Reviewerly/exHarmony huggingface dataset:
Calibration-free and deep-learning-based customer gaze direction detection technology based on the YOLOv3-tiny model for smart advertising displays

ABSTRACTBecause of the COVID-19 pandemic, gaze tracking for nontouch user interface designs used in advertising displays or automatic vending machines has become an emerging research topic. In this study, a cost-effective deep-learning-based customer gaze direction detection technology was developed for a smart advertising display. To achieve calibration-free interactions between customers and displays, the You-Only-Look-Once (YOLO)-v3-tiny-based deep learning model was used for determining the bounding boxes of eyes and pupils. Next, postprocessing was conducted using a voting mechanism and difference vectors between the central coordinates of the bounding boxes for effectively predicting customer gaze directions. Product images were separated into two or four gaze zones. For cross-person testing, the Recall, Precision, Accuracy, and F1-score for two gaze zones were approximately 77%, 99%, 88%, and 87%, respectively, and those for four gaze zones were approximately 72%, 91%, 91%, and 79%, respectively. Software implementations on NVIDIA graphics-processing-unit-accelerated embedded platforms exhibited a frame rate of nearly 30 frames per second. The proposed design achieved real-time gaze direction detection for a smart advertising platform.CO EDITOR-IN-CHIEF: Yuan, Shyan-MingASSOCIATE EDITOR: Yuan, Shyan-MingKEYWORDS: Deep learningYOLOv3-tinyintelligent systemssmart displaysnontouch user interface designgaze direction detectioncalibration-free Nomenclature UL=the gaze state estimated at the upper left directionUR=the gaze state estimated at the upper right directionDL=the gaze state estimated at the down left directionDR=the gaze state estimated1 at the down right directionC_pupil=the central coordinate position of the right or left pupilC_eye=the central coordinate position of the right or left eyeV_d=the difference vector between two central coordinate positionsX1=the central coordinate position of X-axis of the pupil’s bounding boxY1=the central coordinate position of Y-axis of the pupil’s bounding boxX2=the central coordinate position of X-axis of the eye’s bounding boxY2=the central coordinate position of Y-axis of the eye’s bounding boxTN=the number of true negative casesTP=the number of true positive casesFN=the number of false negative casesFP=the number of false positive casesF1 Score=it is a measure of a test’s accuracy by using 2×Precision×Recall/(Precision + Recall)mAP=it is a metric used to measure the performance of models doing object detection tasksDisclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was financially supported by the Ministry of Science and Technology (MOST) under Grant No. [109-2218-E-005-008].
Pengaruh Pop Up Book Pakaian Adat Tradisonal Minangkabau terhadap Kemampuan Menyimak pada Anak Usia 5-6 Tahun di Taman Kanak- Kanak Aisyiyah 1 Bukittinggi

This study aims to analyze the influence of pop up books on traditional Minangkabau clothing on the listening skills of children aged 5-6 years at the Aisyiyah Bukittinggi kindergarten. The research method that will be used in this research is Quasi Experiment. The population in this study was Aisyiyah 1 Bukittinggi Kindergarten. The sampling technique in this study used cluster sampling. Based on pre-test and post-test data, the average gain score for the experimental class was 17.67. Meanwhile, the average gain score for the control class was 12.73. Thus there is a significant difference between the control class and the experimental class. So it can be concluded that Ha is accepted and Ho is rejected. The research results show that the use of the Pop Up Book media experimental method, Minangkabau Traditional Clothing, has an effect on the listening skills of young children.
A New Texture Spectrum Based on Parallel Encoded Texture Unit and Its Application on Image Classification: A Potential Prospect for Vision Sensing

In industrial applications based on texture classification, efficient and fast classifiers are extremely useful for quality control of industrial processes. The classifier of texture images has to satisfy two requirements: It must be efficient and fast. In this work, a texture unit is coded in parallel, and using observation windows larger than 3×3, a new texture spectrum called Texture Spectrum based on the Parallel Encoded Texture Unit (TS_PETU) is proposed, calculated, and used as a characteristic vector in a multi-class classifier, and then two image databases are classified. The first database contains images from the company Interceramic®® and the images were acquired under controlled conditions, and the second database contains tree stems and the images were acquired in natural environments. Based on our experimental results, the TS_PETU satisfied both requirements (efficiency and speed), was developed for binary images, and had high efficiency, and its compute time could be reduced by applying parallel coding concepts. The classification efficiency increased by using larger observational windows, and this one was selected based on the window size. Since the TS_PETU had high efficiency for Interceramic®® tile classification, we consider that the proposed technique has significant industrial applications.
Everyday media literacy an analog guide for your digital life <b>Everyday media literacy an analog guide for your digital life</b> , by Sue Ellen Christian, New York, NY, Routledge, 2023, 309 pp., £38.65 (eBook), ISBN 9781003247029

"Everyday media literacy an analog guide for your digital life." The Social Science Journal, ahead-of-print(ahead-of-print), pp. 1–2 AcknowledgmentsI express my deepest gratitude to the Education Fund Management Institute (LPDP/Indonesia Endowment Fund for Education) under the Ministry of Finance of the Republic of Indonesia and deepest gratitude to the author’s mentor at Research Classes Compass (RCC).Additional informationFundingThe work was supported by the Lembaga Pengelola Dana Pendidikan.
KD-Net: Continuous-Keystroke-Dynamics-Based Human Identification from RGB-D Image Sequences

Keystroke dynamics is a soft biometric based on the assumption that humans always type in uniquely characteristic manners. Previous works mainly focused on analyzing the key press or release events. Unlike these methods, we explored a novel visual modality of keystroke dynamics for human identification using a single RGB-D sensor. In order to verify this idea, we created a dataset dubbed KD-MultiModal, which contains 243.2 K frames of RGB images and depth images, obtained by recording a video of hand typing with a single RGB-D sensor. The dataset comprises RGB-D image sequences of 20 subjects (10 males and 10 females) typing sentences, and each subject typed around 20 sentences. In the task, only the hand and keyboard region contributed to the person identification, so we also propose methods of extracting Regions of Interest (RoIs) for each type of data. Unlike the data of the key press or release, our dataset not only captures the velocity of pressing and releasing different keys and the typing style of specific keys or combinations of keys, but also contains rich information on the hand shape and posture. To verify the validity of our proposed data, we adopted deep neural networks to learn distinguishing features from different data representations, including RGB-KD-Net, D-KD-Net, and RGBD-KD-Net. Simultaneously, the sequence of point clouds also can be obtained from depth images given the intrinsic parameters of the RGB-D sensor, so we also studied the performance of human identification based on the point clouds. Extensive experimental results showed that our idea works and the performance of the proposed method based on RGB-D images is the best, which achieved 99.44% accuracy based on the unseen real-world data. To inspire more researchers and facilitate relevant studies, the proposed dataset will be publicly accessible together with the publication of this paper.
INTERNET OF THINGS-ENABLED FRAMEWORK FOR GULA APONG INDUSTRY

The agri-food sector is now moving towards modernization by using the Internet of Things (IoT) to meet the growing demand. Therefore, the aim of this research work is to design an IoT-enabled framework to assist the gula apong industry and supply chain to enhance rural economic development. This includes IoT devices, network protocols, data processing, platforms, and user interfaces to support gula apong producers and other stakeholders. This research can be a starting point to create an IoT-enabled framework to help the gula apong industry bridge the supply-demand gap by ensuring high yield, profitability, and environmental protection while improving the lives of local communities by providing sustainable services.
Development of Quizwhizzer-Assisted Educational Game-Based Learning Evaluation Tools in Informatics Subjects in Junior High Schools

This study discusses how the process of development, validity testing and practicality testing of educational game-based learning evaluation tools on the subject matter of informatics materials Information Technology and Communication at the State High School 39 Padang. This type of research is Research and Development (R&amp;D). (Analysis, Design, Development, Implementation, and Evaluation). The study conducted validity tests with 3 experts and the number of students practicality tests as much as 20 people. The results of the research showed that Quizwhizzer's educational game-based learning evaluation tool is worthy of use. From the data the validity of media expert 1 was 95.2%, media expert 2 was 97.6%, material expert 95.2, and the test results of 86% in the category “Very Practical”. It can be concluded that the evaluation tool based on educational games with Quizwhizzer in computer science subjects is worthy of use in the class VIII of SMP N 39 Padang.
Students Self-Directed Learning Using Blended Learning On Reading Subject In Higher Education

Abstract. This study aimed to measure self-directed learning using blended learning in the reading subject in higher education. The researcher employed the descriptive method with a quantitative approach. Self-directed learning was the sole focus of the investigation. In line with Williamson, S. N., five aspects were to measured self-directed learning: awareness, learning strategies, learning activities, evaluation, and interpersonal skills. The researcher acquired data on self-directed learning through a questionnaire. The study's population comprised English students at Universitas PGRI Sumatera Barat during the 2022 academic year, totaling 55 students. Employing purposive sampling, the entire population of 55 students was included in the sample. Upon analyzing the collected data using SPSS 22, the researchers employed the percentage formula to ascertain the students' score distribution. The findings indicated a noteworthy 76% overall score, signifying a high level of self-directed learning. These outcomes suggest that students at Universitas PGRI Sumatra Barat exhibited robust traits of responsibility, persistence, self-control, discipline, and effective learning strategies.
Synergies and Challenges: Integrating Machine Learning, Blockchain Technology, and Regulatory Frameworks in Biomedical Cybersecurity

This study explores the integration of machine learning, blockchain technology, and regulatory frameworks in biomedical cybersecurity. It highlights the potential of machine learning in enhancing biomedical device and healthcare information system security, while blockchain technology is crucial for ensuring security, integrity, and privacy in healthcare data management. The study also examines the global regulatory framework for biological cybersecurity, identifying challenges, gaps, and best practices. The analysis includes case studies, effective integration strategies, and future research directions. The report concludes with a synthesis of best practices and suggestions, offering valuable insights for policymakers, healthcare practitioners, and technology developers in the field of biomedical cybersecurity.
The role of knowledge management capabilities in the components of the response characteristic of supply chains: a field study in the Traffic Directorate of Nineveh Governorate

The aim of the research was to diagnose the role that knowledge management capabilities (operations and infrastructure) contribute to the response of supply chains with their various components (the response of the operations system, the response of logistics operations, the response of the network of processors), the Traffic Directorate in Nineveh Governorate was the research field chosen for the Applied side of the research, and the research community was represented by the employees of this Directorate, and a random sample of the research community was selected intentionally from the research community who work directly in providing services for issuing official documents to citizens (issuing and renewing market the questionnaire was the main tool in data collection, as (100) forms were distributed, (91) of which were retrieved valid for analysis, the descriptive analytical approach was also adopted in the research, and the statistical software (Smart PLS 4) was employed, including some statistical tests in testing research hypotheses, and one of the most prominent results of the research was the presence of different levels of influence exerted by the variables lying in this research in the approved variables.
Robert Maribe Branch

Robert (Rob) Maribe Branch is a well-known and respected leader within the organization and the Instructional and Learning Technology discipline and the Association for Educational Communications and Technology (AECT). He served as the President of AECT in 2015. He is known for his work on the Educational Media and Technology Yearbook and the popular text Survey of Instructional Design Models.
A Systematic Review: Comparison between result of USG Examination and FNAB Examination in Breast Tumors

Introduction: Cancer is a type of disease non-infectious which the incidence rate has trend of increasing every year WHO data in 2010 mentioned that cancer ranks number two as the cause most deaths, are under the disease cardiovascular. More than 80% of breast cancer cases in Indonesia was diagnosed at an advanced stage so the morbidity and mortality rates become higher. Ultrasonography (USG) of the breast generally used for inspection example cyst breast, and the shape of the cyst for breast abnormalities. FNAB is a fine needle biopsy examination and is a preoperative diagnostic tool for breast lesions. Anatomical histopathology is the gold standard for the diagnosis of breast malignancy. Objective: To find out the differences and compare the results of breast tumor examination using ultrasound and FNAB examination Method: This study uses a type of literature review study a Narrative Review design. The method used in the process of using the ultrasound, it can be seen that the gray scale ultrasound examination has a sensitivity of 75-94.4% and a specificity of 18.8-81.8%. Result and Discussion: While PPV 48-95.6%, NPV 42.8-95.7%, and 46.9% accuracy and fine needle examination also has varying accuracy criteria. Its show a sensitivity of 86.7%- 93,4% Specificity 95,7% -100%. Conclusion: Fine Needle Aspiration examination has better specitifity than ultrasound examination.
Correction of anxiety as a fear factor in junior students of medical institutions of higher education (for example the Donetsk National Medical University)

The study of the levels of personal and situational anxiety of junior medical students of the Donetsk National Medical University (Lyman, Ukraine), whose adaptation process has certain features determined by personal, social and economic and emotional factors are considered in this article. The essence of anxiety and its levels, rational and emotional approach, which was the basis of the proposed psychocorrective program to reduce anxiety levels in medical students are revealed. It has been proven that junior year students of medical institutions of higher education may experience stress due to regarding the high requirements for them as future doctors. The feeling of inner anxiety and tension in an uncertain and stressful situation can greatly interfere with them both during university studies and in the performance of professional duties. Therefore, it is important to correct the anxious state of medical students in order to eliminate in the future the appearance of professional fears due to constant anxiety in professional activities. It was found that the most influential factors in the development of a high level of anxiety in medical students of the 1st and 2nd years are frequent stress factors and significant tension during studies, which indicates the urgent need for psychological preparation of applicants to study at a medical university, and during the first years of study, conducting social-psychological trainings and psychocorrections such as positive inner speech and self-suggestion, fitback or art therapy. The practical recommendations for the formation of self-esteem by medical students based on successes both in personal life and at work are also provided in this article. It is worth stimulating the future doctor to address the question and fight with his own negative self-esteem and show him how to think from a scientific point of view, evaluate his behavior objectively and how to stop giving himself an assessment only in case of failure.
Ethno-Cultural Analysis of Identity Formation in the Process of Pedagogical Communication

Introduction . Constant communication creates a favorable environment conducive to the formation of personality through respect for nations and nationalities, their cultures. At the same time, in a multinational team, the specificity of various cultures and traditions, the bearers of which are included in this team, finds its manifestation. Materials and methods . Scientific research includes the application of descriptive and comparative-historical methods of scientific research, method of observation, scientific methods of analysis and synthesis of the obtained data, dialectical and hermeneutical methods. The object of the study is the values of the cultures of different peoples. Results . According to the authors, not all members of the collective are capable of correctly perceiving a person’s attitude towards a particular nationality, which depends to a greater extent on personal experience with representatives of that nationality. This experience can be not only positive, but also negative: one-sided assessments, absolutisation of certain features depending on personal sympathies and antipathies are possible. Discussion and conclusion . Pedagogical communication is that kind of communication in the learning process that creates the conditions for the development of motivation and creativity in learning activities and for the proper formation of personality. In order to avoid tense situations, it is necessary to be able to manage one’s own behaviour, to create an environment of respect, friendliness towards others, their culture, language, traditions, thereby contributing to the development of a culture of inter-ethnic communication.
Formation of Ethnocultural Competence in Pedagogical Activity: Sociocultural Aspect of Research

Introduction . In modern society of social change, key competencies are of particular importance. They ensure not only the survival of the individual in new socio-economic and socio-cultural conditions, but also the success of his professional activities, compliance with international standards, as well as the competitiveness of the teacher in a single educational space. Materials and methods . Currently, there is reason to speak not only about the competencies that were inherent in the teacher and form the basis of his professional skills, but also about completely new competencies that should still be mastered. When considering these issues, general scientific methods and approaches, comparative analysis, historical and hermeneutic methods of scientific research are used. Results . According to the authors, ethnocultural competence is among the key competencies. Ethnocultural competence as an integrative entity has its structure. The motivational component of the ethnocultural competence of the teacher is considered as a combination of motives adequate to the goals and objectives of the teacher’s professional activities in a multi-ethnic region. The special role in the process of ethnocultural competence formation belongs to the education system. Discussion and conclusion . Ethnocultural competence is defined as a systemic sociocultural phenomenon that has objective and subjective sides. The objective side lies in the requirements that society places on the professional activities of the teacher. The subjective side of ethnocultural competence is a reflection of the objective side, which is refracted through the personality of the specialist, his professional activity, the peculiarities of motivation in improving and developing his ethnocultural competence. The education system lays the foundations of axiological and praxiological attitude to the world, forms the logic of thinking. One of the features of the education system in solving the problem of ethnocultural competence formation is that a specific sociocultural ethnic phenomenon operates in it.
Sistem Inventory Pada Gudang Aksesoris PT. Mulia Knitting Factory

Information can be obtained more easily and quickly because of the existence of information technology, one of the uses of information technology is the application of warehouse inventory. PT. Mulia Knitting Factory already has several applications that serve business processes including purchase transactions, stock up to payment processing. However, not all sections have implemented this. Because for now the existing application is only for the input and output of goods from the warehouse, for example in the accessories warehouse. The stock file is not only needed by the warehouse department, but also by the purchasing department. With manual data collection, the inventory of goods is not immediately updated, so that errors in raw material inventory information still often occur. The author makes a web-based inventory application design that will be used by the accessories warehouse section and then can also be viewed or controlled by the purchasing department so that it can make it easier to control the purchase of goods and accessories needed. The research was conducted using the waterfall method to build applications so that the resulting applications are better and of higher quality. The resulting application is then tested using black box testing with the results of all tests being accepted, so the application can be used.
PERSEPSI MASYARAKAT TERHADAP PEMBANGUNAN JARINGAN GAS RUMAH TANGGA DI DESA GAS ALAM KECAMATAN MUARA BADAK KABUPATEN KUTAI KARTANEGARA

One of the government's programs in seeking alternative energy is the construction of a household gas network that has been running from 2017 to the present. One area that has received a household gas network is Gas Alam Badak Village in Muara Badak, Kutai Kartanegara. The success of the development carried out by the government cannot be separated from the perceptions of the surrounding community, both those who accept it or reject it. This study aims to determine people's perceptions of the construction of household gas networks in Gas Alam Village, Muara Badak, Kutai Kartanegara. This type of research is quantitative descriptive, with a total population of 1,117 households while the sample is 168. The results of the study were seen from the cognitive, affective, and evaluative aspects of the Gas Alam Village community to support the household gas network program.