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Evidence for using pimavanserin for the treatment of Parkinson’s disease psychosis

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World Journal of Psychiatry 2019年第3期9卷 47-54页

作者： Rajesh R Tampi Deena J Tampi Juan J Young Silpa Balachandran Rakin A Hoq geetha Manikkara Department of Psychiatry and Behavioral Sciences Cleveland Clinic Akron GeneralOhioNH 44106United States Cleveland Clinic Lerner College of Medicine of Case Western Reserve University OhioCleveland 44195United States Diamond Healthcare RichmondVA 23219United States Case Western Reserve University School of Medicine Department of PsychiatryClevelandOH 44109United States Department of Psychiatry Summa Health SystemAkronOH 44304United States Department of Psychiatry Texas Tech University Health Science CenterMidlandTX 79701United States

The aim of this editorial is to evaluate the evidence for using pimavanserin for the treatment of Parkinson's disease psychosis(PDP)from randomized controlled trials(RCTs).We only identified two published trials that evaluated the use of pimavanserin among individuals with *** studies found that pimavanserin improved psychotic symptoms among individuals with PDP when compared to *** was fairly well tolerated in both studies and did not appear to cause significant sedation or worsen motor symptoms among individuals with ***,given the limited data,additional confirmatory studies are required before pimavanserin can be considered as a first line agent for the treatment of psychotic symptoms among individuals with PD.

关键词： Pimavanserin Parkinson’s disease Parkinson’s disease psychosis Psychosis Antipsychotic

Assessing suitability of Andrographis paniculata genotypes for rain-fed conditions in semi-arid climates

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Information Processing in Agriculture 2021年第2期8卷 359-368页

作者： Kuldeepsingh A.Kalariya Narendra A.Gajbhiye Ram Prasnna Meena Parmeshwar L.Saran Dipal Minipara Sinora Macwan K.A.geetha ICAR-Directorate of Medicinal and Aromatic Plants Research BoriaviAnandGujaratIndia

Medicinal plants are generally suggested for degraded land or areas having low *** paniculata is an important medicinal plant known for its diterpene lactone *** exposed 26 genotypes of *** to rain-fed condition during early-season rain-fed(ESRF)and mid-season rain-fed(MSRF)conditions and compared with the control to assess their suitability in semi-arid climate region of Gujarat,*** study was performed during two consecutive years 2016–2017 in split plot design with rain-fed conditions as main-plot treatment and genotypes as sub-plot treatment in three *** gaseous exchange parameters taken at 85100 days after transplanting exhibited mean photosynthesis rate was 20.5 lmol CO_(2) m^(-2)s^(-1) ranging between 15.9 lmol CO_(2) m^(-2)s^(-1) and 24.0 lmol CO_(2) m^(-2)s^(-1).Exceeding 7%decrease in stomatal conductance was recorded compared to the control plants under imposed rain-fed *** mean value of transpiration rate was 4.8 mmol H2O m^(-2)s^(-1).The mean value of water use efficiency was *** condition decreased leaf water potential from-0.517 to-1.189 *** dry herbage decreased by 29.2%due to MSRF condition as compared the *** andrographolide yield per plant suffered significantly and under ESRF condition it reduced mainly due to reduction in andrographolide *** andrographolide yield per plant in MSRF condition was mainly due to reduction in herbage *** revealed that ESRF and MSRF condition characterized by erratic rainfall pattern and dry spell is not beneficial for quality production in *** on the least decrease in andrographolide,yield two genotypes viz.,AP 6 and AP 12 identified to be suitable for ESRF condition and two genotypes viz.,AP 19 and AP 6 suitable for MSRF ***,four genotypes,AP 35,AP 39,AP 61 and AP 24 were suitable as the promising genotypes having high andrographolide yield.

关键词： Andrographis paniculata Andrographolide content Andrographolide yield Photosynthesis Rainfed condition Transpiration

Influence of material models on theoretical forming limit diagram prediction for Ti-6Al-4V alloy under warm condition

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Transactions of Nonferrous Metals Society of China 2016年第3期26卷 736-746页

作者： Nitin KOTKUNDE Sashank SRINIVASAN geetha KRISHNA Amit Kumar GUPTA Swadesh Kumar SINGH Department of Mechanical Engineering Birla Institute of Technology and Science-PilaniHyderabad CampusHyderabad 500078TelanganaIndia Department of Mechanical Engineering Gokaraju Rangaraju Institute of Engineering and TechnologyHyderabad 500072TelanganaIndia

Forming limit diagram (FLD) is an important performance index to describe the maximum limit of principal strains that can be sustained by sheet metals till to the onset of localized necking. It offers a convenient and useful tool to predict the forming limit in the sheet metal forming processes. In the present study, FLD has been determined experimentally for Ti?6Al?4V alloy at 400 °C by conducting a Nakazima test with specimens of different widths. Additionally, for theoretical FLD prediction, various anisotropic yield criteria (Barlat 1989, Barlat 1996, Hill 1993) and different hardening models viz., Hollomon power law (HPL), Johnson?Cook (JC), modified Zerilli–Armstrong (m-ZA), modified Arrhenius (m-Arr) models have been developed. Theoretical FLDs have been determined using Marciniak and Kuczynski (M?K) theory incorporating the developed yield criteria and constitutive models. It has been observed that the effect of yield model is more pronounced than the effect of constitutive model for theoretical FLDs prediction. However, the value of thickness imperfection factor (f0) is solely dependent on hardening model. Hill (1993) yield criterion is best suited for FLD prediction in the right hand side region. Moreover, Barlat (1989) yield criterion is best suited for FLD prediction in left hand side region. Therefore, the proposed hybrid FLD in combination with Barlat (1989) and Hill (1993) yield models with m-Arr hardening model is in the best agreement with experimental FLD.

关键词： Ti-6Al-4V alloy yield criteria hardening model Marciniak and Kuczynski theory forming limit diagram

Fungal symbionts of marine sponges from Rameswaram,southern India:species composition and bioactive metabolites

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Fungal Diversity 2012年第4期55卷 37-46页

作者： Nagamani Thirunavukkarasu Trichur S.Suryanarayanan Kozhikottu P.Girivasan Ambayeram Venkatachalam Venkatachalam geetha Jagadesan P.Ravishankar Mukesh Doble Department of Plant Biology and Plant Biotechnology Ramakrishna Mission Vivekananda CollegeMylaporeChennai 600004India Vivekananda Institute of Tropical Mycology(VINSTROM) Ramakrishna Mission VidyapithMylaporeChennai 600004India Department of Plant Biology and Plant Biotechnology Government Arts College for Men(Autonomous)NandanamChennai 600035India Department of Biotechnology Indian Institute of Technology of MadrasChennai 600025India

Ten marine sponge species from Rameswaram,southern India were studied for their filamentous fungal *** results suggest that fungal symbionts of marine sponges are *** such as Acremonium,Alternaria,Aspergillus,Cladosporium,Fusarium and Penicillium were frequently isolated;no true marine fungal species were *** of Aspergillus were dominant and co-dominant in all the sponges *** fungal isolates produced antialgal,antifungal,antioxidant,antibiotic,antiinsect metabolites.A few fungi produced acetylcholinesterase inhibitors.

关键词： Marine sponge Sponge symbionts Fungal symbionts Bioactive compounds Acetylcholinesterase inhibitors

Single Phase Induction Motor Drive with Restrained Speed and Torque Ripples Using Neural Network Predictive Controller

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Circuits and Systems 2016年第11期7卷 3670-3684页

作者： S. Saravanan K. geetha Department of Electrical and Electronics Engineering Sri Sai Ram Institute of Technology Chennai India Department of Electrical and Electronics Engineering Karpagam Institute of Technology Coimbatore India

In industrial drives, electric motors are extensively utilized to impart motion control and induction motors are the most familiar drive at present due to its extensive performance characteristic similar with that of DC drives. Precise control of drives is the main attribute in industries to optimize the performance and to increase its production rate. In motion control, the major considerations are the torque and speed ripples. Design of controllers has become increasingly complex to such systems for better management of energy and raw materials to attain optimal performance. Meager parameter appraisal results are unsuitable, leading to unstable operation. The rapid intensification of digital computer revolutionizes to practice precise control and allows implementation of advanced control strategy to extremely multifaceted systems. To solve complex control problems, model predictive control is an authoritative scheme, which exploits an explicit model of the process to be controlled. This paper presents a predictive control strategy by a neural network predictive controller based single phase induction motor drive to minimize the speed and torque ripples. The proposed method exhibits better performance than the conventional controller and validity of the proposed method is verified by the simulation results using MATLAB software.

关键词： Dynamic Model Low Torque Ripples Neural Model Neural Network Predictive Controller Unstable Operation Single Phase Induction Motor Variable Speed Drives

Adaline and FIS Techniques for Fault Identification in HV Transmission Line

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Circuits and Systems 2016年第10期7卷 3183-3192页

作者： K. Elango G. geetha Department of EEE Valliammai Engineering College Chennai India Department of EEE Annai Mira College of Engineering Chennai India

This paper is to identify and classify the various types of shunt and line faults in transmission line. The faults may be an insulation failure, lightning or accidental faulty operation. In a transmission line protection important factor is identifying a fault because if any error occurs in finding fault may leads to abnormal operation of the protection system. So either a disturbance or steady state variation is called power quality variation. The proposed test system is modeled based on the neural network and fuzzy algorithm. The online symmetrical components are extracted by this above algorithm. The fuzzy is used to separate the oscillating components and average components. Here input for the fuzzy is trained by using neural network. It is based on current samples and very effective in fault classifier using rule base. This method is very much suitable for online implementation.

关键词： Symmetrical Components Fuzzy Fuzzy Interference System Transmission-Line Protection

A Distributed Trust Based Secure Communication Framework for Wireless Sensor Network

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Wireless Sensor Network 2014年第9期6卷 173-183页

作者： geetha V. K. Chandrasekaran Department of Information Technology National Institute of Technology Karnataka Surathkal KarnatakaIndia Department of Computer Science and Engineering National Institute of Technology Karnataka Surathkal Karnataka India

The wireless sensor network is an emerging technology, which is used to sense and monitor the environment. As the nodes are deployed in an open environment, the security is one of the essential factors. The cryptography techniques can ensure confidentiality, integrity and authentication. However, wireless sensor network also needs to deal with inside and outside attackers. To deal with outside attackers, attacks by compromised or malicious nodes, trust management system is suggested by many researchers in the area of wireless sensor network. Trust management system can be implemented in various applications for security management such as secure data aggregation, secure cluster head selection, trusted routing, access control, etc. Many researchers provide different kind of solutions for these secure applications based on trust management. However, to incorporate, all such applications on a single sensor node in the network, it is essential to design and develop a trust management system, which considers various aspects and applications of wireless sensor network. As a result, in this paper, we would like to propose a parameter and trust factor based secure communication framework and design a trust management system for wireless sensor networks. Our main contribution is to identify various parameters and trust factors which influences on trust in wireless sensor network and developing a framework for a trust management system based on various parameters and trust factors. The working of the proposed model is shown by simulation experiments conducted in MATLAB for the application of secure communication, data aggregation and intrusion detection in wireless sensor networks.

关键词： Wireless Sensor Network Trust Management System Black Hole Sinkhole DOS Trust Factors

An Integrated Face Tracking and Facial Expression Recognition System

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Journal of Intelligent Learning Systems and Applications 2011年第4期3卷 201-208页

作者： Angappan geetha Venkatachalam Ramalingam Sengottaiyan Palanivel 不详

This article proposes a feature extraction method for an integrated face tracking and facial expression recognition in real time video. The method proposed by Viola and Jones [1] is used to detect the face region in the first frame of the video. A rectangular bounding box is fitted over for the face region and the detected face is tracked in the successive frames using the cascaded Support vector machine (SVM) and cascaded Radial basis function neural network (RBFNN). The haar-like features are extracted from the detected face region and they are used to create a cascaded SVM and RBFNN classifiers. Each stage of the SVM classifier and RBFNN classifier rejects the non-face regions and pass the face regions to the next stage in the cascade thereby efficiently tracking the face. The performance of tracking is evaluated using one hour video data. The performance of the cascaded SVM is compared with the cascaded RBFNN. The experiment results show that the proposed cascaded SVM classifier method gives better performance over the RBFNN and also the methods described in the literature using single SVM classifier [2]. While the face is being tracked, features are extracted from the mouth region for expression recognition. The features are modelled using a multi-class SVM. The SVM finds an optimal hyperplane to distinguish different facial expressions with an accuracy of 96.0%.

关键词： Face Detection Face Tracking Feature Extraction Facial Expression Recognition Cascaded Support Vector Machine Cascaded Radial Basis Function Neural Network

DIABATIC HEATING AND CONVECTIVE ASYMMETRIES DURING RAPID INTENSITY CHANGES OF TROPICAL CYCLONES OVER NORTH INDIAN OCEAN

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Tropical Cyclone Research and Review 2016年第1期5卷 32-46页

作者： B.geetha S.BALACHRAN India Meteorological Department Regional Meteorological Centre

Rapid changes in Tropical Cyclone(TC)structure and intensity are the most diffi cult aspects of TC *** intensity and structural changes associated with rapid intensifi cation(RI)and rapid weakening(RW)instances of TCs of North Indian Ocean(NIO)are analysed based on 5 cases each for RI and *** vertical profi les of heat(Q_1)and moisture(Q_2)based on heat and moisture budget equations are analysed to bring out the role of diabatic heating during the RI and RW *** associated structural changes are analysed based on the Fourier fi rst order wave number-1 asymmetry in the precipitation patterns associated with RI and RW *** RI process,there are 2 predominant Q_1 maxima associated with latent heat release near the TC centre,one in the upper troposphere and the other in the lower *** RW process,there is a single dominant Q_1 and Q_2 maxima in the *** the structural changes,there is a pronounced front-back asymmetry in both RI and RW *** asymmetry amplitude in the inner core is lower in the case of RI events but,is quite high for RW ***,RW events are characterised by large convective asymmetry.

关键词： tropical cyclone rapid intensifi cation heat budget moisture budget rainfall asymmetry Fourier analysis