Reviewerly/exHarmony huggingface dataset:
Evaluation of the distance education experience (Rawdati platform) in light of a pandemic Corona from the point of view of kindergarten teachers and parents

Evaluate the experience Distance Learning (Rawdati platform) on kindergarten children during Corona pandemic: Perspective of the Teachers and Parents. This study aims to evaluate the experience of distance education (Rawdati platform) during the Corona pandemic from the point of view of kindergarten (65) teachers and (280) parents، as well as knowing the advantages and challenges. Mixed research method (quantitative and qualitative) ، a questionnaire and an interview were used to answer the study questions. One of the most important results is that kindergarten teachers and parents agree to a moderate degree on the success of the distance learning experience through the Rawdati platform. Another important result is the presence of statistically significant difference between the views of kindergarten teachers and parents، on evaluating the distance education experience, which is in favor of kindergarten teachers. The study also confirms that there are no statistically significant differences in the response of kindergarten teachers concerning the number of children in the class. Also، there are no statistically significant differences in the response of parents of children about the evaluation of the distance education experience level due to the gender variable and the educational level of the parents. The study also concludes with the most prominent advantages of distance education that distance education encourages children to use modern technology for self-learning and browsing for information. The most prominent challenges faced by kindergarten teachers and parents during distance education are the low level of child absorption in distance education. They also expressed the view that evaluation through the platform does not reflect the real level of the child such as the difficulty of accessing digital content in the (Rawdati) platform also (Rawdati) platform time is not appropriate for the family. The study also presents some recommendations and suggestions.
A Study on Mobile-assisted Language Learning over Two Decades

As technology and science developed, people have created different study modes to learn languages with the assistance of mobile devices. This study aims to find out the research trends, perceptions and existing problems toward mobile-assisted learning by analyzing relevant papers based on Web of Science and CNKI. It was suggested to complete theoretical system, enlarge the scale of the themes about language skills and implement teachers-oriented study.
Improved graph neural network-based green anaconda optimization for segmenting and classifying the lung cancer

&lt;abstract&gt; &lt;p&gt;Normal lung cells incur genetic damage over time, which causes unchecked cell growth and ultimately leads to lung cancer. Nearly 85% of lung cancer cases are caused by smoking, but there exists factual evidence that beta-carotene supplements and arsenic in water may raise the risk of developing the illness. Asbestos, polycyclic aromatic hydrocarbons, arsenic, radon gas, nickel, chromium and hereditary factors represent various lung cancer-causing agents. Therefore, deep learning approaches are employed to quicken the crucial procedure of diagnosing lung cancer. The effectiveness of these methods has increased when used to examine cancer histopathology slides. Initially, the data is gathered from the standard benchmark dataset. Further, the pre-processing of the collected images is accomplished using the Gabor filter method. The segmentation of these pre-processed images is done through the modified expectation maximization (MEM) algorithm method. Next, using the histogram of oriented gradient (HOG) scheme, the features are extracted from these segmented images. Finally, the classification of lung cancer is performed by the improved graph neural network (IGNN), where the parameter optimization of graph neural network (GNN) is done by the green anaconda optimization (GAO) algorithm in order to derive the accuracy maximization as the major objective function. This IGNN classifies lung cancer into normal, adeno carcinoma and squamous cell carcinoma as the final output. On comparison with existing methods with respect to distinct performance measures, the simulation findings reveal the betterment of the introduced method.&lt;/p&gt; &lt;/abstract&gt;
A rational resource allocation method for multimedia network teaching reform based on Bayesian partition data mining

&lt;abstract&gt; &lt;p&gt;In order to improve the application of teaching resources and reduce delays in the integration process of multimedia network, a rational resource allocation method for multimedia network teaching reform based on Bayesian partition data mining is proposed. Bayesian partition is used to preprocess the multimedia network teaching resources (MNTR), adjusting the recognition probability of MNTR in each partition based on its attributes. By performing Bayesian quantitative classification using samples of MNTR, the prior probability is adjusted through maximization analysis. The partitioned resources undergo sample data mining to obtain the data category collection of all MNTR. A prediction model is then built to forecast the demand for teaching resources at specific times in the future. MNTR can be rationally allocated based on the prediction results. Experimental results demonstrate that this method reduces delays in MNTR application and improves the accuracy and utilization of teaching resources.&lt;/p&gt; &lt;/abstract&gt;
Kombinasi Metode Multi-Attribute Utility Theory (MAUT) dan Rank Order Centroid (ROC) dalam Pemilihan Kegiatan Ekstrakulikuler

This study aims to select extracurricular activities using the MAUT method using ROC weighting, so that this helps in understanding the consequences of various choices and identifying alternatives that best suit the preferences and goals of decision makers. The results of the study using a combination of MAUT and ROC methods resulted in extracurricular activity recommendations obtained for Karate extracurricular activities with a value of 0.654 getting rank 1. 2nd place was obtained for Futsal extracurricular activities with a value of 0.362, 3rd place was obtained for Scouting extracurricular activities with a value of 0.327.
SCIENTIFIC FAILURE OF THE SCORE-RATING SYSTEM OF KNOWLEDGE ASSESSMENT

The article constates nontriviality of the task provided with assessing knowledge. Here we analyze the scales for measuring knowledge that have found practical application in various countries and reveal the evolution of measuring knowledge in our country. Finally, we prove the inconsistency of the methodology for assessing knowledge in a 100point scale, which has become widespread in the national higher school. Nontriviality of the task provided with knowledge assessment is explained by double subjectivity (the subjectivity of the student's mastering knowledge and the subjectivity of the assessment of this knowledge by the teacher), as well as a scanty selection of control questions in comparison with the total volume of a discipline’s educational material which is an object of control. Despite this, the established grade is required to reflect objectively (!) the degree of a student’s mastering in the entire knowledge arsenal of a controlled discipline. Here we analyzed some of scales for measuring knowledge. These are the 4point scale, used for a long time in our country: the 10point scale, used in the Netherlands, Italy, Spain and Romania; the 20point scale used in Greece, Peru, Belgium and France, and the most widely used 100point scale, which measures knowledge in the United States, Turkey, India, Egypt and modern Russia. All marked scales belong to the class of relative or ordinal ones, and their application consists in assigning to each student a fixed reference value, reflecting the level of his knowledge in the discipline being examined. Despite the fact that the reference values of the measuring scales are denoted by numbers, in fact they are not numbers and arithmetic operations cannot be performed on them. Unfortunately, this natural rule is often violated. Many participants in the educational process have wish to strengthen the ordinal scale and further objectify the grades. It has led to the synthesis of ornate methodological superstructures on ordinal scales, which often do not stand up to scrutiny. Domestic educational institutions were especially keen on this. From the standpoint of measurement theory, an analysis was made of the methodology for applying the 100point scale for measuring knowledge, which, with minor modifications, has been used by national universities since the very beginning of market reforms. The analysis showed that to assess the knowledge of students, the mentioned methodology uses three measuring scales: a 20point scale at intermediate certifications, a 60point scale during a test or exam, and a 100point scale when forming the final grade in the discipline. The article proves the theoretical inconsistency of the applied methodology and develops recommendations for overcoming it.
Precise Hamiltonian tomography in quantum circuits

We present a circuit-based approach for analyzing the measurement precision in Hamiltonian tomography via quantum quench.
Adaptive Phase Estimation with Squeezed Vacuum States near the Quantum Limit

We present a protocol for homodyne adaptive optical phase estimation with squeezed vacuum states. The protocol utilizes the complete detection record of the homo-dyne, and approaches the quantum limit for a wide range of phases.
Resolving Photon Numbers Using Ultra-High-Resolution Timing of a Single Conventional Superconducting Nanowire Detector

We show how ultra-high-resolution timing measurements of the rising and falling edges of electrical pulses generated from conventional superconducting nanowire detectors enable to distinguish photon numbers of up to 5 in a single-shot measurement.
A Versatile and Low-Error Polarization Encoder for Quantum Communications

In addition to stable, low-error and calibration-free polarization modulation, the iPOGNAC encoder can be promptly reconfigured for time-bin encoding, intensity modulation, and operations at different wavelengths. An overview of these applications and results is given.
Quantum hypothesis testing for exoplanet detection and spectroscopy

Detecting the faint emission of a secondary source in the proximity of the much brighter one has been the most severe obstacle for using direct imaging in searching for exoplanets. Using quantum state discrimination and quantum imaging techniques, we show that one can significantly reduce the probability of error in detecting the presence of a weak secondary source, even when the two sources have small angular separations. Similar techniques can be applied to perform atmospheric spectroscopy.
Comparative Study of Interpretable Image Classification Models

Explainable models in machine learning are increas- ingly popular due to the interpretability-favoring architectural features that help human understanding and interpretation of the decisions made by the model. Although using this type of model – similarly to “robustification” – might degrade prediction accuracy, a better understanding of decisions can greatly aid in the root cause analysis of failures of complex models, like deep neural networks. In this work, we experimentally compare three self-explainable image classification models on two datasets – MNIST and BDD100K –, briefly describing their operation and highlighting their characteristics. We evaluate the backbone models to be able to observe the level of deterioration of the prediction accuracy due to the interpretable module introduced, if any. To improve one of the models studied, we propose modifications to the loss function for learning and suggest a framework for automatic assessment of interpretability by examining the linear separability of the prototypes obtained.
Quantum-repeater cell based on free space coupled 40Ca+ ions

We demonstrate the implementation of a quantum repeater cell with photons from two free-space-coupled 40 Ca + ions. We generate asynchronous ion-photon entanglement and transfer it to photon-photon entanglement by a quantum gate and a measurement.
Classical Simulation of Quantum Teleportation

Teleportation is considered to be a uniquely quantum phenomena. This paper demonstrates that the teleportation of quantum states in optical experiments can be under-stood from a purely classical perspective.
Permodelan Sistem Informasi Pembelian dan Penjualan Berbasis Website

The purpose of designing a website-based system is to provide information and services easily and quickly. Users can quickly search for product, service, or other content information through an easy-to-use interface. The modeling of a website-based buying and selling information system is carried out by looking at sales transactions and purchases of goods that occur displayed in graphic form so that leaders can quickly find out the total number of buying and selling transactions that occur in the company. And the process of inputting sales and purchase data does not require manual recording as occurs in the procedures that have been running, so as to reduce errors in inputting sales and purchase data that will cause company losses. The results of testing the functionality of the system on the pages contained in the website-based purchase and sales information system model concluded that the test results were in accordance with the expected results in the black box testing questionnaire with a value of 100%.
Kontribusi Kebiasaan dan Lingkungan Belajar terhadap Hasil Belajar Matematika Di SMP Negeri 30 Batam Tahun Pelajaran 2019/2020

This study aims to analyze the extent to which study habits and learning environment contribute to the mathematics learning achievement of 8th-grade students at SMP Negeri 30 Batam in the 2019/2020 Academic Year. This research employs a correlational approach with a population of 346 8th-grade students at SMP Negeri 30 Batam and a sample size of 186 students. The sampling technique used is Simple Random Sampling. The instrument utilized in this study is a questionnaire. The research findings reveal several significant points: (1) There is a significant relationship between study habits and the learning achievement of 8th-grade students at SMP Negeri 30 Batam, with a contribution of study habits amounting to 86.67%; (2) The learning environment also holds a significant contribution to the learning achievement of 8th-grade students at SMP Negeri 30 Batam, with a contribution of 33.98%; (3) In this context, study habits and the learning environment together contribute 86.67% to the learning achievement of 8th-grade students at SMP Negeri 30 Batam. The resulting regression model is Y = 1.024X1 - 0.21X2 - 12.37, illustrating the relationship between study habits (X1) and the learning environment (X2) with students' learning achievement (Y).
Frictionless Linked Data

I was reminded of the importance of approachable, low-barrier-to-entry tools for data management by Monica Granados and Lily Zhao in their presentation of the Frictionless Data toolkit.&lt;sup&gt;1&lt;/sup&gt; They showcased use of a browser-based interface&lt;sup&gt;2&lt;/sup&gt; for a simple yet valuable task: associating title and description metadata with potentially cryptic column header names in a CSV file, and exporting that metadata together with the raw data
Just the Tip of Your Data Iceberg

I’ve heard the phrase “just the tip of the iceberg” used as a positive phrase when revealing value of which an audience might not have been previously aware. &lt;em&gt;just the tip of the iceberg&lt;/em&gt;: Only a small, often unrepresentative portion of something much larger or more complex that cannot yet be seen or understood.&lt;sup&gt;1&lt;/sup&gt; In the context of disseminating scientific data, this tip might be a publication.
Web-Based School Information System in Permata Hati Speacial School for Autism Manado

This research aims to design and develop a web-based school information system for Permata Hati Autistic Special School in Manado, North Sulawesi. This information system will be an effective means to convey information about school achievements, school activities, and student creativity to parents/guardians, as well as to provide an introduction to the wider community about children who are categorized as autistic. From this information system, the school will be able to easily provide information related to school achievements, activities, and student creativities to parents/guardians through a website that can be accessed via the internet. In addition, this system will also help schools in explaining to the wider community about the introduction of children who fall into the category of autism through the website provided. This research will limit the design of information systems to the education process of autistic children and school activities carried out at the Permata Hati Special Autistic School in Manado.
Demystifying China’s trade secrets law in action: a statistical analysis

This article attempts to conduct a detailed empirical study on trade secrets litigation in China. In a nutshell, using 33 coding criteria, this article studied 2810 judicial documents published between 2013 and 2021 related to trade secrets litigation. Of the 2810 documents, 745 concerned substantive trade secret issues, with 885 trade secret claims addressed by Chinese courts. The article mainly aims to fill two research gaps in the current literature. First, it is unclear whether, during the past two decades, China indeed provided inadequate trade secrets protection in practice because of its ‘defective’ statutes, as alleged by the US government. Empirical evidence is needed to test whether the previous US criticisms conformed with the working situation of China’s trade secrets litigation. Second, the enforcement level of trade secrets law in books in China remains a myth. The argument that China has adopted a strict trade secret law in books similar to the US has little practical value if China did not enforce the trade secrets law in practice. Empirical evidence is required to demystify the enforcement situation of trade secrets law. This article, thus, fills these two gaps by presenting empirical findings on trade secrets litigation from 2013 to 2021 in China.
Search Analytics

Search log analytics is a certain case of analytics that analyzes data from search logs. Using data stored in search logs of online search engines, Intranets search services, and online search sites can provide essential insights into understanding the information searching processes, needs, and tactics of people looking for information online. Understanding people’s searching behaviors can inform search information system design, search interface development, and search information architecture construction for online content collections. This chapter reviews the foundation for conducting search log analysis, where a basic understanding of search engines and searching behavior is assumed. The search log analysis methodology consists of three levels (i.e., collection, preparation, and analysis). These levels are presented in detail with discussions of the goals, metrics, and processes at each stage. Following this, the critical terms in transaction log analysis for online searching are defined. Suggestions are provided on leveraging the strengths and addressing the limitations of transaction log analysis for online searching research.
Data Preprocessing

This chapter provides a comprehensive overview of data preprocessing techniques and tools in the context of web and social media analytics. As data volume and complexity from various sources grow, effective data preprocessing becomes crucial for extracting valuable insights and knowledge. This chapter covers vital steps in data preprocessing, including characterizing data, reducing dimensionality, data transformation, and data enrichment and validation. By following these steps and utilizing appropriate techniques and tools, you can improve the quality of your data, enhance the effectiveness of your analytics efforts, and make better-informed decisions. Moreover, this chapter aims to equip you with the necessary knowledge to effectively tackle complex and noisy data, enabling you to unlock your organization’s full potential for data mining and analytics.
A Systematic Review on Machine Learning Algorithms for Customer Satisfaction Classification in Various Fields

Purpose: A variety of soft approaches have already been considered in relation to the growth of marketing. Problems related to customer satisfaction and retention have been studied earlier. The application of business intelligence, artificial intelligence, and data mining has a great impact on the development of business organizations. Customers are increasing day by day in every field, which is complicating the method of finding their satisfaction level. To find the best method to solve these complexities, advanced machine learning approaches can be used. This paper discusses a detailed literature survey of various approaches used to identify customer satisfaction and retention using customer logs in various fields. Design/Methodology/Approach: The details collected for this review paper were obtained by analysing and comparing different research articles from recognized resources. Objective: To find a research gap and appropriate solutions for customer satisfaction accuracy using machine learning approaches. Results/ Findings: Review of this paper gives a proper understanding of customer satisfaction in various domains using machine-learning approaches Originality/Value: The review of this paper gives an analysis of machine learning algorithms for customer satisfaction in various fields and suggests the importance of new classification models. Type of Paper: Literature Review.
Encryption and Tokenization of Card Security using Cryptographic Algorithms

There are several alternative strategies that can be used when utilising cryptography to encrypt card information. Encryption's main objective in this situation is to prevent sensitive card information from being intercepted and used fraudulently, including the card number, expiration date, and security code. Using SSL (Secure Socket Layer) or TLS (Transport Layer Security), which establishes a safe, encrypted connection between a website or app and the server where the card information is stored, is one popular method of encrypting card information. This is frequently used for online transactions, such as when paying with a mobile app or buying something from an e-commerce website. Using end-to-end encryption is an alternative strategy that guarantees that card information is encrypted from the time it is entered into a device, website, or app until it reaches its destination. This is frequently used with tokenization, which exchanges the sensitive card information for a singular token that can be safely kept and used for upcoming transactions without disclosing the actual card data. Additionally, a number of cryptographic protocols and algorithms, including AES (Advanced Encryption Standard), RSA (Rivest-Shamir-Adleman), and ECC (Elliptic Curve Cryptography), can be used to encrypt card information. These algorithms and protocols jumble the data using intricate mathematical computations so that it cannot be decoded without the right decryption key.