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Unlocking hypoglycemia–associated brain microvascular dysfunction:critical insights from proteomic analysis

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Neural Regeneration Research 2025年第6期20卷 1707-1708页

作者： Siva S.V.P.Sakamuri anil Sakamuri Department of Chemistry Auburn University at MontgomeryMontgomeryALUSA Vascular Biology Center and Department of Medicine Medical College of Georgia at Augusta UniversityAugustaGAUSA

Hypoglycemia-a critical complication linked to worsened brain function in diabetic subjects:Hypoglycemia is characterized by a decline in circulatory glucose levels below sta nda rd physiological *** hypoglycemia,classified as level 1 hypoglycemia,is defined by blood glucose levels below 70 mg/dL and can be effectively addressed through carbohydrate *** hypoglycemia,denoted by blood glucose levels less than 54 mg/dL,poses a life-threatening risk if left *** with type 1 and type 2 diabetes undergoing insulin treatment are particularly susceptible to hypoglycemia due to impaired counterregulatory mechanisms.

关键词： impaired intake critical

Microstructure transformations and improving wear resistance of austenitic stainless steel additively fabricated by arc-based DED process

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Defence Technology（防务技术） 2024年第8期38卷 194-204页

作者： Ashish Yadav Manu Srivastava Prashant k.jain Sandeep Rathee Hybrid Additive Manufacturing Laboratory Mechanical Engineering DepartmentPDPM Indian Institute of Information TechnologyDesign&ManufacturingJabalpur482005Madhya PradeshIndia FFF Laboratory Mechanical Engineering DepartmentPDPM Indian Institute of Information TechnologyDesign&ManufacturingJabalpur482005Madhya PradeshIndia Department of Mechanical Engineering National Institute of TechnologySrinagarIndia

In this study, austenitic stainless steel(ASS) was additively fabricated by an arc-based direct energy deposition(DED) technique. Macrostructure, microstructure, mechanical characteristics at different spatial orientations(0°, 90°, and 45°), and wear characteristics were evaluated at the deposited structure top, middle, and bottom regions. Results show that austenite(γ) and delta-ferrite(δ) phases make up most of the microstructure of additively fabricated SS316LSi steel. Within γ matrix, δ phase is dispersed both(within and along) grain boundaries, exhibiting a fine vermicular morphology. The bottom, middle,and top regions of WAAM deposited ASS exhibit similar values to those of wrought SS316L in the tensile and impact test findings. Notably, a drop in hardness values is observed as build height increases. During SEM examinations of fractured surfaces from tensile specimen, closed dimples were observed, indicating good ductility of as-built structure. Wear test findings show signs of mild oxidation and usual adhesive wear. By depositing a mechanically mixed composite layer, an increase in the oxidation percentage was discovered to facilitate healing of worn surfaces. The findings of this study will help in design, production and renovation of products/components that are prone to wear. WAAM-deposited ASS has remarkable strength and ability to withstand impacts;it can be used in the production of armour plates for defence applications, mainly military vehicles and aircraft.

关键词： Metal additive deposition Defence applications Arc-based DED Characterization Wear behaviour Fractography

Elastoplastic analysis of AA7075-O aluminum sheet by hybrid micro-scale representative volume element modeling with really-distributed particles and in-situ SEM experimental testing

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Journal of Materials Science & Technology 2022年第28期123卷 201-221页

作者： Qingping Sun Shahryar Asqardoust Abhishek Sarmah Mukesh k.jain College of Aerospace and Civil Engineering Harbin Engineering UniversityHarbin 150001China Department of Mechanical Engineering McMaster UniversityHamiltonON L8S4L7Canada

This paper addresses the challenge of reconstructing randomly distributed second-phase particlestrengthened microstructure of AA7075-O aluminum sheet material for computational *** particle characteristics in 3D space were obtained from focused ion beam and scanning electron microscopy(FIB-SEM)and SEM-based Electron Backscatter Diffraction/Energy Dispersive X-ray Spectrometry(EBSD/EDS)techniques.A theoretical framework for analysis of elastic-plastic deformation of such3D microstructures is ***-induced shear band formation,void initiation,growth and linkage at large plastic strains during uniaxial tensile loading were investigated based on reconstructed 3D representative volume element(RVE)models with real-distribution of particles and the results compared with experimental ***-situ SEM interrupted tension tests along transverse direction(TD)and rolling direction(RD),employing microscopic-digital image correlation(μ-DIC)technique,were carried out to investigate slip bands,micro-voids formation and obtain microstructural strain *** resulting local strain maps were analyzed in relation to the experimentally observed plastic flow localization,failure modes and local stress maps from simulations of RVE *** influences of particle size,shape,orientation,volume fraction as well as matrix-particle interface properties on local plastic deformation,global stress-strain/strain-hardening curves and interfacial failure mechanisms were studied based on 3D RVE *** possible,the model results were compared with in-situ tensile test *** general,good agreement was observed,indicating that the real 3D microstructure-based RVE models can accurately predict the plastic deformation and interfacial failure evolution in AA7075-O aluminum sheet.

关键词： Representative volume element AA7075-O aluminum sheet In-situ SEM Microscopic-digital image correlation(μ-DIC) Elastoplastic behavior

G6PD deficiency shifts polarization of monocytes/macrophages towards a proinflammatory and profibrotic phenotype

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Cellular & Molecular Immunology 2021年第3期18卷 770-772页

作者： Rajesh Parsanathan Sushil k.jain Department of Pediatrics and Center for Cardiovascular Diseases and Sciences Louisiana State University Health Sciences Center-Shreveport1501 Kings HighwayShreveportLA 71130USA

Glucose-6-phosphate dehydrogenase(G6PD)deficiency is the most common inherited trait and affects-7% of the global *** G6PD A^(-)variant(class Ⅲ),which has mild-tomoderate residual enzymatic activity(10-60%),is present in 11-14% of African American(AA)***-analysis and epidemiological studies from different countries have shown that individuals with G6PD deficiency have an increased risk of developing diabetes and cardiovascular disease.

关键词： G6PD population. cardiovascular

Patch graft for pterygium surgery:stitch it or stick it?

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Annals of Eye Science 2017年第1期2卷 344-348页

作者： Arun k.jain Parul Goyal Chintan Malhotra Cornea Cataract&Refractive Surgery ServicesAdvanced Eye CentrePost Graduate Institute of Medical Education and ResearchChandigarhIndia

Pterygia are an extremely common ocular condition believed to be occurring due to proliferation and overgrowth of abnormal epithelial and fibrovascular tissue onto the *** are characterized by cellular proliferation,neovascularization and *** for treatment vary from minor cosmetic concerns to significant visual *** options include an array of surgical techniques including simple resection(leaving the sclera bare),or resection followed by covering the sclera with primary conjunctival closure,a conjunctival or conjunctivolimbal autograft(CAG and CLAG respectively)from another site on the bulbar conjunctiva of the same eye,or with human amniotic membrane(HAM).

关键词： graft surgery ocular

Scrupulous recognition of biologically important acids by fluorescent ＂turn off-on＂ mechanism of thaicalix reduced silver nanoparticles

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Chinese Chemical Letters 2017年第2期28卷 312-318页

作者： Savan M.Darjee keyur D.Bhatt Urvi S.Panchal Vinod k.jain Department of Chemistry School of Sciences Gujarat University Ahmedabad 380009 India Department of Chemistry C.U. Shah University Wadhwan 363030 India

Water dispersible silver nanoparticles（AgNps） were prepared using thiacalix[4]arene tetrahydrazide（TCTH） as a reducing and stabilizing ***-AgNps were characterized by surface plasmon resonance（SPR）,transmission electron microscopy（TEM） and energy dispersive X-ray（EDX）.Relatively uniform 20 nm spherical particles of TCTH-AgNps were efficiently formed over a pH range of 5-9 and from 10-40 ℃.The interaction behavior of TCTH-AgNps with different amino acids was investigated using spectrophotometry and *** the amino acids tested,only tryptophan and histidine showed fluorescence quenching and fluorescence enhancement,*** linear detection range by Stern-Volmer plot was 5 nmol/L to 0.48 μmol/L for tryptophan and 4 nmol/L to 0.54 μmol/L for ***-AgNps were able to effectively reduce the levels of gram-positive bacteria,gram-negative bacteria,and *** properties argue for the potential use of TCTH-AgNps as detectors of histidine and tryptophan and as antibiotics.

关键词： Silver nanoparticles Fluorescent sensor Colorimetric sensor Thiacalixarene

A Comprehensive Survey on Federated Learning Applications in Computational Mental Healthcare

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 49-90页

作者： Vajratiya Vajrobol Geetika jain Saxena Amit Pundir Sanjeev Singh Akshat Gaurav Savi Bansal Razaz Waheeb Attar Mosiur Rahman Brij B.Gupta Institute of Informatics and Communication University of DelhiDelhi110021India Maharaja Agrasen College University of DelhiDelhi110096India Computer Engineering Ronin InstituteMontclairNJ 07043USA Department of Research and Innovation Insights2TechinfoJaipur302001India University Centre for Research and Development(UCRD) Chandigarh UniversityChandigarh140413India Management Department College of Business AdministrationPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia CCRI&Department of Computer Science and Information Engineering Asia UniversityTaichung413Taiwan Symbiosis Centre for Information Technology(SCIT) Symbiosis International UniversityPune411057India Center for Interdisciplinary Research University of Petroleum and Energy Studies(UPES)Dehradun248007India

Mental health is a significant issue worldwide,and the utilization of technology to assist mental health has seen a growing *** aims to alleviate the workload on healthcare professionals and aid *** applications have been developed to support the challenges in intelligent healthcare ***,because mental health data is sensitive,privacy concerns have *** learning has gotten some *** research reviews the studies on federated learning and mental health related to solving the issue of intelligent healthcare *** explores various dimensions of federated learning in mental health,such as datasets(their types and sources),applications categorized based on mental health symptoms,federated mental health frameworks,federated machine learning,federated deep learning,and the benefits of federated learning in mental health *** research conducts surveys to evaluate the current state of mental health applications,mainly focusing on the role of Federated Learning(FL)and related privacy and data security *** survey provides valuable insights into how these applications are emerging and evolving,specifically emphasizing FL’s impact.

关键词： Depression emotional recognition intelligent healthcare systems mental health federated learning stress detection sleep behaviour

Fuzzy Logic Based Group Maturity Rating for Software Performance Prediction

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International Journal of Automation and computing 2007年第4期4卷 406-412页

作者： A.k.Verma anil R Om Prakash jain Indian Institute of Technology Bombay PowaiMumbai 400076India Larsen & Toubro Infotech Limited PowaiMumbai 400072India

Driven by market requirements, software services organizations have adopted various software engineering process models （such as capability maturity model （CMM）, capability maturity model integration （CMMI）, ISO 9001：2000, etc.） and practice of the project management concepts defined in the project management body of knowledge. While this has definitely helped organizations to bring some methods into the software development madness, there always exists a demand for comparing various groups within the organization in terms of the practice of these defined process models. Even though there exist many metrics for comparison, considering the variety of projects in terms of technology, life cycle, etc., finding a single metric that caters to this is a difficult task. This paper proposes a model for arriving at a rating on group maturity within the organization. Considering the linguistic or imprecise and uncertain nature of software measurements, fuzzy logic approach is used for the proposed model. Without the barriers like technology or life cycle difference, the proposed model helps the organization to compare different groups within it with reasonable precision.

关键词： Group maturity rating fuzzy logic fuzzy sets historical data software projects.

Predicting Lumbar Spondylolisthesis: A Hybrid Deep Learning Approach

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Intelligent Automation & Soft Computing 2023年第8期37卷 2133-2151页

作者： Deepika Saravagi Shweta Agrawal Manisha Saravagi Sanjiv k.jain Bhisham Sharma Abolfazl Mehbodniya Subrata Chowdhury Julian L.Webber Department of Computer Application SAGE UniversityIndore452012Madhya PradeshIndia IAC SAGE UniversityIndore452012Madhya PradeshIndia Shivang College of Physiotherapy Ratlam4570021Madhya PradeshIndia Medi-Caps University Rau IndoreMadhya Pradesh453331India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Department of Electronics and Communication Engineering Kuwait College of Science and Technology(KCST)DohaKuwait Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management StudiesChittoorAndra PradeshIndia

Spondylolisthesis is a chronic disease,and a timely diagnosis of it may help in avoiding *** identification in x-ray radiographs is very *** the feature extraction tool in VGG16 has improved the classification *** the fully connected layers of VGG16 are not efficient at capturing the positional structure of an object in *** network(CapsNet)works with capsules(neuron clusters)rather than a single neuron to grasp the properties of the provided image to match the *** this study,an integrated model that is a combination of VGG16 and CapsNet(S-VCNet)is *** the model,VGG16 is used as a feature *** feature extraction,the output is fed to CapsNet for disease identification.A private dataset is used that contains 466 X-ray radiographs,including 186 images displaying a spine with spondylolisthesis and 280 images depicting a normal *** suggested model is the first step towards developing a web-based radiological diagnosis tool that can be utilized in outpatient clinics where there are not enough qualified medical *** results demonstrate that the developed model outperformed the other models that are used for lumbar spondylolisthesis diagnosis with 98%*** the performance check,the model has been successfully deployed on the Gradio web app platform to produce the outcome in less than 20 s.

关键词： Gradio lumbar spondylolisthesis transfer learning VGG16 machine learning deep learning