Reviewerly/exHarmony huggingface dataset:
PARENTS AND COMMUNITY INVOLVEMENT IN A PRIMARY SCHOOL IN MUAR, JOHOR, MALAYSIA

Parents and community involvement in the education sector is important to ensure the continuity of the success in education system. The government also plays a major role in delivering the best education system in the country. Nevertheless, with the support and encouragement from each parents and community, the education system can increase the education level in the country. This study identified a strong relationship between parents, community and school in helping the school to develop more in term of academic, co-curricular activities and facilities. An in-depth interview session was conducted among four parents in the school who were voluntarily to be involved in this study. They were chosen by a specific purposive sampling technique which the informants must be registered as one of the Parents Teacher Association (PTA) members in the school. The research analysis was conducted by using Atlas.Ti version 8.0. This is important to show the relation and linkages between each codes of the findings. The findings of this study shown that a strong relationship between parents, community and school members can create a good example to the pupils and create good communication interaction between the teachers and parents. The involvement of the community can also give a good impact to the pupils and school. It was encouraged by the parents too, for helping the school in conducting more meaningful and high impact program for the pupils. However, the study also revealed that there were few challenges arise during their involvement in the school programs conducted such as time, energy and involvement constraint. This study helps to guide other researchers and the authorities on the importance of parents and community involvement at schools.
Sister Help: Data Augmentation for Frame-Semantic Role Labeling

While FrameNet is widely regarded as a rich resource of semantics in natural language processing, a major criticism concerns its lack of coverage and the relative paucity of its labeled data compared to other commonly used lexical resources such as PropBank and VerbNet. This paper reports on a pilot study to address these gaps. We propose a data augmentation approach, which uses existing frame-specific annotation to automatically annotate other lexical units of the same frame which are unannotated. Our rule-based approach defines the notion of a **sister lexical unit** and generates frame-specific augmented data for training. We present experiments on frame-semantic role labeling which demonstrate the importance of this data augmentation: we obtain a large improvement to prior results on frame identification and argument identification for FrameNet, utilizing both full-text and lexicographic annotations under FrameNet. Our findings on data augmentation highlight the value of automatic resource creation for improved models in frame-semantic parsing.
Enseñanza: la comprensión para el aprendizaje mediante las inteligencias múltiples o habilidades del pensamiento

The care and protection of the environment is crucial for humanity to survive despite all the damage that has been caused, often irreversibly. This is given not only by the educational institution but it is the task of The purpose of education is to achieve the integral formation of the human being. For their part, multiple intelligences develop with the idea that there is no single way to learn. The objective of this work is to establish the theoretical bases of learning by understanding through the use of multiple intelligences or thinking skills, analyzing the importance of the acquisition of integrative competences in students of the elementary and middle sublevel. The documentary research was based on the investigation of scientific theories, differentiation between knowing and knowing. For the execution, a qualitative approach is used in its design in parallel, contrasting descriptive data of a bibliographic nature, which allow to establish the importance of learning to understand by applying the project-based methodology. The results of the analysis of the theoretical-methodological foundations suggest that understanding learning promotes the application of knowledge.
ANALISIS PENGGUNAAN TEKNIK RESIPROCAL TERHADAP KEMAMPUAN MENELAAH UNSUR TEKS PUISI OLEH SISWA KELAS VII SMP

In poetry there are three things that must be considered apart from the physical element and the inner element, amongothers (1) identifying the content, namely determining the content of the poem read, what the poet said when writing thepoem. (2) The use of language, which is the language used by poets in writing poetry. The language used in writing poetry isa concise language, but rich in meaning. (3) Words (connotations and denotations), i.e. connotations are meanings thatundergo changes in meaning while denotation is meaning that does not change. The meaning of denotation is also calledstraightforward meaning. The word does not have any meaning. The meaning is in accordance with the original concept, asit is. To find out the Resiprocal Analysis of students' ability to study the elements of poetry text building, use standard scores.Should pay more attention to the development of learning techniques used in schools, especially in learning to study theelements of poetry text building. Poetry has elements that build poetry texts that support the beauty of a poem. The elementsof this poem's building text consist of two parts, namely, the inner element and the physical element. The inner element isdivided into (a) the theme, (b) the tone, (c) the sense, (d) the mandate. While in the physical element is divided into (a)diction, (b) arimajian, (c) figurative language, (d) the word concret, (e) typography (facial layout), (f) rhythm (rhythm), (g)rhyme.
Archaeological 3D GIS

Archaeological 3D GIS provides archaeologists with a guide to explore and understand the unprecedented opportunities for collecting, visualising and analysing archaeological datasets in three dimensions.With platforms allowing archaeologists to link, query and analyse in a virtual, georeferenced space information collected by different specialists, the book highlights how it is possible to re-think aspects of theory and practice which relate to GIS. It explores which questions can be addressed in such a new environment and how they are going to impact the way we interpret the past. By using material from several international case studies such as Pompeii, Catalhoyuk, as well as prehistoric and protohistoric sites in Southern Scandinavia, this book discusses the use of the third dimension in support of archaeological practice.This book will be essential for researchers and scholars who focus on archaeology and spatial analysis, and is designed and structured to serve as a textbook for GIS and digital archaeology courses.
언어적 접근을 활용한 학생들의 시간개념 분석

This study analyzed students' time expressions by focusing on five types of time concepts. There was a difference in the linguistic resources expressing the concept of time in the writings of elementary and high school students. High school students used more diverse linguistic resources than elementary school students. The concept of time was also different in the type mainly used by elementary and high school students. Specifically, it is as follows. Elementary school students grasped time separately and mainly used general time expressions. On the other hand, high school students grasped time continuously and mainly used a rough concept of time. Moreover, historical terms including time appeared mainly in high school students. It is necessary to teach the continuity of time and special historical terms such as historical terms including time. The history language should be especially taught to elementary school students in various ways. It is an experience of turning everyday language into historical language
ELEMENTARY SCHOOL EDUCATION IN TRIPURA (2005 – 2015)

Free and compulsory education up to the age of 14 is a Constitutional commitment in India. Significant efforts have been made in our country to universalize elementary education. The current paper examines the status of elementary education with respect to quantitative and qualitative achievements. In this study the presented data were collected from different publication of Central Government and from the State Government department and agencies. The findings clearly show that there are significant growth noticed with respect to number of schools, number of students’ enrolment and employment of teachers at the elementary level of school education in the state of Tripura. Significant efforts have been made by the state government in the last twenty years to improve the condition and system of elementary education. It is also noticed that impressive progress has been made in every sphere of elementary education in the State.
Integration Of V2x Information For Manoeuvre Feasibility Check, And Decision Making In Trajectory Planning And Tracking Of Autonomous Mobile Robots

The research proposes two fundamental features of an automated overtaking scheme: path prediction and path monitoring. Unfortunately, because of the uncertainty in environment interpretation with the present technology of sensors, several suggested solutions are only useful for low-speed chasing. The use of V2X data is used to examine and evaluate path planning and path monitoring methodologies for automated overtaking devices of automated robotic systems in this research. For the creation of such a collision-free route for a mobile robot, the suggested Rapidly-exploring Randomized Tree (RRT) is employed. The suggested technique involves a viability evaluation of the movement and decision-making based on V2X data, which comprises (i) robotic dynamics and atmospheric restrictions, as well as (ii) a precise understanding of the surroundings and associated impediments. To account for variability in robot dynamics, operator conduct, and devoted short-range communications (DSRC) capabilities, 18,000 overtaking movements – with around 10,000 colliding actions – are modeled in this work. Before the movement starts, the approaching assistant forecasts if a crash will happen and informs the operator. The most of conflicts that cannot be identified are because of the robots being beyond of transmission area also for communication power levels employed in the simulations, according to a qualitative evaluation accompanied by a multivariable evaluation of predicted values.
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data

Most existing works in few-shot learning rely on meta-learning the network on a large base dataset which is typically from the same domain as the target dataset. We tackle the problem of cross-domain few-shot learning where there is a large shift between the base and target domain. The problem of cross-domain few-shot recognition with unlabeled target data is largely unaddressed in the literature. STARTUP was the first method that tackles this problem using self-training. However, it uses a fixed teacher pretrained on a labeled base dataset to create soft labels for the unlabeled target samples. As the base dataset and unlabeled dataset are from different domains, projecting the target images in the class-domain of the base dataset with a fixed pretrained model might be sub-optimal. We propose a simple dynamic distillation-based approach to facilitate unlabeled images from the novel/base dataset. We impose consistency regularization by calculating predictions from the weakly-augmented versions of the unlabeled images from a teacher network and matching it with the strongly augmented versions of the same images from a student network. The parameters of the teacher network are updated as exponential moving average of the parameters of the student network. We show that the proposed network learns representation that can be easily adapted to the target domain even though it has not been trained with target-specific classes during the pretraining phase. Our model outperforms the current state-of-the art method by 4.4% for 1-shot and 3.6% for 5-shot classification in the BSCD-FSL benchmark, and also shows competitive performance on traditional in-domain few-shot learning task. Our code will be available at: this https URL.
NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases.

Codifying commonsense knowledge in machines is a longstanding goal of artificial intelligence. Recently, much progress toward this goal has been made with automatic knowledge base (KB) construction techniques. However, such techniques focus primarily on the acquisition of positive (true) KB statements, even though negative (false) statements are often also important for discriminative reasoning over commonsense KBs. As a first step toward the latter, this paper proposes NegatER, a framework that ranks potential negatives in commonsense KBs using a contextual language model (LM). Importantly, as most KBs do not contain negatives, NegatER relies only on the positive knowledge in the LM and does not require ground-truth negative examples. Experiments demonstrate that, compared to multiple contrastive data augmentation approaches, NegatER yields negatives that are more grammatical, coherent, and informative—leading to statistically significant accuracy improvements in a challenging KB completion task and confirming that the positive knowledge in LMs can be “re-purposed” to generate negative knowledge.
Role and Attribute Based Feature Centric Lattice Double Seeded Key Padding Security in Cloud Environment

The cloud security is an important for protecting sensitive data in centralized distributed environment.Moreover information is sensitive by accessing various levels of the user by defining the role. The major problem is role based access control is unstructured feature access control. So security breaches leads data losses because of unauthorized access due to key leakages.To resolve this problem, we propose a Feature centric lattice behavioral based attribute based encryption in double standard key padding security in centralized cloud environment.(FCLB-ABE).This proposed system analysis the role of user and its behavior factor by estimating Lattice access control-generative log (LAC-GEN). Based on the accessing weight the Role definition padding key (RDPK)was generated depending on the sensitive data who are the authenticated user to provide to verify the role based on Authenticity Auditable Role (AAR). This verifies the behavioral log access attempts of the user beyond access limit to provide the permission to access the data. This provides double seed data key policy-attribute based encryption to secure the sensitive data in EHR- personalized security. This improves the security depending on the behavioral and role based access control in double standard encryption. The result proves the high security performance improvement compared to the previous system.
INTERACTIVE TECHNOLOGIES OF TRAINING TEACHERS FOR ORGANIZING LEISURE ACTIVITY

Features of preparation of future teachers for carrying out of interactive training technologies in the course of the organization of leisure activity in the conditions of rest in summer camps are examined. It is noted that various forms of leisure activities in the summer camp can support the emotional health of children, overcome their own shortcomings, form the will and character. Advice and methods for conducting the case method are given: selection of material (material should be selected in such a way as to reflect the problems that participants may face in real life); the availability of alternatives (the situation around which the discussion takes place should have been sufficiently diverse and have several solutions). The advantages of the case method are described: realism (the use of this method significantly complemented the theoretical aspects of the problem); pressure reduction (case method gave a unique opportunity to study complex or emotionally significant issues in a safe training atmosphere, not in real life, with real threats and risks in case of making the wrong decision); active interaction (communicative nature of the method provided an opportunity to provide a quick but very important assessment of the issues under discussion and the proposed solution). It is proved that interactive pedagogical technology in the process of organizing leisure activities of a person (as a set of a series of consecutive actions aimed at achieving a result) was based on the principles of voluntariness, positivity, responsibility, partnership.
Planting Healthy Lifestyles Through Literature Learning as an Effort to Prevent the Covid-19 Outbreak in the Adaptation Period of New Habits

The essence of learning literature in schools is as a vehicle for inculcating values ​​and refining the attitudes and minds of students as members of society. The formation of individual character and attitudes can be instilled in the community through the teaching of literature in the education sector. Thus the teaching of literature in schools must be delivered with contextual content and fun methods. This service is carried out with the aim of providing an understanding for SMP and MTS teachers in order to understand contextual and fun literary lessons so that they can be used to overcome problems that occur in the community. The problem that is currently being faced by the world community is preventing the spread of the Covid-19 outbreak. This service is expected to help the government in instilling healthy living behaviors for the community through literature learning in schools. The results of this dedication show that teachers can easily develop literary teaching materials in the form of poetry texts, anecdotal texts and short stories, which are charged with inculcating healthy living behaviors for students. The benefit of this research is the composition of teaching materials that are contextual and in accordance with the demands of the curriculum and are useful for social life in society.
ENHANCING STUDENTS’ VOCABULARY BY USING TEACH VOCABULARY WORDS BEFORE A NEW ACTIVITY STRATEGY AT SMPN 1 BANGKO KABUPATEN MERANGIN

This study reveals about the improvement of the students in learning vocabulary by using teach vocabulary words before a new activity strategy. The method of this research was classroom action research. The participants of the research were the students at the seventh grade of SMPN 1  Bangko Kabupaten  Merangin Provinsi Jambi. The instruments of this research were observation sheet, task and recording. The finding of the research found that the students could enhance their vocabulary and they felt enthusiast in learning it.
THE ONLINE ENGLISH TEACHING DURING THE PANDEMIC TIME AT JUNIOR HIGH SCHOOLS IN PEKALONGAN

Abstract : In 2020 many schools in Indonesia were required to do online teaching practices to prevent the spread of covid-19. Schools in Pekalongan City were the examples. Teachers and students suddenly had to adapt to online classes. As online classes were quite new for the teachers in Pekalongan, the writers were interested in revealing teachers’ actual perceptions and implementation of online classes through a quantitative study. Employing an online questionnaire, this study involved 30 English teachers from 22 junior high schools. The study found out that most teachers perceived their online classes as quite effective. However one third of them reported online classes as less effective. All teachers also reported problems in their online classes. This suggests online teaching practiced by English teachers in Pekalongan varied in effectiveness. Each teacher also encountered problems in managing online classes and this suggests an urgent need to help teachers to minimize those problems. Keywords:  online teaching, English, pandemic time
Rational complexity of binary sequences, F$\mathbb {Q}$SRs, and pseudo-ultrametric continued fractions in $\mathbb {R}$

Abstract We introduce rational complexity , a new complexity measure for binary sequences. The sequence s ∈ B ω is considered as binary expansion of a real fraction $s \equiv {\sum }_{k\in \mathbb {N}}s_{k}2^{-k}\in [0,1] \subset \mathbb {R}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>s</mml:mi> <mml:mo>≡</mml:mo> <mml:msub> <mml:mrow> <mml:mo>∑</mml:mo> </mml:mrow> <mml:mrow> <mml:mi>k</mml:mi> <mml:mo>∈</mml:mo> <mml:mi>ℕ</mml:mi> </mml:mrow> </mml:msub> <mml:msub> <mml:mrow> <mml:mi>s</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> </mml:msub> <mml:msup> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> <mml:mrow> <mml:mo>−</mml:mo> <mml:mi>k</mml:mi> </mml:mrow> </mml:msup> <mml:mo>∈</mml:mo> <mml:mo>[</mml:mo> <mml:mn>0</mml:mn> <mml:mo>,</mml:mo> <mml:mn>1</mml:mn> <mml:mo>]</mml:mo> <mml:mo>⊂</mml:mo> <mml:mi>ℝ</mml:mi> </mml:math> . We compute its continued fraction expansion (CFE) by the Binary CFE Algorithm , a bitwise approximation of s by binary search in the encoding space of partial denominators, obtaining rational approximations r of s with r → s . We introduce Feedback in $\mathbb {Q}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℚ</mml:mi> </mml:math> Shift Registers (F $\mathbb {Q}$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ℚ</mml:mi> </mml:math> SRs) as the analogue of Linear Feedback Shift Registers (LFSRs) for the linear complexity L, and Feedback with Carry Shift Registers (FCSRs) for the 2-adic complexity A. We show that there is a substantial subset of prefixes with “typical” linear and 2-adic complexities, around n /2, but low rational complexity. Thus the three complexities sort out different sequences as non-random.
FANATIC: FAst Noise-Aware TopIc Clustering

Extracting salient topics from a collection of documents can be a challenging task when a) the amount of data is large, b) the number of topics is not known a priori, and/or c) “topic noise” is present. We define “topic noise” as the collection of documents that are irrelevant to any coherent topic and should be filtered out. By design, most clustering algorithms (e.g. k-means, hierarchical clustering) assign all input documents to one of the available clusters, guaranteeing any topic noise to propagate into the result. To address these challenges, we present a novel algorithm, FANATIC, that efficiently distinguishes documents from genuine topics and those that are topic noise. We also introduce a new Reddit dataset to showcase FANATIC as it contains short, noisy data that is difficult to cluster using most clustering algorithms. We find that FANATIC clusters 500k Reddit titles (of which 20% are topic noise) in 2 minutes and achieves an AMI score of 0.59, in contrast with hdbscan (McInnes et al., 2017), a popular algorithm suited for this type of task, which requires over 7 hours and achieves an AMI of 0.03. Finally, we test FANATIC against a Twitter dataset and find again that it outperforms the other algorithms with an AMI score of 0.60. We make our code and data publicly available.
O Whatsapp como ferramenta de ensino aprendizagem da Língua Brasileira de Sinais – Libras

O Whatsapp como ferramenta de ensino aprendizagem da Língua Brasileira de sinais -LibrasThe use of the WhatsApp Application as a tool for learning and diffusion of the Brazilian language of signals-libras