Reviewerly/exHarmony huggingface dataset:
Lift Charts-Based Binary Classification in Unsupervised Setting for Concept-Based Retrieval of Emotionally Annotated Images from Affective Multimedia Databases

Evaluation of document classification is straightforward if complete information on the documents’ true categories exists. In this case, the rank of each document can be accurately determined and evaluated. However, in an unsupervised setting, where the exact document category is not available, lift charts become an advantageous method for evaluation of the retrieval quality and categorization of ranked documents. We introduce lift charts as binary classifiers of ranked documents and explain how to apply them to the concept-based retrieval of emotionally annotated images as one of the possible retrieval methods for this application. Furthermore, we describe affective multimedia databases on a representative example of the International Affective Picture System (IAPS) dataset, their applications, advantages, and deficiencies, and explain how lift charts may be used as a helpful method for document retrieval in this domain. Optimization of lift charts for recall and precision is also described. A typical scenario of document retrieval is presented on a set of 800 affective pictures labeled with an unsupervised glossary. In the lift charts-based retrieval using the approximate matching method, the highest attained accuracy, precision, and recall were 51.06%, 47.41%, 95.89%, and 81.83%, 99.70%, 33.56%, when optimized for recall and precision, respectively.
The Impact of Artificial Intelligence Techniques on the Entrepreneurship of the Leadership of International Business Organizations – A Suggested Model - An Analytical Study

Entrepreneurial leadership with a pure intellectual starting point has received the attention of high-quality international business organizations because of its need for leadership that possesses strategic thinking which can change with the changing circumstances surrounding it, hence the interest in the topic of entrepreneurial leadership with strategic thinking due to the acceleration of the complex environmental conditions surrounding these organizations, represented by the emergence of the phenomenon of globalization and the cognitive economy and technological progress, which may be represented here as the techniques of artificial intelligence, which prompted these leaders and their organizations to search for mechanisms for their continuity and stability in a competitive world. Therefore, it is expected that entrepreneur leaders possess the qualities of intellectual stimulation, which is an important matter in entrepreneurial leadership, and that they are also ready to change the existing status of their organizations by creating major changes, through taking advanced technological technologies. This is expected to help them achieve the visions of their organizations to reach local and global entrepreneurship. Therefore, the current study worked on knowing the impact of artificial intelligence on the entrepreneurship of the leadership of international business organizations to reach the added value of its strategic operations at the local and global levels.
Straggler handling approaches in mapreduce framework: a comparative study

The proliferation of information technology produces a huge amount of data called big data that cannot be processed by traditional database systems. These Various types of data come from different sources. However, stragglers are a major bottleneck in big data processing, and hence the early detection and accurate identification of stragglers can have important impacts on the performance of big data processing. This work aims to assess five stragglers identification methods: Hadoop native scheduler, LATE Scheduler, Mantri, MonTool, and Dolly. The performance of these techniques was evaluated based on three benchmarked methods: Sort, Grep and WordCount. The results show that the LATE Scheduler performs the best and it would be efficient to obtain better results for stragglers identification.
Comparison of Machine Learning Models: Gesture Recognition Using a Multimodal Wrist Orthosis for Tetraplegics

Many tetraplegics must wear wrist braces to support paralyzed wrists and hands.However, current wrist orthoses have limited functionality to assist a person's ability to perform typical activities of daily living other than a small pocket to hold utensils.To enhance the functionality of wrist orthoses, gesture recognition technology can be applied to control mechatronic tools attached to a novel fabricated wrist brace.Gesture recognition is a growing technology for providing touchless human-computer interaction that can be particularly useful for tetraplegics with limited upper-extremity mobility.In this study, three gesture recognition models were compared-two dynamic time-warping models and a hidden Markov model-in terms of their classifi cation accuracy of gestures from a gesture lexicon known to be accessible to tetraplegics.Gesture data from participants with and without spinal cord injuries was collected using a prototype wrist orthosis.Leave-one-subject-out cross-validation was used to develop a user-independent gesture recognition library.The trained models were then tested using a combination of data from both populations and data separated by population.The classifi cation accuracy and classifi cation time were computed and compared to determine the optimal gesture recognition model.
Combining Usability Testing with In-Depth Interview for Online Credit Hour Website Evaluation

The Online Credits Hour (KRS) application is one of the existing systems at the University of Muhammadiyah Magelang where the academic community, including lecturers, students, and education staff, produces a large amount of student academic data. Evaluation is necessary to find out whether the system runs well. This study is an effort to evaluate the system employing a usability test consisting of five indicators, namely learning ability, memory, efficiency, errors, and satisfaction. The five indicators materialized in the form of questionnaires to online KRS users. The survey involved 118 respondents. The method of study includes validity and reliability tests. The validity test employs a correlation test. The reliability test uses a simple linear regression analysis test and the comparison uses the significance value Alpha equals 0.05. The validity test for all five indicators results in value above 0.05. The reliability test of all the answers in the questionnaire has a Cronbach's Alpha value of 0.93, which suggests that the whole has correspondence. The evaluation results show that the KRS Online application has the highest value in the memorability indicator at 3.97, indicating that the KRS Online application is easily accessible with easy procedures to obtain data. The lowest value is on the error indicator at a level of 3, which means that the KRS Online website shows many errors, such as a broken link or poor navigation.
ON THE DESIGN OF PLAYFUL TRAINING MATERIAL FOR INFORMATION SECURITY AWARENESS

This paper presents the rationale for the design of a card deck game sustaining information security training.The efforts have followed design thinking, been inspired by an approach for problem-based learning, and used gamification.The card deck game primarily aims to support entrepreneurs in small and medium-sized manufacturing companies, heading towards the introduction of digital services, yet is also useful for anyone to practice risk awareness.Information security, here in short representing the efforts to protect information and mitigate risks to uphold confidentiality, integrity and availability, is by SMEs often seen as a technical problem, but is depending on human behaviour.Literature on security training, emphasises the relevance of interpersonal dialogues and reflection, such reflection is not supported by traditional education, as for instance reading theory and answering questions.The application of gamification has shown to increase awareness, where the play becomes an eye-opener to progress focused dialogues and learning.
EFFORT ESTIMATION MODELING OF E-GOVERNMENT APPLICATION DEVELOPMENT USING FUNCTION POINTS BASED ON TOR AND SRS DOCUMENT

Software cost estimation is important for information systems management and is generally taught in software engineering courses especially to terms of the ever-increasing development of E-Government. A significant challenge for Software Sizing (SS) is to determine cost estimates based on TOR documents that do not yet contain complete Software Requirements Specifications (SRS). This study uses Function Points as one of the measurement methods that can make cost estimates and expert needs based on the desired functional system. On the other hand, there are cases where estimation needs after the SRS document have been made. Thus in this study, the authors discuss the implementation of SS based on TOR and SRS documents for E-Government. The results of this study indicate the closeness of the actual and estimated values of 81.9% for TOR and 93.4% for SRS.
A Local Binary Pattern-Based Method for Color and Multicomponent Texture Analysis

Local Binary Patterns (LBPs) have been highly used in texture classification for their robustness, their ease of implementation and their low computational cost.Initially designed to deal with gray level images, several methods based on them in the literature have been proposed for images having more than one spectral band.To achieve it, whether assumption using color information or combining spectral band two by two was done.Those methods use micro structures as texture features.In this paper, our goal was to design texture features which are relevant to color and multicomponent texture analysis without any assumption.Based on methods designed for gray scale images, we find the combination of micro and macro structures efficient for multispectral texture analysis.The experimentations were carried out on color images from Outex databases and multicomponent images from red blood cells captured using a multispectral microscope equipped with 13 LEDs ranging from 375 nm to 940 nm.In all achieved experimentations, our proposal presents the best classification scores compared to common multicomponent LBP methods.99.81%, 100.00%, 99.07% and 97.67% are maximum scores obtained with our strategy respectively applied to images subject to rotation, blur, illumination variation and the multicomponent ones.
Data Deduplication Strategies in Cloud Computing

Cloud computing assumes an essential job in the business stage as figuring assets are conveyed on request to clients over the Internet. Distributed computing gives on-request and pervasive access to a concentrated pool of configurable assets, for example, systems, applications, and administrations This guarantees the vast majority of undertakings and number of clients externalize their information into the cloud worker. As of late, secure deduplication strategies have bid extensive interests in the both scholastic and mechanical associations. The primary preferred position of utilizing distributed storage from the clients' perspective is that they can diminish their consumption in buying and keeping up capacity framework. By the creating data size of appropriated registering, a decline in data volumes could help providers reducing the costs of running gigantic accumulating system and saving power usage. So information deduplication strategies have been proposed to improve capacity effectiveness in cloud stockpiles. Also, thinking about the assurance of delicate documents. Before putting away the records into the cloude stockpile they frequently utilize some encryption calculations to ensure them.In this paper we propose stratagies for secure information deduplication
IMPLEMENTASI MEDIA PERMAINAN CODAKA DALAM MENINGKATKAN HASIL BELAJAR RANAH KETERAMPILAN SISWA DI KELAS IV SDN SAMBUNG

This study aims to describe the improvement of the learning outcomes of the students in the fourth grade of SDN Sambung using Codaka game media. This research is a classroom action research. The research subjects were 23 grade IV students of SDN Sambung. Data collection techniques obtained from observation, documentation, and tests. Data analysis techniques using quantitative and qualitative data analysis. The results of the implementation of Codaka game media in class IV SDN Sambung obtained that the observed student skills included listening, communication, and participation skills. The listening skills of the first cycle students, the percentage of students who completed was 65% and increased in the second cycle to 83%. In the first cycle communication skills, students who completed obtained a percentage of 57% while the second cycle gained 78%. Cycle participation skills, the percentage of students who completed was 65% while in cycle II the percentage was 83%. Based on these data it can be concluded that listening skills, communication, and student participation in cycle I to cycle II have increased so that they can reach the percentage of completeness of more than 75% so that it can be concluded that the media of Codaka games can improve student learning outcomes in the realm of skills.
Professional Development of Novice English Teacher in Junior High School

Professional Development of Novice English Teacher in Junior High School.Objectives: This study aimed at finding out novice English teacher's understanding about professional development in a junior high school in Palembang, novice teacher's professional development, its challenges, how challenges are met, and supports provided by school and government.Methods: In this qualitative case study, the data were collected through questionnaires, interview, and documentation and were analyzed by using Likert Scale, transcription, codification, and thematic analysis.The participants were an English novice teacher, a senior teacher, and vice principle of curriculum affair.Findings: Regardless of her good understanding, the novice teacher lacked of professional development.She encountered instructional, social status and identity, classroom management and workload challenges, which were met by joining subject teachers' forum, while advices and consent to join teachers' forum were given as school support.Conclusion: Novice teacher should understand and apply professional development in her career.
Delimitation Of Computer Information From Other Documents And Material Evidence

The article examines some aspects concerning the essence of computer information as evidence in a criminal case and ways of securing it as such, as well as issues regarding the differentiation of computer information from other documents and material evidence.
Estimasi Jejak Karbon dari Aktivitas Kampus Universitas Batanghari

Every individual or agency activity will generate greenhouse gas emissions which could be countable and expressed as equivalent to carbon dioxide. One of the activities that produce carbon emissions is activities carried out on the campus, one of which is Batanghari University. Batanghari University consists of 5 faculties, namely the Faculty of Teacher Training and Science, Faculty of Law, Faculty of Economics, Faculty of Engineering and Faculty of Agriculture with a total population of Batanghari University of 5,582 people including 5,278 students, 210 lecturers and 94 education staff. This study aims to analyze the amount of carbon emissions generated from activities of the Batanghari University and to compare the percentage of total carbon emissions produced from each scope. Calculation of carbon emissions using the method of The Greenhouse Gas Protocol (GHG Protocol), by dividing it into 3 scopes, including calculating the carbon footprint from transportation activities, emission form the used of gas, and emissions from electricity used and the used of paper. Carbon dioxide (CO2) emissions calculated by using the IPCC (International Panel On Climate Change) method. The results showed that the total carbon footprint produced at the Batanghari University for 6 months was 790.24 ton.CO2-eq. The distribution of emissions based on the scope as follows : scope 1 activity of electricity consumption was 162,705 ton.CO2-eq; scope 2 activities of using LPG was 0.609 ton.CO2-eq; and the scope 3 transportation activities of lecturers, students and education staff was 625.91 ton.CO2 -eq and paper usage activity are 1.0247 ton.CO2-eq. The largest carbon footprint was generated from transportation activities at 79.2% and the smallest was the use of LPG at 0.07%.
Ignorance, Introspection, and Epistemic Modals

Embedded epistemic modals are infelicitous under desire predicates when they are anchored to the belief state of the attitude holder (see, esp., Anand &amp; Hacquard 2013). We present two ways of deriving this observation from an inde- pendently motivated property of desire predicates (Heim 1992; von Fintel 1999).
Teknologi Blended Learning Mahasiswa Di Kota Batam Dengan Metode Unified Theory Of Acceptance And Use Of Technology

In improving the education and teaching process by lecturers in tertiary institutions, learning is carried out using Blended Learning technology. Blended learning is a collaboration and / or a combination of learning that has a traditional nature (learning by doing face-to-face) and learning by utilizing technology or what is referred to as e-learning. The application of Blended Learning technology in universities in Riau Islands province has been carried out in several universities in the city of Batam. Previous research states that there are problems in the application of Blended Learning technology. This study examines how the Acceptance of Blended Learning Technology by Students in the city of Batam with the Unified Theory of Acceptance and use of Technology (UTAUT) method. In carrying out this research activity a quantitative approach is used with a causalistic explanatory research research design. The results of this study reveal that business expectations, performance expectations, social influence, and facility conditions together affect the independent variable Blended Learning Technology Acceptance. This shows that the overall acceptance of Blended Learning Technology among students has been well received
Proving the consistency of Logic in Lean

We implement classical first-order logic with equality in the Lean Interactive Theorem Prover (ITP), and prove its soundness relative to the usual semantics. As a corollary, we prove the consistency of the calculus.
SPEECH ACT ANALYSIS OF TEACHER TALK IN EFL CLASSROOM

The speech act used in EFL classroom may lead to understanding or misunderstanding due to the distinct cultures between the origin of language and the users. The objective of the research were to find out speech act classification mostly used by an EFL teacher while teaching, the reason of why certain classification was preferred and the implication of the selected speech act classification toward the teaching and learning process. This research was a case study research involving an English teacher teaching an EFL class. The study uses Searle’s framework of speech act classification as the instrument. The findings of the research showed the frequency of each classification found as the following: 57% for assertive, 25 for expressive, 40% for directive, and 1% for commissive. Assertive speech acts were used mostly by the teacher because the teacher gived the students test practice and discussed it later on. The study concluded that the choice of speech acts classification determined the teaching approach and vice versa.
Pengaruh Motivasi Belajar Terhadap Prestasi Siswa di Sekolah

This study aims to find out how the influence of learning motivation on student achievement in school. This research is focused on the teacher's role in fostering student learning motivation. This motivation is very important for improving student learning achievement. Because as is well known, student motivation in learning is lacking. This will affect its success in learning. For this reason, there is a need for efforts by teachers to increase interest in learning and motivate students to be more enthusiastic about achieving in school. The approach taken in this journal research is the approach (library research) which uses literature as its object. From the research of several literatures, the results of this study indicate that learning motivation has an influence on student learning activities, especially on student achievement. The higher the student's motivation, the better the learning achievement. Vice versa, the lower the motivation of student learning, it will be difficult for these students to achieve achievement in learning. The teacher also has a very important role and has an influence on student motivation in school.
Communication Competency in Foreign Languages and Digital Competency in Life Sciences Course Book

This study aims to analyze to what extent the competency of ‘Communication in Foreign Languages’ and ‘Digital Competency’ which are addressed in Turkish Qualifications Framework and instruction programs in Turkey are covered by life sciences course books. The research was performed through the case study method which was within the context of qualitative research models. In the study, life sciences course books which were selected through convenience sampling, approved by the Board of Instruction and Education of the Ministry of National Education of Turkey and used in the first, second and third years of primary schools in the school year of 2018-2019 were examined. As per results obtained from research findings, it was found that the competency of ‘Communication in Foreign Languages’ and ‘Digital Competency’ were insufficiently referred to in course books. On the basis of research findings, recommendations intended for designers, teachers and researchers of instruction programs of life sciences course were presented.
Assessment of Some Heavy Metals in Groundwater: Case Study Around an Archaeological Site, Abydos, Sohag, Egypt

Water is extremely essentials for existence of the human life, livestock and plants.With grows of world population rapidly and increasing reclamation extension, their needs for water increased dramatically.However, the increase of water discharge and lack of the sewage treatment and system in the study area and adequate industrial disposal system increase the contamination.In the current study, analysis of heavy metals contamination has been studied around the Osireion Lake.The quality index of the collected groundwater samples indicated that the water is of poor to unsuitable water class for domestic use.Some heavy metals such, B-1, Al+3, Fe+3, Mn+2, Ni+2, Ba+2, Cu+2, Pb+2, and Sr+2 were measured in the in the present study to assess the risk factor.The heavy metals contamination has been reported as a potential risk in the groundwater in the study area.Iron and Manganese show some values higher than the maximum permissible of WHO.Iron might have resulted from the interaction of oxidized Fe minerals and organic matter.Strontium and Barium reveal higher values, therefore the higher concentrations of Sr +2 and Ba +2 indicating that the source could be a result of anthropogenic through fertilizer in agricultural activity causes an input of Sr +2 and Ba +2 .It is believed that the mixing of groundwater with agricultural return flow and sewage waste, increase the concentration levels of pollutants.