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Spatio-Temporal Land Cover Analysis and the Impact of Land Cover Variability Indices on Land Surface Temperature in Greater Accra, Ghana Using Multi-Temporal Landsat Data

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Journal of Geographic Information System 2022年第3期14卷 240-258页

作者： aarthi aishwarya devendran Fabrice Banon Department of Built Environment and Energy Technology Linnaeus University V&#228 xjö Sweden Ecole Africaine des Métiers de l’Architecture et de l’Urbanisme Lomé Togo

Urbanization, as a result of anthropogenic activities, reduces the vegetated and green spaces and thereby increases the impervious surfaces in cities. This in turn increases the surface temperature of cities when compared to the rural regions resulting in the formation of urban heat island. Especially, in under-developed countries, it is very crucial to obtain timely and accurate information on the urban trend and its development due to the higher increasing rate of population growth and lack of infrastructural facilities and regulations to mitigate the adverse consequences of urbanization. The current study analyzes the urban development of Greater Accra, Ghana using Landsat 7 dataset acquired in 2002, 2013, and 2020. Further, the influence of urban growth on the land surface temperature (LST) and land cover variability (LCV) indices including NDVI (Normalized Difference Vegetation Index), NDBI (Normalized Difference Built-Up Index), and NDWI (Normalized Difference Water Index) is identified during the study periods. Results suggest that the area of built-up quadrupled between 2002 and 2020 in the study region. Shannon’s entropy-based analysis suggests that the urban development in the region is heterogeneous or dispersive in nature. Further, the regression analysis highlights a strong positive relation between LST and NDBI (0.755) and a negative relation is found associated between LST and NDVI (0.4417) and LST and NDWI (0.76). Results of the study could be useful to design sustainable urban socio-economic and environmental planning policies in the study region.

关键词： Land Surface Temperature Urbanization Land Cover Variability Indices Landsat 7 ETM Greater Accra

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Masseter Vestibular evoked myogenic potentials: A new tool to assess the vestibulomasseteric reflex pathway

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Journal of Otology 2024年第1期19卷 46-54页

作者： aishwarya Nagarajan Sujeet Kumar Sinha Department of Audiology AIISHMysore06India

Purpose: This review article provides the readers with an in-depth insight in understanding and interpreting various research literatures on the masseter vestibular evoked myogenic potentials(mVEMP). The article also reviews the contemporary researches involving the clinical applications of the mVEMP. Conclusions: Masseter VEMP is an evolving yet clinically promising neuro-otology test tool that has recently gained more research interest and is considered an additional tool to diagnose various vestibular disorders. Masseter VEMP assesses the functional integrity of the acoustic-masseteric and vestibulo-masseteric reflex pathways. The mVEMP could be used as a complementary test to evaluate the same peripheral generator as the cervical VEMP but a different central pathway i.e., vestibulo-trigeminal pathway. Various research studies that have experimented on parameters such as the effect of different electrode montages(zygomatic vs mandibular configurations), stimulation rates, filter settings and stimuli used to evoke mVEMP have been discussed in this article that could assist in the optimization of a comprehensive clinical protocol. The latency and the amplitude of mVEMP waveforms serve as significant parameters in differentiating normals from those of the clinical populations. Along with the cVEMPs and oVEMPs, mVEMP might help diagnose brainstem lesions in REM Sleep behaviour disorders, Multiple Sclerosis and Parkinson's disease. However, further studies are required to probe in this area of research.

关键词： Masseter vestibular evoked myogenic potentials(mVEMP) Vestibulo-masseteric pathway Acoustic-masseteric pathway

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CoopAI-Route: DRL Empowered Multi-Agent Cooperative System for Efficient QoS-Aware Routing for Network Slicing in Multi-Domain SDN

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2449-2486页

作者： Meignanamoorthi Dhandapani V.Vetriselvi R.aishwarya College of Engineering Guindy Anna UniversityChennai600025India

The emergence of beyond 5G networks has the potential for seamless and intelligent connectivity on a global *** slicing is crucial in delivering services for different,demanding vertical applications in this ***-generation applications have time-sensitive requirements and depend on the most efficient routing path to ensure packets reach their intended ***,the existing IP(Internet Protocol)over a multi-domain network faces challenges in enforcing network slicing due to minimal collaboration and information sharing among network *** inter-domain routing methods,like Border Gateway Protocol(BGP),cannot make routing decisions based on performance,which frequently results in traffic flowing across congested paths that are never *** address these issues,we propose CoopAI-Route,a multi-agent cooperative deep reinforcement learning(DRL)system utilizing hierarchical software-defined networks(SDN).This framework enforces network slicing in multi-domain networks and cooperative communication with various administrators to find performance-based routes in intra-and ***-Route employs the Distributed Global Topology(DGT)algorithm to define inter-domain Quality of Service(QoS)***-Route uses a DRL agent with a message-passing multi-agent Twin-Delayed Deep Deterministic Policy Gradient method to ensure optimal end-to-end routes adapted to the specific requirements of network slicing *** evaluation demonstrates CoopAI-Route’s commendable performance in scalability,link failure handling,and adaptability to evolving topologies compared to state-of-the-art methods.

关键词： 6G multi-domain multi-agent routing DRL SDN

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The Determination of Heritability in palatal Rugae Pattern among Parents and their Off-Springs in Western India-A Cross-sectional Study

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Journal of Forensic Science and Medicine 2024年第1期10卷 42-46页

作者： aishwarya Bhatnagar Sugandha Arya Jyothi S Kumar aishwarya Arya Kailash Chandra Morya Sudhir Baroopal Department of Oral Medicine and Radiology Vyas Dental College and HospitalJodhpurRajasthanIndia Department of Conservative and Endodontics Vyas Dental College and HospitalJodhpurRajasthanIndia

Background:Palatal rugae are asymmetrical elevations present on hard palate and are significant due to their uniqueness,stability and thus,aid in forensic ***:The objective is to determine palatal rugae morphology between parents and their offsprings and to determine their genetic *** and Methods:This randomized controlled cross-sectional single-blinded study was conducted on 50 families(randomly selected)who visited Vyas Dental College and Hospital.A total of 150 maxillary study models were examined and rugae were delineated and shape,size,and pattern of rugae were ***:Weak but significant correlation was seen in the nonspecific and angular type of palatal rugae between child and mother and child and father as P<*** with either or both of their parent was seen for curved,wavy,divergent,straight,horseshoe,angular,and nonspecific type of rugae with the higher%of wavy pattern matching(52%with mother and 54%with father).A considerable number of samples showed high heritability of primary and secondary rugae from both parents,but more predominantly to their mothers(branched,nonspecific,and straight).Conclusion:Both environmental and genetic factors can influence the rugae ***,studies should be conducted on a larger sample size to get more significant results.

关键词： Forensic identification heredity palatal rugae uniqueness

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Comparison of Urban Growth Modeling Using Deep Belief and Neural Network Based Cellular Automata Model—A Case Study of Chennai Metropolitan Area, Tamil Nadu, India

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Journal of Geographic Information System 2019年第1期11卷 1-16页

作者： aishwarya devendran aarthi Lakshmanan Gnanappazham Department of Earth and Space Sciences Indian Institute of Space Science and Technology Trivandrum India

Urban Growth Models (UGMs) are very essential for a sustainable development of a city as they predict the future urbanization based on the present scenario. Neural Network based Cellular Automata models have proved to predict the urban growth more close to reality. Recently, deep learning based techniques are being used for the prediction of urban growth. In this current study, urban growth of Chennai Metropolitan Area (CMA) of 2017 was predicted using Neural Network based Cellular Automata (NN-CA) model and Deep belief based Cellular Automata (DB-CA) model using 2010 and 2013 urban maps. Since the study area experienced congested type of urban growth, “Existing Built-Up” of 2013 alone was used as the agent of urbanization to predict urban growth in 2017. Upon validating, DB-CA model proved to be the better model, as it predicted 524.14 km2 of the study area as urban with higher accuracy (kappa co-efficient: 0.73) when compared to NN-CA model which predicted only 502.42 km2 as urban (kappa co-efficient: 0.71), while the observed urban cover of CMA in 2017 was 572.11 km2. This study also aimed at analyzing the effects of different types of neighbourhood configurations (Rectangular: 3 × 3, 5 × 5, 7 × 7 and Circular: 3 × 3) on the prediction output based on DB-CA model. To understand the direction and type of the urban growth, the study area was divided into five distance based zones with the State Secretariat as the center and entropy values were calculated for the zones. Results reveal that Chennai Corporation and its periphery experience congested urbanization whereas areas away from the Corporation boundary follow dispersed type of urban growth in 2017.

关键词： Deep Belief Neural Network Cellular Automata Urban Prediction Entropy Analysis Chennai Metropolitan Area

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Cluster sampling methodology to evaluate immunization coverage

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World Journal of Methodology 2024年第3期14卷 78-89页

作者： aishwarya Sharma RB Jain Jitesh Satija Aditi Sharma Avani Sharma Sudhir Shekhawat Department of Community Medicine School of Medical Sciences&ResearchSharda UniversityGreater Noida 201306UPIndia Department of Community Medicine World College of Medical Sciences&ResearchJhajjar 124103HaryanaIndia Department of Community Medicine ESIC Medical College&HospitalFaridabad 121012HaryanaIndia Department of Community Medicine Hamdard Institute of Medical Sciences&ResearchNew Delhi 110062India Department of Community Medicine Pt.B.D.Sharma Post Graduate Institute of Medical SciencesRohtak 124001HaryanaIndia Independent Biostatistician Ghaziabad 201014UPIndia

BACKGROUND Immunization is a key component of primary health care and an indisputable human *** are critical to the prevention and control of infectious disease *** coronavirus disease 2019(COVID-19)pandemic and associated disruptions over the past two years have strained the health systems,with many children missing out on essential childhood *** To evaluate the immunization coverage among 12-23-month-old children in the rural areas of Community Health Centre(CHC)Dighal and to determine the factors influencing the existing immunization *** A coverage evaluation survey was conducted according to the 30-cluster sampling technique,which is the standard methodology for such surveys devised by World Health Organization.A total of 300 children aged 12-23 months were included,whose immunization details were noted from their immunization *** Full immunization rate was noted in 86.7%of the children,with partial and non-immunized children accounting for 9%and 4.3%*** full immunization dropout rate was 4.2%.The common reasons for partial or non-immunization were family problem including illness of mother,vaccine not being available and child being *** of birth(P=0.014)and availability of immunization card(P<0.001)were significant predictors of the immunization *** the study was conducted in 2020/2021,health services were disrupted due to the COVID-19 *** Due to the coverage being higher than the national average,it was concluded that the immunization coverage was optimal and not affected by the COVID-19 pandemic.

关键词： Immunization coverage Children COVID 19 pandemic Vaccines Family health Routine immunization

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Disturbance Observer Based Speed Control of PMSM Using Fractional Order PI Controller

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 316-326页

作者： aishwarya Apte Ujjwala Thakar Vrunda Joshi the Department of Electrical Engineering AISSMS College of Engineering PVG’s College of Engineering and Technology

In this paper, fractional order PI(FOPI) control is developed for speed control of permanent magnet synchronous motor(PMSM). Designing the parameters for FOPI controller is a challenging task, especially for nonlinear systems like *** three PI controllers in the conventional vector controlled speed drive are replaced by FOPI controllers. Design of these FOPI controllers is based on the locally linearized model of PMSM around an operating point. This operating point changes with the load torque. The novelty of the work reported here is in use of Non Linear Disturbance Observer(NLDO) to estimate load torque to obtain this new operating point. All three FOPI controllers are then designed adaptively using this new operating point. The scheme is tested on simulation using MATLAB/SIMULINK and results are presented.

关键词： Fractional order PI (FOPI) non linear disturbance observer (NLDO) permanent magnet synchronous motor(PMSM) vector control

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Hydrocephalus Secondary to Intraventricular Myxopapillary Ependymoma: Case Report

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World Journal of Neuroscience 2024年第3期14卷 85-91页

作者： Juan Carlos Ayala-Alvarez Onyekachi Emmanuel Anyagwa Fátima Gabriela Macías-Ortiz Oluwatoyin Adalia Dairo Courtney Storm Truebody Reza Badrnejad aishwarya Bhuta Shashwat Sandeep Phade Srushti Kishor Jamdar Mostafa Yassin Vismaja Vijayan Neurology Department Hospital Civil Fray Antonio Alcalde Guadalajara Jalisco Mxico School of Medicine New Vision University Tbilisi Georgia

Ependymomas are a somewhat diverse category of glial tumors that often develop from the lining of the brain’s ventricles, or the spinal cord’s central canal. They make up 5% of all neuroepithelial tumors, 10% of paediatric brain tumors, and up to 33% of brain tumors in children under the age of three. Hydrocephalus is one of the complications, and it can be identified as progressive macrocephaly or increasing head circumference crossing percentiles, nausea, vomiting, poor appetite, irritability, and regression of developmental milestones.

关键词： Hydrocephalus Myxopapillary Ependymoma (MPE) Paediatrics Neurosurgery Glioma Intracranial Hypertension

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Heat Shocking the Jedi Master: HSP90’s Role in Regulating Stomatal Cell Fate

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Molecular Plant 2020年第4期13卷 536-538页

作者： aarthi Putarjunan Keiko U.Torii Howard Hughes Medical Institute and Department of Molecular Biosciences The University of Texas at AustinAustinTX 78712USA

Plant stomata facilitate efficient gas exchange and control water loss in plants throughout the course of their *** stomatal pores plants take in CO2 from the atmosphere for photosynthesis,resulting in O2 and H2O being released back into the atmosphere,which makes life on Earth ***,the density and distribution of stomata on the epidermis of photosynthetic organs are critical for overall plant growth and *** the rise in global warming and harsher climatic conditions that threaten food security for future generations,understanding how stomatal density and distribution can be altered may serve as a valuable tool for the generation of crops that can withstand the adverse environmental conditions such as drought,flooding,extremes in temperature,and excessive salinity(Endo and Torii,2019).Temperature fluctuations constitute a critical environmental factor affecting the spatiotemporal development of plants,and seasonal fluctuations in temperature can greatly influence crop yield and productivity of agriculturally important plant species.

关键词： distribution crops salinity

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Action Recognition for Multiview Skeleton 3D Data Using NTURGB+D Dataset

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Computer Systems Science & Engineering 2023年第12期47卷 2759-2772页

作者： Rosepreet Kaur Bhogal V.devendran School of Electronics and Electrical Engineering Lovely Professional UniversityPhagwara144411India School of Computer Science Engineering Lovely Professional UniversityPhagwara144411India

Human activity recognition is a recent area of research for *** recognition has many applications in smart homes to observe and track toddlers or oldsters for their safety,monitor indoor and outdoor activities,develop Tele immersion systems,or detect abnormal activity *** dimensions(3D)skeleton data is robust and somehow *** to this,it is one of the popular choices for human action *** paper proposed using a transversal tree from 3D skeleton data to represent videos in a *** proposed two neural networks:convolutional neural network recurrent neural network_1(CNN_RNN_1),used to find the optimal features and convolutional neural network recurrent neural network network_2(CNN_RNN_2),used to classify *** deep neural network-based model proposed CNN_RNN_1 and CNN_RNN_2 that uses a convolutional neural network(CNN),Long short-term memory(LSTM)and Bidirectional Long shortterm memory(BiLSTM)*** systemefficiently achieves the desired accuracy over state-of-the-art models,i.e.,88.89%.The performance of the proposed model compared with the existing state-of-the-art *** NTURGB+D dataset uses for analyzing experimental *** is one of the large benchmark datasets for human activity ***,the comparison results show that the proposed model outperformed the state-ofthe-art models.

关键词： Activity recognition multiview LSTM BiLSTM NTURGB+D

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