Reviewerly/exHarmony huggingface dataset:
Penggunaan Media Dadu Pertanyaan pada Mata Pelajaran Bahasa Indonesia Materi Penggunaan Kata Tanya untuk Meningkatkan Hasil Belajar Siswa Kelas II SDN 61/X Talang Babat

This study aims to improve student learning outcomes by using the media of question dice in Indonesian subjects on the use of question words for Class II SDN 61 / X Talang Babat. This research is a classroom action action (PTK). This research consisted of 2 cycles. The stages of each cycle are the stages of planning, observing, observing and reflecting on actions. The research subjects were students of class II SD Negeri 61 / X Talang Babat in the second semester of the 2018/2019 academic year, which amounted to 28. The data of this study were text and numbers regarding the understanding of major learning outcomes using question words. Observation data through and tests. The result of the research states that the improvement of learning using question dice media can improve student learning outcomes. It can be seen from the results of observations and evaluations that have been carried out in cycles I and II in the implementation of this Classroom Action Research. The average learning outcomes obtained by students in the first cycle was 71.46 and in the second cycle the students' average was 77.5. Meanwhile, the percentage of students who did not complete the learning process decreased from the first cycle to 40% and the second cycle to 14%. From the results of this study shows that there is an increase in Learning Outcomes with the Use of Question Dice Media in grade II SDN 61 / X Talang Babat in the 2018/2019 Academic Year.
Research Guides: Library Resources for Distance Learning - Videos: Newspapers

Library resources can be accessed remotely via the Leonard Lief Library website - here are videos showing you how.
A Review on Light Weight Vermiculite Concrete

Concrete is most using material in the world. In Concrete aggregate occupies nearly 80%. Most ofthe aggregates of normal weight Concrete are natural stone such as granite, Lime stone and fine aggregatesand. Light weight aggregate capable for concrete may be regular materials such as pumice or scoria, or theymay be prepared aggregates such as expanded clays, shale’s, slates and slag’s. Vermiculite is an aggregate thatis created when volcanic rock is heated to intense temperatures. It is being a granular expanded aggregate withnumerous air voids, when mixed with suitable binder develops lighter structure and sound insulatingproperties. In recent years research is going on light weight vermiculite materials as replacement for fine andcoarse aggregate in concrete. In this paper an attempt is made to gather all the studies made on light weightvermiculite concrete in the recent years and put together at one place.
Reminiscences of Rimsky-Korsakov, His Family and Artistic Circle

Nikolai Rimsky-Korsakov’s apartment in St Petersburg, at 28 Zagorodny Prospekt, was famous for its hospitality. Twice a month, at fortnightly intervals, the composer’s family hosted musical evenings known as ‘Korsakov’s Wednesdays’. Here would gather friends and colleagues representing every aspect of the city’s vibrant artistic community: music, theatre, literature and art. Regular visitors included the composer Alexander Glazunov, the concert pianist and conductor Felix Blumenfeld, Vasily Yastrebtsev (Rimsky-Korsakov’s first biographer)1 and the art and music critic Vladimir Stasov (who first applied the term Moguchaya kuchka to ‘The Mighty Handful’), the painter Mikhail Vrubel’ and his wife, coloratura soprano Nadezhda Zabela-Vrubel’ as well as the legendary bass Fyodor Chaliapin; both of these singers regularly performed at the Maryinsky Theatre in productions of Rimsky-Korsakov’s operas.
PENERIMAAN MURID PRASEKOLAH LUAR BANDAR TERHADAP PENDEKATAN PEMBELAJARAN FLIP

The purpose of this study was to determine the rural preschoolers’ acceptance and factors influencing their acceptance in using a flipped classroom approach in learning Mathematics. This study uses the technology acceptance model by Davis (1989) and the flipped classroom model by Bergmann and Sams (2012). This study is a qualitative method using observation and interview methods. The observation method was conducted by using a checklist during the teaching and learning process for Mathematics learning in the flipped classroom. The interview method was conducted on six preschool students and one preschool teacher. The results showed that rural preschoolers were positively the flipped classroom approach in learning Mathematic. Two factors were influencing the acceptance in using a flipped classroom approach such as information and communication technology factors and social environmental factors. Further studies are expected to utilize the various use of information and communication technology facilities for rural preschoolers so that they can experience the same educational opportunities as preschool students in the city.
FMWhatsApp APK Download v10.0.0 (Official Latest %%currentmonth%% %%currentyear%%)

WhatsApp is one of the most well-known communication platforms ever and has a lot of clients and downloaders across the globe. Because of this, it has a ...
WAYS TO IMPROVE THE OBJECTIVITY OF STUDENTS' KNOWLEDGE ASSESSMENT

E. Kazakova, M. Kruchek, E. Moshkina, O. Sergeeva, E. TikhomirovaPetrozavodsk State University (RUSSIAN FEDERATION)
Reliable Reliable Path Finding Technique for Mobile Robot

This paper we have discussed path planning techniques of mobile robot (Automated Vehicle). Though different researchers had proposed different path planning strategies, each plan has its own advantages and disadvantages. The goal of the research work is to develop an algorithm to find out an optimal path from source to destination along with the obstacles. The path planning algorithm not only minimizes the risk of collision but also reduces the planning time. This method creates a reliable path between desired locations avoiding obstacles. The proposed algorithm is to be implemented to get the reliable path and to be compared with that of the existing algorithm to find the optimized path. The new approach is able to minimize the risk of collision and travelling time with the help of different parameters and simulation software. It has been proved through experimental results that the performance of the proposed algorithm is improved considerably and work efficiently when the shape and size of the image changes. It also turns closely at the corners of the obstacles and also reduces the number of steps without any effect to the steps and corners. Time and space complexity analysis for this algorithm is experimentally tested and implemented.
Adversarial Rectification Network for Scene Text Regularization

Scene text recognition with irregular layouts is a challenging yet important problem in computer vision. One widely used method is to employ a rectification network before the recognition stage. However, most previous rectification methods either did not consider recognition information or were integrated into end-to-end recognition models without considering rectification explicitly. To overcome this issue, we propose an adversarial learning-based rectification network that integrates transformation (from irregular texts to regular texts) with recognition information into a unified framework. In this framework, we optimize the rectification network with an extended Generative Adversarial Network that competes between rectifier and discriminator, together with the results of a recognizer. To evaluate the rectification performance, we generated a regular-irregular pair set from the benchmark datasets, and experimental results show that the proposed method can achieve significant improvement on the rectification performance with comparable recognition performance. Specifically, the PSNR and SSIM are improved by 0.81 and 0.051, respectively, which demonstrates its effectiveness.
TECHNOLOGY EDUCATION VS TRADITIONAL EDUCATION: A TRANSITION IN THE 21ST CENTURY – A SYSTEMATIC REVIEW

Traditional Education (TradEd) particularly learning and teaching through human interaction has temporarily been substituted with an increase in Technology education (TechEd) globally. Especially, with governmental social distancing measures implemented as a result of the recent coronavirus pandemic. The importance of online learning has currently become imperative but was recognized prior to the pandemic within higher education institutions globally. Information and Communication Technologies have evolved to Knowledge Management Systems (KMS) from Student Information Systems (SIS). However, the effectiveness of designing, teaching and assessing these courses online can be challenging. Purpose – The objective of this study is to investigate the transformation to TechEd in the 21st century from TradEd, the reasons and benefits of the transformation with recommendations in innovating learning approaches. Methods- A systematic literature review was carried out by means of a literature search in the subject of Technological Education and Traditional Education were identified through databases and other information sources like magazines and Journals. Sources were screened to ensure eligibility relating to the subject criteria through adhering to defined search terms with inclusion and exclusion criteria. This systematic method was carried out to obtain an understanding of the education system since digitalization and identify tends. Results- TechEd within higher education institutions has progressed due to increased globalization. This has resulted in changes within the infrastructure of private and governmental higher educational systems economizing resources. There is still a requirement for traditional education although TechEd has many benefits it is a complex entity which is continuously evolving requiring teachers and students to understand and relearn new software and programs. E-learning methods, E-notes, Admissions, exams, teaching internationally, library’s all online. However, difficulties endured included technological failures or associated change and human challenges. Added psychological burden, work environment, international language barriers, feedback and online distraction issues. An amalgamation of TradEd associated with human interaction and TechEd learning processes are required for effective student, teacher education to occur providing hope and not hype. Conclusions/discussion- The transition from TradEd to TechEd is not easy due to the constant evolution of new advancements requiring orientation and training, this can result in challenges within education. However, functional, technological and human perspectives are required for students and teachers to grow individually and in unison. Therefore, by mixing and adapting human and technological approaches relating to methods and application will aid lifelong learning not just within the 21st century and create best practice for a progressive future in TechEd.
Verification of Truth Table Minimization Using Min Term Generation Algorithm Weighted Sum Method

A conventional approach for preparing truth table(TT) is from Boolean logic function which is then demonstrated in the form of the sum of min terms corresponding to the rows in which it appears. This paper uses the idea of reduction of truth table forming new truth table in which one of the input of expression is reduced and the final expression is described using the exhausted input. The same is continued till all the inputs are used up and the final expression is generated. This paper proposed to verify the reduction of expression obtained from truth table with modified minterm generation algorithm with lesser difficulty A reduced truth table is proposed to avoid bigger size of the truth table for all circuits using multiple inputs, which is proposed in [6] and There after this paper discusses about the verification of the final expression using weighted sum method to check the veracity of truth table minimization, over all the truth table given with same input and outputs described in any form Min term algorithm uses the idea of input system which is could of any number is amounted in a matrix form and is recounted in SOP form. This paper shows the constructive and better logical understanding about truth table minimization and generation of min term which can be used any large number of inputs in an easier way.
Natural Language Understanding

In the last chapter, you used the SEQ2SEQ model along with the Attention to perform a language translation. In this chapter, I will show you a more sophisticated technique for Natural Language Processing. You will learn to use the latest innovation in natural language modeling called Transformer. The Transformer model eliminates the need for LSTMs and produces far better results than the SEQ2SEQ model that uses LSTMs. So, let us understand what a Transformer model is.
RESEARCH OF STUDENTS-PSYCHOLOGISTS’ SOCIAL MATURITY IN CONNECTION WITH MOTIVES OF PROFESSIONAL SELF-DETERMINATION

O.S. Vindeker1, B.J. Berzin1, V.A. Arkhipova2, N.A. Korepina1 1Ural Federal University (RUSSIAN FEDERATION) 2Ural Institute of Management (RUSSIAN FEDERATION)
Role of robotic telepathology for frozen-section diagnosis

Frozen section (FS) diagnosis has been used as an important factor in intraoperative decision making. FS are more difficult to interpret than examination of formalin-fixed, paraffin-embedded sections. Nevertheless, FS is regarded as an accurate means of diagnosis during surgery and often has a significant influence on the surgical operation being performed. Robotic Telepathology is the practice of digitizing histological or macroscopic images for transmission along telecommunication pathways for diagnosis, consultation, or continuing medical education. In dynamic telepathology, the consultant examines a slide remotely with a robotic microscope that allows him or her to select different fields and magnification powers. Static telepathology relies upon images sent by the referring pathologist. Because the field selection is accomplished by the consultant, the information that he or she obtains is the same as he or she would obtain at the microscope in person. One of the most promising applications of telepathology is intraoperative consultation to be allowed with pathology support located elsewhere, allowing surgeries requiring an intraoperative histopathological diagnosis without a pathologist on site, thereby preventing medical errors, reducing costs, and increasing quality. Also to submit histological slides to a remote pathologist requires packing and postage expenses, Additionally, increasing documentation between countries is necessary to ensure the lack of pathological risk associated with the submitted material which can be avoided by telepathology and also it can reduce the travel time of the pathologist, which is expensive, nonproductive professional time. Hence, the provision of pathologic care using telepathology for routine, emergent and FS diagnosis can support primary and second-opinion pathology diagnosis throughout the world.
Demystifying the Black Box - Exploring How Users Make Sense of Fully Automated Vehicles

Vehicles are becoming increasingly automated. Already today vehicles are able to take over and assist the human driver in certain driving tasks, and the scope of technical possibilities is rapidly expanding. However, for the proliferation of AVs to occur, there are several challenges that must first be overcome. These challenges are not only structural, including regulations and technological development, but also user-related, such as the adoption of and willingness of users to use the system. Previous research has identified the importance of user understanding of Automated Vehicles (AVs), as this affects usage directly as well as indirectly by impacting acceptance. In this thesis, a design approach has been chosen that uses a product semantic framework as the basis for addressing the issue of user understanding with the aim of exploring how users make sense of the AV. The research presented is based on data from a quasi-experimental study, conducted using a seemingly fully automated (WOz) vehicle on a test course where participants’ understanding was investigated both during and after the test runs. The findings show that use of the AV gave rise to several levels of meaning, based on two different processes. The main one was an external process, where integration of the participants’ conceptual models of human drivers and AVs, artefactual signifiers, and situational signifiers in a context developed meaning. However, an internal process was also evident, where meanings themselves developed new meanings. This thesis presents a tentative model based on the findings, describing three important components: the user’s conceptual model, the signifiers, and the meanings that arise during usage of the AV. The model illustrates the complex interplay between these three components and can be used to better understand and investigate how users make sense of AVs to aid the design and development of AVs. The thesis also contributes to the field of product semantics through the practical application of product semantic theories, in addition to providing further insight into how users develop meaning and make sense of artefacts, by describing the processes and components which seem to be the foundation when making sense of artefacts. Having said that, further studies need to explore in greater detail the dynamics of the process of making sense, the process of making sense in partially automated vehicles, and how meaning changes during a prolonged usage.
METHODOLOGY FOR THE FORMATION OF A MOTIVATIONAL-STIMULATING FACTOR IN TEACHING A PROFESSIONALLY ORIENTED FOREIGN LANGUAGE

O. Frolova1, E. Liakhova1, V. Lopatinskaya2 1Moscow state institute of physical culture, sport and tourism named after Yu.A. Senkevich, Moscow (RUSSIAN FEDERATION) 2Plekhanov Russian university of economics, Moscow (RUSSIAN FEDERATION)
EXPLORING THE IMPACT OF MOB PROGRAMMING ON THE WELL-BEING OF DEVELOPERS: INSIGHTS FROM A SOFTWARE COMPANY

Research has demonstrated that software engineering teams nowadays face numerous challenges that revolve around the well-being (happiness) of the developers. One way to address these challenges can be through Mob Programming (MP). Mob programming represents a novel software development practice where a whole team works together on the same coding problem, at the same time, in the same space and on the same computer. In this study, we investigate the impact of using MP on the well-being of software developers. A qualitative method with semi-structured interviews and observations was applied for its ability to extract in-depth and valuable information. The participants selected for this study derived from four different development teams who worked at Fortnox AB in Va?xjo?, where one of the four development teams used MP on a daily basis and the three other teams practise MP on an occasional basis. A total of 13 interviews were conducted at the company's offices. Thematic analysis is used to organize and create a structure regarding the information from the interviews. Two themes with specific sub-codes are created based on the thematic analysis: Team dynamics and Individual dynamics, which are derived from the interview questionnaire. The study found that the majority of software developers were impacted in a positive way regarding well-being while practising MP. Reduced stress and individual work pressure, and increased social interaction were two of some prominent factors that contributed to this result. However, stress was also found to have negative effects on some developers, which was associated with the constant attention and overlooking by others during the coding process.
User Opinion based Trust Value Prediction for Online Social Network

Online social networking has caused profound changes in the way people communicate and interact. Preserving information privacy is indispensable in such social applications as the shared information would be sensitive. The issue becomes more challenging because of participation of multiple parties on the same shared data. Here propose an efficient trust collection based data sharing technique to allow or disallow the shared resources considering the authorization requirements of all the multiple parties. A logical representation of the proposed data sharing technique is prepared to analyze the privacy of data before sharing to public users. A user in this system is associated with a few trusted users that were selected from the user’s friends. When the user wants to share information to the account, the service provider sends information to the user’s trustees. The user must obtain at least k (i.e., recovery threshold) threshold values from the trustees before being directed to public share. Considering that a user continually posts data items in an OSN, here model the threshold selecting problem as a sequential decision-making problem. More specifically, we formulate the problem as a multi-armed bandit problem and apply the upper confidence bound (UCB) policy to solve the problem. This shows that dynamically adjusting the threshold according to the UCB policy can lead to a higher payoff than using a fixed threshold.
Quantum Metrology with Coherent Superposition of Two Different Coded Channels.

We investigate the advantage of coherent superposition of two different coded channels in quantum metrology. In a continuous variable system, we show that the Heisenberg limit $1/N$ can be beaten by the coherent superposition without the help of indefinite causal order. And in parameter estimation, we demonstrate that the strategy with the coherent superposition can perform better than the strategy with quantum \textsc{switch} which can generate indefinite causal order. We analytically obtain the general form of estimation precision in terms of the quantum Fisher information and further prove that the nonlinear Hamiltonian can improve the estimation precision and make the measurement uncertainty scale as $1/N^m$ for $m\geq2$. Our results can help to construct a high-precision measurement equipment, which can be applied to the detection of coupling strength and the test of time dilation and the modification of the canonical commutation relation.
Online Sequential Extreme Learning Machine based Instinct Plasticity for Classification

Random determination of input weights leads to unstable performance in Online Sequential Extreme Learning Machines (OS-ELM), so obtaining reliable input weights was expected to improve the model performance. We designed a new model-the OS-ELM based Instinct Plasticity with a new weight selection scheme (NOS-ELM-IP) to enhance the forecast stability and accuracy for classification. In this model, the input weights were selected by a new weight selection method, which replaced the original random selection part in OS-ELM. Moreover, the Instinct Plasticity idea was used to find the gain and bias, used in the sequential training part of OS-ELM. It maximized the information of hidden neurons and enlarged the memory. The experimental results show that the proposed new weight selection method and Instinct Plasticity rule enhanced the overall performance in classification tasks for binary and multi-class data sets.