Reviewerly/exHarmony huggingface dataset:
The effect of SME leadership style on employee turnover intention through employee engagement Focusing on transformational, empowering and authentic leadership

Human resource development of a company is a factor for the sustainable survival of a company and is recognized as an important source that determines the success or failure of the company. However, most SMEs are experiencing negative consequences from the departure of organizational members, which causes difficulty in human resource development for SMEs.&#x0D; Therefore it is necessary to identify the variables that affect the turnover intention of SME workers. In this study 321 data were analyzed through convenience sampling for SME organizational members, and the following research results were derived by confirming the structural relationship between variables of transformational, empowering, authentic leadership, employee commitment, and turnover intention. First it was found that transformational, empowering, and authentic leadership did not directly affect turnover intention. Second, it was found that employee engagement showed a positive (+) relationship with transformational, empowering, and authentic leadership, a negative (-) relationship with turnover intention, and mediated the relationship between leadership and turnover intention. Third, among the models explaining the relationship between each leadership, employee commitment, and turnover intention, the research model of transformational leadership, employee commitment, and turnover intention was found to be the most effective in increasing employee commitment and lowering turnover intention. This study is an empirical study comparing how transformational, empowering, and authentic leadership affect employee engagement and turnover intention of SME organizational members, and what the actual utility of leadership through employee engagement is by leadership type. Based on the above findings, academic and practical implications are presented.
Determine the Blood Group by using Image Processing and Machine Learning

In a life-or-death scenario, knowing someone’s blood type is crucial. Blood typing refers to identifying a person’s unique blood type. Identifying one’s blood type is a requirement for entry into some professions. Identifying a person’s blood type is crucial in several life-or-death circumstances, including blood transfusions, blood donations, roadside disasters, and other similar emergencies. In recent years, it has become more common to do these tests by hand in the lab. However, this can be time-consuming and lead to mistakes when dealing with large samples. The system’s primary goal is to provide results to multiple users quickly and precisely simultaneously. Parallel image processing system evaluates. Thus, this approach is beneficial for detecting blood type in an emergency case without any mistakes.
Building Trust Management using Blockchain Technology

For all parties involved in a logistics system, precise data and smart business operations are essential. However, a hurdle to implementation could be posed by a lack of shared trust. Supply chains experience difficulties as a result of a lack of confidence in data sharing, according to several studies. The degree to which each stakeholder has faith in the data they acquire can have a significant impact on management choices. The processing of bitcoin transactions has made extensive use of blockchain technology. It has recently been shown to be successful in building confidence within the Network of Things.By building trust between entities who would otherwise have been distrustful of each other’s data, blockchain technology permits more seamless and secure data sharing. However, businesses may encounter severe delays and the requirement for significant processing resources if the network is not IoT-optimized. Additionally, Traditional consensus algorithms still have severe limitations on the nodes’ ability to agree. Trust is one of the major concerns in blockchain technology and stands as a severe challenge presently. Confidentiality, privacy, data integrity, and scalability analysis can be identified as the main challenges presently.
Can we Trust Chatbots for now? Accuracy, reproducibility, traceability; a Case Study on Leonardo da Vinci's Contribution to Astronomy

Large Language Models (LLM) are studied. Applications to chatbots and education are considered. A case study on Leonardo's contribution to astronomy is presented. Major problems with accuracy, reproducibility and traceability of answers are reported for ChatGPT, GPT-4, BLOOM and Google Bard. Possible reasons for problems are discussed and some solutions are proposed.
<i>Mineral Identification Manual—Clues from Their Geologic Provenance</i> by George W. Robinson, Jeffrey R. Chiarenzelli, and Susan M. Robinson. Published as Mineralogical Association of Canada Educational Publication Volume 2. 198 pages; 2022; $55 from the Mineralogical Association of Canada, www.mineralogicalasso ciation.ca (spiralbound).

"Mineral Identification Manual—Clues from Their Geologic Provenance by George W. Robinson, Jeffrey R. Chiarenzelli, and Susan M. Robinson. Published as Mineralogical Association of Canada Educational Publication Volume 2. 198 pages; 2022; $55 from the Mineralogical Association of Canada, www.mineralogicalasso ciation.ca (spiralbound).." Rocks & Minerals, 98(3), pp. 291–292
Alteration and geochemistry of Clinkers in the San Juan Basin, New Mexico

Clinkers are the result of coal seam fires that alter adjacent strata into rocks with a generally red/orange, brick-like appearance.Coal seam fires burn at temperatures of over 500 degrees C, causing the surrounding rock and minerals within, to be altered, fused, or even melted.Clinker gets its name from the ringing sound it makes when struck, due to glassy, pyro metamorphosed minerals within the rock.Clinkers can be composed of various sedimentary rocks that were bedded with the coal seams during the burning process and include shales, claystone-s, and sandstones.These rocks impart different textures and affect the geochemical compositions of the clinker.Most underground coal fires that result in clinker are caused by wildfires, lightning strikes, or even heat from the oxidation of pyrite or marcasite contained in coal igniting exposed coal seams.Clinker is used as an aggregate in road construction, and is also used in glass production, refractories, and as a soil amendment.Chemical analysis of neighboring unburned coal deposits with a similar composition to the pre-burned clinker would provide insight into whether critical minerals including rare earth elements (REE) have been concentrated, depleted, or altered during the clinker formation.With the recent interest in charactering coal wastes such as ash for their critical mineral potential, trace element chemistry would show if clinkers could be a potential source of critical minerals.All of our samples are from the San Juan Basin in northwestern New Mexico as no clinker deposits are found in the Raton Basin.Comparing the REE profiles of clinker to standards such as average European shale show that the pyro-metamorphosis of coal and adjacent strata into clinker has not caused any significant variation in the concentration of REE.REE in clinkers range from 105-306 ppm total REE.Some samples contain elevated Fe 2 O 3 concentrations (>50%) as well as elevated P 2 O 5 (0.03-0.17%P 2 O 5 ) concentrations.compared to adjacent coal samples.P 2 O 5 correlates with the light REE such as lanthanum and cerium This correlation suggests that monazite, a light REE phosphate mineral could be present in the clinker in trace amounts.Only a small number of samples are currently available for analysis and petrographic study, additional samples are needed for more definitive interpretations.
Petrography and Economical Potential of Banded Iron Formation of the Neoproterozoic-Age Buem Formation, Ghana

Historically, Ghana has relied mostly on gold, bauxite, and manganese as the major contributors to the domestic economy.Further investigation into other minerals to transform the mining sector in Ghana focused on detailed geologic field mapping and sampling.The Buem Formation of eastern Ghana, previously unrecognized as a potential source for ore deposits, was found to host banded iron formation.Banded Iron Formations ('BIFs') are chemical precipitates characterized by the presence of alternating layers of iron-rich and amorphous silica-rich layers.The Buem Group comprises a complex series of metasedimentary, volcaniclastic, and volcanic rock units, including poorly-defined banded iron formation occurrences.This study reports our initial petrographic observations and economic assessment of the Gyamurume -Wawase Range, one of the host regions for BIF.Petrographic studies show that stratigraphic contacts between dominantly hematitic ferruginous horizons and siliceous strata are distinctly sharp and abrupt.Most hematite comprises micron-scale, irregular grains interstitial to granular, undulatory-extinction quartz; cross-cutting coarse quartz veinlets are barren of iron oxides.Although some BIF strata show former magnetite skeletal textures, even cm-scale ferruginous strata show only trace residual or relic magnetite.Initial studies of the mineralogical composition of Beum Formation BIF show that hematite is abundant, with nominal or no magnetite.No other silicate minerals are observed.Continued studies will assess the trace element contents of Beum Formation iron minerals, with emphasis on the P and Ti contents on hematite-dominant strata as a means of distinguishing low-contaminant, potentially economic horizons.
byteparsing: a functional parser combinator for mixed ASCII/binary data

Byteparsing is a functional parser combinator for Python.It was originally motivated by the problem of parsing OpenFOAM files.OpenFOAM 1 is a free, open source computational fluid dynamics software package whose input and output files contain both ASCII and binary data.Other common formats combining ASCII and binary are PLY triangle data or PPM images 2 .This makes them particularly hard to parse using traditional tools.Byteparsing is a flexible tool capable of dealing with generic formats.
Asymptotic Properties of a One-bit Estimator of Parametric Signals

&lt;p&gt;This paper considers an estimator of the parameters in a linear-in-the-parameter signal, based on its binary quantization. It shows an analysis of the systematic errors for growing lengths of the data set. It also shows how to express the cost function, when the minimum is reached. Zero-mean additive noise is assumed in the model, having independent outcomes. Furthermore, a method is introduced to validate the estimation process. Monte Carlo results validate the proposed analyses.&lt;/p&gt;
Backpropagation and F-adjoint

&lt;p&gt;This paper presents a concise mathematical framework for investigating both feed-forward and backward process, during the training to learn model weights, of an artificial neural network (ANN). Inspired from the idea of the two-step rule for backpropagation, we define a notion of F-adjoint which is aimed at a better description of the backpropagation algorithm. In particular, by introducing the notions of F-propagation and F-adjoint through a deep neural network architecture, the backpropagation associated to a cost/loss function is proven to be completely characterized by the F-adjoint of the corresponding F-propagation relatively to the partial derivative, with respect to the inputs, of the cost function.&lt;/p&gt;
An Indigenous Approach of Educational Leadership in Magar Community

This article is based on ethnographic study of the indigenous approach to educational leadership in formal and informal schooling in the Magar Community of Palpa. The study led ahead through a qualitative ethnographic study design that follows an interpretive approach. The population for this research was selected on the basis of judgmental sampling design. The tools we used for data collection was an interview, observation, and review of secondary source of data. We interviewed the three leaders of three Bhejas known also as Dhukuryas to understand how they provide educational leadership to their people in the modern context. The study found that the Magar community of people living in these parts of the country since a thousand years ago have their distinct, popular way of socio-cultural education leadership. This also concluded that the unique cultural leadership of these people is democratic, participative, honorary, based on system and values, and united. Chiefly, this study reports that the Magar community, as the indigenous people of Nepal have been practicing educational leadership culture that supports a new generation of people learning the culture, religion, language, society, and formal education management.
Fourth Industrial Revolution Tools to Enhance the Growth and Development of Teaching and Learning in Higher Education Institutions: A Systematic Literature Review in South Africa

The Fourth Industrial Revolution (4IR) has been the subject of discussion, and in most cases, it has been seen as a danger to jobs and conventional methods of doing things. Concerns over the preparation of the South African educational systems for 4IR have been raised as a result. Many industries still lack advanced understanding of 4IR, but the concept is already gaining ground in a variety of economic areas. As a result, academics, business professionals, and legislators are paying closer attention to 4IR. The researchers were inspired to look at how 4IR techniques were applied in South African higher education institutions to advance the growth and development of teaching and learning by this obvious knowledge gap. To investigate how 4IR technologies improve the growth and development of teaching and learning in South African higher education institutions, this study used a systematic literature review (SLR) methodology. A search procedure, research key words, inclusion and exclusion criteria, and quality assessments of chosen literature were used in conjunction with the SLR approach. This study found that some South African higher education institutions have successfully adopted 4IR technologies for virtual and contact instruction. The research further saw that academics and support staff utilised various 4IR tools. This is done through a virtual or hybrid classroom, artificial intelligence, and the internet of things, with different devices to send students messages, schedule Zoom classes, and provide feedback and educational resources. However, the study made some recommendations that academics can use to make sure that 4IR is effectively integrated to support the expansion and improvement of teaching and learning in higher education institutions. Future research directions were suggested, and the study came to the conclusion that South Africa could change the direction of the management of the education sector by implementing various 4IR tools in higher education institutions.
Cross-Perspective Human Behavior Recognition Based on a Joint Sparse Representation and Distributed Adaptation Algorithm Combined with Wireless Optical Transmission

Traditional human behavior recognition needs many training samples. Signal transmission of images and videos via visible light in the body is crucial for detecting specific actions to accelerate behavioral recognition. Joint sparse representation techniques improve identification accuracy by utilizing multi-perspective information, while distributional adaptive techniques enhance robustness by adjusting feature distributions between different perspectives. Combining both techniques enhances recognition accuracy and robustness, enabling efficient behavior recognition in complex environments with multiple perspectives. In this paper, joint sparse representation has been combined with distributed adaptation algorithm to recognize human behavior under the fusion algorithm, and verify the feasibility of the fusion algorithm through experimental analysis. The research objective of this article is to explore the use of the combination of joint sparse representation technology and distributed adaptive technology in the recall and accuracy of human detection, combined with the cross perspective human behavior recognition of wireless optical transmission. The experimental results showed that in the process of human detection, the recall and precision of the fusion algorithm in this paper reached 92% and 90% respectively, which are slightly higher than the comparison algorithm. In the experiment of recognition accuracy of different actions, the recognition accuracy of the fusion algorithm in this paper was also higher than that of the control algorithm. It can be seen that the fusion of joint sparse representation and distributed adaptation algorithms, as well as wireless communication light technology, are of great significance for human behavior recognition.
A COMPREHENSIVE STUDY ON STUDENTS' ESSAY WRITING SKILLS

The objective of this study was to investigate the essay-writing skills of students in Indonesian education institutions. A descriptive study approach was used to collect data from a group of students. Students were given three topics to choose from and were instructed to write academic essays within a certain time range. The student writings were gathered and scored using a scoring rubric that assessed several components of the essays. The data obtained were statistically analysed using descriptive analysis to describe the students’ essay writing skills. According to the findings of this study, the majority of students performed modestly on the writing test, with some performing better than others. The research found that the students struggled with organization and consistency, while their grammar and word usage still required to be improved. The study highlights the importance of enhancing students' writing skills to a higher level.&#x0D;
Gue, Saya, Aku, Kita: Person Deictic Comparison between Male and Female Indonesian Food Vloggers

YouTubers, content creators, or vloggers link in some way to influence their viewers. Therefore, the use of creative languages and a good linguistic approach is crucial to convey the content of the videos. Deictic expression is a common and a universal feature in regular conversation as well as in written productions. Deixis features a word or a phrase that points out people as person deixis, time as temporal deixis, or place as spatial deixis. This study analyzes and compares the use of person deictic expressions from six videos taken from three Indonesian male food vloggers and three Indonesian female food vloggers who have the most subscribers. The findings show that there is a difference between Indonesian male and female food vloggers. While Indonesian male food vloggers are mostly use informal person deictic expression gue (English: I, informal style), Indonesian female food vloggers use formal-polite person deictic expression aku, saya (English: I, formal style). They also use kita (English: inclusive-we) to minimize the distance between them and the viewers, indicating that they are having the same experiences. The findings could help the readers and the YouTube viewers to understand the function of person deictic expression that is to place the food vloggers at the center of the situation
Predicting Reading Fluency Growth from Grade 2 to Age 23 with Parental and Child Factors

PurposeReading fluency establishes the basis for strong literacy skills needed for academic success. We aim to trace how reading fluency develops from childhood till adulthood and identify factors that influence this development. MethodApproximately 200 Finnish families participated in the study. The dataset included children’s reading fluency assessments (in Grades 2, 3, and 8 and at age 23), their self-reports, and parental questionnaires. For data analysis, a latent growth curve model that included cognitive, motivational, and parental predictors was constructed.ResultsSignificant variations in both developmental rates and adult outcomes of reading fluency were found. The developmental rate was predicted by rapid automatized naming (RAN), letter knowledge and the formal home literacy environment (HLE) (measured in kindergarten), and reading motivation (measured in elementary school). The adult outcome (fluency at age 23) was predicted by RAN, letter knowledge, the formal HLE, and parental dyslexia. Further, those who had parents with resolving reading difficulties were more likely to follow a resolving trajectory themselves compared with those whose parents had persistent reading difficulties. ConclusionOur findings offer novel insights into how reading fluency develops into adulthood and identify key areas for future research to better understand the mechanisms behind reading fluency development.
Basic English: A Module for Indonesian EFL Tutor and Learner

This module is created in order to assist Indonesian EFL tutors or teachers and learners to study basic English. The lessons are authentically designed for those require to study English for the first time or known as learning English from zero. This module was created and developed by an English tutors, Ahmed Sardi and Friends, since they taught English in English short course for University students who learnt English as a foreign language.
VRM-FRAME: Brief Presentation of the Design &amp;amp; Implementation of a Virtual Museum Framework

Despite the growing interest on virtual museum exhibitions and the availability of easy-to-use platforms it appears that these solutions are not able to support custom interactions. Given the aforementioned, the need for a framework that can support custom virtual museum exhibitions arises and its design and implementation characteristics are briefly presented here.
Boolean-Based Probability: The Case of a Vector-Weighted Voting System

Boolean-based probability is the paradigm of formulating and manipulating probability problems in the Boolean domain so as to obtain the probabilities of given events as expectations of indicator variables of these events. This paper is a brief exposition of Boolean-based probability and a demonstration of its techniques in terms of a vector-weighted voting system that involves a large number of variables. Symmetry considerations as well as the availability of quadratic-time algorithms for k-out-of-n probability evaluation are key elements in accomplishing successful efficient handling of this system. A symbolic solution is obtained for the probability that this system upholds a certain decision in terms of the probabilities that the decision is supported by the individual voters within the system. This symbolic solution is utilized in a switching-algebraic proof that the dimension of the voting system considered is exactly two.
Educational Perspective: AI, Deep Learning, and Creativity

Can artificial intelligence (AI) teach and learn more creatively than humans? The article analyses deep learning theory, which follows a deterministic model of learning, since every intellectual procedure of an artificial agent is supported by concrete neural connections in an artificial neural network. Meanwhile, human creative reasoning follows a non-deterministic model. The article analyses Bayes’ theorem, in which a reasoning system makes judgments about the probability of future events based on events that have happened to it. Meillassoux’s open probability and M. A. Boden’s three types of creativity are discussed. A comparison is made between the a priori algorithm of the Turing machine and a playing child, who invents new a posteriori algorithms while playing. The Heideggerian perspective on the co-creativity of humans and thinking machines is analyzed. The authors conclude that humans have an open horizon for teaching and learning, and that makes them superior with respect to creativity in an educational perspective.