Reviewerly/exHarmony huggingface dataset:
IMPROVING COMPETENCE OF PEDAGOGICAL STAFF AS AN INDICATOR OF THE IMPLEMENTATION OF THE NEW UKRAINIAN SCHOOL REFORM

The concept of reforming general secondary education «New Ukrainian School» defines a number of components that focus on the activities of a contemporary teacher, namely: a motivated teacher who has freedom for creativity and professional development. This component draws attention to the need for the teachers to constantly improve their professional level. This involves improving the competencies acquired during professional higher / pre-higher education and obtaining new competencies, required due to the development of society and modernization of education. Thus, society currently expects teachers to understand the four components of the educational process: what to teach; whom to teach; how to teach and how those who are taught learn. Society’s expectations become reality through the changes caused by the reform of the general secondary education, namely in relation to postgraduate pedagogical education of teachers. The article considers the definition of «postgraduate pedagogical education» and the transformation of approaches to its implementation in regulations, for example, the Procedure for in-service training states that the teacher can choose at their discretion the types and areas of in-service training and service providers for advanced training. To investigate how the teachers use the opportunities provided by the state to improve their professional level, the SSI «Institute of Educational Analytics» has been monitoring the process of implementing the reform of the New Ukrainian School for three years in a row. The group of questions in the questionnaires for teachers participating in the framework of the NUS reform concerned their professional development. The survey was conducted in May-June 2021 among a representative sample of teachers, involving 2217 respondents. The obtained statistics gave grounds to say that primary school teachers use the opportunities provided to them to improve their professional level, which indirectly indicates their desire to successfully implement the reform of the New Ukrainian School.
Effective hardware architectures for LED and PRESENT ciphers for resource-constrained applications

Existing cyber physical systems (CPS) and internet-of-things (IoT) services depend largely on the widespread implementation of tiny smart devices for tracking, storing, monitoring, and networking applications. All IoT-enabled devices, including consumer smart devices, need secure communication mechanisms. In this paper, three different architectures are proposed based on LED and PRESENT lightweight block ciphers targeting at resource-constrained applications. This paper discusses two specific hardware architectures for the LED cipher. The first architecture introduces a round-based pipelined design in which pipeline registers are inserted in between round operations. Whereas the second is a serialised architecture that runs on a single cell per clock cycle. These proposed designs offer very efficient area-throughput tradeoff. In addition, we proposed a 32-bits datapath optimisation design to achieve high-performance, low-power, and energy-efficient hardware of PRESENT cipher encryption system. Various field programmable gate array (FPGA) platforms are used for hardware implementation and results are evaluated and compared with other related works.
Modern Learning Methodologies for Co-Saliency Detection

Visual saliency computing aims to imitate the human visual attention mechanism to identify the most prominent or unique areas or objects from a visual scene. It is one of the basic low-level image processing techniques and can be applied to many downstream computer vision tasks. From the perspective of traditional research, visual saliency computing can be divided into eye fixation prediction and salient object detection. However, recent research progress shows that many new research directions and branches have emerged in this field, including weak/semi-unsupervised saliency learning, co-saliency detection, and multi-mode saliency detection. This report will focus on the key issues in co-saliency detection, introduce co-saliency methods based on advanced learning methods such as multi-instance learning, metric learning, and deep learning, and discuss potential future research directions in this research area.
BiGRU-RA Model for Image Chinese Captioning via Global and Local Features

To address the problem of insufficient detailed semantic information in current global features-based image captioning models, an image Chinese captioning model combining global and local features is proposed.The proposed model adopts the encoder-decoder framework.In the coding stage, the residual networks (Res-Net) and Faster R-CNN are used to extract the global and local features of images respectively, improving the model ҆ s utilization of image features at different scales.A bi-directional gated recurrent unit (BiGRU) with embedded visual attention structure and residual connection structure is applied as the decoder (BiGRU with residual connection and attention, BiGRU-RA).The model can adaptively allocate image features and text weights, and improve the mapping relationship between image feature regions and context information.Additionally, the reinforcement learning-based policy gradient is added to improve the loss function of the model and optimize the evaluation criteria CIDEr directly.The training and experiments are conducted on the Chinese captioning dataset of AI challenger.The comparative results show that the proposed model obtained better
Reduced-Complexity Quasi-Reversible BCH Decoders for Data Storage Systems

Error-correcting codes, including Bose-Chaudhuri-Hocquenghem (BCH) codes, low-density parity-check codes, and Reed-Solomon codes have been widely applied to magnetic and data storage systems. Recently, a new subclass of BCH codes was proposed and called quasi-reversible BCH codes. This paper proposes the new error-locator polynomial, which is a sparse polynomial, requires the less finite field additions as well as multiplications, and is able to reduce time delay. Finally, the algebraic decoding algorithm for quasi-reversible BCH codes to correct up to six errors is developed.
Farewell Editorial A Heartfelt Thank You and Looking Into the New Era of TNNLS

“6 – 72 – 27,846”: Six volumes, seventy-two issues, twenty-seven thousand and eight hundred forty-six pages: How time flies! As I mark down these numbers, this December 2021 issue of IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS) also marks the last issue for me as the Editor-in-Chief.
Kripke on Identity Statements

We show that Kripke’s argument for the necessity of identity statements relating objects a and b by their rigid designators demands an additional significant premise.
CREATION OF ARAB GRAPHIC WRITINGS RECOGNITION PROGRAM

The most effective results in the processing and recognition of images are achieved through the development of information technology, the introduction of new technologies.
The Impact of E-Services Quality on Citizens Satisfaction: An Applied Study at Al Ain Municipality UAE

This research aimed to study the quality of e-service and its impact on citizen’s satisfaction. The research measured and analyzed the quality of e-service through five dimensions: Reliability, Availability, Privacy and Responsiveness. A survey that consisted of 32 questions had been sent to 350 citizens, 279 valid replies had been received and used in the analysis. To analyze and evaluate the results, we used descriptive statistics including mean, percentages and frequency count, and some inferential statistics like Cronbach Alpha, Pearson coefficient, multiple correlation, ANOVA and multiple regressions. The findings of the research showed that the citizens had evaluated the quality of the e-services (throughout all dimensions) as fair or medium service, the citizens were satisfied with three of the E-service dimensions: Reliability, Availability and Privacy but they were not satisfied with the Responsiveness. The research also found that there is a positive and significant impact of each of the e-service quality dimensions on the citizen’s satisfaction. The research proposes several recommendations that could raise the citizen's satisfaction such as increasing the awareness of the importance of the e-services provided, provide the citizens with enough information and guidelines on the systems usage, conduct workshops and live demonstration on how to use its system, have a special and qualified support team available at all times to help users to solve any problem they might face, answer the 's questions and enquires as fast as possible and expand, modify and update the systems so they include all the services customers need.
Research on the Teaching of Landscape Engineering by Foreign Teachers in Sino-Foreign Cooperative Education in SUCC

Sino-foreign cooperative education plays an important role in undergraduate education. It has also proved itself popular in higher vocational education in recent years, in which foreign teachers are undertaking the task of teaching some specialized courses. The teaching by foreign teachers has certain irreplaceable advantages, but nonnegligible disadvantages as well. Questionnaires have been distributed to the students majoring in Landscape Engineering from Shanghai Urban Construction College to investigate the teaching of specialized courses by foreign teachers. Based on the statistics, the advantages and disadvantages of their teaching have been analyzed, and several suggestions on how to adopt the good points and avoid the shortcomings are offered, so as to improve the quality of Sino-foreign cooperative education in higher vocational college.
MODERATING ROLE OF TECHNOLOGY ON THE RELATIONSHIP BETWEEN LEADERSHIP AND ORGANIZATIONAL PERFORMANCE

Statement of the Problem: Leadership plays a critical role in developing interactions and relationships towards more effective performance at the organizational level. Organizations competing in the modern environment are focusing on the factors that increase performance and their competitive edge. Increased global and regional competitions have led ﬁrms to determine to create or sustain competitive edge by adopting breakthrough modern technologies. A fast-changing environment with constant abrupt changes makes it indispensable for ﬁrms to build up their technological ambidexterity by embracing the digital technologies. Today governmental and private organizations intend to enhance their service quality and this can only be achieved by adopting a suitable leadership in moving towards knowledge and technology advancement. Energy sector has also benefited immensely from the emerging digital technologies to facilitating efficiency in grid operation in the renewable energy.Methodology: The study was anchored on the contingency theory and supported by Diffusion of innovation (DOI) theory. This study employed a cross-sectional survey design. The study population consisted of 68 institutions under the energy sector. These 68 institutions formed the target population for the study. The study used primary data. Primary data was obtained from the selected respondents using structured questionnaires. Descriptive analysis was used to analyze quantitative data through tabulations, percentages, and measure of central tendency. Results: The study revealed a statistically significant relationship between leadership and organizational performance. Technology was found to moderate the relationship between leadership and organizational performance. The introduction of technology had an enhancing moderating effect on the relationship between leadership and performance.Conclusion and Recommendation: The study concluded that managers in the energy sector should consider adoption of digital technology since they are very instrumental in optimization of the operations of an increasingly complex power system based on renewable energy. The paper recommends that managers in the energy sector should consider adoption of emerging technologies and digital technology since they are instrumental in optimization of efficiency in the operations and maintenance process and increasingly complex power system based on renewable energy.Keywords: Leadership, Organizational Performance, Technology, Innovation, Digital Technology
Reflection of professional abilities as resources of personality development of modern civil servants

Introduction.The problem of maintaining the mental health of the individual in the process of building a successful career is often studied by scientists in the context of the ability to strategic life management. Personal self-management involves the formation of an image of the world in which a person lives and oneself as part of this world, which is not possible without a developed reflection of their resources.Aim: to determine the reflection of professional abilities as resources of personality development of modern civil servants.Results. Based on the results of the analysis of the social component of reflection, it can be concluded that there is sufficient differentiation of the circle of reference persons, which includes well-known statesmen. This means that management is an important part of their lives and self-realization.Conclusion. An empirical study of the features of reflection on the professional abilities of public sector civil servants has been carried out. Peculiarities of activity and social component of reflection of professional abilities of civil servants are described. According to the results of the analysis of social reflection for most of therespondents, an effective management strategy is associated with their compliance with ethical norms.
Motivation for Reading of Students from initial stage of primary education (1st to 4th Grade)

The article discusses one of the areas of the literary education of students in the initial stage of primary education: developing interest in reading. The timeliness and relevance of the problem treated determine the purpose of the study: based on international pedagogical experience, to define a model that increases the interest in reading within the competency-based approach, and highlight the role of motivation as a building element of this model. Analyses of the structure of motivation for reading, and the means of integration of cognitive processes and creativity when working with artistic text are done, being the aim to increase the motivation for reading of first to fourth grade students.
DIALOGIC ETHICS IN THE CONTEXT OF THE PHILOSOPHY OF EDUCATION

The pedagogical aspect of dialogical ethics is considered. The author aims to characterize such a cultural phenomenon as dialogical ethics in the aspect of the formation of personal autonomy and self-development of the creative individual. With all the variety of possible definitions, dialogic ethics is interpreted as a revival at the conscious scientific level of Socrates’ maieutics; it teaches a person to pose questions and answer them, think critically, take individual responsibility for their own authenticity. Moral dialogue is interpreted as self-disclosure of personal autonomy in deep communication with people, as a process in which new meanings are generated and stable moral values are gradually crystallized and stable value orientations are formed in young people Dialogue ethics emphasizes the moments of creativity in ethics and in pedagogy. This means gaining the ability of a person to self-development.
Statistics and data visualization

Numbers and graphs are two essential modes of scientific communication, complementing, evidencing, and underscoring information communicated through text. This chapter first provides a brief historical overview of data visualization with a focus on their core functions, interaction, and mutual replaceability. Based on this overview, we derive key principles of successful scientific communication which uses statistical and visual presentation of data. Finally, examples of useful statistical and visualization techniques will be offered, including the description and visualization of central tendencies in the data (mean, median, mode), distributions (standard deviation, interquartile range), and more complex inferential statistical models (correlation, regression). Visualization techniques such as histograms, boxplots, and geomapping will also be discussed.
EmoPars: A Collection of 30K Emotion-Annotated Persian Social Media Texts

The wide reach of social media platforms, such as Twitter, have enabled many users to share their thoughts, opinions and emotions on various topics online.The ability to detect these emotions automatically would allow social scientists, as well as, businesses to better understand responses from nations and costumers.In this study we introduce a dataset of 30,000 Persian Tweets labeled with Ekman's six basic emotions (Anger, Fear, Happiness, Sadness, Hatred, and Wonder).This is the first publicly available emotion dataset in the Persian language.In this paper, we explain the data collection and labeling scheme used for the creation of this dataset.We also analyze the created dataset, showing the different features and characteristics of the data.Among other things, we investigate co-occurrence of different emotions in the dataset, and the relationship between sentiment and emotion of textual instances.
Commercial SCADA systems

Chapter Contents: C.1 Introduction C.2 SCADA data C.3 Commercially available SCADA data analysis tools C.4 Summary
Informational Status of Propositions and Readjustment of Information Structure: Focusing on –Gi, -Canhand -Ketun

초록·키워드 목차 오류제보하기 This article is intended to analyze the usage of -gi, -canh-, and -ketun in actual discourse, focusing on the speaker"s assumption about the listener"s state of knowledge. For this purpose, new/old information in each use is identified through an information-structured approach. When analyzing the speaker’s assumptions about the listener’s state of knowledge, it is important to note that the speaker’s assumptions can be wrong. The listener responds by ‘denying" or ‘fixing" the speaker"s words when the speaker"s assumption is wrong. At this point, the information status of the sentence is changed. Depending on the listener"s reaction, the information delivered by the speaker can be changed from new information to old information, or vice versa. In this kind of continuous conversation procedure, shared knowledge between the speaker and the listener can be newly created. #정보구조(information structure) #신정보/구정보(new/given information) #정보구조의 변화(adjustment of information structure) #청자의 지식 상태에 대한 가정(assumptions about the listener’s state of knowledge) #청자-구/신(hearer-old/new) 1. 서론2. 청자의 지식 상태에 대한 화자의 가정3. 한국어 어미 ‘-지’, ‘-잖-’, ‘-거든’의 정보구조4. 청자의 지식 상태에 따른 정보구조의 변화5. 결론참고문헌
Acoustic Monitoring of the Psycho-Emotional and Physical State of Operational Personnel in the Management of High-Risk Objects Based on Self-Learning Neuromorphic Systems

A behavioral model of the operator is proposed, characterized by memory and several variables of the internal psycho-emotional and physical state, which allows for the effective projection of its structure and functioning algorithm on the hardware processing environment in the form of memristive structures with built-in memory and numerous variables of its state.
Trading Platform Powered by Blockchain

Blockchain, the distributed ledger System advances in emerging decentralized systems that simplify paper processes and disrupt long-settled business models [1]. In Blockchain, data are encrypted, documented, dealing blocks together with timestamps are joined along to create an extensive, deep-seated record. Blockchain is a distributed ledger technology that aims to ensure transparency, integrity, and data security so that it cannot tamper. Blockchain technology is best notable for its association with cryptocurrency Bitcoin. It will have enormous applications in government, finance trade, accounting, and Business method Management. Therefore, an attempt is made to investigate its scope within the trading Sector by the decentralized and distributed ledger technology in this study. This paper examines the further improvement of trade finance utilizing blockchain technology.
Seismic Soundoff: Why theory and perfect data are necessary for seismic analysis

In this episode, Michael Burianyk discusses his new book, Understanding Amplitudes: Basic Seismic Analysis for Rock Properties. Burianyk explains why Newton's ideas still matter despite Einstein, how to approach machine learning with healthy skepticism, why real data can be a hindrance to learning, and why he took the time to learn about R. Hill. Hear the full episode at https://seg.org/podcast/post/13608 .
Deep Learning Techniques for Side-Channel Analysis

In recent years, deep learning techniques have proved to be successful in assisting side-channel attacks against hardware systems. Particularly, deep learning techniques automate template attacks to evaluate higher order side-channel vulnerabilities and resistance of a device. In this chapter, we present the results of successfully profiled side-channel attacks, where the adversary gains complete knowledge about the profiling device and taps sensitive values from device leakage, against two distinct profiles of the GIFT algorithm. First, we have realized the GIFT algorithm in (Un)rolled fashion and assessed the performance of the convolutional neural network (CNN) model against it. The same algorithm has been implemented with the threshold implementation (TI) countermeasure, and its side-channel vulnerability evaluated with the deep learning (CNN) model. We believe that our experimental results demonstrate the ability of these attacks to be performed in practice.
Challenges and conundrums

Various noise and vibration control experiences will be described, with data presented where available. Project types range from performing arts to offices, large to small, near and far. Some solutions were surprisingly straightforward, others were simply surprising, and others seemed fairly inventive. Some resisted predictive approaches or were hampered by questionable “data.” Several noise issues turned out to be unrelated to the MEP system, and for one or two conundrums we will welcome your insights. Often, such experiences can often offer useful approaches where conventional wisdom fails, and these war stories are the most fun to share.
EFFECT OF LABORATORY TECHNIQUE ON SECONDARY SCHOOL CHEMISTRY STUDENTSâ€™ ACQUISITION OF PRODUCTION SKILLS IN LIQUID SOAP MAKING IN IMO STATE, NIGERIA

This study determined the effect of laboratory technique on secondary school chemistry studentsâ€™ acquisition of production skills in liquid soap making in Okigwe Education Zone of Imo State, Nigeria. Two research questions and one null hypothesis guided the study. Quasi experimental research design was adopted for the study with a sample of 98 senior secondary two (SSII) chemistry studentsâ€™ selected from two out of 40 governments secondary schools in the zone. Liquid Soap Production Skills Rating Scale (LSPS_RS) was the instrument used for data collection. The LSPS_RS was validated by four experts (two from chemistry education and two from educational measurement and evaluation) and Cronbach alpha reliability coefficient of 0.81 was established. Treatment in the two groups lasted for four weeks. Data were analysed using mean, standard deviation and Analysis of Covariance. The findings revealed that students who were exposed to laboratory technique acquired higher production skills in liquid soap making than those taught using the conventional technique. It was concluded therefore that the use of laboratory technique enhanced studentsâ€™ acquisition of production skills in liquid soap making. Based on the findings, it was recommended among others that teachers should expose their students to liquid soap making using the laboratory technique in order to develop production skills that will make them self-reliant and employer of labour.