Reviewerly/exHarmony huggingface dataset:
Vision Based Communicator

This work provides a vision-based human-computer interface. The interface senses and interprets eye-blinks as controls along with gaze detection methods. We used image processing methods like haar-like features for automatic face detection, followed by eye tracking and blink detection based on landmarks. The gaze detection mechanism helps in easy controlling of the mouse pointer which can help people with disabilities to communicate effectively. A heatmap is also generated so that in future developments, this data can be used to design a more efficient layout for the controls. Given the necessity to move towards online solutions, such data can cater to the needs of a variety of sectors.
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding

Chronic kidney disease (CKD) has a poor prognosis due to excessive risk factors and comorbidities associated with it. The early detection of CKD faces challenges of insufficient medical histories of positive patients and complicated risk factors. In this paper, we propose the TRACE (Transformer-RNN Autoencoder-enhanced CKD Detector) framework, an end-to-end prediction model using patients' medical history data, to deal with these challenges. TRACE presents a comprehensive medical history representation with a novel key component: a Transformer-RNN autoencoder. The autoencoder jointly learns a medical concept embedding via Transformer for each hospital visit, and a latent representation which summarizes a patient's medical history across all the visits. We compared TRACE with multiple state-of-the-art methods on a dataset derived from real-world medical records. Our model has achieved 0.5708 AUPRC with a 2.31% relative improvement over the best-performing method. We also validated the clinical meaning of the learned embeddings through visualizations and a case study, showing the potential of TRACE to serve as a general disease prediction model.
Cloud Strategy Development for Medium and Small Business

The authors, within the present research, aim at making more extensive use of ICT by developing a cloud service strategy that will contribute to the dissemination of knowledge and help in deployment. Companies will be able to assess their readiness to implement cloud services, explore the approaches, benefits and disadvantages of cloud services. Cloud services are a solution to most SMEs, regardless of size, activity or existing ICT infrastructure. Smaller companies can implement SaaS-type solutions, but companies with advanced ICT infrastructure can focus on IaaS and PaaS-type solutions.
Robust Image Captioning

Automated captioning of photos is a mission that incorporates the difficulties of photo analysis and text generation. One essential feature of captioning is the concept of attention: how to determine what to specify and in which sequence. In this study, we leverage the Object Relation using adversarial robust cut algorithm, that grows upon this method by specifically embedding knowledge about the spatial association between input data through graph representation. Our experimental study represent the promising performance of our proposed method for image captioning.
پیشبینی میزان قند خون در بیماران مبتلا به دیابت نوع یک بر اساس یادگیری عمیق

Diabetes is a common disease all around the world. It is a difficult and incurable but controllable disease, so it is important to control and prevent its complications. Thus, low error and smart methods are used to predict blood glucose levels and prevent dangerous complications to control it effectively. In this regard, different methods were investigated. In our research, two models based on deep learning technique are used which produce efficient and optimal results. These models are composed of different combinations of long short-term memory and feed forward neural networks which predict the patient's future blood glucose levels with considerable accuracy and speed. To achieve more comprehensive model, 81,200 blood glucose data was evaluated through 203 patients. In addition, 27 effective features in patients' blood glucose levels are considered in this regard. Furthermore, cross-validation method which is suitable for time series was used for more accurate evaluation. The results showed that Autoregressive Integrated Moving Average model could not predict blood glucose levels considering this amount of data and system hardware limitations, while the models based on deep learning had good performance and good speed. Furthermore, the second proposed model for the prediction horizons of 5, 10, and 15 minutes outperformed the first one with 13.8%, 16%, and 18.9%, respectively. Therefore, the second proposed model can be more reliable for predicting blood glucose. So, it can be used in smart warning systems to prevent hypoglycemia, which is a dangerous and widespread problem of type 1 diabetes.
Emotional intelligence as a structure-forming component of the future teacher’s psychological culture

The article deals with the concept of emotional intelligence as a structure-forming component of the future teacher’s psychological culture. The paper substantiates the need to develop this personal quality in future teachers, as well as its importance for successful professional activity. The article analyses the structural components of emotional intelligence in the personal sphere of future teachers. The study provides empirical material for the primary cross-section of diagnostics of emotional intelligence in the personality structure of future teachers.
Improving Performance of Projector with the Protection of the Eyes while using a Smart Board

One of the most important problems that a teacher faces when using a smart board in the teaching process is the fall of a strong light beam from the projector on their faces and bodies.The focus of this light is harmful to the human eye, which leads to temporary blindness when it falls directly on the eye.It also leads to harmful side effects.The light falling on the presenter body will make the picture on the screen looks unprofessional and unclear and distract the attention of the students.Solving this problem will led to better lectures delivering for both the teachers and the student.In this study, a system is designed to track the movement of the teacher using an infrared transmitter that is attached to the teacher's freshness or head cap.Electronic signals directed to an infrared receiver are installed on the front of the projector device in order to send these signals to the computer for analysis according to the proposed algorithms to determine the teacher face position.A black shade square) is placed in the designated and displayed on the smart board where the lighting will decrease on the face and eyes of the teacher, as this shade will be moving with the movement of the transmitter.This method aims to protect the teacher's eyes from the harmful strong light.
Virtual reality training of presentation skills: how real does it feel? : a mixed-method study

Being able to deliver effective and compelling presentations to various audiences, becomes more and more important for engineers. However, with full curricula and growing numbers of students in engineering domains, the training of good presentation skills often receives (too) little attention. Instructors don’t have time to train the students intensively, let alone that there is room for individual, formative feedback. The use of Virtual Reality (VR) might offer a solution. With this technology, students can practice their presentation skills on their own in front of a virtual audience. The study presented here is part of a line of research into the effects and user experiences of VR presentation skills training for students of engineering. The current study is about capturing the user experience and focused on an attribute that is assumed to be central to VR technology, namely the capacity to induce a strong sense of immersion in the user. The current study sought to explore if VR users respond to a virtual audience as were it a real audience. In order to investigate this, a mixed-method study with 46 students from a technical university was applied, in which the responses from the virtual audience were manipulated, and the effects of those manipulations on the level of user immersion were measured. We also investigated if personality traits moderated these effects. Quantitative (questionnaires) and qualitative (interview) data were collected to capture the effects of the manipulation, and the extent to which personality influenced the responses of users to the VR experience.
Utjecaj buke na učenje jednog neurona

The behaviour of a linear neuron learning by template contaminated by additive white Gaussian noise was analysed. All calculations and graphs were performed in Matlab. The digital filtering of prediction errors in the Widrow - Hoff learning algorithm achieves reliable convergence of the learning process. The final results of the sine wave generator design are of better quality. The conclusions are also implicit in daily, human situations.
Pengembangan Media Ular Tangga Terhadap Pembelajaran Matematika Materi Pecahan Sederhana Pada Siswa Sekolah Dasar

One of the problems in the teaching and learning process is the lack of use of instructional media. This resulted in learning mathematics becoming boring and not in demand by students. So here we need a media that can be used in learning mathematics, one of which is the snake ladder media that is developed for learning mathematics for simple fraction material in elementary school students. Development research uses the ADDIE model which has 5 stages: (1) Analysis, (2) Design, (3) Development, (4) Implementation, (5) Evalution. But at the stage of the implementation of this study could not be applied because of the outbreak of COVID-19, so this study stopped at the stage of media expert validation and material validation as a measure of the feasibility of ladder snake media. The results of media validation were 90%, while the results of material validation 1 were 90% and material validation 2 were 92%. Then it can be concluded that the snake ladder media can be used for learning mathematics in simple fraction material in elementary school students.
한국어능력시험(TOPIK) 쓰기 완성형 문항 분석 및 개선 방안

The purpose of this thesis is to analyze No. 51 and 52 questions which are TOPIK Writing look into the problems and present a improvement plan. So I examined whether each question was properly consisted to evaluate the learners’ abilities of writing sentences and reviewed which direction is necessary to improve the problems if there are any ones. As a result, some problems were found in the forms of the answers, the way of offer of clue and texts of the No. 51 and 52 questions. The improvement plan to solve the problems is as follows. The sentence completion of the current stage seems to be more appropriate for the answer of No.51 question than the sentence writing of the early stage of reorganization. However, the answer should be the one that can be written by inferring from the context and include content and grammatical elements. We must make the text real by diversifying grammatical expressions, types of text, functions of writing and etc. We should reduce the blanks of the text into one and make the examinees write the complete sentence in it to evaluate the ability of writing the proper sentence unit in No.52 question. Various ways of writing development should be used in the text.(Kangwon National University)
The Adaptive Assessment - AI technique to help people evaluate their skills

Adaptive assessments are designed to challenge students. High-achieving students can be challenged by more difficult questions, while students who are slightly below the average areencouraged to continue moving forward by answering questions at or slightly above their current achievement level. Our solution will discuss the algorithmic approach and challenges to achieve it. Apart from the algorithm, the solution will not be complete without the entire system architecture to manage the data, secure the information, and making it available for the end-user.
INDIVIDUAL CHARACTERISTIC ASPECTS OF PSYCHOLOGICAL CULTURE OF STUDENTS OF DISTANCE AND FULL-TIME FORM OF LEARNING

Relevance of the work is determined by the need to study the personality and psychological characteristics of students choosing full-time and distance learning to understand the general laws of the formation of the psychological culture of a graduate in the context of the active development of electronic educational space. The purpose of the study is to compare the individual characterological elements of the psychological culture of students choosing full-time and distance learning in the development of engineering specialties. Methods and sampling. The sample consisted of 84 respondents aged 18 to 22 years studying in the field of information technology. They were divided into two groups depending on the preferred form of education: distance learning (40 students) and full-time (44 students). The following tools were used: five-factor personality questionnaire by H. Tsuyi in the adaptation of A.B. Khromov; B. Bass technique for diagnosing the personality orientation, Yu.M. Orlov technique for identifying communication needs; viability test by S. Muddy; self-attitude test questionnaire (CCA) by V.V. Stolin and S.R. Pantileeva. Results. Distinctions in the reflexive-evaluative component, communicative features are highlighted. Students of distance learning have a lower level of the need for communication, lower levels of self-regulation and a more pronounced psychological distance in communication, associated with lower rates of self-acceptance, compared with full-time students. The choice of the method of organizing interpersonal interaction in the educational situation is affected by the psychological distance of the person in communication. In case of distance-learning students, the factor of “attachment-remoteness” appeared to be more significant compared to full-time students, who were characterized by a higher indicator of the need for other people to evaluate them. Conclusions. The active development of e-education requires to take into account the specifics of the personal characteristics of students and should not be limited only to the expansion of user competencies. This is determined by the distinguished differences in the characteristics of self-acceptance, the severity of the need for communication, as well as the psychological distance of the person in communication between students who prefer distance or full-time educational formats.
Resource Discovery in a Changing Content World

Discovery services have evolved to include not just books and articles, but databases, website content, research guides, digital and audiovisual collections, and unique local collections that are all important for their users to be able to find. Search and ranking remain at the core of discovery, but advanced tools such as recommendation, virtual browse, ‘look inside‘, and the use of artificial intelligence are also becoming more prevalent. This group of panelists discussed how content in their discovery systems can change based on the context of the user, using as examples Primo and Blacklight, and how content is populated, discovered and requested by users through differing customizations and workflows. The session also explored what tools are available today or may become available in the coming years that may be used to highlight different collections and material types in a library discovery system. As this topic impacts many stakeholders—libraries who need to make content discoverable and satisfy the needs of their users, content providers who want to make sure that their content is visible and used, and discovery providers who need to develop their systems to support the changing needs—the panelists posed questions to the audience to encourage conversation around the challenges they face with making their unique content collections discoverable and to share solutions.
Extended cyclic codes, maximal arcs and ovoids

We show that extended cyclic codes over $\mathbb{F}_q$ with parameters $[q+2,3,q]$, $q=2^m$, determine regular hyperovals. We also show that extended cyclic codes with parameters $[qt-q+t,3,qt-q]$, $1<t<q$, determine (cyclic) Denniston maximal arcs. Similarly, cyclic codes with parameters $[q^2+1,4,q^2-q]$ are equivalent to ovoid codes obtained from elliptic quadrics in $PG(3,q)$. Finally, we give new simple presentations of Denniston maximal arcs in $PG(2,q)$ and elliptic quadrics in $PG(3,q)$.
Application of Asset Management Applications at CV.Uberma Computer

The purpose of this research is to identify a problem, analyze needs, and also develop a management information system, especially in managing an asset data and also storing asset data on a cv.uberma computer, this system will be developed using the PHP7 programming language and also the Framework. AdminLTE bootstrap with MySqli database, using the waterfall method because using the waterfall method can describe a systematic and sequential approach to developing software and also uses the PIECES Framework method to determine the assessment of an application from respondents, with an application asset management information system This will be a solution in presenting an asset data consisting of building assets, store assets, land assets, product assets, computer component assets and computer equipment assets, using an asset management application.
Empirical determination of optimal configuration for characteristics of a multilayer perceptron neural network in nonlinear regression

In this paper, we determine an optimal configuration for characteristics of a multilayer perceptron neural network (MPL) in nonlinear regression for predicting crop yield. Monte Carlo simulation approach has been used to train several databases generated by varying the internal structure of 3-MLP from simple to complex for five (5) different algorithms most commonly used. Results showed that the optimal configuration is obtained with the Levenberg Marquard algorithm, 75% of the number of input variables as number of hidden nodes, learning rate 40%, minimum sample size 150, tangent hyperbolic and exponential functions in the hidden and output layers respectively. This configuration has been illustrated with real life data.
The Role of National, Regional and International Professional ICT Bodies

National, regional and international professional ICT societies, associations and federations have played important roles in the past in advancing the computing field. The ways these roles can be fulfilled and the ways these bodies are organized depend on the state of technology and of society in general. Technological and societal developments make it necessary for these bodies to evolve, both in their roles and in their structure. This chapter is addressing challenges facing ICT societies and opportunities for change.
Study on the Mapping Law of the Fluctuation of Heart Rate Parameters and the Change of Driving State

Under the influence of different external environment and its own factors, many drivers are prone to operate mistakes, which would lead to accidents. Thus, the main purpose of this paper is to analyze the driver’s driving state by detecting the driver’s heart rate fluctuation parameters. Firstly, wavelet transform was used to denoise the ECG signal of the driver when a driver was in the process of driving simulation. Then, the characteristic value of the ECG signal was extracted. Heart rate fluctuations (HRF) analysis from two different angles showed that the fluctuation of heart rate parameters could be obtained directly from the ECG signal, which was related to driving status. Through the comprehensive analysis of the ECG signal, the driving position was redefined as the relative position value of the vehicle to the road centerline during driving, and it was represented by a cloud model. The standard one-dimensional cloud model of drive state was obtained through Python programming. It was found that the expectations and variances of the one-dimensional cloud model may also be related to fluctuations in heart rate parameters. Lastly, the mapping relationship between them was obtained.
Love Exploring app for Platt Fields park

Trail around the parks to search  for Christmas fairies who are hiding in various parts of the park. You can take a photograph to share on Social media
Curriculum Development for Cyber Ethics with a Focus on Law Enforcement

Abstract The goal of this paper is to share the methodology and results of the United States Coast Guard Academy’s approach to developing a Cyber Ethics course for its Cyber Systems major with an additional focus on Law Enforcement. This paper seeks to apply an ethical framework to an emerging and ever-changing field of cybersecurity. Assessments from the first offering are shared as well as end of course student feedback. These are utilized as a basis of analysis for future improvement. The area of Cyber Ethics is a critical, relatively immature, interdisciplinary, and dynamic field that requires an understanding of ethical frameworks across history and an understanding of the technical details of cyber actions in order to make judgments on the ethical implications of such actions. This course has sought to extend ethical principles to the cyber domain while introducing many of the legal and policy considerations appropriate. Through the use of vibrant in class discussion, research and presentations, and a final project, students learned about, explored, and sought to discern the ethical implications of cybersecurity within the context of society, especially as it pertains to military and law enforcement. Student feedback validated that the course challenged them, offered them an opportunity to present their views, and extended what they had learned in their classic ethics class into the cyber domain. Based upon lessons learned, adjustments are being made for the second offering of this course in order to improve the flow and delivery of the class and the evaluation criteria. Changes are also being made to account for the increased class size from single to double digits.
AI Could Help Solve the Privacy Problems It Has Created

Artificial intelligence insatiable data needs has encouraged the mass collection of personal data, placing privacy at risk. But AI can help solve the very problem it creates.
Pemanfaatan Perpustakaan Sekolah Sebagai Sumber Belajar Siswa Sekolah Dasar Negeri 111/IX Muhajirin

The problem examined in this study is the lack of maximum utilization of school libraries as learning resources. Focus of the problem: how to use the school library as a learning resource for students of SDN 111 / IX Muhajirin Village. The purpose of this study is to describe the use of school libraries as learning resources for students of SDN 111 / IX Muhajirin Village. The approach used in this research is qualitative. This type of research is descriptive research. This research was conducted from class I-VI SDN 111 / IX Muhajirin Village in February-April 2019. The subjects in this study were students of class I-VI SDN 111 / IX Desa Muhajirin, totaling 30 people consisting of 16 males and 14 women, homeroom teacher, librarian, and principal. Collecting data in this study using observation sheets, interviews, and documentation. The data analysis technique uses data reduction, data presentation, and drawing conclusions. The results showed that the use of the school library as a learning resource was not optimal. So, it can be concluded that the use of school libraries as a learning resource for students of SDN 111 / IX Muhajirin Village has not run optimally.