Reviewerly/exHarmony huggingface dataset:
A Survey on Face Recognition Techniques in Machine Learning

In the digital world, biometrics is used for authentication or recognition to examine and confirm a person's distinguishing physical or behavioral attributes. There are many authentication systems available today that use iris, fingerprint, and face features for identification and verification. Face recognition-based systems are the most popular since they don't always need the user's assistance, are more automated, and are simple to use. Face recognition paves the way for an innovative way to perceive a human face. Face recognition and identification have been used in access control systems, which have become widely used in security frameworks during the past few years. With the help of biometrics, a facial recognition system can extract facial details from a picture or video. The data is compared to a database of recognized faces to identify a match. Personal identity can be confirmed through facial recognition. This review paper offers a comparison of various facial recognition methods.
Future Contracts: Smart Contracts

Contract management has always been a classic task for companies; the management of vendors to the remittance handling goes in a cycle, requiring constant monitoring and risk assessment. The vendor-related frauds account for a huge amount of money. It is expected that the fraud detection and prevention market is expected to reach 63.5 billion USD worldwide by 2023, with a CAGR of 26.6%. Hence, companies are looking for a unified solution that can track the phases in a traditional contract lifecycle so the escrow charges can be reduced and centralized monitoring is possible. This paper has presented how a traditional contract life cycle happens, a comparison between traditional contract and smart contract, how a smart contract functions, and its underlying technology. High-level documents like architecture diagrams should be designed in this phase. An architecture diagram depicts business logic in a pictorial format; it also helps developers to follow the correct path during the development. We have also presented the current business challenges in implementing smart contracts and the future scope and further applications.
ACTUAL PROBLEMS OF SOCIAL AND HUMANITARIAN EDUCATION AND SCIENCE

The article reveals the general characteristics of the concepts of «humanism», «humanitarian knowledge». Modern educational trends in the processes of humanization and humanitarization of education, which are the basis of sustainable development of society, are determined. The special role of the intelligentsia in solving these problems is shown. The authors also consider the issues of effective formation and competitiveness of modern specialists with higher education as individuals.
USING THE LEGACY OF YA. KORCHAK TO PREPARE A BACHELOR FOR REAL LIFE

The purpose of the research is to substantiate the necessity and possibility of forming a professional orientation for bachelors of economic fields of training using the capabilities of the municipality on the basis of interdepartmental interaction and social partnership with employers. The article presents the experience of forming a professionally directed open and integrated educational environment with integrity and continuity, which ensures efficiency, balance of quality and quantity of training of professional personnel to meet the needs of the municipality. The methodological basis of the research was approaches to the study of psychological and pedagogical processes and phenomena, such as: systemic (V.G. Afanasyev, N.V. Blauberg, A.N. Leontiev); activity (A.G. Asmolov, L.S. Vygotsky, V.V. Davydov, A.V. Petrovsky, D.I. Feldstein); Polysubject (A.V. Brushlinsky, I.V. Vachkov, L.M. Mitina, S.L. Rubinstein); axiological (A.V. Kiryakova, N.A. Astashova, N.D. Nikandrov, I.L. Fedotenko, E.N. Shiyanov) and others. The scientific novelty of the research consists in the development of methodological foundations for the formation of the professional orientation of bachelors, future economists, the creation of a polysubject community of students, university teachers, employers within the framework of a scientific, industrial and educational platform. At the same time, we take into account the peculiarities of modern students, such as «student infantilism», inclusion, multicultural educational space, the theory of generations, the individual characteristics of each of the future economists.
Privacy-Preserving Spam-Protected Gossip-Based Routing

WAKU-RLN-RELAY is an anonymous peer-to-peer gossip-based routing protocol that features a privacy-preserving spam-protection with cryptographically guaranteed economic incentives. While being an anonymous routing protocol where routed messages are not attributable to their origin, it allows global identification and removal of spammers. It addresses the performance and privacy issues of its counterparts including proof-of-work and reputation-based schemes. Its light computational overhead makes it suitable for resource-limited environments. The spam protection works by limiting the messaging rate of each network participant where rate violation results in financial punishment. We deploy the novel construct of rate-limiting nullifier to enforce the message rate limit. We provide a proof-of-concept implementation of WAKU-RLN-RELAY to prove the efficiency and feasibility of our solution.
Digital Flashcards as Media to Engage Students’ Vocabularies: A CAR Conducted to Young Learners at Windeerlust Course

One of the issues in teaching English to young learners is students’ low mastery of vocabulary due to unattractive learning activities. The lack of vocabulary mastery causes students’ low achievement. This case also happens in Windeerlust Course. Therefore, the researcher conducted this study. The purpose of this study was to find out how digital flashcards were integrated into the learning process. The study was carried out in a class that consist of seven students at Windeerlust Course. The methodology implemented in this study was Classroom Action Research (CAR), which entails four steps: planning, data collection, observation, and reflection. The researcher used field notes, questionnaires, an interviewing guide, an observation checklist, documentation, and tests to gather data. Both qualitative and quantitative analyses were used for the research data analysis. Qualitative analysis was implemented to find the student learning behavior that was represented in their learning using flashcards. Quantitative analysis was implemented to measure students' vocabulary scores both before and after the research. The findings of this study demonstrate that utilizing digital flashcards to teach vocabulary increases students' attention and enthusiasm. Additionally, it has been discovered that using digital flash card might help children comprehend language better. After being taught vocabulary utilizing flashcards as a learning tool, students' vocabulary achievement has significantly improved.&#x0D; &#x0D; Keywords: Digital Flashcard; Vocabulary; Classroom Action Research; Young Learner; Language Learning.
DIGITAL TRANSFORMATION OF THE UNIVERSITY. EFFICIENCY CONDITIONS

The work is devoted to the analysis of the conditions for the effectiveness of the process of digital transformation of an educational organization. The authors investigate the tasks of ensuring the quality of digital transformation of universities, taking into account the need for reengineering of the main processes and changes in the competence profile of teachers, support and administrative staff. The research task is decomposed in three directions, each using the author's innovative design technology. The proposed approaches have proven their effectiveness in projects related to the development of digital transformation strategies and their implementation programs.
Haemaphysalis chordeilis

This datasheet on Haemaphysalis chordeilis covers Identity, Distribution.
STEM office of the Ukrainian language of the institution of general secondary education (Ukrainian experience)

The program implementation for the creation of the STEM cabinet of the Ukrainian language allows to achieve the following mandatory learning outcomes for the next educational fields: for the linguistic and literary field of education: the ability to perceive, analyze, interpret, to critically evaluate information in various types of texts, namely informational and artistic texts, media texts, and the use of information to enrich one's own experience and development; to express one's own thoughts, feelings, attitudes and ideas, to interact with others in writing, in particular by interpreting informational and artistic texts; if necessary, interact with other people in the digital space, observing the norms of the literary language. The purpose of the research is to analyze the specific features of the STEM education formation in Ukraine and to find out the ways the STEM office of the Ukrainian language of the institution of general secondary education. The main methods used in the work were: comparativistic method, method of abstraction, deductive method, and concretization. The results state that during the war times in Ukraine it is extremely important to keep the development of the culture from generation to generation and to form the STEM office of the Ukrainian language of the institution of general secondary education. The conclusion is oriented on the improving the importance and the development of the STEM education, based on the increasing interest on the Ukrainian language.
미국 초등교사의 그림책 선정에 대한 연구: 학생 다양성을 중심으로

Korean society has become considerably multicultural where people with various races, ethnicities, religions, languages, and cultural backgrounds compose its population. Picture books have been considered as an effective tool for multicultural education. Therefore, it is crucial to closely examine the factors of student diversity in school teachers’ text selection process. This study analyzed the cases of the United States, in which a multicultural society has been formed over a relatively longer period of time than in Korea in terms of languages, culture, social and economic backgrounds. This study aimed to clarify the factors and values that teachers in the lower grades of elementary school in the U.S. consider important as having priority, thus has more influence in selecting books, and how various backgrounds of students are reflected in teachers’ text selection process. The data was collected by interviewing 13 lower-grade American elementary school teachers and was qualitatively analyzed. The findings the research derive implications for the role and direction of teachers in using picture books for multicultural education in Korea. Based on the implications, this research contributes to the effective selection and use of picture book of multicultural education in Korea and contributes to the establishment of the foundation for the development of teacher education as well.
An Analysis of University Students’ Preference for Career Development Ladder in International Development and Cooperation

This study aims to analyze the relationship in each level of Career Ladder preference based on the results of career preference survey with 100 university students, and intends to bring the implications for creating development cooperation ecosystem. The study helps systematize the constitution of career ladder, ODA human resource development, and support job seekers’ career development paths. This study employs AHP analysis based on the survey results to produce the career ladder preference for each level, and conducts a comparative analysis of preference average and preference regression analysis. As a result of the analysis, it identifies the preference within each level of Career Ladder and finds statistically significant preference depending on individuals’ characteristics. When it comes to the relationship between career levels, university students, who would like to work at KOICA and the International Organizations, have different career preferences in the Level 1 and 2, respectively. As career preferences in Level 1-2 are interconnected with the Level 3 preference, a career development plan is strategically required to raise the awareness of ODA ecosystem and development cooperation.
Recent Developments

Editor-in-Chief Andres Marrugo discusses the latest developments in the journal.
METHOD FOR CLUSTERING FLYING OBJECTS OVER A VIDEO STREAM BASED ON NEURAL NETWORKS

The paper presents a method of using a neural network for clustering objects flying against the sky background. Such a method is proposed to be used for the tasks of the detection or assignment to a certain cluster, as well as for quickly determining the danger of an object flying through monitoring zone. To solve this problem, a neural network is used, consisting of a convolutional network (determining the static features of an object, for example, shape and color) combined with a recurrent network (determining the dynamic features of an object, for example, the movement of propeller blades, flapping wings), the results of which are fed to the Kohonen map, where the clustering of the object occurs. Examples of input and output data of the method are shown, as well as ways to interpret the output data (Kohonen map) to quickly determine the danger of a flying object. Methods for preliminary processing of input data are given. The article also outlines the basics for the architecture of recurrent and convolutional neural networks used in the presented method. A training algorithm and a set of data used in neural network training are described. Studies have been carried out and the results of the method are presented. An estimate of the effectiveness of the method for video analytics of flying objects taken from a video stream is given.
Digital Twin Water Management Platform - Innovative approach for optimal water management

Recently, digitalization has impacted drought and flood forecasting systems, and makes the application of technologies and advanced data processing techniques in the water management field possible. Especially, digital twin in the field of water management aims to effectively diminish unprecedented water-related issues such as floods and droughts using 3D objects and high-resolution spatial data. Climate change effects are expected to increase flood and drought risk through more frequent heavy precipitation and global temperature rise, and the water disaster sector is so complex, dynamic, and unpredictable that requires sophisticated management systems. The digital approaches showed effective prediction and decision-making support. This paper presents the state-of-the-art of digital twin concepts along with different digital technologies and techniques in water management contexts. The digital twin platform developed by K-water is a virtual representation of water management for dam operation and urban flood warning with water-related data. It presents a general framework of the digital twin in risk management, optimal operation, and decision-making in the water management and disaster forecasting field. This review also described the water data management, modeling including artificial intelligence, Radar, CCTV, rainfall-runoff module, analysis, prediction, and communication aspects of a digital twin. Digital twin platforms can support decision-makers as the next generation of digitalization paradigm by continuous and real-time water management of the cyber world and simulating the various events in the cyber world.Keywords: Digital Twin, Dam Operation, River, Spatial Data, AI, Urban Flood
The Role of Theory and Data in Model Building: from Richardson to machine learning

The talk is devoted to a discussion of different&amp;#160; typologies of models:&amp;#160;I-&amp;#160; Oversimplified models;&amp;#160;II- Models by analogy;&amp;#160; III- Large scale models;IV- Models from data.&amp;#160;In the class&amp;#160; I&amp;#160; there is the celebrated &amp;#160; Lorenz model;&amp;#160;the&amp;#160; Lotka-Volterra&amp;#160; system&amp;#160; is in the class&amp;#160; II, and it is at the origin of&amp;#160;biomathematics.Among the&amp;#160; models in the class III&amp;#160; we have the&amp;#160;effective equations used, e.g., in meteorology and engineering,&amp;#160;&amp;#160;where only "relevant variables" are taken into account.In the class&amp;#160; IV we find the most interesting (and difficult) problem:the building&amp;#160; of models just from datawithout a reference theoretical framework.
Overview of the services provided to marine data producers by ODATIS, the French ocean data center

The consequences of global change on the ocean are multiple such as increase in temperature and sea level, stronger storms, deoxygenation, impacts on ecosystems. But the detection of changes and impacts is still difficult because of the diversity and variability of marine environments. While there has been a clear increase in the number of marine and coastal observations, whether by in situ, laboratory or remote sensing measurements, each data is both costly to acquire and unique. The number and variety of data acquisition techniques require efficient methods of improving data availability via interoperable portals, which facilitate data sharing according to FAIR principles for producers and users. ODATIS, the ocean cluster of Data Terra, the French research infrastructure for Earth data, is the entry point to access all the French Ocean observation data (Ocean Data Information and Services&amp;#160;; www.odatis-ocean.fr/en/). The first challenge of ODATIS is to get data producers to share data. To that purpose, ODATIS offers several services to help them define Data Management Plan (DPM), implement the FAIR principles, make data more visible and accessible by being referenced in the ODATIS catalog, and better tracked and cited through a Digital Object Identifier (DOI). ODATIS also offers a service for publishing open scientific data on the sea, through SEANOE (www.seanoe.org) that provides a DOI that can be cited in scientific articles in a reliable and sustainable way. In parallel to the informatic development of the ocean cluster, further communication and training are needed to inform the research community of these new tools. Through technical workshops, Odatis offers data providers practical experience and support in implementing data access, visualization and processing services. Finally, ODATIS relies on scientific consortia in order to promote and develop innovative processing methods and products for remote, airborne, or in situ observations of the ocean and its interfaces (atmosphere, coastline, seafloor) with the other clusters of the RI Data Terra.
Deep learning based identification of carbonate rock components in core images

Identification of constituent grains in carbonate rocks is primarily a qualitative skill requiring specialist experience. A carbonate sedimentologist must be able to distinguish between various grains of different ages, preserved in differing alteration stages, and cut in random orientations across core sections. Recent studies have demonstrated the effectiveness of machine learning in classifying lithofacies from thin section, core and seismic images, with faster analysis times and reduction of natural biases. &amp;#160;In this study, we explore the application and limitations of convolutional neural network (CNN) based object detection frameworks to identify and quantify multiple types of carbonate grains within close-up core images. Nearly 400 images of carbonate cores we compiled of high-resolution core images from three ODP and IODP expeditions. Over 9,000 individual carbonate components of 11 different classes were manually labelled from this dataset. Using transfer learning, we evaluate one-stage (YOLO v3) and two-stage (Faster R-CNN) detectors under different feature extractors (Darknet and Inception-ResNet-v2). Despite the current popularity of one-stage detectors, our results show Faster R-CNN with Inception-ResNet-v2 backbone provides the most robust performance, achieving nearly 0.8 mean average precision (mAP). Furthermore, we extend the approach by deploying the trained model to ODP Leg 194 Sites 1196 and 1190, developing a performance comparison with human interpretation.&amp;#160;
Geostatistical study of the gold mineralization of the Nsour region. Reguibat shield, Northern Mauritania

Archean and Paleoproterozoic rocks of the Reguibat shied contain main potential Mauritania's mineral deposits. The western Archean terrane includes significant iron deposits in the Tiris and Tasiast gold deposits, while the eastern Birimian rocks have proved mining indices of gold and uranium. Located on the northeastern edge of the Reguibat shield, &amp;#160;the study area of NSOUR, and OUED EL MA prospects represent a complex shear zone of favorable gold mineralization. Through our drill cores and soil samples analysis, the gold mineralization is proved to be hosted within a series of nearly parallel, steeply dipping quartz veins. Our chemical and geophysical results demonstrate a set of indicators of important tonnage and grade of gold in the quartz veins. Results of chemical analyses obtained on all the analyzed samples show gold concentration between 0.33 to 2.12 g/m. Importantly, in the southern part of the prospect, 62% of the wells samples recorded an interception of at least one gram per tonne over more than one meter. Statistical evaluation of these data established large first-level zones delineating areas favorable to gold resources and important potential gold accumulation in these areas. Such first-level identifications nonetheless make it possible to roughly define the potential zones for orogenic gold deposits and encourage the continuation and the intensification of the works of exploration that favor discovery in these Precambrian rocks.
Steam Hub Project - Seismo Lab Activity

Out of the desire to integrate information from several fields of science in order to explain various phenomena to students of grades 5-8, we have laid the foundations of the STEAM HUB project, which takes place in the form of a science club with bimonthly activity, with permanent access, during the entire school year. The project directly addresses a number of 10-15 students, selected by applying a questionnaire to identify their interest in the proposal. Students will work individually and in teams in a collaborative manner. Through the proposed activities, indirect beneficiaries will be a number of approximately 100-200 students, as well as parents and the community.One of the club&amp;#8217;s activities is related to seismology (Seismo Lab) and is aimed to increase &amp;#160;risk &amp;#160;awareness in the event of an earthquake, to stimulate interest in studying and understanding of seismology related phenomena, to initiate students to scientific research.In order to achieve the objectives proposed in this activity, we will be presenting scientific content adapted to student&amp;#8217;s level, will consolidate the information acquired by making of a seismograph and a vibrating table, monitoring both, recording and processing their output data.The activities proposed will be presented interdisciplinary, creating connections with other subject areas:Geography - studying tectonic movements and earth layersBiology - studying earthquake precursors related to animals behaviorHistory - studying collections of papers, documents, statistics, journals, interviews with elderly people regarding earthquakesPhysics - studying interface of seismic waves, exemplifying the phenomena with the help of the vibrating table, observing the movement and damage produced with the help of building modelsMath &amp;#8211; reading / understanding of a seismogram, identifying the P and S wave timeComputer Science &amp;#8211; using software programs in order to transform earthquakes into sound &amp;#8220;The sound of the Earth&amp;#8221;Art - drawing posters showing the effects or the energy released when an earthquake occurs.