bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transfer Learning for Bearing Fault Diagnosis based on Graph Neural Network with Dilated KNN and Adversarial Discriminative Domain Adaptation
Authors: Tang Tang , Liu Zeyuan , Qiu Chuanhang , Chen Ming , Yu Ying 
Published: March 2024

Abstract
Graph neural networks (GNNs) have emerged as a forefront in deep learning, notably influencing research in mechanical fault diagnosis. Transfer learning, particularly through domain adaptation (DA) techniques, has found application in machinery fault diagnosis by training models under one working condition and deploying them under another. While efforts have been made to integrate GNNs with DA techniques to alleviate data distribution discrepancies by investigating the inter-sample relationships, challenges persist: reliance on K-nearest neighbor (KNN) for graph generation emphasizes close relationships, neglecting distant ones; batch processing limits real-time fault diagnosis; and transfer between different-sized bearings is nearly unexplored. To address these limitations, a novel framework for GNN-based domain adaptation in machinery fault diagnosis is proposed. Initially, a convolutional neural network extracts node embeddings from the continuous wavelet transform graph of raw vibration signals. Subsequently, a graph generation layer based on dilated KNN captures both close and distant sample relationships, addressing the long-range dependency issue. Two GNN blocks are then applied for inter-sample relationships investigation and further feature extraction with the outputs directed to a linear classifier during source domain pretraining. Following pretraining, adversarial discriminative domain adaptation is leveraged to mitigate domain distribution discrepancies. Additionally, a novel graph construction method that combines existing training samples with a new single sample is proposed, enabling fault prediction with single instances for real-time online fault diagnosis. Evaluation on datasets with varying working conditions and bearings of different sizes demonstrates the superior performance of our method to other comparison methods.
The second iterate of the Muskat equation in supercritical spaces
Authors: Paduro Esteban 
Published: March 2024

Abstract
The ill-posedness of the Muskat problem in spaces that are supercritical with respect to scaling is studied. The paper’s main result establishes that for a sequence of approximations of the Muskat equation obtained via Taylor expansion, their corresponding second Picard’s iterate is discontinuous around the origin in a certain family of supercritical spaces approaching a critical space.
Linear response for intermittent maps with critical point
Authors: Leppänen Juho 
Published: March 2024

Abstract
We consider a two-parameter family of maps

T

α
,
β

:
[
0
,
1
]
→
[
0
,
1
]

with a neutral fixed point and a non-flat critical point. Building on a cone technique due to Baladi and Todd, we show that for a class of Lq
observables

ϕ
:
[
0
,
1
]
→

R

the bivariate map

(
α
,
β
)
↦

∫
0
1

ϕ

d

μ

α
,
β

, where

μ

α
,
β

denotes the invariant SRB measure, is differentiable in a certain parameter region, and establish a formula for its directional derivative.
Regularity estimates for fully nonlinear integro-differential equations with nonhomogeneous degeneracy
Authors: Andrade Pêdra D S , dos Prazeres Disson S , Santos Makson S 
Published: March 2024

Abstract
We investigate the regularity of the solutions for a class of degenerate/singular fully nonlinear nonlocal equations. In the degenerate scenario, we establish that there exists at least one viscosity solution of class

C

l
o
c

1
,
α

, for some constant

α
∈
(
0
,
1
)

. In addition, under suitable conditions on degree of the operator σ, we prove regularity estimates in Hölder spaces for any viscosity solution. We also examine the singular setting and prove Hölder regularity estimates for the gradient of the solutions.
Comparative analysis on the validity of golden ratio, tri-bimaximal, hexagonal and bimaximal neutrino mixing patterns under the radiative corrections
Authors: Singh Y Monitar , Shubhakanta Singh M , Nimai Singh N 
Published: March 2024

Abstract
We study the comparative analysis on the validity of four popular leptonic mixing patterns viz, golden ratio (GR), tri-bimaximal (TBM), hexagonal mixing (HM) and bimaximal (BM), which are assumed to be defined at high energy scale, M

R
= 1016 GeV. We perform numerical analysis of low energy neutrino oscillation parameters through the renormalisation group equations (RGEs) in both standard model (SM) and minimal supersymmetric standard model (MSSM) with the inclusion of scale dependent vacuum expectation value (VEV). The sum of three absolute neutrino mass eigenvalues obtained from the latest Planck cosmological data, ∑∣m

i
∣ < 0.12 eV, is used as a constraint in the analysis of these four leptonic mixing patterns. We consider both normal hierarchical (NH) model and inverted hierarchical (IH) model in the analysis of these four leptonic mixing patterns, with SUSY breaking scale at m

s
= 1 TeV and

tan
β
=
67

. Among the four mixing patterns, GR is found to satisfy the latest Planck cosmological data, ∑∣m

i
∣ < 0.12 eV. Further analysis on the effect of the variation of SUSY breaking scale 1 TeV ≤ m

s
≤ 14 TeV is also studied for GR neutrino mixing pattern in NH.
Bäcklund transformation with two pseudo-potentials for a coupled KdV system
Authors: Cao Xifang 
Published: March 2024

Abstract
We give a Bäcklund transformation with two pseudo-potentials for a coupled KdV system, which can be derived from a single complex KdV equation. By applying the Bäcklund transformation to a trivial seed solution, we construct soliton and periodic solutions. We show that each soliton solution is invariant on a circle and each periodic solution is invariant on a closed curve, which approaches a cardioid or a circle, depending on how to choose the parameters. We also prove that the Bäcklund transformation admits a nonlinear superposition principle, which allows us to discuss nonlinear interactions of these solutions.
Novel quantum solutions to privacy-preserving point-line relation determination
Authors: Peng Zhen-Wan , Shi Run-Hua , Ding Ran , Zhang Fei-Fan 
Published: March 2024

Abstract
Secure multiparty computational geometry is an essential field of secure multiparty computation. It involves solving geometric problems without disclosing any private geometric information from each participating party. Privacy-preserving point-line relation determination, a pivotal branch of secure multiparty computational geometry, holds significant potential for applications in various domains, including business, engineering, and military. In this paper, leveraging the assistance of a third party, we introduce a quantum solution to privacy-preserving point-line relation determination. This approach incorporates quantum key distribution and one-time pad encryption. Under the condition that the third party does not conspire with any participant, our protocol ensures heightened security and enhanced privacy protection compared to classical methods. This superiority is attributed to the underlying principles of quantum mechanics and the utilization of one-time pad encryption. Furthermore, we extend our protocol to involve multiple third parties, employing the technology of quantum secret sharing. In scenarios where these third parties refrain from colluding with any single participant, no information is divulged to the other participant. Consequently, the protocol becomes more rational and secure when multiple third parties are involved.
Research on the results of secondary school physics education of Generation Z in the Czech Republic
Authors: Mandíková Dana , Pschotnerová Petra 
Published: March 2024

Abstract
There are no uniform exit tests in physics at the end of secondary school studies in the Czech Republic to give a picture of what students take away from their physics studies. Therefore, we decided to take advantage of the fact that in 1995 the Czech Republic participated in the TIMSS international survey of learning outcomes in mathematics and science, in which for the first and also the last time secondary school students were tested, including those who had taken more demanding mathematics and physics courses. The specialised physics 90-minute test was then taken by students in the final year of four-year gymnasiums in the Czech Republic. This particular physics test was administered to current gymnasium students. Gymnasium students represent the population of secondary school students who have physics instruction listed as a compulsory part of their education in the Framework Educational Programmes. Therefore, these respondents can provide very valuable information about what students take away from studying physics in primary and secondary school. The paper describes ongoing research, its methodology and how the data were collected.
Analysis of the difficulty of text generated by the ChatGPT artificial intelligence, text from a lower-secondary physics textbook, and other sources in Czech language
Authors: Vochozka Vladimír 
Published: March 2024

Abstract
ChatGPT (Generative Pre-trained Transformer) is a chatbot that was launched by Open AI as a prototype on November 30, 2022. ChatGPT has quickly gained attention for its detailed and well-formulated answers in many areas of knowledge. It can write computer programmes, poetry, business correspondence, or generate seemingly technical texts, depending on the verbal assignment. This article analyses and compares text in Czech language describing hydrostatic pressure produced by ChatGPT, from lower-secondary physics textbook and other sources. A text difficulty analysis was performed on the selected texts. The text-difficulty analysis by Nestler was chosen to assess the didactic properties. The results of the text-difficulty analysis and the selected partial coefficients are discussed.
Does generation Z (and Alpha) need physics as a separate school subject?
Authors: Holubova R 
Published: March 2024

Abstract
Physics teachers and learners collected surveys focused on their belief of teaching and learning physics at secondary and high schools. In the context of the idea of STEM education, physics cannot be replaced by another subject - science - to a sufficient extent. All the interviewed respondents agreed on this. The learning environment is now different, the position of the teacher is different too. But the aim of education is to prepare learners for the life in the 21st century and physics plays an important role. Pupils have to acquire the necessary competences, and skills for their application on the labor market at the time of the so-called fourth industrial revolution. This aim of education is essential but not negligible is their well being at schools. It is known that a crucial trend among young people is the incidence of depression and early school leaving. The outcome of our investigation has shown that in physics a lot of basic cognitive skills are taught. Physics is also a platform for buiding skills needed in the 21st century – communication, creativity, critical thinking. Physics is an essential part of STEM education. The results of the surveys were incorporated into the subjects of the pregraduate physics teacher training. The basic trend in teaching physics is quality versus quantity, the use of physics knowledge in everyday life. The way how physics teachers deal with these new objectives, which methods were chosen will be discussed in this paper.
GeoGebra and its applications - especially for teaching of geometrical optics
Authors: Kordek D , Voda P 
Published: March 2024

Abstract
The aim of this paper is to create two interactive electronic materials for teaching geometrical optics, especially imaging on thin lenses. Geogebra mathematical dynamic geometry software is employed for preparing the interactive constructions. In this software it is possible to work both in online mode and after installation in offline mode. There are constructs created for the software for mathematics and physics that can be used by the teacher. The paper does not describe a detailed procedure for preparing both constructions, and as an appendix we attach the original procedure for the construction as exported by the software. The reader is also introduced to the basics of geometrical optics, especially imaging on thin lenses. The values of parameters a, á and f that are measured directly by the created construction will be compared in the results with the results of these parameters, which are obtained from the derived rendering equation. In this way, we will confirm the correct function of the interactive constructions that have been created. The conclusion of the paper summarises the advantages and disadvantages of the created teaching materials.
Stimulating learning through games
Authors: Haverlíková Viera , Janiga Ladislav 
Published: March 2024

Abstract
Generation Z differs from its predecessors in many ways. In general, they are characterized by an emphasis on a friendly atmosphere and pragmatism. They prefer to deal with root causes, solve real-life problems and take responsibility for their decision. An educational game is a safe environment that allows students to learn by immersing themselves in solving game-challenges as well as to be responsible for their decisions and actions. The conference paper will present theoretical backgrounds and goals of the newly created subject “Educational games” offered to in-service physics teachers as an optional subject in bachelor’s degree. It was held for the first time in the academic year 2022/23, nine students took part in it. Seven of them provided feedback via an online questionnaire. Additional information was obtained from the analysis of semester papers. Expectations will be compared with experiences from the first year of the subject implementation. For most of the participants, the primary motive for participating in the course was their experience of non-formal education and the expectation of acquiring ideas for extracurricular activities. Only two students already had some idea of using the game in the physics education. Five students indicated a change in their understanding of the game as a teaching method. Possible directions for further development will be outlined.
30 years of life of the Heureka project
Authors: Dvořák L , Dvořáková I , Koudelková V , Gottwald S 
Published: March 2024

Abstract
Heureka (“Eureka” in English) is a long-term project aimed at improving physics education in lower and upper secondary schools in the Czech Republic. It began informally “from below” about 30 years ago. Since then, it has expanded to include three series of weekend seminars for physics teachers, along with various other activities such as the annual conference. The project’s proceedings are freely available on the Heureka website for teachers; many other materials can be found on the wiki for participants. Despite the restrictions due to covid pandemic, the project has continued to thrive, maintaining its inquiry-based teaching approach and active learning style even in the online environment. This paper provides more detailed information about the project, feedback from participants, and the lessons learned from the experience. We hope that this information will prove useful and inspiring for leaders of similar projects targeting physics teachers.
Developing the experimental skills of pre-service physics teachers
Authors: Juhásová Antónia , Kireš Marián 
Published: March 2024

Abstract
In this paper we present the focus, objectives, content and implementation of the elective course Selected Demonstration Experiments designed for physics teaching students. We map students’ personal experiences with the implementation of physics experiments in lower secondary school and high school, as well as their knowledge of the possibilities of demonstrating physical phenomena through experiments with simple tools. The continuing lack of experimentally oriented activities in physics education naturally has a negative impact on the experimental skills of physics teaching students. In this context, the prospective teacher should be able to carry out a wide range of physical experiments, demonstrations, experiments and measurements, interpret them appropriately and involve them in active perception. The lack of experimental equipment in schools for individual (or small group) student work can be at least partially overcome by the use of commonly available simple tools (plastic containers, stationery household tools, toys). Their availability is a strong motivation for individual observations, investigations and measurements at home. In the school laboratory, the teacher can easily provide such tools for frontal experiments, parallel work by groups of students or project work following observations at home. We consider and present a model of blended learning in an educational laboratory environment. In this paper we present selected ideas for physics observations and experiments with simple tools in the form of engaging video demonstrations. We have included the creation of our own educational video demonstration as a student semester project in the course presented. We present the success of achieving our learning objectives through student assessment.
Eyetracking identification of cognitive decision-making modes in STEM education - a case study
Authors: Rosiek R , Sajka M 
Published: March 2024

Abstract
We present a description and oculographic characterisation of task solving methods on the basis of eyetracking research carried out on a group of 60 university students, of various specialisations, within the age bracket of 20-21. We also provide preliminary answers to two questions: Does eyetracking identify cognitive decision-making modes? If so, which oculographic parameters are the most useful for this purpose? In this paper, we present a selected fragment of the results obtained from a series of tasks with a difficulty level not exceeding that of secondary school, based on a task concerning the interpretation of changes in the distance from the ground at a selected point of a carousel during its movement. In addition, the study concerns university students’ difficulties in interpreting graphs.
Path planning of complicated hierarchical thin-wall structures using multi-material additive manufacturing technology
Authors: Niu Chengcheng , Luan Congcong , Shen Hongyao , Fu Jianzhong 
Published: March 2024

Abstract
Multilayer thin-wall structures have demonstrated significant application potential in wearable devices, pressure vessels, and aerospace industries, with additive manufacturing (AM) poised to further unlock their capabilities. Although path planning, a crucial aspect of AM, has been extensively studied for homogeneous structures, research on path planning for heterogeneous structures remains limited. This study introduces a novel path planning algorithm, termed CPCNHTS, for generating continuous paths in complex non-rotating bodies with hierarchical thin-walled structures. CPCNHTS encompasses adaptive slicing, path offset, and robotic postprocessing techniques. The adaptive slicing method is employed to enhance the slicing model’s accuracy through volume error control. Moreover, the path offset method is designed to derive the printing path using a parallel curve of the inner contour. Identification of the inner contour is based on the curvatures and areas of single and double contours, respectively. The robotic postprocessing method is employed to convert the printing path into executable codes for multimaterial additive equipment. As a compelling application of the CPCNHTS algorithm, a limb prosthetic socket was successfully fabricated, highlighting the remarkable potential of this approach within the wearable devices domain.
Enhanced polygenic risk score incorporating gene–environment interaction suggests the association of major depressive disorder with cardiac and lung function
Authors: Pan Chuyu , Cheng Bolun , Qin Xiaoyue , Cheng Shiqiang , Liu Li , Yang Xuena , Meng Peilin , Zhang Na , He Dan , Cai Qingqing , Wei Wenming , Hui Jingni , Wen Yan , Jia Yumeng , Liu Huan , Zhang Feng 
Published: March 2024

Abstract

Background
Depression has been linked to an increased risk of cardiovascular and respiratory diseases; however, its impact on cardiac and lung function remains unclear, especially when accounting for potential gene–environment interactions.

Methods
We developed a novel polygenic and gene–environment interaction risk score (PGIRS) integrating the major genetic effect and gene–environment interaction effect of depression-associated loci. The single nucleotide polymorphisms (SNPs) demonstrating major genetic effect or environmental interaction effect were obtained from genome-wide SNP association and SNP-environment interaction analyses of depression. We then calculated the depression PGIRS for non-depressed individuals, using smoking and alcohol consumption as environmental factors. Using linear regression analysis, we assessed the associations of PGIRS and conventional polygenic risk score (PRS) with lung function (N = 42 886) and cardiac function (N = 1791) in the subjects with or without exposing to smoking and alcohol drinking.

Results
We detected significant associations of depression PGIRS with cardiac and lung function, contrary to conventional depression PRS. Among smokers, forced vital capacity exhibited a negative association with PGIRS (β = −0.037, FDR = 1.00 × 10−8), contrasting with no significant association with PRS (β = −0.002, FDR = 0.943). In drinkers, we observed a positive association between cardiac index with PGIRS (β = 0.088, FDR = 0.010), whereas no such association was found with PRS (β = 0.040, FDR = 0.265). Notably, in individuals who both smoked and drank, forced expiratory volume in 1-second demonstrated a negative association with PGIRS (β = −0.042, FDR = 6.30 × 10−9), but not with PRS (β = −0.003, FDR = 0.857).

Conclusions
Our findings underscore the profound impact of depression on cardiac and lung function, highlighting the enhanced efficacy of considering gene–environment interactions in PRS-based studies.
Magnetic resonance imaging of placental intralobule structure and function in a preclinical nonhuman primate model
Authors: Melbourne Andrew , Schabel Matthias C , David Anna L , Roberts Victoria H J 
Published: March 2024

Abstract
Although the central role of adequate blood flow and oxygen delivery is known, the lack of optimized imaging modalities to study placental structure has impeded our understanding of its vascular function. Magnetic resonance imaging is increasingly being applied in this field, but gaps in knowledge remain, and further methodological developments are needed. In particular, the ability to distinguish maternal from fetal placental perfusion and the understanding of how individual placental lobules are functioning are lacking. The potential clinical benefits of developing noninvasive tools for the in vivo assessment of blood flow and oxygenation, two key determinants of placental function, are tremendous. Here, we summarize a number of structural and functional magnetic resonance imaging techniques that have been developed and applied in animal models and studies of human pregnancy over the past decade. We discuss the potential applications and limitations of these approaches. Their combination provides a novel source of contrast to allow analysis of placental structure and function at the level of the lobule. We outline the physiological mechanisms of placental T2 and T2* decay and devise a model of how tissue composition affects the observed relaxation properties. We apply this modeling to longitudinal magnetic resonance imaging data obtained from a preclinical pregnant nonhuman primate model to provide initial proof-of-concept data for this methodology, which quantifies oxygen transfer and placental structure across and between lobules. This method has the potential to improve our understanding and clinical management of placental insufficiency once validation in a larger nonhuman primate cohort is complete.