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Applied Mathematics and Mechanics(English Edition) 2021年第4期42卷 593-606页

作者： K.RAMESH M.G.reddy B.SOUAYEH Department of Mathematics Symbiosis Institute of TechnologySymbiosis International(Deemed University)Pune 412115India Department of Mathematics Acharya Nagarjuna UniversityOngole CampusOngole 523001India Department of Physics College of ScienceKing Faisal UniversityAl-Ahsa 31982Saudi Arabia Laboratory of Fluid Mechanics Physics DepartmentFaculty of Sciences of TunisUniversity of Tunis El ManarTunis 2092Tunisia

This study explores the effects of electro-magneto-hydrodynamics,Hall currents,and convective and slip boundary conditions on the peristaltic propulsion of nanofluids(considered as couple stress nanofluids)through porous symmetric *** phenomena of energy and mass transfer are considered under thermal radiation and heat source/*** governing equations are modeled and non-dimensionalized under appropriate dimensionless *** resulting system is solved numerically with MATHEMATICA(with an in-built function,namely the Runge-Kutta scheme).Graphical results are presented for various fluid flow quantities,such as the velocity,the nanoparticle temperature,the nanoparticle concentration,the skin friction,the nanoparticle heat transfer coefficient,the nanoparticle concentration coefficient,and the trapping *** results indicate that the nanoparticle heat transfer coefficient is enhanced for the larger values of thermophoresis ***,an intriguing phenomenon is observed in trapping:the trapped bolus is expanded with an increase in the Hartmann ***,the bolus size decreases with the increasing values of both the Darcy number and the electroosmotic parameter.

关键词： peristalsis magnetohydrodynamics(MHD) nanofluid Hall current porous medium thermal radiation

Perspective on ultramicroporous carbon as sulphur host for Li-S batteries

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Journal of Energy Chemistry 2021年第8期30卷 242-256,I0006页

作者： Helen Maria Joseph Maximilian Fichtner Anji reddy Munnangi ASTUTE 2020 College of EngineeringSwansea UniversityFabian WaySA18EN SwanseaUnited Kingdom Helmholtz Institute Ulm(HIU)Electrochemical Energy Storage Helmholtzstraße 1189081 UlmGermany Institute of Nanotechnology Karlsruhe Institute of TechnologyP.O.Box 3640D-76021 KarlsruheGermany College of Engineering Swansea UniversityFabian WaySA18EN SwanseaUnited Kingdom

Lithium-sulphur(Li-S)batteries are currently considered as next-generation battery *** is an attractive positive electrode for lithium metal batteries,mainly due to its high capacity(1675 m Ah g^(-1))and high specific energy(2600 Wh kg^(-1)).The electrochemical reaction of lithium with sulphur in non-aqueous electrolytes results in the formation of electrolyte soluble intermediate *** dissolved polysulphides shuttle to the anode and get reduced at the anode resulting in Li metal *** solubility of polysulphide gradually reduces the amount of sulphur in the cathode,thereby limiting the cycle life of Li-S *** strategies have been proposed to improve the cycling stability of Li-S batteries.A unique approach to eliminate the polysulphide shuttle is to use ultramicroporous carbon(UMC)as a host for *** pore size of UMC which is below 7A,is the bottleneck for carbonate solvents to access sulphur/polysulphides confined in the pores,thereby preventing the polysulphide *** perspective article will emphasise the role of UMC host in directing the lithiation mechanism of sulphur and in inhibiting polysulphide dissolution,including the resulting parasitic reaction on the lithium ***,the challenges that need to be addressed by UMC-S based Li-S batteries,and the strategies to realise high power density,high Coulombic efficiency,and resilient Li-S batteries will be discussed.

关键词： Lithium-sulphur batteries Ultramicroporous carbon Sulphur Cathode Composites

Recent Advancements in the Development of Self Healing Concrete-A Systematic Review

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Journal of Wuhan University of Technology(Materials Science) 2024年第6期39卷 1449-1460页

作者： A Ravi Theja M Srinivasula reddy Bharat Bhushan Jindal C Sashidhar Assistant Professor in SVR Engineering College NandyalAndhra PradeshIndia Associate Professor of Civil Engineering G Pulla Reddy Engineering CollegeKurnoolAPIndia Assistant Professor in School of Civil Engineering Shri Mata Vaishno Devi UniversityJammu and KashmirIndia Professor of Civil Engineering JNTU College of EngineeringJNTUAAnanthapuramuAndhra PradeshIndia

Mechanical as well as durability properties are pivotal for any type of concrete which gets adversely affected due to cracks that may form due to loading beyond its *** has the intrinsic property to heal itself to some extent but not fully as the passive form of autogenous healing plays an inferior role for a complete repair of a cementitious *** self-healing capabilities can be enhanced by adding chemical admixtures,polymers,and bacteria strains induced calcium carbonate precipitation,*** this paper,the advancements in the development and performance of self-healing concrete using chemical admixtures,polymers,and bacteria strains are *** systematic review includes the available experimental tests and methodologies investigating self-healing efficiency over the last ***,this review focussed on self-healing materials,the ideology,and opinions of those in the construction field on the direction of self-healing concrete for future *** is yet not possible to predict the most appropriate technique,however,a generalized opinion about the effectiveness of the different approaches has been illustrated.

关键词： self-healing cracks bio-based healing chemical additives-based healing

Experimental Evaluation of a Multistage Reciprocating Evaporative Cooler Performance for Varied Climatic Conditions

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Journal of Thermal Science 2023年第4期32卷 1523-1535页

作者： Sampath SURANJAN SALINS S.V.KOTA reddy Shiva KUMAR School of Engineering and IT Manipal Academy of Higher EducationDubai CampusDubaiPO 345050UAE Mechanical Engineering Department VIT-AP UniversityAmaravatiAndra Pradesh52223India Department of Mechanical and Manufacturing Engineering Manipal Institute of TechnologyManipal Academy of Higher EducationManipal576104India

Current system focuses on design&construction of a multistage reciprocating evaporative cooling test *** packings that are used will undergo the reciprocating action,powered by the cam follower mechanism maintained at an actual rotation *** dry bulb temperature&humidity values are varied to replicate the varying climatic conditions,and the output parameters such as cooling load,evaporation rate(ER),humidification efficiency(HE),coefficient of performance(COP)are *** results showed that as inlet humidity raises,the performance of system *** the rise in the camshaft speed or packing velocity,there is an upsurge in the performance until a cam speed of 10 r/min or packing velocity of 0.083 m/s and with further increases in the value,overall performance *** system gave a maximum COP,ER,and HE equal to 3.80,73.87%,and 0.53 g/kg respectively.A rise in the inlet air temperature yielded a maximum change in dry bulb temperature of 8.2℃.Overall,results indicated that evaporative cooling is more effective in arid climates than the cold and humid *** quality test is performed to measure CO_(2),Total Volatile Organic Compound(TVOC),and Formaldehyde(HCHO),and it is found that humidified air entering the defined space is of excellent quality.

关键词： multistage humidifier evaporative cooling reciprocating packing humidification efficiency

Real-Time Multi-Feature Approximation Model-Based Efficient Brain Tumor Classification Using Deep Learning Convolution Neural Network Model

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Computer Systems Science & Engineering 2023年第9期46卷 3883-3899页

作者： Amarendra reddy Panyala M.Baskar Department of Computer Science and Engineering School of ComputingSRM Institute of Science and TechnologyKattankulathurChengalpattuChennai603203TamilnaduIndia Department of Information Technology MLR Institute of TechnologyHyderabad500043TelanganaIndia Department of Computing Technologies School of ComputingSRM Institute of Science and TechnologyKattankulathurChengalpattuChennai603203TamilnaduIndia

The deep learning models are identified as having a significant impact on various *** same can be adapted to the problem of brain tumor ***,several deep learning models are presented earlier,but they need better classification *** efficient Multi-Feature Approximation Based Convolution Neural Network(CNN)model(MFACNN)is proposed to handle this *** method reads the input 3D Magnetic Resonance Imaging(MRI)images and applies Gabor filters at multiple *** noise-removed image has been equalized for its quality by using histogram ***,the features like white mass,grey mass,texture,and shape are extracted from the *** features are trained with deep learning Convolution Neural Network(CNN).The network has been designed with a single convolution layer towards dimensionality *** texture features obtained from the brain image have been transformed into a multi-dimensional feature matrix,which has been transformed into a single-dimensional feature vector at the convolution *** neurons of the intermediate layer are designed to measure White Mass Texture Support(WMTS),GrayMass Texture Support(GMTS),WhiteMass Covariance Support(WMCS),GrayMass Covariance Support(GMCS),and Class Texture Adhesive Support(CTAS).In the test phase,the neurons at the intermediate layer compute the support as mentioned above values towards various classes of *** on that,the method adds a Multi-Variate Feature Similarity Measure(MVFSM).Based on the importance ofMVFSM,the process finds the class of brain image given and produces an efficient result.

关键词： CNN deep learning brain tumor classification MFA-CNN MVFSM 3D MRI texture Gabor

Thermal plasma synthesis of SiC

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Advances in Manufacturing 2013年第1期1卷 50-61页

作者： Muralidharan Ramachandran Ramana G.reddy Department of Metallurgical and Materials Engineering The University of Alabama

Synthesis of silicon carbide has been carried out using thermal plasma processing technique using SiO2 as the solid feed and CH4 as the gaseous reducing agent. Thermochemical calculations have been performed varying the molar ratio of silicon dioxide and methane to determine the feasibility of the reaction. Experiments using a molar ratio of SiO2：CH4 equal to 1：2 produced maximum yield of SiC of about 65 mol % at a solid feed rate of 5 g/min. Mostly spherical morphology with some nanorods has been observed. The presence of Si had been observed and was quantified using XRD, HRTEM, Raman spectroscopy and X-ray photoelectron microscopy （XPS）. Si acts as a nucleating agent for SiC nanorods to grow.

关键词： Silicon carbide Thermal plasma - Highresolution transmission electron microscopy (HRTEM)Raman spectroscopy ~ X-ray photoelectron microscopy(XPS)

Bacterial flora of conjunctiva after death

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International Journal of Ophthalmology(English edition) 2013年第5期6卷 632-636页

作者： Sagili Chandrasekhara reddy George Paul Department of Ophthalmology Faculty of MedicineUniversity of Malaya Department of Forensic Pathology Faculty of MedicineUniversity of Malaya

AIM:To evaluate the frequency of bacterial flora of conjunctiva after death(cadaver eyes) which will give information about the bacterial contamination of donor eyes,and the in-vitro sensitivity of isolated bacteria to the commonly used antibiotics in ophthalmic ***:Conjunctival swabs were taken from the cadavers(motor vehicle accident deaths and patients who died in the hospital),within 6h after death,and sent for culture and sensitivity *** swabs,taken from the healthy conjunctiva of patients admitted for cataract surgery,were sent for culture and sensitivity as controls(eyes in those of living status).The bacterial isolates were tested against the commonly used antibiotics(chloramphenicol,gentamicin,ciprofloxacin) in ophthalmology ***:Bacteria were isolated in 41 out of 100 conjunctival swabs(41%),taken from 50 cadavers(study group).Coagulase negative staphylococcus was the most common bacteria isolated(15%),followed by pseudomonas aeruginosa(5%).Gentamicin was effective against majority of the bacterial isolates(82%).Bacteria were isolated from 7 out of 100 conjunctival swabs taken as control group(eyes in living state).Coagulase negative staphylococcus was the most common organism(5%) isolated in control group;the others were staphylococcus aureus(1%) and beta hemolyticus streptococci(1%).CONCLUSION:Bacteria were isolated from 41% of the cadaver *** percentage sensitivity of the bacterial isolates to gentamicin(82%) supports the practice of thorough irrigation of the eyes with gentamicin solution before starting the procedure of enucleation followed by immersion of the enucleated eyeballs in gentamycin solution,to prevent the bacterial contamination.

关键词： bacterial flora conjunctiva cadaver eyes cataract eyes

Electrical transport and current properties of rare-earth dysprosium Schottky electrode on p-type GaN at various annealing temperatures

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Journal of Semiconductors 2017年第11期38卷 39-47页

作者： G.Nagaraju K.Ravindranatha reddy V.Rajagopal reddy Department of Physics Sri Venkateswara University Tirupati-517 502 India Department of Physics SGS Arts College Tirupati-517 502 India

The electrical and current transport properties of rapidly annealed Dy/p-GaN SBD are probed by I-V and C-V techniques. The estimated barrier heights（BH） of as-deposited and 200 ℃ annealed SBDs are 0.80 eV（I-V）/0.93 eV（C-V） and 0.87 eV（I-V）/1.03 eV（C-V）. However, the BH rises to 0.99 eV（I-V）/1.18 eV（C-V）and then slightly deceases to 0.92 eV（I-V）/1.03 eV（C-V） after annealing at 300 ℃ and 400 ℃. The utmost BH is attained after annealing at 300 ℃ and thus the optimum annealing for SBD is 300 ℃. By applying Cheung＇s functions, the series resistance of the SBD is estimated. The BHs estimated by I-V, Cheung＇s and ΨS-V plot are closely matched; hence the techniques used here are consistency and validity. The interface state density of the as-deposited and annealed contacts are calculated and we found that the NSS decreases up to 300 ℃ annealing and then slightly increases after annealing at 400 ℃. Analysis indicates that ohmic and space charge limited conduction mechanisms are found at low and higher voltages in forward-bias irrespective of annealing temperatures. Our experimental results demonstrate that the Poole-Frenkel emission is leading under the reverse bias of Dy/p-GaN SBD at all annealing temperatures.

关键词： p-GaN rare-earth Dy Schottky contacts annealing effects electrical properties energy distribution profiles carrier transport mechanism

Insect classification and detection in field crops using modern machine learning techniques

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Information Processing in Agriculture 2021年第3期8卷 446-457页

作者： Thenmozhi Kasinathan Dakshayani Singaraju Srinivasulu reddy Uyyala Machine Learning and Data Analytics Lab Centre of Excellence in Artificial IntelligenceDepartment of Computer ApplicationsNational Institute of TechnologyTiruchirappalliTiruchirappalli 620015Tamil NaduIndia

The agriculture sector has an immense potential to improve the requirement of food and supplies healthy and nutritious *** insect detection is a challenging task for farmers as a significant portion of the crops are damaged,and the quality is degraded due to the pest *** insect identification has the drawback of requiring well-trained tax-onomists to identify insects based on morphological features *** were conducted for classification on nine and 24 insect classes of Wang and Xie dataset using the shape features and applying machine learning techniques such as artificial neural net-works(ANN),support vector machine(SVM),k-nearest neighbors(KNN),naive bayes(NB)and convolutional neural network(CNN)*** paper presents the insect pest detec-tion algorithm that consists of foreground extraction and contour identification to detect the insects for Wang,Xie,Deng,and IP102 datasets in a highly complex *** 9-fold cross-validation was applied to improve the performance of the classification *** highest classification rate of 91.5%and 90%was achieved for nine and 24 class insects using the CNN *** detection performance was accomplished with less com-putation time for Wang,Xie,Deng,and IP102 datasets using insect pest detection *** comparison results with the state-of-the-art classification algorithms exhibited considerable improvement in classification accuracy,computation time perfor-mance while apply more efficiently in field crops to recognize the *** results of classification accuracy are used to recognize the crop insects in the early stages and reduce the time to enhance the crop yield and crop quality in agriculture.

关键词： Crop pest classification Crop insect detection Image processing Machine learning Image segmentation

Novel insights into the historical biogeography of the streak-breasted scimitar babbler complex （Aves： Timaliidae： Pomatorhinus ruficollis complex）

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Current Zoology 2015年第5期61卷 910-921页

作者： Sushma reddy Arpad S. NYARI Biology Department Loyola University Chicago 1032 W Sheridan Road Chicago IL 60660 USA Department of Zoology Oklahoma State University 501 Life Sciences West Stillwater OK 74078 USA

The Streak-breasted Scimitar Babblers of the Pomatorhinus ruficollis species complex are found in most of the forested habitats across southern and eastern Asia. The diversification history of this group is obscured by high plumage variation across populations and conflicting genetic signal across loci. We combined genetic and geographic data from several recent studies to investigate how these species diversified across China using both phylogenetic and ecological niche modeling analyses. These two lines of evidence are consistent in showing that two well-sampled species, P. reconditus and P. nigrostellatus, in central and southern China respectively, likely experienced a history of isolation and expansion as suitable habitat contracted during the last interglacial and expanded in patchy extent during the glacial maximum. The genetic analysis showed that populations of P. nigrostellatus on Hainan Island are very similar to the ones in nearby mainland southern China. We recovered two well-supported clades within P. reconditus that were not geographically structured with both containing individuals from the same localities across central China. This phylogenetic result corresponded to the ecological niche models that showed expansion from refugia since the last interglacial. This study illustrates the value of using an integrative approach and detailed geographic sampling to help understand the recent diversification of birds in China [Current Zoology 61 （5）： 910-921, 2015].

关键词： Songbirds Asia Ecological niche modeling Phylogenetics Babblers