Reviewerly/exHarmony huggingface dataset:
Pengaruh Sarana Prasarana Terhadap Pembelajaran Anak di TK Aisyiyah Se-Kecamatan Colomadu Tahun Ajaran 2018/2019

This research aims to know the influence of facilities on children’s learning in Aisyiyah Kindergarten, Colomadu sub-district. The research design is quantitative descrptive. The population in this research were 51 teachers from 11 Aisyiyah kindergarten, Colomadu sub-district. A sample of 34 teachers consisting of 10 PNS teachers and 24 WB teachers, taken by using proportional random sampling. The facilities data and children’s learning obtained through questionnaires given to teachers. Data were analyzed using correlations and simple regression analysis. Based on the result of t test analysis calculations obtained t count = 13,217 > t table = 2, 036, so that H0 is rejected and Ha is accepted. Then a decision can be made that there is an influence of facilities on children’s learning ini Aisyiysh Kindergarten, Colomadu sub-district academic year 2018/2019.
LibGuides: Licensing Agreements for Electronic Materials in Libraries: Books and eBooks

This LibGuide provides an overview of the many issues surrounding licensing agreements in public and academic libraries, both from a Canadian perspective and from other jurisdictions.
the effectiveness of using student team achievement division strategy in enhancing students' reading comprehension of the tenth grade at sma n 1 suruh in the academic year of 2019/2020

ABSTRACTBudi Suryono, 2020. The Effectiveness of Using Student Team Achievement Division Technique in Enhancing Students’ Reading Comprehension of the Tenth Grade at SMA N 1 Suruh in the Academic Year of 2019/2020 A Graduating Paper, English Education Department, Teacher Training and Education Faculty, State Institute for Islamic Studies (IAIN) Salatiga. Counsellor: Dr. Setia Rini, M.Pd.The objectives of the study were: To find out students’ reading comprehension before and after being taught using STAD and To know whether there is any significant improvement of students’ reading comprehension recount text after taught by using STAD of tenth grade students at SMA N 1 Suruh in the academic year 2019/2020The methodology of research was quantitative research especially a quasiexperimental research. The subject of the research were two class groups in the tenth grade of SMA N 1 Suruh, The sampling technique is choosen by using purposive sampling. Two classes as experimental class and control class, in which each class consisting of 32 students as the sample.The technique of collecting data were pre-test and post-test to find out the students’ reading comprehension, observation, and documentation. The researcher used SPSS 16.00 for analysing the test.The result of the research showed that (1) The result from calculation showed that the mean of pre-test for experimental class was 58.59, Meanwhile, the calculation showed for control class. The mean of pre-test was 58.28. (2) The students’ reading comprehension after being taught using STAD also analyzed by SPSS Version 16.00. The mean of post-test was 80.94. the different between pretest and post-test mean was 22.34 and the mean score of control class was 77.81 (3) the result of hypothesis test by Mann-Whitney, p-value (Asymp. 2 tailed) = 0.012, p<?(0.05). Those the hypothesis was accpeted. Moreover, the result of effect size formulation in this study was 1.10. It can be conclude that there was a sigificant effectiveness STAD System on students’ reading comprehension at the eleventh grade students of SMA N 1 Suruh in the academic year of 2019/2020. Key Words: STAD System, Reading comprehension
PENGEMBANGAN BUKU BELAJAR EJAAN BAHASA INDONESIA UNTUK SISWA SEKOLAH DASAR

This study aimed to develop a feasible Indonesian spelling textbook for elementary school students. This book is a kind of material and practice books. This research utilized Research and Development (R&amp;D), and adopted Four-D development model consisting of four stages: (1) define, (2) design, (3) develop, and (4) disseminate. Due to the Covid-19 pandemic, the stages were simplified and terminated before the disseminate stage. The subjects of the readability test were 5 grade II teachers, and 5 grade II students at SDN Bendo 1 Blitar City. The data were collected through questionnaires, interviews, and documentation. The data were then analyzed by applying descriptive quantitative and qualitative method. The results revealed that the book was classified into feasible category. The book obtanined a percentage of 84.55% from the experts of materials and Bahasa Indonesian, and 83.75% from the experts of book design. Then, the result of readability test conducted to students obtained the percentage of 100% (very feasible). Then, the result of interviews conducted to students resulted in a positive response towards the textbook. Furthermore, the result of readability test conducted to teachers obtained the percentage of 100% (very feasible). Based on the interviews with the teachers, it was revealed that the book facilitated teachers in the writing process using correct Indonesian spelling.
Traffic analytics with online web data

Social media and other online websites have rich traffic information. How to extract and mine useful traffic information from online web data to address transportation problems has become a valuable and interesting research topic in current data-explosive era. In this chapter, we introduce a traffic analytic system with online web data. The proposed system can collect online data, use machine learning and natural language processing methods to extract traffic events, analyze traffic sentiment, and reason traffic scenarios. We also present some results based on the proposed system and techniques in practice.
Model-based clustering of partial records.

Partially recorded data are frequently encountered in many applications and usually clustered by first removing incomplete cases or features with missing values, or by imputing missing values, followed by application of a clustering algorithm to the resulting altered dataset. Here, we develop clustering methodology through a model-based approach using the marginal density for the observed values, assuming a finite mixture model of multivariate $t$ distributions. We compare our approximate algorithm to the corresponding full expectation-maximization (EM) approach that considers the missing values in the incomplete data set and makes a missing at random (MAR) assumption, as well as case deletion and imputation methods. Since only the observed values are utilized, our approach is computationally more efficient than imputation or full EM. Simulation studies demonstrate that our approach has favorable recovery of the true cluster partition compared to case deletion and imputation under various missingness mechanisms, and is at least competitive with the full EM approach, even when MAR assumptions are violated. Our methodology is demonstrated on a problem of clustering gamma-ray bursts and is implemented at this https URL.
Covid-19 and repercussions in mental health: a narrative review of literature/ Covid-19 y las repercusiones en la salud mental: estudio de revisión narrativa de literatura/ Covid-19 e as repercussões na saúde mental: estudo de revisão narrativa de literatura

ABSTRACT Objective: To identify the repercussions on mental health of groups and populations in the context of the new coronavirus pandemic. Method: Narrative review carired out in three databases, in March 2020, using the descriptors mental health and coronavirus. A total of 19 publications were analyzed, organized in a synoptic chart, containing type of publication, authors, country, sample, objective, and main results. From this analysis, two thematic axes emerged: identification of problems and vulnerable groups in mental health; and mental health interventions and actions. Results: The first axis showed manifestations of suffering - anguish, insomnia, anger, stress, fear. The second revealed the need to build government policies and general guidelines; production of information and communication; and mental health care practices. Conclusions: The repercussions on mental health in the population intensified with the pandemic, identifying vulnerable groups, and the need to build coping strategies and policies aimed at mental health during epidemics.
LibGuides: STRT 1000: Financial Literacy

A research guide for STRT, designed to be delivered during a synchronous Zoom instruction session with a librarian
Research Guides: Know Your Rights: Free Speech on Campus

Understanding Free Speech Reading lists, blogs, and websites recommended by outside organizations
Impacto de la Capacitación del Programa de Formación de Académicos en la Facultad de Mecánica y Eléctrica de la Universidad Veracruzana, Zona Poza Rica Tuxpan

The Universidad Veracruzana, through its academic training program (PROFA), provides training courses and / or disciplinary and pedagogical updates to academic staff at the Faculty of Mechanical and Electrical Engineering of the Poza Rica-Tuxpan area, which counts with 38 teachers, to whom, every semester period, they are offered and implemented training courses. This article aims to demonstrate how relevant and sufficient these courses have been, from the academic perspective. To do this, quantitative field research was carried out through surveys applied to 20 teachers equivalent to 52.6% of the population. Of this sample, 50% think teachers training is more focused on pedagogical than disciplinary courses. 65% of the teachers surveyed mention that the training has met their expectations and the 95% that has had a positive impact on their teaching practice. It is concluded that the areas to be reinforced are the management of software and TIC, sustainable development, administrative scope and disciplinary area, which defines a precise panorama on the next courses to be offered.
A Lucrative Model for Identifying Potential Adverse Effects from Biomedical Texts by Augmenting BERT and ELMo

This study copes with extracting adverse effects (AEs) from biomedical texts. An adverse effect is a noxious, unintended, and undesired effect caused by the administration of an external entity such as medication, dietary supplement, radiotherapy, and others. A binary classifier is proposed to filter out irrelevant texts from AE assertive texts and a sequence labeling model for extracting the AE mentions. Both models are built by consolidating the cutting-edge deep learning technologies: Bidirectional Encoder Representations from Transformers (BERT), Embeddings from Language Models (ELMo), and Bidirectional Gated Recurrent Units. The performances of our models are evaluated on an Adverse Drug Effects dataset constructed by sampling from Medline case studies. Both models perform significantly better than previously published models with an F1 score of 0.906 for binary classification and an approximate match F1 score of 0.925 for text labeling. The proposed models can be adapted to any tasks with similar interests.
PERENCANAAN ULANG SISTEM DRAINASE PERKOTAAN DI JALAN BOROBUDUR – JALAN CANDI TELAGA WANGI KOTA MALANG

With the increase in population and development activities, there will be a major impact on surface runoff which causes reduced rainwater catchment areas, particularly on Jl. Borobudur - Jl. Telaga Wangi Temple, Malang City. The purpose of this plan is to calculate the existing discharge capacity, calculate the design flood discharge, and evaluate the dimensions of the drainage channel. To evaluate the urban drainage system on Jl. Borobudur - Jl. Telaga Wangi Temple Malang City data required rainfall data from 3 closest stations, namely Dinoyo, Blimbing and Karangploso for the last 10 years, namely in 2009 - 2018, data on salura dimensions and population data. To calculate the rainfall using the algebraic average method, then to determine the type of distribution using the Pearson log type III method with a 10 year reset and then calculating the design flood discharge using the mononobe method and channel water discharge using the rational method. From the calculation results, the design rainfall is 82,794 mm / day; the largest channel dimensions are 1.1 m wide and 1.1 m high.
Archtop Guitar Dynamics

This study is a modal analysis tracing acoustic changes along each step of the build process of an archtop guitar. The eigenmodes and corresponding eigenfrequencies were theoretically modeled and experimentally measured for the archtop guitar through finite element analysis, frequency sweep analysis and Chladni figure analysis. The archtop shares acoustic behaviors with instruments in both the violin and guitar families, resulting in its own acoustic signature.
PELATIHAN IMPLEMENTASI WEBSITE E-LEARNING SMARTCLASS BERBASIS MOODLE BAGI DOSEN STKIP YPM BANGKO

STKIP YPM Bangko is a private tertiary institution in Merangin Regency and under Kopertis X Padang region. Has six study programs namely Mathematics Education, Economic Education, Indonesian Language and Literature Education, English Education and Non-School Education. This PKM activity collaborates with mathematics education and economic education study programs. The obstacles faced by STKIP YPM Bangko in lectures are lectures that still use conventional methods, the learning media used are still limited to simple media and the competence of lecturers on ICT-based learning media is still low. With these problems, the implementation team provides a solution that is the creation and development of e-learning websites then conduct training and simultaneously implement e-learning in lectures continuously. The targeted outputs are e-learning website products, a scientific article published through an ISSN journal and publication in the online mass media. There are two stages in PKM activities namely the first is the creation and development of e-learning websites which consists of analyzing system requirements, making prototypes, making websites online, buying domains and hosting rentals, limited trials and evaluating and finalizing e-learning websites. The second is e-learning implementation training which consists of preparing guidelines, discussing the format of training, conducting training and conducting mentoring. By creating and developing e-learning websites and at the same time implementing training in lectures is expected to be able to improve the qualifications of lecturers on ICT-based learning so as to increase student academic achievement and study program accreditation.
Πλατφόρμα παροχής εξατομικευμένου περιεχομένου πλοήγησης και πληροφοριών με αναγνώριση θέσης και επίγνωση κατάστασης

In this degree-thesis, different platforms able to be used in order to provide personalized information and navigation through location and context awareness were studied. Such platforms could be simple software applications or video games. Specifically, the research evolved around location-based games utilizing location awareness to track the user’s location. Such applications (πλαίσια λογισμικού), θέματαor games), usually feature context awareness instead of simple location awareness and are an easy and fun way ofguiding someone though geographical locations. Particular attention was given to the specifications of such applications and comparisons were made about different implementations. Additionally, for the needs of the degree thesis, research was made about current technologies and platforms which have potential of supporting the needs of developing such applications, like databases, frameworks, software security issues and back-end development.
Learning with Comparison Feedback: Online Estimation of Sample Statistics.

We study an online version of the noisy binary search problem where feedback is generated by a non-stochastic adversary rather than perturbed by random noise. We reframe this as maintaining an accurate estimate for the median of an adversarial sequence of integers, $x_1, x_2, \dots$, in a model where each number $x_t$ can only be accessed through a single threshold query of the form ${1(x_t \leq q_t)}$. In this online comparison feedback model, we explore estimation of general sample statistics, providing robust algorithms for median, CDF, and mean estimation with nearly matching lower bounds. We conclude with several high-dimensional generalizations.
Few-Shot Image Synthesis using Noise-Based Deep Conditional Generative Adversarial Nets

In recent years research on automatic font generation with machine learning mainly focus on using transformation-based methods, in comparison, generative model-based methods of font generation have received less attention. Transformation-based methods learn a mapping of the transformations from an existing input to a target. This makes them ambiguous because in some cases a single input reference may correspond to multiple possible outputs. In this work, we focus on font generation using the generative model-based methods which learn the buildup of the characters from noise-to-image. We propose a novel way to train a conditional generative deep neural model so that we can achieve font style control on the generated font images. Our research demonstrates how to generate new font images conditioned on both character class labels and character style labels when using the generative model-based methods. We achieve this by introducing a modified generator network which is given inputs noise, character class, and style, which help us to calculate losses separately for the character class labels and character style labels. We show that adding the character style vector on top of the character class vector separately gives the model rich information about the font and enables us to explicitly specify not only the character class but also the character style that we want the model to generate.
G-codes, self-dual G-codes and reversible G-codes over the ring ${\mathscr{B}}_{j,k}$

Abstract In this work, we study a new family of rings, ${\mathscr{B}}_{j,k}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>B</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>j</mml:mi> <mml:mo>,</mml:mo> <mml:mi>k</mml:mi> </mml:mrow> </mml:msub> </mml:math> , whose base field is the finite field ${\mathbb {F}}_{p^{r}}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>F</mml:mi> </mml:mrow> <mml:mrow> <mml:msup> <mml:mrow> <mml:mi>p</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>r</mml:mi> </mml:mrow> </mml:msup> </mml:mrow> </mml:msub> </mml:math> . We study the structure of this family of rings and show that each member of the family is a commutative Frobenius ring. We define a Gray map for the new family of rings, study G -codes, self-dual G -codes, and reversible G -codes over this family. In particular, we show that the projection of a G -code over ${\mathscr{B}}_{j,k}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>B</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>j</mml:mi> <mml:mo>,</mml:mo> <mml:mi>k</mml:mi> </mml:mrow> </mml:msub> </mml:math> to a code over ${\mathscr{B}}_{l,m}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mrow> <mml:mi>B</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>l</mml:mi> <mml:mo>,</mml:mo> <mml:mi>m</mml:mi> </mml:mrow> </mml:msub> </mml:math> is also a G -code and the image under the Gray map of a self-dual G -code is also a self-dual G -code when the characteristic of the base field is 2. Moreover, we show that the image of a reversible G -code under the Gray map is also a reversible $G^{2^{j+k}}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>G</mml:mi> </mml:mrow> <mml:mrow> <mml:msup> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> <mml:mrow> <mml:mi>j</mml:mi> <mml:mo>+</mml:mo> <mml:mi>k</mml:mi> </mml:mrow> </mml:msup> </mml:mrow> </mml:msup> </mml:math> -code. The Gray images of these codes are shown to have a rich automorphism group which arises from the algebraic structure of the rings and the groups. Finally, we show that quasi- G codes, which are the images of G -codes under the Gray map, are also G s -codes for some s .
Hearing, Sight and a Host of Other Senses

This paper follows up on my continuing research on a compositional method based on the interpretation of information received through all senses as gestural and textural activity in the aural domain; it attempts to map our experiences from a number of sensory systems to the aural space.The paper starts from the method I followed when creating my latest composition, as a case study for this approach, where I employed multisensory walks to gather gestural and textural information. Gesture implies a motion, a temporal structure, whereas texture implies a consistency, the feel and appearance of something. The construction of the piece involved mapping sensory experiences on a relative timeline on separate soundmaps, smellmaps, touchmaps, tastemaps and sightmaps. Composite layers of that information were combined with recognisable sounds from the environmental recordings I made during the walks, to form musically meaningful structures.This system of interpreting information explores interrelationships between music, time perception, memory and the listening environment, as it is based on a number of multisensory walks with senses acting on different timescales. This process allows us to use creatively information that we receive from other senses, often neglected when thinking about sound.
GAMIFICACIÓN EN AULAS BILINGÜES DE SECUNDARIA: UNA EXPERIENCIA EDUCATIVA pp. 1-16

This paper shows an action research addressed to improve areas of need among Spanish Compulsory Secondary Education (ESO) students using gamification. The main objective is to analyse the impact of gamification and determine its effectiveness from a double perspective: (i) as a facilitator of learning and (ii) as a generator of positive attitudes in the class. The project has been implemented in two groups of first-year ESO students in the subject of Social Sciences taught in English, under the CLIL methodology (Content and Language Integrated Learning). These students showed difficulties in learning historical dates in English and communicating effectively due to lack of fluency and confidence in the target language. Once identified the problem, a series of gamified sessions were designed to test the effectiveness of this technique in students’ learning, confidence and motivation, and in the development of students’ social skills and teamwork. The obtained results, based on (i) the performance of a reading fluency test, (ii) a survey distributed to the students and (iii) the teacher's observation, indicate that the application of gamification improves the learning of contents and increases students’ interest and involvement in classroom tasks.
Subject Guides: CRJ 468/568: Criminology: Browse Journals

Research Guide for the CRJ 468/568: Criminology course Use Browzine app to find journals in your area