Miracle-dz/UniFAR-FTUs huggingface dataset:
Mining Technique Defined For Improving User- Based Recommendations in Diverse Environment (MTIURD)

Recommender systems are being extensively used in the present generation. Today's consumer are facing with millions of goods and services when shopping online. Recommender systems help consumers by making product recommendations that are likely to be of interest to the user such as books, CDs, movies, restaurants, online news articles, and other services. Recommender systems are gradually increasingly harder to find the relevant contents of information in the vast abundant current age of information overload. Thus, recommender systems are needed to help individual users find the most relevant items or products or data sets from an abundant number of choices, collection. Through this gradually increase sales by exposing users to what they might like. E.g. In real time or real world applications consider a product say laptop, the laptop present in numerous patterns with different applications in number depending upon different user's requirements. Thus providing a user or the customer with relevant information about the product as per their requirements with the help of recommender systems would ease the work of an user. Hence we can conclude saying that the volume of information available in the current age is huge to individual users (for e.g., e-commerce sites applications such as Amazon, Netflix) and hence focusing in developing some recommendation techniques within both industry and academia. Most, research to date is focusing on improving the recommendation accuracy i.e. the accuracy with which the recommender system predicts users ratings for items that are yet to be rated. The diversity of recommendation also plays an important role to be considered, it is important to explore the relationship between the accuracy and diversity and also the recommendation quality. Empirical analysis consistently shows the diversity gains of different recommendation techniques which is being used in several real world rating applications or datasets and uses different rating prediction algorithms. Individual users and online content providers will also benefit from the proposed approaches, where in which each user can find more relevant and personalized items or products from accurate and diverse recommendations provided by these recommender systems. These approaches, ranking techniques and algorithms could potentially lead to increased loyalty and sales in e-commerce application sites, thus benefiting the providers as well. Thus, serving these needs can result in greater success regarding cross-selling of related products, up selling, product affinities, and one-to -one promotions, larger baskets and customer retention.
Ilung: Interactive Holographic Medical Application for Lung CT Scans Using Hololens

This research aims to design a holographic medical application for lung CT scans using Microsoft HoloLens. iLung application offers users the possibility to interact with the actual lung of a patient in a mixed reality and 3D environment. A prototype of the iLung was developed based on raw CT scans data and converted into 3D model generation. This paper reports the earlier stage in designing the application. Based on the application’s overview with a group of users, the findings gathered showed that iLung prototype facilitates interactive manipulation and exploring of the 3D lung object. Feedback and comments were recorded for future improvements such as air taping interaction method and voice command.
A Review of Query Expansion Approaches

- Since the content of the web is increasing rapidly, retrieve most relevant document to user need is difficult task. Further more user query in most cases is vague and formed by a few keywords. Sometimes, user query is well formed, but in different form as the document collection. A number of approaches have been used to process user query, and enhance its performance. One of the most successful approaches is query expansion, whereby additional terms are added to the original query. In this paper, we attempt to introduce better understanding of query expansion approach by reviewing and comparing the effectiveness of these approaches. The following questions are answered. What are the different types of query expansion approaches? What are the advantages and disadvantages of each type?
In silico Characterization of Industrial Important Cellulases using Computational Tools

Cellulases refer to a class of enzymes produced maj orly by fungi, bacteria and protozoans that catalyz e cellulolysis. Cellulase enzyme is used extensively in various industries, especially in textile, food and in the bioconversion of lignocellulosic wastes to alcohol. The extensive use of cellulase in industries depen ds on the cost of the enzyme and hence considerable resea rch is being carried out to isolate better microbia l strains and also to develop new fermentation proces ses with the aim to reduce the product cost. Cellul ases from different strains of Pseudomonas species were analyzed using computational tools. T he physicochemical properties of the selected cellulas es were analyzed by using ExPASy’s ProtParam tool a nd it was found that the molecular weight (M.Wt) range s between 40927.4-100058.7 Da. Isoelectric Points ( pI) of all the organisms were found to be acidic in nat ure. The aliphatic index infers that all the cellul ases are stable. The negative value of GRAVY indicates that there will be better interaction with water. The secondary structure prediction was done by SOPMA wh ich showed that random coils dominated all the other conformations. Multiple sequence analysis and evolutionary analysis of cellulases were carried o ut by CLC workbench. The Phylogenetic analysis was done u sing Neighbour joining method. The 3D structures of cellualses were obtained by ESyPred 3D server.
Efficient Hybrid Image Compression Scheme Using DWT and Quantization with DCT for Still Digital Image

: The increasing demand of multimedia content like digital images and videos has a great interest in research in compression techniques. The algorithm for higher quality and less expensive image acquisition device has produce steady increase in both image size and resolution. As we know the storage capacity and transfer bandwidth has grown accordingly in recent years, many applications still require compression. Image compression reduces the storage space of image and also maintains the quality of image. The essential information is extracted by various transforms techniques such that it can be reconstructed without losing quality and information of the image. In this paper we will discuss the necessity of hybrid coding over classical coding schemes and why DCT – DWT hybrid approach is so important among various hybrid schemes. The goal is to achieve higher PSNR i
THE ROLE OF ELECTRONIC CUSTOMER RELATIONSHIP MANAGEMENT PILLARS IN ACHIEVING COMPETITIVE ADVANTAGE FOR BANKING SECTOR IN JORDAN

: This research aimed at investigating the role of electronic customer relationship management pillars in achieving competitive advantage for banking sector in Jordan. Through monitoring the reality of the role of these pillars(E-Customer, E-Relationship, and E-Management)to achieve competitive advantage in the banks of Jordan. This study has identified the most important factors pursuing the implementation of electronic customer relationship management in commercial banks of Jordan. This research paper has used a quantitative technique to collect data from participants, afterwards, SPSS statistical techniques were used to obtain the findings of this research. The results showed that most commercial banks in Jordan use electronic customer relationship management through interacting with all business activities that require direct contact or indirect communications with clients to achieve maximum competition. In light of the results of this research the researcher has introduced a set of recommendations that promote the use of electronic customer relationships management as well as enhance the competitive advantage of commercial banks in Jordan.
Optimization of an MPPT-based Controller for PV System using PSO

This paper presents a control method suitable for photovoltaic (PV) systems which ensure that power generated is maximized for various conditions. Due to partial shading conditions in PV, the power-voltage characteristics exhibit multiple local peaks; one such phenomenon is the global peak. These conditions make it very challenging for maximum power point tracking (MPPT) to locate the global maximum power point. Many tracking algorithms have been proposed for this purpose. In this paper, a modified particle swarm optimization (PSO)-based MPPT technique is proposed. Unlike the conventional PSO-based MPPT methods, the proposed method accelerate convergence of the PSO algorithm by consistently decreasing the weighting factor, the cognitive and social parameters thus reducing the steps of iterations and improved the tracking response time. The advantage of the proposed method is that it requires fewer search steps (converges to the desired solution in a reasonable time) compared to other methods. It requires only the idea of series cells; thus, it is system independent. The study is supported by numerical and experimental results.
Feature Selection and Extraction of Audio Signal

: Classification systems of the audio signals are used for analysis of the input signal and then were used to extract the different characteristics or features of the audio signal. Classification of audio signal is used to draw some sensory and physical characteristics like voice and is used to determine their characteristics. Extraction algorithms can be used vastly, depending on the field of classification Application. In this paper, features of audio signals and there extraction are discussed and how to select the optimal features from the selected features. A number of features such as MFCC, Pitch, fundamental frequency characteristics are discussed. The extracted features can be choosed using various algorithms such as genetic algorithm; greedy algorithms are explained which are used for getting the optimized output. The greedy algorithm is applicable only in some situations but not always but to get the optimized values Genetic algorithm always give the best results.
Performance Evaluation of EIGRP and OSPF Routing Protocols in Real Time Applications

: There has been a rapid growth of the routing protocols in the area of communication. A routing protocol is a protocol which is responsible to determine how routers communicate with each other and forward the packets through optimal path to travel from source node to destination node. The performance of each routing protocol is is different from each other. In the context of routing protocol protocol performance, each of them has different architecture, adaptability, route processing delays, convergence capabilities and many more. Among different routing protocols, EIGRP and OSPF have been considered as the pre-eminent routing protocols for the real-time applications. This paper is a study based on simulation for comparative performance evaluation between EIGRP and OSPF routing protocols for real time applications by using Best-Effort and Quality of service method in OPNET simulator. The evaluation is done based on different aspects such as traffic sent and received, packet delay variation, packet end-to-end delay as well as voice and video traffic sent/received using simulator to evaluate the performance of EIGRP and OSPF, two network models have been studied that are configured with EIGRP and OSPF routing protocols respectively.
Mechanism of Apoptosis in Development of Glomerular Damage in Nephrotic Children

Materials and Methods Podocytes and proximal tubular cells at the glomerular-tubular junction are considered the main targets for albumin toxicity. Glomerular sclerosis is the progressive lesion beginning at the glomerular capillary wall, the site of abnormal filtration of plasma proteins. Injury is transmitted to the interstitium favoring the self-destruction of nephrons and eventually of the kidney. These processes associated with tubulointerstitial injury that are activated by ultrafiltered protein load of tubular epithelial cells [1,5]. Here we report that nephrotic patients reveal a high level of podocytes loss. Moreover, this index is dependent to the level of glomerulosclerosis. Podocytes loss is associated with pro-apoptotic markers Bax and caspase-3 activation.
WAIST CIRCUMFERENCE AND ITS CORRELATION WITH METABOLIC SYNDROME IN WOMEN ATTENDING GYNAECOLOGY OPD IN A TERTIARY CARE CENTRE IN PONDICHERRY, INDIA

Obesity and Metabolic syndrome are important risk factor for cardio-metabolic diseases, including diabetes, hypertension, dyslipidemia, and coronary heart disease (CHD). Several leading national and international institutions, including the World Health Organization (WHO) and the National Institutes of Health, have provided guidelines for classifying weight status based on Body Mass Index (BMI). The present study was carried out to identify the co-relation between waist circumference and other risk factors with metabolic syndrome and to ascertain their significance. This is a prospective observational study conducted in Out Patient Department (OPD) of a tertiary care centre with a study population of 200 patients attending OPD with any gynaecological problem having waist circumference > 80 cm. All the patients were between the ages 18-58 years. 21% of women belonged to high socioeconomic status and 44% and 35% belonged to middle and low socioeconomic status, respectively. Prevalence of metabolic syndrome was seen in 50.5% of women, which was directly proportional to the increased waist circumference. The study concluded that waist circumference is directly related to prevalence of metabolic syndrome, which is on increase due to sedentary life style. Such patients are also prone to cardio-vascular diseases and hormonal imbalance, specifically hypothyroidism.
An EEG Based Vehicle Driving Safety System Using Automotive CAN Protocol

— A real-time drowsiness detection system in vehicles using single channel EEG dry sensor is described. Drowsy driving is a severe issue that leads to traffic accidents. Sleeping can be identified by the physical activities such as eye blink level, yawning, gripping force on the wheel etc. In some cases people will mentally sleep with eyes open for a short time, will leads to accidents. In this system, analysing the mental activities of human brain using EEG (Electroencephalography) based on BCI (Brain Computer Interface). Human brain consists of millions of interconnected neurons. According to the human activities unique electric brain signal will form. Drowsiness is detected by analysing the power of EEG bands. An algorithm is developed for this detection. In this work, using single dry electrode brain wave sensor (Neurosky - Mindwave) which can collect EEG based brain signals of different frequency and amplitude and it will convert these signals into packets and transmit wirelessly to next section for checking the attention level, drowsiness detection and gives the drowsy driving alert and keeps the vehicle to be in self-controlled function until awakened state. This can save a lot of lives in road transportation. The nodes in this system are implemented on ARM7 (Advanced RISC Machine) cores (LPC 2148). Communications between these nodes are accomplished through automotive CAN (Controller Area Network) protocol.
Studying cultural methods of globalization and formation of cultural imperialism

Globalization movement is toward culture de-identification. In globalization, protecting the cultural identity is a barrier against political, social and cultural development. For this reason, transformation or deidentification should be done. In fact, cultural independent identity prevents the native culture’s blind and passive imitation of the global culture and imposition of culture and ideologies of import. Native culture is able to specify and prepare correct organizational management method, outcome of technique and consumption as well as social control method, therefore, the globalisers use different tools to create cultural imperialism and cultural globalization and communication and media play important role in this problem. [Zabeti M, Khedri Z, Yaghoubi Poor A. Studying cultural methods of globalization and formation of cultural imperialism. J Am Sci 2012;8(9):1003-1008]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 138
Prevalence of Baker’s Cyst among Female Patients with Knee Osteoarthritis, an Ultrasonographic Study, in Egypt

Background: Baker’s cyst (BC) represents a bursa between the gastrocnemius and semimembranosus tendons which is communicating with the knee joint synovial covering that typically appears as swelling in the popliteal fossa. Objectives: The current study was conducted to estimate the prevalence of Baker’s cyst, and its relation to ultrasound detected knee effusion, and hyaline cartilage degeneration among osteoarthritic female patients and to investigate some risk factors associated with presence of baker cyst. Subjects and Methods: A cross sectional hospital-based survey conducted was conducted through 2016. The total number of patients included in the study was 1568 with a mean age of (55.54 ± 2.86 years) and range (45 68 years). The data was collected through an questionnaire from all participants over a period of one year (through 2016). Results: Baker cyst was diagnosed by ultrasound procedure in 203 of (1568) osteoarthritic patients with a prevalence of 12.9%. The prevalence of baker cyst markedly increased with the duration of osteoarthritis and represented by 14.8% if the disease duration is 5 years or more compared to 10.3% if the duration is less than 5 years. The baker cyst was more prevalent among patient with severe obesity (21.7%). The baker cyst was significantly higher among patients with large effusion (61.4%) compared to (30.6%) and (21.7%) among those with moderate and mild effusion respectively. Conclusion: Baker’s cysts are a common ultrasonographic finding in knees with osteoarthritis. Presence of baker cyst were significantly associated with; duration of osteoarthritis, severe obesity, severe femoral hyaline cartilage degeneration, and large effusion.
Augmented Reality Using Hand Gestures

: A human-computer interaction interface (HCI) based on Hand gesture recognition. It is a challenging problem in its general form. We consider a set of manual commands and a reasonably structured environment, and develop a simple, yet effective, procedure for gesture recognition. Our approach contains steps for segmenting the hand region, locating the fingers, and finally classifying the gesture. The algorithm is invariant to translation, rotation, and scale of the hand. We demonstrate the effectiveness of the technique on real imagery. However, technology is progressing. In particular, Augmented Reality (AR), an emerging Human-Computer Interaction technology, which aims to mix or overlap computer generated 2D or 3D virtual objects and other feedback with real world scenes, shows great potential for enhancing e-commerce systems. Unlike VR, which replaces the physical world, AR enhances physical reality by integrating virtual objects into the physical world. The virtual object becomes, in a sense, an equal part of the natural environment. This chapter presents a new type of e-commerce system, AR e-commerce, which visually brings virtual products into real physical environments for user interaction. The new approach gives customers a chance to “try” a product at home or in another use environment. The chapter presents development of a prototype AR e-commerce system and a user study of the developed prototype. Experiment results and data both validate the new Human-Computer Interaction . AR e-commerce system and provide suggestions for improvement. Overall results of the study show that the AR ecommerce system can help customers make better purchasing decisions.
HAND-HELD CAMERAS

This paper presents a technique for high-quality high dynamic range (HDR) image reconstructing from a set of differently exposed and possibly blurred images taken with a hand-held camera. HDR image Recovering from differently exposed photographs has become very popular. HDR image recover often requires a tripod to keep the camera still when taking photographs of different exposures. For easy process, it is often preferred to use a hand-held camera. However, this leads to two problems, blurred long-exposed photographs and misaligned photographs. These problems, this paper adapts an alignment method and proposes a method for HDR reconstruction from possibly blurred images. We use Bayesian frameworks to formulate the problem and apply a maximum likelihood approach to iteratively perform blur kernel estimation, HDR image reconstruction and camera curve recovery. When convergence, we simultaneously obtain an HDR image with rich and clear structures, the camera response curve and blur kernels. To show the effectiveness of our method, we test our method on both synthetic and real photographs. The proposed method compares favorably to two other related methods in the experiments.
Image Spam Detection: Problem and Existing Solution

- Today very important means of communication is the e-mail that allows people all over the world to communicate, share data, and perform business. Yet there is nothing worse than an inbox full of spam; i.e., information crafted to be delivered to a large number of recipients against their wishes. In this paper, we present a numerous anti-spam methods and solutions that have been proposed and deployed, but they are not effective because most mail servers rely on blacklists and rules engine leaving a big part on the user to identify the spam, while others rely on filters that might carry high false positive rate.
Passenger Identification System Using Iot Based Transportation Smart Card

In many countries, Public transport is being used as a means of transportation for traveling. The most widely used public transport system is the bus transportation. According to many surveys, people prefer for proper and worthy public transportation facilities. Particularly in congested metropolitan cities, accidents are happening due to improper bus transportation. Also, vast number of thefts and other criminal activities are also happening in the same. The objective of our work is to identify the passengers traveling in the bus by collecting their database which will be stored in the centralized server of transportation department. For this purpose, we have implemented transportation smart card technology for database collection. The data about the passenger will be sent to the transportation department server through a trending technology known as Internet of Things (IoT). By using the database, we can easily find out the passengers who are suffered in accidents and also to identify the passengers involved in any theft or other criminal activities. The transportation smart card will be used for passenger identification, secured transportation and cashless transactions. From this method, we can achieve potential and efficient mode of public transportation using smart card because of its usability, practicality and versatility.