Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of CRM on Customer Satisfaction Field Study on Jordanian & Saudi Bank Services

Due to the rapid expansion in banks and the severe competition for customers’ retention, banks have started using various marketing strategies to achieve their objectives. Customer Relationship Marketing is one of the marketing strategies that may be used in this respect. The study aims to investigate the impact of Customer Relationship Marketing on Customer Satisfaction in Banking Industry in KSA and Jordan. An e-mail questionnaire was designed and sent to 500 hundred customers of Arab Bank in KSA and Jordan, creating two sample pools of respondents. A total of 151 of the collected questionnaires were valid. The study findings show medium to high degrees of positive attributes of the two samples toward Customer Relationship Marketing dimensions (trust, commitment, communication, empathy, social bonding and fulfilling promises) on customer satisfaction. The findings also indicate different attitudes regarding the importance of Customer Relationship Marketing dimension between the two samples. The findings also indicate different results regarding the impact of Customer Relationship Marketing on customer’s satisfaction due to gender, age and educational level. Ultimately, the study suggested that Arab bank, whether in the study’s two selected countries, or in other countries where it has branches and operates from, should apply Customer Relationship Marketing in order to maintain its market share in the market.
Dynamic Routing for ADA in Wireless Sensor Networks

: Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field[1]. Gathering sensed information in an energy efficient manner is critical to operating the sensor network for a long period of time. Data collection problem is defined where, in a round of communication, each sensor node has a packet to be sent to the distant base station. There is some fixed amount of energy cost in the electronics when transmitting or receiving a packet and a variable cost when transmitting a packet which depends on the distance of transmission. If each node transmits its sensed data directly to the base station, then it will deplete its power quickly. Data aggregation[3][5] has been widely recognized as an efficient method to reduce energy consumption[4] in wireless sensor networks, which can support a wide range of applications such as monitoring temperature[4], humidity, level, speed etc. The data sampled by the same kind of sensors have much redundancy since the sensor nodes are usually quite dense in wireless sensor networks. To make data aggregation more efficient, the packets with the same attribute, defined as the identifier of different data sampled by different sensors such as temperature sensors, humidity sensors, etc., should be gathered together. However, to the best of our knowledge, present data aggregation mechanisms did not take packet attribute into consideration. Following this paradigm, numerous data aggregation schemes [6], [7], [8],[9],[10], [11], [12], [13], [14], [15], [16], [7], [18] have been proposed to save the limited energy on sensor nodes in WSNs. In this paper, we take the lead in introducing packet attribute into data aggregation and propose an Attribute-aware Data Aggregation(ADA) mechanism using Dynamic Routing which can make packets with the same attribute convergent as much as possible and therefore improve the efficiency of data aggregation.
Marascuilo Method of Multiple Comparisons (An Analytical Study of Caesarean Section Delivery)

Introduction: From last three decades it was observed that the trend of caesarean section delivery is increasing in Indian community. Further this trend is not uniform for its States. This rate differ from place to place with respect to urban, rural, tribal community and also with respect to type of institution either government or private. Techniques in inferential statistics are applied to assess these differences. In order to analyse the proportions of CS, statistical inference i.e. Z-test, Chi-square test and Marascuilo’s methods are applied. Material and methods: While sampling, in order to ensure the inclusion of villages, urban areas and tribal (Adivasi) regions two stage sampling is adopted. Observations and records from hospitals were used for collecting data. The data collection from these health care institutions was undertaken from 1 Jan 2009 to 31 December 2009. Data was analyzed on SPSS 22. Results: Rejecting the null hypothesis of equality of proportions by chi square test concluded that not all population proportions are equal. Because the result of the chi square test for equality of proportions does not specifically focus the significantly different pairs, there is need to use a multiple comparisons procedure that is the Marascuilo procedure which enables us to make comparisons between all pairs of groups. Conclusion: The rate of caesarean section is high in urban private sector and very low in tribal areas. A difference is statistically significant in all fifteen comparisons involving 6 population proportions.
Real Time Gesture to Audio Conversion using FPGA Based System

— Audio generation based on the real time video analysis is always been challenging and increasingly important task for embedded system design domain. Though it is the most effective way of communication, has still leftover many challenges. Dumb person make use of this system to communicate and express their opinions to the society. The intended system generates audio clip automatically with the help gestures captured in the image form from the CMOS camera module. The audio generation is carried out via three staged process: Image capture, Image comparison and audio generation. The realm of this paper is to portray the stage wise mechanism of audio generation and describing of various other features provided by this system.
Prevalence of overweight and obesity in medical consultation at the National Teaching Hospital “Hubert Koudougou Maga” of Cotonou / Benin

The objective was to assess the hospital prevalence of overweight and obesity outpatients medical consultation at NTH-HKM Cotonou. Methods: A cross-sectional descriptive and analytical study was conducted in medical consultation NTH-HKM Cotonou from June to September 2011. Overweight and obesity were identified from the Body Mass Index (BMI) calculated based on the formula weight (kg) / size (m) 2 . Overweight was defined by a BMI between 25 and 29.9 kg / m 2 and obesity BMI> 30 kg / m2. Results: Out of the 1,000 patients studied, 556 (55.6%) were females (sex ratio equal to 1.3). The average age of patients was 48.1 ± 14.5 years-old. Overweight was observed in 353 patients (35.3%) and obesity in 275 (27.5%). Male prevalence of overweight was 36.5% (162 out of 444 cases) against 34.4% for females (191 cases out of 556) (p = 0.48), while male prevalence of obesity was 16.9% against 36% for females (p <10 -7 ). These rates of prevalence increased significantly with age (p <10 -6 ). Occupation (housewife, unemployed) and marital status (married, divorced) were identified as associated factors. Conclusion: The high prevalence of overweight and obesity in our study calls for raising awareness about the lifestyle and the practice of physical activities among the population.
Combined exposure of di (2-ethylhexyl) phthalate, dibutyl phthalate and acetyl tributylcitrate: Toxic effects on the growth and reproductive system of zebrafish (Danio rerio)

This study examined the growth and reproductive toxicity of combined plasticizer mixture of two phthalate esters of di (2-ethylhexyl) phthalate (DEHP) and dibutyl phthalate (DBP) and one phthalate substitute of acetyl tributyl citrate (ATBC) to adult zebrafish after three-month exposure at an environmentally relevant concentration (50 μg/L). Obtained data demonstrated significant adverse effects on the growth and reproductive system of adult zebrafish, as evidenced by significant decrease in body lengths, weight and gonado-somatic index, impairment of fecundity, disruption of oogenesis and spermatogenesis, etc. Male zebrafish were more sensitive to the combined exposure with respect to relatively lower fecundity and testis in male were damaged more than the female ovaries observed. The maturation of oocytes was inhibited as evidenced by more underdeveloped perinucleolar and early cortical alveolar oocytes as well as atretic oocytes in the exposed ovary. In contrast, most of the spermatocysts were broken and almost all of the spermatogenetic cells of spermatogonia, spermatocytes and spermatids were lost in the exposed testis, inferring that Sertoli cells might be the main target cells of the combined plasticizer mixture and subsequent infertility of the exposed male fish. Thus great concerns should be raised on the reproductive safety of aquatic organisms when exposed to combined plasticizer mixture.
HYDROLOGICAL CHARACTERISTICS ANALYSIS DUE TO CHANGES IN LAND USE WITH THE SWAT MODEL IN THE KOTO PANJANG HYDROPOWER CATCHMENT AREA

This study aims to analyze the hydrological characteristics as a result of changes in land use with the help of the SWAT hydrological model and can provide recommendations on the best land use in the Koto Panjang Electric Power catchment area. Based on the results of the analysis using the SWAT hydrological model, it was seen that there were effects of land use changes in 2011 and 2014 on hydrological characteristics; yield of water (WATER YLD) of 2,413.38 mm, and 1.008, 65 mm, runoff coefficient (C) of 0.19 and 0.063 respectively, and river regime coefficient (KRS) of 11.449 and 12.212, respectively. The best land use to be developed in agricultural cultivation areas as a recommendation to maintain water stability in the Koto Panjang hydropower catchment area is a simple and complex agroforestry pattern in scenario III, which is run together with hydrological characteristics in the form; water yield (WATER YLD) of 1.038, 41, surface runoff coefficient (C) of 0.023, and river regime coefficient (KRS) of 11.13. The hydrological characteristics in scenario III are far better than 2014 land use characteristics (existing).
Power factor correction converter using ZVS switching

This paper proposes a soft-switched single-phase high-power factor ac/dc converter. This circuit is a combination of the buck converter and the boost converter. In this proposes topology boost converter work as a power factor correction (PFC). Which improve power factor and reduces total harmonic distortion (THD). buck converter further regulates stable DC output voltage Without using any active clamp circuit and the snubber circuit. Active switches of this converter can achieve zero voltage switching (ZVS) switching with high power factor that satisfies the IEC 61000-3-2 standards. A design example for a 60W converter supplied is simulated and designed.
Diagnostic accuracy of MR Angiography for follow-up of coiled intracranial aneurysms: state of the art

Poster: "ECR 2012 / C-2582 / Diagnostic accuracy of MR Angiography for follow-up of coiled intracranial aneurysms: state of the art" by: "D. Gabrielli, A. Giammarino, F. Modestino, D. Giancristofaro, D. pascali, A. R. Cotroneo; Chieti/IT"
Efficient Fingerprint Matching Based Upon Minutiae Extraction

Fingerprints are one of the oldest and most widely used biometric security measures. Rapid advances in Computer Science and digital Image Processing have made it possible to design various Automatic Fingerprint Identification Systems (AFIS) which can compare certain features of an input fingerprint image with a series of template images stored in a database and find a match. This paper deals with the extraction of certain specific features from a fingerprint, called minutiae. Since low quality images tend to generate multiple false minutiae, a method has been included to detect and remove such false minutiae. Fingerprint matching is performed by matching the number and type of the minutiae. The false minutiae removal process helps to reduce the computational complexity and improve the accuracy of the match.
Drug delivery and Nano carriers-A Review

Recently, a significant number of researches have been conducted regarding drug delivery systems. This biomedical felid is one of the most potential fields that could be a promising area to heal illness without side effect. This review will try to cover drug deliver definition and preparation of drug delivery chemicals. Drug delivery nanotechnology systems will be the focus of this research including preparation, types and Nano carriers. This is due to the importance of the use of nanotechnology mainly in various science fields and particularly in medical treatment. © 2017 ijrei.com. All rights reserved
Performance of Broiler Chicken Fed Diets Containing Cassava Peel and Leaf Meals as Replacements for Maize and Soya Bean Meal

A 49-day feeding trial was carried out in a completely randomized design to evaluate growth performance of broilers fed cassava leaf meal and cassava peeling meal used as replacement of soya bean meal and maize at 20% respectively. One hundred and eighty, day–old broilers Abhor Acre were randomly allotted to four experimental diets such that each dietary treatment was replicated three times with fifteen birds per replicate. Feed intake, body weight gain, feed conversion ratio of birds fed feed of groups A, B, C and D. Group A served as control (cassava leaf meal (0%) and peelings meal (0%)) were superior (p<0.05) to the group on B ( 20% cassava peelings -20% leaf meal), C (20% leaf meal -0% cassava peelings),D (20% cassava peelings-0% cassava peelings). The cut parts of the carcass showed superior values (p<0.05) in the A (control) treatment and they differed significantly (p<0.05) from broilers on to the group on B (20% cassava peelings-20% leaf meal), C (20% leaf meal-0% cassava peelings), D (20% cassava peelings-0% cassava peelings). Up to 20% inclusion of cassava leaf meal and 20% cassava peelings as replacement for soya bean meal and maize respectively could be used in both broiler starter and finisher diets without any deleterious effect on growth and carcass yield of broilers.
Efficient Decision Tree Algorithm Using J48 and Reduced Error Pruning

— Decision trees are few of the most extensively researched domains in Knowledge Discovery. Irrespective of such advantages as the ability to explain the choice procedure and low computational costs, decision trees also usually produce relatively great outcomes in assessment with other machine finding out formulas. Although the best decision tree induction algorithms, such as J48, had been developed some time ago, they continue to be regularly used for solving everyday classification tasks. In this work we aim to improve the predictive performance of these algorithms by mitigating three of their major disadvantages by Pruning Trees. Pruning decreases the complexity in the final classifier, and therefore improves predictive accuracy from the decrease of over fitting. This paper introduces a new decision tree algorithm based on J48 and reduced error pruning. Tree obtained is fast decision tree learning and will be based on the information gain or reducing the variance.
Factors and Variables Behind Social Networking Sites Usage

In recent years, people from across the globe started using social networking sites (SNS) widely. This increasing pervasiveness has been taking so many different forms among people, thus created new opportunities to study human behavior. Consequently, SNS attracted and prompted many researchers from all over the world to investigate and analyze individuals’ attitudes and behaviors behind SNS usage. One of the emerging tasks is to find different factors that drive people to use SNS. Another task is to find the common group behavior among SNS users. Our paper presents a framework to investigate factors behind SNS usage in Kuwait and detect and cluster users who have common group behavior for SNS usage. To do this, we designed a first draft questionnaire based on a pilot study semi-structured interviews with people from Kuwait, tested the questionnaire in different phases and modified it based on the feedbacks. Then designed a final version of the questionnaire and validated it by an expert. Factor analysis was conducted to extract factors behind SNS usage in Kuwait. In addition, Kolmogorov Smirnov test was conducted on our data to check its normality and the results indicated that our data was not normal. Thus non-parametric tests Kruskal willias test and the Mann-Whitney U test were use to examine the hypotheses of the study. In addition, follow-up tests (mean rank) were conducted to evaluate pairwise differences among the groups. Then based on the results a model of our independent variables and our found factors effecting SNS usage in Kuwait was proposed.
Genetic Algorithm based Parameter Identification of Three Phase Induction Motors

Induction motors are the work horse of the modern industry. A dynamical model of a 3-Φ induction motor is developed with an aim of parameter identification. Genetic algorithm based approach is used to demonstrate the concept of estimating the motor parameters from the experimental data. Parameter identification of the motor is achieved and the speed torque characteristics of the extracted motor parameters compared with the experimental data.
Visual Outcomes of Diabetic Traction Retinal Detachments Repaired with Silicone Oil Tamponade

Purpose: To identify factors impacting visual outcomes in diabetic traction retinal detachments (TRDs) repaired with pars plana vitrectomy (PPV) using silicone oil (SO) tamponade. Methods: Chart review was performed on eyes that underwent PPV between 2006 and 2012. 39 eyes were identified that had diabetic TRDs repaired with PPV + SO tamponade. Patients were grouped by final visual acuity (FVA). Eyes with FVA of hand motions or worse (poor visual outcome) were classified in group A, and those with FVA better than CF (good visual outcome) were in group B. A casecomplexity score (CS) was calculated for each TRD. Studied data for each group was compared using 2-tailed t-test for numerical data and chi-square for categorical data. These along with systemic factors (duration of diabetes, type of diabetes, use of insulin, presence of renal disease, dialysis, other comorbid conditions) and ocular factors (CS, comorbid ocular conditions, number of preoperative pan retinal photocoagulation treatments, and intraoperative and postoperative complications) were compared between the two groups. Results: 22 (56.4%) eyes were identified in group A, and 17 (43.6%) group B. Prevalence of macular involvement, insulin dependence, duration of diabetes, and mean CS was higher in group A eyes compared to that in group B eyes (95% vs 71%), (68% vs 35%), (19.33 years vs 10.60 years), (6.32 vs 5.41) (P < 0.05), respectively. Conclusion: High CS, macular involvement, greater duration of DM, and insulin dependence were more commonly with poor visual outcome in diabetic TRD eyes repaired with PPV and SO.
Capital Expenditures and Cumulative Abnormal Stock Returns. J. Appl. Bus. Fin. Res.2 (2): 50-58.;

One of the factors affecting the income is management’s correct and proper decision in relation to investments, including capital expenditures. If managers act as agent for the maximization of corporate value, it is expected to perform new capital expenditures that are made using high quality opportunities cause to increases the profit from stock price reactions to these expenditures. Forty-eight Tehran stock exchange listed companies between 2005 and 2010 have been selected as the sample of the research. In this study, the dependent variable is the ‍Cumulative Abnormal Return (CAR), and independent variables ar Unexpected Capital expenditure (UCAP), Growth Opportunities (P/B), Systematic Risk, The level of expected income and Firm size. The results about the effective factors on the main variables showed that the Cumulative market-adjusted return has significant and positive relation with unexpected capital expenditures, growth, risk, and expected income and firm size are not related to the cumulative abnormal returns. In other words, size factor would not cause any change in the information content of capital expenditure. Another result of the study is that capital expenditure has an additional content in compared to current income.
Automation Tool for Case Assignment

n a production environment with huge computation to be performed it’s easier to perform task by offloading tasks to machine instead of wasting man hours. Thus, an automated system has provided the organization the ability to perform the same tasks more efficiently with reducing the human errors. Hence with automation system in production it provides a better decision-making result. Annual survey of industries report 2018 states that more than 75% of industries are moving towards automation systems to perform tasks. The Worldwide Support pick up cases on a daily basis where each case is a specific problem pertaining to a certain customer. To make the process of the allotment of cases to the Support team much easier, the Support team uses Auto Case Assignment Bot. Auto case assignment Bot is a management tool that is used to suggest case to the Support Engineer’s based on their skills and based on shift timings and case priority. This bot manages to solve the problem of case assignment which reduces the disparity in the number of cases being assigned to each employee.
Privacy Data Control and Data Protection as a Service in Cloud Computing

: Offering strong data protection to the cloud users while enabling rich applications is a challenging task. Data protection in cloud has become unavoidable and is tremendously increasing feature in present scenario and in future. Many of the multinational organizations are interested in cloud computing and are excited about the features of the cloud. But they are worried about security, privacy and availability of the data as it rests in the cloud. As more and more sensitive information, privacy data is centralized in cloud, the data protection security and privacy issues must be strengthened tightly. I explore a new cloud platform architecture called Data Protection as a Service (Dpaas), which dramatically reduces the per-application development effort required to offer strong data protection, while still allowing rapid development and maintenance.
A III-V Group Tunnel FETs with Good Switching Characteristics and their Circuit Performance

— This paper explores suitable materials for tunnel FETs (TFETs) which have good switching characteristics. In all device simulations, total body of TFET is made up of group III-V and IV materials are simulated. Proposed InGaSb and InAlSb TFETs have high I ON /I OFF ratio and steep subthreshold swing. These TFETs are modeled and used for digital gate simulations. Performance is evaluated on the basis of average delay, dynamic and leakage powers. Silicon (Si) MOSFET whose structure is similar to TFET structure is simulated and modeled. MOSFET digital gates are simulated and their performance is compared with InGaSb and InAlSb TFET gates.