Reviewerly/exHarmony huggingface dataset:
Identification of phishing websites using ML techniques

Phishing is a not abnormal assault on unsuspecting individuals by methods for causing them to unveil their one of kind insights the utilization of fake sites.The objective of phishing web webpage URLs is to purloin individual records like client names, passwords, and internet banking exchanges.Phishers utilize the sites which can be outwardly and semantically simply like those genuine sites.As innovation keeps up to develop, phishing procedures started to advance hurriedly and this desires to be maintained a strategic distance from by method of utilizing hostile to phishing systems to recognize phishing.Machine considering is an integral asset used to have a go at phishing assaults.These paper overviews the capacities utilized for recognition and location methods for the utilization of AI.
A Comparative Study on the Performance of Variants of Message Digests and Shared Hash Algorithms

Today world is changing more rapidly. New technologies are getting developed every day. Digitization of every field from waking up to getting back to bed we are all surrounded by internet all over. Starting from identifying our identity to making payments or it can be said that even texting over social apps generates lots of data. In such scenario preserving our data is the priority of every individual. So, organizations providing digital services need to know the algorithms that are in the best practices to make consumes data secure. The security algorithms allow two clients to have a secure transmission of data from one end to another end. In this research paper there is a brief comparison of the Hashing algorithms namely the variants of SHA and MD5 that would make it easy for the developers to identify which algorithm is used when.
Khris Middleton lifts Bucks past Heat in OT in Game 1

Khris Middleton broke a tie with 0.5 seconds left in overtime and had 27 points to help the Bucks beat the Heat 109-107 Saturday in Game 1.
A retrospective of the work of Patience Cowie: the interaction of faults in space and time and their influences on subsurface fluid flow, surface processes and earthquakes

&amp;lt;p&amp;gt;Patience Cowie was a truly outstanding scientist whose research spanned several disciplines of structural geology and tectonics. She made a lasting contribution to every discipline she published in and as well as academic advances, produced significant impacts in the hydrocarbon industry and earthquake hazard assessment. Her research in fault mechanics and fault population was a genuine game-changer. The implications of her work for predicting fault patterns and linkage have been crucial for the interpretation of 3D seismic data, and for examining the interplay between faults and the basins they bound and sediments they host. More recently she explored relationships between fault geometry, slip rate and recurrence intervals along seismically active faults, with important implications for earthquake hazard assessment.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Patience&amp;amp;#8217;s drive to constrain physical explanations of the underlying dynamics of Earth processes meant her numerical modelling was always firmly grounded in field observations. Her models incorporated the effects of stress in time and space as fault system evolved, but always underpinned by geometric and kinematic observations in the field. She loved fieldwork and her joy at the beauty of geological structures was infectious and inspiring. &amp;amp;#160;&amp;lt;/p&amp;gt;
Self-assessment of Media Competency of Students Of Teaching Studies and the Teacher Module of The Faculty of Humanities and Social Sciences In Rijeka

The paper presents the results of a quantitative research aimed at measuring the self-assessment levels of media competence of student teachers at the teacher module of the Faculty of Humanities and Social sciences in Rijeka. The research was conducted while using a uantitative methodology. The instrument was designed as a quantitative questionnaire that measured the self-assessment of students’ media competence dimensions. The claims are divided into three groups according to the dimensions of media competence, namely: the use of media, media didactics, and the critical analysis of media content. Data obtained through the self-assessment questionnaire were coded and statistically processed using IBM SPSS.The results of the research have shown that the students evaluate their levels of media handling and media didactics slightly higher in comparison to the level of critical analysis of the media content. It is necessary to introduce subjects which will provide students with media competency in order to educate and raise the children who grow up surrounded with media technology. This research can serve as an assessment of the current stateof the students’ self- evaluation to consider the needs for enhancing the students’ media competencies.
Applying Wordflow Technique to Increase Cadets’ English Vocabulary

This research aimed to know Wordflow technique can increase cadets’ vocabulary and the obstacles in applying Wordflow technique in memorizing English vocabulary. The research was conducted at Malahayati Merchant Marine Polytechnic in Aceh Besar. The participants of the research were 30 cadets nautical Alpha Diploma III. The research addressed tests, questionnaire and observation to collect the data. The result of this research showed that Wordflow Technique increased cadets’ in memorizing English vocabulary. It was proved by the data from pretest and posttest score; it was shown that the cadets mean score from pre-test was 65 and was significant increased to post-test was 70,5. In addition, the obstacles when applying Wordflow technique were lack of fair group, time, noisy. To sum up, the cadets were enjoyed, interested and motivated the cadets to memorize vocabulary using Wordflow.
Big data and copyright law

This chapter examines big data research methods as applied to copyright law. The formality free principle makes it difficult to maintain an authoritative database of copyright works, and complicates research into such works. Notwithstanding recent developments in the United States, traditional collective management organizations still face difficulties in identifying and licensing rightholders’ works. While new copyright management systems based around the automated detection of infringement provide rightholders with more monetisation options, these systems are opaque to research as they operate at the prerogative of the platform service providers. These limitations may however be overcome with careful application of big data research methods; some case studies involving previous researches using such methods follow. This chapter concludes with a review of research into defenses and fair use considerations in the online environment, and the impact of copyright filter systems proposed under the European Union's Directive on Copyright in the Digital Single Market.
Reflection of green marketing in perceived customer value: An applied study at Al-Zahrawi Surgical Hospital

The research aims to test the impact of green marketing in its dimensions (green product, green pricing, green distribution, green promotion) on the perceived value of the customer in its dimensions (functional, emotional, and social), in Al-Zahrawi Surgical Hospital in the State of Iraq. The research problem was represented by the question that states: The effect of green marketing activities on the perceived value of the customer in Al-Zahrawi Surgical Hospital. “The research relied on two main hypotheses with the correlation test and one for the simple linear regression test to explore and treat the research problem. As for the research sample, it was represented by (220) individuals from doctors, nurses, and administrators from the researched hospital’s staff. The questionnaire was used as a main tool for collecting data prepared by the researcher based on ready-made measures, and the researcher adopted a set of statistical methods, including (the arithmetic mean, standard deviation, coefficient of variation,), and the data were analyzed through the use of statistical programs (SPSS V.24), The research adopted the descriptive analytical method. Among the most prominent results that have been reached is the existence of a statistically significant correlation and impact relationship between the green marketing variable with its dimensions (green product, green pricing, green distribution, green promotion) in the perceived value of the customer in its dimensions (functional, emotional, and social). The research concluded with a set of recommendations. The most important of which is the necessity to activate the role of external and internal oversight committees to assess green orientation measures in health services provided by hospitals and prices in line with international standards.
Public Administration and the Challenge of Contractual Automation. Notes on Smart Contracts

Contracts represent the most advanced and least explored frontier of public sector digitisation policies. Smart contracts, totally or partially self-executive contracts operating in the blockchain ecosystem, already widely used in the private sector, received, in Italy, at the beginning of 2019, regulatory coverage, ensure high standards of efficiency and allow to contain the phenomena of maladministration. Contractual automation is close, on the legal level, to the provisional one, but it preserves some irreducible peculiarities as well as specific limits, such as the tendential incompleteness of the negotiation regulations, which can, however, be remedied by exploiting the most recent innovations in the field of artificial intelligence.
SOCIO-EDUCATIONAL INTERRELATIONSHIPS, ON-LINE EDUCATION AND WELLBEING DURING COVID-19 CONFINEMENT

In this study, socio-educational interactions of parents, teachers and students are approached regarding distance education in the context of the Programa Aprende en Casa (Learn at Home Program) during the COVID-19 confinement. The distance learning setting is approached as a space for interactions in which emotional, communicative and cognitive factors intervene and revisit factors emanating from a psychosocial line in the role of social interactions to configure wellbeing conditions. Eight hundred and ninety-nine (899) people took part in an electronic survey for the study (parents) from 17 municipalities in the state of Morelos, Mexico. A Multivariate Factor Analysis was applied to analyze relationships between the perception of wellbeing and the different variables dependent on socio-educational interactions as well as an ANOVA test to identify differences between groups. It was detected that wellbeing during distance classes is associated significantly with all socio-educational interactions. Differences were also observed depending on the technology dominance of parents and interactions. Lastly, educational implications were discussed on results regarding the relational character of learning, its impact on wellbeing, and interactions such as the key element in the socio-educational sphere. © 2021 Fundacion para la Investigacion Social Avanzada. All rights reserved.
Generalised Lipschitz Regularisation Equals Distributional Robustness

The problem of adversarial examples has highlighted the need for a theory of regularisation that is general enough to apply to exotic function classes, such as universal approximators. In response, we give a very general equality result regarding the relationship between distributional robustness and regularisation, as defined with a transportation cost uncertainty set. The theory allows us to (tightly) certify the robustness properties of a Lipschitz-regularised model with very mild assumptions. As a theoretical application we show a new result explicating the connection between adversarial learning and distributional robustness. We then give new results for how to achieve Lipschitz regularisation of kernel classifiers, which are demonstrated experimentally.
The international pandemic of Covid-19 and the state of emergency in Portugal: Addressing the effects of lockdown

The SARS-Cov2 pandemic is the first of this century and also of this new millennium. Several authors say that the repetition of similar situations in the future will be almost inevitable. It is therefore important to study its effects and the measures adopted in the current context in order to be able to measure the impact of the decisions adopted and enhance the positive effects of the future reaction to a new pandemic. We will begin by shaping the legal-constitutional framework of the state of emergency in our country in the first wave of the pandemic. Then we will present the restrictions imposed and the legal measures adopted by the Government in order to prevent the ballast of social contamination, trying to balance the protection of public health and economic openness.This work is restricted to the legal analysis of the main measures adopted during the state of emergency and the impact in legal terms that those measures have caused, evaluating the response that the existing legal instruments allowed during the confinement imposed on citizens, namely the teleworking regime or the electronic forms of conflict resolution in the consumer area. © Praksis 2021.
Automatic Abstract Text Summarizer

In this digital era the procurement of data is growing rapidly and this growth leads to excessive amount of data. This excessive amount of data demands more storage. To reduce the growing storage requirements, summarization of the data will be helpful. Summarization is the process of reducing the original information into minimized form without compromising the key information and the context. Summarization can be carried out in two methods namely Extractive Summarization and Abstractive Summarization. Extractive Summarization approach generates the summary from the source data by computing individual score to each of the sentences. This score is a decision-making parameter that decides whether to include or exclude the sentence from the summarized version or condensed version. Whereas the Abstractive Summarization approach generates the summary by advanced natural language methodologies. There would be no similarity between the input information and summarized information, thus it is not just rearranging and formatting the text as performed in extractive approach. The main aim of the project is to find a subset of data that contains all the important information of the input data set.
English Features of students’ training for master’s degree in education

Introduction. Today, in the conditions of lockdown when staff have to work remotely, the problem of staff's information and communication competence has gained special importance. Aim: to determine the features of future translators' training at the classical university. Results. The article deals with the development and verification of the author's program for the formation of information and communication competence of Master's students in the field of education at the Vinnytsia State Pedagogical University named after Mykhailo Kotsubynsky. The author analyzes the features and methods of studying information and communication competence of students of Master's program in education, the levels of the research component of their information and communication competence, and different definitions of cloud technologies, as well as proposes various tasks to study students' information and communication competence. The article presents the author's training program for the formation of information and communication competence of students of Master's program in education and compares the indicators of students' information and communication competence before and after the training program. Conclusion. The author's training program for the formation of information and communicative competence of Master' students in education has been proved to be effective: the high and sufficient levels of the research component of Master's students' information and communicative competence have grown statistically significantly.
Pengembangan Traveller Game Learning Berbantuan Media Jelajah Nusantara Pada Mata Pelajaran IPS

The purpose of this study was to determine 1) the development process of Traveler Game Learning assisted by J Exploration of the Archipelago media; 2) its implementation in the social studies subject; 3) increasing students' historical thinking skills; and 4) improving students' social skills. This research and development process refers to the Dick, Carey and Carey development procedures. The trial of the product developed was carried out at SMP Negeri Model Terpadu Bojonegoro with the sample of field trials in class VIII students totaling 30 children. The trial design used a pre-experimental design with one group pretest-posttest. The results of the validation show that the percentage of value from the learning model experts is obtained 98%, the learning tools in the form of lesson plans are 92.20%, the material is obtained 93.60%, the media is obtained 95.60%. The quality of the implementation of social studies learning, the first meeting got a percentage of 85.71%, the second meeting was 88.57%, and the third meeting was 97.14%. Overall meeting in very good category. The results of the t test on students' historical abilities showed that the t value was greater than the t table (t count = 14.89&gt; t table value = 1.699). These results indicate that there has been an increase in students' historical thinking skills in the social studies subject after the use of the Traveler Game Learning development product assisted by the Jampang Nusantara media. Students' social skills in social studies learning have increased, namely meeting I 79.17% in good category, meeting II 83.35% in very good category, and meeting II 90.83% in very good category.
To Investigate the Extent of the Level of Physical Activity Participation and Lifestyle Choice having a Significant Influence on Body Image Perception and Awareness in University Students Aged 18 - 21

Introduction: Body image refers to the perception of physical appearance and the external factors which may create low body confidence.The aim of this study was to investigate the extent of the level of physical activity participation and lifestyle choice having an influence on body image perception and awareness in University students aged 18 -21, which is believed to dictate one's variation in behaviour and attitude.Methods: Forty participants were recruited through random opportunistic sampling and were placed into Competitive Active (University team), Social Active (non-competitive), Casual Active (exercise at home/gym) and Sedentary test groups.The Body Awareness Questionnaire, Body Consciousness Questionnaire and Social Physique Anxiety Scale were given on one occasion as part of a descriptive cross-sectional study.Results: Trends were expected with consistent findings supporting the inclusion age, showing body image presentation can be indicative of an initial external judgement.Social and Casual groups do not have the outcome achievement goal (Competitive) but are self-motivated to better performance, or to socialise/compete with friends.There were no statistically significant differences between group means for each questionnaire (p > 0.05). Conclusion:The level of physical activity and lifestyle choice does have a moderate influence on body image perception and awareness, in both independent and social scenarios.Sedentary people create a negative impression of themselves over time and psychologically adjust to their physical appearance.
GENESIS, STRUCTURE OF FAMILY AND MORAL VALUES

In this article, in the course of theoretical analysis, the evolution and genesis of the development of family and moral values are classified into four stages. Content analysis of the concept of «family» in the works of Kazakh scientists (1975-2015) the presented structure of the concepts of «family», «family and moral values» is characterized by a philosophical, historical, social, pedagogical and psychological aspect. The definitions of the concepts «family», «family and moral values» are clarified. Based on the Fund of theoretical and methodological research, diagnostics was carried out using methods that correspond to the algorithm for organizing an experiment in the conditions of forming family and moral values of University students. An experiment was organized to determine the level of theoretical knowledge of students about «family values». Based on the «values questionnaire» method, a survey was conducted and the results were analyzed.
EFFECTIVENESS E- LEARNING IN THE PANDEMIC TIME COVID 19 TOWARDS STUDENTS 'LEARNING MOTIVATION

Background: This pandemic has caused many changes in various aspects of life including education. This change happened so fast and did not allow us to make preparations and anticipation so that the impact would not be so great. Learning at this time is more directed at modernization activities with the help of advanced technology with the hope of helping students digest lecture material in an interactive, productive, effective, inspirational, constructive, and fun way.&#x0D; Objective: The aim of the research was to prove the effectiveness of e-learning during the Covid-19 pandemic on the learning motivation of students in the Nursing Study Program at STIKES Bina Sehat PPNI Mojokerto.&#x0D; Methods: The research design used in this research is comparative exploratory which is used to describe and mention the differences and similarities of the subject under study. The sampling technique in this study used simple random sampling approach. The sample in this study was partly students in semester 6, with a sample size of 120 respondents. Collecting data using a questionnaire. This questionnaire is a modification of the previous questionnaire from Nursalam (2016) with a likert scale distributed by google form.&#x0D; Results: Based on the data on the effectiveness of E-Learning, most of the respondents answered that it was quite effective as many as 79 respondents or 66%, while the motivation of the students was mostly less motivated in learning as many as 89 respondents or 75%. Spearman Rho Statistical Test are obtained ρ = 0.000 with the Correlation Coefficient (r) = 0.318 which indicates a weak relationship.&#x0D; Conclusion: The presence of online learning methods (E-Learning) makes students motivated to learn again. During this pandemic period, it is hoped that students will remain motivated to learn and continue to attend lectures through E-Learning with various media.&#x0D; &#x0D; Keywords: E-Learning, motivation to learn.
Are compulsory COVID-19 containment policies more likely to be supported than voluntary ones?

How does enforcement affect support for COVID-19 virus containment policies? Katrin Schmelz (Universitat Konstanz and Thurgau Institute of Economics) explores evidence from Germany. Enforcement may be effective for measures provoking few adverse reactions and where compliance is readily ensured, such as mask-wearing and travel restrictions. But for contact tracing apps and vaccination, which are difficult ... Continued