bluuebunny/crossref_metadata_2025_split huggingface dataset:
Will the Doctor “See” You Now? The Development and Implementation of a Targeted Telemedicine System for Primary Care
Authors: Epstein Jeremy A. , Lkhagvajav Zoljargal , Young Tempest , Bertram Amanda , Yeh Hsin-Chieh , Taylor Casey Overby 
Published: October 2023

Abstract
Objectives The coronavirus disease 2019 (COVID-19) pandemic led to a rapid adoption of telehealth. For underserved populations lacking internet access, telemedicine was accomplished by phone rather than an audio–video connection. The latter is presumed a more effective form and better approximation of an in-person visit. We sought to provide a telehealth platform to overcome barriers for underserved groups to hold video visits with their health care providers and evaluate differences between the two telehealth modalities as assessed by physicians and patients.
Methods We designed a simplified tablet solution for video visits and piloted its use among patients who otherwise would have been completing audio-only visits. Patients consented to participation and were randomized in a 1:1 fashion to continue with their scheduled phone visit (control) versus being shipped a tablet to facilitate a video visit (intervention). Participants and providers completed communication and satisfaction surveys.
Results Tablet and connectivity design features included removal of all functions but for the telemedicine program, LTE always-on wireless internet connectivity, absence of external equipment (cords chargers and keyboard), and no registration with a digital portal. In total, 18 patients were enrolled. Intervention patients with video-enabled devices compared to control patients agreed more strongly that they were satisfied with their visits (4.75/5 vs. 3.75/5, p = 0.02).
Conclusion The delivered simplified tablet solution for video visits holds promise to improve access to video visits for underserved groups. Strategies to facilitate patient acceptance of devices are needed to expand the scope and potential impact of this effort.
Controlled spherical deuterium droplets as Lagrangian tracers for cryogenic turbulence experiments
Authors: Bret Clément , Chartier Jérôme , Diribarne Pantxo , Duplat Jérôme , Rousset Bernard 
Published: October 2023

The study of the smallest scales of turbulence by (Lagrangian) particle tracking faces two major challenges: the requirement of a 2D or 3D optical imaging system with sufficiently high spatial and temporal resolution and the need for particles that behave as passive tracers when seeded into the flow. While recent advances in the past decade have led to the development of fast cameras, there is still a lack of suitable methods to seed cryogenic liquid helium flows with mono-disperse particles of sufficiently small size, of the order of a few micrometers, and a density close enough to that of helium. Taking advantage of the surface tension, we propose two different techniques to generate controlled liquid spherical droplets of deuterium over a liquid helium bath. The first technique operates in a continuous mode by fragmenting a liquid jet, thanks to the Rayleigh–Taylor instability. This results in the formation of droplets with a diameter distribution of 2 ± 0.25DN, where DN is the diameter of the jet nozzle (DN = 20 μm in the present experiment). This method offers a high production rate, greater than 30 kHz. The second technique operates in a drop-on-demand mode by detaching droplets from the nozzle using pressure pulses generated using a piezoelectric transducer. This approach yields a much narrower diameter distribution of 2.1 ± 0.05DN but at a smaller production rate, in the range 500 Hz–2 kHz. The initial trajectories and shapes of the droplets, from the moment they are released from the nozzle until they fall 3 mm below, are investigated and discussed based on back-light illumination images.
Molecular simulation of the confined crystallization of ice in cement nanopore
Authors: Zhu Xinping , Vandamme Matthieu , Jiang Zhengwu , Brochard Laurent 
Published: October 2023

Freezing of water under nanoconfinement exhibits physical peculiarities with respect to the bulk water. However, experimental observations are extremely challenging at this scale, which limits our understanding of the effect of confinement on water properties upon freezing. In this study, we use molecular dynamic simulations to investigate how confinement affects the kinetics of growth of ice and the thermodynamic equilibrium of ice-liquid coexistence. TIP4P/Ice water model and CSH-FF model were applied to simulate ice crystallization in a confined cement system at temperatures down to 220 K. We adapted an interface detection algorithm and reparameterized the CHILL/CHILL+ algorithm to capture ice growth. The confinement leads to a shift of the maximum growth rate of ice to a higher temperature than for bulk water. Both the confinement and surface impurities contribute to slowing down the ice growth. For the ice-liquid coexistence at equilibrium, we derive a formulation of Thomson’s equation adapted to statistical physics quantities accessible by molecular simulation, and we show that this adapted equation predicts accurately the melting line of bulk and confined ice Ih as a function of pressure. The confinement decreases systematically the melting temperature of ice of about 5 K compared with bulk ice Ih. A premelted water film about 1 nm thick is observed between the solid wall and ice, and its thickness is found to decrease continuously as temperature is lowered. We note that the surface impurities are key to the formation of the premelted water nanofilm when the temperature is lower than 250 K.
Interacting semi-flexible self-avoiding walks studied on a fractal lattice
Authors: Marčetić Dušanka 
Published: October 2023

Abstract
Self-avoiding walks are studied on the 3-simplex fractal lattice as a model of linear polymer conformations in a dilute, nonhomogeneous solution. The model is supplemented with bending energies and attractive-interaction energies between nonconsecutively visited pairs of nearest-neighboring sites (contacts). It captures the main features of a semi-flexible polymer subjected to variable solvent conditions. A hierarchical structure of the fractal lattice enabled the determination of the exact recurrence equations for the generating function, through which universal and local properties of the model were studied. An analysis of the recurrence equations showed that for all finite values of the considered energies and nonzero temperatures, the polymer resides in an expanded phase. The critical exponents of the expanded phase are universal and the same as those for ordinary self-avoiding walks on the same lattice found earlier. As a measure of local properties, the mean number of contacts per mean number of steps as well as the persistence length, are calculated as functions of Boltzmann weights associated with bending energies and attractive interactions between contacts. Both quantities are monotonic functions of stiffness weights for fixed interaction, and in the limit of infinite stiffness, the number of contacts decreases to zero, while the persistence length increases unboundedly.
XV International Conference on Mathematics, Science and Technology Education
Authors: Kiv A E , Semerikov S O , Striuk A M , Osadchyi V V , Vakaliuk T A , Nechypurenko P P , Bondarenko O V , Mintii I S , Malchenko S L 
Published: October 2023

Abstract
This paper introduces the Proceedings of the XV International Conference on Mathematics, Science and Technology Education (ICon-MaSTEd 2023), which took place at the Kryvyi Rih State Pedagogical University, Ukraine, from 17 to 19 May 2023. It provides background information and the organizational structure of the conference, as well as the structure of the proceedings. It also acknowledges the many people who contributed to the success of the conference.
The Wheel of Mathematics Learning Methods
Authors: Vlasenko K V , Lovianova I V , Chumak O O , Sitak I V , Kovalenko D A 
Published: October 2023

Abstract
The article is devoted to the creation of a wheel of mathematics learning methods. The study analyzed how Bloom’s taxonomy is used by the educational community. Special attention is paid to the study of the issue of bringing to a single system a set of disparate goals and tasks of learning in new models of education, which provide for the openness of learning to new technologies. Analysis of scientific works and resources helped to determine the structuring of the Wheel of Mathematics Learning Methods (WMLM). The authors of the article identified the areas of didactics that should fill the wheel: Competencies, Motivation, Bloom’s Taxonomy, Activities, and Technologies. A structured set of hints for the teacher is presented in the form of 5 sectors of the wheel: Apply, Analyze, Evaluate, Create, Remember Understand. Each sector is a set of constituent components Methods, Forms, Tools, Activities and Active Verbs. The analysis of the results of the survey of 58 respondents proved that Bloom’s taxonomy is important both in the selection of teaching methods and means and in the determination of effective forms of organization of educational activities. It was concluded that the idea of developing a methodology wheel should be based on the structuring of a set of tips for the teacher at all stages of activity from planning to implementation of mathematics education.
Interactive technology use during the study of the Universe
Authors: Malchenko S L , Poliarenko V S , Prykhozha Y O 
Published: October 2023

Abstract
The development of students’ key competences and their scientific worldview is one of the significant tasks of secondary education. Understanding of the Universe, its objects, structure and research methods is an important part of natural and mathematic worldview. Problem-based learning is a relevant form for develop critical thinking during the study of these topics in the course of astronomy. In the conditions of distant learning this can be realized with the help of interactive online platforms whereas practical tasks can be realized through the use of simulators, mobile and computer applications. This will contribute the development of students’ key competences and practical skills. This research offers to emphasize the Universe study and interactive technology use in order to develop research, information and digital competences as well as competences in natural sciences and technologies.
Analysis of the state of the art of modern e-learning in higher education in Germany
Authors: Osadcha K P , Osadchyi V V , Symonenko S V , Medynska S I 
Published: October 2023

Abstract
E-learning as a part of blended learning and a means for implementing distance learning, as well as an independent phenomenon of the modern information society, has been introduced and studied by researchers for several decades. In various countries, the relevance of e-learning and the use of e-learning tools in higher education have increased during the coronavirus pandemic. Different countries have their own approach and experience in using e-learning tools. Therefore, it is advisable to study it both for each country separately and in comparison. In the course of the research, the analysis of scientific publications on the topic of e-learning in higher education in Germany over the last 10 years has been made, which has shown certain changes in the interest in this issue of German scientists. The survey of students and teachers of the University of Konstanz (Germany) has been conducted regarding the use of e-learning tools and their attitude to e-learning. Despite the fact that the results of the analysis of the scientific works of German scientists show a drop in interest in e-learning problems in Germany and a slight rise during the coronavirus pandemic, the results of the survey indicate an unequivocal interest in e-learning tools of teachers. In general, it is possible to state the positive attitude on the part of teachers and uncertainty on the part of students.
Selection of pedagogical conditions for training STEM teachers to use augmented reality technologies in their work
Authors: Mintii M M , Sharmanova N M , Mankuta A O , Palchevska O S , Semerikov S O 
Published: October 2023

Abstract
The focus of the study is on choosing the pedagogical conditions that will best prepare STEM teachers to utilize augmented reality tools in their classrooms. 20 conditions were initially proposed during a brainstorming session and were then sorted into five groups: (1) conditions relating to the material support of the educational process, (2) methods and forms of training, (3) best practices for utilizing augmented reality in education, (4) unique circumstances made in order to achieve the goal of training STEM teachers; and (5) conditions relating to the psychological and pedagogical support of students. A survey was conducted with 94 participants to determine the importance of these conditions. The processing of the survey data allowed for the selection of the following conditions: (a) accessibility of immersive digital educational resources for STEM teachers and mobile hardware for augmented reality (laptops, tablets, smartphones, augmented reality glasses, etc.), (b) inclusion of augmented reality-related topics in STEM teachers’ curricula, (c) use of research methodologies and interactive technologies in the STEM classroom, (d) having hands-on experience with the use of augmented reality technologies in STEM instruction.
STEM education and personnel training: systematic review
Authors: Mintii M M 
Published: October 2023

Abstract
This article focuses on the generalization of foreign experiences in implementing STEM education and places particular emphasis on the areas of professional training for future teachers of STEM disciplines. By conducting bibliometric analyses of sources from Scopus (93 sources) and Web of Science (42 sources) scientometric databases, four clusters were identified using VOSviewer: 1) STEM education and training; 2) teacher training and primary education; 3) surveys on STEM education; and 4) e-learning and computational thinking in the training of future teachers of STEM disciplines. The research results demonstrate the importance and relevance of STEM education in various fields, and the leading role of the cluster “STEM education and training” has been determined based on the number and strength of links within the network of keyword links of sources on professional training of future STEM teachers. The discussion of the research findings highlights views on the prospects for STEM development in different countries. It is determined that: a) the professional training and social status of teachers are strategically important links in STEM education; b) teachers of “traditional” STEM disciplines (mathematics and natural sciences) require an increased level of knowledge in the field of information technology, particularly through the integration of programming as a component of STEM education; and c) social virtual reality platforms, hyperrealistic modeling, virtual laboratories, educational robotics, augmented, and mixed reality technologies are recommended to increase the motivation of pupils and students to study STEM disciplines.
Research on SOC estimation methods for power batteries
Authors: Liu Qian , Chen Gang 
Published: October 2023

Abstract
Accurate estimation of battery state of charge (SOC) can predict a car’s driving range, enabling drivers to select the optimal time for charging. However, the SOC estimation is challenging due to the high nonlinearity of various factors affecting SOC within the battery. This article estimates the real-time SOC value of hybrid electric vehicle power batteries using a neural network based on the temperature, current, internal resistance, voltage, and previous SOC of the battery. In addition, this article also used a genetic algorithm to optimize the BP neural network, effectively improving the prediction accuracy of SOC. The test results demonstrate that the optimized neural network achieved an estimation error of within 2%.
Economic Dispatch of Island Integrated Energy System Based on Ranking Group Learning Optimization Algorithm
Authors: Li Jian , Lu Yang 
Published: October 2023

Abstract
In order to improve the flexibility of the Island Integrated Energy System (IIES) and reduce operating costs, the Cooling Thermal and Electric three-load Demand Response (DR) are introduced into the IIES. Under the constraints of the output of each unit, this paper establishes a comprehensive energy economic dispatch model with the lowest total operating cost of the system as the objective function, and a Ranking Group Learning Optimization (RGSO) is proposed to optimize the output of each unit. In order to verify the effectiveness of the proposed model and algorithm, simulation experiments are carried out on the typical operating scenarios of the IIES in summer and winter, and the results are compared with those of the other five optimization algorithms. Experimental results show that the proposed algorithm has a good global convergence performance, and the computational cost is lower than the other five optimization algorithms.
Research on Orderly Charging Method of Electric Vehicles Based on Deep Reinforcement Learning
Authors: Wu Ning , Xiao Jing , Han Shuai , Wu Xiaorui , Gong Wenlan 
Published: October 2023

Abstract
Electric vehicle charging stations are vital for the integration of electric vehicles (EV) with the future energy internet. To minimize daily operating costs in the face of uncertain time-of-use pricing and user behavior, this paper proposes an ordered charging optimization strategy from the perspective of load aggregators. By modeling the optimization problem as a finite-horizon Markov Decision Process (MDP) and using a reward-penalty feedback function to extract high-quality experience, the optimal operating strategy can be obtained. Results show that the proposed strategy reduces daily operating costs, protects batteries, and meets the charging.
Method of Incomplete Leaf Recognition Based on Artificial Neural Network
Authors: Rao Zhimin , Li Yixiu , Mao Jiandong , Zhao Hu , Zhou Chunyan , Gong Xin 
Published: October 2023

Abstract
Plant classification is the basic work for plant research, and it is of great significance to explore the relationship among plants. It is the most direct, effective and simple method to classify and recognize plants by features of plant leaves. In this paper, the original photos of mulberry leaves, pear tree leaves, plum tree leaves, silver poplar tree leaves, spiraea leaves, willow leaves are collected, and an operation interface of the incomplete leaf recognition system was designed to process the original image of incomplete leaves. After various characteristic parameters of incomplete leaves are obtained, the species of incomplete leaves are recognized by artificial neural network. Experimental results show that this method can effectively identify incomplete leaves.
Non-spherical Particle Modelling Approach in Discrete Element Method and its Validations
Authors: Liu Cong , Wang Kang , Zhou Shen 
Published: October 2023

Abstract
The discrete element method (DEM) is widely used for investigating the mechanical behaviours of complex physical system consisting of particles. In nature, the physical system such as rock and soil system, sand or flour are all composed of particles with different shapes. The particle shape can considerably influence nature characteristics in DEM simulation. Developing an effective particle shapes representation approach is a valuable task to improve the DEM modelling techniques. In this study, a super-quadrics function is introduced to represent the non-spherical particle shape. Furthermore, the corresponding contact detection and calculation algorithm named “deepest point method” is also explained to describe the complex contact relationships and calculate the contact forces between two irregular particles. At last, sandpile collapse simulations were conducted to validate the accuracy of the proposed approach. The numerical results indicate that the non-spherical particle modelling approach in this study can easily simulate most nature shape of particle system.
Inequality and growth impacts of climate change—insights from South Africa
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Authors: Dasgupta Shouro , Emmerling Johannes , Shayegh Soheil 
Published: October 2023

Abstract
The impact of climate change on economic growth has been the subject of numerous studies in recent years, with macro-econometric analyses estimating the effect of rising temperatures on gross domestic product (GDP) growth rates at the country-level. However, the distributional impact of warming on inequality and poverty at the micro-level remains relatively unexplored. In this paper, we investigate the relationship between temperature and inequality in South Africa at the national and sub-national level. Our analysis reveals a significant

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-shaped relationship between temperature and inequality indices, with inequality lowest at moderate temperatures (11 ∘C–18 ∘C) and increasing sharply as temperatures increase. We find that the optimal temperatures are lower for inequality measures than for income levels. This indicates that substantial increases in inequality are expected at higher temperatures compared to growth impacts. This effect is particularly noticeable for the poorer segments of the population, whose productivity and wages decline as temperatures increase, while the impact on the richer segments is less significant due to their greater adaptive capacity. In terms of mechanisms, we find that agricultural households are more likely to experience an increase in inequality due to warming. Our findings suggest that global warming has two adverse effects on hot countries: reducing average growth and increasing inequality. We compare the outcomes of the moderate RCP6.0 scenario to a reference scenario without warming and find that by the end of the century, the Gini coefficient in South Africa is expected to increase by 3–6 points, resulting in a potential welfare loss of approximately 50% when combined with the impact of warming on GDP (which alone can reach up to 43% by 2100 in South Africa). Our findings highlight the importance of investigating the distributional effects of climate change at the micro-level, particularly in low- or middle-income countries where vulnerable populations are more susceptible to its impacts.
Supersymmetry and integrability for a class of XY central spin models
Authors: van Tonder Jaco , Links Jon 
Published: October 2023

Abstract
Several studies have exploited the integrable structure of central spin models to deepen understanding of these fundamental systems. In recent years, an underlying supersymmetry for systems with XX interactions has been uncovered. Here we report that a class of central spin models with XY interactions is also supersymmetric and integrable. The associated Bethe Ansatz solution is presented for the case where all particles are spin-1/2.