Miracle-dz/UniFAR-FTUs huggingface dataset:
A NOVEL ANTI PHISHING FRAMEWORK BASED ON VISUAL CRYPTOGRAPHY

: Phishing is one of the attacks that became popular recently. It is an identity theft attempt in order to obtain confidential and private information of individuals or companies for monetary or other gains. In the recent part there were many reports on phishing attack in many financial domains including banking. It has become a serious threat to enterprises that deal with financial transactions. If these threats are not addressed thoroughly, people can’t trust online transactions that involve due authentication through credentials. Many solutions came to solve this kind of identity theft. Recently James and Philip proposed a new approach based on visual cryptography to address the issue of phishing. This will automatically preserve the privacy of captcha. It achieves this by dividing the original image into two shares which are to be stored in different databases. The decryption is possible only when adversaries can provide both shared at a time. The individual shares can’t reveal the original captcha. In this paper, we implement the visual cryptography using C# programming language for building an anti-phishing framework. The experimental results revealed that the proposed application is secure and can prevent phishing attacks.
Prediction Of Diabetes Using Soft Computing Techniques- A Survey

: Neural Networks are one of the soft computing techniques that can be used to make predictions on medical data. Neural Networks are known as the Universal predictors. Diabetes mellitus or simply diabetes is a disease caused due to the increase level of blood glucose. Various traditional methods, based on physical and chemical tests, are available for diagnosing diabetes. The Artificial Neural Networks (ANNs) based system can effectively applied for high blood pressure risk prediction. This improved model separates the dataset into either one of the two groups. The earlier detection using soft computing techniques help the physicians to reduce the probability of getting severe of the disease. The data set chosen for classification and experimental simulation is based on Pima Indian Diabetic Set from (UCI) Repository of Machine Learning databases . In this paper, a detailed survey is conducted on the application of different soft computing techniques for the prediction of diabetes. This survey is aimed to identify and propose an effective technique for earlier prediction of the disease.
Proposal for classification of angular deformities of the knee in black African children

Purpose: Angular deformities of the knee in children are the main complaints in our hospital service and accounts for 13.2%. Several classifications have been proposed in the past. However, there is no known clinical classification that enables to typify the deformities in the entire varus and valgus. The present study aimed to propose a simple classification that can be used even by non-specialists like in African milieu. Methods: We reviewed the clinical records of 2711 children with deformities of the knee that were followed up in our centre during 10 years. Clinical and radiological angular measurements of the knees were analyzed. There were 1512 boys for 1119 girls, with an average age of 3.5 years. Results: Out of this, 58.79% presented with genu valgum (Type I) and 30.35% presented with genu varum (type II). A combination of genu valgum and genu varum accounted for 10.84% of the deformities (type III). This was however sub classified based on the affected side, age and severity. Conclusion: Our results are discussed in the light essentially few African studies published on the subject. The present classification which has the advantage of being simple and thus easily understandable is also helpful in treatment. Correspondence to: Farikou Ibrahima, Department of Surgery and Specialties, Faculty of Medical and Biomedical Sciences, University of Yaoundé I, Yaoundé, Department of Orthopedic of Orthopedic Surgery, Douala General Referral Hospital, Douala, Cameroon, Tél: (237) 699870267, E-mail: ifarikou@hotmail.com\
ON VARIOUS TECHNIQUES IN OFDM AND GFDM: A SURVEY

: Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation that divides the available spectrum into a finite number of carriers and applied into a digital transmission system. But it has some drawbacks such as sensitivity in inter-carrier interference, high peak to average power ratio and insufficient cyclic prefix in spectrum. These drawbacks may be reduced by a technique known as Generalized Frequency Division Multiplexing (GFDM). In the present scenario, it is a high speed multi-carrier multiplexing data transfer scheme for the cellular network. This paper deals with a comparison between OFDM and GFDM and focuses on various techniques in OFDM and GFDM.
ADH: Alcohol Dehydrogenase; ADHD: Attention Deficit Hyperactivity Disorder; BD: Bipolar Disorder; Ct: Threshold Cycle; DE: Differentially Expressed; FC: Fold Change; FDR: False Discovery Rate; GAPDH: Glyceraldehyde-3-Phosphate Dehydrogenase; GEO: Gene Expression Omnibus; GO: Gene Ontology; KEGG: Kyo

Bipolar disorder is a severe, lifelong psychiatric disease. The main underlying pathophysiology of the disease is still incomprehensible. Various studies have suggested that many genes of small impact in combination with environmental factors contribute to the expression of the disease. In this study comparative transcriptomic profiling to characterize skin fibroblasts’ gene expression of bipolar disorder patients compared to healthy controls has been performed. Skin fibroblast cells from bipolar disorder patients (n=10) and healthy controls (n=5) have been cultured. RNA was extracted and then hybridized onto Illumina Human HT-12 v4 Expression BeadChip. Differentially expressed genes between bipolar disorder samples and healthy controls were identified by performing unequal t-test on log2 transformed expression values. The resulting gene list was obtained by setting the p-value threshold to 0.05 and by removing genes that presented a fold change ≥ |0.5| (in log2 scale). We concluded to 457 differentially expressed genes. Among them 127 showed an upregulation and 330 were downregulated. Τhe expression alterations of selected genes were validated by quantitative real-time polymerase chain reaction. In order to derive better insight into the biological mechanisms related to the differentially expressed genes, the lists of significant genes were subjected to pathway analysis and target prioritization indicating various processes such as calcium ion homeostasis, positive regulation of apoptotic process and cellular response to retinoic acid. *Corresponding authors : Fragiskos Kolisis, Biotechnology Laboratory Faculty of Chemical Engineering, National Technical University of Athens, 15780 Athens, Greece; Tel: +30 210 7723156; E-mail: kolisis@chemeng.ntua. gr Nikolaos Venizelos, Department of Clinical Medicine, School of Health and Medical Sciences, Örebro University, SE-701 82 Örebro, Sweden; Tel: + 46 19-30 10 28; E-mail: nikolaos.venizelos@oru.se Received September 25, 2015; Accepted November 16, 2015; Published November 23, 2015 Citation: Logotheti M, Papadodima O, Chatziioannou A, Venizelos N, Kolisis F (2015) Gene Expression Analysis of Fibroblasts from Patients with Bipolar Disorder. J Neuropsychopharmacol Mental Health 1: 103. doi:10.4172/2472-095X.1000103 Copyright: © 2015 Logotheti M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation: Logotheti M, Papadodima O, Chatziioannou A, Venizelos N, Kolisis F (2015) Gene Expression Analysis of Fibroblasts from Patients with Bipolar Disorder. J Neuropsychopharmacol Mental Health 1: 103. doi:10.4172/2472-095X.1000103
A Comparative Study Of Impulse Noise Reduction In Digital Images For Classical And Fuzzy Filters

Efficient impulse noise removal is an important issue in image processing. It is caused error in the data communication generated in noisy sensors or communication channels or by error during the data capture from digital cameras, scanning i.e. one form of image is converted to another form. In this paper we review on generalized classical and fuzzy filters for good impulse noise reduction, analysis and compare the various filter performance such as mean square error, peak signal to noise ratio as well as in terms of visual quality and low execution time.
Path Planning, Dynamic Trajectory Generation and Control Analysis for a Wheeled Mobile Robot Using Nonlinear PID Neural based on Optimization Algorithm

: Robot manipulators takes on ever more important roles on the factory ﬂoors around the world. They have been useful for relieving humans of simple repetitive and hazardous work. One of the problems with existing robot installations are limited ﬂexibility. The robots must be reprogrammed by a human operator when the environment changes. The goal of this paper is to presents a trajectory tracking control algorithm for a nonholonomic wheeled mobile robot using optimization technique based nonlinear PID neural controller in order to follow a pre-defined a continuous path. Particle swarm optimization algorithm is used to tune the nonlinear PID neural controller's parameters to find best velocity control actions for the mobile robot. Nonlinear PID neural controller is built and implemented in MATLAB software package and it is succeeded to solve the trajectory tracking problem of mobile robot. Simulation results show the effectiveness of the proposed nonlinear PID control algorithm; this is demonstrated by the minimized tracking error and the smoothness of the velocity control signal obtained
Edge detection of Grey Scale Images based on Multi-Structure Elements Morphology

-Edge detection is an important pre-processing step in image analysis. Conventionally, Mathematical morphology edge detection methods use single and symmetrical structure elements. But it is difficult to detect complex edge feature with these structure elements, because they are only sensitive to image edges which have the same direction of structure elements. This paper proposed a novel edge detection algorithm based on multi-structure elements morphology of eight different directions. We got five different edge detection results, then opening, closing, top hat transform and bottom hat transform is used to get final results. The experimental results showed that the proposed algorithm is more efficient for edge detection than conventional mathematical morphological edge detection algorithms and differential edge detection operators.
The Significance of Clinical Follow-up of Fissure Sealants: A Mini Review

Pits and fissures on the occlusal surfaces of the teeth are the most susceptible to caries development [1]. First permanent molar is the early erupting teeth in permanent dentition. The process these teeth are susceptible to caries is the long-term eruption period. During this process, the enamel is not be maturated completely, and generally, parents are unaware the just erupting new teeth. Furthermore, it is difficult for children to brush the all surface of new erupting teeth effectively. They are exposed to caries development due to the early eruption and also the complex morphology [2]. Abstract
Antidiabetic effect of fermented Pennisetum glaucum (millet) supplement in alloxan induced hyperglycemic wistar rats

Diabetes mellitus is a debilitating disease that is characterized clinically by hyperglycemia due to chronic and/or relative insulin insufficiency. The disease is associated with disturbance in lipid and protein metabolism. Pennisetum glaucum (PG) has been recommended for several therapeutic purposes as it has been shown to have high amount of magnesium which helps to increase the levels of adiponectin hormone but the hypoglycemic effect of millet as a supplement is yet to be fully elucidated. Therefore this research was designed to determine the effect of Pennisetum glaucum supplement on blood glucose level and serum lipid profile. Diabetes mellitus was induced by single intraperitoneal (i.p) injection of alloxan dissolved in 0.1ml fresh cold citrate buffer pH 4.5 at a dose of 150 mg/kg body weight, after which the rats were randomly divided into 5 groups. Group 1 normoglycemic, Group 2 Diabetic untreated, Group 3 Diabetic treated with 1 mg/kg of Glibenclamide (GB). Group 4 Diabetic treated with 33%w/v P.G. supplement, Group 5 Diabetic treated with 66% P.G. supplement. When compared with the diabetic control, the study revealed a significant decrease (p>0.05) in blood glucose level at both 33%w/v and 66% w/v P.G. supplementation. It also showed that P.G. at both 33% and 66% supplement was able to lower Triglycerides and LDL serum levels as well increase HDL serum levels although not statistically significant, but significantly restored HDL/Cholesterol and Triglycerides/HDL ratios to normal physiological range. Pennisetum glaucum supplementation showed high hypoglycemic effect and also hypolipidemic property in alloxan induced hyperglycemic wistar rats. Keywords : Pennisetum glaucum , hypolipidemia, hyperglycemia
Evaluation Model of Integrated Safety of Fuel and Energy Complex Facilities

2162 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: E7671068519/19©BEIESP Abstract: This article discusses the developed model of monitoring subsystem of automated process control system (APCS) with consideration for stabilizing procedures. In order to develop the model and to describe the conditions of state of the environment as well as detectors of the first level (sensors), a conventional simulated facility of fuel and energy complex (FEC) was selected. Such facility inevitably includes numerous fire and explosion hazardous locations. The formulated evaluation principles of integrated safety of hazardous locations (HL) in the case of implementation of analytical system of strategic planning (ASSP) can become an additional module of automated system of fire and explosion safety (ASFES). Dependence of efficiency and survivability of detectors (transferring data to a decision maker (DM)) on appropriate stabilizing measures (maintenance, verification, overhaul, etc.) was demonstrated. In order to calculate survivability evaluation criterion of the APCS first level equipment, several management objectives were selected (provision of data reliability). Analysis of integrated safety in APCS with N detectors is defined as a task of decrease of integrated quality of fire safety at HL. The proposed model is formalized as an algorithm. The planning objectives are relatively ranked in three stages: arbitrary, ranking based on expert evaluations, and adjustment, correction using the decision matrix method (DMM). Fulfillment of normalization condition for the obtained final evaluations makes it possible to derive evident coefficients less than 1 (on importance scale). Final step of the algorithm is assignment of probability function value to each selected group of measures. On the basis of this probability distribution, the DM can determine the dependence of functional and supporting subsystems of APCS on planning and diagnostics during their operation. The proposed evaluation model of integrated safety based on strategic planning methods would improve the DM management quality at FEC facilities and, as a consequence, improve ASFES efficiency and survivability.
PREPARATION AND EVALUATION OF WOOL KERATIN BASED CHITOSAN NANOFIBERS FOR AIR AND WATER FILTRATION

In this article, we have extracted keratin from deccani wool waste and prepared the wool keratin based Chitosan nanofibers by electrospinning technique. The prepared nanofibers mat were prepared with different weight percent ratio like 1wt. %, 3wt. % and 5wt. % with respect to polymer i.e Chitosan. The physicochemical and filtration properties of wool keratin based Chitosan nanofibers were studied. Wool keratin based Chitosan nanofibers were characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), differential scanning calorimetry (DSC) and scanning electron microscopy (FESEM). The filtration efficiency of keratin Chitosan nanofibers were investigated through DOP test and heavy metal removal capacity of evaluated through Atomic absorption spectroscopy. FTIR results were showed that Keratin gets compatible with Chitosan. XRD patterns revealed keratin was in crystalline nature and increase the crystalline nature of Chitosan nanofibers. FESEM images showed that uniform nanofibers generation with average fiber diameter 80nm. Nanofibers filtration efficiency against a particulate matter in air was obtained more than 99.53% and excellent property of removal of heavy metal.
A Survey On Improving Home Automation Security by Integrating Device Fingerprinting Into Smart Home

- Home automation involves automatic control of household features, activity and appliances. A home with an automatic control system is known as smart home. Automation system helps one’s home to promote security, comfort and convenience. This paper is a survey on home automation by integrating device fingerprinting. This paper explains the importance of accessing modern smart home over the internet and highlights various security issues with it. The work explains the evolution of device fingerprinting approach and moreover, a two stage verification process for smart home, using device fingerprinting and login credentials, which verifies the user devices as well as the user accessing the home over internet.
MICROBIAL FUEL CELL BASED ON WASTEWATER AS A NUTRIENT SOURCE AND EFFECT OF PERMEABILISER

In Microbial Fuel Cell (MFC) metabolic process within microorganisms helps in the production of voltage due to generation of electrons. When these electrons move across the electrodes they generate a potential difference between electrodes that is the main reason for voltage production. In this study, waste water was used as a nutrient source. A lot of studies are going on the electricity production using organic matter from the wastewater as substrate. Waste biomass is a readily available, cheap source of electrons for microbes that are capable of producing electrical current outside the cell. Waste water was enriched with indigenous microflora of E.coli and E. aerogenes that was cultured in Nutrient broth. The study was conducted with normal MFC, additional carbon source (D-Glucose (0.5%)) and with additional nitrogen source (Ammonium chloride (0.01%)). The maximum voltages obtained after 11 days of culturing were 528mV from normal MFC, 167.4mV from additional carbon source and 308mV with additional nitrogen source. MFC is a new upcoming research area for generation of energy source from waste water. Microbial fuel cells (MFCs) gives a completely new long lasting, affordable, accessible and environment friendly approach to waste water treatment with production of sustainable energy.
Triple Frequency G-Shape MIMO Antenna for Wireless Applications

942 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number E7044068519/19©BEIESP  Abstract: A compact Triple frequency MIMO (Multiple Input multiple Output) antenna is indispensable in modern wireless applications. This paper proposed a Triple frequency micro strip patch antenna for military (X Band) applications in wireless communications. The antenna is designed on FR-4 (Flame Retardant-4) epoxy material with dielectric constant 4.3. The Micro strip patch antenna is designed over a substrate size of 70×70 mm. The antenna consists of a micro strip feed line and G shaped patch antenna with partially stepped ground (PSG). The proposed antenna covers Wi-Max, WLAN and X band applications. In order to enhance the narrow bandwidth and gain, we are using Partially Stepped Ground (PSG). PSG is also used to conquer higher order harmonics and the consequences of mutual coupling between radiating elements are reduced by PSG. The proposed antenna structure performs at three different frequencies which extend over distinct communication frequency ranges. The Ansoft HFSS (High Frequency Structure Simulator) Software is used to inspect the results. The parameters of designed antenna exhibit the results like Return loss, VSWR, Radiation pattern, Gain, Directivity and surface current distribution that are optimized within the band of operation.
Efficient Energy Consumption Approach during Browsing in Android Smartphones

— Due to some additional characteristics of the wireless radio interface, web browsing via smart phones requires a lot of power while downloading webpages. Proposed system identifies special characteristics, and address power consumption issues through two novel techniques. We proposed a framework for measuring the specified energy used by a mobile browser to deliver web pages to users. Proposed method adequately specifies a tool to analyze the energy required for delivery of particular web elements, such as cascade style sheets (CSS), images, Javascript. With the help of gathered information we conclude some endorsement on designing of web pages to curtail the energy required to deliver the page. Furthermore, proposed method can further decrease the webpage loading time and increase the network capacity.
IN SILICO INTERACTION ANALYSIS OF HERBAL BIOACTIVE MOLECULES WITH PENICILLIN BINDING PROTEIN IN STAPHYLOCOCCUS AUREUS

Objective: The present study involves the analysis of mecA gene mediated antibiotic resistance in Staphylococcus aureus and screening for potential ligands. Methods: Swab samples of patients with foot ulcers were collected from hospitals in and around Chennai. The samples were collected in sterile containers containing Enriched Thioglycollate broth transport media and transported to the laboratory within two hours of collection and processed. Results: The results indicate the interaction capacity of Rosmaric acid with Penicillin binding protein. The 2D interaction results indicate the information about non bonded interactions of ligand and receptor. Best interaction was obtained with Rosmaric acid with a score of 41.16 and 5 h-bond interactions were obtained. The Molecular docking results indicates the interaction of the inhibitors to the antibiotic resistant proteins with a positive fitness. Conclusion: From the current study, molecular docking approach has proved to be an efficient method for the identification of novel lead compounds against β-lactam resistant S. aureus from a broad spectrum of plant compounds and among the studied inhibitors rosmarinic acid was found to be a potent lead molecule.