Reviewerly/exHarmony huggingface dataset:
Characterizing Permeability from Geological and Geochemical Data in the Olkaria Domes Field in Kenya

Olkaria geothermal field is located in the Kenyan Rift Valley that is a part of the Great East Africa Rift System (EARS). The geothermal field continues to be associated with a high geothermal gradient that arises from shallow magmatic activities which are ongoing in the enormous igneous province. Exploration and drilling of wells that were undertaken in the past revealed the existence of exploitable geothermal steam. The Olkaria field is divided into seven sections namely; Olkaria East field, Olkaria North East field, Olkaria North West field, Olkaria South East field, Olkaria South West field, Olkaria Central field, and Olkaria Domes field. The productivity of the geothermal wells continues to be influenced by factors such as subsurface permeability. Permeability is one of the parameters used for the characterization of geothermal fields. Other parameters used for characterization are associated with geotechnical weak zones and include features such as; fractures, vein bodies, and deformational fault systems. The research work involved geoscientific characteristics of the Olkaria Domes field based on the geological and geochemical factors to characterize the permeability of the field. The research involved studying rock types in the area by analysing drill cuttings obtained from six drilled wells in the Olkaria Domes field. Three of the six drill wells were considered for correlative description for the purpose of this paper. Correlation of the main lithologies and zones for loss of circulation in the field was also undertaken as well as the creation of mineralogical maps to capture the distribution of the minerals that were derived from hydrothermal weathering processes. The depths and formation for major loss circulation zones in the reservoir section of the field were identified and included in the description. Analysis of soil gas survey using radon as a geochemical tool in the Domes field was also carried out successfully. The relatively high levels of the soil gas ratios that were analysed captured the ratio distribution of carbon dioxide to radon at various reservoir depths. The detection of the two gases at the surface showed the existence of permeable zones which facilitated the movement of the gases through the fault-controlled structural systems of the studied Olkaria Domes field.
The Logical Pragmatics of Arguments in Argumentation

Logic is understood so far as a product perspective, either formal or informal. The topic is still, though interesting, imprecise, sketchy and problematic. Besides, the relevance of logic to linguistics has not been explained. This research focuses on dealing with logic as a product and a process. It introduces how logic is relevant to understanding language. Logic is surely not irrelevant to real human language. In this research, we coin 'logical pragmatics' to refer to "the structure of an argumentation and its parts used by the speaker for the purpose of persuasion to have an effect in the addressee and passive audience”. As such, the research mainly aims at providing a definition of "logical pragmatics" as well as developing an ideal model for it. To accomplish this aim, the research studies what this approach entails and the relevance of logic and pragmatically oriented contributions to the field of argument and argumentation. The study mainly concluded that in real communication, simple logical relations become very complex and part of a wider context where we have a speaker's communicative intention, a hearer's communicative inference, and context.
Formation of pedagogical university students’ readiness for professional self-education

The relevance of the research subject is determined by the higher-education modern requirements to students’ (future teachers’) readiness for professional self-education. One of the conditions for its formation is the use of interactive teaching methods in educational and professional activities, that provide for formation of due skills and abilities connected with professional self-education, as well as monitoring the level-indicator dynamics of pedagogical university students’ readiness for professional self-education. The research was carried out on the basis of the Branch of Omsk State Pedagogical University in Tara (N=80), with the use of the methods: “Assessment of the ability to self-development, self-education” (V.I. Andreev), “Readiness for self-development” (V. Pavlov), “Assessment of development level of student’s readiness for self-education” (O.N. Inkina) and the uniquely designed questionnaire “Knowledge of self-education basics”. The reliability of obtained data was verified using the χ2 Pearson’s test. The interactive teaching methods (case studies, projects, research methods, discussions, methods for formation of future teachers’ reflexive position, etc.) that provide for formation of self-educational competence are included in the content of lectures and seminars under the course “Pedagogy” which aims to develop the bachelor’s basic professional competence by forming theoretical knowledge, cognitive and research skills of future pedagogues. Based on the comparative analysis of empirical data and statistical analysis, positive dynamics was ascertained as well as reliable increment of level indicators’ values for all criteria towards formation of students’ (future teachers’) readiness for professional self-education: motivational (p≤0.01), cognitive (p≤0.05), pragmatist (p≤0.05), reflexive (p≤0.01). The obtained results confirm the hypothesis that systematic inclusion of interactive teaching methods in the content of professional disciplines contributes to the formation of students’ readiness for professional self-education.
A SURVEY ON IMAGE PROCESSING TECHNIQUES FOR MOTION DETECTION IN VIDEO SURVEILLANCE SYSTEM

Video surveillance is a normal security procedure in the living environments nowadays due to the requirement of continuous cost effective automatic monitoring necessity for the safe and peaceful life structure. The identification and detection of moving persons or objects is a tedious process with the optimal accuracy in dimensions and validity. The essential and required improvements in the entire methodology critically depend upon the image processing approaches with effective care on the image frames. For this goal Image processing plays a vital role in order to handle the video data in proper way for analysis and prediction of performances for the improvement of motion detection in video surveillance system domain results. This paper presents a survey on motion detection analysis for video surveillance system. KEYWORDS—Image processing, Motion detection, Video surveillance, Prediction, Performance
Returning to Nothing: The Lost of Malay Settlement in Pasir Mas, Kelantan.

Natural calamities such as earthquakes, landslides, windstorms, and floods are considered disasters according to the degree of disruption they caused to the human population, built environment, or natural ecosystem. Natural disasters are a common occurrence in rural settlements of Malaysia, affecting the lives of the rural population and damaging the rural settlements, agriculture, roads, drainage schemes, and other infrastructure. This threat continues to exist, and disasters are still wreaking havoc in rural areas. However, this disaster is compounded by the current rate of urbanization in the region. Human life conjures a spatial location due to the unique combination of movement and strength that characterizes humans. Humans, unlike trees, are not stationary; yet they require more manmade shelters than other animals, and communities. Humans, in particular, share their space. A loss narrative defines today's place literature: specifically, the loss of the correct link between place and meaning (Cox, 1968; Lynch, 1972; Jacobs Appleyard, 1987; Kunstler, 1993). Simultaneously, this article aims to investigate the disappearance of Malay settlements and discuss some of the implications. In February 2021. a landslide event took place in Pasir Mas, Kelantan. It is an area where researchers used to spend their youth. The objective of this article is to provide a perspective on the disappearance of Malay settlement by studying two theories, namely natural calamity and Malay settlement. The entire idea of this article is the transformation of the components of place characterized by the narrative of loss has enormous planning and design implications, two of which are central here: firstly, the emergence of geographies of place, and secondly, the loss of Malay culture crisis.
IMPLEMENTASI MODEL BLENDED LEARNING DENGAN MEDIA WHATSAPP PADA SISWA KELAS IV MI TARBIYATUS SHIBYAN

Blended Learning is a learning model that combines two different learning models, namely face-to-face learning with learning using technology (online or offline). The learning model was made one of the alternative avenues applied at MI Tarbiyatus Shibyan during the Covid-19 era to provide opportunities for students to learn through technology-based learning without leaving face-to-face learning, considering that continuous learning online by utilizing technology is deemed less effective and not can be fully successful for MI age children, because they still need direct interaction from the teacher in understanding the material. Thus, the authors are interested in knowing the extent to which the blended learning model has been implemented using the WhatsApp media, because the whatsapp media is a learning medium that is easy to use in the learning process. This research uses descriptive qualitative research, data obtained through observation, interviews and documentation related to the application of the blended learning model at MI Tarbiyatus Shibyan.
Mouse Cursor Control System using Eye Gaze and Detection of Eye Opening and Closing

It is necessary to support of computer operation for a physically disabled person.One of the possible physical movements of the physically disabled person is Eye movement.Eye gaze and detection of eye opening and closing of a person makes it possible to operate a computer.In our system, a web camera, Gaze pointer, dlib C++ library and OpenCV library are used to recognize eye gaze and detect eye opening and closing.Changing the eye gaze, we can move a mouse cursor.Recognizing closed eye, we can carry out an operation of mouse click.In this paper, we evaluated the effect on operability due to the eye gaze and detection of eye opening and closing.
Book review for a book by M. Haschke, J. Flock, M. Haller “Laboratory Applications of X-ray Fluorescence”, Wiley. 2021, 464 pp., 263 illustrations.

The use of X-ray fluorescence analysis (XRF) has been constantly expanding in recent years. The number of users without special training is increasing. This paper provides information on the monograph by M. Haschke, J. Flock, and M. Haller “Laboratory Applications of X-ray Fluorescence”. The book was published by Wiley-VCH. The book under review was written by experts with extensive experience in XRF. The authors made a significant contribution to the development of X-ray fluorescence analysis. The book consists of a Preface, a List of abbreviations and symbols, Information about authors, an Introduction, 18 Chapters, two Appendixs (A - Tables, B - Important information), a References and an Index. The material of the book in the review is discussed chapter by chapter. The book presents various sample preparation procedures that are typical for XRF and discusses their impact on the precision and accuracy of the analysis. The main types of X-ray spectrometers, as well as the design, construction and features of the operation of individual components of the devices are considered. The main techniques for measuring and evaluating X-ray spectra are discussed, and the metrological characteristics of XRF are compared with other analytical methods. In full accordance with the title of the book, the authors paid the main attention to the discussion of options for solving various analytical problems using XRF. Homogeneous and heterogeneous, solid and liquid materials, application in geology, ecology, biology, industrial enterprises, research laboratories in the study of objects of heritage are considered. It should be noted the presence in the book of the Appendix “Important information”. Prepared by the authors, a modern high quality reference guide will be useful for both beginners and qualified professionals. A clear presentation of the material allows us to recommend it as a teaching aid for students and undergraduates. It seems that the book will be in demand in the laboratories of research institutes and universities, as well as in the laboratories of industrial enterprises.
Using Pixton to Improve Students’ Creativity on Creating Dialogue

Pixton is an interesting comic creation site that can for the teacher and the students on creating dialogue during the teaching and learning process. This research was aimed at revealing the use of Pixton to improve students’ creativity on creating dialogue. This is a descriptive study in which the data from the field was analyzed descriptively. One teacher and three students participated in this research. To investigate the use of Pixton whether it affected the positive roles or not, observation and interview were used. The observation showed that the teacher gave the procedure in using Pixton clearly and the students understand it easily. On the other hand, the interview provided a result that a teacher and a student some ideas about Pixton such as can improve the creativity, easy to access, enjoyable application, etc. Furthermore, there are some, using Pixton also as a way to create a dialogue efficiently and effectively.
Correction

This article refers to:Involving primary school students in the co-construction of formative assessment in support of writing
Study of Handwriting Recognition Implementation in Data Entry of Survei Angkatan Kerja Nasional (SAKERNAS) using CNN

The use of Paper and Pencil Interviewing (PAPI) at BPS requires manual data entry that cannot be separated from the human ability to recognize handwriting. For computers, handwriting recognition is complex work that requires complex algorithms. Convolutional Neural Network (CNN) is an algorithm that can accommodate the complexity of handwriting recognition. This research intends to conduct a study on the implementation of the handwriting recognition model using CNN in recognizing handwriting on the PAPI questionnaire in data entry activities. Handwriting recognition model was built using the EMNIST dataset separately according to its character type and provides 89% accuracy for characters in the form of letters and numbers, 95% for characters in the form of letters, and 99% for characters in the form of numbers. Implementation of the handwriting recognition on the questionnaire image shows good results with 83.33% accuracy. However, there are problems found in the process of character segmentation where characters are not segmented correctly because the line of writing continues on the character that should be separated and disconnected characters when they should be joined. The result obtained in this study is expected to be a consideration regarding the entry method data used by BPS later.
Development of text extraction technique using optical character recognition and morphological reconstruction to eliminate artifacts of image’s background

Text recognition of images is beneficial in a wide range of computer vision purposes such as robot navigation, document analysis, and image search. The optical character recognition (OCR) technique presents a simple tool to combine text recognition functionality to many industrial and educational applications. Best OCR results can be acquired when the background of the text image is uniform and appears as a document picture. In contrast, the challenges to recognizing accurate texts occur when the image has a non-uniform background that require further preprocessing to obtain acceptable OCR result. This work discusses three scenarios. Initially, this work will test the OCR on a normal business card as an image with a uniform background. Next, discusses the text recognition of a keypad image including digits with a non-uniform background. Here, there are two preprocessing algorithms used to enhance the OCR function to overcome the negative effect of the non-uniform background of images and to detect text with high accuracy. Finally, the developed OCR method is tested on different scanned bills and discusses the variation of the obtained results. The two algorithms are the morphological reconstruction to eliminate artifacts and create cleaner images to be further processed by OCR and the Region of Interest ROI-based OCR to spot explicit regions in a tested image. Verification for the effectiveness of the Morphological-based OCR over the ROI-based method has been conducted on a dataset of scanned electricity bills images with an accuracy of 98.2 % for Morphological-based while it is only about 89.3 % for ROI-based OCR.
The Dynamics of Minority versus Majority Behaviors: A Case Study of the Mafia Game

The game ‘Mafia’ is a logic puzzle that has been a top-rated party game played worldwide. Many studies have been dedicated to determining the best character combination to keep players engaged while analyzing the overall death toll. Although it has only two-sided plays, there are multiple combinations of characters in which each character’s rules are different. This paper explores the game’s sophistication using the game refinement theory and motion in mind model while measuring the entertainment of each character’s actions. It then focuses on the dynamics of minority versus majority behaviors during the game process. Computer simulations were conducted to collect the data of each character and assess the entertainment impacts. Moreover, the energy value of each character was computed based on the motion in mind model. The results show that when the number of ‘Mafia’ and the number of ‘Sheriffs’ are equal, the sophistication of each character is maximized. In addition, the data indicates the player engagement in the following order: Mafia&gt;Sheriff&gt;Citizen. Thus, it can be concluded that the actions of the Mafia character are the most complicated and significantly impact the game. It is expected that the results in this study enable game designers to improve each character’s perspective and examine possible enhancements from the viewpoint of entertainment.
Rajabhat University Development Model for Becoming an Entrepreneurial University

This research aimed (1) to study the level of development factors of Rajabhat Universities in the northeastern region affecting an entrepreneurial university; (2) to study the level of characteristics of entrepreneurial universities in the Northeastern region; (3) to study the factors of development of Rajabhat University in the Northeastern region that affect to being an entrepreneurial university; and (4) to propose a model for the development of Rajabhat University in the northeastern region into an entrepreneurial university. The population of the study was the administrators and personnel of the Rajabhat University of Thailand. The sample size of the study was three hundred and sixty respondents. The statistical analysis of the research was done using descriptive analysis and multiple regression analyses. The results showed that (1) the mean values of development factors variable and characteristics of an entrepreneurial university were high; (2) development factors that influenced the characteristics of an entrepreneurial university were organizational strategy and structure, system, shared value, politics and policies, economics, and environment; and (3) when arranging the importance of development factors that clearly affected the university, it was found that organizational strategy was the most important, followed by shared values, systems, and organizational politics and policies. This study suggests that the administrators of Rajabhat Universities of Thailand should focus on the development factors that are of high importance such as corporate strategy, shared values, politics, and organizational policies. This will eventually lead to a successful development towards an entrepreneurial university in the future. &#x0D; &#x0D; Received: 7 November 2021 / Accepted: 7 January 2022 / Published: 5 March 2022
Vertically Integrated Pathway for Infusing Engineering Technicians with Industrial Cybersecurity Competencies

This paper describes an effort to establish a vertically integrated pathway to identify and develop industrial control systems cybersecurity talent that extends from middle school to graduate degrees, leveraging the unique strengths of career and technical education. Educators and administrators seeking to ignite student interest in cybersecurity at a young age, and to provide a clear curriculum pathway to meet employer needs in the field of industrial cybersecurity may find this effort of use.
The Relationship between Student Learning Behavior and online Course Receptivity Evaluation: The Moderating role of Teacher Guidance

The rapid rise of online open courses has become a new teaching trend, which has improved the level of education informatization and satisfied students' individualized learning needs. Taking 465 learners participating in the online course learning of Treenity platform as subjects, the paper analyzed the present situation and characteristics of online learning behaviors, course receptivity evaluation, and teacher guidance, as well as their relationships. The moderation effect of teacher guidance in the relationship between learning behaviors and course receptivity evaluation was also discussed. The results showed that: students have a higher recognition rate for teacher guidance and course receptivity evaluation in online course teaching. The number of logins per person was high, but the completion rate of online courses was low. In addition, the number of logins per person can negatively predict course receptivity evaluation, and teacher guidance had a positive moderation effect; the online course completion rate can positively predict course receptivity evaluation, and teacher guidance had a negative moderation effect. Finally, suggestions and enlightenment were provided for online teaching, as well as the operation and management of online courses.
Pengembangan Aplikasi Pelaporan dan Pengumuman Orang Hilang Berbasis Android (SI CAKAP)

Fire is a frequent disaster, especially in tropical climates. Factors causing fires that often occur are intentional and human negligence. When fires occur, fires often get out of control and spread in the direction of global warming, climate change, landslides, and floods, causing harm to the environment. Because it is difficult to analyze the size of the fire when a fire occurs, therefore with the development of technology and sophistication, it is now possible to know the position of the fire and the thickness of the smoke in a fire using digital images. Image is another term for image as a multimedia component that plays a very important role as a form of visual information. This study aims to segment the fire image by separating 2 images, namely fire and smoke to determine the position of the fire and the thickness of the smoke in the fire. The fire and smoke segmentation research uses the K-means clustering method using the Matlab application. The stages carried out in this research include the Image Input Process, Converted Original Image to Binary, Threshold Conversion Segmentation, Image Segmentation Process. The image segmentation process for the fire and smoke fire images succeeded in separating the fire and smoke objects with a value of T3 = 61. The smoke and fire objects were in the matrix coordinates [50:100,300:200].