Reviewerly/exHarmony huggingface dataset:
Impact of Performance Appraisal System on Employee Engagement in Banking Industry: An Empirical Study

The Performance appraisal is one of the most significant (HRM) human asset the managerial practices as it yields basic choices necessary to different human asset activities and results. Performance appraisal is the efficient clearing of employees as indicated by their activity and potential turn of events. Performance evaluation has expansive ramifications for mentalities and practices in associations. Responses to appraisal and the evaluation procedure are accepted to essentially impact the adequacy and the general suitability of appraisal frameworks. Recently, employee commitment has gotten expanded consideration from analysts as a significant determinant of representative presentation. The Performance appraisal is fundamentally about what employees need to convey to drive the association's prosperity. It's an opportunity to review results, provide feedback on how results were achieved and confirm expectations. The purpose of the study is to find the role and impact of Performance Appraisal System on Employee Engagement in Banking Industry. The survey includes 288 respondents from the banking industry.It is concluded that most significant effect of performance appraisal system on the employee engagement when the employees says that “Employee's feedbacks are used for the company's improvement by the Performance Appraisal System” and it “Changes the behaviour of the employees” and it shows a significant Impact of Performance Appraisal System on Employee engagement.”
Impact of human resource planning on organizational performance

The goal of all associations is to improve their execution so the point of this examination is to research the hierarchical execution of 200 representatives of ufone and Mobilink establishments in Sargodha city.We are directing the exploratory factor analysis.Business profitability depends to some degree on how your HR division intends to spur and deal with your workforce.Representatives may create more when they are very much compensated, perceived and appropriate for the work they are allotted.When you comprehend that profitability isn't only a matter of encouraging specialists to accomplish more, you can work with HR on preparing to give a workplace where representatives will need to build their efficiency.
TEACHING READING COMPREHENSION USING GROUP DISCUSSION

English as the first foreign language in Indonesia has important learn. Some aspects in leaning English cover listening, speaking reading and writing. All aspects are crucial for learners to be mastered thus, reading can be the essential aspect of all. In English reading, the difficulties that occur during the lesson is the activity. It is necessary for teachers to establish a good reading activity to cover the teaching and learning activity. The author implemented group discussion to answer the problem in reading activity. The research is established by quantitative method quasi experimental design with pre test and posttest as the instrument of the research. The population is seventh grade students of SMP Negeri 4 CikalongWetan and the sample is 30 students of 7 A as experiment class and 30 students of 7 B as control class. The data collected is analyzed by SPSS using Mann Whitney U test with 0.05 level of significance. The result shows value of significance is 0.010 which is less than 0.05 coefficient level (0.010&lt;0.05) which shows that the null hypothesis is rejected. In conclusion, there is significant difference between students’ reading comprehension in both class.Key Words : Group Discussion, Reading Comprehension
Penerapan Algoritma Backpropagation dalam Memprediksi Hasil Panen Tanaman Sayuran

This study aims to see the development of the number of vegetable crop yields in the following year. With this prediction, it is hoped that it can help the government and the community to be more careful in increasing the supply of crop stocks in order to meet the food needs of the people of Simalungun Regency. The data source is obtained from the Central Bureau of Statistics. In this study, researchers used the Backpropagation Algorithm. The Backpropagation Algorithm is an algorithm that functions to reduce the error rate by adjusting the weight based on the desired output and target. The results of this study show that the best architectural model is the 2-1-1 model with an accuracy rate of 75.0% and an epoch of 1392 iterations in 00:07 seconds. This research is expected to be a reference material in other studies that have the same research object and as a consideration for the government in making an even more accurate evaluation system
Application Design on Islamic Online Learning

This study aims to design a learning system based on Islamic religious education.The method used in this study is a survey method using a questionnaire and observation method as a technique of collecting data about the Islamic learning system.The questionnaire was distributed to 20 respondents.The results of this study are the creation of an e-learning application to study Islamic religion an application that facilitate the process of teaching Islamic religious education by providing references book.The application also provides evaluations for the users.The conclusion of this study is that this Islamic learning application can make people easier to learn Islam.
Interactive Anomaly Identification with Erroneous Feedback

The difficulties in analyzing large and extensive systems necessitate the use of efficient machine-learning tools to identify unknown system anomalies in order to avoid critical problems and ensure high reliability. Given that data logged by a system include unknown anomalies, anomaly identification models aim to simultaneously identify the time of occurrence and the features that contributed to these anomalies. To maximize accuracy, it is important to utilize the data as well as the domain knowledge of the system. However, it is difficult for a system analyst to possess not only machine-learning capabilities but also domain knowledge to incorporate into the model. In this paper, we propose a new anomaly identification framework capable of utilizing feedback based on domain knowledge without requiring any machine-learning capabilities. We also propose a novel method, the so-called rank ensemble method, to improve the accuracy of anomaly identification with erroneous feedback, that is, feedback that in- cludes incorrect information. Our method enables erroneous information to be adaptively ignored by assuming consistency between the data and the user feedback. An intensive parameter study using benchmark datasets and a case study with real vehicle data demonstrate the applicability of our framework.
The Impact of Information Technology on Business Transformation in the Operating Telecommunications Companies in Jordan

The study aims at measuring the effects of information technology on the transformation of businesses in communication companies in Jordan. The study population consisted of companies' directors as well as their deputies, assistants, advisors, in addition to department managers and their assistants. The total number of the study subjects is 3 designated communication companies in Jordan; these are: Zain, Umniah, and Orange. To achieve the aim of the study, the researcher had prepared a questionnaire which comprises of 45 items covering the three factors of the independent variable (Information Technology): infrastructure, developmental environment, and executive support systems and applications, as well as the three factors of the dependent variable (Transformation of Businesses): operations, organization change, and workers' competence. In order to test the hypotheses, the following three criteria were adequately used: The Medians, the Standard Deviations, as well as the Regression Analysis. The study has reached a number of results; the most notable amongst these results is that there is a positive effect that is statistically significant of information technology on the elements of business transformation in Jordanian communication companies and all of their relating elements. The last decade of the twentieth century and the turn of twenty-first century witnessed significant progress in technology in general and information technology and communication in particular. Such progress still continues until today, accelerating with wide quick strides more than ever. This age has produced many mechanisms for manufacturing knowledge and more advanced technological means that have made the globe as a small village. Communication technology, which is represented by the internet, has played a huge rule in transferring information and technological revolution from the north to the south passing by the east and the west at the same time. All of that have had an impact on all political, economic, educational, teaching, social, media, and advertisement systems in all communities. The term technology is derived from Greek. It consists of two parts, techno, which means skills or art, and logy, which means science or study. Thus, the word technology means the science of performance, science of implementation, or the technical methods to achieve a practical purpose, the science of industrial operation.
PEMBELAJARAN TEORI PROBABILITAS MENGGUNAKAN R

In learning probability theory, if a series of statistical experiments is carried out several times, identifying the possible samples produced is not an easy thing. If this happens, then a significant probability problem will arise. The objective of this study is how to learn probability theory using R software. Based on the simulation results it can be concluded that by combining the syntax in R can be used to solve probability problems such as identifying sample points from experiments, events, event operations, probabilities and conditional probabilities. This will help students learning in understanding of the probability theory material. The use of R will be very pronounced for experiments with a large enough scale that results in a large sample probability.
IMPROVING STUDENT’S READING COMPREHENSION THROUGH ENGLISH SHORT STORY AT ELEVENTH GRADE OF SMAS NU CENTINI LAREN LAMONGAN

The focus of this teaching and learning activity is to improve students' reading comprehension through English short stories in eleventh grade students of SMAS NU Centini Laren Lamongan. Utilizing the existence of English short stories as a medium is expected to make a positive contribution to students through their characteristics that make readers feel happy. This research is a Classroom Action Research which is carried out by following John Elliot's model research procedures which include planning, action, observation, reflection or evaluation. The research was carried out in the eleventh class of SMAS NU Centini Laren Lamongan for the academic year 2019-2020 even semester totaling 50 students. The results showed that before being given learning using short story books in English, the average value of reading comprehension was 56 (8%) in the very low category. After learning reading comprehension was carried out using English short story book media in the first cycle the average value of students 'reading comprehension increased to 67 (38%), still in the moderate category, and learning was carried out in the second cycle the students' reading comprehension ability increased the average score. and a percentage of 77 (86%) with a very high category. By using this method, there was a fairly good increase for the students of SMAS NU Centini Laren Lamongan. In addition, other results obtained were students easier to absorb and understand English learning material and this activity was also the starting point for other activities. Keywords: Reading Comprehension, Short Story, CAR
Axiological fundamentals of professional training of future primary school teachers

Випуск 78'2020Серія 5. Педагогічні науки: реалії та перспективи tion in the educational process; you need to implement it in the classroom in pedagogical disciplines.It is noted that the technologization of educational and educational processes is based on the rejection of uncertainty in the construction of the pedagogical process and the transition to the correctness of its participants; thoughtfulness of each element, stage of technology; maximum focus on effective results.It has been proved that the use of the technological approach in the training of future teachers in the study of pedagogical disciplines is due to the need to improve training and introduce stages and predictability into the results of the educational process.
Marketing Expansion Strategies for Local Crops-Based Couscous in Tahoua State, Niger Republic

This study investigates the own-price and cross-price elasticities for locally grown crops-based couscous and compares confidence intervals computation for willingness-to-pay and market shares under Krinsky Robb and Delta bootstrapping methods. Syntheses of previous literature and a focus group with consumers had helped to identify nine brands of couscous included in this research. The fractional factorial design was used to collect data from three hundred consumers, while the multinomial logit was used to analyze data. Results indicate that rice, cowpea and millet-based couscous were the most preferred by consumers and their market share accounts of more than fifty percent. The Results from simulation showed that confidence intervals under Krinsky and Robb stabilize as a sample size increases and thereby adjusting for skewness. However, confidence intervals under Delta computation are constant regardless of sample size, thereby failing to adjust for skewness. Finally, results also indicate that skewness was also accommodated in confidence intervals for market share because its values progressively adjust as sample size increases. These findings may be useful to boost cropbased couscous demand in the study area and beyond and thereby improving farmers’ revenue and offering diet diversification opportunity.&#x0D; Keywords: Marketing expansion, Strategies, Local crops, Couscous, Willingness-to-pay
DEVELOPMENT OF AR-PHONETICS: AN AUGMENTED REALITY BASED APPLICATION FOR IMPROVING ENGLISH PRONUNCIATION LEARNING

A. Carrera Rivera , J. Samaniego Villarroel, S. Vasconez Miranda, A. Mayorga Alban, D. Valencia RuizUniversidad de Guayaquil (ECUADOR)
SEGMENTATION OF KIDNEY STONE REGION IN ULTRA SOUND IMAGEBY USING REGION PARTITION AND MOUNTING SEGMENTATION ALGORITHM (RPM)

One of the safest techniques for disease diagnosis which can be used in any part of the body is ultrasound imaging. The cost when compared with MRI, PET etc are higher than using ultra sound images is the one of the major reason. Further, it is an efficient technique for initial diagnosis and it is free from any radiation exposure. This paper concentrates on segmentation of kidney from abdominal ultrasound images. There are many common ailments affecting kidney. Hence conducting study on this segmented image becomes easy with an efficient segmentation technique. In this paper Various algorithms to pull out kidney regions from abdominal ultrasound images which are discussed by many researchers are also investigated. Due to the complicated internal organs of the abdominal region, extraction of only the kidney region is very challenging and is the major drawback of ultrasound imaging. a new technique where the collected abdominal ultrasound image is cleaned, to remove unwanted noise produced due to various interferences has been processed by this paper, the kidney region is segmented after applying the filtering technique. the subjected to Region indicator contour segmentation method to extract the renal calculi which is the region of interest in this study is this extracted kidney image. with a reasonable number of dataset and applied the statistical performance test to check for the accuracy , the method is experimented .
Robust Digital Image Watermarking in YCbCr Color Space using Hybrid Method: A Survey

This paper provides the conceptual framework on image watermarking which is widely used for security purpose within the epoch of data and Communication Technology. Image watermarking is predicated on the concept that the signal may carry several different watermarks at the identical time. The signal is also audio, pictures or video. Security issue in watermarking is because of enlargement of internet within the present paper the primary phase detailed description of watermarking has been on condition that data set are prepared on which watermarking technique are executed. In the second phase detailed working of the various techniques of image watermarking have to locate a selected watermarking technique which is able to provide appropriate ends up in term of PSNR and interval and various attacks are tested on images so implemented method must stand against various attacks. In final phase reverse process are executed to extract host and watermark image. There are many viable attacks. Spotting is an algorithm which is applied to the attacked signal to infusion the watermark from it. During the research work our main focus will be to enhance various critical paramters like PSNR and execution time so that better outcome can be attained.
The Impact of Human Resource Management Practices and Job Satisfaction on Employee Performance in the Ministry of Foreign Affairs of Kuwait

The current study aims to examine the human resource management practices and job satisfaction on employee performance and examine the mediating role of job satisfaction in the ministry of foreign affairs of Kuwait. The survey included 212 employees are working in the ministry of foreign affairs of Kuwait. The results of this study indicated that human resource management practices have a positive direct effect on employee performance. Moreover, the results of this study indicated that human resource management practices have a positive direct effect on job satisfaction. The results of this study indicated also that job satisfaction has a positive direct effect on employee performance. Regarding the mediating role, the results indicated that job satisfaction mediated the impact between human resource management practices and employee performance. Organizations should implement human resource management practices to strengthen and boost their future performance. As organizations should increase the level of job satisfaction in order to improve the performance of employees. This study recommended replicated the context of this study in other sectors in Kuwait such as the health care sector, education sector, and private sector.
Advances in Low-Resource and Endangered Languages

This paper reports on the approaches and results for the collection, analysis, and processing of low-resource and endangered languages carried out under the Low-Resource Languages for Emergent Incidents (LORELEI) Program1. LORELEI was a multi-year research and development program designed to discover new methods of quickly ramping up human language technology capabilities for low-resource languages, grounded in situations such as humanitarian and disaster relief use cases. The goal was to advance human language technology methods to better enable rapid, low-cost development of capabilities, with a focus on developing methods that apply to languages of any type from any language family, thus eliminating the need to tailor specific technologies to a narrow set of input languages with specific typological characteristics. We report in detail on evaluation scenarios developed for the program.
Approximate Bayesian Computation Applied to Model Selection and Parameter Calibration in Cell Proliferation

Approximate Bayesian Computation is used in this work for the selection and calibration of cell proliferation models.Four competing models based on ordinary differential equations are analyzed, by using the measurements of the proliferation of DU-145 prostate cancer viable cells during seven days.The selection criterion of the ABC algorithm is based on the Euclidean distance between the model prediction and the experimental observations.The Richards Model and the Generalized Logistic Model were selected by the ABC algorithm used in this work, providing accurate estimates of the evolution of the number of viable cells.Bayes factor revealed that there was no evidence in favor of any of these two selected models. INTRODUCTIONCell proliferation is numerically given by the difference between the numbers of newlydivided and dying cells.In order to predict the number of viable cells, several mathematical
Temporal Outlier Analysis

The main focus of this research is temporal data.Temporal data means data depends on time.A large number of applications generate a set of temporal data.For example, in our daily life there are different types of records such as credit, personal, financial, judicial, medical, etc.All depends on time.This highlights the need for a detailed organized study of temporal outlier analysis.Over the past decade, a great deal of research has been done on various types of temporal data, including consecutive data snapshots, a series of data snapshots, and data streams.In addition to initial work on time series, the researchers focused on rich data types that include multiple data streams, spatio-temporal data, network data, community distribution data, etc.Compared to general outlier analysis, the techniques for temporal outlier analysis are very different, such as AR models, Markov models, evolutionary clustering, etc.
Licensing of nominal ellipsis in Hungarian possessives

We argue, based on novel data, that the possessor head (Poss) can license ellipsis of its complement in Hungarian. That is, contra existing claims in the literature, possessor morphology can survive nominal ellipsis and be stranded on the remnant. Adopting Saab &amp; Lipták (2016)’s of ellipsis licensing, we propose that there is variation in the size of the ellipsis site in Hungarian: nominal ellipsis can be licensed by either Num or Poss. We further propose that nominal ellipsis licensed by Poss can capture a previously unanalyzed variation in the Hungarian possessive pronoun paradigm. Specifically, the two variants of possessive pronouns correspond to two different structures: one is the anaphoric possessive (see Dékány 2015), while the other exists only as a consequence of nominal ellipsis, which, as we show, is a productive possibility.
FRAME SAMPLING ASSISTED DEPTH MOTION MAPS FOR DEPTH BASED HUMAN ACTION RECOGNITION

The discovery of depth sensors has brought new opportunities in the Human Action Research by providing depth image data. Compared to the conventional RGB image data, the depth image data has additional benefits like color, illumination invariant, and provides clues about the shape of body. Inspired with these benefits, we present a new Human Action Recognition model from depth images. For a given action video, the consideration of an entire frames constitutes less detailed information about the shape and movements of body. Hence we have proposed a new method called Frame Sampling to reduce the frame count and chooses only key frames. After key frames extraction, they are processed through Depth Motion Map for action representation followed by Support Vector Machine for classification. The developed model is evaluated on a standard public dataset captured by depth cameras. The experimental results demonstrate the superior performance compared with state-of-art methods