Reviewerly/exHarmony huggingface dataset:
Attitudes and Motivation of Non-Native Chinese Language Learners towards Learning Chinese Language

Learning attitudes and motivation are among the most important factors that affect students' second language learning outcomes.Many previous studies also revealed that learning attitudes and motivation have a positive relationship with students' learning outcomes.However, non-native Chinese Language (CL) learners may require more attention.Hence, the objectives of this study are (1) to identify the Malaysian former SJKC non-native CL learners' proficiency levels; (2) to examine the non-native CL learners' language learning attitude and motivation levels; (3) to determine the relationship between the learners' CL proficiency and motivation levels.This study is both quantitative and qualitative in nature.The data collection methods used are mainly surveys and focused interviews.A total of 79 former SJKC non-native CL learners were chosen through the snowball sampling technique to answer the online questionnaires.In addition, focused interview sessions were conducted with six survey participants.The results showed there was a mild relationship (r=0.269) between motivation and CL proficiency level, even though the respondents showed a positive attitude and were highly motivated to learn the language.This result may be affected by factors other than attitude and motivation.The respondent's self-report data showed that 80% of the participants are low proficiency CL learners.Furthermore, interview data also revealed that parental involvement positively affects high-performing learners' learning motivation.Therefore, it is expected that all these factors might have affected the correlation analysis result.It is recommended that further research could delve into how these factors affect CL acquisition among non-native CL learners.
Evaluation of Flood and Drought Events Using AR5 Climate Change Scenarios in Indonesia

Indonesia is an archipelagic country located on the equator. The issue of climate change has become a global issue that has impacted several sectors in Indonesia recently. The presence of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) has contributed to conducting studies on flood and drought events. This review paper summarized 16 published papers that have gone through peer-review, both in the form of publications in journals and at conferences. Since the release of the IPCC AR5 to date, ten studies on flooding and six studies on drought events have been conducted. The most publications on this in 2019 were five publications. Of the various types of the Representative Concentration Pathway (RCP) scenarios used with various methods, the most widely used scenario RCPs is RCP4.5. From the climate change scenario, precipitations parameter is the main parameter that is used in assessing flood or drought events. There are studies conducted on a district / city, provincial scale, and some are even carried out on a watershed scale. The location or province that most flood studies have been carried out is in the capital of Jakarta. The results of these studies generally indicate that the incidence of floods and droughts will increase in the future. Therefore, adaptation steps are needed to deal with unfavorable conditions in the future. Moreover, as the capital city, Jakarta has been estimated that the projected flood incidence will increase. Several publications have provided steps to deal with these challenges on the positive side.
AI Based Student’s Assignments Plagiarism Detector

Abstract: The increase in plagiarizing academic contents led to efficient plagiarism detectors. In the conventional plagiarism detection tools, we have to put the contents from our paper or assignment and paste it into the input box for checking plagiarism or we have to load our files separately. Software under the domain artificial intelligence is moving towards the creation of a systems that can make tasks hassle-free and it also saves the time. “Smart Assignment Plagiarism Detector” can provide easy and efficient way of checking plagiarised data for teachers just in a single click by uploading a folder. This paper explains how our system is solving the problem of plagiarism through the use of algorithm in artificial intelligence
Changes in educational adaptation during the covid-19 pandemic in Paraguay, 2020-2021

During the years 2020 and 2021, global education was significantly impacted by the COVID-19 pandemic. The sudden change in educational modality caused the different actors to adapt at breakneck speed and with the often-limited resources available to them. The present study aims to show and analyze the educational changes that have occurred during the last two years in Paraguay through the statements collected from three actors directly involved in the teaching-learning process: teachers, high school and university students, and parents of school-age children from different parts of the country. The data collection was carried out in three different phases: Mar-May 2020, Nov-Dec 2020 and Nov-Dec 2021. The results show significant changes in terms of access to technological tools such as computers and internet and demonstrate high proportions of actors who used WhatsApp and educational platforms as the main channels of communication and sending homework. In addition, they highlight the reading of materials and worksheets as those activities mostly proposed during the two years. The results also revealed significant difficulties related to internet connectivity, lack of understanding of tasks, motivational aspects, and lack of time for adequate dedication to the activities proposed. Nevertheless, several stakeholders highlighted that the educational modality implemented was of interest to them due to certain advantages that could be taken advantage of and improved in a normal educational system.
Universal almost optimal compression and Slepian-Wolf coding in probabilistic polynomial time

In a lossless compression system with target lengths, a compressor ${\cal C}$ maps an integer $m$ and a binary string $x$ to an $m$-bit code $p$, and if $m$ is sufficiently large, a decompressor ${\cal D}$ reconstructs $x$ from $p$. We call a pair $(m,x)$ $\textit{achievable}$ for $({\cal C},{\cal D})$ if this reconstruction is successful. We introduce the notion of an optimal compressor ${\cal C}_\text{opt}$, by the following universality property: For any compressor-decompressor pair $({\cal C}, {\cal D})$, there exists a decompressor ${\cal D}'$ such that if $(m,x)$ is achievable for $({\cal C},{\cal D})$, then $(m+\Delta, x)$ is achievable for $({\cal C}_\text{opt}, {\cal D}')$, where $\Delta$ is some small value called the overhead. We show that there exists an optimal compressor that has only polylogarithmic overhead and works in probabilistic polynomial time. Differently said, for any pair $({\cal C}, {\cal D})$, no matter how slow ${\cal C}$ is, or even if ${\cal C}$ is non-computable, ${\cal C}_{\text{opt}}$ is a fixed compressor that in polynomial time produces codes almost as short as those of ${\cal C}$. The cost is that the corresponding decompressor is slower. We also show that each such optimal compressor can be used for distributed compression, in which case it can achieve optimal compression rates, as given in the Slepian-Wolf theorem, and even for the Kolmogorov complexity variant of this theorem. Moreover, the overhead is logarithmic in the number of sources, and unlike previous implementations of Slepian-Wolf coding, meaningful compression can still be achieved if the number of sources is much larger than the length of the compressed strings.
Nursing Diagnosis Frequently Enforced by Nurse to Clients with Ischemic Stroke

Aims : This study is to find out the most diagnoses in stroke patients so that they can arrange appropriate interventions. Design: This study is a retrospective study using the descriptive anaysis. Methods :. The population of this study were all medical records of patients with stroke in 2018 - 2019 in Installation of Tanjungpura University Hospital. The study sample was selected using a purposive sampling method with inclusion criteria, namely patients with ischemic stroke, active patients undergoing outpatient care. The number of samples used was 100 medical record documents of stroke patients. The method of data collection is carried out by checklist instrument. Results : The results of the study were 6 nursing diagnoses that were often enforced by nurses in ischemic stroke patients, namely nursing diagnoses of . Impaired physical mobility ( 59 %), acute pain ( 24%), activity intolerance ( 7%), risk for ineffective cerebral tissue perfusion (5%), impaired verbal communication (3%) and impaired skin integrity (2%). However, of the 6 diagnoses, there were 2 nursing diagnoses written that were not in accordance with the labels on the 2015-2017 NANDA, however namely impaired skin integrity (100%) and impaired verbal communication (46%). Conclusions : It is recommended to increase the socialization of nursing diagnoses so that nurses write a diagnosis according to the diagnosis label used as a reference for writing documentation.
Error Analysis of Simple Present Tense Using in Students' Descriptive Writing

Simple present tense is one of the most complex tense in English. Because of the different pattern between the students’ mother tongue and English as the target language, students often make errors in producing sentences. The objective of the research is to find out what type of error which mostly appears when students use Simple Present Tense in descriptive writing. This research is a descriptive qualitative research combined with error analysis methodology using Surface Strategy Taxonomy. The research participants were 50 students of Bina Sarana Informatika University majoring Management. The result of the research showed that the most common errors made by students were misformation errors which happened as much as 54%. The second most common errors which appear in students’ descriptive writing were omission errors as much as 24% which number was not much different with addition errors as much as 20%. The least type of error found in students’ descriptive writing was misordering error as much as 2%.
Increasing public speaking capabilities for youth organization Persatuan Pemuda Mangindara

Persatuan Pemuda Mangindara is a youth organization that has the obligation of helping to create the welfare of the villagers. The problem found that youth organization members are generally still clumsy and do not have sufficient knowledge and skills in terms of public speaking. For this reason, public speaking training is needed that helps increase self-confidence and provides knowledge and basic speaking techniques. This public speaking training is carried out in several stages, starting from the preparation stage (observation and interview), the implementation stage (pre-presentation, initial evaluation, orientation, post-presentation, and feedback), and the evaluation stage. This training provides knowledge and improves basic public speaking skills for youth organization members to become good presenters, able to deliver speeches correctly and be more confident in interacting, communicating, and socializing with the community.
Batik stamp training with pesut fish motif at Pela Tourism Village, Kutai Kartanegara, East Borneo

Batik is one of the handicrafts that contributes to the national GDP. Apart from being a handicraft sub-sector, batik is also included in the fashion sub-sector. Thus, batik is a commodity that needs to be taken into account and developed so that it can continue to contribute to the national GDP. Some tourist areas in Indonesia make batik as a distinctive souvenir with the characteristics of each motif. Pela as one of the tourist villages in East Kalimantan also wants to develop batik which has a distinctive motif. For this purpose, the Pela Village tourism awareness group, funded by the RASI Conservation Foundation, held a training for batik stamped with the pesut fish motif. The training method used is by delivering theory and direct practice of making stamped batik with a pesut motif. The results obtained from the training, the participants were able to make their own porpoise stamped batik with natural coloring.
High-Resolution Semantically Consistent Image-to-Image Translation

Deep learning has become one of remote sensing scientists' most efficient computer vision tools in recent years. However, the lack of training labels for the remote sensing datasets means that scientists need to solve the domain adaptation problem to narrow the discrepancy between satellite image datasets. As a result, image segmentation models that are then trained, could better generalize and use an existing set of labels instead of requiring new ones. This work proposes an unsupervised domain adaptation model that preserves semantic consistency and per-pixel quality for the images during the style-transferring phase. This paper's major contribution is proposing the improved architecture of the SemI2I model, which significantly boosts the proposed model's performance and makes it competitive with the state-of-the-art CyCADA model. A second contribution is testing the CyCADA model on the remote sensing multi-band datasets such as WorldView-2 and SPOT-6. The proposed model preserves semantic consistency and per-pixel quality for the images during the style-transferring phase. Thus, the semantic segmentation model, trained on the adapted images, shows substantial performance gain compared to the SemI2I model and reaches similar results as the state-of-the-art CyCADA model. The future development of the proposed method could include ecological domain transfer, {\em a priori} evaluation of dataset quality in terms of data distribution, or exploration of the inner architecture of the domain adaptation model.
Optimizing the ability of ambulance drivers in handling emergency situations in Gunungkidul Regency, Yogyakarta

The ambulance driver is one of the parties that participates in helping victims. The purpose of this community service is to optimize the role of ambulance drivers in providing assistance in emergency conditions which include evacuation, stabilization, transportation. In an effort to optimize, counseling is needed related to emergencies that often occur. The implementation of this program is carried out in three stages, namely, pre-test, counseling, and post-test. This program succeeded in increasing the understanding of ambulance drivers regarding emergency conditions, both aspects of evacuation, stabilization, and transportation.
Calculation of number-average functionality and gel-point for stepwise polymerization

The number-average functionality is proposed a simplified equation which can be used to predict the reaction progress of the stepwise polymerization expediently. According to the equation, once the average functionality of one reactant ((f_b ) ̅, for example) is fixed, there will be a critical functionality of (f_a ) ̅. The reaction system has no risk to gel with the increase of component A if (f_a ) ̅ is below the critical functionality, while gelation will occur with the increase of component A if (f_a ) ̅ is higher than the critical functionality, and the gel point is the degree of reaction when (f_nb ) ̅ diverges to indefinitely large. The deduced equation is suitable for polymerization between R-An and R’-Bn, in which one of the components could be consumed completely, such as polyurethane, polyester, or other stepwise polymerization reactions. The equation can calculate the number-average functionality of polymer mixtures, especially for grafting or branched polymerization.
Study on the Sharing Mechanism of Economics and Management Experimental Teaching Resources

Experimental teaching is the key link for colleges and universities to cultivate innovative and entrepreneurial talents, and experimental teaching resources are the basis for ensuring the quality of experimental teaching. The uneven distribution of experimental teaching resources is a key problem faced by universities, and the resource-sharing mechanism is an effective means to solve this problem. Through the analysis of the current situation of the sharing of experimental teaching resources of economics and management majors in colleges and universities, the reasons for the lack of resource sharing are summarized. Combined with the main problems in the sharing of experimental resources, this conceptual paper proposes to strengthen the leading role of the government in the construction of the platform for sharing experimental resources, improve the promotion and incentive mechanism of experimental teachers, improve the management mechanism of experimental teaching, enhance the comprehensive service ability of the teachers of the experimental platform for sharing software and hardware resources, and expand the scope of mutual recognition of credits among universities, strengthen the exchange of laboratory talents and achievements to strengthen the construction of the sharing system of economic and management experimental teaching resources, so as to realize the complementary advantages of experimental teaching resources among colleges and universities, improve the utilization efficiency of experimental teaching resources, and jointly improve the quality of personnel training.
Implementation of 2013 Curriculum in Teaching English at Rural Areas Junior High Schools in Luwu Utara Regency

The aims of this research were: (1) to find out how teachers in rural areas implement the 2013 curriculum in teaching English (2) to find out what problems are faced by English teachers in rural areas in implementing the 2013 curriculum. This research used a qualitative method. The subjects of this research were English teachers of SMPN 9 Seko, SMPN 1 Seko, and SMPN 2 Seko. The total number of subjects was five English teachers. The procedure of this research was collected by doing observation and interviewing the English teachers using questionnaires. The results of this research showed that: first, implementation of the 2013 curriculum in Seko District as a rural area is still not going well and ineffective because there are still components of the teaching and learning process that have not been implemented systematically and precisely in the teaching and learning process. Second, the result based on the interview was the first problem that the teachers faced in teaching English in rural areas is the unavailability of learning media and most of the students still used their local language or mother tongue as a daily language which makes students usually do not understand well when teachers explain the lesson.
CLIP-TSA: CLIP-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection

Video anomaly detection (VAD) -- commonly formulated as a multiple-instance learning problem in a weakly-supervised manner due to its labor-intensive nature -- is a challenging problem in video surveillance where the frames of anomaly need to be localized in an untrimmed video. In this paper, we first propose to utilize the ViT-encoded visual features from CLIP, in contrast with the conventional C3D or I3D features in the domain, to efficiently extract discriminative representations in the novel technique. We then model temporal dependencies and nominate the snippets of interest by leveraging our proposed Temporal Self-Attention (TSA). The ablation study confirms the effectiveness of TSA and ViT feature. The extensive experiments show that our proposed CLIP-TSA outperforms the existing state-of-the-art (SOTA) methods by a large margin on three commonly-used benchmark datasets in the VAD problem (UCF-Crime, ShanghaiTech Campus, and XD-Violence). Our source code is available at https://github.com/joos2010kj/CLIP-TSA.
EVALUASI PEMBELAJARAN JARAK JAUH DENGAN MITRA STKIP BIMA PRODI PENDIDIKAN EKONOMI: STRATEGI PEMBELAJARAN ONLINE BY MS TEAMS DAN PERMASALAHANNYA

The implementation of PJJ during the COVID-19 pandemic has a high effectiveness value for implementing learning activities at the higher education level in particular and all education providers in general. The method of learning at home for students in each institution is different, because the facilities owned are different, the economic conditions of students and their parents are also different. So the purpose of this research is to focus on understanding online learning problems for partner students in the implementation of PJJ funded by the Directorate of Learning and Student Affairs, to understand distance learning strategies with Ms Teams and to understand the problems. The methodology in this study uses a qualitative approach where the informants are partner students, namely STKIP Bima and STKIP PGRI Lumajang students. To find out the focus of this research, researchers conducted covert interviews that were inserted during lectures and closed interviews for STKIP PGRI Lumajang students, and always made observations to innovate PJJ for one semester. From the evaluation results during the Odd semester of Distance learning for the 2021/2022 academic year, it is known that distance learning is indeed very effective for campuses in urban areas or those with stable internet networks. However, this is in contrast to education providers whose areas have network difficulties. Not only that, the availability of electricity and equipment is also an obstacle during the implementation of this distance learning. In evaluating distance learning with online learning strategies based on MS Teams, it is hoped that it can help partner students to keep learning during the pandemic with this distance learning program. lectures. The most prominent problems during distance learning activities are network problems and the availability of internet quota if the implementation of online lectures uses video, another problem is that partner students have not been able to apply Ms Teams learning media with the users provided. So it is recommended for further PJJ training and in-depth socialization related to the use of Office 365 users on Ms Teams and students need to increase motivation to learn interest during online learning.Keywords: Distance Learning, MS Teams and Online Learning Strategies
What Can AI Learn from Teachers and Students? A Contribution to Build the Research Gap Between AI Technologies and Pedagogical Knowledge

Artificial Intelligence and related technologies represent a major advance in the human capacity to produce knowledge from different areas of knowledge. The application of these technologies in repetitive human activities that can be learned by a machine is already a constant in society, but their use in education still needs research, especially pedagogical research, which can make it clear how AI can contribute effectively to teaching and learning processes, since these processes are marked not only by cognitive characteristics, but also by cultural and emotional aspects. Having identified this gap, we conducted a qualitative study with students and teachers from four EU countries in order to find out what they know about the use of technologies and AI in education, what are their concrete needs and the recommendations of teachers on the pedagogical use of AI in education. This is a contribution to the gap identified by other authors in research on AI and education. This study gives voice to the participants and addresses the issue from the perspective of education. The results point to (1) A knowledge of the topic only from the perspective of users, (2) High expectations of the impact of AI on education (3) Recommendations of adapting AI to learning purposes, (4) Attention to guarantees of inclusion, citizenship, and democracy.