Reviewerly/exHarmony huggingface dataset:
InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation

Diffusion models have garnered considerable interest in the field of text generation. Several studies have explored text diffusion models with different structures and applied them to various tasks, including named entity recognition and summarization. However, there exists a notable disparity between the “easy-first” text generation process of current diffusion models and the “keyword-first” natural text generation process of humans, which has received limited attention. To bridge this gap, we propose InfoDiffusion, a non-autoregressive text diffusion model. Our approach introduces a “keyinfo-first” generation strategy and incorporates a noise schedule based on the amount of text information. In addition, InfoDiffusion combines self-conditioning with a newly proposed partially noising model structure. Experimental results show that InfoDiffusion outperforms the baseline model in terms of generation quality and diversity, as well as exhibiting higher sampling efficiency.
HUBUNGAN KEPERCAYAAN DIRI TERHADAP PERILAKU MENCONTEK PADA SISWA DI SMP NEGERI 2 GEMPOL

Cheating behavior is an act that someone does to get maximum results by ignoring applicable rules and can have a lasting impact on the order of life and this behavior is one of the causes of a person's lack of confidence in the abilities they have. So this study aims to determine the relationship between self-confidence and students' cheating behavior at SMP X. This study uses a quantitative method with the subject of students of SMP X. In this study, a sample of 217 students of SMP X was used which was obtained from the saturated sample technique. Data collection techniques were carried out using a self-confidence scale and a cheating behavior scale with variable measurements using a Likert scale. Data were analyzed by testing the hypothesis using Pearson's Correlations with the help of Windows JASP 16.3. The results of the analysis obtained are r = 0.238 &lt;0.05 and p = &lt;0.001 so that the hypothesis is accepted and there is a significant relationship, meaning that there is a relationship between self-confidence and cheating behavior. This study also found a negative relationship and an adjusted R square value of 0.065 or 7%, which means that the effect of self-confidence and cheating behavior has a very low level of relationship.
PENGARUH LAYANAN KONSELING DENGAN TEKNIK BEHAVIOR CONTRACT DALAM MENGURANGI PERILAKU MENYONTEK SISWA DI SMA “X” DI SIDOARJO

Cheating behavior is a deviant maladaptive behavior and has a negative impact, thus reflecting an interest in learning and learning that is not effective. The problem at SMA "X" in Sidoarjo is cheating behavior that occurs in students which is difficult to stop and becomes a culture every year. This study aims to determine the effect before and after counseling services are carried out with the behavior contract technique. This research method uses a pure experiment, namely Randomized Control Trial (RCT) in a random way to determine the experimental group and the control group in one class. The sample used was class 10 with a total of 20 students, 10 students became the experimental group and 10 students became the control group, each of which was given a pre-test and post-test using a Likert scale of cheating behavior. Data analysis technique used independent sample t test and paired sample test using JASP 0.16. Student cheating behavior before being given counseling services was 94.4 then after being given counseling it decreased by 76.3 and was supported by the hypothesis Ha was accepted because t = 3.606 p = 0.002 &lt;0.05 and H0 was rejected, indicating a significant influence on the counseling behavior contract in reducing cheating behavior on students of SMA "X" in Sidoarjo.
Predicting Number of Accumulative Cases of Covid-19 Using the Iteration Method

The COVID-19 pandemic, first identified in Wuhan, China in December 2019, has rapidly spread to various countries, including India and Indonesia. This study utilizes data from the cumulative cases in India and Indonesia, espand specific provinces within Indonesia, such as DKI Jakarta and Gorontalo, spanning a period of approximately two years. The proposed method incorporates factors such as expected recovery and mortality rates to determine the maximum daily growth, which deviates from exponential growth and tends towards stability or decline. RStudio software was employed to estimate future trends based on the current available data. The results indicate that Indonesia, Jakarta, and Gorontalo exhibit a sloping average growth rate over the past 30 days, while India demonstrates linear movement compared to the previous period. A 20% increase in growth rate in Jakarta leads to a significant rise in new cases compared to the other regions. Conversely, a 0% growth rate reduction in India and Gorontalo results in a notable deviation of cumulative case numbers from the actual data. This method can be applied to analyze similar problems if in the future there is another spread of pandemic diseases.Keywords: COVID-19, Iteration Method, Exponential Growth, Gorontalo and DKI Jakarta.
Pengaruh Model Pembelajaran Kontekstual terhadap Kreativitas Menulis Puisi Siswa Kelas 5 Sekolah Dasar

This study explores the impact of Contextual Learning Model (CLM) on the creativity of writing poetry in fifth-grade elementary school students. An experimental method was employed by dividing students into an experimental group receiving CLM and a control group receiving conventional teaching. Data were collected through creativity tests for writing poetry before and after the intervention. The results indicate a significant improvement in poetry writing creativity in the experimental group compared to the control group. Students engaged in contextual learning demonstrated better abilities in producing unique and meaningful poetry. CLM provides opportunities for students to actively participate in the learning process, fostering creative thinking and linking learning to real-world contexts. This research contributes to practical and theoretical understanding of the effectiveness of CLM in enhancing poetry writing creativity at the elementary school level.
Pengaruh Metode Bercerita terhadap Kemampuan Menulis Narasi pada Siswa Kelas 3 Sekolah Dasar

In this research, we examined the influence of storytelling methods on the narrative writing abilities of third-grade students. The study involved students participating in various storytelling activities as a teaching approach. Data were collected through narrative writing tests before and after the intervention. The data analysis results indicated a significant improvement in narrative writing skills after the introduction of storytelling methods. Evaluation took into account factors such as creativity, narrative structure, and vocabulary usage. Implications of these findings include recommendations to incorporate storytelling methods as a learning strategy to enhance narrative writing skills at the elementary school level. This study contributes to a practical understanding of the implementation of storytelling methods in elementary education and emphasizes the importance of developing engaging learning strategies to enhance students' literacy skills.
A study on the distribution pattern and discourse functions of conjunctive adverbs in the early 20th century

The purpose of this paper is to study the distribution and functional characteristics of conjunctive adverbs appearing in spoken language corpus of the early 20th century. Through this, we presented the patterns in which conjunctive adverbs were used in spoken language and attempted to argue that the multi-layered connecting function of conjunctive adverbs was formed and continued during the early modern Korean language. Similar to the 21st century, conjunctive adverbs in the early 20th century had a distributional characteristic in which ‘그러-’ type conjunctive adverbs {그러면}, {그러나}, {그리고}, {그런데}, {그래서} appeared with high frequency. On the other hand, there were differences by period in the distribution of individual lists of conjunctive adverbs, and this was interpreted to be related to the formation period of individual conjunctive adverbs, register, and the expansion and contraction of their functions. Meanwhile conjunctive adverbs in the early 20th century also performed discourse functions in addition to general connecting functions. The discourse functions of conjunctive adverbs showed various aspects, including ‘utterance beginning’, ‘utterance finishing’, ‘utterance evading’, ‘filler’, ‘interruption’, ‘positive’, ‘utterance prompting’.
Zotero’s Training to Improve Citation Skills in the Preparation of Students' Final Project

This activity was carried out focusing on managing references using the Zotero application. The target of this training is the final semester students of the Fishery Product Technology of Nunukan State Polytechnic who are preparing for the preparation of the final project. Initial observations showed that students experienced difficulties related to reference management. This training uses a participatory approach. The stages carried out are preparation, implementation, and closing. The preparation is used to design materials and teaching materials. The implementation stage was divided into two sessions. After being given a description of the material, the speaker and the participants practiced using the Zotero. Zotero’s practice starts from the installation process to creat a bibliography. The participants were instructed to follow directly every step exemplified by the speaker. Participants can directly ask if they have difficulty following the instructions. The implementation of the training was conducive and most participants were able to participate well. Participants were able to apply citation-making in scientific papers and were able to follow directions with enthusiasm. Based on the response questionnaire, 80% stated that the Zotero training was very helpful for students to manage the references used to prepare of the final project.
USER INTERFACE AND EXPERIENCE IMPLEMENTATION ANALYSIS ON THE MADRASAH ALIYAH RAUDATUL YATAMA INFORMATION SYSTEM

The use of information technology in the field of education aims to make educational organizations or institutions more efficient. One example of information technology in the world of education is building a school information system, one of which is the academic information system for Madrasah Aliyah Raudatul Yatama. Based on the evaluation results of improving the quality of the Raudatul Yatama Madrasah Aliyah information system, the suggestions for improvement that are the focus are the measurement aspects that direct the user interface to a simpler level but have high usability. Because more than half of the respondents stated that the user interface still needs development both in terms of appearance and usability, Therefore, the developer of the Madrasah Aliyah Raudatul Yatama information system can focus more on the aspects included in these criteria for better system quality.
Identity and Access Control Techniques for Enhanced Data Communication in Cloud

The preservation of sensitive data and prevention of unauthorized access are critical objectives in cloud computing environments, necessitating the implementation of robust security measures. The present study delves into the amalgamation of the Hierarchical Role Based Access Control Model (HR-ACM), Composikey, a composite key encryption algorithm, and Interactive Tree Based zero knowledge protocol (ITZKP) to construct a robust security framework for cloud security. This study presents an investigation into the viability and efficacy of integrating HRACM, Composikey, and ITZKP as a means of augmenting security measures and reducing potential hazards in cloudbased systems. The execution times comparison of the Composikey, IBPRE, and KPRE models were compared for different filesizes (1 KB to 2 GB) to evaluate the performance of the HRACM method. As roles increase, RBAC a execution time increases significantly. The HRACM Method takes 0.001 to 0.002 seconds to implement across all role counts. The results show that the HRACM Method is more efficient and time-effective than the RBAC Method. The response time measured in microseconds for the existing ZKP and Libra systems for different file sizes, ranging from 1KB to 1 GB. The results reveal that the verifier time for the ITZKP system aligns closely with the existing systems, demonstrating its ability to perform efficient verification processes. These findings collectively demonstrate the potential of the integrated security framework in enhancing cloud security.
Research Review and Teaching Enlightenment of Multi-feedback Modes in English Writing Teaching

Amid the ongoing new curriculum reform in China and the evolving landscape of English writing evaluation methods and teaching philosophies, the feedback approach for writing is undergoing continuous refinement, moving towards a multi-feedback model. This paper, drawing from the principles of social cognitive theory, dynamic assessment theory, and self-regulated learning theory, delves into the relevant literature concerning multi-feedback modes in English writing instruction. It examines the practical significance of employing multi-feedback techniques and offers fresh insights into their application in English writing education. Educators are encouraged to experiment with diverse approaches to English writing feedback, empowering students to take a leading role in the process, and fostering the development of students' core literacy skills.
Technical Error Factors On Panoramic Radiographic Examination At The Radiology Installation Of Unjani Dental and Mouth Hospital

Panoramic is a three-dimensional curved zone where anatomical structures are well defined on panoramic radiography. Panoramic radiography includes a detailed anatomy of the jaw complex with some superimpositions and distortions that can be exacerbated by technical errors in image acquisition as well as many extra-jaw anatomical structures that are able to give clear description to interpretate. Therefore, in obtaining a panoramic radiograph it is necessary to obtain the desired structure with high quality and minimal distortion. Errors that often occur in producing good panoramic radiographs are technical errors or when positioning the patient and during the panoramic examination. The purpose of this study was to determine the main factors causing the errors so that technician can produce good quality radiographs, take into account patient placement at the time of examination, perform film processing, and handle general film procedures. The research method used was a quantitative method with a descriptive observational approach. The number of samples was 64 radiographs, which are adult patients over 18 years old with the use of exposure factors in the range of 60kV, 10mA and 16.4s. All radiographs were taken by qualified radiographers with more than 5 years of experience. The radiographs were viewed and observed without any modification on a computed radiography monitor screen. Radiographic results will be evaluated by experienced technician who have worked more than 5 years. Evaluation is obtained by analyzing the data descriptively in the form of assessment of the percentage of rejection of panoramic radiographs to make conclusions. Out of the 2418 panoramic radiographs viewed, 2354 (97%) radiographs had no errors while 64 (3%) radiographs showed one or more positioning error. The most common positioning error observed in the radiographs was failuer to position chin tipped high (56,02%). Whereas the least common error recorded were movement and apron shadow (1.15%).
A Study on the Spillover Effect of FDI on Factor Productivity in China

본 논문은 DEA-Malmquist 지수법을 이용하여 2000∼2018년까지 중국 30개성시자치주(티베트 제외)를 대상으로 총요소생산성을 산정하고 정태적 패널 데이터와 동태적 패널 데이터를 이용하여 FDI가 중국 각 지역의 총요소생산성에미치는 파급효과를 실증적으로 분석하였다.&#x0D; 실증분석 결과를 요약하면 다음과 같다. 첫째, 중국의 2000년부터 2018년까지 30개 성, 시의 총요소생산성은 전반적으로 상승 추세를 보였다. 총요소생산성 구성 요소 중 기술진보지수는 기술효율지수보다 큰 것으로 확인되었으며, 따라서 현재 중국의 총요소생산성 향상은 주로 기술진보의 제고에 의해서 이루어지고 있다.&#x0D; 둘째, FDI와 무역확대는 중국 지역의 총요소생산성의 증가를 현저하게 촉진시킨 것으로 분석되어 기존 연구들의 “촉진론”과 일치하는 결과가 도출되었다. 중국 지역의 총요소생산성 증가는 단순히 해외기업의 기술시범과 모방 등에만의존하지 않고 FDI의 기술파급과 자주적 혁신의 결합을 통해 향상될 수 있었음을 나타내고 있다.&#x0D; 셋째, 선진국의 고기술 도입, 소화, 흡수, 재혁신의 순환과정을 통해 기술진보가 이루어졌으며, 나아가 총요소생산성 향상에 기여하고 선진국과의 기술격차를 단축할 수 있었다.&#x0D; 넷째, 추가적인 연구 결과에 따르면, 총요소생산성의 증가는 점진적으로 누적된 것으로 나타났는데, 이는 대외개방과 FDI 도임은 모두 기술 효율이 아닌기술 진보를 촉진함으로써 중국 각 지역의 총요소생산성의 증가를 제고시키는것으로 이어졌다고 할 수 있다.&#x0D; &#x0D; This paper uses the DEA-Malmquist index method to calculate the total factor productivity and its composition of 30 provinces, autonomous prefectures (except Tibet) in China from 2000 to 2018, and then uses static panel data and dynamic panel data to analyze the spillover effect of FDI on China’s regional total factor productivity carried out empirical analysis.&#x0D; The results show that. Firstly, the total factor productivity of 30 provinces and cities in China showed an overall upward trend from 2000 to 2018. Among the components of total factor productivity, the technological progress index is greater than the technical efficiency index, that is, the current improvement of China’s total factor productivity mainly depends on the improvement of technological progress. Secondly, FDI and trade openness have significantly promoted the growth of China’s regional total factor productivity, which is consistent with the “facilitation theory” in previous studies. The improvement of China’s regional total factor productivity no longer relies solely on the absorption of spillover channels such as FDI technology demonstration and imitation, and can be improved to a certain extent through the combination of FDI technology spillover and independent innovation. Thirdly, through the introduction-digestion-absorption-re-innovation of advanced technologies from developed countries, technological progress can be obtained relatively easily, which will help improve total factor productivity and shorten the gap with developed countries. Fourthly, further research shows that the growth of total factor productivity is a process of gradual accumulation. Both trade openness and FDI increase China’s regional total factor productivity growth by promoting technological progress rather than technological efficiency.
Exploring the Performance of Geometry-Based Markerless Registration in a Simulated Surgical Environment: A Comparative Study of Registration Algorithms in Medical Augmented Reality

Augmented Reality (AR) has been utilized in multiple applications in the medical field, such as augmenting Computed Tomography (CT) images onto the patient's body during surgery. However, one of the challenges in its utilization is to register the pre-operative CT images to the patient’s body accurately. The current registration process requires prior attachment of tracking markers, and their localization within the body and CT images. This process can be cumbersome, error-prone, and dependent on the surgeon's experience. Moreover, there are cases where medical instruments, drapes, or the body may occlude the markers. In light of these limitations, markerless registration algorithms have the potential to aid the registration process in the clinical setting. While those algorithms have been successfully used in other sectors, such as multimedia, they have not yet been thoroughly investigated in a clinical setting, especially in surgery, where there are more challenging cases with different positions of the patients in the image and the surgical environment. In this paper, we benchmarked and evaluated the performance of 6 state-of-the-art markerless registration algorithms from the multimedia sector by registering a CT image onto the whole-body phantom dataset acquired from a simulated surgical environment. We also analyzed the suitability of these algorithms for use in the surgical setting and discussed their potential for the advancement of AR-assisted surgery.Clinical Relevance—Our study provides insight into the potential of AR-assisted surgery and helps practitioners in choosing the most suitable registration algorithm for their needs to improve patient outcomes, reduce the risk of surgical errors and shorten the time of preoperative planning.
Uncertainty Estimation with Data Augmentation for Active Learning Tasks on Health Data

Supervised machine learning (ML) is revolutionising healthcare, but the acquisition of reliable labels for signals harvested from medical sensors is usually challenging, manual, and costly. Active learning can assist in establishing labels on-the-fly by querying the user only for the most uncertain –and thus informative– samples. However, current approaches rely on naive data selection algorithms, which still require many iterations to achieve the desired accuracy. To this aim, we introduce a novel framework that exploits data augmentation for estimating the uncertainty introduced by sensor signals.Our experiments on classifying medical signals show that our framework selects informative samples up to 50% more diverse. Sample diversity is a key indicator of uncertainty, and our framework can capture this diversity better than previous solutions as it picks unlabelled samples with a higher average point distance during the first queries compared to the baselines, which pick samples that are closer together. Through our experiments, we show that augmentation-based uncertainty makes better decisions, as the more informative signals are labelled first and the learner is able to train on samples with more diverse features earlier on, thus enabling the potential expansion of ML in more real-life healthcare use cases.
From Black Boxes to Actionable Insights: A Perspective on Explainable Artificial Intelligence for Scientific Discovery

The application of Explainable Artificial Intelligence (XAI) in the field of chemistry has garnered growing interest for its potential to justify the prediction of black-box machine learning models and provide actionable insights. We first survey a range of XAI techniques adapted for chemical applications and categorize them based on the technical details of each methodology. We then present a few case studies to illustrate the practical utility of XAI, such as identifying carcinogenic molecules and guiding molecular optimizations, in order to provide chemists with concrete examples of ways to take full advantage of XAI-augmented machine learning for chemistry. Despite the initial success of XAI in chemistry, we still face the challenges of developing more reliable explanations, assuring robustness against adversarial actions, and customizing the explanation for different applications and needs of the diverse scientific community. Finally, we discuss the emerging role of large language models like GPT in generating natural language explanations and discusses the specific challenges associated with them. We advocate that addressing the aforementioned challenges and actively embracing new techniques may contribute to establishing machine learning as an indispensable technique for chemistry in this digital era.