The mature central nervous system(CNS,composed of the brain,spinal cord,olfactory and optic nerves)is unable to regenerate spontaneously after an insult,both in the cases of neurodegenerative diseases(for example Alzh...The mature central nervous system(CNS,composed of the brain,spinal cord,olfactory and optic nerves)is unable to regenerate spontaneously after an insult,both in the cases of neurodegenerative diseases(for example Alzheimer's or Parkinson's disease)or traumatic injuries(such as spinal cord lesions).In the last 20 years,the field has made significant progress in unlocking axon regrowth.展开更多
Background:Inflatable Penile Prosthesis(IPP)is the treatment for erectile dysfunction(ED)refractory to pharmacological therapies.Long-term data on factors associated with prosthesis survival remain unclear.This study ...Background:Inflatable Penile Prosthesis(IPP)is the treatment for erectile dysfunction(ED)refractory to pharmacological therapies.Long-term data on factors associated with prosthesis survival remain unclear.This study aimed to analyze the long-term survival of penile prostheses and identify risk factors associated with survival without reintervention.Methods:This is a retrospective,single-center study of patients who underwent IPP implantation between January 2014 and December 2022.Preoperative data related to the patient and the etiology of ED,as well as perioperative data,were collected.The primary outcome was survival without reintervention,defined as prosthesis revision or explantation due to mechanical dysfunction or infection.We conducted survival analyses without reintervention and searched for risk factors using a multivariate Cox model.Results:In total,33 out of 137 patients underwent reintervention(24.1%),including 24(17.5%)prosthesis revisions and 9(6.6%)had explantations.Median follow-up was 39 months with an interquartile range(IQR)of 9.00 to 62.00.Median survival without reintervention was 7 years.In univariate analysis,downsizing(p=0.046)was associated with reintervention.Smoking(p=0.003)and age(p=0.034)were associated with prosthesis explantation.The number of implantations(p=0.009)was associated with prosthesis revision.Multivariate analysis by the Cox model did not identify any independent predictive factors for reintervention.Conclusion:Smoking may play a role in infection post-IPP implantation.Primary implantations seem to be associated with better survival.Adjusting cylinder size,known as downsizing,is likely to be a proxy for the complexity of the procedure and thus linked to earlier reintervention.展开更多
I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single inve...I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single investigator or an isolated team.My advice is intended for early-career scientists.The product of the collaboration may be high-impact research publications,enhanced geophysical monitoring capabilities in a foreign country,or an advanced training course.Choosing the right international partner is the most important step.Keeping an open mind and being receptive to suggestions to modify the initial concept is critical.Other key steps include having a mutually agreed upon plan with achievable goals and well-defined expected outcomes.International cooperation is a richly rewarding experience that accelerates progress in the Earth Sciences.展开更多
Sandwich functionally graded(FG)auxetic beams are extensively utilized in aerospace,automotive,and biomedical industries due to their excellent strength-toweight ratio,impact resistance,and tunable mechanical properti...Sandwich functionally graded(FG)auxetic beams are extensively utilized in aerospace,automotive,and biomedical industries due to their excellent strength-toweight ratio,impact resistance,and tunable mechanical properties.The integration of FG materials with auxetic structures enhances their adaptability in advanced engineering applications.However,understanding their dynamic behavior under external excitations is essential for optimal design and structural reliability.Nonlinear interactions in such structures pose significant challenges in vibration analysis,necessitating robust analytical methods.This study presents a closed-form solution for the nonlinear forced vibration analysis of sandwich FG auxetic beams,offering an accurate and efficient method for predicting their dynamic response.The beam consists of two FG face sheets with material properties varying through the thickness and a re-entrant honeycomb auxetic core with an adjustable Poisson's ratio.The governing nonlinear equations of motion are derived using the first-order shear deformation theory(FSDT),the modified Gibson model,and the von Kármán relations,formulated through Hamilton's principle.A closed-form solution is obtained via the Galerkin method and multiple-scale technique.The results demonstrate that FG layers enable control of the overweight and dynamic response amplitude,with positive power law indexes reducing weight.Comparisons with finite element results confirm the accuracy of the proposed formulation.展开更多
Aqueous zinc-ion batteries(AZIBs)hold great promise for next-generation energy storage but face challenges such as Zn dendrite growth,side reactions,and limited performance at low temperatures.Here,we propose an elect...Aqueous zinc-ion batteries(AZIBs)hold great promise for next-generation energy storage but face challenges such as Zn dendrite growth,side reactions,and limited performance at low temperatures.Here,we propose an electrolyte design strategy that reconstructs the hydrogenbond network through the synergistic effect of glycerol(GL)and methylsulfonamide(MSA),enabling the formation of a(100)-oriented Zn anode.This design significantly broadens the operating current and temperature windows of AZIBs.As a result,Zn||Zn symmetric cells exhibit remarkable cycling stability,achieving 4,000 h at 1 mA cm^(-2)and 600 h at 40 mA cm^(-2)(both at 1 mAh cm^(-2)capacity);even at-20℃,Zn||Zn symmetric cells deliver ultra-stable cycling for over 5,400 h.Furthermore,Zn||VO_(2)full cells retain 77.3%of their capacity after 2,000 cycles at 30°C with a current density of 0.5 A g^(-1)and 85.4%capacity retention after 2,000 cycles at-20°C and 0.25 A g^(-1).These results demonstrate a robust pathway for enhancing the practicality and low-temperature adaptability of AZIBs.展开更多
BACKGROUND Long-term antipsychotic therapy in psychiatric patients carries significant cardiovascular risks,including QT interval prolongation,myocardial injury,and functional impairment.Guanxinning,a traditional Chin...BACKGROUND Long-term antipsychotic therapy in psychiatric patients carries significant cardiovascular risks,including QT interval prolongation,myocardial injury,and functional impairment.Guanxinning,a traditional Chinese medicine formulation,has demonstrated cardioprotective potential in preclinical studies,but clinical evidence in this population remains limited.AIM To evaluate the cardioprotective effects of Guanxinning against antipsychotic-induced cardiac injury in long-term hospitalized psychiatric patients.METHODS A randomized,double-blind,placebo-controlled trial was conducted with 120 psychiatric inpatients receiving chronic antipsychotic therapy.Participants were allocated to:Intervention group:Conventional antipsychotics+Guanxinning tablets(0.38 g×4 tablets,ter in die);Control group:Conventional antipsychotics+identical placebo;Cardiac assessments at baseline and 12 months included:Electrocardiography(corrected QT interval),echocardiography(left ventricular ejection fraction,left ventricular end-diastolic diameter),serum biomarkers(cardiac troponin I,B-type natriuretic peptide,superoxide dismutase,malondialdehyde,high-sensitivity C-reactive protein).RESULTS Compared to controls,the Guanxinning group showed:Electrophysiological improvement:Corrected QT shortening(438±25 milliseconds vs 465±30 milliseconds,P<0.01).Functional enhancement:Left ventricular ejection fraction increase(58.5%±5.2%vs 53.8%±4.8%,P<0.05),left ventricular end-diastolic diameter reduction(49.8±3.5 mm vs 52.6±3.8 mm,P<0.05),Biochemical modulation:Reduced myocardial injury markers(cardiac troponin I:0.009 ng/mL vs 0.014 ng/mL;B-type natriuretic peptide:52 pg/mL vs 78 pg/mL,P<0.001),improved oxidative stress(superoxide dismutase:↑13.3 U/mL;malondialdehyde:↓0.9 nmol/mL,P<0.001),attenuated inflammation(high-sensitivity C-reactive protein:2.0 mg/L vs 3.2 mg/L,P<0.001).CONCLUSION Guanxinning significantly mitigates antipsychotic-induced cardiac injury in psychiatric patients,demonstrating:Normalization of electrophysiological parameters,Preservation of systolic/diastolic function,suppression of oxidative stress and inflammation.These findings support its clinical application as an adjunctive cardioprotective therapy,potentially through inhibition of myocardial apoptosis and antioxidant upregulation.展开更多
AIM:To investigate the association between anti-DFS70 antibody positivity and ocular parameters,specifically,the choroidal vascularity index(CVI)and other optical coherence tomography(OCT)metrics,in a healthy populati...AIM:To investigate the association between anti-DFS70 antibody positivity and ocular parameters,specifically,the choroidal vascularity index(CVI)and other optical coherence tomography(OCT)metrics,in a healthy population.METHODS:This age-and sex-matched case-control study enrolled 84 healthy individuals with positive anti-DFS70 antibody findings and 84 healthy negative controls.All participants underwent detailed ophthalmological examinations,including biometry and OCT imaging.Anti-DFS70 positivity was determined by indirect immunofluorescence and scored semi-quantitatively(1+to 3+).CVI was calculated from OCT images using a standardized protocol with Image J software.Statistical analyses,including Student’s t-test,Mann-Whitney U test,Spearman correlation,and logistic regression,were used to compare groups and identify predictive factors.RESULTS:The individuals who tested positive and negative for anti-DFS70 included in the study were matched for age(median age=47y)and sex(F:M=7:1).CVI was significantly lower in the anti-DFS70-positive group compared to the negative group.A higher anti-DFS70 antibody titer was significantly associated with decreased subfoveal and nasal choroidal thickness(P=0.016 and P=0.014,respectively).In univariate regression analysis,CVI was the only significant predictor of anti-DFS70 positivity[odds ratio(OR)=0.02,P=0.025].Multivariate analysis revealed a positive correlation between macular thinning outside the subfoveal area and anti-DFS70 status(P<0.05).CONCLUSION:Our study demonstrates a novel association between anti-DFS70 antibody positivity and reduced choroidal vascularity in healthy individuals.These findings suggest that anti-DFS70 antibodies may be associated with subtle choroidal vascular changes detectable by OCT,even in asymptomatic individuals.Further longitudinal research is warranted to clarify the underlying mechanisms and long-term clinical significance of these ocular changes.展开更多
IBC Advanced Technologies’ Molecular Recognition Technology(MRT) SuperLig products selectively and rapidly bind with target species enabling their selective removal from solutions.The MRT process can produce a high p...IBC Advanced Technologies’ Molecular Recognition Technology(MRT) SuperLig products selectively and rapidly bind with target species enabling their selective removal from solutions.The MRT process can produce a high purity separation product of maximum added value at a competitive cost.SuperLig products have high selectivity for many target species which can include metal ions,anions,and neutral molecules.In operation,the SuperLig product is first placed in a packed column.A solution containing a mixture of the target species and other chemical species is then passed through the column.The target species is removed selectively by the SuperLig product,the column is washed to remove residual feed solution,and the target species is recovered by a minimal quantity of eluent.The result is a pure and concentrated species that can be kept for its value or disposed of safely.The process is environmentally and ecologically friendly with no organic solvents being used.This paper provides a review of some examples of applications of MRT to separations of interest to the Chinese metallurgical industry.Included are several applications of MRT,including Pd separations from Pt metal refinery streams and low-grade spent catalyst wastes,Rh recovery from spent auto catalyst and other feeds,Re removal from selected impurity ions,Cd removal from Co electrolyte,Bi removal from Cu electrolyte,In and Ge separations from difficult matrices,and removal of bivalent first transition series and other metal ions from acid mine drainage(Berkeley Pit,Montana).Finally,the potential application of MRT to separations involving the recovery of rare earth metals and Li from low-level waste solutions and end-of-life products is discussed.展开更多
When making assessments of forest resources,there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks.While important at various spatial scales,typical estimations ...When making assessments of forest resources,there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks.While important at various spatial scales,typical estimations pertinent to broad forest management and policy issues are conducted for large areas such as state,regional,and national perspectives.These assessments are usually accomplished using large-area forest inventory data collected by National Forest Inventory(NFI)programs.While NFI efforts commonly collect size data for individual trees,there is often limited information for tree seedlings,e.g.,frequency by species.To fully describe the tree population across the entire range of sizes present,this study proposes methods to predict individual seedling groundline diameter and height using models developed from trees having a diameter at breast height(DBH)less than 7.62 cm.These attributes are subsequently used for the prediction of seedling stem volume,total aboveground biomass,and carbon content.The results suggest a smooth transition in tree attributes as size increases to where direct measurement of individual trees and prediction of their volume,biomass,and carbon are implemented as part of standard inventory protocols.Analyses including the full spectrum of tree sizes show that seedlings contribute roughly 0.6%–0.7%of the total tree volume/mass.This additional suite of information provides opportunities for more holistic assessments across the full spectrum of the tree resource or for specialized subdomains that include the seedling component.展开更多
Traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease are three distinct neurological disorders that share common pathophysiological mechanisms involving neuroinflammation. One sequela ...Traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease are three distinct neurological disorders that share common pathophysiological mechanisms involving neuroinflammation. One sequela of neuroinflammation includes the pathologic hyperphosphorylation of tau protein, an endogenous microtubule-associated protein that protects the integrity of neuronal cytoskeletons. Tau hyperphosphorylation results in protein misfolding and subsequent accumulation of tau tangles forming neurotoxic aggregates. These misfolded proteins are characteristic of traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease and can lead to downstream neuroinflammatory processes, including assembly and activation of the inflammasome complex. Inflammasomes refer to a family of multimeric protein units that, upon activation, release a cascade of signaling molecules resulting in caspase-induced cell death and inflammation mediated by the release of interleukin-1β cytokine. One specific inflammasome, the NOD-like receptor protein 3, has been proposed to be a key regulator of tau phosphorylation where it has been shown that prolonged NOD-like receptor protein 3 activation acts as a causal factor in pathological tau accumulation and spreading. This review begins by describing the epidemiology and pathophysiology of traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease. Next, we highlight neuroinflammation as an overriding theme and discuss the role of the NOD-like receptor protein 3 inflammasome in the formation of tau deposits and how such tauopathic entities spread throughout the brain. We then propose a novel framework linking traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease as inflammasomedependent pathologies that exist along a temporal continuum. Finally, we discuss potential therapeutic targets that may intercept this pathway and ultimately minimize long-term neurological decline.展开更多
Ensuring the reliability of power transmission networks depends heavily on the early detection of faults in key components such as insulators,which serve both mechanical and electrical functions.Even a single defectiv...Ensuring the reliability of power transmission networks depends heavily on the early detection of faults in key components such as insulators,which serve both mechanical and electrical functions.Even a single defective insulator can lead to equipment breakdown,costly service interruptions,and increased maintenance demands.While unmanned aerial vehicles(UAVs)enable rapid and cost-effective collection of high-resolution imagery,accurate defect identification remains challenging due to cluttered backgrounds,variable lighting,and the diverse appearance of faults.To address these issues,we introduce a real-time inspection framework that integrates an enhanced YOLOv10 detector with a Hybrid Quantum-Enhanced Graph Neural Network(HQGNN).The YOLOv10 module,fine-tuned on domainspecific UAV datasets,improves detection precision,while the HQGNN ensures multi-object tracking and temporal consistency across video frames.This synergy enables reliable and efficient identification of faulty insulators under complex environmental conditions.Experimental results show that the proposed YOLOv10-HQGNN model surpasses existing methods across all metrics,achieving Recall of 0.85 and Average Precision(AP)of 0.83,with clear gains in both accuracy and throughput.These advancements support automated,proactive maintenance strategies that minimize downtime and contribute to a safer,smarter energy infrastructure.展开更多
The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduce...The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduces significant vulnerabilities,including fraud,money laundering,and market manipulation.Traditional anomaly detection techniques often fail to capture the relational and dynamic characteristics of financial data.Graph Neural Networks(GNNs),capable of modeling intricate interdependencies among entities,have emerged as a powerful framework for detecting subtle and sophisticated anomalies.However,the high-dimensionality and inherent noise of FinTech datasets demand robust feature selection strategies to improve model scalability,performance,and interpretability.This paper presents a comprehensive survey of GNN-based approaches for anomaly detection in FinTech,with an emphasis on the synergistic role of feature selection.We examine the theoretical foundations of GNNs,review state-of-the-art feature selection techniques,analyze their integration with GNNs,and categorize prevalent anomaly types in FinTech applications.In addition,we discuss practical implementation challenges,highlight representative case studies,and propose future research directions to advance the field of graph-based anomaly detection in financial systems.展开更多
Acute exposure to high altitude can cause acute altitude illnesses and is associated with impaired cognitive and physical performance.The most effective preventive strategies currently recommended include environmenta...Acute exposure to high altitude can cause acute altitude illnesses and is associated with impaired cognitive and physical performance.The most effective preventive strategies currently recommended include environmental acclimatization(slow ascent and/or pre-acclimatization)or pharmacological support of acclimatization using acetazolamide.However,these strategies are not practical for high-altitude exposures that require rapid and unplanned ascent,high physical and mental performance,such as rescue missions or military operations.Dexamethasone and other modulators of the glucocorticoid system take effect quickly and are effective alternatives for preventing acute altitude illnesses when rapidly ascending to high altitudes.As the efficacy of dexamethasone in preventing acute mountain illnesses remains controversial,a review of existing studies on the use of dexamethasone for the prevention of acute mountain sickness was conducted,aiming to determine the best strategy.Possible mechanisms of protection against acute altitude illnesses are discussed based on the results of clinical trials.The data indicate that dexamethasone is most effective at altitudes above 4000 m at doses of 8–16 mg/d.Appropriately designed and powered trials are needed to obtain more evidence-based results on the dosage and timing of dexamethasone administration,and to provide optimized recommendations for the application of this powerful pharmacological tool.展开更多
Coking industry is a potential source of heavy metals(HMs)pollution.However,its impacts to the groundwater of surrounding residential areas have not been well understood.This study investigated the pollution character...Coking industry is a potential source of heavy metals(HMs)pollution.However,its impacts to the groundwater of surrounding residential areas have not been well understood.This study investigated the pollution characteristics and health risks of HMs in groundwater nearby a typical coking plant.Nine HMs including Fe,Zn,Mo,As,Cu,Ni,Cr,Pb and Cd were analyzed.The average concentration of total HMswas higher in the nearby area(244.27μg/L)than that of remote area away the coking plant(89.15μg/L).The spatial distribution of pollution indices including heavy metal pollution index(HPI),Nemerow index(NI)and contamination degree(CD),all demonstrated higher values at the nearby residential areas,suggesting coking activity could significantly impact the HMs distribution characteristics.Four sources of HMs were identified by Positive Matrix Factorization(PMF)model,which indicated coal washing and coking emission were the dominant sources,accounted for 40.4%,and 31.0%,respectively.Oral ingestionwas found to be the dominant exposure pathway with higher exposure dose to children than adults.Hazard quotient(HQ)values were below 1.0,suggesting negligible non-carcinogenic health risks,while potential carcinogenic risks were from Pb and Ni with cancer risk(CR)values>10−6.Monte Carlo simulation matched well with the calculated results with HMs concentrations to be the most sensitive parameters.This study provides insights into understanding how the industrial coking activities can impact the HMs pollution characteristics in groundwater,thus facilitating the implement of HMs regulation in coking industries.展开更多
The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-gener...The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.展开更多
This paper presents the variational physics-informed neural network(VPINN)as an effective tool for static structural analyses.One key innovation includes the construction of the neural network solution as an admissibl...This paper presents the variational physics-informed neural network(VPINN)as an effective tool for static structural analyses.One key innovation includes the construction of the neural network solution as an admissible function of the boundary-value problem(BVP),which satisfies all geometrical boundary conditions.We then prove that the admissible neural network solution also satisfies natural boundary conditions,and therefore all boundary conditions,when the stationarity condition of the variational principle is met.Numerical examples are presented to show the advantages and effectiveness of the VPINN in comparison with the physics-informed neural network(PINN).Another contribution of the work is the introduction of Gaussian approximation of the Dirac delta function,which significantly enhances the ability of neural networks to handle singularities,as demonstrated by the examples with concentrated support conditions and loadings.It is hoped that these structural examples are so convincing that engineers would adopt the VPINN method in their structural design practice.展开更多
This study aims to assess the potential of natural tourism in Kosovo,especially in the Dukagjin region as a case study.The main objective is to identify and analyze this region’s tourism potential to understand its i...This study aims to assess the potential of natural tourism in Kosovo,especially in the Dukagjin region as a case study.The main objective is to identify and analyze this region’s tourism potential to understand its impact and importance.180 respondents from the Dukagjin region participated in this study,and the quantitative method was used as a methodology.The measurement instrument consisted of 30 closed questions,which aimed to collect detailed information on the potential of natural tourism in this area.The study results showed that mountain,cultural,winter,healing,and rural tourism are especially important for developing the Dukagjin region.Furthermore,the analysis shows that 30%of the tourism potential is explained by rural tourism,underlining its importance in the local economy.Finally,the study’s findings are discussed,emphasizing their practical value for promoting and developing sustainable tourism in the region.展开更多
In this article,we review our previous research for spatial and temporal characterizations of the San Andreas Fault(SAF)at Parkfield,using the fault-zone trapped wave(FZTW)since the middle 1980s.Parkfield,California h...In this article,we review our previous research for spatial and temporal characterizations of the San Andreas Fault(SAF)at Parkfield,using the fault-zone trapped wave(FZTW)since the middle 1980s.Parkfield,California has been taken as a scientific seismic experimental site in the USA since the 1970s,and the SAF is the target fault to investigate earthquake physics and forecasting.More than ten types of field experiments(including seismic,geophysical,geochemical,geodetic and so on)have been carried out at this experimental site since then.In the fall of 2003,a pair of scientific wells were drilled at the San Andreas Fault Observatory at Depth(SAFOD)site;the main-hole(MH)passed a~200-m-wide low-velocity zone(LVZ)with highly fractured rocks of the SAF at a depth of~3.2 km below the wellhead on the ground level(Hickman et al.,2005;Zoback,2007;Lockner et al.,2011).Borehole seismographs were installed in the SAFOD MH in 2004,which were located within the LVZ of the fault at~3-km depth to probe the internal structure and physical properties of the SAF.On September 282004,a M6 earthquake occurred~15 km southeast of the town of Parkfield.The data recorded in the field experiments before and after the 2004 M6 earthquake provided a unique opportunity to monitor the co-mainshock damage and post-seismic heal of the SAF associated with this strong earthquake.This retrospective review of the results from a sequence of our previous experiments at the Parkfield SAF,California,will be valuable for other researchers who are carrying out seismic experiments at the active faults to develop the community seismic wave velocity models,the fault models and the earthquake forecasting models in global seismogenic regions.展开更多
BACKGROUND Major depressive disorder(MDD)and obesity(OB)are bidirectionally comorbid conditions with common neurobiological underpinnings.However,the neurocognitive mechanisms of their comorbidity remain poorly unders...BACKGROUND Major depressive disorder(MDD)and obesity(OB)are bidirectionally comorbid conditions with common neurobiological underpinnings.However,the neurocognitive mechanisms of their comorbidity remain poorly understood.AIM To examine regional abnormalities in spontaneous brain activity among patients with MDD-OB comorbidity.METHODS This study adopted a regional homogeneity(ReHo)analysis of resting-state functional magnetic resonance imaging.The study included 149 hospital patients divided into four groups:Patients experiencing their first episode of drug-naive MDD with OB,patients with MDD without OB,and age-and sex-matched healthy individuals with and without OB.Whole-brain ReHo analysis was conducted using SPM12 software and RESTplus toolkits,with group comparisons via ANOVA and post-hoc tests.Correlations between ReHo values and behavioral measures were examined.RESULTS ANOVA revealed significant whole-brain ReHo differences among the four groups in four key regions:The left middle temporal gyrus(MTG.L),right cuneus,left precuneus,and left thalamus.Post-hoc analyses confirmed pairwise differences between all groups across these regions(P<0.05).OB was associated with ReHo alterations in the MTG.L,right cuneus,and left thalamus,whereas abnormalities in the precuneus suggested synergistic pathological mechanisms between MDD and OB.Statistically significant correlations were found between the drive and fun-seeking dimensions of the behavioral activation system,as well as behavioral inhibition and the corresponding ReHo values.CONCLUSION Our findings provide novel evidence for the neuroadaptive mechanisms underlying the MDD-OB comorbidity.Further validation could lead to personalized interventions targeting MTG.L hyperactivity and targeting healthy food cues.展开更多
Ascorbate(Asc),commonly known as vitamin C,is a vital molecule for plant growth,development,and stress resilience.It is also known to play a crucial role in various physiological processes,including photosynthesis,cel...Ascorbate(Asc),commonly known as vitamin C,is a vital molecule for plant growth,development,and stress resilience.It is also known to play a crucial role in various physiological processes,including photosynthesis,cell division,and differentiation.This article thoroughly explores the processes governing the metabolism of Asc in plants and its roles in physiological functions.It lays down a robust theoretical groundwork for delving into Asc production,transportation,functions,and its potential applications in stress alleviation and horticulture.Furthermore,recent studies indicate that Asc plays a role in regulating fruit development and affecting postharvest storage characteristics,thereby influencing fruit ripening and resilience to stress.Hence,there is a growing importance in studying the synthesis and utilization of Asc in plants.Although the critical role of Asc in controlling plant redox signals has been extensively studied,the precise mechanisms by which it manages cellular redox homeostasis to maintain the equilibrium between reactive oxygen scavenging and cell redox signaling remain elusive.This gap in knowledge presents fresh opportunities to explore how the production of Asc in plants is regulated and how plants react to environmental stressors.Furthermore,this article delves into the potential for a comprehensive investigation into the essential function of Asc in fruits,the development of Asc-rich fruits,and the enhancement of postharvest storage properties.展开更多
基金supported by ANR(ANR-21CE16-0008-01)ANR(ANR-21-CE16-0008-02 and ANR-23CE52-0007)+1 种基金UNADEV(A22018CS)(to HN)UNADEV(A22020CS)(to SB)。
文摘The mature central nervous system(CNS,composed of the brain,spinal cord,olfactory and optic nerves)is unable to regenerate spontaneously after an insult,both in the cases of neurodegenerative diseases(for example Alzheimer's or Parkinson's disease)or traumatic injuries(such as spinal cord lesions).In the last 20 years,the field has made significant progress in unlocking axon regrowth.
文摘Background:Inflatable Penile Prosthesis(IPP)is the treatment for erectile dysfunction(ED)refractory to pharmacological therapies.Long-term data on factors associated with prosthesis survival remain unclear.This study aimed to analyze the long-term survival of penile prostheses and identify risk factors associated with survival without reintervention.Methods:This is a retrospective,single-center study of patients who underwent IPP implantation between January 2014 and December 2022.Preoperative data related to the patient and the etiology of ED,as well as perioperative data,were collected.The primary outcome was survival without reintervention,defined as prosthesis revision or explantation due to mechanical dysfunction or infection.We conducted survival analyses without reintervention and searched for risk factors using a multivariate Cox model.Results:In total,33 out of 137 patients underwent reintervention(24.1%),including 24(17.5%)prosthesis revisions and 9(6.6%)had explantations.Median follow-up was 39 months with an interquartile range(IQR)of 9.00 to 62.00.Median survival without reintervention was 7 years.In univariate analysis,downsizing(p=0.046)was associated with reintervention.Smoking(p=0.003)and age(p=0.034)were associated with prosthesis explantation.The number of implantations(p=0.009)was associated with prosthesis revision.Multivariate analysis by the Cox model did not identify any independent predictive factors for reintervention.Conclusion:Smoking may play a role in infection post-IPP implantation.Primary implantations seem to be associated with better survival.Adjusting cylinder size,known as downsizing,is likely to be a proxy for the complexity of the procedure and thus linked to earlier reintervention.
文摘I offer suggestions to increase the probability of success of an international research project.Collaborative studies often produce more innovative and transformative scientific results than work done by a single investigator or an isolated team.My advice is intended for early-career scientists.The product of the collaboration may be high-impact research publications,enhanced geophysical monitoring capabilities in a foreign country,or an advanced training course.Choosing the right international partner is the most important step.Keeping an open mind and being receptive to suggestions to modify the initial concept is critical.Other key steps include having a mutually agreed upon plan with achievable goals and well-defined expected outcomes.International cooperation is a richly rewarding experience that accelerates progress in the Earth Sciences.
文摘Sandwich functionally graded(FG)auxetic beams are extensively utilized in aerospace,automotive,and biomedical industries due to their excellent strength-toweight ratio,impact resistance,and tunable mechanical properties.The integration of FG materials with auxetic structures enhances their adaptability in advanced engineering applications.However,understanding their dynamic behavior under external excitations is essential for optimal design and structural reliability.Nonlinear interactions in such structures pose significant challenges in vibration analysis,necessitating robust analytical methods.This study presents a closed-form solution for the nonlinear forced vibration analysis of sandwich FG auxetic beams,offering an accurate and efficient method for predicting their dynamic response.The beam consists of two FG face sheets with material properties varying through the thickness and a re-entrant honeycomb auxetic core with an adjustable Poisson's ratio.The governing nonlinear equations of motion are derived using the first-order shear deformation theory(FSDT),the modified Gibson model,and the von Kármán relations,formulated through Hamilton's principle.A closed-form solution is obtained via the Galerkin method and multiple-scale technique.The results demonstrate that FG layers enable control of the overweight and dynamic response amplitude,with positive power law indexes reducing weight.Comparisons with finite element results confirm the accuracy of the proposed formulation.
基金financially supported by Guangdong Major Project of Basic Research(No.2023B0303000002)Shenzhen Fundamental Research Programs(No.JCYJ20241202125404007)+1 种基金Shenzhen Key Laboratory of Advanced Energy Storage(No.ZDSYS20220401141000001)National Natural Science Foundation of China(No.52263016,22265007)。
文摘Aqueous zinc-ion batteries(AZIBs)hold great promise for next-generation energy storage but face challenges such as Zn dendrite growth,side reactions,and limited performance at low temperatures.Here,we propose an electrolyte design strategy that reconstructs the hydrogenbond network through the synergistic effect of glycerol(GL)and methylsulfonamide(MSA),enabling the formation of a(100)-oriented Zn anode.This design significantly broadens the operating current and temperature windows of AZIBs.As a result,Zn||Zn symmetric cells exhibit remarkable cycling stability,achieving 4,000 h at 1 mA cm^(-2)and 600 h at 40 mA cm^(-2)(both at 1 mAh cm^(-2)capacity);even at-20℃,Zn||Zn symmetric cells deliver ultra-stable cycling for over 5,400 h.Furthermore,Zn||VO_(2)full cells retain 77.3%of their capacity after 2,000 cycles at 30°C with a current density of 0.5 A g^(-1)and 85.4%capacity retention after 2,000 cycles at-20°C and 0.25 A g^(-1).These results demonstrate a robust pathway for enhancing the practicality and low-temperature adaptability of AZIBs.
基金Supported by the Special Project for Supporting the Development of Biomedicine and Health Industry in Hangzhou City,No.2022WJC123Zhejiang Province Traditional Chinese Medicine Science and Technology Plan Project,No.2022ZA143.
文摘BACKGROUND Long-term antipsychotic therapy in psychiatric patients carries significant cardiovascular risks,including QT interval prolongation,myocardial injury,and functional impairment.Guanxinning,a traditional Chinese medicine formulation,has demonstrated cardioprotective potential in preclinical studies,but clinical evidence in this population remains limited.AIM To evaluate the cardioprotective effects of Guanxinning against antipsychotic-induced cardiac injury in long-term hospitalized psychiatric patients.METHODS A randomized,double-blind,placebo-controlled trial was conducted with 120 psychiatric inpatients receiving chronic antipsychotic therapy.Participants were allocated to:Intervention group:Conventional antipsychotics+Guanxinning tablets(0.38 g×4 tablets,ter in die);Control group:Conventional antipsychotics+identical placebo;Cardiac assessments at baseline and 12 months included:Electrocardiography(corrected QT interval),echocardiography(left ventricular ejection fraction,left ventricular end-diastolic diameter),serum biomarkers(cardiac troponin I,B-type natriuretic peptide,superoxide dismutase,malondialdehyde,high-sensitivity C-reactive protein).RESULTS Compared to controls,the Guanxinning group showed:Electrophysiological improvement:Corrected QT shortening(438±25 milliseconds vs 465±30 milliseconds,P<0.01).Functional enhancement:Left ventricular ejection fraction increase(58.5%±5.2%vs 53.8%±4.8%,P<0.05),left ventricular end-diastolic diameter reduction(49.8±3.5 mm vs 52.6±3.8 mm,P<0.05),Biochemical modulation:Reduced myocardial injury markers(cardiac troponin I:0.009 ng/mL vs 0.014 ng/mL;B-type natriuretic peptide:52 pg/mL vs 78 pg/mL,P<0.001),improved oxidative stress(superoxide dismutase:↑13.3 U/mL;malondialdehyde:↓0.9 nmol/mL,P<0.001),attenuated inflammation(high-sensitivity C-reactive protein:2.0 mg/L vs 3.2 mg/L,P<0.001).CONCLUSION Guanxinning significantly mitigates antipsychotic-induced cardiac injury in psychiatric patients,demonstrating:Normalization of electrophysiological parameters,Preservation of systolic/diastolic function,suppression of oxidative stress and inflammation.These findings support its clinical application as an adjunctive cardioprotective therapy,potentially through inhibition of myocardial apoptosis and antioxidant upregulation.
文摘AIM:To investigate the association between anti-DFS70 antibody positivity and ocular parameters,specifically,the choroidal vascularity index(CVI)and other optical coherence tomography(OCT)metrics,in a healthy population.METHODS:This age-and sex-matched case-control study enrolled 84 healthy individuals with positive anti-DFS70 antibody findings and 84 healthy negative controls.All participants underwent detailed ophthalmological examinations,including biometry and OCT imaging.Anti-DFS70 positivity was determined by indirect immunofluorescence and scored semi-quantitatively(1+to 3+).CVI was calculated from OCT images using a standardized protocol with Image J software.Statistical analyses,including Student’s t-test,Mann-Whitney U test,Spearman correlation,and logistic regression,were used to compare groups and identify predictive factors.RESULTS:The individuals who tested positive and negative for anti-DFS70 included in the study were matched for age(median age=47y)and sex(F:M=7:1).CVI was significantly lower in the anti-DFS70-positive group compared to the negative group.A higher anti-DFS70 antibody titer was significantly associated with decreased subfoveal and nasal choroidal thickness(P=0.016 and P=0.014,respectively).In univariate regression analysis,CVI was the only significant predictor of anti-DFS70 positivity[odds ratio(OR)=0.02,P=0.025].Multivariate analysis revealed a positive correlation between macular thinning outside the subfoveal area and anti-DFS70 status(P<0.05).CONCLUSION:Our study demonstrates a novel association between anti-DFS70 antibody positivity and reduced choroidal vascularity in healthy individuals.These findings suggest that anti-DFS70 antibodies may be associated with subtle choroidal vascular changes detectable by OCT,even in asymptomatic individuals.Further longitudinal research is warranted to clarify the underlying mechanisms and long-term clinical significance of these ocular changes.
文摘IBC Advanced Technologies’ Molecular Recognition Technology(MRT) SuperLig products selectively and rapidly bind with target species enabling their selective removal from solutions.The MRT process can produce a high purity separation product of maximum added value at a competitive cost.SuperLig products have high selectivity for many target species which can include metal ions,anions,and neutral molecules.In operation,the SuperLig product is first placed in a packed column.A solution containing a mixture of the target species and other chemical species is then passed through the column.The target species is removed selectively by the SuperLig product,the column is washed to remove residual feed solution,and the target species is recovered by a minimal quantity of eluent.The result is a pure and concentrated species that can be kept for its value or disposed of safely.The process is environmentally and ecologically friendly with no organic solvents being used.This paper provides a review of some examples of applications of MRT to separations of interest to the Chinese metallurgical industry.Included are several applications of MRT,including Pd separations from Pt metal refinery streams and low-grade spent catalyst wastes,Rh recovery from spent auto catalyst and other feeds,Re removal from selected impurity ions,Cd removal from Co electrolyte,Bi removal from Cu electrolyte,In and Ge separations from difficult matrices,and removal of bivalent first transition series and other metal ions from acid mine drainage(Berkeley Pit,Montana).Finally,the potential application of MRT to separations involving the recovery of rare earth metals and Li from low-level waste solutions and end-of-life products is discussed.
文摘When making assessments of forest resources,there is nearly ubiquitous interest in quantifying current status and trends in tree biomass and carbon stocks.While important at various spatial scales,typical estimations pertinent to broad forest management and policy issues are conducted for large areas such as state,regional,and national perspectives.These assessments are usually accomplished using large-area forest inventory data collected by National Forest Inventory(NFI)programs.While NFI efforts commonly collect size data for individual trees,there is often limited information for tree seedlings,e.g.,frequency by species.To fully describe the tree population across the entire range of sizes present,this study proposes methods to predict individual seedling groundline diameter and height using models developed from trees having a diameter at breast height(DBH)less than 7.62 cm.These attributes are subsequently used for the prediction of seedling stem volume,total aboveground biomass,and carbon content.The results suggest a smooth transition in tree attributes as size increases to where direct measurement of individual trees and prediction of their volume,biomass,and carbon are implemented as part of standard inventory protocols.Analyses including the full spectrum of tree sizes show that seedlings contribute roughly 0.6%–0.7%of the total tree volume/mass.This additional suite of information provides opportunities for more holistic assessments across the full spectrum of the tree resource or for specialized subdomains that include the seedling component.
文摘Traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease are three distinct neurological disorders that share common pathophysiological mechanisms involving neuroinflammation. One sequela of neuroinflammation includes the pathologic hyperphosphorylation of tau protein, an endogenous microtubule-associated protein that protects the integrity of neuronal cytoskeletons. Tau hyperphosphorylation results in protein misfolding and subsequent accumulation of tau tangles forming neurotoxic aggregates. These misfolded proteins are characteristic of traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease and can lead to downstream neuroinflammatory processes, including assembly and activation of the inflammasome complex. Inflammasomes refer to a family of multimeric protein units that, upon activation, release a cascade of signaling molecules resulting in caspase-induced cell death and inflammation mediated by the release of interleukin-1β cytokine. One specific inflammasome, the NOD-like receptor protein 3, has been proposed to be a key regulator of tau phosphorylation where it has been shown that prolonged NOD-like receptor protein 3 activation acts as a causal factor in pathological tau accumulation and spreading. This review begins by describing the epidemiology and pathophysiology of traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease. Next, we highlight neuroinflammation as an overriding theme and discuss the role of the NOD-like receptor protein 3 inflammasome in the formation of tau deposits and how such tauopathic entities spread throughout the brain. We then propose a novel framework linking traumatic brain injury, chronic traumatic encephalopathy, and Alzheimer's disease as inflammasomedependent pathologies that exist along a temporal continuum. Finally, we discuss potential therapeutic targets that may intercept this pathway and ultimately minimize long-term neurological decline.
基金supported by Ho Chi Minh City Open University,Vietnam and Suan Sunandha Rajabhat Univeristy,Thailand.
文摘Ensuring the reliability of power transmission networks depends heavily on the early detection of faults in key components such as insulators,which serve both mechanical and electrical functions.Even a single defective insulator can lead to equipment breakdown,costly service interruptions,and increased maintenance demands.While unmanned aerial vehicles(UAVs)enable rapid and cost-effective collection of high-resolution imagery,accurate defect identification remains challenging due to cluttered backgrounds,variable lighting,and the diverse appearance of faults.To address these issues,we introduce a real-time inspection framework that integrates an enhanced YOLOv10 detector with a Hybrid Quantum-Enhanced Graph Neural Network(HQGNN).The YOLOv10 module,fine-tuned on domainspecific UAV datasets,improves detection precision,while the HQGNN ensures multi-object tracking and temporal consistency across video frames.This synergy enables reliable and efficient identification of faulty insulators under complex environmental conditions.Experimental results show that the proposed YOLOv10-HQGNN model surpasses existing methods across all metrics,achieving Recall of 0.85 and Average Precision(AP)of 0.83,with clear gains in both accuracy and throughput.These advancements support automated,proactive maintenance strategies that minimize downtime and contribute to a safer,smarter energy infrastructure.
基金supported by Ho Chi Minh City Open University,Vietnam under grant number E2024.02.1CD and Suan Sunandha Rajabhat University,Thailand.
文摘The Financial Technology(FinTech)sector has witnessed rapid growth,resulting in increasingly complex and high-volume digital transactions.Although this expansion improves efficiency and accessibility,it also introduces significant vulnerabilities,including fraud,money laundering,and market manipulation.Traditional anomaly detection techniques often fail to capture the relational and dynamic characteristics of financial data.Graph Neural Networks(GNNs),capable of modeling intricate interdependencies among entities,have emerged as a powerful framework for detecting subtle and sophisticated anomalies.However,the high-dimensionality and inherent noise of FinTech datasets demand robust feature selection strategies to improve model scalability,performance,and interpretability.This paper presents a comprehensive survey of GNN-based approaches for anomaly detection in FinTech,with an emphasis on the synergistic role of feature selection.We examine the theoretical foundations of GNNs,review state-of-the-art feature selection techniques,analyze their integration with GNNs,and categorize prevalent anomaly types in FinTech applications.In addition,we discuss practical implementation challenges,highlight representative case studies,and propose future research directions to advance the field of graph-based anomaly detection in financial systems.
文摘Acute exposure to high altitude can cause acute altitude illnesses and is associated with impaired cognitive and physical performance.The most effective preventive strategies currently recommended include environmental acclimatization(slow ascent and/or pre-acclimatization)or pharmacological support of acclimatization using acetazolamide.However,these strategies are not practical for high-altitude exposures that require rapid and unplanned ascent,high physical and mental performance,such as rescue missions or military operations.Dexamethasone and other modulators of the glucocorticoid system take effect quickly and are effective alternatives for preventing acute altitude illnesses when rapidly ascending to high altitudes.As the efficacy of dexamethasone in preventing acute mountain illnesses remains controversial,a review of existing studies on the use of dexamethasone for the prevention of acute mountain sickness was conducted,aiming to determine the best strategy.Possible mechanisms of protection against acute altitude illnesses are discussed based on the results of clinical trials.The data indicate that dexamethasone is most effective at altitudes above 4000 m at doses of 8–16 mg/d.Appropriately designed and powered trials are needed to obtain more evidence-based results on the dosage and timing of dexamethasone administration,and to provide optimized recommendations for the application of this powerful pharmacological tool.
基金supported by the National Key Research and Development Program of China(No.2019YFC1804501)the National Natural Science Foundation of China(Nos.42122056 and U1901210)+2 种基金Guangdong Basic and Applied Basic Research Foundation(No.2021B1515020063)the Key Research and Development Program of Guangdong Province(No.2021B1111380003)the Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program(No.2017BT01Z032).
文摘Coking industry is a potential source of heavy metals(HMs)pollution.However,its impacts to the groundwater of surrounding residential areas have not been well understood.This study investigated the pollution characteristics and health risks of HMs in groundwater nearby a typical coking plant.Nine HMs including Fe,Zn,Mo,As,Cu,Ni,Cr,Pb and Cd were analyzed.The average concentration of total HMswas higher in the nearby area(244.27μg/L)than that of remote area away the coking plant(89.15μg/L).The spatial distribution of pollution indices including heavy metal pollution index(HPI),Nemerow index(NI)and contamination degree(CD),all demonstrated higher values at the nearby residential areas,suggesting coking activity could significantly impact the HMs distribution characteristics.Four sources of HMs were identified by Positive Matrix Factorization(PMF)model,which indicated coal washing and coking emission were the dominant sources,accounted for 40.4%,and 31.0%,respectively.Oral ingestionwas found to be the dominant exposure pathway with higher exposure dose to children than adults.Hazard quotient(HQ)values were below 1.0,suggesting negligible non-carcinogenic health risks,while potential carcinogenic risks were from Pb and Ni with cancer risk(CR)values>10−6.Monte Carlo simulation matched well with the calculated results with HMs concentrations to be the most sensitive parameters.This study provides insights into understanding how the industrial coking activities can impact the HMs pollution characteristics in groundwater,thus facilitating the implement of HMs regulation in coking industries.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korea government(MSIT)(RS-2025-00559546)supported by the IITP(Institute of Information&Coummunications Technology Planning&Evaluation)-ITRC(Information Technology Research Center)grant funded by the Korea government(Ministry of Science and ICT)(IITP-2025-RS-2023-00259004).
文摘The advent of sixth-generation(6G)networks introduces unprecedented challenges in achieving seamless connectivity,ultra-low latency,and efficient resource management in highly dynamic environments.Although fifth-generation(5G)networks transformed mobile broadband and machine-type communications at massive scales,their properties of scaling,interference management,and latency remain a limitation in dense high mobility settings.To overcome these limitations,artificial intelligence(AI)and unmanned aerial vehicles(UAVs)have emerged as potential solutions to develop versatile,dynamic,and energy-efficient communication systems.The study proposes an AI-based UAV architecture that utilizes cooperative reinforcement learning(CoRL)to manage an autonomous network.The UAVs collaborate by sharing local observations and real-time state exchanges to optimize user connectivity,movement directions,allocate power,and resource distribution.Unlike conventional centralized or autonomous methods,CoRL involves joint state sharing and conflict-sensitive reward shaping,which ensures fair coverage,less interference,and enhanced adaptability in a dynamic urban environment.Simulations conducted in smart city scenarios with 10 UAVs and 50 ground users demonstrate that the proposed CoRL-based UAV system increases user coverage by up to 10%,achieves convergence 40%faster,and reduces latency and energy consumption by 30%compared with centralized and decentralized baselines.Furthermore,the distributed nature of the algorithm ensures scalability and flexibility,making it well-suited for future large-scale 6G deployments.The results highlighted that AI-enabled UAV systems enhance connectivity,support ultra-reliable low-latency communications(URLLC),and improve 6G network efficiency.Future work will extend the framework with adaptive modulation,beamforming-aware positioning,and real-world testbed deployment.
基金supported by the National Natural Science Foundation of China(Nos.12072118 and12372029)。
文摘This paper presents the variational physics-informed neural network(VPINN)as an effective tool for static structural analyses.One key innovation includes the construction of the neural network solution as an admissible function of the boundary-value problem(BVP),which satisfies all geometrical boundary conditions.We then prove that the admissible neural network solution also satisfies natural boundary conditions,and therefore all boundary conditions,when the stationarity condition of the variational principle is met.Numerical examples are presented to show the advantages and effectiveness of the VPINN in comparison with the physics-informed neural network(PINN).Another contribution of the work is the introduction of Gaussian approximation of the Dirac delta function,which significantly enhances the ability of neural networks to handle singularities,as demonstrated by the examples with concentrated support conditions and loadings.It is hoped that these structural examples are so convincing that engineers would adopt the VPINN method in their structural design practice.
文摘This study aims to assess the potential of natural tourism in Kosovo,especially in the Dukagjin region as a case study.The main objective is to identify and analyze this region’s tourism potential to understand its impact and importance.180 respondents from the Dukagjin region participated in this study,and the quantitative method was used as a methodology.The measurement instrument consisted of 30 closed questions,which aimed to collect detailed information on the potential of natural tourism in this area.The study results showed that mountain,cultural,winter,healing,and rural tourism are especially important for developing the Dukagjin region.Furthermore,the analysis shows that 30%of the tourism potential is explained by rural tourism,underlining its importance in the local economy.Finally,the study’s findings are discussed,emphasizing their practical value for promoting and developing sustainable tourism in the region.
文摘In this article,we review our previous research for spatial and temporal characterizations of the San Andreas Fault(SAF)at Parkfield,using the fault-zone trapped wave(FZTW)since the middle 1980s.Parkfield,California has been taken as a scientific seismic experimental site in the USA since the 1970s,and the SAF is the target fault to investigate earthquake physics and forecasting.More than ten types of field experiments(including seismic,geophysical,geochemical,geodetic and so on)have been carried out at this experimental site since then.In the fall of 2003,a pair of scientific wells were drilled at the San Andreas Fault Observatory at Depth(SAFOD)site;the main-hole(MH)passed a~200-m-wide low-velocity zone(LVZ)with highly fractured rocks of the SAF at a depth of~3.2 km below the wellhead on the ground level(Hickman et al.,2005;Zoback,2007;Lockner et al.,2011).Borehole seismographs were installed in the SAFOD MH in 2004,which were located within the LVZ of the fault at~3-km depth to probe the internal structure and physical properties of the SAF.On September 282004,a M6 earthquake occurred~15 km southeast of the town of Parkfield.The data recorded in the field experiments before and after the 2004 M6 earthquake provided a unique opportunity to monitor the co-mainshock damage and post-seismic heal of the SAF associated with this strong earthquake.This retrospective review of the results from a sequence of our previous experiments at the Parkfield SAF,California,will be valuable for other researchers who are carrying out seismic experiments at the active faults to develop the community seismic wave velocity models,the fault models and the earthquake forecasting models in global seismogenic regions.
基金Supported by Provincial Key Research Project of Henan Province,No.232102310081.
文摘BACKGROUND Major depressive disorder(MDD)and obesity(OB)are bidirectionally comorbid conditions with common neurobiological underpinnings.However,the neurocognitive mechanisms of their comorbidity remain poorly understood.AIM To examine regional abnormalities in spontaneous brain activity among patients with MDD-OB comorbidity.METHODS This study adopted a regional homogeneity(ReHo)analysis of resting-state functional magnetic resonance imaging.The study included 149 hospital patients divided into four groups:Patients experiencing their first episode of drug-naive MDD with OB,patients with MDD without OB,and age-and sex-matched healthy individuals with and without OB.Whole-brain ReHo analysis was conducted using SPM12 software and RESTplus toolkits,with group comparisons via ANOVA and post-hoc tests.Correlations between ReHo values and behavioral measures were examined.RESULTS ANOVA revealed significant whole-brain ReHo differences among the four groups in four key regions:The left middle temporal gyrus(MTG.L),right cuneus,left precuneus,and left thalamus.Post-hoc analyses confirmed pairwise differences between all groups across these regions(P<0.05).OB was associated with ReHo alterations in the MTG.L,right cuneus,and left thalamus,whereas abnormalities in the precuneus suggested synergistic pathological mechanisms between MDD and OB.Statistically significant correlations were found between the drive and fun-seeking dimensions of the behavioral activation system,as well as behavioral inhibition and the corresponding ReHo values.CONCLUSION Our findings provide novel evidence for the neuroadaptive mechanisms underlying the MDD-OB comorbidity.Further validation could lead to personalized interventions targeting MTG.L hyperactivity and targeting healthy food cues.
基金supported by the Lendület/Momentum Programme of the Hungarian Academy of Sciencesthe National Research, Development, and Innovation Office, Hungary (Grant Nos. LP2024/21 and K146791)+2 种基金Bayers fellowship program MEDHA and Department of Botany, University of Calicutthe financial assistance provided in the form of Junior Research Fellowship from the University Grants Commission (UGC), Indiathe financial assistance provided by the Council for Scientific and Industrial Research(CSIR), India
文摘Ascorbate(Asc),commonly known as vitamin C,is a vital molecule for plant growth,development,and stress resilience.It is also known to play a crucial role in various physiological processes,including photosynthesis,cell division,and differentiation.This article thoroughly explores the processes governing the metabolism of Asc in plants and its roles in physiological functions.It lays down a robust theoretical groundwork for delving into Asc production,transportation,functions,and its potential applications in stress alleviation and horticulture.Furthermore,recent studies indicate that Asc plays a role in regulating fruit development and affecting postharvest storage characteristics,thereby influencing fruit ripening and resilience to stress.Hence,there is a growing importance in studying the synthesis and utilization of Asc in plants.Although the critical role of Asc in controlling plant redox signals has been extensively studied,the precise mechanisms by which it manages cellular redox homeostasis to maintain the equilibrium between reactive oxygen scavenging and cell redox signaling remain elusive.This gap in knowledge presents fresh opportunities to explore how the production of Asc in plants is regulated and how plants react to environmental stressors.Furthermore,this article delves into the potential for a comprehensive investigation into the essential function of Asc in fruits,the development of Asc-rich fruits,and the enhancement of postharvest storage properties.
