Reviewerly/exHarmony huggingface dataset:
Opinion Spam Classification on Steam Review using Support Vector Machine with Lexicon-Based Features

Steam is a video game digital distribution platform developed by Valve Software. Steam provides a user review feature, where users can write about criticism or comments on games that can contain positive or negative sentiments. Based on the questionnaire that the author conducted to Steam users from all over Indonesia, the user review feature provided by Steam was not sufficient. This is because there are fake reviews that allow biased opinions from certain parties so that a phenomenon called review bombing often occurs where users review only to drop or raise the image of a product, not to review it sincerely. From these problems, a solution design is needed that can classify fake reviews on the Steam service. The Support Vector Machine (SVM) classification method was chosen as the model in combination with lexicon-based feature retrieval and Term Frequency – Inverse Document Frequency (TF-IDF) weighting. Of the 236 classification test data conducted by SVM, it produced 105 reviews which were categorized as Valid Reviews. Meanwhile, those categorized as Opinion Spam by SVM are 131 reviews. The accuracy level of the data classification model using Support Vector Machine method is of 81% by dividing training data by 70% and test data by 30% with a random state level of 109. A dashboard in the form of a web application has also been made that contains the classification model to be used for buying reference for Steam user.
Detection pests system for Local Mayas Rice Plant East Kalimantan using Dempster Shafer

Mayas rice is a variety that contributes to staple foods because it has a significant contribution to food consumption and has high genetic diversity. However, the production of Mayas rice plant is lower than other types of rice due to pest attacks and the lack of knowledge of society to identify the types of pests that hit it. Applying the Dempster-Shafer method into an expert system can be a solution for the community to find out the types of the bug found in Mayas rice plants. The data used in this study came from experts with 32 symptoms and 10 types of pests. This study shows the percentage level of possible types of pests found in Mayas rice plant based on the calculation results of the Dempster-Shafer method. The test results on the expert system are 80%, indicating that the expert system is accurate to use in detecting kinds of pests on it.
Utilization of Online Oral Reading Test in Determining the Reading Skills of the Grade 6 Pupils in English

Reading is every child’s foundation where great learning is involved and evidently proved one’s comprehension. Reading teachers play a vital role in assessing their pupils’ reading skills and administering intervention programs for learners’ reading development. This action research employed the Phil-IRI (Philippine Informal Reading Inventory) Oral Reading Test. This is an informal measure that assesses the pupils’ reading skills, both their reading speed and comprehension. It consists of graded reading passages from Grade I to Grade VI. Each graded passage is followed by 7 comprehension questions for Grades I-III and 8 comprehension questions for Grades IV-VI. The questions are categorized into three dimensions, namely literal, interpretive, and applied. Hence, reading speed and comprehension of the pupils will be classified into three levels as frustration, instructional and independent with the applied criteria given by the Phil-IRI. Furthermore, the results of the study exhibited that the ten groups of pupils demonstrated low reading performance in their oral reading test both in speed and comprehension. The struggle of the online oral reading test was evidently shown through the weak internet connection provided by the internet servers in the country. With this, the researcher designed a reading intervention program through reading remedial class during asynchronous class. This will be administered using the online platform and available reading resources for the enhancement of pupils’ reading skills amidst these trying times of global pandemic, where distance learning has been practised first in the public schools’ setting in the Philippines.
Запровадження інтерактивних засобів у викладанні клінічних дисциплін в сучасних умовах пандемії COVID-19

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
On coherence of quantum operations by using Choi–Jamiołkowski isomorphism

Abstract In quantum information, most information processing processes involve quantum channels. One manifestation of a quantum channel is quantum operation acting on quantum states. The coherence of quantum operations can be considered as a quantum resource, which can be exploited to perform certain quantum tasks. From the viewpoint of Choi–Jamiołkowski isomorphism, we study the coherence of quantum operations in the framework of resource theory. We study the phase-out superoperation and give the operation which transforms the Choi–Jamiołkowski state of a quantum operation to the Choi–Jamiołkowski state of the another quantum operation obtained by using the phase-out superoperation to act on the quantum operation. The set of maximally incoherent superoperations, the set of nonactivating coherent superoperations and the set of de-phase incoherent superoperations are investigated and we prove that these sets are closed to compound operation and convex combination of quantum superoperations. Further, we introduce the fidelity coherence measure of quantum operations and obtain the exact form of the fidelity coherence measure of the unitary operations on the single qubit.
Embedded Systems and Application Areas in Engineering

Embedded systems are one of the sub-branches of electrical and electronics engineering, but are also used in many service areas today. Embedded systems, which are almost the common point of Electronics and software fields, are preferred primarily by many people in these fields. For the programming of embedded systems, the support of different electronic cards and computers is needed. With the development of both hardware components and software programming languages, embedded systems have begun to be used in almost all engineering branches. In this research study, a comprehensive examination has been made those deals with the reasons why embedded systems are preferred in many engineering branches such as robotic systems, artificial intelligence and agricultural fields.
Demonstration of chip-to-chip quantum teleportation

We report the first experimental demonstration of chip-to-chip teleportation of quantum states of light. Integrated quantum transceivers in silicon are able to prepare, manipulate, distribute and transceive quantum photonic states with high fidelity.
Diacritical Companions

Coinductive reasoning in terms of bisimulations is in practice routinely supported by carefully crafted up-to techniques that can greatly simplify proofs. However, designing and proving such bisimulation enhancements sound can be challenging, especially when striving for modularity. In this article, we present a theory of up-to techniques that builds on the notion of companion introduced by Pous and that extends our previous work which allows for powerful up-to techniques defined in terms of diacritical progress of relations. The theory of diacritical companion that we put forward works in any complete lattice and makes it possible to modularly prove soundness of up-to techniques which rely on the distinction between passive and active progresses, such as up to context in λ-calculi with control operators and extensionality.
Novel Quality of Experience Experimentation Framework Through Programmable Network Management

The demand for online distribution of high quality and high throughput content has led to non-cooperative competition of network resources between a growing number of media applications. This causes a significant impact on network efficiency, the quality of user experience (QoE), its technical measurements as well as a discrepancy of QoE across user devices. Within a multi-user multi-device environment, automating the measuring and maintenance of perceivable user feedback becomes as critical as achieving the QoE on individual user applications. This paper discusses network- and user-level QoE measurements and prediction over networked multimedia applications and how such techniques can be managed through novel framework designs using programmable networks such as software-defined networks (SDN).
The Perception of Working Professionals on the Role of Organisational Communication in Enhancing Team Effectiveness

This paper tries to explore how communication affects the teamwork of an organisation and gain insight from the studies held in this perspective. In an organisation, it is interaction lays foundation of trust between the employer and the employee. Transparency in communication related to assigned work binds the team members together and allows them to bring out remarkable outcome for the organisation. Also, organisational communication paves way for better understanding of the assigned work, smooth functioning of the organisation and for achieving productivity in work. Commitment towards work from the members of an organisation is achieved through communication. This study reveals that effective communication in an organisation facilitates building up of a strong team apart from free flow of information.
Attention allocation on mobile app interfaces when human interacts with them

With the popularity of smartphones and the pervasion of mobile apps, people spend more and more time to interact with a diversity of apps on their smartphones, especially for young population. This raises a question: how people allocate attention to interfaces of apps during using them. To address this question, we, in this study, designed an experiment with two sessions (i.e., Session1: browsing original interfaces; Session 2: browsing interfaces after removal of colors and background) integrating with an eyetracking system. Attention fixation durations were recorded by an eye-tracker while participants browsed app interfaces. The whole screen of smartphone was divided into four even regions to explore fixation durations. The results revealed that participants gave significantly longer total fixation duration on the bottom left region compared to other regions in the session (1) Longer total fixation duration on the bottom was preserved, but there is no significant difference between left side and right side in the session2. Similar to the finding of total fixation duration, first fixation duration is also predominantly paid on the bottom area of the interface. Moreover, the skill in the use of mobile phone was quantified by assessing familiarity and accuracy of phone operation and was investigated in the association with the fixation durations. We found that first fixation duration of the bottom left region is significantly negatively correlated with the smartphone operation level in the session 1, but there is no significant correlation between them in the session (2) According to the results of ratio exploration, the ratio of the first fixation duration to the total fixation duration is not significantly different between areas of interest for both sessions. The findings of this study provide insights into the attention allocation during browsing app interfaces and are of implications on the design of app interfaces and advertisements as layout can be optimized according to the attention allocation to maximally deliver information.
Quantum information masking in non-Hermitian systems and robustness

Abstract By studying quantum information masking (QIM) in non-Hermitian quantum systems, we show that mutually orthogonal quantum states can be deterministically masked, while an arbitrary set of quantum states cannot be masked in non-Hermitian quantum systems. We further demonstrate that a set of linearly independent states which are mutually η -orthogonal can be deterministically masked by a pseudo-unitary operator. Moreover, we study robustness of QIM against noisy environments. The robustness of deterministic and probabilistic QIM under different quantum noise channels is analyzed in detail. Accordingly, we propose and discuss the r -uniform probabilistic QIM in multipartite systems.
Big Data in the Humanities: New Interdisciplinary Opportunities and New Challenges for Data Management

Recent developments have made technologies such as LiDAR and photogrammetry visualizations more widely accessible to scholars in the humanities. This, in turn, is currently facilitating the production of larger and more complex data sets than those that have heretofore been associated with Digital Humanities. This new turn has stimulated innovative work in a number of fields, but also given rise to new challenges for researchers, IT departments, and university libraries. This paper highlights a number of such issues related to the management of research data with reference to the work the Maritime Asia Heritage Survey (MAHS) based at Kyoto University's Center for Southeast Asian Studies. The MAHS uses traditional archaeological survey techniques while also incorporating data capture through newer technologies of LiDAR scanning, RTK/GIS, digital photography and video, photogrammetry, CAD, and 3D modelling to produce interactive visualizations, IIIF deep-zoom digitized manuscripts, oral history recordings, architectural plans and elevations, and orthophotomaps integrated into robust records in an Arches database. Establishing this project at Kyoto University has highlighted the importance of developing new hardware infrastructure, policy guidelines, and support for the long-term management of the digital knowledge resources as crucial aspects of the institutional infrastructure for research universities in the future.
Estimating Non-Gaussianity of a Quantum State by Measuring Orthogonal Quadratures

We derive the lower bounds for a non-Gaussianity measure based on quantum relative entropy (QRE). Our approach draws on the observation that the QRE-based non-Gaussianity measure of a single-mode quantum state is lower bounded by a function of the negentropies for quadrature distributions with maximum and minimum variances. We demonstrate that the lower bound can outperform the previously proposed bound by the negentropy of a quadrature distribution. Furthermore, we extend our method to establish lower bounds for the QRE-based non-Gaussianity measure of a multimode quantum state that can be measured by homodyne detection, with or without leveraging a Gaussian unitary operation. Finally, we explore how our lower bound finds application in non-Gaussian entanglement detection.
Leveraging Local Domains for Image-to-Image Translation

Image-to-image (i2i) networks struggle to capture local changes because they do not affect the global scene structure. For example, translating from highway scenes to offroad, i2i networks easily focus on global color features but ignore obvious traits for humans like the absence of lane markings. In this paper, we leverage human knowledge about spatial domain characteristics which we refer to as 'local domains' and demonstrate its benefit for image-to-image translation. Relying on a simple geometrical guidance, we train a patch-based GAN on few source data and hallucinate a new unseen domain which subsequently eases transfer learning to target. We experiment on three tasks ranging from unstructured environments to adverse weather. Our comprehensive evaluation setting shows we are able to generate realistic translations, with minimal priors, and training only on a few images. Furthermore, when trained on our translations images we show that all tested proxy tasks are significantly improved, without ever seeing target domain at training.
Use of Powtoon as the Learning Media in Teaching English in Elementary School

The technology-based learning media is one of the essential media in the learning nowadays. Powtoon application is one of them that can apply by the teacher in conveying the material. Powtoon is an application where the creator can make the video look good, fun and attractive. On the other hand, it also more effective to operate. Powtoon can have a tremendous influence on the student's motivation in learning and help teachers in delivering the material in the classroom. Powtoon can be used on all levels of education, especially at the elementary school level, because Powtoon can attract students' attention and motivate them at the same time. This study aims to identify and share theoretical concepts and pedagogical practices of using Powtoon as the media for learning English at the elementary school level. This study used library research methods in obtaining the information which related to the utilization of Powtoon application on students and teacher’s self-development in elementary schools.
Between traditional and mobile language learning

The paper focuses first on the novelties accessible to foreign language learning adults by MALL and mobile language learning, thus drawing a brief overview of the research into novel affordances they offer and implications for a new language learning methodology. Secondly, we explore attitudes of adult learners (tertiary students, academic and administrative staff) to studying or improving language skills in various languages immersed in the ICT, in particular the options proposed by the language learning mobile apps. In order to gather adult learners’ views, a quantitative research, based on an e-questionnaire, was carried out among 1028 participants from 6 EU countries within the international LanGuide project. The results of this research lead to re-evaluation of some teaching approaches and suggest recommendations for teaching practitioners and materials developers.
Meaningful color image encryption algorithm based on compressive sensing and chaotic map

At present, most image encryption algorithms protect the security of the plain images by encrypting them into visually meaningless cipher images similar to noises. However, noise-like images can easily attract the attention of an attacker, thus increasing the risk of being broken. Based on this, a visually meaningful image encryption algorithm based on compressive sensing and chaotic map is proposed in this paper. The proposed image encryption algorithm consists of three steps: compression, encryption and hiding. Here, the compression part uses the compressive sensing technology to compress the plain image. Then, the encryption part transforms the compressed image into a meaningless noise-like image by confusion operation. Finally, the hiding process is to embed the encrypted image into a carrier image to achieve a visual hiding effect and reduce the attention of the attacker to the carrier image. Experimental results and analysis show that the proposed algorithm has satisfactory hiding effect and high-quality information reconstruction and extraction. Especially, the values of PSNR can surpass 30 dB in the tests.
The problem of pedagogical competencies in modern foreign psychology

This article discusses the problematic of pedagogical competencies. The author underlines a current demand for studying the key pedagogical competencies due to the transformation of education system and requirements imposed on the pedagogues. The domestic psychological traditions of studying pedagogical competencies are well-known (B. M. Teplov, F. N. Gonobolin, V. A. Krutetsky, N. V. Kuzmina, A. K. Markova, L. M. Mitina, etc.), but currently the Russian and foreign scientific approaches, as well as educational systems converge and its successful implementation requires universal pedagogical activity, skills, and competencies. The focus of foreign research include consideration of the main requirements to a pedagogue and basic pedagogical competencies, with emphasis on such qualities and competencies that pertain not to implementation of pedagogical activity, but rather maintenance and stimulation of effectiveness of the process and performance. Such competencies include pedagogical creativity, reflection, and metacognitive skills. The author also covers the question of the development of own skills by the pedagogue. The conclusion is made that the modern pedagogical reality not substantive competencies and skills, but rather systemic that would control and manage the pedagogical process itself.
Workload Prediction and VM Clustering Based Server Energy Optimization in Enterprise Cloud Data Center

The abstract should briefly summarize the contents of the Server energy consumption of data center is an important issue of energy management. Energy optimization of server is also necessary to reduce energy consumption of data center cooling and power supply, and reduce the operation cost of whole data center. High server energy consumption is mainly caused by excessive allocation of IT resources according to the highest application workload. This paper studies the optimization algorithm of server energy consumption in enterprise cloud environment. By introducing deep learning model LSTM to predict application workload, the proposed algorithm can dynamically determine the starting up and shutting down time of virtual machines (VMs) and physical machines (PMs) according to the workload to realize the matching of application workload needs between IT resources. K-mean clustering algorithm is used to find VMs with similar starting up and shutting down time and put them on same PM group. By properly extending the running time and increasing number of VMs, the algorithm can compensate the impact of inaccurate prediction and workload fluctuation and guarantee the applications QoS. The simulation results show that the proposed method in this paper can reduce the energy consumption of servers by 45–53% with QoS guarantee when the prediction relative error is 20%, which can provide a good balance between energy saving and application QoS.
Algorithm for Searching Experts in Scientometric Systems

The use of modern methods of thematic analysis for the analytical processing of large amounts of information is currently used in almost all spheres of human activity. Scientometrics is one such area. Research carried out in this area shows that the statistical characteristics of citation rates are highly dependent on the thematic area of papers at hand. In this regard, systems for calculating citation indicators and constructing assessments of the quality of scientific works, ranks of authors or organizations should take into account the thematic area of researchers in order to normalize scientometric indicators. Many scientometric systems and citation systems use subject headings for information retrieval and processing. The world famous citation systems, including WoS, Scopus, Google Shcolar, and others have such headings. Important practical tasks that can be solved using the methods of thematic classification are: assessment of the dynamics of the development of thematic areas in an organization, in a particular country and in world science as a whole; search for articles on a given topic; search and assessment of the authority of experts; search for journals for publication and other urgent tasks. The authors have created software implementations of algorithms for solving some of the listed problems, and research is being conducted to create new effective mathematical models and algorithms in this area.