Reviewerly/exHarmony huggingface dataset:
Method of research of conditions of formation of subjectivity of the student in the educational space of the university

The article is devoted to the substantiation of the methodology for studying the conditions for the formation of students ‘ subjectivity and the development of its qualitative characteristics in various forms of organization of project activities in the educational space of the University. The problem of substantiating the methodology for studying the conditions for the formation and development of the quality of student subjectivity in the educational space of the University is revealed through the formulation and resolution of research questions caused by: – activity bases for determining subjectivity, conditions for its manifestation and development; – using methods of psychological research of subjectivity based on reflection by subjects of various aspects of personal participation in activities (motives, values, activity, etc.); – differences in educational goals, content, results and forms of project activity in education (educational, social, entrepreneurial, innovative projects; projects for organizing educational activities, training programs for project activities, project competitions). The research methods used are: modeling of project activities, organization of expertise and reflection of design competencies and signs of subjectivity of students, diagnostics of the quality of their subject position in education. Of exceptional importance were the procedures and methods of humanitarian research of educational innovations (Prozumentova, 2007): phenomenological description of design precedents in innovative educational practices, textualization, analytical commentary, analytical generalization, typologization, conceptualization. We also used methods of qualitative analysis: the case study method, focused and research interviews, and the organization of focus groups. The study identified characteristics of psychological and educational space of the University; revealed the psychological and pedagogical conditions of formation of subjectest and subjective position of a man in his education, and thus, a justified way of solving the problem of the study of quality of subjectivity of students through the analysis of existing forms of organization of project activities in the educational space of the University.
AN IMPROVED PUBLIC KEY CRYPTOSYSTEM BASED ON CHEBYSHEV CHAOTIC MAP OVER FINITE FIELD

Public key cryptosystem based on a chaotic map over finite field, depends on what is called Chebyshev map, that has a semi-group property and ability to provide a digital signature.The cryptosystem suggested by Ljupco Kocarev has a weakness in its security since it suffers from the state of repetition, resulting into more than one decryption keys (Multiple keys problem) .This paper suggests an improved public key cryptosystem which does not suffer from the repetition, so as to complicate the process of breaking the system since there is only one key that can decrypt the system.This is done by adding a large prime number to the system.Computer simulation results show that the proposed algorithm succeeds to remove the repetition problem completely.
LibGuides: Science for First Grade: Forces and Motion

This science based libguide is for first grade teachers and homeschool partnerships working with ages 5-7. It is specific to the North Carolina Common Core for science but is easily adaptable for other science curricula studies.
EL-HIFDZI (Muroja’ah dan Talaqqil Qur’an): Solusi untuk Mempermudah Setor Hafalan dan Muroja’ah Online Berbasis Aplikasi Android

Muroja'ah is memorizing and repeating the memorization of the Al-qur’an that students do to Ustaz. As for Talaqqi in terms of language, it is taken from words, namely learning face to face with Ustaz. These two methods are direct methods that are often used by schools with the Tahfizul Qur'an program in Indonesia. Entering the industrial revolution 4.0, a method of memorization and memory deposit is required that can be done remotely and online. Therefore, this article aims to produce a system design for memorizing and depositing verses of the Al-Qur'an equipped with an android application-based error correction feature. The user will be asked to record a voice and the application will translate the voice into writing. Then the writing will be matched with the Al-Qur’an database and display the results of a review of the system if there is a verse error. The output that will be produced is an animated video that describes the application virtually. This animated video is designed through several stages starting from making the StoryBoard application, interface design, compiling a video script, creating animated characters, and making animated videos. The literature used to support the implementation of this stage is literature taken from books, journals, and the internet as well as other sources.
Directed Strongly Regular Graphs and their Codes: Determinant Factorization for a Tight p-rank

The elementary divisors of the adjacency matrix A of a directed strongly regular graph are analysed to establish a tight bound for the rank over a finite field using the determinant factorization.
Spear Phishing Detections and Predictions Context Aware System Using Smartphone Sensors

In the year 2016, spear phishing has caused a significant amount of capital loss in the US. Mitigation had been done on spear phishing but existing spear phishing mobile mitigation still had a lack of detection and prediction module, no response of mitigation and limited channel for the system to check for malicious URL. This project proposed to use context-aware parameters such as timestamp, location, user identification, and others to improve the detection and prediction module, integrate alert module to a user as the response of mitigation and QR code as a new channel for malicious URL checking. Spear phishing uses personalized content which often related to the environmental context and thus the implementation of context-awareness in SPDefense is suggested. It is expected that the integration of context-awareness will further improve the detection and prediction module. The aim of the project is a tool that able to detect, predict and respond to spear phishing attack for mobile.
Making mammograms more accurate

Designing a computationally-effective algorithm for the automated detection and diagnosis of breast cancer analysing mammogram images.
The Ontology of Recorded Sound

The chapter begins with a discussion of the role of the metaphor in the formation of sound’s ontology by situating metaphorical descriptions of sound within a discussion of existing definitions of sound found in various musicological and philosophical works. The chapter shows that different ontological metaphors govern how we make sense of sound in the act of listening and how they are used as cognitive tools with which to do certain things with sound during music production. It is argued that people conceive of the general existence of sound via metaphors and that music listening and music production involve attending to sounds at different ontological levels simultaneously.
Acknowledging technological and cultural evolutions to communicate seismic information to the public.

&amp;lt;p&amp;gt;Over the past decade technologies and social media have been praised a revolution in the way seismic risk and information was communicated to the public. For instance, LastQuake system is crowdsourcing earthquake detections and providing timely information and safety tips to citizens through social media and a free app now used by over 900K users over the world. Through a series of other practical examples and case studies, among which Earthquake Network system and Raspberry Shakes use, we show that smartphones and social media along with other technologies have indeed shaped new ways to detect earthquakes. They also enable to collect key information in order to raise situational awareness and in the end, inform the public in a timely and geotargeted manner, passing from a top-down approach to a two-way communication. Technology use also led to a significant increase of citizens&amp;amp;#8217; role and implication in seismology, not only raising their interest for the risk but also for the science that relies beneath it.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Our analysis demonstrates that in order to be successful, and thus to reduce anxiety and create a trust relationship between scientists and citizens, efficient communication strategies must be based on a thorough knowledge of both risk culture and technological culture. Indeed, such assessment of the audience enables to better meet public&amp;amp;#8217;s various information needs in terms of content, format and time frame.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;However, technologies as well as their uses have kept evolving and seismologists are now facing new challenges to communicate key information. For instance, in an increasing number of cases, misinformation and rumours about earthquake predictions become viral on social media. This is a critical issue to be addressed, especially in a context of development of both earthquake early warning systems and earthquake operational forecast. Additionally, citizen communication and information routines are evolving, especially with the rise of messaging apps or the development of new social media. However, to date, messaging apps are not designed in a way that facilitates communication of critical seismic information by seismic institutions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We conclude that lessons learned from previous challenges, especially through a constant return of experience process, will be useful to address contemporary ones. Communicating towards the public is a necessity during all phases of the crisis cycle, from a scientific and risk perspective. Getting to know the audience&amp;amp;#8217;s needs, habits, language, emotions or cultural background and show them empathy is a critical part of efficient communication strategies. Finally, technologies should be seized as an opportunity to engage with citizens and build a lasting trust relationship.&amp;lt;/p&amp;gt;
Deloc: Delegation-Based Privacy-Preserving Mechanism for Location-Based Services

Location-based services (LBSs) are everywhere; we found them in several fields such as healthcare, entertainment, transportation, and many other daily activities. Besides, along with their presence in almost every daily task, their usefulness cannot be ignored. Moreover, with smartphone ownership growth, getting one's location became easier, and the privacy-related issues became almost inescapable. Hence, more severe solutions are strongly required to handle privacy issues and to keep LBS utility. We present in this paper Deloc, a novel location privacy protection mechanism founded on the idea of preserving location privacy without altering geographical coordinates. We introduce a new set of concepts and definitions that allow us to meet high privacy guarantees and data accuracy by delegating one's request to other LBS users. Similarly, we investigate the privacy issues related to LBSs along with state-of-art protection approaches and techniques. We evaluate Deloc on both synthetic and real-world data in a finely simulated environment with tunable parameters, and demonstrate its efficiency and usefulness in today's LBS applications, along with its higher privacy guarantees in respect to differential privacy standards.
Sympoiesis “becoming with and through each other”: Exploring collaborative writing as emergent academics.: Exploring collaborative writing as emergent academics.

This paper explores our journey as three female academics as we collaboratively engage in the process of writing for scholarly publication. We read our experience through Trontoâ€™s (2013) political Ethic of Care (EoC), Slow scholarship (Bozalek, 2017) and Sympoiesis (Haraway, 2016). Informed by Baradâ€™s (2007) relational ontology of space~time~mattering we explore our process of collaborative writing. We trace our journey as emerging scholars in different environments and through different modalities and material entanglements. The paper contributes to an understanding of how emerging academics can find and create opportunities to develop their scholarly practice through collaborative sympoietic relationships. We show that through an engaged and sustained Slow scholarship we were able to claim space and time to enliven our creativity and joy. This empowered us to meaningfully assert ourselves within the context of a neoliberal academic environment. Furthermore this enabled us to reimagine how socially just practices of scholarly writing could be realised in the â€˜belly of the beastâ€™.
Daydreaming optometry and computer vision syndrome - the necessity of a Social Marketing campaign in Romania

Daydreaming optometry and computer vision syndrome -the necessity of a Social Marketing campaign in RomaniaComputer Vision Syndrome (CVS) has become a real problem during the past couple of years, as it appears in individuals due to prolonged computer, cell phone and tablet use.In addition, different associations, such as the Ontario Association of Optometrists (OAO) has recommended regular breaks, when looking at digital screens.It is already known that prolonged computer, cell phone and tablet usage may cause dry eyes, neck and shoulder pain, headaches, etc.All these eye problems may have as outcomes itchy eyes, blurred eyes and many other eye problems.In order to prevent these eye problems, a rule has been established by OAO, and that is, to look away from the screen every 20 minutes, for 20 seconds, and focus on something that is located 20 feet away.Consequently, optometrists advice adult individuals to close their eyes and daydream for 20 seconds.At the same time, children are recommended to look away and daydream on occasion, because, by doing so, they may prevent CVS, which includes affections, such as eye strain and burning eyes.The following tips are offered to prevent and reduce eye problems of kids: the height and setting of the computer should be checked; the glare on the computer screen should be checked, meaning that windows or other light sources should not be visible in the monitor; the amount of lighting in the room should be reduced to match the computer screen; continuous blinking is recommended.Provided that taking short 20 seconds breaks at every 20 minutes is almost impossible during a regular eight-hour work day, when most of the people spend their entire time staring into a screen, a Social Marketing campaign should also be implemented in Romania, with the aim to raise the awareness regarding this emergent modern "disease" by bonding, bridging and linking the social issues and behavior change, and ensuring, in fact, a balance.Most of the times, Social Marketing campaigns are elaborated to assess a behavior change in a population, but are not going to be successful if certain strategies are not implemented.For instance, the determinants of a successful adopted health behavior depend on immediate environment conditions that encompass peers, local community, significant others and family, on wider social context elements such as societal norms, cultural symbolism, structural issues and social and economic conditions, and, in addition, on personal characteristics, with a specific interest in individual particularities, as goals, aspirations, self-efficacy, education, symbolic needs and skills.In conclusion, I strongly believe that the efficient application of Social Marketing principles takes the shape of the Social Marketing's Value Triad, as illustrated in Fig. 1.
Towards a context-based Bayesian recognition of transitions in locomotion activities

This paper presents a context-based approach for the recognition of transition between activities of daily living (ADLs) using wearable sensor data. A Bayesian method is implemented for the recognition of 7 ADLs with data from two wearable sensors attached to the lower limbs of subjects. A second Bayesian method recognises 12 transitions between the ADLs. The second recognition module uses both, data from wearable sensors and the activity recognised from the first Bayesian module. This approach analyses the next most probable transitions based on wearable sensor data and the context or current activity being performed by the subject. This work was validated using the ENABL3S Database composed of data collected from 7 ADLs and 12 transitions performed by participants walking on two circuits composed of flat surfaces, ascending and descending ramps and stairs. The recognition of activities achieved an accuracy of 98.3%. The recognition of transitions between ADLs achieved an accuracy of 98.8%, which improved the 95.3% accuracy obtained when the context or current activity is not considered for the recognition process. Overall, this work proposes an approach capable of recognising transitions between ADLs, which is required for the development of reliable wearable assistive robots.
Domain Decomposition Coupling of FV4 and DDFV for Numerical Weather Prediction

In the context of Numerical Weather Prediction (NWP) and more precisely in the context of regional weather prediction models, the spatial domains considered usually are non-convex, because of the orography representing mountain ranges.
TÜRKİYE'DE FİNANSAL GELİŞİM VE BEŞERİ SERMAYE ARASINDAKİ İLİŞKİ: ZAMAN SERİLERİ ANALİZİ

The world has entered a new era in the second half of the 20th century. Today, national financial sectors have beento each other integrated with advanced transaction networks together with the effect of globalization and have drawn a world wide integrated profile. In the study, the effect of human capital on financial development data for Turkey's economy [1994-2018] Time Series Analysis by using annual datas for the period is explains by the method. Taken from the world bank, central bank of the Turkish Republic and Turkish Statistical Institute data base. There is a long-term relationship between the variables used. Independent variables considered according to co-integration estimator fmolsa significantly affect education, health and M3/GDP dependent variable financial development statistically. There is a statistically significant positive relationship between education variable and financial development. When the higher education rate, which is the education variable increased by 5 units, financial development increased by 0.53 units. A negative statistically significant relationship emerged between the health variable infant mortality rate variable and financial development. Health variable the 10-unit increase in infant mortality rate reduced financial development by -0.98 units. A positive statistically significant relationship was determined between M3/GDP and financial development. An increase of 1 unit occurring in M3/GDP caused an increase of 0.72 units on financial development. According to the causality analysis, it was determined that the training variable was the reason for financial development at 5% significance level. It was determined that the 5% health variable and inflation were the reason for education at the level of significance 10% from real interest. It has been determined that education and health is the reason of 5% significance level M3/GDP. It was revealed that it is the reason of in M3/GDP from 10% significance level real interest rate.Causality relationships was emerged one-way.
Special Feature: Techrisk

Fintech is now defined by a long-term, global process of digitisation of finance, increasingly combined with datafication and new technologies including cloud computing, blockchain, Big Data and artificial intelligence. Cybersecurity and technological risks are thus evolving into major threats to financial stability and national security. This trend has been magnified by the COVID-19 crisis which has heightened dependence on digital technologies and seen substantial parts of the population working from home through systems of questionable security. Additionally, the entry of BigTech firms brings two new issues. The first arises with new forms of potentially systemically important infrastructure. The second arises because data—like finance—benefits from economies of scope and scale and from network effects and—even more than finance—tends towards monopolistic or oligopolistic outcomes. This leads to potential systematic risk from new forms of “Too Big to Fail” and “Too Connected to Fail” phenomena. We suggest some basic principles about how to address this entire range of risks.
Innovative mechanisms for the formation of a person's worldview in family relations

The article poses the problem of determining the worldview feelings of a person, as one of the stable mental structures of a person along with attitudes, value orientations, established relationships, beliefs. As the main factor in the formation of worldview feelings, it is proposed to consider a person's experiences throughout his life path. The article highlights the issues of improving the pedagogical mechanisms of the family and educational institutions in the development of the spiritual culture of the younger generation of social and legal risks. And also on the basis of the author's approach, the main directions, principles, innovative methods, the pedagogical mechanisms of the development of the spiritual culture of youth were studied, conclusions and recommendations were developed.
Model Pengenalan Suara Teks Bebas Menggunakan Algoritma Support Vector Machine

Voice authentication can be done because there are physical differences in the voice production organs of each person. The user's spoken sound pattern can be used as a voice command as desired. Some features such as accents, intonation, and the way pronunciation produce different patterns. For identification verification, voice data is divided into two groups: voice with defined text and voice with free text. Sounds resulting from the pronunciation of a particular word can be changed from analog to digital form. This change process will result in representation in vector form. One technique in voice recognition classification is the Support Vector Machine (SVM). The study aims to develop SVM algorithms to create free text-based speech patterns, recognition models. The sound pattern classification process uses three kernels for the data set so that the comparison results will be more accurate. The highest accuracy in the linear kernel is found in the 4th loop in the third fold with an accuracy rate of 94.40%. While in the polynomial kernel the highest accuracy at the 6th iteration of the second fold with an accuracy of 96.80%. The highest accuracy rate is found in the RBF kernel on the 8th loop of the third fold with 98.20% accuracy. These test results prove the RBF kernel has the best level of accuracy in free text-based speech recognition.
A Counterfactual Analysis of Causation

A counterfactual analysis of causation is developed by distinctive notion of chance-raising characterized by probabilistic Σ‎-dependence, when a causal chain is complete appealing to chance-raising at a time just before the time of the effect, and a requirement that the causal chain is made up of actual events to avoid the standard problems with conditional analyses, due to potential changes in the circumstances when the antecedents are true. Although the development takes the form of a consideration of difficult cases of causation (especially probabilistic cases of pre-emption), the resulting idea has independent motivation and simplicity. It is that <italic>causes of a target event are those which (independently of its competitors) both make the mean chance of an effect very much greater than its mean background chance, and actually influence the probability of the effect in this way, at the time at which the effect occurred via a complete causal chain</italic>.