Reviewerly/exHarmony huggingface dataset:
Current State and Trends of Pedagogical Activity Development

Background:Particularly relevant today are the problems connected with the restoration of the scientific approach to the formation of a dynamic functional structure of professional activity, whose psychological basis in its dialectical unity is the profound knowledge and high level of the general culture of the individual, high moral qualities, high cognitive activity and independence, abilities and professional skills, interest in activities.Human activity is an objective process of interaction between a social environment and a person.Due to conscious activity, a person enters into various interactions with other people, forms their own attitude towards their activities, their own intentions and aspirations.Mental processes and human properties do not arise independently and isolated from each other: they are closely interconnected in a single act of a socially determined conscious activity of the individual, therefore, the effectiveness of the activity depends on the general development of the individual and, above all, on the direction of his mind, feelings and will.The essence of professional activity is the unity of emotional-sensory and intellectual development, the education of the true person.
ORCID and Facilitating Data Culture Change

Acknowledging research contributions like data and software is a responsibility for multiple stakeholders. It is also an opportunity to seed these nascent workflows with positive, FAIR (Findable, Accessible, Interoperable, and Re-usable) practices. One example would be not merely providing a citation for a data contribution, but also connecting the contribution with related contributors, objects, and institutions through persistent identifiers (PIDs). PIDs like DOIs (for things) and ORCID iDs (for people) are crucial research infrastructure that helps to enable each of the FAIR principles and can facilitate acknowledgement of data contributions by providing transparent, authoritative, and provenanced connections between researchers and all of their many contribution types.
Identifying the Strengths and Weaknesses of Over-the-Shoulder Attack Resistant Prototypical Graphical Authentication Schemes

Authentication verifies users’ identities to protect against costly attacks. Graphical authentication schemes utilize pictures as passcodes rather than strings of characters. Pictures have been found to be more memorable than the strings of characters used in alphanumeric passwords. However, graphical passcodes have been criticized for being susceptible to Over-the-Shoulder Attacks (OSA). To overcome this concern, many graphical schemes have been designed to be resistant to OSA. Security to this type of attack is accomplished by grouping targets among distractors, translating the selection of targets elsewhere, disguising targets, and using gaze-based input. Prototypical examples of graphical schemes that use these strategies to bolster security against OSAs were directly compared in within-subjects runoffs in studies 1 and 2. The first aim of this research was to discover the current usability limitations of graphical schemes. The data suggested that error rates are a common issue among graphical passcodes attempting to resist OSAs. Studies 3 and 4 investigated the memorability of graphical passcodes when users need to remember multiple passcodes or longer passcodes. Longer passcodes provide advantages to security by protecting against brute force attacks, and multiple passcodes need to be investigated as users need to authenticate for numerous accounts. It was found that participants have strong item retention for passcodes of up to eight images and for up to eight accounts. Also these studies leveraged context to facilitate memorability. Context slightly improved the memorability of graphical passcodes when participants needed to remember credentials for eight accounts. These studies take steps toward understanding the readiness of graphical schemes as an authentication option.
Toward Robust and Efficient Interpretations of Idiomatic Expressions in Context

Studies show that a large number of idioms can be interpreted figuratively or literally depending on their contexts. This usage ambiguity has negative impacts on many natural language processing (NLP) applications. In this thesis, we investigate methods of building robust and efficient usage recognizers by modeling interactions between contexts and idioms. We aim to address three problems. First, how do differences in idioms’ linguistic properties affect the performances of automatic usage recognizers? We analyze the interactions between context representations and linguistic properties of idioms and develop ensemble models that predict usages adaptively for different idioms. Second, can an automatic usage recognizer be developed without annotated training examples? We develop a method for estimating the semantic distance between context and components of an idiom and then use that as distant supervision to guide further unsupervised clustering of usages. Third, how can we build one generalized model that reliably predicts the correct usage for a wide range of idioms, despite of variations in their linguistic properties? We recast this as a problem of modeling semantic compatibility between the literal interpretation of an arbitrary idiom and its context. We show that a general model of semantic compatibility can be trained from a large unannotated corpus, and that the resulting model can be applied to an arbitrary idiom without specific parameter tuning.To demonstrate that our work can benefit downstream NLP applications, we perform a case study on machine translation. It shows that our model can help to improve the translation quality of sentences containing idioms.
Epidemiology of Malaria in Wukari Local Government Area, Taraba State, Nigeria

The public health significance of malaria disease is one of a lingering global health concern. The disease is a global menace particularly endemic to communities and regions with weak health systems, primarily affecting low- and lower-middle income countries. A retrospective epidemiological survey was conducted to evaluate the prevalence of the malaria disease in Wukari Local Government Area of Taraba State from January to September, 2018. Malaria records from four different primary health centres within Wukari metropolis were approved for collection and analysis. Within the period, a total of 3013 malaria cases were recorded, of which 51% were female and 49% were male. The highest prevalence rate for malaria was recorded for patients in the age groups 20-29 and 30-39 with 21% each while the lowest prevalence rate was recorded for patients in the age group 80-89 with 0%. At a significance level of 0.05, there was no significant difference in the prevalence of malaria between genders (p=0.939263069); although there was significant difference in the prevalence of malaria between age groups (p=0.009). The high prevalence of malaria in Wukari is of great significance and hence public enlightenment efforts should be intensified in the region to help prevent and control the spread of malaria.
Multi-objective Design Optimization of the Robot Grippers with SPEA2

Robot grippers are the tools used for gripping, moving and fixing objects. It is integrated into robotic systems that grippers can grip an object for at least one manoeuvre without any damage. Thus, the design optimization of robot grippers has been a research topic in resent. Robot grippers were optimized by various methods for different aims in previous studies. In this study, it is aimed a balanced gripping by optimizing the fluctuation of the power applied to an object by the grippers and power transfer rate between actuator and ends of a gripper. Strength Pareto evolutionary algorithm II (SPEA-II), a multi-objective optimization method, has been applied to the problem for this aim firstly. The experimental results were compared to the result of the previous studies. SPEA-II is superior to the competitor as the comparison.
Exploring Learners’ Perceptions and Experiences of Native English Speakers’ Roles in Learning Process: A Case Study at Dila Samawa English Club Sumbawa Besar

This current study focused on exploring the learners’ perceptions and experiences of native-English speakers’ roles in the learning process. This exploration was guided by the following questions: (1) What are the learners’ perceptions and experiences of native-English speakers’ roles in the learning process? (2) How do the learners perceive and experience native-English speakers’ roles in the learning process? A case study method was employed. The participants were all of the English learners who continuously joined Dila Samawa English Club in Sumbawa Besar. To collect the data, three techniques were employed: observation, interview, and documentation. The process of the interview was audio-recorded. Meanwhile, field note was used during the observation. Documentations were in the form of the learning activities document. The results of the study showed that the learners’ perceptions of native-English speakers’ roles in the learning process could be categorized into a number of terms, including the natural exposure, the place for practicing English conversation, competence in teaching, and teaching strategy. Meanwhile, the learners’ experiences fell into authentic learning, good creators in the teaching method, and good learning motivators. Essentially, those perceptions and experiences were considered very helpful to stimulate learners’ willingness and efforts to learn English, especially build up the learners’ confidence and enthusiasm in using English in real life situation.
CONTENT-BASED IMAGE RETRIEVAL UNTUK PENCARIAN PRODUK PONSEL

Phone or smartphone and online shop, there is something that cannot be separated with human. There are so many type of smartphones show up in the market that people are confused on which one to get on the online stores. Smartphones recognition is done by using the Histogram of Oriented Gradient to recognize shapes of phones, Color Quantization to recognize the color, and Local Binary Pattern to recognize texture of the phones. The output of the Feature Extractor is a feature vector which is used on the LVQ to process recognize through finding the smallest Euclidean Distance between the trained vectors. The result of this paper is an application that can recognize 16 phone types using the image with the accuracy of 9.6%. Pada saat ini, ponsel dan toko online merupakan sesuatu yang tidak dapat dipisahkan dari manusia. Begitu banyak jenis ponsel bermunculan setiap tahunnya sehingga menyebabkan manusia bingung dalam mengenali ponsel tersebut. Pada program pengenalan ponsel ini digunakan Histogram of Oriented Gradient untuk mengambil fitur berupa bentuk ponsel, Color Quantization untuk mengambil fitur warna, dan Local Binary Pattern untuk mengambil fitur tekstur ponsel. Hasil dari pengambilan fitur berupa fitur vektor yang digunakan pada Learning Vector Quantization untuk proses pengenalan dengan mencari nilai terkecil Euclidean Distance antara vektor fitur dengan vektor bobot terlatih. Hasil dari program pengenalan ini yaitu program dapat melakukan pengenalan terhadap 16 jenis ponsel dengan akurasi sebesar 9.6%.
Pengaruh Pengelolaan Kelas Terhadap Hasil Belajar Matematika Siswa Kelas IV di SDN 42 Kota Bengkulu

The purpose of this study is to determine the effect of classroom management on mathematics learning outcomes at class IV SDN 42 Kota Bengkulu. The type of this study was quantitative. The research method used was Quasi Experimental Design with the Matching Only Pretest-Posttest Control Group Design design, where the test taking was done before and after treatment. Subjects in this study were the fourth grade students of SDN 42 Kota Bengkulu consisting of IVC classes as experimental class and class IVB as the control class. The research instrument used was a multiple choice test given through pretest and posttest. The results showed that the t-test calculataion on pretest was (1.37) lt table (2.00) which means there was no average difference in the experimental class and control class, on the posttest t count (3.38) t table (2.00) which means there is an average difference in experiment and control class. The increase in pretest-posttest in the experimental class 64%, whereas in the control class pretest-posttest rise 59%. Of the increase in pretest-posttest showed that the increases in the experimental class was higher, it indicates that there was a classroom management influence on learning outcomes Mathematics Elementary School fourth grade students 42 Bengkulu City.
IMPLEMENTASI APLIKASI PENGELOLAAN DATA PERALATAN DAN BAHAN LABORATORIUM PADA BALAI HIPERKES DAN KESELAMATAN KERJA PROVINSI KALIMANTAN SELATAN

The Hiperkes Center of South Kalimantan Province is one of the Unit for Occupational Health Centers in the Province of South Kalimantan, one of its services is to conduct environmental testing in companies and the community. Balai Hiperkes Laboratory has a lot of tools and materials. So it is necessary to build an application so that the data management of the Equipment and Materials in the Laboratory becomes more effective and efficient. The Laboratory Equipment and Material Management System at the Hiperkes Center of South Kalimantan Province is still done manually. In conventional data processing with a data collection system that is now felt there are still many deficiencies that occur, because the existing system still uses sheets of paper, archives and uses Microsoft Office applications (MS-Word and MS-Excel) even using the Book archive, so that it can cause data is easily lost or damaged. System development in the form of Implementation of Desktop-Based Tools and Materials Data Management Application in Hiperkes Central Laboratory is a system that provides offline information in the form of reports on desktop and tool-based management data using the Delphi 7 application with MySQL database, thus helping speed and quality in submit information. Besides that, based on the desktop, the data information can be accessed with an unspecified time and place. In this system, it can only be accessed by the user or the lab admin. In this study, aside from describing the theoretical studies used as the basis for the preparation, it will also be discussed about system design and information system development. So that it is expected to be implemented in a product that will correct all the shortcomings that exist in the old system.
Rating Prediction based on Social Sentiment from Textual Reviews using MaxEnt Classifier

Lately, we have seen a twist of survey sites.It introduces an incredible chance to share our perspectives for different items we buy.Be that as it may, we face the data over-burdening issue.The most effective method to mine significant data from surveys to comprehend a client's inclinations and make an exact proposal is vital.Customary recommender systems (RS) think about certain variables, for example, client's buy records, item classification, and geographic area.In this work, we propose an algorithm called MaxEnt classifier to improve prediction precision in recommender systems.Right off the bat, we propose a social client wistful estimation approach and ascertain every client's conclusion on things/items.Furthermore, we consider a client's own wistful qualities as well as mull over relational nostalgic impact.At that point, we think about item notoriety, which can be induced by the wistful disseminations of a client set that mirror clients' exhaustive assessment.Finally, we combine three components client assumption comparability, relational nostalgic impact, and thing's notoriety closeness into our recommender framework to make a precise rating prediction.We direct a presentation assessment of the three nostalgic factors on a genuine data gathered from IMDB.
A novel QoS negotiation model based on intelligent learning technique in clouds

As more and more high-end applications have been deployed on cloud platforms, the quality-of-service (QoS) of cloud platform has become an important issue that need to be addressed. To achieve desirable QoS, an efficient negotiation model plays a critical role because cloud application often requires plenty of resource during their execution. In this paper, we propose a novel QoS negotiation model which applies intelligent learning technique to adjust the negotiation policy, in this way, QoS agreement between application and resource provider can be quickly achieved even when multiple resource requests are involved concurrently. The proposed negotiation model is implemented in an integrated QoS negotiation framework, in which negotiation agents help to make resource reservations while allocations agents are responsible for committing those reservation requests. The proposed framework is tested in a real cloud platform, and the results indicate that it can significantly improve the negotiation efficiency comparing with other negotiation methods. In addition, the experimental results also show that by using the proposed negotiation model, large-scale workflow applications can reduce their makespan by about 7%~11%.
Program Plan: Teen Comic Club

Comicbook Book Club! is a weekly after school book club program for teens ages 14-18. The program will supply participants with recommended weekly comicbook readings that feature characters from a diverse variety of settings, in which they face challenges particular to their situation (sexuality, gender, socioeconomic class, culture, ethnicity, disability, and so on). A meeting facilitator will offer guidance for group discussions on readings and related topics, leaving freedom for conversations to develop organically.
Implementation of the Dalton Plan Ideas into Ukrainian Alternative Schooling

The article deals with the first Ukrainian experience concerning the implementation of the components of the American pedagogical model of the Dalton Plan.The originator of The Dalton Plan and the founder of the prestigious Dalton School in New York was internationally known and honored for the contribution into the education.In Ukraine, the Dalton Plan had not been applied until 2017.It was pioneered by the alternative "DEC life school" in the city of Kiev.The DEC life school is based on the Dalton Plan, the Amonashvili School of Life and the Finnish curriculum.The characteristic feature of the Dalton plan can traced in tutoringaccompaniment in teaching, which is provided by a teacher and addressed to each student individually.The dynamics of the implementation of the ideas of the Dalton Plan in the Ukrainian pedagogical space can be confidently characterized as a positive one.
Hamburg Open Science: DSpace-CRIS @ TU Hamburg

The Hamburg Open Science program aims to develop an open science infrastructure for universities in Hamburg. This includes open access repositories, research data repositories and research information systems. With limited programming capacities available Hamburg University of Technology opted for an integrated approach instead of three different systems. The current open access repository (based on DSpace-CRIS and fully ORCID-enabled) has been extended with a research data repository and is supposed to include all institutional researchers, organization units, projects and publication information building a research information system and a university bibliography. This poster illustrates the components of our extended repository and shows how DSpace-CRIS, an open source software with a vibrant community, helped us cover the two new components of the repository.
Modus Operandi

Evaluation of moded interaction techniques is essential in determining the optimal strategy to switch between the modes of a user interface. Performance can be evaluated when each technique is used to complete a given set of changing mode sequences. However, there have been limited variations in the patterns adopted by past studies, because all of their mode sequences were consistently presented in chunks of only 5 tasks at a time. Our study addresses the identified gap by expanding the chunk size by at least 10 times and diversifying the independent variables (i.e. patterns). Although we found that Persist outperforms User-Maintained Interaction technique overall, patterns with a clear presence of dominating mode are ideal for the latter (and supported locking feature) to thrive. Our findings show how an experimental modification can augment the existing understanding of moded interaction.
3D Laser Scanning을 활용한 화재 손상 부위의 보수·보강 물량 산출 방식 개선에 관한 연구

Recently, there is an increase in fire incidents in building structures. Due to this, the importance of fire-damaged buildings’ safety diagnosis and evaluation after fire is growing. However, the existing fire-damaged safety diagnosis and evaluation methods are personnel-oriented, so the diagnostic results are intervened by investigators’ subjectivity and unquantified. Thus, improper repair and reinforcement can result in secondary damage accidents and economic losses. In order to overcome these limitations, this study proposes using 3D laser scanning technology. The case analysis of fire-damaged building structures was conducted to verify the effectiveness of accuracy and manpowering by comparing the existing method and the proposed method. The proposed method using 3D laser scanning technology to obtain point cloud data of fire-damaged field. The point cloud data and BIM model is combined to inspect the fire-damaged area and depth. From inspection, quantified repair and reinforcement quantity take-off can be acquired. Also, the proposed method saves half of the manpowering within same time period compared to the existing method. Therefore, it seems that using 3D laser scanning technology in fire-damaged safety diagnosis and evaluation will improve in accuracy and saving time and manpowering.
The Rationale behind EFL Students’ Fear to Major English Language at Wolaita Sodo University

It is the fact that most of University Students attend the department of their choice that they think is important for them to achieve their educational goal. However, some of them may be placed in the department that is not their first choice. This implies that the students may attend their field of study either by their own choice or they are placed in a department that is not their first choice. This study was conducted to analyze the rationale behind students’ fear to join English department at Wolaiata Sodo University. To achieve the intended goal, the data were collected through questionnaire and interviewing from purposively selected 143 students who were majoring English language at Wolaiata Sodo University. Results of the study showed that majority of the students’ were placed in English department that was not their first choice. The major grounds for students’ decision to ignore English department as their field of study were the students’ poor reasons such as poor English background, the department is difficult, fear of academic dismissal, the instructors in the department are not cooperative, and the department has less job opportunities. The finding of the study revealed that English department was not the first choice for all students because some of the students were feared to join English department as their field of study for their poor justifications. Despite, they were placed in English department though it was not their preference. In conclusion, English department was not the first choices for all students who are attending their study at Wolaita Sodo University.