Reviewerly/exHarmony huggingface dataset:
Dropbox Forensics: Forensic Analysis of a Cloud Storage Service

With the rising popularity of cloud storage and its ever-increasing versatility, many enterprises and individuals have jumped on the cloud bandwagon.This increased adoption of cloud storage had amplified the demand for cloud forensics, the cross-discipline between cloud computing and digital forensics.Cloud storage forensics is deemed the emerging challenge to digital forensic investigator since it allows an application on the local system to connect to the cloud storage and automate synching of files.When misused as a tool of crimes, investigators can expect to find evidence and traces of criminal activity in both local system and cloud providers.Forensic implications of Dropbox, an online cloud storage service with millions of users are the focus of this study.Dropbox client application on Windows 10 platform was examined and relevant valuable artifacts were presented.
Dependency Relations for Sanskrit Parsing and Treebank

Dependency relations are needed for the development of a dependency treebank and a dependency parser.The guidelines 1 for the development of treebank for Sanskrit proposed a set of dependency relations.Use of these relations for the development of a sentence generator and a dependency parser for Sanskrit demanded a need for an enhancement as well as a revision of these relations.In this paper, we discuss the revised version of these relations and discuss the cases where there is a possibility of multiple tagging either due to the ellipsis of certain arguments or due to the possible derivational morphological analysis.This led us to arrive at specific instructions for handling such cases during the tagging.A treebank with around 4000 sentences has been developed following these guidelines.Finally we evaluate a grammar based dependency parser for Sanskrit on this treebank and report its performance.
Promoting Autonomy in Care: Combining Sensor Technology and Social Robotics for Health Monitoring

As the world&rsquo;s population grows significantly older, there are not enough caregivers in many countries for all the elderly people in need of care. To promote their autonomy while also supporting their caregivers, we propose a health monitoring system comprised of a social robot, and various wearable and non-wearable sensors. Through the use of patient-reported outcome measures (PROMs), captured in conversation with the social robot, the subjective health status of the user is determined. This is supplemented by objective information gathered from wearable and non-wearable sensors used to measure numerous biosignals. By combining the subjective data obtained from interaction with the user and the objective data from the sensor network, a health report for both users and caregivers is generated. The data are visualized for the user and caregiver in a customizable and easily accessible health monitoring dashboard, which also warns the user and their caregivers when the data deviate from the expected values or ranges. The goal is to use this information to improve the quality of care, as changes in the user&rsquo;s health status can be determined more quickly by themselves and their caregivers. The proposed system establishes a good base for further testing and optimization together with the user, to ensure a useful and appropriate combination of sensors and technological devices that the user is comfortable with.
Effects of Facilitating Reflection Teaching Integrated Sport Education on Baseball Team Students’ Critical Thinking Disposition and Game Performance

Students need diverse learning processes and different class modes to present diverse development in current teaching environment. In traditional education, physical education teachers mainly stress on students’ skill performance that most of time in the teaching process time sequence is used for skill teaching. Learning group in a team is the heterogeneous combination, with distinct degree of team members. Students therefore have the opportunity to precede different levels of discussion. Such a process allows students helping each other to enhance participants’ motivation through positive peer relationship. Sport education model is operated with teams, in which team members would develop suitable tactics and strategies through continuous discussions. Such discussions could assist in solving problems in real games to further achieve group goals. Such thinking, assisting individuals in achieving the goal, conforms to the point of view proposed in critical thinking. Experimental design model is applied to the quasi-experimental study. 246 students of a university in Fujian Province, as the experimental subjects, are preceded the 16-week (3 hours per week for total 48 hours) experimental teaching research. According to the results, suggestions are proposed, expecting to promote students’ game performance and enhance the critical thinking disposition.
Tools for Creating and Presenting Online Learning Resources for Preschool Kids

This article introduces a module for presenting interactive learning resources for kids in online and mobile environments. Traditional e- Learning systems are not suitable for children in preschool age, as they do not provide specific functionalities to meet the audience's presentation, interaction and focus requirements. To solve this problem, we propose a set of interactive software components for creating and visualizing lessons for kids, which can be integrated in existing and new e- Learning platforms and mobile applications. The article describes the challenges of using learning management systems, points out the needs of the specific audience, and finally reveals the functionalities of a module for realizing learning resources for kids.
Deep Learning-based Side Channel Attack on HMAC SM3

SM3 is a Chinese hash standard.HMAC SM3 uses a secret key to encrypt the input text and gives an output as the HMAC of the input text.If the key is recovered, adversaries can easily forge a valid HMAC.We can choose different methods, such as traditional side channel analysis, template attack-based side channel analysis to recover the secret key.Deep Learning has recently been introduced as a new alternative to perform Side-Channel analysis.In this paper, we try to recover the secret key with deep learning-based side channel analysis.We should train the network recursively for different parameters by using the same dataset and attack the target dataset with the trained network to recover different parameters.The experiment results show that the secret key can be recovered with deep learning-based side channel analysis.This work demonstrates the interests of this new method and show that this attack can be performed in practice.
MODEL TEAMS GAMES TOURNAMENT BERBANTUAN MEDIA PERMAINAN PLETOKAN UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS SISWA SEKOLAH DASAR

This study aims to describe the TGT model assisted by petting games to improve students' critical thinking skills. This class action research will be carried out in class IV SDN Pati Wetan 03 with research subjects 35 students and teachers planned in 2 cycles. Data collection techniques in this study were observation, interview, documentation, and test techniques. Analysis of the data used is quantitative and qualitative analysis. Results Increased student learning activities attitudes in the first cycle of 75.5 and increased in the second cycle to 80.5. Whereas the students' learning activities aspects of skills in the first cycle amounted to 70.5 and increased in the second cycle to 79.7. Increased students' critical thinking skills in the first cycle by 70.2 and increased in the second cycle to 81.6. The results of the study can be concluded that the results of the application of the model assisted by plete playing media can improve students' critical thinking skills.&#x0D; Keywords: Teams Games Tournament, Pletokan Games, Critical Thinking Ability
Context-Aware Multi-layered Ontology for Composite Situation Model in Pervasive Computing

With the rapid advancement of technologies and analysis tools in the smart systems, enabling real-time context monitoring of user's living conditions and quality services delivery is increasing. Current studies in this area are focused on developing mobile applications with specific services, based on toolkit that allow developers to obtain context information from sensors. However, there exists a notable lack of ontology able to represent all the necessary context information starting from distributed users, and constantly changing environment. The modeling of user’s domains to represent diverse mobile and IoT devices, and finalizing with the description of user’s composite situations in smart-*(health, home, cities, car, office, etc.) domains. Considering interoperability, reusability, and flexibility, a new context composite situation ontology for smart systems is proposed with better representation of heterogeneous context. The ontology enables to sense, reason, and infer composite situations in various smart domains, prioritizes critical situations and facilitates the delivery of smart mobile service. Proposed ontology is formalized and validated on different smart environments with different user’s situations. Several experiments were carried out with a real-life motivating scenario. Experimental results showed that the proposed approach has reduced queries times and improved flexibility.
Compliment Responses in English Made by Seventh Grade Students of SMPN 8 Sekayu

This paper showed the compliment responses in English made by 7th grade students at SMP Negeri 8 Sekayu. The sample of this study was five females and five males of the 7th grade students. From the seven categories of compliment responses, there were only six compliment responses in English made by students: acceptance, positive elaboration, neutral elaboration, denial, smiling, and no response. The result of this study showed that: 1) female had highest percentage in positive elaboration and smiling; 2) male had highest percentage in denial and no response; and 3) female and male had same percentage in acceptance and neutral elaboration response. There was no negative elaboration response used by students (female and male). Hence, it can be said that students gender hold important effect in giving compliment responses in English.
Pedagogical Strategies for the Development of Soft Skills of Schoolchildren in After Class Education

The study presents the set of pedagogical strategies for the soft skills development and the results of the model implementation of the profiled pedagogical class within the framework of after class education model as a part of the experiment of professional pedagogical education enhancement within the strategic mission of continuous teacher education in the Kaliningrad region.The curriculum for profiled classes, and the description of the implemented approaches, methods and techniques are proposed.Recommendations on how to integrate soft skills into the curriculum, how to develop them using the appropriate pedagogical strategies of orientation, interaction and support, and finally, how to evaluate them are given.Three main components in the development of soft skills among students of the pedagogical class are distinguished, being the blocks of the development of cognitive abilities, the development of activity abilities, and the development of personal abilities.The assessment of the results of the project is conducted after the implementation of the two-year programme.The results are obtained with a set of the diagnostic tools, being a sociability assessment method, expert assessment of the cohesion of the study group, a technique for diagnosing an interactive personality orientation, a method for diagnosing motivational orientation in interpersonal communications, an adapted questionnaire on the styles of thinking, and a technique for diagnosing personal creativity.The results make it possible to conclude that the proposed model can be successfully replicated and implemented in the context of pedagogically oriented education for schoolchildren.
Exploring Creativity in English Writing by Using Instagram: University Students Perceptions

Instagram is one of the social media platforms that used as a media for educational purposes. This study aimed at investigating university students' perceptions of using Instagram as an online platform to explore their creativity in English writing skill. The study used a quantitative research design. The participants of this study were students of the English Education Department of Universitas Islam Negeri Surabaya, who took a Writing English course and used Instagram in their learning activity. The questionnaire was used to collect data of this present research in the form of five-point Likert scale statements that expressed in strongly agree, agree, neutral, disagree, and strongly disagree. The descriptive quantitative were conducted on the data of analyzing the students' perceptions of using Instagram to know their responses. The findings indicated that the students demonstrated positive perceptions in using Instagram to interact with their lecture and classmates on Instagram to improve their English writing ability. The result of this research can inform that the use of Instagram in teaching writing can also shape them to become more creative and enjoyable in English writing learning.&#x0D;
Infrared Object Location and Video Stabilization Algorithm of Mortars with Correction Fuze

The paper proposed an algorithm combining infrared video stabilization and object location. The parameters and component of the fuze were designed. The transformation relation among projectile, correction fuze and pixel movement was build. Correspondingly, a novel adaptive threshold method was used to preprocessing the image. Then, a gray projection algorithm was proposed to stabilize the video and an equivalent region method was used to locate the object. Results show that the algorithm can effectively improve the image stabilization quality, accurately detect the object azimuth and reduce the computational cost.
Walk-In Users and Their Access to Online Resources in Canadian Academic Libraries

In the past, a member of the public could access an academic library’s collection simply by visiting the library in person and browsing the shelves. However, now that online resources are prevalent and represent the majority of collections budgets and current collections, public access has become more complicated. In Canadian academic libraries, licences negotiated for online resources generally allow on-site access for walk-in users; however access is not granted uniformly across libraries. The goal of this study was to understand whether members of the public are indeed able to access online resources in major Canadian university libraries, whether access to supporting tools was offered, how access is provided, and whether access is monitored or promoted. The study used an online survey that targeted librarians responsible for user services at Canadian Association of Research Libraries (CARL) member libraries. The survey results indicated that some level of free access to digital resources was provided to walk-in users at 90% of libraries for which a survey response was received. However, limitations in methods and modes of access and availability of supporting resources, such as software and printing, varied between the institutions. The study also found that most libraries did not actively promote or monitor non-affiliated user access.
Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention

Currently, in spoken language understanding (SLU) systems, the automatic speech recognition (ASR) module produces multiple interpretations (or hypotheses) for the input audio signal and the natural language understanding (NLU) module takes the one with the highest confidence score for domain or intent classification.However, the interpretations can be noisy, and solely relying on one interpretation can cause information loss.To address the problem, many research works attempt to rerank the interpretations for a better choice while some recent works get better performance by integrating all the hypotheses during prediction.In this paper, we follow the way of integrating hypotheses but strengthen the training mode by involving more tasks, some of which may be not in existing tasks of NLU but relevant, via multi-task learning or transfer learning.Moreover, we propose the Hierarchical Attention Mechanism (HAM) to further improve the performance with the acoustic-model features like confidence scores, which are ignored in the current hypotheses integration models.The experimental results show that compared to the standard estimation with one hypothesis, the multi-task learning with HAM can improve the domain and intent classification by relatively 19% and 37%, which are much higher than improvements with current integration or reranking methods.To illustrate the cause of improvements brought by our model, we decode the hidden representations of some utterance examples and compare the generated texts with hypotheses and transcripts.The comparison shows that our model could recover the transcription by integrating the fragmented information among hypotheses and identifying the frequent error patterns of the ASR module, and even rewrite the query for a better understanding, which reveals the characteristic of multi-task learning of broadcasting knowledge.
PRO ET CONTRA. LECTURERS OF TOMSK AND TYUMEN UNIVERSITIES ON THE ADVANTAGES AND DISADVANTAGES OF THEIR PROFESSION

This article discusses the results of a field study conducted in 2019 at Tomsk State University (TSU) and Tyumen State University (TyumSU). The purpose of the study is to investigate the motivations behind educators’ choice of their profession and the aspects they say as its advantages and disadvantages. Methodologically, the study is based on 43 in-depth interviews with lecturers of TSU and TyumSU. These universities are located in Siberian cities and are among the group of the leading higher education institutions in Russia. The study shows that the lecturers associate the benefits of work at the university with the opportunities provided by the ‘5-100 Project’ to attain the world standards; good working conditions; prestige of work at a reputable university; stability of university employment; feeling of belonging to the academic; and so on. Most educators are dissatisfied with such aspects of university work as bureaucratization; redundancies; short-term contracts; the lack of transparency and inefficiency in funds distribution; and irregular working hours. We found that despite some divergence of views, the faculty of the TSU and TyumSU share a lot of opinions on the advantages and disadvantages of university work. Thus, the cases of the two Siberian universities provide us with the insights into a larger picture of the Russian system of higher education. These findings can be useful for HR services of universities for recruiting and retaining personnel.
REALISASI GERAKAN LITERASI DIGITAL SEBAGAI IMPLEMENTASI GERAKAN LITERASI NASIONAL DI SEKOLAH MUHAMMADIYAH PANGKALAN BUN

The problem of this research is how the realization of the digital literacy movement as a form of implementation of GLN in Muhammadiyah Pangkalan Bun School and what factors influence the implementation of digital literacy at Muhammadiyah Pangkalan Bun School. This research method is descriptive qualitative, which describes factually the factors that influence the implementation of digital literacy at Muhammadiyah Pangkalan Bun School. Data collection was carried out by means of observation, interview and questionnaire distribution. The data analysis of this research was carried out inductively, namely the analysis technique that went from fact to theory. This study uses theoretical triangulation, which is to double-check the validity of the research data with existing related theories. The results of this study indicate that digital literacy at Muhammadiyah Pangkalan Bun School is realized in the form of hardware such as laptops, projectors, speakers, and WiFi. Several factors influence the implementation of digital literacy, namely: (1) The location of the school which is the access in and out of the general public. (2) The location of the school which is one area with a lower level of school (TK ABA, SD Muhammadiyah Pangkalan Bun, SMP Muhammadiyah Pangkalan Bun). (3) Different students' backgrounds.
PENERAPAN LITERASI DIGITAL di SMP NEGERI 20 SURAKARTA

The phenomenon of using social media as online media has increasingly developed in this decade. Young people as a millennial or digital native generation are the biggest users in the use of social media today. In implementing digital literacy schools must monitor students in accessing social media. So the teachers must really be able to supervise and sort out digital literacy that is suitable for their students. In learning activities students prefer digital literacy that is applied compared to normal teaching and learning activities. Because in digital literacy learning students more easily understand every material delivered. This study aims to determine the good and bad effects of the application of digital literacy in schools today. The method used in this research is qualitative. So the teachers can apply it properly and correctly. Teachers must be smarter and more creative in developing digital literacy in the learning taught. So that digital literacy can be used and utilized by teachers in conducting learning.
File Training Generator For Indonesian Language In Named Entity Recognition Using Anago Library

Named Entity Recognition (NER) or Named Entity Recognition and Classification (NERC) is one of the main components of an information extraction task that aims to detect and categorize named entities in a text.NER is generally used to detect people's names, place names, and organization of a document, but can also be extended to identify genes, proteins, and others as needed.NER is useful in many NLP (Natural Language Processing) applications such as question-answering, summaries, and dialog systems because it can reduce ambiguity.NER also deals with other information extraction tasks such as relation detection, event detection, and temporal analysis.To avoid this need to train data source.The data train can be taken from various sources of news/articles crawled on the internet.The news will then be annotated by users with various labels.The news/article sources are in the thousands, while to make this training by using file is manual.And sometimes there is an error because this manual was made when it will form the NER model as needed.This research will be made so that training files can be assisted by using applications so that the error rate can be smaller or there will be no errors.
Quantum Control in the Unitary Sphere: Lambda-S1 and its Categorical Model

In a recent paper, a realizability technique has been used to give a semantics of a quantum lambda calculus. Such a technique gives rise to an infinite number of valid typing rules, without giving preference to any subset of those. In this paper, we introduce a valid subset of typing rules, defining an expressive enough quantum calculus. Then, we propose a categorical semantics for it. Such a semantics consists of an adjunction between the category of distributive-action spaces of value distributions (that is, linear combinations of values in the lambda calculus), and the category of sets of value distributions.