Miracle-dz/UniFAR-FTUs huggingface dataset:
Isolation and Characterization of dandruff causing fungi & effect of some plant extracts on it

Copyright: © Author, This is an open access article under the terms of the Creative Commons Attribution-Non-Commercial No Derives License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. Yeast called Malassezia is a causative agent of Seborrheic dermatitis or dandruff. It was isolated from the scalp of human individuals and investigated further. Suitable biochemical tests were performed for the characterization of the organism focusing on its ability to produce Catalase, Urease, utilization of tweens, liquefaction of gelatin and assimilation of different carbohydrates. The organism after its isolation and characterization was further investigated for its susceptibility towards 20 different plant extracts.
A REVIEW ON UNDERWATER IMAGE ENHANCEMENT TECHNIQUES

--------------------------------------------------------------------- Abstract - Image enhancement is one of the preprocessing step in various computer vision applications. It is the process of improving the quality of image without any information loss. Usually the images are affected by various facts. Especially in underwater imagery, the haze and hue variations are greatly affected. This paper discusses the issues in underwater images and compares the existing image enhancement techniques for underwater images
GENETIC VARIATION IN INDIGENOUS TURKEY POPULATIONS IN SOUTH WEST NIGERIA

The study was carried out to assess the genetic variation in indigenous turkey populations in South West Nigeria using seven protein markers: Hemoglobin (Hb), Albumin (Alb), Transferin (Tf), Esterase-1 (Es-1), Alkaline phosphatase (ALP), Carbonic anhydrase (CA), and Esterase-3 (Es-3). A total of 97 turkey birds from Ibadan, Ijebu Ode and Akure were purposively sampled. Separation of plasma and red cell proteins were determined on cellulose acetate electrophoresis to estimate the genetic variability within and among the populations. The degree of heterozygosity, deviation from HardyWeinberg’s Equilibrum (HWE), FIS, and FST values were estimated. From a total of 7 loci analyzed, six were found to be polymorphic in all the populations sampled while Es-1 was monomorphic. Two codominant alleles which controlled three different genotypes were observed at each polymorphic loci. Deviations from Hardy Weinberg equilibrium and a deficiency of heterozygotes were observed in all the populations. Average heterozygosities ranged between 0.13 and 0.20, heterozygote deficit FIT was estimated at 0.5784 while within breed deficit as evaluated by FIS ranged from 0.38 to 0.56. The fixation index FST revealed that genetic diversity within the studied population was moderately differentiated. Genetic distance among the populations quantified through calculation of Nei genetic distance ranged from 0.037 0.109. The result obtained may be used as an initial guide in defining objectives for future investigations of genetic integrity and developing conservation strategies for Nigeria indigenous turkeys. Indexing terms/
Vehicle License Plate Detection: A Survey

---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – World has experienced an economical bloom in past few decades. This has led to urbanization on larger scale; as a result the number of privately owned vehicles has grown exponentially so have the license plates. This has given rise to problem such as identification of particular vehicle from a group of vehicles. This paper presents License plate recognition algorithms that consist of following processing steps: I) Extraction of LP region II) Segmentation of LP characters III) Detection of LP characters. The task to identify license plates is quite challenging as it depends on various external factors like Fonts, colors, size, non uniform outdoor lights, weather conditions etc. Thus, most approaches work only under specific conditions such as limited vehicle speed, good illuminations, and ideal weather conditions. Eventually techniques have been developed for License plate recognition using image processing in real time arrangement. Extraction of LP region is an important aspect of intelligent traffic system, as all countries in the world have adopted a uniform way to identify vehicle with help of License Plate system. The size of license plate varies from vehicle to vehicle or country to country. To identify the size of characters segmentation of the captured image is necessary in intelligent traffic system. Each country has its own method to provide License Number to Vehicles. Hence to identify them correctly every country will require a unique way to identify these license plates with the help of character recognition in intelligent traffic system. This will reduce the chaos of identification of vehicles.
Design and application of sintered clay pellets for the removal of methylene blue

Industries use synthetic dyes and toxic organic compounds that pollute these waste waters, sometimes with significant fluxes. This work deals with the study of the elimination of methylene blue dye by sintered pellets based on alluvial clay. The pellet formulation was made with a proportion between the amount of the dry material and the amount of 90g/20mL distilled water, followed by a heat treatment of the pellets (100 °C to 500 °C). The adsorption tests showed that equilibrium was established after 25 minutes with 0.086 mg/g and 0.096 mg/g of MB removed by the pellets at 500 °C and 400 °C. The maximum percentage of adsorption of the pellets at 500°C is 67% that of the pellets at 400 °C is 70%. The adsorption of the methylene blue dye on the sintered pellets is described by pseudo-second-order kinetics. Thermodynamic parameters have shown that MB adsorption is less favored, exothermic and of a physical nature. Adequate MB adsorption temperature is 313K. The study of adsorption by pellets is rapid at low MB concentrations with 0.097 mg/g and 0.109 mg/g MB removed at 400 °C and 500 °C. The correct pH for the elimination of MB is 6.6. The Langmuir model expresses better the elimination of MB by pellets at 500 °C (R2 = 0.962), while that of Dubinin-Radushkevic better expresses the elimination of MB at 400 °C (R2 = 0.996). The pellets at 400 °C and 500 °C are stable in solution and show a good adsorption capacity for methylene blue.
Genetic Variation of Bread Wheat Varieties in terms of Zn and Fe Accumulation in grain under Zinc Foliar Application

The micronutrient malnutrition is being increasingly extended due to rapid growth of human population beside the expansion of agronomy systems. One approach of resolving this problem is employing cultivars with high absorption efficiency for these elements. This Study was designed to evaluate the effect of zinc foliar application and its accumulation in wheat grain on agronomic traits and iron accumulation in the grain of facultative and winter wheat varieties that were conducted in two separate experiments based on RCB design with three replications. The results explained a significant positive effect of zinc foliar application on all traits except grain iron content. The growth type had significant effect on all traits. The effect of variety within the growth type was significant in terms of all traits and indicated high genetic variation among the varieties. Back Cross Roshan, Shahpasand and Mihan were the best varieties in term of grain yield. Bisotoun, Kaveh, Tous and Mahdavi varieties performed the highest content of grain zinc and Back Cross Roshan, Shahpasand and Tous varieties had the highest content of grain iron. Also Rashid, Navid, Alvand and Sayson varieties bilaterally had relative high grain zinc and iron contents. Totally, Sayson and karaj-3 varieties tripartitely performed relative high grain yield and also high grain zinc and iron contents. Grain yield was negatively correlated with grain zinc and positively with grain iron contents.
Development of an Expert System for Dimensional and the Resolution of Soil Texture using Data Mining Concept

: Expert systems have recently attracted the attention of agricultural scientists for application in a variety of information development and transfer situations. These computer software systems are designed to simulate one or more of the ways that a human expert uses his or her knowledge and experience in making a diagnosis or a recommendation. We believe that knowledge-based systems offer considerable potential to help us organize and transmit problem-solving expertise. This should foster and stimulate application of agronomic knowledge in concepts rather than as simple facts or observations as in the past. Expert systems are useful for us in agronomy and soil science and probably in agriculture and biological science. Soils vary greatly in their nature and extent of development depending on the environmental setting in which they have evolved. For example under arid conditions, nature does very little to alter the parent material from which the soils have developed. On the other hand, under tropical conditions the soils differ so much from their parent material that an identification of the original parent rock is very difficult.
Outcomes of Professional Socialization in Nursing: A Systematic Review

Background: The professional potency of nurses is one of the main concerns of healthcare providers in different countries. Moreover, the amount of professional potency of nurses relies on professional socialization of nurses. Aims and Objectives: The situation of professional socialization whether in Iran and in the world is undesirable and understanding the outcomes of the nursing socialization can be a motivating factor to achieve socialization. Materials and Methods: Accordingly, a systematic review was done with the aim of comprehensive understanding and realizing the outcomes in the field of professional socialization in nursing. This study is a systematic review based on Broome protocol (2000) conducted in three steps: literature search, data evaluation and data analysis. Persian databases of SID, Magiran and international databases of PubMed, Proquest, Science direct, and Google Scholar were used to retrieve articles. The articles which had same purpose of this study and were published in Persian and English in last 20 years and having access to the full text of them were possible were selected and keywords of professional socialization, nursing, socialization and their Persian equivalents were used for researching the articles. At first step, about 308 articles were obtained. After initial survey, 35 articles due to having a language other than Persian and English, 228 articles due to having non-aligned purpose, 21 articles with studying their summary, were excluded from the present study. Finally, 24 articles were included. Data analysis was done in four steps based on Broome protocol: data reduction, data display, data comparison and final conclusion and validation. Results: The results of articles showed that the professional socialization has positive and negative outcomes. There are several positive and negative outcomes in professional socialization of nurses and with the improvement of professional socialization, new dimensions of its outcomes can be actualized and understandable to professions. These outcomes affect the person, organization and profession. Conclusions: If the socialization process runs well and in compliance with its hierarchy, it`s positive outcomes would be emerged and it`s negative outcomes will be minimized.
Automated Classification of

Autism spectrum disorder (ASD) is a permanent neurodevelopmental disorder that can be recognised during the first few years of life and is further supported by the existence of gait impairments. Automated classification of ASD gait could provide assistance in diagnosis and ensure rapid quantitative clinical judgement. This study proposes an automated classification of ASD gait patterns based on kinematic and kinetic gait features with the application of machine learning approaches. Gait analysis of 24 ASD and 24 typical healthy children were recorded using a state-of-the-art three-dimensional (3D) motion analysis system and two force platforms during barefoot self-selected normal walking. Nine kinematic and sixteen kinetic gait features were statistically selected using the independent t-tests and Mann-Whitney U tests, which grouped into two types of datasets. Linear discriminant analysis (LDA) and quadratic discriminant analysis (QDA) were employed to perform the recognition task. Overall, the results of the proposed study suggest that LDA classifier with kinetic gait features as input predictors produces better classification performance with 82.50% of accuracy and lower misclassification rate.
Performance Analysis of Hybrid Routing Protocol in Mobile Adhoc Networks

: An ad hoc network is a wireless and infrastructure less network. Various routing protocols have been discussed so far to improve the routing performance and reliability. A detail study shows that performance of on demand Routing protocols AODV and DSR are better than table driven protocols . AODV and DSR still suffer some short coming problems due to longer set up time in case of link failure and scalability problem due to more routing overhead . In our work Hybrid protocol by combining DSR and AODV is implemented to overcome these problems . Simulation is carried out to check the performance of protocol in terms of packet delivery ratio, Packet miss ratio, throughput, end to end delay , routing overhead and energy consumption under the stressed conditions of node mobility and node density. The simulations are carried out by using MATLAB.
Model Order Reduction of Interval Systems Using Mihailov Criterion and Routh Approximation

This paper presents a mixed method for reducing order of the large scale interval systems using the Mihailov Criterion and Routh approximation. The denominator coefficients of reduced order model is determined by using Mihailov Criterion and numerator coefficients are obtained by using Routh approximation. The mixed method is simple and guarantees the stability of the reduced model if the original system is stable. A numerical example is discussed to illustrate the usefulness of the proposed method.
Unsupervised Nonlinear Hashing Using Nyström Method with Improved Sequential Projection Learning

—Hashing is becoming a popular and effective method for nearest neighbor search in large-scale databases, due to its computational and memory efficient. In this paper, we present an efficient unsupervised nonlinear hashing method to transform high-dimensional data to low-dimensional binary data for fast retrieval. Firstly, we use the Nyström method to transform the feature space into nonlinear kernel feature space, to capture the similarity property of the data. Secondly, all training data are formulated to maximize the entropy over each hash bit, which can be relaxed to maximize the variance on each hash bit. Then, we solve the objective function by an improved sequential projection learning method. In each projection learning iteration, we reduce the HAE (Hamming Accumulated Errors) through some pseudolabel pairs generated from all previous learning projections. During the process, we only need to store the sum of covariance matrix instead of the similarity matrix to save memory storage. We also use a more efficient method to update the covariance matrix after each iteration. We carry out extensive experiments on two benchmarks, and demonstrate that the proposed method achieves better performance than some state-of-the-art hashing approaches.
A Survey Paper Based On Contrast Enhancement of Gray Image Using Fuzzy Based Contrast Intensification Operator

:- In this recent period, the image processing plays a key function in different fields of engineering and Research. Perhaps to increase the effectiveness of this field, quality of an image should be enhanced to support the human sensitivity or machine visualization. The contrast of an image is defined as difference of gray levels presented in the image. There are a number of conventional methods available for image contrast enhancement, like Gamma Correction, Power law transformation, histogram equalization etc. they all are based on the crisp logic. In this paper a novel approach for gray image contrast enhancement is proposed using the fuzzy logic based contrast intensification operator. The proposed method treats with the fuzzy logic based method because, fuzzy logic is a strong tool to handle vagueness, uncertainty and since images are vague in terms of pixel values fuzzy logic . After following proposed algorithm it is expected that efficient contrast improvement than the conventional techniques such as histogram equalization and adaptive histogram equalization will be achieved.What we do is to give different labels for our object we know .
RDIB Technique to Recover Degraded Document Image

: In this digital world of technology, we are interconnected to each other via a soft and strong internet medium. Our Entire data, being in a digital world, is available in the form of soft copies of documents. With this, we can update, store, backup and preserve the soft copies of our documents. This is the case with the latest data, but going towards our old traditional data, which is available only on hard copies of the paper, we come across a lot of problems while preserving such rad copies of data. Many a times the old and ancient traditional documents play a vital role in our day to day life. Most of the papers containing our data get degraded due to lack of attention and improper handling and preservation. Most commonly seen degradation of such papers is interference of the text written on the front and back of the papers. In order to make this interfered front end data separate from rear page data many researchers have been proposed binarized documentation methodology. Here we study and analyze various binarization techniques proposed previously and then propose the new and innovative technique for the same. We create the binarized image of the degraded image through some intermediate steps. Ultimately, the binarized image will be next processed by the post processing module. The final output of entire process will generate a clear and binarized image with foreground text clearly seen without interference.
A Review on Wavelet Techniques for Different Noises Removal from ECG Signal

Electrocardiogram (ECG) is the graphical recording of the electrical activity of the heart and is used for diagnosis cardiac problems. The ECG signal is very sensitive in nature having voltage level as low as 0.5 to 5mv and frequency components fall into the range of 0.05-100Hz and most of the information contained in the range of 0.0545Hz. The recorded ECG signal contain different type of noises such as Electromyographic noise, baseline wander, channel noise which becomes very essential for us to remove for better clinical result which helps in treatment of the patient. There are various techniques has been purposed or implemented for de-noising the signal for medical purpose such as Fourier Transform, filter techniques and Wavelet Transform etc. This paper discuss about the different wavelet techniques and different literature study of the previously developed technique, algorithm and performance measuring parameter of ECG signal. The wavelet algorithm is designed using MATLAB software and tested on ECG signal contained different noises. KeywordsBaseline wander, Channel noise, De-noising, Electrocardiogram, Electromyographic noise, Wavelet Transform.
IDENTIFICATION OF POTENTIAL INHIBITORS FOR LOWERING CHOLESTEROL LEVEL BY INHIBITING PROPROTEIN CONVERTASE SUBTILISIN KEXIN 9

Objective: Proprotein convertase subtilisin kexin 9 (PCSK9) has medical significance in lowering cholesterol levels. Inhibitors target and inactivate PCSK9 in the liver. Knocking out PCSK9 reduces the amount of harmful low-density lipoprotein cholesterol (LDL-C) circulating in the bloodstream. There are two known inhibitors for treating the cardiovascular disease “Arilocumab” and “Evalocumab. ” These drugs have many side-effects; therefore, there is a need for new drug with less or no side effect. The current study is to identify natural and synthetic inhibitor using the pharmacophoric feature of the known inhibitor and validating the shortlisted candidates using molecular dynamics (MD) and absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Methods: Known inhibitors for the PCSK9 protein were taken from the BINDING database. Molecular docking was performed for the known inhibitors with the PCSK9 protein. After docking, the best inhibitor was selected, and the docking result was then imported to find the pharmacophoric features. Results: The pharmacophore model was generated with three features containing 1 hydrogen bond acceptor (A), 1 hydrogen bond donor (B), and 1 aromatic ring. The constructed e-pharmacophore model was screened with more than 20,000 natural compounds. Five compounds were shortlisted. Among them, ZINC85625485 has glide score of −13.03 kcal/mol with glide energy was −57.62 kcal/mol and ZINC85625406 has glide score of −8.1 kcal/mol with glide energy was −39.33 kcal/mol were taken as the best hits. Conclusion: PCSK9 is known to be a therapeutic agent as it controls the plasma LDL-C levels by post-translational regulation of the LDL receptor. Therefore, up-regulation of PCSK9 can lead to elevated cholesterol level in such case inhibition of PCSK9 will be an effective remedy. In this study, already known inhibitors were taken and pharmacophore feature was generated. Zinc database was screened to find out novel compounds with similar pharmacophore features that can act as potentially active compound against PCSK9. ZINC85625485 and ZINC85625406 were shortlisted as lead compounds with MD simulation and checking the ADMET properties.
VERIFIABLE COMPUTATIONS: APPROACHES AND PERSPECTIVES

The paper reviews various existing approaches to construct verifiable computing schemes. Such schemes allow a weak client to delegate the computation of function F(X) to the powerful untrusted worker (server). The worker returns the result of the function evaluation y=F(X) to the client and provides a proof that F was computed correctly. We compare different verifiable computing schemes with each other and discuss their flaws and vulnerabilities. The most attention is focused on approaches using some cryptographic primitives. In particular we concentrate on those that exploit fully homomorphic encryption. Finally, we outline open problems and predict the most perspective directions
Low-power readout electronics for micro channel plate detectors with cross-strip anodes

The World Space Observatory - Ultraviolet (WSO-UV) will be the only space telescope for the ultraviolet wavelength range between 102 and 310 nm during the next decade. It is a multinational project under Russian leadership with contributions from Ukraine and Spain. Its main instrument, the WSO-UV Spectrographs (WUVS), was designed by IAAT in collaboration with the Leibniz Institut für Analytische Wissenschaften, Berlin. We are developing the corresponding microchannel plate detectors using new combinations of materials for the photocathode as well as a 64 by 64 cross strip anode for event position determination. Charge pre-amplification is performed by the Beetle chip designed at the ASIC laboratory of the MPIK for LHCb at CERN. It has 128 pre-amplifiers on one die and provides the analog output in a four-fold serial stream. This stream is digitized by four ADCs and processed in a Microsemi RTAX FPGA. Processed data are sent to the instrument control unit via a SpaceWire interface. This concept results in one order of magnitude reduced power consumption in comparison to the use of conventional pre-amplifiers as well as a reduced volume, weight and complexity of the readout electronics. This paper presents the architecture of the electronics and details of the FPGA design as well as an estimation of the performance of our setup.