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Optimization of ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al Layers Configuration for OLED and Study of Its Optical and Electrical Characteristics

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Semiconductor Science and Information Devices 2023年第1期5卷 3-10页

作者： Ritu sandhya kattayat H.K.Subania S.Z.Hashmi Jasgurpreet Singh P.A.Avi Department of Physical Science Banasthali VidyapithBanasthaliRajasthan304022India Higher Colleges of Technology PO Box-25026Abu DhabiUAE Department of Physics Government CollegeBhadraHanumangarhRajasthan335501India Department of Chemistry Banasthali VidyapithBanasthaliRajasthan304022India University Centre for Research&Development Department of Mechanical EngineeringChandigarh UniversityGharuanPunjab140413India

Nowadays,OLEDs have shown aesthetic potential in smart cards,sensor displays,other electronic devices,sensitive medical devices and signal monitoring *** to their wide range of applications like low power consumption,high contrast ratio,speed highly electroluminescent,wide viewing angle and fast response *** this paper,a highly efficient organic LED ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al with low turn-on voltage and high optically efficiency is presented including electrical and optical *** simulation of electrical characteristics like current versus applied voltage,current density versus applied voltage,recombination prefactor versus excess carrier density characteristics and optical characteristics like light flux versus current density,light flux versus applied voltage and optical efficiency versus applied voltage has been *** physical design,working principle and thickness of different layers along with the process of formation of singlet and triplet excitons are discussed in *** double electron transport layer(ETL),cathode layers are used to enhance the electrical and optical efficiency of *** operating voltage is found to be~3.2 V for the ITO/V_(2)O_(5)/Alq3/TPBi/BPhen/LiF/Al heterostructure based *** designed organic LED has achieved the maximum optical efficiency at 3 V.

关键词： OLED Alq3 BPhen TPBi I-V characteristics

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A Comparative Study between Landmark Based and Real Time Ultrasound Guided Sub Arachnoid Block

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Open Journal of Anesthesiology 2024年第4期14卷 118-125页

作者： Kunal Tewari Om Bahadur Thapa Deepak Mishra Manjot Multani Jyotsna Sharma Akash Ray Mohapatra sandhya Khwaunju Department of Anesthesiology and Critical Care Armed Forces Medical College Pune India Department of Anesthesiology and Critical Care AFMC Pune India

Background: Sub arachnoid block (SAB) performed by traditional landmark palpation technique can be inaccurate. This problem is exacerbated by altered patient anatomy due to obesity and age-related changes. A pre-procedural ultrasound scan of the lumbar spine has been shown to be of benefit in guiding lumbar epidural insertion in obstetric patients. Information on the use of real-time ultrasound (RUS) guided SAB, to date, been limited. This study compared RUS guided SAB to traditional landmark guided technique in patients undergoing spinal anesthesia for different surgical procedures. Methods: This was a prospective, single center, comparative observational study conducted in the department of anesthesiology at our center. 560 patients who underwent spinal anesthesia either by landmark based technique or real-time ultrasound-guided methods. The primary outcome was the first attempt success rate of dural puncture when employing the two methods. Results: Baseline characteristics were similar in the two study groups. The first attempt success rate of dural puncture in landmark guided group was 64.3% compared to 72.6% in the ultrasound guided group. This difference was not statistically significant. The procedure performance time was significantly shorter with landmark palpation compared to use of real-time ultrasound guided method. Conclusion: Use of RUS-guided technique does not significantly improve the first attempt success rate of SAB dural puncture during spinal anesthesia compared to the traditional landmark-guided technique.

关键词： Sub Arachnoid Block (SAB) Real Time Ultrasound (RUS)

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Improving the performance of conventional base isolation systems by an external variable negative stiffness device under near-fault and long-period ground motions

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Earthquake Engineering and Engineering Vibration 2020年第4期19卷 985-1003页

作者： sandhya Nepal Masato Saitoh Graduate School of Science and Engineering Saitama University255 Shimo-OkuboSakura-kuSaitamaJapan

Recent studies have shown that base-isolated objects with long fundamental natural periods are highly influenced by long-period earthquakes. These long-period waves result in large displacements for isolators, possibly leading to exceedance of the allowable displacement limits. Conventional isolation systems, in general, fail to resist such large displacements. This has prompted the need to modify conventional base isolation systems. The current work focuses on the development of an external device, comprising a unit of negative and positive springs, for improving the performance of conventional base isolation systems. This unit accelerates the change in the stiffness of the isolation system where the stiffness of the positive spring varies linearly in terms of the displacement response of the isolated objects. The target objects of the present study are small structures such as computer servers, sensitive instruments and machinery. Numerical studies show that the increase in the damping of the system and the slope of the linear function is effective in reducing the displacement response. An optimal range of damping values and slope, satisfying the stability condition and the allowable limits of both displacement and acceleration responses when the system is subjected to near-fault and long-period ground motions simultaneously, is proposed.

关键词： base isolation near-fault earthquakes long-period earthquakes negative stiffness variable stiffness

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Evolution of heart transplant donor characteristics in the 21st century: A United States single center’s experience

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World Journal of Transplantation 2024年第3期14卷 22-29页

作者： Alexander M Spring Christiana Gjelaj Shivank Madan Snehal R Patel Omar Saeed sandhya Murthy Yogita Rochlani Daniel B Sims Sasha Vukelic Stephen J Forest Jamil F Borgi Daniel J Goldstein Ulrich P Jorde Montefiore-Einstein Center for Heart and Vascular Care Montefiore Medical CenterAlbert Einstein College of MedicineBronxNY 10467United States Division of Cardiothoracic Surgery Tulane UniversityNew OrleansLA 70112United States

Despite a record setting number of heart transplants performed annually,the national donor shortage continues to plague transplant teams across the United *** we describe the barriers to adaptation of numerous“non-traditional”orthotopic heart transplant donor characteristics including donors with hepatitis C virus,those meeting criteria for donation after cardiac death,donors with coronavirus disease 19 infection,donors with the human immunodeficiency virus,and grafts with left ventricular systolic *** center’s objective was to increase our transplant volume by expanding our donor pool from“traditional”donors to these“non-traditional”*** detail how medical advances such as certain laboratory studies,pharmacologic interventions,and organ care systems have allowed our center to expand the donor pool thereby increasing transplantation volume without adverse effects on outcomes.

关键词： Orthotopic heart transplantation Hepatitis C virus COVID-19 Left ventricular systolic dysfunction Human immunodeficiency virus Donation after cardiac death

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Detection of Alzheimer’s disease onset using MRI and PET neuroimaging:longitudinal data analysis and machine learning

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Neural Regeneration Research 2023年第10期18卷 2134-2140页

作者： Iroshan Aberathne Don Kulasiri sandhya Samarasinghe Centre for Advanced Computational Solutions(C-fACS) Lincoln UniversityChristchurchNew Zealand

The scientists are dedicated to studying the detection of Alzheimer’s disease onset to find a cure, or at the very least, medication that can slow the progression of the disease. This article explores the effectiveness of longitudinal data analysis, artificial intelligence, and machine learning approaches based on magnetic resonance imaging and positron emission tomography neuroimaging modalities for progression estimation and the detection of Alzheimer’s disease onset. The significance of feature extraction in highly complex neuroimaging data, identification of vulnerable brain regions, and the determination of the threshold values for plaques, tangles, and neurodegeneration of these regions will extensively be evaluated. Developing automated methods to improve the aforementioned research areas would enable specialists to determine the progression of the disease and find the link between the biomarkers and more accurate detection of Alzheimer’s disease onset.

关键词： deep learning image processing linear mixed effect model neuroimaging neuroimaging data sources onset of Alzheimer’s disease detection pattern recognition

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Functional repertoire of protein kinases and phosphatases in synaptic plasticity and associated neurological disorders

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Neural Regeneration Research 2021年第6期16卷 1150-1157页

作者： Raheel Khan Don Kulasiri sandhya Samarasinghe Centre for Advanced Computational Solutions(C-fACS) Lincoln UniversityChristchurchNew Zealand Department of Molecular Biosciences Lincoln UniversityChristchurchNew Zealand

Protein phosphorylation and dephosphorylation are two essential and vital cellular mechanisms that regulate many receptors and enzymes through kinases and ***^2+- dependent kinases and phosphatases are responsible for controlling neuronal processing;balance is achieved through *** molecular mechanisms of learning and memory,kinases generally modulate positively while phosphatases modulate *** review outlines some of the critical physiological and structural aspects of kinases and phosphatases involved in maintaining postsynaptic structural *** also explores the link between neuronal disorders and the deregulation of phosphatases and kinases.

关键词： Alzheimer’s disease autism spectrum disorder CaMKII calcineurin longterm depression long-term potentiation protein kinase A protein phosphatase 1 protein dephosphorylation protein phosphorylation

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Modeling protein-protein interactions in axon initial segment to understand their potential impact on action potential initiation

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Neural Regeneration Research 2021年第4期16卷 700-706页

作者： Piyush Bhardwaj Don Kulasiri sandhya Samarasinghe Centre of Advanced Computational Solutions(C-fACS) Lincoln UniversityChristchurchNew Zealand Department of Molecular Biosciences Lincoln UniversityChristchurchNew Zealand

The axon initial segment(AIS)region is crucial for action potential initiation due to the presence of high-density AIS protein voltage-gated sodium channels(Nav).Nav channels comprise several serine residues responsible for the recruitment of Nav channels into the structure of AIS through interactions with ankyrin-G(AnkG).In this study,a series of computational experiments are performed to understand the role of AIS proteins casein kinase 2 and AnkG on Nav channel recruitment into the *** computational simulation results using Virtual cell software indicate that Nav channels with all serine sites available for phosphorylation bind to AnkG with strong *** the low initial concentration of AnkG and casein kinase 2,the concentration of Nav channels reduces significantly,suggesting the importance of casein kinase 2 and AnkG in the recruitment of Nav channels.

关键词： Alzheimer’s disease ankyrin-G axon initial segment casein kinase-2 microtubules voltage-gated potassium channel voltage-gated sodium channel

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Alleviating the unwanted effects of oxidative stress on Aβclearance:a review of related concepts and strategies for the development of computational modelling

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Translational Neurodegeneration 2023年第1期12卷 702-721页

作者： Sarawoot Somin Don Kulasiri sandhya Samarasinghe Centre for Advanced Computational Solutions(C-fACS) Lincoln UniversityChristchurch 7647New Zealand Department of Wine Food and Molecular BiosciencesLincoln UniversityChristchurch 7647New Zealand

Treatment for Alzheimer’s disease(AD)can be more effective in the early *** we do not completely understand the aetiology of the early stages of AD,potential pathological factors(amyloid beta[Aβ]and tau)and other co-factors have been identified as causes of AD,which may indicate some of the mechanism at work in the early stages of ***,one of the primary techniques used to help delay or prevent AD in the early stages involves alleviating the unwanted effects of oxidative stress on Aβclearance.4-Hydroxynonenal(HNE),a product of lipid peroxidation caused by oxidative stress,plays a key role in the adduction of the degrading *** HNE employs a mechanism which decreases catalytic *** process ultimately impairs Aβ*** degradation of HNE-modified proteins helps to alleviate the unwanted effects of oxidative *** a clear understanding of the mechanisms associated with the degradation of the HNE-modified proteins is essential for the development of strategies and for alleviating the unwanted effects of oxidative *** strategies which could be employed to decrease the effects of oxidative stress include enhancing antioxidant activity,as well as the use of nanozymes and/or specific *** area which shows promise in reducing oxidative stress is protein ***,more research is needed to improve the effectiveness and accuracy of this *** paper discusses the interplay of potential pathological factors and *** particular,it focuses on the effect of oxidative stress on the expression of the Aβ-degrading proteases through adduction of the degrading proteases caused by *** paper also elucidates other strategies that can be used to alleviate the unwanted effects of oxidative stress on Aβ*** improve the effectiveness and accuracy of protein design,we explain the application of quantum mechanical/molecular mechanical approach.

关键词： Alzheimer’s disease Oxidative stress Amyloid beta clearance Protein design

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A simple single-step approach towards synthesis of nanofluids containing cuboctahedral cuprous oxide particles using glucose reduction

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Frontiers of Materials Science 2018年第1期12卷 74-82页

作者： U. sandhya SHENOY A. Nityananda SHETTY Department of Chemistry National Institute of Technology Karnataka Surathkal Mangalore 575025 Karnataka India Department of Chemistry College of Engineering and Technology Srinivas University Mangalore 574146 India

Enhancement of thermal properties of conventional heat transfer fluids has become one of the important technical challenges. Since nanofluids offer a promising help in this regard, development of simpler and hassle free routes for their synthesis is of utmost importance. Synthesis of nanofluids using a hassle free route with greener chemicals has been reported. The single-step chemical approach reported here overcomes the drawbacks of the two-step procedures in the synthesis of nanofluids. The resulting Newtonian nanofluids prepared contained cuboctahedral particles of cuprous oxide and exhibited a thermal conductivity of 2.852 W- m-1. K-1. Polyvinylpyrro- lidone （PVP） used during the synthesis acted as a stabilizing agent rendering the nanofluid a stability of 9 weeks.

关键词： cuprous oxide nanofluids thermal conductivity viscosity

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Deep Learning Based Face Detection and Identification of Criminal Suspects

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Computers, Materials & Continua 2023年第2期74卷 2331-2343页

作者： S.sandhya A.Balasundaram Ayesha Shaik School of Computer Science and Engineering Vellore Institute of Technology(VIT)Chennai600127India School of Computer Science and Engineering Center for Cyber Physical SystemsVellore Institute of Technology(VIT)Chennai600127India

Occurrence of crimes has been on the constant rise despite the emerging discoveries and advancements in the technological field in the past *** of the most tedious tasks is to track a suspect once a crime is *** most of the crimes are committed by individuals who have a history of felonies,it is essential for a monitoring system that does not just detect the person’s face who has committed the crime,but also their ***,a smart criminal detection and identification system that makes use of the OpenCV Deep Neural Network(DNN)model which employs a Single Shot Multibox Detector for detection of face and an auto-encoder model in which the encoder part is used for matching the captured facial images with the criminals has been *** detection and extraction of the face in the image by face cropping,the captured face is then compared with the images in the *** comparison is performed by calculating the similarity value between each pair of images that are obtained by using the Cosine Similarity *** plotting the values in a graph to find the threshold value,we conclude that the confidence rate of the encoder model is 0.75 and above.

关键词： Deep learning opencv deep neural network single shot multi-box detector auto-encoder cosine similarity

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