Reviewerly/exHarmony huggingface dataset:
DECLARATIVE-TEMPORAL APPROACH TO THE CONSTRUCTION OF EXPLANATIONS IN INTELLIGENT INFORMATION SYSTEMS

The subject of the research is the processes of constructing explanations for the solutions proposed by the intelligent information system. The explanation provides in an orderly manner knowledge about the solution of the intelligent system, taking into account the context of its construction. The aim is to develop an approach to constructing a description of knowledge to provide an explanation that provides the ability to interpret intelligent system solutions online, using the most relevant dependencies on the state of the subject area and user needs. To achieve this goal, the following tasks are solved: setting a generalized problem of forming an explanation and principles for its solution; definition of principles of construction of the description of knowledge for explanation; developing an approach to constructing an explanation based on the integration of a declarative description of the subject area and a temporal description of the decision-making process. A generalized formulation of the problem of forming an explanation in the form of finding an interpretation model is proposed, which makes it possible to minimize the inaccuracy of the description of the decision-making process regarding the model of the intelligent system functioning process in the conditions of explanation complexity. The principles of solving the problem of constructing an explanation are formulated, which provide for the consistent formulation of a declarative description of the subject area in the form of an appropriate ontology, as well as a description of the decision-making process in the intellectual system based on temporal rules. A declarative-temporal approach to constructing an explanation in an intelligent information system is proposed. According to this approach, the tasks of detailing the goals of the explanation within the defined concept are consistently solved on the basis of the ontology of the subject area, the explanation is formed taking into account the structure of the intelligent system and the interaction of its components, personalization of the explanation according to user preferences. This approach makes it possible to update the interpretation, which creates the conditions for building explanations online.
A Survey On: Classification of Twitter data Using Sentiment Analysis

Sentiment means classify the opinions which are in the form of text .As we are classifying the text it must having different unstructured contains with information of particular subject. There are various social media sites which gives us information with their thoughts but twitter is biggest among them where any one who having account on twitter can tweet their opinions of any subject in any certain or uncertain way. Hence we get extra scope in mining of such data. The analysis is done with the help of machine learning algorithms on the dataset. Classification is done by the classifier algorithms. The reviews data is used for performing sentimental analysis. This paper gives idea about how the analysis is done on twitter data by using various algorithms and machine learning concepts. It is a survey of different papers for analyzing the sentiments of text.
PERAN GURU DALAM PROSES PEMBELAJARAN JARAK JAUH

This study aims to determine the role of teachers in the distance learning process. The research method uses library research methods. This discussion is based on expert opinions and the results of previous research on distance learning. The role of the teacher in learning will not be replaced. Technology can improve learning outcomes, but someone still has to keep an eye on the messages in learning. Teachers who can select what is missing and wrong in the process of delivering information. In addition, teachers who know the needs of students by using their approach to solving problems in learning and are able to design learning designs that are in accordance with the problems at hand.
A Novel Hybrid PCA-CNN Based CBIR Model for Medical Image Analysis

The rapid development of image processing in medical field is increased due to information technology and its impact over data analysis. Retrieval of medical images increased the importance in medical applications due to its challenging and unique characteristics of images. Content based image retrieval is one of the familiar options in medical image retrieval due to its popularity in effective image retrieval technique. CBIR uses a set of features to locate, retrieve and display the images are alike to the given query image. with advanced feature processing, it accesses the data in medical archives and medical equipment to infer the necessary output. Evidence based diagnosis, text-based retrieval are some of the advantages of CBIR, which could be applicable in various fields like data administration, healthcare. This research work proposed a hybrid CBIR model to improve the retrieval performance, retrieval accuracy of the medical image retrieval process through principal component analysis and convolutional neural network.
Curriculum Development Model for Cross-Cultural Corporate Identity Course in Graphic Design Programme

This study aims to develop a curriculum development model for cross-cultural corporate identity course for Graphic Design programme in higher education institution. The cross-cultural component in this study is based on local cultural contexts from ethnic groups in Peninsular Malaysian, Sabah and Sarawak. At present, the study on curriculum development which includes cross culture in the teaching of graphic design in the local contexts is lacking. Furthermore, there are insufficient studies done to evaluate students' cross-cultural competence in the context of formal education institution. Unfortunately, even though the practice of cross-cultural design is increasingly recognised, research on the design of the corporate identity curriculum is still lacking. Therefore, the objective of this study is to present a framework for a curriculum development model for cross-cultural corporate identity course for diploma in graphic design programme which include three key components: (1) identify the key components in curriculum model development, (2) outline and develop a curriculum model and (3) evaluate its feasibility based on cross-cultural in the process of learning creative corporate identity for the education of graphic design art. The Design and Developmental Research model is applied to develop such a model. The conceptual model proposed in this study outline three main aspects - namely (1) to put forward and establish the need to create the cross-cultural model of corporate identity of graphic design arts in the local higher learning institutions which is concurrent with the demands of current academic and creative industries, (2) design and development phase and (3) evaluation and usability phase. The development of the cross-cultural curriculum model is a guide for diploma lecturers in the education of graphic design arts to facilitate the implementations of project-based teaching and learning to be more responsive by applying local and cultural elements in the product designs. Knowing local cultures is a great way to encourage future diploma graduate graphic designers to produce more product designs with quality attributes such as being authentic, and highlighting locally-produced graphics which then have the potential to flourish globally.
Coaching Parents on Feeding Techniques Via Telepractice

At first, an SLP balked at moving her services online. Then she discovered unexpected benefits.
Optimistic Exploration with Backward Bootstrapped Bonus for Deep Reinforcement Learning

Optimism in the face of uncertainty is a principled approach for provably efficient exploration for reinforcement learning in tabular and linear settings. However, such an approach is challenging in developing practical exploration algorithms for Deep Reinforcement Learning (DRL). To address this problem, we propose an Optimistic Exploration algorithm with Backward Bootstrapped Bonus (OEB3) for DRL by following these two principles. OEB3 is built on bootstrapped deep Q-learning, a non-parametric posterior sampling method for temporally-extended exploration. Based on such a temporally-extended exploration, we construct an UCB-bonus indicating the uncertainty of Q-functions. The UCB-bonus is further utilized to estimate an optimistic Q-value, which encourages the agent to explore the scarcely visited states and actions to reduce uncertainty. In the estimation of Q-function, we adopt an episodic backward update strategy to propagate the future uncertainty to the estimated Q-function consistently. Extensive evaluations show that OEB3 outperforms several state-of-the-art exploration approaches in Mnist maze and 49 Atari games.
ANALYSIS OF RESULTS OF RESEARCH OF INTERACTION OF INSTITUTIONS OF GENERAL SECONDARY AND OUT-OF-SCHOOLS EDUCATION IN AESTHETIC EDUCATION OF TEENAGERS

The article reveals the main results of scientific research on the implementation of the system of interaction of general secondary and out-of-school education institutions in the aesthetic education of teenagers. Methods of diagnosing the aesthetic education of students at the stages of the ascertaining and formative stages of the study, which were used during the experiments, confirmed the need and correctness of the conclusions. The main purpose of improving the aesthetic education of adolescents - the integration of the existing system and new forms of interaction, event technology in education as a technology of impressions and a component of the system of socio-pedagogical activities in educational institutions, methods of interaction, and methods of aesthetic education aimed at creative activities, promotes acme success, creative self-realization of teenagers. As a result of introduction of multi-vector model the tendencies of development of aesthetic education of modern teenagers in the conditions of application of system of interaction of establishments of general secondary and out-of-school education in aesthetic education of teenagers are allocated. A general trend for both control and experimental groups is a decrease in the number of teenagers who show a "low" level of aesthetic education. This allows us to argue about the feasibility of the proposed system of interaction of general secondary and out-of-school education in the aesthetic education of teenagers, the introduction of new forms, methods of interaction in the practice of school and out-of-school. With such interaction, the out-of-school education institution is able to solve a range of tasks aimed at aesthetic education of teenagers in particular and humanization of general secondary education in general: integrate resources of out-of-school and general secondary education, equalize initial opportunities at the same time to each pupil acme success, to promote self-realization of the personality of the child and the teacher.
The Effectiveness of Jigsaw and Cooperative Integrated Reading and Composition (CIRC) Models in Teaching Reading of Narrative Text to the Students at SMA Negeri 9 Semarang

This research was conducted to determine the effectiveness of using jigsaw and cooperative integrated reading and composition (CIRC) model in teaching reading narrative text to students X grade of SMA Negeri 9 Semarang. This research used experimental design. The instruments for collecting the data were pre-test, posttest, questionnaire, and interview. The participants of this study were the X-MIPA.3 as the experimental class and X-MIPA.2 as the control class. The data were analyzed by using t-test statistic in the SPSS program. This experiment research implemented jigsaw and cooperative integrated reading and composition model in class. The result of this research showed that teaching by using jigsaw and cooperative integrated reading and composition (CIRC) was effective in teaching reading narrative text. The students’ reading comprehension of narrative text was improved. The mean value of the pre-test in experimental class was 75.25 and the mean value post-test was 83.94. Meanwhile, the mean value of the pre-test in the control class was 73.60 while the post-test was 82.69. The result of an independent sample test, the Sig. (2-tailed) was 0.447 < ½ α 0.05, it rejected H0. It can also be concluded that both of the models gave the impact and influenced the reading test score. The impact for the students such as responsibility, motivation, and confidence. It was also can be proved from the result of questionnaire in which 63.80% was in control class, and 58% was in experimental class. Surely, cooperative integrated reading and composition and jigsaw help the students to explore the activity in sharing and discussing. Further, it also help them to improve their confidence. Through, both of models believed to help students understand the material in more positive way. Keyword : Jigsaw, Cooperative Integrated Reading and Composition (CIRC), reading, narrative text
Microlens design to explore biological tissues for parasitic diseases identification

The risk of the occurrence and spread of various biological threats dictates increased requirements for the accuracy and speed of their detection. So, the work is devoted to design of the microlens with high image quality without digital processing at different environment’s temperatures. Thus, it allows investigating biological tissues in collecting place and reducing the time of diagnosis.
MENGAPLIKASIKAN TEHNIK POHON UNTUK MENINGKATKAN KOSA KATA SISWA KELAS VII MTS NEGERI 1 PALU

This research was conducted at the Seventh Grade students of MTs. Negeri 1 Palu. It was quasi experimental research as design. The sample was Seventh B and Seventh C consisting 30 students each. The data was collected from the Test (Pre-test and Post-test). The findings of the research shows that the application of tree technique can increase students’ Vocabulary mastery. The result of pretest shows the average score of the experimental group is 65.13, while the average score of the control group is 72.92. Meanwhile, the result of the posttest reveales that the average score of the experimental group is 74.59, while in the average score of the control group is 68.06. The difference in vocabulary scores of the experimental group and the control group is 6.53. It shows that the average score of the experimental group is higher than the control group. Using t-test, the calculated  t-value is found 7.287. It is higher than the t-table value which is 2.019. From the calculation, it can be stated that there is a significant difference between the experimental group and the control group. The researcher concludes that the students can increase their vocabulary mastery through the use of tree technique. Furthermore, with this technique the students are able to explore their new vocabularies. Key terms: Tree Technique, Vocabulary Mastery, Quasi Experimental.
After the virus in schools

Containment confirmed the teachers’ inventivity and should lead to questionning the organization of time, inequalities and the role of the digital.
FairPut: A Light Framework for Machine Learning Fairness with LightGBM

This is a holistic framework to approach fair prediction outputs at the individual and group level. This framework includes quantitative monotonic measures, residual explanations, benchmark competition, adversarial attacks, disparate error analysis, model agnostic pre-and post-processing, reasoning codes, counterfactuals, contrastive explanations, and prototypical examples. A number novel techniques are proposed in this framework, each of which could benefit from future examination.
LibGuides: Natural Language Processing for Non-English Text: Home

Tutorials and sample code for preforming analysis on non-English texts using Natural Language Processing methods, including Python scripts to clean, analyze, and visualize text.
Effects of perceived job motivating potential on job satisfaction

The purpose of this study was to determine the effects of perceived motivating potential of the job on job satisfaction among employees. In all, 300 employees from some of the organizations were purposively selected for the present study. They were divided into three groups based on their scores on Job Diagnostic Survey and then they were compared on job satisfaction scale. The Hindi version of the both the tools were used in this study. The descriptive and inferential statistics were used to analyze the data. The results obtained in the study made it obvious that perceived motivating potential of the job is an immediate and important determinant of job satisfaction among employees. The proposed hypothesis was accepted. The results are thoroughly discussed and interpreted. Besides it, limitation of the study and suggestion for future researches are also underlined.
The Impact of Group Size on Decision Effectiveness

The relationship between organization and environment, based on the need to gather information and find resources, is increasingly characterized by a high level of uncertainty. Uncertainty means that managers do not have enough information and time to anticipate changes and make good decisions. More and more managers make decisions about new problems or situations. The level of risk increases, as well as the degree of complexity that the decision maker has to face. Under these conditions, organizations are moving towards the use of groups. The main purpose of the current research is to identify what are the most important benefits and limits of the group referring to its size, taking into analysis the banking institutions. For the current study is adopted the quantitative research and for the data collection is used the questionnaire. A total of 344 questionnaire are distributed. 80 percent of the participants agree that group size affects the quality of the decisions made and most of them prefer small groups. Also, most of them believe that within large groups are more conflicts, the relationships between members are more formal, the attention and individual commitment are lower than in small groups, the consensus is difficult, decisions can be made only through a voting process and there are no delays in decision-making, but coordination problems are not necessarily higher than within small groups.
Cluster Prediction Model for Market Basket Analysis: Quest for Better Alternatives to Associative Rule Mining Approach

Market basket analysis seeks to apply association rule mining on the massive sales transaction data. It yields an outcome that either aims to suppress product stock-up unnecessarily and/or product being stock-out. Such decision support system seeks to avoid the unnecessary demurrage and help businesses to keep their customers via better decision and improved service. Market data are time-bound on supply-demand value chain. With customer behavior varying in time, we seek to predict purchase of commonly combined itemset for a next period – so that businesses can better support their decisions via adequate provisions of the required inventory. We use 3-KDD dataset and Delta Mall dataset – adapting a time-clustering algorithm that examines buying behavior of customers, their preferences and frequency with which goods are purchased in common as a basket. Model yields average 162-rules for four-dataset from dataset. Result shows that previous basket items by random customers allow the selection purchase of items of similar value as best combined due to its shelf-placement using the concept of feature drift.
Digital technologies in modern historical and archival research and education

The article discusses the main vectors of the application of digital technologies in the archival field. It is noted that the digitization of documents and the development of open access technologies have created favorable conditions for the use and preservation of archival documents. The creation of popular science projects contributes to the expansion of the audience of archive users and forms a respectful attitude towards documentary heritage in society. The main trend in the application of digital technologies in scientific research remains the improvement of methods for creating digital editions.
Pendampingan Pembuatan Media Pembelajaran Interaktif pada Kelompok Kerja Guru SD Kecamatan Lembang Kabupaten Pinrang

Abstract. This community service activity was carried out in Lembang District, Pinrang Regency, especially in the elementary school teacher working group. Knowledge about the use of interactive media for elementary school teachers in Lembang district is still limited. This is due to the lack of training given to teachers regarding the use of interactive media that intersects with information technology and computers. Assistance activities for making interactive learning media based on information technology and computers are intended so that elementary school teachers in Lembang district can make their own interactive learning media that can be used in the learning process. Interactive learning media based on information technology and computers are learning media designed using the Power Point by utilizing the features in the program so that learning can be more interesting and interactive. The features that can be utilized are the link feature that can connect the power point with some other material outside the power point, both on the computer and on the website. This instructional media design is used so that the learning material presented is more complete and presents a variety of varied material for students. Teachers can also connect power points with video or audio media on computers or video provider websites such as the YouTube application. The result of this community service is helping groups of elementary school teachers in Lembang District, Pinrang Regency in making interactive learning media, so that teachers can make their own learning media and use them in the learning process both in face-to-face learning and online learning.
『요산당신집의방금낭지보(樂山堂新集醫方錦囊至寶)』의 편제에 대한 연구

Objectives : This paper aims to examine the overall form of the 『Yosandangsinjipeuibangkeumnangjibo』 (『Yosandang』).Methods : The table of contents, organization of the body, citations in the 『Yosandang』 were examined, then compared to the organization of 『Donguibogam』 (『Bogam』) and 『Jejungsinpyeon』 (『Jejung』).Results & Conclusions : Based on the organization of the body, it could be determined that Byun Gwangwon referenced 『Bogam』 and 『Jejung』. However, it was found that 『Yosandang』 strived to be more faithful to the 『Bogam』 than the 『Jejung』 while it also tried to minimize the complicatedness of 『Bogam』. Its organization was unique in that it created new chapters and added contents. Also, through examination of the citations, it could be assumed that those in the 『Yosandang』 were secondary citations of the 『Bogam』 and 『Jejung』. Despite these features, it also cited the 『Zhengzhizhunsheng』 and showed efforts to include new knowledge with citation labels such as ‘新增[newly added]’ ‘自述[original writing]’ and ‘Yosan(樂山)’.Discussion : The findings of the comparison and examination process of the organization and citations of the book revealed that the uniqueness of the organization of 『Yosandang』 is most obvious in the pediatrics chapter. This indicates that the author''s intention was to deal with pediatric diseases professionally.
ISA: An Intelligent Shopping Assistant

Despite the growth of e-commerce, brick-and-mortar stores are still the preferred destinations for many people. In this paper, we present ISA, a mobile-based intelligent shopping assistant that is designed to improve shopping experience in physical stores. ISA assists users by leveraging advanced techniques in computer vision, speech processing, and natural language processing. An in-store user only needs to take a picture or scan the barcode of the product of interest, and then the user can talk to the assistant about the product. The assistant can also guide the user through the purchase process or recommend other similar products to the user. We take a data-driven approach in building the engines of ISA’s natural language processing component, and the engines achieve good performance.