Miracle-dz/UniFAR-FTUs huggingface dataset:
Employer Perceptions of Workforce Preparation of the Graduates of the Health Information Management and Technology Program

Background: Harmonization of the outcome of educational programs and the actual skills requirement of the labor market is a necessity in all countries. Objectives: The objective of this study was to assess the perceptions of employers on whether the academic experience of HIMT alumni/ employees is properly suited to the work environment. Methods: A cross-sectional analytical study was conducted in hospitals where graduates of HIMT / alumni / employees had begun their careers at the current study time. A questionnaire was used. Results: All employers indicated considerable satisfaction with the ability of their employees (HIMT alumni) to function in multidisciplinary teams, to communicate adequately with clients and peers, to adhere to work rules and policies, to display interest and industry in work assignments, to understand of ethical issues, and with their ability to learn and use the computer and other modern tools of technology. Conclusions: All employers participating in this study demonstrated their satisfaction with HIMT alumni / employees, but indicated that there was, however, room for improvement. [Mona Faisal Al-Qahtani, Rawan Almansour, Abier Alharbi, Maha Aljasser, and Haifa Alsunaid. Employer Perceptions of Workforce Preparation of the Graduates of the Health Information Management and Technology Program. J Am Sci 2013;9(12): 282-286]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 39
Impact of an Educational Program for Pediatric Nurses on Non-Pharmacological Pain Management in Hospitalized Children

Hospitalized children suffer from a variety of types of pain which are not always adequately managed. The non-pharmacological methods may help relieving their pains. The aim of the study was to investigate the impact of an educational intervention program in pain management on nurses' self-reported use of non-pharmacological methods for preschool and school age children's pain relief. This quasi-experimental study was implemented on 52 nurses working in the pediatric wards affiliated to Port-Said, Port-Fouad, El-Nasr, and El-Tadamon General Hospitals in Port-Said city. A self-administered questionnaire form was used to collect data regarding nurse's personal characteristics, knowledge regarding pain in children, and self-report of the use of non-pharmacological methods. An educational program was developed and to improve their related knowledge and practice. The evaluation of the effect of the program was done by comparing pre to 3-month post findings. The fieldwork was carried out from September 2011 to January 2012. The results demonstrated very low nurses' knowledge of nonpharmacological methods for pain management before the intervention, with statistically significant improvements after the intervention (p<0.001). Similarly, nurses' adequate practice improved in cognitive behavioral methods (p=0.006), and physical and emotional methods (p<0.001). Multivariate analysis identified the attendance of the intervention program as the only independent predictor of knowledge score improvement, while knowledge score was the only independent predictor of the improvement in practice score. The study concludes that training nurses in the use of non-pharmacological methods of pain management in hospitalized children has a positive impact on their related knowledge and practice. Hence, similar training programs should be implemented in similar settings. The issue should also be incorporated in nursing schools' curricula. Further confirmatory research is suggested using more objective methods such as direct observation. [Amal Ahmed Khalil Morsy. Impact of an Educational Program for Pediatric Nurses on Non-Pharmacological Pain Management in Hospitalized Children. J Am Sci 2013;9(4):347-354]. (ISSN: 1545-1003). http://www.jofamericanscience. org. 47
Design Implementation and Frequency Analysis of Two stage and three stage Operational Amplifiers using C5 process for CMOS

: This paper discusses design methodologies and frequency analysis of two stage and three stage i.e. multistage CMOS operational amplifiers and analyse the effect of various parameters on the characteristics of operational amplifiers using submicron CMOS spice models specifically 300 nm C5 process CMOS technology. In this paper response curves are plotted for AC characteristics of 4 different topologies of 2 stage operational amplifiers are tabulated for suitable frequency ranges. Transients are also plotted from nanoseconds scale to microseconds scale. Subsequently FFTs are also tabulated at frequency range from 1 MHz to 25 GHz. By results and reasons it shows that two stage and three stage topologies are suitable choices for low voltage and high performance applications.
Detection of Diseases using Nail Image Processing Based on Multiclass SVM Classifier Method

: Human nail can be used for the prediction of various systemic and dermatological diseases. The proposed system – Nail Image Processing System using Multiclass SVM (NIPS-McS) helps us to create a model which can perform the analysis of human nail and thereby help us in predicting various diseases. The input to the proposed system is the Human Palm Image. The nail portion is segmented and nail color, shape and texture features are extracted and taken together to form a feature vector and then analysis of nail is done which is used for the diagnosis of various diseases. This proposed system will help the doctors in the early diagnosis of diseases.
An Efficient Implementation of Chronic Inflation based Power Iterative Clustering Algorithm

-In recent days the software plays a major role in application writing areas such that big data, it is used to store the information which is efficiently processed. Managing large datasets is one of the challenging task and also time consumption is also increases in large databases. In existing several serial algorithms were discussed but since some of the problems occurred hence while going to parallel data mining the efficiency and the speed want to take care. The problem statement is to find the failure and improve the effectiveness of learning algorithm. For parallel computing MapReduce is used as a programming model. This model helps to convert and redesign the existing sequential algorithm, in that the chronic inflation Based Power Iterative Clustering Algorithm (CIPIC) is proposed here to compute the Eigen vectors. When handling large data sets the CIPIC performs better result in MapReduce framework.
An Optimal Video Compression Using Block Separation with Absolute Moment Block Truncation Coding (AMBTC)

: Video Compression is a fundamental issue in Video mining, specifically it has been used to detect and remove anomalous objects from data. Video data's arise due to mechanical faults, changes in system behavior, fraudulent behavior, network intrusions or human error. In this paper presents an optimal Video Compression using Block separation with Absolute Moment block truncation coding (AMBTC) incorporates compression concept, which is the process of deriving the information from the unsupervised video database. An efficient compression detection and frame capabilities in the presence of ratio is based on filtering the data after compression process. Using the new AMBTC selection method between spatial and temporal prediction we show that our scheme is better than the state-of-the-art lossless compression algorithms
The Nexus Between Income and Foreign Direct Investment: Evidence from the Gambia

The purpose of this study is to empirically examine the dynamic impact of the stock of foreign direct investment (FDI) inflows on the aggregate income of The Gambia. In order to find the dynamic nexus, the ARDL model was used to capture both short-run and the long-run impact of FDI inflows. The result shows that FDI has a negative impact on income in the short-run. The bounds testing for cointegration showed that there is a long-run level relationship between income and FDI inflows, and the impact of FDI inflows on income in the long-run is positive. In order to examine the possible reason why FDI inflows have a different impact in the short-run and the long-run, the study empirically investigates how the interaction of FDI inflows and domestic investment affects income. The results showed that in the short-run FDI inflows crowded-out domestic investment and this led to FDI inflows to have a negative impact on income in the short-run. Moreover, the results also showed that in the long-run the FDI inflows complemented domestic investment and this led to FDI inflows to have a positive impact on aggregate income in the long-run. The conclusion drawn from this study is that the net impact of FDI inflows on the aggregate income of The Gambia depends on the degree of complementarity and substitution between FDI inflows and domestic investment.
The BER Analysis of MIMO System for M-PSK over Different Fading Channels using STBC Code Structure

High information rates inside the restricted frequency (RF) spectrum is often fascinating that results in radios with capabilities on the far side a single-input single-output (SISO) topology. In recent days introduced wireless systems have adopted multiple-input multiple-output (MIMO) topologies that use 2 or more transmitters and 2 or more receivers to send information at the same time over same RF bandwidth. The performance of MIMO system may be improved by involving multiple antennas at transmitter and receiver therefore on offer spatial diversity. during this paper, the performance analysis of MIMO system over AWGN attenuation channel and Rician Channel with ZF receiver is bestowed. The consequences of the antenna choice can even be analyzed from the simulated results. The BER (Bit Error Rate) performance characteristics of ZeroForcing (ZF) receiver is investigated for M-PSK modulation technique over the AWGN channel and Rician Channel.
Patricc: A Platform for Triadic Interaction with Changeable Characters

While social robots for education are slowly being integrated in many scenarios, ranging from higher-education, through elementary school and kindergarten, the use case of robots for toddlers in their homes has not gained much attention. In this contribution, we introduce Patricc, a robotic platform that is specifically designed for toddler-parent-robot triadic interaction. It addresses the unique challenges of this age group, namely, desire for continuous physical interaction and novelty. Patricc’s unique design enables changing characters by using dress-able puppets over a 3D-printed skeleton and the use of physical props. A novel authoring tool enables robot behavior and content creation by non-programmers. We conducted an evaluation study with 18 parent-toddler pairs and compared Patricc to similar tablet-based interactions. Our quantitative and qualitative analyses show that Patricc promotes significantly more triadic interaction, measured by video-coded gaze, compared to the tablet and that parents indeed perceive the interaction as triadic. Furthermore, there was no novelty-induced significant change in task-oriented behaviors, when toddlers interacted with two different characters consecutively. Finally, parents pointed out the benefits of changeable puppet-like characters over tablets and the appropriateness of the platform for the target age-group. These results suggest that Patricc can serve as the first gateway of toddlers to the emerging world of social robots. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI; • Applied computing → Interactive learning environments; •Computer systems organization → Robotic autonomy. Acm Reference Format: Omer Gvirsman, Yaacov Koren, Tal Norman, and Goren Gordon. 2020. Patricc: A Platform for Triadic Interaction with Changeable Characters. In Proceedings of the 2020 ACM/IEEE International Conference on HumanRobot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3319502.3374792
A critical review on White Spot Syndrome Virus (WSSV): A potential threat to shrimp farming in Bangladesh and some Asian countries

WSSV is one of the alarming pathogen all over the world especially for the tropical countries. It causes huge economic loss through rapid mortality of crustacean and some of important mollusks species. Immediately after occurrence in 1992, this disease continuously depletes the world aquaculture production. It is more severe in Asian country and high prevalence in winter sometime after heavy rainfall. Morphologically WSSV consists with a double strand DNA with a 6-7 nm thick envelope, a nucleocaspid and proteins. The nested PCR is the most reliable technique to detect WSSV DNA from shrimp products. Farmer should be given additional concern to prevent the outbreak this virulence virus. Therefore the current study aim is to focus on some biological and economical aspects of WSSV pathogen. This will be an useful reviews article for the aquaculture science. * Corresponding Author: Joyanta Bir  joy.fmrt@gmail.com Open Access REVIREW PAPER
ADSORPTION OF LEAD IN AQUEOUS SOLUTION BY A MIXTURE OF ACTIVATED CHARCOAL AND PEANUT SHELL

The presence of heavy metals in waste water is known to cause severe damage to aquatic life in which these heavy metals kill microorganism during biological treatment of waste water with a consequent time delay of the treatment process. Hence this research aims to apply low-cost adsorbents for simultaneous adsorption of lead from an aqueous solution. In this research, charcoals and peanut shells were used as low-cost adsorbents, which are abundant in nature, or are a by-product or waste material from another industry. The experiments were conducted using batch adsorption method. The effect of contact time, initial metal concentration, dose and pH on the simultaneous adsorption of lead were studied. The experimental results concluded that the better adsorption efficiency was obtained within 30 minutes of contact time. Furthermore, the adsorption of lead is higher when using a mixture of charcoal and peanut shell as adsorbent compared to the single adsorbent of charcoal. The maximum removal of lead on the charcoal and peanut shell was achieved when pH is 4 which is about 98.57 %. The surface morphology of charcoal and peanut shell before and after the adsorption process was observed under Field Emission Scanning Electron Microscopy (FESEM). Copyright © WJST, all rights reserved.
A STUDY OF PREVALENCE AND RISK FACTORS OF HYPERTENSION AMONG THE BANK EMPLOYEES OF BELLARY CITY: A CROSS-SECTIONAL STUDY

Decreased physical activities coupled with increased mental stress are contributors of hypertension. They are commonly seen amongst employees of the profession where working is sedentary and is accompanied by high level of mental stress. Bank employees fit in this picture and there is a need for study regarding the prevalence of hypertension for bank employees in order to educate them about prevention and life style modification for hypertension. Objectives to study of prevalence and risk factors of hypertension among the bank employees of Bellary city. A cross-sectional study was conducted in a setting of banks of Bellary city, Karnataka. The required sample size was calculated to be 290. A stratified random sampling was adopted where in first the banks were stratified into three groupsCorporate banks, Co-operative society banks and Nationalized banks. Within each strata bank employees were sampled based on population proportionate sampling method. Information on socio-demographic variables, family history of diabetes and hypertension, dietary patterns, level of physical activity, mental stress scoring, habits and anthropometric measurements and recording of blood pressure was done and the data was analysed using SPSS software version 16. The prevalence of hypertension among bank employees of Bellary city was found to be 48.5%. Socio-demographic factors like increasing age, married individuals, males and habitual factors like current alcohol consumers, current tobacco smokers and employees with lack of physical activity, overweight/obese, severe stress, and family history of diabetes mellitus had statistically significant association with hypertension. High prevalence of hypertension was observed among the bank employees and it was higher among employees with lack of physical activity, overweight/obese, severe stress, and family history of diabetes mellitus and who were current tobacco smokers and alcoholics.
Optimal Future for the Irrigation Agriculture

Fergana Valley is located in the Syr Darya basin, the density of Valley’s population is one the highest in Central Asia region (14 million people, or 636 people per km2). The Valley is shared by Uzbekistan, Kyrgyzstan, Tajikistan, competing for its water resources used for irrigated agriculture and hydropower (Figure 1). The risk of conflicts over water between upstream and downstream countries has been repeatedly estimated as very high [1,2]. Over the past fifteen years a number of small water conflicts arose due to the shortages of land and water resources Weinthal [3]. Local conflicts over water, especially in multiethnic districts, are likely to grow into full-scale military conflicts [4]. Before 1993 the annual agreem ents provided barter exchanges of water used for irrigation in summer for fuels consumed in winter, between upstream Kyrgyzstan and downstream Uzbekistan and Kazakhstan, regulated the relationships between the countries. The barter system collapsed, supposedly, due to the concerns over reliability of its implementation. Kyrgyzstan had to switch its Toktogul reservoir from “irrigation” to “energy” mode because of the internal energy deficit in winter period. The “irrigation” mode supposes that 75% of its annual water amount is released from the reservoir during the summer months. Meanwhile summer water release from the reservoir currently is reduced to only 45% of the total annual amount, falling short of the downstream demand by 2-3 bln m3 [5].
Using the Geneva Emotion Wheel to Measure Perceived Affect in Human-Robot Interaction

The ability to clearly communicate a wide range of emotional states is considered a desirable trait for social robots. This research proposes that the Geneva Emotion Wheel (GEW), a self-report instrument for measuring emotional reactions, has strong potential for use as a tool for evaluating the expression of affective content by robots. Factors that make the GEW advantageous over existing evaluation methods include: ease of administration, reduction in the importance of word labels, and coverage of ‘no emotion’ states. Statistical analyses of the GEW are proposed, isolating quantitative metrics of emotion distinctness. An experiment requiring participants to rate the perceived emotion of a social robot was conducted, employing the proposed methods. Analysis using the GEW revealed significant differences in the reliability of different expressions to clearly convey emotional states. The GEW provided a repeatable, systematic framework for estimating perceived affect of robot expression. Thus, the results suggest the GEW offers a powerful tool for design purposes as well as analysis. To support future research using the GEW, the software used for the analysis has been packaged and made available as an open-source resource to the community. CCS Concepts • Human-centered computing $\rightarrow$ Systems and tools for interaction design; HCI design and evaluation methods; User interface design; Visualization techniques; • Information systems $\rightarrow$ Sentiment analysis. ACM Reference Format: Adam K. Coyne, Andrew Murtagh, and Conor McGinn. 2020. Using the Geneva Emotion Wheel to Measure Perceived Affect in Human-Robot Interaction. In Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI’20), March 23-26, 2020, Cambridge, United Kingdom. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3319502.3374834
Online Top-K Selection in Crowdsourcing Environments

Identifying the top-K items in a set of items is a problem that finds applications in many areas, such as recommender systems, social review platforms, online contests, web search, and more. Crowdsourcing provides an effective way to collect input for such tasks with low costs and has attracted significant attention. We consider top-K problems in which the focus consists in selecting the set of top-K elements, regardless of their internal ordering. Past algorithms for top-K problems were generally based on a global sorting, which perform unnecessary work sorting elements that are all selected or all rejected. The exceptions are specialized crowdsourcing algorithms that have been proposed especially for top-K selection; these algorithms, however, require a fixed amount of work to be performed, and produce no useful intermediate answer. We propose here a dynamic top-K selection algorithm that uses crowdsourced comparisons to progressively classify items into selected in top-K, and rejected. As the comparisons proceed, more and more elements are accepted; intermediate results can be provided at any time by returning the already-accepted items along with the best among the ones that are still unclassified.We show that the algorithm we develop is efficient and robust with respect to comparison noise. We illustrate the performance of algorithm both analytically and experimentally, and show that our algorithm can achieve comparable precision in the selection of top-K items with less crowdsourcing work than previous algorithms.
Performance Analysis and Bandwidth Enhancement of Rectangular Microstrip Patch [MSP] Antenna using Compact Double „L‟ Slotted Technique for Broadband Applications

In this paper, a wide band double ‘L’ slotted rectangular Microstrip patch antenna is presented. The major advantage of the approach presented here is enhanced bandwidth. It can be seen that bandwidth of rectangular MSP antenna is increased to a great magnitude when ‘L’ slots are made on the rectangular patch. Applications where wide bandwidth is required, this designed slotted patch antenna is one of the alternative solutions. The proposed antenna has frequency band (2.07-4.32 GHz) of 2.25 GHz with fractional bandwidth of 70.42%. The gain has been improved up to 5.35 dBi, directivity 5.39 dBi and efficiency 99.7515 %. The proposed double ‘L’ slotted Microstrip patch antenna is fed by 50Ω Microstrip feed line and suitable for L, S, and C-band operations. The performance of proposed antenna structure is simulated by using IE3D Zealand simulation software based on method of moments.
Analysis of Radhard Standard Cells using a Digital Processing Element Architecture as Test Bed

: Several methods have been proposed for the testing of Radhard cells by ground for commercial purposes. Here we build a design which tests the Radhard cells in a parallel architectural process which limits the power consumption and gains more speed. This paper gives an idea about the design of digital processing element and the testbed architecture to analyze any set of library cells (combinational and sequential logic gates), for the simple economical and easy to use to evaluate and validate any set of library cells. These cells will be validated in the Simulation Design Environment of Cadence using gpdk 90nm technology. The testbed architecture building blocks that are based on Radhard Cells will be evaluated for Functionality, Power Consumption, and Performance. The analysis of Radhard cells plays an important role to eradicate radiation effects. This method also increases the speed to test the of Radhard cells. In this, RDPP processor is used since power is a major factor in space. This RDPP processor reduces consumption of power in space and it helps the circuit to function for longer durations.