Reviewerly/exHarmony huggingface dataset:
An Analysis of Some Causal Factor Difficulties in Speaking English Ability at the Member Destorel English Club of Senior High School 8 Kota Jambi

This study aims to determine analyze some students' ability about learning English in Destorel English Club of senior high school 8 in the city of Jambi. This research is a mix method research. The data collection technique was obtained through interview and recorded. The results showed that according to students learning English is very easy to understand if students want to learn to understand it, the interest of students of senior high school 8 Jambi city in receiving learning is also supported by learning support facilities such as books, English dictionaries, and other online English dictionary sites. In addition, the assignment given by the teacher also raises student ability. Based on the research results, it can be concluded that according to students speaking ability in speaking English is very easy. Students' difficulties in receiving learning is also supported by supporting facilities for learning English such as books and dictionaries. Teachers always use two languages to interact with their students in learning English, namely by mixing Indonesian. Students always actively ask teachers and friends about learning English that students do not know, and students do not apply English in their daily life due to lack of vocabulary and lack confidence in interacting with other people in using English.
The Student’s Errors in Writing Descriptive Text at Seventh Grade Students of Junior High School Laboratorium Jambi City

The purpose of conducting this research is to know the student’s errors in writting descriptive text at seventh grade of SMP Laboratorium Jambi City. The research design of this research is quantitative with descriptive approach. The method used in this study is a qualitative description. Fifteen seventh-grade junior high school students were the subjects in this study. The population of this research are 10 students and research used total sampling technique. The data of this research were collected through the test. The data were analyzed by using descriptive quantitative. The result showed that the seventh grade of SMP Laboratorium Jambi City, there are still some mistakes in writing descriptive texts about people, animals, and objects.
An Analysis of Students’ Problems in Speaking English During Covid-19 at The Eleventh Grade Accounting 1 of Vocational High School 1 Jambi City

This research focuses on analysis student problems in learning to speak English at Vocational High School number 1 Jambi City. This research used qualitative research design. The aims of this research was to find out what problems students faced in speaking English during the covid-19 pandemic and the solutions students made to overcome these problems. In this case, a direct analysis of the problems faced by students in learning to speak English in the classroom during the covid-19 pandemic. This research took six students of class XI Accounting 1 as research subjects. This research used interview sheets and interviewed students to collect data. Based on the results of the study, regarding the problems of students in learning to speak at Vocational High School number 1 Jambi City, there were several student problems during the pandemic, located in the sixth question about the difficulty of speaking English, namely, lack of confidence, embarrassed to speak English, online learning made students feel less confident. self-confident. learning time in class, so that the problems faced by students are lack of pronunciation, fear of making mistakes when speaking English, lack of motivation of students in speaking English, students get into trouble because it is based on problems experienced and experienced by themselves. that happens in everyday life. In learning to speak English, and based on interviews, there are solutions to the problem, such as, using more English, translating sentences on Google, by listening to English music.
The Communication Strategy Used by English Teachers in Teaching and Learning Process at Junior High School Number 17 Jambi City

The purpose of this study was to determine the types of communication strategies used by English teachers in the teaching and learning process and to explain the reasons for using these strategies at Junior High School Number 17 Jambi City in the 2021/2022 academic year. This study used qualitative research and data analysis was carried out by classroom observations and interviews with English teachers. The subjects of this study were four English teachers at Junior High School Number 17 Jambi City, using total sampling. The results of this study indicate that there are two approach communication strategies used by teachers in the teaching and learning process of English, namely two-way communication is the most widely used strategy by teachers in the classroom and one teacher uses two-way communication and also transactional communication in the learning process. learn to teach it. Thus, from the results of observations and interviews, this research concluded that teachers often use various communication strategies in the teaching and learning process of English so that students understand the lesson more easily.
Bayesian Computation

Suppose $$Y \sim p(y|\theta )$$ and $$p(\theta )$$ is the prior distribution over $$\theta $$ . Our objective is to make the Bayesian statistical inference about $$\theta $$ . The posterior distribution of $$\theta $$ .
Students’ Problems in Using English Pronouns at Junior High School Number 15 Jambi

This study aims to find out what are the students' problems in using English pronouns in using personal and possessive pronouns at SMP Negeri 15 Jambi. In this study, this research used qualitative research. The subjects of this study were class VIIG students of SMP Negeri 15 Jambi in the academic year 2021/2022. All problems in the use of pronouns have been categorized and identified, namely subject, object, possessive adjective, and possessive pronoun. In simple terms, the students face more problems in using object pronouns. This can be seen from the percentage results where the problem of using object pronouns is 35.2%, questions are answered incorrectly. Meanwhile, at least students face problems in using possessive pronouns by 14.4%. The result of this research found that the seventh grade students of SMP Negeri 15 Jambi mostly face the problem of using object pronouns, which is the most difficult thing for students because they do not really understand how to use object pronouns.
Container Anomaly Detection System Based on Improved-iForest and eBPF

Abstract: Container has become an important part of cloud-native architecture. More and more enterprises are deploying their core business on containers. The running status of containers is very important for the stability of their business. This paper proposes a container anomaly detection system based on the improved isolation forest algorithm and eBPF. The data is directly extracted from the kernel through eBPF, and the data fluctuating with time is corrected by the method of polynomial regression, and then the iTrees are constructed by the improved isolation forest algorithm, and the abnormal score is calculated to locate the abnormal container. Experiments show that the system improves the precision and recall rate compared with the classical isolation forest algorithm, and the resource overhead is very small.
A Model robustness optimization method based on adversarial sample detection

Deep neural networks are extremely vulnerable due to the existence of adversarial samples. It is a challenging problem to optimize the robustness of the model to protect deep neural networks from the threat of adversarial samples. To improve the model robustness, an integrated detection model of adversarial samples is designed to detect the existence of adversarial samples, which consists of a multi-classification detector and five single-classification detectors to perform double-layer detection of adversarial samples and intercept the adversarial samples finally sent to the image classification model. The detection experiments were conducted on the CIFAR-10 dataset for the adversarial samples generated by five attack algorithms: FGSM, BIM, DeepFool, JSMA, and C&W, and the detection success rate for all types of adversarial samples reached over 98.96%. After that, secondary attack experiments were conducted on the model, and the detection success rate of the model for the second attack adversarial samples reached over 92.36%. It provides an efficient and robust optimization method for deep neural network models in adversarial environments.
Not Exactly Lying: Fake News and Fake Journalism in American History, Andie Tucher (2022)

Review of: Not Exactly Lying: Fake News and Fake Journalism in American History , Andie Tucher (2022) New York: Columbia University Press, 384 pp., ISBN 978-0-23118-635-3, p/bk, $28.00
Interaction preservation based Multi-feature fusion for video synopsis generation

Faced with a large number of surveillance videos, it will cause users to spend a lot of time browsing and retrieving videos, Video synopsis technology solves this problem, which condenses the spatiotemporally redundant long video into a compact summary video and preserves the activity information of all objects. However, the spatial and temporal displacement of objects during the synopsis process destroys the interaction between objects. This paper proposes a video synopsis method that preserves the interaction between objects. First, the depth prediction of the objects in the video is performed, and then the surveillance video is subjected to inverse perspective Mapping (IPM) to calculate the distance between objects, Finally, the depth and distance are used as the factors for judging the interaction relationship of objects, and the interaction relationship between the objects in the original video and the synopsis video is kept consistent by optimizing the interaction energy cost term. Experimental results show that the proposed method effectively preserves the interaction between objects in the synopsis.
Image Description Generation Method Based on X-Linear Attention Mechanism

Aiming at the problem that existing image description models cannot model high-order multimodal feature interaction, this paper introduces the X-Linear attention mechanism, which uses bilinear pooling and ELU activation function to model high-order feature interaction between multimodal features. At the same time, the X-Linear attention mechanism uses spatial and channel attention mechanisms to enhance the expression ability of the model and the ability to generate image description sentences. The experimental results on the MSCOCO data set show that this method is effective and has a great improvement in each evaluation metric.
An Analysis in Writing Analytical Exposition at Eleventh Grade Students’ of SMAN 8 Jambi City

This study focuses on the students’ ability in writing analytical exposition texts in second grade at SMAN 8 Jambi City in the academic year 2020/2021. This study aims to determine the students ability in writing analytical exposition text in terms of the structure of the analytical itself, namely Thesis, Argument, and Reiteration. The purpose of this research is to see the students’ ability in writing analytical exposition text. This research was conducted at SMAN 8 Jambi City. This research used a descriptive qualitative method by taking the sample used simple random sampling and then obtained XI IPS 2 with the total number of 36 students as subject of the research. The instrument used is writing test based on the topic that has been determined by this research. In this study this research used an assessment rubric adapted from the Hamp-Lyons theory used by a team of assessors who are experts in the field of writing. The result of this study showed the students’ ability in writing analytical exposition text were: 6 students get very good criteria, 14 students get good criteria, 10 students get adequate criteria, and 6 students get poor criteria. This means, most of the XI IPS 2 at SMA N 8 Jambi City students got “good” criteria in writing Analytical Exposition Text. Therefore, students have to pay attention to their writing skills and all criteria that must be met to make good writing.Key Words: Analytical exposition, Writing test, Writing ability.
Effects of the Cooperative Learning-based Flipped Classroom Model on Chinese Students’ English Proficiency in the EFL Context

This study investigates how the cooperative learning-based flippedclassroom paradigm affects the English language ability of Chineseuniversity students in an EFL (English as a Foreign Language) setting. Itwas decided to use a quasi-experimental study approach. In an integratedskills course, the experimental group engaged in flipped classroomactivities based on cooperative learning (CL) for 80 minutes over the courseof 24 sessions. Only standard whole-class instruction was given to thecontrol class. The students’ spoken English proficiency was evaluatedusing an oral pre- and post-test before and after the intervention. Thenational written CET4 (College English Test Band 4) scores were adoptedfor comparing their general proficiency. The quantitative results revealedthat the experimental class made greater gains in oral proficiency than thecontrol class. Despite the fact that there was no significant difference in thewritten CET4 scores (general proficiency) between the two classes, theexperimental class had a greater pass rate than the control class. Thedeployment of the CL-based flipped classroom paradigm in the EFLenvironment is further examined in connection to the results.
The Using of English Songs to Activate Student's Speaking English Skills

This study's objective was to examine how songs were used to teach speaking proficiency to elementary school kids as well as the issues that teachers ran into. The goal of incorporating the song into all learning phases is to help students become accustomed to the English language's vocabulary and pronunciation by employing an enjoyable method—a song that they are already familiar with. Based on the findings of this study, it can be concluded that the teacher primarily integrated the song into the learning in three activities, such as the opening, while, and closing activities, by providing the students with the link to a YouTube video and assisting them with translation to motivate the students to learn to speak English by using the song. The problem that mostly occurred in the class teaching song for speaking English was not confident in speaking. Because of that, implementing the song for learning English to activate students’ speaking skill.
Digital Transformation of Teacher Education by Bridging Digital Divide between Teacher Educators and Prospective Teachers

Digitalization has profoundly transformed the organizational processes,activities, experiences and teaching-learning models to fully persuade theshifts and prospects of a blend of digital technologies and their elevatingeffects across whole education sector in an ordered, strategic andhighlighted way. Teacher education is highly influenced by the digitaltransformation globally. In Pakistan, it is imperative to digitallytransform teacher education so that by overcoming the current prevailingchallenges. Digital divide is one of the biggest challenges predominatedin teacher education which necessitates to be bridged for meetinglearning needs of prospective teachers. This research study wasconducted to analyze the need and ways to bring digital transformation inteacher education by bridging the digital divide between teachereducators and prospective teaches. The study was descriptive in naturewhich followed quantitative method whereas sample of this studycomprised of prospective teachers and teacher educators from educationdepartments of three universities of Lahore. The study revealed that thereis a dire need to bring digital transformation in teacher education, whilethere exists a prominent digital divide where prospective teachers arecomparatively more superior in digital competencies and digital literacy.It was also found that digital transformation and digital divide are closelyrelated and occurrence of digital transformation is dependent uponapplying strategies to bridge digital divide. The study suggests that ifteacher education institutions employ some digital divide-bridging strategies like e-Training, digitization of curriculum, enhancing digital infrastructure and devising digital strategies, it is possible to beget digital transformation in teacher education.
Examining the Role of Teachers in the Provision of Guidance and Counselling at Secondary School Level

Scientific and technological advancements have affected all walks of lifeand have brought about significant changes in them. Keeping in view theever-changing nature of society, educational demands and needs,employment and religious exploitation, school students are under a lot ofstress. The situation demands that they should be helped to cope with thisstress. Educational guidance and counselling have played a vital role forstudents in this regard. The present study was planned to investigate therole of educators in providing guidance and counseling to students ofsecondary level. A descriptive survey design was used for this purpose.The participants were included through stratified sampling technique.These comprise principals, teachers and students of secondary schools inthe Islamabad Capital Territory. Three separate questionnaires weredesigned for the participants. These included questionnaires for: theprincipals of secondary schools, students and teachers. The findingsrevealed that the teachers lacked the skills and knowledge required forproviding guidance and counseling to the students. The current teachereducation programs don’t equip teachers with the skills to provideguidance and counselling to students. In addition, the teachers are notready to play the role of guidance counsellors. The analysis revealed thatthere did not exist any arrangement for providing guidance andcounselling to the students.
On the Genealogy of Intimate Digital Harm

Danielle Citron’s The Fight for Privacy: Protecting Dignity, Identity, and Love in the Digital Age paints a harrowing picture of the pain, suffering, and loss experienced when intimate digital images are circulated, manipulated, or exploited without consent. It offers a critique of these abuses as violations of “intimate privacy.” This review essay praises many elements of Citron’s pathmarking work—while pointing to ways in which it can be amplified. Her framing, I suggest, does not capture a coherent set of cases and unjustifiably excludes certain harmful practices. Moreover, Citron’s ‘civil rights’ framework for remediation is likely to fall short because the harms she rightly decries bubble up from foundational technological and economic choices that are unlikely to be altered by successfully ratcheting up civil liability. I close by suggesting paths by which Citron could extend and deepen her important critique.
Introducing Visual Studio Code

Visual Studio Code is not just another evolved notepad with syntax colorization and automatic indentation. Instead, it is a very powerful, code-focused development environment expressly designed to make it easier to write web, mobile, and cloud applications using languages that are available in different development platforms. It supports the application development lifecycle with a built-in debugger and integrated support for the popular Git version control engine.
Language Support and Code Editing Features

Visual Studio Code is not just another evolved text editor with syntax colorization and automatic indentation. Instead, it is a very powerful codefocused development environment expressly designed to make it easier to write web, mobile, and cloud applications using languages that are available to different development platforms.
Working with Files and Folders

Being the powerful editor it is, Visual Studio Code provides a convenient way of working with code files and folders containing both loose files and projects. In this chapter, you learn how to work with individual files, with folders containing source code files, and with workspaces. You also learn about VS Code’s independence from proprietary project systems as well as its built-in support for a few popular project types.
Deploying Applications to Azure

Azure is Microsoft’s premiere cloud solution that offers many services, from hosting web applications and SQL databases to remote virtual machines, artificial intelligence services, and many more.
CARACTERIZAÇÃO DA VARIABILIDADE SAZONAL DO REGIME HIDROLÓGICO DO RIO ORINOCO POR MEIO DOS DADOS ALTIMÉTRICOS DO SATÉLITE JASON-2

With the period of quarantine decreed by the Government of the State of São Paulo due to the Coronavirus pandemic, many companies were suddenly forced to close their doors as a measure to prevent the disease, reducing or even completely paralyzing their economic activities.The Candidate Organization's list of consumers is mostly made up of households.The commercial and industrial sectors represent approximately 10% of the total connections supplied.However, these last two segments are responsible for 25% of the amount collected by the OC.Held monthly to analyze the unit's results, the May 2020 Critical Analysis Meeting showed that the amount collected from commercial and industrial segments in the municipality varied negatively compared to January 2020 (-30 p.p.).The result shows the great impact caused by the quarantine and social isolation that the sectors have been suffering.According to studies carried out by economist Jefferson José da Conceição, from the Observatory of Public Policies, Entrepreneurship and Conjuncture of the USCS (Municipal University of São Caetano), published in April 2020, the annual revenue of businesses in the Greater ABC region revolves around R$ 22.5 billion a year.In July 2020, the forecast for the year was a revenue of R$ 19.6 billion, that is, a drop of approximately 9% in annual revenue.Considering the unpredictability of the financial crisis and the unpreparedness of entrepreneurs and merchants experiencing this unusual situation, the team responsible for managing Billing and Collection at OC saw an opportunity for closer and more humane action in contact with this public to strengthen the relationship at this time crisis and seek, as a result of a personalized relationship, to increase revenue from these segments that, financially, were in decline.
The Impact of Knowledge Sharing on Organizations and How to Overcome It During the COVID-19 : A Systematic Literature Review

Many of the challenges that organizations face during the COVID-19 pandemic are how to effectively share, and manage access, acquisition, and storage of knowledge in their individuals, teams, and the organization as a whole. It is important for organizations to respond to new global risks and catastrophic extra-organizational events and crises such as the current COVID-19 pandemic by leveraging knowledge management and innovation created through technology-based knowledge sharing. The purpose of this study is to collect, summarize, analyze systematically and synthesize information about knowledge sharing impact in organization during pandemic era and what techniques the company uses to deal with those impacts by providing systematic literature review that have been done by researchers previously. The results of this study explain the most impact of knowledge sharing that occurs on the organization during pandemic era and there some techniques to use for examining the impact of knowledge sharing in the organization.