Reviewerly/exHarmony huggingface dataset:
Multi-modal Image Fusion based Improved Face Detection Algorithm in Poor Lighting Conditions

Though significant strides have been made in face detection, detecting human faces based on the visible spectrum under poor illumination conditions is one of the remaining challenges. Face detection in near-infrared images can address the issue due to its invariance to the changes in illumination. However, performance of NIR face detection may decline, since most research is based on color images and there is a large modality gap. Therefore, we propose the illumination-adaptive multi-modal image fusion strategy based on Performance Degradation Difference (PDD) model for reducing the modality gap and achieving illumination invariance. The PDD model, which is obtained by modeling the effect of light intensity on detection performance, is applied in multi-modal image fusion to obtain illumination invariant and colorful images. Besides, the network for facial center point estimation is introduced to further improve the performance under poor lighting conditions. Center point based method can avoid a series of problems caused by anchor box. The experimental results show that the effectiveness of proposed algorithm compared with several face detection methods on public benchmark datasets and our private dataset.
Змішане навчання як інноваційний підхід інтеграції навчального процесу у закладах освіти

Digital technologies increase the impact on society, economy and education every day. Schools graduallypenetrate the technologies of virtuality and complemented reality; teachers must be prepared not only for theirunderstanding, but also for their use. Currently, becomes more popular in institutions,but not all teachers understand the essence of this concept. A generalized analysis of domestic scholars has shownthat the notion of mixed relates to such concepts as learning process, learning system, educationaltechnology, educational methodology, combination of methods, modernization tool, etc. On the basis of theanalysis of literature on the concept of mixed in foreign and domestic researchers, the author presentsher own definition, discloses the main components of and its benefits in organizing educationalactivities in institutions of general secondary education; a scheme of combining traditional and e-learning in amixed one is prepared. Digital technologies have a significant impact on the nature, the form of training, the kindof activity of students, allow the implementation of fundamentally new forms and methods of learning, and, as aconsequence, increase the efficiency of process in a digital society. Before higher education there isthe task of training specialists who can use a computer for the organization of interactive training and testing,video conferencing, participation in telecommunication projects, webinars, forums, etc. It is noted that modernteacher has to develop independently content in text, video, multimedia and hypermedia format, touse digital and resources, to set up content management systems and to organize trainingwith the use of the Internet and its services.
Research on Server Installation Direction Based on Newton's Heat Transfer Law

Nowadays, the storage of Seabed Data Center has become a new data storage technology, which has attracted much attention all over the world. Firstly, through the study of Newton's heat transfer law, it is analyzed that the premise of heat dissipation is the temperature difference inside and outside the solid container. On the basis of meeting this condition, the maximum installable quantity caused by the different arrangement of different servers in the container is calculated. The results show that when the server is placed in a horizontal form inside the container, the maximum number of 330 servers of the same type can be placed at the same time, while when it is placed in a vertical manner, the number of servers is only 269. From the comparison of the above conclusions, it can be seen that the horizontal installation method is more suitable for the internal heat dissipation of the server.
Application of Jaro-Winkler Algorithm for Talent Search Services at Startup Talentku Using Website-Based Crowdsourcing Concepts

Talentku is one of the startups in the field of talent services as a media liaison for students who have talent academic and non-academic talent with seekers. There are currently no application providers of all types of talent services in the education environment, so some talent service seekers have difficulty finding all types of talent. In the talent search process, the data displayed in the system does not match the keywords entered by the user so the user must fill in the talent category and must think of the right keywords so that the data appears according to what is needed. The solution for this problem is the Implementation of Jaro-Winkler's Algorithm Application to Search Talent Services at Startup Talentku Using Website-Based Crowdsourcing Concepts. Jaro-Winkler's algorithm in the search system and the concept of crowdsourcing within the Scrum framework can help talent seekers hire talent services. The results showed that the availability of talent service applications in the educational environment, as a bridge between talent service seekers and talent owners in ordering talent services with the concept of crowdsourcing. Through the application of the Jaro-Winkler Algorithm based on the inputted keywords, can provide information about easily identified talent services. Keywords: Talentku, Talent Service , Talent , Jaro-Winkler Algorithm , Crowdsourcing , Scrum
K-means clustering for classifying the quality management of secondary education in Indonesia

Mapping educational management is critical for improving national education quality. This study aims to classify Indonesian provinces in terms of secondary education management within quality standard parameters. Framed in a quantitative approach with the K-means cluster analysis, this study applied eleven parameters to classify the provinces into three main clusters. These parameters were schools, new entrants, students, repeaters, drop-outs, graduates, teachers, classrooms, laboratories, libraries, and school health services. Secondary data related to secondary education in Indonesia published by the Ministry of Education and Culture were analyzed. With the R software, the clusters were formed based on the shared characteristics of the provinces. This study found that Cluster 1 had twenty-two provinces, Cluster 2 two provinces, and Cluster 3 ten provinces. Cluster 2 was found to be the best cluster, while West Java and East Java shared similar characteristics, hence in the same cluster. Further, 5.88% of the provinces were eligible to be pilot models for the standard quality management of education in Indonesia. There is, therefore, a pressing need for the improvement of education infrastructure to support a better-quality education.
Attribute based Proficient Access Control Mechanism for accessing Cloud Data

Abstract:Cloud computing provides a framework for storing and accessing data from any geographical place over the internet. Data storage on an untrusted cloud causes privacy and access control concerns. Traditional cryptographic approaches such as symmetric, asymmetric encryption and decoding are not suitable for the data privacy and access control in cloud. To address these concerns, the attribute-based encryption approach is appropriate for increased privacy and proficient access control mechanism. We have designed and implemented an attribute-based key generation and encryption mechanism for data stored on the cloud. This paper also provision the cloud user to access only the data that is required. The experimental findings demonstrate that the suggested approach decreases the computing cost of key derivation. The solution may give reassurance for registered cloud users to access their valuable data from the cloud while restricting illegal data access.
Penerapan Metode Role Playing untuk Meningkatkan Hasil Belajar IPS SD Materi Kegiatan Ekonomi Indonesia

The results of social studies learning material on Indonesian economic activities for fifth grade students of SD Negeri 003 Singkep Barat, Lingga Regency, have not reached the minimum completeness criteria. This happened because social studies learning material on Indonesian economic activities at SD Negeri 003 Singkep Barat had only used the lecture method. The role playing method is assumed to be able to improve social studies learning outcomes for fifth graders at SD Negeri 003 Singkep Barat. The purpose of this classroom action research is to describe that the application of the role playing method can improve social studies learning outcomes for Indonesian economic activity materials in fifth grade students at SD Negeri 003 Singkep Barat, Singkep Barat District, for the 2019/2020 school year. This research is classroom action research, which consists of two cycles. Each cycle consists of two meetings. Each meeting was carried out through a number of stages, namely: planning, acting, observing, and reflecting. The results showed that the percentage of student learning completeness from cycle I to cycle II increased. In the first cycle, it reached 77% to 100% at the end of the second cycle. Based on the results of the study, it can be concluded that the application of the role playing method can improve social studies learning outcomes for the fifth grade students of SD Negeri 003 Singkep Barat, Lingga Regency.
SISTEM INFORMASI GEOGRAFIS UNTUK ANALISA SPASIAL PENENTUAN DAERAH RAWAN KECELAKAAN LALU LINTAS (STUDI KASUS : KOTA PEKANBARU)

Quoted from the official Pekanbaru Government portal, Pekanbaru City is one of the Metropolitan Cities in Indonesia, which has a higher accident potential, based on data obtained from the Pekanbaru City Traffic Unit which is summarized from 2016-2019. However, people in Pekanbaru City have not realized it because of the lack of information about the high number of accidents in Pekanbaru City. In addition, the information prepared by the police agency is only in the form of a few warning signs. Geographic Information System is a data management system that has spatial information or the ability to build, store, manage and display geographic references in a database. With the Spatial Analysis of the Location of Accident-Prone Areas Web-Based, it can help the police and the public in finding out information on locations that are prone and not prone to using spatial analysis, so that people can be more careful in driving and know the points of locations that are prone and not prone to accidents in Pekanbaru City. This system uses theframework CodeIgniter, in mapping using leaflet js and using thefeatures Overlay and Buffer. Based on the results oftesting blackbox testing and user acceptance test that the system functions as expected and usability testing with 20 people stating that 93% of the people agree with this system.
Monitoring study of teachers’ needs and demands in developing their leadership skills

The paper presents a monitoring study of schoolteachers’ needs and requests to develop their lead- ership skills and prepare to be leaders. A “teacher-leader” issue is becoming a highly essential social matter due to the growing citizenship involved in local democracy, and the role of schoolteachers in distributing knowledge and influencing the population via urban and rural communities. Teachers are an influential part of society. Currently, it is not enough for a teacher to demonstrate only deep knowledge in a teaching area. The most important for teachers is to educate citizens who are constructively active in transforming their own lives, the lives of other people, their local and state communities. However, teachers’ formal and informal training and professional development do not include acquiring effective leadership competencies for the school/regional/societal levels. The current study identified the needs of Kazakhstani teachers for leadership skills, which are indicated as the necessary ones to attain to transform schools, colleges, and universities into civic, cultural, and social resource centers open for the public in the civil society engagement and to encourage socially significant activities. Also, the study conceptualizes the notions of “Leadership for teachers” and “Teacher-leader”. The research findings are to create informal training programs for teachers’ leadership skills, for building teachers-leaders cohort. The identified and recommended training topics can be used by teach- er training centers. The study results are helpful in leadership consulting of teaching communities, cop- ing with stress, and managing conflicts. Key words: teacher-leader, leadership, leadership skills, high school teachers. &nbsp
Penerapan Algoritma Hybrid Affine Cipher dan RSA Terhadap Sistem Keamanan

The higher the value of a data, the higher the risk of damage or loss of the data. This is understandable, because high-value data is like "life" for humans, so if a data has been damaged or even lost, then the data has no meaning anymore. There are many ways to protect data. Data protection uses a method called encryption process which encodes the code in the original text into arbitrary characters. So that the contents of the encrypted data can be read again, it is necessary to change the contents of the data to its original form, this process is called decryption. In this study, a File Security System Protection Application Design was made using a hybrid affine cipher and the RSA algorithm. This application is made using the Delphi 7.0 Programming Language.
Variations of impolite responses in YouTube podcast videos

This research looks at how speech partners react to language impoliteness in five YouTube podcast videos. The research data in a descriptive qualitative framework are authentic or natural in the form of spoken conversations between presenters and guest stars that include impoliteness responses. The five titles of Deddy Corbuzier's YouTube podcast videos served as the data source. The research method consists of note-taking and orthographic transcription, both of which employ a free-competence technique. The method of data analysis used was pragmatic and contextual matching. The research's findings reveal three types of responses from speech partners when confronted with language impoliteness. There are several representative variations in each of the response categories. The basis of distinguishing elements is primarily concerned with variations. Offensive countering is a response variation in which the speaker responds with curses as an expression of annoyance, ignores, or dismisses the speech partner. Defensive countering defines one's position in interactions by considering innocence, seeing oneself as distinct from others (more important than others), and demonstrating an action that places oneself in a safe situation. Face attack response attempts to accept impolite acts, confirm the speech partner's accusations, and work out solutions with the speech partner.
Pengaruh Perhatian Orang Tua Terhadap Minat Belajar Siswa Kelas V di SD Negeri 023 Kecamatan Siabu Kabupaten Mandailing Natal

The student's interest can indicate the success of a learning activity. Because one of the factors influencing the success of learning activities is interest. External and internal factors, such as parental attention and the school environment, influence students' interest in learning. The researcher demonstrated in the study that the students' interest in learning class V SD Negeri 023 Siabu, Mandailing Natala Regency, was still constrained and had not reached the curriculum's maximum. The purpose of this study is to determine the effect of parental attention on student learning interest in class V SD 023 Siabu, Mandailing Natal Regency. This study employs a quantitative approach. By conducting interviews, distributing questionnaires, and documenting data. This study's sample size was 20 grade V students, and it was a population study because the sample size was less than 100. The research discussion focused on variables such as tutoring, parental advice, parental supervision, motivation, student attention, students' love and interest, and attention. (1) There is an effect of parental attention on student interest in learning, (2) There is no effect of parental attention on student interest in learning. The study's correlation analysis results show that parents promise that if their children are ranked, they will be rewarded, and parents teach about good learning procedures with results. Pearson Correlation.1000 ** and 000 0.05 And it was concluded that parental attention had an effect on and significance for the learning interest of Mandailing Natal Class V Sd 023 Siabu students in 2020-2021.
Approaching Trust: Case Studies for Developing Global Research Infrastructures

Trust is a core component of collaboration. Trust is a local phenomenon, and scientific research is a global collaborative, its impact multiplied through open exchange, communication and mobility of people and information. Given the diversity of participants, local policies and cultures, how can trust be established in and between research communities? You need transparent governance processes, thoughtful engagement of stakeholder groups, and open and durable information sharing to build the "stickiness" needed. In this paper we illustrate these concepts through three trust building use cases: ORCID, Global Alliance for Genomics and Health, and SeamlessAccess, platforms sharing an identity and access technical service core, painstaking community building, and transparent governance frameworks.
FOLLOWING THE APPEARANCE OF JAPANESE CONVERSATION OVER AUDITORY MATERIALS: A PRAGMATIC PROPOSAL

Exchange is an informative classification that is adapted by culture. As effectively portrayed in discussion investigation examines, the standards that underpin it suggest semantic capacities in the unknown dialect, yet additionally an intercultural information that can be aggregately characterized as sociopragmatic skill. These days, a lot of sociopragmatic substance important to unknown dialect students are concluded from the perception of highlight movies and fiction. In this examination, we need to stress the manner in which this perception grows consistently on two equal, however never incoherent, tracks, that is: explicit language perception (linguistic, syntactic and lexical highlights) and the perception of sociocultural shows just as of extra-and paralinguistic ones. The general investigation of such sociopragmatic perspectives ends up being of principal significance for Italian students, as it plainly uncovers how the Japanese discourse frequently secures qualities of complementarity, an expressed word that is regularly reminiscent and not generally complete from the linguistic/syntactic perspective.
First Workshop on Knowledge Injection in Neural Networks (KINN)

Deep learning (DL) has made rapid progress in the last decade, with neural network-based language and vision models achieving state-of-the-art performance in various tasks. Yet purely data-driven neural network models exhibit several issues impacting real-world deployment of such models adversely. These include reliance on large quantities of training data, poor robustness, lack of generalization, poor explainability, and glaring gaps in implicit and commonsense knowledge. The availability of rich structured (or semi-structured) knowledge sources has spurred the research community into exploring Knowledge Injection in Neural Networks (KINN) as a means of mitigating the above-mentioned challenges. This has led to the development of hybrid AI systems that combine the purely data-driven learning of the neural network models with an infusion of knowledge from external sources. Such KINN systems include the development of retrieval augmented neural models, neuro symbolic systems and a plethora of combinations of NNs and knowledge graphs and structured knowledge bases.
Sociálne aspekty čitateľskej gramotnosti s akcentom na dieťa zo sociálne znevýhodňujúceho prostredia na Slovensku

Reading literacy as functional literacy, i.e. the ability to understand and use written text, is alarming for students from disadvantaged backgrounds in Slovakia. In relation to children from less favourable backgrounds, the Slovak education system has long been unable to adequately compensate for educational inequalities determined by social origin. The most important stimuli affect children before they enter primary school. The study presents selected research on supporting child readers within the context of the family, based mainly on foreign sources, where this research has a rich tradition. Factors in the so-called home literacy environment, especially reading together or so-called dialogic reading of a parent with a child, as well as the size of the family library, were identified as particularly important. At the end of the paper, the possibilities of socio-pedagogical intervention are outlined.
LA VISUALIZACIÓN EN LA ENSEÑANZA DE LA MATEMÁTICA. SU EMPLEO MEDIANTE EL USO DEL GEOGEBRA: EMPLEO DE LA VISUALIZACIÓN EN LA ENSEÑANZA DE LA MATEMÁTICA

The objective of the research is to evaluate the impact of a classroom intervention applied in the teaching-learning process of second grade curves developed in the course of Bachelor in Mathematics Education at the University of Holguin. In the intervention, visualization assumes the role of heuristic principle and the teaching-learning process of Mathematics is dynamized through the use of resources created with GeoGebra software. The intervention was carried out in five work sessions and a pre-test and a post-test were applied in order to verify the results of the intervention, both of which were validated by a Committee of Experts. As a result, a development of the necessary skills for the understanding of the concepts related to the curves of second degree by the students is observed. In addition, problems related to this content are solved by means of a dynamic approach supported by the use of Geogebra software.
A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification

Deep convolutional neural networks (DCNNs) have achieved promising performance in different computer vision tasks in recent years. Conventionally, deep learning experts are needed to design convolutional neural network’s (CNN’s) architectures when facing new tasks. Neural architecture search (NAS) is to automatically find suitable architectures; however, NAS suffers from the tremendous computational cost. This paper employs a genetic algorithm (GA) and a grid search (GS) strategy to search for the micro-architecture and adjust the macro-architecture efficiently and effectively, named TSCNN. We propose two mutation operations to explore the search space comprehensively. Furthermore, the micro-architecture searched on one dataset is transferred to another dataset to verify its transferability. The proposed algorithm is evaluated on two widely used datasets. The experimental results show that TSCNN achieves very competitive accuracy. On the CIFAR10 dataset, the computational cost is reduced from hundreds or even thousands to only 2.5 GPU-days, and the number of parameters is reduced from thirty more million to only 1.25 M.