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Exploring the synergy of the eyebrain connection:neuromodulation approaches for neurodegenerative disorders through transcorneal electrical stimulation

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Neural Regeneration Research 2024年第10期19卷 2097-2098页

作者： Antara verma Stephen K.Agadagba Leanne Lai-Hang Chan Department of Electrical Engineering City University of Hong KongKowloonHong Kong Special Administrative RegionChina Centre for Eye and Vision Research Ltd. Hong Kong Special Administrative RegionChina Pennsylvania State University University ParkPAUSA

The connection and interaction between the eye and the brain are crucial to understanding brain disorders(Marchesi et al.,2021).Both the eye and the brain have a limited regenerative capacity as there are few progenitor cells,and nerve cells do not ***,neurodegeneration implicates irreversible damage to the central nervous system,as observed in several neurodegenerative diseases(Marchesi et al.,2021).

关键词： stimulation degenerative

Investigating the Evolution of Amati Parameters with Redshift

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Research in Astronomy and Astrophysics 2024年第1期24卷 188-200页

作者： Meghendra Singh Darshan Singh Kanhaiya Lal Pandey Dinkar verma Shashikant Gupta Delhi Metro Rail Corporation Limited New Delhi 110001India GD Goenka University Gurugram 122103India Department of Physics Mata Raj Kaur Institute of Engineering and TechnologyRewari 123401India Department of Physics School of Advanced SciencesVellore Institute of TechnologyVellore 632014India

Gamma-ray bursts(GRBs) are among the brightest objects in the Universe and, hence, can be observed up to a very high redshift. Properly calibrated empirical correlations between intensity and spectral correlations of GRBs can be used to estimate the cosmological parameters. However, the possibility of the evolution of GRBs with redshift is a long-standing puzzle. In this work, we used 162 long-duration GRBs to determine whether GRBs below and above a certain redshift have different properties. The GRBs are split into two groups, and we fit the Amati relation for each group separately. Our findings demonstrate that estimations of the Amati parameters for the two groups are substantially dissimilar. We perform simulations to investigate whether the selection effects could cause the difference. Our analysis shows that the differences may be either intrinsic or due to systematic errors in the data, and the selection effects are not their true origin. However, in-depth analysis with a new data set comprised of 119 long GRBs shows that intrinsic scatter may partly be responsible for such effects.

关键词： Cosmology gamma rays:general (cosmology:)large-scale structure of universe galaxies:high-redshift

Tailored nutritional interventions: A precision approach to managing gestational diabetes mellitus

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World Journal of Diabetes 2024年第5期15卷 1045-1047页

作者： Babita Pande Henu Kumar verma LVKS Bhaskar Department of Physiology All India Institute of Medical ScienceChhattisgarhRaipur 492001India Lung Health and Immunity Helmholtz Zentrum MunichBayrenMunich 85764Germany Department of Zoology Guru Ghasidas VishwavidyalayaChhattisgarhBilaspur 495001India

Gestational diabetes mellitus(GDM)is a risk to maternal-fetal health due to uncertain diagnostic criteria and treatment ***'s study demonstrated the efficacy of customized nutritional therapies in controlling *** strategies led to significant body weight loss,improved glucolipid metabolism,and fewer prenatal and newborn *** holistic approach,which emphasizes the notion of’chrononutrition’,takes into account optimal meal timing that is in sync with circadian rhythms,as well as enhanced sleep *** tailored dietary therapy,managing meal timing,and ensuring appropriate sleep may improve results for women with GDM,opening up a possible avenue for multi-center trials.

关键词： Gestational diabetes mellitus Metabolism Nutrition Maternal-fetal health Dietary therapy

Numerical investigation on MHD Jeffery-Hamel nanofluid flow with different nanoparticles using fuzzy extension of generalized dual parametric homotopy algorithm

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Journal of Central South University 2024年第6期31卷 1915-1930页

作者： LALCHAND verma RAMAKANTA Meher Department of Mathematics Sardar Vallabhbhai National Institute of TechnologySurat-395007GujratIndia

This study considers an MHD Jeffery-Hamel nanofluid flow with distinct nanoparticles such as copper,Al_(2)O_(3)and SiO_(2)between two rigid non-parallel plane walls with the fuzzy extension of the generalized dual parametric homotopy *** nanofluids have been formulated to enhance the thermophysical characteristics of fluids,including thermal diffusivity,conductivity,convective heat transfer coefficients and *** to the presence of distinct nanofluids,a change in the value of volume fraction occurs that influences the velocity profiles of the *** short value of nanoparticles volume fraction is considered an uncertain parameter and represented in a triangular fuzzy number range among[0.0,0.1,0.2].A novel generalized dual parametric homotopy algorithm with fuzzy extension is used here to study the fuzzy velocities at various channel ***,the effectiveness of the proposed approach has been demonstrated through a comparison with the available results in the crisp case.

关键词： fuzzy number Jeffery-Hamel(J-H)flow nanofluid homotopy analysis method

Direct recycling of Li-ion batteries from cell to pack level:Challenges and prospects on technology,scalability,sustainability,and economics

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Carbon Energy 2024年第6期6卷 1-39页

作者： Joseph Jegan Roy Do Minh Phuong Vivek verma Richa Chaudhary Michael Carboni Daniel Meyer Bin Cao Madhavi Srinivasan Energy Research Institute@NTU(ERI@N) SCARCE LaboratoryNanyang Technological UniversitySingaporeSingapore School of Materials Science and Engineering Nanyang Technological UniversitySingaporeSingapore CEA CNRSENSCMUniversity of MontpellierUMR 5257(ICSM)Bagnols-sur-Cèze CedexFrance School of Civil and Environmental Engineering Nanyang Technological UniversitySingaporeSingapore

Direct recycling is a novel approach to overcoming the drawbacks of conventional lithium-ion battery(LIB)recycling processes and has gained considerable attention from the academic and industrial sectors in recent *** primary objective of directly recycling LIBs is to efficiently recover and restore the active electrode materials and other components in the solid phase while retaining electrochemical *** technology's advantages over traditional pyrometallurgy and hydrometallurgy are costeffectiveness,energy efficiency,and sustainability,and it preserves the material structure and morphology and can shorten the overall recycling *** review extensively discusses the advancements in the direct recycling of LIBs,including battery sorting,pretreatment processes,separation of cathode and anode materials,and regeneration and quality enhancement of electrode *** encompasses various approaches to successfully regenerate high-value electrode materials and streamlining the recovery process without compromising their electrochemical ***,we highlight key challenges in direct recycling when scaled from lab to industries in four perspectives:(1)battery design,(2)disassembling,(3)electrode delamination,and(4)commercialization and *** on these challenges and changing market trends,a few strategies are discussed to aid direct recycling efforts,such as binders,electrolyte selection,and alternative battery designs;and recent transitions and technological advancements in the battery industry are presented.

关键词： battery design cathode regeneration direct recycling graphite recycling lithium-ion battery,scaling-up

Maximizing Resource Efficiency in Cloud Data Centers through Knowledge-Based Flower Pollination Algorithm (KB-FPA)

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Computers, Materials & Continua 2024年第6期79卷 3757-3782页

作者： Nidhika Chauhan Navneet Kaur Kamaljit Singh Saini Sahil verma Kavita Ruba Abu Khurma Pedro A.Castillo University Institute of Computing Department Chandigarh UniversityPunjab140413India Department of Computer Science and Engineering Chandigarh UniversityPunjab140413India Universidade Federal do Piauí TeresinaPiauí64049-550Brazil MEU Research Unit Faculty of Information TechnologyMiddle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan Department of Computer Engineering Automatics and RoboticsUniversity of GranadaGranada18071Spain

Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates *** paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing *** motivation stems from the pressing issue of accommodating fluctuating levels of user demand *** adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy *** reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing *** enhance the resource allocation process,we introduce a novel knowledge-based optimization *** this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly *** findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption *** paper underscores the profound significance of resource allocation in the realm of cloud *** addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing *** contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.

关键词： Cloud computing resource allocation energy consumption optimization algorithm flower pollination algorithm

Optimizing Biodiesel Production from Karanja and Algae Oil with Nano Catalyst:RSMand ANN Approach

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Energy Engineering 2024年第9期121卷 2363-2388页

作者： Sujeet Kesharvani Sakhi Katre Suyasha Pandey Gaurav Dwivedi Tikendra Nath verma Prashant Baredar Energy Centre Maulana Azad National Institute of TechnologyBhopal462003India Department of Mechanical Engineering Maulana Azad National Institute of TechnologyBhopal462003India

This study delves into biodiesel synthesis from non-edible oils and algae oil sources using Response Surface Methodology(RSM)and an Artificial Neural Network(ANN)model to optimize biodiesel *** of *** and Karanja oils is utilized,aiming to reduce free fatty acid content to 1%through single-step *** reveals peak biodiesel yield conditions:1%catalyst quantity,91.47 min reaction time,56.86℃reaction temperature,and 8.46:1 methanol to oil molar *** ANN model outperforms RSM in yield prediction *** impact assessment yields an E-factor of 0.0251 at maximum yield,indicating responsible production with minimal *** analysis reveals significant cost savings:30%-50%reduction in raw material costs by using non-edible oils,10%-15%increase in production efficiency,20%reduction in catalyst costs,and 15%-20%savings in energy *** optimized process reduces waste disposal costs by 10%-15%,enhancing overall economic ***,the widespread adoption of biodiesel offers economic,environmental,and social benefits to a diverse range of stakeholders,including farmers,producers,consumers,governments,environmental organizations,and the transportation *** among these stakeholders is essential for realizing the full potential of biodiesel as a sustainable energy solution.

关键词： Non-edible oil algae RSM ANN optimization environmental factor

Optics-based metaheuristic approach to assess critical failure surfaces in both circular and non-circular failure modes for slope stability analysis

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Rock Mechanics Bulletin

Rock Mechanics Bulletin 2024年第1期3卷 37-54页

作者： Jayraj Singh Amit Kumar verma Haider Banka Ravishankar kumar Amit Jaiswal Department of Computer Science&Engineering NIIT UniversityRajasthanIndia Department of Civil&Environment Engineering Indian Institute of TechnologyPatnaBihar801106India Department of Computer Science&Engineering Indian Institute of Technology(ISM)DhanbadJharkhand826004India Department of Mining Bharat Coking Coal LimitedDhanbadJharkhand826005India

In many construction projects,a proactive slope stability evaluation is a *** many deterministic or non-deterministic approaches have been commonly used,metaheuristic approaches have resulted in high precision and significant outcomes for slope stability analysis *** current work focuses on the reliable assessment of critical failure surfaces associated with the least factor of safety value in both homogeneous and non-homogeneous slopes using a new simplified meta-heuristic approach called optics-inspired optimization(OIO).The algorithm utilizes six different LEM methods as a fitness function for deriving the factor of *** analysis over three benchmark studies has been performed to demonstrate the algorithm's robustness and *** implementation found more robust results as compared to previous ***,the algorithm's statistical implication is conducted using the ANOVA test,which inferred better *** this interpretation,the approach claims to be suitable and efficient for slope stability analysis.

关键词： OIO-Algorithm Metaheuristic algorithms Slope stability analysis Critical failure surface LEM'S procedure

Angular unconformity in Pennsylvanian strata from 3-D seismic interpretation,Goldsmith Field,West Texas

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Energy Geoscience 2024年第2期5卷 298-303页

作者： Edwin I.Egbobawaye Nelly Omoruyi Abdulmutallib Aminu Robert Trentham Mohamed K.Zobaa Sumit verma Kinder Morgan MidlandTX79705USA Department of Geosciences University of Texas Permian BasinOdessaTX79762USA

The Pennsylvanian unconformity,which is a detrital surface,separates the beds of the Permian-aged strata from the Lower Paleozoic in the Central Basin *** data interpretation indicates that the unconformity is an angular unconformity,overlying multiple normal faults,and accompanied with a thrust fault which maximizes the region's structural ***,the Pennsylvanian angular unconformity creates pinch-outs between the beds above and *** computed the spectral decomposition and reflector convergence attributes and analyzed them to characterize the angular unconformity and *** spectral decomposition attribute divides the broadband seismic data into different spectral bands to resolve thin beds and show thickness *** contrast,the reflector convergence attribute highlights the location and direction of the pinch-outs as they dip south at angles between 2° and 6°.After reviewing findings from RGB blending of the spectrally decomposed frequencies along the Pennsylvanian unconformity,we observed channel-like features and multiple linear bands in addition to the faults and *** can be inferred that the identified linear bands could be the result of different lithologies associated with the tilting of the beds,and the faults may possibly influence hydrocarbon migration or act as a flow barrier to entrap hydrocarbon *** identification of this angular unconformity and the associated features in the study area are vital for the following reasons:1)the unconformity surface represents a natural stratigraphic boundary;2)the stratigraphic pinch-outs act as fluid flow connectivity boundaries;3)the areal extent of compartmentalized reservoirs'boundaries created by the angular unconformity are better defined;and 4)fault displacements are better understood when planning well locations as faults can be flow barriers,or permeability conduits,depending on facies heterogeneity and/or seal effectiveness of a fault,which

关键词： Pennsylvanian unconformity Seismic data interpretation Spectral decomposition Reflector convergence Reservoir characterization