Reviewerly/exHarmony huggingface dataset:
The Differences of Family Education between China and the United States in The Joy Luck Club

Along with the development of globalization, cultural differences among different countries have been brought into our focus. Family education, plays an irreplaceable role in our educational process, and is also a special and essential aspect in various cultures. This paper will analyze the differences of family education between the Chinese culture and American culture through Amy Tan’s work The Joy Luck Club. The differences mainly include the aspects of aim of education, content of education, requirements of education, views of family relationship and different ways used in education. Through comparing the different results brought by different styles of family education, it helps readers to learn cultural differences between China and the United States in the aspect of family education, and make them respect different cultures and realize the importance of family education.
Multiphase dolomitization in Devonian Shogram Formation, Chitral, Karakorum ranges, Pakistan: Evidence from outcrop analogue, petrography, and geochemistry

This paper reports the first detailed microscopic and geochemical investigations of multiphase dolomitization in Devonian Shogram Formation, North-Western Karakorum constraining nature and origin of dolomitizing fluids.Field and petrographic studies revealed 4 different types of replacive dolomites, which are (i) fine grained anhedral dolomite (D1), (ii) medium grained subhedral to anhedral dolomite (D2), (iii) medium grained euhedral dolomite (D3), and (iv) coarse grained anhedral dolomite (D4) along with cement phase saddle dolomite (SD).These dolomites had high Fe and Mn concentraions and low Sr content.Stable isotope studies indicated high light isotope δ 18 O values for D1 and D2, higher lighter isotope δ 18 O value for D3, and highest lightest isotope δ 18 O values for D4 and SD, respectively.Petrographical and geochemical data suggested that D1 and D2 are likely formed in compactional flow regime in early stages prior to chemical compaction at shallow burial depths, whereas D3 is formed in late diagenetic deep burial settings.Lastly, D4 and SD are formed from high temperature hydrothermal fluids.These fluids could be related to widespread tectonic activity in the Karakorum region during collision or post-collisional time.Reshun fault acted as an important pathway that channeled Mg-rich hydrothermal fluids from underlying strata into carbonates, which caused intense dolomitization.
The Linguistic Features of “Clickbait” in Chinese Websites

This article examines the word and sentence characteristics of "clickbait" in Chinese websites.In terms of words, celebrity names, suspenseful words, violent or pornographic words, and exaggerated words are commonly used types in "clickbait."The widely used sentence patterns of "clickbait" include exclamation sentences, omission sentences, interrogative sentences, and rhetorical question sentences.Through the principle of cooperation, these types of words and sentence patterns are to attract readers and increase click-through rates, which is not a good thing for the credibility of the media.
An Intelligent Metaheuristic Optimization with Deep Convolutional Recurrent Neural Network Enabled Sarcasm Detection and Classification Model

Sarcasm is a state of speech in which the speaker says something that is externally unfriendly with a purpose of abusing/deriding the listener and/or a third person.Since sarcasm detection is mainly based on the context of utterances or sentences, it is hard to design a model to proficiently detect sarcasm in the domain of natural language processing (NLP).Despite the fact that various methods for detecting sarcasm have been created utilizing statistical machine learning and rule-based approaches, they are unable of discerning figurative meanings of words.The models developed using deep learning approaches have shown superior performance for sarcasm detection over traditional approaches.With this motivation, this paper develops novel deep learning (DL) enabled sarcasm detection and classification (DLE-SDC) model.The DLE-SDC technique primarily involves pre-processing stage which encompasses single character removal, multispaces removal, URL removal, stop word removal, and tokenization.Next to data preprocessing, the preprocessed data is converted into the feature vector by Glove Embeddings technique.Followed by, convolutional neural network with recurrent neural network (CNN-RNN) technique is utilized to detect and classify sarcasm.In order to boost the detection outcomes of the CNN+RNN technique, a hyper parameter tuning process utilizing teaching and learning based optimization (TLBO) algorithm is employed in such a way that the classification performance gets increased.The DLE-SDC model is validated using the benchmark dataset and the performance is examined interms of precision, recall, accuracy, and F1-score.
A Narrow Study on Two Forms of Wh-Question Concerning the Scope Ambiguity

When talking about wh-movement, two basic forms will be considered.Languages with explicit wh-movement have syntactical form and logic form, whereas English has both forms.Other languages have varied mechanisms for posing constituents.For example, languages like Chinese and Japanese lack the wh-movement; wh-phrases remain their position in their surface structure.This article explores the differences in wh-question clarity regarding wh-situ-in and wh-movement and applies the scope principle.Chinese is chosen to be a subject language of wh-sui-in.English will be the language with both forms to be analyzed as the basal comparison object.It compares the ambiguous questions with wh-movement with the same question displaying wh-situ-in.And the quantifier category of wh-phrases, indefinite phrases, as well as adverb DOU will be discussed related to their syntactical connections with the subject.
Supplemental Material: Segmentation of the Wassuk Range normal fault system, Nevada (USA): Implications for earthquake rupture and Walker Lane dynamics

T-test results for comparison of footwall domain data.
The Privacy Concern and Cyber Violence on Epidemiological Investigation of Confirmed Cases

In China, the government is using social media to control COVID-19 by posting definite privacy cases, including their journeys of the past days or weeks.The exposing of privacy of these confirmed cases usually leads to cyberbullying on the internet.Both the exposure of privacy and cyberbullying can cause negative influences on the individual.This study reports the stigmatization of people due to cyber violence, which resulted from the disclosure of private information during the pandemic.In particular, it is focused on comments regarding information on social internet platforms, and it will utilize the analysis of comments to investigate the stigmatization of people whose privacy has been compromised due to the pandemic.Aside from that, several important instances in China throughout the pandemic to uncover the connections between privacy concerns, online aggression, and societal stigma are also depicted.As a result of the research, it is concluded that online violence caused by the disclosure of personal information during an epidemic can result in some stigmatization of individuals.The outbreak of an epidemic has a significant impact on this process by comparing the disclosure of personal information before and after the epidemic.As a result of social stigma in a real-time setting, this research explores the real-time transformation of social stigma in a particular case.It also offers further suggestions for regulations on the disclosure of personal information to reduce the development of cyber violence in the pandemic.
Analysis of Cultural Content on the Beginner-Level Textbooks “Bahasa Tionghoa Zaman Sekarang”

Language learning and cultural learning are inextricably linked to each other.Foreign language learners who are equipped with cultural understanding will possess "intercultural competence," which is essential in cross-cultural communication.In Indonesia, learning Chinese at the beginner level is still highly reliant on textbooks.Therefore, in determining textbooks, teachers must carefully evaluate every cultural aspect for students to know and comprehend while considering appropriate delivery method options.This research analyzes the beginner-level textbook, "Bahasa Tionghoa Zaman Sekarang," which has a specific target audience, namely learners who speak Indonesian as their first language.The aspects analyzed are the cultural content in the textbook and the method of delivery.This qualitative descriptive research identifies the cultural content data presented in the textbook, whose form of culture and delivery are then described and analyzed.The results of the analysis show that the textbook is remarkably rich in cultural content, especially Chinese culture.The cultural diversity of ideas, activities, and artifacts conveyed in various delivery forms within the textbook greatly supports effective learning of Chinese communication to avoid cultural misunderstandings.Considering the evolving culture and the study that has been done, the authors provide several suggestions to develop the textbook used in the future.
Information System Public Administration Services Parianum Village, Muara Bengkal Sub-District

Seen from the population administration service in the village still uses a manual system for processing written data and archiving methods as data storage. Therefore, the purpose of this research is to provide better changes to community services by building an accurate and reliable registration and civil registration information system in parianum village, because in the application of community data storage is carried out directly from outlet services to databases by processing data through the website. Waterfall method or often called waterfall model provides a sequential or sequential software lifeline approach starting from analysis, design, coding, testing and supporting stages. Statistical Product and Service Solutions (SPSS) is an application used to perform advanced statistical analysis, data analysis with machine learning algorithms, string analysis, as well as big data analysis that can be integrated to build a data analysis platform. Pearson correlation or often called Correlation Product Moment is a statistical test tool used to test the associative hypothesis (relationship test) of two variables when the data is interval or ratio scale. The results of this study are easy to manage community data in Parianum village.
Optimasi Web Profil dan Sistem Informasi Terintegrasi Sebagai Media Promosi Wisata Waduk Pondok Ngawi

This research was conducted with the aim of designing and creating a web profile and integrated tourism information system that can present and provide tourist information in the Pondok Reservoir, Ngawi Regency. The background of this research was appointed based on the need for an information system that can provide comprehensive information quickly and accurately. There is still a lack of information that can be consumed by the wider community in relation to information on tourist attractions, especially Pondok Reservoir, so it is necessary to create an effective alternative means in informing the Pondok Reservoir tourism so that it is increasingly known by the wider community. And with this web profile and information system, it can also help the local government of the Department of Tourism and Culture in managing tourism and cultural information in the Ngawi Regency area. This study uses the waterfall system development method and the system testing method using the Black box testing method which focuses on the website function keys.
A Computational Linguistic Approach for Gender Prediction Based on Vietnamese Names

Gender prediction is extensively studied in recent years since it is widely applied in many fields. Several factors have been investigated to determine a gender of male or female through facial images, voice, gait, finger print, etc. In this study, we present a machine learning approach for gender determination based on Vietnamese names. A model based on N-gram for the full name, combining its own middle name feature based on the specificity of Vietnamese language, is proposed. The experimental evaluation of gender prediction tasks is applied on GenderVN1.0 dataset (with 3 million Vietnamese names) that achieves 90.9% of accuracy.
Research on Elementary Mathematics Education Between China and Britain

In recent years, the trend of international education has been obviously developed and a great number of Chinese students choose to study abroad in different age.According to the report of PISA 2018, Chinese students got the highest score in reading, mathematics and science around the world.This study focuses on the comparison of Chinese and British mathematics education and find out the feasibility of interactive learning in primary mathematics education.Through reviewing the literature, British and Chinese different history cultures and education policy that may effect education differences are compared.All the information and data are collect from published articles.By analyzing the literature, it is found that the belief of Chinese teachers is quite different from British teachers.For Chinese teachers, they not only pay more attention to logical and rigorous reasoning than British teachers, but also agree that mathematics has a significant effect on other disciplines.Moreover, British mathematics teachers focus more on further mathematics education than Chinese teachers.This cultivates the ability of students to think independently.
Data preservation and risk management in Management Information Systems

Companies have indeed been able to cut down, widen their market coverage, as well as shape relatively close working relationships while working to improve client relationships thanks to technological processes. However, using the Internet has introduced new risks and concerns. This research highlighted the problems that CIOs and IT managers face in the field of the organization. It covers data security in its newest manifestation, effective management issues, safety disciplinary measures and methodologies, and more. Risks from cyberspace are also a concern. It also develops a threat classification model and also regulatory systems. It also employs a few explanations to develop a system for calculating the impact of security risks in a statistical sense. It entails determining the likelihood of successful information attacks.&#x0D; The paper also evaluates the physical and perceived expenses of the known vulnerabilities, and some recommended control laws and simulation methods for measuring the injuries done by such infringements. This study as well begins to develop a five-stage risk mitigation system for evaluating incidents involving information management: 1- Appraisal of the resource's and application's worth; 2- Remotely exploitable and risk assessment; 3- Computation of threats-related losses and the advantages of preventive actions; 4- Choosing a surveillance system and; 5- A simulating different strategies. The research findings must aid judgment in deciding the best controls to reduce safety issue detriment. Finally, a few recommendations for further research have indeed been put in place to improve protection. Massive quantities of assets and analysis in organizations, as well as assessing the chance of successful potential attacks on these investments. This study created an overarching risk management system for security analysts, allowing them to better focus their efforts to include the most appropriate control measures. There are five parts to this scheme: Commodity and application value explanation, Vulnerability review, Loss arithmetic following complaints and advantages of control legislation, Done through a process collection, and Implementation different alternative appraisal. Fenceline routers, numerous different intrusion prevention, security systems, firewalls, and scheme records are identified as countermeasures for maybe the first danger; password protection and malware barcode readers have been identified as an effective control law again for Remotely exploitable and risk assessment; and eventually, an essential tool for managing, firewalls, and assertive methodologies are identified as effective control measures for denial - of - service.
Analysis of the Influence of New Media on People’s Values ——Take Youth Sports as an Example

Both exercise and new media are an essential part of human daily life, and this paper will examine the effect of new media on people's willingness to exercise, using young people as an example.This paper analyzes the effects of both external and internal factors by comparing the research proposal of the government's measures used to increase the frequency and time of people's physical activity ----to invest in the construction of fitness equipment and the continuous development of new media on young people's willingness to exercise.It finds out that although more government funding in gyms may be a good solution, it does not address the root cause of people's motivation to exercise.Fortunately, the emergence of new media is overcoming this problem and is gradually influencing young people's ideas and enthusiasm for exercise.Therefore, the study suggests that new media is a more worthwhile investment than gyms to improve young people's physical health.
A Peer-to-Peer File Storage System Using Blockchain and Interplanetary File System

People’s lives have been profoundly impacted by the headway of innovation which has worked on their lives from each viewpoint. Clearly, innovation assumes a significant part in each circle of life and information stockpiling and sharing is a significant part of it. Current information sharing and storage devices depend on trusted third parties (TTP) and because of the contribution of third parties, such frameworks need straightforwardness, security, trust and strength. To solve these issues, this paper proposes a blockchain-based secure information sharing application by consolidating the highlights of IPFS and Ethereum. In this proposed scheme ethereum blockchain, decentralized storage, encryption and IPFS are combined to build an application that maximizes the technological resources and provide with an effective storage website ,Ethereum blockchain, decentralized capacity, encryption, and InterPlanetary File System are consolidated to assemble an application that boosts the innovative assets and gives a viable storage site. To carry out the proposed situation, smart contracts are written in solidity and sent on the nearby Ethereum test network. The proposed plot accomplishes security, transparency, legitimacy of owner, access control and nature of information.
Digital natives problems and challenges in learning English

This research aims to analyze the problems and challenges encountered by Digital Natives and to find out how they overcome them in English learning. The Digital Natives were students of the English Department, IAIN Salatiga, in Academic Year 2017/2018. The methodology of this research was descriptive qualitative. This research used questionnaires and interviews. The questionnaire was used to find out the problem, challenge, and solution of Digital Natives in learning English. The interview section was to collect the information from participants about their experience, the problems and challenges, and how to solve them. This research, it was conducted data analysis by data reduction by simplifying, classifying, and removing unnecessary or irrelevant data to achieve the best finding of the research. The results showed that bad internet signal and connection, the negative effect of the technology and language learning problem. The challenge they frequently have is coping with the problem of lack of English vocabulary and they are being unsociable to the environment. The research showed that technology can be used as an effective digital tool to learn English. It can be seen by the participants’ learning experience. The digital tool assists English learner by overcoming their problems and challenges, what are the participants get more in using the digital tool is how fun the digital tool make easier for English learners... To overcome those problems, they should be wise with their dependence on the gadget and the internet. Then after a long time getting difficult vocabulary, they looked up some online dictionaries and asked to their friends.
PSYCHOLOGICAL VULNERABILITIES OF REMOTE WORKING INTERACTION

Remote work interaction is becoming the most important trend in employment management. The work-from-home online job affected not only in technical occupations who have experience in remote working. Different professions were simultaneously involved in online interaction, regardless of skills, willingness or nature of its work. Unlike human- computer interaction, main feature of this interaction is communication between people that built outside the logic of the programming language and it is due to socio-psychological mechanisms rather than technical re- quirements. Online interaction depends on communication processes, cyber shadow saving / data updatability, anonymity and self-disclosure degree, etc. The comparative features of online and offline communication, the spe- cifics of network language and communication can be considered relatively studied at the present time. However, online professional communication is beyond the focus of the researchers' attention, including the exposure of such online communication to the influence of motivation, psychological barriers, user beliefs, preferences and attitudes. User experience, affective support, and user attribution and motivation were identified as the priority predictors of remote working efficiency in the conditions of a massive and sudden shift to new working conditions.
Edukasi Kesiap-Siagaan Bencana Tsunami Pada Anak Melalui Penggunaan Media Pembelajaran Interaktif

The implementation of the service focuses on educating children about tsunami disaster preparedness in the coastal area of Tomini Bay as the first step for disaster risk reduction. This is done based on efforts to reduce disaster risk for children, where children are a group that is vulnerable to a disaster. The implementation of the education service for tsunami preparedness for children using interactive media showed positive results. Children know more about the concepts and causes, signs of a tsunami disaster, and actions to deal with the disaster. In addition, children are willing to share information with friends and family about the concept of a tsunami disaster and the attitude of preparedness in dealing with it.
Visual Learning: A New Path for JMER

This issue represents a new beginning for JMER. As we all know, the influence of videos and social media on our everyday culture is undeniable. With digital videos continuing to gain popularity, it seems only natural that this familiar and widespread platform should extend into the education system. Thanks to Tatyana Kleyn’s contribution in this area, JMER has taken the step of reviewing videos for the first time -- the videos that she has produced and directed. Kleyn’s videos depict immigrant lives in different facets. We hear the voices of the parents, and their children. They speak directly to us, explaining the perils of their situation but also evidencing their resilience and determination to create the best future for their children. The video collection also highlights the importance of empathic teachers who know how to tap into the rich cultural and linguistic capital that multilingual/multicultural students bring to our classrooms.