Reviewerly/exHarmony huggingface dataset:
PENGARUH SISTEM INFORMASI MANAJEMEN DAN KOMPETENSI TERHADAP KINERJA KARYAWAN PT. DIRGANTARA INDONESIA (PERSERO)

PT. Dirgantara Indonesia (Persero) cooperates with Airbus Military to develop CN235 aircraft into CN295. So with the development of the aircraft, Airbus Military requires PT. Dirgantara Indonesia (Persero) to fix the entire production flow in accordance with the specifications of Airbus Military both from human resources, machinery, work environment, systems, and others. One such improvement is the enactment of SAP program management information systems. Research with the title Effect of Management Information Systems and Competence on Employee Performance of PT. Dirgantara Indonesia (Persero) , conducted with the aim to determine the effect of management information systems on the performance of employees of PT. Dirgantara Indonesia (Persero) Bandung, the influence of competence on the performance of employees of PT. Dirgantara Indonesia (Persero) Bandung, and the influence of management information systems and competencies on the performance of employees of PT. Dirgantara Indonesia (Persero) Bandung. The population in this study were all permanent employees at PT. Dirgantara Indonesia (Persero). The sample size is 97 permanent employees, sampling using simple random sampling technique. This type of research is a quantitative method by collecting data through questionnaires then analyzed with the help of SPSS Version 20. The data analysis technique uses descriptive analysis and associative analysis (multiple linear regression analysis). The data sources used in this study are primary data obtained from respondents who have been determined by researchers and attendance data of permanent employees as many as 97 people obtained from the Human Resources Department of PT. Dirgantara Indonesia (Persero) as secondary data. Based on the results of the study, it shows that management information systems have a significant influence on the performance of employees of PT. Dirgantara Indonesia (Persero), with a regression coefficient of 0.789 (p-value = 0,000). Competence has a significant influence on the performance of employees of PT.Dirgantara Indonesia (Persero), with a regression coefficient of 0.584 (p-value = 0.007). Management information systems and competencies together have a significant influence on the performance of employees of PT. Dirgantara Indonesia (Persero) of 64.4%.
DEVELOPMENT OF CIVIC COMPETENCIES OF STUDENTS: NEW APPROACHES AND PRACTICES UNDER NUSH

The article emphasizes that the formation of civic competence of students is one of the key tasks of the New Ukrainian School. The need to form a citizen of Ukraine, for whom a democratic civil society is a center for the disclosure of his abilities and capabilities, the satisfaction of personal and public interests, is emphasized. An analysis of modern approaches to the formation of civic competence of students, in particular through the introduction of education fordemocratic citizenship (EDC) and human rights education (HRE) in the educational process of GSEI. It is noted that this is a new direction in education, which is the subject of international attention and educational strategies. EDC / HRE is based on competency, activity, personality-oriented approaches that are a priority in creating an educational environment. The peculiarity of education for democratic citizenship and human rights education is that the content, forms and methods of teaching are built in the dimension of «learning about / for / through democracy and human rights», which enriches the role of teacher and student in the learning process. The leading idea of this direction is to encourage children to become active citizens who are able to participate in shaping the future of society through the teaching of democracy and human rights. In Ukraine, the implementation of EDC / HRE is carried out thanks to the Swiss-Ukrainian project «Development of civic competencies in Ukraine» – DOCCU. It is noted that today in European countries and in our country there is experience in developing and implementing training courses on EDC / HRE, which requires dissemination and detailed study by teacherspractitioners,educational experts and scientists. The experience of introducing education for democratic citizenship (EDC) and human rights education (HRE) into the educational process of the New Ukrainian School is generalized.
Translation Memory Retrieval Using Lucene

Translation Memory (TM) system, a major component of computer-assisted translation (CAT), is widely used to improve human translators' productivity by making effective use of previously translated resource.We propose a method to achieve high-speed retrieval from a large translation memory by means of similarity evaluation based on vector model, and present the experimental result.Through our experiment using Lucene, an open source information retrieval search engine, we conclude that it is possible to achieve real-time retrieval speed of about tens of microseconds even for a large translation memory with 5 million segment pairs.
Емпіричне дослідження самотності жінок з порушеннями слуху

International scientific conference «Modern European psychological and pedagogical education. The development of a creative learning environment» : conference proceedings, October 8–9, 2021. Łódź, the Republic of Poland : “Baltija Publishing”, 2021. 162 pages.
A Study on Priority of the Supply Chain Quality Management Activities Using AHP in Food Industry

In this study, it was intended to present activities of high relative importance by deriving the priority of implementing SCQM activities. It was analyzed through the AHP technique by consisting of three factors in the first layer and nine factors in the second layer of SCQM activities. As a result of the analysis, it was found that internal quality management is a priority over quality management of suppliers and customer quality management in the front and rear of the supply chain in food companies, including food safety. Academic implications were presented in empirical studies, revealing the results of the importance of quality management within an enterprise as the implications of this study. It also provides practical implications by providing a basis for determining which factors should be paid more attention to in order for domestic food companies to derive quality performance.
THE EFFECTIVENESS OF USING “BUSUU” IN TEACHING SPEAKING

This study aims to determine the effectiveness of the Busuu application on the speaking skills of students who were tested in class X SMK Darulullum Kuningan in the 2020/2021 school year. To find out whether the Busuu application is effective or not, the researcher used a pre-experiment based research that was applied in class X. The study was conducted in 3 meetings which were designed as follows: the first meeting for the pre-test, second meetings for the treatment and the last for the post-test. As a quantitative method, data analysis was carried out using a paired simple t test. The results showed that there were significant differences in students who were taught using the Busuu application as a media. The average score of the students' pre-test was 61,875. Then in the post test, the average score for the class is 73,750. In other words, the use of Busuu application media is used in teaching speaking to effective class X students.Speaking skill
Dimensionamiento de un Sistema Fotovoltaico en la Ciudad de Quevedo para Uso Residencial

The sizing of a small photovoltaic system of a residence in the city of Quevedo is presented, with the objective of analyzing solar photovoltaic installations as a measure to promote the use of distributed generation in homes and the reduction of costs to be paid for electricity consumption. The load profile of the residence is made through personal estimates and the global horizontal solar irradiation and temperature data are obtained from NASA's Surface meteorology and Solar Energy (SSE) weather database. They will then be entered into the HOMER Pro software for the respective simulations with different types of photovoltaic systems.
Making the strategic goals as hypotheses in software startups: The role of hypothesis driven development and Agile methodologies

A problem faced by many managers today in software-dominated startups is reconciling a strategic vision, which delivers value to customers quickly, and adapt to changing circumstances. Understanding which customers are critical and their needs, are significant for any business. But getting to know these particulars can be a real challenge. Unfortunately, some managers still find engaging with the following questions and struggle to make sense out it: How to prioritize which customer segments to target? Which customer opinions to listen? What features might please today's customers and what might displease them? This ‘uncertainty is considered as failure’ and should be scaled down in order to be consistent in delivering the products that customers love. Startups should look at a strategic goal as a hypothesis to be tested instead of something to be planned and executed. Startups need to learn by sophisticated experimentation, adapt and continue with the next experiment faster than their competition. The startups should apply certain product development methodologies that re-conceive its efforts as experiments that test its strategy to see which parts are brilliant and which are crazy. A true experiment follows with a clear hypothesis that makes prophecies about what is supposed to happen. The goal of an experiment is to discover how to build a business that sustains around that vision. This paper provides information about Agile and Lean methodologies, and how these methodologies can be tailor-made and applied to formalize the strategies as the hypothesis concepts, which contribute to the endeavors of successful startups.
Designing LSB based Steganographic Approach Using Randomization Process

The term “security” is a very important which is concerned with the safe guarding the objects. The object can be documents of a company, precious metals belonging to a person, cash, etc.  To secure these precious objects, people depend on hiding them. The term hiding is a common term used in security for the safety purpose. For example, to secure the precious metals people use the locker services so that it will be hidden. Similarly, companies depend on cryptographic techniques to hide the document information. Further, if the information embedded with images and videos needed to be hidden means a technique called steganographic process will be useful. Steganography alludes to data or else a document which needs to be hidden inside a computerized image, audio-visual or sound record. In the event that an individual perspective the item the person in question will have no clue about that there is any secret data. Thusly, the individual won't attempt to decode the data. The technique steganography is the most common way of concealing restricted data in an unsuspicious cover object. The technique is used for concealing, actual occurrence of correspondence using the method of implanting secret messages into harmless looking cover archives, like advanced pictures. If both the technologies cryptology and steganography are combined together, it can do wonders in security areas.
Analysis of Risk Management Assessment on Quality Control Services using Framework COBIT 5

Quality Control referred to in PT.Woolu Aksara Maya Yogyakarta is controlling the process of making the company's web application so that it is hoped that there will be no errors that occur in the company's web application.However, in reality, there are still errors in the application so that the business processes carried out by the company are still not optimal, because there are still many application features that are still not running well.The purpose of this research is to assess the Capability Level (maturity level), calculate the value gap, and provide recommendations by the APO12 (manage risk) and EDM03 (ensure risk optimization) domains.The risk management assessment in this research uses the COBIT 5 framework using the APO12 (process domains manage risk) and EDM03 (ensure risk optimization) which include stages of data collection, risk analysis, risk profile, risk articulation, risk tolerance value, how to respond to risk, evaluate risk management, and direct risk management.The stages of research conducted in this research have three stages of analysis the research, namely determining the current capability level and the expected level, conducting analysis gap, and providing recommendations and suggestions for improvement.The research method used is the Quantitative Analysis Method.The results of the research are the current capability level for the APO12 domain (manage risk) with a value of 2.87, which means that at level 2 (managed process), it means that IT processes in the service of Quality Control PT.Woolu Aksara Maya Yogyakarta has been carried out, achieved, and managed well.The level of capability expected by PT.Woolu Aksara Maya is at level 3 (established process.Domain APO12 (manage risk) gets a value gap of 0.13.Domain EDM03 (ensure risk optimization) gets a capability value of 3.00 (established process) and the results of calculating the Gap value get a value of 0.00.The recommendations generated in this research are by the expected goals.
Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction

Relation extraction systems require large amounts of labeled examples which are costly to annotate. In this work we reformulate relation extraction as an entailment task, with simple, hand-made, verbalizations of relations produced in less than 15 min per relation. The system relies on a pretrained textual entailment engine which is run as-is (no training examples, zero-shot) or further fine-tuned on labeled examples (few-shot or fully trained). In our experiments on TACRED we attain 63% F1 zero-shot, 69% with 16 examples per relation (17% points better than the best supervised system on the same conditions), and only 4 points short to the state-of-the-art (which uses 20 times more training data). We also show that the performance can be improved significantly with larger entailment models, up to 12 points in zero-shot, allowing to report the best results to date on TACRED when fully trained. The analysis shows that our few-shot systems are specially effective when discriminating between relations, and that the performance difference in low data regimes comes mainly from identifying no-relation cases.
Digitalization of Traditional Classrooms: A Students' Perspective

COVID-19 is fiercely hurting the field of academics and education. Millions of learners and teachers and educational institutions have been adversely affected. Educational institutions have scrapped traditional physical classroom teaching during these challenging times and have adopted e-learning models. However, there exist many discrepancies in the process of digitalization of classrooms. Therefore, this present study aims to evaluate the ramifications of the COVID-19 pandemic on the education sector and provide a student-oriented perspective to address the challenges in this process. The study is based on an independent online survey conducted by authors in which 212 undergraduate students of one of India’s prestigious universities, the University of Delhi, have participated. The survey unveiled that many colleges are arranging online classes for students via various technological platforms available such as Google Meet, Zoom, MS Teams, Skype, etc. However, it has been observed that almost half of the students are attending classes irregularly and do not possess requisite study material for self-study. The survey reports that many students face depression and anxiety-related problems during the lockdown period. Other issues include improper internet connectivity and the non-availability of the devices. About three-fourth of students have expressed their concerns that education may become a costly affair for them as their family income dwindles. The study stresses developing more innovative and interactive teaching methods, as online teaching is monotonous and dull. COVID-19 has led to a decline in the students’ family income, making education costly to many students. More innovative teaching practices for better learning experiences and adequate funding of the educational institutes for infrastructural development is the need of the hour.
Selection of Notification Based on Priority Scale with Fuzzy Algorithm

Notification is one method that works as a marker that there is information waiting to be read. But along with the times, notifications are increasingly filled with information that is considered less important for device users. So there needs to be a breakthrough to overcome this. This study aims to design a system that can help users sort out notifications that are considered important. It is proven that the system can sort notifications based on the given metrics.
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)

A central goal in deep learning is to learn compact representations of features at every layer of a neural network, which is useful for both unsupervised representation learning and structured network pruning. While there is a growing body of work in structured pruning, current state-of-the-art methods suffer from two key limitations: (i) instability during training, and (ii) need for an additional step of fine-tuning, which is resource-intensive. At the core of these limitations is the lack of a systematic approach that jointly prunes and refines weights during training in a single stage, and does not require any fine-tuning upon convergence to achieve state-of-the-art performance. We present a novel single-stage structured pruning method termed DiscriminAtive Masking (DAM). The key intuition behind DAM is to discriminatively prefer some of the neurons to be refined during the training process, while gradually masking out other neurons. We show that our proposed DAM approach has remarkably good performance over various applications, including dimensionality reduction, recommendation system, graph representation learning, and structured pruning for image classification. We also theoretically show that the learning objective of DAM is directly related to minimizing the L0 norm of the masking layer.
Recommendations Without Results: What We Learned About Our Organization Through Subject Guide Usability Studies

Many academic librarians spend significant time creating curated lists of databases, library materials, and other resources relevant to a discipline, often called subject guides. This case study examines the experience of a small team of librarians who conducted usability studies on James Madison University Libraries’ subject guides. We identified areas where our guides needed improvement and provided a list of recommendations to our liaison colleagues. While two of our key recommendations were adopted, others languished because we misconstrued our ability to initiate change beyond our small project team. Specifically, we underestimated how the absence of a content strategy for our subject guides and a lack of clear authority for creating or enforcing one would hinder our efforts. Other libraries might be able to learn from our experiences, especially from the mistakes we made.
Statistical learning of sub-words in Vietnamese language

Sub-words have recently attracted much attention and employed to improve many natural language processing applications. In this paper, we suggest a procedure to extract sub-word units from a text collection. The sub- word units are evaluated on two Vietnamese databases to analyze and discuss their statistics and characteristics for Vietnamese language, including sub-word types, sub-word frequency, top sub-word distribution and unknown sub-words in different text types. The experimental results also point out several problems in training and testing data splitting in a current Vietnamese language processing example of Optical Character Recognition (OCR) error correction.
Trajectory sequence generation and static obstacle avoidance for automatic positioning tasks with a tower crane

In this paper, a graph-based planning algorithm is presented to extend the control concept from [1] to enable automatic positioning tasks with industrial tower cranes including prismatic obstacles in the workspace. The newly developed algorithm makes use of efficient calculation of s-curve trajectories. To avoid collisions with static obstacles, a heuristic approach is chosen to generate additional via-points, besides the start and target position. The transition times of the trajectories are used as weightings of the edges in the resulting directed graph. Using the transition times as weightings allows to determine the best trajectory sequence with state of the art graph-search algorithms. The algorithm is explained in detail and simulation results are shown.
Reference-based weak supervision for answer sentence selection using web data

Answer Sentence Selection (AS2) models are core components of efficient retrieval-based Question Answering (QA) systems. We present the Reference-based Weak Supervision (RWS), a fully automatic large-scale data pipeline that harvests high-quality weakly- supervised answer sentences from Web data, only requiring a question-reference pair as input. We evaluated the quality of the RWS-derived data by training TANDA models, which are the state of the art for AS2. Our results show that the data consistently bolsters TANDA on three different datasets. In particular, we set the new state of the art for AS2 to P@1=90.1%, and MAP=92.9%, on WikiQA. We record similar performance gains of RWS on a much larger dataset named Web-based Question Answering (WQA).
Analisis Prosedur Pengelolaan Arsip Dinamis Pada Kantor Sub Bagian Keuangan Dinas Kehutanan

This study aims to oversee the management of dynamic records, human resources who carry out archive management activities to monitor obstacles in managing archives at the Sub-Division of Finance Office of the Forestry Service of West Sumatra Province. This research method is descriptive qualitative, with data sources of several informants who are determined based on criteria in accordance with interviews and direct observations to the object of research. Secondary data that supports this research is obtained from documents available at the place of research object. Based on the information from the information, this research can serve that the management of dynamic archives as a whole is almost done well, but it is still not maximized. This is because: 1) based on incoming and outgoing mails, it has not been implemented optimally; 2) the use of dynamic archives has not been implemented properly and archive recovery still takes a long time; 3) archive maintenance has not been implemented optimally; 4) shrinkage archives that are not in accordance with existing procedures. This happens because of several reasons: 1) there is no archivist or special employee who manages the records; 2) Inadequate quality and quantity of archiving facilities. Based on the research above, archives can be provided to employees to increase awareness of dynamic management. The leadership should place human resources who manage archives who have an archivist background, provide adequate and complete facilities and infrastructure.Keywords : dynamic archive management, archive dynamic.