Miracle-dz/UniFAR-FTUs huggingface dataset:
Test Data Generation Using Intelligent Geno-Neuro Technique

— Software testing is an integral part in software development which requires the use of test data to test software. During testing, the most difficult problem is the generation of test data. A test data generator is a tool which assists programmers or testers in generation of test data for a program which will thus reduce the time and cost of software testing. Some techniques have been proposed to develop the test data generator. Using geno-neuro technique, more rigorous test data will be generated. This approach will make use of the control flow graph to guide the test data generation. Control flow graph will be used to analyse the necessary paths in the program. The neural network will be trained with the genetic algorithm for the generation of test data. This approach (geno-neuro technique) has been shown to enhance the generation of more rigorous test data.
Gastroprotective effect of simvastatin against experimentally induced gastric ulcers in rats: Role of ATP-sensitive K channels

Simvastatin appeared to have additional benefits beyond their lipid lowering effects, which has led to interest in the use of this class of drugs outside the field of cardiovascular disease. Aim: This study aimed to investigate the possible gastroprotective effect of simvastatin against both indomethacin and cold restraint stress (CRS) induced gastric ulcers in rats and to study its effect on gastric mucosal malonaldehyde (MDA) ,nitric oxide (NO)and prostaglandin E2( PGE2) levels in both ulcer models. Exploration of the possible contribution of ATPsensitive K channels in this action. Design: 72 healthy, adult male albino rats were used. The rats were randomly assigned to vehicle (distilled water or carboxymethylcellulose (0.5%), simvastatin, simvastatin +glibenclamide (ATP-sensitive K channels blocker), pretreated groups for 7 days then ulcers were induced using oral indomethacin or cold restraint stress. Assessment of gastric lesions was done, gastric juice parameters ( total acid output, pepsin activity and mucin content ) were determined for each group using pyloric ligation method . Rats from simvastatin pretreated groups in both ulcer models were used for determination of gastric mucosal level of MDA (as indicator of lipid peroxidation) , nitrite (as indicator of NO) and PGE2 levels. Results: Simvastatin displayed significant (P< 0.05) protection against gastric lesions induced by either indomethacin or exposure to cold restraint stress by correction of both ulcer score and the measured gastric juice parameters. This effect was partially blocked by coadministration of glibenclamide. Simvastatin significantly (P< 0.05) reduced gastric mucosal MDA; significantly (P< 0.05) increased in PGE2 levels and corrected nitrite to near normal levels in both ulcer models. Conclusion: This study confirmed the gastroprotective effect of simvastatin in indomethacin induced ulcer in rats and proved it in CRS induced ulcer . The gastroprotective effect of simvastatin is mediated through opening of ATP sensitive K channels, free radical scavenging, increase in gastric mucosal PGE2 and normalization of gastric mucosal NO in both ulcer models. [Dalia M. Abd El Motteleb, Mai M. Hasan . Gastroprotective effect of simvastatin against experimentally induced gastric ulcers in rats: Role of ATP-sensitive K channels. Journal of American Science 2011;7(7):760768]. (ISSN: 1545-1003). http://www.americanscience. org.
SOCIETA' ITALIANA DI CARGIOLOGIA INVASIVA (SICI-GISE) CLINICAL RESEARCH STUDY TITLE GIse registry Of Transcatheter treatment of mitral valve regurgitaTiOn (GIOTTO)

Registry under the auspices of Società Italiana di Cardiologia Invasiva (SICI-GISE) Revision: 1.0 Date: November 2014 Co-Primary Investigators: Dr. Francesco Bedogni (Istituto Clinico S. Ambrogio, IRCCS San Donato) Prof. Corrado Tamburino (Ospedale Ferrarotto Alessi Catania) Dr. Arturo Giordano (Clinica Pineta Grande Unita' Operativa di Cardiologia Invasiva, Caserta) Protocol Authors: Dr. Francesco Bedogni (Istituto Clinico S. Ambrogio, IRCCS San Donato) Dr. Luca Testa (Istituto Clinico S. Ambrogio, IRCCS San Donato)
Impact of Combine Dithering and Modulators to Mitigate Noise in Radio Over Fiber System

A well-prepared Radio over Fiber (RoF) is a technology that combines two transmission technologies, radio and optical fiber transmissions. The study focused on the characteristics and problems of the optical fiber medium. One of the problems in the optical fiber is the effect of nonlinear characteristic, which caused by the high light intensity in the optical fiber core with extended interaction area in a single mode fiber (SMF). This characteristic reduces the output width and creates a pulse broadening. The nonlinear characteristics discussed in this study focused on SPM (self-phase modulation) and GVD (Group Velocity Dispersion). To overcome the nonlinear problems, this study presented a method to make the noise-resistant transmitted signal and improve the optical fiber power range. The fundamental of this study was developing similarities of previous studies regarding nonlinearity in the optical fiber. The results show that the use of two modulators combined with the amplification generated the signal with smoother spectrum, which means that the spectrum distribution was more uniform. There was 61.5 % increase of the peak power of the output signal after amplification using an optical amplifier.
Human Resource Sourcing In Idah Local Government Council, Kogi State, Nigeria 2007 - 2011: The Issues

There is no gainsaying the fact that local government system is primarily created in Nigeria to bring government nearer to the people. However, this cannot be achieved in the absence of competent human resources who are the principal actors in any given organization. This paper lucidly discussed the extent to which Idah Local Government Council in Kogi State complied with the employment guidelines. It adopted secondary data as the major source of data and the Weberian Bureaucratic Model was used for analysis. One hundred and forty three (143) employees employed from 2007- 2011 by both Idah Local Government and the Kogi State Local Government Service Commission were sampled. Based on this, empirical data were collected and presented using Semi Text Method of data presentation, and content analysis which its validity was ascertained by consulting experts. The paper majorly identified that neither the Commission nor Idah Local Government advertised vacancies before employment was done within the period under review and strongly recommended among others that, appropriate laws should be enacted to check the excesses of political influence over matters that are purely bureaucratic in nature, especially employment/appointment, training, posting and discipline of employees. Key Words: Personnel, Guidelines, Compliance, Local Government, Local Government Service Commission
APPENDIX 2. PEER REVIEWER RELATIONSHIPS WITH INDUSTRY—ACCF 2008 RECOMMENDATIONS FOR TRAINING IN ADULT CARDIOVASCULAR MEDICINE CORE CARDIOLOGY TRAINING (COCATS 3)—TASK FORCE 9: TRAINING IN THE CARE OF ADULT PATIENTS WITH CONGENITAL HEART DISEASE

Name ConsultantResearchGrantScientiﬁc AdvisoryBoardSpeakers’BureauSteeringCommittee Stock Holder OtherDr. John S. Child None None None None None None NoneDr. Michael D. Freed None None None None None None NoneDr. Constantine Mavroudis None None None None None None NoneDr. Douglas S. Moodie None None None None None None NoneDr. Amy L. Tucker None None None None None None
Power Optimized Voltage Level Shifter Design for High Speed Dual Supply Application

1Mtech scholar, Department of ECE, GECI, Kerala, India 2Assistant Professor, Department of ECE, GECI, Kerala, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – Reduction of power consumption has always been major design goal in energy harvesting digital devices. One effective way for low power design use of multiple voltages depends on their speed. This, however, accomplish the use of interface block called level converters or level shifters. This paper presents a modified structure of level shifter for lower power implementation. Simulation results of proposed structure in a 0.18-um CMOS technology show that the design of input low supply voltage of 0.4V and high supply voltage of 1.8V, the level shifter has a propagation delay of 12.5ns and a power dissipation of 87.7nW for a 1-MHz input signal. Then comparison is done against these level shifters in terms of power, speed and power delay product.
Cellular Automata Construction for Pixel Based Pattern Predictions by Rule Base Using Satellite Images

: Satellite images can be used for prediction purpose using the pixel patterns indicating geographical entities. The growth of a non-built area can be detected through the change of pixels in a temporal imagery data. A built area usually affects the growth of its surrounding area as similar to Cellular Automata theory. Cellular Automata (CA) is a system consists of grid cells where each one is in finite number of states. The basic components of CA are cells, states neighborhood and transition rules. This research is mainly about obtaining a set of transition rules that detect the pattern of urban growth based on digital maps. The datasets are in the form of satellite images of the study area, the district of Chennai, Tamil Nadu, India, one of the most rapid urban growth areas. It is difficult to specify equation-based transition rules due to complex geographical processes in the urban growth. Most of the available transition rules are defined statically. This research proposes a different approach using deterministic and pixel-based method by experimentally identifying the unique pattern of surrounding cells on every pixel in the map. Then, the unique patterns are used to generate the transition rules. The rules are implemented as a prototype engine and the accuracy of the rules are tested by comparing predicted results with the original satellite images. Due to the rapid urbanization process in India, it is important to have a system that has the ability to predict the future growth of an urban area. Excellent accuracy will lead to better monitoring system to cater future livings.
Osteopenia of prematurity: Assessment of Biochemical parameters in Very low birth weight preterm neonates

Background: Osteopenia of prematurity, commonly called as metabolic bone disease (MBD), is mostly described in preterm babies (< 36weeks) with very low birth weight (VLBW). This condition is characterized by a reduction in bone mineral content (osteopenia), with or without rachitic changes, and is caused by several nutritional and biomechanical factors. Objective: To determine the incidence of osteopenia of prematurity among high risk preterm VLBW babies and also to document changes in biochemical parameters including serum calcium, serum phosphate, serum alkaline phosphate (ALP) and serum creatinine in the above cases. Material and method: This prospective observational study includes all the very low birth weight babies born fromNovember 2012 to July 2014. Present study comprised of 60 VLBW neonates of which 10 were <28weeks, 32 were 28-31week and 18 were 31-34weeks of gestation. Estimations of biochemical parameters were done at 2nd week of birth and again at 6th week to detect the incidence of osteopenia. Result: There was a significant decrease inserum calcium and serum phosphorous level where asserum ALP documented a significant increase in preterm neonates when compared to control. 14 of 60 VLBW babies developed osteopenia of prematurity at 6th week of life. Conclusion: As observed in the present study, gestational age, birth weight and ALP are considered to be significant risk factors and are associated with osteopenia. So early detection of this condition by monitoring of biochemical parameters in high-risk cases minimizes the development of osteopeniaand prevent future complications of osteopenia.
Digital Forensics for Recoloring via Convolutional Neural Network

: As a common medium in our daily life, images are important for most people to gather information. There are also people who edit or even tamper images to deliberately deliver false information under different purposes. Thus, in digital forensics, it is necessary to understand the manipulating history of images. That requires to verify all possible manipulations applied to images. Among all the image editing manipulations, recoloring is widely used to adjust or repaint the colors in images. The color information is an important visual information that image can deliver. Thus, it is necessary to guarantee the correctness of color in digital forensics. On the other hand, many image retouching or editing applications or software are equipped with recoloring function. This enables ordinary people without expertise of image processing to apply recoloring for images. Hence, in order to secure the color information of images, in this paper, a recoloring detection method is proposed. The method is based on convolutional neural network which is quite popular in recent years. Unlike the traditional linear classifier, the proposed method can be employed for binary classification as well as multiple labels classification. The classification performance of different structure for the proposed architecture is also investigated in this paper.
Review of a Web-Based Mathematics Tutor for Nigeria Undergraduate

This work reports on the Web-based undergraduate mathematics tutor developed by the author for use by the undergraduates of Computer science department in higher educational institution. It briefly analyses the traditional method of teaching undergraduates mathematics and uses ideas so gathered to design a new one. The new method allows students to learn mathematics interactively, and at their own pace via technologically-based system. Their understanding in mathematics will increase as they learn interactively on their own, and consequently improve their performance in mathematics. The system was designed using top-down design methodology
The Beverages

Humans maintain their water balance by consuming an equal amount of water to that which is excreted. The body keeps water in a balanced state by controlling intake and excretion. However, the body can suffer from either a negative or a positive water balance. Negative water balance, dehydration, is defined as a reduction of water and salt in varying proportions compared with the normal state, which may be caused by failure to replace obligatory water losses or failure of the regulatory mechanism. Dehydration leads to hypernatremia, which can be caused by one or more of the following: water loss in excess of sodium chloride, inadequate water intake, addition of sodium chloride (salt poisoning), osmotic diuresis (with glucosuria), and diuretic therapy when free water intake is inadequate [2,3]. When the body loses salt to a greater extent than that of water, hyponatremic dehydration occurs [2]. Thirst drives humans to drink fluid in order to preserve body fluid homeostasis and survive [4]. A minimum of 1.44 L of water is needed per day to cover the water lost and to maintain the water balance [5]. Beverages could contribute to the human requirements of water. Troiano et al. [1] reported that 20-24% of energy intake came from beverages. In addition to fulfilling a basic need, drinks form part of the culture of human society. Types of beverages consumed affect the composition of modern diet [6]. Despite the fact that all beverages contain water, water itself is not classed as a beverage. The word beverage has always been defined as not referring to water. Furthermore, it has been reported that these beverages are in the top ten contributing foods for several nutrients. Milk contributes to energy, protein, fat, calcium and vitamin A intake, while fruit juices contributes to energy, calcium, iron, vitamin C, vitamin A, and fiber intake, and soft drinks contributes in energy and vitamin C (in fortified fruit drinks) intake [7]. Abstract
Thermal Performance of Recycle Pass Solar Air Heater with V- Corrugated Absorber Plate

The performance of recycle pass solar air heater with V-corrugated absorber plate was examined experimentally. The results were compared with single pass solar air heater with V-corrugated absorber plate. The measured parameters were temperature difference, useful energy, pressure drop, and collector efficiency. It’s founded that, the recycle pass has an increase in these parameters as they compared with single pass. The air flow rate range between 0.01 – 0.03 m3/s was tested in winter 2016 in Iraq. Experimental data show that, the useful energy and thermal efficiency were increased with increases of air flow rate. The useful energy generated by recycle pass was 18.8 % more energy per day than the single pass solar air heater. Maximum temperature difference between outlet air temperature and ambient temperature for recycle pass and single pass were 31 oC and 25 oC, respectively. The maximum value of the performance curve of the recycle and single pass were 68 % and 61 %, respectively.
A Robust Image Restoration by Using Dark channel Removal Method

—This work focus on Fog removal which is also known as visibility restoration refers to different methods that aim to reduce or remove the degradation. The degradation may be due to various factors like relative , relative atmospheric turbulence , object-camera motion, miss-focus , blur due to camera and others. This paper has utilized the dark channel method for estimating the atmospheric light with change in environment. This help in removing the distortion present in the image. Experiment was done on real dataset as well as on artificial dataset images. It has been obtained that that proposed work has improve edge restoration value by 2.4 time, while contrast restoration value was increased by 4.51 time as compare to previous work is better as compare to previous work in [8].
Enhanced Edge Detection Based Support Vector Machine towards the Prediction of Lung Cancer

: Image Processing is a process of performing operations on an image with an intention of getting an improved image. It is also used to mining to get the hidden information in an image. Edge detection is the method of finding the boundaries of object in the image. Recently image processing techniques are being used in the prediction of diseases, where it helps to increase the classification accuracy. In this paper a novel edge detection method based on least square support vector machines is proposed to detect edges with the target of predicting the lung cancer. This paper uses sensitivity, specificity, accuracy and F1-measure as the metric tomeasure the performance. The results show that the proposed methods outperforms than other algorithm.
Recent Advances in Composite – A Review

The aim of the review is to enhance the recent advances in composite. Composite dental restorations represent a unique class of biomaterials with severe restrictions on biocompatibility, curing behaviour, aesthetics, and ultimate material properties. Composite restorative materials represent one of the many successes of modern biomaterials research, since they replace biological tissue in both appearance and function. The development and implementation of composite dental restorative materials rely on a comprehensive understanding of each component of the composite and consideration of methods for changing each component. These materials have been the focus of a great deal of research in recent years with the goal of improving restoration performance by changing the initiation system, monomers, and fillers and their coupling agents, and by developing novel polymerization strategies.
Review On Template Matching And Registration Of Retina Images For Teleophthalmology

: The process of diagnosis and treatment concerned with various ailments that affects the retina and the choroid beneath it need acquiring a set of fund us images, which uses the fund us camera. Also, these images require processing for achieving a better form of diagnosis and also treatment planning. The process of retinal image template matching is highly necessary for the extraction of particular features, which may be of immense use in diagnosis and medical treatment. In addition, registration of retinal images is hugely valuable during the extraction the motion parameters, which aid in creating an entire map on the eye‘s retina and also in retinal tracking process. This research work presents an analysis for the image preprocessing, dimensionality reduction, template matching and registration approaches, which were reported for retinal images also.
Impacts of handling strategies on supplement maintenance of white yam (Dioscorea rotundata) items to nourishing intake of Nigerians

Consumption of indigenous foods is being encouraged globally as a means of meeting dietary needs of people. Yam products constitute staple source of energy to many Nigerians but little is documented on their nutrient composition. This study was carried out to determine the effects of processing methods on nutrient retention and possible contribution of some diets prepared from yam to nutrient intake of consumers. Fresh yam tubers were purchased from Sango market in Ibadan, peeled and cut into small pieces, then divided to eight portions. One portion was treated as raw sample while others were processed into roasted, fried, boiled, pounded yam (two samples), amala and porridge. All samples were analysed for proximate, energy and mineral composition using standard methods of AOAC and atomic absorption spectrophotometric methods. Raw yam was very low in crude protein (2.3 g), lipid (0.8 g), and fibre (1.4 g) moderate in ash (3.4 g), iron (4.1 mg) and zinc (5.6 mg), high in carbohydrates (33.3 g), energy (369.6 kcal), sodium (580 mg) and potassium (470 mg) /100 g edible portion. Roasting and frying brought significant improvement on crude protein, lipid and energy content of the products (p<0.05). Boiling yam caused significant reduction in all nutrient content except fibre, while boiling and pounding yam significantly improved its crude lipid, ash and energy content (p<0.05). Frying and using water for boiling yam in pounded yam preparation brought significant retention of nutrients in yam. Processing yam to amala and porridge resulted in significant improvement in nutrient content of the diets. Diets from yam can serve as good source of energy and minerals, and their 100 g portion can contribute between 12.4 to 20.9% gross energy, 11.0 to 46.0% iron and 17.3 to 48.7% zinc to recommended dietary allowances (RDAs) of consumers.