Reviewerly/exHarmony huggingface dataset:
Exploratory Investigation on the Discourse of 'China,' 'Mainland,' and 'Mainland China' in Science Education: A Case Study of One University by Taking Campusnography and Netnography as Methodology

This paper finds that the terms “China,” “Mainland,” and “Mainland China” do not produce sufficiently distinct distinctions among teachers and students today. The use of different words is more rooted in personal ideology than age, status, and other factors. In addition, in the interaction without obvious stance, the difference between those three words will not be deliberately distinguished. Through the development of Campusnography combined with Netnography, this research points out that universities in Taiwan today do not clearly distinguish the differences between “China,” “Mainland,” and “Mainland China” in science education, and the influence is stronger in differences of personal ideology than the environment and campus field.
The Platform Design of College English Teaching System Under Network Teaching

Network has become a part of the daily life of contemporary college students. It is necessary and useful to use network resources to develop college English network teaching platform. The platform design of College English teaching system under network teaching is a scientific teaching method. It aims to improve the quality of College Students’ language skills, which is very important for further learning and professional development. The main purpose of this research is to design a network-based system, which can be used in different types of colleges and universities to improve the teaching process. The proposed system will help teachers meet the needs of students, provide them with customized materials and assessment tools, and give them the opportunity to promote their ideas through forums.
Peran Mahasiswa dalam Penguatan Literasi Membaca di SD Negeri 173320 Siborutorop melalui Program Kampus Mengajar Angkatan 3

The teaching campus is one of the independent campus programs designed by the Ministry of Education, Culture, Research, and Technology. In practice, this program provides a mandate to students to be able to carry out learning to students that focuses on understanding literacy and numeracy. The main purpose of the campus teaching program is to provide opportunities for students to learn and develop themselves through activities outside of class lectures, to help schools provide optimal educational services for all students at the elementary level in limited and critical conditions during the pandemic and to provide optimal learning opportunities. to all students at the elementary level in limited and critical conditions during the pandemic. The special purpose of the class III teaching campus program in 2022 is that with the program design that we offer for SD Negeri 173320 Siborutorop, I can succeed in the independent campus program organized by the Ministry of Education and Culture, students have made real contributions as evidence of students also caring and play an active role in the success of the Kemendikbud program for the advancement of national education and make Indonesian students trained to serve, especially in the field of education, through this program students from all majors are free to serve, contribute and collaborate with teachers creatively and innovatively to advance literacy and numeracy in elementary schools State 173320 Siborutorop. The activities carried out while at SD Negeri 173320 Siborutorop were teaching activities, and helping teachers in strengthening reading literacy in schools.
Establishment of Financial Accounting Information Disclosure Model in the Era of Cloud Computing

The era of cloud computing is an era of information technology (it) everywhere. The IT industry has changed from centralized to open and distributed systems, and more than 50% of global business transactions are processed by Internet-based systems. In this new environment, accounting professionals face many challenges, such as data security, privacy protection, quality control and auditability. In addition to these traditional problems, there are also some new problems in this era, such as the responsibility of cloud computing service providers for financial reporting fraud or other illegal acts of their service users. The main purpose of establishing financial accounting information disclosure model is to help enterprises and organizations share their financial data with each other in a more convenient way. This will also enable them to make better decisions based on data obtained from others. What are the benefits of using cloud computing? The main benefit of using cloud computing is that it allows companies and organizations to save time and money by not having to maintain their own servers or computers.
Data Source Related Minimum Set Coverage Localization Differential Privacy Protection Algorithm

With the progress of data mining technology and a large number of data sharing, through the mining of information from multiple data sources, the risk of privacy disclosure caused by the data associated with sensitive data has greatly increased. This paper studies the problem of privacy disclosure in multiple data sources. Based on the existing privacy protection mechanism and combined with the set coverage problem, a new privacy protection mechanism sc-dp is proposed, and the availability of the algorithm is proved by experiments. The data source related minimum set covering location differential privacy protection algorithm is a data source related minimum set covering location differential privacy protection algorithm, which can be used to protect users’ sensitive information. The minimum set coverage location differential privacy protection algorithm related to data source is based on statistical technology, which uses maximum entropy as an important part of this technology. The output of this technique will be a binary string, one of which will indicate whether each input variable matches.
Intelligent Medical English Translation Method Based on Improved Attention Mechanism Model

Note that the research on the improved intelligent translation method of medical English based on mechanical device model is a translation system to improve the quality and understanding of medical English. This is helpful to improve the translation quality of medical literature and the accuracy of machine translation.The main objective behind this study is to develop an intelligent method to translate medical documents into other languages by using statistical techniques.
An intelligent cloud robotics personalized medicine system by assessment of DNA and electronic health records using fuzzy-based progressive alignment sequence (F-Pas)

Treatment and prevention in the standard approach are focused on statistical averages rather than the unique needs of each individual. The one-size-fits-all strategy is one of the conventional classification methods for treating and preventing people. Potentially replacing conventional trial-and-error therapy, personalized medicine could provide patient care with the best medications and the highest levels of safety. This strategy allows physicians to prognosticate the disease with high precision and suggest therapy and prevention approaches based on the patient’s health, personal information, and related groups. With the growth of artificial intelligence, several humanistic intelligent methods are intended to give services with better quality, like intelligent healthcare, emotional communication, and innovative systems. Cognitive cloud computing is the essential technology to drive above intelligent robotic system. In this paper, we introduced a framework to analyze the patient’s body nature using his DNA and Electronic Health Records (EHRs) and suggested the right drug at the right time with the proper dosage. Here, Cognitive computing plays a vital role in analyzing the DNA sequence and EHRs with a huge heterogeneous database. It enables the patient to receive earlier diagnoses, risk assessments, and optimal treatments, improving health care at a low cost. The F-PAS (fuzzy based progressive alignment sequence approach) is proposed for effective assessment of DNA and EHRs. The proposed system reduces the cost of computing for comparing all of the patients in the database by around 60%. The outcomes of the experiments demonstrate that the proposed framework minimizes computational costs and aids physicians in recommending the appropriate medication at the appropriate time and dosage.
Cyclic nonlinear interferometry with entangled non-Gaussian spin states

We propose an efficient nonlinear readout scheme for entangled non-Gaussian spin states (ENGSs) based on the intrinsic quasi-cyclic dynamics of interacting spin-1/2 systems. We focus on two well-known spin models of twist-and-turn (TNT) and two-axis-counter-twisting (TACT), where ENGS can be generated by spin dynamics starting from unstable fixed points. In the TNT model, non-Gaussian probe state evolves directly back to the vicinity of initial state during the subsequent time-forward evolution for path recombining, accompanied by quantum magnification of encoded signal and refocusing of the associated quantum noise. Based on low-order moment measurement, we find the optimal metrological gain nearly saturates the quantum Cramer-Rao bound (QCRB) and follows the Heisenberg scaling. For the TACT case, the QCRB can also be nearly approached when the state converges to either of the two unstable fixed points, respectively corresponding to the initial state or its orthogonal coherent state. The latter case goes beyond previous studies where tracing back to or crossing the initial states is mostly considered. The present protocol does not require time-reversal as in typical nonlinear interferometries, and it also avoids complicated measurement of nonlinear observables or full probability distributions. The operational approach we discuss presents a practical way for realizing high-precision and detection-noise-robust quantum metrology with ENGS.
Application of Information Technology to Education in the Age of the Fourth Industrial Revolution

The purpose of this study is to clarify the readiness and challenges of learning information technology, and the challenges of education in this fourth era in applying information technology to learning insights. That's it. As a driver of information technology for learning insights in Indonesia, Indonesia's willingness to face the challenges of the era 4th has made us a credible player in the field of education management to improve human resource management through education and analysts. The challenges of the fourth growth area will soon improve. Therefore, Indonesia's current educational administration policy prioritizes the use of digital technology and progress in educational informatics for her four-year-olds at all levels of education, especially in higher education institutions. Solutions that can be implemented include setting appropriate curricula and educational guidelines, preparing human resources to use information and communication technologies, optimizing student skills and personal development, and preparing for digital learning facilities and infrastructure.
Breast Masses Segmentation: A Framework of Skip Dilated Semantic Network and Machine Learning

Many medical specialists used Computer Aided Diagnostic (CAD) systems as a second opinion to detect breast masses. The poor visualization of mass images makes it difficult to identify precisely. To segment the lesions from the mammograms is a difficult task due to different shapes, sizes, and locations of the masses. The motivation of this study is to develop a method that can segment breast mass lesions from mammogram images. The objective is to perform the segmentation of the breast mass mammogram images more precisely at an early stage. Breast mass segmentation is always a basic requirement in computer-aided diagnosis systems. In this study segmentation of the masses abnormalities from the mammogram images is performed by using the Skipping Dilated semantic segmentation approach. The study uses class weights and Dilation factor using semantic Convolutional Neural Network (CNN). It overcomes the class misbalance in tumors and background class, that affect the mean Intersection over Union (MIOU), and weighted-IOU (WIOU) by using class weights. Secondly, dilation convolution magnifies the receptive field exposure that enriches the convolutional operation with context attentiveness. Two public datasets of mammography INbreast and CBIS-DDSM are used. The WIOU of Skipping Dilated Semantic CNN for INbreast is 98.51% and CBIS-DDSM is 94.82% achieved.
Google reveals quantum error correction advance

Martijn Boerkamp examines new work that could lead to fault-tolerant quantum computers.
186 Preventing and responding to a hack of a professional Facebook page

Krishona Martinson, Equine Extension Specialist at the University of Minnesota (UMN), established the UMN Extension Horse Facebook page in June 2010 to disseminate research-based information to horse owners and professionals. With Martinson as the owner, the page grew to over 25,000 followers and averaged an annual reach of 2.7 million people. In December 2022, hackers compromised Martinson's personal Facebook page, which was then disabled by Facebook, and gained ownership of the UMN Horse page. The goal of this abstract is to highlight the top 10 lessons learned, which can help others prevent and respond to a hack of a Facebook page. First, install 2-factor authentication. Martinson had not enabled this security feature because she was not comfortable sharing her contact information with Facebook. Second, use a passphrase instead of a password. Passphrases tend to be more difficult to crack due to their length. Third, delete unused social media accounts. The breach occurred when hackers connected Martinson's unused Instagram account to her personal Facebook page. Fourth, ensure the page has other administrators. Before the hackers removed all page administrators, the UMN quickly updated the page banner to notify followers of the hack, stopped all scheduled posts, and removed the branded profile photo to distance the UMN from any unwanted posts. Fifth, be aware of risks and have a plan. Martinson and the UMN page were likely targetssince she managed several Facebook pages and the UMN page had a sizable following. When planning, consider pulling metrics monthly and ensure content created specifically for Facebook (e.g., Live videos) is saved elsewhere so it is not lost if a hack occurs. Sixth, report the hack immediately to direct supervisors, your employers general counsel, and communications and cyber security teams. Seventh, change other account passwords that use the same email and the same or similar password. Eighth, as a precaution post-hack, remove page administrators who are also owners of other pages to reduce the risk of additional pages being hacked. Nineth, take screenshots of any unwanted posts or page changes. Proof of the hack is necessary when reporting to Facebook. Finally, complete as many Facebook forms as possible to report the hack. Martinson was able to file a trademark infringement report through Facebook but was unsuccessful in submitting other reports because her personal page was disabled. Despite efforts shared here, the UMN and Martinson's personal Facebook pages have yet to be recovered. We hope these tips will result in others being able to avoid a frustrating and disruptive Facebook hack or be more prepared when responding to one.
Explore the Significance and Effect of Modern Video Technology in Japanese Teaching

The article takes the significance and role of modern video technology in Japanese teaching as the research object. First, it briefly analyzes the significance of applying modern video technology in Japanese teaching, and then discusses the role of modern video technology in Japanese teaching. It also analyzes the applicability of different types of video techniques in Japanese teaching. Finally, some important points for the application of different types of video technology in Japanese teaching are put forward, hoping to provide a certain reference for related research.
Application of Online Learning Under Cloud Computing in School Enterprise Cooperation Mode

Accesses resources anytime and anywhere, and charges users according to user consumption. In the virtual resource pool, users can easily and quickly access resources without management and only need to communicate occasionally. In the past, users could not access resources. E-learning or online learning is not only the development trend of modern learning forms, but also the development trend of modern distance learning methods. This is because students are busy with daily learning, learning pressure is great, and the traditional education mode is popular. In contrast, the traditional teaching platform lacks enough flexibility, less interaction between teachers and students, lack of performance control means, and lack of the ability of network in-depth teaching. This paper studies the application of online teaching in the cooperation of higher education institutions.
Design of Computer-Aided Grading System for College English Translation Examination in Artificial Intelligence System

Translation examination has always been regarded as a kind of examination which needs much manpower and intelligence input. Traditionally, the translation examination in College English is evaluated manually. Based on the characteristics of large number of College English test participants and heavy workload of teachers, this paper starts with the research on the existing achievements of automatic evaluation of machine translation, This paper discusses the possibility of automatic evaluation of College English translation test by computer with the help of human and related implementation methods. The research object of this paper is to evaluate the translation part of the final examination conducted by the English teaching and Research Office of Peking University in undergraduate college English teaching, aiming at the problems such as the heavy workload of marking papers and the decline of accuracy due to fatigue. According to the characteristics of College English test, this paper proposes to use relevant software, tools and algorithms to realize the network and automatic scoring of College English translation test on the basis of existing research.
Investigating the Use of a Distance-Weighted Criterion in Wrapper-Based Semi-supervised Methods

This paper proposes the use of a more elaborated criterion for both selecting and/or labelling unlabelled instances of a wrapping-based SSL method. In order to assess the feasibility of the proposed method, an empirical analysis will be conducted, in which the proposed Self-training versions are compared to other Self-training versions, some existing SSL methods (i.e. LLGC and GRF), and also a supervised classifier using different proportions of the training set (10 and 90%). The experimental results have shown that the Distance-weighted Criterion has improved the performance of the Self-training method, especially when this criterion is used on the labelling process.
Isolation Forest Based Anomaly Detection Approach for Wireless Body Area Networks

Anomalous data detection is an important task for ensuring the quality of data in many real-world applications. Medical healthcare services are one such application where Wireless Body Area Networks (WBAN) is used to track human health situations. Such tracking is achieved by collecting and monitoring the basic physiological vital signs and making them available to the healthcare givers to assess the criticality status of patients, especially in Intensive care units (ICU). Various anomaly detection approaches have been proposed for detecting anomalies collected in WBAN such as statistical, machine learning and deep learning techniques. However, the lack of ground truth data made the job of training such models a difficulty in supervised settings. In this paper, an Isolation Forest-based anomaly detection approach for WBAN (iForestBAN-AD) model is proposed. The iForest technique is fully unsupervised and does not employ any distance measure or density function like most existing techniques and rather detects anomalies based on the concept of isolation. To evaluate the proposed approach, experiments on data samples from real world physiological network records (Physionet) were conducted. The results show the viability of the proposed approach as it achieves around 95% AUC and outperforms many of the existing baseline unsupervised techniques on multivariate dataset samples.
Outlier Detection from Mixed Attribute Space Using Hybrid Model

Modern times have seen a rise in the amount of study being done on outlier detection(OD). Considering as setting the appropriate parameters for the majority of the existing procedures needed the guidance of a domain expert, and that the methods now in only use handle categorical or numerical data. Therefore, there is a requirement for both generalized algorithms for mixed datasets and current algorithm that can operate without domain interaction (i.e. automatically). The created system can automatically differentiate outliers from inliers in data having only one data type and data with mixed-type properties, such as data with either quantitative or categorical characteristics. The main objective of the described work is to removing outliers automatically. The current study makes use of the hybrid model called Hybrid Inter Quartile Range (HIQR) outlier detection technique.
The Plain Truths of Seismic Processes

Failures to determine the causes of earthquakes and their mysterious, seemingly simple process drive the entire scientific world crazy. Trying to achieve victory over the underground elements, geophysicists have invented and continue to invent complicated theories and schemes of seismic events, which further confuse the theory of earthquake formation and lead researchers into a jungle of uncertainty and doubt. For more than one hundred years all efforts of geophysicists are akin to the efforts of the mythical Sisyphus, who tried to roll a boulder on the hill of "Wisdom". Looking back at the long way passed by geophysicists, it became obvious that they need to go back to zero point of start studying earthquake processes. Exactly to return to the starting point and only then go the absolutely different way, because the direction of research of seismic processes chosen by Mr. Reid led geophysicists into the wilds of the theory Elastic Recoil [1], which in fact appeared to be a stillborn baby, because the accumulation of energy of elastic deformations by rock blocks [2] is physically impossible. Today, in order to solve the long-standing problem, the simplest thing that can be done in such a situation is to forget about Mr. Reid's fantasies which violate the fundamental laws of science and to start building the model of seismic events from scratch. For this purpose it is necessary to define the basic points triggering seismic processes and on the basis of the analysis of the obtained results to define correctly the starting positions of the mechanism erupting energy from the mountain massif, gradually passing from the analysis of single and simple facts to their all possible combinations, until all nuances of processes taking place in the Earth interior become clear. The sad experience of studying earthquakes has shown that there is simply no other way.This article highlights some basic points of seismic processes, from which scientists should begin to build the foundation of a new theory. It will be a kind of commonplace truths that all geophysicists should know.