Miracle-dz/UniFAR-FTUs huggingface dataset:
PHYTOCHEMICAL, ANTIOXIDANT AND CYTOTOXICITY STUDY OF THE METHANOLIC EXTRACTS OF LEAVES OF TRAPA BISPINOSA ROXB

About 80% of the population living in rural areas in developing countries depends on traditional medicine for their health care needs. Many of the powerful drugs used in modern medicines originated in plants. Today’s plant-based drugs treat a range of diseases, from headaches to cancer. The objective of the present study was to evaluate phytochemical, antioxidant potential and cytotoxicity of methanolic extract of leaves of Trapa bispinosa Roxb. The phytochemical screening demonstrated the presence of carbohydrates, glycosides, alkaloid, saponins, and tannins. Total phenolic and flavonoid content of the Trapa bispinosa Roxb. extracts was determined by using the FolinCiocalteu reagent and aluminum chloride (AlCl3) method, respectively. Antioxidant activity was evaluated by using 1, 1-diphenyl-2-picryl-hydrazil (DPPH) free radical assay. In DPPH assay, free radical scavenging activity of the extracts was evaluated comparing with ascorbic acid at the wavelength of 517 nm and the IC50 value of Trapa bispinosa Roxb. extracts was found to be 1.58 μg/ml, whereas ascorbic acid showed the value of 1.129 μg/ml. Moreover, it showed moderate reducing power.In case of brine shrimp cytotoxicity assay, LC50 value was obtained to be 2.87 μg/ml. The present study might be extended for the formulation and evaluation of different antioxidant herbal dosage forms. INTRODUCTION: Many diseases are linked with “oxidative stress” that results from an imbalance between formation and neutralization of prooxidants. Oxidative stress is initiated by free radicals, which cause protein and DNA damage along with lipid peroxidation and these changes contribute to various diseases such as cancer, atherosclerosis, cardiovascular diseases, ageing and inflammatory diseases 1 . QUICK RESPONSE CODE DOI: 10.13040/IJPSR.0975-8232.5(10). 4400-05 Article can be accessed online on: www.ijpsr. com DOI link: http://dx.doi. org/10.13040/IJPSR.0975-8232.5(10). 4400-05 To counter pro-oxidants, the body is endowed with another category of compounds called antioxidants which are produced either endogenously or received from exogenous sources 2 . Synthetic antioxidants such as butylated hydroxy toluene and butylated hydroxyanisole have recently been reported to be dangerous for human health. Current research is directed towards finding naturally-occurring antioxidants of plant origin 3 . Trapa bispinosa Roxb. (family Trapaceae) is a small herb well known for its medicinal properties 4 . In Bangladesh, there exists a variety of water chestnut locally known as Paniphal or Singhara. The fruit (nut) of water chestnut is eaten by humans in raw or cooked form 5 .
Screening pre-diabetes and obese women in an early stage of renal dysfucntion from serum 25- hydroxy vitamin D and serum parathormone levels with age, body mass index and fast plasma glucose

It is known that vitamin D may affect renal homeostasis and is inversely correlated with serum parathormone (PTH). We proposed some classes of levels of serum 25hydroxyvitamin D (25(OH)D) and PTH, we wondered whether fast plasma glucose concentrations or less costly criterion as Age or BMI could be used to predict classification of each woman of our cohort in classes of serum 25(OH)D/PTH concentrations. Measurements of serum 25(OH)D and serum PTH were done, among 165 adult African migrants women. ROC analysis was used to identify serum 25(OH)D and serum PTH thresholds. Machine-learning tools were performed to predict classes of 25(OH)D and serum PTH levels from age, body mass index and fast plasma glucose. A threshold of serum 25(OH)D of 50 ± 5 nmol/L and serum PTH of 44 ± 6 ng/L level was found with a sensitivity of 86%, a specificity of 83%. We identified 40% of the sample as forties women, obese and pre-diabetic in an early stage of kidney disorders. Estimation with Fast Capillary Glucose measurement instead of Fast Plasma Glucose could be a less costly method to screen glucose and vitamin D status among migrant women.
Segmentation of Brain Tumor in Magnetic Resonance Images using Various Techniques

: Image Segmentation is the process of partitioning a digital image into non-overlapping distinct regions, so that significant information about the image could be recovered and various analysis could be performed on that segmented image. In this paper, we present an efficient brain tumor segmentation methods, that can detect tumor and locate it in the brain MRI images. The method uses computer aided method for segmentation (detection) of brain tumor based on the three segmentation methods namely K-means clustering, fuzzy C-means clustering, thresholding with morphological operations. K-Means clustering and fuzzy C-means clustering techniques are used for the purpose of segmentation of brain tissue classes which is considered efficient and effective for the segmentation of an image. And thresholding with morphological operations method allows the segmentation (detection) of tumor tissue with high level accuracy and reproducibility comparable to clustering segmentation methods. At the end of the process the tumor is extracted from the MR image, its exact position and some features also determined. It is observed that the experimental results of the thresholding with morphological operations is a very promising in the field of brain tumor segmentation compare with clustering methods.
Implementation and Analysis the Performance of (IDTA) Improved Decision Tree Algorithm on Mobile Services Dataset

: Data mining is a process of extraction of useful information and patterns from huge data. It is also called as knowledge discovery process, knowledge mining from data, knowledge extraction or data /pattern analysis. We present an improved approach to support nearest neighbor queries from mobile hosts by leveraging the sharing capabilities of wireless ad-hoc networks. We illustrate how previous query results cached in the local storage of neighboring mobile peers can be leveraged to either fully or partially compute and verify spatial queries at a local host. The feasibility and appeal of our technique is illustrated through extensive simulation results that indicate a considerable reduction of the query load on the remote database.
An Approach for Adaptive Load Balancing using Centralized Load Scheduling in Distributed Systems

: With the advances in technology, faster growth in the use of computer systems has led to increase in the applications that share the resources there by increasing the amount of load . As the demand for resource sharing applications is grown, load balancing approach has become a necessity factor. In a distributed network, the overall performance of the system depends on the effective division of the workload among all the available set of processing nodes. Load balancing is an approach in which the redistribution of load takes place equally among the set of processing nodes in the system. The main objective is to improve the overall performance there by obtaining the best job response time. In general, classification of load balancing algorithms is done into two major types called static and dynamic. In dynamic, the decentralized approach suffers from the communication overhead because of the exchange of information frequently among the processors. In the existing centralized node based load balancing technique, the workload is assigned randomly to the processing nodes. Once allocated, load balancing conditions is checked at every processing node and the job migration is involved. A centralized node based load scheduling and balancing approach is proposed to overcome the limitations of existing centralized load balancing technique by allocating the random arrival of load among the processing nodes based on FCFS (First Come First Served) scheduling algorithm taking into consideration the current status of every processing node. Here, the load balancing conditions are checked only by the central node to overcome the overhead on the processing nodes. In this approach the transfer of job from one node to another is not done in order to overcome the migration overhead and concentrate much on executing jobs rather than transferring. This job scheduling policy is adaptive that considers the dynamic changes in the system and accordingly schedules and balances the load.
DESIGN & SIMULATION OF CMOS INVERTER AT NANOSCALE BEYOND 20NM

— The two major things, size and power consumption are very important parameter for any digital circuit design. Because all of us want to use the equipments that have compact in size and less power consumption, this paper investigates the applications of CMOS technology in the nanometer regime beyond 20 nm channel length where the relative study of average power dissipation of CMOS inverter is found in nano Watts. With the help of (H-spice) simulation tool, the simulation results are taken at different channel length (45nm 30nm, 20nm, 15nm) using CMOS technology. The results are analyzed at different supply voltages at constant load capacitance (CL =1fF) and values of various internal parameters of CMOS Inverter at different channel length are calculated .
A SURVEY ON BREADTH FIRST SEARCH (BFS) & METROPOLIS HASTING RANDOM WALK (MHRW)

Graph sampling is a technique of selecting a subset of the original graph making the scale small for improved computations. This technique provides an efficient and yet an inexpensive solution. In this paper, we examine Breadth First Search (BFS) and Metropolis Hasting Random Walk (MHRW) graph sampling algorithm and find out which algorithm performs better than the other.
A Novel Test Path Selection Based on Switching Activity and Its BIST Implementation

-This paper describes a longest test path selection based on gate delay and probabilistic approach by considering a path delay in a digital circuit. Various methods on longest test path selection are adopted such as longest transition path, segment coverage and heuristics. Preprocessing of Circuit Under Test (CUT) is done for reducing test time and to achieve low power consumption using BIST implementation. Accumulation of small delay defects on a path is identified by computing probability of particular path to meet the delay constraint. Thus the probability is estimated based on gate delay of each path in a digital circuit. Longest path selection approach is mainly chosen to trace out all the logical elements in the circuit. Delay occurs in the circuit due to various factors such as gate delay, interconnect delay, etc. In proposed method longest test path delay is selected from circuit switching activity which is caused mainly due to gate delay.
PREVALENCE OF METABOLIC SYNDROME AMONG OBESE WOMEN ACCORDING TO THEIR TYPE OF FAT DISTRIBUTION

Objective: Metabolic Syndrome is common among obese individuals. This study aimed to evaluate metabolic syndrome prevalence among obese women according to their upper (android) or lower (gynoid) type of fat deposition. Methods: The study was conducted on five hundred and twenty six women aged between18-60 years who were referred to the Andre Fouda Medical Fundation in Yaounde during multiple chronic diseases screening camps from march 2013 to march 2015. Fat distribution was done according to waist to hip ratio and Metabolic syndrome was diagnosed using Adult Treatment Panel-III (ATP-III) 2001 guidelines. Results: The result showed that mean of age, waist circumference, waist to hip ratio, systolic blood pressure and diastolic blood pressure were significantly higher in women with upper fat distribution while high density lipoprotein cholesterol and hip circumference was significantly lower comparatively to women (P<0.05) with lower fat distribution. The most frequent individual’s components of metabolic syndrome were respectively high waist circumference, low high density lipoproteincholesterol levels and high blood pressure in the two group of women. Metabolic Syndrome was found in (50.19%) women with upper fat distribution and 29.36% in women with lower type of fat distribution. Conclusion: Women with android fat deposition were more prone to metabolic syndrome than women with gynoid fat deposition.
APPLYING DATA MINING TECHNIQUE IN EDUCATION A REVIEW

Applying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining (EDM). It is concerned with developing methods for exploring the unique types of data that come from educational environments. Its goal is to better understand how students learn and identify the settings in which they learn to improve educational outcomes and to gain insights into and explain educational phenomena. Educational information systems can store a huge amount of potential data from multiple sources coming in different formats and at different granularity levels. Each particular educational problem has a specific objective with special characteristics that require a different treatment of the mining problem. The issues mean that traditional DM techniques cannot be applied directly to these types of data and problems. As a consequence, the knowledge discovery process has to be adapted and some specific DM techniques are needed. This paper introduces and reviews key milestones and the current state of affairs in the field of EDM, together with specific applications, tools, and future insights.
Multilabel Associative Text Classification Using Summarization

: This paper deals with the concern of curse of dimensionality in the Text Classification problem using Text Summarization. Classification and association rule mining can produce well-organized as well as precise classifiers than established techniques [1]. However, associative classification technique still suffers from the vast set of mined rules. Thus, this work brings in advantages of Automatic Text Summarization. Since text summarization is based on identifying the set of sentences that are most important for the overall understanding of document(s). These techniques use the dataset to mine rules and then filter and/or rank the discovered rules to help the user in identifying useful ones. Finally, for experimentation, the Reuter-21578 dataset are used and thus the obtained outputs have ensured that the performance of the approach has been effectively improved with regards to classification accuracy, number of derived rules and training time.
Ameliorative Effect of Curcuma longa L. Rhizomes against Biochemical Toxicity Induced by Dichlorvos in Female Albino Rats

July September 2016 1098 JCPS Volume 9 Issue 3 Ameliorative Effect of Curcuma longa L. Rhizomes against Biochemical Toxicity Induced by Dichlorvos in Female Albino Rats Maysaa A. Hadi, Eman H. Hameedi, Naser J. Kadhum, Dhefaf Z. Aziz, Ali H. Al-Saddi, Haider K. Zaidan College of Science, Dept. of Biology, University of Babylon, Iraq College of Science, Dept. of Chemistry, University of Babylon, Iraq College of Science, Dept. of Biology, University of Kufa, Iraq *Corresponding author: E.Mail: mys_adil@yahoo.com ABSTRACT Background/aim: Organophosphorus (OP) compounds contain a heterogeneous types of chemicals particularly designed for the command of pests, weeds or plant diseases. The present study mainly focused on the possible potential chemoprotective role of 20% methanolic extract of Curcuma longa L. rhizomes against biochemical toxicity following dichlorvos exposure for 35 days in albino rats (females). Materials and methods: Female albino rats were divided into four groups of fifth rats each: Group I served as control. Group II was administered orally with dichlorvos (DDVP) 10 mg/kg body weight. Group III received 20% methanolic extract of C. longa L. rhizomes 500 mg/kg body weight. Group IV received both DDVP 10 mg/kg body weight plus 20% methanolic extract of C. longa L. rizhomes 500 mg/kg body weight. All animals were scarified after 35 consecutive days of the beginning of the experiment. Samples of blood were taking for biochemical analysis which include total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), very low-density lipoprotein cholesterol (VLDLC), triglycerides (TG), total proteins (TP), and urea concentrations. Results: The data of present study demonstrated that plasma total cholesterol, triglycerides, and HDL-C concentrations were non-significantly increased whereas the LDL-C level significantly increased (p<0.05) by DDVP treatment. Also, non–significant differences was seen in VLDL-cholesterol concentration between groups. Total proteins concentration was significantly reduced (p< 0.05) compared with the control animals. Furthermore, renal markers such as urea concentration were significantly (p< 0.05) increase in DDVP treated rats. Co-administration of 20%methanolic extract of C. longa L. rizhomes was able to restore all the parameters were studied to near-normal values. Oral feeding of 20% methanolic extract of C. longa L. to DDVPtreated female rats at the dose of 500mg/kg body weight caused significant (p<0.05) decreasing of elevated parameters compared with DDVP group. Female rat treated with 20% methanolic extract of C. longa L. alone did not exhibited any significant differences. Conclusion: Treating rats with 20% methanolic extract of C. longa L. rizhomes caused improvement of DDVP negative effects on serum lipid profile, total protein and urea concentrations in comparison with control group.
EVALUATION OF THE EFFICACY OF COMBINATION THERAPY OF DULOXETINE AND LAMOTRIGINE IN THE TREATMENT OF BIPOLAR DEPRESSION

Objective: To evaluate the therapeutic effects of lamotrigine, an antiepileptic mood stabilizer, when used alone and in combination with duloxetine (SNRI) in treating bipolar depression, at different doses of lamotrigine. Materials and methods: Mice were divided randomly into six groups. Intra-peritoneal treatment of normal saline (0.9%NaCl), duloxetine (10 mg/kg), lamotrigine (30 mg/kg), three combination groups i.e.,duloxetine (5mg/kg) + lamotrigine (10mg/kg), duloxetine (5mg/kg) + lamotrigine (15mg/kg), duloxetine (5mg/kg) + lamotrigine (20mg/kg), were given to groups I-VI, respectively. The immobility period was analyzed 30 min after the treatment from forced swim and tail suspension tests. The amount of sucrose consumed was estimated using Sucrose preference test. Results: The combination of duloxetine and lamotrigine given in the doses of 5mg/kg and 15mg/kg respectively, exhibited antidepressant activity by decreasing immobility time and increasing the amount of sucrose consumption in stressed mice as compared to lamotrigine monotherapy and other combinations used. Conclusion: Combining duloxetine (5mg/kg) and lamotrigine (15mg/kg) could be a better treatment option for bipolar depression owing to its greater efficacy over lamotrigine monotherapy and as it shows significant antidepressant-like effects.
WORKFLOW SCHEDULING PROCESS USING ENHANCED SUPERIOR ELEMENT MULTITUDE OPTIMIZATION IN CLOUD

: Abstract—Cloud computing is the latest distributed computing paradigm and it offers tremendous opportunities to solve large-scale scientific problems. However, it presents various challenges that need to be addressed in order to be efficiently utilized for workflow applications. Although the workflow scheduling problem has been widely studied, there are very few initiatives tailored for cloud environments. Furthermore, the existing works fail to either meet the user’s quality of service (QoS) requirements or to incorporate some basic principles of cloud computing such as the elasticity and heterogeneity of the computing resources. This paper proposes a resource provisioning and scheduling strategy for scientific workflows on Infrastructure as a Service (IaaS) clouds. We present an algorithm based on the meta-heuristic optimization technique, particle swarm optimization (PSO), which aims to minimize the overall workflow execution cost while meeting deadline constraints. Our heuristic is evaluated using CloudSim and various well-known scientific workflows of different sizes. The results show that our approach performs better than the current state-of-the-art algorithms.
EEPR-OLSR: An Energy Efficient and Path Reliability Protocol for Proactive Mobile Ad-hoc Network Routing

: Routing in Mobile Ad-hoc Networks has received a lot of attention due to the challenges posed by the self-organizing nature of the network, the dynamic topology, and the unreliable wireless medium. One of the most critical issues for MANETs is how to increase network lifetime, since nodes are typically battery powered. In this paper we consider the proactive MANET protocol OLSR to improve the network lifetime, we propose a novel multiple metric routing scheme for MANET, based on energy efficient and path reliability metrics, integrating it to standard OLSR, named Energy Efficient and Path Reliability OLSR (EEPR-OLSR), in which we investigate cross layer parameters that effect the network lifetime and a prediction-based link availability estimation is introduced. Simulation results, by NS3 simulator, show that the proposed EEPR-OLSR provides significant performance gains in both the network lifetime and packet delivery ration (PDR), compared to the standard OLSR.
Optimal Grayscale Visual Cryptography using Error Diffusion to Secure Image Communication

With the emergence networks, accessing the multimedia information over the network is increased. Hence securing such information is the most important issue in communications. The traditional cryptography techniques encrypt the image, which was more difficult, time-consuming and tedious process. Visual cryptography (VC) is a special type of secret sharing scheme which hides secret images in shares such that, when the shares are superimposed, a hidden secret image is revealed. It does not require complex computational method to decode the secret information. The scope of proposed Optimal Grayscale Visual Cryptography (OGVC) affords a friendly situation to deal with images. OGVC uses two techniques, namely Error Diffusion and inverse halftoning to covert gray scale to binary and vice versa. While sharing the share images, the chance of guessing for an intruder is considerably reducing. Thus it provides an extra layer of security to the images while transferring. The experimental result shows that the proposed OGVC scheme provides robustness, high quality and less computational complexity.
Serial ultrasonographic evaluation of diaphragm thickness during mechanical ventilation in ICU patients

Objective: Serial ultrasonographic assessment of the effect of different modes of mechanical ventila-tion on diaphragmatic thickness and consequently its effect on weaning of mechanical ventilation, total ventilatory days, ICU stay and mortality. Patients and methods: This study was carried out on 67 mechanically ventilated adult patients of both genders who were admitted to Critical Care Medicine Department in Alexandria main university hospital over a period from 1/4/2014 to 30\9\2014. All patients were subjected to complete medical and surgical history taking, complete physical examination and daily ultrasonographic assessment of diaphragmatic thickness. Results: Diaphragmatic atrophy was detected in 15 patients (78.9%) of patients on CMV, 14 patients (60.9%) of patients on assisted MV in comparison to only one patient (4%) of patients on spontaneous MV (P<0.001). Patients who developed diaphragmatic atrophy had a mean total ventilatory days 7.23 ± 2.39 days, mean ICU stay 9.08 ± 2.91 days, mortality rate 16.7%, primary weaning failure rate 52% and secondary weaning failure rate 36% while Patients who did not develop diaphragmatic atrophy had a mean total ventilatory days 4.32 ± 2.44 days, mean ICU stay 7.59± 2.63 days, mortality rate 8.1%, primary weaning failure rate 5.4% and secondary weaning failure rate 5.4%. (P1 < 0.001 P2 = 0.03 P3 = 0.451 P4 <0.001 P5 <0.001 respectively). Conclusion: Mechanical ventilation induces diaphragmatic atrophy which is significantly higher with controlled and assisted mechanical ventilation modes than spontaneous modes. Ventilator induced diaphragmatic atrophy is associated with higher rates of primary and secondary weaning failure, more ventilatory days, longer ICU stay.