Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Customer Retention and Customer Loyalty in the Restaurant Industry in Ghana by Edward Markwei Martey

The purpose of this study is to investigate the relationship between customer retention and customer loyalty, the main objective is to investigate the impact of the constructs of customer retention on customer loyalty in the restaurant industry in Ghana. Out of five hundred (500) questionnaires distributed through convenience sampling method to the population, two hundred and nine (209) returned their questionnaires. With the aid of Statistical Package for Social Sciences (SPSS) the following statistics were employed: descriptive statistics, cranach’s alpha, kurtosis and skewness and regression analysis was used to measure the effect of independent variable (price, service quality, customer satisfaction, and brand image) on dependent variable (customer loyalty). The findings revealed that all four construct of customer retention; namely price, service quality, customer satisfaction, and brand image had a significant and positive relationship with customer loyalty. The research suggests that Customer Relationship Managers (CRMs) finds out what customers expect and serve them better and solve all customers’ complaints on time.
Prognosis of Glial Tumors with Cytomegalovirus: A Brief Review of Literature

The World Health Organization (WHO) classification system groups gliomas into 4 histological grades defined by increasing degrees of undifferentiation, anaplasia, and aggressiveness [1]. According to WHO grade IV tumors (glioblastoma and its varients), grade III tumors are (anaplastic variants of astrocytoma, oligodendrogliomas and oligoastrocytoma) and grade II are (diffuse astrocytomas, oligodendrogliomas and oligoastrocytomas). In this article we will be focusing on the malignant tumors with their survival rates Table 1 [2]. Human cytomegalovirus (HCMV) is a beta herpes virus infecting 7090% of general population and continue to live in host after the primary infection [3], it can cause serious complication on reactivation in fetuses or immune compromised. According to the studies it was to made clear that existence of HCMV components showed no significant correlation with the prognosis of glioma patients. The objective of this study was further emphasis on prevalence, genetic involvement and prognosis of CMV with the gliomas. Here in this review we will be discussing the:
Texture Classification with Feature Analysis: A Wavelet Based Approach

— Texture has been widely used in human life since it provides useful information that appeared on the surface of every object. The most common use of texture is to help everyone to identify different objects in daily life. Texture is also often involved in many important real life applications such as biomedical image processing, remote sensing, wood species recognition, etc. Such situation has encouraged extensive researches to be conducted on texture, such as texture analysis and texture classification under the computer vision field. This paper has conducted a research study on texture classification, by using Discrete Wavelet Transform and Local Binary Pattern with Naïve Bayes as the main feature extraction and classification method respectively. The objective of this work is to discover the main factors that will affect the performance of discrete wavelet transform and LBP during a texture classification process. The experimental results show that the developed texture classification system is able to achieve the highest classification rate at 100 %; such results have proved that the developed texture classification system by using Discrete Wavelet Transform and LBP is potential and worth to be implemented in real life applications.
Kynurenine-modified serum proteins are a new marker of cardiovascular disorders developing in type 2 diabetes

Objective(S): Cardiovascular disorder (CVD) is the major complication of type 2 diabetes. Tryptophan/kynurenine pathway has been related to CDV progression and diabetogenesis. In this paper, we will assess the presence of Kynurenine-modified serum proteins (KMSP) as a new predictor of CVD development in type 2 diabetes. Materials and Methods: Peripheral blood was obtained from 189 participants. The diabetic patients were classified into two groups: group DC (included 63 type2 diabetic patients with CVD) and group D (included 63 type2 diabetic patients without CVD). The group N (normal people) included 63 volunteers’ people. The presence of KMSP was assessed by homemade-ELISA method using highly specific monoclonal antibodies. Results: KMSP were significantly higher in diabetic patients and especially in DC group. Furthermore, KMSP level was only related with the onset of diabetes regardless of the presence of CVD. Conclusion: KMSP predicted CVD in type 2 diabetes and might participate in CVD development.
SUBJECTIVE CONTENT ACCESSIBILITY USING DATABASE APPROACH FOR DIGITAL LIBRARY

Today’s digital library is a massive collection of various types and categories of documents. The existing search engines do not provide subjective search from the collection, as no information about context is stored. The existing search engine mostly uses the agent based search then the database based search. The database search is simpler easier but static verses dynamic Web. The work shows how database become dynamic, subjective and search query becomes simpler. The subjective and context based search is necessity of searching in Digital Library. The user who may be researcher, students, and even common person expect subject or context and need content accessibility precise and subject specific. This paper presents the topic-word specific subjective search using the database approach in digital library, by data mining technique in warehouse.
Performance Analysis of Two Stage Spectrum Sensing Scheme for Cognitive Radio

: The operation of cognitive radio depends mostly on spectrum sensing. In cognitive radio systems, the main requirement of cognitive radio architectures is the ability to detect the presence of the primary user with fast speed and precise accuracy. The two-stage spectrum sensing scheme for cognitive radios has two stages as the name suggests. The first stage is known as coarse sensing and the second stage is known as fine sensing. The two sensing stages maximizes the probability of detection, given constraints on the probability of false alarm. In this paper, we illustrate the performance comparison between energy detection, cyclostationary detection and two stage spectrum sensing on the basis of probability of detection and mean time detection.
Survey of Protocol for Provisioning of QOS in MANETS

: A mobile ad hoc network is a communication network created from the group of a number of wireless mobile terminals. Consequently every and each node can be treating as a source, destination or routing node. The network topology alters dynamically. Though a meticulous analysis of performance can provide although about the reasons of performance degradation. Counteractive procedures to those causes might increase the performance. It is necessary to use an appropriate routing protocol base on the network environment. To obtain a valid route among a source and destination node is an imperative concern. In our research we have measured AODV & DSR as the routing protocol for the routine comparison at dissimilar pause time and traffic density. Multipath multicast routing protocol for provisioning of QOS in MANETs.
An Analysis of Genetic Algorithm and Tabu Search Algorithm for Channel Optimization in Cognitive AdHoc Networks

: Cognitive Radio Ad Hoc Networks (CRAHNs) constitute a viable solution to solve the current problems of inefficiency in the spectrum allocation, and to deploy highly reconfigurable and self-organizing wireless networks. Cognitive Radio (CR) devices are envisaged to utilize the spectrum in an opportunistic way by dynamically accessing different licensed portions of the spectrum. However the phenomena of channel fading and primary cum secondary interference in cognitive radio networks does not guarantee application demands to be achieved continuously over time. The limited available spectrum and the inadequacy in the spectrum usage necessitate a new communication standard to utilize the existing wireless spectrum opportunistically. Here, we discuss the existing mechanisms that are followed to improve the optimization of channel allocation in cognitive network. This paper compares the techniques used to optimize the Secondary User’s performance in Channel Allocation.
DIFFERENTIAL PRIVACY IN BIG DATA ANALYTICS FOR HAPTIC APPLICATIONS

Preservation of privacy in big data has emerged as an absolute prerequisite for exchanging confidential information in terms of data analysis, validation and publishing. Many new techniques have been suggested and implemented for privacy preservation in big data but unfortunately they seems to be failing due to the nature of big data, previous methods and traditional methods like k-anonymity and other anonymization techniques have overlooked privacy protection issues leading to privacy infringement. In this work, a differential privacy protection scheme for ‘big data in body area network’ is developed. Compared with previous methods, the proposed privacy protection scheme is best in terms of availability and reliability. “Differential Privacy” (DP) prevents unwanted re-identification and other privacy threats to individuals whose personal information is present in large datasets
“Flow Statistics Based Detection of Low Rate and High Rate DDoS Attacks”

- Distributed Denial of Service (DDoS) is a rapidly growing problem. DDoS attacks pose a severe security threat to the steady functioning of any network. These attacks degrade or completely disrupt services to legitimate users by eating up communication, computational, and memory resources of the target through sheer volume of useless traffic. The outcome of this fact is that legitimate users are denied service. Based on the volume of traffic used by the attackers, DDoS attacks can be classified as Low Rate attacks and High Rate attacks. Low rate DDoS attacks consume lesser resources for long time in contrast to High Rate DDoS attacks which consume more resources for less time. In this work “Flow Statistics Based Detection of Low Rate and High Rate DDoS Attacks”, an Entropy Based Scheme is used for effective detection of both low rate and high rate DDoS attacks. In this scheme, changes in distributional aspects of packet header fields are considered for effective detection. The simulation experiments are done in ns-2 simulator. Also a rigorous study is done on MIT Lincoln Laboratory Data Sets provided for the 1999 DARPA Intrusion Detection off-line evaluation. We detected both low rate degrading and high rate flooding DDoS attacks. In case of low rate degrading attacks, the entropy value increases than the value in case of normal behavior whereas in case of high rate bandwidth disruptive attacks, the value decreases. Also, we observed that there is a shift in the entropy distribution of individual flows in a time window.
Analysis of various fault prediction models for software and evaluation of its performance, validation

: Software systems are being utilized to solve or model increasingly sophisticated and complex problems in a variety of application domains. Software fault prediction has been one of the active parts of software engineering, but to date, there are few test cases prioritization technique using fault prediction. There are many models are developed for fault prediction in software development lifecycle. In this paper the analysis of various fault prediction models is proposed. It analyses various software faults prediction models and does the evaluation of its performance, validation
DELAY CONSTRAINT NETWORK STRUCTURE WITH IN-NETWORK DATA FUSION FOR WIRELESS SENSOR NETWORKS

- A wireless sensor network (WSN) comprises a large number of wireless sensor nodes Reduction in energy consumption in WSNs involves effective techniques such as In-Network data fusion and clustering. However, in a data aggregation process clustering introduces bottlenecks to a network which causes extra delay. In this paper, a delay-aware network structure for WSNs with in-network data fusion is proposed. To optimize intra-communication distance an optimization process is also proposed. Simulation results show that, when compared with other existing aggregation structures, the proposed network structure can reduce delays in data aggregation processes and keep the total energy consumption at low levels provided that data are only partially fusible.
Suppression of Conducted EMI using Random Modulation Scheme on Cuk Converter

--In this paper, power spectrum analysis of cuk converter carried out by using random modulation technique. Here particularly, the randomized carrier frequency and randomized duty ratio, with randomized pulse position modulation (RRRM) was used in cuk converter. Field Programmable Gate Array was used for implementing the random modulation schemes. Due to the tractability and controllability, FPGA was implemented. In this random modulation technique spread spectrum scheme was derived for cuk converter topology. Spread spectrum technique is one of the best way to spread the generated electromagnetic signal with wide range of frequency. Power Spectrum Density (PSD) analysis for cuk converter with RRRM and conventional PWM technique were studied. From the simulation results RRRM technique provide best PSD level when compared to conventional PWM techniques. The effect of proposed RRRM scheme was simulated by using MATLAB/SIMULINK. Index Terms — Cuk converter, Electromagnetic Interference (EMI), Random Modulation schemes.
Effects of Regular Walking on Chronic Idiopathic Constipation

Considering the insufficient research findings about the effects of physical activity on healing constipation, this research was designed to determine the effects of regular walking on chronic constipation. A total of 31 college students (mean age= 20.3) suffering from chronic constipation were randomly divided into two groups experimental and control condition. McMillan and Broussard constipation scale was employed to collect the data at the beginning and the end of the project. The treatment group participated in a regular walking program for two month every day for duration of one hour at their 60 percent of their maximum heart rate while the control group did not participate in any regular physical activity program. The results of analysis of data indicated that there was a significant difference between the mean score of intensity of constipation before and after the exercise program (p=0.0001). In addition, there was a significant difference between the mean score of the treatment group compared to the control group after the termination of the exercise protocol. It was concluded that walking program can be used to treat chronic constipation in inactive individuals who have no history of other diseases. [Hassan Barololoum. Effects of Regular Walking on Chronic Idiopathic Constipation. Report and Opinion 2012; 4(1):52-57]. (ISSN: 1553-9873). http://www.sciencepub. net/report.
Benefits of Green Tea : A Review

To determine the benefits of green tea in health and to do a review on benefits of green tea.Green tea has higher concentrations of catechins than in black tea . Catechin is a natural phenol and antioxidant, and is thought to be responsible for many of green tea’s health benefits.It is found that weight gain was greatly reduced by diets supplemented with many of these green tea components, but particularly with the diet which combined caffeine and catechin. green tea may actually help in the prevention of caries.Other benefits are increased thermogenesis (heat production), increased fat oxidation, increased glucose uptake in muscles, decreased fat content in liver, and increased fecal excretion of fats.This review is done to spread awareness among general population about the benefits of
Chronic Obstructive Pulmonary Disease (COPD): A Practical Approach for General Practitioners

The increased prevalence of chronic obstructive pulmonary disease (COPD) poses a significant medical concern worldwide. COPD, a complex, heterogeneous, and progressive lung disease characterized by persistent respiratory symptoms and airflow limitation, is associated with rapid deterioration in quality of life, high exacerbation and hospitalization rates. Early diagnosis and treatment is essential to slow disease progression and improve patient treatment outcomes. COPD is generally underdiagnosed or misdiagnosed and subsequently under or delayed treatments are of major concern in general practice. In about 52 91% of individuals with airflow limitation, COPD remains undetected. There are several guidelines that offer strategies for diagnosis and treatment of COPD. The Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines are used for worldwide COPD management, however, implementation and adherence to these guidelines clinically are limited. This can be attributed to lack of understanding or awareness of guidelines among physicians. Around 24% of general practitioners have reported that they are not familiar with the GOLD strategy. Current guidelines are large and complex and a concise guidance document is needed to further enhance utility and adoption of guidelines by physicians. We present a simplified, practical and accurate COPD guide outlining key diagnostic, assessment and treatment approaches in COPD. This document can serve as a practical guide to physicians, especially general practitioners, encompassing key aspects of the GOLD strategy. Furthermore, we also include much simplified and consolidated checklists for COPD screening and assessment of COPD comorbidities.
Detection & Deletion of DDOS Attacks Using Multi-clustering Algorithm

-Wireless sensor networks are mostly vulnerable to attacks. It’s difficult to find /track attacker due to mobility. Indeed, the numbers of new attacks as well as their sophistication are continuously increasing. Diametrically opposite strategy has been studied in the last few years such as unsupervised anomaly detection (UAD). UAD uses data mining techniques to extract patterns and uncover similar structures “hidden” in unlabeled traffic or unknown nature (attack or normal operation traffic), without relying on Digital signatures or baseline traffic profiles. Based on the observation that attacks, particularly the most difficult ones to detect are contained in a small fraction of traffic flows with respect to normal operation traffic so we propose a paramount advantage of unsupervised, knowledge-independent detection algorithms based on clustering. The main aim is to combine the clustering results provided by multiple independent partitions of the same set of flows and filtering out biased groupings. We focus on the detection and characterization of standard and well-known attacks, which facilitates the interpretation of results. Denial of service (DOS), distributed DOS (DDOS), network scans, and worm propagation are examples of such standard network attacks. The approach can easily be generalized to detect other kinds of anomalies and attacks.
Performance of Energy Efficient S-MAC Protocol for Wireless Sensor Networks

— Wireless Sensor Networks are often battery-powered, and hence extending the networking lifetime is one of the primary concerns in the ubiquitous deployment of wireless sensor networks. This paper introduces energy efficient MAC protocol used for wireless sensor networks. Energy consumption is the main problem in wireless sensor network. So minimize the energy consumption and make the life of sensor nodes. The S-MAC protocol is the solution. S-MAC protocol uses three technologies to minimize energy consumption and support self-configuration. The first, neighbouring nodes are synchronized to go to sleep periodically. Second, the synchronized neighbouring nodes make a virtual cluster to synchronize their wake-up and sleep periods so the control packet overhead is kept low. Third message passing is used to reduce contention latency and control overhead. In present work the cluster heads are formed, cluster heads was fixed and S-MAC protocol was simulated in NS-2 to study the performance in terms of network lifetime, energy consumption, cluster throughput, total power, and packet delivery ratio for cluster head.
Energy Efficient Communication for Adaptive MIMO Systems

- In this paper, we propose a mechanism which used to switch between single input multiple output and multiple input multiple output with maximum of two transmit antennas to reduce energy consumption at mobile terminals. when a base station is underutilized then to conserve mobile terminal energy slow down transmission rates so there need to have one crossover point on the transmission rate and below that SIMO is more efficient than MIMO when circuit power is considered but Crossover point is increases with circuit power, channel correlation and the number of receiver antennas these all the factors increase the potential energy savings in mode switching. We recommend an adaptive mode switching algorithm which combined with rate selection according to user perceived performance is acceptable that maintain a user’s target throughput and also conserve mobile terminal energy. Simulations under dynamic loads confirm that the recommended technique can reduce the transmission energy and also enables an effective tradeoff between energy conservation and file transfer delay.
Eosinophilia: An Ode to Lesser Known Facts

Eosinophils are deeply pink staining granulocytes with bilobed nuclei. Unlike neutrophils, eosinophils have a longer life span and can also recirculate from tissues. These cells have a crystalline core composed of an arginine-rich protein called Major Basic Protein with histaminase activity, which plays an important role in host defense against parasites. It also contains cationic proteins, some of which bind to heparin to negate its anticoagulant effects. Did you observe that? Eosinophils are like arch rivals to mast cells and basophils, because of its histaminase and heparinase effects that nullify the histamine and heparin released by the latter. Mast cells also facilitate this balance by releasing eosinophil chemotactic factors.