Reviewerly/exHarmony huggingface dataset:
From Electronic to Smart Library Systems: Concept, Classification of Services, Scheme of Work and Model

The university library is presented as a complex system that includes elements with various properties and challenges. Any structural change inevitably affects the activity of all its components. This paper discusses the concept of an anticipated smart library, the services that can be transferred to it, and its scheme of work and model. This paper presents a certain set of technical solutions deliverable through the smart library of a university. Over 200 publications, mainly by foreign scholars, have been analysed because of the lack of research in Russia on smart library services. The smart library system is designed to provide information services in any form and on any digital device through classical and service networks based on smart services. Smart library services are classified by two main characteristics: the library activity types (e. g. general services, scientific and educational) and the ways of obtaining information (e. g., traditional, online and smart). This paper presents the scheme of a smart library, based on which the model of a university smart library is constructed. The research results may be best limited to university libraries. The results have practical applications in the Library and Publishing Complex of Siberian Federal University. Consequently, a new library information environment has been developed and integrated into the university’s information space
Modelling the impact of contact tracing of symptomatic individuals on the COVID-19 epidemic

With the declining numbers of coronavirus disease 2019 (COVID-19) cases in the state of São Paulo, Brazil, social distancing measures have gradually been lifted. However, the risk of a surge in the number of cases cannot be overlooked. Even with the adoption of nonpharmaceutical interventions, such as restrictions on mass gatherings, wearing of masks, and complete or partial closure of schools, other public health measures may help control the epidemic. We aimed to evaluate the impact of the contact tracing of symptomatic individuals on the COVID-19 epidemic regardless of the use of diagnostic testing.We developed a mathematical model that includes isolation of symptomatic individuals and tracing of contacts to assess the effects of the contact tracing of symptomatic individuals on the COVID-19 epidemic in the state of São Paulo.For a selection efficacy (proportion of isolated contacts who are infected) of 80%, cases and deaths may be reduced by 80% after 60 days when 5000 symptomatic individuals are isolated per day, each of them together with 10 contacts. On the other hand, for a selection efficacy of 20%, the number of cases and deaths may be reduced by approximately 40% and 50%, respectively, compared with the scenario in which no contact-tracing strategy is implemented.Contact tracing of symptomatic individuals may potentially be an alternative strategy when the number of diagnostic tests available is not sufficient for massive testing.
An Electronic Bill Encryption Algorithm Based on Multiple Watermark Encryption

Digital image watermarking can authenticate and protect images through image processing and cryptography.The encryption of digital watermarks helps to effectively improve the performance of digital watermarking, thereby meeting the needs of bill image authentication in the actual financial system.This paper firstly proposes a method to resist JPEG compression attack.The proposed method enhances the anti-attack ability of watermarks by constructing the wavelet coefficient matrix and binary sequence for chaotic encryption, and effectively improves the security of electronic bills in transmission.Considering the special needs of financial bills, the authors presented a method to detect the key information area of bills, and encrypt multiple watermarks.Application results show that the proposed method can identify and encrypt the key area of each bill, as well as detect and curb tampering and forgery, providing a guarantee to the security of financial bills.
Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models

A new style transfer-based image manipulation framework combining generative networks and style transfer networks is presented in this paper. Unlike conventional style transfer tasks, we tackle a new task, text-guided image manipulation. We realize style transfer-based image manipulation that does not require any reference style images and generate a style image from the user’s input sentence. In our method, since an initial reference input sentence for a content image can automatically be given by an image-to-text model, the user only needs to update the reference sentence. This scheme can help users when they do not have any images representing the desired style. Although this text-guided image manipulation is a new challenging task, quantitative and qualitative comparisons showed the superiority of our method.
Visualizing Food-Drug Interactions in the Thériaque Database

This paper presents a prototype for the visualization of food-drug interactions implemented in the MIAM project, whose objective is to develop methods for the extraction and representation of these interactions and to make them available in the Thériaque database. The prototype provides users with a graphical visualization showing the hierarchies of drugs and foods in front of each other and the links between them representing the existing interactions as well as additional details about them, including the number of articles reporting the interaction. The prototype is interactive in the following ways: hierarchies can be easily folded and unfolded, a filter can be applied to view only certain types of interactions, and details about a given interaction are displayed when the mouse is moved over the corresponding link. Future work includes proposing a version more suitable for non-health professional users and the representation of the food hierarchy based on a reference classification.
Factors Affecting Students’ Willingness to Communicate in EFL Classroom at Higher Institution in Indonesia

One of the primary goals of learning and teaching process in EFL classroom is to enhance students' willingness to communicate (WTC).This study aims at exploring factors affecting willingness to communicate (WTC) in EFL classroom at higher institution in Indonesia.This study employed quantitative research method.Questionnaire data were obtained from seventy university graduate students (19 males or 27.14% and 51 or 72.86% females) major in English study program of Graduate Program State University of Makassar participated in this study.The data of the study were analysed using descriptive statistics which presented percentage, mean, and standard deviation (SD).The present study therefore reveals that the influential factors of EFL students' WTC are interested in speaking in group discussion if the topics discussed are interesting.Other evidences from the present study are: 1) the participants said that classroom discussion is the best way to practice speaking English, 2) they find it easy to have conversations in the classroom discussion, 3) they are excited to speak in front of the English class, 4) group discussions are the activities they enjoy most in English classes, and 5) they enjoy starting the group discussion with a number of critical questions.
Development of a Web Based Inventory Information System

CV. T. Kardin Pisau Indonesia is a company engaged in the manufacture of knives, having its address at Jl. Hegarmanah No.46 Bandung. As a manufacturing company, CV. T. Kardin Pisau Indonesia needs to take advantage of information technology in warehouse inventory management, no longer in manual management, namely recording in paper media, which will be vulnerable to data mismatches. Web application here is defined as an inventory application, through displays which include items to be stored in the warehouse and incoming and outgoing product transactions. The research method used here is Research and Development (R&amp;D). Making software is done with a waterfall model which consists of stages: needs analysis, design, implementation, and testing. In object orientation paradigm modeling system with visual UML. The results of this study produce web-based software using the YII Framework with the MVC (Model View Controller) method. Through a web application that provides direct contact, it is hoped that the service process to consumers can be clear and fast. This inventory application can be used as material for product inventory in warehouse stock which includes recording, processing, and reporting data on warehouse inventory. Another benefit is that with this web-based application, the head office can know the inventory in the warehouse by itself so that it can quickly take action to fill the warehouse inventory.
Efficient and Secure Group based Collusion Resistant Public Auditing Scheme for Cloud Storage

Tremendous changes have been seen in the arena of cloud computing from previous years.Many organizations share their data or files on cloud servers to avoid infrastructure and maintenance costs.Employees from different departments create their specific groups and share sensitive information among group members.Revoked users from the group may try to access this information by colluding with an untrusted cloud server.Many researchers have specified revocation procedures using re-signature, proxy-re-signature concept to deflect the collusion between the cloud server and a revoked user.But these techniques are costly in terms of communication overhead and verification cost if combined with auditing techniques to prove the integrity of outsourced data on the cloud server.To reduce this cost, a collusion resistant public auditing scheme with group member revocation is proposed in this paper.In this scheme, the data owner regularly updates the recent valid members list which is used by a third-party auditor to validate the signature so that collusion can be avoided.To verify the integrity of outsourced data, proposed scheme uses one of the modern cryptographic technique indistinguishability obfuscation combined with a one-way function which can reduce the verification time significantly.Experimental results show that the proposed scheme decreases the communication overhead and verification cost compared to existing schemes.
Simple Reductions from Formula-SAT to Pattern Matching on Labeled Graphs and Subtree Isomorphism

The CNF formula satisfiability problem (CNF-SAT) has been reduced to many fundamental problems in P to prove tight lower bounds under the Strong Exponential Time Hypothesis (SETH). Recently, the works of Abboud, Hansen, Vassilevska W. and Williams (STOC'16), and later, Abboud and Bringmann (ICALP'18) have proposed basing lower bounds on the hardness of general boolean formula satisfiability (Formula-SAT). Reductions from Formula-SAT have two advantages over the usual reductions from CNF-SAT: (1) conjectures on the hardness of Formula-SAT are arguably much more plausible than those of CNF-SAT, and (2) these reductions give consequences even for logarithmic improvements in a problem's upper bounds. Here we give tight reductions from Formula-SAT to two more problems: pattern matching on labeled graphs (PMLG) and subtree isomorphism. Previous reductions from Formula-SAT were to sequence alignment problems such as Edit Distance, LCS, and Frechet Distance and required some technical work. This paper uses ideas similar to those used previously, but in a decidedly simpler setting, helping to illustrate the most salient features of the underlying techniques.
Question Answering Systems: A Systematic Literature Review

Question answering systems (QAS) are developed to answer questions presented in natural language by extracting the answer.The development of QAS is aimed at making the Web more suited to human use by eliminating the need to sift through a lot of search results manually to determine the correct answer to a question.Accordingly, the aim of this study was to provide an overview of the current state of QAS research.It also aimed at highlighting the key limitations and gaps in the existing body of knowledge relating to QAS.Furthermore, it intended to identify the most effective methods utilized in the design of QAS.The systematic review of literature research method was selected as the most appropriate methodology for studying the research topic.This method differs from the conventional literature review as it is more comprehensive and objective.Based on the findings, QAS is a highly active area of research, with scholars taking diverse approaches in the development of their systems.Some of the limitations observed in these studies encompass the focused nature of current QAS, weaknesses associated with models that are used as building blocks for QAS, the need for standard datasets and question formats hence limiting the applicability of the QAS in practical settings, and the failure of researchers to examine their QAS solutions comprehensively.The most effective methods for designing QAS include focusing on syntax and context, utilizing word encoding and knowledge systems, leveraging deep learning, and using elements such as machine learning and artificial intelligence.Going forward, modular designs ought to be encouraged to foster collaboration in the creation of QAS.
Learner Autonomy: Learners’ Perceptions on Strategies to Achieve Autonomy in an EFL Classroom

Learner autonomy is considered as one of the most important factors contributing to lifelong learning for language learners studying at university. This is primarily because learners were likely to feel motivated and engaged when they were given the freedom to take charge of their learning. Higher Education in Oman has been relatively a recent phenomenon that was introduced three decades before. Ministry of Higher Education in Oman emphasis developing lifelong learning and self-study skills in learners studying at a higher educational institution in Oman. Most of the learners studying at higher educational institutions were taught by the native Arab speakers in schools, and they were mostly dependent on their teachers for the completion of different academic tasks in schools. Learner autonomy is now not desired but the obligatory aspect of learning under the current unprecedented circumstances where learners were required to take control of their learning, complete their tasks, assignments and projects on their own and where teacher intervention is minimal due to ‘remote teaching’ situation. The prevalent situation where technology has now taken the pivotal role in shaping the 21st century teaching and learning process, it is high need for the EFL learners studying at tertiary level at the university should be autonomous and critical thinkers who can control of their learning process and aware of the necessities of learning. Therefore, considering the learners’ spoon-feeding learning attitude at school and fast-changing learning requirement, the researcher aimed at identifying learners’ understanding and perceptions to achieve autonomy in learning in an EFL Context. This study also aims at finding out learners’ belief on the role of peers, teachers and social media in achieving autonomy in learning. By using mixed method approach, the researcher designed a 35-items Likert scale questionnaire and semi-structured interview questions to record the perceptions of 135 EFL learners studying at tertiary level in a private university in Oman. The results of the current study revealed that students were aware of the concept of learner autonomy and they believe that teacher’s scaffolding, peer intervention and use of social media platforms can not only help them to foster autonomy in them but also to gain confidence, motivation, self-esteem, sense of responsibility and self-determination in an EFL language learning environment. The implications of this research will assist the EFL teachers and the administration to consider EFL learners learning needs and learners’ self-efficacy and attitude towards their own learning.
Confirmatory Factor Analysis of the Life Cycle Costing Sub-Cost Distribution for Industrialised Building System using SEM-PLS

Industrialised Building System (IBS) contributes a great shift in sustainable construction, however previous studies have proven that one of the hindrances in promoting sustainable in IBS, is a high cost for pre-cast material components, thus effected the overall cost.In addition, the introduction of Life Cycle Costing (LCC) leads in providing a better and comprehensive cost estimation; as well as provides a significant advantage in the preparation of cost estimates, hence it provides a better baseline for decision making.The lacking application of LCC in IBS is still in trivial impact, where Malaysia experiences a slower progress of IBS construction, even though robust steps has been taken by the Government to influence construction players to accommodate LCC in projecting a comprehensive cost estimates, especially for IBS projects.This paper highlights an outcome of study that simulate the causal effect relationship between IBS Cost Factors and LCC Cost Distribution.A questionnaire survey was used to associate the IBS cost factors and LCC cost distribution and followed by Structural Equation Modelling (SEM) analysis which validate the relationships between the factors.The result of analysis was developed based on findings from 102 responded questionnaires which were distributed to Quantity Surveyors from various agencies.There were 5 LCC cost distribution factors used in this research and 43 IBS Cost Factors to get associated with.SEM-PLS was used to eliminate the cost association by eliminating factors recorded a loading value less than 0.70.From 43 IBS Cost Factors used earlier, only 15 cost factors were retain for further analysis and the development of a cost estimates using LCC approach.The outcome of this analysis is expected to guide the construction players to achieve more practical cost estimates and feasible alternatives for decision making in IBS construction, by focusing on the critical cost contributed to the overall cost of IBS project in Malaysia.
Non-Convex High Order Total Variation With Overlapping Group Sparsity Denoising Model Under Cauchy Noise

It is widely known that the total variation regularization model preserves the edges well in the restored images but has some staircase effects. We consider using non-convex high-order total variation and overlapping group sparsity as a hybrid regularization to present a new denoising model. The proposed model can well preserve edges and reduce the staircase effect in the smooth region of the restored images. In order to solve the proposed hybrid model, we develop an efficient alternating minimization method. Compared with other models for removing Cauchy noise, numerical experimental results demonstrate that the superiority of the proposed model and algorithm, both in terms of visual and quantitative measures.
Superresolution Imaging With a Deep Multipath Network for the Reconstruction of Satellite Cloud Images

Abstract Satellite cloud images play an important role in weather analysis and forecast. High‐resolution satellite images play a significant role in the study of mesoscale weather systems such as typhoons. With the increasing demands of locating and tracking techniques, the resolution of satellite images is no longer satisfactory. Enhancing their resolution with superresolution (SR) methods can help in identifying and locating weather systems. In this paper, we propose a multipath network model, called SRCloudNet, that involves joint training of a back‐projection network and a local residual network. SRCloudNet integrates features extracted from back‐projection units and residual dense blocks to achieve more accurate image reconstruction. We also developed a novel natural‐color cloud and contrail image data set, constituting the first‐ever satellite cloud image data set established for SR research. Because of the special features, contrail images were first used to test the performance of SRCloudNet. Extensive experiments demonstrated that SRCloudNet achieves superior performance.
Self-Determination as a Psychological Resource of Teacher’s Personal and Professional Development

Self-determination in the context of a teacher’s personal and professional development has become a relevant research subject due to the humanistic and person-oriented education focused on the development of an active and self-identifying personality. The aim of the paper is the psychological analysis of motivational self-determination processes as a subjective foundation for the personal and professional development of a teacher. Based on the modern psychological approaches to the self-determination phenomenon, the paper discusses the integrative mechanisms and internalization factors that determine the satisfaction with the activity and productivity of a teacher. The authors present their reasons in favour of a conceptual model of personal and professional characteristics of a teacher’s self-determination. They argue that self-determination and associated concepts of autonomy, internally motivated activity, developing learning environment, dialogue, facilitation, persistence, and involvement identify the essence of personal and professional development of a teacher as a psychological resource system. The authors conclude that the axiological creative content of self-determination processes integrates the diverse types of motivational tendencies in the pedagogical activity, highlighting the consistency and coherence of a teacher’s personal and professional development
Technology Adoption, Market Structure, and the Cost of Bank Intermediation

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Classification and Regression Trees

Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses. Additional resources are provided on www.cambridge.org/biostatistics.