Miracle-dz/UniFAR-FTUs huggingface dataset:
USING CREATIVE PROBLEM SOLVING AND MOBILE LEARNING TO DEVELOP CLASSROOM MANAGEMENT SKILLS OF ENGLISH PRE- SERVICE TEACHERS

The purpose of this study was to investigate the effectiveness of creative problem solving and mobile learning in developing EFL pre-service teachers' classroom management skills. The sample of the study included 10 pre-service teachers enrolled in the fourth year, English department for basic education at Port Said Faculty of Education. A mixed methods research design was adopted for this study to allow triangulation of data and explore the multi-dimensional nature of classroom management skills. The instruments of the study included a classroom management skills questionnaire, classroom management observation checklist, classroom management skills test and a rubric for scoring it and two interview question guides. The results of the study revealed that the treatment was effective in developing EFL pre-service teachers' classroom management skills. Pre-service teachers started with a limited perception of classroom management skills and moved to a much clearer, organized, and complicated one as shown in the participants' responses to interview questions. On the other hand, they stressed the importance of creative problem solving and mobile learning in helping them to solve different classroom management problems.
Effect of Mycobiome Diet on Gut Fungal and Bacterial Communities of Healthy Adults

Introduction: This study was conducted to evaluate the effectiveness of the mycobiome diet (as presented in the book Total Gut Balance) on the human gut microbiome in general and the gut mycobiome (fungal community) in particular. Enrolled subjects were evaluated for improved health, gastrointestinal symptoms, and weight loss, as well as subjective reports of changes in energy, fatigue, and sleep. Method: Ten healthy volunteers (six males and four females ranging in age from 30 to 70) were enrolled in this 28-day protocol. Participants completed a food journal, checking off daily and weekly required foods, as well as noting bowel movements, weight, and any digestive-related complications. Fecal samples were collected at the beginning and end of the study, with mycobiome and bacteriome profiles sequenced using ITS and 16S regions, respectively. Results: The mycobiome diet was highly successful at reducing pathogenic Candida species. Within two weeks, Candida species overall decreased by 72.4%; C. albicans in particular decreased 1.42-fold, while C. tropicalis was undetected after 4 weeks. Subjects significantly increased their levels of beneficial bacteria, specifically Faecalibacterium prausnitzii, Bifidobacterium, Roseburia, Lactobacillus, and Bacteroides. Furthermore, pathogenic bacteria decreased significantly, including Escherichia coli, Bacteroides fragilis, and Clostridium. The changes in the microbiome structure were accompanied with improvement in digestive symptoms, weight loss, less fatigue, more energy, better sleep, and fewer cravings for empty-calorie foods. Conclusion: Our data showed that adhering to the mycobiome diet for 4 weeks led to positive shifts in fungal and bacterial microbiome communities concurrently with positive improvement in GI symptoms and overall health.
International Journal of Soft Computing and Engineering

This paper presents an improved adaptive Neuro-fuzzy inference system (ANFIS) for predicting chaotic time series. The previous learning algorithms of ANFIS emphasized on gradient based methods or least squares (LS) based methods, but gradient computations are very computationally and difficult in each stage, also gradient based algorithms may be trapped into local optimum. This paper introduces a new hybrid learning algorithm based on imperialist competitive algorithm (ICA) for training the antecedent part and least square estimation (LSE) method for optimizing the conclusion part of ANFIS. This hybrid method is free of derivation and solves the trouble of falling in a local optimum in the gradient based algorithm for training the antecedent part. The proposed approach is used in order to modeling and prediction of three benchmark chaotic time series. Analysis of the prediction results and comparisons with recent and old studies demonstrates the promising performance of the proposed approach for modeling and prediction of nonlinear and chaotic time series.
Arabic Sentiment Analysis approaches: An analytical survey

— Web 2.0 has contributed tremendously towards the rapid growth of web contents. People are motivated to develop a system that can identify and classify opinions which are represented in an electronic text. Because of its valuable return in many fields as e-commerce, politics, tourism, etc., Sentiment Analysis (SA) is one of the most active research areas in Natural Language Processing (NLP). Most research efforts in the area of opinion mining deal with English text and little work is done with Arabic text. This paper provides a summarization of the work done in Arabic SA. The paper also presents some challenges and open issues that need to be addressed and explored in more depth in order to improve this field.
Efficient Blocking Artifacts Removal on Color image using DCT Domain

-Image enhancement techniques involve processingan image to make it look better to human viewers. Now,increasingly images are being represented in the compresseddomain format for efficient storage and transmission. Henceit has become imperative to investigate compressed domaintechniques to eliminate the computational overheads occur inspatial domain techniques. Processing in the DCT domain hasattracted significant attention of researchers due to its adoptionin the JPEG and MPEG compression standards. The imagesneed to be enhanced in terms of brightness along with colorsrestored with minimal computational overhead. This techniquetreats chromatic components in addition to the processingof the luminance component also removes blocking artifactsefficiently for improving the visual quality of the images to agreat extent.
Nanotechnology for Water Treatment-A Review

New concepts and technologies are fast replacing the traditional methods of water treatment. Nano materials are well suited for water purification, disinfection and waste water treatment application as they have a very large specific surface area. Water is having a very essential role for vitality of life on earth and its treatment is very much required for day to day life. Nanotechnology is the study of manipulating matter on an atomic and molecular scale dealing with developing materials, devices, or other structures sized from 1 to 100 nanometers.We provide an overview of recent advances in nanotechnologies for water and wastewater treatment. The major applications of nanomaterials are critically reviewed based on their functions in unit operation processes.
Multi-modal Biometrics based on Feature Level Fusion

Recently, multi-modal biometric system gaining lot of research interest due its increase level of security. It makes use of multiple source of information for personal authentication. Recently, multimodal biometrics fusion techniques have attracted increasing research interest in the belief that the supplementary information between different biometrics might improve the recognition performance. This paper aims to propose person identification system, using multiple biometrics by different biometric traits to meet good recognition rate and to improve the system performance. The system is tested on database for 50 samples of Signature and 50 samples of fingerprint (FVC2004 database) and the overall accuracy of 98.00% with FAR of 0.45% and FRR of 0.31%.
Zinc and Allergy Relation

Increase in the allergic disease prevalence worldwide has stimulated many investigations into the changes in daily life trends and/or environmental circumstances. Dietary change is one of the most important factors in these styles. Several clinical studies have reported an association between an increase in the incidence of allergic diseases and low Zinc consumption daily. Zinc is one of the primary dietary factors and of the most widely disseminated bio elements present in all organs, living tissues, and secretions. Zinc is also known as a cofactor for cellular proteins, nucleic acids, carbohydrates and lipids. Thus, it is a trace element essential for cell growth, development, and differentiation. Zinc is necessary for cellular functions in the organism, and irregular Zinc homeostasis causes different health problems consisting of growth retardation, immunodeficiency, hypogonadism, neuronal and sensory dysfunctions. Since Zinc deficiency is able to cause a variety of defects in the organisms including immune system, it could be related with increased rate of allergic diseases in children. Anti-oxidant, anti-apoptotic, anti-inflammatory and anti-allergic effects of Zinc are very important to prevent skin and airway diseases of the organism. Subsequent to losing these beneficial effects, Zinc deficiency is supposed to play a role in the pathogenesis and severity of allergic skin and respiratory tract diseases. Therefore, maintaining normal Zinc levels might lower the risk of development and progression of allergic diseases, especially in who are already hypozincemic. More research is required to establish whether Zinc deficiency is a risk factor for the development of allergic disease or a secondary outcome of these diseases.
Mobile Cloud Diabetic Control System

— Human Computer interfacing becoming more popular in this era. The technology growth and advancements in nano-Technology reduced the electronic device physical metrics in such a manner they can be enclosed into very thinnest layers also. In this paper a mobile computing and Cloud computing fusion based architecture proposed to support the Diabetic patients in maintaining their health checkups and receive doctors advises on move. The technology benefits and architecture assistance with its functional structure briefly explained. A case study work done on performance statistics among both traditional and proposed model. This paper promoted the new generation medical assistance system to provide health assistance for critical diseases in prompt timing with real-time patient monitoring.
THE EFFECT OF DIMENSIONS OF SERVICE QUALITYON CUSTOMER SATISFACTION IN MANDIRI SHARIA BANKSOF PALEMBANG BRANCH

----------------------------------------************************---------------------------------Abstract: This study attempts to analyze the influence of service quality dimensions for customer satisfaction in Bank Syariah Mandiri Cabang Palembang consisting of Reliability (X1), Responsiveness (X2), Insurance (X3), Empathy (X4), Intangible (X5) to customer satisfaction (Y) Respondents from this study were customers of Bank Syariah Mandiri Cabang Palembang. The data collected consists of primary data and secondary data. Primary data was obtained through questionnaires distributed to 100 respondents. Secondary data is obtained from various sources such as journals, books, internet, and other literature. Statistical analysis tests performed include validity test, reliability test, multiple regression test analysis, partial significance test, simultaneous significance test, determination coefficient test, and others. The results of partial analysis of service quality dimensions, namely reliability (X1), responsiveness (X2), guarantee (X3), empathy (X4), tangibility (X5) have a positive and significant effect on customer satisfaction of Bank Syariah Mandiri (Y). Simultaneously there is a significant effect between reliability (X1), responsiveness (X2), collateral (X3), empathy (X4), tangibility (X5) on customer satisfaction of Bank Syariah Mandiri (Y). The results of this study are expected to be an input for the management of Bank Syariah Mandiri in improving the quality of its services. The management of Bank Syariah Mandiri must be able to understand what the customer wants so that the services at Bank Syariah Mandiri can continue to be improved.
Factors Affecting Perception of Investors Towards Mutual Funds

As the concept of mutual fund is gaining more and more importance with a wide array of institutions vying to lure the investing public, a proper evaluation of performance of mutual funds, ability of the funds to diversify and time their investment is of practical importance for a valued judgment. Mutual Fund is one of the most preferred investment alternatives for the small investors as it offers an opportunity to invest in a diversified, professionally managed portfolio at a relatively low cost. The paradigm shift toward mutual funds assumed greater importance ever since the financial sector gained momentum under the globalized and liberalized environment. Each mutual fund has its own investment objective such as capital appreciation, high current income or money market income. A mutual fund generally states its own investment objectives and investors as a part of their own investment strategies choose the appropriate mutual fund for investment. The performance of the mutual funds products become more complex in context of accommodating both risk and return measurement while giving due importance to investment objectives.
Cryptocurrency (Blockchain) Technology as a Means of Leveraging the Nigeria Economy

Cryptocurrency is generally known to be a digital record of ownership of nominal balance which can be used to pay for transactions. Thus, for any transaction, the buyer gives instructions to transfer ownership of a certain amount of his balances to the seller. The use of cryptocurrencies such as Bitcoin and Ethereum in performing online transactions has been on the rise and almost accepted generally in the world. Africa as a continent is not left out in the adoption of blockchain and cryptocurrencies. Today, in 2019, the question of whether or not digital money can actually become a useful and secure part of the Nigerian economy is being seriously debated. This paper explores how cryptocurrency technology can be a means of leveraging the Nigeria economy and its extremely large population.
Survey on Various Types of Credit Card Fraud and Security Measures

— Now a day’s credit cards usage has become hysterically. As credit card becomes the most famous in the form of amount for both online and regular purchase, in this cases fraud also increased. Credit card is process of transfer or debits the cash in bank organization. Credit card fraud is act of using credit card of authorized user by unauthorized user. Their various types of fraud and detect the fraud for providing security to credit card holder in banking industry. This criminal activity has been more complex and there is no safe for valid credit card holders. The aims of this paper are firstly, discussing various types of credit card fraud and secondly, how to reduce the fraud by taking security measures and using alternative data mining algorithms.
A Comprehensive Study of Image Steganography Techniques

: Transmitting images confidentially from sender to an authorized receiver through an insecure (public) channel is a challenging task. Therefore, several methods are developed to protect important information for safe and secure communication. There are three main technologies used for securing digital data: watermarking, steganography and cryptography. Steganography and watermarking could be considered within the same field (information hiding). This paper presents a comprehensive study for various methodologies in the field of image steganography. Each methodology has its bad and good points, therefore, a part of advantages and drawbacks are also discussed as a comparative study to help future researchers by providing a review of the existing techniques.
Comparative Study on Natural Image denoising in DWT and Contourlet Transform using Bayes Shrinkage Technique

- Image noise is random variation of brightness or color information in images. There are several types of noise can be introduced in the images during image acquisition,transfer & storage. The main objective is to remove the noise from the input image. Natural image is used as input image. Natural images are always corrupted with Gaussian noise. The input images are taken and then the noise is added in the image. Then apply the DWT and Counterlet transform to the noisy image. Thresholding function is used to identify and filter the noisy co efficient and take inverse transform to reconstruct the original image. To improve the quality of the denoising method the frequency domain is used . The result of the proposed method is compared with the best transform. In this work Bayes shrink(BS) is applied on the transformed image. Finally the performance of the transformed are compared using PSNR.
Attribute Based Encryption for Scalable and Secure Sharing of Medical Records in Cloud Computing Design and Implementation

: Cloud Computing servers provides promising platform for storage of data. Sharing of personal medical records is an emerging patient centric model of health information exchange, which is often outsourced to store at third party, such as cloud providers. The confidentiality of the medical records is major problem when patients use commercial cloud servers to store their medical records because it can be view by everyone, to assure the patients’ control over access to their own medical records; it is a promising method to encrypt the files before outsourcing and access control should be enforced though cryptography instead of role based access control. There are various other issues such as risks of privacy exposure, scalability in key management, flexible access and efficient user revocation, have remained the most important challenges toward achieving fine-grained, cryptographically enforced data access control. To achieve fine grained and scalable data access control for medical records stored in semi trusted servers, we leverage attribute based encryption (ABE) techniques to encrypt each patient’s medical record file. In this paper, we describe a new approach which enables secure storage and controlled sharing of patient’s health data. We explore key-policy attribute based encryption and multi-authority attribute based encryption to enforce patient access control policy such that everyone can download the data ,but only authorize user can view the medical records. This project also supports multiple owner scenarios and divides the users in the system into multiple security domains that greatly reduce the key management complexity for owners and users. A high degree of patient privacy is guaranteed by exploiting multi-authority ABE. In this paper we presents the detail design of modules and implementation Packages of the proposed framework.
Detect Malware Patten in Android Application Using Genetic Algorithm and Identify Malicious Behavior Using Neural Network

MALWARE is a kind of bad code which capture the sensitive information from the computer without knowing to the user and perform unwanted operation behind the scene. In Android malware is an code which effect on other running application in smartphone. Generally in android malware are running in the form of background service it overall effect on user interface of application. In our research we are introducing an new technique by using this we are identify the malware pattern in the application also we are checking the malware pattern background service of application
Alexithymia in relation with emotional express styles in chronic pain

Emotional express is a key concept in social communication. Considering the significant role of emotional expression in social and individual life this study aimed to study the relationship between alexithymia and emotional express. This research was a descriptive cross sectional study included patients with chronic pain (N= 100 male and N= 100 female). The samples assessed by standard Alexithymia Scale (TAS) and Emotional Express Questionnaire (EEQ). Data analyzed using descriptive statistics and inferential statistics (Pearson and T-test). The results indicated positive relationship between alexithymia with emotional inhibition, positive expression, aggression control and benign control. According results there is relationship between alexithymia and emotion express styles this awareness regarding expression style may help during treatment of these patients.
293-298-Aulanni-Arie- serum lipase Feb 24

The increasing level of serum pancreatic enzyme ind icates an inflammation of exocrine pancreas, known as pancreatitis. One of the pancreatic enzymes that evaluated in pancreatitis is lipase. The aim of the study was to evaluate the corr elation of increasing level of serum lipase with duration of disease and progression of diabete s in Indonesian T2D subject. Subjects were categorized according to ADA 2013 into three groups : healthy controls (n=21), prediabetes (n=12), and diabetes (n=34). The data were analyzed statistically and expressed as mean ± SD. Multivariate analysis of variance was used for showing the differences of the variables. Multiple regressions were applied for correlation studies of the variables and it was continued with Structure Equation Modelling-Generalized Structure Component Analysis (SEM-GCSA) for evaluating the coefficient contribution of each variable i n Hypothetic Model. The results showed there were elevated levels of blood glucose, insulin resi stance, creatinine, and serum lipase activity in T2D. The increased serum lipase activities were pos itively correlated with duration of diseases, plasma glucose, HbA1c level, Insulin Resistance Ind ex, and creatinine level, but did not correlate with lipid profile (Cholesterol, Triglyceride, HDL and LDL), and insulin level in Indonesian T2D Patients. Hypothetic structural model showed that decreasing level of insulin contributed to increase insulin resistance, likewise, insu lin resistance contributed positively to glucose level, and glucose level contributed to increase Hb A1c level and also lipase activity, but the increasing activity of lipase was not contributed sig nificantly to increase glucose level. So, the high serum lipase has correlation with progression of T2 D
News in the Treatment of Periorbital Hyperpigmentation

Periorbital hyperpigmentation is multifactorial in etiology. It is caused by various endogenous and exogenous factors. Genetic factors are common causative factors. Anemia, stress, aging, dermal melanin deposition, post inflammatory hyperpigmentation due to atopic or contact dermatitis are other known causative factors [1]. Some systemic diseases and faulty habits can cause periorbital hyperpigmentation. Periorbital aedema and prominent superficial vasculature are other causes of periorbital hyperpigmentation.
A SURVEY ON SCALABLE, RELIABLE PUBLISH/SUBSCRIBE SYSTEMS USING ENCRYPTION

: The crucial security of content based public/subscribe system provides authentication and confidentiality in publisher and subscriber. Authentication of publishers and subscribers is tough to realize attributable to the loose coupling of publishers and subscribers. As like, with content-based routing confidentiality of events and Subscription are conflicts. Here we are going to provide authentication and confidentiality in broker-less public/subscribe systems, by using the paring based cryptographic mechanism, the authentication and confidentiality of publisher and subscriber of events is guaranteed. Moreover, associate degree rule to cluster subscribers in keeping with their subscriptions preserves a weak notion of subscription confidentiality. This paper contributes a. use of searchable coding to modify economical routing of encrypted events, b. multi document routing a brand new event dissemination strategy to strengthen the weak subscription confidentiality, and c. thorough analysis of various attacks on subscription confidentiality.