Reviewerly/exHarmony huggingface dataset:
Strategy Graphs for Influence Diagrams

An influence diagram is a graphical model of a Bayesian decision problem that is solved by finding a strategy that maximizes expected utility. When an influence diagram is solved by variable elimination or a related dynamic programming algorithm, it is traditional to represent a strategy as a sequence of policies, one for each decision variable, where a policy maps the relevant history for a decision to an action. We propose an alternative representation of a strategy as a graph, called a strategy graph, and show how to modify a variable elimination algorithm so that it constructs a strategy graph. We consider both a classic variable elimination algorithm for influence diagrams and a recent extension of this algorithm that has more relaxed constraints on elimination order that allow improved performance. We consider the advantages of representing a strategy as a graph and, in particular, how to simplify a strategy graph so that it is easier to interpret and analyze.
Lightweight Text Matching Method

This paper constructs a lightweight text matching model. This model fully extracts the features of two text through the fusion of double tower and interactive methods, and then conducts deep interaction. Then, it classifies the last extracted text features through the classification network, and conducts training, validation and testing on the Chinese text matching dataset LCQMC. Although the experimental results show that the model in this paper is relatively good, it still needs to be improved.
Reform and Practice of Introduction to Artificial Intelligence Course in Local Universities

In view of the current teaching characteristics and challenges in the teaching process of Introduction to Artificial Intelligence, this paper puts forward the curriculum reform schemes such as the "First Five-Year Plan" curriculum system, the addition of cooperative experiments, and the reform of diversified assessment methods. Combined with the teaching reform practice of Jiyang College of Zhejiang A&amp;F University, the implementation process is expounded. The practice results show that the proposed reform measures can stimulate students' exploration consciousness and enhance their professional confidence.
Development of Interactive Learning Media Based on Lectora Inspire on Excretion System Materials

This development research aims to determine the feasibility of Lectora Inspire-based interactive learning media and its effectiveness on the learning outcomes of class XI students. This research was conducted at MAN Labuhanbatu by focusing on the development of Lectora Inspire-based interactive learning media on excretion system materials in class XI. This research method uses the ADDIE model development research method. This data collection technique uses questionnaires, and observation sheets. The results of the study stated that from three validators the media expert validators gave a score of 80% (Feasible). The material expert also provided an 88% final result with the category "Very Decent". The assessment response in teachers when conducting learning trials received a "very decent" score of 88%. The results of research on the application of Lectora Inspire-based interactive learning media to the subject matter of the excretory sub-system biology to student learning outcomes obtained very effective results. get a gain score of more than 29. It can be concluded that this developed medium is very effectively used in learning for class XI.
Analysis Students’ Learning Motivation on the Implementation of Direct Instruction Learning Model

This study aims to analyze students’ learning motivation on the implementation of Direct Instruction learning model in Muhammadiyah Pakem Senior High School. The research design used in this research is pre-experimental with a one-shot case study. The study sample consisted of all class X students with a total of 11 students. Sampling technique using is purposive sampling. Data collection techniques were carried out by questionnaires to measure students' learning motivation. The data analysis used is a descriptive analysis by calculating the percentage of the overall score on the learning motivation questionnaire. The results of the study were the level of students’ learning motivation in Muhammadiyah Pakem Senior High School in the high-very high category. The present of the teachers in the Direct Instruction learning model have a big role to develop students' learning motivation
Brief Introduction of Method Innovation and Improvement within the Online Teaching of Distance Education Courses

This article focuses on the innovation and improvement of methods within the online teaching method system of distance education courses. Through the whole process of teaching, namely, the preparation of classes by the pre-class distance education recording and broadcasting system, the teaching of the in-class distance education live broadcast system and the after-class distance education examination system, the innovation and improvement of teaching methods and methods were briefly explored. It clarified that the distance education recording and broadcasting system should prepare courses, dominate the textbook, design the distance course PPT and video online courses, and be suitable for students or students of different levels; For teaching in the distance education live broadcast system, it was necessary to choose the appropriate teaching method, adopt a directional interpretation angle, and improve the ability level of the educator; The distance education examination system should focus on the innovation and improvement of educational and teaching methods such as pre-examination review, questions-answering during the examination, and software design with automatic prompt function for post-examination comments. The purpose was to explore and create a new path and new method for improving the effectiveness and quality of teaching by this basic teaching method, so as to demonstrate the teaching method doctrine of “Distance education selectively draws on past experience, follows objective laws according to one's own needs, and seeks truth from facts”.
TOWARDS THE APPROACH TO BUILDING SMART CONTRACTS BASED ON BUSINESS RULES USING NATURAL LANGUAGE PROCESSING

This paper considers the smart contracts development process based on business rules using natural language processing as the research object. The research subject includes software components for creating smart contracts based on business rules using natural language processing. The research aims to simplify the software component development for decentralized systems by using smart contracts generation from business rules written in natural language. This study considers smart contract development approaches and technologies, intelligent text processing methods, as well as software development techniques using the Python programming language for the experimental implementation of the proposed solution. This study outlines the relevance of this research, provides a state-of-the-art analysis, proposes the improved procedure of smart contracts’ development and deployment, and suggests an algorithm for smart contract generation based on business rules.
PENERAPAN PERMAINAN TAMBANG UNTUK PEMBELAJARAN MATEMATIKA DALAM PENINGKATAN KEMAMPUAN KOGNITIF-MATEMATIS PADA ANAK KELOMPOK A DI TK DIPONEGORO SRIMULYO DAMPIT-MALANG

The Mining games aim to develop children's cognitive-mathematical abilities in learning mathematics. The purpose of the research includes to describe the process of learning mathematics in mining games to improve children's cognitive abilities. This type of research uses a case study and the approach uses classroom action research (CAR). Teaching by (Home Visit) visits to students' homes in one week with 3 meetings. Data analysis techniques were obtained from observation data, interview data, and documentation data. The results and discussion of the research include the process of learning mathematics that can use modifications from the use of existing learning media. The average result of the increase between cycles I and II in each meeting (I) was 67.70%. (II) 75.78%, (III) 81.51% through the evaluation of 16 children in group A. The study concluded that mining games in mathematics learning had increased very significantly. The application process that pays attention to aspects of concentration, speed, and accuracy in cognitive-mathematical abilities in early childhood.
The Influence of Information Technology on College Education and Teaching

With the rapid development of modern science and network technology, information technology has been more and more used in college classrooms, and has had a profound impact on the teaching of various professional courses. Especially in the context that the epidemic has swept the world and students cannot enter offline physical classroom, information technology plays a vital role in teaching classroom.
Exploring the Modernization Path of the Internal Governance System and Governance Capacity of Local Universities Under the Background of "Double First-class"

Under the requirements of national policy, the internal governance work of colleges and universities with the help of modern office technology and means, has made certain progress, modern governance level significantly improved, effectively assist colleges and universities to promote the teaching and research cause, improve the teaching construction level and teaching work level. However, there are still some problems of imperfect governance system and relatively low governance ability in the internal construction work of colleges and universities. Some colleges and universities even ignore the internal governance work, whose teaching and research work is not coordinated, and they cannot create a high-quality school environment for students. In addition, the internal governance work of colleges and universities is also faced with all kinds of problems, such as the lack of modern management talents, miscellaneous management institutions, the lack of internal governance power operation, resource allocation to be optimized, resulting in the smooth operation of the university governance and teaching work are deeply affected. In view of this, this paper will be the construction of double first-class universities, under the background of the requirements of internal governance and the importance of internal governance modernization development, and then focus on the problems in the internal governance work, on the basis of the internal governance system and governance ability modernization path, in order to provide reference for school construction and discipline construction, promote the development of university education system, play the important role of universities in talent training and talent transmission. With the modernization development of university governance work, we will cultivate high-quality and high-quality application-oriented and academic talents for our country social modernization construction, and promote the smooth operation of discipline teaching and research work and undertakings in various industries.
Development of an Ensembled Meta-Deep Learning Model for Semantic Road-Scene Segmentation in an Unstructured Environment

Road scene segmentation is an integral part of the Intelligent Transport System (ITS) for precise interpretation of the environment and safer vehicle navigation. Traditional segmentation methods have faced difficulties in meeting the requirements of unstructured and complex image segmentation. Therefore, the Deep-Neural Network (DNN) plays a significant role in effectively segmenting images with multiple classes in an unstructured environment. In this work, semantic segmentation models such as U-net, LinkNet, FPN, and PSPNet are updated to use classification networks such as VGG19, Resnet50, Efficientb7, MobilenetV2, and Inception V3 as pre-trained backbone architectures, and the performance of each updated model is compared with the unstructured Indian Driving-Lite (IDD-Lite) dataset. In order to improve segmentation performance, a stacking ensemble approach is proposed to combine the predictions of a semantic segmentation model across different backbone architectures using a simple grid search method. Thus, four ensemble models are formed and analyzed on the IDD-Lite dataset. The two metrics Intersection over Union (IoU or Jaccard index) and Dice coefficient (F1 score) are used to assess the segmentation performance of each ensemble model. The results show that an ensemble of U-net with different backbone architectures is more efficient than other ensemble models. This model has achieved 73.12% and 76.67%, respectively, in IoU and F1 scores.
Development of online media based on the KIL-IRMA learning model on learning to write criticism and essays in the Indonesian language and literature education study program, Jambi University

The purpose of this development research is to develop online media in learning to write criticism and essays in universities. The results of observations on students' ability to write literary criticism are still low. Based on this, it is necessary to develop and design instructional media that complement the course of writing criticism and essays. The research and development that the author will do is using the ADDIE method with the KIK─IRMA model step. The results and conclusions of the study are: 1) based on expert validation, it is concluded that the media writing criticism and essays in terms of material, media and language is very valid, so that the media can be used. 2) based on the student assessment, the developed media is classified as practical, so that the media can be used, 3) After it is declared fit for the trial, the media is then tested using the KIK─IRMA model step on an individual scale and on a field scale. After the individual and field trials were completed, the level of effectiveness and practicality was obtained. Based on the results of the pretest and posttest cognitive, psychomotor, and affective aspects of this learning media are classified as effective and practical to use.
STRATEGY FOR COST EFFICIENCY CALCULATION OF THE ADOPTION COST OF THE MULTI-CLOUD SOLUTION THROUGH THE DELIVERABLE-ORIENTED BREAKDOWN

The main reason for usage of multi-cloud solutions is cost effectiveness. The accuracy of the cost benefits analysis that should be used in decision making process is directly related to the approach for the cost of development and cost of operation efforts calculation.
Social protest style in the novel Perempuan yang Menangis kepada Bulan Hitam by Dian Purnomo: stylistic studies

This study aims to examine and describe Dian Purnomo's authorship style in the novel Perempuan yang Menangis kepada Bulan Hitam (PMBH) based on symbols of sexual violence against women. The use of diction, sentence style, and imagery is examined using stylistic analysis. The results of this study indicate that there are three stylistic forms, namely diction, sentence style, and imagery. Based on the results of this study, it is stated that Dian Purnomo's authorship style in the PMBH novel is in the style of Proletarian Fiction (Social Protest Fiction). Dian Purnomo, through this novel, reveals the reality that is happening in the Sumba community regarding the Marriage Catch tradition. In this tradition, many women are victims of sexual violence and hatred. Dian Purnomo prohibits protests customary rules and rulers.
A Study on Problems of Teachers in Teaching Mathematics at Higher Secondary Level of Mayurbhanj District, Odisha

Abstract: The key objectives of the research work are to find the problems of teachers in teaching mathematics at higher secondary level. This study was administered on 120 mathematics teachers teaching in different higher secondary schools of Mayurbhanj district, Odisha, India. A self developed questionnaire was used to collect data from higher secondary school mathematics teacher to investigate the problems of teaching mathematics. The finding of the study emphasized that there is a significant difference between high and low experienced mathematics teachers’ attitude towards problems in teaching mathematics at higher secondary level. The outcome of research work revealed that there is no significant difference between male and female mathematics teacher’s attitude towards problems in teaching mathematics at higher secondary level. In addition to this, there is a significant difference in attitude among rural and urban mathematics teachers towards the problems in teaching mathematics at higher secondary level. Further, recommendations were given on the basis of obtained finding of the study.
Missing Person Identification using Machine Learning Algorithms

Abstract: From last few years there are many missing person cases reported at police station which are not yet solved. In our project we are solving this issue using various machine learning algorithms like SVM, KNN etc. Basically, using facial expressions, we can train model and depending on matched feature we will get known persons identity. This will generate fast and accurate results. For this we are taking missing person dataset from Kaggle. In output we will get persons identity depending on various classified features like gender, age, geographical location. Results will be forwarded to police for further investigation. In this, there are countless number of people missing every day from which most of them are children. This project proposes a system that would help the police and the public by accelerating the process of searching using face recognition. When a child goes missing, the police can upload the picture of the missing person by taking the latest picture of child or person from the parents when the case is registered and gets stored in the database. In this model, an automated facial recognition system for missing child, person and stored in database. Then classification done like teen,with without marks, with without beard and when person is founded after long years system perform matching with teen,with without marks, with without beard and give results
Network Forensics Against Volumetric-Based Distributed Denial of Service Attacks on Cloud and the Edge Computing

Cyber attacks are increasingly rampant and even damage the reputation of companies, agencies, and services. DDoS attacks have been overgrowing in the last year, which has resulted in substantial losses. Volumetric-based Distributed Denial of Service (DDoS) is a hazardous attack type because it can consume server resources, causing the server to be unable to serve customer requests. The network design consisting of hardware and software becomes the essential capital that is a determinant of the quality of a network in the long term. A firewall is one way to stop the occurrence of DDoS. Forensics and mitigation in this study apply Packet Filtering Firewall and Circuit Level Gateway Firewall against ICMP-Flood DDoS attacks. The research methodology is a simulated experiment on cloud and edge computing networks. Forensics and mitigation in cloud computing are carried out at layer 3, the Internet Protocol layer TCP/IP model, by applying a Packet-Filtering Firewall with a success rate of 64%-69% traffic reduction. In contrast, the success of reducing server resource usage is 73.75%. At the same time, Edge computing is carried out at layer 4, namely the Transport Protocol layer TCP/IP model, by applying a Circuit-Level Gateway Firewall with a success rate of reducing traffic by 55%-98.88%. In comparison, the success of lowering server resource usage is 96% and restoring traffic and paralyzed servers to normal position.
Scientific Literacy Skill Through Digital Media Professional Pdf Flip Based Book in Elementary School

This study aims to determine the effect and how much of a professional flip pdf-based digital book media on science literacy skills in elementary schools. This research method uses descriptive quantitative research with the type of Pre-Experimental Design and the form of design used is one group pretest-posttest design. The instrument used in this study was a scientific literacy test sheet. The results showed that to test the hypothesis and answer the problem formulation, the data analysis techniques used were Eta squared and paired samples correlation. From the results of the Eta squared value, it was obtained at 0.850, which means that there is a big influence between professional flip pdf-based digital book media on scientific literacy skills, while if viewed from the paired samples correlation output above, it can be seen that the Sig (2-tailed) value is 0.000 which means more smaller than 0.05 means that there is a positive effect of professional flip pdf -based digital book media on the scientific literacy skills of elementary school students. The conclusion in this study is that the professional flip pdf-based digital book media has a positive and significant impact on the scientific literacy abilities of fourth grade students so that it can be used as a solution in elementary school learning.
Analisis Optimasi Transaksi Digital pada Sistem Informasi Pengadaan Sekolah (SIPLAH) PT. Intan Pariwara

This study aims to determine the optimization of digital transactions in the School Procurement Information System (SIPLah) at PT. Intan Pariwara. The research analysis used was an analysis with a qualitative descriptive approach. While the data collection method uses interview methods and observation methods. The results of the research on each parameter, the technology, marketing, transaction, customer service, product management and finance. SIPLah PT. Intan Pariwara has advantages compared to other SIPlah partners in the system and website appearance. Even so, it still has disadvantages, namely for the payment method it only has one payment method which makes the buyer have no choice.
The potential of remote XR experimentation: Defining benefits and limitations through expert survey and case study

Experimentation using extended reality (XR) technology is predominantly conducted in-lab with a co-present researcher. Remote XR experiments, without co-present researchers, have been less common, despite the success of remote approaches for non-XR investigations. In order to understand why remote XR experiments are atypical, this article outlines the perceived limitations, as well as potential benefits, of conducting remote XR experiments, through a thematic analysis of responses to a 30-item survey of 46 XR researchers. These are synthesized into five core research questions for the XR community, and concern types of participant, recruitment processes, potential impacts of remote setup and settings, the data-capture affordances of XR hardware and how remote XR experiment development can be optimized to reduce demands on the researcher. It then explores these questions by running two experiments in a fully “encapsulated” remote XR case study, in which the recruitment and experiment processes is distributed and conducted unsupervised. It discusses the design, experiment, and results from this case study in the context of these core questions.