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An Improved Machine Learning Model for Pure Component Property Estimation

Engineering 2024年第8期39卷 61-73页

作者： Xinyu Cao Ming Gong Anjan Tula Xi Chen Rafiqul Gani venkat venkatasubramanian State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China Department of Physics Bard College at Simon’s RockGreat BarringtonMA 01230USA PSE for SPEED Company Charlottenlund DK-2920Denmark Sustainable Energy and Environment Thrust The Hong Kong University of Science and Technology(Guangzhou)Guangzhou 510000China Department of Applied Sustainability Széchenyi István UniversityGy}or 9026Hungary Complex Resilient Intelligent Systems Laboratory Department of Chemical EngineeringColumbia UniversityNew YorkNJ 10027USA

Information on the physicochemical properties of chemical species is an important prerequisite when performing tasks such as process design and product ***,the lack of extensive data and high experimental costs hinder the development of prediction techniques for these ***,accuracy and predictive capabilities still limit the scope and applicability of most property estimation *** paper proposes a new Gaussian process-based modeling framework that aims to manage a discrete and high-dimensional input space related to molecular structure representation with the group-contribution approach.A warping function is used to map discrete input into a continuous domain in order to adjust the correlation between different *** selection techniques,including prior elicitation and prior predictive checking,are also applied during the building procedure to provide the model with more information from previous research *** framework is assessed using datasets of varying sizes for 20 pure component *** 18 out of the 20 pure component properties,the new models are found to give improved accuracy and predictive power in comparison with other published models,with and without machine learning.

关键词： Group contribution Gaussian process Warping function Prior predictive checking

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GeMemiOM: the curated database on genes, putative methylation study targets, and microRNA targets for otitis media

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Journal of Genetics and Genomics 2024年第2期51卷 260-263页

作者： Kondyarpu Abhishek Bineet Kumar Mohanta Pratima Kumari Anshuman Dixit Puppala venkat Ramchander Institute of Life Sciences Nalco SquareChandrasekharpurBhubaneswarIndia Regional Center for Biotechnology FaridabadHaryanaIndia

Otitis media(OM),the most underrated middle ear disease,often onsets during childhood and gets complicated in susceptible *** of the middle ear(ME)leads to its degradation and abnormal physiological *** ME inflammation sometimes results in lethal secondary complications(Penido et al.,2016).OM is a corroboration of multiple facets that leads to disabling hearing loss and associated *** of the facets constituted are genetic,epigenetic,immunogenetic,anatomical.

关键词： inflammation media

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40-meter-long REBCO tapes with critical current over 4,000 A/12 mm at 4.2 K and 13 T by advanced MOCVD

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Superconductivity 2024年第1期9卷 29-34页

作者： Mahesh Paidpilli Chirag Goel Bhabesh Sarangi Siwei Chen Eduard Galstyan Jan Jaroszynski Griffin Bradford Dmytro Abraimov venkat Selvamanickam Department of Mechanical Engineering Advanced Manufacturing InstituteTexas Center for SuperconductivityUniversity of HoustonHoustonTexasUSA AMPeers LLC HoustonTexasUSA National High Magnetic Field Laboratory TallahasseeFloridaUSA

REBa_(2)Cu_(3)O_(7−δ)(REBCO,RE=rare earth)tapes doped with 5%and 15%Zr have been scaled up to lengths more than 40 m in a pilot‐scale advanced metal organic chemical vapor deposition(A‐MOCVD)*** precursor compositions used for the long tapes were guided by a study of the influence of(Ba+dopant)/Cu content on the critical current density(Jc)of 5 and 15 mol.%Hf‐and Zr‐added tapes at 4.2 K and 13 *** 40‐mlong tapes exhibited a critical current(Ic)over 4,000 A/12 mm at 4.2 K and 13 T as well as over 1,400 A/12 mm at 20 K and 20 *** critical current densities of a 40‐m‐long tape doped with 5%Zr at 4.2 K measured at the National High Magnetic Field Laboratory(NHMFL)were>10 MAcm^(−2)and>5 MAcm^(−2)at 14 T and 30 T,respectively,which are over three times those of commercial REBCO *** infield Jc of 5%Zradded 40‐m‐long tapes was similar to those of previously‐reported high‐performance short samples made with 15%Zr or *** results demonstrate the excellent potential of A‐MOCVD for manufacturing high Ic REBCO tapes for use in ultrahigh‐field magnet applications.

关键词： High‐temperature superconductors MOCVD REBCO Critical current

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Dietary Green Tea Extract and Antioxidants Improve Insulin Secretory Functions of Pancreatic β-Cells in Mild and Severe Experimental Rodent Model of Chronic Pancreatitis

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Open Journal of Endocrine and Metabolic Diseases 2024年第2期14卷 53-72页

作者： Galande Sheethal Ranjeet K. Tokala Pavan Pondugala Krishna Vemula Vijayalakshmi venkatesan Pothani Suresh Surya Satyanarayana Singh Guduru venkat Rao Duvvur Nageshwar Reddy Mitnala Sasikala Basic Science and Translational Research Division Asian Healthcare Foundation AIG Hospitals Hyderabad India Division of Cell and Molecular Biology National institute of Nutrition Hyderabad India National Animal Resource Facility for Biomedical Research Hyderabad India Department of Biochemistry Osmania University Hyderabad India Department of Surgical Gastroenterology Asian Institute of Gastroenterology Hyderabad India Department of Gastroenterology Asian Institute of Gastroenterology Hyderabad India

Chronic pancreatitis (CP) is a progressive inflammatory disorder of the pancreas. It is predominantly idiopathic (with an unknown cause) in India and mostly due to alcohol in the West. Diabetes that occur secondary to chronic pancreatitis (T3c Diabetes) is often brittle, and is difficult to attain normoglycemia with conventional treatment requiring multiple doses of insulin. Mild and severe model of CP was induced in mice by repeated intraperitoneal injections of cerulein and L-arginine respectively with an intent to study islet dysfunction and develop therapeutic strategy in animal models of CP. Dietary intervention of epigallocatechin-3-gallate (EGCG) was tested in both the models of CP for its beneficial effects on insulin secretory functions. Pancreata collected upon euthanasia were used to study alterations in the morphology of pancreatic parenchyma and inflammation by staining with H&E and fibrotic changes by Masson’s trichrome and picrosirius staining. Insulin secretory functions of islets were evaluated to test the efficacy of the dietary intervention on β-cell functions. Intraperitoneal glucose tolerance test was performed to monitor the glucose homeostasis before and after the dietary intervention. Both the models resulted in CP with dispersed acini, inflammation and fibrosis. The loss of acini and extent of fibrosis was more in L-arginine model. 2-fold improvement in glucose-stimulated insulin secretory functions of islets was observed with 0.5% EGCG dietary intervention in cerulein model of CP and 1.6-fold in L-arginine model of CP. A further improvement in insulin secretion by 3.2-fold was observed with additional dietary supplements like N-acetyl cysteine, curcumin in combination with EGCG. Our results thus demonstrate and highlight the therapeutic potential of dietary green tea (EGCG) supplementation in reversing islet dysfunction and improving glucose homeostasis in experimental chronic pancreatitis in mice.

关键词： Dietary Intervention C57BL6/J Mice Epigallocatechin-3-Gallate N-Acetyl Cysteine Curcumin Chronic Pancreatitis Islets Glucose Stimulated Insulin Secretion

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Exosome treatment for stroke with diabetic comorbidity

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Neural Regeneration Research 2022年第2期17卷 315-317页

作者： Poornima venkat Michael Chopp Department of Neurology Henry Ford HospitalDetroitMIUSA Department of Physics Oakland UniversityRochesterMIUSA

Ischemic stroke is a cerebrovasculardisease with a high risk of mortality andlong-lasting neurological *** advances have resulted in adeclining trend in stroke incidence anddeaths in the United States. However,increas... 详细信息

关键词： mortality morbidity Exosome

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Seismic safety evaluation methodology for masonry building and retrofitting using splint and bandage technique with wire mesh

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Frontiers of Structural and Civil Engineering 2022年第4期16卷 478-505页

作者： Pravin Kumar venkat Rao PADALU Yogendra SINGH Earthquake Engineering Research Center International Institute of Information Technology Hyderabad(IIIT-H)Telangana 500032India Department of Earthquake Engineering Indian Institute of Technology Roorkee(IITR)Uttarakhand 247667India

The paper presents a seismic safety assessment of unreinforced masonry(URM)building using two *** first approach uses the‘Pier Analysis’method,based on the concept of equivalent lateral stiffness,where in-plane and out-of-plane actions are considered *** second approach is developed with the program SAP2000,where the linear response is evaluated using continuum‘finite element modelling’(FEM).Both methods are compared to evaluate the safety of wall piers and the differences in the outcomes under combined gravitational and lateral seismic *** analysis results showed that few wall elements are unsafe in in-plane and out-of-plane *** is also observed that the pier analysis method is conservative compared to FEM,but can be used as a simplified and quick tool in design offices for safety assessment,with reasonable *** safeguard the URM wall piers under lateral loads,a retrofitting technique is adopted by providing vertical and horizontal belts called splints and bandages,respectively,using welded wire mesh(WWM)*** study using the‘Pier Analysis’shows that the lateral load capacity of unsafe URM piers can be enhanced up to 3.67 times and made safe using the applied retrofitting ***,the retrofitting design methodology and recommendations for application procedures to on-site URM buildings are discussed in detail.

关键词： unreinforced masonry seismic in-plane and out-of-plane forces pier analysis finite element modelling splint and bandage technique with wire mesh

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A generative adversarial network (GAN) approach to creating synthetic flame images from experimental data

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Energy and AI 2023年第3期13卷 14-24页

作者： Anthony Carreon Shivam Barwey venkat Raman University of Michigan Department of AerospaceAnn ArborMIUSA Argonne Leadership Computing Facility Argonne National LaboratoryLemontILUSA

Modern diagnostic tools in turbulent combustion allow for highly-resolved measurements of reacting flows;however,they tend to generate massive data-sets,rendering conventional analysis intractable and *** alleviate this problem,machine learning tools may be used to,for example,discover features from the data for downstream modeling and prediction *** this end,this work applies generative adversarial networks(GANs)to generate realistic flame images based on a time-resolved data set of hydroxide concentration snapshots obtained from planar laser induced fluorescence measurements of a model *** generative model is able to generate flames in attached,lifted,and intermediate configurations dictated by the ***𝑙-means clustering and proper orthogonal decomposition,the synthetic image set produced by the GAN is shown to be visually similar to the real image set,with recirculation zones and burned/unburned regions clearly present,indicating good GAN performance in capturing the experimental data statistical *** with techniques for controlling the configuration of generated flames,this work opens new avenues towards tractable statistical analysis and modeling of flame behavior,as well as rapid and inexpensive flame data generation.

关键词： Generative adversarial network Combustion modeling Data-driven modeling

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Evaluating spatial and elevation-wise daytime/nighttime LST trends across the Indus River Basin

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Journal of Mountain Science 2023年第11期20卷 3154-3172页

作者： Suraj MAL Kavya AGRAWAL Seema RANI Pyarimohan MAHARANA Viswanathan Anantha venkat RAMAN Center for the Study of Regional Development Jawaharlal Nehru UniversityNew Delhi 110067India. Department of Geography Shaheed Bhagat Singh CollegeUniversity of DelhiNew Delhi 110017India Seth Phool Chand Bagla(P.G.)College Hathras(Dr Bhimrao Ambedkar University) Uttar Pradesh 204101India4 Department of GeographyInstitute of ScienceBanaras Hindu UniversityVaranasiUttar Pradesh 221005India Department of Environmental Studies Delhi College of Arts and CommerceUniversity of DelhiNetaji NagarNew Delhi110023India

Land surface temperature(LST)is a crucial parameter for understanding the Earth's surface energy balance,which provides insights into climate dynamics and local environmental ***,the present study aims to evaluate the spatial and elevation-wise trends in the daytime,nighttime,and mean LST across the Indus River Basin(IRB)using MODIS 8-day product for the period between 2002 and *** elevation,cloud cover,and land cover type data are used for explaining the emerging LST *** Theil slope estimator and MannKendall significance test were used for estimating the seasonal and annual LST *** findings show warming in mean daytime(0.020-0.024℃/yr)(except winter and post-monsoon),nighttime(0.013-0.049℃/yr),and mean(0.001-0.042℃/yr)LST in all the seasons(highest in monsoon).The annual mean nighttime LST(0.025℃/yr)is rising significantly faster than the mean daytime LST(0.0016℃/yr),showing the presence of a“nighttime warming effect”,which possibly increases human discomfort,particularly during the warm pre-monsoon and humid monsoon ***-dependent warming(EDW)is predominant in mean daytime LST in two elevation zones,namely(i)0-3 km and(ii)above 4 km,in all seasons,except in *** contrast,EDW in mean nighttime LST is observed up to 3 km and above 6 km in the basin in all the seasons,excluding *** warming trend in LST may be attributed to rising atmospheric moisture,cloud cover,declining snow cover,and changes in land cover to non-vegetated ***,further investigations will involve exploring the underlying factors contributing to the observed anomalies in nighttime LST,considering variables such as regional energy balance and atmospheric *** research contributes to an understanding of the thermal dynamics in the mountain basin,aiding in climate studies,land management,and the development of effective adaptation strategies in the IRB.

关键词： Land surface temperature Elevation dependent warming Indus river basin South Asia

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Effect of Inclined Tension Crack on Rock Slope Stability by SSR Technique

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Intelligent Automation & Soft Computing 2023年第4期36卷 1205-1214页

作者： Ch.venkat Ramana Niranjan Ramchandra Thote Arun Kumar Singh Visvesvaraya National Institute of Technology Nagpur440010India

The tension cracks and joints in rock or soil slopes affect their failure *** of rock or soil slope failure is one of the most challenging tasks in the earth *** actual slopes consist of inhomogeneous materials,complex morphology,and erratic *** studies concerning the failure of rock slopes primarily focused on determining Factor of Safety(FoS)and Critical Slip Surface(CSS).In this article,the effect of inclined tension crack on a rock slope failure is studied numerically with Shear Strength Reduction Factor(SRF)*** inclined Tension Crack(TC)inﬂuences the magnitude and location of the rock slope’s Critical Shear Strength Reduction Factor(CSRF).Certainly,inclined cracks are more prone to cause the failure of the slope than the vertical ***,all tension cracks do not lead to failure of the slope *** effect of the crest distance of the tension crack is also *** numerical results do not show any signiﬁcant change in the magnitude of CSRF unless the tip of the TC is very near to the crest of the *** is also replaced with a joint,and the results differ from the corresponding *** results are discussed regarding shear stress and Critical Slip Surface(CSS).

关键词： Crest distance critical shear strength reduction factor critical slip surface inclined tension crack joint

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5G Data Offloading Using Fuzzification with Grasshopper Optimization Technique

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Computer Systems Science & Engineering 2022年第7期42卷 289-301页

作者： V.R.Balaji T.Kalavathi J.Vellingiri N.Rajkumar venkat Prasad Padhy Department of ECE Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of EIE Kongu Engineering CollegeErode638060India School of Information Technology and Engineering Vellore Institute of TechnologyVellore632014India Department of CSE School of EngineeringPresidency UniversityBangalore560064India School of Computing Science and Engineering VIT Bhopal UniversityBhopal466114India

Data ofﬂoading at the network with less time and reduced energy con-sumption are highly important for every *** applications process the data very quickly with less power *** technology grows towards 5G communication architecture,identifying a solution for QoS in 5G through energy-efﬁcient computing is *** this proposed model,we perform data ofﬂoading at 5G using the fuzziﬁcation *** IoT devices create tasks in the network and are ofﬂoaded in the cloud or mobile edge nodes based on energy *** base stations,small(SB)and macro(MB)stations,are initialized and theﬁrst tasks randomly ***,the tasks are pro-cessed using a fuzziﬁcation algorithm to select SB or MB in the central *** optimization is performed using a grasshopper algorithm for improving the QoS of the 5G *** result is compared with existing algorithms and indi-cates that the proposed system improves the performance of the system with a cost of 44.64 J for computing 250 benchmark tasks.

关键词： 5G energy consumption task ofﬂoading fuzziﬁcation grasshopper optimization QoS mobile IoT

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