Purpose-Amidst an increasingly severe cybersecurity landscape,the widespread adoption of Xinchuang endpoints has become a strategic imperative.Governments and enterprises have established terminal localization as a cr...Purpose-Amidst an increasingly severe cybersecurity landscape,the widespread adoption of Xinchuang endpoints has become a strategic imperative.Governments and enterprises have established terminal localization as a critical objective,aiming for comprehensive indigenous replacement through rapid technological iteration.Consequently,Xinchuang systems and Windows platforms are expected to coexist over an extended period.This study seeks to establish an automated verification framework for multi-version operating systems and validate the efficacy of baseline hardening in mitigating security risks.Design/methodology/approach-Based on the Classified Protection 2.0 framework and relevant national standards for endpoint security,this study proposes an endpoint security baseline verification scheme applicable to multiple operating systems.The scheme addresses divergent security policies and implementation methodologies across heterogeneous environments.It automates the inspection of core baselines,including account password complexity,default shared service status and patch installation status.Furthermore,a comprehensive scoring model is established by incorporating differentiated weights for account security,patch management and log auditing,ultimately generating visualized risk reports to facilitate remediation prioritization.Findings-This study reveals that baseline configuration serves as the fundamental prerequisite in endpoint security practices.Through a scalable detection engine and quantitative scoring model,the system can promptly identify and remediate potential risks,thereby reducing the attack surface and mitigating intrusion risks.However,on certain domestic chip architectures,compatibility issues persist in detecting specific configuration items.Further improvement in hardware-software co-adaptation for domestic platforms is required to advance the development of localized security protection systems.Originality/value-Through in-depth research on security baseline configurations across multiple operating systems,this study implements an automated and visualized baseline verification methodology.This approach significantly strengthens the security posture of domestic operating systems and supports the establishment of a more robust,national-level cybersecurity defense framework.展开更多
3D laser scanning technology is widely used in underground openings for high-precision,rapid,and nondestructive structural evaluations.Segmenting large 3D point cloud datasets,particularly in coal mine roadways with m...3D laser scanning technology is widely used in underground openings for high-precision,rapid,and nondestructive structural evaluations.Segmenting large 3D point cloud datasets,particularly in coal mine roadways with multi-scale targets,remains challenging.This paper proposes an enhanced segmentation method integrating improved PointNet++with a coverage-voted strategy.The coverage-voted strategy reduces data while preserving multi-scale target topology.The segmentation is achieved using an enhanced PointNet++algorithm with a normalization preprocessing head,resulting in a 94%accuracy for common supporting components.Ablation experiments show that the preprocessing head and coverage strategies increase segmentation accuracy by 20%and 2%,respectively,and improve Intersection over Union(IoU)for bearing plate segmentation by 58%and 20%.The accuracy of the current pretraining segmentation model may be affected by variations in surface support components,but it can be readily enhanced through re-optimization with additional labeled point cloud data.This proposed method,combined with a previously developed machine learning model that links rock bolt load and the deformation field of its bearing plate,provides a robust technique for simultaneously measuring the load of multiple rock bolts in a single laser scan.展开更多
Stroke remains a leading cause of death and disability worldwide,and electroacupuncture has a long history of use in stroke treatment.This meta-analysis and systematic review aimed to evaluate the efficacy of electroa...Stroke remains a leading cause of death and disability worldwide,and electroacupuncture has a long history of use in stroke treatment.This meta-analysis and systematic review aimed to evaluate the efficacy of electroacupuncture and explore its potential mechanisms in animal models of ischemic stroke.The PubMed,EMBASE,Web of Science,CENTRAL,and CINAHL databases were comprehensively searched up to May 1,2024.This review included articles on preclinical investigations of the efficacy and mechanisms of electroacupuncture in treating ischemic stroke.Data from 70 eligible studies were analyzed in Stata 18.0,using a random-effects model to calculate the standardized mean difference(Hedge’s g).The risk of bias was assessed using RevMan 5.4 software,and the quality of evidence was rated according to the Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)system.Subgroup analyses were conducted to test the consistency of the results and sensitivity analyses were used to assess their robustness.The quality assessment revealed that most studies adequately handled incomplete data and selective reporting.However,several methodological limitations were identified:only 4 studies demonstrated a low risk of allocation concealment,26 achieved a low risk of outcome assessment bias,and 9 had a high risk of randomization bias.Additionally,there was an unclear risk regarding participant blinding and other methodological aspects.The GRADE assessment rated 12 outcomes as moderate quality and 6 as low quality.The mechanisms of electroacupuncture treatment for ischemic stroke can be categorized as five primary pathways:(1)Electroacupuncture significantly reduced infarct volume and apoptotic cell death(P<0.01)in ischemic stroke models;(2)electroacupuncture significantly decreased the levels of pro-inflammatory factors(P<0.01)while increasing the levels of anti-inflammatory factors(P=0.02);(3)electroacupuncture reduced the levels of oxidative stress indicators(P<0.01)and enhanced the expression of antioxidant enzymes(P<0.01);(4)electroacupuncture significantly promoted nerve regeneration(P<0.01);and(5)electroacupuncture influenced blood flow remodeling(P<0.01)and angiogenesis(P<0.01).Subgroup analyses indicated that electroacupuncture was most effective in the transient middle cerebral artery occlusion model(P<0.01)and in post-middle cerebral artery occlusion intervention(P<0.01).Dispersive waves were found to outperform continuous waves with respect to neuroprotection and anti-inflammatory effects(P<0.01),while scalp acupoints demonstrated greater efficacy than body acupoints(P<0.01).The heterogeneity among the included studies was minimal,and sensitivity analyses indicated stable results.Their methodological quality was generally satisfactory.In conclusion,electroacupuncture is effective in treating cerebral ischemia by modulating cell apoptosis,oxidative stress,inflammation,stroke-induced nerve regeneration,blood flow remodeling,and angiogenesis.The efficacy of electroacupuncture may be influenced by factors such as the middle cerebral artery occlusion model,the timing of intervention onset,waveform,and acupoint selection.Despite the moderate to low quality of evidence,these findings suggest that electroacupuncture has clinical potential for improving outcomes in ischemic stroke.展开更多
In view of the phenomenon that the adhesion strength between the surface of polyacrylonitrile-butadiene-styrene-polycarbonate(ABS-PC)copolymer and the electroless copper plating layer is relatively low.To solve the pr...In view of the phenomenon that the adhesion strength between the surface of polyacrylonitrile-butadiene-styrene-polycarbonate(ABS-PC)copolymer and the electroless copper plating layer is relatively low.To solve the problems of poor surface wettability and low surface roughness of the ABS-PC substrate,the N,N-dimethylformamide(DMF)-ethanol(C_(2)H_(5)OH)-water(H_(2)O)system was employed as the swelling system for the ABS-PC substrate.The effects of the DMF volume fraction in the swelling system and the swelling time on the swelling effect of ABS-PC at 35℃were investigated.KMnO_(4)-H_(2)SO_(4)-H_(2)O system was used as the etching system for ABS-PC substrate under the conditions of the volume ratio of water to sulfuric acid of 1﹕2,with KMnO_(4)content of 30 g/L,etching temperature of 60℃,and etching time of 25 min.The results indicate that dense pores with uniform sized are formed on the surface of the ABS-PC substrate surface after swelling and etching treatments,accompanied by an increase in surface roughness when the swelling temperature is 35℃,the DMF volume fraction in the swelling system is 80%,and the swelling time is 5 min.Furthermore,the content of C element on the surface of the ABS-PC substrate decreased,while that of O element increased,and the surface hydrophilicity is enhanced,which is attributed to two hydrophilic groups,-C=O and-COOH,being generated on the ABS-PC substrate surface,significantly improving the wettability of the ABS-PC substrate surface.Under the combination effects of high surface roughness and strong surface hydrophilicity,the adhesion strength between the ABS-PC substrate surface and the electroless copper plating layer reached to 0.81 kN/m,meeting the adhesion strength requirement of 0.70 kN/m in the industrial production.展开更多
Dear Editor,In this letter,we focus on the algebraic relationship between the coefficient matrices and the solution of the stochastic algebraic Riccati equation.It is revealed that,if the coefficient matrices are in a...Dear Editor,In this letter,we focus on the algebraic relationship between the coefficient matrices and the solution of the stochastic algebraic Riccati equation.It is revealed that,if the coefficient matrices are in an algebra,then the solution(and also the control gain in many cases)is also in the same algebra.The main result is verified by a numerical simulation.展开更多
Reuse of irrigation water after appropriate filtration has emerged as one of the most important strategies for addressing global water scarcity and improving the sustainability of agricultural systems.This study revie...Reuse of irrigation water after appropriate filtration has emerged as one of the most important strategies for addressing global water scarcity and improving the sustainability of agricultural systems.This study reviews the research progress on filtration technologies and the reuse of secondary water through a comprehensive visual and bibliometric analysis of the relevant scientific literature.Using tools such as R Studio,VOSviewer,and the Bibliometrix R‐package,a total of 374 publications published between 2003 and 2024 were retrieved from the Web of Science database and systematically analyzed.The collected literature was examined with respect to publication trends,disciplinary distributions,leading journals,contributing countries,institutions,and authors.Additionally,an in-depth keyword analysis was conducted to explore co-occurrence networks,thematic clustering,and emerging research frontiers.The results indicate three distinct developmental stages in this field:a slow and exploratory phase beginning in 2003,followed by a period of moderate growth around 2013,and a rapid expansion phase that has been evident since 2018.Research outputs primarily span environmental sciences,engineering,water resources management,and agricultural sciences.The findings highlight an increasing global interest in sustainable water reuse and the need for continued innovation in filtration methods to enhance water quality and agricultural productivity.Future scientific efforts should emphasize the development of advanced,cost-effective filtration technologies,the reduction of environmental risks,and the promotion of large-scale water reuse practices to alleviate water shortages and support resilient agricultural systems.展开更多
The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare I...The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare IoT(H-IoT)technology,which also provides proactive statistical findings and precise medical diagnoses that enhance healthcare performance.This study examines how ML might support IoT-based health care systems,namely in the areas of prognostic systems,disease detection,patient tracking,and healthcare operations control.The study looks at the benefits and drawbacks of several machine learning techniques for H-IoT applications.It also examines the fundamental problems,such as data security and cyberthreats,as well as the high processing demands that these systems face.Alongside this,the essay discusses the advantages of all the technologies,including machine learning,deep learning,and the Internet of Things,as well as the significant difficulties and problems that arise when integrating the technology into healthcare forecasts.展开更多
Polygonal fault systems(PFS),characterized by multi-directional fault patterns within layered sequences,are well-documented features in global continental margin basins.While the geometry and formation mechanisms of P...Polygonal fault systems(PFS),characterized by multi-directional fault patterns within layered sequences,are well-documented features in global continental margin basins.While the geometry and formation mechanisms of PFS have been extensively studied in the northern South China Sea,the PFS in the Zhongjiannan Basin(western South China Sea)remain relatively unexplored,with a lack of quantitative analysis regarding their propagation.This study addresses this gap by using high-resolution three-dimensional(3D)seismic data and conducting a quantitative fault analysis to thoroughly examine the planform,cross-sectional geometry,and evolution of PFS in the northern Zhongjiannan Basin.The absence of a dominant strike direction among these polygonal faults suggests that their evolution is not controlled by anisotropic stress.Our interpretation of seismic data,constrained by the spatial relationship among PFS,gullies,and pockmarks,indicates that PFS mainly developed within the Miocene strata,with their initiation occurring during the late Miocene.Furthermore,the PFS act as key conduits connecting gullies to pockmarks in this area.The formation and development of PFS may be primarily driven by thermally triggered processes within siliceous sediments.The necessary heat source is probably associated with the abundant submarine magmatism observed in the Zhongjiannan Basin.To reconstruct the regional geological history,a four-stage evolutionary model,incorporating the formation of PFS,is presented.This research significantly improves our understanding of the regional geological evolution of the Zhongjiannan Basin,providing critical insights into the initiation and development of PFS in the western South China Sea.展开更多
Taking the Changli Institute of Pomology,Hebei Academy of Agriculture and Forestry Sciences(hereinafter referred to as the Changli Institute of Pomology)as a case study,this paper explores the practical pathways throu...Taking the Changli Institute of Pomology,Hebei Academy of Agriculture and Forestry Sciences(hereinafter referred to as the Changli Institute of Pomology)as a case study,this paper explores the practical pathways through which Party building leads to the high-quality development of fruit tree research from three dimensions:theoretical convergence points,current development status,and functional mechanisms.It proposes that Party building should focus on its core roles of steering political direction,enhancing team cohesion,and upholding ethical standards.Deep integration of Party building and scientific research should be achieved through concrete platforms,with the effectiveness measured by breakthroughs in critical"bottleneck"technologies and increased income for fruit growers.The study aims to provide a practical reference for integrating Party building with professional work in the agricultural research sector.展开更多
N,N,N',N'-tetraoctyl diglycolamide(TODGA)is a potential extractant for the co-extraction of lanthanides and actinides in high-level liquid waste.In this study,the radiolysis and extraction properties of TODGA ...N,N,N',N'-tetraoctyl diglycolamide(TODGA)is a potential extractant for the co-extraction of lanthanides and actinides in high-level liquid waste.In this study,the radiolysis and extraction properties of TODGA in kerosene solvents contacted with the aqueous phase of varying HNO_(3) concentrations were systematically investigated,and the complexation mechanism was analyzed in conjunction with density functional theory(DFT)calculations.After γ-irradiation,the variation of TODGA concentration was detected,and the variation trends in the relative content of radiolysis products(RPs)with sample type and absorbed dose were demonstrated.Results indicated that the breaking of the amide bond,ether bond,and C_(amide)-C_(ether)bond was the primary radiolysis routes.The aqueous-phase precipitate was studied as a potential new mode of TODGA radiolysis in ultrapure water aqueous phase.Moreover,TODGA/kerosene exhibited excellent extraction capabilities for lanthanides even after absorbing 100 kGy,and HNO_(3) can maintain a portion of TODGA's extraction capacity.The DFT method was applied to calculate and evaluate the complexing ability of TODGA and some of its RPs toward lanthanides.The results revealed that the complexing ability of TODGA for Ce(Ⅲ),Eu(Ⅲ),and Dy(Ⅲ)was enhanced successively,and the complexing ability of the RPs with intact oxygen-containing structures could not be neglected.展开更多
Ceratopteris thalictroides (L.) Brongn (C. thalictroides), a fern from the Pteridaceae family, isan edible species that remains largely underutilized, even though it possesses a diverserange of applications. This revi...Ceratopteris thalictroides (L.) Brongn (C. thalictroides), a fern from the Pteridaceae family, isan edible species that remains largely underutilized, even though it possesses a diverserange of applications. This review aims to provide a comprehensive overview of itsgeographical distribution, ethnomedicinal applications, phytochemical constituents,pharmacological activities, and ecological importance. Various phytochemical analysesidentified the presence of phenols, flavonoids, alkaloids, terpenoids, and fatty acids from C.thalictroides, responsible for its multiple pharmacological properties, including antioxidant,antimicrobial, anti-inflammatory, anti-diabetic, and anticancer activities. Additionally, itsunique antheridiogen activity makes it a valuable model organism for plant genetics andreproductive studies. This review systematically summarizes the phytopharmacologicalpotential and ecological significance of C. thalictroides. The plant holds promise as a sourceof novel therapeutics and as a sustainable bioresource for pharmaceutical andenvironmental applications.展开更多
Also known as imaging spectroscopy,hyperspectral remote sensing is becoming a key technology for ecosystem and natural resource management sustainability.Hyperspectral observations can be used to measure tens to hundr...Also known as imaging spectroscopy,hyperspectral remote sensing is becoming a key technology for ecosystem and natural resource management sustainability.Hyperspectral observations can be used to measure tens to hundreds of narrow bands of reflected radiation to resolve diagnostic absorption bands and spectral shape variations associated with vegetation pigments,water status of the canopy,biochemical composition,mineralogies,and organic matter of the soil,and water quality constituents of aquatic water.These abilities allow one to make a transition between the descriptive mapping and the functional monitoring,the anticipation of stress and disturbance early,and the more accurate attribution of environmental change.This summary encompasses improvements on the entire sensor-to-product pipeline,including field and UAV(Unmanned Aerial Vehicle)system platform developments,airborne campaign and spaceborne mission developments,calibration and analysis-ready preprocessing improvements,empirical learning methodology improvements,radiative transfer-based inversion method,spectral unmixing,deep learning,and hybrid physics-machine learning.We underline the increased importance of the combination of data with LiDAR(Light Detection and Ranging),SAR(Synthetic Aperture Radar),and thermal features aimed at decreasing the level of ambiguity and enhancing operational resilience.Applications based on decision are evaluated in terms of biodiversity and habitat evaluation,vegetation functionality and restoration,stress and disturbance,sustainable agricultural production,inland water quality and coastal water quality,land degradation and soil status,and environmental impact assessment.Inhibiting factors to operational adoption have always been perceived to be domain shift by region,season,and sensor,ground truth and validation,mixed pixels and scale mismatch,preprocessing sensitivities,and desirable uncertainty quantification and product output that is interpretable.We conclude with the scalability,sustainability,service priorities,such as harmonization standards,representative benchmarking,uncertainty-aware delivery,and co-design of stakeholders.展开更多
A wind-turbine power system is often challenged by voltage instability,reactive power imbalance,and limited fault ride-through capability under grid disturbances.Doubly Fed Induction Generator based wind farms,owing t...A wind-turbine power system is often challenged by voltage instability,reactive power imbalance,and limited fault ride-through capability under grid disturbances.Doubly Fed Induction Generator based wind farms,owing to their partial coupling with the grid,are particularly vulnerable to voltage dips and excessive reactive power absorption during fault events.This study proposes an adaptive control strategy based on Model Reference Adaptive Control integrated with stator flux-oriented vector control to regulate active and reactive power of a DFIG-based wind farm connected to a standard IEEE 9-bus power system under fault conditions.The proposed control scheme is developed and validated using detailed MATLAB/Simulink modeling under normal operation,symmetrical three-phase fault conditions,and post-fault recovery scenarios.A three-phase-to-ground fault is applied at the wind farm interconnection bus for a duration of 150 ms to evaluate transient performance.Simulation results demonstrate that the adaptive controller ensures fast power tracking,effective reactive power support,and enhanced voltage recovery compared to a conventional proportional–integral controller.Quantitatively,the proposed method improves voltage recovery time by approximately 45%,reduces active power overshoot by 38%,and lowers total harmonic distortion by 52% following fault clearance.Furthermore,the adaptive controller maintains stable operation under variations in wind speed and machine parameters without requiring retuning,highlighting its robustness against system uncertainties.The results confirm that the proposed control strategy significantly enhances fault ride-through capability,power quality,and dynamic stability of grid-interfaced wind farms.These findings demonstrate the practical applicability of adaptive control techniques for improving the reliability and resilience of modern power systems with high wind energy penetration.展开更多
The Hai Phong-Ha Long coastal area,with its World Natural Heritage site of Ha Long Bay-Cat Ba islands,has been under intense pressure from rapid development to meet the socio-economic goals set by Hai Phong City and Q...The Hai Phong-Ha Long coastal area,with its World Natural Heritage site of Ha Long Bay-Cat Ba islands,has been under intense pressure from rapid development to meet the socio-economic goals set by Hai Phong City and Quang Ninh Province.As such,urgent land needs for infrastructure construction of economic sectors and urbanization have led to intensive coastal reclamation and seafill leveling,and their environmental consequences.The objective of this study is to assess the adverse environmental effects of coastal reclamation in the Hai Phong—Ha Long area,focusing on ecosystems,environmental quality,and seabed morphology at a regional scale.To achieve this objective,the study employed the regular techniques of environmental assessment methods,such as checklists,matrices,network diagrams,and overlay maps,to appraise these environmental consequences.The results show three main impacted natural components,including coastal ecosystems,environmental qualities,and morphological seabeds,besides coastline changes and socio-economic issues.The most impacted component was coastal ecosystems,followed by the coastal environmental qualities of seawater and sediments,and then the morphological seabed.Based on the study results,it is recommended that during the development of an integrated coastal management plan for the coastal area of Hai Phong–Ha Long,environmental issues of coastal reclamation and seafill leveling must be given much attention.展开更多
Colorectal cancer(CRC)is one of the most molecularly heterogeneous malignancies,with complexity that extends far beyond traditional histopathological classifications.The consensus molecular subtypes(CMS)established in...Colorectal cancer(CRC)is one of the most molecularly heterogeneous malignancies,with complexity that extends far beyond traditional histopathological classifications.The consensus molecular subtypes(CMS)established in 2015 brought a marked advancement in the taxonomy of CRC,consolidating six classification systems into four novel subtypes,which focus on vital gene expression patterns and clinical and prognostic outcomes.However,nearly a decade of clinical experience with CMS classification has revealed fundamental limitations that underscore the inadequacy of any single classification system for capturing the full spectrum of CRC biology.The inherent challenges of the current paradigm are multifaceted.In the CMS classification,mixed phenotypes that remain unclassifiable constitute 13%of CRC cases.This reflects the remarkable heterogeneity that CRC shows.The tumor budding regions reflect the molecular shift due to CMS 2 to CMS 4 switching,causing further heterogeneity.Moreover,the reliance on bulk RNA sequencing fails to capture the spatial organization of molecular signatures within tumors and the critical contributions of the tumor microenvironment.Recent technological advances in spatial transcriptomics,singlecell RNA sequencing,and multi-omic integration have revealed the limitations of transcriptome-only classifications.The emergence of CRC intrinsic subtypes that attempt to remove microenvironmental contributions,pathway-derived subtypes,and stem cell-based classifications demonstrates the field’s recognition that multiple complementary classification systems are necessary.These newer molecular subtypes are not discrete categories but biological continua,thus highlighting that the vast molecular landscape is a tapestry of interlinked features,not rigid subtypes.Multiple technical hurdles cause difficulty in implementing the clinical translation of these newer molecular subtypes,including gene signature complexity,platform-dependent variations,and the difficulty of getting and preserving fresh frozen tissue.CMS 4 shows a poor prognostic outcome among the CMS subtypes,while CMS 1 is associated with poor survival in metastatic cases.However,the predictive value for definitive therapy remains subdued.Looking forward,the integration of artificial intelligence,liquid biopsy approaches,and real-time molecular monitoring promises to enable dynamic,multi-dimensional tumor characterization.The temporal and spatial complexity can only be captured by complementary molecular taxonomies rather than a single,unified system of CRC classification.Such an approach recognizes that different clinical questions–prognosis,treatment selection,resistance prediction–may require different molecular lenses,each optimized for specific clinical applications.This editorial advocates for a revolutionary change from pursuing a single“best”classification system toward a diverse approach that welcomes the molecular mosaic of CRC.Only through such comprehensive molecular characterization can we hope to achieve the promise of precision oncology for the diverse spectrum of patients with CRC.展开更多
This study presents an integrated assessment of sedimentological,granulometric,physico-chemical,and biological characteristics in three Romanian coastal lakes,based on 2022 field surveys.A total of 59 sediment samples...This study presents an integrated assessment of sedimentological,granulometric,physico-chemical,and biological characteristics in three Romanian coastal lakes,based on 2022 field surveys.A total of 59 sediment samples were analyzed lithologically and granulometrically,and 12 were examined for macrozoobenthic community composition.Water samples were assessed for nutrient and pigment concentrations to evaluate trophic status and ecological condition.Sediments were predominantly silty-clayey,indicating low-energy depositional environments.Organic matter content was highest in Lakes Agigea and Tuzla,suggesting enhanced primary productivity and organic detritus accumulation,while Lake Costinești showed higher biogenic carbonate content from mollusc shells.Macrozoobenthic assemblages were dominated by taxa tolerant to organic enrichment and hypoxia,including Chironomidae larvae,Oligochaeta,and Cyprideis torosa.Water quality analysis indicated good ecological status in Agigea Lake,whereas Tuzla Lake was severely eutrophic,with phosphate and nitrite in Class Ⅳ and chlorophyll-a exceeding Class Ⅴ thresholds(>250μg/L),consistent with cyanobacterial blooms.Elevated sulfate(Class Ⅲ)and suspended solids further impaired Tuzla’s transparency.In Costinești,marine taxa presence and variable salinity reflected periodic seawater exchange.Anthropogenic influences were evident-nutrient enrichment from fisheries in Tuzla and marine species introduction in Costinești-highlighting system vulnerability to human pressure.The integration of sediment,water quality,and biological indicators emphasizes the need for continuous,interdisciplinary monitoring to track ecological shifts,support adaptive management,and conserve biodiversity and ecosystem integrity in Romanian coastal lakes.展开更多
Northwest China serves as a critical ecological barrier region for maintaining national water,energy,and food security,as well as transboundary ecological governance.However,under the dual pressures of climate change ...Northwest China serves as a critical ecological barrier region for maintaining national water,energy,and food security,as well as transboundary ecological governance.However,under the dual pressures of climate change and human activities,ecosystem services(ESs)are facing severe challenges in this region.Based on multi-source remote sensing and statistical data during 2000–2020,this study investigated the spatiotemporal evolution characteristics of four key ESs(water yield,habitat quality,carbon storage,and food provisioning)in Northwest China using the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model.Integrating morphological spatial pattern analysis(MSPA)and circuit theory,we identified ecological sources,corridors,pinch points,and barriers,and further designed three optimization scenarios(bottleneck optimization,high-resistance corridor buffering,and barrier removal optimization)to enhance landscape connectivity.The results revealed that ES supply and demand exhibited marked spatial heterogeneity,with high-supply areas concentrated in the southeastern sectors.Ecological sources primarily distributed in the southeastern and northern sectors,and ecological resistance surfaces continuously intensified.Water yield and habitat quality demands were increasing,food provisioning demand was decreasing,and carbon storage demand was surging.A total of 61 ecological sources(8%of the study area),142 ecological corridors(24,957 km in total length),237 ecological pinch points,and 89 barrier zones were identified.Among the three optimization scenarios,barrier removal achieved optimal connectivity improvement across all distance thresholds,with the probability of connectivity index improvement reaching up to 4%.This study provides scientific foundations and spatial decision support for ecological network optimization and sustainable governance in arid and semi-arid areas.展开更多
Understanding the scale-dependent dynamics of ecosystem services(ESs)and their socio-ecological drivers is essential for sustainable development.While many studies rely on static or single-scale approaches,this resear...Understanding the scale-dependent dynamics of ecosystem services(ESs)and their socio-ecological drivers is essential for sustainable development.While many studies rely on static or single-scale approaches,this research employs an integrated multi-temporal(2000–2020)and multi-scale(grid,county,and landscape levels)framework to investigate China’s Central Asian frontier,a representative dryland region.We quantified six ESs:habitat quality(HQ),net primary productivity(NPP),carbon sequestration(CS),water yield(WY),soil conservation(SC),and grain production(GP).Furthermore,we explored their interrelationships and identified the drivers influencing these services across different spatial scales.Our results revealed divergent ES trajectories:the declining HQ(−0.03 a^(−1)),NPP(−0.43 t km^(−2)a^(−1)),and SC(−3.41 t ha a^(−1))contrasted with rising WY(+2.33 mm a^(−1)),GP(+0.06 t km^(−2)a^(−1)),and CS(+0.02 t km^(−2)a^(−1)).The ES relationships were predominantly synergistic,while HQ–WY exhibited a trade-off(grid:−0.03;county:−0.02;landscape:−0.03)at temporal dimension but a synergistic relationship(grid:0.45;county:0.92;landscape:0.92)at spatial dimension.As spatial scale increased,SC–CS shifted from synergy(grid:0.001)to trade-off(county:−0.01;landscape:−0.005)in the temporal dimension,while all trade-off relationships in the spatial dimension were transformed into synergies.Key drivers of ES relationships varied with spatial scale:fraction vegetation coverage(FVC)and leaf area index(LAI)at the grid scale,annual precipitation(MAP)and soil moisture(SMA)at the county scale,and population density(POP),gross domestic product(GDP),and silt content(Silt)at the landscape scale.Based on the multi-scale findings,the study divides northern Xinjiang into Grain Priority Region,Ecological Priority Region,and Desert Containment Region,and proposes tailored management recommendations,offering a flexible framework for balancing ecological and socioeconomic needs.展开更多
Pulmonary rehabilitation(PR)aims to improve lung function in patients with chronic respiratory disease(CRD).In recent years,significant advancements have been made in pulmonary rehabilitation technologies,demonstratin...Pulmonary rehabilitation(PR)aims to improve lung function in patients with chronic respiratory disease(CRD).In recent years,significant advancements have been made in pulmonary rehabilitation technologies,demonstrating their potential for enhancing lung function in patients with respiratory diseases.The purpose of this study is to outline recent developments in the field of pulmonary rehabilitation guided by pulmonary rehabilitation robots,which has not been previously addressed in earlier reviews.To fill this gap,this paper first provides a systematic summary of the monitoring and actuation technologies of pulmonary rehabilitation robot systems and evaluates these technologies from multiple dimensions,including portability,wearability potential,invasiveness,and clinical applications,analyzing the potential for integrating various technologies into pulmonary rehabilitation robot systems.Furthermore,three technical directions are proposed:real-time precise monitoring,suitable structure and actuation strategies,and the intelligence of pulmonary rehabilitation robot systems.On the basis of these directions,this paper presents a comprehensive technical outlook for a soft wearable pulmonary rehabilitation robot system,providing reference and guidance for future research.To our knowledge,this is the first review of pulmonary rehabilitation robot systems and their key technologies.Additionally,the review section on respiratory assistive technologies simultaneously covers key technologies such as mechanical ventilation(MV),exoskeleton robots,and functional electrical stimulation(FES)for the first time.It also summarizes the respiratory assistive technology paradigm from the innovative perspectives of respiratory assistive modalities,targeted body sites,and types of ventilation for the first time.This study offers a broader perspective and a deeper understanding of pulmonary re-habilitation robots,with a technical outlook encompassing multimodal data fusion perception,respiratory event detection and intention recognition,full-phase assistance strategies,modeling,decoupling,and quantification of multipleinput multiple-output(MIMO)systems,as well as model-based interactive control strategies.展开更多
Large-scale complex systems are integral to the functioning of various organizations within the national economy.Despite their significance,the lengthy construction cycles and the involvement of multiple entities ofte...Large-scale complex systems are integral to the functioning of various organizations within the national economy.Despite their significance,the lengthy construction cycles and the involvement of multiple entities often result in the deprioritization of standardized management practices,as they do not yield immediate benefits.The implementation of such systems typically encompasses the integrated phases of "development,construction,utiliz ation,and operation and maintenance".To enhance the overall delivery quality of these systems,it is imperative to dismantle the management barriers among these phases and adopt a holistic approach to standardized management.This paper takes a specific system project as a research object to identify common challenges,and proposes improvement strategies in the implementation of standar dized management.Empirical results indicate a substantial reduction in the system s full-lifecycle costs.展开更多
基金supported by scientific research projects of China Academy of Railway Sciences Co.,Ltd.(grant no.2024YJ117).
文摘Purpose-Amidst an increasingly severe cybersecurity landscape,the widespread adoption of Xinchuang endpoints has become a strategic imperative.Governments and enterprises have established terminal localization as a critical objective,aiming for comprehensive indigenous replacement through rapid technological iteration.Consequently,Xinchuang systems and Windows platforms are expected to coexist over an extended period.This study seeks to establish an automated verification framework for multi-version operating systems and validate the efficacy of baseline hardening in mitigating security risks.Design/methodology/approach-Based on the Classified Protection 2.0 framework and relevant national standards for endpoint security,this study proposes an endpoint security baseline verification scheme applicable to multiple operating systems.The scheme addresses divergent security policies and implementation methodologies across heterogeneous environments.It automates the inspection of core baselines,including account password complexity,default shared service status and patch installation status.Furthermore,a comprehensive scoring model is established by incorporating differentiated weights for account security,patch management and log auditing,ultimately generating visualized risk reports to facilitate remediation prioritization.Findings-This study reveals that baseline configuration serves as the fundamental prerequisite in endpoint security practices.Through a scalable detection engine and quantitative scoring model,the system can promptly identify and remediate potential risks,thereby reducing the attack surface and mitigating intrusion risks.However,on certain domestic chip architectures,compatibility issues persist in detecting specific configuration items.Further improvement in hardware-software co-adaptation for domestic platforms is required to advance the development of localized security protection systems.Originality/value-Through in-depth research on security baseline configurations across multiple operating systems,this study implements an automated and visualized baseline verification methodology.This approach significantly strengthens the security posture of domestic operating systems and supports the establishment of a more robust,national-level cybersecurity defense framework.
基金supported by the National Natural Science Foundation of China(Grant Nos.52304139,52325403)the CCTEG Coal Mining Research Institute funding(Grant No.KCYJY-2024-MS-10).
文摘3D laser scanning technology is widely used in underground openings for high-precision,rapid,and nondestructive structural evaluations.Segmenting large 3D point cloud datasets,particularly in coal mine roadways with multi-scale targets,remains challenging.This paper proposes an enhanced segmentation method integrating improved PointNet++with a coverage-voted strategy.The coverage-voted strategy reduces data while preserving multi-scale target topology.The segmentation is achieved using an enhanced PointNet++algorithm with a normalization preprocessing head,resulting in a 94%accuracy for common supporting components.Ablation experiments show that the preprocessing head and coverage strategies increase segmentation accuracy by 20%and 2%,respectively,and improve Intersection over Union(IoU)for bearing plate segmentation by 58%and 20%.The accuracy of the current pretraining segmentation model may be affected by variations in surface support components,but it can be readily enhanced through re-optimization with additional labeled point cloud data.This proposed method,combined with a previously developed machine learning model that links rock bolt load and the deformation field of its bearing plate,provides a robust technique for simultaneously measuring the load of multiple rock bolts in a single laser scan.
基金supported by the National Natural Science Foundation of China,Nos.82174496(to NW),82374574(to NW),82302865(to LL)Shanghai Science and Technology Committee Sailing Program,Nos.23YF1403800(to LL),23YF1405200(to YX)Shanghai Hospital Development Center Foundation-Shanghai Municipal Hospital Rehabilitation Medicine Specialty Alliance,No.SHDC22023304(to YW).
文摘Stroke remains a leading cause of death and disability worldwide,and electroacupuncture has a long history of use in stroke treatment.This meta-analysis and systematic review aimed to evaluate the efficacy of electroacupuncture and explore its potential mechanisms in animal models of ischemic stroke.The PubMed,EMBASE,Web of Science,CENTRAL,and CINAHL databases were comprehensively searched up to May 1,2024.This review included articles on preclinical investigations of the efficacy and mechanisms of electroacupuncture in treating ischemic stroke.Data from 70 eligible studies were analyzed in Stata 18.0,using a random-effects model to calculate the standardized mean difference(Hedge’s g).The risk of bias was assessed using RevMan 5.4 software,and the quality of evidence was rated according to the Grading of Recommendations,Assessment,Development,and Evaluation(GRADE)system.Subgroup analyses were conducted to test the consistency of the results and sensitivity analyses were used to assess their robustness.The quality assessment revealed that most studies adequately handled incomplete data and selective reporting.However,several methodological limitations were identified:only 4 studies demonstrated a low risk of allocation concealment,26 achieved a low risk of outcome assessment bias,and 9 had a high risk of randomization bias.Additionally,there was an unclear risk regarding participant blinding and other methodological aspects.The GRADE assessment rated 12 outcomes as moderate quality and 6 as low quality.The mechanisms of electroacupuncture treatment for ischemic stroke can be categorized as five primary pathways:(1)Electroacupuncture significantly reduced infarct volume and apoptotic cell death(P<0.01)in ischemic stroke models;(2)electroacupuncture significantly decreased the levels of pro-inflammatory factors(P<0.01)while increasing the levels of anti-inflammatory factors(P=0.02);(3)electroacupuncture reduced the levels of oxidative stress indicators(P<0.01)and enhanced the expression of antioxidant enzymes(P<0.01);(4)electroacupuncture significantly promoted nerve regeneration(P<0.01);and(5)electroacupuncture influenced blood flow remodeling(P<0.01)and angiogenesis(P<0.01).Subgroup analyses indicated that electroacupuncture was most effective in the transient middle cerebral artery occlusion model(P<0.01)and in post-middle cerebral artery occlusion intervention(P<0.01).Dispersive waves were found to outperform continuous waves with respect to neuroprotection and anti-inflammatory effects(P<0.01),while scalp acupoints demonstrated greater efficacy than body acupoints(P<0.01).The heterogeneity among the included studies was minimal,and sensitivity analyses indicated stable results.Their methodological quality was generally satisfactory.In conclusion,electroacupuncture is effective in treating cerebral ischemia by modulating cell apoptosis,oxidative stress,inflammation,stroke-induced nerve regeneration,blood flow remodeling,and angiogenesis.The efficacy of electroacupuncture may be influenced by factors such as the middle cerebral artery occlusion model,the timing of intervention onset,waveform,and acupoint selection.Despite the moderate to low quality of evidence,these findings suggest that electroacupuncture has clinical potential for improving outcomes in ischemic stroke.
文摘In view of the phenomenon that the adhesion strength between the surface of polyacrylonitrile-butadiene-styrene-polycarbonate(ABS-PC)copolymer and the electroless copper plating layer is relatively low.To solve the problems of poor surface wettability and low surface roughness of the ABS-PC substrate,the N,N-dimethylformamide(DMF)-ethanol(C_(2)H_(5)OH)-water(H_(2)O)system was employed as the swelling system for the ABS-PC substrate.The effects of the DMF volume fraction in the swelling system and the swelling time on the swelling effect of ABS-PC at 35℃were investigated.KMnO_(4)-H_(2)SO_(4)-H_(2)O system was used as the etching system for ABS-PC substrate under the conditions of the volume ratio of water to sulfuric acid of 1﹕2,with KMnO_(4)content of 30 g/L,etching temperature of 60℃,and etching time of 25 min.The results indicate that dense pores with uniform sized are formed on the surface of the ABS-PC substrate surface after swelling and etching treatments,accompanied by an increase in surface roughness when the swelling temperature is 35℃,the DMF volume fraction in the swelling system is 80%,and the swelling time is 5 min.Furthermore,the content of C element on the surface of the ABS-PC substrate decreased,while that of O element increased,and the surface hydrophilicity is enhanced,which is attributed to two hydrophilic groups,-C=O and-COOH,being generated on the ABS-PC substrate surface,significantly improving the wettability of the ABS-PC substrate surface.Under the combination effects of high surface roughness and strong surface hydrophilicity,the adhesion strength between the ABS-PC substrate surface and the electroless copper plating layer reached to 0.81 kN/m,meeting the adhesion strength requirement of 0.70 kN/m in the industrial production.
文摘Dear Editor,In this letter,we focus on the algebraic relationship between the coefficient matrices and the solution of the stochastic algebraic Riccati equation.It is revealed that,if the coefficient matrices are in an algebra,then the solution(and also the control gain in many cases)is also in the same algebra.The main result is verified by a numerical simulation.
文摘Reuse of irrigation water after appropriate filtration has emerged as one of the most important strategies for addressing global water scarcity and improving the sustainability of agricultural systems.This study reviews the research progress on filtration technologies and the reuse of secondary water through a comprehensive visual and bibliometric analysis of the relevant scientific literature.Using tools such as R Studio,VOSviewer,and the Bibliometrix R‐package,a total of 374 publications published between 2003 and 2024 were retrieved from the Web of Science database and systematically analyzed.The collected literature was examined with respect to publication trends,disciplinary distributions,leading journals,contributing countries,institutions,and authors.Additionally,an in-depth keyword analysis was conducted to explore co-occurrence networks,thematic clustering,and emerging research frontiers.The results indicate three distinct developmental stages in this field:a slow and exploratory phase beginning in 2003,followed by a period of moderate growth around 2013,and a rapid expansion phase that has been evident since 2018.Research outputs primarily span environmental sciences,engineering,water resources management,and agricultural sciences.The findings highlight an increasing global interest in sustainable water reuse and the need for continued innovation in filtration methods to enhance water quality and agricultural productivity.Future scientific efforts should emphasize the development of advanced,cost-effective filtration technologies,the reduction of environmental risks,and the promotion of large-scale water reuse practices to alleviate water shortages and support resilient agricultural systems.
文摘The integration of machine learning(ML)technology with Internet of Things(IoT)systems produces essential changes in healthcare operations.Healthcare personnel can track patients around the clock thanks to healthcare IoT(H-IoT)technology,which also provides proactive statistical findings and precise medical diagnoses that enhance healthcare performance.This study examines how ML might support IoT-based health care systems,namely in the areas of prognostic systems,disease detection,patient tracking,and healthcare operations control.The study looks at the benefits and drawbacks of several machine learning techniques for H-IoT applications.It also examines the fundamental problems,such as data security and cyberthreats,as well as the high processing demands that these systems face.Alongside this,the essay discusses the advantages of all the technologies,including machine learning,deep learning,and the Internet of Things,as well as the significant difficulties and problems that arise when integrating the technology into healthcare forecasts.
基金financially supported by the National Key Research and Development Program of China(No.2021YFC3100700)the National Natural Science Foundation of China(No.42376070)+1 种基金the Natural Science Foundation of Guangdong Province(No.2024A1515012371)the Rising Star Foundation of the South China Sea Institute of Oceanology(No.NHXX2019DZ0201)。
文摘Polygonal fault systems(PFS),characterized by multi-directional fault patterns within layered sequences,are well-documented features in global continental margin basins.While the geometry and formation mechanisms of PFS have been extensively studied in the northern South China Sea,the PFS in the Zhongjiannan Basin(western South China Sea)remain relatively unexplored,with a lack of quantitative analysis regarding their propagation.This study addresses this gap by using high-resolution three-dimensional(3D)seismic data and conducting a quantitative fault analysis to thoroughly examine the planform,cross-sectional geometry,and evolution of PFS in the northern Zhongjiannan Basin.The absence of a dominant strike direction among these polygonal faults suggests that their evolution is not controlled by anisotropic stress.Our interpretation of seismic data,constrained by the spatial relationship among PFS,gullies,and pockmarks,indicates that PFS mainly developed within the Miocene strata,with their initiation occurring during the late Miocene.Furthermore,the PFS act as key conduits connecting gullies to pockmarks in this area.The formation and development of PFS may be primarily driven by thermally triggered processes within siliceous sediments.The necessary heat source is probably associated with the abundant submarine magmatism observed in the Zhongjiannan Basin.To reconstruct the regional geological history,a four-stage evolutionary model,incorporating the formation of PFS,is presented.This research significantly improves our understanding of the regional geological evolution of the Zhongjiannan Basin,providing critical insights into the initiation and development of PFS in the western South China Sea.
基金Supported by Qinhuangdao Social Sciences Development Research Project(2025LX378).
文摘Taking the Changli Institute of Pomology,Hebei Academy of Agriculture and Forestry Sciences(hereinafter referred to as the Changli Institute of Pomology)as a case study,this paper explores the practical pathways through which Party building leads to the high-quality development of fruit tree research from three dimensions:theoretical convergence points,current development status,and functional mechanisms.It proposes that Party building should focus on its core roles of steering political direction,enhancing team cohesion,and upholding ethical standards.Deep integration of Party building and scientific research should be achieved through concrete platforms,with the effectiveness measured by breakthroughs in critical"bottleneck"technologies and increased income for fruit growers.The study aims to provide a practical reference for integrating Party building with professional work in the agricultural research sector.
文摘N,N,N',N'-tetraoctyl diglycolamide(TODGA)is a potential extractant for the co-extraction of lanthanides and actinides in high-level liquid waste.In this study,the radiolysis and extraction properties of TODGA in kerosene solvents contacted with the aqueous phase of varying HNO_(3) concentrations were systematically investigated,and the complexation mechanism was analyzed in conjunction with density functional theory(DFT)calculations.After γ-irradiation,the variation of TODGA concentration was detected,and the variation trends in the relative content of radiolysis products(RPs)with sample type and absorbed dose were demonstrated.Results indicated that the breaking of the amide bond,ether bond,and C_(amide)-C_(ether)bond was the primary radiolysis routes.The aqueous-phase precipitate was studied as a potential new mode of TODGA radiolysis in ultrapure water aqueous phase.Moreover,TODGA/kerosene exhibited excellent extraction capabilities for lanthanides even after absorbing 100 kGy,and HNO_(3) can maintain a portion of TODGA's extraction capacity.The DFT method was applied to calculate and evaluate the complexing ability of TODGA and some of its RPs toward lanthanides.The results revealed that the complexing ability of TODGA for Ce(Ⅲ),Eu(Ⅲ),and Dy(Ⅲ)was enhanced successively,and the complexing ability of the RPs with intact oxygen-containing structures could not be neglected.
基金support and library facilities in accomplishing this part of the study.
文摘Ceratopteris thalictroides (L.) Brongn (C. thalictroides), a fern from the Pteridaceae family, isan edible species that remains largely underutilized, even though it possesses a diverserange of applications. This review aims to provide a comprehensive overview of itsgeographical distribution, ethnomedicinal applications, phytochemical constituents,pharmacological activities, and ecological importance. Various phytochemical analysesidentified the presence of phenols, flavonoids, alkaloids, terpenoids, and fatty acids from C.thalictroides, responsible for its multiple pharmacological properties, including antioxidant,antimicrobial, anti-inflammatory, anti-diabetic, and anticancer activities. Additionally, itsunique antheridiogen activity makes it a valuable model organism for plant genetics andreproductive studies. This review systematically summarizes the phytopharmacologicalpotential and ecological significance of C. thalictroides. The plant holds promise as a sourceof novel therapeutics and as a sustainable bioresource for pharmaceutical andenvironmental applications.
文摘Also known as imaging spectroscopy,hyperspectral remote sensing is becoming a key technology for ecosystem and natural resource management sustainability.Hyperspectral observations can be used to measure tens to hundreds of narrow bands of reflected radiation to resolve diagnostic absorption bands and spectral shape variations associated with vegetation pigments,water status of the canopy,biochemical composition,mineralogies,and organic matter of the soil,and water quality constituents of aquatic water.These abilities allow one to make a transition between the descriptive mapping and the functional monitoring,the anticipation of stress and disturbance early,and the more accurate attribution of environmental change.This summary encompasses improvements on the entire sensor-to-product pipeline,including field and UAV(Unmanned Aerial Vehicle)system platform developments,airborne campaign and spaceborne mission developments,calibration and analysis-ready preprocessing improvements,empirical learning methodology improvements,radiative transfer-based inversion method,spectral unmixing,deep learning,and hybrid physics-machine learning.We underline the increased importance of the combination of data with LiDAR(Light Detection and Ranging),SAR(Synthetic Aperture Radar),and thermal features aimed at decreasing the level of ambiguity and enhancing operational resilience.Applications based on decision are evaluated in terms of biodiversity and habitat evaluation,vegetation functionality and restoration,stress and disturbance,sustainable agricultural production,inland water quality and coastal water quality,land degradation and soil status,and environmental impact assessment.Inhibiting factors to operational adoption have always been perceived to be domain shift by region,season,and sensor,ground truth and validation,mixed pixels and scale mismatch,preprocessing sensitivities,and desirable uncertainty quantification and product output that is interpretable.We conclude with the scalability,sustainability,service priorities,such as harmonization standards,representative benchmarking,uncertainty-aware delivery,and co-design of stakeholders.
文摘A wind-turbine power system is often challenged by voltage instability,reactive power imbalance,and limited fault ride-through capability under grid disturbances.Doubly Fed Induction Generator based wind farms,owing to their partial coupling with the grid,are particularly vulnerable to voltage dips and excessive reactive power absorption during fault events.This study proposes an adaptive control strategy based on Model Reference Adaptive Control integrated with stator flux-oriented vector control to regulate active and reactive power of a DFIG-based wind farm connected to a standard IEEE 9-bus power system under fault conditions.The proposed control scheme is developed and validated using detailed MATLAB/Simulink modeling under normal operation,symmetrical three-phase fault conditions,and post-fault recovery scenarios.A three-phase-to-ground fault is applied at the wind farm interconnection bus for a duration of 150 ms to evaluate transient performance.Simulation results demonstrate that the adaptive controller ensures fast power tracking,effective reactive power support,and enhanced voltage recovery compared to a conventional proportional–integral controller.Quantitatively,the proposed method improves voltage recovery time by approximately 45%,reduces active power overshoot by 38%,and lowers total harmonic distortion by 52% following fault clearance.Furthermore,the adaptive controller maintains stable operation under variations in wind speed and machine parameters without requiring retuning,highlighting its robustness against system uncertainties.The results confirm that the proposed control strategy significantly enhances fault ride-through capability,power quality,and dynamic stability of grid-interfaced wind farms.These findings demonstrate the practical applicability of adaptive control techniques for improving the reliability and resilience of modern power systems with high wind energy penetration.
基金supported by the project“Development of Comprehensive Solutions for Environmental Management in the Northeast Coastal Waters of Viet Nam in an Age of Global Changes”(Code:NDT/ITA/2024/07)under the framework of the bilateral scientific and technological cooperation program between Vietnam and Italy(2024-2027).
文摘The Hai Phong-Ha Long coastal area,with its World Natural Heritage site of Ha Long Bay-Cat Ba islands,has been under intense pressure from rapid development to meet the socio-economic goals set by Hai Phong City and Quang Ninh Province.As such,urgent land needs for infrastructure construction of economic sectors and urbanization have led to intensive coastal reclamation and seafill leveling,and their environmental consequences.The objective of this study is to assess the adverse environmental effects of coastal reclamation in the Hai Phong—Ha Long area,focusing on ecosystems,environmental quality,and seabed morphology at a regional scale.To achieve this objective,the study employed the regular techniques of environmental assessment methods,such as checklists,matrices,network diagrams,and overlay maps,to appraise these environmental consequences.The results show three main impacted natural components,including coastal ecosystems,environmental qualities,and morphological seabeds,besides coastline changes and socio-economic issues.The most impacted component was coastal ecosystems,followed by the coastal environmental qualities of seawater and sediments,and then the morphological seabed.Based on the study results,it is recommended that during the development of an integrated coastal management plan for the coastal area of Hai Phong–Ha Long,environmental issues of coastal reclamation and seafill leveling must be given much attention.
文摘Colorectal cancer(CRC)is one of the most molecularly heterogeneous malignancies,with complexity that extends far beyond traditional histopathological classifications.The consensus molecular subtypes(CMS)established in 2015 brought a marked advancement in the taxonomy of CRC,consolidating six classification systems into four novel subtypes,which focus on vital gene expression patterns and clinical and prognostic outcomes.However,nearly a decade of clinical experience with CMS classification has revealed fundamental limitations that underscore the inadequacy of any single classification system for capturing the full spectrum of CRC biology.The inherent challenges of the current paradigm are multifaceted.In the CMS classification,mixed phenotypes that remain unclassifiable constitute 13%of CRC cases.This reflects the remarkable heterogeneity that CRC shows.The tumor budding regions reflect the molecular shift due to CMS 2 to CMS 4 switching,causing further heterogeneity.Moreover,the reliance on bulk RNA sequencing fails to capture the spatial organization of molecular signatures within tumors and the critical contributions of the tumor microenvironment.Recent technological advances in spatial transcriptomics,singlecell RNA sequencing,and multi-omic integration have revealed the limitations of transcriptome-only classifications.The emergence of CRC intrinsic subtypes that attempt to remove microenvironmental contributions,pathway-derived subtypes,and stem cell-based classifications demonstrates the field’s recognition that multiple complementary classification systems are necessary.These newer molecular subtypes are not discrete categories but biological continua,thus highlighting that the vast molecular landscape is a tapestry of interlinked features,not rigid subtypes.Multiple technical hurdles cause difficulty in implementing the clinical translation of these newer molecular subtypes,including gene signature complexity,platform-dependent variations,and the difficulty of getting and preserving fresh frozen tissue.CMS 4 shows a poor prognostic outcome among the CMS subtypes,while CMS 1 is associated with poor survival in metastatic cases.However,the predictive value for definitive therapy remains subdued.Looking forward,the integration of artificial intelligence,liquid biopsy approaches,and real-time molecular monitoring promises to enable dynamic,multi-dimensional tumor characterization.The temporal and spatial complexity can only be captured by complementary molecular taxonomies rather than a single,unified system of CRC classification.Such an approach recognizes that different clinical questions–prognosis,treatment selection,resistance prediction–may require different molecular lenses,each optimized for specific clinical applications.This editorial advocates for a revolutionary change from pursuing a single“best”classification system toward a diverse approach that welcomes the molecular mosaic of CRC.Only through such comprehensive molecular characterization can we hope to achieve the promise of precision oncology for the diverse spectrum of patients with CRC.
基金financed by the Ministry of Research and Innovation-“Program Nucleu”-13N/08.02.2019-PN19-20-04-01The APC was funded by PN 23.30.02.02,PN 23.30.01.03.
文摘This study presents an integrated assessment of sedimentological,granulometric,physico-chemical,and biological characteristics in three Romanian coastal lakes,based on 2022 field surveys.A total of 59 sediment samples were analyzed lithologically and granulometrically,and 12 were examined for macrozoobenthic community composition.Water samples were assessed for nutrient and pigment concentrations to evaluate trophic status and ecological condition.Sediments were predominantly silty-clayey,indicating low-energy depositional environments.Organic matter content was highest in Lakes Agigea and Tuzla,suggesting enhanced primary productivity and organic detritus accumulation,while Lake Costinești showed higher biogenic carbonate content from mollusc shells.Macrozoobenthic assemblages were dominated by taxa tolerant to organic enrichment and hypoxia,including Chironomidae larvae,Oligochaeta,and Cyprideis torosa.Water quality analysis indicated good ecological status in Agigea Lake,whereas Tuzla Lake was severely eutrophic,with phosphate and nitrite in Class Ⅳ and chlorophyll-a exceeding Class Ⅴ thresholds(>250μg/L),consistent with cyanobacterial blooms.Elevated sulfate(Class Ⅲ)and suspended solids further impaired Tuzla’s transparency.In Costinești,marine taxa presence and variable salinity reflected periodic seawater exchange.Anthropogenic influences were evident-nutrient enrichment from fisheries in Tuzla and marine species introduction in Costinești-highlighting system vulnerability to human pressure.The integration of sediment,water quality,and biological indicators emphasizes the need for continuous,interdisciplinary monitoring to track ecological shifts,support adaptive management,and conserve biodiversity and ecosystem integrity in Romanian coastal lakes.
基金supported by the Tianchi Talent Introduction Program of Xinjiang Uygur Autonomous Region(2024000104)the National Key Research and Development Program of China(2023YFF0805603).
文摘Northwest China serves as a critical ecological barrier region for maintaining national water,energy,and food security,as well as transboundary ecological governance.However,under the dual pressures of climate change and human activities,ecosystem services(ESs)are facing severe challenges in this region.Based on multi-source remote sensing and statistical data during 2000–2020,this study investigated the spatiotemporal evolution characteristics of four key ESs(water yield,habitat quality,carbon storage,and food provisioning)in Northwest China using the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST)model.Integrating morphological spatial pattern analysis(MSPA)and circuit theory,we identified ecological sources,corridors,pinch points,and barriers,and further designed three optimization scenarios(bottleneck optimization,high-resistance corridor buffering,and barrier removal optimization)to enhance landscape connectivity.The results revealed that ES supply and demand exhibited marked spatial heterogeneity,with high-supply areas concentrated in the southeastern sectors.Ecological sources primarily distributed in the southeastern and northern sectors,and ecological resistance surfaces continuously intensified.Water yield and habitat quality demands were increasing,food provisioning demand was decreasing,and carbon storage demand was surging.A total of 61 ecological sources(8%of the study area),142 ecological corridors(24,957 km in total length),237 ecological pinch points,and 89 barrier zones were identified.Among the three optimization scenarios,barrier removal achieved optimal connectivity improvement across all distance thresholds,with the probability of connectivity index improvement reaching up to 4%.This study provides scientific foundations and spatial decision support for ecological network optimization and sustainable governance in arid and semi-arid areas.
基金National Natural Science Foundation of China,No.42377302Ministry of Science and Technology of the People’s Republic of China,No.2022XJKK0904State Key Laboratory of Soil and Sustainable Agriculture,No.SKLSSA25K03。
文摘Understanding the scale-dependent dynamics of ecosystem services(ESs)and their socio-ecological drivers is essential for sustainable development.While many studies rely on static or single-scale approaches,this research employs an integrated multi-temporal(2000–2020)and multi-scale(grid,county,and landscape levels)framework to investigate China’s Central Asian frontier,a representative dryland region.We quantified six ESs:habitat quality(HQ),net primary productivity(NPP),carbon sequestration(CS),water yield(WY),soil conservation(SC),and grain production(GP).Furthermore,we explored their interrelationships and identified the drivers influencing these services across different spatial scales.Our results revealed divergent ES trajectories:the declining HQ(−0.03 a^(−1)),NPP(−0.43 t km^(−2)a^(−1)),and SC(−3.41 t ha a^(−1))contrasted with rising WY(+2.33 mm a^(−1)),GP(+0.06 t km^(−2)a^(−1)),and CS(+0.02 t km^(−2)a^(−1)).The ES relationships were predominantly synergistic,while HQ–WY exhibited a trade-off(grid:−0.03;county:−0.02;landscape:−0.03)at temporal dimension but a synergistic relationship(grid:0.45;county:0.92;landscape:0.92)at spatial dimension.As spatial scale increased,SC–CS shifted from synergy(grid:0.001)to trade-off(county:−0.01;landscape:−0.005)in the temporal dimension,while all trade-off relationships in the spatial dimension were transformed into synergies.Key drivers of ES relationships varied with spatial scale:fraction vegetation coverage(FVC)and leaf area index(LAI)at the grid scale,annual precipitation(MAP)and soil moisture(SMA)at the county scale,and population density(POP),gross domestic product(GDP),and silt content(Silt)at the landscape scale.Based on the multi-scale findings,the study divides northern Xinjiang into Grain Priority Region,Ecological Priority Region,and Desert Containment Region,and proposes tailored management recommendations,offering a flexible framework for balancing ecological and socioeconomic needs.
基金supported by the National Key Research and Development Project(2022YFB4703200)。
文摘Pulmonary rehabilitation(PR)aims to improve lung function in patients with chronic respiratory disease(CRD).In recent years,significant advancements have been made in pulmonary rehabilitation technologies,demonstrating their potential for enhancing lung function in patients with respiratory diseases.The purpose of this study is to outline recent developments in the field of pulmonary rehabilitation guided by pulmonary rehabilitation robots,which has not been previously addressed in earlier reviews.To fill this gap,this paper first provides a systematic summary of the monitoring and actuation technologies of pulmonary rehabilitation robot systems and evaluates these technologies from multiple dimensions,including portability,wearability potential,invasiveness,and clinical applications,analyzing the potential for integrating various technologies into pulmonary rehabilitation robot systems.Furthermore,three technical directions are proposed:real-time precise monitoring,suitable structure and actuation strategies,and the intelligence of pulmonary rehabilitation robot systems.On the basis of these directions,this paper presents a comprehensive technical outlook for a soft wearable pulmonary rehabilitation robot system,providing reference and guidance for future research.To our knowledge,this is the first review of pulmonary rehabilitation robot systems and their key technologies.Additionally,the review section on respiratory assistive technologies simultaneously covers key technologies such as mechanical ventilation(MV),exoskeleton robots,and functional electrical stimulation(FES)for the first time.It also summarizes the respiratory assistive technology paradigm from the innovative perspectives of respiratory assistive modalities,targeted body sites,and types of ventilation for the first time.This study offers a broader perspective and a deeper understanding of pulmonary re-habilitation robots,with a technical outlook encompassing multimodal data fusion perception,respiratory event detection and intention recognition,full-phase assistance strategies,modeling,decoupling,and quantification of multipleinput multiple-output(MIMO)systems,as well as model-based interactive control strategies.
文摘Large-scale complex systems are integral to the functioning of various organizations within the national economy.Despite their significance,the lengthy construction cycles and the involvement of multiple entities often result in the deprioritization of standardized management practices,as they do not yield immediate benefits.The implementation of such systems typically encompasses the integrated phases of "development,construction,utiliz ation,and operation and maintenance".To enhance the overall delivery quality of these systems,it is imperative to dismantle the management barriers among these phases and adopt a holistic approach to standardized management.This paper takes a specific system project as a research object to identify common challenges,and proposes improvement strategies in the implementation of standar dized management.Empirical results indicate a substantial reduction in the system s full-lifecycle costs.
