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An Emergence of Dental Tissues in the Forensic Medicine for the Postmortem Interval Estimation:A Scoping Review

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Journal of Forensic Science and Medicine 2021年第2期7卷 54-60页

作者： Sridevi ugrappa Ajay Jain Senior Lecturer Department of Oral Medicine and Radiology2Associate ProfessorDepartment of Maxillo-facial ProsthodonticsFaculty of DentistryAIMST Dental InstituteAIMST UniversityBedongKedahMalaysia

It is observed that there is not enough literature to support the usefulness of dental tissue in forensic medicine for the estimation of postmortem interval(PMI).Therefore,the authors of this article have systematically reviewed the available literature to understand the most used dental tissues,the methods employed to evaluate these tissues,and their reliability in PMI estimation.A MEDLINE-PubMed search engine was used to review the literature using the keywords“teeth,”“dental tissues,”“post‑mortem interval,”and“forensic dentistry”from 2001 until *** most used tissue was dental pulp,but other cellular‑.and molecular‑level dental tissues such as enamel,dentin,cementum,periodontal ligament,odontoblast,and mitochondrial and nuclear DNA and RNA were also *** on this observation,the authors have provided the categorical classification to evaluate these dental tissues into morphological,histopathological,and molecular‑level examination to understand the reliability of these dental *** molecular examinations to evaluate these tissues were widely employed and emerging in the estimation of PMI as this method could provide a reliable outcome when compared with *** the literature reviewed was not enough to answer our questions,however,to conclude,the dental pulp is the widely used tissue so ***,more studies are required to authenticate the role of other dental tissues to predict the PMI at an early stage with cost‑effective and most convenient techniques.

关键词： Dental tissues forensic medicine forensic odontologist postmortem interval time since death

Performance Analysis of Breast Cancer Detection Method Using ANFIS Classification Approach

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Computer Systems Science & Engineering 2023年第1期44卷 501-517页

作者： K.nagalakshmi Dr.S.Suriya Department of Computer Science and Engineering Sethu Institute of TechnologyVirudhunagar626115Tamil NaduIndia Department of Computer Science and Engineering PSG College of TechnologyCoimbatore641004Tamil NaduIndia

Breast cancer is one of the deadly diseases prevailing in *** detection and diagnosis might prevent the death *** diagnosis of breast cancer remains a significant challenge,and early diagnosis is essential to avoid the most severe manifestations of the *** existing systems have computational complexity and classification accuracy problems over various breast cancer *** order to overcome the above-mentioned issues,this work introduces an efficient classification and segmentation ***,there is a requirement for developing a fully automatic methodology for screening the cancer *** paper develops a fully automated method for breast cancer detection and segmenta-tion utilizing Adaptive Neuro Fuzzy Inference System(ANFIS)classification *** proposed technique comprises preprocessing,feature extraction,classifications,and segmentation ***,the wavelet-based enhancement method has been employed as the preprocessing *** texture and statistical features have been extracted from the enhanced ***,the ANFIS classification algorithm is used to classify the mammogram image into normal,benign,and malignant ***,morphological processing is performed on malignant mam-mogram images to segment cancer *** analysis and comparisons are made with conventional *** experimental result proves that the pro-posed ANFIS algorithm provides better classification performance in terms of higher accuracy than the existing algorithms.

关键词： Breast cancer detection segmentation classification malignant

Fabrication, characterization, in vitro drug release and glucose uptake activity of 14-deoxy,11, 12-didehydroandrographolide loaded polycaprolactone nanoparticles

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Asian Journal of Pharmaceutical Sciences 2017年第4期12卷 353-362页

作者： nagalakshmi Kamaraj Pooja Yashwanthi Rajaguru Praveen kumar Issac Sujatha Sundaresan Department of Biotechnology School of Bioengineering SRM University

Biodegradable polymer based novel drug delivery systems brought a considerable attention in enhancing the therapeutic efficacy and bioavailability of various drugs. 14-deoxy 11, 12-didehydro andrographolide(poorly water soluble compound) loaded polycaprolactone(nanoDDA) was synthesized using the solvent evaporation technique. Nano-DDA was characterized by scanning electron microscopy(SEM) and dynamic light scattering(DLS) studies. Fourier Transform InfraRed Spectroscopy(FTIR) was used to investigate the structural interaction between the drug and the polymer. Functional characterization of the formulation was determined using drug content, cellular uptake and in vitro drug release. 2-deoxy-D-[1-~3H] glucose uptake assay was carried out to assess the antidiabetic potential of nano-DDA in L6 *** nano-DDA displayed spherical shape with a smooth surface(252.898 nm diameter), zeta potential, encapsulation and loading efficiencies of -38.9 mV, 91.98 ± 0.13% and 15.09 ± 0.18% respectively. No structural alteration between the drug and the polymer was evidenced(FTIR analysis). Confocal microscopy studies with rhodamine 123 loaded polycaprolactone nanoparticles(Rh123-PCL NPs) revealed the internalization of Rh123-PCL NPs in a time dependent manner in L6 myoblasts. A dose dependent increase in glucose uptake was observed for nano-DDA with a maximal uptake of 108.54 ± 1.42% at 100 nM on L6 myotubes, thereby proving its anti-diabetic efficacy. A biphasic pattern of in vitro drug release demonstrated an initial burst release at 24 h followed by a sustained release for up to 11 days. To conclude,our results revealed that nano-DDA formulation can be a potent candidate for antidiabetic drug delivery.

关键词： Nanoencapsulation Polycaprolactone 14-deoxy 11,12-didehydro andrographolide Glucose uptake In vitro drug release Cellular uptake

Region Centric GL Feature Approximation Based Secure Routing for Improved QoS in MANET

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Intelligent Automation & Soft Computing 2023年第4期36卷 267-280页

作者： S.Soundararajan R.Prabha M.Baskar T.J.nagalakshmi Velammal Institute of Technology Tamilnadu601204India Sri Sairam Institute of Technology Tamilnadu600044India SRM Institute of Science and Technology ChengapattuTamilnadu603203India Saveetha School of Engineering Tamilnadu600124India

Secure routing in Mobile Adhoc Network(Manet)is the key issue now a day in providing secure access to different network *** mobile devices are used in accessing different services,performing secure routing becomes a challenging *** this,different approaches exist whichﬁnd the trusted route based on their previous transmission details and behavior of different ***,the methods focused on trust measurement based on tiny information obtained from local nodes or with global information which are ***-ever,the adversary nodes are more capable and participate in each transmission not just to steal the data also to generate numerous threats in degrading QoS(Quality of Service)parameters like throughput,packet delivery ratio,and latency of the *** encourages us in designing efﬁcient routing scheme to max-imize QoS *** solve this issue,a two stage trust veriﬁcation scheme and secure routing algorithm named GL-Trust(Global-Local-Trust)is *** method involves in route discovery as like popular AODV(Adaptive On-demand Distance Vector)which upgrades the protocol to collect other information like transmission supported,successful transmissions,energy,mobility,the num-ber of neighbors,and the number of alternate route to the same destination and so ***,the method would perform global trust approximation to measure the value of global trust and perform local trust approximation to measure local *** both the measures,the method would select a optimal route to perform *** protocol is designed to perform localized route selection when there is a link failure which supports the achievement of higher QoS *** incorporating different features in measuring trust value towards secure routing,the proposed GL-Trust scheme improves the performance of secure routing as well as other QoS factors.

关键词： MANET secure routing two stage trust GL-trust quality of service

Multiple magnetic transitions and magnetocaloric effect of Tb_(4)Coln alloy

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Journal of Rare Earths 2023年第11期41卷 1721-1727,I0003页

作者： Remya U.D. Arun K. Swathi S. Athul S.R. Andrea Dzubinska Marian Reiffers nagalakshmi R. Intermetallics and Non-linear Optics Laboratory Department of PhysicsNational Institute of TechnologyTiruchirappalli620015India CPM-TIP University Pavol Jozef Safarik04011KošiceSlovakia Faculty of Humanities and Natural Sciences Presov UniversityPresovSlovakia Institute of Experimental Physics SASKosiceSlovakia

We report on the magnetic,magnetocaloric,thermal,and electrical transport properties of Tb_(4)Coln alloy,which crystallizes in two phases,Tb_6Co_(2.1)In_(0.8)(space group Immm)and Tb_(2)In_(0.9)Co_(0.1)(space group P6_(3)/mmc),*** alloy reveals three successive magnetic transitions around T_(1)(163 K),T_(2)(50 K),and T_(3)(29 K),respectively,associated with paramagnetic to ferromagnetic transition and two sequential antiferromagnetic *** low-temperature transition T_(3) follows the first-order magnetic behavior and exhibits the field-induced magnetic ***,T_(2) and T_(1) are found to be second-order in nature which opens a possibility for hysteresis-free magnetocaloric *** magnetocaloric properties are determined using different magnetocaloric figures of merits such as-ΔS_(M),ΔT_(ad).RCP,and TEC(10).Additionally,the universal curve behavior in the isothermal entropy change unveils the variation in critical exponents around T_(1) and T_(2) due to the magnetic inhomogeneity in the ***,the electrical transport properties of the metallic alloy denote the maximum magnetoresistance of-10%around T_(1).

关键词： Multiple magnetic transitions Order of magnetic transition Magnetocaloric effect Magnetoresistance Universal curve behavior Rare earths

An Optimized Deep-Learning-Based Low Power Approximate Multiplier Design

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Computer Systems Science & Engineering 2023年第2期44卷 1647-1657页

作者： M.Usharani B.Sakthivel S.Gayathri Priya T.nagalakshmi J.Shirisha Department of Electronics and Communication Engineering Er.Perunal Manimekalai College of EngineeringKonneripalliHosur635117India Department of Electronics and Communication Engineering Pandian Saraswathi Yadav Engineering CollegeSivagangaiTamilnadu630561India Department of Electronics and Communication Engineering R.M.D Engineering CollegeGummidipundiTamilnadu601206India Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur522502India Department of Electronics and Communication Engineering Malla Reddy Engineering CollegeHyderabadTelangana500015India

Approximate computing is a popularﬁeld for low power consumption that is used in several applications like image processing,video processing,multi-media and data *** Approximate computing is majorly performed with an arithmetic circuit particular with a *** multiplier is the most essen-tial element used for approximate computing where the power consumption is majorly based on its *** are several researchers are worked on the approximate multiplier for power reduction for a few decades,but the design of low power approximate multiplier is not so *** seems a bigger challenge for digital industries to design an approximate multiplier with low power and minimum error rate with higher *** overcome these issues,the digital circuits are applied to the Deep Learning(DL)approaches for higher *** recent times,DL is the method that is used for higher learning and prediction accuracy in severalﬁ***,the Long Short-Term Memory(LSTM)is a popular time series DL method is used in this work for approximate *** provide an optimal solution,the LSTM is combined with a meta-heuristics Jel-lyﬁsh search optimisation technique to design an input aware deep learning-based approximate multiplier(DLAM).In this work,the jelly optimised LSTM model is used to enhance the error metrics performance of the Approximate *** optimal hyperparameters of the LSTM model are identiﬁed by jelly search ***ﬁne-tuning is used to obtain an optimal solution to perform an LSTM with higher *** proposed pre-trained LSTM model is used to generate approximate design libraries for the different truncation levels as a func-tion of area,delay,power and error *** experimental results on an 8-bit multiplier with an image processing application shows that the proposed approx-imate computing multiplier achieved a superior area and power reduction with very good results on error rates.

关键词： Deep learning approximate multiplier LSTM jellyﬁsh

Design,synthesis and in vitro antibacterial activities of methyl-4-((substituted phenyl)[6H-indolo(2,3-b)quinoxalin-6-yl]methyl-amino)benzoate derivatives

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Chinese Chemical Letters 2011年第5期22卷 567-570页

作者： Yellajyosula Lakshmi Narasimha Murthy nagalakshmi Karthikeyan Govindh Boddeti Bhagavathula S.Diwakar E.Rajendra Singh Department of Organic Chemistry Andhra UniversityVisakhapatnam 530003India DRDO - HQ New Delhi 110011India

A series of new methyl-4-（（substituted phenyl）[6H-indolo（2,3-b）quinoxalin-6yl]methylamino）benzoate derivatives have been synthesized and assayed for their antibacterial activity on 9 different bacterial *** the screened compounds 2e-2g exhibited potent inhibitory activity compared to standard drug employed,worth further investigation.

关键词： Isatin Schiff base Mannich base Antibacterial activity

Magnetocaloric and magneto-transport properties of Gd_(10)Co_(20)Si_(70) alloy

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Journal of Rare Earths 2019年第1期37卷 74-79,M0004页

作者： T.P.Rashid K.Arun Ivan Curlik Sergej Ilkovic Marian Reiffers ANDrea Dzubinska R.nagalakshmi Intermetallics and Non-Linear Optics Laboratory Department of Physics National Institute of Technology(India) Faculty of Humanities and Natural Sciences Presov University Faculty of Natural Sciences P.J.Safarik University

We report the results of magnetic, thermodynamic, transport and magnetocaloric effect (MCE) studies of newly synthesized Gd_(10)Co_(20)Si_(70) alloy. These measurements confirm an antiferromagnetic transition at T_N=9 K. Both MCE and magnetoresistance (MR) show quadratic dependence on the applied magnetic field, indicating the presence of spin fluctuations in the alloy. The maximum values of the magnetic entropy change determined from the isothermal magnetization data for magnetic field change of 7 and9 T are found to be 10.5 and 15.6 J/kg·K, respectively. As a consequence of the spin fluctuations effect, the MCE peaks are pulled towards high temperature side as asymmetrically broadened peak. The MR attains a large positive value of 73%at 2 K in 8 T. The large MR and reversible MCE make this alloy an attractive multifunctional magnetic material.

关键词： Rare earth-transition metal alloy Magnetic properties Magnetocaloric effect Magnetoresistance Spin fluctuations

Effect of phytase superdosing, myo-inositol and available phosphorus concentrations on performance and bone mineralisation in broilers

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Animal Nutrition 2017年第3期3卷 247-251页

作者： Sophie A.Lee Devanaboyina nagalakshmi Mantina V.L.N.Raju Savaram V.Rama Rao Michael R.Bedford AB Vista Marlborough Department of Animal Nutrition College of Veterinary Science Dectorate of Poultry Research

A total of 2,376 one-day-old Ross broiler chickens were used to investigate the effect of myo-inositol(MYO) and phytase supplementation on performance and bone mineralization variables in broilers fed diets formulated to have varying concentrations of available phosphorus(P). The trial was designed as a2×2×3 factorial; with and without phytase superdosing(0 or 1,500 FTU/kg), MYO(0 or 3 g/kg), and dietary P(low, moderate or high). At 21 d, dietary phytase and MYO had no consistent benefit on bone mineralization variables. Bone ash reduced by 4.7% from the medium to low P diet(P < 0.01),with no effect of phytase supplementation. Superdosing improved bone P content by 6% in birds fed the low P diet, signifying an interaction between dietary P concentrations and phytase(P < 0.05). Dietary MYO addition resulted in a numerical reduction in bone ash and a significant reduction in bone strength(P < 0.05). At 42 d, the beneficial effect of phytase superdosing on feed intake and body weight gain was evident in the low P diet. Superdosing reduced feed conversion rate(FCR) at all P levels(P < 0.05),although this effect was more pronounced on the low P diet, suggesting that sufficient P being released from the phytase itself to re-phosphorylate MYO and hence improve FCR. The significant improvement in FCR was greater with superdosing than with MYO alone, and the combination led to no further improvement in FCR compared with superdosing alone, signifying a phytase and MYO interaction(P < 0.05). From these results, it can be estimated that MYO is providing around 30% to 35% of the total response to superdosing.

关键词： Phytase Myo-inositol Phosphorus Broiler Performance