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Crystal Growth, Optical and Dielectric Properties of L-Histidine Hydrochloride Monohydrate Nonlinear Optical single Crystals

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Journal of Minerals and Materials Characterization and Engineering 2012年第8期11卷 813-816页

作者： P. Koteeswari s. suresh P. Mani Department of Physics Hindustan Institute of Technology Padur India Department of Physics Loyola College Chennai India

Optically transparent and bulk single crystal of l-histidine hydrochloride monohydrate (LHHC) was successfully grown by slow evaporation technique. The cell parameters and the crystallinity of the grown crystal were estimated by the single-crystal. Optical transmittance of the crystal was recorded using the UV–vis–NIR spectrophotometer. The optical band gap and optical constant of the material were determined by using transmission spectrum. The dielectric loss and dielectric constant measurements as a function of frequency and temperature were measured for the grown crystal.

关键词： single Crystal slow Evaporation Technique XRD UV and Dielectric studies

Geochemical elements in suspended particulate matter of Ensenada de La Paz Lagoon,Baja California Peninsula,Mexico:sources,distribution,mass balance and ecotoxicological risks

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Journal of Environmental sciences 2024年第2期136卷 422-436页

作者： sandra soledad Morales-García Pilar de Acacia Pérez-Escamilla suresh Babu sujitha Pichaimani Godwyn-Paulson Andrés Felipe Zuniga-Cabezas Muthuswamy Ponniah Jonathan Instituto Politécnico Nacional(IPN) Centro Mexicano para la Producción más Limpia(CMPL)Av.Acueducto s/nCol.Barrio la Laguna TicománDel Gustavo A.MaderoC.P.07340Ciudad de MéxicoMexico Instituto Politécnico Nacional(IPN) Escuela Superior de Ingeniería y Arquitectura(ESIA)Unidad Ticomán***án 600Delg.Gustavo A.MaderoC.P.07340Ciudad de México(CDMX)Mexico Instituto Politécnico Nacional(IPN) Centro Interdisciplinario de Investigaciones y Estudios sobre Medio Ambiente y Desarrollo(CIIEMAD)Calle 30 de Junio de 1520Barrio la Laguna TicománDel.Gustavo A.MaderoC.P.07340Ciudad de MéxicoMéxico

The present study aimed to evaluate multi-element concentrations(Al,As,Ca,Cd,Co,Cr,Cu,Fe,Mg,Mn,Mo,Ni,Pb,sr)in suspended particulate material(sPM)collected from Ensenada de La Paz(ELP)lagoon,Baja California sur,Mexico in two different periods(september and May)to comprehend their origin,geochemical behavior,mass transfer and associated ecotoxicological *** 24 hr variation coefficient of volumetric sPM levels were found to be 51.7%in september and 40.5%in May,signifying the effects of oceanic *** calculated enrichment factor(EF)values for all the studied elements were of higher magnitude because of the high surface area and oxide nature of sPM,and in this study,Mo had the highest EF of 46.77 probably due to its origin from continental *** the ecotoxicological perspective,the integrated toxic risk index revealed low toxic risk to the benthic ***,the mean-ERM-Quotient calculated using the particulate concentrations of As,Cd,Cr,Cu,Ni,Pb indicated 9%probability of toxicity to *** comprehensive geochemical and ecotoxicological assessment of particulate metal concentrations in the ELP lagoon signify low to moderate contamination.

关键词： suspended particulate material Heavy metals Risk assessment Mass transfer Ensenada de La Paz

General solution and stability of Quattuordecic Functional Equation in Quasi β-Normed spaces

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Advances in Pure Mathematics 2016年第12期6卷 921-941页

作者： K. Ravi J. M. Rassias s. Pinelas s. suresh Department of Mathematics Sacred Heart College Tirupattur Tamil Nadu India Pedagogical Department E. E Section of Mathematics and Informatics National and Capodistrian University of Athens Athens Greece Departamen to de Cincias Exactas e Naturais Amadora Portugal Research and Development Centre Bharathiar University Coimbatore India

In this paper, we introduce the following quattuordecic functional equation f(x+7y)-14f(x+6y)+91f(x+5y)-364f(x+4y)+1001f(x+3y)-2002f(x+2y)+3003f(x+y)-3432f(x)+3003f(x-y)-2002f(x-2y)+1001f(x-3y)-364f(x-4y)+91f(x-5y)-14f(x-6y)+f(x-7y)=14!f(y), investigate the general solution and prove the stability of this quattuordecic functional equation in quasi β-normed spaces by using the fixed point method.

关键词： Quattuordecic Functional Equation Fixed Point Method Hyers-Ulam Rassias stability Quasi-β-Normed space

smart mid-infrared metasurface microspectrometer gas sensing system

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Microsystems & Nanoengineering 2024年第3期10卷 273-281页

作者： Jiajun Meng sivacarendran Balendhran Ylias sabri suresh K.Bhargava Kenneth B.Crozier school of Physics University of MelbourneVictoriaAustralia Australian Research Council(ARC)Centre of Excellence for Transformative Meta-Optical systems(TMOs) University of MelbourneVictoriaAustralia Centre for Advanced Materials&Industrial Chemistry(CAMIC) STEM collegeRMIT UniversityVictoriaAustralia Department of Electrical and Electronic Engineering University of MelbourneVictoriaAustralia

smart,low-cost and portable gas sensors are highly desired due to the importance of air quality monitoring for environmental and defense-related ***,electrochemical and nondispersive infrared(IR)gas sensors are designed to detect a single specific *** IR spectroscopy-based sensors provide superior performance,their deployment is limited due to their large size and high *** this study,a smart,low-cost,multigas sensing system is demonstrated consisting of a mid-infrared microspectrometer and a machine learning *** microspectrometer is a metasurface filter array integrated with a commercial IR camera that is consumable-free,compact(~1 cm^(3))and lightweight(~1 g).The machine learning algorithm is trained to analyze the data from the microspectrometer and predict the gases *** system detects the greenhouse gases carbon dioxide and methane at concentrations ranging from 10 to 100%with 100%*** also detects hazardous gases at low concentrations with an accuracy of 98.4%.Ammonia can be detected at a concentration of 100 ***,methyl-ethyl-ketone can be detected at its permissible exposure limit(200 ppm);this concentration is considered low and *** study demonstrates the viability of using machine learning with IR spectroscopy to provide a smart and low-cost multigas sensing platform.

关键词： smart gases system

synthesis, structural and Dielectric Properties of Ferroelectric Dichloridoglycine Zinc Dihydrate single Crystals

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Journal of Minerals and Materials Characterization and Engineering 2011年第4期10卷 339-349页

作者： s. suresh A. Ramanand D. Jayaraman s.M. Priya R. Vasanthakumari Department of Physics Jeppiaar Engineering College Chennai-600 119 India. Department of Physics Loyola College Chennai-600 034 India. Department of Physics Loyola Institute of Technology Chennai-602 103 India Department of Polymer Technology B.S.Abdur Rahman University VandalurChennai-600 048 India.

The strong electro mechanical coupling exhibited by the ferroelectric materials is the remarkable feature of these materials. Therefore, they find applications in sensors, actuators for producing ultrasonics and micro positioning. The material dichloridoglycine zinc dihydrate is a centrosymmetric ferroelectric crystal. In the present study, this crystal has been grown from a mixture of glycine and zinc chloride. The dielectric constant and the dielectric loss of the grown crystal were studied as a function of frequency and temperature, and the corresponding relaxation time (τ), relaxation frequency (Fr) and the activation energy have been calculated. The ferroelectric property of the crystal has been confirmed by dielectric studies. The ferroelectric characteristics of the crystal have been studied and reported.

关键词： Ferroelectric single crystal dichloridoglycine zinc dehydrate sensors

A systematic review of climate change impacts,adaptation strategies,and policy development in West Africa

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Regional sustainability 2024年第2期5卷 13-25页

作者： Camillus Abawiera WONGNAA Alex Amoah sEYRAM suresh BABU Department of Agricultural Economics Agribusiness and ExtensionKwame Nkrumah University of Science and TechnologyKumasi00233Ghana International Food Policy Research Institute Washington20005USA

Climate change studies are diverse with no single study giving a comprehensive review of climate change impacts,adaptation strategies,and policy development in West *** unavailability of an all-inclusive study to serve as a guide for practitioners affects the effectiveness of climate change adaptation strategies proposed and adopted in the West African *** purpose of this study was to review the impacts of climate change risks on the crop,fishery,and livestock sectors,as well as the climate change adaptation strategies and climate-related policies aimed at helping to build resilient agricultural production systems in West *** review process followed a series of rigorous stages until the final selection of 56 articles published from 2009 to ***,the results highlighted the adverse effects of climate change risks on food *** found a continuous decline in food crop ***,the livestock sector experienced morbidity and mortality,as well as reduction in meat and milk *** fishery sector recorded loss of fingerlings,reduction in fish stocks,and destruction of mariculture and *** West Africa,climate-smart agriculture technologies,physical protection of fishing,and inclusion of gender perspectives in programs appear to be the major adaptation *** study therefore recommends the inclusion of ecosystem and biodiversity restoration,weather insurance,replacement of unsafe vessels,and strengthening gender equality in all climate change mitigation programs,as these will help to secure enough food for present and future generations.

关键词： Climate change Climate extreme events Food security Adaptation strategies Climate-smart agriculture West Africa

Real Time Thermal Image Based Machine Learning Approach for Early Collision Avoidance system of snowplows

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Journal of Intelligent Learning systems and Applications 2024年第2期16卷 107-142页

作者： Fletcher Wadsworth suresh s. Muknahallipatna Khaled Ksaibati Department of Electrical Engineering and Computer science University of Wyoming Laramie WY USA Department of Civil and Architectural Engineering University of Wyoming Laramie WY USA

In an effort to reduce vehicle collisions with snowplows in poor weather conditions, this paper details the development of a real time thermal image based machine learning approach to an early collision avoidance system for snowplows, which intends to detect and estimate the distance of trailing vehicles. Due to the operational conditions of snowplows, which include heavy-blowing snow, traditional optical sensors like LiDAR and visible spectrum cameras have reduced effectiveness in detecting objects in such environments. Thus, we propose using a thermal infrared camera as the primary sensor along with machine learning algorithms. First, we curate a large dataset of thermal images of vehicles in heavy snow conditions. Using the curated dataset, two machine-learning models based on the modified ResNet architectures were trained to detect and estimate the trailing vehicle distance using real-time thermal images. The trained detection network was capable of detecting trailing vehicles 99.0% of the time at 1500.0 ft distance from the snowplow. The trained trailing distance network was capable of estimating distance with an average estimation error of 10.70 ft. The inference performance of the trained models is discussed, along with the interpretation of the performance.

关键词： Convolutional Neural Networks Residual Networks Object Detection Image Processing Thermal Imaging

sim-to-Real: A Performance Comparison of PPO, TD3, and sAC Reinforcement Learning Algorithms for Quadruped Walking Gait Generation

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Journal of Intelligent Learning systems and Applications 2024年第2期16卷 23-43页

作者： James W. Mock suresh s. Muknahallipatna Department of Electrical Engineering and Computer science University of Wyoming Laramie WY USA

The performance of the state-of-the-art Deep Reinforcement algorithms such as Proximal Policy Optimization, Twin Delayed Deep Deterministic Policy Gradient, and soft Actor-Critic for generating a quadruped walking gait in a virtual environment was presented in previous research work titled “A Comparison of PPO, TD3, and sAC Reinforcement Algorithms for Quadruped Walking Gait Generation”. We demonstrated that the soft Actor-Critic Reinforcement algorithm had the best performance generating the walking gait for a quadruped in certain instances of sensor configurations in the virtual environment. In this work, we present the performance analysis of the state-of-the-art Deep Reinforcement algorithms above for quadruped walking gait generation in a physical environment. The performance is determined in the physical environment by transfer learning augmented by real-time reinforcement learning for gait generation on a physical quadruped. The performance is analyzed on a quadruped equipped with a range of sensors such as position tracking using a stereo camera, contact sensing of each of the robot legs through force resistive sensors, and proprioceptive information of the robot body and legs using nine inertial measurement units. The performance comparison is presented using the metrics associated with the walking gait: average forward velocity (m/s), average forward velocity variance, average lateral velocity (m/s), average lateral velocity variance, and quaternion root mean square deviation. The strengths and weaknesses of each algorithm for the given task on the physical quadruped are discussed.

关键词： Reinforcement Learning Reality Gap Position Tracking Action spaces Domain Randomization

Decoding bovine coronavirus immune targets:an epitope informatics approach

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Animal Diseases 2024年第2期4卷 138-153页

作者： swati Rani Mehnaj Khatoon Jagadish Hiremath Kuralayanapalya Puttahonnappa suresh Jayashree Anandakumar Nagendra Nath Barman sheethal Manjunath Yamini sri s sharanagouda s.Patil spatial Epidemiology Lab ICAR-National Institute of Veterinary Epidemiology and Disease InformaticsYelahankaBengaluruKarnataka 560064India College of Veterinary science Assam Agricultural UniversityGuwahatiAssam 785013India Yuvaraja’s College Mysuru University of MysuruMysuruKarnataka 570005India

Bovine coronavirus(BCoV)poses a significant threat to the global cattle industry,causing both respiratory and gastrointestinal infections in cattle *** necessitates the development of efficacious *** several inactivated and live BCoV vaccines exist,they are predominantly limited to *** immunization of adult cattle is imperative for BCoV infection control,as it curtails viral transmission to calves and ameliorates the impact of enteric and respiratory ailments across all age groups within the *** study presents an in silico methodology for devising a multiepitope vaccine targeting *** spike glycoprotein(s)and nucleocapsid(N)proteins,which are integral elements of the BCoV structure,play pivotal roles in the viral infection cycle and immune *** constructed a remarkably effective multiepitope vaccine candidate specifically designed to combat the BCoV *** immunoinformatics technology,B-cell and T-cell epitopes were predicted and linked together using linkers and adjuvants to efficiently trigger both cellular and humoral immune responses in *** in silico construct was characterized,and assessment of its physicochemical properties revealed the formation of a stable vaccine *** 3D modeling of the vaccine construct,molecular docking revealed a stable interaction with the bovine receptor ***,the viability of the vaccine’s high expression and simple purification was demonstrated by codon optimization and in silico cloning expression into the pET28a(+)*** applying immunoinformatics approaches,researchers aim to better understand the immune response to bovine coronavirus,discover potential targets for intervention,and facilitate the development of diagnostic tools and vaccines to mitigate the impact of this virus on cattle health and the livestock *** anticipate that the design will be useful as a preventive treatment for BCoV sickness in cattle,opening the door for furthe

关键词： Immunoinformatics Bovine coronavirus Multiepitope vaccine Molecular docking In silico cloning