Reviewerly/exHarmony huggingface dataset:
Citizenship and identity Geographical affiliation and cultural affiliation

Citizenship is the affiliation of a geographical place that is accompanied by identity as a cultural identity, and citizenship is the attachment to a particular land, but the identity itself and its precise meaning are belonging to certain believes, values ​​and standards, and the dialectical relationship between them (citizenship and identity) strongly indicates that identity is always inherent to citizenship. Citizens in all circumstances and in any geography of an integrated political system supported by economic capabilities and social systems, as well as the laws that regulate the rhythm of those relations, all these points remain on the values ​​and standards (as we have stated), in the sense of a clear identity. The homeland in which individuals live in does not specify the type of identity to which they belong. The one country may be subjected to many changes depending on the different contradictory political systems, and here the identity is the lens through which citizens determine what is appropriate or inappropriate. It is not valid for their homeland, and if the lenses are differed, the evaluation of the persons will differed also as to what they looked at and agreed on the sensory facts. According to this logic, citizens, regardless of their loyalty to their country and their interest in their interests, cannot view that interest as citizens only, but must look at it according to their hobbies. Therefore, the citizens must have an identity and a culture that is the vision they see to reality and the standard in which they propose solutions to their problems, and citizenship in one country will be fragile if it has multiple identities and may lead to fragmentation, and in the case of the possibility of unification of identities in one country necessarily leads to the construction of a strong one and true citizenship, meaning that the different in the same country because of multiple identities must meet to determine the principle. Then they need to look at how they are achieving this goal, and on the basis of their in-depth understanding of the fact: These are our situations and our differences. Let us look for a genuine and proportionate solution, which necessarily requires some concessions and compromises.We will discuss the subject through two studies:First: Citizenship, national affiliation and integration.Second: Identity is historical and cultural specificity.Then the conclusion and the list of margins
English Education Department Students’ Difficulties in Translating English News Report

Different language systems between English and Indonesian cause difficulties in communication, both written and oral. This case can be solved with translation. This research aims to find about types of translation difficulties in translating English news reports encountered by the fourth semester of English Education Department students of Tarbiyah and Teacher Training Faculty at UIN Antasari Banjarmasin. This research is a qualitative descriptive research by analyzing the text of the news report entitled "London is the Best Destination in the World in the 2019 Trip Advisors Travellers' Choice Awards," published on 29 March 2019 at 00.48:00 a.m translated into Bahasa Indonesia by involving 50 of the students. The number of the students are the participants taken by using purposive sampling. The writers collect the written documents due to translating the text of the English News Report by the students, analyze the words, phrases, and sentences to find the students' difficulties based on Hartono's theory. There are four difficulties the writers found in this study. The difficulties are lexical, grammatical, stylistic, and cultural difficulties.
Do Electronic Information Resources Improve Student Academic Performance? Case at the Student of Management Study Program in Yogyakarta Indonesia

The use of information technology is an integral part of the learning process in the University. The research aimed to find out empirical evidence of the impact of electronic information resources on improving the academic performance of students in the Management Study Program. The research model used mediation regression with SEM and the PLS statistical software. Purposive sampling with 210 respondent. Electronic information resources were measured by the availability of software application infrastructure, online journals, online databases, institutional repositories, e-books, e-journals, and websites. Electronic information resources were measured by using skills electronic information resources in the learning process, making final assignments, publications. Academic performance was measured from the teaching and learning process, publications of students, improvement of achievement index, contribution to society. The results showed that the availability of software application infrastructure, online journals, online databases, institutional repositories, e-books, e-journals, and websites had an effect on academic performance. Habits or use fullness of using electronic information resources mediated the effect of electronic information resources on academic performance.
A Picture is Worth a Thousand Words: A Unified System for Diverse Captions and Rich Images Generation

A creative image-and-text generative AI system mimics humans' extraordinary abilities to provide users with diverse and comprehensive caption suggestions, as well as rich image creations. In this work, we demonstrate such an AI creation system to produce both diverse captions and rich images. When users imagine an image and associate it with multiple captions, our system paints a rich image to reflect all captions faithfully. Likewise, when users upload an image, our system depicts it with multiple diverse captions. We propose a unified multi-modal framework to achieve this goal. Specifically, our framework jointly models image-and-text representations with a Transformer network, which supports rich image creation by accepting multiple captions as input. We consider the relations among input captions to encourage diversity in training and adopt a non-autoregressive decoding strategy to enable real-time inference. Based on these, our system supports both diverse captions and rich images generations. Our code is available online.
Using English Vlog within YouTube as A Tool to Enhance Speaking Skills

The objective of this study is to explore students' perceptions of English vlog within YouTube as a tool to improve speaking skills.Participants of this study are 59 fourth-year undergraduate students from a university in Malaysia.The descriptive quantitative research design was employed in this study.Students' perceptions of using English vlog within YouTube to help improve speaking skills were revealed through a questionnaire.There were 4 sections and 30 survey questions.Findings reveal that English Vlog within YouTube offers many positive changes towards students' speaking skills in the aspects of language learning and motivation.Students learn many new vocabularies, proper pronunciation, contextual words, and different slangs besides the increase in motivation to speak in English.Thus, it is encouraged that teachers use English Vlog with YouTube more frequently to enhance students' speaking skills.Furthermore, language programme developers and institutions of higher learning may consider using this technology to improve English speaking skills.
An Improved Adaptive Time Difference Estimation Method Based on Median Filter in Impulse Environment

Boiler tube burst is the main reason for the unplanned shutdown of thermal power plants.The time difference can be estimated and analyzed by the acoustic signal generated when the boiler tube leaks, and the time difference can be converted into a distance difference to locate the leakage point.The accuracy of positioning depends on the accuracy of the time difference estimation, and the various background noises produced by the complex production environment of the boiler and the impulse noise generated by the uncertain factors in the signal acquisition circuit have a non-negligible effect on the accuracy of the time difference estimation.Aiming at the problem that the signal does not have obvious second-order statistics in the environment of impulse noise, a Wiener weighted adaptive time difference estimation method based on median filtering is proposed.First, the median filter is used to remove the impulse points in the noise to make it obey the normal distribution and have second-order statistics; Next, select the generalized correlation method based on the Wiener weighting function of linear minimum mean square error to eliminate the influence of noise; Finally, according to the characteristics of the generalized correlation method that relies on the prior knowledge of the signal but the ability to suppress noise and the characteristics of the adaptive method that the ability to suppress noise is weak but does not rely on the prior knowledge of the signal, the two methods are combined to form a Wiener-weighted generalized correlation and its adaptive method.Simulation experiments prove that the Wiener weighted adaptive time difference estimation method based on median filtering has better estimation performance under impulsive noise than the adaptive minimum average p-norm method based on fractional low-order statistics.
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following

An interactive instruction following task has been proposed as a benchmark for learning to map natural language instructions and first-person vision into sequences of actions to interact with objects in 3D environments. We found that an existing end-to-end neural model for this task tends to fail to interact with objects of unseen attributes and follow various instructions. We assume that this problem is caused by the high sensitivity of neural feature extraction to small changes in vision and language inputs. To mitigate this problem, we propose a neuro-symbolic approach that utilizes high-level symbolic features, which are robust to small changes in raw inputs, as intermediate representations. We verify the effectiveness of our model with the subtask evaluation on the ALFRED benchmark. Our experiments show that our approach significantly outperforms the end-to-end neural model by 9, 46, and 74 points in the success rate on the ToggleObject, PickupObject, and SliceObject subtasks in unseen environments respectively.
LibGuides: Discovery of Scholarly Open Access Content: What is Open Scholarship?

Looking for access to scholarship without having to sign in? This guide provides pathways to finding scholarly open access content and highlights major initiatives with digital humanities and open scholarship
The partial response SVM

We introduce a probabilistic algorithm for binary classification based on the SVM through the application of the ANOVA decomposition for multivariate functions to express the logit of the Platt estimate of the posterior probability as a non-redundant sum of functions of fewer variables (partial responses) followed by feature selection with the Lasso.The partial response SVM (prSVM) is compared with previous interpretable models of the SVM.Its accuracy and stability are demonstrated with real-world data sets.
Discipline Construction and Teaching Reform of “Chinese Curriculum and Teaching Theory in Middle School”

Middle school Chinese curriculum and pedagogy are the carriers of students’ teaching methods and contents. From the nine-year basic compulsory education reform to now, the publication of middle school Chinese curriculum and pedagogy teaching materials has increased year by year in quality. From the perspective of teaching, middle school Chinese curriculum still has many shortcomings in the process of teaching reform and discipline construction. Therefore, this paper discusses the strategies of teaching construction and reform, in order to improve the teaching quality of the subject, clarify the significance of middle school Chinese curriculum teaching reform and discipline construction, and combined with the current situation of teaching construction and discipline reform.
IMPLEMENTASI PELAKSANAAN E-LEARNING DI ERA PANDEMIC COVID-19 (Studi Pada Prodi PG PAUD Universitas Bengkulu)

This study aims to describe the implementation of e-learning in the PG PAUD Study Program, Bengkulu University. The method used is descriptive qualitative. The informants in this study were 8 people involved in the implementation of e-learning. Techniques of collecting data by interview, observation, documentation. Based on the field findings, it can be results are: (1) The PG PAUD Study Program has prepared a policy foundation in the form of an e-learning implementation mechanism, with training. (2) Planning e-learning refers to what has been compiled from the syllabus. (3) The implementation of e-learning students can integrate learning with the implementation of e-learning. (4) Evaluation of e-learning is combined with academic information, evaluation, communication, discussion until the implementation runs well. (5) There are supporting factors such as: network, and inhibiting factors such as: signal, and internet pulse.
INCREASING TEACHERS' CAPABILITIES IN DISTANCE LEARNING USING THE GOOGLE CLASSROOM APPLICATION THROUGH PERSONAL ASSISTANCE OF TEACHERS IN KEMPONG KALIBAWANG, KULON PROGO DISTRICT, 2020/2021

This research is motivated by teachers who are still not ready to face distance learning during the Covid-19 pandemic. To overcome this problem researchers take corrective actions through school action research which aims to improve the ability of teachers and researchers to provide personal assistance using the Google Classroom application program for learning. distance and improve school performance in order to be able to compete in the field of graduation. The research design uses a qualitative design, while the data collection technique uses the method of documentation and observation. The data analysis technique was carried out through a qualitative descriptive model consisting of data reduction, data presentation, and drawing conclusions. The results of this study can be seen from the increase in the results of the ability of the participants in personal assistance and the implementation of activities by resource persons from before the action in cycles I and II. In the pre-cycle of participants who got an average score of 3.52, the percentage was 88.04% with the "Very Good" category, there was 1 person while the average score was 3.12, the percentage was 78.12%, the conversion value reached 3, the next 6 participants got a score of 2, the category "Quite Good". Based on the teacher's ability in the first cycle it reached 74.65% if converted the value obtained 3, with the "Good" category while in the second cycle it reached 87.49%, if the conversion value obtained a value of 4, with the "Very Good" category. Based on the implementation of mentoring by the resource persons in the first cycle, it reached 87.46%, if converted the value obtained 4, with the "Very Satisfactory" category while in the second cycle it reached 91.22% if converted the value obtained 4, with the "Very Satisfactory" category
Theoretical Research and Application of SLA Based on Network Platform

The national policy “One Belt and One Road” of China region makes the demand for all kinds of language talents be increasing day by day. For language learners, the opportunities available to them are self-evident when they can effectively master a foreign language. This paper mainly studies and discusses the scientific theory of language learning, i.e. the essence of the theory of second language acquisition and use, in order to help more learners understand, use the theory of second language acquisition, and receive the most effective learning results in a shorter time.
Credal Clustering for Imbalanced Data

Traditional evidential clustering tends to build clusters where the number of data for each cluster fairly close to each other. However, it may not be suitable for imbalanced data. This paper proposes a new method, called credal clustering (CClu), to deal with imbalanced data based on the theory of belief functions. Consider a dataset with \(\mathcal {C}\) wanted classes, the credal c-means (CCM) clustering method is employed at first to divide the dataset into some (i.e., \(\mathcal {S}~(\mathcal {S}>\mathcal {C})\)) clusters. Then these clusters are gradually merged following a given principle based on the density of meta-clusters and the associated singleton clusters. The merging is finished when \(\mathcal {C}\) singleton wanted classes are obtained. During this merging procedure, the objects in each singleton cluster will be assigned to one new singleton class. Moreover, a weighted mean vector rule is developed to classify the objects in the unmerged meta-cluster to the associated new classes using the K-Nearest neighbor technique. Two experiments show that CClu can handle imbalanced datasets with high accuracy, and the errors are reduced by properly modeling imprecision.
Living habits during the COVID-19 pandemic: repercussions on body weight and anxiety Levels

EnglishAbstract: The COVID-19 pandemic has changed people’s life routines due to the obligation to stay at home, which can result in changes in behavior.Objective: To identify changes in lifestyle habits during the COVID-19 pandemic, relating to changes in body weight and reported levels of anxiety.Method: Cross-sectional study with adults of both sexes, in which data were collected through an online questionnaire, with the aid of the Google Docs tool. Results: 258 people participated, 192 (74.4%) women, eutrophic aged between 18 and 73 years. It was observed that 146 (56.6%) gained weight and among these 105 (71.9%) used more applications to order meals, 104 (74.7%) reported higher intake of sweets and 105 (71.9%) of high-calorie snacks, in addition to longer screen time and anxiety. Negative changes in emotional state were reported by 175 (67.8%) participants, 150 (58.1%) stated that anxiety increases their appetite; 206 (79.8%) reported increased anxiety and among these 64.6% used more meal ordering apps and 65% reported higher intake of sweets and snacks.Conclusion: The changes in lifestyle that occurred during the pandemic reported by most respondents were associated with weight gain and increased levels of anxiety, factors that can affect immunity and increase the risk of COVID-19. portuguesResumo: A pandemia do COVID-19 tem alterado a rotina de vida das pessoas pela obrigatoriedade de permanencia em casa, o que pode resultar em mudancas de comportamento.Objetivo: Identificar alteracoes nos habitos de vida durante a pandemia da COVID-19, relacionando as alteracoes de peso corporal e aos niveis de ansiedade relatados.Metodo: Estudo transversal com adultos, de ambos os sexos, no qual os dados foram coletados por meio de questionario online, com auxilio da ferramenta Google Docs.Resultados: Participaram 258 pessoas, sendo 192 (74,4%) mulheres, eutroficos com idade entre 18 e 73 anos. Observou-se que 146 (56,6%) ganharam peso e, dentre estes, 105 (71,9%) utilizaram mais aplicativos para pedido de refeicoes, 104 (74,7%) relataram maior ingestao de doces e 105 (71,9%) de lanches caloricos, alem de maior tempo de tela e ansiedade. Alteracoes negativas no estado emocional foram relatadas por 175 (67,8%) participantes, 150 (58,1%) afirmaram que a ansiedade aumenta seu apetite; 206 (79,8%) relataram aumento de ansiedade e dentre estes 133 (64,6%) utilizaram mais aplicativos de pedido de refeicoes e 65% relataram maior ingestao de doces e lanches.Conclusao: As alteracoes nos habitos de vida ocorridas durante a pandemia relatada pela maioria dos entrevistados estavam associadas ao ganho de peso e aumento nos niveis de ansiedade, fatores que podem afetar a imunidade e elevar o risco a COVID-19.
Perkembangan Bahasa pada Anak Usia Dini 4-5 Tahun Ditinjau dari Aspek Sintaksis dan Pragmatik di TK Anggrek Kencana Batang

This study was conducted to describe the development of language in children aged 4-5 years at TK Anggrek Kencana Batang, especially in the fields of syntax and pragmatics. This research uses descriptive qualitative research method. Examples of this research are two children in class A Tk Anggrek Kencana Batang. From the example of the two children, it is known that the syntactic and pragmatic aspects of children experience different developments. The author concludes that early childhood 4-5 years experience differences in the development of syntactic and pragmatic language. So, the researcher recommends that teachers understand the differences in these developments and stimulate students according to their development so that they continue to improve. Data was collected through interviews, observation, and documentation. The results of this study indicate that aspects of language are very important to be developed in every child who is still in the developmental stage. Because children's language skills are very influential on other aspects of child development. Early education has an important role in developing children's potential. The teacher must use a method that is in accordance with the child's learning pattern. Every child has their own needs and effective learning patterns.
Causality and Probability

The present chapter is concerned with the philosophical tradition of understanding causes as raising the probability of their effects. It discusses the probability theories of causality of Suppes and Granger and introduces Zellner’s idea of using causal laws to determine the relevance of the variables and lags to be included in a model representing relations of Granger causality. It also discusses causal Bayes nets theory and emphasizes that knowledge of causes that raise the probability of their effects can be employed for purposes of prediction, but less so for purposes of policy analysis. It finally mentions a number of problems that are potentially inherent to attempts to infer causality from probabilities when causality is understood in accordance with another philosophical tradition (that of understanding causes as causally dependent on instrumental variables).
PENGARUH PEMBELAJARAN E-LEARNING TERHADAP TINGKAT PEMAHAMAN SISWA KELAS XI IPS PADA MATA PELAJARAN EKONOMI DI SMA NEGERI 1 KOTA JAMBI

AbstractThis study aims to determine (1) the description of e-learning and the level of understanding of students in class XI IPS on economics subjects at SMA Negeri 1 Jambi City. (2) the effect of e-learning on the level of understanding of class XI IPS students on economics subjects at SMA Negeri 1 Jambi City. This research design uses quantitative research methods, with data collection techniques through observation, interviews, and questionnaires. Where the population in this study were 143 students with a sample of 106 students. The research instrument test technique used in this study is the validity and reliability test, while the classical assumption test used is Descriptive Analysis, Normality Test, Homogeneity Test, and Simple Regression Test. The results showed that (1) e-learning was included in the very poor category with an average TCR value of 49.52%, and the level of student understanding of 66.25% in the fairly good category. (2) E-learning has an influence on the level of understanding which can be seen from tcount &gt; ttable of 2.024 &gt; 1.658. So, Ha is accepted and Ho is rejected. That is, if the use of e-learning is carried out well in schools, it can train students' independence in the teaching and learning process, and the level of student understanding will be better if students can understand a material using e-learning.Keywords: E-Learning Learning, Level of Understanding