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
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
Because of the developed surface of the Triply PeriodicMinimumSurface(TPMS)structures,polylactide(PLA)products with a TPMS structure are thought to be promising bio soluble implants with the potential for targeted dru...Because of the developed surface of the Triply PeriodicMinimumSurface(TPMS)structures,polylactide(PLA)products with a TPMS structure are thought to be promising bio soluble implants with the potential for targeted drug delivery.For implants,mechanical properties are key performance characteristics,so understanding the deformation and failure mechanisms is essential for selecting the appropriate implant structure.The deformation and fracture processes in PLA samples with different interior architectures have been studied through computer simulation and experimental research.Two TPMS topologies,the Schwarz Diamond and Gyroid architectures,were used for the sample construction by 3D printing.ANSYS software was utilized to simulate compressive deformation.It was found that under the same load,the vonMises stresses in the Gyroid structure are higher than those in the Schwartz Diamond structure,which was associated with the different orientations of the cells in the studied structures in relation to the direction of the loading axis.The deformation process occurs in the local regions of the studied TPMS structures.Maximum von Mises stresses were observed in the vertical parts of the structures oriented along the load direction.It was found that,unlike the Gyroid,the Schwartz Diamond structure contains a frame that forms unique stiffening ribs,which ensures the redistribution of the load under the vertical loading direction.An analysis of the mechanical characteristics of PLA samples with the Schwartz Diamond and Gyroid structures produced by the Fused Deposition Modeling(FDM)method was correlated with computer simulation.The Schwarz Diamond-type structure was shown to have a higher absorption energy than the Gyroid one.A study of the fracture in PLA samples with various cell sizes revealed a particular feature related to the samples’periodic surface topology and the 3D printing process.Scanning electron microscopic(SEM)studies of the samples deformed by compression showed thatwith an increase in the density of the samples,the failure mechanism changes from ductile to quasi-brittle due to the complex participation of both cell deformation and fiber deformation.展开更多
The increasing occurrence of corrosion-related damage in steel pipelines has led to the growing use of composite-based repair techniques as an efficient alternative to traditional replacement methods.Computer modeling...The increasing occurrence of corrosion-related damage in steel pipelines has led to the growing use of composite-based repair techniques as an efficient alternative to traditional replacement methods.Computer modeling and structural analysis were performed for the repair reinforcement of a steel pipeline with a composite bandage.A preliminary analysis of possible contact interaction schemes was implemented based on the theory of cylindrical shells,taking into account transverse shear deformations.The finite element method was used for a detailed study of the stress state of the composite bandage and the reinforced section of the pipeline.The limit state of the reinforced section was assessed based on the von Mises criterion for steel and the Tsai-Wu criterion for composites.The effectiveness of the repair was demonstrated on a pipeline whose wall thickness had decreased by 20%as a result of corrosion damage.At a nominal pressure of P=6 MPa,the maximum normal stress in the weakened area reached 381 MPa.The installation of a composite bandage reduced this stress to 312 MPa,making the repaired section virtually as strong as the undamaged pipeline.Due to the linearity of the problem,the results obtained can be easily used to find critical internal pressure values.展开更多
The rapid advancements in computer vision(CV)technology have transformed the traditional approaches to material microstructure analysis.This review outlines the history of CV and explores the applications of deep-lear...The rapid advancements in computer vision(CV)technology have transformed the traditional approaches to material microstructure analysis.This review outlines the history of CV and explores the applications of deep-learning(DL)-driven CV in four key areas of materials science:microstructure-based performance prediction,microstructure information generation,microstructure defect detection,and crystal structure-based property prediction.The CV has significantly reduced the cost of traditional experimental methods used in material performance prediction.Moreover,recent progress made in generating microstructure images and detecting microstructural defects using CV has led to increased efficiency and reliability in material performance assessments.The DL-driven CV models can accelerate the design of new materials with optimized performance by integrating predictions based on both crystal and microstructural data,thereby allowing for the discovery and innovation of next-generation materials.Finally,the review provides insights into the rapid interdisciplinary developments in the field of materials science and future prospects.展开更多
Since the reform and opening up,the development approach targeting urban economic growth has led to a sharp increase in the proportion of impervious hardened surfaces in cities and significant waste of natural resourc...Since the reform and opening up,the development approach targeting urban economic growth has led to a sharp increase in the proportion of impervious hardened surfaces in cities and significant waste of natural resources.The urgent need for water ecological civilization construction is of great significance to the continuation of human civilization in the long run.This paper focuses on the urban waterfront landscape design of the Chongqing Institute of Engineering section of the Huaxi River in Banan District,emphasizing the concept of“symbiosis”.Using site cultural symbols as a medium to connect the campus and the city on both sides of the river,returning the riverbank to the people,restoring the ecological space of the riverfront,enriching the landscape belt,promoting the protection of bird and fish habitats,and stimulating the vitality of the riverbank space;it aims to pave the way for ecological restoration,functional expansion,landscape renewal,and riverfront space activation at the study site.展开更多
Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BC...Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility.展开更多
Cancer pain is one of the most prevalent and debilitating symptoms in patients with advanced malignancies,arising from multifactorial mechanisms involving peripheral,central,and systemic pathways.Conventional analgesi...Cancer pain is one of the most prevalent and debilitating symptoms in patients with advanced malignancies,arising from multifactorial mechanisms involving peripheral,central,and systemic pathways.Conventional analgesics,including opioids and nonsteroidal anti-inflammatory drugs,are often limited by their insufficient efficacy,tolerance,and risk of dependence.Traditional Chinese Medicine(TCM),characterized by its multi-component,multi-target,and systemic regulatory properties,has shown promising potential in cancer pain management.This review provides a comprehensive overview of the clinical classification and underlying mechanisms of cancer pain(including nerve infiltration,dysregulation of inflammatory mediators and ion channels,central sensitization,neuro-immune crosstalk,metabolic reprogramming,and gut-brain axis impairment),as well as the analgesic effects of representative TCM agents in cancer pain management.For example,bioactive components such as tetrahydroberberine,levo-tetrahydropalmatine,and piperine exert analgesic effects,thereby improving the quality of life of patients by inhibiting inflammatory cascades,regulating neurotransmitter systems,and preserving neural integrity.Commonly used preclinical models,including bone cancer pain,pancreatic cancer pain,and chemotherapy-induced peripheral neuropathy models,are summarized for their utility in mechanistic studies and efficacy evaluations.This review also discusses the current limitations of clinical evidence,such as small sample sizes,short follow-up periods,and limited translation from animal models,alongside major challenges in standardization,mechanistic elucidation,and clinical trial design.Future directions should focus on precise pain phenotyping,integrated multi-target interventions,rigorous efficacy safety validation,and innovations in drug delivery to facilitate the standardization and global adoption of TCM in cancer pain management.展开更多
Knee osteoarthritis(KOA)represents one of the most common causes of chronic pain.The high prevalence and disability rates of KOA impose a severe burden on both individuals and society.In contrast to cutaneous pain,KOA...Knee osteoarthritis(KOA)represents one of the most common causes of chronic pain.The high prevalence and disability rates of KOA impose a severe burden on both individuals and society.In contrast to cutaneous pain,KOA-induced joint pain is characterized as a deep tissue pain that potentially involves distinct subgroups of peripheral sensory neurons and central processing mechanisms.Furthermore,KOA pain is closely related to locomotion activity.Impaired sensorimotor integration and pain mutually reinforce each other in KOA,forming a vicious cycle that exacerbates disease progression.In this review,we highlight the key differences between KOA pain and cutaneous pain,and the latter has been extensively studied in the pain field.We hope to offer new insights into the central mechanisms and development of new treatment strategies for KOA based on the interactions between impaired sensorimotor integration and chronic joint pain.展开更多
Purpose:Interdisciplinary research has become a critical approach to addressing complex societal,economic,technological,and environmental challenges,driving innovation and integrating scientific knowledge.While interd...Purpose:Interdisciplinary research has become a critical approach to addressing complex societal,economic,technological,and environmental challenges,driving innovation and integrating scientific knowledge.While interdisciplinarity indicators are widely used to evaluate research performance,the impact of classification granularity on these assessments remains underexplored.Design/methodology/approach:This study investigates how different levels of classification granularity-macro,meso,and micro-affect the evaluation of interdisciplinarity in research institutes.Using a dataset of 262 institutes from four major German non-university organizations(FHG,HGF,MPG,WGL)from 2018 to 2022,we examine inconsistencies in interdisciplinarity across levels,analyze ranking changes,and explore the influence of institutional fields and research focus(applied vs.basic).Findings:Our findings reveal significant inconsistencies in interdisciplinarity across classification levels,with rankings varying substantially.Notably,the Fraunhofer Society(FHG),which performs well at the macro level,experiences significant ranking declines at meso and micro levels.Normalizing interdisciplinarity by research field confirmed that these declines persist.The research focus of institutes,whether applied,basic,or mixed,does not significantly explain the observed ranking dynamics.Research limitations:This study has only considered the publication-based dimension of institutional interdisciplinarity and has not explored other aspects.Practical implications:The findings provide insights for policymakers,research managers,and scholars to better interpret interdisciplinarity metrics and support interdisciplinary research effectively.Originality/value:This study underscores the critical role of classification granularity in interdisciplinarity assessment and emphasizes the need for standardized approaches to ensure robust and fair evaluations.展开更多
Background Clinical brain-computer interface(BCI)for mental disorders is an emerging interdisciplinary research field,posing new ethical concerns and challenges,yet lacking practical ethical governance guidelines for ...Background Clinical brain-computer interface(BCI)for mental disorders is an emerging interdisciplinary research field,posing new ethical concerns and challenges,yet lacking practical ethical governance guidelines for stakeholders and the entire community.Aims This study aims to establish a multidisciplinary consensus of principles for ethical governance of clinical BCI research for mental disorders and offer practical ethical guidance to stakeholders involved.Methods A systematic literature review,symposium and roundtable discussions,and a pre-Delphi(round 0)survey were conducted to form the questionnaire for the three-round modified Delphi study.Two rounds of surveys,followed by a third round of independent interviews of 25 experts from BCI-related research domains,were involved.We conducted quantitative analysis of responses and agreements among experts to reveal the consensus and differences regarding the ethical governance of mental BCI research from a multidisciplinary perspective.Results The Delphi panel emphasised important concerns of ethical review practices and ethical principles within the BCI context,identified qualified and highly influential institutions and personnel in conducting and advancing clinical BCI research,and recognised prioritised aspects in the risk-benefit evaluation.Experts expressed diverse opinions on specific ethical concerns,including concerns about invasive technology,its impact on humanity and potential social consequences.Agreement was reached that the practices of ethical governance of clinical BCI for mental disorders should focus on patient voluntariness,autonomy,long-term effects and related assessments of BCI interventions,as well as privacy protection,transparent reporting and ensuring that the research is conducted in qualified institutions with strong data security.Conclusions Ethical governance of clinical research on BCI for mental disorders should include interdisciplinary experts to balance various needs and incorporate the expertise of different stakeholders to avoid serious ethical issues.It requires scientifically grounded approaches,continuous monitoring and interdisciplinary collaboration to ensure evidence-based policies,comprehensive risk assessments and transparency,thereby promoting responsible innovations and protecting patient rights and well-being.展开更多
In light of the pressing global challenges of climate change,declining crop resilience,and hidden hunger,it is imperative to overcome the limitations of conventional crop breeding to enhance both the nutritional quali...In light of the pressing global challenges of climate change,declining crop resilience,and hidden hunger,it is imperative to overcome the limitations of conventional crop breeding to enhance both the nutritional quality and stress tolerance of crops.Synthetic metabolic engineering presents innovative strategies for the precision modification and de novo design of metabolic pathways.This approach generally encompasses three essential steps:identifying key metabolites through metabolomics,integrating multi-omics technologies to investigate the synthesis and regulation of these metabolites,and utilizing gene editing or de novo design to modify crop metabolic pathways associated with desirable agronomic traits.This review underscores the vital role of plant metabolite diversity in enhancing crop nutritional quality and stress resilience.Integrated multi-omics analyses facilitate the metabolic engineering by identifying key genes,transporters,and transcription factors that regulate metabolite biosynthesis.Precision modification strategies employ genome editing tools to reprogram endogenous metabolic networks,while de novo design reconstructs metabolic pathways through the introduction of exogenous biological elements—thereby both approaches enable the targeted enhancement of desired traits.These strategies have been effectively implemented in major food crops.However,simultaneously enhancing nutritional quality and stress resilience remains challenging due to inherent trade-offs and resource competition in distinct metabolic pathways within plants.Future research should integrate AI-driven predictive models with multi-omics datasets to decipher dynamic metabolic homeostasis and engineer climate-smart crops that maximize yield while preserving quality and environmental adaptability.展开更多
Downregulation of the inwardly rectifying potassium channel Kir4.1 is a key step for inducing retinal Müller cell activation and interaction with other glial cells,which is involved in retinal ganglion cell apopt...Downregulation of the inwardly rectifying potassium channel Kir4.1 is a key step for inducing retinal Müller cell activation and interaction with other glial cells,which is involved in retinal ganglion cell apoptosis in glaucoma.Modulation of Kir4.1 expression in Müller cells may therefore be a potential strategy for attenuating retinal ganglion cell damage in glaucoma.In this study,we identified seven predicted phosphorylation sites in Kir4.1 and constructed lentiviral expression systems expressing Kir4.1 mutated at each site to prevent phosphorylation.Following this,we treated Müller glial cells in vitro and in vivo with the m Glu R I agonist DHPG to induce Kir4.1 or Kir4.1 Tyr^(9)Asp overexpression.We found that both Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression inhibited activation of Müller glial cells.Subsequently,we established a rat model of chronic ocular hypertension by injecting microbeads into the anterior chamber and overexpressed Kir4.1 or Kir4.1 Tyr^(9)Asp in the eye,and observed similar results in Müller cells in vivo as those seen in vitro.Both Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression inhibited Müller cell activation,regulated the balance of Bax/Bcl-2,and reduced the m RNA and protein levels of pro-inflammatory factors,including interleukin-1βand tumor necrosis factor-α.Furthermore,we investigated the regulatory effects of Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression on the release of pro-inflammatory factors in a co-culture system of Müller glial cells and microglia.In this co-culture system,we observed elevated adenosine triphosphate concentrations in activated Müller cells,increased levels of translocator protein(a marker of microglial activation),and elevated interleukin-1βm RNA and protein levels in microglia induced by activated Müller cells.These changes could be reversed by Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression in Müller cells.Kir4.1 overexpression,but not Kir4.1 Tyr^(9)Asp overexpression,reduced the number of proliferative and migratory microglia induced by activated Müller cells.Collectively,these results suggest that the tyrosine residue at position nine in Kir4.1 may serve as a functional modulation site in the retina in an experimental model of glaucoma.Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression attenuated Müller cell activation,reduced ATP/P2X receptor–mediated interactions between glial cells,inhibited microglial activation,and decreased the synthesis and release of pro-inflammatory factors,consequently ameliorating retinal ganglion cell apoptosis in glaucoma.展开更多
Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as ...Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as deep brain stimulation and transcranial magnetic stimulation,show limitations such as invasiveness,restricted cortical targeting,and irreversible tissue effects.In this context,low-intensity transcranial ultrasound has emerged as a promising noninvasive alternative that can penetrate deep into the brain and modulate neuroplasticity.This review comprehensively assesses the therapeutic mechanisms,efficacy,and translational potential of low-intensity transcranial ultrasound in treating neurodegenerative diseases,with emphasis on its role in promoting neuronal regeneration,modulating neuroinflammation,and enhancing functional recovery.We summarize the findings of previous studies and systematically illustrate the potential of low-intensity transcranial ultrasound in regulating cell death mechanisms,enhancing neural repair and regeneration,and alleviating symptoms associated with neurodegenerative diseases.Preclinical findings indicate that low-intensity transcranial ultrasound can enhance the release of neurotrophic factors(e.g.,brain-derived neurotrophic factor),promote autophagy to clear protein aggregates,modulate microglial activation,and temporarily open the blood-brain barrier to facilitate targeted drug delivery.Existing clinical trial data show that low-intensity transcranial ultrasound can reduce amyloid-βplaques,improve motor and cognitive deficits,and promote remyelination in various disease models.Early clinical trials suggest that low-intensity transcranial ultrasound may enhance cognitive scores in Alzheimer’s disease and alleviate motor symptoms in Parkinson’s disease,all while demonstrating a favorable safety profile.Past studies support the notion that by integrating safety,precision,and reversibility,low-intensity transcranial ultrasound can transform the treatment landscape for neurodegenerative disease.However,more advancements are necessary for future clinical application of low-intensity transcranial ultrasound,including optimizing parameters such as frequency,intensity,and duty cycle;considering individual anatomical differences;and confirming long-term efficacy.We believe establishing standardized protocols,conducting larger trials,and investigating the underlying mechanisms to clarify dose-response relationships and refine personalized application strategies are essential in this regard.Future research should focus on translating preclinical findings into clinical practice,addressing technical challenges,and exploring combination therapies with pharmacological or gene interventions.展开更多
This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mi...This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mission is disturbed by the measurement noise and the target adversarial behavior.To address these problems,a model-free Combined Adaptive-length Datadriven Predictive Controller(CADPC)is proposed.It consists of a separated subsystem identification method and a combined predictive control strategy.The subsystem identification method is composed of an adaptive data length,thereby reducing sensitivity to undetermined measurement noises and disturbances.Based on the subsystem identification,the combined predictive controller is established,reducing calculating resource.The stability of the CADPC is rigorously proven using the Input-to-State Stable(ISS)theorem and the small-gain theorem.Simulations demonstrate that CADPC effectively handles the model-free space robot post operation in the presence of significant disturbances,state measurement noise,and control input errors.It achieves improved steady-state accuracy,reduced steady-state control consumption,and minimized control input chattering.展开更多
Acetolactate synthase(ALS)-targeting herbicides are among the most widely used weed-control chemicals globally.Mutations in the ALS gene can confer herbicide resistance in crops,thereby allowing selective elimination ...Acetolactate synthase(ALS)-targeting herbicides are among the most widely used weed-control chemicals globally.Mutations in the ALS gene can confer herbicide resistance in crops,thereby allowing selective elimination of weeds without harming crops.Herbicide-resistant ALS alleles were initially discovered in weeds and subsequently developed through artificial mutagenesis techniques.With the advancement of CRISPR/Cas technologies,various genome-editing tools are now available to introduce these resistant alleles,as well as novel variants,into diverse crop species.Moreover,emerging methodologies,such as directed evolution,enable the generation and screening of large populations of random ALS mutants.Consequently,ALS has become one of the most extensively targeted genes in plant gene evolution.This paper provides a comprehensive overview of both conventional and recently developed strategies for ALS evolution,with particular emphasis on CRISPR/Cas-based genome editing and directed evolution.Future perspectives on technological application are also discussed.By advancing our understanding of herbicide-resistant ALS allele development for crop improvement,these methodologies may also pave the way for their application to the evolution of other agronomically important genes.展开更多
BACKGROUND Antimicrobial resistance(AMR)is an escalating global health threat,disproportionately impacting low-income and middle-income countries like India.The rise of multidrug-resistant organisms(MDROs)complicates ...BACKGROUND Antimicrobial resistance(AMR)is an escalating global health threat,disproportionately impacting low-income and middle-income countries like India.The rise of multidrug-resistant organisms(MDROs)complicates treatment,increases healthcare costs,and contributes to higher morbidity and mortality.In India,factors such as antibiotic misuse,over-the-counter availability,and self-medication have exacerbated this crisis.Despite the urgency,regional data on MDRO prevalence remains limited.AIM To assess the burden and distribution of MDRO infections identified at a tertiary healthcare institute in North India.METHODS This cross-sectional study analyzed inpatient data from All India Institute of Medical Sciences(AIIMS)Rishikesh using the E-hospital database from May 2021 to February 2024,except 2022.All inpatients with culture-confirmed MDRO infections were included.Patient charts and discharge summaries were reviewed.Data analysis was performed using Jamovi software,with descriptive statistics summarizing demographics.Theχ²test was used to assess associations between MDROs and various factors.Ethical approval was obtained,and patient confidentiality was maintained.RESULTS This study included 820 participants having 1106 MDROs.The majority of patients were aged 35-64 years,with a male predominance(57.6%).Most cases were from Uttar Pradesh(49.1%)and Uttarakhand(47.6%),with Bijnor and Haridwar districts reporting the highest burden from their respective states.Klebsiella pneumoniae(K.pneumoniae)(30.6%),Acinetobacter baumannii(16.7%),and Escherichia coli(E.coli)(16.7%)were the most common MDROs.Urine was the most frequent sample type(51.0%),with K.pneumoniae as the leading pathogen.Infections varied significantly across departments(P<0.001),with General Medicine and Surgery reporting the highest burden.E.coli and Klebsiella spp.were most prevalent in these departments respectively.MDRO prevalence fluctuated over time,with significant variations by quarter(P<0.001).Following the second coronavirus disease 2019 wave,there was a rapid surge in MDROs,which stabilized after approximately three months.The overall mortality among patients harboring MDROs was 25.9%.CONCLUSION This study highlights the burden of MDROs among patients at AIIMS Rishikesh,with K.pneumoniae as the predominant pathogen.Strengthening antimicrobial stewardship and infection control measures is essential to combat rising AMR,with department-specific,and pathogen-specific stewardships.展开更多
This paper presents an Eulerian-Lagrangian algorithm for direct numerical simulation(DNS)of particle-laden flows.The algorithm is applicable to perform simulations of dilute suspensions of small inertial particles in ...This paper presents an Eulerian-Lagrangian algorithm for direct numerical simulation(DNS)of particle-laden flows.The algorithm is applicable to perform simulations of dilute suspensions of small inertial particles in turbulent carrier flow.The Eulerian framework numerically resolves turbulent carrier flow using a parallelized,finite-volume DNS solver on a staggered Cartesian grid.Particles are tracked using a point-particle method utilizing a Lagrangian particle tracking(LPT)algorithm.The proposed Eulerian-Lagrangian algorithm is validated using an inertial particle-laden turbulent channel flow for different Stokes number cases.The particle concentration profiles and higher-order statistics of the carrier and dispersed phases agree well with the benchmark results.We investigated the effect of fluid velocity interpolation and numerical integration schemes of particle tracking algorithms on particle dispersion statistics.The suitability of fluid velocity interpolation schemes for predicting the particle dispersion statistics is discussed in the framework of the particle tracking algorithm coupled to the finite-volume solver.In addition,we present parallelization strategies implemented in the algorithm and evaluate their parallel performance.展开更多
Saikosaponins are the major pharmacologically active components in Bupleurum genus and exhibit significant application potential in multiple fields such as immune regulation and anti-tumor activity.To elucidate the bi...Saikosaponins are the major pharmacologically active components in Bupleurum genus and exhibit significant application potential in multiple fields such as immune regulation and anti-tumor activity.To elucidate the biosynthetic pathway of saikosaponins,we identified two cytochrome P450 monooxygenases,CYP716A41 and CYP716Y4,in Bupleurum chinense.These enzymes catalyze the C-28 oxidation and C-16 hydroxylation of oleanane-type triterpene skeletons,respectively.The catalytic efficiency of CYP716A41 from a southern B.chinense variety was significantly higher than that from a northern variety.Molecular docking and mutagenesis experiments revealed that amino acid residues at sites 9 and 35 may contribute to this difference in catalytic efficiency.Additionally,under cold stress,the expression levels of both CYP450 genes and the saikosaponin contents in the leaves of southern varieties were significantly higher compared to those in northern varieties.The variation in the catalytic efficiency of CYP716A41 and the differential expression of the two CYP450 genes under cold stress during winter are associated with the differences in saikosaponin biosynthesis in the leaves of southern and northern B.chinense varieties.This is consistent with the distinct medicinal usage practices observed between southern and northern China.展开更多
Zanthoxylum bungeanum is an economically important crop worldwide due to its high content of aroma-producing monoterpenoids,and development of varieties with enhanced flavor and overall quality is a crucial research a...Zanthoxylum bungeanum is an economically important crop worldwide due to its high content of aroma-producing monoterpenoids,and development of varieties with enhanced flavor and overall quality is a crucial research area.However,the transcriptional regulatory mechanisms underlying monoterpenoid synthesis in Z.bungeanum remain unclear,hindering these breeding efforts.In this study,RNA sequencing,gas chromatography–mass spectrometry,and other molecular biology techniques were used to identify the underlying transcriptional regulation mechanisms.Two transcription factors,ZbbHLH2 and ZbERF6,were identified as key regulators of monoterpenoid synthesis in Z.bungeanum that upregulate various monoterpenoid synthesis-associated genes and are novel transcriptional activators of ZbIDI,which encodes the rate-limiting enzyme in plant monoterpenoid synthesis.Functional analysis revealed that the expression of three genes[1]modulates monoterpenoid accumulation in Z.bungeanum peel.These findings provide novel insights into the metabolic regulatory network of monoterpenoid synthesis in Z.bungeanum peel,offer potential strategies for the biofortification of specific monoterpenoids,and will promote the development of Z.bungeanum germplasm for targeted breeding and quality improvement.展开更多
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.
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.
文摘Because of the developed surface of the Triply PeriodicMinimumSurface(TPMS)structures,polylactide(PLA)products with a TPMS structure are thought to be promising bio soluble implants with the potential for targeted drug delivery.For implants,mechanical properties are key performance characteristics,so understanding the deformation and failure mechanisms is essential for selecting the appropriate implant structure.The deformation and fracture processes in PLA samples with different interior architectures have been studied through computer simulation and experimental research.Two TPMS topologies,the Schwarz Diamond and Gyroid architectures,were used for the sample construction by 3D printing.ANSYS software was utilized to simulate compressive deformation.It was found that under the same load,the vonMises stresses in the Gyroid structure are higher than those in the Schwartz Diamond structure,which was associated with the different orientations of the cells in the studied structures in relation to the direction of the loading axis.The deformation process occurs in the local regions of the studied TPMS structures.Maximum von Mises stresses were observed in the vertical parts of the structures oriented along the load direction.It was found that,unlike the Gyroid,the Schwartz Diamond structure contains a frame that forms unique stiffening ribs,which ensures the redistribution of the load under the vertical loading direction.An analysis of the mechanical characteristics of PLA samples with the Schwartz Diamond and Gyroid structures produced by the Fused Deposition Modeling(FDM)method was correlated with computer simulation.The Schwarz Diamond-type structure was shown to have a higher absorption energy than the Gyroid one.A study of the fracture in PLA samples with various cell sizes revealed a particular feature related to the samples’periodic surface topology and the 3D printing process.Scanning electron microscopic(SEM)studies of the samples deformed by compression showed thatwith an increase in the density of the samples,the failure mechanism changes from ductile to quasi-brittle due to the complex participation of both cell deformation and fiber deformation.
文摘The increasing occurrence of corrosion-related damage in steel pipelines has led to the growing use of composite-based repair techniques as an efficient alternative to traditional replacement methods.Computer modeling and structural analysis were performed for the repair reinforcement of a steel pipeline with a composite bandage.A preliminary analysis of possible contact interaction schemes was implemented based on the theory of cylindrical shells,taking into account transverse shear deformations.The finite element method was used for a detailed study of the stress state of the composite bandage and the reinforced section of the pipeline.The limit state of the reinforced section was assessed based on the von Mises criterion for steel and the Tsai-Wu criterion for composites.The effectiveness of the repair was demonstrated on a pipeline whose wall thickness had decreased by 20%as a result of corrosion damage.At a nominal pressure of P=6 MPa,the maximum normal stress in the weakened area reached 381 MPa.The installation of a composite bandage reduced this stress to 312 MPa,making the repaired section virtually as strong as the undamaged pipeline.Due to the linearity of the problem,the results obtained can be easily used to find critical internal pressure values.
基金financially supported by the National Science Fund for Distinguished Young Scholars,China(No.52025041)the National Natural Science Foundation of China(Nos.52450003,U2341267,and 52174294)+1 种基金the National Postdoctoral Program for Innovative Talents,China(No.BX20240437)the Fundamental Research Funds for the Central Universities,China(Nos.FRF-IDRY-23-037 and FRF-TP-20-02C2)。
文摘The rapid advancements in computer vision(CV)technology have transformed the traditional approaches to material microstructure analysis.This review outlines the history of CV and explores the applications of deep-learning(DL)-driven CV in four key areas of materials science:microstructure-based performance prediction,microstructure information generation,microstructure defect detection,and crystal structure-based property prediction.The CV has significantly reduced the cost of traditional experimental methods used in material performance prediction.Moreover,recent progress made in generating microstructure images and detecting microstructural defects using CV has led to increased efficiency and reliability in material performance assessments.The DL-driven CV models can accelerate the design of new materials with optimized performance by integrating predictions based on both crystal and microstructural data,thereby allowing for the discovery and innovation of next-generation materials.Finally,the review provides insights into the rapid interdisciplinary developments in the field of materials science and future prospects.
基金Chongqing Institute of Engineering School-level Project:Research on Urban Waterfront Landscape Design Based on the Concept of River Ecological Restoration-Taking the Section of Chongqing Institute of Engineering on Huaxi River as an Example(Project No.:2022xskz02)。
文摘Since the reform and opening up,the development approach targeting urban economic growth has led to a sharp increase in the proportion of impervious hardened surfaces in cities and significant waste of natural resources.The urgent need for water ecological civilization construction is of great significance to the continuation of human civilization in the long run.This paper focuses on the urban waterfront landscape design of the Chongqing Institute of Engineering section of the Huaxi River in Banan District,emphasizing the concept of“symbiosis”.Using site cultural symbols as a medium to connect the campus and the city on both sides of the river,returning the riverbank to the people,restoring the ecological space of the riverfront,enriching the landscape belt,promoting the protection of bird and fish habitats,and stimulating the vitality of the riverbank space;it aims to pave the way for ecological restoration,functional expansion,landscape renewal,and riverfront space activation at the study site.
基金supported by the National Key R&D Program of China(2021YFF1200602)the National Science Fund for Excellent Overseas Scholars(0401260011)+3 种基金the National Defense Science and Technology Innovation Fund of Chinese Academy of Sciences(c02022088)the Tianjin Science and Technology Program(20JCZDJC00810)the National Natural Science Foundation of China(82202798)the Shanghai Sailing Program(22YF1404200).
文摘Brain-computer interfaces(BCIs)represent an emerging technology that facilitates direct communication between the brain and external devices.In recent years,numerous review articles have explored various aspects of BCIs,including their fundamental principles,technical advancements,and applications in specific domains.However,these reviews often focus on signal processing,hardware development,or limited applications such as motor rehabilitation or communication.This paper aims to offer a comprehensive review of recent electroencephalogram(EEG)-based BCI applications in the medical field across 8 critical areas,encompassing rehabilitation,daily communication,epilepsy,cerebral resuscitation,sleep,neurodegenerative diseases,anesthesiology,and emotion recognition.Moreover,the current challenges and future trends of BCIs were also discussed,including personal privacy and ethical concerns,network security vulnerabilities,safety issues,and biocompatibility.
基金supported by the National Natural Science Foundation of China(No.82360238,82071245)。
文摘Cancer pain is one of the most prevalent and debilitating symptoms in patients with advanced malignancies,arising from multifactorial mechanisms involving peripheral,central,and systemic pathways.Conventional analgesics,including opioids and nonsteroidal anti-inflammatory drugs,are often limited by their insufficient efficacy,tolerance,and risk of dependence.Traditional Chinese Medicine(TCM),characterized by its multi-component,multi-target,and systemic regulatory properties,has shown promising potential in cancer pain management.This review provides a comprehensive overview of the clinical classification and underlying mechanisms of cancer pain(including nerve infiltration,dysregulation of inflammatory mediators and ion channels,central sensitization,neuro-immune crosstalk,metabolic reprogramming,and gut-brain axis impairment),as well as the analgesic effects of representative TCM agents in cancer pain management.For example,bioactive components such as tetrahydroberberine,levo-tetrahydropalmatine,and piperine exert analgesic effects,thereby improving the quality of life of patients by inhibiting inflammatory cascades,regulating neurotransmitter systems,and preserving neural integrity.Commonly used preclinical models,including bone cancer pain,pancreatic cancer pain,and chemotherapy-induced peripheral neuropathy models,are summarized for their utility in mechanistic studies and efficacy evaluations.This review also discusses the current limitations of clinical evidence,such as small sample sizes,short follow-up periods,and limited translation from animal models,alongside major challenges in standardization,mechanistic elucidation,and clinical trial design.Future directions should focus on precise pain phenotyping,integrated multi-target interventions,rigorous efficacy safety validation,and innovations in drug delivery to facilitate the standardization and global adoption of TCM in cancer pain management.
基金supported by the Natural Science Foundation of Beijing Municipality(No.F252065)the National Natural Science Foundation of China(No.32271190,32571323)the STI 2030 Major Project(No.2021ZD0203202)。
文摘Knee osteoarthritis(KOA)represents one of the most common causes of chronic pain.The high prevalence and disability rates of KOA impose a severe burden on both individuals and society.In contrast to cutaneous pain,KOA-induced joint pain is characterized as a deep tissue pain that potentially involves distinct subgroups of peripheral sensory neurons and central processing mechanisms.Furthermore,KOA pain is closely related to locomotion activity.Impaired sensorimotor integration and pain mutually reinforce each other in KOA,forming a vicious cycle that exacerbates disease progression.In this review,we highlight the key differences between KOA pain and cutaneous pain,and the latter has been extensively studied in the pain field.We hope to offer new insights into the central mechanisms and development of new treatment strategies for KOA based on the interactions between impaired sensorimotor integration and chronic joint pain.
文摘Purpose:Interdisciplinary research has become a critical approach to addressing complex societal,economic,technological,and environmental challenges,driving innovation and integrating scientific knowledge.While interdisciplinarity indicators are widely used to evaluate research performance,the impact of classification granularity on these assessments remains underexplored.Design/methodology/approach:This study investigates how different levels of classification granularity-macro,meso,and micro-affect the evaluation of interdisciplinarity in research institutes.Using a dataset of 262 institutes from four major German non-university organizations(FHG,HGF,MPG,WGL)from 2018 to 2022,we examine inconsistencies in interdisciplinarity across levels,analyze ranking changes,and explore the influence of institutional fields and research focus(applied vs.basic).Findings:Our findings reveal significant inconsistencies in interdisciplinarity across classification levels,with rankings varying substantially.Notably,the Fraunhofer Society(FHG),which performs well at the macro level,experiences significant ranking declines at meso and micro levels.Normalizing interdisciplinarity by research field confirmed that these declines persist.The research focus of institutes,whether applied,basic,or mixed,does not significantly explain the observed ranking dynamics.Research limitations:This study has only considered the publication-based dimension of institutional interdisciplinarity and has not explored other aspects.Practical implications:The findings provide insights for policymakers,research managers,and scholars to better interpret interdisciplinarity metrics and support interdisciplinary research effectively.Originality/value:This study underscores the critical role of classification granularity in interdisciplinarity assessment and emphasizes the need for standardized approaches to ensure robust and fair evaluations.
基金funded by the Shanghai Philosophy and Social Science Planning Project (2021BZX008)the National Social Science Foundation of China (23BZX110)the National Office for Philosophy and Social Science (20&ZD045).
文摘Background Clinical brain-computer interface(BCI)for mental disorders is an emerging interdisciplinary research field,posing new ethical concerns and challenges,yet lacking practical ethical governance guidelines for stakeholders and the entire community.Aims This study aims to establish a multidisciplinary consensus of principles for ethical governance of clinical BCI research for mental disorders and offer practical ethical guidance to stakeholders involved.Methods A systematic literature review,symposium and roundtable discussions,and a pre-Delphi(round 0)survey were conducted to form the questionnaire for the three-round modified Delphi study.Two rounds of surveys,followed by a third round of independent interviews of 25 experts from BCI-related research domains,were involved.We conducted quantitative analysis of responses and agreements among experts to reveal the consensus and differences regarding the ethical governance of mental BCI research from a multidisciplinary perspective.Results The Delphi panel emphasised important concerns of ethical review practices and ethical principles within the BCI context,identified qualified and highly influential institutions and personnel in conducting and advancing clinical BCI research,and recognised prioritised aspects in the risk-benefit evaluation.Experts expressed diverse opinions on specific ethical concerns,including concerns about invasive technology,its impact on humanity and potential social consequences.Agreement was reached that the practices of ethical governance of clinical BCI for mental disorders should focus on patient voluntariness,autonomy,long-term effects and related assessments of BCI interventions,as well as privacy protection,transparent reporting and ensuring that the research is conducted in qualified institutions with strong data security.Conclusions Ethical governance of clinical research on BCI for mental disorders should include interdisciplinary experts to balance various needs and incorporate the expertise of different stakeholders to avoid serious ethical issues.It requires scientifically grounded approaches,continuous monitoring and interdisciplinary collaboration to ensure evidence-based policies,comprehensive risk assessments and transparency,thereby promoting responsible innovations and protecting patient rights and well-being.
基金supported by the Project of Sanya Yazhou Bay Science and Technology City (SKJC-JYRC-2024-26)the National Natural Science Foundation of China (32460072)+4 种基金Hainan Provincial Natural Science Foundation of China (323RC421)the Hainan Province Science and Technology Special Fund (ZDYF2022XDNY144)the Hainan Provincial Academician Innovation Platform Project (HDYSZX-202004)the Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture, Hainan University (XTCX2022NYB06)Hainan Postdoctoral Research Grant Project
文摘In light of the pressing global challenges of climate change,declining crop resilience,and hidden hunger,it is imperative to overcome the limitations of conventional crop breeding to enhance both the nutritional quality and stress tolerance of crops.Synthetic metabolic engineering presents innovative strategies for the precision modification and de novo design of metabolic pathways.This approach generally encompasses three essential steps:identifying key metabolites through metabolomics,integrating multi-omics technologies to investigate the synthesis and regulation of these metabolites,and utilizing gene editing or de novo design to modify crop metabolic pathways associated with desirable agronomic traits.This review underscores the vital role of plant metabolite diversity in enhancing crop nutritional quality and stress resilience.Integrated multi-omics analyses facilitate the metabolic engineering by identifying key genes,transporters,and transcription factors that regulate metabolite biosynthesis.Precision modification strategies employ genome editing tools to reprogram endogenous metabolic networks,while de novo design reconstructs metabolic pathways through the introduction of exogenous biological elements—thereby both approaches enable the targeted enhancement of desired traits.These strategies have been effectively implemented in major food crops.However,simultaneously enhancing nutritional quality and stress resilience remains challenging due to inherent trade-offs and resource competition in distinct metabolic pathways within plants.Future research should integrate AI-driven predictive models with multi-omics datasets to decipher dynamic metabolic homeostasis and engineer climate-smart crops that maximize yield while preserving quality and environmental adaptability.
基金supported by the National Natural Science Foundation of China,Nos.32271043(to ZW)and 82171047(to YM)the both Science and Technology Major Project of Shanghai,No.2018SHZDZX01 and ZJLabShanghai Center for Brain Science and Brain-Inspired Technology(to ZW)。
文摘Downregulation of the inwardly rectifying potassium channel Kir4.1 is a key step for inducing retinal Müller cell activation and interaction with other glial cells,which is involved in retinal ganglion cell apoptosis in glaucoma.Modulation of Kir4.1 expression in Müller cells may therefore be a potential strategy for attenuating retinal ganglion cell damage in glaucoma.In this study,we identified seven predicted phosphorylation sites in Kir4.1 and constructed lentiviral expression systems expressing Kir4.1 mutated at each site to prevent phosphorylation.Following this,we treated Müller glial cells in vitro and in vivo with the m Glu R I agonist DHPG to induce Kir4.1 or Kir4.1 Tyr^(9)Asp overexpression.We found that both Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression inhibited activation of Müller glial cells.Subsequently,we established a rat model of chronic ocular hypertension by injecting microbeads into the anterior chamber and overexpressed Kir4.1 or Kir4.1 Tyr^(9)Asp in the eye,and observed similar results in Müller cells in vivo as those seen in vitro.Both Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression inhibited Müller cell activation,regulated the balance of Bax/Bcl-2,and reduced the m RNA and protein levels of pro-inflammatory factors,including interleukin-1βand tumor necrosis factor-α.Furthermore,we investigated the regulatory effects of Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression on the release of pro-inflammatory factors in a co-culture system of Müller glial cells and microglia.In this co-culture system,we observed elevated adenosine triphosphate concentrations in activated Müller cells,increased levels of translocator protein(a marker of microglial activation),and elevated interleukin-1βm RNA and protein levels in microglia induced by activated Müller cells.These changes could be reversed by Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression in Müller cells.Kir4.1 overexpression,but not Kir4.1 Tyr^(9)Asp overexpression,reduced the number of proliferative and migratory microglia induced by activated Müller cells.Collectively,these results suggest that the tyrosine residue at position nine in Kir4.1 may serve as a functional modulation site in the retina in an experimental model of glaucoma.Kir4.1 and Kir4.1 Tyr^(9)Asp overexpression attenuated Müller cell activation,reduced ATP/P2X receptor–mediated interactions between glial cells,inhibited microglial activation,and decreased the synthesis and release of pro-inflammatory factors,consequently ameliorating retinal ganglion cell apoptosis in glaucoma.
基金supported by STI2030-Major Project,No,2021ZD0204200(to LX).
文摘Neurodegenerative diseases,which are characterized by progressive neuronal loss and the lack of disease-modifying therapies,are becoming a major global health challenge.The existing neuromodulation techniques,such as deep brain stimulation and transcranial magnetic stimulation,show limitations such as invasiveness,restricted cortical targeting,and irreversible tissue effects.In this context,low-intensity transcranial ultrasound has emerged as a promising noninvasive alternative that can penetrate deep into the brain and modulate neuroplasticity.This review comprehensively assesses the therapeutic mechanisms,efficacy,and translational potential of low-intensity transcranial ultrasound in treating neurodegenerative diseases,with emphasis on its role in promoting neuronal regeneration,modulating neuroinflammation,and enhancing functional recovery.We summarize the findings of previous studies and systematically illustrate the potential of low-intensity transcranial ultrasound in regulating cell death mechanisms,enhancing neural repair and regeneration,and alleviating symptoms associated with neurodegenerative diseases.Preclinical findings indicate that low-intensity transcranial ultrasound can enhance the release of neurotrophic factors(e.g.,brain-derived neurotrophic factor),promote autophagy to clear protein aggregates,modulate microglial activation,and temporarily open the blood-brain barrier to facilitate targeted drug delivery.Existing clinical trial data show that low-intensity transcranial ultrasound can reduce amyloid-βplaques,improve motor and cognitive deficits,and promote remyelination in various disease models.Early clinical trials suggest that low-intensity transcranial ultrasound may enhance cognitive scores in Alzheimer’s disease and alleviate motor symptoms in Parkinson’s disease,all while demonstrating a favorable safety profile.Past studies support the notion that by integrating safety,precision,and reversibility,low-intensity transcranial ultrasound can transform the treatment landscape for neurodegenerative disease.However,more advancements are necessary for future clinical application of low-intensity transcranial ultrasound,including optimizing parameters such as frequency,intensity,and duty cycle;considering individual anatomical differences;and confirming long-term efficacy.We believe establishing standardized protocols,conducting larger trials,and investigating the underlying mechanisms to clarify dose-response relationships and refine personalized application strategies are essential in this regard.Future research should focus on translating preclinical findings into clinical practice,addressing technical challenges,and exploring combination therapies with pharmacological or gene interventions.
基金supported by the National Natural Science Foundation of China(No.12372045)the National Key Research and the Development Program of China(Nos.2023YFC2205900,2023YFC2205901)。
文摘This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mission is disturbed by the measurement noise and the target adversarial behavior.To address these problems,a model-free Combined Adaptive-length Datadriven Predictive Controller(CADPC)is proposed.It consists of a separated subsystem identification method and a combined predictive control strategy.The subsystem identification method is composed of an adaptive data length,thereby reducing sensitivity to undetermined measurement noises and disturbances.Based on the subsystem identification,the combined predictive controller is established,reducing calculating resource.The stability of the CADPC is rigorously proven using the Input-to-State Stable(ISS)theorem and the small-gain theorem.Simulations demonstrate that CADPC effectively handles the model-free space robot post operation in the presence of significant disturbances,state measurement noise,and control input errors.It achieves improved steady-state accuracy,reduced steady-state control consumption,and minimized control input chattering.
基金Guangdong Basic and Applied Basic Research Foundation(2023B1515120050,2023A1515110529 and 2024A1515012454)Shenzhen Science and Technology Program(JCYJ20230807145759008 and KJZD20240903100206009).
文摘Acetolactate synthase(ALS)-targeting herbicides are among the most widely used weed-control chemicals globally.Mutations in the ALS gene can confer herbicide resistance in crops,thereby allowing selective elimination of weeds without harming crops.Herbicide-resistant ALS alleles were initially discovered in weeds and subsequently developed through artificial mutagenesis techniques.With the advancement of CRISPR/Cas technologies,various genome-editing tools are now available to introduce these resistant alleles,as well as novel variants,into diverse crop species.Moreover,emerging methodologies,such as directed evolution,enable the generation and screening of large populations of random ALS mutants.Consequently,ALS has become one of the most extensively targeted genes in plant gene evolution.This paper provides a comprehensive overview of both conventional and recently developed strategies for ALS evolution,with particular emphasis on CRISPR/Cas-based genome editing and directed evolution.Future perspectives on technological application are also discussed.By advancing our understanding of herbicide-resistant ALS allele development for crop improvement,these methodologies may also pave the way for their application to the evolution of other agronomically important genes.
文摘BACKGROUND Antimicrobial resistance(AMR)is an escalating global health threat,disproportionately impacting low-income and middle-income countries like India.The rise of multidrug-resistant organisms(MDROs)complicates treatment,increases healthcare costs,and contributes to higher morbidity and mortality.In India,factors such as antibiotic misuse,over-the-counter availability,and self-medication have exacerbated this crisis.Despite the urgency,regional data on MDRO prevalence remains limited.AIM To assess the burden and distribution of MDRO infections identified at a tertiary healthcare institute in North India.METHODS This cross-sectional study analyzed inpatient data from All India Institute of Medical Sciences(AIIMS)Rishikesh using the E-hospital database from May 2021 to February 2024,except 2022.All inpatients with culture-confirmed MDRO infections were included.Patient charts and discharge summaries were reviewed.Data analysis was performed using Jamovi software,with descriptive statistics summarizing demographics.Theχ²test was used to assess associations between MDROs and various factors.Ethical approval was obtained,and patient confidentiality was maintained.RESULTS This study included 820 participants having 1106 MDROs.The majority of patients were aged 35-64 years,with a male predominance(57.6%).Most cases were from Uttar Pradesh(49.1%)and Uttarakhand(47.6%),with Bijnor and Haridwar districts reporting the highest burden from their respective states.Klebsiella pneumoniae(K.pneumoniae)(30.6%),Acinetobacter baumannii(16.7%),and Escherichia coli(E.coli)(16.7%)were the most common MDROs.Urine was the most frequent sample type(51.0%),with K.pneumoniae as the leading pathogen.Infections varied significantly across departments(P<0.001),with General Medicine and Surgery reporting the highest burden.E.coli and Klebsiella spp.were most prevalent in these departments respectively.MDRO prevalence fluctuated over time,with significant variations by quarter(P<0.001).Following the second coronavirus disease 2019 wave,there was a rapid surge in MDROs,which stabilized after approximately three months.The overall mortality among patients harboring MDROs was 25.9%.CONCLUSION This study highlights the burden of MDROs among patients at AIIMS Rishikesh,with K.pneumoniae as the predominant pathogen.Strengthening antimicrobial stewardship and infection control measures is essential to combat rising AMR,with department-specific,and pathogen-specific stewardships.
基金supported by the P.G.Senapathy Center for Computing Resources at IIT Madrasfunding provided by the Ministry of Education,Government of Indiasupported by the National Natural Science Foundation of China(Grant Nos.12388101,12472224 and 92252104).
文摘This paper presents an Eulerian-Lagrangian algorithm for direct numerical simulation(DNS)of particle-laden flows.The algorithm is applicable to perform simulations of dilute suspensions of small inertial particles in turbulent carrier flow.The Eulerian framework numerically resolves turbulent carrier flow using a parallelized,finite-volume DNS solver on a staggered Cartesian grid.Particles are tracked using a point-particle method utilizing a Lagrangian particle tracking(LPT)algorithm.The proposed Eulerian-Lagrangian algorithm is validated using an inertial particle-laden turbulent channel flow for different Stokes number cases.The particle concentration profiles and higher-order statistics of the carrier and dispersed phases agree well with the benchmark results.We investigated the effect of fluid velocity interpolation and numerical integration schemes of particle tracking algorithms on particle dispersion statistics.The suitability of fluid velocity interpolation schemes for predicting the particle dispersion statistics is discussed in the framework of the particle tracking algorithm coupled to the finite-volume solver.In addition,we present parallelization strategies implemented in the algorithm and evaluate their parallel performance.
基金supported by CARS(CARS-21),the CAMS Innovation Fund for Medical Sciences(2021-I2M-1-032)the Science and Technology Department of Xizang(XZ202401ZY0020)+2 种基金the Science and Technology Department of Sichuan Province(2023YFH0044,2023YFH0018)the Sichuan Province Science Foundation for Distinguished Young Scholars(2022JDJQ0006)the Doctoral Fund of Southwest University of Science and Technology(19ZX7117,21ZX7116).
文摘Saikosaponins are the major pharmacologically active components in Bupleurum genus and exhibit significant application potential in multiple fields such as immune regulation and anti-tumor activity.To elucidate the biosynthetic pathway of saikosaponins,we identified two cytochrome P450 monooxygenases,CYP716A41 and CYP716Y4,in Bupleurum chinense.These enzymes catalyze the C-28 oxidation and C-16 hydroxylation of oleanane-type triterpene skeletons,respectively.The catalytic efficiency of CYP716A41 from a southern B.chinense variety was significantly higher than that from a northern variety.Molecular docking and mutagenesis experiments revealed that amino acid residues at sites 9 and 35 may contribute to this difference in catalytic efficiency.Additionally,under cold stress,the expression levels of both CYP450 genes and the saikosaponin contents in the leaves of southern varieties were significantly higher compared to those in northern varieties.The variation in the catalytic efficiency of CYP716A41 and the differential expression of the two CYP450 genes under cold stress during winter are associated with the differences in saikosaponin biosynthesis in the leaves of southern and northern B.chinense varieties.This is consistent with the distinct medicinal usage practices observed between southern and northern China.
基金supported by the National Natural Science Foundation of China(31872706)the National Key Research and Development Program of China(2019 YFD1000603).
文摘Zanthoxylum bungeanum is an economically important crop worldwide due to its high content of aroma-producing monoterpenoids,and development of varieties with enhanced flavor and overall quality is a crucial research area.However,the transcriptional regulatory mechanisms underlying monoterpenoid synthesis in Z.bungeanum remain unclear,hindering these breeding efforts.In this study,RNA sequencing,gas chromatography–mass spectrometry,and other molecular biology techniques were used to identify the underlying transcriptional regulation mechanisms.Two transcription factors,ZbbHLH2 and ZbERF6,were identified as key regulators of monoterpenoid synthesis in Z.bungeanum that upregulate various monoterpenoid synthesis-associated genes and are novel transcriptional activators of ZbIDI,which encodes the rate-limiting enzyme in plant monoterpenoid synthesis.Functional analysis revealed that the expression of three genes[1]modulates monoterpenoid accumulation in Z.bungeanum peel.These findings provide novel insights into the metabolic regulatory network of monoterpenoid synthesis in Z.bungeanum peel,offer potential strategies for the biofortification of specific monoterpenoids,and will promote the development of Z.bungeanum germplasm for targeted breeding and quality improvement.
