Reviewerly/exHarmony huggingface dataset:
The Effect of Remote Learning on College Students

The effects of the novel coronavirus are being felt in different sectors.Apart from being a life-threatening virus that has killed many people, COVID-19 has significantly disrupted the education sector.Guided by the containment measures adopted by different countries to reduce the spread of this killer pandemic, many learning institutions have suspended in-person studies, and lessons are now being offered on various online platforms.Despite being vital in reducing the spread of COVID-19, shifting to remote learning has had its fair share of pros and cons.The adoption of the new curriculum instruction techniques caused by the outbreak of COVID-19 has created new schedules, changed the interaction among college students, and led to the adoption of new testing strategies.In effect, this paper examined literature from the current empirical studies to determine the pros and cons of online learning on college students.Results from this review indicated that remote learning has been advantageous because it saves time, is more flexible, has reduced anxieties among students, and has enabled students to develop greater problem-solving skills.On the contrary, the literature reviewed in this paper indicated that remote learning is disadvantageous because it has eliminated psychical interaction, thus leading to boring classes.Additionally, remote learning has been problematic to some professors who are not conversant with modern technology and has been affected by constant destruction.Regardless of these negative effects of remove learning, the research concluded that remote learning remains the only workable teaching and learning methodology in the COVID-19 era.
University Campus Architects and Their Influences from the Perspective of Bibliometrics

With the development of high-tech, digital cities and other information means, higher education is an important part of modern talent training. The construction of higher education is also related to the university system, the construction of university campuses, and the connotation of university culture. Therefore, the construction of university campuses has long been an issue of academic concern. Therefore, the influence of university campus architects also provides a good environment for university campus construction and university culture and provides a new research direction for higher education campus architecture. This paper uses CiteSpace software and Web of Science visual analysis platform to conduct text mining and visual analysis of the existing literature in the international Web of Science academic database and plot the number of published papers, subject distribution, and frequent citations of "University Campus Architect Research". A knowledge graph of literature and research hotspots, research topics, and research trends. Combing the current research status of University Campus Architect, we hope to provide theoretical support for further research on improving higher education campus construction and the frontier dynamics of academic research.
Ideas for Increasing Creativity in Teaching by Using the Art of Language to Make Relatively Boring Classes More Entertaining

Education has always been a highly debated and controversial topic among experts.Law study in all studied areas was especially hard because the law is serious and sometimes cannot be joked about.There are limited ways to make it more attractive to learners, and there are almost no special tricks in law study, which makes students easily countering difficulties in law studies.This paper focuses on a law study teacher named Luo Xiang, who was made extremely famous on the Chinese internet with his teaching of law studies.And I offer an outline of his teaching styles on law studies, as education needs to follow with time and fashion to keep the students' attention.And the body paragraph of this paper uses cited transcripts.Various works are cited with examples from one of Professor Luo's MOOC videos to analyze the teacher's teaching methods in Language, pitch and tone when he speaks and teaches.The example applications were created to better illustrate his teachings to his fellow students who watch his uploads.And I investigate why his teaching being so fascinating to young people.The teacher mainly teaches in MOOCs, and all his teaching is on video, less interactive may see but only on bullets screens which are lines and lines of word flies through the screen that viewers typed in.Most of these bullet screens were the students' expressions of emotion presented on them.However, his teachings languages are interesting to examine and dig in for further research and study.
Scene Interpretation Method using Transformer and Self-supervised Learning

Ability to understand surrounding environment based on its components, namely objects, is one of the most important cognitive ability for intelligent agents. Human beings are able to decompose sensory input, i.e. visual stimulation, into some components based on its meaning or relationships between entities, and are able to recognize those components as “object ”. It is often said that this kind of compositional recognition ability is essential for resolving so called Binding Problem, and thus important for many tasks such as planning, decision making and reasoning. Recently, researches about obtaining object level representation in unsupervised manner using deep generative models have been gaining much attention, and they are called ”Scene Interpretation models”. Scene Interpretation models are able to decompose input scenes into symbolic entities such as objects, and represent them in a compositional way. The objective of our research is to point out the weakness of existing scene interpretation methods and propose some methods to improve them. Scene Interpretation models are trained in fully-unsupervised manner in contrast to latest methods in computer vision which are based on massive labeled data. Due to this problem setting, scene interpretation models lack inductive biases to recognize objects. Therefore, the application of these models are restricted to relatively simple toy datasets. It is widely known that introducing inductive biases to machine learning models is sometimes very useful like convolutional neural networks, but how to introduce them via training depends on the models and is not always obvious. In this research, we propose to incorporate self-supervised learning to scene interpretation models for introducing additional inductive bias to the models, and we also propose a model architecture using Transformer which is considered to be suitable for scene interpretation when combined with self-supervised learning. We show proposed methods outperforms previous methods, and is able to adopt to Multi-MNIST dataset which previous methods could not deal with well.
TRACE METALS ACCUMULATION IN CRUSTACEAN COPEPODS FROM THE COCHIN ESTUARY, KERALA, INDIA

Concentrations of trace metals like iron (Fe), nickel (Ni), zinc (Zn), copper (Cu), chromium (Cr), manganese (Mn), cadmium (Cd) and lead (Pb) were estimated in Copepods that collected during the period of February 2017 to January 2018 from the Cochin Estuary.The concentration of trace metals in Copepods showed significant spatial and seasonal variations.The average concentration of trace metals in Copepods were found to be in the decreasing order: Fe > Zn > Mn > Cu > Ni > Cr > Pb > Cd.Correlation analysis revealed a strong positive affinity between the most of metals analysed in Copepods.
Effects of Family Health of Elderly People in Rural Areas on Their Preparation for Old Age -Focused on the mediating effect of self-efficacy-

This study examines the family health of elderly people in rural areas, their preparation for old age, and their self-efficacy.Furthermore, it aims to suggests measures for the elderly's preparation for old age in rural areas of an aging society.The subjects were 550 elderly men and women aged 60 and over living in rural areas in Gangwon-do.The measurement tool of this study consisted of physical, economic, emotional, and leisure activities as sub-factors of preparation for old age.Family health was defined as family resilience, mutual respect, strong bonds, economic stability, and family culture.Also, self-efficacy was composed of social efficacy, self-acceptance, and self-fulfillment.The main findings of this study are as follows.First, family health was found to influence self-efficacy.Second, selfefficacy has an effect on preparation for old age.Third, family health has an effect on preparation for old age.Fourth, self-efficacy showed an indirect mediating effect when family health had an effect on preparation for old age.As such, the family health and self-efficacy of the elderly in rural areas are important factors influencing their preparation for old age.According to the results of this study, it was found that it acts as an important factor for improving family health, self-efficacy, and preparation for old age of the elderly in rural areas.It also suggests the need for economically helpful job creation in the process of developing an education program for senior citizens to enhance self-efficacy among the elderly in rural areas and increasing their preparation for old age.Therefore, the results of this study is intended to help in preparing elderly welfare programs and services in rural areas as a policy and action plan to enhance self-efficacy to increase family members' preparation for old age.
Retraction: Arduino enabled IoT based Smart Shopping Trolley (J. Phys.: Conf. Ser. 1916 012203)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
Retraction: Multiview 3D detection system for automotive driving (J. Phys.: Conf. Ser. 1916 012046)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
Construction of a Teaching Mode Combining WeChat Platform with Practical Training Classroom Under the OBE concept

Secondary school training courses affect students' technical skills and career plans, but students have a single way of acquiring resources and quality educational resources are not reasonably used.Students faces serious challenges and student can't adapt well to the demand for skilled talent in the job.Through the trial of "Internet + training class", the Outcome-based educational concept was integrated into the training education.With the WeChat platform as a carrier and product output as an orientation, student-centric organizations and supported education allow students to truly learn knowledge and achieve step-by-step results in the course of hands-on practice.The above measures also help students become more interested in learning, develop a sense of learning, and acquire practical skills for future employment.
Four-qubit states generated by Clifford gates

The Clifford group is the set of gates generated by controlled not (CNOT) gates and the two local gates [Formula: see text] and [Formula: see text]. We will say that an [Formula: see text]-qubit state is a Clifford state if it can be prepared using Clifford gates, this is, [Formula: see text] is Clifford if [Formula: see text] where [Formula: see text] is a Clifford gate. In this paper, we study the set of all 4-qubit Clifford states. We prove that there are 293760 states, each of which has entanglement entropy equal to 0, [Formula: see text], 1, [Formula: see text], or [Formula: see text]. We also show that any pair of these states can be connected using local gates and at most 3 CNOT gates. We also study the Clifford states with real entries under the action of the subgroup [Formula: see text] of Clifford gates with real entries. This time we show that every pair of Clifford states with real entries can be connected with at most 5 CNOT gates and local gates in [Formula: see text]. To understand the action of the 12 different CNOT gates, we partition the Clifford states into orbits using the equivalence relation: two states are equivalent if they differ by a local Clifford gate. We label each orbit in such a way that it is easy to see the effect of the CNOT gates. Diagrams and tables explaining the action of the CNOT gates on all the orbits are presented in the paper. The link https://youtu.be/42MI6ks2_eU leads to a YouTube video that explains the most important results in this paper.
Using of mobile technologies at computer science lessons in blended learning

The article covers the experience of using mobile technologies at computer science lessons at general secondary schools in blended learning. It has been found that the development of digital society is helping to improve both digital technology and students' ability to use it. Therefore, the using of mobile devices at the lessons is possible and sometimes necessary, especially in the conditions of poor computer technology at schools. Blended learning combines different forms and methods of teachers` and students` work and minimizes existing technical and technological problems. During the experimental work it was found that the main means of implementation of mobile learning at the lessons is a smart phone that permits you to surf the Internet, to listen to audio, to watch videos, photos, multimedia files, to work with a lot of business, educational and game applications, and the students are quite easy adapt to mobile technologies. The ways of using mobile technologies at computer science lessons during preparation before the lesson, at the lesson and after the lesson were identified as additional creative tasks. In the conditions of organization of educational process on the basis of blended learning, the technologies of «Flipped Classroom» and «Station Rotation Model» have proven to be the most effective. The authors provide examples of ready-made information resources that can be used at the lessons, but they note that the teacher should analyze the material of the web space for the sake of science, logic and adaptation to the age features of students carefully. Experience in conducting lessons of using mobile devices has helped authors to identify some details in their preparation and realization. So, the video material that offered by the teacher for home study should be up to 10 minutes, and should be asked questions to look for clarifying information or interactive tasks to focus students on viewing. And in the process of conducting lessons using of mobile devices, is appropriate for group work, testing, solving practical problems using cloud technologies.
Deteksi Penyakit Covid-19 Pada Citra X-Ray Dengan Pendekatan Convolutional Neural Network (CNN)

The Coronavirus (COVID-19) pandemic has resulted in the worldwide death rate continuing to increase significantly, identification using medical imaging such as X-rays and computed tomography plays an important role in helping medical personnel diagnose positive negative COVID-19 patients, several works have proven the learning approach in-depth using a Convolutional Neural Network (CNN) produces good accuracy for COVID detection based on chest X-Ray images, in this study we propose different transfer learning architectures VGG19, MobileNetV2, InceptionResNetV2 and ResNet (ResNet101V2, ResNet152V2 and ResNet50V2) to analyze their performance, testing conducted in the Google Colab work environment as a platform for creating Python-based applications and all datasets are stored on the Google Drive application, the preprocessing stages are carried out before training and testing, the datasets are grouped into theNormal and COVID folders then combined m become a set of data by dividing them into training sets of 352 images, testing 110 images and validating 88 images, then the detection results are labeled with the number 1 means COVID and the number 0 for NORMAL. Based on the test results, the ResNet50V2 model has a better accuracy rate than other models with an accuracy level of about 0.95 (95%) Precision 0.96, Recall 0.973, F1-Score 0.966, and Support of 74, then InceptionResNetV2, VGG19, and MobileNetV2, so that ResNet50V2-based CNNs can be used as initial identification for the classification of a patientinfected with COVID or NORMAL.
The Memory Shuffle

Articles in this special issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Design&amp;Test</i> describe ways in which computation can be moved closer to memory to improve throughput and reduce power. As is so often the case, evolution has beaten us to it. The article by Staudigl and Ejlali notes that our brains have computation and storage integrated into our neurons. The architecture in our heads is not split into memory and functional units. You will not find a data bus inside your skull.
The Non-Malicious Risky Behavior in the Enterprise Information System Security

Focus on insider threats to organization information system assets primarily lays an emphasis on malicious security incidences. The practice comes to no surprise as the intentional destructive behavior typically makes headlines. However, non-malicious and often unintentional employee actions are also equally damaging. Therefore, in this chapter, we examine the human and organizational factors that trigger or motivate non-malicious inside actors to engage in risky behaviors. Regression analyses using 2,000 bootstrap samples suggest that the 85 middle managers surveyed are likely to engage in non-malicious risky behaviors when such action is reasonably expected from other co-workers and can improve the quality of their outputs. This is regardless of how the job performance is evaluated and the level of the complexity of the organization information system.
An Analysis of the Flipped Classroom Based on the Bloom’s Taxonomy of the Educational Objectives

This study utilizes the flipped classroom approach in conjunction with Bloom's taxonomy.Through a series of literature reviews, the author evaluates the merits and downsides of the flipped classroom.This article proposes a method that combines Bloom's taxonomy of instructional goals and flipped classrooms to address instruction problems.This article starts with flipped classroom's history and application.It continues Bloom's taxonomy research and investigates the combination of the flipped classroom and Bloom's taxonomy.The findings show that the flipped classroom has several drawbacks.To begin, its inconsistency arises from the variety of course categories; Secondly, instructors cannot get immediate feedback when producing the pre-class study material.Thus, measures to these shortcomings should begin with curriculum design and effective instructor-student interaction.According to the results, educators must improve their ability to engage students and alter their design of classroom activities.Teachers must do various additional tasks, including guiding, encouraging, and diverting traditional teaching methods toward more constructive learning programs.
Construction of A Mobile Learning Environment Based on Complex Network

Fragmentation Learning based on intelligent mobile terminals can generate a large amount of mobile learning trajectory data, and the network formed by these mobile terminals is a very complex network. This paper researched the construction of a mobile learning environment based on complex network, in the hopes of providing a new idea for solving problems in the learning information dissemination of mobile terminals and the integration of mobile learning resources. In the beginning, this paper introduced the concept and features of complex network for mobile learning in the context of an English fragmentation learning environment, built a learning information dissemination model, and proposed an immune strategy under the conditions that terminal nodes won’t perform similar repeated learning after completing mobile learning. Then, the paper elaborated on the construction process of a mobile learning environment based on keyword co-occurrence, and established the keyword co-occurrence adjacency matrix and weighted matrix. In the end, experimental results proved the accuracy and usability of the proposed strategy.
A Study on Gender Difference of High School Students’ Ability in Literature Appreciation under Emotional Education System

Past studies and previous research have shown that gender difference is an important factor for affecting students' achievements.Nevertheless, the gender difference in the literature appreciation ability of high school students has been rarely concerned.This study is seeking to examine whether gender difference exists in literature appreciation ability by analyzing 117 senior-three students from M school -44 female students and 73 male students.In this research method, arithmetic mean and t-test are quantified for whether there's a literature appreciation ability's gender difference in mathematics and statistics.Furthermore, the standard deviation is used to see which gender group's ability fluctuates more.For results, it shows that there is a mathematical and statistical significance in genders' literature appreciation abilities, and female students showed greater ability than male students in literature appreciation.Nevertheless, female students' literature appreciation scores fluctuated more than those of male students.Limitations, implications, and future directions of the research are also discussed in this study.