Reviewerly/exHarmony huggingface dataset:
Innovation of Intelligence Teaching Model for the Improvement of Normal School Students on Wisdom Literacy

In order to study the teaching mode to improve the intelligence literacy of normal students, promote the effective reform and innovation of the teaching mode, and improve the teaching quality and efficiency of normal universities, this paper first analyzes the characteristics of the existing precision wisdom teaching mode, then outlines the teaching mode to improve the intelligence literacy of normal students, and then analyzes the innovation principles of the teaching mode to improve the intelligence literacy of normal students, Finally, based on the perspective of big data, in order to improve the wisdom teaching quality of normal university students, several strategies for innovating relevant wisdom teaching models are proposed, aiming to meet the students' personality and diversified learning needs, promote the high-quality development of teaching models in normal universities, and provide reference for relevant personnel.
A Two-Step Process for Analysing Teacher’s Behaviors Using a Scenario-Based Platform

In this paper, we present research aiming to understand usage behaviors of elementary school teachers when using a scenario-based platform dedicated to the teaching of Computational Thinking concepts. In order to understand their behavior, we have defined a two-step analysis process to identify usage patterns on the platform. The first step consists of performing a clustering algorithm and the second one consists of characterizing each obtained cluster by a pattern mining algorithm. On the one hand, the k-means algorithm allows us to identify four significant clusters of teachers using the platform. On the other hand, the sequential pattern mining algorithm allows to characterize precisely the usage behaviors of each cluster. Thus, this two-step analysis process was evaluated with teachers data. We carried out an experimental study during two workshops with 29 teachers. Teachers interaction’s data were collected from ScenoClasse, resulting in a data-set of 498 traces. As a result, we identify different usage behaviors for teachers while using ScenoClasse. Based on their behaviors, teachers can be adapters, explorers, viewers, or beginners.
Untwining multiple parameters at the exclusive zero-coincidence points with quantum control

Abstract In this paper we address a special case of ‘sloppy’ quantum estimation procedures which happens in the presence of intertwined parameters. A collection of parameters are said to be intertwined when their imprinting on the quantum probe that mediates the estimation procedure, is performed by a set of linearly dependent generators. Under this circumstance the individual values of the parameters can not be recovered unless one tampers with the encoding process itself. An example is presented by studying the estimation of the relative time-delays that accumulate along two parallel optical transmission lines. In this case we show that the parameters can be effectively untwined by inserting a sequence of balanced beam splitters (and eventually adding an extra phase shift on one of the lines) that couples the two lines at regular intervals in a setup that remind us a generalized Hong-Ou-Mandel interferometer. For the case of two time delays we prove that, when the employed probe is the frequency-correlated biphoton state, the untwining occurs in correspondence of exclusive zero-coincidence (EZC) point. Furthermore we show the statistical independence of two time delays and the optimality of the quantum Fisher information at the EZC point. Finally we prove the compatibility of this scheme by checking the weak commutativity condition associated with the symmetric logarithmic derivative operators.
RISK FACTORS AND IMPACT OF FINANCIAL FRAUD ON OLDER ADULTS AND DISADVANTAGED COMMUNITIES

Abstract In 2021, Americans age 80 and older reported median fraud losses of $1,300 per incident, substantially higher than younger age groups (Federal Trade Commission, 2022). Using data from the Federal Trade Commission’s Sentinel Fraud Complaint Database and the Area Deprivation Index, this study assesses the demographic and contextual correlates of consumer fraud victimization in the United States. Models show a positive association between living in a disadvantaged community and reporting victimization (versus reporting no losses after being targeted). Black and Hispanic consumers are significantly more likely report victimization, although non-Hispanic White victims report higher average fraud losses. Results also show that older adults are significantly less likely to report fraud victimization relative to people age 30 and younger, but older victims lose hundreds of dollars more, on average. Applying a sentiment analysis to the consumer complaint narratives, we find that compared to emotionally neutral complaints, emotionally positive and emotionally negative complaints are positively associated with reporting victimization versus reporting no losses. Gift cards are the most common method of payment demanded by fraud criminals overall, but victims who pay using cash, wire transfer, or cryptocurrency lose significantly more money, on average. To limit the impact of fraud on the aging population, consumer protection agencies need to focus their efforts on educating older adults and members of socially and economically disadvantaged communities about scams, as well as enforce greater controls on cryptocurrency exchanges and retail gift card sales.
Visualizing Multimorbidity in Chronically Ill Populations Using UpSet Plots

To the editor: We read with great interest the recent article in this journal by Dreisbach et al. in which they analyzed and clustered unrelieved symptoms in patients with one or more chronic conditions.1 In particular, Figure 1, Panel A, which illustrates the overlap of chronic conditions, caught our eye. We would like to use this as an opportunity to point out a novel and innovative approach to visualize intersecting sets which we find particularly useful for illustrating multimorbidity in chronically ill populations.
Sistem Informasi Geografis untuk Pemetaan Lokasi Rumah Tahfidz Qur’an

Rumah Tahfidz Qur'an is an alternative for people, especially parents who want to educate their children to be able to read the Qur'an. However, the lack of knowledge and community about the location of some third qur'an houses, makes people only include their children in locations throughout the house. This study aims to create a geographic information system to map the location of the Rumah Tahfidz Qur'an, especially in the city of Tanjung Balai. Waterfall is a model used in this study with analysis, design, implementation, and testing, as well as maintenance. The analysis stage was carried out by collecting data on the location of the Rumah Tahfidz Qur'an by observation and interviews. The design used consists of, use case-diagram, class diagram, and flowchart. Testing this system uses black box testing, which aims to see the functionality to the system. Our findings show that there are 41 locations of Rumah Tahfidz Qur'an in the Tanjung Balai city area. The system that we have created has succeeded in providing or mapping the location of the Rumah Tahfidz Qur'an quickly and accurately. In addition, all functional-based on black box testing on this system have been successful and without any errors. This system can be used by society as an information medium in finding the location of the Rumah Tahfidz Qur'an in the Tanjung Balai Kota area.
In Memoriam: Mary Fromholz Haight, 1936–2022

AboutSectionsRequest Access ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked InEmail Go to Section HomeINFORMS Journal on Applied AnalyticsVol. 53, No. 1 In Memoriam: Mary Fromholz Haight, 1936–2022Michael F. GormanMichael F. GormanPublished Online:23 Dec 2022https://doi.org/10.1287/inte.2022.1153 Previous Back to Top Next FiguresReferencesRelatedInformation Volume 53, Issue 1January-February 2023Pages 1-95, iii Article Information Metrics Information Published Online:December 23, 2022 Copyright © 2022, INFORMSCite asMichael F. Gorman (2022) In Memoriam: Mary Fromholz Haight, 1936–2022. INFORMS Journal on Applied Analytics 53(1):2-4. https://doi.org/10.1287/inte.2022.1153 KeywordsmemorialobituarygratitudePDF download
Criteria for SLOCC and LU Equivalence of Generic Multi-qudit States

In this paper, we study the stochastic local operation and classical communication (SLOCC) and local unitary (LU) equivalence for multi-qudit states by mode-n matricization of the coefficient tensors. We establish a new scheme of using the CANDECOMP/PARAFAC (CP) decomposition of tensors to find necessary and sufficient conditions between the mode-n unfolding and SLOCC&LU equivalence for pure multi-qudit states. For multipartite mixed states, we present a necessary and sufficient condition for LU equivalence and necessary condition for SLOCC equivalence.
Literature Review of Harris Hawk Optimization Algorithm

The Harris Hawks Optimizer is a revolutionary population-based, nature-inspired optimization methodology proposed in this paper (HHO). The cooperative behaviour and pursuit manner of Harris' hawks in nature, known as surprise pounce, is the fundamental inspiration for HHO. Several hawks work together to pounce on a victim from different directions in an attempt to catch it off guard. Based on the dynamic nature of events and the prey's escape behaviours, Harris hawks can display a range of pursuit patterns. To design an optimization algorithm, this work mathematically duplicates such dynamic patterns and behaviours. On 29 benchmark problems and numerous real-world engineering challenges, the effectiveness of the proposed HHO optimizer is tested by comparing it to other nature-inspired approaches. The statistical results and comparisons show that the HHO algorithm provides very promising and occasionally competitive results compared to well established metaheuristic techniques. When compared to well-established metaheuristic techniques, the statistical results and comparisons reveal that the HHO algorithm delivers highly promising and occasionally competitive outcomes. Keywords: Swarm intelligence, Optimization, Metaheuristic, Harris hawks optimization method, Nature-inspired computing.
Cyber Crime Legislation in Pakistan: A Critical Analysis from Islamic Law Perspective

The advent of IT era has lightened our life but at the same time it has created various complex problems like regulatory issues and use of IT for criminal and other nefarious purposes by various anti-social elements. Regulatory issues related to the use of information technology require a legal framework and laws. In Pakistan, the latest and most comprehensive of these laws is the “Prevention of Electronic Crimes Act (PECA) 2016”. In fact, the subject of concern of this research work is understanding this law, its basic objectives, determining its effectiveness, and a critical analysis of the crimes and violations covered by this law in the light of Islamic law.
TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimation

In this paper, we present an algorithm for clustering multidimensional data, which we named TreeKDE. It is based on a tree structure decision associated with the optimization of the one-dimensional kernel density estimator function constructed from the orthogonal projections of the data on the coordinate axes. Among the main features of the proposed algorithm, we highlight the automatic determination of the number of clusters and their insertion in a rectangular region. Comparative numerical experiments are presented to illustrate the performance of the proposed algorithm and the results indicate that the TreeKDE is efficient and competitive when compared to other algorithms from the literature. Features such as simplicity and efficiency make the proposed algorithm an attractive and promising research field, which can be used as a basis for its improvement, and also for the development of new clustering algorithms based on the association between decision tree and kernel density estimator.
The Axiology Aspect should be Encouraged, Not the Jargon as Kampung Inggris Sawai

The Kampung Inggris study aimed to pinpoint distinctive features of the conceptual and methodological underpinnings of the English course. This article's chronology was primarily based on information on incentives for community service in Sawai village and the inability that preceded the service. It was demonstrated that the expansion of organizations that provide English language courses was not only reliant on the objectives and linguistic skills of the initiator.
Symmetries In Classical Music. From Guillaume de Machaut to Cesar Franck

Reflection, translation, rotation are terms frequently used in mathematics and generally associated with the sense of sight: we can use tiles or stained glass to clarify these concepts, but it is possible to exemplify the same concepts using the sense of hearing. In the first case the x and y coordinates of the plane are, for example, the width and height of a stained-glass window, in the second case the variables are respectively time and sound height, but instead of vision, we need hearing and memory to recognize the symmetry. Musicians and composers are aware of these con- cepts and use them with rigor and ingenuity. We present several musical examples from different eras, analysing compositions ranging from Guillaume de Machaut (14th century) to Cesar Franck (19th century), through Mozart's joviality and Bach's genius (18th century).
MEANS TO STIMULATE PROFESSIONAL ACTIVITY OF FUTURE TEACHER

The mechanism that provides the constant self-development and self-improvement of a teacher is an effective system of stimulating their activity. To stimulate professional development of teachers, an individual motivation should be identified and taken into account. The reward system based on flexible rewarding mechanisms can become a significant factor for the most teachers that influence the aspiration to activity developing professional competence.
Fake News Article classification using Random Forest, Passive Aggressive, and Gradient Boosting

Because of the exponential expansion of knowledge available on the internet, it is becoming impossible to decipher Real News from false News. Thus, this contributes to the spread of false information. Many dangerous fake accounts have been created recently, and these accounts distribute false information via posts, blogs, etc. across social media. Some people spread this false information without being aware of its falsity. In this proposal, we proposed a model to identify the fake news spreading on social media. To accomplish this model, we collected the dataset named “NEWS” from the Kaggle depository. Machine learning algorithms such as Random Forest, Passive Aggressive, and Gradient Boosting were used to Classify Real News and Fake News from News Articles. The passive Aggressive Algorithm gave better accuracy than the other two Algorithms used in this work.
ABOUT THE ROLE OF THE PERSONALITY IN SCIENCE (TO THE 100TH ANNIVERSARY OF ACADEMICIAN OF RAE G.N. FILONOV)

The article presents the life path of the famous scientist in the context of the formation of his personal and profes- sional qualities, analysis of situations that influenced the choice of the path and formation in science, scientific heritage as a potential for future research, especially the attitude to social and pedagogical problems, people in science and their students.
Study on Under-constrained Cable-driven Window Cleaning Robot

Safer measures are required for work at height where humans are suspended from a rope in order to reduce the number of fatal and injury accident. In this study, we developed and tested a robot that can work at heights on the wall of a building in place of a human. We have constructed an under-constrained cable-driven window cleaning robot for portability. In order to solve the lack of pushing force of cleaning tools at the lower floor of the building, electrical ducted fans are installed to compensate for the pushing force.
Optimizing the Working Environment of Auto-routing and Obstacle-avoiding Robot Based on Simulink

Automatic sweeping robots gradually come into people's life. These robots can automatically find the way forward and complete the sweeping task at the same time. It is found that the floor sweeping robot will get stuck in a corner or cannot get out when it enters a blind angle. The main purpose of this work is to improve the action mode of the robot and its working environment. Using Simulink in MATLAB as the main body of the simulation, an environment is built to simulate the work of the auto-routing robot. Through randomly generated different mazes, the working status of the robot in different environments is simulated, the probability of Karton between the improved environment and the robot is compared, and the main factors affecting the robot's abnormal operation are analyzed. When the robot is able to move with a smaller turning radius and length of motion, a smoother and more stable gait track can be presented with a shorter path if the maze track has enough width and the wall is thick. By controlling these factors, people can directly and accurately optimize the working environment of the robot. This is one of the key operations to improve the working environment of this kind of self-seeking and obstacle-avoiding robot and to give them a suitable working environment.
A Study of a System that Reduces the Burden of Expressing Opinions by Gradually Changing the Face of the Dialogue Partner

When the relationship between users is shallow, it is considered to be a mental burden to deny the opinions of the other party or to express one’s requests. In order to reduce this burden, systems such as anonymous messaging systems can be used. However, it is likely to remain difficult to express opinions in situations where these systems cannot be used. In order to solve this problem, we make a hypothesis that characteristics in which users are able to feel intimacy for interlocutor enable users to express their opinions to the interlocutor. Based on this hypothesis, we propose a system that reduces the burden of expressing one’s opinion by replacing the user identification information such as a face with other information, then gradually restoring it according to the depth of the relationship. In this system, the user feels familiar replaces it with a part of the information for user identification among the information of the dialogue partners. This system is expected to enable users to express their opinions to a certain extent even to those with whom users have a relatively short relationship. In this paper, as an initial study of this research, we report on the construction of a chat system that focuses on faces, synthesizes the faces of the other party and the user, and restores the original information to the other party’s face step by step as the user communicates with each other.
PERANCANGAN SISTEM INFORMASI STOCK OPNAME BERBASIS WEB PADA UMKM ILHAMUM-TAZA

UMKM (micro, small and medium enterprises) Ilhamum-Taza is engaged in the production and sale of tempeh chips and peanut brittle which is one of the souvenirs from Jambi. MSME Ilhamum-Taza manages records in the form of stock items that are still manual, so that the recording of goods is not yet effective and efficient. So in order to be more optimal, it must use a web-based inventory information system and use the FIFO (first in first out) method. The development of this web-based stock information system uses the waterfall model and the data flow model using DFD (Data Flow Diagrams) and databases. This research and design produces a stock taking information system that will be implemented in Ilhamum-Taza.
Salvatore Martirano (1927–1995)

Holm-Hudson places the interview while Martirano was developing his Sal-Mar synthesizer, and notes musical ideas raised in its construction. Childs and Martirano discuss his improvisation group; how problems with live performance led to the genesis of the Sal-Mar; technical problems in its development; how it has changed Martirano’s approach to music as sound; his past works (Underworld, Ballad, L’s G.A., Cocktail Music); the University of Illinois and virtuoso performers; listening, hearing and the repeatability of performances; the process of composition; and the product. Martirano wants to move speakers around instead of static antiphony. They discuss human control against predetermined machine control; clichés; the distribution of sounds and solo and accompaniments in the new work; live performances and recordings.
Analysis of the application of Huaihe River Basin folk culture to the construction of beautiful village culture wall from the perspective of rural revitalization

Our country vigorously implemented the "rural revitalization strategy", let the people have a higher sense of happiness, under the corresponding national call, the society has higher attention to the folk culture application of beautiful rural culture wall construction. We deeply explore and excavate the folk cultural elements of the Huaihe River basin, and according to the actual requirements of building a new socialist countryside, combined with the excellent traditional folk culture of the Huaihe River basin, as well as the excavation of the profound folk culture of the Huaihe River basin, explore the rich resources of the Huaihe River basin. The folk-art elements such as Hua-Gu-deng art, Sizhou opera, Lingbi Zhong-Kuo painting, Feng-yang-feng painting are applied to the construction of the folk culture wall in the Huaihe River basin. Link theory to practice, let the paper written on the yellow soil. Hope to make a contribution to the construction of rural charm culture wall; To stimulate the Huaihe River basin folk culture and art construction to make a contribution; To contribute to the building of a socialist society with Chinese characteristics.
THE TECHNOLOGY OF FORMING CRITICAL THINKING AS A MEANS OF OVERCOMING XENOPHOBIA AND INTOLERANCE AMONG YOUNG PEOPLE

In the article the author reveals the relevance of critical thinking development in the context of growing information chaos in the Internet space and other information channels, as well as in the context of growing interethnic and social tension. The article describes the technology for the formation of critical thinking among university students: its stages, methods, techniques and means proposed by the author. The results of a survey among students of Kazan In­ novative University named after V.G. Timiryasov, aimed at identifying the ability to think critically, are presented.
Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin?

As in many other research domains, Artificial Intelligence (AI) techniques have been increasing their footprint in Earth Sciences to extract meaningful information from the large amount of high-detailed data available from multiple sensor modalities. While on the one hand the existing success cases endorse the great potential of AI to help address open challenges in ES, on the other hand on-going discussions and established lessons from studies on the sustainability, ethics and trustworthiness of AI must be taken into consideration if the community is to ensure that its research efforts move into directions that effectively benefit the society and the environment. In this paper, we discuss insights gathered from a brief literature review on the subtopics of AI Ethics, Sustainable AI, AI Trustworthiness and AI for Earth Sciences in an attempt to identify some of the promising directions and key needs to successfully bring these concepts together.