Reviewerly/exHarmony huggingface dataset:
Investment policy and development of higher education in Russia (1960s-1970s)

The historical aspect of the relationship between investment policy and policy in the field of higher education is considered. The main "problem areas" in the development of higher education of the described period are described. Attention is drawn to the negative consequences of using the so-called residual principle in relation to the formation of culture. The attempts of the country's leadership to overcome the investment crisis and replenish the budget, based on scientific and technological progress and the training of highly qualified personnel, are considered. The educational breakthrough of the late 1950s is shown, which was supposed to ensure the country's entry into the scientific and technological revolution. Emphasized: the inertia and inflexibility of the system of investment in scientific and technological revolution did not give the expected effect. Many specialists, including young specialists, turned out to be in little demand against the backdrop of a shortage of blue-collar jobs. Therefore, the growth in the number of people with a diploma of higher education in 1960-1970. led to the "devaluation" of diplomas, in the first place - engineering.
A generic and modular reference architecture for self-explainable smart homes

Explainable AI (XAI) has become a major topic in Artificial Intelligence since the mid 2010s. While smart home explainability promises to improve user experience and trust, it is mostly left outside the scope of current AI research. We identify three main challenges that may cause this delay. First, smart device heterogeneity hinders the development of a system-wide vocabulary and communication medium required for end-to-end explanation. Second, smart home runtime changes – e.g. dynamic component additions, deletions and updates – require corresponding explanatory updates. Third, explanation context runtime changes: word meanings may vary with the end-user and the passing seasons – e.g. the notion of cold may vary, depending on the month. To tackle these challenges, we propose a generic, modular XAI reference architecture featuring: i) Local Explanatory Components (LECs) that provide resource-specific explanatory expertise and support runtime extensions; ii) mapping capabilities that allow LECs to translate resource-specific monitoring variables into resource-independent abstractions – predicates and events – which can then be used for generic inter-LEC communication; iii) a generic central component, called Spotlight, that coordinates LECs to generate system-wide explanations. We validate our proposal via a cyber-physical prototype of self-explainable smart home, implemented via a physical home maquette equipped with GrovePi sensors. We show how our prototype can handle several realistic scenarios highlighting the main issues identified above. This provides an initial stepping-stone towards a fully self-explanatory smart home solution. The genericity of our proposal opens the way for transferring it to similar application domains.
STUDENT EFL PERSPECTIVE TOWARDS EFFECTIVENESS EBOOKS AND PRINTED BOOKS IN A PANDEMIC SITUATION FOR INCREASING READING COMPREHENSION AT UNIVERSITY SINGAPERBANGSA KARAWANG

The present study reports students’ responses on the usage of e-books as well as its effectiveness following their experience. This study also examines the students’ preference and experience for printed books and e-books. The method of this research is qualitative method. The data was collected through observation, interview, and documentation. Qualitative findings show that: (1) All of the students had an interest in using e-book in pandemic situation; (2) the use of e-book in in pandemic situation made students independent and active in reading comprehension; (3) e-book engaged them in reading comprehension rather than printed book; (4) e-book motivated students in reading comprehension. The findings of this study may be useful to other researchers who are interested in EFL teaching innovation or teachers who seek effective reading teaching method.
VR-MD: A Smartphone VR Application of Molecular Dynamics Simulation for Chemical Education

An application for molecular dynamics (MD) simulations was implemented on a smartphone for utilizing virtual reality (VR) in chemistry education. This application consists only of a smartphone, a simple VR lens, and an on-board camera. The screen displays molecular motions equivalent to MD calculations in actual research. The molecules move synchronously with the six-dimensional movements of the user's head. The on-board camera also recognizes hand coordinates, allowing the user to "touch" and "grab" the molecules through the hand model displayed in the VR space. This application enables users to intuitively understand molecular motion. A special lecture was held at high schools using this application, and survey results shows that students' understanding of molecules improved.
Listen-and-Answer Technique in Teaching Listening on News Items to Students at MTs Al-Ihsan Lamongan: A Classroom Action Research

The purpose of this study is to describe the implementation of listen-and-answer technique in teaching listening on news items. This study uses a classroom action research design consisting of two cycles. The subject of this study was junior high school students of MTs Al-Ihsan Tenggulun Solokuro Lamongan. Each cycle consisted of planning, action, observation, and reflection stages. Data collection techniques used are tests, observations, journals, interviews, and documentation. Data analysis was carried out quantitatively and qualitatively. Based on research data analysis, the average score of students' listening skills on news items in pre-liminary, cycle 1, and cycle 2 increased 62.9. In the first cycle the average score of preliminary study was increased 13.3 points or 24.7% with a class average value of 67.2. In the second cycle, the improvement of the average score of the first cycle was 10.6 points or 15.8% with an average value of 77.8. The improvement between preliminary and cycle 2 was 23.9 points or 62.9%. Additionally, the improvement of students listening skills in news items for each cycle was observed to be followed by changes in students positive behavior.
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives

Recently, Implicit Neural Representations (INRs) parameterized by neural networks have emerged as a powerful and promising tool to represent different kinds of signals due to its continuous, differentiable properties, showing superiorities to classical discretized representations. However, the training of neural networks for INRs only utilizes input-output pairs, and the derivatives of the target output with respect to the input, which can be accessed in some cases, are usually ignored. In this paper, we propose a training paradigm for INRs whose target output is image pixels, to encode image derivatives in addition to image values in the neural network. Specifically, we use finite differences to approximate image derivatives. We show how the training paradigm can be leveraged to solve typical INRs problems, i.e., image regression and inverse rendering, and demonstrate this training paradigm can improve the data-efficiency and generalization capabilities of INRs. The code of our method is available at https://github.com/megvii-research/Sobolev_INRs .
The Effectiveness of Visual Picture Economics Textbook Based on Problem Based Learning in Improving Reading Literacy Skills

The low reading literacy of Indonesian students is still a problem in the world of education in Indonesia. Testing the feasibility of reading literacy instruments and testing the effectiveness of visual picture economics textbook based on problem-based learning in improving reading literacy skills are the objectives of this study. This type of study is quasi-experimental, with a sample of 62 students divided into classes XI IPS1 and XI IPS2. The samples in this study used the cluster random sampling method. The data taken from this study used various techniques including (1) interviews, (2) observations, (3) questionnaires, and (4) questions. Data analysis uses several techniques including (1) quantitative descriptive analysis, (2) Inferential statistical analysis was preceded by a prerequisite test consisting of a normality test and a homogeneity test followed by a t-test, and (3) hypothesis testing. The results showed that the reading literacy instrument was declared feasible and valid, and the research data were normally distributed and homogeneous. In addition, based on the t-test, the results showed that H0 was rejected and H1 was accepted, which means that there is a difference in the level of students' reading literacy skills between using visual picture economics textbook based on problem-based learning and conventional economics textbooks. In the experimental class, the average reading literacy level was 68.74 and 60.52 in the control class. Based on these results, the use of an economic textbook with visual images based on problem-based learning is more effective in improving reading literacy compared to using conventional economics textbooks. This research implies increasing reading literacy skills by utilizing visual picture economics textbook based on problem-based learning.
The Use of Code Switching and Code Meshing in Today's Youth Speech

Young people today tend to use informal language in communicating orally and in writing, in expressing themselves in front of their community or friends, but at the same time they will change their use of language into formal language when they interact with people whose position or position is above them, whether they realize it or not. The use of informal language in expressing themselves by young people is called "code-meshing", the change in the language used is called "code-switching". This research is qualitative research that uses "screenshot chat" of these students in their "WhatsApp" group and also in a private "chat" with researchers as research data, which later be classified as "code-switching" and also how they express themselves by using informal language which will later be classified as "code-meshing". The code-switching action taken is based on the understanding of the language that these students have, they understand not only Indonesian but also understand foreign languages ​​and their respective regional languages, not only the standard language they can use but also non-standard or non-standard languages. usually called 'slang' language they understand it. Code-meshing arises because of a sense of comfort in the way a speaker expresses it. This happens because they feel comfortable using words to express themselves that they still can't let go of.
AUTOMATIZATION OF INTERNATIONAL LAW IN THE FOURTH INDUSTRIAL REVOLUTION THROUGH SMART LEGAL CONTRACTS

Purpose – Smart contracts minimise transaction costs and boost efficiency. Smart contracts are costly, single-use, and inefficient. This study proposes a smart contract mechanism to address these issues. Design/methodology/approach – This study examines smart contract research history, models, and platforms to highlight their flaws. Based on typical contract content, a smart contracts model is built. Findings – This paper describes smart contract operation using several models. Decomposing smart contracts into sub-contracts facilitates global implementation. Then, smart contract benefits and deployment strategies are examined. Here's an illustration of how smart contracts will affect our lives. Originality/value – Smart contract is expanding. This article describes smart contract structure and functioning. Keywords: AI, 4th IR, Applicability, international law, Smart contracts.
[Paper] Highly Reliable Redundant Data Allocation Method for High Availability Distributed Clusters

In mission-critical systems such as session control servers provided by telecommunications carriers, we are researching distributed cluster architectures that enable flexible control of system performance. Data must be maintained even in the event of a disaster. Considering the physical distance between the servers that manage the original and duplicate data respectively, we proposed a data redundancy control method that does not cause data loss even in the event of a large-scale disaster. The proposed method was evaluated by computer simulation. We also proposed an implementation of the data loss avoidance method in Apache Cassandra that defines “Racks” as a “site”. We implemented the method and confirmed that site collision avoidance was achieved without data loss even in the case of a large-scale disaster. We found that the number of servers in each site should be about the same for optimal data storage in terms of decentralization and reliability.
On the Relationship Between Ground- and Satellite-Based Global Horizontal Irradiance

Global horizontal irradiance (GHI) plays a significant role in maintaining the earth's ecological balance and generating electricity in photovoltaic systems. While the satellites have more range, they have been shown to over/under-estimate the true values of GHI that are observed at the ground-based stations. Hence, this study aims at analyzing the relationship between these two sources of GHI data in order to better and effectively utilize the reach of satellites for GHI analysis. The paper identifies a near linear relationship between the two and thereby concludes that an approximate mapping from satellite- to ground-based GHI values can be obtained.
News from the Field

Giant Bible of Mainz digitized by the Library of Congress Nominations sought for ACRL Board of Directors Project MUSE adds University of Toronto Press books MIT Press joins OpenAthens Federation New from ACRL—Academic Librarian Faculty Status NIH Data Management and Sharing Policy report now available Indiana State Library named 2022 Federal Depository Library of the Year
Penerapan Metode Scrum pada Pembuatan Aplikasi Sistem Tanda Tangan Digital dengan QR Code Berbasis Website

Sign systems that are still traditional are considered less effective and are starting to be replaced by digital because they can save resources and time compared to having to meet in person the traditional way. According to several studies that have been reviewed previously, the use of digital signatures using a QR Code based on a website has proven to be effective and efficient to implement. At this time the use of digital signatures has begun to be used in various places, because signatures that are done manually using a wet pen are considered less efficient because it requires a long process and is easy to manipulate, which causes the validity of the signature to decrease. . With these problems, we developed a Website-Based Digital Signature System for the Informatics and Computer Engineering Education Study Program, State University of Jakarta by applying the scrum method. Scrum is an additional responsive framework for developing software and managing product or application development. Scrum is a complex process in which many factors affect the final result. Based on our development, we conclude that it is proven that the existence of a website-based signature application using a QR Code can make the signature process more efficient and effective and can increase the level of validity of the signature because QR Codes are difficult to manipulate. that we created can be applied in many places and reduce the problem of the length of the process of requesting a signature.
IFKS&amp;MP career guidance center project

Relevance . About 2/3 of those who have received higher education in the Russian Federation do not work on a special basis. Even more citizens are disappointed by their own career achievements. Purpose . Choosing the most accurate career solution due to the examples of the most famous people with a similar personality structure. Methodology and organization of the research. The methodology is shown in the project diagram. The created algorithm detects these mistakes in its choice of 2/3 of applicants in advance. The effectiveness of the technique has been repeatedly tested on the examples of people 35-45 years old with achievements. According to this indicator, the methodology has a leading position. Results of the research. The authors managed to formulate the most likely solution for the personality structure, generate on this basis a career decision of the applicant that allows winning the greatest competition and formalize it with modern IT tools. Conclusions . The test used can be used to evaluate applicants/students when applying for an internship/master's degree.
Drowning Rescue System with an Unmanned Aerial Vehicle

The purpose of this report is to describe a drowning rescue system by means of a rescue UAV and monitoring system. Comprises: camera kit, PC, rescue UAV, operator. The report provides a description of the problem, the parameters of the camera and the rescue UAV. With the help of AI (Artificial Intelligence) elements and/or the operator the following is determined: the problem case, the position of the searched object is automatically calculated (by highlighting the searched object in the video stream from the camera; calibration tests have been developed to determine the exact position of the camera). Two types of calibration tests were developed to determine the exact position of the camera: primary and periodic calibration. Rescue UAV with the watercraft attached flies to the target location, delivering the rescue equipment. The rescue system has been successfully tested and has been actively exploited. After calculating the position of the desired object relative to the camera, the local coordinates are translated into the absolute coordinates of the WGS-84. Based on the obtained coordinates, a flight task for a rescue UAV is formed. A rescue UAV with an attached watercraft flies to the target point, delivering a rescue vehicle and hovers over the desired object to indicate the scene of the accident to the rescue team. The rescue system has successfully passed the test tests in the coastal city of Anapa and is actively used at the moment. The report provides further plans for the development of the rescue system.
THE CORRELATION BETWEEN PAST TENSE MASTERY AND WRITING SKILL IN PERSONAL RECOUNT TEXT

Past tense mastery supports the students’ writing skill in personal recount text. Considering the importance of past tense in the text construction, the investigation concerned on the correlation between past tense mastery and writing skill in personal recount text of the tenth grade students of SMA Arinda Palembang. The objective of this study was to find out whether there was a significant correlation between past tense mastery and writing skill in personal recount text of the tenth-grade students of SMA Arinda Palembang. The sample of this study was 62 students taken from X1 and X2 of SMA Arinda Palembang by using purposive sampling technique. The method used in this study was a quantitative method with a correlational research. The data collected were writing test and past tense mastery test. The result of this study showed that there was no a significant correlation between students’ past tense mastery and writing skill in personal recount text in low category. It was proved by correlation coefficient between students’ past tense mastery and writing skill was 0.633 (r xy ) at the significance level 0.062 was higher than 0.05. On the basis of the finding, the writers concluded that there is no a significant correlation between students’ past tense mastery and writing skill. It means that when students have minimum level of past tense mastery, it did not mean that they also get poor achievement in writing.Past tense mastery supports the students’ writing skill in personal recount text. Considering the importance of past tense in the text construction, the investigation concerned on the correlation between past tense mastery and writing skill in personal recount text of the tenth grade students of SMA Arinda Palembang. The objective of this study was to find out whether there was a significant correlation between past tense mastery and writing skill in personal recount text of the tenth-grade students of SMA Arinda Palembang. The sample of this study was 62 students taken from X1 and X2 of SMA Arinda Palembang by using purposive sampling technique. The method used in this study was a quantitative method with a correlational research. The data collected were writing test and past tense mastery test. The result of this study showed that there was no a significant correlation between students’ past tense mastery and writing skill in personal recount text in low category. It was proved by correlation coefficient between students’ past tense mastery and writing skill was 0.633 (r xy ) at the significance level 0.062 was higher than 0.05. On the basis of the finding, the writers concluded that there is no a significant correlation between students’ past tense mastery and writing skill. It means that when students have minimum level of past tense mastery, it did not mean that they also get poor achievement in writing. Keywords : past tense, writing skill, personal recount text
Reading Attitudes, Habits and Classroom Practices among Ecuadorian Master’s Students

The purpose of this study is to determine how master's students' personal reading attitudes and habits impact their classroom instructional practices. An online questionnaire was used to collect data on participants' habits and attitudes toward reading in English. Only 24% read between 30 minutes and more than an hour, a small number of teachers (8) consider themselves to be "devoted" readers, teachers who value reading more are more likely to use best practice strategies. However, teachers who value reading less tend to share their own perceptions related to reading and also recommend reading material to students, and teachers who read for pleasure more than 30 minutes a day use a greater number of instructional practices considered to be among the best.
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction Techniques

ew-shot learning is a fairly new technique that specialize in problems where we have little amount of data. The goal of this method is to classify categories that hasn’t been seen before with just a handful of samples. Recent approaches, such as metric learning, adopt the meta-learning setting in which we have episodic tasks conformed by support (training) data and query (test) data. Metric learning methods has demonstrated that simple models can achieve good performance, by learning a similarity function to compare the support and the query data. However, the feature space learned by the metric learning may not exploit the information given by a specific few-shot task. In this work, we explore the use of dimension reduction techniques as a way to find task significant features. We measure the performance of the reduced features by giving a score based on the intra-class and inter-class distance, and select the method in which instances of different classes are distant and instances of the same class are close. This module helps to improve the accuracy performance by allowing the similarity function, given by the metric learning method, to have more discriminative features for the classification.