Reviewerly/exHarmony huggingface dataset:
Pengaruh Pendidikan TB Melalui Whatsapp Reminder Berkala Terhadap Tingkat Pengetahuan Remaja di SMA Negeri 2 Denpasar

Tuberculosis that attacks adolescents aged 10-18 years tends to increase. Health education is one way to increase adolescent knowledge about how to prevent tuberculosis, one of the media that can be used for health education is WhatsApp. This study aims to determine the effect of TB education through WhatsApp periodic reminder on the level of knowledge of adolescents in SMA Negeri 2 Denpasar in 2019. The research design used was one-group pre-post test design. The number of samples was 44 people selected by quota sampling technique. The study was conducted in July to August 2019. Data collection used knowledge level questionnaires about TB. The results of this study the average value of knowledge of adolescents before being given health education at 11.68 and after being given health education at 19.02. Hypothesis testing uses paired t-test with p value = 0.001 (p &lt;0.05). The conclusion of this research is the effect of TB education through WhatsApp periodic reminder on the level of knowledge of adolescents, then it is recommended to do health education using WhatsApp media
DIGITAL COMPETENCIES OF HEADS OF THE EDUCATION SYSTEM: ELECTRONIC DOCUMENT MANAGEMENT IN THE CONTEXT OF FINANCIAL AND ORGANIZATIONAL MODELS OF INTERACTION BETWEEN EDUCATION AND SOCIETY

Information about the paper titled "DIGITAL COMPETENCIES OF HEADS OF THE EDUCATION SYSTEM: ELECTRONIC DOCUMENT MANAGEMENT IN THE CONTEXT OF FINANCIAL AND ORGANIZATIONAL MODELS OF INTERACTION BETWEEN EDUCATION AND SOCIETY" at IATED Digital Library
Protecting Semantic Segmentation Models by Using Block-wise Image Encryption with Secret Key from Unauthorized Access

Since production-level trained deep neural networks (DNNs) are of a great business value, protecting such DNN models against copyright infringement and unauthorized access is in a rising demand. However, conventional model protection methods focused only the image classification task, and these protection methods were never applied to semantic segmentation although it has an increasing number of applications. In this paper, we propose to protect semantic segmentation models from unauthorized access by utilizing block-wise transformation with a secret key for the first time. Protected models are trained by using transformed images. Experiment results show that the proposed protection method allows rightful users with the correct key to access the model to full capacity and deteriorate the performance for unauthorized users. However, protected models slightly drop the segmentation performance compared to non-protected models.
A Computational Model of Comprehension in Manga Style Visual Narratives

Author(s): Chen, Yi-Chun; Jhala, Arnav | Abstract: Understanding a sequence of images as a visual narrative is challenging because it requires not only the understanding of what is shown at a particular moment but also what has changed, been omitted or is out of frame. The human cognitive system makes inferences about the state of the world based on transitions between sequential frames. In this paper, we present a principled analysis of the stylistic differences between two dominant styles of multi-modal narratives, western comics and manga. These two styles differ in terms of screening, ballooning, layout, language, and reading order. We first provide a systematic account of these differences based on an annotated dataset consisting of both comics and manga. We then annotate these datasets with a new feature set and evaluate the contributions of these features through development of a computational model of multi-modal comprehension. The model evaluation is presented through the cloze test that measures the accuracy of the model in predicting unseen next frames given the prior frames in a sequence. Our results provide initial benchmarks and insight into the fundamental challenges that the multi-modal narrative understanding task presents for computational models both for language and vision.
APLIKASI PENCATATAN KERUSAKAN DAN PERBAIKAN MESIN PENDINGIN BERBASIS ANDROID

Showcase Cooler is a cooling machine that is used to preserve drinks and food so that they can be stored longer. In making repairs to the cooling machine currently still using paper which results in errors in recording data, wasteful use of paper because they have to recap data to be distributed to other parts. Android is a complex technology because it uses open source as the basis for the project that makes the smartphone operating system widely used today. The support for the software used in developing this application, namely Andoid Studio is a development software for developing android applications, Java functions as a programming language used to create software, and SQLite is a database that uses the user's internal storage device. This study uses the Black Box Testing method or functional testing because testing the software used without having to know the internal structure of the code or program. The resulting application is an android-based damage and repair recording system that is used for maintenance. Utilization of this technology so that maintenance can record repair damage to the machine using an Android-based smartphone in order to save on textbooks or paper media.
Investigating Vulnerabilities of Deep Neural Policies

Reinforcement learning policies based on deep neural networks are vulnerable to imperceptible adversarial perturbations to their inputs, in much the same way as neural network image classifiers. Recent work has proposed several methods to improve the robustness of deep reinforcement learning agents to adversarial perturbations based on training in the presence of these imperceptible perturbations (i.e. adversarial training). In this paper, we study the effects of adversarial training on the neural policy learned by the agent. In particular, we follow two distinct parallel approaches to investigate the outcomes of adversarial training on deep neural policies based on worst-case distributional shift and feature sensitivity. For the first approach, we compare the Fourier spectrum of minimal perturbations computed for both adversarially trained and vanilla trained neural policies. Via experiments in the OpenAI Atari environments we show that minimal perturbations computed for adversarially trained policies are more focused on lower frequencies in the Fourier domain, indicating a higher sensitivity of these policies to low frequency perturbations. For the second approach, we propose a novel method to measure the feature sensitivities of deep neural policies and we compare these feature sensitivity differences in state-of-the-art adversarially trained deep neural policies and vanilla trained deep neural policies. We believe our results can be an initial step towards understanding the relationship between adversarial training and different notions of robustness for neural policies.
Fuzzy Logic Implementation Using The Tsukamoto Method As A Decision Support System In Scholarship Acceptance

Scholarships are a supporting factor for students. In the process of determining who receives the scholarship we need a decision-making process is subjective, with the criteria some students who have the ability or value that is not so different. With the existence of a system that supports decision making in determining who is entitled to a scholarship. This system is supported by the Tsukamoto fuzzy logic method which is based on data or human resources rules with criteria that have been determined by a group of people. Therefore, the results of this process will be given to students based on existing decisions.
Encoding classical data into a quantum computer

In this article we describe a technique to transfer data from classical domain to quantum domain. We consider a set of $N (=2^n)$ classical data in the form of a column matrix and prepare a $n$-qubit quantum state, whose components correspond to the $N$ classical data. To prepare this $n$-qubit quantum vector we use Schmidt decomposition and singular value decomposition techniques respectively and construct the corresponding family of quantum circuits. To strengthen our argument we also give specific examples by considering a set of 4 and 16 classical data and constructing the corresponding 2 and 4-qubit quantum vector respectively.
Tren Baru Kosmetik "Share in Jar" Ilegal di Media Daring

The Effect of Cosmetic formula on the skin is one of the main reasons for the new consumer to buy cosmetics. Before buy, new consumers feel confused about whether the cosmetic product is suitable for their skin or not. They need product tester. Unfortunately, not every cosmetic product sold in the market has a tester size. This condition led to the emergence of new illegal cosmetics trends in online media, namely share in jar. The concept of "share in a jar" is to divide (share) the content of the cosmetic product in (in) several small packaging (jar), with the aim that someone can buy and try the cosmetic product without buying the product in its original size. The study was conducted by online mapping and Google Trends analysis to review the phenomenon of cosmetics share in jar in online media, and also literature study of crime prevention strategies to provide intervention options that can be used. The results show that share in jar cosmetics are sold through various e-commerce and social media, and based on Google Trends analysis, the level of share in jar search has increased in the last 3,5 years. Most of them are import cosmetics in relatively high prices, and the most category is skincare cosmetics. Crime prevention strategies that can be done are through social crime prevention, situational crime prevention, and community-based crime prevention approaches, by intervening factors that influence cosmetics share in the jar distribution.
القیادة السامة وتأثیرها على الالتزام التنظیمی دراسة تطبیقیة على وحدات الحکم المحلی بمحافظة المنوفیة

يستهدف البحث الحالي التعرف على توافر القيادة السامة بأبعادها (الإشراف المسيء، القيادة الاستبدادية، النرجسية، تعزيز الذات، التقلب) وکذلک مستوى الالتزام التنظيمي بأبعاده (الالتزام العاطفي، الالتزام الاستمراري، الالتزام المعياري) لدى العاملين بوحدات الحکم المحلي بمحافظة المنوفية، وتحديد طبيعة العلاقة بين متغيري البحث. تمثل مجتمع البحث في العاملين بالمستويات الإدارية المختلفة بوحدات الحکم المحلي بمحافظة المنوفية. وقد تم سحب عينة ممثلة للمجتمع لجمع البيانات اللازمة للبحث، وذلک عن طريق توزيع قائمة استقصاء على مفردات العينة والتي بلغ عددها (410) مفردة، وقد تم استخدام الأساليب الإحصائية المناسبة لتحليل واختبار فرضيات البحث.ولقد توصل البحث إلى عدد من النتائج أهمها أن هناک علاقة عکسية معنوية قوية بين متغير القيادة السامة ومتغير الالتزام التنظيمي.ولقد أشار البحث إلى عدد من التوصيات من أهمها: اختيار القيادات الإدارية الذين تتوافر لديهم سمات القيادة الفاعلة، التي تعمل على خلق المناخ الأخلاقي الإيجابي لتعزيز الثقة المتبادلة، والرغبة في مساعدة الآخرين، وتقديم المصلحة العامة على المصلحة الشخصية، والحرص على رفاهية للمرؤوسين والزملاء والمنظمة.Abstract:This research aims to identify the presence of toxic leadership in its dimensions (abusive supervision, authoritarian leadership, narcissism, self-promotion, unpredictability) as well as the level of organizational commitment in its dimensions (Affective commitment, continuance commitment, normative commitment) among workers in local government units in Menoufia governorate and determining the nature of the relationship between the two variables of the research. The research population is represented by workers from different administrative levels of the local government unit in Menoufia governorate. A representative sample was drawn to collect the data necessary for the research through distribution of a survey on the sample members (410 units). Eventually, appropriate statistical methods were employed to analyze and test hypotheses.Analysis produced numerous results, perhaps the most prominent is that there is a negative significant relationship between the toxic leadership variable and the organizational commitment variable.Results of this research can give some insightful recommendations. For instance, managerial leaders’ selection should be based on characteristics of effective leadership, which work to create a positive moral climate to enhance mutual trust, the desire to help others, and to advance the public interest to the personal interest, and to ensure the well-being of subordinates, colleagues, and the organization.
Pengaruh Tayangan Ilook Net Tv Terhadap Tingkat Pengetahuan Busana Dan Make Up

This study aims to determine how the influence of the impressions I Look Net TV on the level of knowledge of fashion and makeup. The variables studied were duration, consistency, preferences and trends as independent and know variables, understanding, application, analysis and evaluation as dependent variables. The population in this study were extracurricular students of SMA Negeri 1 Maja Creative Production. The sampling technique of this study used saturated samples in which all members of the population were used as samples. Data processing techniques and data analysis used are descriptive statistical analysis, multiple linear regression analysis, product-moment correlation analysis, coefficient of determination analysis, validity and reliability testing using SPSS 25. The results of product-moment correlation analysis obtained by the value of 0,799 mean significance value 0.000 > 0,05 then what happens that hypothesis Ho is rejected and Ha accepted. The results of multiple linear regression analyses obtained with equation Y = 6,730 + 0,533 X. The results of the coefficient of determination (R2) Adjusted R Square value of 0,630, meaning that 63% the dependent variable the level of fashion knowledge and make up can be explained by the independent variables duration, consistency preferences and trends, the remaining 37% is explained by other variable factors such as conflicts and timings that are not present in this research model. Practical advice, for further research adding the variables studied, as well as broadening the scope of coverage so that broader generalizations and using more samples are used, so that research results can be maximized.
“LIUSANLEXT PROJECT” PARA DESARROLLAR LA COMPETENCIA CULTURAL Y ARTÍSTICA EN LENGUAS EXTRANJERAS: LA COMPETENCIA CULTURAL Y ARTÍSTICA EN LENGUAS EXTRANJERAS

We share the experience of a task from the LiusanLext project to implement the artistic and cultural competence as content of the pedagogical professional communicative competence, through a didactic conception of the artistic and cultural competence with creative and vivid features in Foreign Language career at the University of Las Tunas. The project takes the following paintings as departure point; for transferring these paintings’ content to visual arts through Body Art and Performance. Where tutees create an oral presentation and a performance to talk about nature and environment. This proposal will favor the tutees’ limitations to develop the artistic and cultural competence. The objective of the article is to share this project scientific advance for the tutees to transfer, from appreciating to creating, the artistic- cultural and linguistic- communicative texts. The Task Based Learning approach was implemented; where Body Art and Performance allow the tutees and pupils become art creators due to these art expressions’ high conceptual level features. This favors the completion of developmental, creative, participatory, collaborative and of personal implication tasks, which make the tutees and pupils transfer comprehension levels from the artistic and cultural content to creation, through shared vividness for talking about their creations related to the communicative function.
INFLUENCE OF DISTANCE LEARNING ON VOCATIONAL SUBJECTS OF FIRST-YEAR STUDENTS AT THE UNIVERSITY OF DEFENCE – COMPARATIVE STUDY RESULTS

INFLUENCE OF DISTANCE LEARNING ON VOCATIONAL SUBJECTS OF FIRST-YEAR STUDENTS AT THE UNIVERSITY OF DEFENCE – COMPARATIVE STUDY RESULTS
The Factors of Code Reviewing Process to Ensure Software Quality

In the era of revolution, the development of softwares are increasing daily. The quality of software impacts the most in software development. To ensure the quality of the software it needs to be reviewed and updated. The effectiveness of the code review is that it ensures the quality of software and makes it updated. Code review is the best process that helps the developers to develop a system errorless. This report contains two different code review papers to be evaluated and find the influences that can affect the code reviewing process. The reader can easily understand the factor of the code review process which is directly associated with software quality assurance.
Upaya Meningkatkan Hasil Belajar Dengan Model Pembelajaran Kooperatif Pada Materi Pembelajaran Pecahan

&lt;p&gt;&lt;em&gt;This research is motivated by the low student achievement in the fractional material. The students' learning outcomes in the material have not been able to reach the KKM. The purpose of this research is to determine the effect of the cooperative learning model. The subjects of this study were teachers and all grade II students of SDN Tengko 01, amounting to 24 students. This research was carried out in two cycles. The instruments used were lesson plans, question sheets, lesson plans analysis sheets and APKG sheets. Data collection techniques in this study used test techniques and observation techniques. The data analysis technique used was quantitative description. The results showed that the use of cooperative learning models can be used to improve student achievement. This is evidenced by changes in abilities and an increase in the average score obtained by students after improving learning. In cycle 1 the value is 69 and in cycle 2 it becomes 82. this number can be found say that there is an increase in student learning outcomes that are quite good, seen from the results of the cycle 1 test to the final results after learning.&lt;/em&gt;&lt;/p&gt;
Uncertainty-aware Cardinality Estimation by Neural Network Gaussian Process

Deep Learning (DL) has achieved great success in many real applications. Despite its success, there are some main problems when deploying advanced DL models in database systems, such as hyper-parameters tuning, the risk of overfitting, and lack of prediction uncertainty. In this paper, we study cardinality estimation for SQL queries with a focus on uncertainty, which we believe is important in database systems when dealing with a large number of user queries on various applications. With uncertainty ensured, instead of trusting an estimator learned as it is, a query optimizer can explore other options when the estimator learned has a large variance, and it also becomes possible to update the estimator to improve its prediction in areas with high uncertainty. The approach we explore is different from the direction of deploying sophisticated DL models in database systems to build cardinality estimators. We employ Bayesian deep learning (BDL), which serves as a bridge between Bayesian inference and deep learning.The prediction distribution by BDL provides principled uncertainty calibration for the prediction. In addition, when the network width of a BDL model goes to infinity, the model performs equivalent to Gaussian Process (GP). This special class of BDL, known as Neural Network Gaussian Process (NNGP), inherits the advantages of Bayesian approach while keeping universal approximation of neural network, and can utilize a much larger model space to model distribution-free data as a nonparametric model. We show that our uncertainty-aware NNGP estimator achieves high accuracy, can be built very fast, and is robust to query workload shift, in our extensive performance studies by comparing with the existing approaches.
New modules shrink and improve controls on current quantum computers

Modular design could decrease the size, cost, and failure rate of quantum-computing control.
沈從文 소설의 여성형상과 아니마(anima)의 현현

This study tried to explore the possibility of JUNG's anima/animus theory as a useful and valid research methodology for understanding the female figure in the novel Shen cong-wen(沈從文) from the standpoint of ecofeminism. When creating the female figure, Shen cong-wen(沈從文) prefers a fantasy creation method that reflects the artist's unconscious world. In this process, Shen cong-wen(沈從文) was able to meet the inner anima. In addition, since childhood, he had the values of worshiping women and extremely hated the violent culture of the feudal patriarchal society, so he was able to meet his inner anima in the world of literary imagination. And the process of changing the female form by creation period, which is revealed as ‘mother → lover → fairy → goddess’, coincided with the four-step development trend of anima, which is Eve → Helen → Saint Mary → Sapientia. During the Beijing(北京) period, Shen cong-wen(沈從 文) created the image of a mother. This mother figure had the characteristics of an Eve stage anima. Through the encounter with Eve anima, Shen cong-wen(沈從 文) was able to heal her wounded inner self and continue her literary career. In the Shanghai(上海) period, Shen cong-wen(沈從文) created various female figures. These female figures are similar to Helen's anima, which has the charm of seducing the opposite sex. During the Qingdao(靑島) period, Shen cong-wen(沈從文) created a nymph-like figure of a young girl closely related to nature. This is similar to the Saint Mary stage of anima, which transcends women as sexual objects and shows the universal love of mankind. During the Kunming(昆明) period, Shen cong-wen(沈從 文) created a female figure that sparked the artist's contemplation on life and abstraction. These female figures are similar to Sapientia anima, the goddess of wisdom who leads men to philosophical themes or artistic inspirations. In conclusion, it can be confirmed that the female figure in the novel of Shen cong-wen(沈從文) has the characteristic that anima is reflected. This is expected to be able to secure a new perspective and provide a theoretical foundation for studying the female figure in the novel Shen cong-wen(沈從文) from the point of view of ecofeminism.
Virtual distance education, an opportunity?

The emergence of COVID-19 at a global level meant that several areas were affected, the educational field is one of them. Face-to-face classes were made impossible by the new health regulations (physical distance, use of masks, compulsory quarantines, etc.), so virtual distance classes took hold from the start of the pandemic. In this sense, obtaining information from the protagonists, in this case, university students from the different Higher Education Institutions in the city of Talca, is fundamental to know their experience with virtual distance education in this con-text and to determine the challenges that exist for this type of post-pandemic education. For this reason, the use of a mixed methodology (qualitative-quantitative), with the application of semi-structured interviews and surveys through virtual means, allowed evidence to be found that the university experience has been affected in practical aspects, learning, and interaction with colleagues and teachers. Likewise, virtual distance education poses certain challenges in terms of technological access, preparation and management, and new pedagogical strategies for this modality.