Miracle-dz/UniFAR-FTUs huggingface dataset:
CURCUMIN PROTECTION AGAINST OXIDATIVE STRESS INDUCED NEURAL DAMAGE IN DEVELOPING BRAIN OF RAT WITH FLUORIDE EXPOSURE

*Corresponding Author: Mr. Pratap Reddy Karnati, C/0 Prof. Karnati Pratap Reddy, Neuroscience Lab, Department of Zoology, Osmania University, Hyderabad-500007, Telangana, India. 4077 CURCUMIN PROTECTION AGAINST OXIDATIVE STRESS INDUCED NEURAL DAMAGE IN DEVELOPING BRAIN OF RAT WITH FLUORIDE EXPOSURE Kirankumar Nagapuri, Rajkiran Reddy Banala and Pratap Reddy Karnati* Neuroscience Lab, Department of Zoology, Osmania University, Hyderabad-500007, Telangana, India
Study of SC-FDMA MIMO Systems Using Block Coding Schemes and Their PAPR and BER Performance

: The 3GPP Long term evolution uses single carrier frequency division multiple access for uplink and orthogonal frequency division multiple access for downlink communication. SCFDMA is a recent technique which has advantage of low PAPR compared to OFDMA system so that the power amplifiers will be battery efficient. Coding over the space, time, and frequency domains provided by MIMO-OFDM system will enable a much more reliable and robust communication over the harsh wireless environment. This article presents an overview of Space time, space frequency and quasi orthogonal space frequency coded MIMO-OFDM systems and employing multiple antennas. Also the Bit Error Rate and PAPR values of the systems will be compared.
MR IMAGE CLASSIFICATION USING WKNN AND E-LTrP

— Image classification is one of the important steps in image annotation. Features extracted from the image serves as the base for image classification. For medical images local features have more discriminative power than global features. Enhanced Local Tetra Patterns (E-LTrP) of medical images are extracted for constructing the feature set of training images together with the perceptual features. But matching features with base images alone does not have good outcome in the context of image annotation. Hence images need to be further classified using a classifier. This paper compares the outcome of results without a classifier and using a classifier. Two types of classification employed in annotation are supervised and unsupervised. The method employed in this work is supervised image classification using Weighted K-NN classifier and classification using E-LTrP features.
Optimal Sentence Clustering Using An Innovative Hierarchical Fuzzy Clustering Algorithm

The role of data clustering is inevitable in many text processing activities . Many proceedings are going on in this area since it has wider applications. Sentence clustering is a challenging task when compared with other data clustering, because a sentence is able to represent same ideas in different ways. For E.g. some people see a glass as half empty and some others see half full. Due to this variability fuzzy relational clustering algorithms are more able to produce optimal results in sentence clustering applications, since they allow the data elements to blend in more than one cluster with different cluster membership values. This paper presents a novel hierarchical fuzzy clustering algorithm which is capable of identifying the sub clusters within a cluster using a partitioning method.
THE EFFECT OF CAPITAL STRUCTURE ON THE FINANCIAL PERFORMANCE OF NIGERIAN QUOTED CONGLOMERATES

This study investigated the effect of Nigerian banks’ capital structure on the performance of conglomerates quoted on the floor of the Nigerian stock exchange from 2011 to 2015. The paper identified four levels of dependent variables such as return on assets, ratio (ROA), return on equity ratio (ROE), assets turnover ratio (AT) and earnings per share whereas the independent variable is financial leverage. Essentially the paper sets out to determine the effect of capital structure on the above dependable variables hence return on assets of quoted conglomerates, return on equity of quoted conglomerates, asset turnover of the quoted conglomerates and on the earnings per share of quoted conglomerates. Descriptive statistics and the pooled ordinary least square (POLS) regression analytical method were used for data analysis. The study finds that capital structure has effect on both return on assets and asset turnover of the conglomerates but no effect on return on equity and earnings per share of the conglomerate. It is then concluded that an in-depth analysis of business factors which affect a particular industry should be considered so as to obtain the benefits of the debt-equity mix. The result of the study is in agreement with most previous studies on other sectors that discovered mixed results on the effect of capital structure on financial performance. It is therefore necessary to employ a critical analysis of the appropriate debt-equity mix suitable for the company.
Minimum Surface Area Based Complex Hole Filling Algorithm of 3D Mesh

Filling holes of 3D models is an important and complicated process. In this paper, we introduce a new and robust method for (cid:12)lling complex holes in triangular mesh models. In order to (cid:12)ll separate holes, the boundary edges of a hole are smoothly arranged and then locally uniform new points are added to the hole. The new points are selected by minimizing a hole (cid:12)lling area. The Delaunay triangulation method in a local area is applied for creating new meshes. By considering vertices of islands in a hole, new points can be added to the hole, which allows (cid:12)lling of a complex hole with islands.
Music Classification using Spectral Features and SVM

- The huge growth of the digital music databases people begin to realize the importance of effectively managing music databases relying on music content analysis. Music classification serves as the fundamental step towards the rapid growth and useful in music indexing. Searching and organizing are the main characteristics of the music classification system these days. This paper describes a technique that uses support vector machines (SVM) to classify songs based on features using Spectral Features. Experimental results of multi-layer support vector machines shows good performance in musical classification and are more advantageous than traditional Euclidean distance based method and other statistic learning methods
An Enhanced and efficient mechanism to detect Sybil attack in Wireless Sensor Networks

--Wireless sensor networks are used for many different applications these days such as in environment applications, military applications, queue tracking, etc. In today’s scenario, security in WSN is one of the major issue.WSN are vulnerable to different types of attacks due to various constraints such as low battery power, less memory, and associated low energy. These attacks lead to decrease in performance of the network, decrease in packet delivery rate. Sybil attack is one of the attacks in which a node forms its multiple identities in the network and thus leads to decrease in performance of the network. Balachandran Nitish et.al discussed various techniques to mitigate Sybil attacks such as trusted certification, resource testing, privilege attenuation, RSSI scheme, random key distribution. By detecting this attack performance of the network can be increased. Also packet drop can be reduced.
Ischemia and Reperfusion Injury: General Aspects and Mechanisms

Ischemia and reperfusion injury is present in many daily medical situations, as the resolution of thrombolysis, cardiopulmonary bypass, transplantation, circulatory shock and many others. It is defined as the functional and structural changes that occurs after the restoration of the blood flow after a long period of ischemia. The major event that determinates this phenomenon is the oxidative stress caused by the over production of reactive oxygen species and reactive nitrogen species. The Xanthine oxidase enzyme, the leukocytes and the inflammatory mediators plays a key role in this process. The inflammation after this event can be so great that reaches a systemic level, hitting remote organs, leading to the multiple organ dysfunction syndrome. Some techniques were proposed to minimize or even prevent this condition as the ischemic preconditioning, local and at distance, and the ischemic postconditioning, also local and at distance.
Generic Opinion Mining System for Decision Support

— Social networking sites prove to be indispensible tools for decision making owing to the large repository of user views accumulated over a period of time. Such a real data can be exploited for various purposes such as making buying decisions, analysing the user views about new product launched by a company, product promotion campaign , impact of policy decisions made by a political party on society etc. In the current work the authors have proposed a generic model for feature based polarity determination by sentiment analysis of tweets. This model has been implemented by the seamless integration of R tool, XML, JAVA, Link Parser A practical multistep system, in place, efficiently extracts data from tweet text, pre-process the raw data to remove noise, and tags their polarity. Data used in the current study is derived from online product feature based reviews collected from tweeter tweets. Link parser version 4.1 b is employed for parsing a natural sentence which is broken into multiple tokens corresponding to noun and adjective before being stored in a persistent storage medium. The objectivity score is determined using SentiWordNet 3.0 lexical resource which is parsed using a tool implemented in Java. The linguistic hedges are taken care of using Zadeh’s proposition which modifies the final objectivity score. The objectivity score so computed, provides the necessary guidelines in influencing decisions. The authors have tested the model for product purchase decisions of two different sets of products, smart phone and laptop based on predefined set of features. The model is generic and can be applied to any set of products evaluated on a predefined set of features.
AN EFFICIENT METHOD FOR DENIAL OF SERVICE ATTACK DETECTION USING GENETIC ALGORITHM

At the present time, it is very vital to maintain a high level security to make certain harmless and reliable communication of information between various institutions. In Highly Active Networks, the occurrence of disruptive or suspected Network Attacks leads to enormous destruction of data. Denial of Service Attack Detection System aims at observing the attacks on the Internet from normal use of it. It is a crucial part of the network security system. The new guard system is suitable for efficient implementation for the detection of Denial of Service (DoS) attacks. The proposed method presents a Genetic Algorithm (GA) to detect the Denial of Service attacks. A DoS attack is a type of attack in which the intruder makes the system resources too busy to reject other users from accessing. The Genetic Algorithm enables to learn something for themselves that initiates the process of natural Selection. It is used to generate practical resolution for making the solution as a perfect. The GA uses a development process that contains the selection, crossover and mutation techniques to identify the DoS attacks. This detection approach is very accurate and efficient in the detection of DoS. The proposed system achieves a better performance. By using this algorithm, the detection of the attack is very efficient.
Automatic Speaker Recognition using LPCC and MFCC

— A person's voice contains various parameters that convey information such as emotion, gender, attitude, health and identity. This report talks about speaker recognition which deals with the subject of identifying a person based on their unique voiceprint present in their speech data. Pre-processing of the speech signal is performed before voice feature extraction. This process ensures the voice feature extraction contains accurate information that conveys the identity of the speaker. Voice feature extraction methods such as Linear Predictive Coding (LPC), Linear Predictive Cepstral Coefficients (LPCC) and Mel-Frequency Cepstral Coefficients (MFCC) are analysed and evaluated for their suitability for use in speaker recognition tasks. A new method which combined LPCC and MFCC (LPCC+MFCC) using fusion output was proposed and evaluated together with the different voice feature extraction methods. The speaker model for all the methods was computed using Vector Quantization-Linde, Buzo and Gray (VQ-LBG) method. Individual modelling and comparison for LPCC and MFCC is used for the LPCC+MFCC method. The similarity scores for both methods are then combined for identification decision. The results show that this method is better or at least comparable to the traditional methods such as LPCC and MFCC.
EFFECTIVE USES AND RESISTANCE OF DEWORMING DRUGS AGAINST GASTROINTESTINAL NEMATODES IN SMALL RUMINANTS

Gastrointestinal nematode parasitism is one of the major factors limiting sheep production worldwide because they cause heavy economic losses in meat and wool production. Gastrointestinal parasitism is the major cause for morbidity and mortality in ruminants. Severe anemia, reduction in functional gastric gland mass, severe damage to gastric mucosa and villous astropy caused by these worms are responsible for the death due to parasitic gastroenteritis. In India, the common nematode species encountered is Haemonchus contortus in small ruminants. This review throws light on the different mechanisms and contributory factors affecting the development of anthelmintic resistance, the diagnosis and means to prevent the resistance at field level. The emergence of multiresistant nematode has shown that the previously used control strategies is no longer a chemically success method. The interpretation of fecal egg count reduction test has been modified and suggestions are made on its use with persistent anthelmintics.
Evaluation of the Immune Response to Live Infectious Bronchitis Disease Vaccines and Their Effect for the Protection against Renal Damage of Layer Chickens in Upper Egypt

Infectious bronchitis virus (IBV) is a major highly contagious cause of respiratory infection and poor egglaying performance in layer chickens in Upper Egypt. Infectious bronchitis virus considered as one of the most common and difficult poultry diseases to control. In this study we make evaluation of the ability of the infectious bronchitis (IB) Ma5 and 4/91 live-attenuated vaccines to protect against kidney damage caused by a Upper Egypt local nephropathogenic IBV strain closely related to Massachusetts (Mass) serotype was isolated from layer chickens farms, field cases showing typical kidney lesions and after serial passages in (SPF) embryonated chicken eggs can isolate these local isolate from layer chickens farms in Upper Egypt and The isolate was serologically identified by Dot-ELISA. The protection parameters considered were gross and microscopic renal pathology, and the use of a polymerase chain reaction to detect IB RNA in kidney tissue. Conclusion: By each parameter, 4/91 alone or the combined program both protected well. But Ma5 vaccine alone provided low protection; a good antibody response and a good level of protection against IBV 4/91 can be achieved by a vaccination program based on live priming with IB (Massachusetts type Ma5) and IB 4/91, followed by vaccination with an inactivated vaccine of the Massachusetts type this will provides. This program will provide antibody titres throughout the life cycle of the hens not only against Massachusetts but also against IBV 4/91. The results confirm the validity of the concept of crossprotection and emphasis the importance of carefully designing vaccination programs to control new variant serotypes under field conditions. [AL Hussien, M. Dahshan and A.S. Hussien. Evaluation of the Immune Response to Live Infectious Bronchitis Disease Vaccines and Their Effect for the Protection against Renal Damage of Layer Chickens in Upper Egypt. J Am Sci 2012;8(12):125-131]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 19
Load Balancing in the Cloud Computing Using Virtual Machine Migration: A Review

Cloud computing is a model that enables its end users a convenient and huge , on demand network access to multiple distributed computing resources, say, storage, network, CPU, disk drives, servers, applications, and services etc. which can be rapidly assigned and released with a minimal service provider interaction with end user. Load balancing is a mean for distributing workloads across multiple computing resources. Its main motive is to optimize the usage of resources, maximizing Throughput, minimizing Response Time, and also avoiding unnecessary overload of any such resources. It becomes a serious problem with the continuous increase in the number of users and type of applications on clouds. In this paper we have surveyed various challenges in attaining Load balancing in cloud environment. We also have discussed a way to optimize the usage of Virtual Machine Migration which is an utmost requirement to achieve Load balancing in clouds. Here a brief survey is done on various load balancing techniques, its challenges.
A Comparative Study of Sperm Morphology and Morphometrics of Wild and Domestic Male Rabbits in Saudi Arabia

The purpose of this study was to investigate spermatozoa morphometrics in two strains of male rabbits (Sylvilagus species and Oryctolausspecies) in Saudi Arabia.Semen samples were collected from the caudal epididymis of the adult male rabbits by conventional methods and smeared on the slides then stain, examine under the microscope and photographed. Spermatozoa morphology in both strains was assessed from a total count of 100 spermatozoa. The parameters assessed werehead length,head width,midpiece length and tail length. Abnormalities in spermatozoa such as tail coiled around head, around mid piece, tail coiled below stumpy tail, bent tail and decapitated or detached head were also detected. Results showed a significant difference (p<0.05) in tail length and midpiece length of spermatozoa between the two strains. There was significant difference between the two strainswith regard to abnormal head,tail coiledaround head, tail coiled around mid piece, detached head and condensed acrosomes.The study revealed a negative influence of spermatozoa abnormalities on its quality and fertilization. [Abdul Rahman A. I. AL-Yahya. A Comparative Study of Sperm Morphology and Morphometrics of Wild and Domestic Male Rabbits in Saudi Arabia. J Am Sci 2014;10(9):177-182]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 24
Performance Analysis of Maximal Spectral Efficiency for Multi-Cell Massive MIMO Systems

Cellular and wireless communication spectral efficiency (SE) increases massive multiple-input multiple-output (M-MIMO) is play vital role, by accommodate hundreds or thousands of antennas at base station (BS) and performed. A common fundamental procedure of M-MIMO systems should have more number of BS antennas M than scheduled users (K), because when M/K>10 the all user equipments (UEs) channel vectors suitable to be orthogonal. In this paper, we studied and evaluate the how depends on M and other system parameters on the number of optimal scheduled UEs (k*). A new SE expression is obtained and to allow the system performance is efficient under power control, random allocation of pilot reuse factor and UE positions. Simulation results shows that the M-MIMO system how many number of UEs should be scheduled and obtain the maximum SE per cell with various pilot reuse factors and preprocessing techniques at finite BS antennas.
Comparative Questions Entity Mining: A Review

: Comparative information extraction is one of the hurdles in text mining and an area of research. Comparing two things is a regular habit of human decision making process. Though it is not always known what to evaluate and what are the alternatives as people do comparison of two things for various reasons. Comparative entity mining extracts the comparable or alternative entity from the comparative questions. In this paper, studies the number of techniques that finds or evaluates alternative options and also the techniques that automatically generates patterns for mining.
Poplar for District Heating: A Mamdani-type Fuzzy Inference System

In this paper the annual heat’s generation at a district heating plant in relation to the cultivating area with poplar and to the land’s yield was estimated by the building a Mamdani-type fuzzy inference system using the Fuzzy Logic Toolbox Graphical User Interface (GUI) Tools of Matlab (Intelligent system). Data for this study were collected by research papers. This industrial unit will contribute to the local development as it can provide jobs for a great part of the rural population for the cultivation of poplar. The cultivation of poplar is one of the new promising energy crops for district heating and it constitutes a way out from the problems that the agricultural sector faces nowadays. In this paper an ideal solution was estimated which is formulated as follows “the district heating plant absorbing the poplar’s production of a cultivating area of 627.3 acres and having a mean land’s yield in the order of 11.2 tons dm/acre/year would produce 3,000 KW of heat annually”. The consumption (combustion) of 7,026.30 tons dm of poplar biomass annually is required for the production of a thermic power of the district heating plant in the order of 3 MW (or 3,000 KW) to meet the needs for space heating and water heating for a community of 300 residences. 627.3 acres cultivated with poplar are required for district heating of these 300 dwellings. Such an area of land would offer a complementary occupation to a significant number of young farmers for the cultivation of poplar which will probably be well subsidized, will provide economic motives to the planters, support the agricultural economy and sustain the population in the countryside.
A Survey on Odia Character Recognition

— Recognition of Odia handwritten and machine characters and numerals is an emerging area of research and finds extensive applications in banks, offices and industries. Very little standard research work has been reported on recognition of handwritten and machine characters and numerals. This paper makes an in depth study on the existing literature on recognition of machine and handwritten Odia characters and numerals. The key steps [44] such as preprocessing, segmentation, feature extraction and classification involved in the recognition process of Odia characters are dealt in details. The well known techniques employed for segmentation, feature extraction and classification tasks of Odia characters are reviewed and their relative strengths and weaknesses are outlined. The paper also discusses the current trends and future research scope in the area of Odia character recognition. It is expected that this paper will be useful to those who will be interested to work in the fields of recognition of Odia characters .