Reviewerly/exHarmony huggingface dataset:
Transformative Leadership and Organizational Citizenship Behavior in UAE

This study was intended to investigate the effect of transformative leadership on organizational citizenship behaviour (OCB) and the moderating effect of job satisfaction and affective employee commitment on the relationship between transformative leadership and OCB in Abu Dhabi in UAE. The corporate sector in Abu Dhabi is lacking performance with ill behaviour of employees. The role of leadership is not considered as important in the organizational performance of Abu Dhabi. The present study is using social exchange theory to provide a theoretical background for the research. Data were garnered using questionnaires from a sample of 372 government entities employees out of 10200 population in Abu Dhabi. Descriptive research design and quantitative research paradigm were used to conduct the research study. Partial Least Squares-Structural Equation Modelling (PLS-SEM) and the bootstrapping technique were used to test the hypotheses. The study findings disclosed that transformative leadership can improve the organizational citizenship behaviour attitude of corporate sector employees in Abu Dhabi. The study concludes that transformative leadership can improve the OCB in corporate sector of Abu Dhabi. The researcher recommends that the organisations in Abu Dhabi should periodically keep organizing continuous seminars on training and mentoring which may emphasize the importance of positive behaviours at the workplace. More so, managers of organisations in Abu Dhabi should also keep on rewarding employees annually for exhibiting OCB in their organisations.
Teacher Talks and Their Importance for EFL Learners

In the learning process, the teacher talk is critical because it can help the success of the learning process, especially in mastering English as a foreign language (EFL) at various levels of education. EFL learners need to adapt when they enter the classroom. This narrative review aims to determine the form of teacher talk and its importance to EFL learners at different educational levels. This study uses secondary data from 13 (thirteen) journal articles, which are research results on English teacher talk from various levels of education and settings and published between 2010-2020. The articles were accessed through several databases available to the researchers. All data were synthesized based on two research questions. The results of this study were the discovery of 4 categories of teacher talk forms based on (1) speech modification to facilitate learners, (2) the teacher's role as a facilitator, (3) responses to learners, and (4) their attitude in the classroom. Teacher talk is important because it can provide correct language input to learners and help them develop and improve their ability to speak English. By knowing these results, this narrative review can provide new insights to EFL teachers at all levels of education regarding the forms of teacher talk that they can use and how the talks can help the learning process and outcomes.
CONNECTION TO THE USE OF FREE ANDROID APPS IN KEBBI STATE, NIGERIA

In this paper, we studied scamming emanating from the use of free Android apps by conducting an online survey with respondents recruited from four tertiary institutions in Kebbi State, Nigeria. We found that the apps used for communication, such as Facebook and WhatsApp, have the highest number of users. Also, 55.26 % of users reported receiving scam messages that could be linked to their use of free apps, whereas 32.45 % of them were indeed defrauded by scammers. The study concludes that the free social media apps coupled with the characteristic of the users’ login credentials could be responsible for the high rate of scam messages that the respondents receive regularly.
Effect of Computer-Aided Instruction on Chemistry Students’ Achievement in Organic Chemical Nomenclature in Enugu Education Zone of Enugu State, Nigeria

This study investigated the effect of Computer-Aided Instruction on chemistry students’ achievement in organic chemical nomenclature in Enugu Education zone of Enugu State, Nigeria. One research question and one hypothesis guided the study. The design of the study adopted was quasi experimental, pretest-post test, non equivalent control design. The sample for the study comprised of 308 chemistry students (122 male and 186 female) purposively sampled from a population of 2,734 SS1chemistry students in Enugu Education zone of Enugu state. The instrument used for data collection was Teacher Made Organic Nomenclature Achievement Test (TMONAT) with 20 items multiple choice test. The instrument was constructed by the researchers and validated by two experts, one from the department of science education and one from the department of mathematics computer education (measurement and evaluation unit, Enugu State University of Science and Technology, (ESUT). TMONAT achieved a reliability of 0.87 calculated using kuder Richardson 20 (KR-20). Treatment lasted for six weeks. Mean and standard deviation were used to answer research questions while hypothesis was tested at 0.05 significance using Analysis of Covariance (ANCOVA). Males and Females were taught using computer-aided instruction (CAI). The findings of the study revealed that male and female chemistry students taught organic chemical nomenclature (OCN) with Computer-Aided Instruction (CAI) were almost at par in their achievement in OCN. Gender has no significance influence on students’ achievement in OCN with CAI. Based on the findings, it was recommended among others that Curriculum planners should include CAI as a model of instruction that promotes gender-equity.
Active noise control method of power communication signal based on BP neural network

In the power line communication network, the electrical node switch connected to the Power Line Communication network will affect the impedance, noise and signal attenuation of the network. The connection change between the network nodes will lead to the change of the topology structure. This paper proposes a new type of automatic modulation pattern recognition system assisted by blind channel recognition based on a convolutional neural network, which is composed of two convolutional neural networks with different architectures, and successfully improves the recognition accuracy of the traditional automatic modulation pattern recognition system. The Signal to Noise Ratio recognition rate of the proposed blind channel recognition assisted Adaptive Multi-Rate system is as high as 99 %, which is more than 5 % higher than that of other comparison methods. After several iterations, the accuracy and loss function of the model studied in this paper are still at a stable level. The intelligent recognition technology of blind signals proposed in this paper can effectively improve the interference problem of communication signals in power system and has a promotion effect in other communication systems, which can achieve higher technical application value.
Numerical Feature Representation with Hybrid <i>N</i> -ary Encoding

Numerical features (e.g., statistical features) are widely used in recommender systems and online advertising. Existing approaches for numerical feature representation in industry are primarily based on discretization. However, hard-discretization based methods (e.g., Equal Distance Discretization) are deficient in continuity while soft-discretization based methods (e.g., AutoDis) lack discriminability. To emphasize both continuity and discriminability for numerical features, we propose an end-to-end representation learning framework named NaryDis. Specifically, NaryDis first leverages hybrid n-ary encoding as an automatic discretization module to generate hybrid-grained discretization results (multiple encoded sequences). Each position of the encoded sequence is assigned with a positional embedding and an intra-ary attention network is leveraged to aggregate the positional embeddings for obtaining ary-wise representations. Then an inter-ary attention is adopted to assemble these representations, which are further constrained by a self-supervised regularization module. Comprehensive experiments on two public datasets are conducted to show the superiority and compatibility of NaryDis. Besides, we deeply investigate the properties of continuity and discriminability. Moreover, we further verify the effectiveness of NaryDis on a large-scale industrial advertisement dataset.
KELAYAKAN BAHAN AJAR CERITA RAKYAT DALAM BUKU TEKS BAHASA INDONESIA SEKOLAH MENENGAH ATAS

The purpose of this reasearch was to describe the feasibility of teaching folklore materials in various Indonesian class X textbooks used by teachers and students in carrying out learning at school. The types of package books are as follows; 1) Indonesian Language Teacher Book for class X of the Ministry of Education and Culture in 2021, the folklore studied is entitled; a.) The Tale of the Noble senses and b) The Tale of Bayan Budiman 2) The Indonesian Language Smart Book for class X Erlangga, the folklore under study is entitled; a) The Tale of Panji Semirang and b) The Tale of Sri Rama and 3) The Book of Indonesian Language and Literature for class X Yrama Widya, the folklore under study entitled; a.) The Tale of Hang Tuah and b) The Tale of Raja Balad. The research method used in this study is the content analysis method, this method is used to reveal further and in-depth information from a text, symbol, image and so on. The saga studied has various advantages and disadvantages in each aspect, of the six saga, which are not suitable for use in teaching materials are the Hikayat Hang Tuah and Raja Balad in the book "Smart Indonesian Language for Class X SMA" the two saga do not have complexity and clarity in terms of content, apart from that no stimulus was shown before the writing of this saga was listed.
Financial Management in Categorized Schools the Outstanding School of Muhammadiyah

The provincial board of Muhammadiyah East Java categorizes three kinds of superior schools: The Outstanding School, The Excellent School, and The Inspiring School of Muhammadiyah. In 2021 there were seven schools categorized as The Outstanding School of Muhammadiyah, one of which is SMA Muhammadiyah 2 Sidoarjo. As the Outstanding School of Muhammadiyah East Java, SMA Muhammadiyah 2 Sidoarjo manages its finances by applying management principles to meet all funding needs for academic and non-academic processes. This study aims to analyze the implementation of financial management at SMA Muhammadiyah 2 Sidoarjo as a school with the category of The Outstanding School of Muhammadiyah. This study uses a qualitative method with a case study design that collects and analyzes financial management data at SMAMDA Sidoarjo. Collecting data using the method of observation, interviews, and documentation. Data analysis was carried out in three stages: data reduction, data exposure, and conclusion examination and verification. The study revealed that the financial management of SMAMDA Sidoarjo runs in accordance with the principles and procedures of financial management of Muhammadiyah schools, including planning, organizing, implementing, controlling, and accountability. In addition to the principles of transparency and accountability, this school also strengthens the principle of budget surplus so that every year the school is able to generate a significant plus balance. In the process of recording, bookkeeping, and reporting using the Sango Professional application system in accordance with financial accounting standards for non-profit institutions (ISAK 35). Financial management in this school shows high transparency and accountability. This can be seen from the achievement of the results of the school financial audit conducted by the Public Accounting Firm in 2021 with the results of an Unqualified Opinion.
DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search

Writing software is tedious, error-prone, and accessible only to a small share of the population -yet coding grows increasingly important as the digital world plays larger and larger roles in peoples' lives.Programming by example seeks to make programming more reliable and accessible by allowing non-technical users to specify programs only from pairs of input-output examples.DeepSynth is a general purpose programming by example tool, which combines predictions from neural networks with symbolic methods to generate programs.
Identify students’ difficulties in essay writing courses

This study aims to determine the students' difficulties in the Essay Writing course. The subjects of this study were fifth semester students of the Department of English Education at IAIN Sultan Amai Gorontalo for the 2019/2020 academic year, totaling 5 students. The method used in this study is a qualitative method with a descriptive design. Data was collected through observation sheets, interviews and documentation. Analysis data is done through data reduction, data presentation, and drawing conclusions. The results showed that there were four difficulties in the Essay Writing course, namely Lack of vocabulary, Lack of grammar mastery, Lack of organization and mechanics mastery in writing. The researcher implies that lecturers must pay attention to students' vocabulary mastery and students' grammatical skills.
If someone believes in me (信) More Sincerely (覆), I Can (可) does It Better (使)! (Tcheonzamun 177th-192nd)

French missionary Dallet (1874) wrote that the ancient Chinese people, Tchi’n(秦), utilized the book ‘The thousand character essay’ (It is called ‘Tcheonzamun’ in Korea). In order to instruct their children for Chinese characters the book was used. For the present study, the translation was done through the meaning of Chinese character. The part on Tcheonzamun of the present study was 16 letters of (Tcheonzamun 177th-192nd). &lt;Number in Tcheonzamun Chinese characters (Pronunciation of Korean language in English alphabet) &gt; 185-188 信 (Sin) 使 (Sa) 可(Ga) 覆(Bog). If someone believes in me (信) more sincerely (覆) I can (可) do it better (使)!
The Syntactic Structure of an Introductory PP in Standard Arabic: A Non-Transformational Approach

The paper discusses the structure of a particular prepositional phrase (PP) that is commonly used in Standard Arabic, especially in formal contexts. This PP is used when a speaker wants to start an utterance with an expression that denotes a general observation or impression without referring to its source. It can be described as ‘an introductory PP’. It consists of the preposition min and its complement like the PP min al-mutawaqqaʕ which expresses a meaning similar to ‘it is expected that ...’. Syntactically, the occurrence of this introductory PP, compared with other PPs, is distinct in that it is restricted to three structural patterns. Although the use of this PP is common, its structure is still not studied thoroughly in the literature. Hence, the paper aims to contribute to the current linguistic research by exploring the structure of this introductory PP. The paper offers both a data-based description and a non-transformational analysis of the relevant linguistic properties of this PP and the constructions in which it occurs. The theoretical framework that is used here is Head-driven Phrase Structure Grammar.
Clustering of PDQ Participant Student in Faculty of Mathematics and Natural Sciences UII using the ROCK Method

The Qur’anic Self-Development (PDQ)-Ta'lim Program is one of the student activities that must be followed by diploma and bachelor program students in Universitas Islam Indonesia (UII). The implementation of PDQ is coordinated by each faculty which is carried out for 4 semesters with 12 meetings for each semester. After carrying out PDQ activities, it is necessary to know the student profiles that can be used as the basis for policy making in the implementation of PDQ activities in the next period. In order to find out the profile of students after participating in PDQ activities, it is necessary to group these students based on related variables. This study uses the ROCK method to group students participating in the PDQ Faculty of Mathematics and Natural Sciences (FMIPA) UII batch 2020. The ROCK method is a robust agglomerative hierarchical-clustering algorithm based on the notion of links. The ROCK method is a suitable clustering method for grouping data with categorical variables. Based on the results of the analysis of the ROCK method of student data for the batch 2020 FMIPA UII, obtained three optimum clusters (k=3) at a threshold value of θ of 0.20. Threshold 0.20 has the smallest SW/SB ratio value of 0.0514 or 5.14% and the largest R-squared value is 61.76% compared to other thresholds.
P‐7.6: Research on Small Target Detection and Behavior Recognition Algorithm for Beach Monitoring System

SID Symposium Digest of Technical PapersVolume 53, Issue S1 p. 827-827 Poster Session: P-7: Display system P-7.6: Research on Small Target Detection and Behavior Recognition Algorithm for Beach Monitoring System Zhiyang Xiao, Zhiyang Xiao School of Advanced Manufacturing, Fuzhou University, Quanzhou, FuJian, 362200 ChinaSearch for more papers by this authorDong Wang, Dong Wang School of Advanced Manufacturing, Fuzhou University, Quanzhou, FuJian, 362200 ChinaSearch for more papers by this authorJianpu Lin, Jianpu Lin School of Advanced Manufacturing, Fuzhou University, Quanzhou, FuJian, 362200 ChinaSearch for more papers by this author Zhiyang Xiao, Zhiyang Xiao School of Advanced Manufacturing, Fuzhou University, Quanzhou, FuJian, 362200 ChinaSearch for more papers by this authorDong Wang, Dong Wang School of Advanced Manufacturing, Fuzhou University, Quanzhou, FuJian, 362200 ChinaSearch for more papers by this authorJianpu Lin, Jianpu Lin School of Advanced Manufacturing, Fuzhou University, Quanzhou, FuJian, 362200 ChinaSearch for more papers by this author First published: 17 October 2022 https://doi.org/10.1002/sdtp.16109AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. References 1 Redmon J, Divvala S, Girshick R, et al. You only look once: Unified, real-time object detection[C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779– 788 2 Biswas K, Kumar S, Banerjee S, et al. SMU: smooth activation function for deep networks using smoothing maximum technique[J]. arXiv preprint arXiv:2111.04682, 2021. 3 Fang H S, Xie S, Tai Y W, et al. Rmpe: Regional multi-person pose estimation[C]//Proceedings of the IEEE international conference on computer vision. 2017: 2334– 2343. Volume53, IssueS1International Conference on Display Technology 2022 (Volume 53, Issue S1)October 2022Pages 827-827 ReferencesRelatedInformation
Focus and Bias: Will It Blend?

One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted biases learnt by the model. However, the huge amount of samples the domain experts must review makes this task more challenging as the size of the dataset grows. In an ideal case, domain experts should be provided only with a small number of selected samples containing potential biases. The recently published Focus score seems a promising tool for the selection of samples containing potential unwanted biases. In this work, we conduct a first study in this direction, analyzing the behavior of the Focus score when applied to a biased model. First, we verified that Focus is indeed sensitive to an induced bias. This is assessed by forcing a spurious correlation, training a model using only cats-indoor and dogs-outdoor. We empirically prove that the model learnt to distinguish the contexts (outdoor vs indoor) instead of cat vs dog classes, so ensuring that the model learnt an unwanted bias. Afterwards, we apply the Focus on this biased model showing how the Focus score decreases when the input contains the aforementioned bias. This analysis sheds light on the Focus behavior when applied to a biased model, highlighting its strengths for its use for bias detection.
Parametric Representation of Polychotomies in Pedagogy

The article deals with the formalization of polychotomous classifications in scientific and educational literature on the theory and methodology of physical education, sports training, recreational and adaptive physical education.The object of the study is the key points of the multidisciplinary polychotomous approach in the analyzed pedagogical branch.The methodology of the research of the selected cumulative information was based on formal logic.The obtained results of the study testify to the success of the applied tools for formalizing mutually exclusive classifications of pedagogical concepts.Therefore, as a mutually exclusive logical classification of terms into two components, the authors give examples, found in pedagogical texts:1. "abulia -will" (opposing character traits); 2. "autocratic -democratic" (types of coaching styles); 3. "adaptation -disadaptation" (opposite levels of adjustment to environmental conditions).Similar examples of using trichotomies as a method of classification into three components are available in scientific and educational literature on pedagogy:1. "climbers -hang gliders -skydivers" (athletes with the highest death rate); 2. "acyclic -mixed -cyclic" (types of physical exercise classified by movements); 3. "wavy-ascending -linear-ascending -step-ascending" (forms of increasing intensity in training).As a result, the authors received a final system-parametric formula reflecting both individual indicators and their interrelations at the level of separate logical constructs.