Reviewerly/exHarmony huggingface dataset:
Seguridad web con Zend Framework 3

En el mundo de la web existen diferentes formas de crear aplicaciones que permiten gestionar diversa informacion. Es necesario que la informacion se transporte e incluso se proteja debido a la gran cantidad de ataques informaticos que ocurren a diario. Por ello, siempre hay que tomar medidas preventivas y reactivas para frenarlo y que, gracias a estas medidas, nuestra aplicacion web no sufra ningun tipo de vulnerabilidad. En este TFM se recopilan un conjunto de vulnerabilidades web realizando un desarrollo seguro de una aplicacion y como podrian tomarse soluciones si son detectadas. Para ello se ha implementado una pequena tienda online a traves de un framework de desarrollo. La tienda dispondra de varios roles, un invitado, un usuario registrado que podra comprar productos, ver su perfil e historial de compras, asi como un administrador con las mismas funcionalidades, pudiendo gestionar productos, categorias y usuarios. Posteriormente, se ha procedido a realizar un escaner de vulnerabilidades a traves de una herramienta para dicho cometido llamada ZAP OWASP para comprobar las medidas tomadas. Abstract: In the world of the web there are different ways of creating applications that allow managing diverse information. It is necessary that the information is transported and even protected due to the large number of computer attacks that occur daily. Therefore, you should always take preventive and reactive measures to stop it and that, thanks to these measures, our web application does not suffer any kind of vulnerability. In this TFM, a set of web vulnerabilities are collected, making sure that an application is developed safely and how solutions could be taken if they are detected. For this, a small online store has been implemented through a development framework. The store will have several roles, a guest, a registered user who will be able to buy products, view their profile and purchase history, as well as an administrator with the same functionalities, being able to manage products, categories and users. Subsequently, a vulnerability scanner was carried out using a tool for this purpose called ZAP OWASP to check the measures taken.
EVALUATION OF PSYCHOMETRIC PROPERTY ITEMS OF COMPUTER-BASED NATIONAL EXAMS BASED ON ITEM RESPONSE THEORY AND RESPONSE TIME

The quality of UNBK results is strongly determined by psychometric properties of items and response time of each examinee. This study aims to analyze and evaluate the psychometric properties of UNBK items and find the relationship between response time and difficulty index (b) using IRT 1 Parameter. The data used in this study were in the form of log file data from each UNBK examinees in IPA 2017/2018 Academic Year in DKI Jakarta. The difficulty index (b) is related to response time, then the relationship is described. The results of the psychometric property analysis of items obtained difficulty of items: easy 6 items; moderately difficult 28 items; and difficult 6 items. Psychometric property evaluation results obtained all items fit with the model. Person measure shows that examinees' abilities are still above the difficulty items, item reliability indicates that the reliability or consistency of the examinees' answers is in the criteria are sufficient while the item reliability is very good, the separation value indicates the quality of the instrument is good, the information function of the test package is very close to the normal curve shape. An increase of ability was not followed by a decrease in response time. Item difficulty, level cognitive items, and ability are not linear relationship with response time.
SyntaxFest 2019 Invited talk - Arguments and adjuncts

Linguists agree that the phrase "two hours" is an argument in "John only lost two hours" but an adjunct in "John only slept two hours", and similarly for "well" in "John behaved well" (an argument) and "John played well" (an adjunct).While the argument/adjunct distinction is hardwired in major linguistic theories, Universal Dependencies eschews this dichotomy and replaces it with the core/non-core distinction.The aim of this talk is to add support to the UD approach by critically examinining the argument/adjunct distinction.I will suggest that not much progress has been made during the last 60 years, since Tesnière used three pairwise-incompatible criteria to distinguish arguments from adjuncts.This justifies doubts about the linguistic reality of this purported dichotomy.But -given that this distinction is built into the internal machinery and/or resulting representations of perhaps all popular linguistic theories -what would a linguistic theory not making such an argument-adjunct distinction look like?I will briefly sketch the main components of such an approach, based on ideas from diverse corners of linguistic and lexicographic theory and practice.
Ακαδημαϊκές βιβλιοθήκες και τοπικά δίκτυα: νέες ευκαιρίες δράσης

Academic libraries operate as a “hub” for transferring knowledge from universities to society, providing additional motives for action.The outreach shown by academic libraries has recently focused on their efforts to interact with the existing local communities beyond the traditional functions addressed for their users. Thus, the role of the library has expanded as academic librarians are taking advantage of opportunities for new collaborations both within outside of their academic community, based on the recognition that libraries' can also be a partner in education research and not just a place to study or a repository”.The presentation will briefly outline the current state of academic libraries highlight the knowledge transfer outreach.Emphasizing academic libraries long experience in collaborations referring to the existing collaborative schemes that have been formed in the Greek librarianship community, the presentation aims to address the factors that determine their interaction with local communities, while will focus on the actions they can take on a local network development to enhance their active role in knowledge sharing social well-being.
공학교육에서 교수 으뜸원리를 적용한 플립러닝 모델 및 교수전략에 관한 연구

This study aims to suggest a model and instructional strategies for a flipped classroom using First Principles of Instruction in engineering education...
An Efficient And Privacy Preserving Biometric Identification Scheme In Cloud Computing

Biometric identification has become increasingly popular in recent years. With the developmentof cloud computing, database owners are motivated to outsource the large size of biometric data andidentification tasks to the cloud to get rid of the expensive storage and computation costs, which howeverbrings potential threats to users’ privacy. In this work, we propose an efficient and privacy-preservingbiometric identification outsourcing scheme. Specifically, the biometric data is encrypted and outsourcedto the cloud server. To execute a biometric identification, the database owner encrypts the query data andsubmits it to the cloud. The cloud performs identification operations over the encrypted database and returnsthe result to the database owner. A thorough security analysis indicates the proposed scheme is secure evenif attackers can forge identification requests and collude with the cloud. Compared with previous protocols,experimental results show the proposed scheme achieves a better performance in both preparation andidentification procedures. Biometric identification has become increasingly popular in recent years. With the developmentof cloud computing, database owners are motivated to outsource the large size of biometric data andidentification tasks to the cloud to get rid of the expensive storage and computation costs, which howeverbrings potential threats to users’ privacy. In this work, we propose an efficient and privacy-preservingbiometric identification outsourcing scheme. Specifically, the biometric data is encrypted and outsourcedto the cloud server. To execute a biometric identification, the database owner encrypts the query data andsubmits it to the cloud. The cloud performs identification operations over the encrypted database and returnsthe result to the database owner. A thorough security analysis indicates the proposed scheme is secure evenif attackers can forge identification requests and collude with the cloud. Compared with previous protocols,experimental results show the proposed scheme achieves a better performance in both preparation andidentification procedures. INTRODUCTION What is cloud computing? Cloud computing is the use of computing resources (hardware and software) that are delivered as a service over a network (typically the Internet ). The name comes from the common use of a cloud-shaped symbol as an abstraction for the complex infrastructure it contains in system diagrams. Cloud computing entrusts remote services with a user's data, software and computation. Cloud computing consists of hardware and software resources made available on the Internet as managed third-party services. These services typically provide access to advanced software applications and high-end networks of server computers.
Planning and Implementing a Just-in-Time Collection Development Model in an Academic Library

This presentation discusses about the University of North Texas Libraries' experience in adopting a just-in-time collection development system.
A METHODOLOGICAL PATTERN FOR CREATION OF E-TESTS AND ITS APPLICATION IN TEACHING PHYSICS

Z. Raykova, M. Atanasova, S. Hadzhikoleva, E. HadzhikolevUniversity of Plovidv Paisii Hilendarski (BULGARIA)
Extracting clinical concepts from user queries

Clinical concept extraction often begins with clinical Named Entity Recognition (NER). Often trained on annotated clinical notes, clinical NER models tend to struggle with tagging clinical entities in user queries because of the structural differences between clinical notes and user queries. User queries, unlike clinical notes, are often ungrammatical and incoherent. In many cases, user queries are compounded of multiple clinical entities, without comma or conjunction words separating them. By using as dataset a mixture of annotated clinical notes and synthesized user queries, we adapt a clinical NER model based on the BiLSTM-CRF architecture for tagging clinical entities in user queries. Our contribution are the following: 1) We found that when trained on a mixture of synthesized user queries and clinical notes, the NER model performs better on both user queries and clinical notes. 2) We provide an end-to-end and easy-to-implement framework for clinical concept extraction from user queries.
Pedagogical Issue of Students’ Music Performing Excellence

The article highlights a complex psychological and pedagogical issue of artistic nature: the formation of musical and performing skills of students in the process of their training at elementary specialized artistic institution.Among the problematic range of issues developed by researchers on this question are those that are related to musical-performing training at class of music instrument,namely: features of perception and reproduction of the melody by a student, understanding the specificity of the instrument and understanding the importance of expressive means for the communication of artistic content of the musical composition.The tasks faced by the teacher of music performing class to achieve a certain level of performing skills by a student are following: to raise motivation to increase theperforming level and focus on the expression of the artistic content of the work, to ensure the logical sequence in acquiring the student’s abilities and skills, to form aproper attitude to the musical text and prevent inaccuracies in the performance, to be aware of the necessity of psychological concentration in the process of performing a composition, to activate musical thinking, learning relaxation skills in performance.The author emphasizes on the necessity of purposeful pedagogical control of the formation of musical and performing skills of a student and the orientation of the practice of elementary musical training to the creative self-realization of a student in the musical performance.
IMPROVING THE STUDENTS’ READING SKILL THROUGH SHORT STORY TECHNIQUE

The aims of this research are to solve the English reading problem and to know the effectiveness of using short story in teaching reading. This research is using classroom action research with three cycles. Each cycle consist of four steps; planning, action, observation and reflection. The sample of the research is the seventh grade of Junior High School students. The data are obtained from direct and indirect observation and collaboration. In the direct observation, the data is from field observation and In the indirect one, the data is from the test result. Based on the data collected it is found that some students are active in reading practice through short story technique. Further, the students have more desire and motivation to improve their reading skill. Looking up the evaluation table, the reading from thirty three students in three cycles can be explained; in the first cycle, students get the average score 63.0 or there are thirteen students (39.4%) who achieve the standard of minimum score achievement (65.0). In the second cycle, they get the average score 69.6 or there are twenty eight students (84.8%) who achieved the standard minimum score. While in the third cycle, they get 77.0 on their average sore or all of them (100%) can achieve the standard minimum score. Furthermore, the writer concludes that the use of short story technique approach can be one of the appropriate approach to teach English reading skill for the students
Speeding Up Interval Type 2 Fuzzy Logic Computation Using Fuzzy Bilinear Interpolation Look-Up Table

Interval type 2 fuzzy logic system (IT2FLS) is one of the most straightforward approaches of type 2 fuzzy logic system that is relatively easy to implement. In line with the enhanced capability of the microprocessor, the interval type 2 fuzzy logic system becomes one of the solutions to overcome any problems associated with uncertainty. However, due to computation speed and limited resources, a real-time problem occurs when the IT2FLS is implemented to the low-cost microcontrollers. Based on this problem, it is essential to speed up the computation of IT2FLS. This paper proposes a method named Fuzzy Bilinear Interpolation-Look Up Table algorithm that uses saved information and fuzzy interpolation to obtain the output based on neighboring data to get higher data accuracy. From the simulation results, it was found that Fuzzy Bilinear Interpolation-LUT IT2FLS provides the same performance and computes 14 times faster than IT2FLS.
Image Processing Using Multi-Code GAN Prior

Despite the success of Generative Adversarial Networks (GANs) in image synthesis, applying trained GAN models to real image processing remains challenging. Previous methods typically invert a target image back to the latent space either by back-propagation or by learning an additional encoder. However, the reconstructions from both of the methods are far from ideal. In this work, we propose a novel approach, called mGANprior, to incorporate the well-trained GANs as effective prior to a variety of image processing tasks. In particular, we employ multiple latent codes to generate multiple feature maps at some intermediate layer of the generator, then compose them with adaptive channel importance to recover the input image. Such an over-parameterization of the latent space significantly improves the image reconstruction quality, outperforming existing competitors. The resulting high-fidelity image reconstruction enables the trained GAN models as prior to many real-world applications, such as image colorization, super-resolution, image inpainting, and semantic manipulation. We further analyze the properties of the layer-wise representation learned by GAN models and shed light on what knowledge each layer is capable of representing.
Big Data Security and Access Control Schemes in Clouds

Security framework strategies are executed in the PC through access control system. The essential controls that the entrance control instrument has are classification, trustworthiness, and security. Access control component can be applied through any of the entrance control models. It is a method for shielding data or assets from the unapproved client to give access to approved client. Because of the multifaceted nature and volume, redistributing figure writings to a cloud is regarded to be one of the best methodologies for huge information stockpiling and access. By the by, checking the entrance authenticity of a client and safely refreshing a figure message in the cloud dependent on another entrance approach assigned by the information proprietor are two basic difficulties to make cloud-based huge information stockpiling down to earth and viable. Customary methodologies either totally overlook the issue of access strategy update or representative the update to an outsider position; yet by and by, get to approach update is significant for upgrading security and managing the dynamism brought about by client join and leave exercises. In this paper, we propose a protected and undeniable access control plan dependent on the NTRU cryptosystem for huge information stockpiling in mists. We initially propose another NTRU decoding calculation to beat the unscrambling disappointments of the first NTRU, and after that detail our plan and investigate its rightness, security qualities, and computational effectiveness. Our plan enables the cloud server to effectively refresh the figure content when another entrance approach is indicated by the information proprietor, who is additionally ready to approve the update to counter against bamboozling practices of the cloud.
On the Convergence of Model Free Learning in Mean Field Games

Learning by experience in Multi-Agent Systems (MAS) is a difficult and exciting task, due to the lack of stationarity of the environment, whose dynamics evolves as the population learns. In order to design scalable algorithms for systems with a large population of interacting agents (e.g. swarms), this paper focuses on Mean Field MAS, where the number of agents is asymptotically infinite. Recently, a very active burgeoning field studies the effects of diverse reinforcement learning algorithms for agents with no prior information on a stationary Mean Field Game (MFG) and learn their policy through repeated experience. We adopt a high perspective on this problem and analyze in full generality the convergence of a fictitious iterative scheme using any single agent learning algorithm at each step. We quantify the quality of the computed approximate Nash equilibrium, in terms of the accumulated errors arising at each learning iteration step. Notably, we show for the first time convergence of model free learning algorithms towards non-stationary MFG equilibria, relying only on classical assumptions on the MFG dynamics. We illustrate our theoretical results with a numerical experiment in a continuous action-space environment, where the approximate best response of the iterative fictitious play scheme is computed with a deep RL algorithm.
Guides: Anthropology: Find background information

Study smarter. Research effectively, Your guide to library tools and research skills. Encyclopedias and dictionaries
LibGuides: UBorrow Guide: Winter Break, Holidays and Extended closures

This guide is the beginnings of comprehensive information about UBorrow and the AlephILL client.
Combining Shape and Learning for Medical Image Analysis

Automatic methods with the ability to make accurate, fast and robust assessments of medical images are highly requested in medical research and clinical care. Excellent automatic algorithms are characterized by speed, allowing for scalability, and an accuracy comparable to an expert radiologist. They should produce morphologically and physiologically plausible results while generalizing well to unseen and rare anatomies. Still, there are few, if any, applications where today's automatic methods succeed to meet these requirements.  The focus of this thesis is two tasks essential for enabling automatic medical image assessment, medical image segmentation and medical image registration. Medical image registration, i.e. aligning two separate medical images, is used as an important sub-routine in many image analysis tools as well as in image fusion, disease progress tracking and population statistics. Medical image segmentation, i.e. delineating anatomically or physiologically meaningful boundaries, is used for both diagnostic and visualization purposes in a wide range of applications, e.g. in computer-aided diagnosis and surgery. The thesis comprises five papers addressing medical image registration and/or segmentation for a diverse set of applications and modalities, i.e. pericardium segmentation in cardiac CTA, brain region parcellation in MRI, multi-organ segmentation in CT, heart ventricle segmentation in cardiac ultrasound and tau PET registration. The five papers propose competitive registration and segmentation methods enabled by machine learning techniques, e.g. random decision forests and convolutional neural networks, as well as by shape modelling, e.g. multi-atlas segmentation and conditional random fields.
Pedagogical Conditions of Teacher’s Readiness to Personally-Oriented Musical Education

The article characterizes pedagogical conditions of teacher’s readiness to personally oriented musical education of students of secondary educational institutions. It covers the interpretation of the categories "preparedness" and "condition". Pedagogical conditions, which provide the practical realization of teacher’s preparedness topersonally oriented musical education, are determined as the following: knowledge of methods, techniques and forms of personally oriented musical education. Otherconditions encompass such actions as establishing subject-subject relations between participants of the educational process, expressing teacher’s creativity, organizingpersonally-oriented and facilitative situations at a lesson, creating an atmosphere of emotional recovery (catharsis), implementing of a competent approach in theprofessional activity of the teacher.
Cultural Categories of Courses

The core of socialist ideology in the new era is innovation. Without scientific exploration and theoretical innovation, there will be no essential progress and development of social culture and social practice. For the first time, the new culture curriculum makes the curriculum break away from the embrace of pedagogy and become an independent life science, creating the first curriculum in the history of human development, namely New Classroom Teaching * Curriculum Theory and Technology. Among them, the cultural category of curriculum aims to reveal the basic laws and principles of the development and change of life curriculum and social culture. According to the way and quality level of human brain's reflection and expression of things, culture can be divided into three categories: general culture of universal object, culture of diversity subject, culture of standard tool production. The Curriculum category belongs to the culture of standard tool generation and has social culture. Station and sequence, culture has two kinds of analysis: noun and verb. The three types of culture are spirally promoted in a rolling circle. Production culture and curriculum are the motive force of social and cultural development. General culture and science and technology are the direction of social and cultural development. Differential culture and personality are the goals of social education. Curriculum serves the social system to lead the innovation and inheritance of spiritual products, and helps the education system to guide the reform and promotion of school teaching practice.