Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy and Band width aware Multipath Routing protocol

: Mobile ad hoc networks (MANET) is a type of ad hoc network that can change locations and configure itself . MANETs is an infrastructure-less, dynamic network consisting of a collection of wireless mobile nodes that communicate with each other without the use of any centralized authority. Due to its fundamental characteristics, such as wireless medium, dynamic topology, distributed cooperation, MANETs is vulnerable to various kinds of security attacks like worm hole, black hole, rushing attack etc. In recent years, routing has been the most focused area in ad hoc networks research. On-demand routing in particular, is widely developed in bandwidth constrained mobile wireless ad hoc networks because of its effectiveness and efficiency. In this paper, we propose a new energy and band width aware routing protocol for wireless Ad Hoc networks. The goal of our proposed routing protocol is not to find more stable paths from a source to a destination node in terms of remaining life time of battery, but it also find multi-paths that satisfy Quality of Service (QoS) requirements.
Evaluation of Seismic Performance of Weir Structures in Korea

Abstract—This study was conducted to evaluate the seismic performance of weir structures using two different approaches: i) design response spectrum with respect to KBC 2009 in Korea and ii) acceleration of time history (PGA, 0.3011 g) obtained from 1994 Northridge earthquake. This paper provided the simple linear elastic 2D plane strain FE model with the material nonlinearity including soil-foundationstructure based on Gangjeong-Goryeong hydraulic system, located in Daegu Metropolitan City in Southeastern part of Korea. In order to consider the sliding effect between the weir structures and soil structures, linear and nonlinear time history analysis was carried out. Consequently, the maximum principal stress and maximum displacement of the weir body fairly reduced in linear time history analysis when comparing design spectrum method with linear time history analysis. The minimum principal stress significantly increased in linear time history analysis, rather than design spectrum analysis. In addition, based on the sliding effect results, the principal stresses and maximum displacement was notably increased due to the material nonlinearity. It was interesting to find that the weir system subjected to seismic ground motions was sensitive to friction element conditions. Keyword-Weir, Earthquake, Friction, Spectrum, Hydrodynamic
A Pattern Recognition Based Approach for Prediction of Protein Drug Interactions Using Neural Networks

: The prediction of protein-drug interaction is a key area in drug discovery and it is considered to be a complex task. Drug discovery is a crucial task therefore there is a deep motivation towards developing new methods for identifying protein-drug interaction efficiently. The study aimed is to predict that how strong binding orientation exists between protein-drug interactions, and these interaction results further used for drug discovery. The research was carried out from various datasets of protein-drug interaction gathered from different databases and all these datasets are considered as an unstructured data. This research is focuses on drug-target interaction networks in human beings involving protein families such as, Enzymes, Ion channels, G-protein-coupled receptors (GPCRs) Nuclear Receptors, Alpha and Beta. The comprehensive pattern recognition technique is used for predicting new protein-drug interactions. Implementation is done using neural network pattern recognition tool. Neural Network is considered to be a most efficient method for the datasets related to bioinformatics and neuron sciences. The satisfactory result of our research is 93%. The success of our approach is evident from the result. The study recommended that the proposed technique should be implemented in health department for efficient drug discovery results.
New-fangled approach in the management of Alzheimer by Formulation of Polysorbate 80 Coated Chitosan Nanoparticles of Rivastigmine for brain delivery and their in vivo evaluation

Nanotechnology mediated drug delivery has been reported to enhance the drug efficacy, bioavailability, reduce toxicity and improve patient compliance by targeting the cells and tissues to produce desired pharmacological action. Aim: The purpose of the present study was to formulate and evaluate Polysorbate 80 Coated Chitosan Nanoparticles of Rivastigmine for brain delivery. Methods: Rivastigmine is short acting cholinesterase inhibitors (ChEI). Nanostructure mediated drug delivery enhances drug bioavailability, improves the timed release of drug molecules, and enables precision drug targeting. Because of its cationic charges, biocompatibility, and low toxicity, chitosan has been used as a vehicle system for genes, protein and drugs. The Nanoparticles were evaluated for size, shape, zeta potential, microscopy, transmission electron microscopy. Drug-polymer compatibility was determined using differential scanning calorimetry. The amount of drug entrapped within the Nanoparticles was determined spectrofluorometrically and in vitro drug release studies were done by spectrofluorometer. Test was used to evaluate in vivo activity of Rivastigmine Nanoparticles in mice. The drug-loading capacity obtained from the drug content analyses for the batches ranged from 43.48±3.5 to 52.62±4.31 depending upon the drug-to-polymer ratio. The drug loading of chitosan Nanoparticles (drug-to-polymer ratio 1:1) after coating with 1% Polysorbate 80 was 43.48±1.3. The particle size analysis showed that the mean particle size of drug-loaded Nanoparticles (drug-to-polymer ratio 1:1) was 45.16±1.56 nm.
Bio-Impedance Measurement System for Analysis of Skin Diseases

Volume 3, Issue 2, February 2014 Page 92 Abstract Electrical bio-impedance can be used to assess skin cancers and other cutaneous lesions. Bio-impedance measurement technique is one of the noninvasive techniques for analysis of skin diseases. This paper presents a portable bio-impedance measurement system using impedance converter AD5933. This system is useful in the analysis of skin cancer using bio-impedance technique.
A Complete Mispronunciation Detection System for Arabic Phonemes using SVM

Summary Computer Assisted Language Learning Systems have gained a lot of attention in recent decades. Mispronunciation detection is probably the most important feature of these systems. It helps user to find out their pronunciation mistakes and provide useful feedback related to that mistake. Mispronunciation detection systems can be categorized in two classes; Posterior Probability based and Classifier based systems. In this paper pronunciation assessment problem is formulated as a classification problem. This research paper explores the Acoustic Phonetic Features (APF) rather than traditional Confidence Measure based scores for mispronunciation detection. Support Vector Machines (SVM) is used as a classifier to detect pronunciation mistakes. As a test case five Arabic phoneme are tested for mispronunciation detection. APF based classifier produced excellent results and give average accuracy of 97.5%. The proposed system outperforms the existing systems that have been developed for Arabic phonemes.
ROLE OF NANOMATERIALS IN THE DEVELOPMENT OF BIOSENSORS

As nanotechnology is growing at a very high pace there is a need to reconstruct our concept regarding the tools (biosensors, chemical sensors) being used and envisage the possibilities to ensure their compatibility to meet the current challenges arising in the present scenario. Various materials used in the development of biosensors and the techniques involved have been rescreened based on interdisciplinary approach. Mostly, laboratory analysis by conventional modes of assays is becoming expensive and time consuming day by day. This is leading to the ever growing need for real-time, low cost technology which can be employed in industry, monitoring environmental and clinical and food processing. The concept of biosensors, transducers and receptors has been considered in order to find and fill the lacunae to be enriched with appropriate improved and modified versions to meet the challenges. The role of nanomaterials like metal, metal oxide, nanowires, nanocomposites, quantum dots, dendrimers and others has been discussed. The various receptors biological and chemical, both related to the sensors have been considered because biosensing is basically dependent on the molecular recognition; this is apparently a prerequisite of transducer to attain efficient workability. Receptors are the biological molecules which have the ability to receive and deliver a specific molecular, functional and detectable message.
Analysis of Electricity Transmission Congestion Management in India With Reference to IEX

To solve congestion problem and to maintain the system within security limit is a challenge for the independent system operator (ISO). Due to the behavior of players looking for the cheapest electricity, no matter where it is located, large and difficult to predict unscheduled power flows often appear in the interconnected network. Consequently, it comes as no surprise that international interconnections very often become congested, meaning that the transmission system cannot be operated securely under the requested pattern of generation and demand. Congestion can be mitigated by rescheduling the generators, and simultaneously curtailing the electrical load. The various Capacity Allocation methods for congestion management, such as Pro-Rata rationing, Priority Based Rules, Transfer Capacity Based Auctioning (Explicit Auction, Implicit Auction), Market Splitting and Market Coupling are used. The increased number of hours in which market splitting was observed since the inception of the power exchanges in 2008, clearly indicates the need for investment in the transmission infrastructure. Market Splitting is a better method for congestion management. In India the total volume of electricity that could not be cleared due to congestion was 3143 MU which accounted for about 10% of Unconstrained cleared volume of both the power exchanges. A declining trend in congestion has been observed after the integration of grid.
Systems and Computational Biology Journal

In the era of post genomics, performing a computational analysis to understand the pharmacogenomic based regulation of Psoriasis with respect to the principles of data mining and constructing a regulatory network with respect to the principles of systems biology and analyzing the network with respect to the principles of test statistic remains a challenging task to execute. The challenge was approached by identifying the associated genes of Psoriasis from PharmGkb and it was followed by identifying the associated regulators (MicroRNAs and Transcription Factors) from PharmacomiR/RegNetworks. Finally the regulatory networks were analyzed by the statistical measures.
GAS CHROMATOGRAPHIC- STATIC HEAD SPACE SAMPLER-FID METHOD DEVELOPMENT AND VALIDATION FOR THE DETERMINATION OF RESIDUAL SOLVENT TERTIARY BUTYL ACETATE (TBA) IN BORTEZOMIB

This paper describes the Gas Chromatographic Head space sampler method development and validation for quantification of TBA in Bortezomib Injection 3.5 mg in the presence of Mannitol excipient. Proposed method is proven to be sensitive, simple and accurate for quantification of residual solvent even in the presence of excipient. There was no interference of blank with Bortezomib and Mannitol at the retention time of the TBA Solvent (13.36 minutes). LOD, LOQ Concentrations with respect to sample was found to be 2.40ppm, 7.93ppm respectively. Linearity of the method demonstrated from 7.93ppm to137.3 ppm. Correlation co efficient value was found to be 0.992. System Precision and method precision was found to be well within regulated ICH limits.
International Journal of Advance Research in Computer Science and Management Studies

In order to assist the user for the correct image retrieval from large corpus, distinct techniques were used to improve the performance, quality and accuracy of an image. We present the overview from BoW model to multiple query images to give enhanced results. It addresses prominent issues of the past times and existing. The foundation of an image retrieval initiated with the process of retrieving keywords. The user enters the query object which is nothing but a query image and then the system returns a list of images.
National Health Insurance Scheme Dispensing Outreach and Maintenance of Health Status In Oyo State

This study examined the dispensing outreach programme of the National Health Insurance Scheme (NHIS) and its influence on the health status of users. It specifically examined the influence of the organizational structure of NHIS on the referral process in the utilization of health care services by clients, documented the satisfaction client’ derived from NHIS service. It adopted a descriptive survey design through the use of qualitative and quantitative methods of data collection with four hundred and thirty-five enrollees. Sixteen In-depth interview was conducted with representatives of Health care International at Ibadan office. Data was analysed using the descriptive approach (method while qualitative data from the key informant interviews was content analyzed. Approximately 80% of the respondents preferred the NHIS services because it reduces the out-of-pocket expenses borne by the service users. Motivation for use of NHIS services stemmed from perceived services quality, drug availability, sophisticated pharmacy and the laboratory equipment. In terms of service expectation 57.1% of the respondents had their desires met as NHIS bore the bulk of health care cost, subsidized drugs and laboratory fees. Sixty percent of the studied population were thus satisfied with NHIS services though a reasonable proportion of 40% were dissatisfied with the way and manner their challenges were handled. Also, dissatisfying issues were associated with the delay in processing authorization code by Health Management Organization (HMO) when respondents were referred to secondary or tertiary health facility. The study recommended among others that government should improve on existing measures such as effective monitoring of the scheme implementation, facilitate the processing of authorization codes, ensure equity in access of all enrollees and the enforcement of adequate medical personnel and equipment for effective service delivery. Keyword, enrolles, health care, health status, health insurance, satisfaction
Analysis of Machine Learning Adaboost Based Classifier

:Specifically, we present an ideal determination of frail classifiers limiting the cost capacity and infer the fortified expectations dependent on a legal certainty gauge to decide the characterization results. The powerless classifier of the proposed technique creates genuine esteemed forecasts while that of the traditional Adaboost strategy produces number esteemed expectations of +1 or −1. Thus, in the traditional learning calculations, the whole example loads are refreshed by a similar rate. Actually, the proposed learning calculation permits the example loads to be refreshed exclusively relying upon the certainty dimension of each feeble classifier forecast, along these lines diminishing the quantity of frail classifier cycles for intermingling. Test arrangement execution on human face and tag pictures affirm that the proposed strategy requires more modest number of frail classifiers than the customary learning calculation, bringing about higher learning and quicker characterization rates.
A Survey on Novel Approach for Biomedical Named Entity Recognition Using Db-Scan

: The Frequent weighted item sets represent correlations oft holding in information during which things might weight otherwise. Once the necessity is to attenuate a precise price perform, discovering rare information correlations is a lot of attention-grabbing than mining frequent ones. drawback} of discovering rare weighted item sets is that the sporadic weighted item set mining problem.This can support multiple product count and supply multiple, continuous, rapid, time-varying, ordered streams. It supports effective main memory computations. This may offer queries area unit usually continuous high in evaluated unendingly as stream information arrives. Update over the time of process. It handles the element-at-a-time process and stream-at-a-time process. It provides the multi-level/ multi-dimensional process and data processing. The novel quality measures area unit projected to drive the sporadic weighted item set mining method. {The information|the info|the information} models that area unit abstracted from several real-life applications involving unsure sequence data area unit well-mined. The potency and effectiveness area unit verified through intensive experiments on the $64000 datasets.
POWER QUALITY IMPROVEMENT USING DVR (DYNAMIC VOLTAGE RESTORER) UNDER VARIOUS FAULT CONDITIONS

1P.G Student, Department of Electrical Engineering, MMMUT, Gorakhpur, Uttar Pradesh, India 2Associate Professor, Department of Electrical Engineering, MMMUT, Gorakhpur, Uttar Pradesh, India -----------------------------------------------------------------------***-------------------------------------------------------------------Abstract Power quality improvement has become a very serious concern in present days due to increase in modern sensitive and sophisticated loads connected to the Distribution System. Because non-standard voltage, current or frequency causes a failure of the loads connected to the system. Power electronics and advanced control technologies have made it possible to improve the quality of power and operate the sensitive loads satisfactorily. One of the major problems dealt in this paper is the voltage quality which is very severe for the industrial customers as it can cause mal-functioning of several sensitive electronic equipment. Dynamic Voltage Restorer (DVR) is a solution to improve voltage quality, which is connected in series with the network. This paper presents modeling, analysis, and simulation of DVR in MATLAB/SIMULINK, which includes PI controller and discrete PWM generator for control purpose of DVR. Simulation results of performance of DVR under different fault conditions such as single line to ground fault, double line to ground fault, double line fault, three phase fault etc. are presented in this paper. The results exhibit clearly the performance of the DVR in voltage quality improvement.
Density-Based Spatial Clustering – A Survey

— Spatial data mining is the task of discovering knowledge from spatial data. Density-Based Spatial Clustering occupies an important position in spatial data mining task. This paper presents a detailed survey of density-based spatial clustering of data. The various algorithms are described based on DBSCAN comparing them on the basis of various attributes and different pitfalls. The advantages and disadvantages of each algorithm is discussed.
ENHANCEMENT IN LICENSE NUMBER PLATE SYSTEM USING K-NEIGHBOR NEAREST ALGORTHM

— Image processing system treat images as two dimensional signals and set of signals processing methods are applied to them. LPR is also one of the applications of image processing. Till now, all the LPR systems have been developed using neural networks. In this paper we proposed to implement the system using Gabor filter, OCR and Vision Assistant to make the system faster and more efficient. To recognize number plate first of all add templates from A-z and 0-9 and add them into mat file. After that read the image and convert that image into grey scale. Now the next step is to find out threshold value of the image. After finding T-value convert that image into binary. In this work, we also use median filter & Gabor filter in which we made cell in which different-different subplot based on pixel value.
Design of Fast Floating Point Multiply Accumulate Unit using Ancient Mathematics for DSP Applications

Digital Signal processing became an application to create high speed data processing systems like 3D rendering, 4G mobile internet, etc., we need best processors with high performance data path units and there is a growing need for research on alternative methods for signal processing hardware implementation. In most systems using digital signal processing Multiply-Accumulate (MAC) is one of the main functions. The performance of the whole system depends on the performance of the MAC units in place. Regardless of that these days’ real time signal processing systems require high throughput and high performance MAC units. A MAC unit is simply one of the main units in all Digital Signal Processors which performs the multiplication of two numbers of any radix and accumulates the by-products in order. In this paper, a floating point multiply and accumulate unit is designed using ancient mathematics that reduces the number of partial products to be added as well as increases the speed of accumulation of partial products by reducing the number of stages of partial products that needs to be added thereby making it a high performance unit. The output of this unit is simulated using simulation software ModelSim SE plus 6.2C and the language used is VHDL.
Int. J. Biosci

Thirty multiparous Holstein cows (29.80 ± 4.01day in milk; 671.6 ± 31.47 kg of body weight) randomly designed to one of the control (no fat) or 4 diets with either raw soybean, extruded soybeans, roasted soybeans, or tallow, added to provide 1.93% supplemental fat for 8 weeks. Cows fed fat diets had significantly (P<0.01) high NEL intakes and FCM production (P<0.01) when compared to control with no fat. Milk fat yield and percentage of cows fed fat-supplemented diets were significantly (P<0.01 and P<0.02 respectively) higher than control. There was no significant effect of supplemental fat on the milk protein and lactose content and yield. Total saturated fatty acids percentage in milk fat was significantly (P = 0.01) decreased by fat supplementation. Full fat soybeans significantly (P<0.01) decreased concentration of shortto mediumchain (C6:0 to C16:0) saturated fatty acids compared with control, with an outstanding value for extruded soybean. A tendency for lower C6:0 and C16:0 and higher C18:0 contents in the milk of cows fed the supplemental fat was detected (P = 0.14, P = 0.16 and P = 0.11 respectively). Mono unsaturated fatty acid, total C18:1 and trans-11 C18:1 proportion was significantly (P<0.01) increased by supplemental fat. The concentration of milk fat cis-9 trans-11 C18:2 were also increased by all fat sources, but it was only significant for extruded soybeans. There were no significant differences between extruded and roasted soybeans oil in lactation performance and energy balance of dairy cows, as well as milk fatty acid profile however, cows fed roasted soybean had numerically greater FCM production and fat content and yield than cows fed extruded soybeans, and milk fat of cows fed extruded had numerically higher cis-9 trans-11 C18:2 content when compared milk fat of cows fed roasted soybeans (respectively P=0.19, P=0.054). *Corresponding Author: Bassiri Sh  sh_Bassiri@yahoo.com International Journal of Biosciences (IJB) ISSN: 2220-6655 (Print) 2222-5234 (Online) Vol. 2, No. 10(2), p. 11-18, 2012 http://www.innspub. net