Reviewerly/exHarmony huggingface dataset:
Smart Product Recommendation System

The world of product recommendation is growing rapidly. With the rapid increase in the number of products available, it becomes increasingly important for people to know what is best for their needs. A recommendation system is a computerized system for recommending products to customers. It uses data and algorithms to determine the best products to recommend, based on the user's preferences. The term is also used to describe the process of determining which products to recommend by analyzing user behavior patterns or other data. We aim to develop a smart recommender system that will be able to recommend and predict the products that the user most likely will purchase based on several recommendation methods including collaborative filtering, the popularity-based method, and content-based method. This work relied on the cosine similarity metric to find the nearest neighbors when applied to character-type data in machine learning due to its dynamic ability to adapt to different data features. Cosine similarity is employed in textual data to find the similarity between the vectorized texts and original text document. The Popularity-based approach provided an accuracy of 99.9% when recommending the most popular items. The Content-based recommendation system reached a 96% accuracy rate when tested on the authors’ website. They can handle circumstances in which various users do not share the same products, but only identical items based on their fundamental characteristics. Finally, the Collaborative-based approach resulted in weak suggestions with only 87% accuracy rate when tested on authors’ website.
Praktik Jual Beli Barter Sparepart Sepeda Motor Di Kelurahan Sadabuan Kota Padangsidimpuan Ditinjau Dari Kompilasi Hukum Ekonomi Syariah

The background of the problem in this research is the sale and purchase of spare parts motorcycles that are still in the credit period, but the debtor has default against one of the leasing companies in the city of Padangsidimpuan. As a result of the default, the leasing party will withdraw the motorcycle before the leasing party comes to recall the motorbike In this case, the debtor has sold some of the motorcycle spare parts with barter trading system. For example, such as rear shock (spring), tires and others. Whereas in the Compilation of Sharia Economic Law Article 266 which states: contains about Tenants are prohibited from renting and lending ijarah objects to other parties except with the permission of the party who rents out The formulation of the problem in this study is how to practice buying and selling motorcycle spare parts barter and a review of the Sharia Economic Law Compilation on the sale and purchase of motorcycle spare parts barter in the Sadabuan urban village Padangsidimpuan The method used in this research is the research method qualitative. As for the data collection techniques in the form of interviews and documentation. In this method, the data analysis used is descriptive that is, the researcher analyzes a systematic picture of what is happening in the field. Then perform an analysis of the findings by using adjust between findings and theory From the results that the practice of trading spare parts barter carried out in Sadabuan Village and the community have not fully complied with the requirements regarding buying and selling by barter which is contained in several provisions and can be eliminating the benefits, so the sale and purchase of spare parts is not in accordance with Compilation of Sharia Economic Law and because of the lack of clarity with objects or goods on the object being traded.
Leveraging Human Feedback to Evolve and Discover Novel Emergent Behaviors in Robot Swarms

Robot swarms often exhibit emergent behaviors that are fascinating to observe; however, it is often difficult to predict what swarm behaviors can emerge under a given set of agent capabilities. We seek to efficiently leverage human input to automatically discover a taxonomy of collective behaviors that can emerge from a particular multi-agent system, without requiring the human to know beforehand what behaviors are interesting or even possible. Our proposed approach adapts to user preferences by learning a similarity space over swarm collective behaviors using self-supervised learning and human-in-the-loop queries. We combine our learned similarity metric with novelty search and clustering to explore and categorize the space of possible swarm behaviors. We also propose several general-purpose heuristics that improve the efficiency of our novelty search by prioritizing robot controllers that are likely to lead to interesting emergent behaviors. We test our approach in simulation on two robot capability models and show that our methods consistently discover a richer set of emergent behaviors than prior work. Code, videos, and datasets are available at https://sites.google.com/view/evolving-novel-swarms.
Investigating the Role of Executive Functioning in Appropriate Behavior Development of Visually Impaired School Students

Executive function with appropriate behavior is significant for visually impaired students to adjust in an adaptive environment. This study intended to investigate the role of executive functioning in appropriate behaviors of visually impaired school students. The study was quantitative and descriptive. The sample of study included 80 teachers of visually impaired school students from different cities in Punjab. A convenient sampling technique was used to collect data through a self-developed structured questionnaire. The validity of the instrument was assured by the experts’ opinion (N=02). Data were analyzed through descriptive statistics by using SPSS version 21. Frequencies were drawn from the data to reach the findings of the study. The findings of the study revealed that 57.5% of respondents reported that visually impaired students get into trouble starting and completing tasks. However, 51.2% of respondents responded that visually impaired students have self-control over themselves in response to unethical behaviors. The study recommended that particular training should be conducted for teachers to develop goal-oriented behaviors among visually impaired students. Moreover, Teachers should engage visually impaired students in such class activities that could bring effective behavioral change among them.
Mathematical Preliminaries in the Case of Lossless Compression Markov Models

Compression schemes can be divided into two categories, lossy and lossless, but this paper presents lossless data compression models and the original data can be correctly recovered from the data compressed material. Some mathematical results are assumed; the results of probability tests are assumed and used to evaluate the compression techniques we will discuss. To learn more about math concepts for some of the topics in this article, see [2, 3]. First, we look at several ideas in information theory that provide a standard for the development of lossless data compression schemes are briefly reviewed. We next look at several ways to model data that lead to efficient data compression encryption schemes.
Pengaruh Persepsi Atas Sarana Prasarana Pembelajaran dan Perhatian Orang Tua terhadap Prestasi Belajar IPS

&lt;p class="AbstractContent"&gt;&lt;span lang="IN"&gt;The purpose of this study was to find out 1). The influence of perceptions of learning infrastructure and parental attention together on social studies learning achievement of private junior high school students in Bekasi, 2). The effect of perceptions of learning infrastructure on social studies learning achievement of private junior high school students in Bekasi, 3). The effect of perceptions of parents' attention on social studies learning achievement of private junior high school students in Bekasi. The sample used was 60 students as the research sample using proportional random sampling technique with multiple linear regression test. Based on the results of the hypothesis and data analysis, it is concluded as follows: 1) There is a significant influence on the perception of learning infrastructure and parental attention together on the social studies learning achievement of private junior high school students in Bekasi. This is evidenced by the value of Sig = 0.009 &amp;lt;0.05 and Fcount = 5.067, 2). There is a significant influence on the perception of learning infrastructure on the social studies learning achievement of private junior high school students in Bekasi. This is evidenced by the value of Sig = 0.042 &amp;lt;0.05 and t = 2.080, 3). There is a significant effect of parental attention on social studies learning achievement of junior high school students in Bekasi. This is evidenced by the value of Sig = 0.024 &amp;lt;0.05 and tcount = 2.317.&lt;/span&gt;&lt;/p&gt;
Analytical Review of the Slogans of Aurat March expressing the Right of Freedom

The aim of this research paper is to analyze the slogans of Aurat March 2020 with right of freedom of expression. The right of freedom of expression is a fundamental right guaranteed in the constitution of Pakistan 1973. This is a quantitative analysis conducted with the help of UAM Corpus Software to perform SFL analysis of the slogans. Researchers make use of Halliday's ideational meta-functions to analyze the slogans. The data has been collected through random sampling from social media and web sources. SFL transitivity analysis helps researchers keep their research relatively objective and unbiased. In depth analysis of all the processes has been conducted in the research. Results indicate that the Material Process has been used the most in the slogans which indicate actions. Relational process is also quite prominent in the results which show that slogans were meant to create a comparison between two entities. This paper paves the way for the researchers to look into PDA through the linguistic lens of SFL. Women rights is a burning issue in Pakistan which has been taken up by the marchers and their slogans have been criticized by the media and social media. This paper aims to explore the objective reason for that.
Digitizing Notes using Optical Character Recognition and Automatic Topic Identification and Classification using Natural Language Processing

Abstract: In today’s world digital documents are a major part of everyone’s life as they have a wide scope of usage. However handwritten notes still contain loads of important and valuable information. In our research, we explore the different methods of Optical Character Recognition, or OCR which can be used for digitizing manual notes. Along with it we deep dive into the concept of Topic Detection and Identification and methods to implement it which are useful for extracting the crux of any document or piece of information. With the aim of integrating both processes into a single system, we study various algorithms involving neural networks like ANN, RNN, and CNN, and methods such as Tesseract, KNN, and LSTM that are used for implementing OCR while techniques such as K means clustering, TF-IDF, LDA and LINGO have been employed to perform topic detection and identification. Based on our study and results from various papers, we have decided to use CNN for OCR
A Study of ICT Awareness, Proficiency, and Usage among Post-Graduate (PG) Students

ICTs have now become a buzzword in teaching and learning. Historically, technology has been developed to solve problems, improve living standards and increase productivity. In the educational context, the objectives of ICT are to increase productivity and solve teaching-learning problems. Information and communication technologies play a major role in shaping the new global economy and producing rapid changes in society. The purpose of the study is to find out the awareness level of various ICT devices, proficiency of ICT devices, and the usage of various ICT devices by the PG students. This study was descriptive research that adopts the survey method. Here the researcher used simple random sampling to select 50 samples. To conduct the present investigation, the researcher utilized a self-made questionnaire to gather data, it includes 32 items that are divided into three major dimensions on the basis of the research objectives. The researcher used Mean, SD, and t-tests for the statistical analysis of data. After analysis of the data this study found that there is a significant difference between male and female, and no significant difference between urban and rural PG students in the awareness level of various ICT devices. The two groups of students, namely male and female, differ significantly; the other two groups, urban and rural, do not differ significantly in terms of their proficiency in various ICT devices. The study also found that four groups of students namely male, female and urban, rural differ significantly in terms of the usage of various ICT devices.
Peningkatan Keterampilan Menulis dengan Media Flashcard Menggunakan Model Pembelajaran Think Talk Write pada Pembelajaran Tematik Kelas 1B SDN Manukan Kulon

This study aims to improve writing skills in class IB students at SDN Manukan Kulon Surabaya. Based on pre-cycle reflections, it was found that learning to write for students was not optimal, as seen from the low activity of students in participating in learning and the low results of evaluation of students' writing. This study used classroom action research methods with two cycles, each cycle consisting of two meetings. This study involved teachers and first grade students at SDN Manukan Kulon Surabaya as research subjects. Data collection techniques used include tests, observations, interviews, and documentation. The results showed that the teacher's skills increased from the good category in the first cycle to the very good category in the second cycle. Student activity also increased from the good category in cycle I to the good category in cycle II. In addition, student learning outcomes in writing skills also increased. In cycle I, the average value of writing skills was 85 with a learning completeness percentage of 85%. In cycle II, the average score increased to 93 with a student completeness percentage of 93%. Based on the results of this study, it can be concluded that the use of the TTW learning model can improve teacher skills, student activity, and students' skills in writing. It is recommended that teachers choose learning models and media that are appropriate to the subject matter. One recommendation that can be considered is to use the Think Talk Write learning model with audio-visual media to increase student activity in the learning process. Thus, this research contributes to improving the quality of learning to write in class IB SDN Manukan Kulon Surabaya. The results of this study can also be a reference for other teachers in selecting effective learning models and media to improve students' writing skills.
Implementasi Model PBL untuk Meningkatkan Hasil Belajar Siswa Mata Pelajaran Matematika di SDN Medaeng 2 Sidoarjo

The purpose of this study was to improve student learning outcomes in Mathematics in the material for adding numbers for Grade 1 (one) students through the application of a project based learning model at SDN Medaeng 2 Sidoarjo Regency for the 2022/2023 academic year. The research design is class-based action research (CAR). The research consisted of two cycles with planning, action, observation, and reflection stages. The focus of the research was the teachers and students in class I (one) of SDN Medaeng 2 Sidoarjo totaling 23 students with details of 12 students being boys and 11 students being girls. Data collection techniques consist of observation techniques, learning achievement tests, and field notes when learning activities take place. The conclusion of the research results shows that the implementation of the Project Based Learning (PBL) model can improve student learning outcomes from Pre-cycle to Cycle I and to Cycle II in the activities of teachers, students, and students' Mathematics learning outcomes with a pre-cycle percentage of 34.7%. the average value is 55 then the first cycle increases by 69.56% the average value is 67.17 and increases again in the results of the implementation of the second cycle to 91.3% the average value is 80.43. Based on these result data by applying Problem Based Learning (PBL) addition material can improve the Mathematics learning outcomes of class I (one) SDN Medaeng 2 Sidoarjo and present a fun learning atmosphere and inspire students to be actively involved in learning.
Limit state analysis on the un-repeated multiple selection bounded confidence model

In this paper, we study the opinion evolution over social networks with a bounded confidence rule.Node initial opinions are independently and identically distributed.At each time step, each node reviews the average opinions of several different randomly selected agents and updates its opinion only when the difference between its opinion and the average is below a threshold.First of all, we provide probability bounds of the opinion convergence and the opinion consensus, are both nontrivial events by analyzing the probability distribution of order statistics.Next, similar analyzing methods are used to provide probability bounds when the selection cover all agents.Finally, we simulate all these bounds and find that opinion fluctuations may take place.These results increase to the understanding of the role of bounded confidence in social opinion dynamics, and the possibility of fluctuation reveals that our model has fundamentally changed the behavior of general DeGroot opinion dynamical processes.
The influence of first CNN layer initialization on training convergence

During evaluation of convolution neural networks on the task of sign language single hand alphabet classification we have discovered that in small but not negligible number of cases the training of the network does not converge at all.This paper investigates the problem that we believe is independent of the application.While the true cause of training divergence was not discovered, we can offer the reader an easy solution from practical point of view -initialization of the first CNN layer using pretrained networks parameters.
A Fuzzy Fusion Framework for Generating Purpose-oriented Texts

Fusing textual information, as type of information fusion, has been of great significance to those interested in making informative texts out of the existing ones. The main idea behind text fusion, like any other type of information fusion, is to merge the partial texts from different sources in such a way that the outcome can hold a reasonably high relevance with regard to certain objectives. In this paper, a fuzzy framework is proposed for text generation, according to which a range of relevant texts are merged to yield producing a new text that can help the users fulfill a certain functionality in plausible manner. The focal point in our approach with regard to fusion is the distance between the class prototype of a text on the one side and the feature vectors belonging to different subsets of the existing texts on the other side. Results of experiments, show that the suggested framework can be a suitable alternatives for performing fusion in the cases that the identity of the existing texts from the viewpoint of the texts considered is unclear. This would turn into an effective utilization of the existing texts for the purpose of generating new texts.
GIS-BASED HIGH-RESOLUTION GEOLOGICAL MAP (SCALE 1:50,000): A NEW WINDOW INTO STRUCTURAL DOMAINS OF THE QUETTA AND SURROUNDING AREAS

The Quetta and surrounding areas are part of the collision zone between the Indian and Eurasian plates, named as Kirthar and Sulaiman Fold-Thrust belts. The collision is accommodated by folding, thrusting and the Nushki-Chaman Transform Fault System. Detailed high-resolution (scale 1:50,000) mapping and structural analyses were carried out using modern remote-sensing techniques of the ArcGIS to understand mutual relationships of the structural patterns and geometries, and the regional and local stress patterns in the study area. Fieldwork was carried out to acquire the stratigraphic, structural and geomorphological data, using topographic maps and satellite images as base maps in order to plot additional information and further incorporate them in the GIS-based map. Balanced structural cross-sections were also prepared along the selected lines using ArcGIS techniques. Based on new mapping, the understudy area has been subdivided into five distinct structural domains. These domains are classified as; Domain I: broad syncline intervened by a narrow anticline; Domain II: upright folds and thrusts; Domain III: tight, over-turned thrust zone; Domain IV: flysch and molasse successions of Paleocene-Holocene age; and Domain V: suture belt (ophiolites) and associated mélanges and sediments.
Development of Android-based Interactive Learning Media for English Report Text Material in Senior High School

This study aims to conduct a preliminary study of the development of Android-based learning media in the Report Text material for Senior High School English subjects. The results of the questionnaire data conducted at the pre-research stage showed that 21.88% of respondents had difficulty with the Report Text material, indicated by incomplete KKM. As many as 65.63% of respondents liked English lessons, 46.88% of respondents chose visual-auditory as a learning style and as many as 90.63% of respondents had Android-based devices. Based on these data it was concluded that Android-based learning media that can meet the needs of respondents is an interactive learning media designed using the collaboration of PowerPoint, iSpring Free 9, and Web2APK applications with an attractive appearance
ExTRUST: Reducing Exploit Stockpiles With a Privacy-Preserving Depletion System for Inter-State Relationships

Cyberspace is a fragile construct threatened by malicious cyber operations of different actors, with vulnerabilities in IT hardware and software forming the basis for such activities, thus also posing a threat to global IT security. Advancements in the field of artificial intelligence accelerate this development, either with artificial intelligence enabled cyber weapons, automated cyber defense measures, or artificial intelligence-based threat and vulnerability detection. Especially state actors, with their long-term strategic security interests, often stockpile such knowledge of vulnerabilities and exploits to enable their military or intelligence service cyberspace operations. While treaties and regulations to limit these developments and to enhance global IT security by disclosing vulnerabilities are currently being discussed on the international level, these efforts are hindered by state concerns about the disclosure of unique knowledge and about giving up tactical advantages. This leads to a situation where multiple states are likely to stockpile at least some identical exploits, with technical measures to enable a depletion process for these stockpiles that preserve state secrecy interests and consider the special constraints of interacting states as well as the requirements within such environments being non-existent. This paper proposes such a privacy-preserving approach that allows multiple state parties to privately compare their stock of vulnerabilities and exploits to check for items that occur in multiple stockpiles without revealing them so that their disclosure can be considered. We call our system ExTRUST and show that it is scalable and can withstand several attack scenarios. Beyond the intergovernmental setting, ExTRUST can also be used for other zero-trust use cases, such as bug-bounty programs.