Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety Assessment of the Antimicrobial Lipopeptides Synthesized by Bacillus subtilis Subsp. subtilis CBMDC3f

Bacillus subtilis subsp. subtilis CBMDC3f produces lipopeptides with strong antibacterial activities that were previously identified by UV-MALDI-TOF mass spectrometry as different surfactin homologues. In this work, the potential toxic effects of those lipopeptides were explored on BALB/c mice. The following samples of CBMDC3f antimicrobial metabolites were evaluated: cell-free supernatant (CFS) and purified lipopeptides fractions (LF), at different concentrations: 25, 125 and 250 mg/Kg of body weight (LF25, LF125 and LF250 groups, respectively). As a measure of hepatocellular toxicity, the serum enzymes (GOT and GPT transaminases) concentrations and liver and intestine histological analyses were performed. Values of GOT and GPT enzymes did not reveal significant changes as a result of the treatments. The histological analysis showed some signs of liver injury when CFS was administered; however, the liver injury in CFS-treated mice was significantly milder than those observed in the LF250 group. CFS, LF25 and LF125 treatments did not produce histologic changes in the small intestine. These results indicate that surfactins present in the LF of B. subtilis subsp. subtilis CBMDC3f would not produce cytotoxic effect on liver or small intestine of mice when administered at concentrations between 25 and 125 mg/Kg of body weight. Considering that the concentrations of CBMDC3f lipopeptides able to exert the anti-Listeria monocytogenes and anti-Staphylococcus activities are significantly lower than those with toxic effects; the results of this work indicate that CBMDC3f lipopeptides are promising for their application in food protection.
Database Security by Preventing SQL Injection Attacks in Stored Procedures

– With widespread adoption of the Web as an instant means of information dissemination and various other transactions, including those having financial consequences like e-banking, e-shopping, online payment of bills etc, we are becoming more and more dependent on web applications. An unauthorized access to this much of confidential data by a crafted user can threat their confidentiality, integrity, and authority. As a result, the system could bear heavy loss in giving proper services to its users or it may face complete destruction. Sometimes such type of collapse of a system can threaten the existence of a company or a bank or an industry. SQL Injection attacks are one of the most dangerous security threats to web applications. Several researchers have proposed several ways to prevent SQL injection attacks in the application layer but very little emphasis is laid on preventing SQL Injection attacks in stored procedures in the database layer. In this paper a novel technique to prevent SQLIA in stored procedures is proposed. This technique provides a two phase security to the application, so that, if one phase is compromised, the second phase can still prevent the attack.
Approximation of Variable Cost for the Voltage Support

Volume 2, Issue 12, December 2013 Page 403 Abstract In this article the cost for the voltage support of the generators from a fixed cost and a variable cost is determined. The variable cost is formed by two components: the losses of opportunity cost and the dependent cost of the operating conditions of the generator. The second component of the variable cost sets out to determine from a variable called  which is in function of the active and reactive power generated, considering the capability curve. The simulations are done in the five nodes.
A Framework for the Tantamount entity mining from Provisional Questions

— Human choice creation development is an archetypal portion while associating single entity through additional article, acquisition outline throughout connected. Separate might not winnings a formation destitute of connecting towards to additional single and then that one is too not tariff, a model performance it won’t bounce. In this paper we contemporary a perfect technique aimed at exigently equivalent objects after comparative queries that are despatched through the operator connected. Towards improving the exploration involvement the situation stretches an opening through exigently contribution resemblance to consumer. Aimed at great connected enquiry documentation we obligate a bootstrapping oversaw procedure is occupied at this period intended for comparative interrogation credit and then equivalent object concentration through gathering. Cutting-edge this we are as long as consumer to add new characteristics of their attention towards to the explanation procedure, novel characteristics info can be repossessed through the subsequent exploration. Connected spending method container is outdoing the current scheme.
Bio-activity guided fractionation and antimicrobial screening of active fractions from Dioscorea alata

Dioscorea alata L. Commonly known as Water yam and Betel yam and purple yam it contains about 600 species distributed throughout in the world, but mostly in tropical region. Many species of Dioscorea genus are economically important crops of worldwide and many of them have been used in the pharmaceutical industry. In vitro propagation of Dioscorea species pave the way to meet the demand of this economically important plant. This review summarizes some of the important reports on phytochemical tests and Evaluation of cold methanol extract of Dioscorea alata for anti-microbial screening. The medicinal plants used in the treatment of antimicrobial activity are possibly rich sources of potential lead compounds. Chromatographic separation of cold methanol tuber extract of Dioscorea alata are inhibiting the growth of S. aureus, S. pyogens, T. rubrum, T. mentagrophytes, F. flocussum, Candida albicans at> 250 μg/ml whereas against P. acne, it is inhibiting the growth at 62.5 g/ml. A semipreparative work needs to be carried out by using ZIC-HILIC column to isolate active constituent from D. alata tubers, which shown promising activity against P. acne.
AN OVERVIEW ON IOT ENABLING TECHNOLOGIES

: This paper provides an overview on Internet of Things (IoT) enabling technologies (various protocol, standards etc.). The recent adoption of a variety of enabling Wireless communication technologies such as RFID tags, BLE, ZigBee, etc. and embedded sensor and actuator nodes, and various protocols such as CoAP, MQTT, DNS etc. have made IoT to step out of its infancy. Now smart sensors can collaborate directly with machine without human involvement to automate decision making or to control a task. This paper starts by providing a horizontal overview of the IoT. Then, we give an overview of some technical details that pertain to the IoT enabling technologies, embedded systems, protocols, and applications .
Patients with Dementia Assessing their Quality of Life

In Greek, the term “dementia” equals to the word “anoia” which includes an alpha privative and the word mind [1]. According to Alzheimer Atlas of Disease: ‘‘Dementia is the term that describes the loss of cognitive abilities in a variety of areas of cognitive functioning, such as memory, reason, executive functions and visual-auditory skills. It is so severe that it interferes with one’s daily, professional and social activities’’ [2]. The term does not refer to a single disease, but to a set of chronic diseases that are the result of the atrophy of the Central Nervous System. Brain neurons are constantly degenerating, resulting in large areas of atrophic cerebral cortex; in the final stage, the brain may often weigh less than 1000g [3].
ENABLING SECURITY VALUES FOR IoT APPLICATIONS FROM VARIOUS CLOUD ATTACKS USING SOFT COMPUTING TECHNIQUES

The Internet of Things (IoT) is advancement for user groups those whoever heavily using the web sources and applications. IoT deployment has been widely adopted in the heterogeneous environment for enhancing the digital applications. Though, it will have a significant economic potential, but it also gives malicious actors an ever-expanding toolbox for cyber attacks. Intruder’s entry and attacks ratio is increasing day-by-day. Physical and digital threats are increasing in different user regions tremendously. Application and process specific functions are used in the different IOT sensors. While using the services from the service provider end numbers of attacks are created by the intruders. IoT platform will provide the service level usages and application specific functional values to the client. However, securing the IoT applications is essential from the distinct cloud attacks by applying the technological process and components to solve the issue. The proposed system will brings solution for protecting the IoT applications.
Analysis And Detection of Ridge Ending For Person Identification System

:- Palmprint recognition is an effective biometric authentication method.The palmprint itself consist of principal lines , wrinkles , ridges, valleys, etc. This paper establishes correspondence between two palmprints based on ridge ending and ridge bifurcation points. Palmprint images were collected from COEP database which consist of 167 persons palmprint images. The absolute aim of this project is an attempt to design such a system that can bring out an efficient authentication system for Palm print recognition.
Hormonal Changes in Relation to Productivity of Pregnant Rabbit Does.

Pregnancy is a critical period for animals where it undergoes many physiological changes including hormones, which are not received a great attention in rabbit. Therefore, a total number of 25 New Zealand White pregnant rabbit does were used, to assess the changes in concentration of relevant hormones in relation to rabbit productivity. Blood samples were collected on 14, 21 and 28 days of pregnancy and on kindling day to quantify six maternal hormones. Litter size and weight, in addition to average of weekly and total milk yield were determined. Concentrations of the six hormones during the second half of pregnancy ranged between 3.2 to 4.0 ng/ml for progesterone (P4), 47.3 to 89.0 pg/ml for estrogen (E2), 2.0 to 3.7 ng/ml for prolactin (PRL), 114.5 to 136.8 ng/ml for insulin like growth factor-I (IGF-I), 36.0 to 39.2 ng/ml for thyroxine (T4) and 1.9 to 2.2 ng/ml for triiodothyronine (T3). The corresponding values on kindling day were 1.6 ng/ml, 26.8 pg/ml, 4.6 ng/ml, 131.6 ng/ml, 37.4 ng/ml and 0.9 ng/ml, respectively. At day 14, maternal P4, E2, PRL, T4 and T3 were the lowest, whereas IGF-I was the highest compared to the other two days of pregnancy. At day 28, levels of E2, PRL, T4 and T3 were the highest in comparison with days 14 and 21 of pregnancy. On kindling day, P4 and T3 showed the minimal levels, whilst PRL exhibited the maximal level compared to the levels at all the gestational days. The relationship among the different hormones had various trends. The average of total milk yield (129.9 g/d) was negatively correlated with both P4 and E2, and positively associated with the PRL, IGF-I, T4 and T3 hormones. Furthermore, litter size was positively related with P4, E2 and PRL, and negatively with T4, T3 and IGF-I. Whereas, litter weight was negatively correlated with P4, E2 and T4. We recommend giving more attention to the rabbit doe reproduction, particularly close to parturition to achieve good economical return. However, further studies are urgently needed in this area.
ALTERATIONS IN BMI, BLOOD PRESSURE EXERCISE WITH ONE TO THREE TIMES PER WEEK WITH SOMEONE WHO DO NOT EXERCISE IN STUDENTS OF TEHRAN MEDICAL BRANCH OF AZAD UNIVERSITY, 2011

Background and Aim: These days, no one can dispute the fact that, in addition to positively affecting physical health, exercising also has the same effect on people’s mental health. Given that young male and female university students, as the young academic population, play a substantial role in the health and well-being of any society, the present study investigated the differences in BMI and blood pressure in students who exercised for four and a half months one to three times a week in comparison with students who did not exercise in Islamic Azad University of Medical Branch of Tehran in 2016. Methods: In this case-series study, 100 students from Islamic Azad University of Medical Branch of Tehran who had entered the university in 2011 were randomly selected for the study and were investigated. The participants’ demographic information and their history of diseases were gathered through a researcher-developed questionnaire, and their blood pressure was measured. BMI and blood pressure were measured and compared in the three groups after four and a half months of exercising. The data collected were analyzed by SPSS version 18 through using descriptive-analytical statistics and chi-squared statistical test (X2 test). Results: Of the 100 participants in the study, 50 students were female, and 50 were male. Forty-eight percent of the participants did not exercise, 34% exercised once a week, and 18% exercised three times a week. The mean blood pressure change before exercising was 2.2 for systolic, and 1.45 for diastolic blood pressures and the mean BMI change was 0.6 kg/m2. Conclusion: The differences in the mean amounts for these three indexes before and after exercising were shown to be statistically significant (P=0.0001). furthermore, the amount of change in BMI and blood pressure differed based on the amount of exercise, in a way that the highest amount of change was for participants who exercised three times a week .
Green synthesis of ZnO nanoparticles by Calotropis Gigantea

Present study focuses on the green synthesis of ZnO nanoparticles by zinc nitrate and utilizing the bio components of leaves extract of Calotropis Gigantea. The ZnO nano crystallites of average size range of 30-35 nm have been synthesized by rapid, simple and ecofriendly method. Zinc nanoparticles were characterized using scanning electron microscopy (SEM) and X-ray diffraction (XRD). The particles obtained are spherical in nature and are agglomerates of nanocrystallite. The X ray patterns show hexagonal crystal type for ZnO. The results coincide with literature XRD pattern for hexagonal wurtzite ZnO. The size of nano crystallites is calculated by considering XRD data by DebyeScherrer’s Formula.
STUDY THE EFFECT OF METAL OXIDE (ZnO) NANOPARTICLES ON ROOT ANATOMY OF MAIZE (Zea Mays)

An increasing need of nanotechnology in various industries may cause a huge environment dispersion of nanoparticles in coming years. A concern about nanoparticles interaction with flora and fauna is raised due to a growing load of it in the environment. Rapid development and wide applications of nanotechnology brought about a significant increment on the number of engineered nanomaterials inevitably entering our living system. Plants comprise of a very important living component of the terrestrial ecosystem. Studies on the influence of engineered nanomaterials on plant growth indicated that in the excess content, engineered nanomaterials influences plant growth parameters. Therefore, this study revealed that the ZnO nanopartciles and their interactions with plant species affect the anatomical structure of maize and also observed the shrunken morphology of root at higher concentrations of nanoparticles.
Effects of stubborn decision-makers on vaccination and disease propagation in social networks

In this study, we investigate how the presence of 'stubborn' individuals affects other individuals' vaccination behaviour with regard to the spread of infectious disease in a lattice populations and a Barabasi-Albert scale-free network. (In this context, 'stubborn' individuals are those who are intransigent about their own vaccination strategy). To meet this research objective, we develop a combined model that is constructed from epidemiological and vaccination dynamics and is based on adaptive imitation behaviour. With regard to preventing disease propagation, the stubborn vaccinated individuals act as 'good role models', as they always take vaccines, whereas the stubborn unvaccinated individuals, in contrast, act as 'bad role models', as they always refuse vaccines. As a result, which stubborn individuals are more influential among the full population in terms of voluntary vaccination behaviour depends not only on their proportion within the population, but also the network structure and the cost of vaccination.
Investigation and Review of Efficient Method for Multiple Protein Network’s Pairwise Alignment

-Since from last decade, there is rapid growth in the availability of data over the protein-protein interaction (PPI) networks considering the various species like human, fly, bacteria, yeast and worm. As we know that, one of the highly impacted approach for protein networks is that their comparative analysis which has already gain many researchers attention specially for the predicting the network structure, protein function as well as interaction. The major challenge for execution of this approach is to present robust algorithm for multiple network alignment. In this review paper, we are first presenting the literature review over the network alignment problems and querying problems. In the literature we are also discussing different PPI networks and their alignment problems. Further our main aim is to investigate the algorithm which is presented for efficient, fast with more accuracy pairwise alignment of multiple protein networks. Here we considering the proposed approach is work with novel representation of multiple protein networks those are having linear size. From the experiment and results observations, we found that this approach is more efficient and fast as compared to previous studies for multiple protein networks.
Human Gait Identification using Depth Gradient Histogram Energy Image

Earlier work where we evaluated how traditional Gait Energy Image (GEI) can be used to identify human gait and eventually human ID. However, we also witnessed how inaccurate segmentation (due to unclear foreground-background boundary, human walking direction w.r.t camera axis etc.) may disturb the overall identification performance. To overcome this limitation, present work focuses on using edge and depth gradients extracted from 3D depth data of human gaits. In this paper, first, brief survey of various approaches is outlined. Then promising feature called Depth Gradient Histogram Energy Image (DGHEI) obtained by Histogram of Oriented Gradients (HOG) is presented. Paper also covers performance comparison between 2D GEI and 3D DGHEI based clue to identify human gait.
EC PHARMACOLOGY AND TOXICOLOGY Comprehensive Review Fumonisins: Effects on Human and Animal Health and Mechanisms of Toxicity

Fumonisins, a group of closely related mycotoxins produced by a number of Fusarium and Aspergillus species, have been associated with a number of diseases in humans and animals. Fumonisin B1 (FB1) is the most prevalent of all of the naturally occurring fumonisins. They are structurally related to cellular sphingolipids and have been shown to inhibit sphingolipid biosynthesis via the ceramide synthase pathway. Cellular mechanisms involved in fumonisin-induced toxicity include the induction of oxidative stress, apoptosis, and cytotoxicity, as well as alterations in cytokine expression. Fumonisin production by Aspergillus niger, which is a widely occurring food contaminant and an important organism in the biotechnological industry, raises concerns about the widespread presence of fumonisins in food and feed and is expected to have important implications for biotechnology and food safety. Larger quantitative surveys of the occurrence of fumonisins in Aspergillus and Fusarium-infected food and feed products, as well as in biotechnology products produced by Aspergillus species, are warranted. This article presents an overview of the mechanisms of action of the fumonisins and their toxic effects in humans and animals.
Developmental significance of early gut-associated lymphoid tissue (GALT)-microbiota interactions in health and disease: Creating balance between tolerance and inflammation in children

The establishment of gut microbiota in humans does not occur randomly but develops after birth through highly organized interactions between microorganisms, the immune processes orchestrated by the Gut-Associated Lymphoid Tissue (GALT), and a selective absorption to the blood regulated by the Gastrointestinal-Blood Barrier (GIB). In term infants, the initial colonization of gut microorganisms depends on the maturation of the GALT and critical closure of GIB and these interactions lead to the establishment of symbiotic conditions defi ned as a balance between immunity and infections. In preterm infants, development of the GALT is less complete at birth, and the GIB closure is delayed, both of which impact gut microbiota colonization resulting in dysbiosis. Early developmental dysbiosis may underlie non-infectious diseases such as allergies, autoimmune diseases, or infl ammatory bowel diseases and contribute to the pathology of neurodevelopmental disorders. This review focuses on the developmental signifi cance of GALT microbiota interaction while comparing preterm and term infants. It concludes with the premiss that the developmental dysbiosis may have both shortand long-term impact on human health. Review Article Developmental signifi cance of early gut-associated lymphoid tissue (GALT)microbiota interactions in health and disease: Creating balance between tolerance and infl ammation in children Kaja Kasarello1 and Elzbieta M Sajdel-Sulkowska1,2* 1Departament of Experimental and Clinical Physiology, Laboratory of Centre for Preclinical Research, Medical University of Warsaw; 1b Banacha Street, 02-097 Warszawa, Poland 2Department of Psychiatry, Harvard Medical School, 75 Francis St, Boston, MA 02215, USA Received: 29 October, 2019 Accepted: 15 November, 2019 Published: 16 November, 2019 *Corresponding authors: Elzbieta M Sajdel-Sulkowska, Department of Psychiatry, Harvard Medical School, 75 Francis St, Boston, MA 02215, USA, E-mail:
LEAST SQUARES UNIVERSUM TSVM

Supervised learning problem with Universum data is a new research subject in machine learning. Universum data, which are not belonging to any class of the classification problem of interest, has been proved very helpful in learning. For data classification with Universum data, a novel quick classifier is proposed in this paper and named as least squares Universum twin support vector machine (LS-U-TSVM). The main advantage of the proposed method is that the running time is shorten greatly by using least squares technique. Experiment results indicate that the proposed LSU-TSVM is an effective and competitive classifier for data classification with Universum data
Study of Fault Predictions in Open Source Software

— In this review paper, it is intended to summarize the Columbus framework for computing object-oriented metrics and these metrics are used to measure the quality of the open source software projects and also used to analyze and compare the results with the different versions of open source software projects. In particular, the CK (Chidamber and Kemerer) metrics suite and Columbus framework with compiler wrapping technology were studied and metrics are used to compare the results of several versions of Mozilla. It present the initial set of findings to validate the usefulness of CK metrics for predicting fault proneness in the software.
A Comparative Analysis between K –Means & EM Clustering Algorithms

: This thesis is concerned with comparative analysis of the K -means and EM algorithms as clustering approaches in order to cluster the students and their results to evaluate the department’s performance. Furthermore, the thesis turned to investigate the use of the so-called association rules task, with particular emphases on the K-means algorithm.