Reviewerly/exHarmony huggingface dataset:
Justification, development and verification of the effectiveness of the educational and training program for forming the image of officers involved in the training of cadets

The article presents the results of an experimental verification of the effectiveness of the author's educational and training program for the formation of the image of officers involved in the training of cadets. Based on the theoretical analysis of the "image" category and the developed general system of image formation, a detailed study of the individual and psychological characteristics of the target audience (cadets) and image bearers (officers), an educational and training program was developed. It is aimed at forming a positive image of officers involved in training of cadets. The main methodical principle and mechanism of conducting any training is the opportunity to feel a lot of experiences that can be compared with experiences in real life. In particular, during the development of educational and training program, namely, the selection of training methods, following parameters were definitely taken into consideration: program tasks, program duration, group size, and what is extremely important, the level of the participants training, their previous experience, the degree of interpersonal interaction and expected activity of participants. The peculiarity of the educational and training program is not so much the passing of exercises for the development of professionally important and personal qualities of officers for the formation of a positive image, but interaction with cadets in an informal and unusual environment. Taking into consideration the specifics of the main subject of educational and training program, namely the "image" category, the proposed program can be related with both professionally oriented trainings and personal growth trainings. Therefore, the ETP provides an opportunity not only to acquire the necessary knowledge and skills for the formation of a positive image, to develop their professionally important and personal qualities, but also helps officers and cadets to show themselves from those sides that are hardly visible in everyday official activities, to look at the officer- cadet interaction on the other hand and perhaps do some re-evaluation of self and others.
English Song-based Learning Strategies to Improve English Students’ Listening Skills of English Education Department at the University of Mataram

In English, there are four skills which are reading skills, listening skills, writing skills, and speaking skills. English students have to improve their listening skills through the learning process, which has an impact on the development of student’s skills. Learning activities can change and develop students’ English skills to become more proficient and understand what they are learning. And there are several methods used in developing students’ English skills. This study investigated students’ listening skills improvement through English songs, and the purpose of this study was to determine how English songs can be used to improve the listening skills of English students. The participants of this study were seventh-semester students consisting of 21 students from 210 students in seven classes. This research method is a qualitative study, and data collection was done by distributing a questionnaire to 21 students who had taken the listening course. The results show that English songs are moderately effective in improving students’ listening skills.
Hand Gestures in Japanese Communication

In nonverbal communication, gestures are performed to be used in conjunction with verbal communication. Japan is a country that uses more nonverbal communication compared to Indonesia. When communicating, the Japanese often use hand gestures. This hand gesture is very important to know for Japanese language learners because it has many variations of use in body language learning. The same hand gesture sometimes has a difference in the intent to be conveyed between the sender and recipient of the message. Therefore, this study was conducted to describe the form of nonverbal communication, especially the form of hand gestures and the meaning of hand gestures. This study used Japanese drama as a source of data that can be seen and studied by Japanese language learners. This study used a descriptive method to describe the differences in the hand gestures of adult Japanese and children in communicating. The results of this study are expected that Japanese language learners, especially students of the Japanese Language Education Program FKIP Universitas Riau, can understand the culture of the Japanese people and that to suppress verbal communication, they often use hand gestures.
Preliminary Study on the Design of Forest and Land Fire Disaster Learning Media for Elementary Schools

The study discusses teachers’ knowledge and experience using learning media for elementary schools’ forest and land fire disaster mitigation. The results of this study are used as a preliminary investigation to design an Air Pollution Index Simulator (SI-ISPU). The research method used is a survey method. Respondents in this study amounted to 23 teachers in elementary schools. Data collection techniques using closed questionnaire techniques and data analysis techniques using descriptive statistics. The results showed that 39.13% of teachers still did not know the learning media that could be used to teach forest and land fire disaster mitigation. Then, 69.57% there are still many teachers who have not taught using learning media for forest and land fire disaster mitigation. The experience of teachers who have developed learning media for forest and land fire disaster mitigation is only 13.04%. Then 78.26% of teachers experienced problems developing learning media for forest and land fire disaster mitigation. Furthermore, 65.22% of teachers have difficulty teaching forest and land fire disaster mitigation. The research concludes that most teachers still experience difficulties and obstacles in developing learning media and teaching about forest and land fire mitigation in elementary schools.
Models and Mathematical Issues in Color Film Restorations

The state of the art of current methods of film restoration (photographic and cinematographic) suggest the use of digital technologies to retrieve and restore faded and damaged original frames. In this context, the use of suitable mathematical and computational models can support the restorer in reconstructing the original state of the film and provide faster and cheaper restoration techniques. In this work, we discuss some of the main problems and open issues in film restoration, to promote new approaches and research directions that could benefit from mathematical modeling. In this direction, we present a color and contrast restoration approach based on the application of Spatial Color Algorithms (SCAs) to estimate the original color appearance in films, based on the Retinex model of human color visual sensation.
Customer-Centric UI/UX Design for Sustainable Software Systems

In the era of great IT expansion, the designDesign and developmentDevelopment of web pages are constantly evolving over time. DesignDesign can be applied through different processes, methodologies, and techniques. This research redesigns an IT cloud-based recruitment system by applying the principles of Design Thinking (DT), in order to guarantee an improved User Experience/User Interface (UX/UI) DesignDesign. Notably, DT is a cyclical process based on the observations of human behavior to solve problems. Moreover, this study investigates the experiences of potential users. Investigating the users’ opinions, a direct, constant, and iterative designDesign is maintained, and the constant feedback helped to improve the UI/UX designDesign. DT applied to UX/UI DesignDesign allows for understanding and analyzing the needs of users to propose a sustainable human-centric UI/UX designDesign.
Is Green Personalisation Possible? Rematerialising and Deindividualising Consumption

Excessive consumptionConsumption” drives climate change. The humanity has reached the point when current consumer lifestyles are no longer sustainable, and this status quo must be disrupted through innovative interventions. Personalisation is a technique which uses machine learningMachine learning” algorithms and personal data harvesting to prompt people to engage in a range of financial and social activities that often encourage us to consume more. PersonalisationPersonalisation” creates wealth for businessesBusiness” and brings satisfaction to customers. We rely on personalised messaging and allow AI select information for our newsfeeds. Importantly, personalisation is always deliberately designed. Designers, as professionals, therefore, may be able to find a way to repurpose personalisationPersonalisation” processes to promote ‘greener’ consumptionConsumption” choices and lifestyles. This paper coins a new term ‘green personalisationGreen Personalisation”‘ and discusses pathways to inform new designDesign” methodologies to reduce the environmentalEnvironmental” impact of consumptionConsumption”.
Improving energy efficiency of solar panels

This article is about a photovoltaic power plant built at the Korean side's expense, equipped with Korean-made solar panels, and where the author conducted scientific and practical research. The study used a scientific-practical, observational, comparative measuring method. All solar panel trackers were set at 30° degrees and not equipped with a sun tracking system, except for only one solar panel. The tracker of the TOP SUN module has a manual tracking system for the Sun, in which a person has to manually changes position from 15° to 45° degrees depending on the seasons. Thanks to the authors, a solar tracker has been developed to improve the efficiency of solar panels, which has a sun tracking system and low energy consumption, which is a key aspect. During the day, the solar panel parameters with and without a tracking system for the Sun were obtained; also, their power was calculated, and for comparison, a graph of the power difference was plotted. On average, a solar panel with a solar tracking system generates 30 % more energy than a solar panel without a tracking system.
Method of orientation of solar panels of solar power plant

The generation of electricity by solar photovoltaic batteries depends on the angle of incidence of sunlight and is maximum when this angle is 90 degrees, i.e., rays fall strictly perpendicular. The greater the deviation from the 90-degree angle, the more radiant energy is reflected rather than extinguished by the solar modules. Therefore, it is especially important to correctly orient the surface of solar modules and set the desired inclination angle. To place photovoltaic panels on the site of a solar power plant, it is necessary to calculate their mutual shading, considering the design and dimensions of one solar cell panel and the method of its installation on the ground at a certain calculated angle.
The importance of cloud computing trends and the conceptual model in higher education for sustainable development

Computing increases the flexibility and access of educational users to a wide range of educational resources. This includes access to infrastructure, software, hardware, and platform at any time in any place provided there is internet access. Current research trends on cloud computing have sought to study the acceptance or adoption of technology; however, little research has been devoted to the continuance use in an organizational setting. To address this gap, this study aims to investigate the antecedents of cloud computing continuance use in HEIs. The collective nature of all these entities is known as the Cloud. While respondents from all types and sizes of institutions showed some similarities in their perceptions of the cloud and cloud usage, there are some notable differences that are highlighted in the key findings. This paper also aims to identify the benefits and limitations of SaaS in higher educational institutions, closes with a discussion of the research limitations, contribution, and future directions
A Motion Capture-Based Approach to Human Work Analysis for Industrial Assembly Workstations

In industry, manual work is becoming increasingly important despite high labor costs due to the trend towards smaller productionProduction volumes and a higher number of variants. In order to identify optimization potential and increase productivity, there is a strong need to analyze and understand manual processes. Especially in Small and Medium-sized Enterprises (SME), which have limited resources for classic process time analysis, these are rarely available. In this work, a method for automatic generation of process time analyses of manual assemblyManual assembly processes is presented. It employs an industrial human activity recognitionHuman activity recognition system. Human motion data is captured in the industrial environment for manual assemblyManual assembly operation. It is post processed using a spatial partitioning approach. The study shows about 76% of the manual operations in the proposed use case scenario are automatically detected and the remaining are hardly identified. It is shown that process time analysis can be carried out without expert knowledge and without significant manual effort and provides knowledge about the process, which can be used to identify optimization potentials to increase productivity.
Prototipe Mesin Penghitung Potongan Botol Plastik Kemasan 1,5 Liter

Especially ornamental fish farmers. This bottle has a function as a medium for freshwater ornamental fish containers. hardware bottle cutting tool to be controlled using programming software using an arduino microcontroller with the help of an infrared sensor. This Arduino microcontroller will make it easier for users to calculate the bottles that have been cut and the cost of cutting bottles that will be displayed on the 20 x 4 LCD without having to calculate manually which will take more time. In addition to the many features obtained by the owner/user, they can also benefit from the sale of bottles that will be traded to freshwater ornamental fish farmers. With this innovation, besides being able to simplify human tasks, it can also educate the user community so that they can innovate for the development of the ornamental fishery sector.
Study of the Dark Web With Reference to the Indian Banking System and Black Market and Fraud Scenarios

The dark web as a technology has shown great potential and has grown tremendously. We have everything on our tips. This type of environment is also very fruitful and dangerous at the same time. Where everything is available on sale for the highest bidder, dark web plays as a role of intermediary in the sale. This chapter aims to highlights the use of TOR, and other dark webs, and their related activities which leads to the frauds happening in India and to study the connection between dark web, black markets, and banking fraud in India (if any). This chapter attempts to understand the working of the dark web and the illegal transactions.
Establishment and performance evaluation of quantum-safe 5G fronthaul optical architecture

With the continuous development of 5G technology, the security of signal transmission in this digital era has attracted more attention. Quantum Key Distribution (QKD) technology takes quantum mechanics as the theoretical support, which provides a reliable security guarantee for 5G optical network. This paper proposes a 5G fronthaul optical network architecture based on QKD security to ensure the security of 5G fronthaul optical network. The spontaneous Raman scattering noise on the quantum channel caused by the bidirectional classical signal is analyzed. The impact of the bidirectional noise on the performance of the QKD system is studied. Finally, the performance of QKD in the proposed architecture is evaluated by simulation. It is found that the backward Raman noise is greater than the forward Raman noise. The Secure Key Rate (SKR) decreases with the increase of transmission distance. Small QKD detection gate width and high QKD detection efficiency are conducive to SKR.
Drivers of Innovation and Entrepreneurship

This chapter explores the drivers of innovation and entrepreneurship, looking at the various psychological, cultural, economic, and social motivations that drive people to develop new ideas and turn them into successful businesses. It is of research interest to look at how these drivers interact with each other and how they can be used to foster innovation and entrepreneurship in an organization. The role of the public sector and private sector in the promotion of innovation and entrepreneurship and the need for an enabling environment for the development of innovative and entrepreneurial activity is covered in this research. Finally, the importance of education and training in developing the skills necessary for innovation and entrepreneurship will be discussed. The contribution to the area of study is the conceptual model portraying the disruption innovation theory and the multi-level integration processes theory to propose the multi-level innovation theory.
Using Genetic Algorithm for DNA Profile Matching

The DNA is used in forensic investigations to identify suspects and victims at crime scenes. However, manual matching of DNA profiles is difficult and error-prone, especially in large databases. In Iraq, technology for DNA matching is limited, making manual matching the only option. Regenerate. In this work, we propose a Genetic Algorithm (GA) for DNA dataset matching to provide simple and user-friendly software to be used by law enforcement agencies in Iraq. The genetic algorithm is a type of heuristic search method used in computing science and artificial intelligence. It is based on the theory of natural selection and evolutionary biology and is used to find the best solutions to search problems. Genetic algorithm is robust for searching through big, complicated datasets. Thus, in this paper, the GA is the algorithm of choice to achieve the goal of DNA matching search. The used dataset is actual data that have been collected from the Ministry of Interior at the Basra Investigation Center. Finally, the python simulation results show 100% accuracy where the proposed method managed to find the DNAs under consideration precisely.
KnowER: Knowledge enhancement for efficient text-video retrieval

The widespread adoption of mobile Internet and the Internet of things (IoT) has led to a significant increase in the amount of video data. While video data are increasingly important, language and text remain the primary methods of interaction in everyday communication, text-based cross-modal retrieval has become a crucial demand in many applications. Most previous text-video retrieval works utilize implicit knowledge of pre-trained models such as contrastive language-image pre-training (CLIP) to boost retrieval performance. However, implicit knowledge only records the co-occurrence relationship existing in the data, and it cannot assist the model to understand specific words or scenes. Another type of out-of-domain knowledge—explicit knowledge—which is usually in the form of a knowledge graph, can play an auxiliary role in understanding the content of different modalities. Therefore, we study the application of external knowledge base in text-video retrieval model for the first time, and propose KnowER, a model based on knowledge enhancement for efficient text-video retrieval. The knowledge-enhanced model achieves state-of-the-art performance on three widely used text-video retrieval datasets, i.e., MSRVTT, DiDeMo, and MSVD.
Operating system network security enhancement scheme based on trusted storage

Data storage security has become the core of many network security issues. In order to achieve trusted storage and trusted measurement of network community data, this paper proposes a secure storage model based on trust extension for existing trusted storage technologies. In the process of document encryption, the key information is encrypted as well as decentralized stored by optimizing the ciphertext inverted index structure and update policy to ensure the security of index information. In the process of user access control mechanism, SAML and XACML are used in combination with role-based access control in order to achieve flexible and efficient authorization and access control. In the process of result query, ontology technology is introduced to better express the user's query intention and improve the query accuracy. A large number of experiments demonstrate the effectiveness and feasibility of the scheme.
Kernel interpolation generalizes poorly

One of the most interesting problems in the recent renaissance of the studies in kernel regression might be whether the kernel interpolation can generalize well, since it may help us understand the `benign overfitting henomenon' reported in the literature on deep networks. In this paper, under mild conditions, we show that for any $\varepsilon>0$, the generalization error of kernel interpolation is lower bounded by $\Omega(n^{-\varepsilon})$. In other words, the kernel interpolation generalizes poorly for a large class of kernels. As a direct corollary, we can show that overfitted wide neural networks defined on the sphere generalize poorly.
Applications of Deep Learning in Medical Imaging: A Brief Review

This study reviewed the applications of deep learning (DL) in medical imaging, including neuro, retinal, pulmonary, digital pathology, breast, and cardiac systems. Deep Learning solves many of the issues facing today's health care systems. DL has played a defining role in image classification, object detection, and segmentation. From the results, integrating deep learning algorithms into image analysis has enhanced the review of pulmonary medical images, digital pathology, neurologic oncology, chest radiography normalization, cancer detection among other applications. Nonetheless, small-scale medical datasets (which impedes training) emerge as a core issue affecting the generalisation and performance of deep learning.
Navigating the gray areas of content moderation: Professional moderators’ perspectives on uncivil user comments and the role of (AI-based) technological tools

Professional content moderators are responsible for limiting the negative effects of online discussions on news platforms and social media. However, little is known about how they adjust to platform and company moderation strategies while viewing and dealing with uncivil comments. Using qualitative interviews ( N = 18), this study examines which types of comments professional moderators classify as actionable, which (automated) strategies they use to moderate them, and how these perceptions and strategies differ between organizations, platforms, and individuals. Our results show that moderators divide content requiring intervention into clearly problematic and “gray area” comments. They (automatically) delete clear cases but use interactive or motivational moderation techniques for “gray areas.” While moderators crave more advanced technologies, they deem them incapable of addressing context-heavy comments. These findings highlight the need for nuanced regulations, emphasize the crucial role of moderators in shaping public discourse, and offer practical implications for (semi-)automated content moderation strategies.