Miracle-dz/UniFAR-FTUs huggingface dataset:
POLYMORPHISM IN THE GLUTHATHIONE S-TRANSFERASE THETA AND MU GENES AND SUSCEPTIBILITY TO LYMPHOID LEUKEMIA IN SUDANESE PATIENTS

Background: Glutathione S-transferase (GST) are a family of cytosolic enzymes known to catalyze the detoxification of electrophilic compounds, including carcinogens, therapeutic drugs, environmental toxins, and products of oxidative stress, by conjugation with glutathione. GSTs are able to modulate the induction of other enzymes and proteins important in cellular functions, such as DNA repair, and are therefore important in maintaining genomic integrity and, as a result, may play an important role in cancer susceptibility. Aim: This study aimed to study GSTT1 and GSTM1 null polymorphism in Sudanese patients with lymphoid leukemia (ALL and CLL) and correlate the polymorphism with patients age and gender. Materials and Methods: The study is a case control study, conducted in Khartoum state during the period from Janauary to March 2017 among 20 patients with chronic lymphocytic leukemia among both gender at different ages and 20 patient with acute lymphoctic leukemia and 80 apparently healthy control subjects. The GSTT1 nul genotype was determined using polymerase chain reaction (PCR) method. Results: The GSTT1null polymorphism in patients with acute lymphoid leukemia was detected in 13 of patient (65%) 5of them were male and 8 were females, The GSTM1null polymorphism in patients with acute lymphoid leukemia was detected in 17 of patient (85%) 10of them were male and 7 were females. The GSTT1 null polymorphism was detected in 9 of control(18%) with insignificant(OR=8.5for ALL, 95% CI= (2.627.2 P= 0.00). The GSTM1 null polymorphism was detected in 16 of control (53%) but the difference was statistically significant (OR=0.20for ALL, 95% CI=(0.0490.836 P= 0.021). The GSTT1 null polymorphism in patients with chronic lymphocytic leukemia was detected in 7 of patients(35%) 6 of them were male and 1 were females. The GSTM1 null polymorphism in patients with chronic lymphocytic leukemia was detected in 16of patients(80%) 10 of them were male and 6 were females. The GSTT1 null polymorphism was detected in 9 of control(18%) with insignificant (OR=2.4 for cLL, 95% CI=(0.7637.890 P= 0.126), The GSTM1 null polymorphism was detected in 16 of control(53%) with significant (OR=0.28 for cLL, 95% CI=(0.0771.058 P= 0.054). Conclusion: GSTT1 null genotype is a risk factor for ALL and there is statistically significant association between GSTT1 null polymorphism and ALL.
Review: Recent Structure-From-Motion Algorithms 3D Shape Reconstruction

Existing face recognition systems are based on 2D facial images and exhibit well-known deficiencies. Accordingly, the face recognition research is gradually shifting from classical 2D to sophisticated 3D or hybrid 2D/3D. 3D shape reconstruction from multiview photographs and video sequences (2D images) is an active area of research which can fully leverage the potential of existing 2D image acquisition systems. Currently the 3D reconstruction algorithms may be grouped in to four categories. These are Shape-from-X, 3D morphable model (3DMM), structure from motion (SFM) and Learning based. In this paper, we introduce, discuss and analyze the recent SFM methods, depth estimation based on genetic algorithm (SM), constrained independent component analysis (cICA) and Non-linear Least Squares Modeling (NLS). We begin by introducing similarity transform, which forms the basis of SFM reconstruction techniques described here. This is followed by a review and comparison of the three methods. The characteristics of the three SFM methods are summarized in a table that should facilitate further research on this topic.
Implementation of Sketch Based and Content Based Image Retrieval

— In this paper we propose a novel approach to combine Sketch Based and Content Based Image retrieval. The database of the images is growing rapidly and there is huge demand in the enhancement of the retrieval of the images. Color, shape, texture, spatial layout are the main attributes to represent as well index the images. These features of images are extracted to check similarity between the images. Generation of special query is the chief trouble of content based image retrieval. By using different algorithms the similarity between the extracted features from the images are checked. Sketch based image retrieval is efficient and main method which are not necessarily having a high skill to draw the query sketch. To overcome these disadvantages we proposed combination of Sketch Based and Content Based Image retrieval. Experimental results show that proposed system is much better than the single systems.
ANTIOXIDANT EFFECT OF POMEGRANATE TOTAL PEEL EXTRACT ON OXIDATIVE DAMAGE CAUSED BY CISPLATIN IN RAT LIVER

Cisplatin as an antineoplastic drug shows the considerable hepatotoxicity on the liver in high doses. The involvement of oxidative stresses has been identified in Cisplatin cytotoxicity. Due to the antioxidant properties of pomegranate peel, this study was designed to evaluate antioxidant effects of Pomegranate total peel extract (PPE) against oxidative stress induced by Cisplatin in rat. In this laboratory experimental study, 60 male Wistar rats were randomly divided into four groups. Group 1 was selected as a control. Groups 2 and 4 were gavaged by PPE (500 mg/kg) for 15 consecutive days. Groups 3 and 4 received single-dose Cisplatin (7.5 mg/kg) on the tenth day of experiment intraperitoneally and the administration of pomegranate peel continued during other 5 days in groups 2 and 4. Finally, the histological scores of Malondialdehyde (MDA), reduced Glutathione as well as activity of Superoxidase Dismutase, Catalase and Glutathione Peroxidase and Reductase enzymes were measured in homogenate of the hepatic tissue. Finally, these findings were compared with histopathological results. Pomegranate peel extract could increase the scores of hepatic antioxidants and decrease significantly amount of MDA in group 4. The histological changes were also consistent with enzymatic findings histopathologically. Eilyad Issabeagloo et al Research Article 4448 IJBPAS, July, 2015, 4(7) Antioxidant function of pomegranate caused to protect rats liver against oxidative stress induced by Cisplatin.
A Review of Routing Protocols for Delay Tolerant Networks

 Abstract — Delay-tolerant networks have the great potential to connecting devices and regions of the world that are being presently under-served by current networks. A challenge for Delay Tolerant Networks is to determine the routes through the network without having an end to end connection at any given instant of time. The problem has an added constraint of limited size of buffers at each node. This situation limits the applicability of traditional routing techniques which categorize lack of path as failure of nodes and try to seek for existing end-to-end path. In this paper, an algorithm has been proposed for energy efficient by reducing the average number of messages forwarded from source to destination.The algorithm has focused on passing the messages to those nodes which are on the path away from the source node,and hence increases chances of delivering the message to the destination using the routing table
Portrayal of Substance Abuse in Post Independence Hindi Cinema: A Thematic Study

The history of substance abuse can be traced back to prehistoric ages. Figures suggest that in the contemporary times substance abuse has increased greatly to become a menace to the society. Concurrent with this increase in substance abuse is an increase in its representation in print and visual media. Post independence Hindi cinema has been quite sensitive to substance abuse and its trade. Films showing substance abuse can be classified into two broad categories: those showing drug intake or addiction and those focusing on drug trade. Films show substance abuse in romantic aura also. The portrayal of negative aspects of substance abuse is a more recent trend in post independence Hindi cinema, which is in contrast to the cinema of 50s and 60s. The paper suggests that cinema in the current age of internet can prove a highly effective tool to deal with this menace.
Modeling, Control and Simulation of Renewable Source Boost Converter using MATLAB

DC-DC converters are switched power converters. They are used to convert one DC voltage to another DC voltage. It is inordinately used in industry as well as in research. The model of converter system varies from the ON state to the OFF state. The major drawback of the boost converter is the uncontrolled supply of voltage and current. So initially a convectional PID controller is designed to regulate the output voltage. The response is further improved using MPC and NARMA-L2 controller. The time domain specifications of the controllers are compared using the simulation results.
EpiOne: A Software Tool for Identification of Potential Cytosine DNA Methylation Marks in Promoters and Gene Bodies

DNA cytosine methylation is one of the most important epigenetic marks. To date a great number of software tools have been developed to detect, visualize or quantify DNA cytosine methylation data obtained from chemical treatment or enzyme converted genomic sequences and microarray data. However, there exist no software tools specifically identifying potential DNA cytosine methylation marks (CpG, CpHpG, and CpHpH) in promoters and gene bodies. Here we report several algorithms embedded in a novel software tool, EpiOne, to identify and locate potential cytosine methylation marks in annotated genomic DNA sequences. Algorithms also could be used to extract DNA sequences into promoter, exon, intron and UTR sequences. Algorithms of the EpiOne could be used to investigate relationships between some gene properties such as gene, exon, intron lengths and potential cytosine methylation marks and gene expression. Furthermore algorithms identify candidate genomic regions for primer binding sites or target sequences to be used in bisulfite sequencing studies, which is the gold standard in epigenetic research.
Orbital Secondary Lesion from Renal Cell Carcinoma

The most common sites of metastasis of renal cell carcinoma are lungs, locoregional lymph nodes, bone and liver. Renal cell carcinoma rarely metastasizes in head and neck sites. We have reported a case of a patient of 47year-old man who presented with unilateral blepharoptosis and blurred vision due to metastatic renal cell carcinoma to the orbit. The imaging techniques used have been fundamental for the diagnosis, staging and of the choice of the cytological sampling site.
A Study on Different Challenges in Facial Recognition Methods

: Face recognition is one of the major biometric recognition process adapted by online and offline applications. But easy availability of face capturing increased the complexities. There is no standard device or constraint to capture these faces. Lack of standardization has increased the challenges in recognition model. In this paper, some of these challenges are discussed and presented. These challenges are required to resolve to improve the integrity of recognition process model. These challenges include environmental constraints, device specific constraints and the facial feature constraints. The paper has explored some of these associated challenges.
FARMER PERCEPTION OF CLIMATE CHANGE STRESSORS: ADAPTATION STRATEGIES AND EFFECT ON FARMER STRESS-MIGRATION

Study investigated the effect of farmer perceptions of climate change stressors on stressmigration using primary data collected by means of multi-stage sampling technique in 2012 on 120 irrigated upland rice-farming households. Data were analyzed using descriptive statistics and Heckman Two-Steps probit models. Results showed that drought and flood principally reduced rice yield, led to high crop loss, increased food insecurity and indebtedness and induced farmer stress-migration. Twenty-two percent of the farmers adapted to stress-migration between the years 2007 to 2011. Farmers frequently coped with cutting expenses, engaging in wage labor, hoarding food, seeking support from friends and relations, acquiring loans and petty trading and stress-migration. Adoption of ‘change of cropping patterns’, uniquely influenced farmer stressmigration as farm-size influenced decision to stress-migrate. Study recommends that to reduce farmer-stress migration towards ensuring resilience of rice system under persistent climate change stress in Niger state, the Niger State government should provide incentives to attract more men and educated farmers into rice farming and revisit land related matters to ensure that farmers have access to adequate farm size.
Design and Analysis of Double Tail Comparator using Adiabatic Logic

Nowadays the comparators are most widely used in high speed applications such as analog–to-digital converters which require high speed and low power. Hence the demand of high speed comparators with less delay and power is increasing. This paper presents the use of the double tail comparator for the faster operation with low power even at small supply voltage. A new modified double tail comparator circuit is designed by applying adiabatic logic circuit and also by adding few switching transistors to dynamic double tail comparator circuit. It is shown that in the modified circuit both the power and delay is reduced significantly even in small supply voltage. The design of proposed comparator has preamplifier stage and latching stage which increases the speed of the device. The design is simulated in 0.18um CMOS technology using tanner EDA tools which confirm the analysis results. The major objective of this paper is to reduce the power of modified double tail comparator for high speed application.
Evaluation of the microRNA-328 gene expression in some Iraqi breast cancer women

Breast cancer remains one of worst threats to women's health, and so far there are no proven and appropriate methods for early diagnosis of breast cancer, Its count about 25% of the cancer rate in Iraq. The aim of this study was to identify the expression of microRNA-328 molecules as a biomarker for early detection of breast tumors and detect its relation with clinicopathological characters of patients. Fifty fresh tissue samples were collected from breast patients and 10 samples of normal tissue were collected as a control group, the age rang was 77 to 19 years for patients with benign and malignant breast tumors. Total RNA, including micro miRNAs, were extracted from tissue samples and converted to complementary DNA. The level of microRNA-328 gene expression was measured by the quantitative real time reaction technique (qRT-PCR). The results showed that there were a significant differences in the expression of microRNA328 in benign and tumor breast patients compared with control group depending on tumor site (right) P=0.051. Significant differences in expression of miR328 were found between malignant patients and control group (P=0.033) in age less than 50 years patients. Increase of gene expression miR-328 was associated with carcinomas Lobular patients (P=0.014) compared to control group but there were no significant differences depending on the tumor grade. In conclusion: increase of miR-328 gene expression level in benign lesion and breast cancer can be used as a biomarker for early breast cancer detection.
INFRARED IMAGE SEGMENTATION BASED ON LOCAL STATISTICAL ACTIVE CONTOUR MODEL

Infrared image is widely used in medicine, military field and people’s daily life. Infrared image segmentation is the basis of infrared image processing. In order to analyze other infrared images better, we propose a new segmentation algorithm of infrared image based on local statistical active contour and mathematical morphology. Firstly, the infrared image is processed to enhance the edge and smooth noise of the image; secondly, a novel locally statistical active contour model (ACM) is applied to infrared image segmentation; finally, we combine with mathematical morphology method to study the target and interference body adhesion problem of infrared image in the segmentation. The experiments show that this algorithm can be effectively used for infrared image segmentation
Food Science and Nutrition Technology

Tea, a popular beverage worldwide, is classified into green, oolong and black tea based on the degree of fermentation. Increasing evidence from animal experiments and epidemiologic studies support the properties of tea and its constituent’s for protecting against atherosclerosis, coronary heart disease, stroke, and hypertension. This study demonstrates that potential cardiovascular benefits of consuming tea or tea polyphenols regularly (dose-dependent effect for drinking ≥1 cup of tea daily or weekly).
Performance Evaluation of Several Machine Learning Classification Algorithms with Combined Feature Selection Methods for Sentiment Analysis

: Sentiment analysis (SA) is broadly studied to extract opinions from on line reviews and several methods have been proposed in current works. SA algorithms are used to classifying reviews in positive and negative. SA or machine learning classification algorithms apply directly on online review data sets without using feature selection methods (FSMs) leads poor performance. Towards deal with this problem, we proposed a model to improved performance of sentiment classification methods. This paper investigated performance of five machine learning classification algorithms like Naïve Bayes, k-Nearest Neighbor, Support Vector Machine, Logistic Regression, and Random Forest with different FSMs Unigram, Bigram, Information Gain, Chi-Square, Gini Index. Our method implemented on two data sets, first, electronics product data sets and second, movie review data sets. In starting, applying individually FSMs to extract features then applying combined FSMs to generate feature vector score. The feature selected by their feature vector score ranking. In last, the classification algorithms used popular feature vector for classifying the reviews into positive and negative. The performance measured of the classifier through Precision, recall, and F-measure. The best results achieved by all classification algorithms with the combination of FSMs (Unigram, Bigram, IG, GI, CS), and the highest F-score achieved by RF algorithm.
Review on Saliency-Based Feature Assessment for Color Deficients

The difference in pursuing colors happens because of photo pigments in retinal cones. It is hard to measure the one’s ability to apprehend colored scenes and predict its effects on the behaviours. A method for measure and apprehend information loss and gain based on ability to predict visual scenes is developed here. This method is based on visual salience. A visual salience for color deficient is found out first, the corresponding losses and gains is predicted from comparison of color deficient and normal observer.
Optimized Colorization based Coding on Separated Geometry and Texture

— Due to the rapid growth of multimedia revolution, there is an increasing demand for better image compression techniques. Colorization based coding is a class of image compression technique that uses colorization methods. In the colorization approach, the color values of an image are obtained from a few pixels having color information. The color information of these pixels is propagated to neighboring pixels by colorization methods making the whole image colorized. The encoder chooses the pixels required for the colorization process, which are called RP (Representative Pixels), and maintains the color information only for the RP. Then, the decoder restores the color information for the remining pixels using colorization methods. The main issue in colorization based coding is how to extract the RP such that the compression rate and the quality of restored image becomes good. High visual quality and compression rate can be achieved by formulating RP selection problem into an optimization problem, that is an L1 minimization problem. Another issue in colorization based coding is that the decoded chrominance lose the local oscillation that the original images had. By performing separate encoding for geometry and texture, the visual quality of the reconstructed image can be improved. In this method, the geometry and texture of an image are separated using total variation regularization . The texture components are compressed into coefficients that represent the correlation between luminance and chrominance, and the geometry components are compressed by formulating the RP selection problem into an L1 minimization problem. Thus the image can be compressed with reconstructed image having high visual quality.
A Protected Anti Collection Data Sharing and Secure user Revocation Scheme for Dynamic Groups in the Cloud

: Endorsed from Cloud Computing, clients can achieve a thriving and modest practice for information sharing among gathering individuals in the cloud with the characters of low upkeep and slight administration cost. Then, security authorizations to the sharing information records will be given since they are outsourced. Extremely, due to the never-ending change of the enrolment, sharing information while giving protection saving is still a testing issue, predominantly for an untrusted cloud since of the agreement attack. In accumulation, for standing plans, the security of key dispersion be contingent on the harmless communication channel, then again, to have such channel is a solid feeling and is difficult for practice. A safe route for key dispersion with no safe correspondence channels, and the clients can safely acquire their private keys from gathering administrator is proposed. Besides, the plan can accomplish fine-grained access control, any client in the gathering can utilize the source in the cloud and refused clients can't get to the cloud again after they are rejected.
DOES TQM LEAD TO IMPROVEMENT IN QUALITY PERFORMANCE IN MANUFACTURING FIRMS? -SOME EMPIRICAL EVIDENCE

Total Quality Management is a philosophy that involves everyone in an organization in a continual effort to improve quality and achieve customer satisfaction. There are two key philosophies in TQM. One is a never-ending push to improve and the other is a goal of customer satisfaction which involves meeting or exceeding customer expectations. This study makes an attempt to know the CSFs of TQM and its effect on quality performance, taking manufacturing facilities working in Gujarat. Primary data of the study are collected from 57 ISO 9001 certified facilities belonging to medium and large scale limited Indian companies in manufacturing sector. In this study CSFs of TQM are defined as independent variable and quality performance is defined as dependent variables. Findings show that process monitoring and control, factbased management, employee involvement and customer focus play role in improving quality performance of the organization.