Miracle-dz/UniFAR-FTUs huggingface dataset:
DOCKING ANALYSIS AND SYNTHESIS SOME NEW 1-(4-ETHYL- PHENYL)-2-(5,5-DISUBSTITUTED-4-HYDRO-[1,3,4]OXADIAZOLE-2- YL)-ETHANONE AS IMPENDING ANTI-DIABETIC AGENTS

A new series of 2-[5-substituted phenyl-5-alkyl-4-hydro-[1,3,4] Oxadiazole-2-yl]-1-(4-ethyl-phenyl)-ethanone derivatives were synthesize by the esterification reaction of 4-(4-Ethyl-phenyl)-4-oxobutyric acid with H2SO4 and ethanol. Followed by hydrazine hydrate to give substituted hydrazides and then hydrazone with substituted ketons, which were cyclise with chloramines-T to give the 2-[5substituted phenyl-5-alkyl-4-hydro-[1,3,4]-Oxadiazole-2-yl]-1-(4ethyl-phenyl)-ethanone derivatives. All these compounds were evaluated for in-silico anti-diabetic activity (docking on Glycogen Phosphorylase B protein) and also screened in-vivo anti-diabetic activity by alloxan induce diabeties mellitus model. All compounds were characterized by FT-IR, 13 CNMR, 1 HNMR and elemental analysis (CHNO). The titled compound exhibited good binding property with molecular target. Some of the compounds have shown good anti-diabetic activity and few have shown moderate anti-diabetic activity as compared to the standard drug.
Effect of RPGM and Gauss Markov Node Mobility for Resource Allocation Performance in Mobile Ad Hoc Computational Grid

Summary Mobile ad hoc computational grid enables resource sharing between mobile nodes in an ad hoc networks for completing specific tasks. To maximize utilization of sharing resources in such grid, an effective resource allocation algorithm that is suitable with the environment, plays a key role. In this paper, we investigate the performance of resource allocation scheme EERA that has been designed for mobile ad hoc computational grid in RPGM and Gauss-Markov node mobility model. We perform the simulation in NS2. The result shows that accumulative application completion times for the scheme using Gauss-Markov mobility nodes is 45% up to 350% greater than using RPGM model. Increasing the maximum node's speed will increase the accumulative application completion times. Meanwhile the average end-to-end delay and the number of drop packet for Gauss-Markov is lower compare to RPGM in maximum speed of 5m/s.
Privacy Preserving using Homomorphic Encryption

— In the recent time, privacy preserving has been studied extensively, because of the extensive explosion of sensitive information. Privacy preserving is one of the important areas that aim to provide security for secret information from unsolicited or unsanctioned disclosure. This has triggered the development of much privacy preserving technique using encryption algorithm. This work will present the privacy using asymmetric encryption. The field of privacy has seen rapid advance in recent years due to increase in the ability to store data. In asymmetric encryption, RSA and ECC encryption algorithms are used to encrypt the data. In this, the data stored in the database will be encrypted. The data can be encrypted by using the security keys. The RSA and ECC are used to import the data from the database which is connected to it and encrypt the data by using the keys. A window will be presented on which the output in encrypted form will be shown and the difference between the outputs of the algorithms is also presented. Our proposed protocol makes use of Homomorphic encryption technique to secure the information.
An Efficient Model to Identify A Vehicle by Recognizing the Alphanumeric Characters in an Engine Image and in Chassis Image

Automatic Engine Number Recognition (AENR) is the digital image processing and an important aspect/role to identify the theft vehicles by recognizing characters, digits and special symbols. There is increase in the theft of vehicles, so to identify these theft vehicles, the proposed system is introduced. The proposed system controls the theft vehicles by recognizing a digits and characters in the number plate and chassis region and stores in the database in ASCII format to check the theft vehicles are registered or unregistered. Both system consists of 4 common phases: - Preprocessing, Character Extraction (ROI), Character Segmentation
Performance Analysis of Energy Detection Technique for Cognitive Radio Over Different Fading Channels

: The rapid growth in wireless communication systems has made the problem of under utilization of spectrum. To solve this problem the concept of cognitive radio (CR) emerged, the main goal of which is to provide adaptability to wireless transmission through dynamic spectrum access (DSA) so that the utilization of the frequency spectrum can be enhanced without losing the beneﬁts associated with spectrum allocation. To sense existence of licensed user, Energy Detection based spectrum sensing technique is used over different wireless fading channels. In the energy detection approach, the radio-frequency (RF) energy in the channel or the received signal strength indicator is measured to determine whether the channel is idle or not. This paper gives the primitive study and performance analysis of energy detection based spectrum sensing technique. Performance is done under three different fading channels i.e. Rayleigh, Nakagami and Rician. Probability of detection and Probability of missed detection vs. probability of false alarm for all different channels has been calculated and also simulation comparison among different wireless fading channels is presented.
The Amounts of Bursary Allocation: Focus on Kenyan Secondary Schools Internal Efficiency

Secondary school education is very critical in any education system because of the crucial role it plays in catalyzing national development. Consequently, maintaining a high student enrolment at this level should be a priority for all countries. The Constituency Bursary Fund (CBF) was established by the government of Kenya through an Act of Parliament in 2003. The study was guided by classical liberal theory of equality of opportunities. The study was designed to determine equity implications in bursary awards on the internal efficiency of secondary schools. The objective of the study was to establish the relationship between the amounts of bursary allocated and the internal efficiency in secondary schools; to investigate the relationship between bursary allocation and the internal efficiency in secondary schools. This study employed a mixed methods design. Data was collected through questionnaire and interview schedule. Qualitative data were analyzed through themes, while quantitative data were analyzed using descriptive statistics and inferential statistics. The study established that there was a positive and significant relationship between amount of bursary allocated and school fees balance of the recipients in bursary allocation to students which indicates that with a unit increase in bursary contribution there is an increase in school fees charged in secondary schools. The findings of the study will provide useful information to educational stakeholders in the management of secondary schools that will be useful in improving the management of secondary schools. Key Terms: Bursary, Allocation, Secondary Schools, Focus,
A Review for Green Supply Chain Management

Global warming is an issue to be addressed immediately, irrelevance of nationality, economic status it is the time to be together to act quickly to save our earth for future generation. Not only the government agencies and NGOs, the corporate citizens also have significant responsibility to be with the initiatives. Researches in the sustainable business are significantly important to motivating and educate the corporate citizens to participate in the initiatives. Intension of this paper is to review existing research in this area and trying to explore what motivates the corporate to adopt GSCM, measures taken by the companies to control carbon footprint and what the companies are adopting to achieve their benchmark? The outcome of the paper is the research about the Indian corporate are very less and many research were done in China and USA. The companies are achieving benefit through adopting such initiative. Customers, environmental regulations, reputation, innovation and efficiency are the drivers of green initiatives. Keywords— Global warming, Green Supply Chain Management, Global warming and corporate responsibility, Green strategies and initiatives
Mapping Horticultural Crops in Dabwali , Rania and Ellenabad Blocks of Sirsa District , Haryana , India

Haryana state has a rich diversity of horticultural crops due to the presence of diverse agro-climatic zones ranging from sub-tropical and semi-arid to sub-humid. The present paper describes the methodology and results of block level acreage estimation of horticultural crops using high resolution and medium resolution satellite data. Different analysis approaches such as onscreen visual interpretation using high resolution World View-II data and hybrid classification approach using medium resolution IRS LISS-III data were explored. The total horticultural fruit crops area in the study blocks obtained by onscreen visual interpretation approach and hybrid approach is found to be 3236.34 hectares and 2848.37 hectares respectively. The horticultural fruit crops area obtained by onscreen visual interpretation approach are categorized into young and mature horticultural crops also.The remote sensing based area estimates of horticultural fruit crops were compared with Dept. of Horticulture (DOH), Haryana estimates by computing per cent Relative Deviation (%RD). Remote sensing based area derived using onscreen visual interpretation of high resolution World View-II data was found to be quite close to DOH estimates with RD ranging between -1.1 per cent for Ellenabad block to -9.4 per cent for Dabwali block. Large differences were observed in remote sensing based area estimates derived applying hybrid classification approach using medium resolution IRS LISS-III data and relative deviation varied between -17.7 per cent for Dabwali block to -23.4 per cent for Ellenabad block as compared to DOH estimates.
COMPARISON OF RESULTS – SENTIMENT ANALYSIS ON MOVIE REVIEWS FROM TWITTER USING DIFFERENT CLASSIFIERS

: Several classification and machine learning algorithms are available today. Sentiment analysis which deals with identifying and classifying of opinions expressed in text source uses such algorithms to do so. These classifiers show a wide range of accuracies depending on the quality of pre-processing of dataset. Micro blogging today has become a very popular communication platform to express one’s views and thoughts on a particular subject. In this paper we take our dataset from Twitter, one of the most popular micro blogging platform. The problem with datasets from such sources is that it contains a lot of misspelled words, slang words and twitter specific tags which decreases the accuracy of classifiers to a great extent. For this reason we introduce a new feature vector and use it to train and test some of the most commonly used text classifiers and analyze the results. It is observed that the overall accuracy increases and also the consistency.
Categorization of the Documents using K-Means & Mapreduce

: Clustering is nothing but grouping similar items together. Clustering documents can be very useful for Information retrieval, News papers publishing house, Government agencies etc. K-means is simple to implement, widely used clustering algorithm used for clustering. But to process large documents using one machine is good solution. So Apache Hadoop which supports Mapreduce framework can be a good solution. Hadoop uses distributed computing and distributes task to multiple nodes (map stage) and then combine all outputs together (reduce stage) to generate final output. All these tasks executed parallely. So performance can be increased. Checking cluster quality is also equally important. For that Davies Bouldin Index is used.
A Survey on Document Image Binarization for Enhancing Degraded Document Image

: Document image binarization is a prominent research area in computer science. Image binarization is a process of converting a gray scale image to binary image. Segmentation is a very challenging task to segregate a text from background images. Thresholding is the best way to use binarization of degraded document images. Thresholding is divide into two parts: local and global thresholding. The local thresholding divide the image into sub-images and then convert the binary image depending the threshold value. The global thresholding enumerate a single threshold for whole image. Thresholding is very fast calculating the accurate value to perform image segmentation. Thresholding is a pre-processing for the degraded image to enhance their quality. The main goal of this paper is to study and to evaluate the different image binarization techniques. In some method they propose the adaptive image contrast method it is the combination of local image contrast and local image gradient. Both the method are used to recover the image.
Theoretical Perspectives to Sexual Harassment of Women at Workplace

The issue of sexual harassment at workplace is a recurring problem around the globe. The influx of large numbers of women into the paid labor force over the last twenty years and their increasing involvement in workers’ organizations and women’s advocacy groups have heightened awareness of the extent and destructive consequences of sexual harassment.Today, sexual harassment of women at workplace constitutes an extremely important kind of violence, which has been comprehensively defined for legal purposes.Since it is a recently defined offence, there is a need to identify appropriate theoretical frameworks to highlight the causes and precipitating factors for the existence of this problem. Thus, the theme of the present research paper is to examine different theoretical perspectives to sexual harassment of women at workplace. The research paper examines five existing theories of sexual harassment, namely; Natural/Biological Theory, Sex Role Spillover Theory, Organizational Theory, Socio-Cultural Theory and Feminist Theory, to explain the phenomenon from different angles and perspectives. The introductory part of the paper throws light on the increasing problem of sexual harassment of women at workplace. Second part of the paper will discuss the five types of theoretical perspectives to understand sexual harassment of women at workplace. Finally the last section will focus on conclusion part of the paper.
A quantitative comparison of intranasal and intratracheal administration of coarse PM in the mouse

Acute lung inflammation induced by exposure to coarse particulate matter (PM) was evaluated by assay of inflammatory cells in whole lung lavage from mice administered the same nominal dose of PM by either the intratracheal (IT) or intranasal (IN) route. Based on higher total cells recovered and shifts to a higher recovery of neutrophils in the lavage fluid, the IT route was at least three times more effective in delivery of PM10-2.5 to the lung than the IN route. These differences in the route of particle administration are likely to reflect the filtering efficiency of the nasal cavity to block deep lung penetration of larger particles to the lower respiratory tract. The results are compared with the predictions from models of the deposition of dry PM of comparable size after inhalation and with previously reported comparisons of IT and IN delivery of solutions or suspensions containing soluble drugs or insoluble particles. In addition, the variance in the observed data was substantially lower in mice administered PM by the IT route as compared to IN aspiration. We would suggest that especially in situations where the amount of PM is limited, the IT route has several advantages over IN administration. Correspondence to: Jerold A. Last, Department of Pulmonary and Critical Care Medicine, CCRBM, 6519 GBSF, 451 Health Sciences Drive, University of California, Davis, CA 95616, USA, Tel: 1530752-6230; Fax: 1530752-8632, E-mail: jalast@ucdavis.edu
IMPACT OF WORKING CAPITAL ON THE PROFITABILITY OF THE NIGERIAN CEMENT INDUSTRY

This study empirically examined the impact of working capital management (Measured by: the number of days accounts receivable are outstanding-DAR, the number of days inventory are held-DINV, and the cash conversion cycle-CCC), on profitability (measured by return on assets-ROA) of Nigerian Cement Industry for a period of eight (8) years (20022009). Data from a sample of four (4) out of the five (5) cement companies quoted on the Nigerian Stock Exchange (NSE) were analysed using descriptive statistics and multiple regression analysis. The study found an insignificant negative relationship between the profitability (measured by ROA) of cement companies quoted on the NSE and the number of days accounts receivable are outstanding (DAR). The study also found a significant negative relationship between the profitability of these cement companies and the number of days inventory are held (DINV). The study finally revealed a significant positive relationship between the profitability and the cash conversion cycle (CCC). The study concludes that, the profitability of cement companies quoted on the NSE during the study period is influenced by DINV and CCC. The study therefore recommends that managers of these cement companies should manage their working capital in more efficient ways by reducing the number of days inventory are held to an optimal level in order to enhance their profitability as well as create value for their shareholders. Managers of Nigerian cement companies should also improve on their cash flows, through the reduction of their cash conversion cycle.
A Study on Finite Field Multiplication over GF (2m) and its application on Elliptic Curve Cryptography

: The paper presents an extensive and careful study of finite field multiplication over GF (2 m ) using polynomial basis as well as special polynomial like trinomials, pentanomial and All one polynomial (AOP). This multiplication is done by using montgomery multiplication scheme and application of it is also given. This paper focuses on different arithmetical operation on elliptic curve cryptography over GF (2 m ). The parameter performance is also discussed in term of number of component, latency, space and time complexity .
Design and Implementation of Inexact Compressors by using Multiplication

A feature model for the processing of digital is the estimated calculating at Nano metric scales. Accurate calculating is especially simulating for arithmetic designing of computer. This suggested project is contracts with the research and implementation of two new estimated 4-2 compressors for implementation in a multiplier. These implementations are depends on other characteristics of compression. Hence that inaccuracy in calculation as restrained by the rate of error and that called distance of normalized error can come across to figures of merits of implementation amount of transistors, delay and power consumption. Four various patterns for using the suggested estimated and evaluated for a Dadda multiplier wide ranging simulated outputs are given and the use of estimated multipliers to processing of image is given. The output displays that the given implementation achieved specified falls in the consuming of power, delay and count of transistors correlated to a specified implementation; in addition, two of the suggested multipliers implementation gives good abilities for multiplication of image to average NED and peak SNR (>50db) for the measured image examples
Deep Learning Technique

Deep learning is an emerging research area in machine learning and pattern recognition field. Deep learning refers to machine learning techniques that use supervised or unsupervised strategies to automatically learn hierarchical representations in deep architectures for classification. The objective is to discover more abstract features in the higher levels of the representation, by using neural networks which easily separates the various explanatory factors in the data. In the recent years it has attracted much attention due to its state-of-the-art performance in diverse areas like object perception, speech recognition, computer vision, collaborative filtering and natural language processing. As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. This paper presents a brief overview of deep learning, techniques, current research efforts and the challenges involved in it.
Forecasting of a Chaotic Time Series with Artificial Intelligence Techniques

-The procedure and main result of a comparative study based on the use of two computational intelligence tools applied to a forecast task of a chaotic time series is presented in this article. The time series forecast methods being compared are: ANFIS algorithm (Adaptive Network-based Fuzzy Inference System) and an evolutionary genetic algorithm. The results of the study are then displayed and analyzed under the criterion of the sum of squared error and required processing time.
EVALUATION OF SPECIFIC BIOCHEMICAL VALUES IN CLINICALLY NORMAL AND ANEMIC AWASSI SHEEP

The study was conducted on 200 healthy and 66 affected with iron deficiency anemia (IDA) Awassi sheep to determine serum iron, total iron binding capacity (TIBC), unbound iron binding capacity (UIBC), transferrin saturation (TS%) and copper concentration. The 200 normal sheep (80 males; 40 ram lambs and 40 rams and 120 females; 40 ewe lambs, 40 pregnant and 40 lactating ewes), while 66 diagnosed iron deficient anemic sheep (19 males and 47 females), both aged 7 months-4 years old in Baghdad governorate. The samples were collected from October 2011 to January 2012, and the tests were done in the Clinical Pathology Laboratory in College of Veterinary Medicine-Baghdad University Iraq. The result showed that the range and mean + standard error(SE) of serum iron, TIBC, UIBC, TS%, and copper in clinically normal and anemic Awassi sheep were as follows ; serum iron 17.1-46.8 μmol/L and 27.2+0.40 μmol/L, 3.5-17.1 μmol/L and11.4+0.45 μmol/L,serum TIBC35-78.1 μmol/L and 52.9+0.68 μmol/L, 63.4-112.5 μmol/L and 80.5 +1.40 μmol/L, UIBC 4.1-56. 1μmol/L and 25.7+0.77 μmol/L, 47.7-105.3 μmol/L and 69.1+1.51 μmol/L,TS% 28.1-90.6 and 52.9+0.99, 5.1-25.1and 14.4+0.66 and serum copper 7-33.8 μmol/L and16.5+0.37 μmol/L, 3.3-21.1 μmol/L and 11.5+0.48 μmol/L respectively. However, significant difference’s (P<0.05) were recorded in serum iron, UIBC, TS% and copper in subgroups of normal Awassi sheep, as well as a significant difference was found between males and females in serum copper (P< 0.05). On other hand results revealed significant difference (P< 0.05) between normal and anemic values. In conclusion, present data recoded normal range reference and mean + SE of studded biochemical in Iraqi Awassi sheep, significant differences recorded between clinically normal and anemic animals, as well as between normal groups.
School scoliosis screening in Hong Kong: trunk asymmetry of girls with scoliosis

Adolescent Idiopathic scoliosis (AIS) is a spinal condition with curvature equal or greater than 10 degrees which is commonly onset during puberty with undefined etiology. The prevalence rate of AIS was 0.38-7.45% and the girls-to-boys ratio was 2.7-5.14. 1–3 Scoliosis would cause the trunk asymmetry, induce spinal spin, restrict body movement or even deteriorate the cardiac and pulmonary functions.4 Nevertheless, early detection and subsequent treatment such as bracing, physical therapy, surface electrical stimulation, and chiropractic could prevent the curve progression and preclude the need of surgery.2