Reviewerly/exHarmony huggingface dataset:
The Role of Employee Satisfaction as Mediator in The Relationship Between Rewards, Work Environment, and Employee Performance

Yemeni government institutions continue to lag behind other countries in terms of effectiveness. The emphasis in this study is on rewards systems. Thework environment that influences staff performance through staff satisfaction in Yemeni press institutions was identified. The current study can beviewed as an empirical attempt to connect a variety of topics. The proposed multidimensional model includes rewards; the working environment as acontrol variable; employee satisfaction as a potential mediator factor; and employee performance as a predictor variable. The survey information wasretrieved from 200 participants using a standard survey questionnaire of Yemen's general public press institutions. To continue investigating thecorrelation between different variables in the proposed theoretical framework model, a quantitative measurement model that also included EFA, CFA,and SEM was also used. The findings of this analysis revealed that the data may have fit the revised conceptual model, and the multivariate regressionanalysis revealed the aforementioned essential characteristics: it influences staff satisfaction and staff performance. Staff satisfaction is positivelyinfluenced by reward systems and the working environment, and staff performance is positively influenced by staff satisfaction. Employee satisfactionis indeed essential in mediating the correlation between employee performance and organizational success; reward systems; as well as workingconditions. The suggested conceptual framework model is estimated to account for 66% of the variation in effective employee performance as well as74% of the variation in employee job satisfaction. The findings shed light on the factors that could improve staff performance in Yemen's public pressinstitutions.
CHALLENGES ENCOUNTERED BY THE TEACHERS HANDLING ORAL SPEECH COMMUNICATION COURSES IN THE ERA OF COVID-19 PANDEMIC

The fundamental reason for this survey is to point out the challenges encountered by the teachers, students, schools, and parents in facing and handling oral speech communication subjects during the pandemic. Given that, most of the medium of instruction used is distance learning. It poses issues and concerns about how our respondents dealt with the situation. A descriptive- survey research design was used to obtain themes and phenomena to the questions provided. The questionnaire includes questions that seek to gather information on their basic profile, current experiences, and behavior towards the problem. It was found out that the different problems encountered by the teachers, students, school, and parents include the validity of the issue, the lack of motivation which was a very complicated problem because it deals with emotional readiness and stability, and the difficulty in comprehending the topics of the module because lessons are not explained personally by the teachers. Therefore, oral speech communication requires an in-depth shift in lesson delivery to cater to the needs for improvement.
Student Response on Reading Comprehension Learning Through the Zoom Cloud Meetings Application

The implementation of distance learning that is currently being carried out is a challenge for teachers.In implementing distance learning, teachers can use various online applications.One application that can be used is Zoom Cloud Meetings.However, in learning through Zoom Cloud Meetings, it is unknown how students respond to reading comprehension learning.This study aims to determine student responses to reading comprehension learning through the Zoom Cloud Meetings application.This study uses a descriptive method with a qualitative approach.The data collection technique used is a questionnaire.The results showed that the student's response to reading comprehension learning through the Zoom Cloud Meetings application is very well because the learning method is not dull.There are many features in the Zoom Cloud Meetings application that can be used for learning reading comprehension.Thus the use of the Zoom Cloud Meetings application can be used for reading comprehension learning.
On the Use of Geostatistical Cross-Association Method for Lithostratigraphical Correlation

The aim of this paper is to determine the effectiveness of cross association in detecting the similarity between correlated geological colum- nar sections. For this purpose, cross association is used to compare several geological columnar sections which are arbitrarily selected from different lo- calities in central and north Jordan. It turns out, for most of the study cases, that the sections which consist of the same rock units (formations) are statistically classified as similar (p-value � .05), while sections of differ- ent rock units (formations) are statistically classified as dissimilar (p-value � .05). Geologists get used to study rocks in outcrops or in drill cores. A sequence of sedimentary rocks may be divided up into a number of lithostratigraphical units usually of various sizes. Superimposed lithostratigraphical units are frequently distinguished from each other based on lithological properties and stratigraphical position. The formation is the fundamental unit of stratigraphy with definite lithological composition or a distinctive interbedded or intergraded succession of rock types that must be differ from the adjacent units above and below. The for- mations in a rock sequence named for some geographical localities that show typ- ical exposures of these formations (known as type sections), are usually traceable or mappable from one exposure to another or from well to well in the subsurface (Krumbein and Sloss, 1963; Doyle et al., 1994). Geologists can draw stratigraphi- cal sections for several outcrops (or cores) in an area, and trace beds from section to section that finally leads to what is known as lithological correlation. This type of correlation basically demonstrates the equivalency of rock units across an area. The matter of correlation between different geological sections is relatively easier if the formation in the vertical rock sequence is not so greatly different in its lithology and thickness from one place to another. However, in many cases
Load Balancing in Distributed File Systems

With the development of the system and expanding clients, and also rising new advancements, overseeing customary systems and adjusting heap of cloud servers to meet levels of popularity is a rising test. In this paper, a completely conveyed load adjusting calculation is displayed to adapt to the heap unevenness issue. The proposed framework utilizes Software-Define- Networking (SDN) rather than customary load balancers, which permits better system administration, control and arrangement authorization. The normal outcomes may show that the proposition is equivalent with the current unified methodology and it may impressively outflank the earlier dispersed calculation as far as load unevenness factor, development cost, and algorithmic overhead.
Finding Image Regions with Human Computation and Games with a Purpose

Manual image annotation is a tedious and time-consuming task, while automated methods are error prone and limited in their results. Human computation, and especially games with a purpose, have shown potential to create high quality annotations by "hiding the complexity" of the actual annotation task and employing the "wisdom of the crowds". In this demo paper we present two games with a single purpose: finding regions in images that correspond to given terms. We discuss approach, implementation, and preliminary results of our work and give an outlook to immediate future work.
Supporting STEM Learning With Gaming Technologies: Principles For Effective Design

In this paper, methods and models for the design of educational interventions and usable systems are presented and synthesized. The purpose is to suplliment the design process with educational considerations and discern design principles for the development of serious STEM games. This synthesis can contribute to the design of the next generation of technologically enhanced learning environments.
IMPLEMENTING QUESTION-ANSWER RELATIONSHIPS (QAR) STRATEGY TO IMPROVE STUDENTS’ READING COMPREHENSION SKILL (A Classroom Action Research at the Eleventh Grade Students of SMA Negeri 1 Rangkasbitung in 2012/2013 Academic Year)

Purpose – This action research was conducted to highlight how far the improvement of students’ reading comprehension skill after being treated by implementing QAR strategy and to find out the advantages when QAR is implemented in teaching reading comprehension. Design/Methodology/Approach – The research was organized at SMA Negeri 1 Rangkasbitung, Lebak - Banten. The subject of the research was the eleventh grade students, class IPS 3 . The design of it was an action research by covering three cycles, and every cycle consists of five meetings. Planning, acting, observing, and reflecting were implemented in every cycle to get a clear data. The research applied two sorts of data collecting: qualitative and quantitative data. Observation, recording, and interview were conducted to obtain qualitative data, while the quantitative data was gained through test. Findings – The research finding reflected that implementing Question-Answer Relationship (QAR) Strategy can help students in comprehending the text while answering the questions. The students were able to categorize the questions as well to avoid spending too much time while finding the answer. The implementation of QAR Strategy in teaching-learning process was getting better cycle to cycle, the students were energetic, active, enthusiastic, and felt much more confident to take a part in reading learning activity eventually. It showed that teacher’s teaching strategy had positive impact to students’ reading comprehension, and could arouse students’ motivation and participation as well to learn which greatly influenced their reading comprehension skill. Practical Implication – It is helpful for teacher as a framework for directing questioning activities and comprehension instruction in pre-, while-, and post-reading. Implementing QAR in reading comprehension can ensure that it does not only focus on lower-level skills and question but in high level as well and it can motivate students to think critically and creatively.  Considering QAR is helpful and beneficial for both teacher and students, the institution may implement QAR for any grades and school subjects in order to make students familiar with higher-level question. Therefore, it will be no longer difficult to comprehend the text for students who have been treated by implementing QAR. Keywords : Action Research, Question-Answer Relationships Strategy, Improvement, Reading Comprehension
Evaluation Of Rapid Development System Using Eye Tracker

This paper presents the results of the evaluation of Linear Axis Rapid Development System 10 (RDS), which is under development as part of a NSF funded project.The Linear Axis RDS is used in teaching control design/insertion in the Mechanical Engineering curriculum at a midsized midwestern university in the United States.The Linear Axis RDS has a graphical user interface with three main modes: simulate, emulate, and implement.The objective of this evaluation was to test the overall effectiveness of the Linear Axis RDS.A combination of qualitative and quantitative research methods were applied in the evaluation of thirty-four participants from the Mechanical and Aerospace Engineering Department at Missouri University of Science and Tech.The Technology Acceptance Model, a model that has been used extensively to study acceptance of technology was used to guide the study.Learning Styles and Learning Outcomes were added to study the learning effects of the system.Eye tracking was used in two of the tasks to provide both qualitative and quantitative data.Eye tracking is an innovative method that is increasingly being used in the field of human-computer interaction for usability studies, as it can provide useful insight into the cognitive aspect of the users.Based on the data analysis, a significant improvement was noticed in users interest after using RDS.Statistical analysis showed significant increase in career interest in science followed closely by enjoyment.Results from the analysis on learning outcomes suggest the RDS was perceived to have high real world applicability.Results also showed an increase in knowledge gained after using the system.The Technology Acceptance Model (TAM) constructs such as perceived ease of use (PEOU), perceived usefulness (PU), attitude (ATT) and intention to use (INT) were found to influence the learning outcome.Eye tracking results validated the results from the survey analysis.The gaze plots and heat maps indicated that the participants were able to identify important areas of the interface, such as tip box and help button, which were newly developed.Overall the results suggest that RDS is well received by the participants and is an effective learning tool
GRAMMATICAL ERRORS IN THE TENTH GRADE STUDENTS’ NARRATIVE WRITING

The present study examined the students’ grammatical errors and source of errors in their narrative essays. This was a descriptive qualitative research method with a case study design. 84 tenth-grade students of SMA X Surabaya in the 2012-2013 school year participated in this study. The source of data of this research included 84 copies of the students’ narrative essays written in English. The data were the grammatically incorrect sentences. The instrument used for data collection of this study was a narrative writing assignment. The collected data were then analyzed to discover the error types, their frequency of occurrence, and then their sources. The results showed that the grammatical errors which the students made in their personal narrative essays included errors in (a) verb form or tense, (b) shift in tense, (c) plurality of nouns, (d) articles, (e) adjectives or adverbs, (f) prepositions, (g) sentence construction, (h) subject-verb agreement (i) possessive pronoun and contraction, (j) sentence coordination, (k) fused sentence, and (l) pronoun reference. The sources of the above-mentioned grammatical errors included (a) interference from the students’ native language, (b) intra-lingual and developmental factors, (c) communication strategies, and (d) context of learning. The errors caused by interference from the students’ L1 included errors in phonology/orthography, morphology, grammar, lexico-semantic and style. The errors were also attributed by inter-lingual or developmental factors, such as overgeneralization, ignorance of rule restrictions, false analogy, hyperextension, hypercorrection, and faulty categorization. The communication strategies causing the errors included paraphrasing, substitution, words coinage, and language switch. The last source was context of learning which was caused by the teacher, teaching materials, or the order of presentation. The errors show that actually the students still have problems on grammar. Therefore, the students should learn more and the teachers should develop more material and teaching technique. And the teachers should also stress the comparison between Bahasa Indonesia as their first language and English as their second language.
Exploring Crosslingual Word Embeddings for Semantic Classification in Text and Dialogue

Current approaches to learning crosslingual word emebeddings provide a decent performance when based on a big amount of parallel data. Considering the fact, that most of the languages are under-resourced and lack structured lexical materials, it makes it difficult to implement them into such methods, and, respectively, into any human language technologies. In this thesis we explore whether crosslingual mapping between two sets of monolingual word embeddings obtained separately is strong enough to present competitive results on semantic classification tasks. Our experiment involves learning crosslingual transfer between German and French word vectors based on the combination of adversarial approach and the Procrustes algorithm. We evaluate embeddings on topic classification, sentiment analysis and humour detection tasks. We use a German subset of a multilingual data set for training, and a French subset for testing our models. Results across German and French languages prove that word vectors mapped into a shared vector space are able to obtain and transfer semantic information from one language to another successfully. We also show that crosslingual mapping does not weaken the monolingual connections between words in one language.
Development of environment design support mixed reality system capable of environment estimation using deep learning

Mixed reality (MR) is rapidly becoming a vital tool, not just in gaming, but also in education, medicine, construction and environmental management. The term refers to systems in which computer-generated content is superimposed over objects in a real-world environment across one or more sensory modalities. Although most of us have heard of the use of MR in computer games, it also has applications in military and aviation training, as well as tourism, healthcare and more. In addition, it has the potential for use in architecture and design, where buildings can be superimposed in existing locations to render 3D generations of plans. However, one major challenge that remains in MR development is the issue of real-time occlusion. This refers to hiding 3D virtual objects behind real articles. Dr Tomohiro Fukuda, who is based at the Division of Sustainable Energy and Environmental Engineering, Graduate School of Engineering at Osaka University in Japan, is an expert in this field. Researchers, led by Dr Tomohiro Fukuda, are tackling the issue of occlusion in MR. They are currently developing a MR system that realises real-time occlusion by harnessing deep learning to achieve an outdoor landscape design simulation using a semantic segmentation technique. This methodology can be used to automatically estimate the visual environment prior to and after construction projects.
DL4NLP 2019. Proceedings of the First NLPL Workshop on Deep Learning for Natural Language Processing

DL4NLP 2019. Proceedings of the First NLPL Workshop on Deep Learning for Natural Language Processing
The Readiness Of The Accountancy Players For The Implementation Of Artificial Intelligence

Artificial Intelligence (AI) is a conventional innovation by A.M. Turing. It is widely used in engineering automation and robotics area since 1950 while Industry 4.0 has been widely developed since 2013 in western country especially in Germany and United States. Industry 4.0, which is a subclass of the 4th Industrial Revolution, is also known as “smart factory”. It utilises cyber physical systems to monitor manufacturers’ real time physical progress which works well in a decentralized business environment particularly in making important business decisions. However, in Malaysia, its fast-moving development has been only introduced in the 20th century. Malaysian government has granted numerous tax incentives for the years of assessment between 2019 and 2021 for companies involved in Industry 4.0. The study aims to address the readiness of accountancy players; determine the internal strengths and weaknesses as well as external promising opportunities and underlying challenges towards users for adaption dan adoption of Industry 4.0; and identify the significant changing of accounting players’ roles. A focus group discussion and a series of interviews were conducted with six top audit firms which were top management that enable authorize AI implementation. Majority of them are ready to practice AI technology. There were more advantages as AI enhances functional effectiveness and efficiency which able to deal with million data, thus leads to cost saving. Nonetheless, some argued that it failed to meet user’s expectations, unable to detect discrepancies, and high cost commitment. Some significant changes of the accountants’ roles arose when jobs were replaced.
Politeness In German As A Foreign Language Learning Process In Pattimura University

Politeness is an important aspect of human interaction. In daily communication, misunderstandings often occur due to inappropriate use of language. This aspect must be taught in teaching and learning so that students are trained to apply it in daily communication. In fact, the teaching and learning process is often more focused on mastering vocabulary and grammar to support language skills rather than politeness. This study aims to obtain a picture of the level of politeness of students communicating in the context of German language and culture. How do they use the strategy to keep the face of their speech partner? When commenting, for example, do they deliver using direct speech acts or are they more likely to choose indirect forms. The results of the study illustrate that the knowledge of students' politeness in speaking needs to be improved. Although they have learned German, including its communication culture, students still use Indonesian patterns in communication. In asking their friends to do an action or by giving some comment, for example they are more likely to use indirect forms, lthough according to the context of communication actually considered polite if delivered with a direct pattern. That happened because they lacked in training how to use language in the context of German culture. For this reason, it is necessary to adjust the curriculum of the German department to accommodate politeness training process in speaking skills. Linguistics skills that are taught for certain communication contests such as asking for help, borrowing something, inviting, answering questions, making comments, rejecting, conveying information, giving opinions etc.must be complemented with an exercise in how that context authentically used in German culture.
LibGuides: Shark Tank: Resources

Resources to help with the completion of assessment task. Resource guide for assignment tasks.
Cinema science: 'Pi' and the rapture of complex mathematics

While its title already indicates one of its central mathematical topics of concern, Darren Aronofsky's cult paranoid thriller also offers ample prompts for senior secondary students to explore sequences, phenomena such as the golden ratio and Pythagoras' theorem, and more intricate concepts like irrational numbers and recursion.
Research on the Inspection and Management of Certificates in the Process of Professional Title Evaluation by Blockchain Distributed Management Technology

In addition to the rigid indexes of scientific research, papers, teaching materials and monographs, the flexible indexes of teaching, ethics, professional ability and performance contribution are also added in the process of the evaluation of the titles of colleges, enterprises and institutions. Among these flexible indicators, we can only measure and quantify them according to various awards certificates, and how to reasonably quantify and grade various certificates. This brings new requirements and new problems to the evaluation of professional titles. In view of the above-mentioned new requirements and new forms of the existing series of problems, the use of blockchain distributed management technology can well solve the existing problems.