Reviewerly/exHarmony huggingface dataset:
Formation of soft skills of the subjects of the educational process: the curriculum of the discipline – 011 Educational, pedagogical sciences

The study of the discipline "Formation of soft skills of the subjects of the educational process" is a discipline of the elective component of the curriculum. This discipline provides personal and professional development in higher education, it is aimed at forming an effective, independent and self-confident future researcher and teacher of higher education, capable of lifelong learning. The content of the discipline and methods and forms of its teaching are focused on developing the ability of higher education to self-organization and self-management, his critical and reflective thinking, leadership skills, communication skills and ability to work in a team. Particular attention is paid to the formation of the ability of effective interpersonal interaction, decision-making, goal-setting and achieving complex multi-level goals of personal, professional and career development. As an optional component, the study of the discipline will allow applicants for higher education to form an individual educational trajectory. The purpose of studying the discipline is the formation of future specialists of knowledge and competencies of socio-humanitarian nature, such as: the ability to work in a multidisciplinary team, mastery of effective argumentation techniques and communicative competence in general, understanding of professional and ethical responsibility of management decisions, the ability to analyze and critique decisions, the art of time management and proper goal setting, understanding the need for learning and personal development throughout life.
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning

Comparing probability distributions is at the crux of many machine learning algorithms. Maximum Mean Discrepancies (MMD) and Wasserstein distances are two classes of distances between probability distributions that have attracted abundant attention in past years. This paper establishes some conditions under which the Wasserstein distance can be controlled by MMD norms. Our work is motivated by the compressive statistical learning (CSL) theory, a general framework for resource-efficient large scale learning in which the training data is summarized in a single vector (called sketch) that captures the information relevant to the considered learning task. Inspired by existing results in CSL, we introduce the H\"older Lower Restricted Isometric Property and show that this property comes with interesting guarantees for compressive statistical learning. Based on the relations between the MMD and the Wasserstein distances, we provide guarantees for compressive statistical learning by introducing and studying the concept of Wasserstein regularity of the learning task, that is when some task-specific metric between probability distributions can be bounded by a Wasserstein distance.
Teachers‘ Reflection on Personalized Learning

Personalized learning as a new trend in inclusive education is undoubtedly influenced by teachers‘ reflections before and after its implementation. The carried-out reflection allows each teacher to change previously established positions for the implementation of the educational activity, to reach the ability to change his points of view according to the strengths and potential of the students, and thus achieve greater efficiency in the learning process. Through realized reflection, each teacher creates creative attitudes towards and for the learning process and undoubtedly a more complete unity between consciousness and responsibility for the learning process and behavior. A focused study was conducted with three groups of teacher-respondents. The groups are structured accordingly: the first group of 15 primary teachers, the second group of 15 high school teachers, and the third group of 15 resource teachers. The reflective activity of the three groups of teacher-respondents at different levels of reflection towards personalized learning is investigated: intellectual reflection in learning, personal reflection, reflection as dialogue, reflection in problem situations, and undoubtedly praxeological reflection in the two variants of manifestation: professional and technological reflection. The results demonstrate higher levels of reflection as dialogue and praxeological reflection in primary and resource teachers compared to primary teachers, and higher levels of reflection in problem situations and intellectual reflection in primary teachers compared to primary teachers. It turns out that the reflection of the teacher-respondents on personalized learning is strongly influenced by the cultural and existential reflection in the three groups of respondents. With all the teacher-respondents, the critical reflection towards personalized learning is very vividly demonstrated, which finds expression in the presentation of one‘s own pedagogical experience and one‘s own pedagogical intuition. There is a dynamic from a-reflection to reflection to personalized learning with the A-effectiveness of both respondents and students.
Deep Analysis of Visual Product Reviews

With the recent shift toward the digital world, online customers are increasing rapidly. To fulfill the market demand, competitive market strategies are introduced in the e-commerce industry. Analyzing customer feedback is becoming one of the integral parts of this market strategy, and indispensable to a service provider. In recent days, it can be noticed that customers upload purchased product images with their review scores. In this article, we undertake the task of analyzing such visual reviews, which is very new of its kind. In the past, the researchers worked on analyzing language feedback. However, here, we do not take any assistance from linguistic reviews that may be absent, since a recent trend can be observed where customers prefer to quickly upload visual feedback through a smartphone instead of typing language feedback. We propose a hierarchical architecture, where the higher-level model engages in product categorization, and the lower-level model pays attention to predicting the review score from a customer-provided product image. We generated a database by procuring real visual product reviews, which was quite challenging. Our architecture obtained some promising results by performing extensive experiments on the employed database. The proposed hierarchical architecture attained a 26.26% more accuracy than the single-level best comparable architecture.
Application of Improved Quantum Particle Swarm Optimization Algorithm to Multi-Task Assignment for Heterogeneous UAVs

Cooperative task assignment of unmanned aerial vehicles (UAVs) in complex scenarios is widely studied in recent years. The purpose of this paper is to explore new methods in complex scenarios. Scenarios discussed in this paper consist of the UAVs’ heterogeneity of range, speed and constraints of multi-task, time window in the task assignment process. Based on the objective function of the task completion time, mathematical model is constructed. Subsequently, the improved quantum particle swarm optimization (QPSO) algorithm is applied to solve the problem. Relationship between the particle position in the QPSO algorithm and the task allocation solution is established by the encoding and repair-based method, and feasible task allocation scheme is obtained. Large number of simulations show that the improved QPSO algorithm is effective in the heterogeneous UAVs’ multi-task assignment problem.
Multi-Feature Fusion Machine Translation Quality Evaluation Based on LSTM Neural Network

To solve the problem of low accuracy of traditional machine translation quality evaluation, combined with long short-term memory neural network (LSTM) in deep learning, a translation quality evaluation method based on multi-feature fusion was proposed. Firstly, LSTM network was used to extract the context translation information of the input English sentence. Then, a machine translation quality evaluation model based on multi-feature fusion was constructed, which fused baseline features, contextual word embedding features, syntactic features and word prediction features by BiLSTM. Finally, the quality evaluation was carried out by Sigmoid function. The experimental results showed that in the high-scoring machine translation results, the values of Pearson and Spearman coefficients of the proposed quality evaluation method based on the multi-feature fusion method are 78.85% and 75.61%, respectively, which are significantly higher than those of the traditional perplexity (PPL) evaluation method. The MAE and RMSE values of the proposed method are 0.0235 and 0.0541, respectively, which are lower than those of the PPL evaluation method. Therefore, the quality evaluation results of machine translation by the proposed method are closer to the manual evaluation scores, and the quality evaluation accuracy is higher.
Playing Fight the Landlord with Tree Search and Hidden Information Evaluation

Monte Carlo Tree Search (MCTS) method is used in many games, such as Chess, Go, etc., but MCTS cannot be directly applied to Fight the Landlord games. Accurately evaluate actions in any game state is one of the keys to master Fight the Landlord. In this paper, we investigate a method that combines neural networks and MCTS to make agents play Fight the Landlord smarter. And we used supervised learning, reinforcement learning with self-play methods to train agents. Our experiments show that the method proposed in this paper is effective, and we compared it with some open-source Fight the Landlord AI programs, the method proposed in this paper is still powerful.
Percepție, disonanță cognitivă și descurajare nucleară în era informațională. Posibile implicații pentru arhitectura de securitate euroatlantică în contextul noului concept strategic al NATO

"The February 2022 military aggression on Ukraine has sent shockwaves across European capitals as well as across the Atlantic. This “new normal”, namely a conventional war in twenty-first century Europe, is both hard to process and inherently ominous as to the future of the European security architecture and strategic stability on the continent. The aim of the article is to analyse the combined effects of technological advances in information/computing technologies and human cognition on strategic choices such as nuclear deterrence strategies. The paper is looking to address the proposed research questions through a cognitive psychology lens, with a particular focus on perception and cognitive dissonance. The plasticity of both the geopolitical environment and the information space present the optimal conditions for propagation of cognitive errors in human decision-making. The article is taking a closer look at what said vulnerability means for the Euro-Atlantic security architecture, most specifically for the North Atlantic Treaty Organization."
Pengaruh Model Project Based Learning dan Gaya Belajar terhadap Kemampuan Membuat Alat Permainan Edukatif untuk Anak Usia Dini pada Mahasiswa S-1 PG-PAUD Universitas PGRI Adi Buana Surabaya

Abstract: The Influence of Project Based Learning Models and Learning Styles on the Ability to Make Educational Game Tools for Early Childhood in S-1 PG-PAUD Students of PGRI Adi Buana University Surabaya. The study aims to determine the influence of Project Based Learning Models and Learning Styles on the Ability to make Educational Game Tools for Early Childhood in S1 PG-PAUD Students of PGRI Adi Buana University Surabaya. This research uses a quantitative approach involving S1 PG-PAUD students class of 2015 classes A and B. data collected through learning style questionnaires, project assessment sheets and educational game tool assessment sheets. The respondents were 48 S1 PG-PAUD students class of 2015. There are only 2 free variables, namely project-based learning models and learning styles, while bound variables are the ability to make educational tools. The findings of this study show that the project-based learning model affects the ability to make educational game tools in early childhood while learning styles do not affect the ability to make educational game tools in students.
Pembelajaran Bahasa dan Sastra Indonesia terhadap Pemanfaatan Koleksi Perpustakaan oleh Siswa kelas IX SMP Unismuh Makassar

Abstract: Learning Indonesian Language and Literature towards the Use of Library Collections by Students of Grade IX students of the First Menegah Schoolof Unismuh Makassar. This research aimsto determine the influence of learning Indonesian language and literature on the use of library collections at SMP Unismuh Makassar. This research uses quantitative methods. The data collection techniquein this study uses a questionnaire that is circulated toall class XI students. Population using Simple Random Sampling Technique. Basedon the results of the study, it shows that the learning of indonesian language and literatureis classified as good or high level. The results were obtained from 59.77% of respondents utilizing library collections for Indonesian language and literature subjects twice a week. Meanwhile, the utilization of library by Grade IX students of the First Menegah Schoolof Unismuh Makassar is classified as a good level. Based on the results that the author can conclude 4.27% that respondents use library collections as a source of information to increase knowledge so that students gain insight and obtain materials or materials to add knowledge.
Detecting Arabic Fake Reviews in E-commerce

With the high spread of technology and e-commerce platforms, especially after the pandemic of COVID-19, customers increasingly rely on product reviews to assess their online choices. However, the usefulness of online reviews can be hindered by fake reviews. Therefore, detection of fake reviews is needed. Unfortunately, the number of studies on the automatic detection of fake reviews is limited. This paper is one of the very few works attempting to detect fake reviews written in Arabic and, to the best of our knowledge, the first paper to evaluate the deep learning architecture for this challenging task. Most reported studies focused on English reviews with little attention to other languages. Thus, this research paper aims to experiment with Arabic fake reviews and investigate how they can be automatically detected using machine and deep learning approaches. Due to the unavailability of the Arabic fake reviews dataset, we used the Amazon e-commerce dataset after translating them into Arabic; first, we have evaluated some traditional algorithms, including logistic regression, decision tree, K-nearest neighbors, and support vector machine (SVM), and compared the results with other state-of-the-art approaches such as Gradient boosting classifier, Random Forest classifier and deep learning structures; AraBERT. Among the traditional methods, the results showed that SVM achieved the highest accuracy of 87.61%. However, AraBERT significantly outperformed the SVM and achieved 93.00 % accuracy in detecting Arabic fake reviews.
NOTTINGHAM HISTOLOGICAL GRADING OF CASES OF PRIMARY INVASIVE CARCINOMA OF THE BREAST AT LAUTECH TEACHING HOSPITALS, NIGERIA

Background Breast cancer has since been known to be a global public health problem being the most common malignancy in women worldwide. The incidence in Nigeria is yet to be determined but is said to range from three and a half to thirteen and a half percent in hospital-based reports. Objective Our study aimed at grading the cases of primary invasive carcinoma of the breast using the Nottingham Histological System of grading. Methods The study was a hospital-based retrospective study carried out at LAUTECH Teaching Hospitals in Osogbo and Ogbomoso with ethical approval being obtained from the research and Ethics Committee of LAUTECH Teaching Hospital Ogbomoso. The original request cards were retrieved, studied and essential clinical details which include age, and the side (right or left) of the breast tumor were extracted. Tissue blocks were also retrieved and fresh sections about 3-5µm were cut from formalin-fixed and paraffin-embedded blocks and stained with Hematoxylin and Eosin dyes for histological analyses. Data obtained was analyzed using both Microsoft Excel and EPI Info statistical software and statistical package for social sciences. The information obtained was reported using frequencies and percentages. Quantitative data were presented as mean ± SD [Standard Deviation]. A 95% confidence interval was used in this study and a P-value of ≤ 0.05 was considered statistically significant. Result Our study revealed the commonest histological variant of primary invasive carcinoma of the female breast to be infiltrating ductal carcinoma, not specified type with 305 cases (88.9%).
Peran Media Elektronik Berbasis Video Pembelajaran Melalui Aplikasi Kinemaster. Studi Kasus pada Siswa Kota Makassar

Abstract: The Role of Video-Based Electronic Media Learning Through Kinemaster Applications. Case Study in Makassar City Students. This study aims to describe (1) the role of learning video-based electronic media through the Kinemaster application, (2) inhibiting and supporting factors for learning video-based media through the Kinemaster application in the midst of a pandemic and, (3) the application of learning video-based electronic media through the Kinemaster application in terms of planning, implementation, and evaluation related to the role of video-based electronic media learning through the Kinemaster application of students in the city of Makassar. The results showed that the role of video-based electronic media learning through the Kinemaster application in the midst of a pandemic can be said to play a very important role, because with the existence of electronic media, humans can provide communication between each other both between individuals and individuals with a group of humans. Likewise with learning videos that play an important role in the field of education during the Covid-19 pandemic, because learning videos made by teachers through the Kinemaster application are one of the media that is very suitable for teachers to use as an intermediary for the teaching and learning process delivered to students during the implementation of online learning during the pandemic.
Pengaruh Penggunaan Media Pembelajaran ICT terhadap Hasil Belajar IPA Kelas V di SD Lanraki II Makassar

Abstract: The Effect of Using ICT Learning Media on Class V Science Learning Outcomes at Sd Lanraki I I Makassar. This study aims to determine the influence of the use of ICT learning media on the learning outcomes of science class V at SD Lanraki II Makassar. The approach to this study uses experimentalresearch used to determine the successful use of ICT Learning media. The population of this study was all grade V students of SD Lanraki II, while the study sample was 17 people. Data collection is carried out by observation, learning outcomes tests and documentation. The data collected in the study were analyzed using descriptive and inferential statistical techniques. Based on the results of data analysis, it can be seen that the results of the school environment questionnaire of 2180 and the results of the character building questionnaire of 2227 can be seen that the results of ICT-based learning affect the science learning outcomes of grade IV students of SD Inpres Lanraki 2 Makassar City. Judging from the results of the paired sample t-test, the significance value was obtained by 0.000&lt; 0.05.
Peningkatan Keterampilan Menulis Karangan dengan Menggunakan Media Gambar Seri pada Siswa Kelas IV SD Negeri Perumnas Kota Makassar

Abstract: Improving Writing Skills by Using Image Media Series pthere are Students of Class IV SD Negeri Perumnas Kota Makassar. This study aims to determine the improvement of essay writing skills using series image media in grade IV students of SD Negeri Kota Makassar. The type of researchused is class action research (PTK) according to Arikunto (2008: 16) which consists of four activities, namely including the planning stage, implementation stage, observation, and reflection. Suby ekin this study are class IV teachers and all grade IV students of SD Negeri Perumnas Kota Makassar. Data collection techniques are carried out through observation sheets, namely direct observation of activities carried out by teachers in the learning process and student activities during learning activities, tests to measure student abilities and documentation in this study consisting of syllabus, rpp, daily scores and photos. Based on the results of the final test of the first action cycle, students' classical mastery of the essay writing material is not complete and has not been successful because it is still below the KKM standard score, this is because students have not been able to write essays based on series drawings and only some students determine the theme of the essay that has been made. Phase II cycle II use of series image media can be carried out properly, this can be seen in the final test results of cycle II. Thus, there was an increase in essay writing skills using series image media in grade IV students of SD Negeri Perumnas Kota Makassar to achieve a minima l completion score.
Analisis Kesalahan Berbahasa dalam Pembentukan Kata pada Penulisan Teks Eksposisi Terhadap Siswa Kelas X MIPA 1 SMA Negeri 5 Wajo Kajian Morfologi

Abstract: Analysis of Language Errors in Word Formation in Exposition Text Writing for Class X MIPA 1 Students of SMA Negeri 5 Wajo Morphological Studies. This study aims to describe the form of language errors in writing exposition texts for class X MIPA 1 SMA Negeri 5 Wajo students using morphological studies. This type of research uses qualitative descriptive research methods. This researchwas carried out directly at SMA Negeri 5 Wajo to obtain qualitative description data. The object of this study is a language error in word formation in the writing of exposition texts for students of class X MIPA 1 SMA Negeri 5 Wajo: Morphological Studies. The technique of collecting the results of the analysis and discussion of this research can be found in the form of language errors in the field of morphology, namely errors in the process of forming the basic word into the word affix (duplication). A morphemic process that repeats the basic word form, either in whole, in part, or with changes in sound and (composition). Based on the results of the processed research data, it was found that language errors in affiliations were 26 words, errors were made in duplication, which was 3 words, and there were no language errors in composition. In addition to language errors at the morphological level, students also make language mistakes such as word writing errors and preposition writing errors.&#x0D; Keywords: Language Errors, Word Formation, Exposition Text
Representation of people with special needs in UAE newspapers: gulf news and Khaleej Times as a case study

This study investigates how people with special needs are represented in UAE's national newspapers, Gulf News, and Khaleej Times. 80 randomly selected news reports were analyzed using a qualitative content analysis method. Using the media framing theory, the reports were analyzed according to the following frames: illness, support, burden, empathy, and empowerment. The findings revealed that people with special needs are represented positively in both newspapers since the empathy and empowerment frames were the most present in the news reports examined. The coverage tends to enhance the public awareness of people with special needs, assimilate people with special needs into society, and endorse their social communities' participation.