Reviewerly/exHarmony huggingface dataset:
REFERENTIAL OF PROFESSIONAL COMPETENCIES AT THE TEACHING STAFF

For teachers, to fulfill their high quality, performing, and efficient duty, they must create a vast range of qualities, competencies, used to define them as a specialist, scientist, person of culture, educator, citizen and manager. The teacher meets a somewhat important occupation, to be part of their students or pupils influence when it comes to forming their personality and to prepare them for their future socio-professional, moral and citizen activities. The competencies of the didactic staff represent an ensemble of cognitive, affective, motivational and managerial capacities that interact with their personal traits. These didactic and professional competences are formed throughout the time and are but a combination of everyone’s very knowledge, abilities and adequate attitudes. The efficiency of the didactic staff is made up by, firstly, the results of the students’ or pupils’ instructiveeducational processes, and secondly, the competences that define them and are recommended to them, as specialist, with the aim of raising students’ or pupils’ personalities. These competences, once gained, will face changes and may be enhanced throughout career.
Protocols for Checking Compromised Credentials

To prevent credential stuffing attacks, industry best practice now proactively checks if user credentials are present in known data breaches. Recently, some web services, such as HaveIBeenPwned (HIBP) and Google Password Checkup (GPC), have started providing APIs to check for breached passwords. We refer to such services as compromised credential checking (C3) services. We give the first formal description of C3 services, detailing different settings and operational requirements, and we give relevant threat models. One key security requirement is the secrecy of a user's passwords that are being checked. Current widely deployed C3 services have the user share a small prefix of a hash computed over the user's password. We provide a framework for empirically analyzing the leakage of such protocols, showing that in some contexts knowing the hash prefixes leads to a 12x increase in the efficacy of remote guessing attacks. We propose two new protocols that provide stronger protection for users' passwords, implement them, and show experimentally that they remain practical to deploy.
Nativos Digitales: Aportes para problematizar el concepto / Digital Natives: Contributions to problematize the concept.

Resumen Uno de los conceptos que mas dio que hablar en el ambito educativo a principios de siglo fue el de Nativos Digitales, cuyo autor paradojicamente, no venia del ambito de la pedagogia. En 2001, Marc Prensky realizo un documento que fue muy difundido -lejos esta de ser una produccion cientifica pedagogica, pero su exito editorial llevo a instalar con fuerza el binomio nativo e inmigrante digital-. Nuestra tarea sera entonces recomenzar el camino para ordenar nuestro marco conceptual y definir lo que entendemos por nativo digital, y especificamente, por saberes. Digital Natives: Contributions to problematize the concept. Abstract One of the most discussed terms that became popular in Education at the beginning of the century was 'Digital Natives' , whose author, paradoxically, hasn't come from the field of Pedagogy . In 2001, Marc Prensky wrote a document, that was widely disseminated, though far from being a scientific pedagogical production, his editorial success led him to popularize the binomial 'Digital Natives or Inmigrants' . Consequently, our task will be to restart the path so as to order our conceptual framework and define what we understand by Digital Natives and, more specifically, by knowledge.
Alarming Rate of “Yahoo Plus” and Human Insecurity Dilemma in Nigeria: Implication for Counselling

The daily surge of cyber fraudsters popularly known as yahoo-boys which has often resulted in the loss of lives of their victims has become a new wave making round in Nigeria today.This study, therefore, seeks to unravel the nexus between the alarming rate of cyber fraudsters (yahoo-boys) and Human Insecurity Dilemma, with its corresponding implication(s) for safety and security counselling.Thirty (30) repentant yahoo boys were interviewed from the 3 states out of the 6 Geo-political zones in the country.The study employed the descriptive survey design approach.The instrument used for data collection was a structured interview with a reliability coefficient of 0.87 while the data collected were analysed using the non parametric test known as Kruskal Wallis Statistical Technique.The result revealed that some of the yahoo boys use human parts, sanitary pad, women undies and gifts, either to their parents or to their loved friends, which will serve as a contact point for money making rituals.Based on these findings, the researchers drew a caveat on the implication of taking counselling for safety and security seriously in all the states in the country, and among other things, recommends a serious awareness campaigns in all parts of the country on the negative implication(s) of the yahoo-boys activities.
Evaluation of pilot jobs for Apache Spark applications on HPC clusters.

Big Data has become prominent throughout many scientific fields and, as a result, scientific communities have sought out Big Data frameworks to accelerate the processing of their increasingly data-intensive pipelines. However, while scientific communities typically rely on High-Performance Computing (HPC) clusters for the parallelization of their pipelines, many popular Big Data frameworks such as Hadoop and Apache Spark were primarily designed to be executed on dedicated commodity infrastructures. This paper evaluates the benefits of pilot jobs over traditional batch submission for Apache Spark on HPC clusters. Surprisingly, our results show that the speed-up provided by pilot jobs over batch scheduling is moderate to inexistent (0.98 on average) despite the presence of long queuing times. In addition, pilot jobs provide an extra layer of scheduling that complexifies debugging and deployment. We conclude that traditional batch scheduling should remain the default strategy to deploy Apache Spark applications on HPC clusters.
A Study on Teachers' Teaching Skills-Oriented Training of Professional Qualities for Teachers' College Students

This paper makes a concrete analysis of the teachers' professional qualities in the Outline of Vocational Skills Training for Teachers in Normal Universities (for trial implementation). Guided by the training of teachers' teaching skills, it discusses the problems faced by teachers' colleges in the process of training teachers' teaching skills at the present stage, and probes into the corresponding countermeasures accordingly.
Automatic Inference of Minimalist Grammars using an SMT-Solver

We introduce (1) a novel parser for Minimalist Grammars (MG), encoded as a system of first-order logic formulae that may be evaluated using an SMT-solver, and (2) a novel procedure for inferring Minimalist Grammars using this parser. The input to this procedure is a sequence of sentences that have been annotated with syntactic relations such as semantic role labels (connecting arguments to predicates) and subject-verb agreement. The output of this procedure is a set of minimalist grammars, each of which is able to parse the sentences in the input sequence such that the parse for a sentence has the same syntactic relations as those specified in the annotation for that sentence. We applied this procedure to a set of sentences annotated with syntactic relations and evaluated the inferred grammars using cost functions inspired by the Minimum Description Length principle and the Subset principle. Inferred grammars that were optimal with respect to certain combinations of these cost functions were found to align with contemporary theories of syntax.
Human-Usable Password Schemas: Beyond Information-Theoretic Security

Password users frequently employ passwords that are too simple, or they just reuse passwords for multiple websites. A common complaint is that utilizing secure passwords is too difficult. One possible solution to this problem is to use a password schema. Password schemas are deterministic functions which map challenges (typically the website name) to responses (passwords). Previous work has been done on developing and analyzing publishable schemas, but these analyses have been information-theoretic, not complexity-theoretic; they consider an adversary with infinite computing power. We perform an analysis with respect to adversaries having currently achievable computing capabilities, assessing the realistic practical security of such schemas. We prove for several specific schemas that a computer is no worse off than an infinite adversary and that it can successfully extract all information from leaked challenges and their respective responses, known as challenge-response pairs. We also show that any schema that hopes to be secure against adversaries with bounded computation should obscure information in a very specific way, by introducing many possible constraints with each challenge-response pair. These surprising results put the analyses of password schemas on a more solid and practical footing.
Recent Postdigital Transformations of Undergraduate Learning Processes in the Study of Multidisciplinary Materials Science

The present educational paper is focused on the creative rethinking and improvement of undergraduate curriculum in multidisciplinary materials science and engineering through the authors-proposed formulation of a new pedagogical hypothesis concerning the functioning modes of a two-tiered mathematical model of student memory. The didactic novelty of this original article is supported by the development and student-friendly interpretation of an original phenomenological model for an applied mathematical description of a typical geometric shape of student memorisation curve and a simplified estimation of student learning dynamics based on the concepts of learning-forgetting theory. The physical meaning of the authors-proposed memory hypothesis and phenomenological learning model is shown through the introduction of an electrical scheme which illustrates the idea of a novel phenomenological model of student memory. The author-proposed original didactic approach substantially broadens and extends student ideas concerning practical possibilities of applied mathematical modelling of educational problems of learning and instruction.
The Difference of Mathematics Learning Achievement between Ipad For Learning Multimedia Learning and Conventional Learning Media in Junior High School Students

Abstract. This research includes gender as moderator as well as the intelligence and motivation of learning as the covariance of learning achievement. This research design is causal-comparative by comparing mathematics learning achievement between learning with iPad and conventional media. The overall research’s subjects are 128 students. The result shows that there are differences in learning achievement between multimedia learning iPad for Learning and conventional learning media (F=48,698, p&lt;0,05). Students who use iPad media have an average mathematics learning achievement higher than a student in conventional learning media. In this research, the interaction between genders and learning media on mathematics learning achievement proved to be low (F=0,318, p&gt;0,05). Keywords: iPad for Learning; digital learning; mathematics academic achievement
The criminal result in informatics crimes

The need for a society is created in the existence of a certain protection from the nature of the stage in which it lives. Consequently، the penal provisions are embodied in order to protect the interests which the legislator considers worthy of protection. It is well known that the vast technological development in the field of information and its widespread use have entailed the existence of criminal legislation that dictates the optimal use of this technology to serve society and all mankind. As long as the crime is a social phenomenon in society، the criminal phenomena have taken on a technological nature، The hidden that is true، which requires highlighting it to be organized tightly by the legislator، whether legislation or special law or the addition of special texts within the penal laws.
Implementation of Gifted Children Education Services from the Middle School to Higher Education

Gifted children need special services at school and college, especially in developments that include cognitive, physical, language, emotional, social and academic aspects. Currently there are educational services that can facilitate them in the form of SKS (Semester Credit System) programs. One of the schools that organizes SKS is SMAN 3 Bandung. The purpose of SKS learning is to provide the flexibility for students to learn and grow according to their abilities, talents and interests, in addition to fulfilling the applicable policies. In general, the implementation of SKS is divided into three main stages, including 1) preparation, 2) implementation, and 3) monitoring and evaluation. For fast learners, enrichment program services are provided so that they can complete the entire learning program faster than the quota in high school which is six semesters. This is very useful for students who have the giftedness so that they can complete in just 4 (four) semesters, but the report books they receive remain 6 (six) semesters. As a follow-up at the University there is a fast track program at Bandung Institute of Technology where Undergraduate students who are at their final semester can attend Master program. The main objective of this program is to accelerate students in completing studies. Fast track students are those who can complete their bachelor and master degree in 5 years. This SKS and Fast Track program is one of the services that can be used for gifted children because it is very effective and efficient in completing their education faster.
الاستخدامات المهنية لشبكة لينكدإن في التعليم العالي والبحث العلمي:, منظور تحليلي

Recently, The Use Of Social Networks Has Greatly Expanded Thanks To Its Large Number Of Services Targeting All Professionals Worldwide. This Research Attempts To Analyze The Most Important Ways To Use Social Networks By University Teachers And Researchers. By Focusing On The Linkedin Network, And Recalling Its Benefits, The Best Ways To Use It In Scientific Research As Well Communities Of Practice Related To Scientific Research And Higher Education, As Seen Through This Network. Key Words: Social Networking, Linkedin, Professional Use, Scientific Research, Communities Of Practice
A Driver Assistant System Using Behavior Patterns and Fuzzy Logic to Enhance Safety

In this article, the purpose of using learning algorithms is to create an advanced system of the driver's assistant in order to provide the driver with the driving safety by considering general and personal driving features.We used the decision tree algorithm to represent such a system. At as the first step, appropriate data are collected. The aim is to select the factors influencing the design of the warning system. In the next step, we prepared the data. Then outlier data is differentiated using categorical algorithms. In the next step, input data is prepared using a fuzzy device. The system is a Mamdani fuzzy system. In the last step, we determined the root, branch, and leaves of the decision tree model using the entropy method. In this paper, the rules are extracted from 5 attributes along with a target variable which has four modes. The rules of the fuzzy system are implemented on a local database and the results are provided. Finally, the results of the designed model are compared with the results of the previous.
Publishing with Open Journal Systems(OJS): Sensitization Workshop for Liaison Librarians

A presentation to the Liason Librarians at the Kenyatta University Post Modern Library on 30th April 2019
Hindu methods for finding factors or divisors of a number

Factoring or finding divisors of a number does not appear as a subject of treatment in any early work on Hindu arithmetic. There are, however, reasons to believe that the ordinary method of factoring a number by successive division by 2, 3, 5, etc. was well known but being much too elementary was not considered suitable for inclusion in an arithmetical work. Even in Mahāvīrācārya’s (850 ad) voluminous Gaṇitasārasaṅgraha where we have explicit references to factorisation no rule has been stated for the purpose. Śrīpati (1039 ad) is probably the first Hindu writer who has formally dealt with the subject of factoring a number in his Siddhāntaśekhara. Besides stating the ordinary method based on successive division, he gives an additional method for factoring a non-square number by expressing it as a difference of two squares.
Security issues in cloud computing

Cloud computing is a paradigm shift which involves very important role in the academic, industry and business. It provides on demand use of third party infrastructure as per requirement on payment basis. It offers scalable and virtualized resources, software and hardware on demand to consumers. The protection of outsource data in cloud during the transmission and at rest is very challengeable. This paper discusses various security issues/challenges involved in the transmission and  storage of data in the cloud computing
Efektivitas Terapi Kognitif Perilakuan untuk Meningkatkan Efikasi Diri Abstinen NAPZA

Abstract. The research aimed to determine the effectiveness of Cognitive-Behavior Therapy to increase self efficacy towards multiple drug addicts. The One-Group Pretest-Posttest Design was used in the research. The participants were 6 people who were the resident of Drug Rehabilitation Center “K” located in Sleman, Special Region of Yogyakarta. Pretest and posttest measure by Drug Avoidance Self-Efficacy Scale. Data were analyzed by non-parametric statistics, used Wilcoxon analysis. The results showed significance of 0.0135. Acording to the results, there was an indication that Cognitive-Behavior Therapy’s module was able to increase self efficacy among drug addicts. Keywords: cognitive-behavior therapy; multiple drugs; self efficacy
The HyperBagGraph DataEdron: An Enriched Browsing Experience of Multimedia Datasets

Traditional verbatim browsers give back information in a linear way according to a ranking performed by a search engine that may not be optimal for the surfer. The latter may need to assess the pertinence of the information retrieved, particularly when s$\cdot$he wants to explore other facets of a multi-facetted information space. For instance, in a multimedia dataset different facets such as keywords, authors, publication category, organisations and figures can be of interest. The facet simultaneous visualisation can help to gain insights on the information retrieved and call for further searches. Facets are co-occurence networks, modeled by HyperBag-Graphs -- families of multisets -- and are in fact linked not only to the publication itself, but to any chosen reference. These references allow to navigate inside the dataset and perform visual queries. We explore here the case of scientific publications based on Arxiv searches.
Reflections on the Case Teaching of Postgraduate Course Based on Cultivating Innovative Ability

Incorporating the essence and feature of case teaching, this research focuses on the education goal of postgraduatesâ€™ innovation ability and argues that postgraduatesâ€™ case teaching is good for fostering their problem awareness, improving their logical thinking ability and fostering healthy academic atmosphere. Given the problems of case teaching for postgraduates in our university, such as the lack of case teaching culture, teachersâ€™ limited grasp of education methods, studentsâ€™ insufficient participation and the slow development of case libraries, this research proposes detailed measures including attaching great importance to case teaching in postgraduate courses, organizing the study of the inherent laws and teaching techniques of case teaching, promoting the construction of typical case libraries in various disciplines, constructing the soft scientific environment, and cultivating postgraduatesâ€™ academic quality.
Unsupervised pre-training helps to conserve views from input distribution

We investigate the effects of the unsupervised pre-training method under the perspective of information theory. If the input distribution displays multiple views of the supervision, then unsupervised pre-training allows to learn hierarchical representation which communicates these views across layers, while disentangling the supervision. Disentanglement of supervision leads learned features to be independent conditionally to the label. In case of binary features, we show that conditional independence allows to extract label's information with a linear model and therefore helps to solve under-fitting. We suppose that representations displaying multiple views help to solve over-fitting because each view provides information that helps to reduce model's variance. We propose a practical method to measure both disentanglement of supervision and quantity of views within a binary representation. We show that unsupervised pre-training helps to conserve views from input distribution, whereas representations learned using supervised models disregard most of them.
Online Comment Text Analysis with Improved Feature Weight

In the product reviews of online shopping platforms, the star rating and text comments given by the same user often appear. These data are processed by the unreasonable scoring system to give the merchants a false rating and mislead consumers. In order to improve the scoring system, an improved feature weighting method combining text review content and star rating is proposed. Firstly, the weighting rules were defined. Secondly, according to the part-of-speech evaluation function in the short text, the feature word selection was combined with the star rating and the text comment content. The CBOW model was used to train the word vector. Finally, the text classification method SVM was used to obtain the final result. This model was applied to two text datasets and compared with the traditional TF-IDF feature selection. The results show that the algorithm can effectively improve the accuracy and F1 value of text classification.
Exploring Azure Cosmos DB and Its Change Feed Mechanism

Twenty-first century software innovations and digital transformations not only changed traditional ways of operating businesses but also created new opportunities in different industries. As organizations started to adapt to different automation methodologies, the software industry began to experience unprecedented data growth. The cloud infrastructure, along with business intelligence tools, helped businesses securely store large volumes of data and process this data at high speeds with greater accuracy.
Generative Model with Dynamic Linear Flow

Flow-based generative models are a family of exact log-likelihood models with tractable sampling and latent-variable inference, hence conceptually attractive for modeling complex distributions. However, flow-based models are limited by density estimation performance issues as compared to state-of-the-art autoregressive models. Autoregressive models, which also belong to the family of likelihood-based methods, however suffer from limited parallelizability. In this paper, we propose Dynamic Linear Flow (DLF), a new family of invertible transformations with partially autoregressive structure. Our method benefits from the efficient computation of flow-based methods and high density estimation performance of autoregressive methods. We demonstrate that the proposed DLF yields state-of-theart performance on ImageNet 32x32 and 64x64 out of all flow-based methods, and is competitive with the best autoregressive model. Additionally, our model converges 10 times faster than Glow (Kingma and Dhariwal, 2018). The code is available at https://github.com/naturomics/DLF.