Reviewerly/exHarmony huggingface dataset:
FEATURES OF THE FORMATION OF RESEARCH AND EXPERIMENTAL COMPETENCE OF STUDENTS IN A BILINGUAL EDUCATIONAL ENVIRONMENT

The article considers the problem of formation of research and experimental competence of students in teaching physics in the context of European integration processes in Ukraine and the functioning of the bilingual educational environment. The relevance of the study is due to the fact that in modern conditions of Ukrainian society there is an accelerated introduction into all spheres of human life achievements of scientific and technological progress, implementation of sustainable development, intensive development of information and communication, digital, cloud technologies, expansion of digitalization. research, production, services. In the XXI century in Ukraine the need for integration of domestic society into the European educational and scientific environment is becoming more acute. Based on the outlined integration trends, the presence of students' competence in communicating in foreign languages, which is one of the key competencies, acquires special relevance for quality education. We see the solution of the tasks in the formation of a bilingual educational environment, which in the teaching of physics has a number of features: definition of the list of key words submitted both in the state and foreign language; submission to each laboratory work of brief theoretical information, in the text of which the relevant keywords are highlighted; similarly to the theoretical information the course of work is given; selection of a list of information and digital resources that will promote better understanding by students of the physical phenomenon or process, the study of which is provided for the purpose of laboratory work; formation of a list of control questions (with highlighted keywords), which will monitor students' knowledge of physics. The article gives an example of laboratory work, the implementation of which is provided in a bilingual educational environment. Our research on the implementation of the proposed elements of the methodology of formation of research and experimental competence of students in teaching physics in a functioning bilingual educational environment showed an increase in students' interest in acquiring knowledge and as a consequence of improving learning outcomes in general. Key words: bilingual educational environment, integrativity, teaching physics, laboratory work, research and experimental competence.
Investigating the Relationship between Banking Technology Capacity Utilization and Financial Performance (Case Study of Qom Branches National Bank)

The main purpose of this study is to investigate the relationship between modern banking technology capabilities and financial performance of National Bank in Qom province branches. The results obtained from the analysis of field data obtained from the study of the relationship between modern banking capacities on financial performance in the National Bank of Qom Branches are discussed. The results of the analysis of components related to modern banking capacities showed that ATM quality, bank telephone quality and internet bank quality were significantly correlated with the financial performance of the National Bank of Qom Branches. Therefore, all three research hypotheses as well as the main research hypothesis that there is a relationship between modern banking technology capabilities and financial performance of National Bank in Qom province branches were confirmed
Investigating the Implications of the Internet of Things on Business Performance

The primary purpose of the research was to learn what industrial employees and employers felt about the Internet of Things (IoT) and how it was being utilised to operate their companies. It's also important to figure out how the Internet of Things affects company performance. The study was conducted using a descriptive research approach. The data was acquired from 67 respondents who worked in 38 different business divisions and used the Internet of Things. A standardised questionnaire was used to collect the information. According to the survey's findings, the majority of respondents felt that the Internet of Things (IoT) is critical in today's business environment. It was also revealed that the Internet of Things (IoT) considerably supports decision making, enables data storage and retrieval, aids in the speedy discovery and rectification of errors, enhances operational efficiency, and promotes increased system monitoring. It may also be inferred that the Internet of Things has a significant impact on decision-making, system monitoring, business unit competitiveness, and operational efficiency. As a consequence, it may be stated that the Internet of Things (IoT) is crucial for increased business performance in the present age.
APPLICATION ANALYSIS OF OPERATING SYSTEM TEACHING BASED ON CASE TEACHING METHODEXAMPLE, OPERATING SYSTEM, TEACHING

It is of great significance to improve the quality of computer teaching and the quality of students to instantiate every definition and algorithm that is difficult to understand in the operating system. This kind of instantiation teaching will make students realize the sense of achievement of operating system learning, and help to cultivate students' innovation ability and practical application ability.
Once again about experts, independent expertise, and expert councils

The article examines the recent active public debate concerning the organization of expert activity in Russia. Along with terminological ambiguity in this area, there are significant issues related to the status of the expert, expert’s independence, and the general devaluation of expert opinion. The activity of expert councils formed under the executive authorities is subject to particular criticism both from the citizens and the state. At the same time, special attention is paid to the participation of the scientific community in the independent expertise of programs, projects, and decisions. In this connection, according to the results of the meeting of the Council on education and science, the list of instructions of the President of the Russian Federation provides for the introduction of amendments into the legislation concerning the concept “scientific (scientific-technical) expertise”. It is necessary to establish the criteria and mechanisms for this expertise, as well as the rules for monitoring and evaluating the effectiveness of budgetary allocations for state support of scientific research and development.
Enhancing the Security of Fiber Optical Network using Cryptography

An optical fiber is an important communication channel as it proposes a high bandwidth and less attenuation, and can be easy challenging assistances such as huge-quality data transmission and others in computer networks. The basic optical transmission system consists of three basic elements which are fiber media (transmission channel), light sources as the input (covert electric signal into optic signal) and light detector as the output (convert optic signal into electric signal). FBG is the key component in optical communication system as, dispersion compensators, filters and flatteners gain. There is need to introduce mechanism that should be capable to provide data security in less time. More over there is need to introduce energy efficient mechanism that should be capable to reduce the size of packet during data transmission. There are several problems that are faced due to attenuation in fiber optics. There is need of repeater in order to regenerate the signals. Process working principle of proposed technique that is being used enhancement of security in steganography has been discussed with process flow and result. It states how brute force and timing attack are not applicable on proposed technique.
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation.

Robust semantic scene segmentation for automotive applications is a challenging problem in two key aspects: (1) labelling every individual scene pixel and (2) performing this task under unstable weather and illumination changes (e.g., foggy weather), which results in poor outdoor scene visibility. Such visibility limitations lead to non-optimal performance of generalised deep convolutional neural network-based semantic scene segmentation. In this paper, we propose an efficient end-to-end automotive semantic scene understanding approach that is robust to foggy weather conditions. As an end-to-end pipeline, our proposed approach provides: (1) the transformation of imagery from foggy to clear weather conditions using a domain transfer approach (correcting for poor visibility) and (2) semantically segmenting the scene using a competitive encoder-decoder architecture with low computational complexity (en-abling real-time performance). Our approach incorporates RGB colour, depth and luminance images via distinct encoders with dense connectivity and features fusion to effectively exploit information from different inputs, which contributes to an optimal feature representation within the overall model. Using this architectural formulation with dense skip connections, our model achieves comparable performance to contemporary approaches at a fraction of the overall model complexity.
Design of Xinjiang Uygur Sports Virtual Museum Management System Based on ASP.NET

The traditional virtual museum management system design can only meet the management system of some areas, and also lack the function of exhibits. To this end, the paper puts forward a design of Xinjiang Uygur Sports Virtual Museum Management System based on ASP.NET. First of all, the ASP.NET technology is summarized, to analyze structure and function of the management system; and then a virtual museum is created, and the database is operated to achieve the exhibition release and user browsing function; finally, the virtual museum management system design is performed. Experiments show that it is not only conducive to the management and protection of the collection of goods, while also achieving a wider range of resource sharing.
Tailoring Echo State Networks for Optimal Learning

As one of the most important paradigms of recurrent neural networks, the echo state network (ESN) has been applied to a wide range of fields, from robotics to medicine, finance, and language processing. A key feature of the ESN paradigm is its reservoir — a directed and weighted network of neurons that projects the input time series into a high dimensional space where linear regression or classification can be applied. Despite extensive studies, the impact of the reservoir network on the ESN performance remains unclear. By analyzing the dynamics of the reservoir we show that the ensemble of eigenvalues of the network contribute to the ESN memory capacity. Moreover, we find that adding short loops to the reservoir network can tailor ESN for specific tasks and optimize learning. We validate our findings by applying ESN to forecast both synthetic and real benchmark time series. Our results provide a new way to design task-specific ESN. More importantly, it demonstrates the power of combining tools from physics, dynamical systems and network science to offer new insights in recurrent neural networks.
KESALAHAN MELAFALKAN KOSA KATA BAHASA INDONESIA OLEH MAHASISWA THAILAND DI IAIN TULUNGAGUNG

Language as a mean of communication has a vital function in social life. Good pronunciation and intonation play important role in understanding the meaning of a language. This experienced by Thai students in IAIN Tulungagung who get difficulties in pronouncing some words. This study aims to investigate some words which Thai students hard to pronouns and some factors causes these difficulties. Sometimes, Thai students lack of self-confident in spelling and pronouncing Indonesia language since they feel guilty. This study is qualitatively approached. The data were collected using participative observation with listening and writing technique. Data analysis revealed that Thai students have difficulties in pronouncing 1) menyampaikan, 2) menggendong, 3) struktur, 4) mengambil, dan 5) terpendek. The pronunciation of Thai students causes phonemic changing, phonemic adding, and phonemic omitting. The factors cause the error are internal factor and external factor.
ANALISIS PERFORMA RELAY DIFFERENTIAL PADA TRANSFORMATOR 1 GIS NEW SENAYAN

The relay differential is a major protection system on the transformer that protects the transformer from interference. Differential relays protect the transformer when there isa nominal difference in the current flowing on the high voltage side and the low voltage side and work as a sign of delay. In this research, simulation modeling with ETAP 16.0 software and data measurement has been done in GIS New Senayan. When calculating the value according to the theory, the differential relay setting for slope1 is 14% and for slope2 is 28,1% and the setting current1 is 0,1162 A and setting current2 is 0,23263 A.When making a characteristic differential relay, you can use the formula y = Irestrain x (Slope1-endsection) + Idif .. With X-axis = irestrain and Y = I differential. Then when simulated in ETAP 16.0 Software, the researcher gets the value of internal and externalshort circuit currents. , where when the internal short circuit fault is obtained, the value of the fault current is 2356 A with a differential current of 6.9673A> 0.3 A which makes the differential relay directly secure its working area, while in the external fault the short circuit current is 1108 A with a differential current of 0.2158 A is smaller Id 0.3 A, then the relay does not work to protect its working area
All-Terrain Intelligent Robot Braves Battlefront to Save Lives

As NASA s lead center for creating robotic spacecraft and rovers, the Jet Propulsion Laboratory (JPL) builds smart machines that can perform very complicated tasks, far, far away from the homeland. JPL s robotic proficiency is making an impact millions of miles away on Mars, where two rovers are presently unlocking the secrets of the Red Planet s rugged terrain, and thousands of miles away in the embattled regions of Iraq and Afghanistan, where robots sown from the seeds of JPL machines have been deployed to be the eyes and ears of humans on the front line. This commercial offspring, known as the PackBot Tactical Mobile Robot, is manufactured by iRobot, Inc., of Burlington, Massachusetts.
THE DEVELOPMENT OF INFORMATION SYSTEMS IN DOCUMENTATION MANAGEMENT OF EMERGENCYCARE NURSING

ABSTRACT&#x0D; Emergency nursing requires prompt, precise, thorough and critical thinking nursing actions. Emergency nurses are often under high pressure, so they sometimes miss documentation of nursing care because it is still manually. Whereas documentation is important as an instrument of communication between professions that contains the status of patient development, patient needs, and activities that have been planned. the documentation process is considered a hassle for nurses because it takes time. Based on this, the researcher wants to develop a software to make it easier for emergency nurses to document nursing care in the emergency unit. The method used at this research is a product-oriented development model. The stages are: 1). Initiation System (initiation of the system), 2). Analysis System, 3). Design System and 4). Production that then tested through the prototype Black Box Testing. The research result shows that this software very useful because it shortens the time for preparing reports. Even this study uses students as research objects, nurses who work in the hospital also can use this software.&#x0D; Keywords: Nursing; technology; information; documentation; Emergency. &#x0D; Abstrak&#x0D; Asuhan keperawatan gawat darurat merupakan tindakan keperawatan yang cepat, tepat, dan memerlukan ketelitian dan pemikiran kritis. Perawat gawat darurat seringkali berada pada kondisi dibawah tekanan yang tinggi, sehingga terkadang melewatkan dokumentasi asuhan keperawatannya karena masih dilakukan secara manual. Padahal dokumentasi penting sebagai instrument komunikasi antar profesi yang berisi status perkembangan pasien, kebutuhan pasien, dan kegiatan yang telah direncanakan dan dilakukan.proses dokumentasi ini dianggap merepotkan bagi perawat karena memerlukan waktu yang lama. Berdasarkan hal tersebut peneliti merasa perlu untuk mengembangkan suatu perangkat lunak sebagai upaya untuk memudahkan perawat IGD dalam mendokumentasikan asuhan keperawatan di ruang IGD. Metode yang digunakan berorientasi pada produk. Penelitian ini melibatkan beberapa ahli materi, ahli media dan pengguna. Teknik analisis data yang digunakan deskriptif kualitatif.&#x0D; Kata Kunci : keperawatan, IGD, Dokumentasi, aplikasi
Impact of SARS-CoV-2 pandemic on viral suppression for young adults living with perinatally acquired HIV infection

We compared virological and immunological outcomes for young adults with perinatally-acquired HIV infection (YAPaHIV) in the year preceding, and year of, UK SARS-CoV-2 lockdown restrictions, in a service that maintained face-to-face appointments. Retrospective single-centre cohort analysis from; Period 1(P1) twelve months before the first national lockdown - 23rd March 2019-23rd March 2020, period 2(P2) twelve months of varied restrictions - 24th March 2020-24th March 2021. Data collected from electronic records included age, ethnicity, sex, HIV viral load (VL) (suppression ≤ 200 copies/ml), CD4 count (cells/μL), clinical events, and appointment frequency/modality. Descriptive analysis was comparative between periods. Of 177 YAPaHIV: 56% were female, 86.9% were black, median age at lockdown 23 years (IQR: 21-27). One individual was lost to follow up and excluded from subsequent analysis. 147/176 (83.5%) had a suppressed VL in P1 compared with 156/176 (88.6%) in P2. Of those detectable, median VL was 3200 copies/ml (IQR: 925-36500) in P1, and 911copies/ml (IQR: 317-52300) in P2. In P1, median CD4 was 675 (IQR: 447-845.25). 32(18%) had a CD4 < 350 (median 216.5 [IQR: 94.25-269.75]). 110 (59.5%) had a CD4 count in P2, median 551.5cells/μL (IQR: 329.25-761.25). Thirty one had CD4 < 350 (median 202 [IQR: 134.5-296]). Maintaining face-to-face appointments for vulnerable patients, with remote consultation for stable patients, maintained high levels of care engagement and suppression in a YAPaHIV cohort despite pandemic restrictions.
Teachers’questioning Strategies to Scaffold Students’ Learning inReading

The objectives of this study are to analyze the type of teachers‟ questioningstrategies to scaffold students‟ learning in reading, to analyze the students‟responses to answer the teachers‟ questions, to analyze teachers‟questioning strategies in order to explain how the questions scaffoldstudents‟ learning in reading. The instruments used are classroomsobservasion, teachers‟ interviews, and document analysis. This study usesdescriptive qualitative approach: a case study in Nasima Junior HighSchool by means of questioning strategies proposed by Wragg and Brown(2001). The data are taken from classroom interaction of three teachersand sixty two students in three classes in nine meetings.The study showsthat the teachers used all variant of key tactic questions. The mostfrequent strategy is listening to replies and responding tactic. In the termof students‟ responses, the mostly response is active response in pureEnglish. In the case of teachers‟ questioning strategies to scaffold students‟learning reading, structuring, pitching and putting clearly, and directingand distributing tactic frequently perfome in before reading activities.During reading activities, the teachers performe all variant of key tacticquestion to scaffold the students, exceptly pacing tactic was never applied.In after reading activities, teachers mostly play sequencing tactic andpitching and putting clearly tactic to scaffold students‟ learning reading.
Spoken Language Identification Using Call Center Data

In this study, X-Vector and Ecapa-Tdnn models, which are recently used in speaker recognition, are proposed to be used in spoken language detection problem, and their accuracies are compared. Real agent-customer conversations from different call centers in five different languages are collected and used as the training and test sets. The Ecapa-Tdnn model outperforms the X-Vector model by obtaining 0.93 accuracy on the test set.
RESEARCH ON THE TRAINING MODE OF "DOUBLE-QUALIFIED" TEACHERS IN HIGHER VOCATIONAL COLLEGES UNDER THE BACKGROUND OF "DOUBLE-HIGH PROJECT"—TAKING SHANDONG INSTITUTE OF COMMERCE AND TECHNOLOGY AS AN EXAMPLE

Taking Shandong Institute of Commerce and Technology as a concrete case, which is one of Construction Plan of high-level vocational colleges and specialties with Chinese characteristics, this paper attempts to explore a new "double-qualified" teacher training mode to meet the requirements of the "Double-High Project" construction through the introduction and explanation of "dual-channel, multi-level, multi-circulation high platform" model of teacher training, so as to provide references for other similar institutions and achieve the goal of mutual development.
Improving students’ speaking ability through English club as an extracurricular at SMA Negeri 1 Kefamenanu

The research is aimed to obtain the effect of English club as an extracurricular activity in improving students’ speaking ability at SMA Negeri 1 kefamenanu and also to know whether there were any significant differences between students who joined English Club program and the ones who did not. The method used in this research was pre-experimental study that administered pre-test and post-test to measure the effect of the treatment. The sample of this research was eleventh grade students which consist of 15 members. The researchers  utilized the measurement technique to collect the data and the tool of data collecting was oral performance test. The result of computation of t-test in this research was higher than t-table. It proved that English club was strongly affect the students’ ability in speaking. This study produced some suggestions and recommendations for various parties involved in it.
Towards Safe, Explainable, and Regulated Autonomous Driving

There has been growing interest in the development and deployment of autonomous vehicles on modern road networks over the last few years, encouraged by the empirical successes of powerful artificial intelligence approaches (AI), especially in the applications of deep and reinforcement learning. However, there have been several road accidents with ``autonomous'' cars that prevent this technology from being publicly acceptable at a wider level. As AI is the main driving force behind the intelligent navigation systems of such vehicles, both the stakeholders and transportation jurisdictions require their AI-driven software architecture to be safe, explainable, and regulatory compliant. We present a framework that integrates autonomous control, explainable AI architecture, and regulatory compliance to address this issue and further provide several conceptual models from this perspective, to help guide future research directions.
The problem of the spontaneity of children’s creativity in the context of the pedagogical views of the abstract expressionist Mark Rothko

The research is studies the spontaneity and expressiveness of children’s art and is based on the views of Mark Rothko. The pedagogical methods of the abstract expressionist, aimed at preserving the immediacy of the pictorial expression, are relevant and applicable today. The study offers a methodology for the development of color perception and color abilities of the preschool child, which fits into the context of Rothko’s pedagogical views.