Reviewerly/exHarmony huggingface dataset:
Pedagogical conditions of formation of research skills of primary school pupils in mathematics lessons by means of integrated learning

The article considers the problem of formation of research skills of primary school pupils in mathematics lessons by means of integrated learning. It is noted that the problem of formation of research skills of primary school pupils in mathematics lessons by means of integrated learning becomes especially relevant in the conditions of introduction of the competence approach in primary school. The formation of students’ general research skills is one of the indicators that indicates the formation of mathematical competence in general. It is substantiated that since competence is a quality of personality that is manifested in knowledge, skills, abilities, experience and values, it is expedient in the formation of mathematical competence in students are the means of integrated learning. Within the study, the means of integration means the content of educational tasks that integrate knowledge from different educational fields, as well as methods of activity that are common to different subjects. The pedagogical conditions for the formation of students’ research skills are revealed and the stages of the pedagogical experiment are highlighted, in which certain conditions were provided. The content of the experimental work took into account the cognitive needs of second-graders, which stimulated their activity; students learned to analyse, compare, highlight, apply acquired skills. Different types of integrated tasks that provided the formation of a set of research skills are indicated, and their examples are given. Group forms of cooperation provided an increase in children’s interest in learning mathematics and the level of formation of research skills of students, gaining experience of teamwork and the formation of the value of common cause. The materials can be used by teachers in the formation of research skills in second-graders by means of integrated learning, in particular, in lessons that integrate the content of mathematics, science and language and literature education.
Penerapan Model Pembelajaran POE (Predict-Observe-Explain) Berbasis Telegram untuk Meningkatkan Hasil Belajar dan Motivasi Belajar

The purpose of this article was to improve student learning outcomes and motivation by applying the POE (Predict-Observe-Explain) learning model use Telegram. It was conducted on the Annelida, Invertebrate Systematics. The research subjects were college students of Pendidikan Biologi, Universitas PGRI Ronggolawe (Unirow) Tuban. The research method was pre-experimental with one group pretest-posttest design. The research instruments were sheet of learning outcomes tests and motivation questionnaires. The research data were analyzed by using the N-Gain score. The results show that learning outcomes and motivation increase after the Telegram-based POE (Predict-Observe-Explain) learning model was applied. The average learning outcomes increase from 61.8 to 88.2 and the average N-Gain score was 0.71 or high category. The average motivation increase from 48.9 to 84.4 and the average N-Gain score was 0.86 or high category. Increasing motivation has positive effect on learning outcomes. Keywords : POE (Predict-Observe-Explain), Learning Model, Learning Outcomes
Peer Review : Implementation of Gabor Filter for Carassius Auratus’s Identification

Carassius Auratus, otherwise known as goldfish, is one of the most popular ornamental fish. Goldfish have many variations, such as differences in body shape, colors, size, and fins. Identifying goldfish manually is difficult to do. This is due to several species that have similar anatomy, so automatic fish identification is needed. This research aims to identify three species of goldfish, such as Fantail, Oranda, and Ranchu. Gabor filter was applied to extract the features of goldfish. Gabor filter consists of several steps, including parameter initialization, Gabor kernels, Gabor convolution, feature point. The parameters used were frequency, orientation, and kernel’s size. Gabor kernel was formed based on initialized parameters. The convolution process was produced by adding up the multiplication of 256x256 pixel goldfish’s images and Gabor kernels. The results of the convolution process were normalized to produce a feature vector matrix. A probability neural network was used to classify the goldfish. Probability Neural Network is a supervised network that finds its natural use in decision making and classification problems. This research used 216 of goldfish’s images. Seventy- two images were used for each species. The optimal parameters in this study were kernel size (5,5), frequency (3), orientation (5), and downsample (16,16), with accuracy up to 100%. Parameters of the frequency, orientation, kernel size, and downsample affect the level of accuracy. The greater the parameter value used, the more variations in feature vectors are obtained. Still, if too many variations of the feature vector cause redundancy data, it causes the classification process to be inefficient.
Exploring Online Goal Inference in Real World Environments

Author(s): Collins, Michael Gordon; Hough, Alexander; Lee, Michael; King, Jayde | Abstract: Machine learning offers techniques for predicting behavior, but has limited capability to use behavior, context, and domain knowledge to infer intentions and predict behavior trajectory (i.e., sequence of directed actions towards reaching goal) of humans in real time to assist in strategic planning. Some existing models of human goal inference (Zhi-Xuan, Mann, Silver, Tenenbaum, a Manshinghka, 2020) possess some of these capabilities, however, these models are typically evaluated in toy worlds, which limits our understanding of how these approaches would generalize to real-world domains. Here, we introduce a novel integration of Bayesian goal inference and a deep learning model used for joint estimation (OpenPose) to address this generalizability problem and evaluate how this integrated approach can infer the goals of humans in real-world environments. This exploration provides an opportunity to evaluate capabilities required for real-time goal inference in real world environments and can highlight benefits and limitations informing future research.
Reengineering for the Issuance and Verification of Preferential Certificates of Origin in SMEs

Korea’s economic territory is gradually expanding due to free trade agreements. In the case of SMEs, it is not easy to efficiently prepare to the increasing FTA compared to large enterprises. Accordingly, the government and related organizations have been providing various support for SMEs. However, there is still a 20% gap in FTA utilization compared to large companies. Therefore, this study intends to suggest a method for increasing the FTA utilization rate of SMEs. For the issuance and verification of certificates of origin for SMEs, the concept of re-engineering was introduced to find a solution. This solution is direct manpower support for SMEs. Compared to other support methods, manpower support can not only issue certificates of origin more efficiently, but also prepare for verification. Moreover, the effect will be greater than if the supported manpower is educated on the contents that origin specialist needs to know, such as changes in various systems and the results of case analysis on country of origin verification by agreement. Of course, such manpower will be able to utilize origin management experts who have obtained the certified of origin specialist. In Korea, there is a certification system called Origin Specialist to train origin management experts. Therefore, if manpower who has acquired these qualifications is deployed to SMEs, the utilization rate of FTAs by SMEs can be increased, and MEGA FTAs can be dealt with without difficulty in the future. In particular, due to such a manpower arrangement, it will be possible to provide high-quality jobs rather than part-time jobs and lower the unemployment rate.
Weighing Students Narrative Answers using NLP-RAKE Algorithm

The Examination portals that are deployed over several servers are used to conduct online Examination for various purposes among which some may include conducting a test for Entrance Examinations, or Olympiads at National and International level and while some portals are designed to conduct a test for placement purposes. But mostly existing portals are designed to conduct tests that contain multiple choice Questions. So, the aim of this project is to evaluate marks for Descriptive Answers.
Grounding Word Learning Across Situations

Author(s): Gabbard, Ryan; Lichtefeld, Jacob A; Beser, Deniz; Cecil, Joe; Marcus, Mitch; Payne, Sarah R B; Yang, Charles; Freedman, Marjorie | Abstract: Word learning models are typically evaluated as the problem of observing words together with sets of atomic objects and learn-ing an alignment between them. We use ADAM, a Python software platform for modeling grounded language acquisition, to evaluate a particular word learning model, Pursuit (Stevens, Gleitman, Trueswell, a Yang, 2017),under more realistic learning conditions (see e.g. Gleitman and Trueswell (2020) for review). In particular, we manipulate the degree of referential ambiguity and the salience of attentional cues available to the learner, and we present extensions to Pursuit which address the challenges of non-atomic meanings and exploiting attentional cues.
Research on Informatization Teaching Management System of Applied Undergraduate Colleges under the Background of “Double First Class”

As my country’s higher standards for higher education institutions, double first-class institutions can not only enable schools to use a more long-term development vision when cultivating talents, and help students achieve healthy growth through knowledge learning, but also through quality education. The implementation of viewpoints has cultivated talents who are more in line with the requirements of social development. Teaching management serves as the basis for coordinating the various tasks of the school, and at the same time, it can also create a good learning environment for students. Therefore, teachers need to explore the development path of informatization teaching management work in a targeted manner, in order to make the concept of double first-class development deeply rooted in the hearts of the people, and to ensure the long-term development of colleges and universities in the development requirements of the times. This article starts from multiple angles, discusses the main path of constructing an information-based teaching management system, hoping to provide some reference for other educators.
The Role of Traditional Knowledge in Indian Management Education

This paper investigates various roles that traditional knowledge can play in Indian managerial education. As it is shown in previous studies, Indian management schools in general and Indian MBA programs in particular lead Indian prospective entrepreneurs toward different sorts of entrepreneurial activities. Although new managerial education in post-cold-war India which mostly endorses entrepreneurship are not bounded to bureaucratic and industrial capitalism, Indian management education is still largely influenced by western and particularly American management schools’ structures and syllabuses. According to such scientific management, unlike modern knowledge which is highly entrenched in rational modes of production, traditional knowledge has been confined to pre-capitalist modes of production and distribution of commodities. Still, new movements for reintegration and revival of traditional knowledge in Indian managerial education pretend that India can largely benefit from its traditional treasures for economic boosts. Thus, the conjunction point of modern managerial education and Indian traditional knowledge remains in new types of leadership as well as genuine entrepreneurial skills which are raised and developed by some of Indian managerial scholars. These novel ideas implicate the need for what is called “spiritual leadership” as well as tradition-based projects in Indian entrepreneurship. As such, I will explain in this paper, the ways by which Indian traditional knowledge can intrigue Indian managerial education in numerous ways, both in elite and popular levels.
The bdpar Package: Big Data Pipelining Architecture for R

In the last years, big data has become a useful paradigm for taking advantage of multiple sources to find relevant knowledge in real domains (such as the design of personalized marketing campaigns or helping to palliate the effects of several fatal diseases).Big data programming tools and methods have evolved over time from a MapReduce to a pipeline-based archetype.Concretely the use of pipelining schemes has become the most reliable way of processing and analyzing large amounts of data.To this end, this work introduces bdpar, a new highly customizable pipeline-based framework (using the OOP paradigm provided by R6 package) able to execute multiple preprocessing tasks over heterogeneous data sources.Moreover, to increase the flexibility and performance, bdpar provides helpful features such as (i) the definition of a novel object-based pipe operator (%>|%), (ii) the ability to easily design and deploy new (and customized) input data parsers, tasks, and pipelines, (iii) only-once execution which avoids the execution of previously processed information (instances), guaranteeing that only new both input data and pipelines are executed, (iv) the capability to perform serial or parallel operations according to the user needs, (v) the inclusion of a debugging mechanism which allows users to check the status of each instance (and find possible errors) throughout the process.
E-LEARNING SEBAGAI MEDIA PEMBELAJARAN DI MASA PANDEMI: (Studi Kasus: SMP AL-INAYAH)

The world of education in Indonesia is experiencing a significant development. This development can be seen from the increasingly diverse learning methods used. The method used uses a lot of various media to improve the quality of learning outcomes. The development of various learning media is in line with the increasingly rapid technological advances. The dynamics of today's technology achieve tremendous acceleration.The technology that was learned several years ago has begun to be replaced with new technology, including various conventional ways of learning. The form of information technology development that can be used as a learning medium is to use e-learning.E-learning is an innovation that can be used in the learning process, not only in the delivery of learning material but also changes in the abilities of various competences of students.Through e-learning, students not only listen to material descriptions from educators but also actively observe, do, demonstrate, and so on. Teaching material can be virtualized in various formats so that it is more interesting and more dynamic so that it can motivate students to go further in the learning process. Keywords: Education, Technology, E-Learning, Learning Media
Distinctive Features of Emotion Concepts

Author(s): Kelly, Alexandra E.; Chrysikou, Evangelia G. | Abstract: Some theories of abstract word representation posit a role for affective information; however, little has been done to delineate how this holds for the class of emotion concepts relative to other types of abstract concepts. Work using distributional semantic models has shown that emotion words tend to co-occur with other highly affective words, complicating the picture of how affective information contributes to the grounding of abstract concepts generally and emotion concepts specifically. Here, a novel set of data from 180 participants collected using a feature generation paradigm with emotion, non-emotion-related abstract, and concrete stimuli is leveraged to test how the distributional properties of emotion concepts and their associated features differs from those of other abstract concepts. Using co-occurrence statistics and normative ratings for affect, results show the importance of affect differs between emotion and non-emotion-related abstract words.
Factors Affecting English Speaking Anxiety of Students Majoring in English, Faculty of Humanities, Mahamakut Buddhist University

This research aimed to study factors affecting speaking English anxieties and to study the level of speaking English anxieties of students studying in the Bachelor of Arts program in English, Bachelor of Arts (English). The population was 48 students studying in the Bachelor of Arts program in English, Bachelor of Arts (English). The instrument used for data collection was a three sectioned questionnaire. Data were analyzed for percentage, mean and standard deviation.The findings of the study indicate that:1. Factors affecting anxiety in the English conversation of students studying in the Bachelor of Arts program in English, Bachelor of Arts (English) indicate that students have anxieties if they do not pass English conversation courses is at a high level 2. Levels of anxiety in the English conversation of students is at a high level too.
Quantum computing, quantum innovation and entrepreneurial opportunities

Quantum computing and information processing use quantum phenomena such as quantum state superposition and entanglement to exponentially perform calculations with high-level accuracy. Progress towards the development of the large-scale quantum computer is becoming a reality and these events mean the 21st century could be called “The Quantum Age.” Innovation in quantum technologies is one of the hot topics and intricate challenges to the scientific and business community to cope with modern economic and entrepreneurship goals. To have a strong business market and entrepreneurship, we need to have a strong awareness of the latest technological aspects and developments, particularly quantum innovation which is one of the highest economic sinks in advanced countries. Although the largest economies of the world are devoting large amounts of government funds to develop quantum technologies, countries are competing to establish themselves as leaders in quantum innovation, but still, it’s very early to claim who will win the race. This paper is dedicated to outlining the entrepreneurship challenges and opportunities for the next quantum technology and innovation decades. Quantum devices have a very wide range of real-time applications e.g., defense, agriculture, interdisciplinary and fundamental research, health and medicines, artificial intelligence, geographical and geological implementation, space and upper atmosphere control and manipulation. The most noteworthy revolutions and discoveries of our time are gradually expected to be evident at Quantum levels. Numerous examples of varying Quantum technologies offer noteworthy results to present worldwide challenges in countless critical parts of the human endeavor and may also present outstanding prospects for active, courageous and scientifically knowledge entrepreneurs, innovators and investors.
A study on development plan for the maintenance and repair of defense cryptographic equipment

Despite the rapid development and changes in the IT environment due to the advent of the 4th industrial revolution, the military’s defense coded equipment maintenance system has been operating in the same system as the existing system without any improvement until now. As a result, various problems have arisen in the maintenance work of cryptographic equipment. In addition, due to the repeated development of the defense information system, it is now difficult to perform the maintenance work of cryptographic equipment without improving the maintenance system of cryptographic equipment. Therefore, in order to convert the defense coded equipment maintenance system into a maintenance system, this study uses a deductive method to prove the validity of the variable after selecting variables that affect the defense coded equipment maintenance system through interviews with a group of experts related to encryption equipment maintenance. Therefore, a plan was proposed to solve the defense code equipment maintenance work through an agency in charge of maintenance and secure the efficiency, expertise, and security of the encryption equipment maintenance work.
Sequential Core-Set Monte Carlo

Sequential Monte Carlo (SMC) is a general-purpose methodology for recursive Bayesian inference, and is widely used in state space modeling and probabilistic programming. Its resample-move variant reduces the variance of posterior estimates by interleaving Markov chain Monte Carlo (MCMC) steps for particle â€œrejuvenationâ€; but this requires accessing all past observations and leads to linearly growing memory size and quadratic computation cost. Under the assumption of exchangeability, we introduce sequential core-set Monte Carlo (SCMC), which achieves constant space and linear time by rejuvenating based on sparse, weighted subsets of past data. In contrast to earlier approaches, which uniformly subsample or throw away observations, SCMC uses a novel online version of a state-of-the-art Bayesian core-set algorithm to incrementally construct a nonparametric, data- and model-dependent variational representation of the unnormalized target density. Experiments demonstrate significantly reduced approximation errors at negligible additional cost.
The Use Of Flashcard In Teaching Vocabulary To The First Grade Students Of SD Muhammadiyah 16 Surakarta

This research is mainly concerned with the teaching method applied by theteacher at the first grade of SD Muhammadiyah 16 Surakarta in Academic Year2019/2020. This is conducted to describe the prosedure applied by the teacher inusing flashcard for teaching English, the advantages of flashcard for learningEnglish, and disadvantages of flashcard for learning English. This is a descriptive qualitative study. To collect the data the reseacher used observation, interview, and document analysis. While to analyze the data the researcher applied three main stages; namely data reduction, data display, and conclusion drawing as stated by Miles and Huberman. Triangulation technique was used in this research to validate the data. The findings of the research are as follows: 1) describing family members, 2) responding to instructions which is very simple regarding form, and 3) copying English writing which was very simple precisely. The advantages of flashcard for learning English are the teaching was more interesting; it can help to focus the students’ attention; flashcards can be used based on the theme of lesson; teacher can give variations in teaching learning process, making the students exciting. The media make them understand the English vocabulary easily, motivate students to be active in teaching learning process, make the students remember the words better; the pictures in flashcards can help the students avoid boredom and the students’ attention. Third point, flashcard give some contributions for the students competences and achievement.
A Model-Based Analysis of Changes in the Semantic Structure of Free Recall Due to Cognitive Impairment

Author(s): Westfall, Holly A; Lee, Michael | Abstract: Alzheimer’s disease leads to a decline in both episodic and semantic memory. Free recall tasks are commonly used in assessments designed to diagnose and monitor cognitive impairment, but tend to focus only on episodic memory. Our goal is to understand the influence of semantic memory on the sequence of free recall in a clinical data set. We develop a cognitive process model that incorporates the influence of semantic similarity and other stimulus properties on the order of free recall. The model also incorporates a decision process based on the Luce choice rule, allowing for different levels of response determinism. We apply the model to a real-world data set including free recall data from 2392 Alzheimer’s patients and their caregivers. We find that semantic similarity between items strongly influences the order of free recall, regardless of impairment. We also observe a trend for response determinism to decrease as impairment increases.