-southeast propagation of 200 hPa disturbances,the southward shift of the 500 hPa trough,and steady subtropical high maintenance provide continuous dynamical support.Concurrently,strong and persistent 850 hPa southwesterlies and long-lasting moisture transport form favorable moisture conditions.In contrast,MLYRB events are marked by rapid phase transitions of 200 hPa streamfunction anomalies and northward-westward expansion of the 500 hPa subtropical high,triggering intense rainfall development.Simultaneously,abrupt enhancement of 850 hPa southwesterlies and rapid formation of a southwest moisture corridor ensure abundant and timely moisture supply,facilitating PSR onset.展开更多
Lateral movement represents the most covert and critical phase of Advanced Persistent Threats(APTs),and its detection still faces two primary challenges:sample scarcity and“cold start”of new entities.To address thes...Lateral movement represents the most covert and critical phase of Advanced Persistent Threats(APTs),and its detection still faces two primary challenges:sample scarcity and“cold start”of new entities.To address these challenges,we propose an Uncertainty-Driven Graph Embedding-Enhanced Lateral Movement Detection framework(UGEA-LMD).First,the framework employs event-level incremental encoding on a continuous-time graph to capture fine-grained behavioral evolution,enabling newly appearing nodes to retain temporal contextual awareness even in the absence of historical interactions and thereby fundamentally mitigating the cold-start problem.Second,in the embedding space,we model the dependency structure among feature dimensions using a Gaussian copula to quantify the uncertainty distribution,and generate augmented samples with consistent structural and semantic properties through adaptive sampling,thus expanding the representation space of sparse samples and enhancing the model’s generalization under sparse sample conditions.Unlike static graph methods that cannot model temporal dependencies or data augmentation techniques that depend on predefined structures,UGEA-LMD offers both superior temporaldynamic modeling and structural generalization.Experimental results on the large-scale LANL log dataset demonstrate that,under the transductive setting,UGEA-LMD achieves an AUC of 0.9254;even when 10%of nodes or edges are withheld during training,UGEA-LMD significantly outperforms baseline methods on metrics such as recall and AUC,confirming its robustness and generalization capability in sparse-sample and cold-start scenarios.展开更多
The rapid expansion of the Internet of Things(IoT)and Edge Artificial Intelligence(AI)has redefined automation and connectivity acrossmodern networks.However,the heterogeneity and limited resources of IoT devices expo...The rapid expansion of the Internet of Things(IoT)and Edge Artificial Intelligence(AI)has redefined automation and connectivity acrossmodern networks.However,the heterogeneity and limited resources of IoT devices expose them to increasingly sophisticated and persistentmalware attacks.These adaptive and stealthy threats can evade conventional detection,establish remote control,propagate across devices,exfiltrate sensitive data,and compromise network integrity.This study presents a Software-Defined Internet of Things(SD-IoT)control-plane-based,AI-driven framework that integrates Gated Recurrent Units(GRU)and Long Short-TermMemory(LSTM)networks for efficient detection of evolving multi-vector,malware-driven botnet attacks.The proposed CUDA-enabled hybrid deep learning(DL)framework performs centralized real-time detection without adding computational overhead to IoT nodes.A feature selection strategy combining variable clustering,attribute evaluation,one-R attribute evaluation,correlation analysis,and principal component analysis(PCA)enhances detection accuracy and reduces complexity.The framework is rigorously evaluated using the N_BaIoT dataset under k-fold cross-validation.Experimental results achieve 99.96%detection accuracy,a false positive rate(FPR)of 0.0035%,and a detection latency of 0.18 ms,confirming its high efficiency and scalability.The findings demonstrate the framework’s potential as a robust and intelligent security solution for next-generation IoT ecosystems.展开更多
Rare earth-doped inorganic compounds contribute mostly to the family of persistent luminescent materials due to the versatile energy levels of rare earth ions.One of the key research aims is to match the trap level st...Rare earth-doped inorganic compounds contribute mostly to the family of persistent luminescent materials due to the versatile energy levels of rare earth ions.One of the key research aims is to match the trap level stemming from the doped rare earth ion or intrinsic defects to the electronic structure of the host,and therefore thermoluminescence measurement becomes a radical technology in studying trap depth,which is one of the significant parameters that determine the properties of persistent luminescence and photostimulated luminescence.However,the results of trap depth obtained by different thermoluminescence methods are quite different so that they are not comparable.Herein,we analyzed different thermoluminescence methods,selected and improved the traditional peak position method of T_(m)/500 to be E=(-0.94Inβ+30.09)kT_(m).Only the experimental heating rate(β)is needed additionally,but the accuracy is improved greatly in most cases.This convenient and accurate method will accelerate the discovery of novel rare earth-doped materials.展开更多
Persistent toxic substances(PTS)represent a paramount environmental issue in the 21st century.Understanding the concentrations and forms of PTS in the environment is crucial for accurately assessing their environmenta...Persistent toxic substances(PTS)represent a paramount environmental issue in the 21st century.Understanding the concentrations and forms of PTS in the environment is crucial for accurately assessing their environmental health impacts.This article presents a concise overview of the components of PTS,pertinent environmental regulations,and conventional detection methodologies.Additionally,we offer an in-depth review of the principles,development,and practical applications of surface-enhanced Raman scattering(SERS)in environmental monitoring,emphasizing the advancements in detecting trace amounts of PTS in complex environmental matrices.Recent progress in enhancing SERS sensitivity,improving selectivity,and practical implementations are detailed,showcasing innovative materials and methods.Integrating SERS with advanced algorithms are highlighted as pivotal areas for future research.展开更多
Dibromoethane is a widespread,persistent organic pollutant.Biochars are known mediators of reductive dehalogenation by layered Fe^(Ⅱ)-Fe^(Ⅲ)hydroxides(green rust),which can reduce 1,2-dibromoethane to innocuous brom...Dibromoethane is a widespread,persistent organic pollutant.Biochars are known mediators of reductive dehalogenation by layered Fe^(Ⅱ)-Fe^(Ⅲ)hydroxides(green rust),which can reduce 1,2-dibromoethane to innocuous bromide and ethylene.However,the critical characteristics that determine mediator functionality are lesser known.Fifteen biochar substrates were pyrolyzed at 600℃and 800℃,characterized by elemental analysis,X-ray photo spectrometry C and N surface speciation,X-ray powder diffraction,specific surface area analysis,and tested for mediation of reductive debromination of 1,2-dibromoethane by a green rust reductant under anoxic conditions.A statistical analysis was performed to determine the biochar properties,critical for debromination kinetics and total debromination extent.It was shown that selected plant based biochars can mediate debromination of 1,2-dibromoethane,that the highest first order rate constant was 0.082/hr,and the highest debromination extent was 27%in reactivity experiments with 0.1μmol(20μmol/L)1,2-dibromoethane,≈22 mmol/L Fe^(Ⅱ)GR,and 0.12 g/L soybean meal biochar(7 days).Contents of Ni,Zn,N,and P,and the relative contribution of quinone surface functional groups were significantly(p<0.05)positively correlated with 1,2-dibromoethane debromination,while adsorption,specific surface area,and the relative contribution of pyridinic N oxide surface groups were significantly negatively correlated with debromination.展开更多
The successful penetration of government,corporate,and organizational IT systems by state and non-state actors deploying APT vectors continues at an alarming pace.Advanced Persistent Threat(APT)attacks continue to pos...The successful penetration of government,corporate,and organizational IT systems by state and non-state actors deploying APT vectors continues at an alarming pace.Advanced Persistent Threat(APT)attacks continue to pose significant challenges for organizations despite technological advancements in artificial intelligence(AI)-based defense mechanisms.While AI has enhanced organizational capabilities for deterrence,detection,and mitigation of APTs,the global escalation in reported incidents,particularly those successfully penetrating critical government infrastructure has heightened concerns among information technology(IT)security administrators and decision-makers.Literature review has identified the stealthy lateral movement(LM)of malware within the initially infected local area network(LAN)as a significant concern.However,current literature has yet to propose a viable approach for resource-efficient,real-time detection of APT malware lateral movement within the initially compromised LAN following perimeter breach.Researchers have suggested the nature of the dataset,optimal feature selection,and the choice of machine learning(ML)techniques as critical factors for detection.Hence,the objective of the research described here was to successfully demonstrate a simplified lightweight ML method for detecting the LM of APT vectors.While the nearest detection rate achieved in the LM domain within LAN was 99.89%,as reported in relevant studies,our approach surpassed it,with a detection rate of 99.95%for the modified random forest(RF)classifier for dataset 1.Additionally,our approach achieved a perfect 100%detection rate for the decision tree(DT)and RF classifiers with dataset 2,a milestone not previously reached in studies within this domain involving two distinct datasets.Using the ML life cycle methodology,we deployed K-nearest neighbor(KNN),support vector machine(SVM),DT,and RF on three relevant datasets to detect the LM of APTs at the affected LAN prior to data exfiltration/destruction.Feature engineering presented four critical APT LM intrusion detection(ID)indicators(features)across the three datasets,namely,the source port number,the destination port number,the packets,and the bytes.This study demonstrates the effectiveness of lightweight ML classifiers in detecting APT lateral movement after network perimeter breach.It contributes to the field by proposing a non-intrusive network detection method capable of identifying APT malware before data exfiltration,thus providing an additional layer of organizational defense.展开更多
A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,t...A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,the aging rates between two age groups are set to be constant.The existence-and-uniqueness of global positive solution is firstly showed.Then,by constructing several appropriate Lyapunov functions and using the high-dimensional Itô’s formula,the sufficient conditions for the stochastic extinction and stochastic persistence of the exposed individuals and the infected individuals are obtained.The stochastic extinction indicator and the stochastic persistence indicator are less-valued expressions compared with the basic reproduction number.Meanwhile,the main results of this study are modified into multi-age groups.Furthermore,by using the surveillance data for Fujian Provincial Center for Disease Control and Prevention,Fuzhou COVID-19 epidemic is chosen to carry out the numerical simulations,which show that the age group of the population plays the vital role when studying infectious diseases.展开更多
BACKGROUND Hypernatremia represents a significant electrolyte imbalance associated with numerous adverse outcomes,particularly in cases of intensive care unit(ICU)-acquired hypernatremia(IAH).Nevertheless,its relevanc...BACKGROUND Hypernatremia represents a significant electrolyte imbalance associated with numerous adverse outcomes,particularly in cases of intensive care unit(ICU)-acquired hypernatremia(IAH).Nevertheless,its relevance in patients with septic shock remains uncertain.AIM To identify independent risk factors and their predictive efficacy for IAH to improve outcomes in patients with septic shock.METHODS In the present retrospective single-center study,a cohort of 157 septic shock patients with concurrent hypernatremia in the ICU at The First Affiliated Hospital of Soochow University,between August 1,2018,and May 31,2023,were analyzed.Patients were categorized based on the timing of hypernatremia occurrence into the IAH group(n=62),the non-IAH group(n=41),and the normonatremia group(n=54).RESULTS In the present study,there was a significant association between the high serum sodium concentrations,excessive persistent inflammation,immunosuppression and catabolism syndrome and chronic critical illness,while rapid recovery had an apparent association with normonatremia.Moreover,multivariable analyses revealed the following independent risk factors for IAH:Total urinary output over the preceding three days[odds ratio(OR)=1.09;95%CI:1.02–1.17;P=0.014],enteral nutrition(EN)sodium content of 500 mg(OR=2.93;95%CI:1.13–7.60;P=0.027),and EN sodium content of 670 mg(OR=6.19;95%CI:1.75–21.98;P=0.005)were positively correlated with the development of IAH.Notably,the area under the curve for total urinary output over the preceding three days was 0.800(95%CI:0.678–0.922,P=0.001).Furthermore,maximum serum sodium levels,the duration of hypernatremia,and varying sodium correction rates were significantly associated with 28-day in-hospital mortality in septic shock patients(P<0.05).CONCLUSION The present findings illustrate that elevated serum sodium level was significantly associated with a poor prognosis in septic shock patients in the ICU.It is highly recommended that hypernatremia be considered a potentially important prognostic indicator for the outcome of septic shock.展开更多
Y_(3)Al_(2)Ga_(3)O_(12):Ce^(3+),Cr^(3+)(YAGG:Ce^(3+),Cr^(3+)),as a persistent luminescent material,has advantages of high initial luminescence intensity and long persistent time,which is promising in persistent lumine...Y_(3)Al_(2)Ga_(3)O_(12):Ce^(3+),Cr^(3+)(YAGG:Ce^(3+),Cr^(3+)),as a persistent luminescent material,has advantages of high initial luminescence intensity and long persistent time,which is promising in persistent luminescent material applications.At present,YAGG:Ce^(3+),Cr^(3+)powders exhibit good persistent performance,but their persistent performance of ceramics still needs to be further improved to meet the new requirements.In this work,(Y_(0.998)Ce_(0.002))_(3)(Al_(1-x)Cr_(x))_(2)Ga_(3)O_(12) ceramics with different Cr^(3+)doping concentrations were prepared by solid-state reaction,including air pre-sintering,hot isostatic pressing(HIP)post-treatment and air annealing,to investigate the effects of Cr^(3+)doping concentration on the microstructure,optical properties and persistent performance of the ceramics.The results showed that as the doping concentration of Cr^(3+)increased from 0.025%to 0.2%(in atom),no significant effect of Cr^(3+)concentration on the morphology of pre-sintered ceramics or HIP post-treatment ceramics was observed,but the in-line transmittance gradually increased while the persistent performance gradually decreased.Among them,YAGG:Ce^(3+),Cr^(3+)ceramics doped with 0.025%Cr^(3+)showed the strongest initial luminescence intensity exceeding 6055 mcd/m^(2) and a persistent time of 1030 min after air pre-sintering combined with HIP post-treatment and air annealing.By optimizing the Cr^(3+)doping concentration and the fabrication process,the persistent luminescence(PersL)performance of the YAGG:Ce^(3+),Cr^(3+)ceramics was obviously improved.展开更多
Persistent luminescence is a unique optical phenomenon that continues to emit light for minutes or even hours after the excitation stops,which can significantly enhance the sensitivity and signal-to-noise ratio of ima...Persistent luminescence is a unique optical phenomenon that continues to emit light for minutes or even hours after the excitation stops,which can significantly enhance the sensitivity and signal-to-noise ratio of imaging[1].Among numerous persistent luminescence materials,lanthanide-doped fluoride nanoparticles have shown tunable persistent luminescence across the UV-vis-NIR spectrum(200-1700 nm)under X-ray excitation and adjustable size,promising significant applications in deep-tissue imaging[2,3],security encryption,and data storage[4].In particular,those exhibiting NIR-II luminescence(1000-1700 nm)provide key advantages such as deeper tissue penetration,higher contrast,and minimal interference from biological autofluorescence.However,challenges such as low brightness and rapid signal decay,especially in the NIR-II region,limit their effectiveness in long-term monitoring,including tumor theranostics[5].Traditional approaches like size control and surface passivation yield only marginal improvements,underscoring the need for next-generation nanoparticles with superior NIR-II brightness.展开更多
In this work,we studied the persistent photoconductivity(PPC)spectra in single HgTe/CdHgTe quantum wells with different growth parameters and different types of dark conductivity.The studies were performed in a wide r...In this work,we studied the persistent photoconductivity(PPC)spectra in single HgTe/CdHgTe quantum wells with different growth parameters and different types of dark conductivity.The studies were performed in a wide radiation quantum energy range of 0.62–3.1 eV both at T=4.2 K and at T=77 K.Common features of the PPC spectra for all structures were revealed,and their relation to the presence of a CdTe cap layer in all structures and the appropriate cadmium fraction in the CdHgTe barrier layers was shown.One of the features was associated with the presence of a deep level in the CdTe layer.In addition,the oscillatory behavior of the PPC spectra in the region from 0.8–1.1 eV to 1.2–1.5 eV was observed.It is associated with the cascade emission of longitudinal optical phonons in CdHgTe barrier.展开更多
BACKGROUND Postpartum depression(PPD)represents a significant public health concern,adversely affecting both new mothers and their infants.Despite routine early screening,PPD can persist beyond the initial postpartum ...BACKGROUND Postpartum depression(PPD)represents a significant public health concern,adversely affecting both new mothers and their infants.Despite routine early screening,PPD can persist beyond the initial postpartum months,with notably high incidence rates even one year after childbirth.Persistent PPD has been associated with poor developmental outcomes in infants,highlighting the need for continued monitoring and support during this critical period.Understanding the broader impacts of persistent PPD is essential for developing effective interventions to improve maternal and infant well-being.AIM To explore the impact of persistent PPD on infant developmental behavior and maternal self-efficacy.METHODS We recruited 60 postpartum women who experienced persistent depression after childbirth in our hospital from January 2020 to December 2024 as the research subjects.The study collected basic characteristics of both infants and mothers,analyzed the self-efficacy of the mothers and the developmental behaviors of the infants,and conducted a correlation analysis to examine the relationship between postpartum persistent depression in mothers and the developmental behaviors and self-efficacy of infants.The Bootstrap method was used to verify the significance of the mediating effect.RESULTS The basic characteristics of infants and mothers show that 53.33%are male,58.33%are born via vaginal delivery,88.33%have a normal body mass index,51.67%are aged between 25 and 29 years,70%are non-agricultural workers,51.67%have a per capita household income over 4000 yuan,96.67%are full-term births,and 58.33%of the fathers are aged between 26 and 32 years.In terms of infant development behavior,the gross motor skills score is relatively low(38.44±12.15).Regarding maternal self-efficacy,the skill score(45.68±5.49)and mental activity score(46.37±3.72)are both at a low level.Correlation analysis reveals that postpartum persistent depression is significantly negatively correlated with maternal self-efficacy and infant development behavior(β=-0.439,-0.657,P<0.001),while self-efficacy is positively correlated with infant development behavior(β=0.728,P<0.001).The path coefficient and Bootstrap method test indicate that self-efficacy acts as a mediator between postpartum persistent depression and infant development behavior,accounting for 54.80%of the effect(P<0.05),while the direct effect of postpartum persistent depression on infant development behavior is 45.20%(P<0.05).CONCLUSION Persistent PPD significantly negatively impacts infant developmental outcomes,with maternal self-efficacy serving as a partial mediator.These findings suggest that interventions targeting both depressive symptoms and selfenhancement may effectively promote infant health development.展开更多
Persistent left superior vena cava(PLSVC)is a congenital anomaly where the left-sided vena cava,which usually regresses during fetal development,persists.Double superior vena cava resulting from a PLSVC is indeed a ra...Persistent left superior vena cava(PLSVC)is a congenital anomaly where the left-sided vena cava,which usually regresses during fetal development,persists.Double superior vena cava resulting from a PLSVC is indeed a rare phenomenon.In the general population,the incidence of this condition is reported to be between 0.3%and 2.1%.[1]While this anatomical variation is often asymptomatic and discovered incidentally,it becomes relevant in certain clinical scenarios.Indeed,the presence of a PLSVC and double superior vena cava can pose challenges as incorrect positioning and result in failure.展开更多
The effectiveness of fluopyram suspension concentrate against pine wilt disease(PWD)is limited by spraying efficiency and water dependence.A traditional dust formulation with strong dispersibility can overcome these s...The effectiveness of fluopyram suspension concentrate against pine wilt disease(PWD)is limited by spraying efficiency and water dependence.A traditional dust formulation with strong dispersibility can overcome these shortcomings.However,its efficacy against PWD remains uncertain.This study evaluated the translocation of fluopyram dust within tree tissues,soil and water degradation,and its effective control against PWD.Nursery tests showed effective prevention;field tests showed dust absorption and translocation into pine tissues.Thirty days following application,residual concentrations in soil were low at 0.09 mg kg^(−1);no detectable residues were found in water samples.Three years after applying fluopyram,its effectiveness increased to approximately 87%.Based on this study,fluopyram had a half-life of 346 d with persistence lasting up to three years.This provides valuable insight for managing PWD through dust applications.展开更多
文摘Persistency of earnings is an important measure of eamings quality. It is generally accepted that the more the persistency is, the higher the quality of earnings is. We analyze the characteristic factors influencing earnings persistency, use data of A-share listed companies during 1998-2004, and find that earnings persistency is significantly related to the nature of earnings, the cash content of earnings and the quality of accruals.
基金supported by the National Natural Science Foundation of China(Grant No.32271554)the Guangdong Basic and Applied Basic Research Foundation(Grant No.2023A1515011501)。
文摘Predator–prey interactions are fundamental to understanding ecosystem stability and biodiversity.In this study,we propose and analyze a stochastic predator–prey model that incorporates two critical ecological factors:prey refuge and harvesting.The model also integrates disease transmission within the predator population,adding an important layer of realism.Using rigorous mathematical techniques,we demonstrate the existence and uniqueness of a global positive solution,thereby confirming the model's biological feasibility.We further derive sufficient conditions for two key ecological scenarios:stochastic permanence,which ensures the sustained co-existence of prey and predators over time,and extinction,where one or both populations decline to zero.The interplay between prey refuge and harvesting is thoroughly examined to understand their combined impact on population dynamics.All theoretical results are validated by detailed numerical simulations,highlighting the applicability of the model to real-world ecological systems.From the simulation results,we observed that with an adequate level of prey refuge and predator harvesting,the susceptible predator and prey coexist with extensive oscillations,while the infected predator population was moving towards extinction.In addition,we have investigated the effect of disease transmission on system dynamics.Our results show that,as the transmission rate of disease increases,the susceptible predator approaches extinction,whereas,on the other hand,when it declines,the susceptible predator shows robust oscillations while the infected approaches extinction.In both cases,the prey population demonstrates robust stability due to the prey refuge.Our findings show that the management of harvesting and the prey refuge can be effective ecological tactics for disease control and species protection under stochastic environmental effects.
基金Supported by the National Natural Science Foundation of China(No.82070942,No.81970780,No.81770907,No.81670835).
文摘AIM:To characterize the distribution of persistent fetal vasculature(PFV)subtypes and to evaluate corneal astigmatism(CA)in children with unilateral PFV.METHODS:The medical records of patients diagnosed with PFV between January 2014 and August 2021 were retrospectively reviewed.Corneal keratometry parameters were measured using IOLMaster or a handheld keratometer.Differences in CA between the affected and fellow eyes were analyzed in 52 unilateral PFV patients with available examination data.RESULTS:Totally 133 patients diagnosed with PFV were retrospectively reviewed.The male-to-female ratio was 73/60.Median age at surgery was 38.03mo(interquartile range 58.27mo).Among the PFV patients,32(24.06%)had anterior PFV,2(1.50%)had posterior PFV,and 99(74.44%)had combined anterior-posterior PFV.Mild combined PFV was the most common subtype.In unilateral PFV cases,the mean CA in the affected eye was 2.29±1.11 D,and 59.62%(31 eyes)had CA≥2.0 D.The mean CA in the affected eyes was significantly higher than in the fellow eyes(1.37±0.77 D;P<0.001).Among PFV-affected eyes with CA≥2.0 D,the steepest corneal meridian was vertically oriented in 30 cases(96.77%),while only 1 case(3.23%)had the steepest meridian oriented horizontally.CONCLUSION:In children with unilateral PFV,CA is significantly higher in the affected eyes than in the fellow eyes,and the steepest corneal meridian was predominantly oriented vertically.
基金Institute for Basic Science(IBS)Center for Cognition and Sociality(IBS-R001-D2 to BL).
文摘Neuropathic pain is a complex and debilitating condition caused by lesions or dysfunction within the somatosensory nervous system.Affecting an estimated 7%-10%of the global population,it presents with spontaneous pain,hyperalgesia,and allodynia,often accompanied by long-term emotional and cognitive consequences,such as depression and anxiety,which result in a reduced quality of life.Despite extensive research efforts,effective treatments remain limited.This limited efficacy likely stems,in part,from the heterogeneous nature of neuropathic pain,which varies widely across individuals in both clinical presentation and treatment responsiveness.
文摘Rice cultivation,vital to global food security and the United Nations Sustainable Development Goals(SDGs),faces increasing threats from industrial pollution,which contaminates soil and water,endangers human health,and weakens agricultural resilience.Studies indicate that contaminants such as persistent organic pollutants,radioactive elements,dyes,and potentially toxic elements,particularly from mining and industrial activities,significantly degrade soil fertility,impair plant health,and introduce harmful residues into the food chain.This contamination compromises food safety and diminishes agricultural productivity,posing a serious challenge to sustainability.Addressing these impacts requires sustainable industrial practices,advanced technologies,and eco-friendly remediation techniques.Solutions like biochar applications,precision farming,and artificial intelligence(AI)-driven pollution detection provide effective measures for restoring soil health,protecting crop integrity,and ensuring the resilience of rice farming.These approaches align rice cultivation with global sustainability goals by integrating sustainable soil and water management,adaptive crop selection,and AI innovations.Protecting rice cultivation upholds farmer livelihoods and strengthens global commitments to SDGs Zero Hunger and a resilient,safe food supply,underscoring the essential balance between industrial progress and sustainable rice cultivation.
基金funded by the Science and Technology Development Fund of Macao Special Administrative Region(Grant No.0009/2024/RIB1)the Guangdong Major Project of Basic and Applied Basic Research(Grant No.2020B0301030004).
文摘Persistent severe rainfall(PSR)events,defined as regional-scale rainfall processes with daily precipitation no less than 50 mm for at least three consecutive days,frequently occur over South China(SC)and the middle-to-lower Yangtze River Basin(MLYRB),with distinct dynamic mechanisms and moisture conditions in the two regions.Based on daily precipitation observations from China’s national meteorological stations and ERA5 reanalysis during 2012-21,this study investigates the spatiotemporal distribution of PSR events in SC and MLYRB and their associated three-dimensional circulation dynamics.The analysis integrates diagnostics of 200 hPa wave activity flux,perturbation streamfunction,500 hPa geopotential height,850 hPa wind fields,and integrated water vapor transport.Results show that PSR events in SC mainly occur during May-June,with rainfall centers over coastal and central Guangdong and Guangxi.In contrast,MLYRB events peak during June-July,with a banded rainfall pattern along the middle-to-lower Yangtze River.Dynamical diagnostics indicate that,in SC,sustained northwest-southeast propagation of 200 hPa disturbances,the southward shift of the 500 hPa trough,and steady subtropical high maintenance provide continuous dynamical support.Concurrently,strong and persistent 850 hPa southwesterlies and long-lasting moisture transport form favorable moisture conditions.In contrast,MLYRB events are marked by rapid phase transitions of 200 hPa streamfunction anomalies and northward-westward expansion of the 500 hPa subtropical high,triggering intense rainfall development.Simultaneously,abrupt enhancement of 850 hPa southwesterlies and rapid formation of a southwest moisture corridor ensure abundant and timely moisture supply,facilitating PSR onset.
基金supported by the Zhongyuan University of Technology Discipline Backbone Teacher Support Program Project(No.GG202417)the Key Research and Development Program of Henan under Grant 251111212000.
文摘Lateral movement represents the most covert and critical phase of Advanced Persistent Threats(APTs),and its detection still faces two primary challenges:sample scarcity and“cold start”of new entities.To address these challenges,we propose an Uncertainty-Driven Graph Embedding-Enhanced Lateral Movement Detection framework(UGEA-LMD).First,the framework employs event-level incremental encoding on a continuous-time graph to capture fine-grained behavioral evolution,enabling newly appearing nodes to retain temporal contextual awareness even in the absence of historical interactions and thereby fundamentally mitigating the cold-start problem.Second,in the embedding space,we model the dependency structure among feature dimensions using a Gaussian copula to quantify the uncertainty distribution,and generate augmented samples with consistent structural and semantic properties through adaptive sampling,thus expanding the representation space of sparse samples and enhancing the model’s generalization under sparse sample conditions.Unlike static graph methods that cannot model temporal dependencies or data augmentation techniques that depend on predefined structures,UGEA-LMD offers both superior temporaldynamic modeling and structural generalization.Experimental results on the large-scale LANL log dataset demonstrate that,under the transductive setting,UGEA-LMD achieves an AUC of 0.9254;even when 10%of nodes or edges are withheld during training,UGEA-LMD significantly outperforms baseline methods on metrics such as recall and AUC,confirming its robustness and generalization capability in sparse-sample and cold-start scenarios.
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting ProjectNumber(PNURSP2025R97),PrincessNourah bint AbdulrahmanUniversity,Riyadh,Saudi Arabia.
文摘The rapid expansion of the Internet of Things(IoT)and Edge Artificial Intelligence(AI)has redefined automation and connectivity acrossmodern networks.However,the heterogeneity and limited resources of IoT devices expose them to increasingly sophisticated and persistentmalware attacks.These adaptive and stealthy threats can evade conventional detection,establish remote control,propagate across devices,exfiltrate sensitive data,and compromise network integrity.This study presents a Software-Defined Internet of Things(SD-IoT)control-plane-based,AI-driven framework that integrates Gated Recurrent Units(GRU)and Long Short-TermMemory(LSTM)networks for efficient detection of evolving multi-vector,malware-driven botnet attacks.The proposed CUDA-enabled hybrid deep learning(DL)framework performs centralized real-time detection without adding computational overhead to IoT nodes.A feature selection strategy combining variable clustering,attribute evaluation,one-R attribute evaluation,correlation analysis,and principal component analysis(PCA)enhances detection accuracy and reduces complexity.The framework is rigorously evaluated using the N_BaIoT dataset under k-fold cross-validation.Experimental results achieve 99.96%detection accuracy,a false positive rate(FPR)of 0.0035%,and a detection latency of 0.18 ms,confirming its high efficiency and scalability.The findings demonstrate the framework’s potential as a robust and intelligent security solution for next-generation IoT ecosystems.
基金Project supported by the National Natural Science Foundation of China(52372134,12274023)the Fundamental Re search Funds for the Central Universities(FRF-EYIT-23-04)。
文摘Rare earth-doped inorganic compounds contribute mostly to the family of persistent luminescent materials due to the versatile energy levels of rare earth ions.One of the key research aims is to match the trap level stemming from the doped rare earth ion or intrinsic defects to the electronic structure of the host,and therefore thermoluminescence measurement becomes a radical technology in studying trap depth,which is one of the significant parameters that determine the properties of persistent luminescence and photostimulated luminescence.However,the results of trap depth obtained by different thermoluminescence methods are quite different so that they are not comparable.Herein,we analyzed different thermoluminescence methods,selected and improved the traditional peak position method of T_(m)/500 to be E=(-0.94Inβ+30.09)kT_(m).Only the experimental heating rate(β)is needed additionally,but the accuracy is improved greatly in most cases.This convenient and accurate method will accelerate the discovery of novel rare earth-doped materials.
基金supported by the National Natural Science Foundation of China(Nos.42077299,and U21A20290)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDB0750400)the Ordos Key Research and Development Program(No.YF20240037).
文摘Persistent toxic substances(PTS)represent a paramount environmental issue in the 21st century.Understanding the concentrations and forms of PTS in the environment is crucial for accurately assessing their environmental health impacts.This article presents a concise overview of the components of PTS,pertinent environmental regulations,and conventional detection methodologies.Additionally,we offer an in-depth review of the principles,development,and practical applications of surface-enhanced Raman scattering(SERS)in environmental monitoring,emphasizing the advancements in detecting trace amounts of PTS in complex environmental matrices.Recent progress in enhancing SERS sensitivity,improving selectivity,and practical implementations are detailed,showcasing innovative materials and methods.Integrating SERS with advanced algorithms are highlighted as pivotal areas for future research.
文摘Dibromoethane is a widespread,persistent organic pollutant.Biochars are known mediators of reductive dehalogenation by layered Fe^(Ⅱ)-Fe^(Ⅲ)hydroxides(green rust),which can reduce 1,2-dibromoethane to innocuous bromide and ethylene.However,the critical characteristics that determine mediator functionality are lesser known.Fifteen biochar substrates were pyrolyzed at 600℃and 800℃,characterized by elemental analysis,X-ray photo spectrometry C and N surface speciation,X-ray powder diffraction,specific surface area analysis,and tested for mediation of reductive debromination of 1,2-dibromoethane by a green rust reductant under anoxic conditions.A statistical analysis was performed to determine the biochar properties,critical for debromination kinetics and total debromination extent.It was shown that selected plant based biochars can mediate debromination of 1,2-dibromoethane,that the highest first order rate constant was 0.082/hr,and the highest debromination extent was 27%in reactivity experiments with 0.1μmol(20μmol/L)1,2-dibromoethane,≈22 mmol/L Fe^(Ⅱ)GR,and 0.12 g/L soybean meal biochar(7 days).Contents of Ni,Zn,N,and P,and the relative contribution of quinone surface functional groups were significantly(p<0.05)positively correlated with 1,2-dibromoethane debromination,while adsorption,specific surface area,and the relative contribution of pyridinic N oxide surface groups were significantly negatively correlated with debromination.
基金Rabdan Academy for funding the research presented in the paper.
文摘The successful penetration of government,corporate,and organizational IT systems by state and non-state actors deploying APT vectors continues at an alarming pace.Advanced Persistent Threat(APT)attacks continue to pose significant challenges for organizations despite technological advancements in artificial intelligence(AI)-based defense mechanisms.While AI has enhanced organizational capabilities for deterrence,detection,and mitigation of APTs,the global escalation in reported incidents,particularly those successfully penetrating critical government infrastructure has heightened concerns among information technology(IT)security administrators and decision-makers.Literature review has identified the stealthy lateral movement(LM)of malware within the initially infected local area network(LAN)as a significant concern.However,current literature has yet to propose a viable approach for resource-efficient,real-time detection of APT malware lateral movement within the initially compromised LAN following perimeter breach.Researchers have suggested the nature of the dataset,optimal feature selection,and the choice of machine learning(ML)techniques as critical factors for detection.Hence,the objective of the research described here was to successfully demonstrate a simplified lightweight ML method for detecting the LM of APT vectors.While the nearest detection rate achieved in the LM domain within LAN was 99.89%,as reported in relevant studies,our approach surpassed it,with a detection rate of 99.95%for the modified random forest(RF)classifier for dataset 1.Additionally,our approach achieved a perfect 100%detection rate for the decision tree(DT)and RF classifiers with dataset 2,a milestone not previously reached in studies within this domain involving two distinct datasets.Using the ML life cycle methodology,we deployed K-nearest neighbor(KNN),support vector machine(SVM),DT,and RF on three relevant datasets to detect the LM of APTs at the affected LAN prior to data exfiltration/destruction.Feature engineering presented four critical APT LM intrusion detection(ID)indicators(features)across the three datasets,namely,the source port number,the destination port number,the packets,and the bytes.This study demonstrates the effectiveness of lightweight ML classifiers in detecting APT lateral movement after network perimeter breach.It contributes to the field by proposing a non-intrusive network detection method capable of identifying APT malware before data exfiltration,thus providing an additional layer of organizational defense.
基金Supported by National Natural Science Foundation of China(61911530398,12231012)Consultancy Project by the Chinese Academy of Engineering(2022-JB-06,2023-JB-12)+3 种基金the Natural Science Foundation of Fujian Province of China(2021J01621)Special Projects of the Central Government Guiding Local Science and Technology Development(2021L3018)Royal Society of Edinburgh(RSE1832)Engineering and Physical Sciences Research Council(EP/W522521/1).
文摘A stochastic epidemic model with two age groups is established in this study,in which the susceptible(S),the exposed(E),the infected(I),the hospitalized(H)and the recovered(R)are involved within the total population,the aging rates between two age groups are set to be constant.The existence-and-uniqueness of global positive solution is firstly showed.Then,by constructing several appropriate Lyapunov functions and using the high-dimensional Itô’s formula,the sufficient conditions for the stochastic extinction and stochastic persistence of the exposed individuals and the infected individuals are obtained.The stochastic extinction indicator and the stochastic persistence indicator are less-valued expressions compared with the basic reproduction number.Meanwhile,the main results of this study are modified into multi-age groups.Furthermore,by using the surveillance data for Fujian Provincial Center for Disease Control and Prevention,Fuzhou COVID-19 epidemic is chosen to carry out the numerical simulations,which show that the age group of the population plays the vital role when studying infectious diseases.
基金Supported by The National Natural Science Foundation of China,No.82072130Key Medical Research Projects in Jiangsu Province,No.ZD2022021Suzhou Clinical Medical Center for Anesthesiology,No.Szlcyxzxj202102。
文摘BACKGROUND Hypernatremia represents a significant electrolyte imbalance associated with numerous adverse outcomes,particularly in cases of intensive care unit(ICU)-acquired hypernatremia(IAH).Nevertheless,its relevance in patients with septic shock remains uncertain.AIM To identify independent risk factors and their predictive efficacy for IAH to improve outcomes in patients with septic shock.METHODS In the present retrospective single-center study,a cohort of 157 septic shock patients with concurrent hypernatremia in the ICU at The First Affiliated Hospital of Soochow University,between August 1,2018,and May 31,2023,were analyzed.Patients were categorized based on the timing of hypernatremia occurrence into the IAH group(n=62),the non-IAH group(n=41),and the normonatremia group(n=54).RESULTS In the present study,there was a significant association between the high serum sodium concentrations,excessive persistent inflammation,immunosuppression and catabolism syndrome and chronic critical illness,while rapid recovery had an apparent association with normonatremia.Moreover,multivariable analyses revealed the following independent risk factors for IAH:Total urinary output over the preceding three days[odds ratio(OR)=1.09;95%CI:1.02–1.17;P=0.014],enteral nutrition(EN)sodium content of 500 mg(OR=2.93;95%CI:1.13–7.60;P=0.027),and EN sodium content of 670 mg(OR=6.19;95%CI:1.75–21.98;P=0.005)were positively correlated with the development of IAH.Notably,the area under the curve for total urinary output over the preceding three days was 0.800(95%CI:0.678–0.922,P=0.001).Furthermore,maximum serum sodium levels,the duration of hypernatremia,and varying sodium correction rates were significantly associated with 28-day in-hospital mortality in septic shock patients(P<0.05).CONCLUSION The present findings illustrate that elevated serum sodium level was significantly associated with a poor prognosis in septic shock patients in the ICU.It is highly recommended that hypernatremia be considered a potentially important prognostic indicator for the outcome of septic shock.
基金National Key R&D Program of China(2023YFB3506600)。
文摘Y_(3)Al_(2)Ga_(3)O_(12):Ce^(3+),Cr^(3+)(YAGG:Ce^(3+),Cr^(3+)),as a persistent luminescent material,has advantages of high initial luminescence intensity and long persistent time,which is promising in persistent luminescent material applications.At present,YAGG:Ce^(3+),Cr^(3+)powders exhibit good persistent performance,but their persistent performance of ceramics still needs to be further improved to meet the new requirements.In this work,(Y_(0.998)Ce_(0.002))_(3)(Al_(1-x)Cr_(x))_(2)Ga_(3)O_(12) ceramics with different Cr^(3+)doping concentrations were prepared by solid-state reaction,including air pre-sintering,hot isostatic pressing(HIP)post-treatment and air annealing,to investigate the effects of Cr^(3+)doping concentration on the microstructure,optical properties and persistent performance of the ceramics.The results showed that as the doping concentration of Cr^(3+)increased from 0.025%to 0.2%(in atom),no significant effect of Cr^(3+)concentration on the morphology of pre-sintered ceramics or HIP post-treatment ceramics was observed,but the in-line transmittance gradually increased while the persistent performance gradually decreased.Among them,YAGG:Ce^(3+),Cr^(3+)ceramics doped with 0.025%Cr^(3+)showed the strongest initial luminescence intensity exceeding 6055 mcd/m^(2) and a persistent time of 1030 min after air pre-sintering combined with HIP post-treatment and air annealing.By optimizing the Cr^(3+)doping concentration and the fabrication process,the persistent luminescence(PersL)performance of the YAGG:Ce^(3+),Cr^(3+)ceramics was obviously improved.
基金supported by the Major Research Plan of the National Natural Science Foundation of China(No.92361202)National Natural Science Foundation of China(No.12204481).
文摘Persistent luminescence is a unique optical phenomenon that continues to emit light for minutes or even hours after the excitation stops,which can significantly enhance the sensitivity and signal-to-noise ratio of imaging[1].Among numerous persistent luminescence materials,lanthanide-doped fluoride nanoparticles have shown tunable persistent luminescence across the UV-vis-NIR spectrum(200-1700 nm)under X-ray excitation and adjustable size,promising significant applications in deep-tissue imaging[2,3],security encryption,and data storage[4].In particular,those exhibiting NIR-II luminescence(1000-1700 nm)provide key advantages such as deeper tissue penetration,higher contrast,and minimal interference from biological autofluorescence.However,challenges such as low brightness and rapid signal decay,especially in the NIR-II region,limit their effectiveness in long-term monitoring,including tumor theranostics[5].Traditional approaches like size control and surface passivation yield only marginal improvements,underscoring the need for next-generation nanoparticles with superior NIR-II brightness.
基金supported by the Russian Science Foundation (Grant No. 22-12-00298)supported by the Center of Excellence "Center of Photonics" funded by the Ministry of Science and Higher Education of the Russian Federation, Contract #075-15-2022-316the Theoretical Physics and Mathematics Advancement Foundation "BASIS" scholarship for the support.
文摘In this work,we studied the persistent photoconductivity(PPC)spectra in single HgTe/CdHgTe quantum wells with different growth parameters and different types of dark conductivity.The studies were performed in a wide radiation quantum energy range of 0.62–3.1 eV both at T=4.2 K and at T=77 K.Common features of the PPC spectra for all structures were revealed,and their relation to the presence of a CdTe cap layer in all structures and the appropriate cadmium fraction in the CdHgTe barrier layers was shown.One of the features was associated with the presence of a deep level in the CdTe layer.In addition,the oscillatory behavior of the PPC spectra in the region from 0.8–1.1 eV to 1.2–1.5 eV was observed.It is associated with the cascade emission of longitudinal optical phonons in CdHgTe barrier.
基金Supported by the Key Medical Research Project of Hebei Province in 2020,No.20201360.
文摘BACKGROUND Postpartum depression(PPD)represents a significant public health concern,adversely affecting both new mothers and their infants.Despite routine early screening,PPD can persist beyond the initial postpartum months,with notably high incidence rates even one year after childbirth.Persistent PPD has been associated with poor developmental outcomes in infants,highlighting the need for continued monitoring and support during this critical period.Understanding the broader impacts of persistent PPD is essential for developing effective interventions to improve maternal and infant well-being.AIM To explore the impact of persistent PPD on infant developmental behavior and maternal self-efficacy.METHODS We recruited 60 postpartum women who experienced persistent depression after childbirth in our hospital from January 2020 to December 2024 as the research subjects.The study collected basic characteristics of both infants and mothers,analyzed the self-efficacy of the mothers and the developmental behaviors of the infants,and conducted a correlation analysis to examine the relationship between postpartum persistent depression in mothers and the developmental behaviors and self-efficacy of infants.The Bootstrap method was used to verify the significance of the mediating effect.RESULTS The basic characteristics of infants and mothers show that 53.33%are male,58.33%are born via vaginal delivery,88.33%have a normal body mass index,51.67%are aged between 25 and 29 years,70%are non-agricultural workers,51.67%have a per capita household income over 4000 yuan,96.67%are full-term births,and 58.33%of the fathers are aged between 26 and 32 years.In terms of infant development behavior,the gross motor skills score is relatively low(38.44±12.15).Regarding maternal self-efficacy,the skill score(45.68±5.49)and mental activity score(46.37±3.72)are both at a low level.Correlation analysis reveals that postpartum persistent depression is significantly negatively correlated with maternal self-efficacy and infant development behavior(β=-0.439,-0.657,P<0.001),while self-efficacy is positively correlated with infant development behavior(β=0.728,P<0.001).The path coefficient and Bootstrap method test indicate that self-efficacy acts as a mediator between postpartum persistent depression and infant development behavior,accounting for 54.80%of the effect(P<0.05),while the direct effect of postpartum persistent depression on infant development behavior is 45.20%(P<0.05).CONCLUSION Persistent PPD significantly negatively impacts infant developmental outcomes,with maternal self-efficacy serving as a partial mediator.These findings suggest that interventions targeting both depressive symptoms and selfenhancement may effectively promote infant health development.
文摘Persistent left superior vena cava(PLSVC)is a congenital anomaly where the left-sided vena cava,which usually regresses during fetal development,persists.Double superior vena cava resulting from a PLSVC is indeed a rare phenomenon.In the general population,the incidence of this condition is reported to be between 0.3%and 2.1%.[1]While this anatomical variation is often asymptomatic and discovered incidentally,it becomes relevant in certain clinical scenarios.Indeed,the presence of a PLSVC and double superior vena cava can pose challenges as incorrect positioning and result in failure.
基金supported by grants from the National Key R&D Program of China(grant number 2021YFD1400900)the National Natural Science Foundation of China(grant numbers U1905201,32171805)+6 种基金the Forestry Key Program of Science and Technology in Fujian Province(grant number 2021FKJ03)the Natural Science Foundation of Fujian Province,China(grant number 2021J01056)the Forestry Programs of Science and Technology in Fujian Province[grant number Mincaizhi(2020)601]the Science and Technology Program of Fujian Province(grant number 2018N5002)the Forestry Science Research Project of Fujian Forestry Department[grant number Minlinke(2017)03]the National Major Emergency Science and Technology Program of China(grant number ZD202001)the Forestry Peak Discipline Construction Project of Fujian Agriculture and Forestry University(grant numbers 72202200205,71201800720).
文摘The effectiveness of fluopyram suspension concentrate against pine wilt disease(PWD)is limited by spraying efficiency and water dependence.A traditional dust formulation with strong dispersibility can overcome these shortcomings.However,its efficacy against PWD remains uncertain.This study evaluated the translocation of fluopyram dust within tree tissues,soil and water degradation,and its effective control against PWD.Nursery tests showed effective prevention;field tests showed dust absorption and translocation into pine tissues.Thirty days following application,residual concentrations in soil were low at 0.09 mg kg^(−1);no detectable residues were found in water samples.Three years after applying fluopyram,its effectiveness increased to approximately 87%.Based on this study,fluopyram had a half-life of 346 d with persistence lasting up to three years.This provides valuable insight for managing PWD through dust applications.
