Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDY OF CORRELATION BETWEEN ANTHROPOMETRIC PARAMETERS (BMI, WC, WHR) AND ATHEROGENIC INDEX OF PLASMA (AIP) IN TYPE 2 DIABETICS IN JEDDAH, SAUDI ARABIA

This study aimed at investigating the relationships between lipid abnormalities, atherogenic index of plasma (AIP) and anthropometric indices (WC, BMI, WHR) among a group of Saudi type 2 diabetic patients living in Jeddah. A total sample of one hundred and thirty four male aged 27 to 75 years old participated in this study. Anthropometric measures and blood chemistries were obtained. The results revealed that there was a significant increase in serum TC, TG, LDL-c, VLDL-c and a significant decrease in HDL-c in patients. The most common lipid abnormality found in this study was triglycerides followed by HDL and LDL. The results revealed a weak, positive and significant correlation between BMI (r= 0.230), WC (r= 0.349), WHR (r=0.187) and HbA1c. In the case of lipid components, a weak, positive and significant correlation was obtained between BMI (r= 0.208), WC (r= 0.325), WHR (r = 0.274) and TG while a weak, negative and statistically significant correlation was obtained between BMI (r= 0.201), WC (r= -0.245), WHR (r= 0.231) and HDL. Statistically significant and weak positive correlation was found between BMI (r= 0.115), WC (r= 0.182), WHR (r= 0.127) and TC. Statistically significant and weak positive correlation was found between BMI (r= 0.315), WC (r= 0.372) and LDL while a weak, positive and non-significant correlation was found between WHR (r=0.197) and LDL. A weak, positive and nonsignificant correlation was obtained between BMI (r=0.197), WC (r=0.018), WHR (r=0.227) and VLDL. The results revealed that multiple anthropometric parameters are required to correlate lipid profile rather than single parameter in type 2 diabetes mellitus. This study showed that all of the studied anthropometric indices had a statistically significant positive correlation with AIP. The relationship was strongest between AIP and WC (r= 0.383; p=0.0024) and the least was between AIP and waist-hip-ratio (r = 0.226; p=0.0042). The results of the present study revealed that multiple anthropometric parameters are required to correlate lipid profile and AIP rather than single parameter in type 2 diabetes mellitus. Along with anthropometric measurements, lipid profile is also need be monitored in type 2 diabetics. Further broad study is advised.
One-Pot Synthesis of Novel Substituted Phenyl-1,5-dihydro-2H-benzo[4,5]thiazolo[3,2-a]pyrimido[4,5-d]pyrimidine Derivatives as Potent Antimicrobial Agents

In this paper, we have reported the synthesis of novel substituted phenyl-1,5-dihydro-2H-benzo[4,5] thiazolo[3,2-a]pyrimido[4,5-d]pyrimidine derivatives (4a-m). The title compounds were synthesized by the reaction of substituted 2-aminobenzothiazole, barbituric/thiobarbituric acid and substituted benzaldehydes using 2-3 drops of HCl in ethanol. The synthesized compounds were evaluated for their antimicrobial efficiency against various microbial strains at different concentrations. Among the tested compounds, the compounds 4k and 4j were found to be more active against all the tested pathogens. Additionally, selected compounds were screened for in silico molecular docking studies.
CONVOLUTION NEURAL NETWORKS FOR FACE RECOGNITION AND FEATURE EXTRACTION

A robust human identity authentication system is vital nowadays due to the increasing number of crime and losses through identity fraud. And thus, facial recognition for verification and validation has been one of the major evolutions through neural networks. However, it still remains one of the challenging problems. The main challenge is how to improve the recognition performance when affected by the variability of non-linear effects that include illumination variances, poses, facial expressions, occlusions, etc. In the paper, robust 4-layer Convolutional Neural Network (CNN) architecture is proposed for the face recognition problem, with a solution that is capable of handling facial images. We will outline the most important existing approaches to facial image analysis and present novel methods based on Convolutional Neural Networks (CNN) to detect, normalize and recognize faces and facial features. CNN is inspired by visual mammalian cortex of simple and complex cells. It consists of 4-8 layers with image processing tasks incorporated into the design. CNN applies three architectural concepts in its architecture namely shared weights, local receptive field and sub sampling. They show to be a powerful and flexible feature extraction and classification technique which has been successfully applied in other contexts, i.e. hand-written character recognition, and which is very appropriate for face analysis problems.
VIDEO-CAPTCHA Creation Using Gibbs Resampling Algorithm

Creating CAPTCHAs via casual pasture simulation . certainly, display that satisfactory information about word tests for easy human detection. The CAPTCHAs are then partial casual realizations of the casual CAPTCHA word. The process start with an initial casual pasture (e.g., randomly scattered letter pieces) and use Gibbs resampling to re-suggest portions of the pasture repeatedly using these conditional probabilities until the word becomes human understandable. The creative intention of the Scatter Type algorithm was to produce CAPTCHAs that were human readable but difficult to crack, produce Scatter Type CAPTCHAs that are clearly unreadable to humans yet “readable” to computers designed for efficient simulation. Certainly, use KNW-CAPTCHA to refer to the easy KNW-CAPTCHA variation. This variation is generated with no background noise and no vertical displacement of individual characters, and is designed to be as easy as possible to attack while maintain the fundamental properties of the KNW-CAPTCHA. Search image pixels using scatter search algorithm and create video format captcha. The video format on behind of video our KNW-CAPTCHA will displayed and show to client the client it is more security OCR will not recognition will not possible to KNW-CAPTCHA information
Survey on Efficient Dynamic Resource Allocation in Cloud

-Cloud computing is on demand as it offers dynamic flexible resource allocation for reliable and guaranteed services in pay as-you-use manner to public. In Cloud computing multiple cloud users can request number of cloud services simultaneously.So there must be a provision that all resources are made available to requesting user in efficient manner to satisfy their need. In this paper, virtualization technology is proposed for efficient dynamic resource allocation.
Evaluation of Serum Leptin and Androgens Levels in Preeclampsia: Relation with Disease Severity

Preeclampsia along with its complications seems to be one of the major causes of maternal morbidity and mortality. Despite numerous studies, the pathology of preeclampsia has not yet been fully elucidated. Serum leptin levels are increased in normal pregnancies and are more elevated in preeclampsia. Also, many studies have concluded that high levels of blood androgens have been observed in preeclamptic women and may implicate the pathogenesis of preeclampsia. This study aims to evaluate total maternal serum leptin and androgen levels in preeclampsia and to evaluate whether these levels are affected by the severity of the disease and if other factors such as BMI and these hormonal factors have a role in the overall regulation of leptin production. The study included a total numbers of 60 cases. Divided into 3 groups: Group I (mild preeclampsia): included 20 pregnant females suffering from mild preeclampsia. Group II (severe preeclampsia): included 20 pregnant females with severe preeclampsia and Group III (controls):included 20 healthy pregnant females with comparable maternal and gestational age. Total serum Sex hormone binding globulin (SHBG) Dehydroepiandesterone-sulphate(DHEA-S), leptin, Estradiol, free and total testosterone levels were measured in all subjects. The result indicated that Leptin, E2 and testosterone are significantly increased in preeclampsia than control (p <0.0001) and correlates with severity (p <0.0001). SHBG levels are significantly higher (p <0.0001) in preeclampsia while the level of DHEA-S is not statistically different when compared to normal pregnant group (>0.05). The elevated leptin levels are not associated with preeclampsia independently from BMI and estradiol levels. The study concluded that the levels of serum leptin are higher in women with preeclampsia than controls and that elevation could possibly be related to the underlying relationship between leptin levels and BMI and estradiol level. [Naglaa Ghanayem, Ashraf Dawood, Rania Azmy and Alaa El Halaby, Evaluation of Serum Leptin and Androgens Levels in Preeclampsia: Relation with Disease Severity. Journal of American Science 2011; 7(9): 366-372]. (ISSN: 1545-1003). http://www.americanscience. org.
SOLAR POWERED MEMBRANE DISTILLATION AND REVERSE OSMOSIS PROCESS

The ground water quality problems present today by many countries caused by contamination and by overexploitation, or by combination of both. These problems will be overcome by membrane thermal process such as a membrane distillation (MD). This process has many desirable properties such as reduced use of chemicals, low sensitivity to variation in process variables, low energy consumption and more immunity to fouling than other membrane processes. The possibility of using solar energy in membrane distillation process has been described. The types and advantages of membrane distillation processes are presented. Recent advances in membrane technology, applications and economics of membrane distillation process have been presented. The component required to design membrane distillation process and reverse osmosis process has been presented. The cost estimation of pilot Reverse osmosis and Membrane distillation has also been compared. Effect of feed concentration on flux has also been discussed with reference to previous published papers.
FLUORIDE RELEASING AND COLOURCHANGING PIT AND FISSURE SEALANTS – a review

Received: 15 January 2017 Final Accepted: 18 February 2017 Published: March 2017 Aimto review about the colour changing and fluoride releasing pit and fissure sealants. Backgrounddental caries is the most important and the most common intra oral disease that is seen both in children and adults. This being the era of preventive dentistry, the main aim of the dentist is to prevent the teeth from any carious involvement. Earlier,two main methods prophylactic restoration and prophylactic odontotomy were used in the management of pit and fissure caries.it is even possible to establish a caries free dentition in childhood with the increasing advancements in pit and fissure sealants. This article mainly aims to review the recent advancements in pit and fissure sealants like color changing sealants,fluoride releasing sealants and resin based sealants. Reasonto understand more about the colour changing and fluoride releasing pit and fissure sealants.
A survey on various Technologies used for Real Time Human Computer Interaction

— This paper aims to present a survey of various unimodal (visual based in particular) Human – Computer interaction technologies that have been used nowadays for helping people with individuals to use computers and computer related activities like gaming. The world we live in has become suffused with computer technologies. They have created change and continue to create change. It is not only on our desktops and in our hands that this is manifest; it is in virtually all aspects of our lives, in our communities, and in the wider society of which we are a part. Utilizing computers had always begged the question of interfacing. The methods by which human has been interacting with computers has travelled a long way. The journey still continues and new designs of technologies and systems appear more and more every day and the research in this area has been growing very fast in the last few decades. The growth in Human-Computer Interaction (HCI) field has not only been in quality of interaction, it has also experienced different branching in its history. Instead of designing regular interfaces, the different research branches have had different focus on the concepts of multimodality rather than unimodality, intelligent adaptive interfaces rather than command/action based ones, and finally active rather than passive interfaces. This paper intends to provide an overview on the state of the art of HCI systems and cover most important branches as mentioned above.
Obesity Knowledge among Intermediate School Students in Majmaah, Saudi Arabia

Introduction: Obesity is a significant public health problem affecting more than half a billion people in both developed and developing countries. Studies on obesity awareness among school students in Saudi Arabia are scanty. A study conducted among school students in Al-Madinah, Saudi Arabia showed that most of students had insufficient knowledge of obesity. Objectives: The objectives of the study were to determine the level of obesity knowledge of intermediate school students in Majmaah, Saudi Arabia and to determine the relation between studentsâ nutritional status and their obesity knowledge. Methodology: The research design was cross-sectional. The sample size was calculated as 350. The data was collected by a pretested questionnaire and medical examination. Weight and height of the students were measured to calculate the Body Mass Index (BMI). SPSS for windows was used for data analysis. Results: Most of the students had adequate level of obesity knowledge 214 (61.1%). The obese students who had adequate knowledge were 60 (72.3%). The overweight, the normal and the underweight students who had adequate knowledge were 63.4%, 59.6% and 47.3% respectively. Conclusion: In Conclusion, most school students have adequate knowledge about obesity: however, knowledge of students who are obese or overweight is better than those who are normal or underweight. The study recommends more studies about studentsâ knowledge of obesity that involve students from all regions of Saudi Arabia.
Factors Affecting Thermal Comfort of Nonwoven

Nonwoven are widely used for protective clothing in the field of defense, medical etc. These are the areas where protection and comfort to wearer while performing are very important. Comfortability helps to maintain a such suitable mind condition for concentration. Total comfort is sum of thermal comfort, moisture vapor transport and aesthetic comfort. Among them thermal comfort is most important.
Information-Flow Analysis of Design Breaks up

---------------------------------------------------------------------ABSTRACT----------------------------------------------------------------- Traditional interpreted data-flow analysis is executed on whole plans; however, such whole-program psychoanalysis is not executable for large or uncompleted plans. We suggest fragment data-flow analysis as a substitute approach which calculates data-flow information for a particular program fragment. The psychoanalysis is parameterized by the extra information available about the rest of the program. We depict two frameworks for interracial flow-sensitive fragment psychoanalysis, the relationship amongst fragment psychoanalysis and whole-program analysis, and the necessities ensuring fragment analysis safety and feasibility. We suggest an application of fragment analysis as a second analysis phase after a cheap flow-insensitive whole-program analysis, in order to obtain better data for important program fragments. We also depict the design of two fragment analyses derived from an already existing whole-program flow-and context-sensitive pointer alias analysis for Computer program and present empirical rating of their cost and precision. Our experiments show evidence of dramatic improves precision gettable at
TEXTURE FEATURE EXTRACTION FOR CLASSIFICATION OF MELANOMA

- The skin properties like skin dryness, fungus and allergic symptoms of skin layer may lead to starting symptoms of malignant melanoma skin cancer. The correct identification of skin spots based on certain features is the key steps in detecting the skin cancer disease in advance. The affected skin texture profile correlation with malignant melanoma skin cancer is discussed in the proposed work. In the existing scenario, the skin images are analyzed in frequency domain. The skin color in texture images does not vary over a wide range. Therefore, the histogram profile of the skin texture remains almost flat. We have shifted the skin texture analysis towards the gray level profile analysis. The gray color profile of the skin texture may give fair idea about the skin sensitivity and is a new emerging skin texture analysis tool. In the proposed work, skin gray color profile has been taken as the input parameter in order to ascertain the skin profile. A support vector machine (SVM) classifier is trained to classify the different skin images based on GLCM features. The SVM classifier very well classifies the different skin images into their respective classes using GLCM features.
A Novel Protocol For Privacy Preserving Decision Tree Over Horizontally Partitioned Data

: In recent times, there have been growing interests on how to preserve the privacy in data mining when sources of data are distributed across multi-parties. In this paper, we focus on the privacy preserving decision tree classification in multi-party environment when data are horizontally partitioned. We develop new and simple algorithm to classify the horizontally partitioned multi-party data. The main advantage of our work over the existing one is that each party cannot gather the other’s private data and it is simple and its performance is unmatched by any previous algorithm. With our algorithms, the computation cost and communication cost during tree building stage is reduced compared to existing algorithms.
An Automated Test Case Generating Tool Using UML Activity Diagram

Software or application testing is a process of executing a program with the goal of finding defect to make better system. In software testing phase, writing test cases is one of the important activities. Manually writing test cases approach is lengthy of time period and need more effort to accomplish the process. On the other hand, automated test case generation technique is the way to solve this issue and model-based test case generation approach would be the appropriate for this automation process. Usually, a model is required in model-based testing approach to generate the test cases and UML activity diagram is the model in our research. In this paper, we explained our proposed model-based test case generating approach and we successfully developed a tool based on our proposed technique that could generate test cases automatically using UML activity diagram as an input. Finally, we conducted an experiment on a real life simple application of a system using the tool and successfully able to show that our tool can produce same test cases as manually writing test cases of the same system but this tool can save a lot of time and effort as well.
Mobile Application for Root Cause Analysis and Prevention of Unsafe Work Conditions in Oil and Gas Plants

: Oil and Gas Plants are adopting various new policies continuously to ensure safety at work. Stop Work Authority (SWA) is one such newly adopted policy which grants any employee of a particular Oil and Gas plant the authority to stop any unsafe work in the location. Though many Oil &Gas corporations are adopting this policy, they are not able to fully enjoy the benefits the policy purports, due to the lack of a tracking and analytics mechanism for the SWA process. So this is what the current work proposes to do – implement a mobile application for tracking and recording SWA process, then analyse the data recorded to identify the factors that are responsible for such unsafe situations, these analysis results can then be used to prevent future occurrences of similar situations. Mobile application further makes it easy to communicate a situation to relevant stake holders, in real-time via device notifications, without any communication delays thus reducing the latency to respond to an unsafe situation.
In our previous study, 85 evaluable elderly patients with newly diagnosed AML were treated with decitabine in combination with granulocyte colony-stimulating factor, low-dose cytarabine and aclarubicin

No reference salvage regimen has been established in elderly patients with refractory or relapsed acute myeloid leukemia (AML). In our study, six patients older than 60 diagnosed with refractory or relapsed AML received programmed infusions of granulocyte colony-stimulating factor (G-CSF)–mobilized HLA-mismatched donor peripheral-blood stem cells after the DCAG regimen of chemotherapy treatment. The complete remission (CR) rate was 33.33% after the first therapy cycle. The median recovery times of neutrophils and platelets were 12 days and 14.5 days, respectively. No acute graft-versus-host disease (GVHD) or chronic GVHD was observed in any of the patients. The median overall survival (OS) time was 6.2 months (range, 0.9-26.2), and one out of six patients (16.7%) achieved persistent CR. In Conclusion, DCAG regimenin in combination with microtransplantation was well tolerated and showed a promising clinic efficacy in elderly patients with refractory or relapsed AML.
Image Cloning Detection Based on Adaptive Segmentation

– In digital image manipulation the images are converted into desired image by various tools. Detection of such kind of manipulation with digital images especially the cloning is the main area of this work. Earlier the cloning detection is done by either keypoint based or block based alone. In this paper we propose an integrating Adaptive segmentation which segments image into non overlapping and irregular blocks which increases the effectiveness of segment based image Copy Move Forgery Detection. To detect cloning with more accuracy while segment feature matching we have introduced an additional stage which refines the segments according to a threshold value. This Segment refining stage will increase the accuracy and detection speed since it rejects the unwanted segments so that only valid segments are matched. The experimental results are showing the increase in efficiency and accuracy in existing methods in the proposed scheme.
Rapid detection of pathogenic bacteria in vegetables and fruits in Egyptian Farms

Escherichia coli 0157 H:7, Salmonella typhimurium and Listeria monocytogenes are risky members of food-poisoning pathogens. In the present work, PCR assays were validated in artificially contaminated samples that covering nine types of products. Soil, compost, irrigation water, wash water, fresh cut lettuce, carrots, Herbs, readyto-eat salads and strawberry. Samples of food products were stomached in stomacher, followed by 18 hour enrichment in LB media at 37°C. DNA templates were prepared by boiling of 100 ul from the enrichment cultures. The obtained results by PCR were confirmed by that obtained by colony identification (microbiological methods). The data showed that plate count, streaking on selective media and confirmation tests take from 5-7 days. On the other hand, the PCR technique tacks few hours to give very accurate and sensitive detection. Moreover, PCR could detect down to ≤ 10 cfu/g while plate streaking could not. [Nahed Abdel Ghaffar A. Ibrahim, Mohamed Yossef and Mohamed Nabil A.Omar. Rapid detection of pathogenic bacteria in vegetables and fruits in Egyptian Farms. J Am Sci 2014;10(09):242-252]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 32 Key wards: Escherichia coli 0157 H:7, Salmonella typhimurium, Listeria monocytogenes, food-poisoning pathogens, PCR