Reviewerly/exHarmony huggingface dataset:
Data Security in Cloud Computing Using Image Compression with Reversible Data Hidden

As of late with the developing acknowledgments starting late, with the creating affirmation of conveyed registering, data redistributing has gotten an extensively used organization. Similarly, to ensure insurance and security of tricky data, it is basic to encode the data before redistributing it to the cloud. Because of such requirements, reversible data stowing endlessly in encoded picture (RDH-EI) has gotten gigantic interest from the masters. In this proposed work, another framework for RDHEI is reliant on invertible picture change not under any condition like the customary RDH-EI frameworks. In this procedure, instead of delivering and taking care of the encoded picture in befuddled structure (figure moulded picture) which may successfully pull in the thought of intruders or software engineers, it empowers the customer to change over the semantical substance of extraordinary picture into the semantical substance of uninhibitedly picked target image of a comparable size.
Face recognition based attendance system

In modern times, Automatic Face recognition (AFR) technologies have seen dramatic improvements in performance over the last few years. There are two reasons for this trend; the first is for saving the time in the classroom and accuracy in attendance will be maintained, and the second is availability of advanced technology it is more useful for the future generation. In simple words, it was a computer implementation for recognizing automatically whether the student is present in the classroom or not with the help of still image or video frame. We proposed an automatic attendance management system. It was completely based on face recognition and the face detection. This both detection and recognition will automatically detect the students in the classroom and mark the attendance by recognizing the person. This research includes for Face Detection of Students and system is based on CNN algorithms.
Determining the Multiplicative Complexity of Boolean Functions using SAT

We present a constructive SAT-based algorithm to determine the multiplicative complexity of a Boolean function, i.e., the smallest number of AND gates in any logic network that consists of 2-input AND gates, 2-input XOR gates, and inverters. In order to speed-up solving time, we make use of several symmetry breaking constraints; these exploit properties of XAGs that may be useful beyond the proposed SAT-based algorithm. We further propose a heuristic post-optimization algorithm to reduce the number of XOR gates once the optimum number of AND gates has been obtained, which also makes use of SAT solvers. Our algorithm is capable to find all optimum XAGs for representatives of all 5-input affine-equivalent classes, and for a set of frequently occurring 6-input functions.
이산해 쓴 의 서예사적 가치

Lee San-hae, civil minister of the middle Joseon dynasty, wrote Lee Dal-seon Stele in 1576, Lee Eon-jeok Stele in 1577, and Jo Kwang-jo Stele in 1585. Among the three written from the late 30’s to the middle 40’s, the first Lee Dal-seon Stele at Hwasun-gun, Geollanam-do is the tombstone to memorize Lee Dal-seon, famous writer of the time. Yun Gu composed the front side and Lee I the back side. Lee San-hae wrote the title on the top of the front side and both sides. Accordingly, it is a important stele showing the fantastic combination of the noted writers and calligrapher of the time. The excellence of the seal and regular scripts clearly tells us the fact that Lee San-hae was a master calligrapher in the 16th century. This paper is to search for the calligraphic value of Lee Dal-seon Stele that did not receive attention relatively, compared to the two stelae. The diversified seal script of the title writing, the regular script of the front side with the taste of the light running script, and the regular script of the back side with the sense of the heavy running script were written in some different feeling. It makes the stele very special in terms of the calligraphic style. At the same time, the round shape of the head of the stele, the round stroke of the seal script, and the flowing style of the regular script are natural and harmonious. The stele with such sense of difference and kinship is a very meaningful material having the value of the cultural assets. Lee San-hae succeeded to the style of Zhao Mengfu, the calligraphic trend of the early Joseon dynasty, partially kept with the style of Han Ho, that of the middle Joseon dynasty. Adding the style of Yan Zhengqing in China to them, Lee finally accomplished his own creative style revealed powerfulness and elegance as well as flyness and fluency beyond them. Therefore, the calligraphic value of Lee Dal-seon Stele, the first one written at the age of 38, should be judged worthy of his calligraphic reputation.
LibGuides: Introduction to eReading: Getting Started

Digital collections are an ever-growing part of public library catalogs. This guide will introduce users to options for accessing free eBooks at the public library. This guide is intended to be a basic guide for patrons unfamiliar with eBooks.
Nonmonotonic Inferences with Qualitative Conditionals based on Preferred Structures on Worlds

A conditional knowledge base R is a set of conditionals of the form If A, the usually B. Using structural information derived from the conditionals in R, we introduce the preferred structure relation on worlds. The preferred structure relation is the core ingredient of a new inference relation called system W inference that inductively completes the knowledge given explicitly in R. We show that system W exhibits desirable inference properties like satisfying system P and avoiding, in contrast to e.g. system Z, the drowning problem. It fully captures and strictly extends both system Z and skeptical c-inference. In contrast to skeptical c-inference, it does not require to solve a complex constraint satisfaction problem, but is as tractable as system Z.
CNN-based Approach for Cervical Cancer Classification in Whole-Slide Histopathology Images.

Cervical cancer will cause 460 000 deaths per year by 2040, approximately 90% are Sub-Saharan African women. A constantly increasing incidence in Africa making cervical cancer a priority by the World Health Organization (WHO) in terms of screening, diagnosis, and treatment. Conventionally, cancer diagnosis relies primarily on histopathological assessment, a deeply error-prone procedure requiring intelligent computer-aided systems as low-cost patient safety mechanisms but lack of labeled data in digital pathology limits their applicability. In this study, few cervical tissue digital slides from TCGA data portal were pre-processed to overcome whole-slide images obstacles and included in our proposed VGG16-CNN classification approach. Our results achieved an accuracy of 98,26% and an F1-score of 97,9%, which confirm the potential of transfer learning on this weakly-supervised task.
Component Analysis of Adjectives in Luxembourgish for Detecting Sentiments.

The aim of this paper is to investigate the role of Luxembourgish adjectives in expressing sentiments in user comments written at the web presence of rtl.lu (RTL is the abbreviation for Radio Television Letzebuerg). Alongside many textual features or representations,adjectives could be used in order to detect sentiment, even on a sentence or comment level. In fact, they are also by themselves one of the best ways to describe a sentiment, despite the fact that other word classes such as nouns, verbs, adverbs or conjunctions can also be utilized for this purpose. The empirical part of this study focuses on a list of adjectives that were extracted from an annotated corpus. The corpus contains the part of speech tags of individual words and sentiment annotation on the adjective, sentence and comment level. Suffixes of Luxembourgish adjectives like -esch, -eg, -lech, -al, -el, -iv, -ent, -los, -barand the prefixon- were explicitly investigated, especially by paying attention to their role in regards to building a model by applying classical machine learning techniques. We also considered the interaction of adjectives with other grammatical means, especially other part of speeches, e.g. negations, which can completely reverse the meaning, thus the sentiment of an utterance.
PSYCHOLOGICAL LITERACY OF TEACHERS IN THE ROLE OF YOUTH MENTORS

The concept of psychological literacy is important in education, but its use is lacking in Slovakia as well as mentoring relationships in school environment.Psychological literacy is defined as the ability to understand basic psychological principles and the ability to use these principles in practice.Mentoring of youth is understood as the existence of a nonparental significant adult who provides social support.Knowledge and skills needed for this role as part of psychological literacy should be included in the curriculum of education students.The aim of the contribution was to explore the understanding of psychological literacy of teachers in Slovakia in terms of knowledge, competencies and attitudes, specifically for the role of the natural mentor of pupils.Three focus groups were conducted with 18, 20 and 24 participants (82% of women; Mage=41,4; 68% of teachers have 15-20 years of practice) and two moderators in three regions of Slovakia.Participants were primary and secondary school teachers, selected based on willingness to participate in the research.Six theoretical areas of psychological literacy were identified: (1) respecting psychological patterns in pedagogical practice; (2) counselling interview (3) competencies for cooperation in the school context; (4) commitment to the teaching profession; (5) life skills (critical thinking; self-regulation; social competence); (6) ability to handle stressful situations.These six theoretical areas will be the base for the Q-methodology creation and further for the preparation of theoretical model of psychological literacy of teachers.Research will also contribute to the innovation of the psychological training of future teachers at universities in Slovakia.The understanding of the concept of mentoring in the school context and the role of a teacher as a mentor is discussed.
Mineração de texto aplicada à identificação de Fake News

AbstractIn the present due to the advancement in the Technologies of Information and Communicationthat they influenced mainly the advancement of the Internet and of his tools, like the socialmedias, for example, the growth of the produced and stored data they grew in the formexponencial in the last decade. This fact finished making possible that the users couldexpress his opinions and share several news and informations for the Internet, howeversometimes such informations are not true and are even so spread as if they were true, sucha phenomenon is known how fake news. This event can be understood how false, whatnews is created and spread with a specific objective, be political or financial he. Insidethis context there is a scenery who needs the application of techniques and methods forthe automatic identification of the fake news, there is in sight the quantity of availableinformations impossible compensation a classification of manual way. In this work iselucidated approaches that use the text mining, being able to be used like automaticsolution in the identification and classification of false news, as well as it is demonstratedin the studies of cases already developed in this perspective, aiming to show the results ofthese inquiries while discussing his relevance for the area.
ON-TRAC Consortium End-to-End Speech Translation Systems for the IWSLT 2019 Shared Task

This paper describes the ON-TRAC Consortium translation systems developed for the end-to-end model task of IWSLT Evaluation 2019 for the English-to-Portuguese language pair. ON-TRAC Consortium is composed of researchers from three French academic laboratories: LIA (Avignon Universit\'e), LIG (Universit\'e Grenoble Alpes), and LIUM (Le Mans Universit\'e). A single end-to-end model built as a neural encoder-decoder architecture with attention mechanism was used for two primary submissions corresponding to the two EN-PT evaluations sets: (1) TED (MuST-C) and (2) How2. In this paper, we notably investigate impact of pooling heterogeneous corpora for training, impact of target tokenization (characters or BPEs), impact of speech input segmentation and we also compare our best end-to-end model (BLEU of 26.91 on MuST-C and 43.82 on How2 validation sets) to a pipeline (ASR+MT) approach.
Discussion and reflection on Jung's self-nature

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Modeling Complex Business Environments for Context Aware Systems

Context awareness in complex business environments has been recognized as a major challenge for enterprise information systems. Although, the development of a context aware system in different application domains is convincingly documented in current literature, the design of such systems requires greater attention. Particularly, investigating the context of a context aware system. In this paper, we present a step-wise method to model a complex business environment. The method provides an approach for investigating a context and using the investigation results in subsequent design steps.
Sound/image relations in videomusic

This chapter proposes a typology of sound/image relations in audiovisual forms, using videomusic as a model. The typology identifies how syntactical, kinetic and morphological relations between music and moving images carry the discourse of screen-based videomusic works. In videomusic, discourse forms a meta-narrative, in which the connection of music and moving images yields coherent meaning outside the conventional unfolding of a story. The sentient awareness that sound and image bind together over variable time spans generates the main rewarding experiences in these types of works. Borrowing from film theory, electroacoustic music theory and Gestalt psychology, the typology is built around two classes of sound/image relations: synchresis (when do connections happen) and diegesis (the context in which connections happen). The traditional meaning of the terms synchresis and diegesis is extended in a number of ways and, using examples from a number of artists’ work, ten descriptors of synchresis and seven descriptors of diegesis are identified.
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences

Distributed representation of words has improved the performance for many natural language tasks. In many methods, however, only one meaning is considered for one label of a word, and multiple meanings of polysemous words depending on the context are rarely handled. Although research works have dealt with polysemous words, they determine the meanings of such words according to a batch of large documents. Hence, there are two problems with applying these methods to sequential sentences, as in a conversation that contains ambiguous expressions. The first problem is that the methods cannot sequentially deal with the interdependence between context and word interpretation, in which context is decided by word interpretations and the word interpretations are decided by the context. Context estimation must thus be performed in parallel to pursue multiple interpretations. The second problem is that the previous methods use large-scale sets of sentences for offline learning of new interpretations, and the steps of learning and inference are clearly separated. Such methods using offline learning cannot obtain new interpretations during a conversation. Hence, to dynamically estimate the conversation context and interpretations of polysemous words in sequential sentences, we propose a method of Simultaneous Contextualization And INterpreting (SCAIN) based on the traditional Simultaneous Localization And Mapping (SLAM) algorithm. By using the SCAIN algorithm, we can sequentially optimize the interdependence between context and word interpretation while obtaining new interpretations online. For experimental evaluation, we created two datasets: one from Wikipedia's disambiguation pages and the other from real conversations. For both datasets, the results confirmed that SCAIN could effectively achieve sequential optimization of the interdependence and acquisition of new interpretations.
Learning From Prototypes

Computer hardware development often involves a succession of hardware prototypes. These prototypes are often discarded once their functionality is tested, performance measured, and their faults detected and analyzed. Occasionally, functional prototypes are used for a short while for demonstration purposes during products’ preannouncements or unveiling to attract the attention of investors and technology commentators. And this is where the life cycle of prototyping typically ends.
A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously

Item response theory (IRT) is a popular modeling paradigm for measuring subject latent traits and item properties according to discrete responses in tests or questionnaires. There are very limited discussions on heterogeneity pattern detection for both items and individuals. In this paper, we introduce a nonparametric Bayesian approach for clustering items and individuals simultaneously under the Rasch model. Specifically, our proposed method is based on the mixture of finite mixtures (MFM) model. MFM obtains the number of clusters and the clustering configurations for both items and individuals simultaneously. The performance of parameters estimation and parameters clustering under the MFM Rasch model is evaluated by simulation studies, and a real date set is applied to illustrate the MFM Rasch modeling.
An Enhanced Differential Evolution Algorithm with New Environmental-Based Parameters for Solving Optimization Problems

For solving the complex and nonlinear problems, there are numerous nature-inspired algorithms exist, and differential evolution (DE) is one of the best algorithms. DE is utilized in numerous fields of science and engineering. It suffers some drawbacks like, this algorithm suffers from premature convergence rate and furthermore the stagnation problem. This paper presents a novel approach New Environmental-based Parameter for Differential Evolution (NEPDE). In this article, two new variants of DE (NEPDE-B and NEPDE-CR) have been proposed for solving the stagnation problem and maintaining diversity. This approach improved the performance of the standard differential evolution, and convergence speed is also improved. The candidate’s solutions do not converge to a specific point to the search space. We used CEC2015 benchmark functions for measuring the performance of the proposed algorithm, and the results indicate that the proposed approach is able to find effective solutions after comparing the different state-of-the-art algorithms of DE.
Effects of scenario simulation combined with case share on fall prevention in elderly patients

ObjectiveTo explore the effects of scenario simulation combined with case share on fall prevention education in elderly patients.MethodsA total of 80 elderly patients admitted in Shaanxi Provincial People's Hospital from January 2016 to December 2017 were selected by convenient sampling and equally divided into two groups according to the random number table. Patients in the control group received conventional fall prevention education, while patients in the observation group received fall prevention education which combined scenario simulation and case share. Falls of patients, effects of education and satisfaction were compared between the two groups.ResultsThe incidence rate of falls in the observation group during hospitalization was 10.0%, while that in the control group was 20.0% (χ2=4.325; P<0.05) ; the knowledge of fall prevention, the awareness of fall prevention and fall prevention compliance scored (86.3±5.2) , (84.2±5.3) and (91.3±8.4) , higher than those in the control group (t=9.981, 9.040, 12.872; P<0.01) , which were (76.3±4.4) , (75.2±3.4) and (71.3±5.1) respectively. The satisfaction with nursing in the observation group was 95.0%, higher than that in the control group (χ2=4.201; P<0.05) .ConclusionsFall prevention education which combines scenario simulation and case share can effectively enhance the awareness of fall prevention, reduce the incidence of falls and improve the satisfaction with nursing in the patients, which is worth promoting in clinical practice.Key words: Aged; Accidental falls; Scenario simulation; Fall prevention education; Satisfaction
잠재적고객요구개선지수와 기대손실을 고려한 물류서비스 평가모형 개발

Logistics companies are worrying about securing of differential competitiveness so as to be competitive companies in keen logistics market. The ground is how users are satisfied by sell-established service system to respond not only economic feasibility of logistics costs but also diversity and advancement of logistics needs. The competitiveness of logistics companies is also caused by customer satisfaction of service and only companies finding and satisfying customer needs continuously may be more competitive. For the competitiveness, it’s the most important to analyze demands of current and potential customers and their pursuing value properly. Therefore, this researcher grasped PSL for online logistics service users with 5-point Likert-scale and quality-level decision method that consider the weighted value based on Kano model, measured customer’s potential Demand for service through PCDI, and suggested methodology for deciding the priority of the improvement with loss function of Taguchi.
Anotaciones multimedia como herramienta de debate en aula invertida de Ciencias Sociales. Análisis de datos mediante PLN.

espanolEl presente estudio pretende comprobar si la introduccion de las anotaciones multimedia en contextos docentes que buscan la maxima participacion discente (aula invertida), muestran utilidad practica o no. Para ello, se ofrece el resultado de un estudio de caso realizado sobre 28 estudiantes de Master de Profesorado en Ciencias Sociales. Entre los aspectos positivos destaca el grado de implicacion alcanzado, la totalidad del universo de referencia; mientras que entre los aspectos a mejorar se evidencia la dificultad de comprension de la tarea. Con todo, los resultados invitan a profundizar en esta linea de trabajo mediante procesamiento de lenguaje natural (PLN) en el ambito de las Ciencias Sociales, como herramienta auxiliar de evaluacion en contextos masificados. EnglishThe present study intends to verify whether the introduction of multimedia annotations in teaching contexts that seek maximum student participation (inverted classroom), shows practical utility or not. To do this, the result of a case study on 28 students of Master Degree on Social Sciences is offered. Among the positive aspects, the degree of involvement achieved, the totality of the reference universe stands out; while among the aspects to be improved, the difficulty of understanding the task and its questions is evidenced, given the greater degree of individual autonomy, resulting in difficulties of relevance, precision and prior contrast of the data obtained. However, the results invite us to deepen this line of work through natural language processing (NLP) in the field of Social Sciences, as an auxiliary tool for evaluation in mass contexts.