Reviewerly/exHarmony huggingface dataset:
Analytical Study in MT Applications VS HT of English Refugees Crises Headlines

This study seeks to uncover the types of errors produced by the MTs in refugee news headlines from English into Arabic, with reference Costa’s model of error analysis 2014. This research will be of valuable scientific benefit of university students in general and translation students in particular.  The results of this study were used as a guide for writing a thesis summary.   Four types of error classification were used: grammatical, lexical, semantic, and orthography. This study sheds light on the indispensable role of the human translator in correcting the errors that machine translation systems face in translating political terms, abbreviations, proper nouns, and others in refugee news headlines and revealing the best application of a mechanism among the selected systems that is closer to human translation and which has been able to overcome the most grammatical, semantic, lexical and spelling.
Current Situation of Students’ Portal and Their needs: A Case Study in Saudi Arabia Universities: Students Perspective

The Ministry of Education in Saudi Arabia has always been working closely with Saudi Universities to improve the quality information and communication technologies (ICTs) in order to provide good services to the students. Although having good ICT infrastructure in the Saudi Arabian universities, still the quality of the student portal needs to improve. Therefore, the goal of this paper is to identify the current situation of student’s portal and their needs in Saudi Arabia universities in order to improve their portal and encourage them to use the portal. An online survey questionnaire was collected from 91 students from various universities in Saudi Arabia. The result reveals that there is need to improve the student’s portal and there are some issues faced them to use their portal such as: lack in portal content, lack in training and guidelines which effect on students to use the portal. Thus, by providing good portal which involves student’s needs that will help the students in their study and also that will make the university to improve and develop the portal based on their student needs.
INFLUENCE OF EMPLOYEE COMPENSATION ON EMPLOYEES PERFORMANCE AT SELECTED SUGAR COMPANIES IN WESTERN KENYA

The objective of this research was to find out the influence of employee compensation on employee performance in selected sugar companies in Western Kenya. Equity theory underpined the study. The study adopted descriptive research design. The study population involved all the employees in selected Sugar Companies in Western Kenya who were 5000 in total. The sample size for this population was 357 employees. Data was collected by use of a questionnaire and analyzed using a statistical package for social sciences. Both descriptive and inferential statistics were used in analysis of the data. The validity of the research instrument was determined by the test-retest technique. The findings of the study resulted in an understanding that employee compensation influence employee performance. The findings of this study would assist managers assess what decision-making processes could be used to increase employee job performance. The research findings contributed to formulation of human resource practice policies by the sugar firms and and human resource professionals. Key Words: Compesation, Employee Performance CITATION: Kidagisa, F. C., &amp; Mukanzi, C. (2021). Influence of employee compensation on employees performance at selected sugar companies in western Kenya. T he Strategic Journal of Business &amp; Change Management, 8 (2), 133 – 144.
Pengolahan Citra Digital Pengolahan Citra Digital untuk Mengidentifikasi Kualitas Buah Kelapa Sawit dengan Metode Learning Vector Quantization (Studi Kasus : PT Jaya Gemilang Sukses)

PT Jaya Gemilang Sukses (JGS) is one of the companies engaged in the oil sector by producing Crude Palm Oil (CPO). In the process of processing oil palm fruit into CPO, PT JGS conducts the process of sorting palm fruit manually and subjectively by human vision. External factors such as fatigue, laziness, and limited number of workers can affect the process of sorting oil palm fruit. From these problems, a digital image processing application was built that was able to identify the quality of oil palm fruit. The digital image processing applied to the application is HSV color feature extraction (Hue, Saturation, Value) and GLCM (Gray Level Co-Occurrence Matrix) texture feature extraction. The results of the feature extraction are then input into the Learning Vector Quantization (LVQ) method, so the output of this system is the quality and maturity level of the oil palm fruit. Based on the results of the confusion matrix test, it can be concluded that the extraction of GLCM texture features is not appropriate because it is susceptible to rotation and cause the accuracy not too high at 43.75% in the maturity level classification and 78.125% in the quality classification. Based on usability testing, a percentage of 81.33% was obtained, can be concluded that workers at PT JGS strongly agreed that the system helped in the process of sorting fruit at PT JGS. Based on testing the LVQ method calculation, it can be ascertained that the source code used is correct and according to the algorithm.
Analysis of Net Trade, FDI and GDP Growth Using Cointegration, Vecm, Granger Causality and a Regression Approach: A Case Study of Sub Saharan African Region

Net trade and Foreign Direct Investment (FDI) are both important factors of economic growth and development in Sub Saharan African (SSA) region. Many different studies have shown the impact of trade and FDI in economy growth in SSA countries. However, few is known about the effect in SSA region in overall. To use these factors in policy making and development planning, the following questions need to be addressed. As both factors impact the economy growth, can net trade (NT) historical performance be used to forecast FDI? Is there any short-run or long-run relationship effect among GDP growth, FDI and net trade? This paper has implemented the cointegration methodology to analyze the impact of net trade and FDI on GDP growth, used the Vector Error Correction Model (VECM) for long-run and short-run relationship effect, an Ordinary Least Square (OLS) regression to determine the significant impact of FDI and net trade on GDP growth and finally the granger causality test. This study shows a positive long-run relationship effect of FDI on GDP. The positive short-run effect of both FDI and net trade is also detected on GDP growth. The regression result shows that net trade has a significant impact on GDP growth and finally from the Granger causality test, the study shows that net trade Grangercause FDI.
Applications for tracking close contact with covid-19 patients in Malaysia

This paper discusses the unending coronavirus (COVID-19) pandemic. The activity of detecting, testing those with symptoms and isolating their contacts is the most effective method of stopping the chain of coronavirus infection. The importance of the study is to identify smartphone applications that can track the movement of individuals in an effort to curb the spread of COVID-19, especially in Malaysia. This research method used a literature review, which included new insights into the quality of action and scientific papers. It synthesized information gleaned from a variety of sources. The findings of the study are that the Government of Malaysia has launched three main applications to track the movement of individuals, namely Gerak Malaysia, MyTrace, MySejahtera. Similarly, every state in Malaysia has its own state government application to track individual movements. Overall, Malaysia is one of the countries in the world that has successfully curbed the spread of COVID-19. COVID- 19 cases in Malaysia are under control.
Documentazione e biblioteche nell’aerospazio

Technical and scientific research has always been an important user of the most advanced information, documentation and specialized libraries services. From the end of the Second World War onwards, the role of structures for the access and management of information became increasingly central, due to the development of scientific knowledge and technological applications. Even in recent decades, despite the push towards disintermediation, a significant presence of specialist, library, documentation and information services, capable of supporting the development of research activities, is very strong. In Italy, in the aerospace sector, the Documentation Center of the CIRA, the Italian Aerospace Research Center, is one of these structures. The article aims to present its origins, developments and perspectives for the future.
The developed online mathematics learning tools in the phase of one to one evaluation for probability topic in vocational high school

This paper addressed the development of learning methods for online mathematics related to the ability of students to solve the probability problem. The study focused on the one-to-one assessment level. We interviewed a mathematics teacher and three students in this process, divided into low, medium and high mathematics skills. The result of the interview showed that it was easy to study and use our developed online learning resources to teach students.On the other hand, the student's online worksheet should provide an additional clarification because students of low and medium capacity will need guidance to solve the problem of probability. Overall, our developed online student worksheet was able to increase the student's ability to solve any given probability problem.
Financial Fraud Detection Using Deep Learning Approach

Financial misstatement and fraud detection is very crucial in text mining. The researchers use mostly quantitative data and data mining techniques for financial fraud detection. The textual data and text mining can also be used to detect financial misstatements and frauds effectively. For this reason, we have used MD&A reports for fraud detection purpose. This paper develops two models “Bag of Words” and “Deep learning” approaches to extract text classification features to be analysed by various classification techniques. With “Bag of Words” method the MD&A text is analyzed by Loughran and McDonald word list and gives Sentiment_TM scores ranged from -1 to 1. After data preprocessing the words are categorized in positive or negative word list. The scores are calculated by difference of positive and negative scores. The Deep leaning algorithms mainly automate the extraction of information from the data. Due to limited research in financial statement analysis the aim of this paper is to apply DNN over MD&A and analyze the sentiments for financial fraud detection and evaluate the performance of DNN. With Deep Learning method the MD&A text is analyzed by Alchemy Language API and gives the “Sentiment_DL” scores -1 to 1, where 1 represents positive sentiment, -1 represents negative sentiments and 0 represents neutral sentiments. It also provides the confidence score “JOY” ranged from 0 to 1. Here we are using four classification techniques for the two target variables “misstatement” and “fraud” with the sentiment features extracted by two models. The result shows that deep learning-based sentiment features performs better than others. it is also observed by the results that deep learning approach more effectively detects the fraud than misstatement.
The impact of E-marketing mix elements on chain stores performance in Jordan

The present study aimed at determining the effect of E-marketing mix on the performance of the chain stores in Jordan. The study relied on descriptive analytical methodology. The study population reached (8) commercial centers. The questionnaire was distributed to (156) questionnaires by (96%), and (6) were excluded due to their lack of validity for the statistical tests.The results of the study were found to be statistically significant at the level of (α = 0.05) of the components of E-marketing mix (product, pricing, promotion, location, individuals, physical evidence, operations) Market, and customer satisfaction) in Jordan. In light of these results, the study recommended a number of recommendations, the most important of which was raising the awareness of senior administrative leaders of the importance of marketing mix elements as one of the essential concepts in modern marketing and the need to develop elements of the marketing mix in terms of pricing, promotion and all its details.
Improved Hunting Search Algorithm for Web Service Composition Optimization

Abstract With the rapid development and application of Web services, the problem of Web service composition optimization based on Quality of Service (QoS) has become a research hotspot in the field of service computing. There are many researches on hunting search algorithm in continuous optimization problems, however, there are few researches using it to solve Web service composition optimization. In this paper, we propose an improvement on the hunting search algorithm (IHuS). It introduces an elite guidance strategy to accelerate the convergence of the algorithm, and at the same time it learns from the mutation strategy in the GA algorithm to improve the diversity of combined services. Compared with the standard HuS and GA algorithms, the experimental results demonstrate that IHuS has faster convergence speed and better optimization performance in solving large-scale Web service composition problems.
Accelerating the Convergence of Human-in-the-Loop Reinforcement Learning with Counterfactual Explanations.

The capability to interactively learn from human feedback would enable robots in new social settings. For example, novice users could train service robots in new tasks naturally and interactively. Human-in-the-loop Reinforcement Learning (HRL) addresses this issue by combining human feedback and reinforcement learning (RL) techniques. State-of-the-art interactive learning techniques suffer from slow convergence, thus leading to a frustrating experience for the human. This work approaches this problem by extending the existing TAMER Framework with the possibility to enhance human feedback with two different types of counterfactual explanations. We demonstrate our extensions' success in improving the convergence, especially in the crucial early phases of the training.
한국어교육 어휘에서는 무엇을 가르쳐야 하는가

This study was aimed at developing a discussion about what to teach in the vocabulary of Korean language education as a foreign language, the setting of vocabulary content elements. This was an approach in terms of pedagogical vocabulary in that it could not be applied to Korean language education without modification or interpretation of previous linguistic or linguistic research results in Korean language vocabulary. Reflecting that aspect, the content elements of Korean language education vocabulary as a foreign language could be established in the areas of Form (spoken/written/word parts), Meaning (form and meaning/concept and reference/associations), and Use (grammatical functions/collocations/constraints on use).
System characterization report on Planet’s Dove-R

First posted August 9, 2021 For additional information, contact: Director, Earth Resources Observation and Science Center U.S. Geological Survey47914 252nd Street Sioux Falls, SD 57198Contact Pubs Warehouse This report addresses system characterization of Planet’s Dove-R and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.Since 2013, Planet has launched more than 360 Dove 3U CubeSats, where U stands for 10-centimeter (cm) x 10-cm x 10-cm stowed dimensions, each weighing about 5 kilograms. Since 2015, all Dove satellites have had four-band imagers with about a 4-meter (m) pixel ground sample distance. Since 2016, all Doves have been launched into Sun-synchronous orbits varying from 474 to 524 kilometers, with inclinations between 97 and 98 degrees. The Dove series satellites do not have orbit maintenance capabilities; thus, their orbits decay slowly over time, contributing to shorter lifetimes of about 3 years. More information on Planet satellites and sensors is available in the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and from the manufacturer at https://www.planet.com/.The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that Dove-R has an interior geometric performance in the range of −0.306 (−0.102 pixel) to 0.286 m (0.095 pixel) in easting and 0.090 (0.030 pixel) to 1.084 m (0.361 pixel) in northing in band-to-band registration, an exterior geometric performance of −5.10 m (−0.51 pixel) in easting and 3.30 m (0.33 pixel) in northing offset in comparison to Sentinel-2, a radiometric performance in the range of −0.023 to −0.008 in offset and 0.948 to 1.077 in slope, and a spatial performance in the range of 2.96 to 3.15 pixels for full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.001 to 0.003.
LibGuides: Risk Management: Specialized Databases

This guide is for the subject Risk Management. It contains resources available in the NCU Library.
9.1 Orthography and Orthoepy

The model and literary variety of Tuscan has been a reference since the late Middle Ages and the Renaissance period. The use of Tuscan as Italian has provoked, even now, a long series of discussions about linguistic centralism (Florence and Rome) and polycentrism (outside the ideal regions of reference). The widespread oral use of Italian from the 20th century onward has created new dynamics in discussions about standard Italian and the acceptance of non-Tuscan/-Roman phonetic realizations, which can be found in most of present-day reference tools.
Religious Education. Ground for Soul Recovery

Religious education is an action specific to human spirituality and corresponds to the inner hope of the man to perfect himself morally and continuously reach for the resemblance with God through a clean and holy life, free from desires and sins. This action is developed progressively and consciously by the educator, according to the Christian moral principles and to a well-organized plan. It is sustained by love, trust, freedom and by the gift of God and, through its functions of improving and guiding the Christian soul, seeks the making of the moral-religious character with its perfection in the Christian personality.
High secured steganography using artificial Immune system

Picture steganography is a form of stege that conceals hidden host picture records. The skill and consistency of the host picture are essential factors in picture steganography, and there is a adjustment between stego picture quality and steganography algorithm efficiency. We introduce an picture steganography algorithm based on the AIS in this article as well as host picture partitioning Our suggested technique selects a block of the congregation picture and then occupations Artificial immune system to find the proper prototype for inserting message bits within the congregation picture's pixels. As a result, instead of scanning the whole picture for an embedding pattern, our process identifies the right template for rapid embedding.
Chapter 1. The Rationale for a Digital Repository in the Cloud

The process of building a digital repository can be a large and potentially difficult undertaking for libraries. A digital repository can be a valuable resource for patrons and community members but may require significant technology resources to successfully implement. Cloud resources can be used to create digital repositories that meet the needs of different institutions.
LibGuides: Future Production: Mining: Media monitoring newsclips

This guide was designed to support research. This Guide contains useful library and information resources and services provided by CSIR Information Services (CSIRIS). Click on the tabs above or the quick navigation side panel on the left to find resources
PEMBELAJARAN DARING MENULIS TEKS EKSPOSISI MENGGUNAKAN PENDEKATAN DEDUKTIF BERBANTUAN VIDEO ANIMASI

The based research is a problem in e-learning writing exposition text. The material of exposition text often not done because the student lack ability to write a text of exposition. The foregoing motivated researcher to make further analyzed about application e-learning writting exposition text make use approach deduktive assistance animated video as method learning. The purpose of researched is to describe a student difficulties in e-learning writing exposition text at aspects cognitive and psycho motor. The method used in this research is descriptive. The research sample is student of class VIII at SMPN 1 Ngamprah, with the quantity subject of 20 student. The research implemented with twice of learning meetings. The data collected through instruments of testing cognitive and psycho motor. The result of research showed that students have difficulty to complete both cognitive and psycho motor test. In cognitive test, the student have difficulty on solving the question about analyzing the structure and elements of exposition. Whereas in psycho motor test, student had difficulty to complete the spelling (EBI) aspect. After analyzed, it can be concluded that student difficulties in e-learning writing exposition text can be divided into two aspect. In cognitive aspect student had difficulty in analyzing the structure and element of exposition text, whereas in psycho motor aspect, student had difficulty in implementing the spelling (EBI) to the text.
EDUCATIONAL SUPERVISION: A THEORETICAL PERSPECTIVE

The concept of educational supervision has passed through several developmental stages and has now been conceived in a more democratic outlook. In the present period of Information technology (IT), which has now revolutionized the whole education process, supervision becomes a major instrument to ensure quality and to develop the standard of education. Presently, the scope of educational supervision is widened to comprehend the functions of an educational institution in the role of supervisors, upgrading the institution to facilitators in the process. The purpose of this paper is to study the different theoretical aspects contributing to this modern concept of educational supervision. In this paper, the researcher discusses educational supervision with respect to its objectives, types and functions. This will throw light on the theoretical perspectives of modern educational supervision.
SyDog: A Synthetic Dog Dataset for Improved 2D Pose Estimation.

Estimating the pose of animals can facilitate the understanding of animal motion which is fundamental in disciplines such as biomechanics, neuroscience, ethology, robotics and the entertainment industry. Human pose estimation models have achieved high performance due to the huge amount of training data available. Achieving the same results for animal pose estimation is challenging due to the lack of animal pose datasets. To address this problem we introduce SyDog: a synthetic dataset of dogs containing ground truth pose and bounding box coordinates which was generated using the game engine, Unity. We demonstrate that pose estimation models trained on SyDog achieve better performance than models trained purely on real data and significantly reduce the need for the labour intensive labelling of images. We release the SyDog dataset as a training and evaluation benchmark for research in animal motion.
Video streaming has 646,152 unique titles, says Nielsen data

There are 646,152 unique titles across streaming services, according to TV rating company Nielsen.