bluuebunny/crossref_metadata_2025 huggingface dataset:
Efforts to Improve Collaboration Skills and Student Learning Outcomes Using the Teams Games Tournament Model
Authors: Ihwanto Nur , Warni Herita , Mashud Mashud
Published: December 2022

This study aims to determine whether the application of the Teams Games Tournament (TGT) learning model can improve collaboration skills and student learning outcomes in the basic motion combination material of walking, running, jumping, and throwing in class V.A. students at SDN 2 Loktabat Selatan. In this study, we used the class action research method (classroom action research) with the Kemmis and Taggart models (planning, implementing actions, observing, and reflecting). The subjects of the study were 14 students in class V.A. at SDN 2 Loktabat Selatan. Data collection instruments were tests (multiple choice) and non-tests (observations). The overall data is in the form of quantitative data, which is then analyzed descriptively using the percentage formula. The results showed an increase in collaboration skills and student learning outcomes from pre-cycle to cycle I. The value of pre-cycle collaboration skills increased by 37%, then increased by 93% in cycle I; the value of pre-cycle cognitive skills increased by 50%, then increased by 93% in cycle I; and the value of pre-cycle psychomotor skills increased by 100%. It can be concluded that by applying the Teams Games Tournament learning model, it can improve the collaboration skills and learning outcomes of students in class V.A. SDN 2 Loktabat Selatan through the combination of basic motions of walking, running, jumping, and throwing..Key words: Collaboration Skills, Learning Outcomes, Teams Games Tournament
Rheumatoid Arthritis – Is There a Role for Apitherapy? Analysis of Books Written by Apitherapists Shows that Most Recommendations are Not Evidence-Based
Authors: MÜNSTEDT Karsten
Published: December 2022

Apitherapy is a therapeutic approach based on the use of beehive products. It is frequently suggested for the treatment of rheumatoid arthritis. This study was to assess the recommendations of apitherapists regarding the treatment of rheumatoid arthritis. 129 books written by apitherapists were reviewed regarding their recommendations for rheumatoid arthritis. These recommendations were compared to the findings of preclinical and clinical studies on the subject. Sixty-eight (52.7%) of the books mention the topic of rheumatoid arthritis and there were 44 different recommendations. They include all bee products (honey, pollen, propolis, etc.) but mainly bee venom (15 times) and royal jelly (5 times). Bee venom acupuncture (apipuncture) is mentioned only once. Compared to analyses from the scientific literature, only bee venom but mainly apipuncture are supported. This analysis shows that the majority of apitherapeutic books do not provide adequate information. However, some reports supported the scientific evidence that bee venom and apipuncture could be an interesting means of treatment of rheumatoid arthritis but more and higher quality clinical investigations are necessary.
Public acceptance of 'retro' game images32)
Authors:   The Institute of Humanities at Soonchunhyang University, Kim Daebang
Published: December 2022

This study tracks the 'retro' culture that is creating a worldwide craze. And it's done as the way that analyzes the retro image of the game in the course of the study. Retro's meaning is interpreted as 'retro style'. However, simply interpreting the meaning of the current retro as 'retro' would miss out on many cultural meanings. For example, using images of the past now is easy to think that the public of the past is reminiscing about the past. However, today's retro culture includes not only the past but also the modern public. In other words, retro culture encompasses includes both new and old generations, and various cultural products (games, movies, fashion, etc.) are transforming and playing with them. The rise of retro culture takes up the large portion of categories ranging from cultural, large industrial, and popular play culture. Therefore, Study about the retro culture and its related images can be understood as a reflection of society and a response of the public. This trend is also happening in game culture. In the game industry, we have been immersed in developing games that are close to reality. However, the recent remastered version of the classic game offers new enjoyment. Games like this strongly contain the sentiment of nostalgia. Therefore, in this study, first, based on nostalgia and retro culture, the cultural meaning of the appearance of retro games is interpreted. This is because low-resolution graphics in the past are key to the trend of retro games. Second, it will go through the process of analyzing retro game images. This is because the current trend of retro games is creating pleasure and fun in the process of finding and restoring images of past game culture. Therefore, in the future, retro games will continue to exist as games that provide new enjoyment to the public.
Cognitive neuroscience
Authors: Aguadero Ruiz Paula
Published: December 2022

With the objective to demonstrate the real hidden capacities of reading in students with difficulties of learning such as dyslexia with the use of videogames, we have carried out a study with grammar education students. In order to do this, we have revised some literature to present and justify the real case study of an 8-year-old child with reading difficulties. Videogames have been used to show how he has improved his learning. To do this, we have tested his capacities with a standarized reading test (DIP-le) and we have done a follow-up with a videogame called DytectiveU, which is supposed to overcome his dyslexia. We have verified, with he same test, that the more the child plays this game, the better reading capabilities and abilities he develops. Finally, we demonstrate and verify the benefits of using videogames in psycopedagogical diagnosis and psycopedagogical tracing. We expect to increase the use of videogames in psycopedagogical clinics due to their great benefits.
Use of ICT and social networks in the neurodevelopment of minors
Authors: Ávalos Ruiz Inmaculada , Cuevas López Mercedes , Lizarte Simón Emilio Jesús , López Rodríguez Slava
Published: December 2022

The presence of technologies in all areas and stages of life increases the risk of addiction to devices, networks, and the use of various programmes. Excessive use of devices and technologies during childhood and adolescence has negative effects on neurodevelopment and causes emotional disorders related to anxiety, stress, and depression. These disorders can be associated with the development of other addictions (alcohol, psychoactive substances) or other situations of risk of social exclusion such as bullying, among others. In our study of the risk of social exclusion in adolescents (ÁVALOS, 2022) we have applied a complete diagnostic battery to 25 subjects of both sexes between 12 and 17 years of age focusing on six dimensions of risk: anxiety and depression, alcohol and other substance abuse, bullying, addiction to technologies, gender violence and risk behaviour in love and sexual relationships, and difficult family situation. The aim of this paper is to present and analyse the correlations found between each of the first three dimensions, and the technology addiction dimension as a predictor of other risk factors for social exclusion. The data show that addiction to video games, in particular, is related to high levels of depression, while addiction to any of the technologies studied (mobile, internet and video games) is significantly related to being a victim of bullying.
Combining 360° Video and Camera Mapping for Virtual Reality: An Innovative Solution
Authors: Sun Hung , Tsai Tsun-Hung , Jiang Ke
Published: December 2022

Changing the framework of traditional video with limited viewing angles, 360° photo/video provides an immersive viewing experience. 360° video is one of the applications and the most important feature of virtual reality for immersion and the feeling of being in another space. However, when viewing 360° videos with a head-mounted display, the viewer feels like a fixed rotatable camera, and the viewer's movement does not change the viewing angle of the object, which greatly reduces the spatial immersion required for virtual reality. Therefore, we propose a solution that maintains high-quality graphics and low hardware demands and supports 6DoF head-mounted displays. Through the camera mapping function in the 3D animation software, 360° surround video is projected into a 3D sphere to create a simple 3D object that corresponds to the shape of the object in the image. With pristine video quality and a realistic 3D spatial perspective, it provides better virtual reality immersion than 360° video and is not as complex as a full 3D virtual reality environment. In the future, 3D scanning and photogrammetry can be integrated to reconstruct a more easily applied 3D virtual reality environment.
PRZETWORNIK CZĘSTOTLIWOŚĆ-KOD Z BEZPOŚREDNIĄ TRANSMISJĄ DANYCH
Authors: Warda Piotr
Published: December 2022

Częstotliwość sygnału jest w technice pomiarowej jednym z popularniejszych nośników informacji. Do konwersji częstotliwości w wartości liczbowe używa się układu zwanego przetwornikiem częstotliwość-kod. Przetworniki częstotliwość-kod zwykle pracują w trybie rejestratora określonej liczby okresów badanego sygnału. Często jest to układ oparty o mikrokontroler wykorzystujący wbudowaną pamięć do gromadzenia danych pomiarowych. Rozmiar pamięci ogranicza możliwości pomiarowe przetwornika. W artykule zaprezentowano opracowanie przetwornika częstotliwość-kod przesyłającego bezpośrednio dane pomiarowe do komputera nadrzędnego bez gromadzenia wyników w pamięci RAM przetwornika. Zaprezentowano algorytm pracy przetwornika. Przedstawiono wyniki przeprowadzonych eksperymentów pomiarowych dla przykładowych przebiegów o stałej i zmiennej częstotliwości. Przedstawiono analizę metrologiczną wyników.
Analysis of the graphical user interface of the online store, taking into account the methods of universal design
Authors: Altmajer Cezary , Błażewicz Piotr , Skublewska-Paszkowska Maria
Published: December 2022

Universal design is a philosophy of creating various products and the environment to adapt to the most comprehensive possible group of recipients. This article aims to compare interfaces with the principles of universal design and application interfaces that ignore such principles. After the literature review, the following research hypotheses were posed: “Higher interface contrast affects the visibility and speed of searching for individual elements of user interface” and “The arrangement of interface elements has a significant impact on navigating the website”. The research was conducted on two websites. The Empik storefront was a webservice that did not comply with universal design principles. The application that follow the regulations of universal design was created for the purpose of research. Three methods of measuring the quality of interfaces were used in the study: WAVE tool, eye-tracking tests, and subjective assessment using the LUT questionnaire (Lublin University of Technology). Eye tracking study showed that participants needed an average of 2 times less time to locate elements on a high-contrast interface and 4 times less time to locate all components placed compliant with generally accepted design standards.
Translation Mistakes of Arabic Poem into Tamil: The Undergraduates of the Department of Arabic Language, South Eastern University of Sri Lanka as a Model
Authors: Mohammed Aaqil Abdul Majeed
Published: December 2022

This study intends to pinpoint the mistakes made when translating the selected poetry into Tamil and to highlight the translation techniques used by South Eastern University of Sri Lanka's Department of Arabic language students. This research uses descriptive analytical methods. The data for this research was collected through the field and library. The primary data was collected from the questionnaires distributed among 100 third-year students from the Department of Arabic Language randomly. The library method consists of books, research, articles, and web articles. To obtain accurate scientific results, MS Excel is used. The findings of this study show that the students translated the poems to a medium level accurately. And they erred in these areas: selecting the appropriate words based on the poetic text's context; providing the proper meaning; determining the pronoun's reference; and considering the context of the source and target languages. They studied this poetry line by line, but regrettably missed the chance to apply. Due to this circumstance, they have limited knowledge of poetic works and a reluctance to study Arabic literature. Arabic literature lecturers must be proficient in the use of proper teaching strategies and get classroom work when studying poetic texts. For them to completely comprehend poetry texts, it is preferable to include background knowledge. This research finds that that students' mastery of translation criteria or requirements helps them to translate correctly.
A Proposal for Chinese Pedagogy on the Metaverse Platform: Focused on the ‘Chinese Vocabulary and Culture’ course at D University
Authors:   The Society For Chinese Humanities In Korea, . . , . .
Published: December 2022

The purpose of this study is to propose a Chinese teaching-learning method using the metaverse platform, focusing on the 'Chinese vocabulary and culture' course at D University. In this paper, first, we explore the characteristics and utilization plans of the metaverse platform. When the metaverse platform is used in education, there are advantages of playfulness, realism, creativity, connectivity, and economic feasibility. ZEP is a free service and an open metaverse that supports mobile and PC. ‘Chinese Vocabulary and Culture’ is a subject that understands Chinese society, psychology, institutions, and habits through Chinese social culture included in Chinese vocabulary. For example, the first stage is the “entry” stage on the platform and the stage of guessing and finding out the source of the idiom through the image of 不恥下問. The second stage is the another outer space of learning a related story of 不恥下問. The third stage is the internal space of learning and practicing the original meaning of 不恥下問. The fourth stage is the evaluation stage that the learning contents are briefly checked by using OX quizzes among the functions of ZEP. First of all this study is meaningful in that it is a proposal for Chinese education using ZEP, an open metaverse platform in Korea. Second, it expanded the educational content to Chinese vocabulary and culture on metaverse platform. Third, it can help learners to induce a sense of achievement and motivation for learning Chinese.
After the Reformation and Opening-up Period, the Revival of the Mazo Faith and the Reconstruction of Traditional Chinese Culture
Authors:   The Society For Chinese Humanities In Korea, . .
Published: December 2022

After the establishment of the People's Republic of China in 1949, the Chinese government implemented a three-no-policy that refused to trade, pass, and communicate with Taiwan. In addition, Chinese in China were classified as bourgeoisie and suppressed as a reaction to the socialist revolution. However, as DengXiaoping pushed for a reform and open-door policy in 1978, the Chinese government announced a series of economic preferential measures to entice overseas Chinese to invest capital in China. In addition, the government adopted a fiscal decentralization system that minimizes central government interference and empowers local governments, allowing the function of the market economy system to expand. Against this backdrop, the Fujian government actively promoted the inflow of Taiwanese and Chinese capital and human exchanges through cooperation with the Mazo faith organization, and through this, it focused on rebuilding the Mazu faith and cultural customs that were destroyed during the Cultural Revolution. In this process, the masochistic faith gradually changed from the realm of private religion to the realm of traditional culture. Therefore, this study aims to examine the inflow of Chinese capital and the reconstruction of Chinese culture by analyzing the revival process of the Mazu faith originated in Fujian Province.
Programa de Educación Musical y Habilidades Sociales
Authors: Benavides López Mario Efraín , Frastro Rojas Mireya
Published: December 2022

En la actualidad, la educación musical está tomando gran importancia en los procesos formativos de estudiantes en niveles escolares. Esto se ha evidenciado gracias a diversos estudios realizados en numerosos campos del conocimiento, los cuales, justifican su aplicación y han demostrado sus beneficios en aspectos tanto artísticos pertenecientes a la propia disciplina, como en aspectos no considerados comúnmente en la misma. Dentro de esos aspectos, las habilidades sociales reconocidas como un elemento crucial en el desarrollo integral del estudiantado desde hace algunos años, se han visto beneficiadas, a tal punto que, en algunos casos, se ha llegado a fortalecer, restablecer tejidos sociales desde diferentes campos de acción, por medio de programas de intervención en instituciones educativas, en comunidades en situación de vulnerabilidad, o que han sido afectadas por diversos tipos de violencia. En este trabajo se presentan los resultados de la aplicación de un programa de Educación Musical y Habilidades Sociales titulado “desde los verdes de la venta” en adolescentes de entre los 12 y 14 años de edad de básica secundaria de la Institución Educativa Juanambú del municipio de la Unión, departamento de Nariño, Colombia. Se utilizó una metodología mixta, se determinaron las categorías conceptuales y el sistema de variables, para luego elegir las actividades que conforman el programa. El estudio fue cuasi experimental, descriptivo, transversal, con dos grupos, uno experimental y otro de control, en pre test – pos test, comparando el impacto del programa de educación musical en sus habilidades sociales. Teniendo en cuenta la información obtenida, se pudo establecer que el impacto del programa fue positivo, las actividades propuestas y el trabajo realizado durante el periodo de intervención contribuyeron con la mejora de las habilidades sociales trabajadas con el grupo experimental.
Las redes sociales y académicas en la visibilidad de las publicaciones científicas
Authors: Picón Gerardo Armando
Published: December 2022

Las redes sociales y académicas se han convertido en una opción para el incremento de la visibilidad de las publicaciones científicas conformando una alternativa para potencializar la visibilidad, a través de intercambio de información científica entre los investigadores. Al considerarse plataformas de contenido abierto los investigadores y académicos pueden conectarse y desarrollar ejercicios de colaboración con pares, coautores y expertos en la disciplina relacionada. Dentro de las redes sociales cuentan LinkedIn, Twitter, YouTube o Facebook o blogs. En los tipos de redes académicas se incluye Google Scholar que es un motor de búsqueda web de textos completos académicos, ResearchGate que es una red social profesional y académica entre otras. Los servicios de redes sociales ofrecen posibilidades para mejorar la visibilidad de la investigación, no solo permiten difundir y compartir los resultados de estudios, sino también intercambiar puntos de vista sobre temas relacionados con la investigación de otros académicos y profesionales.
Re-Label Is All You Need
Authors: Guo Tong
Published: December 2022

In industry deep learning application, our manually labeled data has a certain number of noisy data. To solve this problem and achieve more than 90 score in dev dataset, we present a simple method to find the noisy data and re-label the noisy data by human, given the model predictions as references in human labeling. In this paper, we illustrate our idea for a broad set of deep learning tasks, includes classification, sequence tagging, object detection, sequence generation, click-through rate prediction. The experimental results and human evaluation results verify our idea.
AI-based Dynamic web server for real-time classification of raw genome sequences of ESKAPEE pathogens
Authors: Mishra Sarthak , Sharma Priyanka , Jabin Suraiya , Ahmad Sumaiya , Srivastava Divanshu , Tiwari Krishna Mohan , Khan Arzoo , Singh Pulkit , Kaur Punit , Singh Harpreet
Published: December 2022

It's a collaborative effort of JMI, AIIMS, and ICMR, New Delhi, India.

"Dynamic Web Server for ESKAPEE Pathogen classification" is the deployment of a robust machine learning model which accepts raw clinical sequences i.e. SRA data in the fast/fq format, and classifies it into 8 classes of Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, Enterobacter species, E. coli (i.e. ESKAPEE) and non-ESKAPEE that consists of Human DNA, Fungi, and bacteria other than ESKAPEE.
Intraoperative Hypotension Prediction Based on Features Automatically Generated Within an Interpretable Deep Learning Model
Authors: Hwang Eugene , Park Yong-Seok , Kim Jin-Young , Park Sung-Hyuk , Kim Junetae , Kim Sung-Hoon
Published: December 2022

Monitoring arterial blood pressure (ABP) in anesthetized patients is crucial for preventing hypotension, which can lead to adverse clinical outcomes. Thus, several efforts have been made to develop an artificial intelligence-based hypotension prediction index. Nevertheless, the use of these indices is limited because they may not provide a convincing interpretation of the association between predictors and hypotension. Herein, we developed an interpretable deep learning model that forecasts hypotension occurrences 10 min before a given 90 s ABP record. Internal and external validations of model performance reported the area under the receiver operating characteristic curve (AUC) as 0.9145 and 0.9035, respectively. Furthermore, the hypotension prediction mechanism can be physiologically interpreted by using predictors representing ABP trends that are automatically generated in the proposed model. Ultimately, we demonstrate high-applicability of a deep learning model that has a high accuracy performance and provides an interpretation of the association between ABP trends and hypotension in clinical practices.
Where are the female professors in STEM?
Authors: Jaccheri Letizia , Cutrupi Claudia Maria , Diaconu Mara Gabriela , lenarduzzi valentina , Szlavi Anna , Takaoka Alicia Julia Wilson
Published: December 2022

When Letizia Jaccheri became department head, she realized that she was the only female in both the leader group of her Science, technology, engineering, and mathematics (STEM) faculty and in the leader group of her department of computer science. While the percentage of female students in STEM at the university had reached almost 30% thanks to actions to which she had contributed for almost 20 years, the number of female professors in STEM was only 13%. It was then that the idea of the IDUN project was born. The central measure in the project was the employment of nine female adjunct professors, at least one at each of the seven institutes of the faculty. IDUN provided training for these professors to become role models and mentors for 3-5 mentees each. The present paper aims to give a summary of the project, as well as looking at the consequences and future implications. 
Digital Camera-based Eye Movement Assessment Method for NeuroEye Examination
Authors: Hassan Mohamed Abul
Published: December 2022

In this article, I/We report a novel eye-movement assessment method using a digital camera to measure eye conjugacy in healthy individuals while performing a neurological examination. This is clinically significant because this approach overcomes the limitations of complex and expensive setups (e.g., infrared cameras) that often make it impractical to scale up and translate to clinical use. Moreover, this approach removes the need for a calibration procedure which has caused prior studies to exclude participants, potentially introducing selection bias and limiting generalizability. Our study suggests that this technology could be deployed for clinical use in the clinic or pre-hospital setting, including telemedicine or emergency medical services (EMS) encounters to detect neurological injury or diseases that cause neuro-ocular deficits, like stroke. 
M-ary Aggregate Spread Pulse Modulation with pulse-shaping power control for highly scalable LPWANs
Authors: Nikitin Alexei , Davidchack Ruslan
Published: December 2022

M-ary Aggregate Spread Pulse Modulation (M-ASPM) is the physical layer (PHY) modulation technique that is well suited for use in low-power wide-area networks (LPWANs). Notably, M-ASPM combines high energy-per-bit efficiency, robustness, resistance to interference, and a number of other favorable technical characteristics, with the spread-spectrum ability to maintain the capacity of an uplink-focused network while extending its range. However, when all M-ASPM nodes transmit with the same average power, implementation of such capacity-preserving range extension may become impractical in complicated propagation environments with greatly varying path losses. Favorably, the efficiency of M-ASPM with constant-envelope pulses can be maintained effectively the same as the efficiency of transmitting a continuous constant-envelope waveform. Then the transmit power of different nodes can be adjusted, without sacrificing the transmission efficiency, to compensate for differences in the path attenuation. This enables us to significantly simplify planning and management of the network. In addition, such a variable-power approach generally increases the network capacity and the average energy efficiency of the nodes, as compared with the arrangement of the nodes with a constant transmit power. In this paper, we outline a practical approach to implementing such an energy-efficient M-ASPM power control, that can be used for scaling LPWANs with realistic desired and/or actual areal distributions of the uplink nodes under diverse propagation conditions.
Diverse Bayesian Active Learning with Simulated Annealing for Probabilistic Sampling
Authors: Sastry Srikumar , Belgiu Mariana , maretto raian vargas
Published: December 2022

We propose a simple yet highly efficient and robust active learning (AL) framework for image classification. Most of the existing AL strategies are either not scalable with increasing acquisition batch sizes or not robust to noise. They select samples greedily without considering the acquisition state of previous iteration. Further, very little focus has been given to the selection of the initial seed set for active learning. In this work, we propose a new framework that combines simulated annealing within AL to select those samples which improve their acquisition cost in the previous iteration. A convex combination of a diversity measure and an uncertainty measure is used as the acquisition cost. The diversity measure ensures consistent prediction of samples lying farthest from the decision boundaries and, eventually, an unbiased estimation of uncertainty. We demonstrate the efficiency and robustness of our proposed framework over the current state of the art AL strategies using Bayesian CNNs.
Simultaneous Suppression of Thermal Phase Noise and Relative Intensity Noise in a Fiber Optic Gyroscope
Authors: Takei Nobuyuki , Miranda Martin , Miyazawa Yuki , Kozuma Mikio
Published: December 2022

The short-term sensitivity of a several-kilometers long fiber-optic gyroscope is limited mainly by thermal phase noise and relative intensity noise. Increasing the phase modulation frequency decreases the thermal phase noise but not the relative intensity noise since it behaves as white noise. Here, we propose and experimentally demonstrate that the angular random walk can be effectively decreased by suppressing relative intensity noise at the modulation frequency and its third-order harmonic using direct feedback to the drive current of a superluminescent diode. Our simultaneous suppression of thermal phase noise and relative intensity noise yields an angular random walk of 15 μdeg/√h and a bias instability of 33 μdeg/h using a fiber coil with a length of 5km and an effective area of 280m2 for a measurement time of 40 hours.
Phase-based Distance Estimation Integrated With IEEE 802.15.4 TSCH Communication
Authors: Morano Grega , Guan Ke , Hrovat Andrej , Javorik Tomaž
Published: December 2022

Current solutions for distance estimation using the IEEE 802.15.4 TSCH standard mainly focus on improving localization performance, but in turn reduce communication performance. In this paper, we propose a novel improvement to the TSCH protocol that enables distance estimation between two devices without compromising the ongoing communication. We further improve the current state-of-the art phase-based distance estimation algorithm by combining conclusions from several research works into a single solution, that reduces energy consumption while maintaining the accuracy and sensitivity of the distance estimation results. We implemented the proposed method in the Contiki-NG OS and created a real-world measurement campaign to study the impact of the proposed solution on communication and energy consumption, which is of great concern in low-power IoT networks.
The importance of Weber-Maxwell electrodynamics in electrical engineering
Authors: Kühn Steffen
Published: December 2022

Weber-Maxwell electrodynamics combines classical Weber electrodynamics and Maxwell's equations, including all four field equations and the Lorentz force, into a single de facto equivalent three-dimensional wave equation. From classical Weber electrodynamics, Weber-Maxwell electrodynamics inherits properties in which the concept of the magnetic field is unnecessary, and Newton's third law is satisfied under all circumstances. From Maxwell's electrodynamics, Weber-Maxwell electrodynamics inherits the ability to be compatible with electromagnetic waves. This article shows that in Weber-Maxwell electrodynamics, all conservation laws are satisfied, and that electromagnetic waves in an isolated system do not possess energy and momentum, but only mediate them between particles of matter. Furthermore, the article shows that the modern formulation of Weber electrodynamics is clearly superior to standard electrodynamics in electrical engineering, because it not only eliminates the internal contradictions, but also represents considerable simplification and compression.
Chance-Constrained Planning for Dynamically Stable Motion of Reconfigurable Vehicles
Authors: Song Jiazhi , Sharf Inna
Published: December 2022

In this paper, a computationally efficient chance-constrained rollover-free motion planning method is presented. Specifically, the method is developed to plan motions for reconfigurable vehicles with the knowledge of a 3-D terrain model that has limited accuracy. The overall motion planning problem is formulated as a nonlinear optimal control problem (NOCP) that employs a constraint in the form of a bound on the probability of rollover under terrain-induced vehicle orientation uncertainty. To increase the computational efficiency of the NOCP, a geometric interpretation of the chance constraint is derived based on the characteristics of SO(3), the 3-D rotation group. Monte Carlo simulations are provided to demonstrate the usefulness of the geometric interpretation through comparisons with other methods. Experimental data gathered from driving a mobile robot through real forests are also used to validate the proposed model. Finally, path and trajectory generation results obtained with the proposed planning method for a feller-buncher machine traversing through uncertain 3-D terrain are presented to showcase the method's overall performance and efficiency.
YourMT3: a toolkit for training multi-task and multi-track music transcription model for everyone
Authors: Chang Sungkyun , Dixon Simon , Benetos Emmanouil
Published: December 2022

(Poster) Presented at DMRN+17: Digital Music Resea
Multi-step-ahead Stock Price Prediction Using Recurrent Fuzzy Neural Network and Variational Mode Decomposition
Authors: Nasiri Hamid , Ebadzadeh Mohammad Mehdi
Published: December 2022

Financial time series prediction, a growing research topic, has attracted considerable interest from scholars, and several approaches have been developed. Among them, decomposition-based methods have achieved promising results. Most decomposition-based methods approximate a single function, which is insufficient for obtaining accurate results. Moreover, most existing researches have concentrated on one-step-ahead forecasting that prevents stock market investors from arriving at the best decisions for the future. This study proposes two novel methods for multi-step-ahead stock price prediction based on the issues outlined. DCT-MFRFNN, a method based on discrete cosine transform (DCT) and multi-functional recurrent fuzzy neural network (MFRFNN), uses DCT to reduce fluctuations in the time series and simplify its structure and MFRFNN to predict the stock price. VMD-MFRFNN, an approach based on variational mode decomposition (VMD) and MFRFNN, brings together their advantages. VMD-MFRFNN consists of two phases. The input signal is decomposed to several IMFs using VMD in the decomposition phase. In the prediction and reconstruction phase, each of the IMFs is given to a separate MFRFNN for prediction, and predicted signals are summed to reconstruct the output. Three financial time series, including Hang Seng Index (HSI), Shanghai Stock Exchange (SSE), and Standard & Poor's 500 Index (SPX), are used for the evaluation of the proposed methods. Experimental results indicate that VMD-MFRFNN surpasses other state-of-the-art methods. VMD-MFRFNN, on average, shows 35.93%, 24.88%, and 34.59% decreases in RMSE from the second-best model for HSI, SSE, and SPX, respectively. Also, DCT-MFRFNN outperforms MFRFNN in all experiments.
Understanding the Deltoid Phenomenon in the Perspective 3-Point Problem
Authors: Rieck Michael
Published: December 2022

Concerning the Perspective 3-Point (P3P) Problem, Grunert's system of three quadratic equations has a repeated solution if and only if the cubic polynomial introduced by Finsterwalder has a repeated root. This polynomial is here shown to be obtainable from a particularly simple cubic polynomial with complex coefficients via a simple Möbius transformation. This provides surprising geometric insight into the P3P problem. In particular, (1) the discriminant of Finsterwalder's polynomial can be written using the formula for the standard deltoid curve, and (2) this discriminant vanishes on a surface that approaches a deltoid shape when the camera is moved infinitely far from the control points in a direction perpendicular to the control points plane (the "limit case"). These two facts have been previously reported, but obscure reasoning was required to establish them. In contrast, the present article uses the newly discovered cubic polynomial to easily produce the first fact, which then provides a basis for better understanding the second fact. A detailed geometric description of the P3P solution points in the "limit case" is also provided.
Fast Ocean Front Detection Using Deep Learning Edge Detection Models
Authors: Felt Violet , Kacker Shreeyam , Kusters Joe , Pendergast John , Cahoy Kerri
Published: December 2022

Small-scale ocean fronts play a significant role in absorbing the excess heat and CO2 generated by climate change, yet their dynamics are not well understood. Existing in-situ and remote sensing measurements of the ocean have inadequate spatial and temporal coverage to map small-scale ocean fronts globally. Additionally, conventional algorithms to generate ocean front maps are computationally intensive and require data with long lead times. We propose machine learning (ML) models to detect temperature and chlorophyll ocean fronts from unprocessed and radiometrically uncorrected satellite im- agery by transfer learning from existing models for edge detection. We use two separate datasets: one based on conventional approaches to ocean front detection, and a second based on human annotated ground truth1. The deep learning front detection approach significantly reduces the resources and overall lead times needed for detecting ocean fronts. The deep learning models are developed with resource-constrained edge compute platforms like CubeSats in mind, as such platforms can address the spatial and temporal coverage challenges. The highest performing models achieve accuracies of 96% and make predictions in milliseconds using unoptimized desktop CPUs and using less than 100 MB of storage; these capabilities are well- suited for CubeSat deployment. 
Algorithm-Aware Qubit Mapping
Authors: Ji Yanjun , Polian Ilia
Published: December 2022

Algorithm-aware (AlgAw) qubit mapping aims at directly providing the solutions to qubit mapping of algorithms with regular structures based on the algorithm's features. Although exact methods can provide high quality solutions, their compilation time grows exponentially with circuit size. To improve scalability, we propose the AlgAw qubit mapping approach. The main idea is to first identify subcircuits in an algorithm to be mapped, then analyze optimal solutions for small scale subcircuits found by exact methods, extend these solutions to large scale subcircuits, reconstruct the entire circuit and assign parameters, and finally map pretranspiled circuits onto the target quantum devices. Applying AlgAw to the quantum approximate optimization algorithm (QAOA) on linear and T-shaped subtopologies produces optimal and scalable solutions for arbitrary numbers of qubits and depths, which is critical to the algorithm's performance on near-term quantum devices. Compared to other methods including Qiskit, Tket, and SWAP-network, AlgAw produces the least number of CNOT gates and the lowest circuit depth for the pretranspiled circuits. Furthermore, AlgAw takes only a few seconds to construct a resulting circuit having a hundred qubits. The benchmarking results on IBM quantum devices show that AlgAw qubit mapping yields better performance than others. AlgAw is applicable to other variational quantum algorithms (VQAs) and can also be applied to other algorithms.
Engineering Education in the Era of ChatGPT: Promise and Pitfalls of Generative AI for Education
Authors: Qadir Junaid
Published: December 2022

Engineering education is constantly evolving to keep up with the latest technological developments and meet the changing needs of the engineering industry. One promising development in this field is the use of generative artificial intelligence technology, such as the ChatGPT conversational agent. ChatGPT has the potential to offer personalized and effective learning experiences by providing students with customized feedback and explanations, as well as creating realistic virtual simulations for hands-on learning. However, it is important to also consider the limitations of this technology. ChatGPT and other generative AI systems are only as good as their training data and may perpetuate biases or even generate and spread misinformation. Additionally, the use of generative AI in education raises ethical concerns such as the potential for unethical or dishonest use by students and the potential unemployment of humans who are made redundant by technology. While the current state of generative AI technology represented by ChatGPT is impressive but flawed, it is only a preview of what is to come. It is important for engineering educators to understand the implications of this technology and study how to adapt the engineering education ecosystem to ensure that the next generation of engineers can take advantage of the benefits offered by generative AI while minimizing any negative consequences.
Spectral-Temporal Saliency Masks and Modulation Tensorgrams for Generalizable COVID-19 Detection
Authors: H. Falk Tiago
Published: December 2022

Speech COVID-19 detection systems have gained popularity as they represent an easy-to-use and low-cost solution that is well suited for at-home long-term monitoring of patients with persistent symptoms. Recently, however, the limited generalization capability of existing deep neural network based systems to unseen datasets has been raised as a serious concern, as has their limited interpretability. In this paper, we propose two innovations to help overcome these issues. First, we propose the use of a 3-dimensional modulation frequency tensor (called modulation tensorgram representation, MTR) as input to a convolutional recurrent neural network for COVID-19 detection. The representation is known to provide robustness against different environmental factors seen across datasets. Next, we propose the use of spectro-temporal saliency masking to aggregate regions of the MTR related to COVID-19, thus helping further improve the generalizability and interpretability of the model. Experiments are conducted on three public datasets and results show the proposed solution consistently outperforming two benchmark systems in within-, across-, and unseen-dataset tests. The proposed method relies on a similar number of parameters to the benchmark, thus a promising solution for at-home monitoring of COVID-19 infection. 
The Role of Egyptian Workers in World War II
Authors: Intidhar Hadi Jassim  , Qabass Natiq Mohammed
Published: December 2022

The Egyptian labor movement is the oldest trade union movement in the Arab region. Beside, the labor movement in any society is, in fact, only a reflection of the extent of awareness of that class in that society. Such a comparison is based on the degree of social growth the working class has reached. Moreover, the Egyptian working class was characterized by modernity in its inception compared to other social forces and classes. In addition, its development is linked to the level of industrial development of the country. The peasants and craftsmen were the mainstay of production in the Egyptian society over several centuries. The labor union movement also represents the human aspect of the labor force when it encounters and interacts with other social, economic and political forces, meaning that trade unions are the human and popular aspect of economic and political history. Based on the foregoing, the research aims to highlight the main problems and obstacles that faced the labor movement, which was represented by the governmental and party authority with the British colonialism. Based on this, the paper aims to examine the role of labor movement during the Second World War and how it worked to save workers from the economic exploitation and enabled them to obtain their legitimate rights and stand before the capitalists who owned capital. In addition, the Second World War was considered for the working class a psychological school for vocational training and an intellectual school for understanding new principles that the colonialists were working to spread among the Egyptian people during the war period. Accordingly, the researchers adopted the descriptive historical approach scientifically to maintain later the analytical approach. In the light of that, a set of conclusions has reached, such as: The struggle movement of the labor movement is not limited to the workers’ specific demands, but rather extends to struggle for the cause of the homeland (the cause of independence and national liberation).
Mechanisms of Including the Skills of 21st Century in the Educational Competencies of the Basic Education Stage: Kingdom of Bahrain as an Example
Authors: Nouf Al-Moray
Published: December 2022

The study aims to set an image to the mechanisms of the skills of the 21st century in the educational competencies of the basic education stage. To achieve this aim, a qualitative research design has been adopted in its analytical content analysis way. The study has arrived to the following conclusions:  the availability of: the communicative and team work skills with a percentage of 25.9%, linguistic competency with a percentage of 24.6%, the skills of local and global citizenship, creativity, and problem solving with a percentage of 13.6%, critical thinking with a percentage of 10.38%, technological culture with a percentage of 5.8%, pioneerism and initiativeness with a percentage of 10.38%, technological culture with a percentage of 3.8%, leadership and decision making with a percentage of 1.9%, the competencies of mathematics, which is mostly full of skills-  with a percentage of 37.5%%, Arabic language with 32.3%, English language with 13.5%, and science with 16.5%. As for the competencies attached to the third circle, they are considered highly full of skills with a percentage of 38.35, followed by the first circle with a percentage of 31.8%, and finally come the competencies attached to the second circle with a percentage of 29.8%. Based on these results, the research has set qualitative and quantitative mechanisms to include the skills of the 21st century regarding the educational competencies. It has further recommended checking the main and subsidiary educational competencies of the other subjects and the competencies of the secondary education to maintain including all the skills of the 21st century.
Constructing Imminent Carcinogenic Attack in English and Arabic Scientific Discourse: A Corpus-Based Contrastive Study
Authors: Huda H. Khalil  , Nassier A. G. Al-Zubaidi
Published: December 2022

Cancer is one of the critical health concerns. Health authorities around the world have devoted great attention to cancer and cancer causing factors to achieve control against the increasing rate of cancer. Carcinogens are the most salient factors that are accused of causing a considerable rate of cancer cases. Scientists, in different fields of knowledge, keep warning people of the imminent attack of carcinogens which are surrounding people in the environment and may launch their attack at any moment. The present paper aims to investigate the linguistic construction of the imminent carcinogen attack in English and Arabic scientific discourse. Such an investigation contributes to enhancing the scientists’ awareness of the linguistic conduct they follow in attracting people’s attention towards the risk of the approaching attack. The linguistic awareness also helps maintain better promotion of people’s pre-emptive responses that can reduce the potential for cancer cases. To achieve this aim, the paper adopts dual methodological procedures of qualitative and quantitative analyses. Cap’s (2013) proximization theory of threat and crisis construction is adopted for both qualitative and quantitative procedures. The mathematical calculations and statistical results for discourses in both languages are maintained by corpus linguistic analysis using Anthony’s (2019) software, AntConc. The paper has come up to certain conclusions that shed light on the similarities and differences in the construction of the imminent carcinogen attack in both languages. English scientific discourse has shown more reliance on temporal proximization to envisage the imminent attack of carcinogens against human bodies. Categories 1, 2, 3 and 5 are all more dominant in the English scientific discourse. However, both English and Arabic discourses show diversity in the density and employment of the lexico- grammatical tools (categories) that manifest the carcinogen attack.