Reviewerly/exHarmony huggingface dataset:
Detection of Toxic Content to Improve Online Platforms

With the fast expansion of textual data available online, text classification becomes an important task to maintain the data available in a systematic manner. One application of text classification is handling online toxic and unwanted content. Toxic content spreads hate, and therefore, timely detection is a prime requirement. Manual screening of toxic content over the online platform is not a feasible solution as the amount of data inflow remains very high. Quora is an online platform which empowers people to learn from each other’s knowledge by asking questions and sharing useful insights for the same. A key challenge for them is to weed out such insincere questions, i.e., questions based on false premise, spreading hatred, flat statements, etc. Word2vec and TF-IDF are two approaches widely used for text classification problem. Preprocessing steps are performed to ensure better classification. Both the approaches (word2vec and TF-IDF) are implemented in this study, and results are compared.
ЯРМАРКА ВАКАНСИЙ В УСЛОВИЯХ ПАНДЕМИИ: ОПЫТ КУРСКОГО ГОСУДАРСТВЕННОГО МЕДИЦИНСКОГО УНИВЕРСИТЕТА

The article analyzes the results of a study conducted by the university employment center for graduates of the annual large-scale event in the field of promoting employment and building a career trajectory «KSMU Job fair», which participants are employers from more than 20 regions of the Russian Federation and students of final courses of secondary, higher and postgraduate education. In 2020, in connection with the pandemic caused by the new coronavirus infection (COVID-19), the event was held in a remote format and was called «KSMU Electronic job fair – 2020». The organizational conditions on which the successful conduct of a career event of an all-Russian scale in electronic format depends. An assessment of the satisfaction of the event participants with the level of its holding and efficiency is presented.
Subject Guides: Technical Communication: Citing Your Sources

A guide to librarian-recommended resources in technical communication and technical writing, including databases, books, journals, websites and more.
Perfiles e identidad digital para investigadores y docentes UNAB : CvLAC, Google Scholar, ORCID, Scopus ID y ResearchGate

Indications to create the profiles of researchers and UNAB teachers, among them mainly the Curriculum Vitae of Latin America and the Caribbean CvLAC, the search engine for scientific-academic contentGoogle Scholar, the open collaborator and researcher identifier ORCID, the author identifier and integrated profile Scopus ID, and the social network of scientists in various disciplines ResearchGate.
Research Guides: Student Curated Digital Exhibits: Creating Exhibits

This guide includes information for students curating digital exhibits using Special Collections materials
Enhancement of Consistent Depth Estimation for Monocular Videos Approach

Depth estimation has made great progress in the last few years due to its applications in robotics science and computer vision. Various methods have been developed and implemented to estimate the depth, without flickers and missing holes. Despite this progress, it is still one of the main challenges for researchers, especially for the video applications which have more difficulties such as the complexity of the neural network which affects the run time. Moreover to use such input like monocular video for depth estimation is considered an attractive idea, particularly for hand-held devices such as mobile phones, nowadays they are very popular for capturing pictures and videos. Here in this work, we focus on enhancing the existing consistent depth estimation for monocular videos approach to be with less usage of memory and with using less number of parameters without having a significant reduction in the quality of the depth estimation.
THEORETICAL AND METHODOLOGICAL PROBLEMS OF USING DIGITAL EDUCATIONAL RESOURCES OF THE FUTURE TEACHER

The article discusses some theoretical and methodological problems of using the digital educational resources of a future teacher. The study determines that the integrated use of the capabilities of information and telecommunication technologies in education can be achieved through the development and use of multifunctional digital educational resources that meet the current needs of the educational process, the features of the content, teaching methods and forms. The authors in the article, analyzing the scientific and pedagogical literature, the authors strive to show the direction of the introduction of digital educational resources in the educational process and the psychological principles of development necessary for their description and use, as well as the basic requirements of the educational system in digital educational resources.
Exclusivity and Paternalism in the Public Governance of Explainable AI

In this comment, we address the apparent exclusivity and paternalism of goal and standard setting for explainable AI and its implications for the public governance of AI. We argue that the widening use of AI decision-making, including the development of autonomous systems, not only poses widely-discussed risks for human autonomy in itself, but is also the subject of a standard-setting process that is remarkably closed to effective public contestation. The implications of this turn in governance for democratic decision-making in Britain have also yet to be fully appreciated. As the governance of AI gathers pace, one of the major tasks will be ensure not only that AI systems are technically ‘explainable’ but that, in a fuller sense, the relevant standards and rules are contestable and that governing institutions and processes are open to democratic contestability.
African Union Convention on the Prevention and Regulation of Corruption (AUCPCC) and the normalization of corruption in Africa

It would seem like corruption has become a norm in most African states and institutions. The lack of consequence on corrupt people in Africa has increased the levels of corruption on the continent. The purpose of this study is to determine the factors that have led to the normalization of corruption in Africa and suggest possible solutions to end this penchant. The objective of this study was to investigate the extent to whichcorruption has become entrenched in Africa and why the various legal frameworks such as the African Union Convention on the Prevention and Regulation of Corruption (AUCPCC) have failed to stamp out corrupt practices in Africa in spite of it being ratified by 44 out of the 55 member states.The study applied secondary research methodology because of the availability of data that is related to the study. The study found that corruption has permeated all parts of society in Africa and has resulted in the retardation and collapse of the civil society, prevented the attainment of the SDGs, maladministration and lack of socio-economic developmental advancement on a continent that has suffered from all forms of exploitation of its resources and peoples.
LibGuides: Guided Pathways: Health

This guide will outline the ways in which the library can support Guided Pathways efforts at Moreno Valley College.
The main directions of education development in the conditions of digitalization

The article discusses the urgent problem of the education system - the preschool education development in the context of digitalization. The solution of this problem is facilitated by the creation of an information and educational environment, as well as the use of information and communication tools in communication, construction, play and other types of productive creative child activity. The authors of the article presented in detail four directions of the preschool education development in the context of digitalization: the creation of an information and educational environment (IEE) that meets the requirements of the harmonious holistic development of preschool children; ICT software assuring electromagnetic safety; introduction of new information technologies; formation of information competence in subjects of educational relations; and also gave an example of the use of these directions in the preschool educational institution (PEI) and the developed methodological sequence in the implementation of program content. The use of telecommunications, Intranet and Internet networks, telephone communications, etc. for the exchange of information brings variety to the joint activities of children and teachers. The authors of the article note that for the preschool education development in the context of digitalization, it is necessary to create in PEI a regulatory and legal framework, psychological and pedagogical conditions, a material and technical base, electronic educational resources, a criterion-diagnostic base, as well as to organize work with children, parents and teachers.
Applicat ion of the wave function collapse algorithm for sample images generation

The Wave Function Collapse (WFC) algorithm is a new algorithm that can generate procedural patterns from a sample image. It is especially fascinating for game designers, allowing them to draw their ideas rather than coding them by hand. This article discusses what kinds of output images WFC can generate with an implementation in the Python programming language.
Penyusunan Konten Pembelajaran E-Learning Berbasis Aplikasi Moodle pada Materi Asam Basa

This research was conducted to develop an e-learning platform using Moodle Application ofacid based topic. This is research and Development (R&amp;D). The Development model used is a 4-D which consist of stage define, design, develop, and disseminate. This research is limited to the stage of development, namely the validity. The E-learning was Validated by 7validators. Data from validity the result were analized using the Aikens'V formula. Based onthe result of the study, it was found that the average Aikens’V of content validity test was0,84 with a category valid and the average Aikens’V of construct validity was 0,81 with acategory valid. Penelitian ini dilakukan untuk mengembangkan konten pembelajaran e-learning berbasis aplikasi moodle pada materi asam basa. Jenis penelitian ini adalah Research and Development (R&amp;D). Model penelitian yang digunakan adalah model 4-D dengan empat tahapan yaitu define, design, develop, dan disseminate. Penelitian ini dibatasi pada tahap pengembangan yaitu penentuan validitas. Validitas dilakukan oleh 7 validator. Data diambil dari angket validitas lalu dianalisis menggunakan rumus formula Aikens’V. Berdasarkan hasil uji validitas konten menunjukkan bahwa rata-rata formula Aikens’V adalah 0,84 dengan kategori valid dan hasil validitas konstruk dengan rata-rata formula Aikens’V adalah 0,81 dengan kategori valid.
Содержание компонентов профессионально-познавательной активности у студентов педагогических специальностей

Тhe article discusses the problem of activity of students of pedagogical profile in the educational process. The analysis of the content of professional and cognitive activity and the level of development of its components (motivational, regulatory, dynamic and effective) of students of pedagogical specialties in comparison with students of non-pedagogical specialties is carried out. The features of these components in the activities of studentsof the pedagogical profile of training are described. In the activity of students-teachers, the motives of teaching have a greater social orientation, while it is more difficult for students to resist stressful situations, they are more satisfied with the results of their educational activities. They also rate their own training higher, even if there are no real differences between the groups. Students of this profile are characterized by the relationship of dynamic aspects of activity with academic achievements.
Преподавание строительных дисциплин студентам с использованием мультимедийного сопровождения

The article is devoted to teaching construction disciplines using multimedia support for the lecture process. The related methodological, psychological and technical features of the educational process are considered. Examples of arrangement and presentation of educational and illustrative material have been developed. The scheme of the department's multimedia information and methodological database is proposed.
Additional Drivers [1.35 – 1.38]

HQ drivers images work with 1.35 and above. Please Consider The Following: 1 DOES NOT replace the original drivers. 2 It is a merge between 2 ...
Robust tracking of moving hand in coloured video acquired through simple camera

Interaction through dynamic hand gestures is an interesting yet challenging area because in computer vision the hand is a non-rigid object that moves unpredictably. Additionally, the real-time backgrounds are unstable. RGB data of moving hand are sensitive to light variation and camera-view thus, continuous localisation of hand region in RGB images is strenuous. This paper proposes a unique solution that combines Scale-Invariant Feature Transform (SIFT) features with automatic feature extraction mechanism of Region-based Convolutional Neural Network (R-CNN), for robust tracking of moving hand in coloured video acquired through a camera with normal resolution. The efficiency of the proposed methodology is 96.84% in simple and 94.73% in complex background. The comparative analysis with contemporary techniques working on RGB images exhibits that the proposed solution gives high accuracy in a real-time environment. In the future, we can design an economical and user-friendly natural user interface using the proposed technique.
Increasing information competence through inclusion in mathematics lessons in primary school

This article examines two areas of information literacy formation in primary school students. The complex of skills and the content of the material in each direction have been clarified: "Reading. Working with text"and"Formation of ICT competence of students".Based on the analysis of psychological and pedagogical literature, systematization and generalization of the experience of primary school teachers, shortcomings in the wording of tasks and the provision of various forms of information were indicated. Authors of textbooks, teachers often omit these questions, because they do not consider them necessary, and as a result, the correct approach to reading the relevant information is not formed. On the basis of the above, the initial provisions are determined and additional tasks are proposed that increase the level of information literacy of primary schoolchildren.
Multiple question fronting without relational constraints: An analysis of Russian as a basis for cross-linguistic modeling

We present an analysis of multiple question fronting in a restricted variant of the HPSG formalism (DELPH-IN) where unification is the only natively defined operation. Analysing multiple fronting in this formalism is challenging, because it requires carefully handling list appends, something that HPSG analyses of question fronting heavily rely on. Our analysis uses the append list type to address this challenge. We focus the testing of our analysis on Russian, although we also integrate it into the Grammar Matrix customization system where it serves as a basis for cross-linguistic modeling. In this context, we discuss the relationship of our analysis to lexical threading and conclude that, while lexical threading has its advantages, modeling multiple extraction cross-linguistically is easier without the lexical threading assumption.
Linear Kernel Alignment for Domain Generalisation

Author(s): Tang, Shuai | Advisor(s): de Sa, Virginia R | Abstract: Kernel Alignment has been developed and analysed in the field of multiple kernel learning in the past few decades. Recent studies have shown that kernel alignment with linear kernels can be used to measure the similarity between two sets of high-dimensional vector representations produced by neural networks. Given its theoretical guarantees in learning and practical implication in analysing machine learning models, this thesis examines linear kernel alignment and the algorithm for learning kernel alignment in domain generalisation mainly in three aspects. Firstly, with the help of sketching techniques, we demonstrate that linear kernel alignment is a decent proxy for transferability, which is defined as a score that implies how well a pretrained model would perform on a downstream task. Secondly, in the setting of transferring learnt knowledge from a pretrained neural network to a downstream task, instead of finetuning the top layer or the whole network to adapt to the new task, we propose to accumulate feature vectors from a certain number of layers for making final predictions. The layer selection is done through an algorithm for seeking an optimal convex combination of linear kernels from individual layers. The optimised combination gives as good performance as combining all layers, and the performance is better than simply finetuning the top layer of a pretrained neural network. Thirdly, in ensemble learning, by using the algorithm for learning kernels with linear kernels constructed from individual predictors, the optimal convex combination drastically prunes the predictors required for the inference whilst boosting the performance of ensemble learning methods when all predictors are used. Through these three chapters, we demonstrate the simplicity and practicality of linear kernel alignment in domain generalisation.
LibGuides: How to Fact-Check on the Internet: S - Stop

Vet websites using fact checkers’ strategies (such as the SIFT method), and why you should do it.
Parametric Evaluation of Guided Image Filter with Window Size

The guided filter is an explicit image filter that can be procured from a local linear model. The purpose of the guided filter is to reckon the filtering output by taking the subject of a guidance image, which can be either self-image or reference image, into consideration. Similar to a bilateral filter, a guided filter can be operated as a smoothing edge-preserving operator that behaves much efficiently near the edges. Apart from smoothing, new filtering applications such as guided feathering and dehazing can also be enabled as the filter is able to transfer the explicit structure of the guidance image to the filtering output. Another aspect of the guided filter is that it naturally has a rapid and exact algorithm, irrespective of the intensity range and kernel size. The regularization parameter (ϵ) and window size (r) are the two salient aspects which ascertain the characteristics of the guided image applied to the input image i.e the degree of the edges of an image can be discerned with the help of them. In this paper, we will be observing the effect of the window size on a guided filtered image.
The development of stemming algorithm for the Uzbek language

The automatic processing of unstructured texts in natural languages is one of the relevant problems of computer analysis and text synthesis. Within this problem, the author singles out a task of text normalization, which usually suggests such processes as tokenization, stemming, and lemmatization. The existing stemming algorithms for the most part are oriented towards the synthetic languages with inflectional morphemes. The Uzbek language represents an example of agglutinative language, characterized by polysemanticity of affixal and auxiliary morphemes. Although the Uzbek language largely differs from, for example, English language, it is successfully processed by stemming algorithms. There are virtually no examples of effective implementation of stemming algorithms for the Uzbek language; therefore, this questions is the subject of scientific interest and defines the goal of this work. In the course of this research, the author solved the task of bringing the given texts in the Uzbek language to normal form, which on the preliminary stage were tokenized and cleared of stop words. To author developed the method of normalization of texts in the Uzbek language based on the stemming algorithm. The development of stemming algorithm employed hybrid approach with application of algorithmic method, lexicon of linguistic rules and database of the normal word forms of the Uzbek language. The precision of the proposed algorithm depends on the precision of tokenization algorithm. At the same time, the article did not explore the question of finding the roots of paired words separated by spaces, as this task is solved at the stage of tokenization. The algorithm can be integrated into various automated systems for machine translation, information extraction, data retrieval, etc.
Multi-step prediction of zero series and gap series of Riemann zeta function

This paper reveals the chaotic characteristic of the zero-gap series of Riemann zeta function from a new perspective of chaotic dynamics, and addresses the multi-step prediction of the zero series and gap series using the proposed EMD-ELM (empirical mode decomposition-extreme learning machine) method. Firstly, the chaotic time series analysis approach is utilized in the state space reconstruction of the gap series, and the chaotic characteristic parameters such as correlation dimension and maximal Lyapunov exponent are calculated. Numerical results indicate that the gap series possesses weak chaotic property, rather than pure random series. Subsequently, an effective time series forecasting method named as EMD-ELM based on the machine learning technique is proposed, so as to predict the zero series and gap series of Riemann zeta function. It is shown that the multi-step prediction of the zero series presents a fairly high accuracy while that of the gap series has an acceptable predicted accuracy, which implies that these series contains intrinsic order.
Wow, That's Great! The Effect of Phatic Cues in Chatbot Conversations.

Firms increasingly use chatbots along the customer journey. Despite the importance of language for these conversational systems, a systematic analysis of the effects of language are missing. The present study aims to close this gap. Drawing from communications research and the fundamental functions of language, we examine how the phatic function of language - also known as the social function - affects consumers’ perceptions of chatbot conversations and interactions. We test this effect in an online experiment where participants had to chat with a dating bot that used either functional language or humanized language (i.e. with phatic cues like “aha”, “hm”). Results indicate that consumers interact longer and write more with a humanized chatbot using phatic cues than a more functional bot. However, results also show that the phatic language increases consumers’ perceived sensitivity of content and consequently their concerns for presenting themselves in a good light.
Research Guides: Decolonization & Anti-Racism: e-Books & Media

In support of UBC's Indigenous Strategic Plan (ISP) this guide assists in finding and facilitating decolonial & anti-racist research. Here you will find key resources, search strategies, & additional open access information sources.
El inicio de la práctica docente a distancia. La primera aproximación: reflexiones desde la experiencia del estudiantado

The health contingency due to COVID-19 brought a change in the participation dynamics in educational settings. Experimenting from a distance the approach to previously unknown conditions leads the students of the Bachelor of Inclusive Education at Benemerita y Centenaria Escuela Normal del Estado de San Luis Potosi (BECENESLP) to reflect on the conditions that consolidate a process of readaptation, interpretation and creation of knowledge that provides a response to teaching at a distance. The general objective of this work is to understand the complex professionalizing path in times of pandemic from the voices of the learner.