Reviewerly/exHarmony huggingface dataset:
Figure dell’autore nei volgarizzamenti e nelle cronache in volgare. Aspetti teorici e linee di una ricerca storico-linguistica nei testi medioevali

The paper focuses on the cultural frameworks and ideas of authorship shared by translators of historical texts, and by historians and chroniclers in the vernaculars. Focussing on lexical choices and textual strategies adopted in the volgarizzamenti of Bono Giamboni and Binduccio dello Scelto, as well as in the chronicles written by Dino Compagni, Giovanni Villani, Anonimo romano and by the anonymous compositore of the so-called Cronaca di Partenope, the essay sheds light on the different ways of constructing authorship. Attention has been paid to three different aspects: the use of formal markers for signaling truthfulness and the role of personal testimony in the construction of the image of the historian/chronicler as reliable witness; the construction of a narrative architecture and the role of the historian/chronicler as narrator; the selection and the re-use of sources and the role of the historian/chronicler as collector of previous historical texts.
Key Frame Extraction Based on Binocular Cameras

Key frames provide the effective summary information for video retrieval and browsing, which mostly represents the main content for video sequences. The statistical results prove that color, as a feature that represents image content, proved widely used in the key frame extraction. Stereo correspondence has been an indispensable research direction in the field of computational stereo vision. Stereo vision is introduced for the purpose of improving previous key frame extraction algorithms, which is the key contribution of our work presented in this paper. A novel image similarity measurement is constructed by combining the color moment with SAD. Experimental results demonstrate that the average evaluation coefficient obtained by the improved algorithm in this paper reach up to 95% in the situation of camera stillness and motion. The novel algorithm solves the issue of redundancy which stems from the large changes of content among consecutive frames in the process of extracting key frames using monocular cameras, and performs more robust compared with traditional algorithms.
PENGARUH KETERSEDIAAN FASILITAS, KENYAMANAN DAN PELAYANAN TERHADAP MINAT MEMBACA DI PERPUSTAKAAN UMUM DAERAH KEFAMENENU KABUPATEN TIMOR TENGAH UTARA

This study aims to determine the effect of the availability of facilities, comfort and service to interest in reading in the Kefamenanu Regional Public Library. This research was conducted at the Kefamenanu Regional Public Library. The sample determination technique uses the Slovin formula with a sample of 100 people. Analysis Method The data used are validity and reliability analysis, classic assumption test and multiple linear regression using SPSS 21 program. The results showed that based on the partial test (t test), the availability of facilities, convenience and services had an effect on reading interest in the City Public Library Kefamenanu. Simultaneously (F test), Availability of Facilities, Convenience and Services has an effect on Reading Interest with a significance of 0,000 <0,05.
TESI - MOBILE APPLICATION FOR EDUCATION AND SOCIAL INCLUSION OF PEOPLE WITH COMMUNICATION DIFFICULTIES

TESI - MOBILE APPLICATION FOR EDUCATION AND SOCIAL INCLUSION OF PEOPLE WITH COMMUNICATION DIFFICULTIES
Semantic Transformation from SARL Agent-oriented Statements to Java Object-oriented Statements

As a general-purpose agent-oriented programming language, SARL aims at providing the fundamental abstractions that are usually considered as essential for implementing agentbased applications. Every programming language specifies an execution model. In the case of SARL, this execution model is defined based upon the object-oriented paradigm, i.e. a Java-based run-time environment. The goal of this paper is the explanation of the mapping between the agent paradigm and the object-oriented paradigm, and the definition of transformations from the SARL constructs to the object-oriented constructs. They enable the SARL developer understanding the SARL statements, and the mapping to executable entities.
Supervised Learning with TensorFlow

In this chapter, we will be explaining the concept of supervised machine learning. Next, we take a deep dive into such supervised machine learning techniques as linear regression, logistic regression, and boosted trees. Finally, we will demonstrate all the aforementioned techniques, using TensorFlow 2.0.
Prediction of incident renal replacement therapy (iRRT) use in ICU population with artificial intelligence (AI), and SOFA, OASIS, APSIII severity scores

Background: Prediction tool for incident renal replacement therapy (iRRT) use could potentially improve outcomes in ICU population. We used the data from the Medical Information Mart for Intensive Care III (MIMIC III) database to create artificial intelligence (AI) iRRT use prediction model.Methods: Based on routinely collected data in ICU we identified and engineered 679 candidate predictors of iRRT use. The iRRT was defined as any dialysis-related event charted in the electronic medical record (EMR) within the seven days following the first 24 hours of ICU admission. ICU stays of patients on dialysis before ICU admission, and with dialysis-related events charted before the end of first 24 hours were excluded. Remaining 18379 ICU stays were randomly divided 400 times, into training and testing datasets. For each random training dataset, AI-model for iRRT prediction was trained. Predictions of AI, SOFA, OASIS, and APSIII, were validated on testing dataset against the known use of iRRT with the area under the curve (AUC) of receiver-operator characteristics curve (ROC) recorded.Result: For all 400 iterations, AUC of ROC for AI-model was 0.88 [95% CI 0.88-0.89] and was higher than SOFA, APSIII and OASIS: 0.82 [0.82-0.82], 0.81 [0.81-0.81], and 0.7 [0.69-0.7] AUCs respectively (p<0.001).Conclusion: AI-model was accurate in predicting patients who survive until, consent and undergo iRRT after ICU admission. High AUC for the AI model trained only on data from first 24 hours of ICU stay emphasizes the importance of initial ICU management on renal outcomes.
On Need for Topology-Aware Generative Models for Manifold-Based Defenses

ML algorithms or models, especially deep neural networks (DNNs), have shown significant promise in several areas. However, recently researchers have demonstrated that ML algorithms, especially DNNs, are vulnerable to adversarial examples (slightly perturbed samples that cause mis-classification). Existence of adversarial examples has hindered deployment of ML algorithms in safety-critical sectors, such as security. Several defenses for adversarial examples exist in the literature. One of the important classes of defenses are manifold-based defenses, where a sample is pulled back into the data manifold before classifying. These defenses rely on the manifold assumption (data lie in a manifold of lower dimension than the input space). These defenses use a generative model to approximate the input distribution. This paper asks the following question: do the generative models used in manifold-based defenses need to be topology-aware? Our paper suggests the answer is yes. We provide theoretical and empirical evidence to support our claim.
Towards a Robust Classifier: An MDL-Based Method for Generating Adversarial Examples

We address the problem of adversarial examples in machine learning where an adversary tries to misguide a classifier by making functionality-preserving modifications to original samples. We assume a black-box scenario where the adversary has access to only the feature set, and the final hard-decision output of the classifier. We propose a method to generate adversarial examples using the minimum description length (MDL) principle. Our final aim is to improve the robustness of the classifier by considering generated examples in rebuilding the classifier. We evaluate our method for the application of static malware detection in portable executable (PE) files. We consider API calls of PE files as their distinguishing features where the feature vector is a binary vector representing the presence-absence of API calls. In our method, we first create a dataset of benign samples by querying the target classifier. We next construct a code table of frequent patterns for the compression of this dataset using the MDL principle. We finally generate an adversarial example corresponding to a malware sample by selecting and adding a pattern from the benign code table to the malware sample. The selected pattern is the one that minimizes the length of the compressed adversarial example given the code table. This modification preserves the functionalities of the original malware sample as all original API calls are kept, and only some new API calls are added. Considering a neural network, we show that the evasion rate is 78.24 percent for adversarial examples compared to 8.16 percent for original malware samples. This shows the effectiveness of our method in generating examples that need to be considered in rebuilding the classifier.
Developing a medical library portal using a free and open source content management system Joomla

Developing a medical library portal using a free and open source content management system Joomla - IJLSIT- Print ISSN No: - 2582-1555 Online ISSN No:- 2456-9623 Article DOI No:- 10.18231/j.ijlsit.2019.026, IP Indian Journal of Library Science and Information Technology-IP Indian J Libr Sci Inf Technol
Automation and networking of agricultural university libraries in Karnataka: A study

Automation and networking of agricultural university libraries in Karnataka: A study - IJLSIT- Print ISSN No: - 2582-1555 Online ISSN No:- 2456-9623 Article DOI No:- 10.18231/j.ijlsit.2019.021, IP Indian Journal of Library Science and Information Technology-IP Indian J Libr Sci Inf Technol
CULTIVATING BIOPHILIC CONSCIOUSNESS AMONG PRE-SERVICE TEACHERS

Appears in: ICERI2019 Proceedings Publication year: 2019Page: 9240ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2234Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Teachers' Awareness of Students with Learning Disabilities:The Case of Selected Primary Schools of Wollega Zones

This study assessed the existence o f students with learning disabilities in primary schools and teachers were aware of their existence. The study employed exploratory research design. 210 teachers were drawn out o f465 teachers from four primary schools which are selected randomly (i.e., from four Wollega Zones). Questionnaires, classroom observation guide, interview schedules, and documentary review checklist were used to collect data. The collected data were analyzed thematically. The descriptive statistics used involved frequencies, means, charts, and tables. The finding showed 8% of students in these primary schools show learning disabilities characteristics even though little teachers were conscious of their presence and how to provide appropriate instruction for their learning. This showed that, most teachers focus on visible disabilities and these students were not receiving appropriate type intervention. Finally, based on the findings, it was suggested that, awareness raising activities should be designed to the school principals, teachers so that they could support and encourage students with learning disability.
Institutional Environment of the Small and Medium Enterprises

The research develops a theoretical background for making an analysis of institutional environment to identify factors hindering SME growth in Vietnam. Old institutional economics assumes that institutions can influence individual behavior - individuals act out of duty or awareness of what one is “supposed” to do. New institutional economics adds cognitive influence - individuals act because of conceptions rather than acting based on obligation. Social institutionalism (SI) adopts a multidimensional approach to explain individual behavior. The organizational performance is influenced by external institutional environmental factors and factors at an organizational level. The external institutional factors hindering SME development in Vietnam include economic constraints (limited access to loan, high labor costs), low level of technology, tight competition and high costs of complying formal institutions. At the organizational level, factorshindering SME development are low firm's flexibility in shifting from informal into formal sector, low firm’s competence and poor organizational strategic orientation. Policies promote SME development should remove abovementioned factors.Keywords: institutional environment, economic constraints, institutional factors, limited access to loan, tight competition.
(1906-5269) Interpolating time series based on fuzzy cluster analysis problem

This study proposes the model for interpolating time series to use them to forecast effectively for future. This model isestablished based on the improved fuzzy clustering analysis problem, which is implemented by the Matlab procedure.The proposed model is illustrated by a data set and tested for many other datasets, especially for 3003 series in M3-Competition data. Comparing to the existing models, the proposed model always gives the best result. We also applythe proposed model in forecasting the salt peak for a coastal province of Vietnam. Examples and applications show thepotential of the studied problem.
Extreme Learning Tree

The paper proposes a new variant of a decision tree, called an Extreme Learning Tree. It consists of an extremely random tree with non-linear data transformation, and a linear observer that provides predictions based on the leaf index where the data samples fall. The proposed method outperforms linear models on a benchmark dataset, and may be a building block for a future variant of Random Forest.
Software correction of angular misalignments of tilted reference solar cells using clear-sky satellite open data

In-situ measurements for photovoltaic systems are very sensitive to angular misalignments. It can lead to errors in many steps of a photovoltaic (PV) project. In this paper, we propose a simple and robust method to estimate and correct a posteriori the angular misalignment of tilted reference solar cells or pyranometers. The method uses output of the clear-sky irradiance model McClear, a free Copernicus Atmospheric Monitoring Service. We applied the method in 6-month data composed of 7 different tilted reference solar cells. We find that angular misalignment estimation found in the case study are meaningful. Finally, we showed the angular correction found improves satellite-based estimation of GTI for the 6 following months of data for clear sky days, for both RMSE and bias indicators.
Evaluation of the Results of E-Learning practice in Russia and Prospects for Its Development

The paper presents the analysis of e-learning technologies adoption in the higher education environment in Russia and advanced countries. Online study grows rapidly in the modern world. This area of higher education in Russia does not currently exceed the global growth rate but is developing rapidly, especially in external programs and advanced training.
Deep Quarantine for Suspicious Mail

In this paper, we introduce DeepQuarantine (DQ), a cloudtechnology to detect and quarantine potential spam messages. Spam at-tacks are becoming more diverse and can potentially be harmful to emailusers. Despite the high quality and performance of spam filtering sys-tems, detection of a spam campaign can take some time. Unfortunately,in this case some unwanted messages get delivered to users. To solve thisproblem, we created DQ, which detects potential spam and keeps it ina special Quarantine folder for a while. The time gained allows us todouble-check the messages to improve the reliability of the anti-spam so-lution. Due to high precision of the technology, most of the quarantinedmail is spam, which allows clients to use email without delay. Our solutionis based on applying Convolutional Neural Networks on MIME headersto extract deep features from large-scale historical data. We evaluatedthe proposed method on real-world data and showed that DQ enhancesthe quality of spam detection.
A Psychological Analysis On The Impact Of Excessive Affection In Cecelia Ahern’s P.S. I Love You (2004)

This research aims to analyze the impact of excessive affection that exists in the novel P.S. I Love You by Cecelia Ahern. This novel tells the story of a woman named Holly Kennedy who lost her husband due to a brain tumor. The researcher uses the Individual Psychological Approach to conduct this study. In this study, the object of this theory is the mental impact that exists on the main character Holly Kennedy. The researcher uses data sources in the form of literary data. The researcher uses a qualitative method in this research, this method can provide information clearly and also solve the problems or answer the problems that exist in this novel in detail and clearly. Thus, the result of this study discusses the characteristics of Holly Kennedy, the tragedy that makes Holly Kennedy's life uncontrollable, and the impact of excessive affection in P.S. I Love You novel.Keywords : Excessive affection, individual psychological, impact, tragedy
Securing Your Fleet

What’s really a threat on an Apple device? That’s often according to who you ask. But in order for Apple devices to be allowed on corporate networks, there’s a few criteria that must be met and rarely have I seen an auditor who is willing to budge on these requirements. If you disagree that something is necessary then you should absolutely speak up; however, a second or third effort is really just likely to make them dig into their position. And sometimes, they’re right.
Impact of Life Skill Education Training Programme on Emotional Competence among 8thstd Students

In this era, life, globally, is undergoing significant transition and change. Young people hold the promise of our future. They are our demographic force. With the life situations becoming more complex and challenging, there is great need for the generation to learn how to cope with change. Life skills enable them to face the challenges of life with confident and positive attitude. Researcher tried to focus on acquisition of life skills by 8th std students will be effective on their emotional competency. Life skills education programme is planned to enhance knowledge and enable them to deal effectively with life’s diversities and stressful moments with a sense of calm.
Modelo de acessibilidade em governo eletrônico: uma análise comparativa da Biblioteca Digital Brasileira de Teses e Dissertações e do Portal de Periódicos da CAPES

Web accessibility guidelines appear a possibility to extend turn more democratic the digital access for people with disabilities. The present work aims to analyze the use of the Accessibility Model in Electronic Government (e-MAG) in the construction of government websites on the digital accessibility of people with disabilities. It presents a comparative study between two sources of information, the Brazilian Digital Library of Theses and Dissertations (BDTD) and the Portal of Periodicals of CAPES, with the standards of digital accessibility proposed by the Accessibility Model in Electronic Government. The methodological procedures are descriptive, documental and qualitative bibliographical, applying the systematic observation, from manual and automatic validators, in the analysis of the data. The results showed that the two sources of information analyzed met some accessibility principles. It observed, however, that the amount of non-application of the accessibility standards is greater than its application. It was possible to identify that the Portal of Periodicals of CAPES showed more failures in the organization and disposition of the accessible resources, in comparison to the Digital Library of Theses and Dissertations, for having more elements and tools structured in its page. It is noted that digital accessibility in government information sources is far from being a widely.
Nuts and Bolts of Application Development

In Chapter 6, we covered Lightning Flow, followed by an in-depth overview of Lightning Process Builder. We also examined approval processes using real-life examples.
Cacol: A zero overhead and non-intrusive double caching mitigation system

In a virtualized server, a page cache (which caches I/O data) is managed in both the hypervisor and the guest Operating System (OS). This leads to a well-known issue called double caching. Double caching is the presence of the same data in both the hypervisor page cache and guest OS page caches. Some experiments we performed show that almost 64% of the hypervisor page cache content is also present in guest page caches. Therefore, double caching is a huge source of memory waste in virtualized servers, particularly when I/O disk-intensive workloads are executed (which is common in today’s data centers). Knowing that memory is the limiting resource for workload consolidation, double caching is a critical issue. This paper presents a novel solution (called Cacol) to avoid double caching. Unlike existing solutions, Cacol is not intrusive as it does not require guest OS modification and induces very little performance overhead for user applications. We implemented Cacol in KVM hypervisor, a very popular virtualization system. We evaluated Cacol and compared it with Linux default solutions. The results confirm the advantages (no guest modification and no overhead) of Cacol against existing solutions.
Bitcoiners in Wonderland: Lessons From the Cheshire Cat

This article examines the legal boundaries of bitcoins, seeking to understand them at a time of rapid change. In doing so, it asks whether bitcoins can be conceived as property under English law, and how they can be alienated. It also highlights the distance between the conventional perception of ownership rights over bitcoins and the developments in market practice. The reality today is that bitcoins are held and traded on exchanges on terms inconsistent with the original techno-utopian belief that trust in a central authority could be replaced with trust in computer code and mathematics. After the euphoria of the past ten years, changes in market practice raise concerns (also) on the possibility that purchasers of bitcoins are not well informed on the inherent legal risks in the investment and exposed to learn the lesson of how financial bubbles operate the hard way.
Socio-cultural and philosophical problems of the information society

In the transition to the information society, a number of sociocultural and philosophical problems arise that change the worldview of modern man. The study of these changes in the minds of people was engaged in philosophers of the 20th century: M. Castells, E. Toffler, D. Bell etc.
Peer Victimization among Children with Special Needs: A Review Paper

All the children are not same. They were having different learning style as well as different area of interest. Some of them were good at academics while others were good at play. It is necessary for every child to acquire with basic skills like reading, writing, listening and speaking. When the child faces any kind of difficulty in any of these areas it is consider to be a problematic situation and termed as learning disability. Not only the child faces problem in learning but also deals with other psychological problems. Nowadays peer victimization is a common practice prevailing in schools. Many researchers found that peer victimization occurs due to lack of proper supervision or guidance to the victim. Also the study found that peer victimization affect more to the learning disability children groups. Children with learning disability were easily targeted and were victimized by their peers when compared with the children without learning disability. It was found that girls with ADHD are more likely affected by peer victimization than compared with the boys with ADHD.