Reviewerly/exHarmony huggingface dataset:
Efficient Detection of Phising Hyperlinks using Machine Learning

Phishing is a type of Social Engineering cyber-attack, hackers use it to gain access to confidential credentials like bank account credentials details, details of their personal life like debit card details, social media credentials, etc. Phishing website links seem to seem just like the genuine ones and it's a tedious and troublesome task to differentiate among those websites. In this paper, features are extracted from a separate dataset of phishing and benign website URLs and then using the Machine Learning method we determine the phishing websites. We also rank the features based on the contribution of each feature used in determining the outcome of a URL link using built python libraries. Most of the phishing URLs use a large URL length when used for an attack. Hence, we proposed three machine learning models Random Forest, Support Vector Machine (SVM), Decision trees models for the efficient detection of phishing using fake URLs. The performance of the models is also compared among themselves using a confusion matrix to determine the highest performance. The implemented models have shown an accuracy of 84.81 (for Random Forest and SVM),83.96 (Decision tree)
Testing a Process Model of Causal Reasoning With Inhibitory Causal Links

Author(s): Rehder, Bob; Davis, Zachary J | Abstract: In this paper, we test people’s causal judgments when the graphs have inhibitory causal relations. We find evidence that a particularly important class of errors known as Markov vio- lations extend to these settings. These Markov violations are important because they are incompatible with causal graphical models, a theoretical framework that is often used as a com- putational level account of causal cognition. In contrast, the systematic pattern of errors are in line with the predictions of a recently proposed rational process model that models peo- ple as reasoning about concrete cases (Davis a Rehder, 2020). These findings demonstrate that errors in causal reasoning ex- tend across a range of settings, and do so in line with the pre- dictions of a model that describes the process by which causal judgments are drawn.
A Scrum Agile Method: A Case Study within a Small Enterprise Using Web Application

This paper tackles define the agile methodologies and compare it with some parameters. Here use of the Scrum agile method and implement with case study was used for web application development. The company pre offers scrum for most of its development projects, so one pilot experiment was conducted to develop web application related to IOT the development methodology and finally, data analysis using earned value management. The parameters used for EVM are Team Velocity (TV), Work Capacity (WC), Focus Factor (FF), Target Value Increase (TVI+), Expected Percent Completed (EPC), Actual Percent Completed (EPC),   Planned Value (PV) and Earned Value (EV).
The Use of the Learning Start with Question Model in Writing Information Conclusions on Indonesian Language Education Study Program FKIP UMSU

In the learning process there are many misunderstandings in concluding the information provided. The use of the learning start with question learning model in writing informational conclusions by students is expected to bring changes for the better. So that an effective learning process occurs when using the learning start with question information model both in the field and at the school where the teacher will teach later. The population of this study were students of semester V. From this total population, a sample of 34 students was determined using a randomized class technique, namely the fifth semester of the morning. This research method is an experimental method using a true experimental design that is to determine the experimental and control groups. The instrument for measuring student learning outcomes is a test of the ability to conclude news content in the form of an essay which is tested after the learning is carried out using the learning start with question model in the experimental class and the lecture method in the control class. Looking for hypotheses using t test with dk = N1 + N2 - 2. Ability to conclude news content after treatment using the learning start with question learning model obtained a mean of 70.29 included in category C (enough). The ability to conclude the content of news after treatment using the lecture method obtained a mean of 59.12 included in category D (less). There is an effect of the learning start with question learning model on the ability to conclude the news content. This effect was tested through hypothesis testing with a confidence level of = 0.05, thitug > ttable or 3.415 > 1.668, which means that in this study the hypothesis was accepted, so it can be concluded that there is a significant effect on the use of the Learning Start With Question Model in Writing Information Conclusions. Students of the Indonesian Language Education Study Program, FKIP UMSU.
Las tics como estrategia de inclusión y socialización en la básica primaria de la institución educativa Bosques de Pinares

The purpose of this research is to determine how the use of ICTs (information and communication technologies) in the classroom, fosters spaces for inclusion and acceptance in the educational institution of this municipality, with this I seek to improve emotional conditions and social problems of children who present some intellectual limitation, likewise, it seeks to be able to give a different look to teaching practices with new resources that promote innovation and can more efficiently capture the attention and integration of children. The observation that was made to the focus group shows the great commitment of teachers and parents in ensuring that these students have the same possibilities of a quality education as other children and also to live in harmony with their classmates, taking into account that the right to education applies to everyone in the same way. Each of the aspects highlighted here show the reality that is lived in the classrooms with children with some cognitive limitation and their classmates, who generally tend to reject and that despite the efforts of the teachers it has been impossible to achieve a good acceptance.
APPLICATIONS OF TWO NON-CENTRAL HYPERGEOMETRIC DISTRIBUTIONS OF BIASED SAMPLING STATISTICAL MODELS

Statistical models of biased sampling of two non-central hypergeometric distributions Wallenius' and Fisher's distribution has been extensively used in the literature, however, not many of the logic of hypergeometric distribution have been investigated by different techniques. This research work examined the procedure of the two non-central hypergeometric distributions and investigates the statistical properties which includes the mean and variance that were obtained. The parameters of the distribution were estimated using the direct inversion method of hyper simulation of biased urn model in the environment of R statistical software, with varying odd ratios (w) and group sizes (mi). It was discovered that the two non - central hypergeometric are approximately equal in mean, variance and coefficient of variation and differ as odds ratios (w) becomes higher and differ from the central hypergeometric distribution with ω = 1. Furthermore, in univariate situation we observed that Fisher distribution at (ω = 0.2, 0.5, 0.7, 0.9) is more consistent than Wallenius distribution, although central hypergeometric is more consistent than any of them. Also, in multinomial situation, it was observed that Fisher distribution is more consistent at (ω = 0.2, 0.5), Wallenius distribution at (ω = 0.7, 0.9) and central hypergeometric at (ω = 0.2)&#x0D; &#x0D;
PSYCHOLINGUISTIC FACTORS IN SECOND LANGUAGE PROFICIENCY OF THE 21ST CENTURY LEARNERS IN THE NEW NORMAL PEDAGOGY

This study determine the influence of psycholinguistic factors in second language (L2) proficiency of the 21st century learners in the new normal pedagogy. Respondents were composed of two hundred forty (240) Grade 12 students from the academic strands of Talavera Senior High School (TSHS) who accomplished the e-survey using Google Form from the adapted tool of Hsuan-Yau Tony Lai (2013) and transparent.com for the EPT. Descriptive and inferential statistics were used in analysis and interpretation of data. Significant findings shows that the respondents’ level of second language (L2) proficiency was intermediate and psycholinguistic factors (motivation, anxiety, attitude, and language learning experience) were influential in L2 proficiency of the respondents. Furthermore, significant correlations were recorded between the L2 proficiency level and their strand as well as their parents’ highest educational attainment; and the psycholinguistic factors and the respondents strand. However, no significant correlations were recorded between the respondents’ L2 proficiency level, psycholinguistic factors, and their age, language used at home, and the reading materials available at their homes. Further in-depth studies or similar endeavor were highly encourage with regards to the findings of this paper.
The Electronic Resources Troubleshooting Guide

"The Electronic Resources Troubleshooting Guide." Journal of Hospital Librarianship, 21(3), pp. 302–303
INFLUENCE OF READING PATTERN AND OBTAINED EDUCATION LEVEL OF PARENTS ON STUDENTS' READING COMPREHENSION SKILLS

The purpose of our study is to investigate the influence of reading pattern and obtained education level of parents on students’ reading comprehension skills and to answer the research question about the relationship between parents’ education level and students’ reading comprehension achievement.The survey was conducted among seventh-grade students living in Hungarian minority situation in Slovakia and attending minority schools. The survey of students’ reading comprehension level was conducted on a total of 313 seventh-grade respondents attending primary schools with Hungarian as the language of instruction in Slovakia. The research method was a self-administered sociological questionnaire and a reading comprehension test developed for the respective age group. Data analysis was carried out using statistical methods.The results of the research show that there is a significant relationship between the educational level of parents and the reading comprehension performance of students. Parents’ education has a positive effect on students’ achievement. Students whose parents had tertiary education scored significantly higher on the reading comprehension test. We also examined the effect of whether parents’ education correlates with students’ reading frequency. The data obtained show that parents’ education correlates with students’ reading frequency and that both parents’ education and reading frequency lead to higher reading frequency among students.The findings of the study indicate the influence of parental education pattern on students’ reading frequency and reading comprehension. This is because there is also a correlation between the level of reading comprehension and reading frequency. The research findings also draw attention to the fact that if a student does not receive adequate reading pattern at home, it can have a negative impact on reading achievement. The school is currently unable to adequately compensate for this shortfall.
Artificial Intelligence Based Education

Abstract Artificial intelligence (AI) is a part of software engineering which includes building brilliant machines equipped for performing assignments that ordinarily require human knowledge. Computer-based intelligence is an interdisciplinary science with numerous methodologies, yet headways in AI and profound learning are making a change in perspective in for all intents and purposes each area of the tech business. Computer based intelligence has different applications, for example, mechanical technology, progressed counts which require precisions, and so forth All the more as of late the headways in AI have opened a pathway which will permit AI based applications with the end goal of training which will be investigated in this examination paper.
Experimental Data Transfer System BENTEN at SPring-8

Recently, there are strong demands on open data to promote data science like material informatics. At SPring-8, we have been operated data transfer system for open data of XAFS measurements since 2013* with the second in the world for amount data**. However, it was difficult to satisfy demands such as generic uses in experimental stations and data federation with other facilities. To overcome these, we newly developed data transfer system BENTEN. BENTEN provides easy-to-use and unified interface with REST API for data access from both inside and outside SPring-8. At SPring-8, proposal number is assigned for each experiment and members in the proposal are defined in DB. BENTEN can also realize restricted data access with the members using authentication and the DB. Data registration was performed with metadata such as experimental conditions and samples. Various metadata in the experiments can be easily defined. To achieve flexible data access with full-text search, we used Elasticsearch as metadata store. We began operation of BENTEN and open access of XAFS data since March this year. We plan to utilize BENTEN to promote open data and data science also with other experimental data.
Educational Projection Systems, Levels And Prerequisites Of Mathematical Ontology OntoMathEdu

The developed educational projections, levels and prerequisites of the mathematical educational multilingual ontology OntoMathEdu are presented. Educational projection is viewed as the formalization of a certain system of subject training in mathematics. It is a subset of OntoMathEdu ontology concepts, which are structured at this stage of ontology development using two didactic relationships – educational level and prerequisites.&#x0D; Educational levels are allocated on the basis of the teaching standards of the corresponding education system, the relation of prerequisites is determined by the sequence of the studied concepts in a particular education system.&#x0D; The OntoMathEdu ontology defines two projections representing the educational systems of Russia and Great Britain. The algorithm for constructing an ontology through linking various projections allows it to be further replenished with new educational projections, which can later be used in the system of multilingual teaching of mathematics.
Соционика — профессия и наука: развитие и преемственность

Voronezh Scientific and Practical Society of Socionics together with the Ortho-Form Center for the Physiology of Activity (Voronezh, Russia), with the patronage of the International Institute of Socionics (Kiev, Ukraine) has been developing ortho-socionics since 2013: the neuro-physiological and psycho-informational directions in socionics on the principles of maintaining the continuity of a professional and scientific school from the founders of socionics in the context of the development of science, technology and social institutions. We use both original neuro- and psycho-physiological methods, the Yu.A. Krivo’s orthological method, defined by the specifics of application in the field of psychosomatic and physical health, orthopedics, medicine, as well as technologies traditional for socionics and psychology, and the aspect-dichotomy method by A.V.Bukalov & O.B.Karpenko for personnel and family counseling, management, marketing, pedagogy. Socionics is taught modern and accessibility-improving technologies with the direct participation of the International Institute of Socionics with certification of a bachelor or master of socionics by the International Academic Council on Socionics. More than 60 meetings of the Society are held, by April 2020, 5 scientific and practical conferences have been organized, we have taken part in reports at 8 conferences, social media activities have been organized, and live broadcasts are being conducted. Thus, the conditions are created for the involvement of socionics specialists in social professional activity.
Evaluation of the Hash Value Size Effect used in Fragile Watermarking Methods on the Salt and Pepper Noise Adding Attack Detection

Fragile watermarking metbods are one of tbe widely used metbods to solve problems sueb as forgery detection, autbentication and image integrity protection on digital images. In recent years, basb fonetions baYebeen used in fragile watermarking metbods to generate watermark to be embedded In images. However, tbe bash value sizes used In tbe metbods are varied. In tbis study, a new basb function based fragile watermarking metbod Is proposed, and tbe elfect of tbe bash sizes against tbe salt and pepper noise adding attacks is observed.
RE-THINKING DIGITAL SKILL DEVELOPMENT POST COVID19 – VIEWS FROM THE WORKPLACE

Appears in: EDULEARN21 Proceedings Publication year: 2021Page: 3605 (abstract only)ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.0759Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
Qualitative Mineral Potential Map of Tungsten Skarn in the Yukon-Tanana Uplands, Eastern Alaska, USA, 2021

This data release supports the paper titled, “Tungsten skarn potential of the Yukon-Tanana Uplands, Eastern Alaska, USA-A mineral resource assessment”, published via open-access license in the Journal of Geochemical Exploration and available at: https://doi.org/10.1016/j.gexplo.2020.106700. The data release includes GIS data that map potential for tungsten skarn mineralization in permissive tracts in the Yukon-Tanana Uplands, Eastern Alaska, along with tables listing keywords and procedures used to produce the permissive tracts and score them for mineral potential. Supplementary Data part A lists keywords used to extract permissive rock types from the Geologic Map of Alaska (Wilson et al., 2015) to generate the permissive tract for tungsten skarn. Supplementary Data part B describes the tract polishing procedures. Supplementary Data part C lists the parameters for scoring tungsten skarn mineralization potential within the permissive tract features. The GIS data are encapsulated in a file geodatabase called AK_Wskarn_tract.gdb and are also available in the shapefile and KML formats. The geodatabase contains three datasets. The polygon feature class “primary_attributes” contains the scored tungsten skarn permissive tract subdivided by National Hydrography Dataset HUC12 drainages. A related table, “qualitative_assessment” contains detailed scoring information for each feature. The point feature class “mineral_sites_ranked” contains W-bearing mineral sites pulled from the Alaska Resource Data File with additional fields added for this study. The GIS data folder also includes the Python script used to score potential. The datasets and methods are described in detail in the accompanying paper.
Energy Efficient and SLA Violation Reduction by Proposed Restructured VM Placement Strategies in Cloud Data Centers

The maintenance of energy efficiency of data centers can be a significant path to enhance the investment of cloud providers with assurance to meet various prerequisites of consumers for delivered services. This enhances the requirement for efficient energy and agreed SLA which ensure the delivery of Quality of Services and optimization of resource usage. In order to resolve this issue virtualization is used enables by Infrastructure as a service (IaaS). The consolidation of VMs incorporates the problem of choosing suitable algorithm for VMs placement to proper host and VMs selection for migration. The migrations of virtual machines are needed from an overutilized and underutilized host to fulfill the requirements and saving the consumption of power by shutting down the host respectively. In this work, we have introduced a clustering technique and proposed multiple restructured virtual machine placement algorithms to improve energy efficiency and reduce violations of Service Level Agreement (SLA) in cloud data centers. We evaluated and compared these algorithms from popular solution of Bin packing problems and showed that our proposed algorithm provides better results against default solution of Bin packing problems. This research work has implemented using CloudSim simulation toolkit.
Padlet as an alternative synchronous whiteboard

Pandemic era is considered to be an obstacle to achieve and to reach particular competencies. This emerges as a result of the face-to-face mode being migrated to online learning. This study aims to describe the impact of using Padlet as an alternative to virtual synchronous whiteboards which allows teachers to carry out continuous professional development with minimal constraints. This study uses a qualitative descriptive method, which presents the results of research with a qualitative umbrella which is described in a descriptive narration. This study involved 12 teachers from 6 different schools in Cianjur Regency, West Java. The results of this study indicated that Padlet as a virtual whiteboard could: a) visualize ideas into oral, written, or pictorial forms, b) facilitate collaborative activities that encourage users to build social-educational responsibilities, and c) faciltate learning even the teachers are not at the same place. In short, it can be concluded that the use of Padlet allows professional competence to occur in virtual synchronous.
Statistical Relational Artificial Intelligence with Relative Frequencies

Dependencies on the relative frequency of a state in the domain are common when modelling probabilistic dependencies on relational data. For instance, the likelihood of a school closure during an epidemic might depend on the proportion of infected pupils exceeding a threshold.Continuous dependencies are also common: for instance; the likelihood of any one mosquito bite transmitting an illness depends on the proportion of carrier mosquitoes. Current approaches usually only consider probabilities over possible worlds rather than over domain elements themselves. We introduce two formalisms that explicitly incorporate relative frequencies into statistical relational artificial intelligence. The first formalism, Lifted Bayesian Networks for Conditional Probability Logic, expresses discrete dependencies on probabilistic data. The second formalism, Functional Lifted Bayesian Networks, expresses continuous dependencies. Incorporating relative frequencies is not only beneficial to modelling; it also provides a more rigorous approach to learning problems where training and test or application domains have different sizes. To this end, we provide a representation of the asymptotic probability distributions induced by the two formalisms on domains of increasing sizes. Since that representation has well-understood scaling behaviour across domain sizes, it can be used to estimate parameters for a large domain consistently from randomly sampled subpopulations.