Miracle-dz/UniFAR-FTUs huggingface dataset:
Fiscal Policy and Foreign Direct Investment Inflow in a Developing Economy: The Nigeria Experience

-This study analyzed the impact of fiscal approach on Foreign Direct Investment in Nigeria. The objectives of the study were to; examine the impact of government capital expenditure on foreign direct investment in Nigeria; examine the impact of corporate tax on foreign direct investment in Nigeria; and examine the impact of government debt on foreign direct investment in Nigeria. Based on the stated objectives; secondary data were collected from CBN statistical bulletin and empirical model was estimated using Augmented Dickey Fuller unit root test, co-integration test and complemented with ECM test. The results of the unit root test showed that all the variables were stationary at order one. Also there exist three co-integrating equations amongst the variables in the model. Similarly, the ECM results indicated that the speed of adjustment is 169.6%. Also, the R of 63% showed that the model is a good fit. The coefficient of government total debt variable is positively related to FDI. The coefficient of corporate tax is negatively related with Foreign Direct Investment and the coefficient of government capital expenditure is positively related with Foreign Direct Investment. Thus, it could be concluded that a well-articulated and coordinated fiscal policy to attract foreign investment in Nigeria became essential for optimum growth and development of the economy. Therefore, it is recommended that Nigeria government must create enabling environment for foreign investment to thrive. Also, government should increase her capital expenditure and ensure a well combination and coordination of both fiscal and other policies to increase foreign direct investment in Nigeria.
AN EMERGING DEVELOPMENT OF BIOMETRIC SYSTEM: A NOVEL APPROACH OF SECURITY

— Biometrics is a growing technology, which has been widely used in forensics, secured access and prison security. A biometric system is fundamentally a pattern recognition system that recognizes a person by determining the authentication by using his different biological features i.e. Fingerprint, retina-scan, iris scan, hand geometry, and face recognition are leading physiological biometrics and behavioral characteristic are Voice recognition, keystroke-scan, and signature-scan. In this paper different biometrics techniques such as Iris scan, retina scan and face recognition techniques are discussed .
DESIGN AND ANALYSIS OF SUB 1-V BANDGAP REFERENCE (BGR) VOLTAGE GENERATORS FOR PICOWATT LSI’s

A bandgap reference (BGR) and sub1V BGR circuits for Picowatt LSIs is proposed here. The circuits pertains pico-ampere current reference circuit, a bipolar transistor, and proportional-to-absolute-temperature (PTAT) voltage generators. The circuits neglect resistors and contain only MOSFETs and one bipolar transistor. As the sub-BGR circuit divides the output voltage of the bipolar transistor without resistors, it can operate at a sub1V supply. Experimental results obtained in the 90nm CMOS technology depicts that the BGR circuit could generate a reference voltage of 1.094 V and the sub-BGR circuit could generate one of 0.549 V. The power dissipations of the BGR and sub-BGR circuit corresponds to 8.466 PW and 3023 PW.
Protective Effect of Captopril against 5- Fluorouracil-Induced Hepato and Nephrotoxicity in Male Albino Rats

5-fluorouracil (5-FU) is a potent anticancer agent; its clinical use is limited for its marked hepatotoxicity and nephrotoxicity. The present study investigated the possible protective effect of captopril, an angiotensinconverting enzyme (ACE) inhibitor, on 5-FU-induced hepatotoxicity and nephrotoxicity in male albino rats. 5-FU 20mg/kg b.wt injected i.p. caused a significant increase in serum urea, creatinine, uric acid, corteisol, and glucose levels, respectively. Also, a marked elevation in potassium (K), bilirubin, α AFP, alanine aminotransferase (ALT), aspartat aminotransferase (AST) and malondialdehyde (MDA). 5-FU caused a significant decrease in Sodium (Na), magnesium (Mg), glutathione (GSH), protein and albumin. Captopril 20mg/kg b.wt. administered 1h before 5-FU ameliorated the biochemical toxicity induced by 5-FU, in the kidney and liver. This was evidenced by a significant reduction in serum urea, creatinine, uric acid, corteisol, glucose levels, K, bilirubin, α AFP,ALT and AST, respectively, and a significant restoration in Na, Mg, GSH, protein and albumin. These results indicate that captopril, an Angiotensin-converting enzyme ACE activity, has a protective effect against 5-FU-induced damage to kidney and liver. This reflects the beneficial role of captopril in treatment of renovascular hypertention and congestive liver failure. [Nora El-Hoseany M. Ali Protective Effect Of Captopril Against 5Fluorouracil-Induced Hepato And Nephrotoxicity In Male Albino Rats] Journal of American Science 2012; 8(2):680-685]. (ISSN: 1545-1003). http://www.americanscience. org. 95
Survey on Job Scheduling algorithms in Cloud Computing

: Cloud computing is a distributed computing model in which enables developers to automatically deploy applications during job allocation and storage distribution. Cloud computing intends to share a pool of virtualized computer resources and equipment's of computation, storage, information and knowledge for scientific researches over the Internet. Job scheduling (allocation hardware resources to the tasks) is one of the major and challenging issues in cloud computing. A good scheduling policy also helps in proper and efficient utilization of Virtual Machine’s (VMs). Job scheduling algorithm is an NP-complete problem which places an important role in cloud computing. This paper surveys the existing different type of job scheduling algorithms in cloud computing environment and summarizes some method to improve the performance.
459-462-Salehian Omid

The purpose of this study was to determine the effects of natural honey supplementation on levels of plasma cytokines during 10 weeks of treadmill training in endurance-trained athletes. Twenty male endurance-trained athletes (age 20 years, weight 75 kg) participated in this study. The participants were randomly assigned to exercise supplement (E+S, n=10), and exercise control (EC, n=10) groups. All subjects participated in 10 weeks of intensive treadmill training. Venous blood samples were collected immediately after exercise (T1), 1 hour after exercise (T2) and 24 hours after exercise (T3). In the EC group, 10 weeks of training increased the seminal, IL-6, Tumor necrosis factor alpha (TNFα) immediately after exercise (T1) , 1 h after exercise (T2), 24 hours after exercise (T3)(P<0.05). However, E+S group showed significant decrease in TNFα and IL-6 with a corresponding increase in IL1ra immediately after exercise (T1) , 1 h after exercise (T2) and 24 hours after exercise (T3) p<0.05. It is proposed that oral supplementation of honey decreases inflammatory cytokine such as IL-6 and TNFα with a corresponding increase in anti-inflammatory cytokine such as IL1ra.
BURDEN OF DISEASE AND THE UNDERUSE OF EFFECTIVE STRATEGIES

Coronary heart disease (CHD) is the leading cause of death worldwide. Despite the overwhelming evidence of the benefits of preventive care, many patients with CHD fail to receive and adhere to the guideline recommendations, inclufding lifestyle advice and evidence-based cardiovascular medication. Prevention programmes such as cardiac rehabilitation can improve adherence to these recommendations and therefore, reduce hospitalisation and mortality, and improve quality of life. However, such programmes are underutilised due to a number of barriers. These barriers can be overcome with the use of mobile technologies to deliver healthcare, called mHealth. In this review, we discuss the potential use of mHealth in a variety of medical conditions and we highlight some promising applications in CHD prevention. © 2015 ACT. All rights reserved.
Mob-AIDS: An Intrusion Detection System for the Android Mobile Enterprise

Researches in the development of efficient security models, policies and standards for the Android platform has increased significantly in recent times. Android suffers from the widespread security threats and malware due to the lack of efficient security tools for protection. However, recent studies on android mobile platform security stressed that Mobile Botnets, Global System for Mobile Communication (GSM)-based Pivot Attacks and Malicious Applications are the major security challenges of the mobile operating environment. In this paper, a robust and efficient Android Intrusion detection system middleware Application is developed to address the major security vulnerabilities infiltrating the android Mobile platform. The application is developed using the Java 2 Mobile Enterprise (J2ME) platform. The proposed Android Intrusion Detection System (Mob-AIDS) was evaluated based on users’ assessment to determine its efficiency in terms of graphical user interface, Mobile resource conservation, reliability and performance. Questionnaire and oral interview are tools used to gather relevant data to evaluate the performance of the system. Results of the analysis of the respondents’ data revealed that Mob-AIDS has sufficient capability to prevent unauthorized or anomalous access into the android Mobile enterprise and help realize a more secured and reliable operating environment.
An Approach for Preventing SQL Injection Attack on Web Application

— SQL injection attacks are one of the highest dangers for applications composed for the Web. These attacks are dispatched through uncommonly made client information on web applications that utilization low level string operations to build SQL queries.SQL injection weakness permits an assailant to stream summons straightforwardly to a web application's hidden database and annihilate usefulness or privacy. In this paper we proposed a simplified algorithm which works on the basis features of the SQL Injection attacks and will successfully detects almost all types of the SQL Injection attacks. In the paper we have also presented the experiment results in order to acknowledge the proficiency of our algorithm
An Effective Technique for IMine Indexing using FP-Bonsai Tree

A set of programs that allows to store, modify, and obtain information from a database. There are numerous types of data base management systems, which might be a very little system that run on personal computers to enormous systems that run on mainframes. With the huge increase in the amount of information, it is very difficult to manage these data. Hence there is a need for an effective indexing technique. The advantage of using index lies in the fact is that index makes search operation perform very fast. In this paper proposed the IMine index (a common and compressed structure which presents close integration of item set mining) by using FP-Bonsai Tree and I-Tree. Previous approach have used Prefix Hash Tree (PHT), but it exhibit reduced locality of reference, i.e., the data to be accessed is distributed apparently at random in memory. Also PHT cause access patterns to jump around, hence this causes long delays and there is a wasteful on memory, since many of array positions possibly will contain empty linked lists. These drawbacks are solved with the use of FP-Bonsai Tree.
A Mean Deviation Based Splitting Criterion for Classification Tree

— For the learning of Classification Tree, many researchers have used different splitting criteria, in which most commonly impurity-based criteria are: Gini index, Entropy function and Exponent-based index. By comparing Misclassification rates, none of the splitting criterion can be declared as providing best results in every situation. In this study, a new Mean Deviation based index has been proposed and a simulation study is designed, to explore which measure gives best result in what type of situation? From simulation study, it is concluded that generally new proposed M.D-based index and Exponent-based index give excellent results in case of imbalanced data. While, in case of balanced data, Gini index and Entropy function have less misclassification rates.
Modeling and Analysis of a Maximum Power Point Tracking Control for Double Stage Solar Photovoltaic Grid-Connected Systems

1PG Scholar, Dept. of Electrical and Electronics Engineering, TOCE, Karnataka, India. 2Associate Professor, Dept. of Electrical and Electronics Engineering, TOCE, Karnataka, India. 3Associate Professor, ECE, Shri Madhwa Institute of Technology, Karnataka, India. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract The control scheme for maximum power point tracking of a photovoltaic system, to supply power to the grid by means of Boost converter and an inverter, which is controlled by PWM(Pulse Width Modulation) is introduced in this paper. The mathematical model for the Boost converter is derived in detail, the inductor and capacitor values of the Boost converter are estimated for continuous conduction mode, so as to maintain the output voltage of the controller constant. To adjust the duty cycle of the boost converter and to increase the efficiency of the photovoltaic panel, Perturb and Observe Method(P&O), Incremental Conductance(IC) and Fuzzy Logic Control(FLC) techniques for the Maximum Power Point Tracking(MPPT) is introduced, modeled and compared using MATLAB/Simulink.
Leakage Current Reduction Techniques for CMOS Circuits

Most of the portable systems, such as cellular c ommunication devices, and laptop computers operate from a limited power supply. Devices like cell phones have long idle times and operate in standby mode when n ot in use. Consequently, the extension of batterybased opera tion time is a significant design goal which can be made possible by controlling the leakage current flowing through the CMOS gate. Leakage Current loss is a major conc ern in nanometer and deep submicron technologies. In this paper we use different techniques to reduce leakage power. Based on the surveyed techniques a designer is able to select appropriate leakage current reduction te chnique.
Review on the Reproductive Health Problem of Dairy Cattle

Reproductive disorders have been found to be a major reason for decreased reproductive efficiency in cattle and consequently reproductive efficiency is the major determinant of lifetime productivity of cows [1]. In the last few decades, as the major epidemic disease, were brought under control, emphasis have increasingly shifted to economically important diseases to the dairy producers and animal health problem stands out as the most prominent [2].
The possibility of using quantitative models to predict financial failure and its impact On Earnings Per Share: A study of a sample of companies listed in the Iraqi Stock Exchange

The study aims to use quantitative models to predict financial failure of the investment companies and to identify the Statistical relationship between financial ratios and EPS. The study used descriptive statistics factors , as well as regression model to analyze data and test the hypotheses. This model contains numeral of independent variables which represent profitably , leverage , liquidity, activity ratios . Based on (8) companies data for three years from (01/01/2010) to (31/12/2012) , the study founded some of Conclusions: There is ability of investment companies to continue , and there is Significant Statistical relationship for profitably ratio( return on investment) , activity ratio (assets turnover) with EPS , as well as positive relationship between independent variables and dependent variable .
Machine Learning Algorithms in Air Quality Index Prediction

-Urban air pollution is one of the biggest global problems at this moment. It has effect on human’s most significant element of life-oxygen. Air pollution increases risk of diseases and mortality through respiratory and cardiovascular impact, so understanding and predicting of Air Quality Index is significant public health challenge. In this paper we made comparison between three simple machine learning algorithms, neural network, k-nearest neighbor and decision tree. The results are promising and it was proven that these algorithms are very efficient in predicting Air Quality Index.
GREEN SYNTHESIS OF SILVER NANO PARTICLE USING SENNA ALATA

There is an increasing commercial demand for nanoparticles due to their wide applicability in various areas such as electronics, catalysis, chemistry, energy, and medicine. This work deals with the synthesis and characterization of silver nanoparticles using Senna alata. The synthesized nanoparticles were characterized by using UV–Vis absorption spectroscopy, FT-IR and SEM analysis. The reaction mixture turned to brownish gray colour after 5 hrs of incubation and exhibits an absorbance peak around 450 nm characteristic of Ag nanoparticles. Scanning Electron Microscopy (SEM) analysis showed silver nanoparticles was pure and polydispersed and the size were ranging from 10-40 nm. The approach of green synthesis seems to be cost efficient, eco-friendly and easy alternative to conventional methods of silver nanoparticles synthesis.
Watermarking in Ycbcr Channel using XILINX System Generator

This paper aims to present a technique of watermarking in YCbCr channel. The system is implemented using Xilinx System Generator. It presents the architecture for watermarking in different components (Y, Cb and Cr) in YCbCr channel. Water marking in different components is tested for various images and watermark is extracted. Original watermark and extracted watermark are analyzed and compared. The design is implemented targeting Virtex 5 (VC5VSX50t-1ff1136) device.
A Novel Approach for Face Detection in Complex Background Using Genetic Algorithm

— In this paper, a novel face detection system to detect faces in images. This system is caped with two steps. Initially pre-processing methods are applied on the input image and then our method consists of search procedures which find a face in the image using Genetic Algorithms. For this purpose, we have developed ellipse model to be used as a tool to calculate the fitness for each observation in the search procedure. Head model is approached by a simple ellipse model. The experiments show that our method can locate face an area in the complex background effectively.The proposed method is tested on a number of test images.
Privacy Preserving Classification over Semantically Secure Encrypted Relational Data in Cloud Environment

— The Cloud environment, with its extensive resources has become a good choice for organizations to keep their data and access it on demand. When the organization’s need is to just upload their data and use it as and when required from the cloud, the cloud service itself encrypts that data with its own credentials or in some cases, for maintaining the confidentiality, the data owners encrypt their data prior to outsourcing it. But there is no provision for processing some data within the cloud environment and at the same time maintain data confidentiality and privacy of user query. As a consequence, for classification, either the data needs to be decrypted by the cloud at some point of time and then processed to take proper classification decision or the data owner has no choice but to perform the same task at his/ her end partially or fully. Since the data used for classification is encrypted and placed onto a cloud, the conventional privacy preserving classification methods are not suitable. Some recent work has been done in this direction, but it is proven to be computationally costly and also not very practical. Our proposed system is an effort towards resolving this very problem of classifying encrypted user queries over encrypted data in a more effective and time efficient manner. This is achieved re-designing the existing privacy preserving protocol from a different perspective and by leveraging the properties of homomorphic cryptosystem. Our approach is computationally inexpensive and does not compromise the privacy of user query or the confidentiality of the database outsourced by the data owner.
CONTRIBUTION OF VOCATIONAL HIGH SCHOOL IN IMPROVING THE QUALITY OF HUMAN RESOURCES AND THE PARTIALITY OF GOVERNMENT

Background: directed toward the transformation of human resource quality, so as to increase the competitiveness in the labor sector. Aim: This study aims to find out how the contribution quality of human resources and the partiality of the government Province, Indonesia Methods: Results: Vocational High School, not accompanied by the readiness of most Vocational High School Situbondo impacting the achievement of the objective of increasing the resources students are less than optimal, 2) the government's optimal, it is reflected in the unavailability of macro policy in the form of management and development of Vocational High School. The micro policy undertaken by the relevant agenci inability of the education office to innovate in the guidance of Vocational High School.
Ocular injury pattern in the university hospital of South India

Background: Ocular trauma is a major cause of preventable monocular blindness and visual impairment in the world. There is relatively less population based data on the magnitude and risk factors for ocular trauma, especially from developing countries. In an attempt to determine the pattern of ocular injuries in the region, this study was carried out. Methods: This retrospective study was conducted between April 2014 and March 2015 at the SRM MCH & RC, a suburban tertiary care hospital at SRM university campus. All available demographic data with ocular history and eye findings of the patients visiting the hospital during the study period were examined and recorded. Results: Of 20,376 patients seen during the study period, 729 had at least one form of ocular trauma or the other. 82.44% were males while 17.56% were females. Mean age of the study group was 26.71 ± SD 11.04 years (range from 5yrs to 70 yrs.). The younger population between 11-40 years were most affected, of which 47.05% were from age group, 21-30yrs, as in TABLE 1. 45.54% of the trauma cases reported on the same day of injury, i.e. within 24 hours. In our study, 48.69% had visual acuity of 6/6 6/12. The most common cause of injury is work place related, 38.41%. Road traffic accident (RTA) 26.34% accounted second most common cause of the injuries followed by Sports 11.52% as in Table 4. Conclusion: In this study, blunt eye injury was the most common type of ocular trauma. The community should be educated and informed about the importance of preventive measures.
Systemic amyloidosis by Cardiovascular Magnetic Resonance

Systemic amyloidosis is an infiltrative disorder caused by amyloid deposition in the extracellular space. Two main types of systemic amyloidosis affect the ventricular myocardium, immunoglobulin light chain (AL) and transthyretin (ATTR). These have different natural histories and prognosis but in both, cardiac involvement is the main driver of outcome. For cardiac amyloidosis, Cardiovascular Magnetic Resonance (CMR) with the late gadolinium enhancement (LGE) technique provides sensitivity for early detection but is highly dependent on operator skills and not quantitative - there is no current method of measuring cardiac amyloid burden. A new technique, T1 mapping permits tissue abnormalities to be directly visualised in a simple scan – the colour changes being instantly recognisable, either before contrast (native T1 mapping) or after, when the myocardial extracellular volume (ECV) can be measured. Furthermore, a widely available LGE approach, phase sensitive inversion recovery (PSIR) LGE, being less operator dependent, had potential for improved performance.