Reviewerly/exHarmony huggingface dataset:
The Impact of Data Breach Announcements on Company Value in European Markets

Recent research on the economic impact of data breach announcements on publicly listed companies was found to be sparse, with the majority of existing studies having a strong US bias. Here, a dataset of 45 data breach disclosures between 2017 and 2019 relevant to European publicly listed companies was hand-gathered (from various sources) and detailed analyses of share price impact carried out using event study techniques with the aim of supporting business cases for firms to invest in cyber security. Differences from existing studies (in particular, the US market) are highlighted and discussed along with pointers to future research in this area. Although some evidence of negative cumulative abnormal returns (CAR) in the days surrounding the announcement were observed, along with one extreme case leading to insolvency, the results were not statistically significant overall with the notable exception of the Spanish market, which appeared to be more sensitive to data breaches, reacting rapidly. Therefore, justification for cyber security investment purely based on the market value effect of a data breach disclosure would be challenging. Other factors would need to be taken into consideration such as risk appetite, industry sector and nature of the information compromised as well as relevant legislation. Certain other observations were noted such as the lack of a comprehensive breach database for Europe (unlike US) and the effect of the introduction of the General Data Protection Regulation (GDPR). This research would be of benefit to business management, practitioners of cyber security, investors and shareholders as well as researchers in cyber security or related fields.
Perpustakaan dalam pelestarian warisan budaya di Indonesia tinjauan literatur sistematis

Introduction. Libraries as information institution serves users by collecting, managing and disseminating information and knowledge. One of the important is by preserving cultural heritage. This study aims to describe role of libraries in preserving cultural heritage through publication of scientific articles on the topic of cultural heritage.&#x0D; Data Collection Methods. The paper used a systematic literature review with a qualitative approach.&#x0D; Data Analysis. Several stage involved in data analysis included planning, implementinging, and synthesising the search results&#x0D; Results and Discussion. Findings indicate there are seven selected journal articles discussing policies as obstacles in the preservation of cultural heritage and there are five articles containing the role of libraries focusing on physical form and public education.&#x0D; Conclusion. Based on the selected scientific journal articles describing the role of libraries in Indonesia in preserving cultural heritage, the topics focuses on education for community, procurement, maintenance of physical buildings, ancient manuscripts collections and cultural themes. Furthermore,constraints and challenges faced by libraries,including policies, create an impact on human resources, budget and infrastructure.
A Measurement-based Algorithm for Graph Colouring.

We present a novel algorithmic approach to find a proper vertex colouring of a graph with d colours, if it exists. We associate a d-dimensional quantum system with each vertex and the initial state is a mixture of all possible colourings, from which we obtain a random proper colouring of the graph by measurements. The non-deterministic nature of the quantum measurement is tackled by a reset operation, which can revert the effect of unwanted projections. As in the classical case, we find that the runtime scales exponentially with the number of vertices. However, we provide numerical evidence that the average runtime for random graphs scales polynomially in the number of edges.
Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories

Gaussian processes (GPs) are a versatile nonparametric model for nonlinear regression and have been widely used to study spatiotemporal phenomena. However, standard GPs offer limited interpretability and generalizability for datasets with naturally occurring hierarchies. With large-scale, rapidly-updating electronic health record (EHR) data, we want to study patient trajectories across diverse patient cohorts while preserving patient subgroup structure. In this work, we partition our cohort of over 2000 COVID-19 patients by sex and ethnicity. We develop and apply a hierarchical Gaussian process and a mixture of experts (MOE) hierarchical GP model to fit patient trajectories on clinical markers of disease progression. A case study for albumin, an effective predictor of COVID-19 patient outcomes, highlights the predictive performance of these models. These hierarchical spatiotemporal models of EHR data bring us a step closer toward our goal of building flexible approaches to capture patient data that can be used in real-time systems*.
Zuckerberg 'not aware' that Facebook election integrity official worked for Biden

Facebook CEO Mark Zuckerberg said that he was not aware that a Facebook election integrity official used to work as a policy adviser to former Vice President Joe Biden during the Senate Commerce Committee's Section 230 hearing on Wednesday.
The reality of human resources planning in governmental universities in Riyadh City: واقع التخطيط للموارد البشرية في الجامعات الحكومية في مدينة الرياض

This study aimed to assess the status and procedure and planning in human resources departments as well as to detect any obstacles that might hinder the planning procedure in Saudi universities in Riyadh city. To achieve that objective, the researchers used a cross-sectional descriptive methodology, and a questionnaire was used to collect the data, the population consisted of (100) HR employees, however we received (85) full responses with an 85% response rate.Following statistical analysis using an SPSS program, the results of this study showed the following:1- the average score for the planning initiative among HR departments in Saudi universities in Riyadh city was 3.31 out of 5.0 with the point (the university follows a clear policy when it comes to human resources planning by faculty members) being the least score and the point (the university provides financial support to enable the faculty members to plan human resources) being the highest score.2- the average score for the assessment of the obstacles that hinder the human resources planning was 3.2 out of 5.0 with the point (centralization of the administrative transactions in the university) being the biggest obstacle and the point (inadequate human resources electronic systems in the university) being the least perceived obstacle among participants.Study recommended:1- work to reduce the high centrality in administrative dealings in the governmental universities in Riyadh City.2-  interest in limiting the executive procedural aspect to the activities of the Human Resources Planning Department at the governmental universities in Riyadh.3-  to work for the standardization of electronic information base systems in the state universities in Riyadh.
Psychological and Educational Support of Students' Self-Regulation Development

The modern social environment, in general, and the educational one in particular, impose several requirements on the personality of the student as a future representative of the professional community. This is manifested in need to acquire expert knowledge and skills in the face of constantly changing requirements, plan your activities for the short and/or long term, as well as added flexibility of behaviour. To organize activities in accordance with the described requirements, it is necessary to systematically build and implement them, which is carried out by resorting to self-regulation.The article discusses theoretical approaches to the problem of personality self regulation in psychological and pedagogical literature, identifies individual and agerelated characteristics of college students 'self-regulation, identifies the relationship between the level characteristics of self-regulation and cognitive personality styles,identifies the main directions of psychological and educational support for the development of students' self-regulation, implemented through the integrated use of variable forms and means and presents the results of a study of the possibilities psychological support of educational development of self-regulation of students, taking into account the cognitive styles.
TEACHING PHYSICS AT THE TECHNICAL UNIVERSITY DURING PANDEMIC SITUATION – COVID19 – CASE STUDY

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 5175-5184ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.1180Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference
LITERASI MEDIA KOMUNIKASI DALAM MANAJEMEN KESEHATAN PADA PENANGANAN BAHAYA DEMAM BERDARAH (DBD) DI KECAMATAN GAMBUT

Recent technological advances are very strategic and very significant in the interactions in the midst of our people's lives, including public health, which is even more crucial, because of that the government is very concerned about public health, if public health is good, it will support the economic life of the community
Sketch-Guided Equality Saturation: Scaling Equality Saturation to Complex Optimizations in Languages with Bindings

Equality saturation is a technique for implementing rewrite-driven compiler optimizations by efficiently representing many equivalent programs in so-called e-graphs. To improve performance, the set of equivalent programs is grown by applying rewrites in a purely additive way until a fixed point is reached (saturation), or the search times out. In practice, two issues limit the application of equality saturation in programming language compilers. First, equality saturation is not efficient for the name bindings (variables) that appear in almost all programming languages. Second, equality saturation does not scale to complex optimizations with long rewrite sequences such as loop blocking. This paper addresses both issues, thereby enabling equality saturation to be applied to more realistic programs and compiler optimizations. First, we demonstrate how to drastically improve the efficiency of equality saturation for a functional language based on the typed lambda calculus. Second, we introduce sketch-guided equality saturation, a semi-automatic technique that allows programmers to provide sketches guiding rewriting when performing complex optimizations. We evaluate sketch-guided equality saturation by performing a series of realistic optimizations of matrix multiplication expressed in the Rise functional language. The optimizations include loop blocking, vectorization, and parallelization. We demonstrate that naive equality saturation does not scale to these optimizations, even with hours of exploration time. Previous work on orchestrating rewrite sequences shows that these optimizations can be expressed as rewrites, at the cost of weeks of programmer effort. Our guided equality saturation combines the advantages of both techniques: minimal programmer guidance enables complex compiler optimizations to be applied in seconds.
2015 개정 통합과학과 과학탐구실험 교육과정의 2차 년도 적용 현황 추이 분석

The purpose of this study is to analyze the current status of the second year of application of Integrated Science and Science Laboratory Experiments, which are common courses of high school, and to explore suggestions for curriculum development in the future. To this end, the results of the survey of a total of 244 science-core and general high schools were compared with the survey result of 2018 school year. In addition, in-depth interviews were conducted with nine science teachers of the focus group to discuss the current state of curriculum implementation. According to the results, as in the first year, most of the Integrated Science courses were implemented in 6-8 units, and in most schools the number of teachers in charge of Integrated Science per class were 3-4. In the teacher's focus group interview, teachers insisted that Integrated Science requires integrated teaching approaches and is good for generating students' interest, but it is difficult to implement process-based assessment due to issues such as ensuring fairness of assessment. Most of Science Laboratory Experiments courses were implemented in two semesters, one unit per semester, and there was little link between Integrated Science and Science Laboratory Experiments because of the different teaching staff. The school life record entry method of Science Laboratory Experiments has been changed to criterion-based assessment starting in 2019, so students' satisfaction or flow of classes is much better than expected, and teachers can teach without burden. Based on the research results, ways to support the settlement of Integrated Science and Science Laboratory Experiments as common subjects, and ways to improve those subjects in the next curriculum revision were suggested.
Kendari Creative Hub with an Emphasis on Green Architecture

Economic growth in the city of Kendari cannot be separated from the role of Small and Medium Enterprises (SMEs) which invoive creative economic actors scattered throughout the city. Creative industries that help support the economy consist of 16 sub-sectors namely Architecture, Applications and Game Development, Interior Design, Visual Communication Design, Product Design, Fashion, Photography, Crafts, Culinary, Music, Publishing, Advertising, Performing Arts, Fine Arts, Television and Radio, Film, Animation and Video. So we need a creative hub as a space for sharing, collaboration, commercial, production, etc. Which is a solution to respond to these problems and accommodate the activities of creative economy actors. The discussion method used is descriptive method, discussion of aspects related to the Creative Hub building facilities to architectural concepts with compilation study methods of primary data and secondary data. To design a centralized and integrated accommodation facility to accommodate creativity, as a space for sharing, collaboration, commercial, production, etc. and for the activities of creative economy actors. The application of green architecture into the planning of Kendari Creative Hub is applied to land efficiency, material utilization, which is easily available around the site, utilization of natural resources in lighting, ventilation and building energy sources, use of rainwater harvesting and recycling, especially in water use. With the application of green architecture into Kendari Creative Hub planning, it is hoped that it can be a solution in exploiting natural potential and minimizing the negative impact caused by moderation and efficiency in the use of building materials, energy, and development space on the natural environment.
Credit Information Sharing, Bank Size and Bank Credit Risk

Using the non-performing loan rate to proxy bank credit risk, this paper focuses to examine the impact of the level of regional credit information sharing on the credit risk of urban commercial banks. We find a significant negative relation between the level of regional credit information sharing and the non-performing loan rate of banks. It shows that higher level of regional credit information sharing leads to lower bank credit risk. Improving the level of regional credit information sharing is conducive to reducing bank credit risk. Further analysis, distinguishing the size of banks, reveals that this negative relation exists obviously in both large-scale and small-scale urban commercial banks, and the negative impact is more obvious in small-scale urban commercial banks. Small-scale urban commercial banks do not have information advantages and scale advantages, so improving the level of credit information sharing is more conducive to improving credit quality and reducing credit risk for small-scale urban commercial banks.
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.

Privacy-preserving machine learning (PPML) has many applications, from medical image classification and anomaly detection to financial analysis. nGraph-HE enables data scientists to perform private inference of deep learning (DL) models trained using popular frameworks such as TensorFlow. nGraph-HE computes linear layers using the CKKS homomorphic encryption (HE) scheme. The non-polynomial activation functions, such as MaxPool and ReLU, are evaluated in the clear by the data owner who obtains the intermediate feature maps. This leaks the feature maps to the data owner from which it may be possible to deduce the DL model weights. As a result, such protocols may not be suitable for deployment, especially when the DL model is intellectual property. In this work, we present MP2ML, a machine learning framework which integrates nGraph-HE and the secure two-party computation framework ABY, to overcome the limitations of leaking the intermediate feature maps to the data owner. We introduce a novel scheme for the conversion between CKKS and secure multi-party computation to execute DL inference while maintaining the privacy of both the input data and model weights. MP2ML is compatible with popular DL frameworks such as TensorFlow that can infer pre-trained neural networks with native ReLU activations. We benchmark MP2ML on the CryptoNets network with ReLU activations, on which it achieves a throughput of 33.3 images/s and an accuracy of 98.6%. This throughput matches the previous state-of-the-art work, even though our protocol is more accurate and scalable.
Activating digital learning at Al-Azhar University In light of the Fourth Industrial Revolution and remained the Corona pandemic.

The aim of the research is to highlight the multiple implications of the Fourth Industrial Revolution on university education, and to show the effects of the Corona pandemic on educational institutions, leading to a set of proposals that could contribute to activating digital learning at Al-Azhar University. The researcher used the descriptive approach through a desk survey of research literature in the field of digital learning. The researcher has put forward A group of proposals to activate digital learning at Al-Azhar University, and has classified them into four, which are: proposals related to university administration, proposals related to colleges management, proposals related to faculty members, proposals related to students. [ FROM AUTHOR] Copyright of Journal of Education - Sohag University is the property of Journal of Education - Sohag University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
Research and development of a quantum computing system as an information process.

Over the past few decades, there has been a significant breakthrough in the field of quantum computing. Research is attracting growing interest, which has recently led to the development of quantum information systems prototypes and methods for their development. The paper describes the characteristics of the information system as an object of architecture and the representation of quantum gates using quantum circuits. A functional-component structure of a quantum information system has been built and a software implementation of a quantum information system has been made on its basis.
Current trends in library space modernization with advanced computer-based solutions

Upgrading mobile mechanically driven library systems to electrically powered mobile systems is discussed.
PENGEMBANGAN DISAIN MOTIF BATIK SEDERHANA BERBASIS TEKNOLOGI DIGITAL 4.0 PADA KELOMPOK PAGUYUBAN BATIK GIRILOYO BANTUL

This community service team (PbM) aims to build independence and increase the confidence of members and administrators of the Giriloyo batik crafts community in developing alternative marketing communications through the development of simple batik motif designs based on digital technology. Through digital engineering, groups of craftsmen who are members of the Giriloyo batik community are expected to be able to easily find new motif designs. The development of simple batik motif designs based on digital technology can make people as consumers not only more interested and easier to design batik products according to their wishes, but also can choose the preferred motif (custom). Digital motif development has several advantages, including 1) Craftsmen do not need to spend a lot of time exploring ideas to find new motifs, because they can easily recycle existing motifs; 2) consumers can instantly design new motifs (custom); 3) The process is relatively easy. This activity is carried out by providing workshops to the younger generation in the Giriloyo Batik Association. The training is carried out using CorelDraw software starting from introduction to mastering the necessary tools. As a result, the participants were able to engineer new motifs by combining pieces of existing motifs. Keywords: batik motif design, marketing communication, batik craftsman, multimedia technology
Robust On-Policy Data Collection for Data-Efficient Policy Evaluation

This paper considers how to complement offline reinforcement learning (RL) data with additional data collection for the task of policy evaluation. In policy evaluation, the task is to estimate the expected return of an evaluation policy on an environment of interest. Prior work on offline policy evaluation typically only considers a static dataset. We consider a setting where we can collect a small amount of additional data to combine with a potentially larger offline RL dataset. We show that simply running the evaluation policy -- on-policy data collection -- is sub-optimal for this setting. We then introduce two new data collection strategies for policy evaluation, both of which consider previously collected data when collecting future data so as to reduce distribution shift (or sampling error) in the entire dataset collected. Our empirical results show that compared to on-policy sampling, our strategies produce data with lower sampling error and generally lead to lower mean-squared error in policy evaluation for any total dataset size. We also show that these strategies can start from initial off-policy data, collect additional data, and then use both the initial and new data to produce low mean-squared error policy evaluation without using off-policy corrections.
SCP FOUNDATION COMPOSITION STUDY UNDER COVID-19

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 1275-1283ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.0369Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference