Miracle-dz/UniFAR-FTUs huggingface dataset:
Modulation of GABAergic transmission in the cerebellar stellate cell network by neurotransmitter spillover and synaptic cross talk

Cerebellar stellate cells are interconnected interneurons located in the outer molecular layer. They provide inhibition to Purkinje cells, thereby modulating the final output of the cerebellum. In this work, electrophysiological means were employed to study the stellate cell network at the single synapse level. Sustained excitatory input invading the molecular layer was found to depress the chemical transmission between stellate cells, due to a decrease in the release probability of the inhibitory neurotransmitter ? -Aminobutyric acid (GABA). Analysis of synaptic parameters combined with the application of pharmacological tools indicated the involvement of metabotropic GABAB receptors and ionotropic L-? -amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA)-receptors localized in the axon of stellate cells. Ca2+ imaging experiments performed with Two-photon Microscopy confirmed the role of presynaptic receptors in affecting the axonal Ca2+ signals that trigger GABA release. These findings support the relevance of presynaptic receptors and provide another example of neurotransmitter spillover and cross talk between synapses, enriching the scenario of signal transmission at central synapses. %%%%Zerebellare Sternzellen sind miteinander verknupfte Interneurone in der auseren Molekularschicht, die die Purkinje Zellen inhibieren und dabei den finalen Output vom Kleinhirn modulieren. In der vorliegenden Arbeit wurde das Netzwerk von Sternzellen mittels elektrophysiologischer Methoden auf der Ebene einzelner Synapsen untersucht. Es konnte gezeigt werden, dass erhohter erregender Input in der Molekularschicht zur Depression der chemischen Ubertragung zwischen Sternzellen fuhrt. Diese Depression ist zuruckzufuhren auf eine Reduktion in der Freisetzungswahrscheinlichkeit des inhibitorischen Neurotransmitters ? -Aminobuttersaure (GABA). Die Analyse der synaptischen Parameter kombiniert mit der Anwendung von Pharmaka zeigte die Beteiligung metabotropischer GABAB- Rezeptoren und ionotropischer L-? -Amino-3-hydroxy-5-methyl-4-isoxazol-propionsaure (AMPA)-Rezeptoren, die im Axon der Sternzellen lokalisiert sind. Ca2+-Imaging Experimente mit Hilfe der Zwei-Photonen Mikroskopie bestatigten die Rolle von prasynaptischen Rezeptoren bei der Modulation axonaler Ca2+ Signale, die die GABA Freisetzung auslosen. Diese Ergebnisse unterstutzen die Relevanz von prasynaptischen Rezeptoren und erbringen neue Hinweise fur Neurotransmitter Spillover und Cross Talk zwischen Synapsen und erweitern damit das Szenario der Signalubertragung in zentralen Synapsen.
Performance Improvement of Sensorless Vector Controlled Induction Motor Drive for Medium Power Applications

2061 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: B3325129219/2019©BEIESP DOI: 10.35940/ijeat.B3325. 129219  Abstract: This paper deals with sensorless vector controlled induction motor in which torque pulsations are reduced with improved input of induction motor. In proposed technique two multi winding transformers are used for generation of 18 sinusoidal signals given to rectifier unit and the rectifier output given as input to 9 level multi level inverter. In this proposed technique gating signals to the inverter switches will be provided through space vector pulse width modulation which considers speed as reference. This configuration was simulated in MATLAB/Simulink.and the simulation results are presented here with improvement in reduction of THD.
MODELLING AND SYNTHESIZING OF 3D SHAPE WITH STACKED GENERATIVE ADVERSARIAL NETWORK

1Information Technology, Saranathan College of Engineering, Trichy, India 2Assistant Professor, Information Technology Saranathan College of Engineering, Trichy, India -------------------------------------------------------------------------------***------------------------------------------------------------------------------Abstract 3D Generative Adversarial Network by using the recent advances from a probabilistic space in convolution networks and generative adversarial nets it generates 3D objects. 3D generated models can provide a good estimate of the eventual outcome of a particular process, and they can show us what is going to get build. We implemented that our method generates high-quality 3D objects, and our unsupervised learned features achieve impressive performance on 3D object recognition, comparable with those of supervised learning methods. The benefits of our model are three-fold instead of traditional heuristic method we use the adversarial criteria which enable the generator to capture object structure implicitly and to synthesize high-quality 3D objects, we can sample objects without a reference image if the generator maps from a low-dimensional probabilistic space to the space of 3D objects, the adversarial discriminator provides a powerful 3D shape descriptor which can learn without supervision. We demonstrate 3D-StackGAN for 3D object generation. We demonstrate that our models are able to generate precise 3D objects.
BITs and FDI Revisited: A Matching Approach

Bilateral Investment Treaties (BITs) are legal agreements between two governments with the goal of protecting and attracting FDI. However, existing research on whether BITs fulfill their intended purpose remains mixed. I argue that the empirical analysis of BITs must statistically account for the selection into BIT signing to identify the effects of BITs on FDI. Using a matching approach, I find that BITs do attract FDI.
Air Stable, Amorphous Organic Films and their Applications to Solution Processable Flexible Electronics

The rapidly expanding field of organic semiconductors for display and low-cost electronic applications requires materials, which not only have high mobility but also benefit from solution processability and environmental stability. In this paper we present a new class of solution coatable organic materials with excellent stability to air and light. Spin-coated FET devices operate at ambient conditions without encapsulation and show p-type field-effect mobilities of 2 x 10 -3 cm 2 V -1 s -1 and on/off ratios greater than 10 4 . Thin films can be deposited from common organic solvents onto a variety of substrates. These films are mechanically robust and can withstand temperatures in excess of 100 °C without significant changes in electrical performance. FET switching and transient characteristics at higher frequencies are also discussed. These types of materials should find applications in many areas of flexible electronics.
Identifying Plant Communities Resistant to Conifer Establishment Along Utility Rights-of-Way in Washington and Oregon, U.S.

A program to assess the utility of stable, low-growing plant communities in suppressing conifer seedling establishment along electrical rights-of-way was initiated in the states of Washington and Oregon, U.S., in 1999. The percentage of cover of all woody species and density of tree stems was described at three sites by sampling 1,376 plots, each 2 ´ 2 m. We asked if tree seedlings, principally Douglas-fir (Pseudotsuga menziesii), were distributed randomly among community types defined by growth form and percentage of cover. Douglas-fir seedlings were not randomly distributed and occurred less frequently within communities already occupied by dense vegetation. This included some, but not all, low-growing communitiese.g. , areas of dense grass or shrub communities of moderate to high cover. Douglas-fir seedlings were infrequent within patches dominated by trees and tall shrubs, but these do not fit the low-growing requirement of the program. Of particular concern to vegetation managers was the large number of Douglas-fir seedlings that regrew from an uncut lateral branch.
Smart Tyres: An Environmental-Friendly Solution to Road Accidents

4035 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: B4941129219/2019©BEIESP DOI: 10.35940/ijeat.B4941. 129219 Abstract: The absence of the tyres monitoring system on vehicle has caused difficulty for driver to check the pressure and temperature of the tyres in real time. Besides that, due to the large geographical area of rural area where the distribution of petrol station with air pump might not be equally distributed, certain area is hard to access air pump. The abnormal pressure and increases in temperature on tyre lead to longer braking distance, tyre blowouts and related issues. The paper describes the deployment of IoT sensors for monitoring application in tyres and data is accessible on mobile app. This monitoring system consists of two sensors to measure the temperature and pressure of the tyre using ESP32 microcontroller board and uploaded into the cloud platform using Wi-Fi technology. While Blynk the mobile app is designed to collect the informative data from the cloud platform and the data is represented in graphical representation using open source Cloud platform. It is made available for real-time monitoring data. Apart from that, this system also incorporates alert system to provide a scalable monitoring system as well as alerting the user for any abnormal reading of the tyre.
Encrypted Cloud Service

Student, Computer Science Department, Babu Banarasi Das National Institute of Technology and Management Lucknow-226028 , Uttar Pradesh , India 2Assistant Professor, Computer Science Department, Babu Banarasi Das National Institute of Technology and Management Lucknow-226028, Uttar Pradesh, India -------------------------------------------------------------------------***-----------------------------------------------------------------------AbstractCloud storage suppliers give cloud secret writing services to write down in code before the data is transferred to the cloud for storage. Secret writing (Encryption) is assumed to be one of the foremost effective approaches to data security, scrambling the content of any system, database, or get into such the best means that it’s impossible to access without a decryption key. By applying secret writing and active secure secret writing key management, corporations can certify that alone approved users have access to sensitive data. If the data is lost or stolen then it cannot be accessed by anyone without it’s key. Many of the primary works targeted on single keyword searches. Recently, researchers have planned solutions on conjunctive keyword search, that involves multiple keywords [3], [4]. Throughout this thesis, we tend to propose a phrase search theme that achieves a way faster retrieval than existing solutions. To safeguard data confidentiality against unauthorized user, numerous works area unit planned to support data access management. However, till now, no economical schemes can offer the state of access management in conjunction with the aptitude of double secret writing.
Investigating Overall Structure of Cyber-Attacks on Smart-Grid Control Systems to Improve Cyber Resilience in Power System

1,2Jagan Institute of Management Studies, Institutional Area, Sector-5, Rohini, New Delhi-110085, India -----------------------------------------------------------------------***-----------------------------------------------------------------------Abstract— The utilization of knowledge and communication technologies and computer-based software to reinforce the standard, efficiency, and reliability of smart grids (SGs) have brought unwanted threats in these systems; one in all the foremost important of such threats is cyber-attack. Understanding the ways to detect and cater to cyber threats in SGs will increase the resilience of power systems. During this paper, conceptual models of SG vulnerabilities are presented to deal with the problem of the vulnerability of SG control systems against cyber-attacks. Different scenarios of cyber-attacks are then prohibited in SG control systems to reinforce their resilience.
Modelling Road Traffic Accidents Counts in Tanzania: A Poisson Regression Approach

Road traffic accidents have become serious threats to Tanzanians in recent years. The outcry emanates from the increasing prevalence of negative effects of accidents on human lives, properties, environments and the economy. Poisson regression model was used to study the relationship between road accidents and the factors facilitating them in Tanzania. Count data on yearly road traffic accidents for Tanzania covering the period 1993 to 2019 were used. Due to over-dispersion of Poisson regression model, quasi-Poisson regression model was found the most appropriate approach for the analysis of these data. Results indicated that all predictors are significant under Poisson regression model with p-value less than 0.05 but high speed was found insignificant using quasi-Poisson regression model. All factors causing road accidents predicted minor increase of accidents, showing that current control measures on road accidents are likely to
MINERALS CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK

Abstract Fast and reliable identification of mineral is important for various applications like geological prospecting, mineral and engineering sciences, physics and other analytical studies. Minerals can be classified in a variety of ways, such as visually under a microscope, or by chemical analysis. The main objective of the paper is to identify and categorize seven classes of minerals using computational method. In this paper, Convolutional Neural Network(CNN) model is used to classify the minerals. The VGG-16 is one of the most popular CNN models for image classification. The overall performance shows 81% of accuracy for mineral classification.
Automated Switching Crash Analysis using ELK for Log Analysis

Switching crashes are a very big deal in the networking field as network outages are too very costly and are really undesirable. To avoid these and to bring back the networks to working state, the crash files that switches dump need to be analyzed. These crash files contain a humongous set of log data and is very difficult to manually analyze and troubleshoot the issue. The dump files comprise more than 500 files pertaining to different processes and contains millions of logs in them. Troubleshooting for an error through these logs is a very time consuming task and is like searching for a needle in the haystack. Time is a very important factor during troubleshooting as networks can’t remain down for considerable time period. Hence to speed up the process and make it more efficient, we need an effective and rapid fast log analysis tool. The paper focuses on studying the already available tools and drawing conclusions and zeroing upon using ELK stack which promises productivity, very high processing speeds, accuracy and a highly user friendly Graphical User Interface for the engineers.
Some Novel Generalized Strong Coupled Fixed Point Findings in Cone Metric Spaces with Application to Integral Equations

Fixed point (FP) has been the heart of several areas of mathematics and other sciences. FP is a beautiful mixture of analysis (pure and applied), topology, and geometry. To construct the link between FP and applied mathematics, this paper will present some generalized strong coupled FP theorems in cone metric spaces. Our consequences give the generalization of “cyclic coupled Kannan-type contraction” given by Choudhury and Maity. We present illustrative examples in support of our results. This new concept will play an important role in the theory of fixed point results and can be generalized for different contractive-type mappings in the context of metric spaces. In addition, we also establish an application in integral equations for the existence of a common solution to support our work.
Ayurvedic Plant Identification

1B.E. Student, 2B.E. Student, 3B.E. Student, 4Associate Professor of Information Technology Department Department of Information Technology Engineering, Shivajirao S. Jondhale College of Engineering, Dombivli East, Thane, Maharashtra 421201, India. --------------------------------------------------------------------***---------------------------------------------------------------------Abstract Ayurveda, the ancient form of medicinal practice is one of the most revered medicinal approach in the world. Ayurveda is mainly built on herbs, plants, flowers, fruits, vegetables and all plants that grows around us. Medicinal plants have been known to be an important possible source of curative aids. This involves the use of medicinal plants not only for the treatment of diseases but also as possible material for maintaining good health. Identifying an Ayurvedic plant in any huge vegetation is a monotonous work for us. We recognize a plant based on its size, leaves, flowers, fruits, etc. A leaf is a part of the plant which can be found on plants almost in all seasons and most of the time we have to identify plants on the basis of its leaf. While dealing with a leaf of a plant, it is important to consider the minute details of the curves representing the shape of the leaf. In our project, we are trying to build a system which has a database of 3 species of leaves. Our system involves mainly three procedures which includes resizing the image, feature extraction, and classification to get the result. A database of 95 leaves of 3 species i.e. Ajwain, Neem, Panfuti has been created. Each leaf image is resized first to decrease the time complexity of the classifier. Then for feature extraction we have used a scale-invariant feature transform (SIFT) algorithm. The SIFT is a feature detection algorithm to identify and describe local features in images. By using this algorithm we have extracted local features of plants like texture, edges, and values. And to classify the given leaf image we have used the K-Nearest Neighbor (K-NN) classifier which gives results on the basis of distance metrics.
Modeling the change detection process state of objects in monitoring data

A model for detecting anomalous data based on the research of sample uniformity is proposed. The method is designed to solve the detecting changes problem in the flow’ state of controlled data using normal and gamma distributions models based on the Spearman nonparametric statistics criterion. The research results about intensity values that influence on requests generating, the intensity of servicing applications, the system load, the volume of samples, the time points of measuring characteristics and significance levels on the change the control object state are presented. The method can be used to control the process of detecting changes in UMV resources states. Currently, the process of anomalies rapid detection in the monitoring data of critical infrastructure objects is a complex, time-consuming and difficult to formalize task. Intrusion detection systems are the most effective counter-measure and the most reliable approach to ensure the protection of automotive networks or traditional computer networks.
Caribbean intraplate deformation : Paleomagnetic evidence from St . 1 Barthélemy Island for post-Oligocene rotation in the Lesser Antilles forearc 2 3

1 Géosciences Montpellier, UMR 5243, CNRS, Université des Antilles-Université de 7 Montpellier, Campus de Fouillole, 97159 Pointe-à-Pitre, FWI. 8 2 Department of Earth Sciences, Utrecht University, Princetonlaan 8A, 3584 CD Utrecht, the 9 Netherlands. 10 3 Department of Environmental Systems Science, ETH Zürich, Universitätstrasse 16, 8092 11 Zürich, Switzerland. 12 4 Office of the Vice-Provost (Research), 2 Taviton Street, London WC1H 0BT. 13
CHANGES IN PHOTOSYNTHESIS RELATED PARAMETERS IN ISABGOL

Sequential changes in leaf chlorophyll content and associated gas exchange parameters in isabgol (Plantago ovata) were recorded over a period of nine days starting from initial sporulation to severe chlorosis in a highly downy mildew susceptible cultivar (Niharika). The Downy mildew caused significant reduction in chlorophyll content. The loss of chlorophyll was more severe in case of chlorophyll ‘a’ compared to chlorophyll ‘b’. Net photosynthetic rate and stomatal conductance in the diseased leaves also reduced compared to healthy ones. However, internal CO2 concentration (Ci) increased in diseased leaves. Difference between healthy and infected leaves in terms of stomatal conductance and Ci became significant at ninth day of study. In the complex situation of variable disease severity and leaf physiological stage, we found net photosynthetic rate was highly correlated (r = ~0.8) with the disease severity.
Tubular Steel Truss Optimization Using Genetic Algorithms and Stiffness Method

In this paper, an attempt is made to develop an optimization model for design of a steel truss using Genetic Algorithms (GAs) and 2D truss analysis using stiffness method program of NewCivil.com in the MATLAB. The objective function is to minimize the total weight of the truss, subjected to satisfaction of the constraints of axial stresses in the members of the truss and nodal displacements. The 2D truss analysis program is validated with STADD.Pro V8i. The constraints violation is handled by using an adaptive penalty function. GA tool kit functions and the 2D analysis program are combined and implemented in MATLAB. The proposed model is tested on a 3-bar steel tubular truss. After several runs and out of many optimal solutions obtained, the solution with a total weight of 150.15 Kg is considered as the best and the corresponding results are presented. © 2015 Elixir All rights reserved. ARTICLE INFO Article history: Received: 11 September 2015; Received in revised form: 28 October 2015; Accepted: 03 November 2015;
Prospect of Ag Alloy Bonding Wire in Microelectronic Packaging

The limitations of Au bonding wire, Cu bonding wire and Ag bonding wire, which are commonly used in microelectronic packaging, were discussed. The excellent mechanical properties, bonding properties and high reliability of bonding Ag alloy wire were analyzed. And the research direction and development prospect of Ag alloy wire as bonding wire in the future IC packaging were described.
Binary-Like Topology Optimization of Piezoelectric Metamaterial Plate with Interface Circuits Using Extended Plane Wave Expansion Method

Piezoelectric metamaterial plate (PMP) is being investigated for structural vibration energy harvesting (SVEH), in which an interface circuit is often used. Thus, it is a challenge to perform bandgap optimization of such an elastic–electro–mechanical coupling system. This paper presents a binary-like topology optimization scheme by dividing the unit cell into identical pieces, where a {0, 1} matrix is optimized to indicate material distribution. Firstly, a unified motion equation is derived for the elastic plate and the piezoelectric patch, and an electromechanical coupling model is built for a self-powered synchronized charge extraction circuit. Then, an extended plane wave expansion method is presented to model the bandgap character of the PMP with interface circuits (PMPICs), and the numerical solution of the dispersion curves is derived based on the Bloch theorem. Next, an extended genetic algorithm is applied for the topology optimization of the PMPIC. In the end, numerical and finite element simulations are performed to validate the proposed method. The results demonstrate that both the structure and the circuit can be optimized simultaneously to obtain the maximum first-order bandgap at a given central frequency. Therefore, the proposed method should provide an effective solution for the topology optimization of a PMPIC for broadband SVEH.