Reviewerly/exHarmony huggingface dataset:
Non-probabilistic hazard evaluation

Quantitative analysis of complex risk systems often faces three major problems. The first problem is the size of the system to be examined, since the number of possible system states increases exponentially with system size. The second problem is the topology of the system which may not be tree-like. The third problem is the consideration of randomness, since risk events are in many cases single, non-repetitive, therefore probability theory is inadequate. In order to handle this deficiency we suggest to apply logical risk analysis which traces back the main risk event to elementary, controllable risk events by means of the logical structure describing the operation of the risk system. For illustrations we give some very simple structures and a soil contamination problem as a real-size example.
Automatic Indexing for Agriculture: Designing a Framework by Deploying Agrovoc, Agris and Annif

There are several ways to employ machine learning for automating subject indexing. One popular strategy is to utilize a supervised learning algorithm to train a model on a set of documents that have been manually indexed by subject matter using a standard vocabulary. The resulting model can then predict the subject of new and previously unseen documents by identifying patterns learned from the training data. To do this, the first step is to gather a large dataset of documents and manually assign each document a set of subject keywords/descriptors from a controlled vocabulary (e.g., from Agrovoc). Next, the dataset (obtained from Agris) can be divided into – i) a training dataset, and ii) a test dataset. The training dataset is used to train the model, while the test dataset is used to evaluate the model's performance. Machine learning can be a powerful tool for automating the process of subject indexing. This research is an attempt to apply Annif (http://annif. org/), an open-source AI/ML framework, to autogenerate subject keywords/descriptors for documentary resources in the domain of agriculture. The training dataset is obtained from Agris, which applies the Agrovoc thesaurus as a vocabulary tool (https://www.fao.org/agris/download).
A STUDY ON THE PERCEPTION OF SECURITY THAT DIGITAL LAWS EXERCISE ON USERS OF DIGITAL SERVICES AND PRODUCTS

Laws that cover the digital context in relation to data protection are becoming increasingly common, such as the Brazilian LGPD (General Data Protection Law) and the GDPR (General Data Protection Regulation).The creation of data manipulation and collection regulations, which cover the digital context, are a consequence of the growing expansion of the digital world along with the exponential increase in data production.The main objective of such legislation is to regulate the storage, processing and use of personal data, with the aim of protecting and guaranteeing the security of data subjects.However, many individuals have deficiencies in terms of knowledge of laws that cover the digital context and good practices on behavior and experience within the virtual world, creating security vulnerabilities for such people.Among the main factors that accelerated the adoption of computing services by people with less familiarity with technology, we can mention the international pandemic of covid-19, which, by creating a scenario of change in society's behavior aimed at greater social distancing, generated both a increase in interactions through digital media and an escalation in the number of digital scams.Based on this scenario, this study seeks to understand how individuals, increasingly associated with a digital context, understand and understand the digital laws created to protect them.
U-Net Architecture for Ancient Handwritten Chinese Character Detection in Han Dynasty Wooden Slips

Recent character detectors have been modeled using deep neural networks and have achieved high performance in various tasks, such as text detection in natural scenes and character detection in historical documents. However, existing methods cannot achieve high detection accuracy for wooden slips because of their multi-scale character sizes and aspect ratios, high character density, and close character-to-character distance. In this study, we propose a new U-Net-based character detection and localization framework that learns character regions and boundaries between characters. The proposed method enhances the learning performance of character regions by simultaneously learning the vertical and horizontal boundaries between characters. Furthermore, by adding simple and low-cost post-processing using the learned regions of character boundaries, it is possible to more accurately detect the location of a group of characters in a close neighborhood. In this study, we construct a wooden slip dataset. Experiments demonstrated that the proposed method outperformed existing character detection methods, including state-of-the-art character detection methods for historical documents.
GujAGra: An Acyclic Graph to Unify Semantic Knowledge, Antonyms, and Gujarati–English Translation of Input Text

Word sense disambiguation, Machine Translation (MT), and part-of-speech tagging are just a few of the Natural Language Processing (NLP) applications where Large-scale lexical resources are required. These resources are regarded as treasure in such system applications. As a result, it is critical that these sources include accurate information. These lexical resources for Indian languages have already been generated digitally and are being constructed on a vast scale known as WordNet. WordNet perhaps seems to be the lexical resource that may be applied for a wide range of NLP applications, from digital dictionaries to automated machine translation. This article depicts Gujarati WordNet semantic relations as an acyclic graph. It also illustrates the process of creating links between Gujarati synsets and their English equivalents, and vice versa.
Corporate Ethics as a Pillar for Strengthening Compliance Programs: A Brief Analysis of the Interplay between Ethics, Integrity, and Compliance

The objective of this study is to investigate the concepts of business ethics, integrity, and compliance and their relationship and distinctions, with a focus on US and Brazilian legislation, principles, and experiences. The study also provides a brief history of the origin of these institutes. A critical analysis of the US Department of Justice's Compliance Manual and Law no. 13,467/2017 is conducted, with consideration of their effects on the economic, social, and business environment. The research methodology adopted is qualitative, exploratory, and based on bibliographic and documentary analysis. The investigation is conducted through a hypothetical-deductive approach, utilizing a dogmatic analysis of the concepts of business ethics, integrity, and compliance. The results of the research indicate that ethics and compliance are different sides of the same coin, with compliance aiming for the accomplishment of the law and ethics requiring doing what is right, regardless of what the law says. The study concludes that the ethical context is the basis for the compliance program, and that the compliance system will only work if there is a strong ethical culture. This study provides a contribution to the understanding of the relationship between business ethics, integrity, and compliance, and sheds light on the two theories that underlie compliance, the rationalist and normative theories, as well as clarifying concepts and definitions that may confuse professionals in the compliance area.
A Study on the Characteristics Analysis of first-year student's Reading Fluency

본 연구는 초등학교 1학년 한글 미해득 학생의 음독에서 나타나는 오류를 분석하고 이를 토대로 읽기 유창성 발달을 위한 교육적 제언을 하는 데 그 목적이 있다. 본 연구는 참여한 학습자가 흥미를 보였던 도서 1권을 정해 연구를 수행하였다. 본 연구에는 9월 ‘한글 또박또박’ 검사에서 한글 미해득 판정을 받고 12월 동일 검사에서는 해득 중 완성 판정을 받은 1명, 해득 중 보충 판정을 받은 1명, 미해득 판정을 받은 1명이 참여하였다. 이들의 음독 분석 후 다음과 같은 특징을 발견하였다. 첫째, 한글 해득 정도가 낮을수록 끊어 읽기를 하거나 소리를 길게 늘여 읽는 경향이 있었다. 둘째, 뜻을 잘 모르거나 혹은 처음 접하는 낱말이 제시되었을 때 대체로 입문기 학습자들은 잠시 멈추는 등의 여러 가지 방법을 통해 해당 낱말을 읽으려는 시도를 하였다. 그러나 한글 해득 학습자가 자기 교정을 통해 바르게 읽으려고 노력한 반면, 한글 미해득 학습자는 이미 알고 있는 소리와 비교하며 자신의 읽기를 점검하려고 노력한 점이 달랐다. 셋째, 한글 해득 정도가 낮을수록 연음 현상이나 사잇소리 현상이 실현되지 못하였고 특히 명사와 조사의 결합에서 나타나는 연음 현상은 거의 실현되지 못하는 모습을 보였다. 넷째, 한글 해득 학습자의 읽기 시간은 5차례 진행될 동안 크게 변하지 않았으나 한글 해득 정도가 낮은 학습자가 반복하여 읽을 경우, 읽는 데 소요되는 시간이 지속적으로 줄어듦을 확인하였다.This study analyzed errors in the reading fluency of first-year students and provided educational suggestions for its’ development. This study confirmed that prior research and reading fluency tests are empirical methods for predicting reading ability. Three students who had participated in the Hangul reading test program developed by the Curriculum Evaluation Institute participated in this study. One of them was found to not have mastered or supplemented Korean in September and completed it in December, whereas the other was found to have not. The study found the following characteristics. First, the lower the degree of understanding Korean, the more likely it was that the participant had interrupted reading or read by stretching the sound. Second, when they did not know the meaning or first encountered, they generally attempted to read the word using various methods, such as a pause. Third, the lower the degree of understanding Korean, the less accurate the reading sound. Fourth, the lower the degree of Korean language acquisition, the faster the reading lesser time.
Analysis of Influencing Factors on Middle School Students' Test Stress

본 연구는 한국교육종단연구 2013 자료를 활용하여 중학생의 시험스트레스에 영향을 미치는 개인 및 학교 수준의 요인을 다층모형을 통해 탐색하였다. 분석 대상은 중학교 2학년이며 총 384개교, 4,615명이었다. 연구 결과, 첫째, 시험스트레스에 정적 영향을 미치는 변인은 여학생, 부모의 학업적 지원, 수학 선행여부(고등학교 과정), 평균 공부시간, 협력에 관한 공동체 의식, 교사의 성취압력으로 나타났다. 둘째, 시험스트레스에 부적 영향을 미치는 변인은 가족 및 학업에 대한 자아개념, 부모의 정서적 지원, 운동시간, 교사의 개별화 수업방식으로 나타났다. 또한, 성취수준과 진학예정 고교유형에 따라 시험스트레스가 상이하였다. 마지막으로 학교 수준에서는 대도시 소재 학교에 재학 중인 학생일수록 시험스트레스가 낮았으며, 자유학기제 경험은 시험스트레스에 통계적으로 유의한 영향을 미치지 않는 것으로 나타났다.This study explored the individual and school influencing factors affecting middle school students’ test stress through a multilevel model using data from the Korean Education Longitudinal Study 2013. The participants in the analysis were 2nd year middle school students and 4,615 students from 384 schools. The study found that, first, gender of students, parents’ academic support, math prerequisite learning, average study time per week, attitude for cooperative learning, and teacher’s achievement pressure had a positive effect on test stress. Second, self-concept of family and academics, parents’ emotional support, exercise time, and teachers’ individualized teaching methods had a negative effect on test stress. In addition, it was found that test stress differed according to students’ achievement levels and the type of high school they were expected to enter. Finally, at the school level, test stress was lower among students attending schools in large cities, and the experience of the free semester did not have a statistically significant effect on test stress.
Key Considerations When Designing Real World Evidence Research Involving The Secondary Use of U.S.-Based Electronic Health Record Data

The research use ofhealthcare records in the United States is protected by a wide variety ofregulations and ethical constructs.&amp;nbsp;While healthcare providers are intimately familiar with these, lifescience companies and other researchers are often not.&amp;nbsp; This lack of awareness often results inprotocols and contracts that, although well intentioned, can cause increaseddelays and costs due to resistance from the curators of the electronic healthrecords. The better that protocols, contracts and budgets are written withthese considerations in mind, the better opportunity we have to generate realworld evidence using electronic health records with less cost, greater speedand most importantly in a manner that does not compromise individual privacy toachieve societal benefits.
Partial transpose moments, principal minors and entanglement detection

Recently, it has been shown that locally randomized measurements can be employed to get partial transpose moments of a density matrix (Elben et al. in Phys Rev Lett 125:200501, 2020). Consequently, two general entanglement detection methods were proposed based on partial transpose moments of a density matrix (Yu et al. in Phys Rev Lett 127:060504, 2021). In this context, a natural question arises that how partial transpose moments are related with entanglement and with well known idea of principal minors. In this work, we analytically demonstrate that for qubit-qubit quantum systems, partial transpose moments can be expressed as simple functions of principal minors. We expect this relation to exist for every bipartite quantum systems. In addition, we have extended the idea of PT-moments for tripartite qubit systems and have shown that PT-moments can only detect the whole range of being NPT for GHZ and W states mixed with white noise.
Implementation of a Scalable Interactive Visualization Environment to Support Information Sharing and Decision-Making in Megadisasters

In this study, we implemented a scalable interactive visualization environment to support informationsharing and decision-making at the headquarters of an emergency management department using alarge, high-definition, touch display. The interactive information-sharing system visualizes variouscontents transmitted from the Web-based information transmission system on the large, highdefinition,touch display. The Web-based information transmission system enables information sharingon the large, high-definition, touch display by transmitting various contents to theWeb server. Toevaluate the effectiveness of the interactive information-sharing system, we conducted a survey, including12 local government employees from the disaster prevention division and 101 local residents,who were asked to evaluate the system for operability, functionality, effectiveness, and relevance.The results of the survey indicate the subjects’ overwhelmingly positive response to the system forall four measures.
An Intelligent Registration Method of Heterogeneous Remote Sensing Images Based on Style Transfer

Intelligent registration of heterogeneous remote sensing images is a hot issue in the field of remote sensing and has important research and application values. Due to the significant differences in data sources, image texture, color space and other factors of heterogeneous remote sensing images, the traditional image registration algorithms are difficult to be directly applied to the intelligent registration of images from different sources. In this paper, a new method of intelligent registration of heterogenous remote sensing images based on style transfer is proposed. First, the content features of the baseline image and the style features of the image to be aligned are extracted by using the generative adversarial nets, and the remote sensing images from different sources are fused in terms of content and style to obtain the remote sensing image transfer results with the same style as the image to be aligned and keeping the content of the baseline image unchanged. Then, an intelligent image registration algorithm is used to match the migrated remote sensing images. Finally, a heterogenous remote sensing image dataset is constructed around the heterogenous remote sensing image registration task, and the intelligent registration method of this paper is experimentally validated based on this dataset. The experimental results show that the intelligent image registration method based on style transfer can effectively improve the accuracy of heterogenous remote sensing image registration compared with the direct image registration method.
UAV Visual Localization Technology Based on Heterogenous Remote Sensing Image Matching

At present, the positioning function of intelligent UAVs mainly uses GPS technology, and GPS signals are susceptible to environmental and electromagnetic interference factors. In this paper, we combine remote sensing image processing with image matching algorithms to propose a GPS-independent visual localization technique for UAVs. First, the VGG16 network is used as the feature extraction backbone network, and the backbone network is designed and optimized for the characteristics of heterogenous remote sensing images. Secondly, a feature point screening and matching strategy is constructed, by which common feature points between heterogeneous remote sensing images can be screened and used for feature matching. Finally, the remote sensing image containing geographic location information and the UAV aerial image are fed into the network for feature extraction and matching, and the transformation matrix between the aligned images is calculated by the successfully matched feature points, and the transformation matrix is used to complete the mapping from the aerial image to the satellite image, and finally the geographic location information of each pixel can be read from the mapped image to complete the localization.
Bipartite entanglement distillation by unilateral and bilateral local filters using polarizing Mach–Zehnder interferometers

The extraordinary correlation seen in entangled states in space-like separated regions is one of the most intriguing aspects of quantum states. Practical utility of entanglement as a resource for quantum key distribution, dense coding, or teleportation generally requires maximally entangled states. In practice, entanglement quality degrades substantially due to channel noise. The problem may be mitigated by entanglement distillation. The simplest distillation protocol is enforced by local filtering operations and classical communication. The local filtering operations are merely generalized positive operator valued measures utilizing additional degrees of freedom (DoFs) as ancillary qubits. In this work, we experimentally show that filtering on a single channel (unilateral) is equally effective as filtering on both channels (bilateral) for distillation of pure non-maximally entangled bipartite states. This result holds for a non-maximally entangled multi-qubit Greenberger-Horne-Zeilinger (GHZ) like states as well, as they show a straightforward extension of the Bell state structure. Further, we provide a theoretical comparison of the efficacy of unilateral and bilateral filtering for the case of mixed states resulting from local depolarizing noise introduced either in one or both of the non-maximally entangled pairs. Surprisingly, when noise is introduced in either one of the channels, we find that unilateral filtering on the noise-free channel outperforms the filtering on the noisy channel and bilateral filtering on both channels. We also find that bilateral filtering is more effective when both channels are noisy. A reduction in the number of local operations, in general, has the advantage of reducing the complexity of the experimental apparatus and the reduction of measurement related errors.
Enhancing the Capabilities of Dance Majors for Effective Performance as Teaching Artists

The primary objective of this study is to analyze the essential competencies and methodical preparation process requisite for university dance major students to successfully transition into society as teaching artists. In this study, open-ended questionnaires and in-depth interviews were conducted with 13 dance majors enrolled at the National University of the Arts in Seoul. These students participated in a project outside of the curriculum, gaining experience as field artists. First, universities must offer subjects that enable students aspiring to become teaching artists to acquire pedagogical knowledge and skills. Second, dance majors should expand their understanding through extensive research on learners. Lastly, an internship system that connects with the field during undergraduate studies is necessary. Consequently, this study aims to propose a direction for the improvement of the existing education system by considering the educational requirements of universities for teaching artists and learners.
Comparison of the performance of text orality formulas in the automated grading of compositions of KFL learners. The Journal of Linguistic Science

This study compares the performance of the formulas used to measure text orality in classification analysis and multiple regression analysis models on the automated grading of compositions of KFL learners. To this end, a multiple-regression-analysis-based formula was constructed to measure text orality, and the performance of the formula was compared with that of the formula in the classification analysis model of Kang and Baek (2021). The results showed that the outcomes of the classification analysis model were 80% matched with the grading outcomes of the expert group, while the multiple regression analysis model was 92% matched, indicating that the performance of the multiple regression analysis model was better. In addition, this study suggests that in order to enhance the accuracy of the formula under the multiple regression analysis model, weights should be assigned according to the level of orality of each grammatical element and vocabulary item.
A reckoning with the maintenance of the built environment, a Sisyphean task

Maintenance concerns most of the artifacts, referring simultaneously to the socio-cultural, technical and managerial spheres. Contemporary scenarios impose an overall rethinking, where key-topics such as tradition, consumerism, sustainability and digitization become pivotal in the search for suitable production models, between post-industrial and neo-craftsmanship, in order to have fresher references for the maintenance activities.&#x0D; In the construction field, maintenance is not limited to the objective of prolonging the duration of quality levels that only affect direct users, but also has important implications of a social and collective nature, in the case of both public and private buildings and spaces. Despite this and other specific features, the parallelism between building maintenance and manufacturing maintenance was fundamental in the last quarter of the 20th century, when the subject made its way into the technological culture of architecture, in search of references that could replace pre-industrial habits.&#x0D; In support of the theoretical rethinking of maintenance (an activity which, like the Sisyphean task, does never foresee a definitive completion), the article suggests some considerations referring in particular to the reinforced concrete: a structural material almost omnipresent in the built environment since the second half of the last century, which poses significant problems in terms of duration and not only. In conclusion, some possible developments are presented, distinguishing between newly constructed and existing reinforced concrete constructions.
Integrating Chinese Culture into Middle School English Teaching by Telling China’s Stories Well in English

With continuous globalization, the relationship between language and culture has undergone new changes. English has become an international lingua franca and a means for communicators to express local culture in cross-cultural communication. Today, as different cultures are increasingly intertwined, China now needs to present itself and tell its story to the world, which is the call of The Times for mutual learning and common development among civilizations around the world. It is also a realistic call for building confidence in Chinese culture and educating people through political and moral education under the great changes that have never been seen in a century. Facing the new requirements of educational development in this era, English teaching in middle schools must undertake the mission of cultivating socialist successors who have an international vision and a sense of community of human destiny.