bluuebunny/crossref_metadata_2025_split huggingface dataset:
Critical temperature in 2D square Ising model with anisotropic coupling constant using Kramers-Wannier duality
Authors: Aviles L A , Gammag R P 
Published: July 2023

Abstract
To solve the 2D square Ising model incorporating anisotropy, we discuss a graphical representation of Kramers-Wannier duality. The method yields an equation relating the critical temperature (Tc
) to the horizontal and vertical coupling constants. The result reproduces the known exact solution by Onsager. The equation derived was utilized to plot Tc
as a function of anisotropy by introducing the ratio (α) of the coupling constants. A phase diagram is then obtained showing Tc
as an increasing function of α In the limit as α approaches zero, the critical temperature asymptotically goes to zero. This agrees with the exact solution of the 1D model.
Analytical solutions to the isothermal Euler equations with time-dependent damping
Authors: Jia Xinyue 
Published: July 2023

Abstract
In this paper, we construct a class of analytical solutions to the one dimensional compressible isothermal Euler equations with time-dependent damping. By introducing a special density function ρ(x, t) = e

c(t)x+d(t), we obtain a family of analytical solutions. A sufficient condition for the solution to blow up in finite time is given. On the basis of the conclusion, the analytical solutions to the initial boundary value problem of the pressureless Euler equations are obtained.
Using multi-flexible body dynamic analysis and the Taguchi method to decrease the variation of output angular velocity in a double circular-arc harmonic gear drive
Authors: Ruan J C , Lee C K , Wang C Y , Tsai Y C , Sung H H 
Published: July 2023

Abstract
The performance of a double circular-arc tooth harmonic gear drive, which offers advantages over traditional designs, such as lower stress during contact and increased fatigue life, was investigated in this research. The gear drive’s meshing was simulated using dynamic analysis software RecurDyn, and a significant variation in output angular velocity was observed. To address this issue, experiments were planned using the Taguchi method with the L9(34) orthogonal table. The data was analyzed using techniques such as average value calculation, signal-to-noise ratio calculation, variance analysis, and response chart analysis to identify the control factors with the greatest impact on output angular velocity variation. It was found that an improved design with lower output angular velocity variation could be obtained by adjusting these control factors to optimal levels. The findings suggest that the transmission quality of double circular-arc harmonic gear drives can be enhanced by combining multi-flexible body dynamic analysis with the Taguchi method.
FDT for fluctuations of a special perturbated harmonic oscillator and its application in q-deformed Harmonic Oscillator
Authors: Yin Huangcheng 
Published: July 2023

Abstract
In this paper, we will use fluctuation dissipation theorem on the harmonic oscillator with time correlation creation annihilation operator as the perturbated term and through calculation, we find that the exact value of the dissipation associated Imχ of this special perturbation harmonic oscillator is exactly equal to π. Next, we give its potential application in the q-deformed harmonic oscillator, which means connect the q-deformed harmonic oscillator with fluctuation dissipation.
Algorithm Research and Accuracy Influence Factor Analysis of Calibrating Antenna Pointing of Sounding Radar by Solar Method
Authors: Yin Lian , Ye Fei 
Published: July 2023

Abstract
The calculation of the reception ability of the L-band radiosonde radar to the solar minimum energy flux density proves that it can be used for antenna pointing calibration by the solar method. The test found that the elevation deviation of the solar method comparison observation software is within 0.3° and the azimuth deviation is within 0.5°, and the accuracy meets the deviation index requirements of the L-band sounding radar antenna pointing. By analyzing the influence of radar frequency, antenna control system angle and radar gain on the solar method test, it is found that the solar method test is the most accurate when the frequency is around 1676MHz and the antenna control system and gain are set as “automatic” as far as possible. In addition, the solar calibration method is easy to operate, can be widely applied, can effectively check the radar operation status, and timely detect radar faults.
Initial Rotor Position Detection of SPMSM with High-frequency Signal Injection
Authors: Liu TingZheng , Gu DaWei , Cai FuMen , Mou XiaoNing , Tian JiangXianFeng 
Published: July 2023

Abstract
The accuracy of initial rotor position detection is important for senseless control, meanwhile, high frequency signal injection takes its advantages for its simple principle, small calculation amount and good real-time performance. In this paper, the principle of high frequency signal injection is analysed and systematically studied from position information error reading and the direction of d-axis. Besides, factors which may lead to the error of position information error reading is also studied, the second-order notch filter is added to get higher accuracy. Finally, the model of high frequency signal injection is set up to verify the effectiveness of the method, the result shows that method can run well at 0 speed and effectively estimate the actual rotor position.
The Exponential Attractor for Partially Dissipative Lattice System of Infinite Dimension
Authors: Zhang Zhenqi , Wu Xuyi 
Published: July 2023

Abstract
With the wide application of fractional differential equations, the study of dynamic systems of fractional differential equations has become one of the hotspots in the past decade. The attractor theory is one of the research directions of infinite dimensional lattice dynamical system. In paper, Eden et al. Systematically introduced the exponential attractor of deterministic autonomous dynamical system, which is a compact positive invariant set with finite fractal dimension and attracting orbits at exponential rate. The exponential attractor has a finite fractal dimension. Because of the exponential attractiveness, the exponential attractor is more stable under perturbation than the global attractor. Fitzhugh Nagumo equation is a nonlinear partial equation that describes the periodic oscillation of neuronal action potential under constant current stimulation above the threshold. For Fitzhugh Nagumo system, there are many reports on attractors, but few reports on exponential attractors. In this paper, the infinite dimensional lattice Fitzhugh Nagumo system [4] is studied. The specific contents are as follows: In part 1, the background, development and research status of FitzHugh Nagumo lattice system and the main work of this paper are introduced. In part 2, the basic concepts, inequalities and lemmas required in the research of FitzHugh Nagumo lattice system are introduced. In part 3, the initial value problem of FitzHugh Nagumo lattice system is studied. For any initial value ϕ(0), there exists a unique solution ϕ(t) of system (9) and family of mapping S(t) can generate continuous operator semigroup {S(t)}
t≥0 on

ℓ
σ
2

,. Through lemma 3.2,3.3,3.4, it can be proved that the continuous operator semigroup {S(t)}
t≥0 satisfies uniform continuity and is asymptotically compact, thus proving the existence of the exponential attractor of the system.
Design and Optimization of Electromagnetic Induction Device based on Finite Element Analysis
Authors: Shuang Wang 
Published: July 2023

Abstract
Electromagnetic induction is the basis of most electrical and power equipment. In order to improve the overall performance of electromagnetic induction devices, it is necessary to analyze the distribution of electric and magnetic fields around and inside the devices, and guide the structural adjustment and material selection of devices. However, due to the integral and differential operations involved, complex electrical and magnetic field problems are often unable to be analyzed by analytical methods. With the improvement of numerical analysis theory and computer performance, the use of finite element analysis is expected to solve the complex electromagnetic field problems in practical applications. Using finite element analysis, the electromagnetic field distribution characteristics and influencing factors of electromagnetic induction devices of household induction cooker are studied, the corresponding mathematical model is established, the influence of electromagnetic parameters of each part of the induction heating system on heating energy efficiency is studied, and the optimization design is carried out according to different application requirements, so as to provide a basis for further improving the performance of devices.
Calibration of a Micromegas-based gaseous time projection chamber using cosmic ray muons
Authors: Zhang Wenming , Liu Yuanchun , Du Haiyan , Han Ke , Lin Heng , Li Tao , Luo Lingyin , Ni Kaixiang , Peng Yunzhi , Wang Shaobo , Wen Sicheng , Yan Xiyu , Zhang Zhiyong , Zhai Wenchang 
Published: July 2023

Abstract
We report the calibration of a gaseous Time Projection
Chamber based on Micromegas charge readout modules with cosmic ray
muons, utilizing their penetrating power and relatively uniform
energy deposition per unit length. Muon events were selected
through track reconstruction to characterize detector performances,
such as the drift velocity, electron lifetime, detector gain, and
electric field distortion. The evolution of detector performances
over a 50-day data-taking cycle was measured with the muon
calibration method. For instance, the drift velocity degraded from
3.40 ± 0.07 cm/μs to 3.06 ± 0.06 cm/μs
without gas purification, and then recovered with gas purification.
A 137Cs calibration source was also placed inside the
detector as a reference for muon calibrations.
Wind resource droughts in China
Authors: Liu Fa , Wang Xunming , Sun Fubao , Wang Hong 
Published: July 2023

Abstract
With the rising share of wind energy in power generation, the occurrence of low-wind-power events (termed ‘wind resource droughts’) are becoming critical in understanding the national electricity supply and the security of power systems. We use hourly wind speed data (2428 meteorological stations; in the years 2010–2020) to analyze the occurrence of wind resource droughts in seven onshore wind energy planning regions over China. We find that wind resource droughts tend to occur in warm season (summer and autumn) in most regions (i.e., Northeast China, East China, Central China, South China and Tibetan Plateau). In these regions, the number of moderate wind resource drought events (wind capacity factor below 10%) in the warm season (summer and autumn) was about 3–13 times higher than in the cold season (spring and winter). By contrast, for North China and Northwest China, the wind resource droughts mainly occurred in the autumn and winter. Averaged over 11 years, Northeast China experienced the most moderate wind resource droughts with 30 d yr−1, while Northwest China had only 1 d yr−1. Some of these wind resource drought events occurred consecutively, in which Northeast China experienced nine wind resource drought events that lasted for at least five days (where the longest reached 9 d) across the 11 years from 2010 to 2020; North China and South China exhibited one five-day wind resource drought events; while Northwest China, East China, Central China and Tibetan Plateau had none. Moreover, we found that increasing the aggregated area of wind resource can reduce the volatilities of wind energy. Therefore, improving the cross-regional transmission capacity can substantially help reduce the number of wind resource drought events. These findings should assist decision-makers to establish the counterplan to mitigate the energy shortages and instability in power supply caused by the uncertainty of wind resource droughts.
Conformal Fisher information metric with torsion
Authors: Pal Kunal , Pal Kuntal , Sarkar Tapobrata 
Published: July 2023

Abstract
We consider torsion in parameter manifolds that arises via conformal transformations of the Fisher information metric, and define it for information geometry of a wide class of physical systems. The torsion can be used to differentiate between probability distribution functions that otherwise have the same scalar curvature and hence define similar geometries. In the context of thermodynamic geometry, our construction gives rise to a new scalar—the torsion scalar defined on the manifold, while retaining known physical features related to other scalar quantities. We analyse this in the context of the Van der Waals and the Curie–Weiss models. In both cases, the torsion scalar has non trivial behaviour on the spinodal curve. We also briefly comment on the one dimensional classical Ising model and show that the torsion scalar diverges exponentially near criticality.
The escape transition in a self-avoiding walk model of linear polymers
Authors: van Rensburg E J Janse 
Published: July 2023

Abstract
A linear polymer grafted to a hard wall and underneath an atomic force microscopy tip can be modeled in a lattice as a grafted lattice polymer (self-avoiding walk) compressed underneath a piston near the wall. As the piston approaches the wall the increasingly confined polymer escapes from the confined region to explore conformations beside the piston. This conformational change is believed to be a phase transition in the thermodynamic limit, and has been argued to be first order, based on numerical results in the literature. In this paper a lattice self-avoiding walk model of the escape transition is constructed. It is proven that this model has a critical point in the thermodynamic limit corresponding to the escape transition of compressed grafted linear polymers. This result relies on the analysis of self-avoiding walks in slits and slabs in the square and cubic lattices. Additionally, numerical estimates of the location of the escape transition critical point is reported based on Monte Carlo simulations of self-avoiding walks in slits and in slabs.
Evaluation of the change in glycated hemoglobin for patients in an employee health program formerly managed by a pharmacist-run ambulatory care clinic
Authors: Bou-Ghazale Lauren , Oldham Elizabeth , Bundeff Andrew W , Hwang Andrew Y 
Published: July 2023

Abstract

Purpose
To evaluate the change in mean glycated hemoglobin (HbA1c) for patients with diabetes in an employee health program after discontinuation of management by a clinical pharmacist.

Methods
This was a single-center, retrospective chart review of patients followed by a clinical pharmacist from January 1, 2020, through March 31, 2021. Patients included had type 2 diabetes, were 18 years of age or older, were not pregnant, and were not using an insulin pump. The baseline visit was defined as the last pharmacist visit within the study period. The follow-up visit was defined as the most recent visit upon chart review that occurred at least 5 months after the baseline visit. The primary and secondary endpoints were the mean change in HbA1c and number of antihyperglycemic agents from baseline to follow-up, respectively. Statistical analysis included descriptive statistics for baseline characteristics, a paired t test for the primary endpoint, and a McNemar test for the secondary endpoint.

Results
A total of 590 patients were screened, of whom 131 were included in the analysis. For the primary outcome, the mean baseline HbA1c was 7.3% while that at follow-up was 7.41% (mean change of 0.11%; SD, 1.22%; P = 0.326). For the secondary outcome, the baseline number of antihyperglycemic agents was 274 while the follow-up number was 276. There were no statistically significant differences for the primary and secondary outcomes.

Conclusion
This study highlights a unique patient population with controlled HbA1c at baseline, for whom diabetes control may potentially be influenced by the patients’ employment within a healthcare system and improved access to care. The lack of a significant difference in the primary endpoint implies that it may be appropriate to limit or have less frequent pharmacist visits for well-controlled patients. Further research should investigate how to identify patients who would benefit from continued follow-up with a clinical pharmacist vs those who can be managed with minimal resources.
Generative Adversarial Matrix Completion Network based on Multi-Source Data Fusion for miRNA–Disease Associations Prediction
Authors: Wang ShuDong , Li YunYin , Zhang YuanYuan , Pang ShanChen , Qiao SiBo , Zhang Yu , Wang FuYu 
Published: July 2023

Abstract
Numerous biological studies have shown that considering disease-associated micro RNAs (miRNAs) as potential biomarkers or therapeutic targets offers new avenues for the diagnosis of complex diseases. Computational methods have gradually been introduced to reveal disease-related miRNAs. Considering that previous models have not fused sufficiently diverse similarities, that their inappropriate fusion methods may lead to poor quality of the comprehensive similarity network and that their results are often limited by insufficiently known associations, we propose a computational model called Generative Adversarial Matrix Completion Network based on Multi-source Data Fusion (GAMCNMDF) for miRNA–disease association prediction. We create a diverse network connecting miRNAs and diseases, which is then represented using a matrix. The main task of GAMCNMDF is to complete the matrix and obtain the predicted results. The main innovations of GAMCNMDF are reflected in two aspects: GAMCNMDF integrates diverse data sources and employs a nonlinear fusion approach to update the similarity networks of miRNAs and diseases. Also, some additional information is provided to GAMCNMDF in the form of a ‘hint’ so that GAMCNMDF can work successfully even when complete data are not available. Compared with other methods, the outcomes of 10-fold cross-validation on two distinct databases validate the superior performance of GAMCNMDF with statistically significant results. It is worth mentioning that we apply GAMCNMDF in the identification of underlying small molecule-related miRNAs, yielding outstanding performance results in this specific domain. In addition, two case studies about two important neoplasms show that GAMCNMDF is a promising prediction method.
A joint Bayesian hierarchical model for estimating SARS-CoV-2 genomic and subgenomic RNA viral dynamics and seroconversion
Authors: Dong Tracy Q , Brown Elizabeth R 
Published: July 2023

Summary
Understanding the viral dynamics of and natural immunity to the severe acute respiratory syndrome coronavirus 2 is crucial for devising better therapeutic and prevention strategies for coronavirus disease 2019 (COVID-19). Here, we present a Bayesian hierarchical model that jointly estimates the genomic RNA viral load, the subgenomic RNA (sgRNA) viral load (correlated to active viral replication), and the rate and timing of seroconversion (correlated to presence of antibodies). Our proposed method accounts for the dynamical relationship and correlation structure between the two types of viral load, allows for borrowing of information between viral load and antibody data, and identifies potential correlates of viral load characteristics and propensity for seroconversion. We demonstrate the features of the joint model through application to the COVID-19 post-exposure prophylaxis study and conduct a cross-validation exercise to illustrate the model’s ability to impute the sgRNA viral trajectories for people who only had genomic RNA viral load data.
Advanced biological ageing predicts future risk for neurological diagnoses and clinical examination findings
Authors: McMurran Christopher E , Wang Yunzhang , Mak Jonathan K L , Karlsson Ida K , Tang Bowen , Ploner Alexander , Pedersen Nancy L , Hägg Sara 
Published: July 2023

Abstract
Age is a dominant risk factor for some of the most common neurological diseases. Biological ageing encompasses interindividual variation in the rate of ageing and can be calculated from clinical biomarkers or DNA methylation data amongst other approaches. Here, we tested the hypothesis that a biological age greater than one's chronological age affects the risk of future neurological diagnosis and the development of abnormal signs on clinical examination.
We analysed data from the Swedish Adoption/Twin Study of Aging (SATSA): a cohort with 3175 assessments of 802 individuals followed-up over several decades. Six measures of biological ageing were generated: two physiological ages (created from bedside clinical measurements and standard blood tests) and four blood methylation age measures. Their effects on future stroke, dementia or Parkinson's disease diagnosis, or development of abnormal clinical signs, were determined using survival analysis, with and without stratification by twin pairs.
Older physiological ages were associated with ischaemic stroke risk; for example one standard deviation advancement in baseline PhenoAgePhys or KDMAgePhys residual increased future ischaemic stroke risk by 29.2% [hazard ratio (HR): 1.29, 95% confidence interval (CI) 1.06–1.58, P = 0.012] and 42.9% (HR 1.43, CI 1.18–1.73, P = 3.1 × 10−4), respectively. In contrast, older methylation ages were more predictive of future dementia risk, which was increased by 29.7% (HR 1.30, CI 1.07–1.57, P = 0.007) per standard deviation advancement in HorvathAgeMeth. Older physiological ages were also positively associated with future development of abnormal patellar or pupillary reflexes, and the loss of normal gait.
Measures of biological ageing can predict clinically relevant pathology of the nervous system independent of chronological age. This may help to explain variability in disease risk between individuals of the same age and strengthens the case for trials of geroprotective interventions for people with neurological disorders.
Geodesic theory of long association fibers arrangement in the human fetal cortex
Authors: Horibe Kazuya , Taga Gentaro , Fujimoto Koichi 
Published: July 2023

Abstract
Association fibers connect different areas of the cerebral cortex over long distances and integrate information to achieve higher brain functions, particularly in humans. Prototyped association fibers are developed to the respective tangential direction throughout the cerebral hemispheres along the deepest border of the subplate during the fetal period. However, how guidance to remote areas is achieved is not known. Because the subplate is located below the cortical surface, the tangential direction of the fibers may be biased by the curved surface geometry due to Sylvian fissure and cortical poles. The fiber length can be minimized if the tracts follow the shortest paths (geodesics) of the curved surface. Here, we propose and examine a theory that geodesics guide the tangential direction of long association fibers by analyzing how geodesics are spatially distributed on the fetal human brains. We found that the geodesics were dense on the saddle-shaped surface of the perisylvian region and sparse on the dome-shaped cortical poles. The geodesics corresponded with the arrangement of five typical association fibers, supporting the theory. Thus, the geodesic theory provides directional guidance information for wiring remote areas and suggests that long association fibers emerge from minimizing their tangential length in fetal brains.