Miracle-dz/UniFAR-FTUs huggingface dataset:
Socio-demographic and behaviour of obese people in the common of Tchamba (Togo)

The aim of this study was to examine the socio-demographic and behavioral profile of obese people in the municipality of Tchamba. We conducted a cross-sectional study examining the obese population of Tchamba Municipality during the period of 20 October to 20 December 2011. The sample of this study was characterized by female with a sex ratio F/H equal to 2.46. The age range of 46 to 60 years was the most represented (35%), and the most common occupation was that of merchant (52.20%). The food was predominantly carbohydrate type of cereals (maize, rice and yam) in all subjects with 85.60 % who were taking three meals a day. Snacking was practiced daily and rarely respectively for 13.33% and 67.80% of the subjects. It was more practiced by the female subjects (65.6%). The sport was not regularly used in 80% of cases. The socio-demographic characteristics most frequently observed within 3 degrees of obesity (lightweight, medium and severe) were as follows: female gender (respectively 64.44 %, 70.96 % et 92.85 %), the profession of trader (respectively 44.44 %, 54.83 % et 71.42 %), sedentary occupation (respectively 64.44 %, 80.64 % et 85.71 %), and not instruction (respectively 73.33 %, 77.41 % et 71.42 %). Behaviours observed among the subjects of our study were distributed as follow: Non sport (respectively 73.33 %, 83.87 % and 92.85 %), snacking (respectively 92.85 %, 9.67 % et 57.14 %), the number of daily meals (respectively 80 %, 90.32 % et 100 %). The main demographic factors observed among obese in our study were: female sex, age (from 46 years), and low levels of education. Sedentary lifestyle, snacking, taking more than 3 meals a day and not in physical exercise were the most found behaviors in obese subjects. Awareness campaigns should be directed towards these targets to promote healthy eating and participation in physical exercise to reduce obesity.
EXPERT EVALUATION OF SCENARIOS FOR INCLUSION OF EDUCATION ECOLOGY INTO NURSING STUDIES

Already back in the middle of the 19th century, nurse Florence Nightingale pointed out the importance of interaction between human beings and their environment. With the further advance of nursing theories and models, the 20th century nursing theoreticians highlighted man, environment, health and care as the key concepts in nursing. One of the most important achievements in further development of nursing theories is the health system model of Betty Neuman based on systemic approach which analyses interaction between the patient, medical staff and environment. The UN Resolution on UN Decade of Education for Sustainable Development (2005–2014) passed by the General Assembly in 2002 is of great importance in strategic development of education. Over the last thirty years, there has been a lot of research done on ecology of human development, education ecology and change in education in the context of sustainability. The authors of the present article have done extended research including reflection on their personal experience in professional education (L. Peks), practical nursing experience (R.Renigere) and teaching experience in different nursing study programmes. The authors have concluded that there is a contradiction between the nursing study programmes and current developments in nursing theories and models, especially taking into account the latest achievements in the development of education ecology. It is vitally important to include education ecology into nursing studies. A body of experts has assessed scenarios of education ecology inclusion.
Slotted Multiband PIFA antenna with Slotted Ground Plane for Wireless Mobile Applications

This paper presents the design of a new slotted PIFA antenna structure for multiband operation service. The proposed antenna is suitable to operate at several resonance frequencies for WiMAX, WLAN, HIPERLAN/2 applications by using genetic algorithm is presented. Genetic algorithm method is used to design the shape of the patch and the shape of the ground plane simultaneously in order to achieve multiband and wideband antenna instead of single band antenna.
A Survey on IoT Authentication Schemes

Internet of Things (IoT) is one of the emerging technologies in IT. IoT is an interconnection of devices and these devices can be accessed and controlled from anywhere in the world with the help of Internet. It indicates a direct integration of computing systems with the computing world. IoT facilitate a lot of unimaginable services and applications which may carry precious data. There originates a requirement to secure IoT from threats. The authentication is a challenging task due to heterogeneity in devices that are interconnected in IoT. Authentication allows user to communicate with the device in a secured manner. In this paper, we present various authentication techniques that are proposed in the past to provide security in the IoT along with the performance analysis of the techniques against attacks.
Analyzing Sentiments about Political Parties in Punjab Election 2017 using Twitter Data

Nowadays, most of the people generally used to give their opinions or their views on social sites like facebook, twitter, etc. Out of these, Twitter is mostly used social site which is practical for analyzing the sentiments about any query term. In this research work, the query is about Punjab elections 2017 regarding which we have taken a corpus of tweets about the query mentioned. Corpus are used by two or three annotators for the annotation process to determine its polarity about the three major parties in Punjab elections, 2017 i.e. Aam Aadmi Party (AAP), Congress party and SAD-BJP party. The positive or negative sentiments of tweets show that people either are in favor of the party or against it, if neither it is positive nor negative then it is considered as a neutral. After annotation, there are four classifiers we used i.e Lexicon approach, Naïve Bayes, Naïve Bayes with Binary features and Extension of Naïve Bayes using lexicon which define the positive, negative and neutral sentiments. After this, standard measure of evaluation (precision, recall, and f score) are used to find the accuracy of every approach.
Evolutionary Design of Multilayer and Radial Basis Function Neural Network Classifiers: an Empirical Comparison

Summary Artificial neural networks have been recognized as a powerful tool for pattern classification problems and have attracted a lot of research effort in the field of machine learning. However, optimal design of such models is known to be a notoriously hard problem. In this paper we investigate the effectiveness of a new hybrid evolutionary approach to address the optimal design of neural network based classifiers. The particularity of this approach lies in the use of two major techniques; the first one is to carry out an elite-based-reproduction strategy using either the compact genetic algorithm or a learning automata-based algorithm and the second one is the evolution itself driven by the differential evolution algorithm. The proposed approach is applied to both multilayer and radial basis function neural network classifiers. Different testing and training scenarios are presented using two classification benchmark problems, obtained from the UCI repository. Those scenarios are designed to provide an empirical comparison of performances of the two-classifier models and the most suitable elite-based-reproduction strategy used.
Compensation: Policies & Practices And Its Impact On Employee Commitment In The Hospitality Industry

Wage and salary administration is one of the most important areas of H.R. M. Wage and salaries represent a substantial part of total costs in most of the organization. Today's H.R management is caught between the conflicting interests or the employees and the employers. A good compensation plan is to motivate employees; job satisfaction controls compensation costs and ensures equity. Wage is compensation to the employees for services rendered to the organization. In case the quant urn of services rendered is difficult to measure, then the payment is called salary. Normally, the wage period is shorter than the salary period. Some experts argue that wages are the compensation of the wage earners, the numerous employees who use the tools and equipment’s for their employers to produce goods and services that are sold by their employers. There is a need to examine the significant relationship between compensation and employees’ commitment and determines compensation packages in an organization in the hotel industry. This paper examines and tries to compare the views of employees working in different hotels of Kolkata. This research is empirical in nature and is based on primary data collected directly from the concerned employees by means of interview and questionnaire to rate various criterion. The data so collected has been subjected to reliability tests and analyzed using SPSS 16.0. This study will help employers to understand employee needs and plan welfare and development activities more in line with employee requirements in order to increase efficiency and decrease attrition rates.
Secure and Energy Efficient CDAMA Scheme in Wireless Sensor Network Using DAS Model

-Wireless sensor networks (WSNs) are ad-hoc networks composed of tiny devices with limited computation and energy capacities. For such devices, data transmission is a very energy-consuming operation. It thus becomes essential to the lifetime of a WSN to minimize the number of bits sent by each device. Concealed data aggregation (CDA) schemes that are based on the homomorphic characteristics of a privacy homomorphism (PH) enable end-to-end encryption in wireless sensor networks CDAMA is designed by using multiple points, each of which has different order. it is designed for a multi-application environment. it mitigates the impact of compromising attacks in single application environments and degrades the damage from unauthorized aggregations. In the database-service-provider model to maintain data privacy, clients need to outsource their data to servers in encrypted form. So that time, clients must still be able to execute queries over encrypted data.
Experimental Optimization of Lead (II) Bioadsorption from Aqueous Solution onto Banana Stalk using Central Composite Design

This study investigated the effect of operating parameters on the bioadsorption process of Pb(II) from its aqueous solution using three Banana Stalk (BS) bioadsorbents [Raw (RBS), Acid Activated (AABS) and Base Activated (BABS) ]. A five-factor, three-level Central Composite Design (CCD) was applied to determine the effects of independent variables (initial metal concentration, contact time, temperature, adsorbent dosage and solution pH) on percentage Pb(II) removal. Response Surface Methodology (RSM) was employed to optimize the parameters in the experiment. AABS had the highest percentage removal (96.13%) from the preliminary experiment and was then used for the optimisation experiment. Data analysis showed that all the variables significantly affected the percentage Pb(II) removal at p < 0.05. The square of the adjusted coefficient of determination for regression model of percentage Pb(II) removal is 0.9355. Optimum percentage removal of 96.41% was obtained using AABS when the Pb(II) concentration, contact time, temperature, dosage and solution pH were 21.83g/mL, 152.21minutes, 50 o C, 0.90g and 8.00, respectively. There absolute error between the experimental and the predicted optimum percentage removal was less than 1%. Keywords: Banana stalk, optimization, bioadsorption, acid, base.
Međuodnos aktivnosti bolesti i kožnih promjena u nastanku i tijeku psorijatičnog artritisa

Psoriatic arthritis has been defined as an chronic, inflammatory arthritis associated with psoriasis that belongs to a class of arthritis called seronegative spondyloarthritides. The exact cause of psoriatic arthritis is still unclear. However, it is believed that the disease develops due to a combination of genetic, immunologic, and environmental factors. The diagnosis can easily be missed or overlooked because of the diverse clinical manifestations of this condition. It is characterized by synovitis, enthesitis, tendonitis, dactylitis and spondylitis, usually manifesting in a person with skin and nail psoriasis. Physical examination, laboratory findings, x-rays, and, sometimes, magnetic resonance imaging are used to diagnose psoriatic arthritis. Psoriatic arthritis is commonly thought to be a relatively benign arthropathy, but recent findings show that a significant minority of patients develop joint damage and deformities that progress over time and contribute to functional limitations. The skin disease and the joint disease often appear separately. Most people who develop psoriatic arthritis have skin symptoms of psoriasis first, followed by arthritis symptoms. Several studies have been published about characteristics of skin involvement in psoriastic arthritis, but comprehensive data about prevalence, severity of psoriasis and the development of arthritis are still lacking. These studies found that arthritis is more likely to occur in the more severe cases of psoriasis that affect certain body areas. Controversy regarding the exact nature of the relationship between the severity of the skin lesions and joint involvment still exists
Crestal Bone Resorption: An Assessment Cross-Section

The aim of this study was to conduct a cross-sectional analysis of panoramic radiographs of patients implanted with internal hexagon implants after 90 to 180 days of the implant insertion. Fifty-eight panoramic radiographs were selected, totaling 208 internal hexagon implants, with different diameters and placed by different surgeons with conventional surgical techniques. The selected patients presented no alterations or bone graft in the region and showed satisfactory oral health condition. Within the limitations of this study, it can be concluded that: 1There were no differences regarding bone resorption considering gender, race, maxillary and mandible; 2A significant difference only for women with larger implants with resorption; 3It can be seen that there implants with bone resorption without exposure to the oral environment; 4According to the data obtained verified that bone resorption cannot be only associated with the presence of microorganisms; 5The load may have about dental implants association but in the present study showed implants with and without the presence of resorption load.
Pre-Slaughter Control of Food-Borne Bacterial Pathogens in Poultry without Antibiotics

There is growing concern with regard to the continued emergence of antibiotic resistant bacteria, which pose a significant risk to both human and animal health. Antibiotics have been used as therapeutic agents in agriculture since the 1940 s and in subtherapeutic doses as food additives to improve feed conversion of livestock and domestic poultry since the 1950's. However, the use of antibiotics in the poultry industry, both at therapeutic and sub-therapeutic levels, is thought by some to add to the problem of the emergence of antibiotic resistant bacteria (Anonymous, 1999). The emergence of antibiotic resistant bacteria has been the basis for considerations to eliminate or severely restrict the use of antibiotics in the poultry industry. Such restriction would make the poultry industry vulnerable to an increase in bacterial disease of food safety importance. These diseases would significantly increase the risk of pathogen contamination of poultry products, increase the cost of poultry production, and decrease poultry welfare. Therefore, there is a real need to find effective and practical alternatives to antibiotics for poultry production.
HADOOP: A Framework for Distributed Computing

-With data growing so rapidly and the rise of unstructured data accounting for about 90 % of the data today, the time has come for the enterprises to re-evaluate their approach to data storage, management and its analysis. This enormously growing data has been given the name Big Data. Hadoop platform has been designed to tackle the problems associated with handling such an enormous data-that doesn’t fit nicely into tables. Hadoop framework implements Map-Reduce as its programming model and its own distributed file system HDFS in a scalable manner to store and manage terabytes of data. The basic concept used in Map-Reduce algorithm is to divide the task in hand into subtasks and clubbing together the intermediate result sets to generate the most precise result while HDFS has evolved as a better distributed file system than its predecessors in terms of reliability, availability and throughput. The paper illustrates the overall architecture of Hadoop. Given a data intensive application running on a Map Reduce cluster, the placement of data in Hadoop architecture and the workflow of MapReduce process is exemplified.
Smart Trolley System for Automated Billing using RFID and IoT

- An automated smart shopping system is formed by introducing the concept of IoT to connect all items in the grocery shop. In this system, an inexpensive RFID tag is embedded within each product. When the product is placed into a smart cart, the product detail is automatically read by the cart equipped with an RFID reader. Hence, billing is made from the shopping cart itself preventing customers from waiting in a long queue at checkout. Also, expiry date of the product is displayed and the damaged products can be identified with respect to its weight. Thus, expired and damaged products will not be considered for bill calculation. In addition to that, smart shelving is added to this system by introducing RFID readers that can monitor stock, perhaps updating a central server. Thus, inventory management becomes easier. Finally, the checkout points can validate the purchase made by a client. A prototype of a smart shopping system is also presented in this paper.
EFFECTS OF PERFORMANCE APPRAISAL ON EMPLOYEE PERFORMANCE IN PUBLIC UNIVERSITIES COAST, KENYA (A CASE STUDY OF TECHNICAL UNIVERSITY OF MOMBASA)

Performance appraisal is a component of performance management which is intended to increase efficiency and productivity of an employee and provides an opportunity to continuously review agreedupon objectives in the organization. The main purpose of this research project was to find out the performance appraisal on the employee performance in public universities in Coast, with the case study of technical university of Mombasa. Specifically, the study determined how rater accuracy, interpersonal factors and information factors affects employee performance at the technical university of Mombasa. Theoretically, the study was guided by Procedural Justice Theory, the Expectancy Theory and Goal Setting Theory. Descriptive research design was adopted for the study. The main instrument for data collection was questionnaire which had structured questions in the Likert-scale format for easy understanding by the respondent. By use of Krejie and Morgan formula, the sample size was 63 members selected randomly from the total target population of 72 members of the selected departments at the Technical University of Mombasa. Data analysis was done statistically by use of regression and correlation analysis by use of SPSS Version 20 to show the relationship between the variables. The information gotten after the analysis, was presented through tables and graphs. The data analysis showed that all the selected appraisal systems had a positive significance at 0.008 in the 95% confidence level on employee performance. The study recommended that rater accuracy, informational and interpersonal factors should be emphasized at TUM or any other public universities in the Kenyan coast and Kenya as a whole. A further study was also proposed on other similar organizations to check whether the findings could yield a similar result.
Effect of fluoridated dentifrices on surface microhardness of the enameleroded by Coca Cola

Aims: The purpose of this study was to evaluate the microhardness on the enamel surface eroded by coca cola (An in vitro) treated with four different dental toothpastes after erosion. Materials and Methods: 120 sound human maxillary first premolars extracted for orthodontic reasons were used in this study and randomly divided into 6 groups 20 teeth samples in each group:artificial saliva (control negative), coca cola then treated with artificial saliva(control positive). While the four remaining groups were eroded by coca cola then the samplestreated by four different dental Dentifrices [T1, T2, T3, and T4 then tested by indentation hardness test.The surface microhardness of the enamel surface was measured with a Vickers hardness tester at baseline, after erosion by coca cola and after remineralization by toothpaste. Results: The data analyzed statistically using one way ANOVA and Duncan test (p≤ 0.05) the mean surface microhardness in all groups decreased significantly after eroding with cola drink and increased after remineralization by artificial saliva and fluoridated dentifrice. Conclusions: Coca Cola reduce the enamel microhardness while fluoridated toothpastes and artificial saliva increase microhardness of enamel, SnF2 dentifrice showed better and higherremineralization aftererosion when compared to other groups.
Student Future Prediction System Under Filtering Mechanism

Information is progressively being utilized to improve regular day to day existence less demanding and. Applications, for example, holding up time estimation, traffic expectation, and stopping look are genuine instances of how information from various sources can be utilized to encourage our day by day life.In this period of computerization, instruction has additionally patched up itself and isn't constrained to old address strategy. The ordinary mission is on to discover better approaches to make it increasingly successful and effective for understudies. These days, loads of information is gathered in instructive databases, yet it remains unutilized. So as to get required advantages from such major information, amazing assets are required. Information mining is a developing integral asset for investigation and forecast. In this investigation, we consider an under-used information source: college ID cards. Such cards are utilized on numerous grounds to buy nourishment, enable access to various territories, and even gauge participation in classes. In this article, we use information from our college to investigate use of the college wellness focus and fabricate an indicator for future visit volume. The work makes a few commitments: it exhibits the extravagance of the information source, demonstrates how the information can be utilized to improve understudy administrations, finds fascinating patterns and conduct, and fills in as a contextual analysis outlining the whole information science process. One objective of this article is to show the information science process. As far as information accumulation, two arrangements of information—timestamp information from card swipes at the Student Recreation Centre (SRC) and client profile information—were gathered from our Management of University. The gathered information was cleaned and further prepared. At that point, exploratory information investigation was performed to find fascinating examples. General understudy practice patterns were found from the timestamp dataset. These incorporate yearly/month to month/every day frequencies of understudy visits to the SRC and pinnacle hours amid multi day