Reviewerly/exHarmony huggingface dataset:
A SURVEY ON DEEP LEARNING FOR THE DETECTION OF THE INAPPROPRIATE CONTENT PRESENT IN TEXT

certain piece of textual information produced by any user or agent is said to be inappropriate if the expressed intent can cause hate, annoyance to other users or exhibits lack of respect, rudeness, which is disrespectful towards certain individuals or communities who may cause harm to oneself or others. In the present day scenario the different classification techniques are used to filter this kind of annoying text or messages. And browsers this days should be able to filter such kind of searches done in the searching engines which will be done every day. Providing such classification technique to filter such messages or searches which are not appropriate using some of the deep learning algorithms and considering the web search conversations such kind of searches which is found as abusive or which might cause hatred can be eliminated.
Machine Learning in Hardware Security of IoT Nodes

Machine learning algorithms are in wide use, and they have been utilized by attackers and defenders. Attackers use them to attack by sending an unwanted signal to a circuit, and defenders detect the presence of an unwanted signal using machine learning. Thus, we are going to identify the effect of machine learning on hardware security, i.e. we are going to realize the machine-learning–based mechanism of attack and defense for hardware. As we know, there is a widespread Internet of Things (IoTs), and this is a growing network of devices that establishes Internet connectivity and communication among themselves. The IoT uses billions of data as it connects billions of devices to the Internet. Due to this expansion, IoTs are vulnerable to attacks by adversaries. Adversary attacks cause malicious functions like changes in the functionality of circuits, leakage of data, reduced reliability, modification of physical parameters, etc. Hence, the security of IoT devices has become a major concern. Thus, for each hardware security issue we need to identify the suitable machine learning algorithm. We are going to highlight the important aspects of machine learning applications over hardware security problems.
Alternative Learning Media as a Solution in Distance Learning

During the COVID-19 pandemic, social distancing policies were put in place to reduce the spread of the Covid-19 virus. This has an impact on the field of education, educators are required to think of effective efforts so that education continues as it should. The purpose of this study is to find out alternative learning media as a solution in distance learning, The research method we use is descriptive qualitative method with interview instruments and library sources. The research subjects were addressed to two teachers, twenty students, and parents of students. The results show that the use of alternative learning media is considered helpful in distance learning and can be felt by all people, seen from the assistance of educators in the process of implementing distance learning for students and parents of students who can still participate in learning activities in the midst of obstacles faced. The hope of this research is that it will be useful for educators to continue to carry out distance learning activities by minimizing the obstacles faced by students and parents of students.
Blockchain: hacia propuestas educativas

The objective of this chapter is to propose some considerations in the educational and school environment based on blockchain technology and its implications, to try to advance, advance, paradigms that could be anticipated and adequately resolved . Therefore, at first it is presented how blockchain technology arises; then, what is blockchain technology, that is, its functionality; Likewise, it will be described in a third moment the part of reliability and digital security will be analyzed; as a fourth section, it will delve into the laws and the use of this technology in Mexico; and, finally, pertinent proposals will be made for the educational and school environment, as well as to proceed to the conclusions as a summary.
Graded epistemic logic with public announcement

This work introduces a new fuzzy epistemic logic with public announcement with fuzzyness on both transitions and propositions. The interpretation of the connectives is done over the Gödel algebra and the interpretation of public announcements in this logic generalises the traditional update one. The core idea is that, the effect of a public announcement is reflected on the transitions degrees of the models. The update takes in account not only the truth degree of the announcement, at a target state, but also the degree of the transitions reaching that state. We prove the soundness of all axioms of the multi-agent epistemic logic with public announcements with respect to this graded semantics. Finally, we introduce the notion of bisimulation and prove the modal invariance property for our logic.
Semi-Automated Labeling of Requirement Datasets for Relation Extraction

Creating datasets manually by human annotators is a laborious task that can lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic framework for labeling data for relation extraction. Furthermore, we provide a dataset of preprocessed sentences from the requirements engineering domain, including a set of automatically created as well as hand-crafted labels. In our case study, we compare the human and automatic labels and show that there is a substantial overlap between both annotations.
Editorial to the Special Section on Optimized Image/Video Coding Based on Deep Learning

This Special Section of the IEEE Open Journal of Circuits and Systems is dedicated to a collection of articles on Optimized Image/Video Coding based on Deep Learning, to promote techniques in algorithms, implementations, and applications in this highly active field of research. This Special Section covers articles in three categories including end-to-end image/video coding optimization, learning techniques for optimizing traditional image/video codecs, and coding for machine vision applications.
Acoustical design of an evolving post production facility at a creative arts college

A private college began to consider building a screening room and production studio in 2010. The original site was in an existing multi-media exhibit building with the studio located under the main computer server for the campus and next to a mechanical room. After bringing this project very close to fruition, the program projections had already outgrown the project. The college decided to expand the program and build a combined post production and recording facility with three sound stages on an empty piece of land on the edge of the campus. The design evolved in conjunction with the sound designer from New York, production consultant from LA, the architect, the acoustical consultant, the college, a contractor and the rest of the design team. Once the design was nearing completion and the building was being constructed, many changes were initiated by the users to reflect their current ideas. Computer models of the spaces were constructed and the acoustical designs tested for each of the evolving solutions. The evolution of the project continued as equipment was being selected for the room. When the project was almost completed a Dolby Atmos system was purchased for the main screening room so that even after construction was almost complete, additional design changes had to be made and evaluated. Post construction acoustical testing and the critiques of the users have all been exceptionally positive given the long and winding road that the project took to completion.
Demons Exposed: Freedom of Expression Justifications Challenged by the Internet

Περιμένοντας τους Bαρβάρους. Law in a Time of Constitutional Crisis is not a typical celebratory book offered to the dedicatee for an academic jubilee. The studies offered to Professor Mirosław Wyrzykowski present the readers with essays analysing the most pressing problems of modern constitutionalism in its European dimension. The primary themes of the book are topics dear to Wyrzykowski: the rule of law, human rights, the crooked paths of European constitutionalism, and last, but not least, one that binds them all: judicial independence and judicial review, as well as the role of the courts in upkeeping the rule of law.
Adaptive Multiple Features Spatially Regularized Correlation Filters for Visual Tracking

Correlation filters have reached astonishing achievements in the field of tracking in rencent years due to their speedability and accuracy. However, it will be affected by boundary effect and hardly cope with variation and distraction. In addition, multi-feature with fixed proportion or single-feature has limitations when it comes to different scenes. To address these problems, this paper presents a model named Adaptive Multiple Features Spatially Regularized Correlation Filters (AMFSR). For each kind of feature, the difference map of adjacent frames is used to solve the spatially regularized weights, and then solve the correlation filters respectively. By considering penalty score, the response maps with different features are adaptively combined, and the drift problem caused by interference can be dealt with at the same time. Experimentally, our tracker outperforms other up-to-date trackers with the average of 25FPS, which meets the real-time requirements.
The Delineated Method of Geological Anomaly Units and Its Application in The Statistical Prediction of Gold Deposit of Large Scale

The delineated method of geological anomaly units is the third one which comes after “the grid method𠇙 and “the geological body unit method”. Under “the geological anomaly ore-forming theory’s guidance, it, based on the information extraction and synthesis of multi-discipline geodata, quantitatively delineates the units using comprehensive information. It is easy for the method to realize the automatic delineation of the units with the help of computer technique and keep an unit’s information integrity at the same time.
The cryptologic characteristics of circulant matrices

A 4 × 4 invertible circulant matrix on GF(28) can represent the Mixcolumn operation of AES, which plays an important role as a confusion operation. Starting from the analysis of the Mixcolumns oper...
OPTIMIZATION OF PARAMETERS OF GENERALIZED DISPERSION ALGORITHM AT STATISTICAL PROCESS CONTROL

When monitoring a real production process using statistical methods, the question of early detection of violations arises. In most cases, several indicators are monitored simultaneously in the production process, and a change in the values of some indicators leads to a change in others. If there is a dependence of indicators for their monitoring, multivariate statistical control tools are used, in particular generalized variance chart. By varying the parameters of the chart, its efficiency can be significantly increased, this allows minimizing the time the process is in an unstable state.Applying the approach of A. Duncan, which he developed for Shewhart charts, a formula for the expectation of the duration of an unstable state of a process was obtained and a Python program was developed to minimize it. To test the set optimization problem, the calculation of the data of two process indicators is given and the optimal parameters of the generalized variance chart are obtained, at which the duration of the process in an unstable state is minimal.
PSYCHOLOGICAL TRAINING OF EMPLOYEES OF THE EMERGENCY RESCUE SQUAD

In the article the authors analyze the theoretical approaches to the concept of "psychological preparation"; highlight the features of the organization and the content of psychological training of employees of the rescue squad. The results of the study on the implementation of the program of psychological training of employees of the emergency rescue squad "We are professionals in our field" are presented.
Research on the Construction and Optimization of Enterprise Financial sharing Service Center under the Background of Da Zhi Yi Yun

In the era of Da Zhi Yi Yun, financial shared service center, as a new financial management model, has become an inevitable trend of enterprise financial reform. Based on the analysis of the meaning and characteristics of financial shared service center, this paper studies the necessity and ideas of the construction of the enterprise financial shared service center under the background of Da Zhi Yi Yun, and finds out the problems existing in the application of the current financial shared service center. Finally, the optimization scheme is proposed to make the financial-shared service center better serve the enterprise and guide the improvement of financial management efficiency.
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators

In education, quiz questions have become an important tool for assessing the knowledge of students. Yet, manually preparing such questions is a tedious task, and thus automatic question generation has been proposed as a possible alternative. So far, the vast majority of research has focused on generating the question text, relying on question answering datasets with readily picked answers, and the problem of how to come up with answer candidates in the first place has been largely ignored. Here, we aim to bridge this gap. In particular, we propose a model that can generate a specified number of answer candidates for a given passage of text, which can then be used by instructors to write questions manually or can be passed as an input to automatic answer-aware question generators. Our experiments show that our proposed answer candidate generation model outperforms several baselines.
SLA for Sequential Serverless Chains

Despite its vast potential, a challenge facing serverless computing's wide-scale adoption is the lack of Service Level Agreements (SLAs) for serverless platforms. This challenge is compounded when composition technologies are employed to construct large applications using chains of functions. Due to the dependency of a chain's performance on each function forming it, a single function's sub-optimal performance can result in performance degradations of the entire chain. This paper sheds light on this problem and provides a categorical classification of the factors that impact a serverless function execution performance. We discuss the challenge of serverless chains' SLA and present the results of leveraging FaaS2F, our proposed serverless SLA framework, to define SLAs for fixed-size and variable-size sequential serverless chains. The validation results demonstrate high accuracy in detecting sub-optimal executions exceeding 79%.
DEGREE OF ACCEPTANCE OF FLIP TEACHING METHODOLOGY AMONG THE STUDENTS OF THE WATER ENGINEERING SUBJECT IN THE BACHELOR OF ELECTRONICS AND AUTOMATION ENGINEERING

Information about the paper titled "DEGREE OF ACCEPTANCE OF FLIP TEACHING METHODOLOGY AMONG THE STUDENTS OF THE WATER ENGINEERING SUBJECT IN THE BACHELOR OF ELECTRONICS AND AUTOMATION ENGINEERING" at IATED Digital Library
FORMATION OF READINESS OF WOULD-BE TEACHERS MAJORING IN MATHEMATICS FOR INNOVATIVE PEDAGOGICAL ACTIVITY IN THE PROCESS OF THE FIRST PEDAGOGICAL INTERNSHIP

The article considers pedagogical practice as a component of the methodical system of formation of readiness of would-be teachers majoring in Mathematics for innovative pedagogical activity. The research paper describes the readiness of the would-be mathematics teacher for innovative pedagogical activity as an integrative quality of his personality, which is the result of the synthesis of motives, values, knowledge, skills, and practical subjective experience and provides successful pedagogical activity aimed at creating, disseminating and consciously and purposefully using innovations in the process of learning Mathematics. The authors substantiate the role of pedagogical internship in the process of forming the readiness of would-be Mathematics teachers for innovative pedagogical activity. Pedagogical practice not only helps students gain experience in organizing educational, extracurricular, and extracurricular activities, skills, attitudes, and values of pedagogical activities but also allows them to get acquainted with the innovative pedagogical experience of working teachers, to see examples of such experience in the educational process. What is more, the authors specify and illustrate the tasks of pedagogical internship at the first (propaedeutic) stage of formation of readiness for innovative pedagogical activity, methodical aspects of the formation of readiness of would-be teachers majoring in Mathematics in the process of propaedeutic pedagogical internship at the first level of higher education, traditional tasks of the pedagogical internship. In particular. The study considers the creation of a portfolio of innovative activity, preparation of projects, acquaintance with experience of innovative pedagogical establishments, carrying out of mini-trainings, round tables, virtual excursions, etc. It is expedient to structure the portfolio of innovative activity in the following directions: ways, receptions, means of increase of motivation of students, creation of a situation of success in the educational process; innovative forms of classes; innovative forms, methods, means of control; ways, methods of organizing reflection; innovations in the organization of extracurricular activities of students; innovative forms of activity of public organizations, organizations of school self-government. Key words: readiness for innovative pedagogical activity, pedagogical internship, Mathematics teacher, pedagogical innovations.
Spaces for recording and production in the streaming age

The creation, curation, and publication of recorded audio/video content is no longer restricted to professional recording studios and production entities. More accessible and affordable means of audio/video capture, broadcasting, and distributing (primarily through streaming and web-based methods) have given increase to the prominence of self-produced content. The expectations and demands for recording equipment and environments in an era of increasing on-demand and self-op functionality lead to a new set of design parameters. For spaces like these, complex technological and architectural systems are often required for seamless, uninterrupted, and unhindered content capture and delivery. For other spaces, such as Guarneri Hall in Chicago, the architectural and technological designs meet the needs of both high-quality audio/video recording and live streaming alongside a live “in-room” audience – all achieved within a straightforward design approach and constrained budget. This paper will focus on emerging space types which are designed to meet recording needs with an eye toward efficiency, simplicity, and the context of their delivery media.
Gap Edit Distance via Non-Adaptive Queries: Simple and Optimal

We study the problem of approximating edit distance in sublinear time. This is formalized as the $(k,\ k^{\mathrm{c}})$-GAP EDIT DISTANCE problem, where the input is a pair of strings $X, \mathrm{Y}$ and parameters $k, c\gt 1$, and the goal is to return YES if ED(X, Y) $\leq k$, NO if ED(X, Y) $\gt k^{\mathrm{c}}$, and an arbitrary answer when $k\lt $ ED(X, Y) $\leq k^{\mathrm{c}}$. Recent years have witnessed significant interest in designing sublinear-time algorithms for GAP EDIT DISTANCE.In this work, we resolve the non-adaptive query complexity of GAP EDIT DISTANCE for the entire range of parameters, improving over a sequence of previous results. Specifically, we design a non-adaptive algorithm with query complexity $\tilde{O}(n/k^{\mathrm{c}-\mathrm{O}.5})$, and we further prove that this bound is optimal up to polylogarithmic factors.Our algorithm also achieves optimal time complexity $\tilde{O}(n/k^{\mathrm{c}-\mathrm{O}.5})$ whenever $ c\geq$ 1.5. For $1 \lt c\lt $ 1.5, the running time of our algorithm is $\tilde{O}(n/k^{2\mathrm{c}-2})$. In the restricted case of $k^{\mathrm{c}}=\Omega(n)$, this matches a known result [Batu, Ergün, Kilian, Magen, Raskhodnikova, Rubinfeld, and Sami; STOC 2003], and in all other (nontrivial) cases, our running time is strictly better than all previous algorithms, including the adaptive ones. However, independent work of Bringmann, Cassis, Fischer, and Nakos [STOC 2022] provides an adaptive algorithm that bypasses the non-adaptive lower bound, but only for small enough k and c.
Research on a Reliability Prediction Method Based on Fuzzy Cognitive Map

Generally in a method on reliability prediction for a system, there is an assumption that the process of each component failure is independent, irrelevant and not affected by other components. However, in the actual working process of a product, the life change caused by dynamic influences among the components of the product should not be negligible. In this paper, a method on reliability prediction based on fuzzy cognitive map is proposed, and a case study using system in package (SiP) is given to determine the life of each component of the SiP under the state of dynamic mutual influences.
LIBRARY OF MATHEMATICAL MODELS OF MICROWAVE AMPLIFIERS AND MICROWAVE GENERATORS

The paper considers mathematical models of an amplifier, an unstabilized generator, and an autogenerator which take into account the stability parameters of the active component. The developed library of mathematical models provides automation of simulation modeling of amplifiers and autogenerators by means of a simulator-analyzer in the CAD system.
EmployingWikipedia as a Resource for Named Entity Recognition in Morphologically Complex Under-Resourced Languages

We propose a novel approach for rapid prototyping of named entity recognisers through the development of semi-automatically annotated data sets.We demonstrate the proposed pipeline on two under-resourced agglutinating languages: the Dravidian language Malayalam and the Bantu language isiZulu.Our approach is weakly supervised and bootstraps training data from Wikipedia and Google Knowledge Graph.Moreover, our approach is relatively language independent and can consequently be ported quickly (and hence cost-effectively) from one language to another, requiring only minor language-specific tailoring.
Greenhouse Monitoring and Controlling System, Study Case "Strawberry"

The application of technology in agriculture has become several indicators of progress and developments in technological science. The more specific technology used in IoT (Internet of Things) that the use of the internet network is one of the main factors in developing automated technological machines to improve agricultural systems. Therefore, the use of IoT is very useful in agriculture, especially in strawberry cultivation, which requires s control in every maintenance process, namely for several main activities such as watering, fertilizing, and monitoring temperature and plant conditions in real-time. Through this research and development, it is hoped that the IoT system will be designed using Node-RED as visual programming and will connect to the MQTT protocol as a protocol in data and information transmission. Node-RED is the new technology that use to facilitate the process of implementing the IoT system and controlling and monitoring every data and order received and made. The research method starts from data collection, designing models, collecting tools and materials, conducting tests, implementing tools to objects, and evaluating each implementation process that has been running. The hopes and targets of the Greenhouse Monitoring and Controlling System, Study Case “Strawberry” can reduce farmer labor, time efficiency with a automation system, and be able to maintain the optimal growth process of strawberry plants.