Reviewerly/exHarmony huggingface dataset:
EVALUASI DAN PERENCANAAN ULANG DRAINASE JALAN LETKOL POL. H.M. ASNAWI ARBAIN BALIKPAPAN SELATAN, KALIMANTAN TIMUR

A flood is an excessive puddle of water, especially that often occurs during the rainy season. These puddles arise due to an increase in the volume of water flowing above the land surface, either due to high rainfall or overflowing river water, in the area of ​​Jalan Letkol.Pol.H.M. Asnawi Arbain floods frequently happen when it rains. The aim of this research is to re-plan the drainage system in Jalan Letkol.Pol.H.M. Asnawi Arbain to drain water during the rainy season so that puddles don’t occur due to high rainfall.This research was conducted with the supported data from the field and related institute. The data processing method uses manual calculation with the normal distribution method and Gumbel distribution for rainfall calculations, the Mononobe method for calculating rainfall intensity, and the rational method for calculating the planned discharge then a comparison of the total plan discharge with the planned channel dimension capacity.From the results of the analysis, the channel dimensions are obtained for Jalan Letkol.Pol.H.M. Asnawi Arbain with a square shape and reinforced concrete material is the height of submerged drainage (d) = 1.1 m, the height of drainage guard (w) = 1.2 m, and drainage width (b) = 2.3 m.
Withdrawal Notice: Measurement of Social Presence Influence Student Satisfaction in an Acupuncture Online Training

The article has been withdrawn at the request of the editor of the journal Current Traditional Medicine due to incoherent content. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.com/editorial-policies-main.php Bentham Science Disclaimer: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.
Scratch Sampler (Beginner)

Technology affords musicians of all ages the ability to choose how they interact with sound. In this recipe, children learn how to use the programming language Scratch to create their own musical instrument—a sampler—which they will use to create original music. Designed for students in the elementary grades, this activity includes the following learning outcomes: coding in Scratch, musical decision making, engaging with iterative design processes, creating music with a self-designed instrument, understanding the concept of cause and effect related to sound and a music interface, working in groups, and offering and receiving feedback about the creative process.
An Improvement Plan of Liberal Education for Strengthening Competency : Focusing on 〈Thinking and Expression 1〉 of Chosun University

The core keywords of recent change are ‘liberal art’ and ‘competency’. This is the change in university education which was triggered by the change collectively called 4th industrial innovation. In particular, the rapid technology development has reduced the effectiveness period of knowledge and it also reflects the change of educational environment in which ‘utilization and learning of knowledge’ is emphasized from ‘knowledge delivery’, which had been the core of existing teaching method. The reactions from the educational site are largely carried out in two dimensions. First, the effort to improve teaching method for strengthening teacher"s competency. Second, setting the educational goal for strengthening student"s competency and designing the curriculum that satisfies this goal. Therefore, the educational innovation center of Chosun University intends to prepare the improvement plan based on the indicated problem after consulting the curriculum of <thinking and express 1> and <thinking and express 2> in 2020 for the liberal education that can strengthen the competency.<BR> Therefore, we prepared the standard lecture plan to shift into the education which can uniformalize the class and strengthen the competency, and prepared the improvement plan which allows to figure out the achievement level of competency strengthening by developing the tool that diagnoses the competency. In particular, the pre/post evaluation tool is developed in order to judge whether the competency strengthening is actually achieved. However, the problem of improvement plan will be supplemented in the future because the standard lecture plan and the competency diagnose tools are not applied in the class yet.
Implementation of Vision and Lidar Sensor Fusion Using Kalman Filter Algorithm

Self-driving car is the next milestone of the automation industry. To achieve the level of autonomy expected in a self-driving car, the vehicle needs to be mounted with an assortment of sensors that can help the vehicle to perceive its three dimensional environment better which leads to better decision-making and control of the vehicle. Each sensor possesses different strengths and weaknesses; they can complement each other better when combined. This is done by a technique called sensor fusion wherein data from various sensors are put together in order to enhance the meaning and accuracy of the overall information. In real time implementations, uncertainty in factors that affect the vehicle's motion can lead to overshoot in parameters. In order to avoid that, an estimation filter is used to predict and update the fused values. This project focuses on sensor fusion of Lidar and Vision sensor (camera) followed by estimation using Kalman filter using values available from an online data set. It can be seen how the use of an estimation filter can significantly improve the accuracy in tracking the path of an obstacle.
Shortening and Clipping in Serbian Text Messaging

The analysis of shortening and clipping in text messaging is of interest both from sociolinguistic standpoint since it is considered as a feature of this type of texts, often critized as having a negative impact on the literacy in young people, and from general linguistic aspect of a (non)morphological process of shortening words and expressions.The majority of analyzed cases that occur in the corpus of Serbian text messages show that it is indeed the young texters who use shortened forms of words more often than people over thirty years of age, but the young generation also use them in line with spontaneous oral language and with usage of quite a few shortened forms as prescribed by the orthographic rules, than some deviant, irregular ways.Rather, these shortenings have the roles of confirming ingroup relations, spontaneity and easy everyday communication between friends, reflecting informality of spontaneous, everyday oral communication, and often showing subtlety in implicit knowledge of the language rules.
Upcoming Applications, Challenges, Need of SecuJainrity And Future Scopes of Internet-of-Things (IoT)

In the previous few years, there's been a big development in technology, and the Internet of Things (IoT) performs a most important function in it. The easy definition of IoT is taking all the things in the world and connecting them to the internet. With the assist of IoT, automation is no longer a digital reality. IoT has capacity to switch records over a community except requiring human-to-human or human-to-computer interaction. The great set of functions for IoT units is regularly divided into consumer, commercial, industrial, and infrastructure spaces. Security is the largest difficulty in adopting IoT technological know-how with issues that fast improvement is going on besides excellent consideration of profound protection challenges worried and the regulatory adjustments that would possibly be necessary. In this paper, the IoT vision, present protection threats,and open challenges in the area of IoT are discussed.Also, the future scope of IoT is discussed.
NPTCLibGuides: Chromebooks: Using the Touchpad

A guide to using Chromebooks from the NPTC digital loans scheme. Learn about the extra features of the Chromebook touchpad
DOCTORATES IN COLOMBIA: A HARD ROAD AHEAD

The development of tertiary education in Colombia is undergoing a crisis not only of a temporary nature, due to the phenomenon of the pandemic that we have been experiencing since 2020, but also of a structural nature that has been taking shape since the end of the 20th century and the beginning of the 21st, which must be adequately resolved if we are to emerge strengthened by assimilating the transformations. For this reason, we propose to introduce in this editorial the problem and some outlines of solution, which must be assumed from the academy and especially from the integrated research to the teaching and social projection, in the highest doctoral level that deserves to question if it is fulfilling that important transforming mission of the social, the political, the cultural and the educational.
ANALISIS KESULITAN BELAJAR SISWA DALAM MEMAHAMI MATERI PERTUMBUHAN DAN PERKEMBANGAN MAKHLUK HIDUP KELAS XII MIPA SMAN 1 CIBUNGBULANG KABUPATEN BOGOR

This study aims to obtain information about students' learning difficulties on the material for the growth and development of living things that are studied in odd semester XII Mathematics and Natural Sciences and what factors are causing them. The method used in this research is descriptive method. The population in this study were all students of class XII MIPA in SMA Negeri 1 Cibungbulang in the academic year 2019/2020 with a sample of one class, namely class XII MIPA 1, amounting to 36 people consisting of 26 female students and 10 male students. Data in the form of student learning outcomes were collected using a description test instrument, amounting to 9 questions, while data regarding student responses to biology subjects and data to explore the factors causing student learning difficulties using a questionnaire or questionnaire. Data analysis using the description test found that 26 students out of 36 students achieved grades below the KKM which meant that 72% of students had learning difficulties. Based on the results of this study it can be concluded that 72% of students have difficulty learning in understanding the material for growth and development in living things. The most difficulty level of students is in the medium category (38.9%) followed by the low (25%) and high categories (25%) i. Only 11, 1% of students in the very low learning disability category. Student interest, student attitudes, student health, family support, completeness of facilities and infrastructure of teaching methods and the general condition of the student's home environment already support the learning process and are not factors in causing learning difficulties experienced by students. Factors that cause students 'learning difficulties turned out to be due to the test questions which according to students were difficult to do because 55.5% of the questions included analytical questions (HOTS) so that students' test scores were relatively low on growth and development material in living things.
SMART UNIVERSITIES: A TECHNOLOGICAL FRAMEWORK

Higher education is an essential platform for generating high-quality educators. Theeducation sector is entering a new global dimension with the advent of Web 2.0 and IoT technology.Smart campuses are a universal digital link via cloud computing, big data, network platforms, andsecurity services. This study mainly focuses on the conceptual framework of a smart campus and itsusage efficiently and effectively. The technologies involving in this conceptual study listed as automaticattendance systems, Virtual reality (VR), Augmented reality (AR), Wireless sensor networks, bodysensor networks, smart door locking system, cloud computing, wireless sensor networks, and smartlibrary. The attendance issue, pedagogical issue, and infrastructure issues are the critical issues of anyeducational sector. When the proposed technology is developed with mentioned technology as a fullpack, all education sectors will be given their best throughputs
Applying PrivateSky technologies regarding confidentiality in a wide spectrum of cloud based applications

This paper presents an accounting application that is based on blockchain technology and uses the PrivateSky platform. The presented application can be easily adapted to any domain application (metrology, energy). It uses security and confidentiality principles applied by means of blockchain technologies and the authors present how these techniques can correct the main shortcomings of existing solutions on the market.
La reazione all’errore. Implicazioni didattiche e interazionali dei principali tipi di feedback correttivo conversazionale in classe

Faced with the student's error, the teacher reacts in various ways. This contribution is aimed at teachers, in service or in training, to raise awareness and refine the practice of using a fundamental didactic tool in conversational exchangewith students: correction (or rather, repair or feedback). The text first delimits the theme of error reaction, definedas negative conversational in line with the perspective taken by the interactionist vein of studies on language acquisition. With the help of examples from interactions of the Italian L2 class context the fundamental ways of reacting to language errors in learners' speech are discussed. Based on the main results of the research on feedback, the main didactic and interactional consequences are outlined for each of them. The work concludes with some ideas for actions and reflections on feedback.
LibGuides: Capability Framework [V1]: Scholarly Communication tasks

Supporting researcher-facing librarians to successfully deliver inside-out services and support. What capabilities are strongly associated with these tasks and at what level
EFEKTIVITAS BELAJAR DARING SISWA SD BANDA ACEH-ACEH BESAR PADA MASA PANDEMI COVID 19

At end of 2019, world was shocked by emergence of a deadly virus; (Coronavirus Disease 19 (COVID 19). Since its emergence, Indonesian government issued a policy set out in Government Regulation Number 21 of 2020 concerning Large Scale Social Restrictions. One of policies is to stop learning activities at school, that is replaced by online learning at home. This regulation has been stated in Ministry of Education and Culture Circular Letter number 15 of 2020; the aim of implementing learning at home is to ensure fulfillment of students' rights to get educational services during Covid 19”. The This study, therefore, aimed to figure out effectiveness of learning at homes of elementary school students in city of Banda Aceh and Aceh Besar during Covid 19 pandemic and to analyze respond of students’ elementary school parents toward learning process conducted at home during Covid 19 disease. This study is a qualitative approach using a survey method. The results of this study indicate that during online learning, teachers use WhatsApp application more for learning, and less do video conferencing with students, however, some teachers still accompany students to learn online and also provide clear work instructions to students. Another result found that teachers experienced many obstacles, such as unstable internet networks, and th parents who did not understand children's learning materials, and more than 80% of elementary school teachers in Banda Aceh and Aceh Besar cities did not agree with online learning process, due to online learning more effective to be applied in elementary schools.
Android-Based "Idea Bank" Application as Media E-Learning in Courses Change Management

During this time for change management lectures, it is still often conveyed by the method of lectures and group discussions on cases of change in the industry and its management. Idea Bank application will be expected to be a reference for students to pour ideas of change, try to design changes, keep documentation of the implementation of changes they make, so that the idea of changes and innovations made by students in this application later may also be useful for the State University of Malang, because during this time the tasks carried out by students are more often stored in hard copy, or soft copy personally by lecturers who foster the subject.The purpose of developing e-learning media in change management courses in the form of android-based "idea bank" application is to create more innovative electronic learning media and provide more interactive learning media to students in accordance with the millennial era they live in.Learning tools developed in the form of Electronic Learning Media Applications stored on HP Android can be installed through the Play Store labeled "Idea Bank", where in it there will be several features namely problem portrait feature, Idea Change feature, Idea Design feature, theory change feature, Idea Succes feature, and some electronic program tools, including save menu, table data filling menu, upload documentation and others.The development method is Borg &amp; Gall development model (1996) using water fall flow at the development stage. Stages of development ranging from needs analysis, product planning, product development, trial / implementation (validation), revision and report creation.Product results in the form of Idea Bank Application in the form of problem portrait feature, Idea Change feature, Idea Design feature, theory change feature Idea Succes Feature. stored on HP Android and also application usage tutorial.Keywords: Application; Idea Bank; E-learning.
Representational correlates of hierarchical phrase structure in deep language models

While contextual representations from Transformer-based architectures have set a new standard for many NLP tasks, there is not yet a complete accounting of their inner workings. In particular, it is not entirely clear what aspects of sentence-level syntax are captured by these representations, nor how (if at all) they are built along the stacked layers of the network. In this paper, we aim to address such questions with a general class of input perturbation-based analyses of representations from Transformer networks pretrained on self-supervised objectives. Importing from computational and cognitive neuroscience the notion of representational invariance, we perform a series of probes designed to test the sensitivity of Transformer representations to several kinds of structure in sentences. Each probe involves swapping words in a sentence and comparing the representations from perturbed sentences against the original. We experiment with three different perturbations: (1) random permutations of n-grams of varying width, to test the scale at which a representation is sensitive to word position; (2) swapping of two spans which do or do not form a syntactic phrase, to test sensitivity to global phrase structure; and (3) swapping of two adjacent words which do or do not break apart a syntactic phrase, to test sensitivity to local phrase structure. We also connect our probe results to the Transformer architecture by relating the attention mechanism to syntactic distance between two words. Results from the three probes collectively suggest that Transformers build sensitivity to larger parts of the sentence along their layers, and that hierarchical phrase structure plays a role in this process. In particular, sensitivity to local phrase structure increases along deeper layers. Based on our analysis of attention, we show that this is at least partly explained by generally larger attention weights between syntactically distant words.
Characterizing Lookahead Dynamics of Smooth Games

As multi-agent systems proliferate in machine learning research, games have attracted much attention as a framework to understand optimization of multiple interacting objectives. However, a key challenge in game optimization is that, in general, there is no guarantee for usual gradient-based methods to converge to a local solution of the game. The latest work by Chavdarova et al. (2020) report that Lookahead optimizer (Zhang et al. (2019)) significantly improves the performance of Generative Adversarial Networks (GANs) and reduces the rotational force of bilinear games. While promising, their observations were purely empirical, and Lookahead optimization of smooth games still lacks theoretical understanding. In this paper, we fill this gap by theoretically characterizing Lookahead dynamics of smooth games. We provide an intuitive geometric explanation on how and when Lookahead can improve game dynamics in terms of stability and convergence. Furthermore, we present sufficient conditions under which Lookahead optimization of bilinear games provably stabilizes or accelerates convergence to a Nash equilibrium of the game. Finally, we show that Lookahead optimizer preserves locally asymptotically stable equilibria of base dynamics and can either stabilize or accelerate the local convergence to a given equilibrium with proper assumptions. We verify each of our theoretical predictions by conducting numerical experiments on two-player zero-sum (non-linear) games.
Inferring Principal Components in the Simplex with Multinomial Variational Autoencoders

Covariance estimation on high-dimensional data is a central challenge across multiple scientific disciplines. Sparse high-dimensional count data, frequently encountered in biological applications such as DNA sequencing and proteomics, are often well modeled using multinomial logistic normal models. In many cases, these datasets are also compositional, presented item-wise as fractions of a normalized total, due to measurement and instrument constraints. In compositional settings, three key factors limit the ability of these models to estimate covariance: (1) the computational complexity of inverting high-dimensional covariance matrices, (2) the non-exchangeability introduced from the summation constraint on multinomial parameters, and (3) the irreducibility of the component multinomial logistic normal distribution that necessitates the use of parameter augmentation, or similar techniques, during inference. We show that a variational autoencoder augmented with a fast isometric log-ratio (ILR) transform can address these issues and accurately estimate principal components from multinomially logistic normal distributed data. This model can be optimized on GPUs and modified to handle mini-batching, with the ability to scale across thousands of dimensions and thousands of samples.
Mutual Calibration between Explicit and Implicit Deep Generative Models

Deep generative models are generally categorized into explicit models and implicit models. The former defines an explicit density form that allows likelihood inference; while the latter targets a flexible transformation from random noise to generated samples. To take full advantages of both models, we propose Stein Bridging, a novel joint training framework that connects an explicit (unnormalized) density estimator and an implicit sample generator via Stein discrepancy. We show that the Stein bridge 1) induces novel mutual regularization via kernel Sobolev norm penalization and Moreau-Yosida regularization, and 2) stabilizes the training dynamics. Empirically, we demonstrate that Stein Bridging can facilitate the density estimator to accurately identify data modes and guide the sample generator to output more high-quality samples especially when the training samples are contaminated or limited.