bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting control of cardiovascular disease risk factors in South Asia using machine learning
Authors: Reuter Anna , Ali Mohammed K. , Mohan Viswanathan , Chwastiak Lydia , Singh Kavita , Narayan K. M. Venkat , Prabhakaran Dorairaj , Tandon Nikhil , Sudharsanan Nikkil 
Published: December 2024

AbstractA substantial share of patients at risk of developing cardiovascular disease (CVD) fail to achieve control of CVD risk factors, but clinicians lack a structured approach to identify these patients. We applied machine learning to longitudinal data from two completed randomized controlled trials among 1502 individuals with diabetes in urban India and Pakistan. Using commonly available clinical data, we predict each individual’s risk of failing to achieve CVD risk factor control goals or meaningful improvements in risk factors at one year after baseline. When classifying those in the top quartile of predicted risk scores as at risk of failing to achieve goals or meaningful improvements, the precision for not achieving goals was 73% for HbA1c, 30% for SBP, and 24% for LDL, and for not achieving meaningful improvements 88% for HbA1c, 87% for SBP, and 85% for LDL. Such models could be integrated into routine care and enable efficient and targeted delivery of health resources in resource-constrained settings.
Pain in Children and Adolescents with Cerebral Palsy: A Cross-sectional Survey Study
Authors: Bischoff Lena A. , Tscherter Anne , Hunziker Sandra , Grunt Sebastian , Graf Nicole T. , Künzle Christoph T. , Broser Philip J. 
Published: December 2024

Abstract
Aim This study aims to investigate the prevalence, intensity, and location of pain in children and adolescents with cerebral palsy (CP) and analyze pain-related symptoms and participation restrictions.
Methods Children and adolescents aged 2 to 16 years diagnosed with CP were invited to participate in a pain survey. The questionnaire was based on the German Pain Questionnaire for Children, Adolescents and Parents (DSF-KJ). It was administered to children (2–11 years) by their caregivers, while adolescents (12–16 years) were asked to complete the questionnaire themselves or with the help of their caregivers.
Results Fifty-seven of 133 children and adolescents with CP (43%) reported having pain in the past 12 months, of whom 17 (30%) reported chronic pain. Patients with Gross Motor Function Classification System (GMFCS) IV–V reported more frequent pain (p = 0.003) and higher pain intensity (p = 0.011). Lower extremity pain was the most common. Twenty-three percent of participants with pain did not receive any treatment. Pain often restricted participation, specifically by reducing sports activity in patients with GMFCS I–III, focusing attention on patients with GMFCS IV–V, and activities with the family in both GMFCS level categories.
Interpretation Pain is common in children and adolescents with CP and frequently restricts their participation. Therefore, it must be consistently recorded and addressed during the consultation. The goal of treatment should be not only to reduce pain but above all to increase participation.
Comparative analysis of switching power supply fault diagnosis model based on particle swarm optimization and convolutional neural network
Authors: Liu Jialong , Cai Yuanli 
Published: December 2024

Abstract
Due to the complex topology of switching power supply, the traditional fault diagnosis method has been unable to meet the needs of engineering. A neural network model is developed to enhance the efficiency and accuracy of fault diagnosis in switching power supplies. This model utilizes the fault characteristics post wavelet packet transformation as input and predicts the corresponding fault type as output. We establish an experimental platform for forward switching power supply, construct 10 typical fault modes, collect 30 groups of output voltage signals under each fault mode, and extract the fault characteristics after wavelet packet transform as data samples. Simultaneously utilizing the PSO-BP neural network and CNN neural network enables the realization of fault diagnosis and analysis for the switching power supply. Various test outcomes have demonstrated that the fault detection ratio of the PSO-BP neural network structure exceeds 95%, with a speed of convergence achieving 60 seconds. Meanwhile, the fault detection ratio of the CNN neural network structure exceeds 90%, with a convergence speed of 31 seconds. These both demonstrate remarkable performance in fault diagnosis and reliability.
XXVIII International Conference on Integrable Systems and Quantum Symmetries (ISQS-28)
Authors: Burdık C. , Navratil O. , Toppan F. , Vourdas A. 
Published: December 2024

Abstract
The XXVIII International Conference on Integrable Systems and Quantum Symmetries (ISQS-28), was organized by the Department of Mathematics, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University Prague. It belongs to a successful series of conferences held at the Czech Technical University which began in 1992, and it is devoted to problems of mathematical physics and in particular to the theory of integrable systems, quantum groups and quantum symmetries. This year the Conference attracted around 95 scientists from all over the world. 47 papers of plenary lectures and contributions presented at ISQS-28, are published in the present issue of the Journal of Physics: Conference Series.
List of Conference board and Local organizing committee are available in this Pdf.
New interpretation of Kaluza-Klein compactification
Authors: Catto Sultan , Nicolescu Bogdan , Burdik Cestmir 
Published: December 2024

Abstract
Utilizing Jordan algebras and superalgebras, we focus on the significant role of lattices associated with discrete subgroups of the non-compact groups of the magic square. These lattices are not just a part of the process, but they play a profound role in reformulating conformal field theories and forming superstring theories, thereby pointing to a more comprehensive theory connected with a chiral 27-dimensional lattice, which is an extension of Conway’s lattice. We also highlight our newly discovered 16-dimensional algebra, which resembles Hurwitz’s algebras and its connection to superstrings, octonionic color algebras, and Galois Fields.
First integrals of some two-dimensional integrable Hamiltonian systems
Authors: Ghosh Aritra , Sinha Akash , Bagchi Bijan 
Published: December 2024

Abstract
In this paper, we discuss some results on integrable Hamiltonian systems with two degrees of freedom. We revisit the much-studied problem of the two-dimensional harmonic oscillator and discuss its (super)integrability in the light of a canonical transformation which can map the anisotropic oscillator to a corresponding isotropic one. Following this, we discuss the computation of first integrals for integrable two-dimensional systems using the framework of the Jacobi last multiplier. Using the latter, we describe some novel physical examples, namely, the classical Landau problem with a scalar-potential-induced hyperbolic mode, the two-dimensional Kepler problem, and a problem involving a linear curl force.
On the degeneracy of the energy levels of Schrödinger and Klein-Gordon equations on Riemannian coverings
Authors: Chanu Claudia Maria , Rastelli Giovanni 
Published: December 2024

Abstract
We study the degeneracy of the energy levels of the Schrödinger equation with Kepler-Coulomb potential and of the Klein-Gordon equation on Riemannian coverings of the Euclidean space and of the Schwarzschild space-time respectively. Degeneracy of energy levels is a consequence of the superintegrability of the system. We see how the degree of degeneracy changes depending on the covering parameter k, the parameter that in space-times can be related with a cosmic string, and show examples of lower degeneracy in correspondence of non integer values of k.
The Hénon-Heiles type system: Lyapunov exponent and physics-informed neural networks
Authors: Zurita Martínez Marco A. , Juárez Flores Paini M. , Escobar Ruiz A. M. 
Published: December 2024

Abstract
In this paper, as a continuation of [Chaos, Solitons and Fractals
184 (2024) 115025], the classical 2D potential

V

N

=

1

2

r

2

+

1

N

r

N

sin(N θ), N ∊ ℤ+ is considered. For N = 3, 4, …, 10 and critical energy

E
=

99

100

E

c

E

c
the average

λ

¯

of the largest Lyapunov exponent is obtained. As a complement of previous results, for N = 7, 8 the dynamics of the system is characterized employing time series, Poincaré sections, symmetry lines and the largest Lyapunov exponent as a function of the energy E. Additionally, we study in certain detail the forward and inverse problems, employing the Hénon-Heiles system (N = 3) as a test model, using the physics-informed neural networks (PINN) algorithm.
On the Classification of the Lévy-Leblond Spinors
Authors: Miranda Luiza , De Freitas Isaque P. , Toppan Francesco 
Published: December 2024

Abstract
The first-order Lévy-Leblond differential equations (LLEs) are the non-relativistic analogous of the Dirac equation: they are the “square roots” of the Schrödinger equation in (1 + d) dimensions and admit spinor solutions. In this paper we show how to extend to the Lévy-Leblond spinors the real/complex/quaternionic classification of the relativistic spinors (which leads to the notions of Dirac, Weyl, Majorana, Majorana-Weyl, Quaternionic spinors). Besides the free equations, we also consider the presence of potential terms. Applied to a conformal potential, the simplest (1 + 1)-dimensional LLE induces a new differential realization of the osp(1|2) superalgebra in terms of first-order differential operators depending on the time and space coordinates.
A remark on the Tremblay-Turbiner-Winternitz potential
Authors: Smirnov Roman G. , Vargas Amelia 
Published: December 2024

Abstract
We verify, using a polar representation of the vector space of Killing tensors of valence two defined in the Euclidean plane, that the Tremblay-Turbiner-Winternitz (TTW) potential, an important integrable perturbation of the Smorodinsky-Winternitz potential, loses the property of multi-separability for all but two specific values of the arbitrary parameter k.
Kontsevich graphs act on Nambu–Poisson brackets, II. The tetrahedral flow is a coboundary in 4D
Authors: Jagoe Brown Mollie S , Schipper Floor , Kiselev Arthemy V 
Published: December 2024

Abstract
Kontsevich constructed a map from suitable cocycles in the graph complex to infinitesimal deformations of Poisson bi-vector fields. Under the deformations, the bi-vector fields remain Poisson. We ask, are these deformations trivial, meaning, do they amount to a change of coordinates along a vector field? We examine this question for the tetrahedron, the smallest nontrivial suitable graph cocycle in the Kontsevich graph complex, and for the class of Nambu–Poisson brackets on ℝ
d
.
Within Kontsevich’s graph calculus, we use dimension-specific micro-graphs, in which each vertex represents an ingredient of the Nambu–Poisson bracket. For the tetrahedron, Kontsevich knew that the deformation is trivial for d = 2 (1996). In 2020, Buring and the third author found that the deformation is trivial for d = 3. Building on these discoveries, we now establish that the deformation is trivial for d = 4.
Minimal length scale in quantum mechanics from a deformation quantization perspective
Authors: Domański Ziemowit 
Published: December 2024

Abstract
We develop a deformation quantization approach to quantum mechanics that exhibits a nonzero minimal uncertainty in position through the modification of commutation relations for the operators of position and momentum. Deformation quantization is a method of quantizing a classical Hamiltonian system by suitably deforming the Poisson algebra of the system. The developed theory of deformation quantization is non-formal. An appropriate integral formula for the star-product is introduced, along with a suitable space of functions on which the star-product is well defined. A C*-algebra of observables and a space of states are constructed. Moreover, an operator representation in momentum space is presented. Finally, an example of states of maximal localization is given in terms of generalized Wigner functions.
On the center and the antipode of the super-Yangian of Q(1)
Authors: Poletaeva Elena 
Published: December 2024

Abstract
For the queer Lie superalgebra Q(1), we explicitly describe the center of the super-Yangian Y Q(1) of Q(1) in terms of generators of Y Q(1). We also describe the square of the antipodal map on Y Q(1) and use the antipode to construct an involutive automorphism of Y Q(1).
Finite element modeling of 10kV cement pole and mechanical response analysis of icing
Authors: Yan Tong , Liu Yangsheng , Zhang Xin , Xie Xing , Qiu Hao , Cheng Tianle 
Published: December 2024

Abstract
In order to solve problems such as tower deformation and the toppling of 10kV distribution wire under the influence of ice covering, the physical model of a 10kV cement pole is built by using SolidWorks software, and the stress of cement pole under different ice covering thicknesses is analyzed in detail. Specifically, this paper simulates the maximum bearing capacity of the wire under seven different ice thicknesses of 0mm, 5mm, 10mm, 15mm, 20mm, 25mm, and 30mm, determines whether it exceeds the ultimate strength of the material, and generates the corresponding simulation model diagram. Through simulation analysis, this paper further discusses whether the unbalanced tension generated by the conductor on the pole and tower will lead to the structural damage of the 10kV cement pole under different ice thickness conditions. Special attention is paid to the simulation results of the deformation and toppling of the tower, and the vulnerable parts of the 10kV cement tower under the condition of ice cover are deeply analyzed. This study provides an important basis for the formulation of anti-icing design, which is helpful in improving the reliability and safety of distribution lines under extreme weather conditions.
Optimization of reinforcement ratio and stirring speed on mechanical properties of Al-TiB2-B4C hybrid composite using Taguchi – grey relational analysis
Authors: Soni Sheetal , Gohil Piyush 
Published: December 2024

Abstract
The aim of the research is to optimise percentage ratio of hybrid reinforcements and stirring speed to maximize the mechanical properties of the hybrid composite by applying Taguchi analysis and grey relational analysis. The matrix material employed in this study is Al 7075, while boron carbide (B4C) and titanium diboride (TiB2) serve as the reinforcement materials. The hybrid metal matrix composite is produced via the stir casting method. For experimental design Taguchi L9 orthogonal array was adopted, with the weight percentage of the reinforcement materials and stirring speed identified as experimental factors. The specified levels of weight percentage for the reinforcements B4C and TiB2 were established at 3%, 6%, and 9%. The incorporation of both hard ceramic particles, B4C and TiB2 plays a significant role in improving the mechanical properties of the hybrid composite. The highest tensile strength, hardness and flexural strength achieved is 203.72MPa, 129.2 BHN and 369 MPa respectively for highest percentage ratio of both the reinforcements i.e. Al/9% B4C/ 9% TiB2 and for 600 rpm stirring speed. The mechanical properties analysed as response parameters consist of tensile strength, hardness, impact strength, and flexural strength. The Taguchi analysis, particularly the signal-to-noise (S/N) ratio evaluation, reveals that the percentage weight of TiB2 is the predominant factor affecting tensile strength. In contrast, the percentage weight of B4C significantly influences both hardness and flexural strength, while stirring speed is the most critical parameter for impact strength. The optimal parameters identified for maximizing tensile strength, hardness, and flexural strength are 9% B4C, 9% TiB2, and a stirring speed of 600 rpm. Multi-objective optimization employing grey relational analysis is performed to maximise the mechanical properties. The highest grey relational grade was attained in experiment number 9, which is having parameter values 9% of B4C, 9% of TiB2 and stirring speed of 600 rpm. The integration of Taguchi and grey relational analysis provides a robust optimization framework, offering a systematic methodology that enhances the understanding of parameters and enables the development of high-performance HMMCs tailored for engineering applications characterized by high significant demands.
Quantum data centres: a simulation-based comparative noise analysis
Authors: Campbell K , Lawey A , Razavi M 
Published: December 2024

Abstract
Quantum data centres (QDCs) could overcome the scalability challenges of modern quantum computers. Single-processor monolithic quantum computers are affected by increased cross talk and difficulty of implementing gates when the number of qubits is increased. In a QDC, multiple quantum processing units (QPUs) are linked together over short distances, allowing the total number of computational qubits to be increased without increasing the number of qubits on any one processor. In doing so, the error incurred by operations at each QPU can be kept small, however additional noise will be added to the system due to the latency cost and errors incurred during inter-QPU entanglement distribution. We investigate the relative impact of these different types of noise using a classically simulated QDC with two QPUs and compare the robustness to noise of the two main ways of implementing remote gates, cat-comm and TP-comm. We find that considering the quantity of gates or inter-QPU entangled links is often inadequate to predict the output fidelity from a quantum circuit and infer that an improved understanding of error propagation during distributed quantum circuits may represent a significant optimisation opportunity for compilation.
Highly efficient encoding for job-shop scheduling problems and its application on quantum computers
Authors: Schmid Mathias , Braun Sarah , Sollacher Rudolf , Hartman Michael J 
Published: December 2024

Abstract
Combinatorial optimization problems are considered to be an application, where quantum computing can have transformative impact. In the industrial context, job shop scheduling problems that aim at finding the optimal schedule for a set of jobs to be run on a set of machines are of immense interest. Here we introduce an efficient encoding of job shop scheduling problems, which requires much fewer bit-strings for counting all possible schedules than previously employed encodings. For problems consisting of N jobs with N operations, the number of required bit-strings is at least reduced by a factor

N

/

log
2

⁡
(
N
)

as compared to time indexed encodings. This is particularly beneficial for solving job shop scheduling problems on quantum computers, since much fewer qubits are needed to represent the problem. Our approach applies to the large class of flexible and usual job-shop scheduling problems, where operations can possibly be executed on multiple machines. Using variational quantum algorithms, we show that the encoding we introduce leads to significantly better performance of quantum algorithms than previously considered strategies. Importantly, the encoding we develop also enables significantly more compact classical representations and will therefore be highly useful even beyond applicability on quantum hardware.
The dual-channel convolutional neural network for rotating machinery fault diagnosis based on HHT and TMSST
Authors: Song Yadi , Wang Haibo , Zhao Chuanzhe , Wang Ronglin , Li Pengtao 
Published: December 2024

Abstract
Fault diagnosis of rotating machinery is crucial for ensuring the reliability of industrial equipment, especially when dealing with nonlinear, non-stationary signals and limited sample data. This paper proposes a novel fault diagnosis method that combines the Hilbert-Huang Transform (HHT) and Time-frequency Manifold Singular Spectrum Transformation (TMSST) with a dual-channel Convolutional Neural Network (CNN). The method utilizes HHT and TMSST to convert raw signals into time-frequency images, which are then processed by the CNN to extract key features and classify fault types. This approach effectively addresses small-sample scenarios, enhancing the accuracy and robustness of rotor fault diagnosis. Additionally, the method incorporates standard deviation analysis to ensure reliable results over multiple runs, demonstrating stability under various conditions.
Zinc oxide tetrapods as novel field emitters with low turn-on voltage
Authors: Giubileo Filippo , Faella Enver , Kumar Arun , De Stefano Sebastiano , Viscardi Loredana , Intonti Kimberly , Durante Ofelia , Pelella Aniello , Mazzotti Adolfo , Martucciello Nadia , Beliayev Eugeniy , Mishra Yogendra Kumar , Passacantando Maurizio , Di Bartolomeo Antonio 
Published: December 2024

Abstract
We investigate the field emission properties of tetrapod-shaped zinc oxide (ZnO) micro and nanostructures prepared using a flame transport synthesis approach. Using a piezo-driven metallic tip as an anode, we performed a local characterization from the apex of a tetrapod arm, where the effective emitting area was limited below 1 μm2. This configuration allows extremely low turn-on voltages, of 7 V, and a field enhancement factor of 70 at an anode-cathode distance of 600 nm. The experimental data were analyzed using the Fowler–Nordheim model, evidencing a non-monotonous dependence of the turn-on field and the field enhancement factor on the cathode-anode separation distance in the range of 100–900 nm. The ZnO tetrapods demonstrated good current stability, highlighting their potential for high-performance, low-consumption electron-emitting devices with very low turn-on voltage.
Charity and the Limits of Unity
Authors: Teubner Jonathan D 
Published: December 2024

Abstract
Chapter 2 discusses many of the texts that have occupied scholars who attempt to come to terms with Augustine’s legacy as an ecclesial “strongman.” Focusing mainly on sermons in the 400s, the chapter looks at Augustine’s efforts to unify the church in his debates with Donatists, efforts that famously drew out his endorsement of coercion. Drawing on the recently discovered Erfurt sermons, the chapter probes the connections between Augustine’s understanding of the Pauline correctio cum caritate and the unifying function of almsgiving. Chapter 2 also contends that Augustine’s efforts of inclusion meet their limits in his encounters with “pagans,” which are used to frame his ecclesiologically attuned theology of caritas. This chapter qualifies some recent theological accounts that have sought to exonerate Augustine from Arendt’s critique of him as being other-worldly and agrees with Arendt’s critics that Augustine should not be seen as so simply rejecting “the world,” but when seen through Augustine’s view of almsgiving, the exoneration is a rather ambivalent one.