Reviewerly/exHarmony huggingface dataset:
Tracker/Camera Calibration for Accurate Automatic Gaze Annotation of Images and Videos

Modern appearance-based gaze tracking algorithms require vast amounts of training data, with images of a viewer annotated with “ground truth” gaze direction. The standard approach to obtain gaze annotations is to ask subjects to fixate at specific known locations, then use a head model to determine the location of “origin of gaze”. We propose using an IR gaze tracker to generate gaze annotations in natural settings that do not require the fixation of target points. This requires prior geometric calibration of the IR gaze tracker with the camera, such that the data produced by the IR tracker can be expressed in the camera’s reference frame. This contribution introduces a simple tracker/camera calibration procedure based on the PnP algorithm and demonstrates its use to obtain a full characterization of gaze direction that can be used for ground truth annotation.
Pathology for gastrointestinal and hepatobiliary cancers using artificial intelligence

From visual data, artificial intelligence (AI) can extract complicated information. Histopathology pictures of gastrointestinal (GI) and liver cancer provide a large quantity of data that human observers can only decipher in part. AI permits the in-depth study of digitized histological slides of GI and liver cancer, complementing human observers, and has a wide variety of clinically useful applications. First, AI can recognize tumor tissue automatically, alleviating pathologists' ever-increasing labor. Furthermore, AI can capture prognostically significant tissue characteristics and so predict clinical prognosis across GI and liver cancer types, perhaps surpassing pathologists' capabilities.
A Collaborative Design Method for Safety and Security Engineers

The number of cyberattacks has been increasing not only on information systems but also on physical systems. Safety must be considered as an influence of cyberattacks. Vulnerabilities exploited in cyberattacks continue to occur day by day even if systems were developed securely. Security engineers must eliminate vulnerabilities even if the vulnerabilities occur after the developed systems are released. Vulnerabilities must be managed throughout system life cycle. But it takes time to apply its security patch. Safety engineers are required to ensure safety even when vulnerabilities exist. Therefore, collaboration between safety and security (S&amp;S) engineers is necessary to manage corresponding S&amp;S in operation process. S&amp;S should be considered simultaneously in early stage of development process. Collaborative discussion is useful to mitigating risk of reworks. It is an example of reworks by inadequate S&amp;S discussion that the braking system might be redesigned to promote the response in order to compensate for the delay caused by encryption. Therefore, this paper proposes common models effective for the collaboration throughout system life cycle. A management approach using the models is also proposed. Common model is represented by data flow diagram (DFD) because a module under cyberattacks can adversely affect other modules only through data flows. In the proposed method, the three improvements contribute to supporting management throughout system life cycle. Firstly, the models are applied to safety analysis and security analysis. Secondly, vulnerability occurrence is managed at the level of modules. System structures are designed based on modules. Module abnormalities caused by cyberattacks on the vulnerabilities are managed as causes of safety corruption. To indicate critical points for system to be considered, the points from a safety perspective must be identified. Processes and information are traced from the points in DFD. Finally, a module, which performs sets of functions, is outsourced. For each module, it must be considered who will manage vulnerabilities. The proposed method is illustrated using a development of a self-driving wheelchair as an example. In this paper, the collaborative design method for S&amp;S engineers of products and their management based on modules are described to ensure safety even when unexpected vulnerabilities exist.
The Effectiveness of Class Management by Using Postersto Increase Literacy and Numeracy Skills

Numeracy and literacy at SDN Sumberpinang 01 do not seem ideal yet, as there are few students who are not fluent in their respective stages of reading and writing. Also, there were many students who had not mastered mathematics (numeracy). With this problem, the purpose of this paper is to find a way out by using a poster. It has a class management feature for young learners and has also helped students improve their numeracy and literacy skills. Another reason for this poster design was the creation of a poster using a language and design that was appropriate for each point so that it could create a product that was useful and right for the target. The method of implementation has been used in many respects, including survey and observation, problem identification, problem formulation, material determination, media and language determination, poster design determination and poster placement. The result is thirty (30) posters and one (1) banner consisting of nine (9) posters for literacy, nine (9) posters for numeracy, six (6) motivational posters, five (5) health protocols for COVID-19 posters, one (1) English poster, and one (1) student pledge banner on display at the front of the school. The use of letter fonts in this poster gives priority to high readability, and the colours used often differ with the use of eye-catching colours so that students are interested in reading.
Impact of the Covid-19 Pandemic on the Elementary School Student’s Learning Media: A Relationship Between Facilities and Teacher’s Perception

This study aimed to examine the relationship between facilities and instructors' perceptions of their ability to develop instructional media during a pandemic. This study employed a quantitative approach through the use of a survey. The sample size for this study was 154 elementary school teachers drawn through a purposive sampling technique from Pelalawan and Rengat districts. The data were gathered via a survey administered over WhatsApp and analyzed descriptively and inferentially using SPSS version 26. The findings indicated that all fundamental support facilities for online learning were met 100 % of the time, interactive learning media facilities were met 48.7 % of the time, and assistive devices for students were met 58.4 % of the time. Additionally, 60.4 % of teachers frequently create learning media on their own, 45.5 % frequently generate media independently, and 42.9 % frequently use online learning media. The Pearson Product Moment Correlation Coefficient calculated between facilities and teachers' abilities indicated a significant value of 0.0000.05. As a result, it is possible to conclude that there is a positive and significant association between facilities and the teacher's opinion of their ability to produce instructional media.
Application of Digital Image Processing Technology in Automatic Recognition Algorithm of Rock Microseismic Events in Mining Area under the Background of Mobile Communication

In all kinds of production, the changes of the times and scientific and technological progress make us have higher requirements for monitoring data. In order to improve the accuracy of mine rock microseismic monitoring and the sensitivity and specificity of mine disaster early warning, it is very important to use the change of light and material vibration to monitor environmental changes. This paper is the design of an optical hardware system, which improves the traditional system, uses the change of light wave to detect the spatial change, and forms a nano digital imaging photography (ndip) system to collect more detailed data. The three-year field experiment under the guidance of a simulation experiment shows that the system has higher monitoring sensitivity, early warning sensitivity, and specificity than the laser gyroscope system, but its antidust interference ability is low, so it cannot replace the laser gyroscope system in a short time, but it can supplement and realize data fusion analysis.
Meal Donation Application Using Flutter Technology

Abstract: This mission is used to control the wastage of food in a purposeful way. people are throwing away lots of meals each day. So, we have to reduce that food wastage problem through online application. This app is basically a Food Donation App that includes Food Providers (Providers, Individuals and Restaurants etc.) and Recipients (NGOs, Individuals etc.). This app sets out the details of leftover food and pick up address and other relevant information that can be viewed by Recipients. Recipients with their consent can access the specified location to download the food package. Effective management and security of data is maintained while developing our product. User information is kept private because it maintains a separate account for each user. The potential for food redistribution for this project could be an effective social implementation initiative addressing food waste and food poverty. Keywords: Meal donation, Meal wastage, mobile application, flutter, firebase, mobile application
Long-Term Social Effects of Colonisation on the Culture of the Colonised

The study set out to check what has become, years after decolonisation, of the long-term social features that were introduced at gun point into the culture of the colonised during the colonisation years. The data were collected via a 26- item questionnaire that focused on key cultural elements including food, body modification, dressing, language, religion, marriage, and naming. A total of 300 informants were contacted of which 110 were male and 190 were females, with 170 educated in French and 130 in French. They were students majoring in English on the one hand, and science-oriented students specialising in mechanical, electrical, computer, insurance, and banking engineering and learning business English on the other hand. The analysis revealed that, for each cultural token tested, there was a tendency for the colonised to mimic the coloniser. Imported meals were eaten regularly, body lotions were produced by the coloniser, the wigs they wore were made with the coloniser’s natural hair, clothes thrown away by the coloniser were bought, the coloniser’s language was widespread, artificial nails resembling the coloniser’s were gummed on the colonised fingers, the faith of the coloniser was adopted by some people, emphasis was put on church marriage by some people, polygamy was rejected by some people following the injunctions of their pastors, and names were taken from a repertoire drawn up by the coloniser. In short, several years after decolonisation, the social cultural features that the coloniser imposed at gun point on the colonised parents were joyfully adopted by the colonised, to the point that the latter spends huge sums of money to acquire these features that make him or her look like the coloniser.
Fluid sources and mineralizing processes in greenstone belts: a stable isotope (O, H) comparison between the weakly mineralized Moly-Desgagné–Guercheville system and Val-d’Or orogenic gold deposits, Canada

In orogenic gold systems, the source of the fluids and the processes leading to mobilization, transport, and deposition of gold remain debated. Most studies focus on endowed rather than on gold-poor orogenic systems to unravel the “key” parameters of gold mineralizing processes. Here, we present stable isotope (O, H) data from the Moly-Desgagné–Guercheville fault system (gold-free to low gold endowment) in the Chibougamau area, Abitibi greenstone belt, Canada. The gold-free Moly-Desgagné showing and nearby poorly endowed Hazeur showing and Monster Lake deposit share similar features typical of orogenic systems. The stable isotope compositions of tourmaline and quartz from the Moly-Desgagné–Guercheville fault system also display similar characteristics, such as (1) temperature of vein formation of 345 ± 86 °C (1σ); (2) fluid mixing between an upper crustal reservoir (low T – high δD – low δ 18 O) and a metamorphic water reservoir (high T – low δD – high δ 18 O); and (3) positive δD fluid values consistent with multiple boiling-condensation cycles related to fault-valve processes. These characteristics are similar to those from the gold-endowed Val-d’Or vein field. The difference in gold endowment between the Moly-Desgagné–Guercheville and Val-d’Or vein fields may be related to the nature of the fault system (i.e., terrane-bounding or “intragreenstone belt”) and the volume and (or) composition (i.e., gold, its ligands, CO 2 ) of the fluid source rocks.
PRINCIPLES OF FORMATION OF DIGITAL EDUCATIONAL SPACE TO IMPROVE THE QUALITY OF TRAINING OF FUTURE EDUCATORS

The article is devoted to the analysis of the theoretical foundations of the formation of digital educational space in higher education institutions in order to improve the quality of training of future educators. The aim of the article is a thorough theoretical analysis of the conceptual foundations of the formation of digital educational space in higher education to improve the quality of professional training of students, including future educators of preschool education. The following theoretical research methods were used in the work: analysis, synthesis, generalization, induction and deduction, comparison, concretization. The article proposes the substantiation of the problem of digitalization of education, the relevance of digital educational space in higher education, highlights the impact of information and communication technologies on expanding the content and capabilities of educational space, in particular in the training of future educators. A number of conditions have been proposed, the observance of which can increase the efficiency of digital modernization of the educational process of a higher education institution. The publication summarizes the goals (for the applicant, the customer and the educational institution) and the principles (uniformity, openness, accessibility, competitiveness, responsibility, validity, usefulness) of digital technology use in higher education by future educators. The article proposes a number of tasks that will improve the educational process and quality of training of future educators through the introduction of innovative information systems, including: development of new regulations and principles of data processing. formation of the list of data potentially subject to exchange; development of digital educational space architecture; development of data exchange protocols and approval of relevant standards; revision of the normative base of document circulation and organization of the educational process in order to eliminate conflicts of previous norms and modern electronic document circulation.
USING THE GO-LAB PLATFORM TO ORGANIZE INQUIRY-BASED PHYSICS LEARNING

The article reveals the essence and analyzes the features of the use of inquiry-based technology in the training of future teachers of natural sciences. The comparative characteristics of traditional technology and inquiry-based technology are given. The possibilities of the Go-Lab ecosystem for the formation of research thinking of future teachers of natural sciences are analyzed. The methodology, structure and content of all stages of inquiry-based learning based on the Go-Lab platform are presented. The component of the Go-Lab ecosystem is the Graasp environment for the creation and use of Inquiry Learning Spaces (ILS). This student-centered model also allows students to move at their own pace of learning and feel successful. The implementation of the proposed approach is demonstrated by the example of the development of Inquiry Learning Spaces in general physics “Movement of a body thrown at an angle to the horizon”. This ILS will help students to determine the dependence of flight range/altitude/flight time on the initial parameters (throwing angle/initial speed), etc. A model of the Go-Lab research cycle with five main stages is described. The possibilities of organizing collaboration for teachers and students with the help of digital services and applications Go-Lab are presented. Students’ collaboration is carried out through communication to exchange ideas, share responsibility for the result, joint research and reporting, and facilitate their preparation for professional selection and professional team’s work. In this way, Go-Lab enables inquiry-based learning that promotes the acquisition of deep conceptual domain knowledge and inquiry skills. Prospects for further research are associated with the formation of digital competence of future teachers of natural sciences, in particular with the development of research spaces (ILS) in the Graasp environment. This task can be realized during the students' educational (subject) practice on the basis of the university.&#x0D; Keywords: inquiry-based learning; innovative learning technologies; Go-Lab; Graasp; Inquiry Learning Space (ILS); general physics; competencies; science teacher.
Research on Discrete Dynamic Modeling of Learner Behavior Analysis in English Teaching

The current English teaching mode focuses on the traditional offline teaching and online teaching. In order to solve the problems that some students are inefficient and cannot teach students according to their aptitude in the teaching process, this paper uses the big data analysis strategy based on a neural network algorithm. This paper studies the discrete dynamic modeling method of learner behavior analysis in English teaching. Firstly, it summarizes the current situation of English teaching and the research status of the hybrid application of discrete dynamic modeling technology. Secondly, combined with English teaching content and teaching objectives, through the analysis of various data of students’ learning behavior, this paper evaluates students’ English teaching quality from five aspects that affect the students’ English teaching quality and puts forward a personalized English teaching quality evaluation model based on discrete dynamic modeling technology and learners’ behavior analysis. Finally, through the practical teaching application in a university, the feasibility of the discrete dynamic English teaching model is verified. The results show that compared with the current innovative English teaching methods based on a dynamic iterative decision algorithm, the personalized discrete dynamic English teaching model based on learner behavior analysis significantly improves the quality of English teaching and students’ academic performance.
Properties of the Ordered Feature Values as a Classifier Basis

The paper proposes a new classifier based on new concept closeness for objects finite set: feature values of the same class objects are close if the difference between these values is small enough. To pass to this concept, the combined sample data for each feature k were approximated by mapping onto a set of the ordered pairs (k;m), where m is the interval number of the feature ordered values. The objects of each pair have close values of the considered feature. Number lists of training sample objects of the same class, forming ordered pairs, was called an information granule. The frequency of any granule is calculated from the length relation of corresponding subsets as a complex event. These frequencies allow us to calculate the frequencies of the object feature values in different classes, and then the object frequencies as a whole in a certain class, the maximum of which determines the object class. Simplicity, robustness and efficiency of the developed algorithm were confirmed experimentally on 9 databases.
Comparison of classification techniques in the diagnosis of acute myelogenous leukemia

The leukemia blood cell discriminates from other blood cells by geometrical structure and cellular material by hematologist with microscope. In conventional color imaging system, the granular region in leukemia cells classify false negatively by experts due to micro geometrical and morphological changes in leukemia cell. Hence, a computer aided decision support system (CADSS) employs for automatic classification of leukemia blood cells. This paper gives the comparative study of various methods of classification of Acute Myelogenous Leukemia (AML) with improved accuracy and their results are compared. In this paper, the classification techniques such as Convolutional Neural Networks (CNN), Support Vector Machines (SVM), Fraction Black-Widow Optimized Neural Network (FB-NN), Deep CNN with Arithmetic Optimization and Hybrid Convolutional Bi-LSTM based RNN are made with blood microscopic images, in which according to measures, Deep CNN with Arithmetic Optimization has the best accuracy.
Cyber Crime Forensics

Cyber crime is becoming more frequent in our daily life since computers are everywhere now and hence the term cyberspace is becoming our ordinary life. Digital forensics or computer forensics which the process of securing digital evidence against the crime is becoming inevitable. Digital evidence is the foundation for any digital forensic investigation that can be collected by several means using technologies and scientific crime scene investigation. Modifications with crime scene data may possibly change the evidences that may lead to different investigation results. Several models and frameworks to help investigating cybercrimes have been proposed. In this paper we are proposing a frame work that to suit the Sudanese judiciary system. The framework suggested studied several models and frameworks in the globe to come out with a suitable framework model that can help the Sudanese courts taking their decisions concerning cybercrime. The conventional chain of custody is our main platform to construct our framework. That is due to fact that computer crime is different from conventional crime in that it may have no definite place or space. Although The share of people in computer crime is more crucial than the technology itself, achieving evidence integrity is more challenging than normal crimes. This work aims to study and evaluate the applicability of existing digital forensic process models to the Sudanese environment, analyze each of these frameworks might and then construct a framework to Sudan courts.
Analysis Model of Human Resource Cross-Media Fusion Based on Deep Neural Network

With the continuous deepening of enterprise system reform and the rapid development of national economy, enterprises are facing the great challenge of market competition. In the new market and social environment, the role of human resource management in enterprises becomes particularly important. To further improve the level of enterprise human resources strategic management has become an urgent problem to be solved. In the process of human resource management, enterprises are faced with complex and changeable environment and other influencing factors. Therefore, in the human resource information retrieval, this paper uses the method of deep learning to screen human resource management indicators and constructs the human resource management index system of power supply enterprises. In this paper, the nonlinear characteristics of neural network are used to establish a deep neural network human resource cross-media fusion model, which provides an operational method for enterprise human resource management. The human resource allocation relationship of enterprises is predicted, and the influencing factors and trends of personnel post-matching are analyzed. The demand forecasting results show that the neural network depth has a good fit with the enterprise staff, and the actual forecasting error is less than 3.0. It can accurately predict the human resource allocation of enterprises, improve the scientificity and effectiveness of human resource strategic decision-making, and make enterprises better adapt to the requirements of market economy. This will be of practical significance to the modernization of enterprise management.