bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat and mass flux dynamics of tangent hyperbolic nanofluid flow with unsteady rotatory stretching disk over Darcy-Forchheimer porous medium
Authors: Bayou Gizachew , Haile Eshetu , Awgichew Gurju 
Published: October 2024

Abstract
The purpose of the research is to examine a tangent hyperbolic nanofluid flowing in three dimensions (3D) axisymmetrically on an unsteady rotatory stretching disk over a Darcy-Forchheimer porous medium. First order initial value problems (IVPs) are generated from the governing partial differential equations (PDEs) through the use of similarity transformation and linearization. The Runge-Kutta sixth order (RK6) is utilized to solve the IVP system using the shooting technique and the built-in Python program ‘fsolve model10’. Articles that have already been published are used to validate the implemented approach. Graphs are used to examine how various parameters affect velocity, temperature, and concentration. Additionally, the behavior of heat, mass flux, and skin friction in response to different parameters is investigated. The study’s findings showed that as the Forchheimer number and velocity slip parameter increased, the nanofluid’s radial and tangential velocities decreased as well. As temperature and concentration slip parameters increase, correspondingly, thicker and thinner boundary layer structures are seen. The drag force in the tangential and radial direction behaves in the same manner. Both the rates of heat and mass transfers are initiated for an increase Eckert and Prandtl numbers and demotivated for power-law index number. The dissipation effect with radiation and chemical reaction plays a major role in heat and mass fluxes, respectively. The study can be used in various computer storage, coatings, lubricants, and coolants.
Non-intrusive identification of building loads using EDCA-ShuffleNetV2 with fused feature visualization
Authors: Yahui Wang , Zhehao Huang , Jie Chen , Jiangyong Liu , Yuhang Gao , Bote Luo , Lingzhi Yi 
Published: October 2024

Abstract
Non-intrusive load monitoring (NILM) enables monitoring of appliance operation status and energy consumption without additional meters, providing innovative data support for energy management. However, current NILM systems still face challenges such as insufficient load feature information and low load identification accuracy. To utilize the load feature information and improve the accuracy of load identification more effectively, this paper first selects loads with high energy consumption and high usage frequency as the research object, makes full use of the load feature information through feature fusion, and converts the fused typical load data into an image through the Gramian summation angular field, and further carries out the identification of loads that still have similarity after feature fusion. Secondly, this paper improves the ShuffleNetV2 model structure by embedding an efficient dual-channel attention (EDCA) module in the basic feature extraction module of ShuffleNetV2 to enhance it to extract adequate load feature information. A residual structure is also introduced to mitigate the information loss and gradient disappearance issues of the model. Finally, simulations are carried out in iAWE and AMPDS datasets, and the load identification accuracy of this method reaches 99.35%, while the model parameters and floating-point operations (FLOPs) are only 3.28 M and 1.5 G, respectively. In addition, the improved EDCA-ShuffleNetV2 model has obvious advantages in terms of comprehensive model performance compared with other models.
Sky localization of space-based detectors with time-delay interferometry
Authors: Jiang Tong , Gong Yungui , Lu Xuchen 
Published: October 2024

Abstract
The accurate sky localization of gravitational wave (GW) sources is an important
scientific goal for space-based GW detectors. The main differences between future space-based GW
detectors, such as Laser Interferometer Space Antenna (LISA), Taiji, and TianQin, include the
time-changing orientation of the detector plane, the arm length, the orbital period of the
spacecraft and the noise curve. Because of the effects of gravity on three spacecraft, it is
impossible to maintain the equality of the arm length, so the time-delay interferometry (TDI)
method is needed to cancel out the laser frequency noise for space-based GW detectors. Extending
previous work based on equal-arm Michelson interferometer, we explore the impacts of different
first-generation TDI combinations and detector's constellations on the sky localization for
monochromatic sources. We find that the sky localization power is almost unaffected by the
inclusion of the TDI Michelson (X, Y, Z) combination in the analysis. We also find that the
variation in the sky localization power for different TDI combinations is entirely driven by the
variation in the sensitivities of these combinations. For the six particular TDI combinations
studied, the Michelson (X, Y, Z) combination is the best for source localization.
Cutting corners: hypersphere sampling as a new standard for cosmological emulators
Authors: Nygaard Andreas , Holm Emil Brinch , Hannestad Steen , Tram Thomas 
Published: October 2024

Abstract
Cosmological emulators of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra commonly use training data sampled from a Latin hypercube. This method often incurs high computational costs by covering less relevant parts of the parameter space, especially in high dimensions where only a small fraction of the parameter space yields a significant likelihood.

In this paper, we make use of hypersphere sampling, which instead concentrates sample points in regions with higher likelihoods, significantly enhancing the efficiency and accuracy of emulators. A novel algorithm for sampling within a high-dimensional hyperellipsoid aligned with axes of correlation in the cosmological parameters is presented. This method focuses the distribution of training data points on areas of the parameter space that are most relevant to the models being tested, thereby avoiding the computational redundancies common in Latin hypercube approaches.

Comparative analysis using the connect emulation tool demonstrates that hypersphere sampling can achieve similar or improved emulation precision with more than an order of magnitude fewer data points and thus less computational effort than traditional methods. This was tested for both the ΛCDM model and a 5-parameter extension including Early Dark Energy, massive neutrinos, and additional ultra-relativistic degrees of freedom. Our results suggest that hypersphere sampling holds potential as a more efficient approach for cosmological emulation, particularly suitable for complex, high-dimensional models.
Variational quantum algorithm for designing quantum information maskers*
Authors: Li Jin-Ze , Wang Ming-Hao , Zhou Bin 
Published: October 2024

Abstract
Since the concept of quantum information masking was proposed by Modi et al (2018 Phys. Rev. Lett. 120, 230 501), many interesting and significant results have been reported, both theoretically and experimentally. However, designing a quantum information masker is not an easy task, especially for larger systems. In this paper, we propose a variational quantum algorithm to resolve this problem. Specifically, our algorithm is a hybrid quantum–classical model, where the quantum device with adjustable parameters tries to mask quantum information and the classical device evaluates the performance of the quantum device and optimizes its parameters. After optimization, the quantum device behaves as an optimal masker. The loss value during optimization can be used to characterize the performance of the masker. In particular, if the loss value converges to zero, we obtain a perfect masker that completely masks the quantum information generated by the quantum information source, otherwise, the perfect masker does not exist and the subsystems always contain the original information. Nevertheless, these resulting maskers are still optimal. Quantum parallelism is utilized to reduce quantum state preparations and measurements. Our study paves the way for wide application of quantum information masking, and some of the techniques used in this study may have potential applications in quantum information processing.
Optimizing circular rotations in confined systems via enhanced self-driven speed of active nematics
Authors: Tang Tian , Ren Chun-lai , Ma Yu-qiang 
Published: October 2024

Abstract
Active matter exhibits collective motions at various scales. Geometric confinement has been identified as an effective way to control and manipulate active fluids, with much attention given to external factors. However, the impact of the inherent properties of active particles on collective motion under confined conditions remains elusive. Here, we use a highly tunable active nematics model to study active systems under confinement, focusing on the effect of the self-driven speed of active particles. We identify three distinct states characterized by unique particle and flow fields within confined active nematic systems, among which circular rotation emerges as a collective motion involving rotational movement in both particle and flow fields. The theoretical phase diagram shows that increasing the self-driven speed of active particles significantly enhances the region of the circular rotation state and improves its stability. Our results provide insights into the formation of high quality vortices in confined active nematic systems.
Compensation of isotope ratio mismatch in double isotope dilution inductively coupled plasma mass spectrometry (ID-ICP/MS)
Authors: Tegegn Gizachew Betru , Yim Yong-Hyeon , Lee Kyoung-Seok 
Published: October 2024

Abstract
Exact-matching double isotope dilution inductively coupled plasma mass spectrometry (ID-ICP/MS) is widely used to characterize reference materials (RMs) in elemental analysis. In this technique, achieving exactly matching isotope ratios for the sample and calibration blends is regarded as an important prerequisite for obtaining accurate measurement results. However, meeting this condition requires multiple time-consuming iterative measurements. In the current study, an alternative approach that can avoid lengthy iterative procedures while maintaining the accuracy of the ID-ICP/MS results was successfully investigated. We examined the effects of an extensively wide range of inexact-matching isotope ratios (approximately 75%–130%) in double ID-ICP/MS for elements with a wide mass range. Our experimental study, using gravimetrically prepared samples of Ca, Cd, Cu, Fe, Hg, Mg, Ni, Pb, and Zn, demonstrated that, despite deliberately introducing mismatching of isotope ratios, the accuracy of the ID-ICP/MS results remained consistent with relative measurement bias of typically less than 0.5%. The absence of a systematic bias due to deviations in the sample blend isotope ratios from the target ratios of the calibration blends revealed that the variability due to an isotope ratio mismatch was sufficiently compensated for. Furthermore, the expanded measurement uncertainties were sufficiently small with negligible variations observed across the different matching ratios. Typically, they were less than 1%, except for Fe, Hg, Pb, and Zn which were less than 2%. This assertion is also supported by theoretically calculated error magnification factors. Consequently, it is feasible to directly utilize the marginally estimated mass fraction of the analyte of interest without extensive iterative measurements. The findings of this study provide robust data for ID-ICP/MS, allowing to circumvent lengthy iterative procedures while maintaining the accuracy and precision of the measurement results, particularly in the characterization of RMs for elemental analysis.
Spectral methods of identification of structural transformations in particles of polymineral complexes
Authors: Chetverikova A G , Kanygina O N , Sadykov A R , Makarov V N 
Published: October 2024

AbstractIn recent years, new deposits of polymineral complexes have been actively discovered and are beginning to be developed in the Orenburg region of Russia. Knowledge of the structural features of such heterogeneous systems will help provide a controlled structural evolution. Such studies will help shorten the time needed for the introduction of raw materials into production processes of functional ceramics. A selection of physical and chemical methods has been chosen to analyze natural polymineral complexes in order to understand the temperature evolution of their phase composition and structural transformations. The polymineral complexes from deposits in the Orenburg region of Russia are known to be fusible. Infrared spectroscopy and diffractometry methods have been used to identify six to ten crystalline phases in the studied objects. The main phases have been identified as follows: quartz, calcite, kaolinite, montmorillonite, clinochlore, and magnetite. Structural changes were induced by heating the sample to 1200 K at a rate of 10 K/min while recording derivatograms. EPR spectroscopy established that impurity centers have an ambiguous role in the evolution of natural mineral structures. They can both stabilize crystal lattices and cause distortions due to the Jahn-Teller effect. This is particularly true for layered lattices that contain octahedral motifs with a central impurity ion. It has been demonstrated that impurity centers Fe3+and Mn2+act as spin labels for structural transformations. As a result of the destruction of crystal components, these impurity centers form clusters with each other and become undetectable by other methods of analysis.
Exponential growth rate of lattice comb polymers
Authors: Janse van Rensburg E J , Whittington S G 
Published: October 2024

Abstract
We investigate a lattice model of comb polymers and derive bounds on the exponential growth rate of the number of embeddings of the comb. A comb is composed of a backbone that is a self-avoiding walk and a set of t teeth, also modelled as mutually and self-avoiding walks, attached to the backbone at vertices or nodes of degree 3. Each tooth of the comb has ma
edges and there are mb
edges in the backbone between adjacent degree 3 vertices and between the first and last nodes of degree 3 and the end vertices of degree 1 of the backbone. We are interested in the exponential growth rate as

t
→
∞

with ma
and mb
fixed. We prove upper bounds on this growth rate and show that for small values of ma
the growth rate is strictly less than that of self-avoiding walks.
Partial stochastic resetting with refractory periods
Authors: Olsen Kristian Stølevik , Löwen Hartmut 
Published: October 2024

Abstract
The effect of refractory periods in partial resetting processes is studied. Under Poissonian partial resets, a state variable jumps to a value closer to the origin by a fixed fraction at constant rate,

x
→
a
x

. Following each reset, a stationary refractory period of arbitrary duration takes place. We derive an exact closed-form expression for the propagator in Fourier–Laplace space, which shows rich dynamical features such as connections not only to other resetting schemes but also to intermittent motion. For diffusive processes, we use the propagator to derive exact expressions for time dependent moments of x at all orders. At late times the system reaches a non-equilibrium steady state which takes the form of a mixture distribution that splits the system into two subpopulations; trajectories that at any given time in the stationary regime find themselves in the freely evolving phase, and those that are in the refractory phase. In contrast to conventional resetting, partial resets give rise to non-trivial steady states even for the refractory subpopulation. Moments and cumulants associated with the steady state density are studied, and we show that a universal optimum for the kurtosis can be found as a function of mean refractory time, determined solely by the strength of the resetting and the mean inter-reset time. The presented results could be of relevance to growth-collapse processes with periods of inactivity following a collapse.
Synthesis and application of WO3/PVA nano composite for antibacterial and thermal insulation
Authors: Amir Muhammad , Asghar Muhammad Sajid Ali 
Published: October 2024

Abstract
Insulation of glass material is very important for sustainable environment in this real world without compromising its primary function. The aim of this research is to provide robust solution by synthesis the Nano Tungsten trioxide particles via the chemical precipitation method. Developed WO3 NPs Characterized by using x-ray diffraction for; crystal structure, compound composition, and average crystalline size. Scanning Electron Microscopy (SEM) employed to analyze the shape and dimensions of the WO3 NPs. Explored the potential thermal insulation and antibacterial attributes by coating 1%, 3%, 5% and 7% concentration of synthesized WO3 NPs in polyvinyl alcohol onto a sodium silicate glass substrate (4 × 4 inches; 2 mm thickness) by using 50 μm doctor blade. WO3/PVA solution showed the antibacterial properties measure by agar disc diffusion method on gram positive and negative bacterial culture S. coli and E. bacterial culture and the obtained results after incubation were showing very minor zone of incubation as compare to previous studies. Thermal insulation of coated glass samples were increased with % of WO3 NPs concentration in PVA and validate by significant coefficient of determination (R2 = 0.985).
XCI
Authors: Olaya Aramo 
Published: October 2024

Abstract
XCI (‘X’ Contact Improvisation) is proposed as an ongoing practice as research process in the interstices of contact improvisation and queer sexuality practices. This article narrates the author's practice as research process with XCI, explaining why they are committed to this approach to CI, reporting some results, and offering a theoretical background. XCI researches how sexual intimacy is embedded in CI practice. It can offer some practices to acknowledge the occurrence of the sexual in CI spaces, making it present and accountable. XCI is proposed as a practice of non-violent queer sexuality that can foster sexual cosensing and somatic communication and relationality, and that could eventually destabilize performative, symbolic practices. XCI intends to help articulate a politically transformative language of flesh.
Something We Touch or That Touches Us
Authors: Greene Lisa Claire 
Published: October 2024

Abstract
Using a framework of neuroplasticity and Cognitive Behavioral Therapy, this chapter explores a beginner’s experience of Contact Improvisation (CI) and how it affects the mind and body over time. It makes use of personal anecdotes, data around perceptual systems, and an intersectional history of CI to hash out how this dance form affects dancers and how an informed use of these trends can contribute to an overall practice. The chapter includes the experience of writing the chapter in real time and how the process was complicated by a myopic exposure to the history of CI, participation in residency at Oberlin College, as well as attending the CI @ 50 festival in 2022.
Pulse Pressure and Cardiovascular and Kidney Outcomes by Age in the Chronic Renal Insufficiency Cohort (CRIC)
Authors: Fischman Clara J , Townsend Raymond R , Cohen Debbie L , Rahman Mahboob , Weir Matthew R , Juraschek Stephen P , South Andrew M , Appel Lawrence J , Drawz Paul , Cohen Jordana B ,   the CRIC Study Investigators, Anderson Amanda H , Chen Jing , Dember Laura M , Go Alan S , Lash James P , Rao Panduranga S , Shah Vallabh O , Unruh Mark L 
Published: October 2024

Abstract

BACKGROUND
Wide pulse pressure (PP) is associated with cardiovascular events and the progression of chronic kidney disease (CKD) to kidney failure. PP naturally widens with age, but it is unclear whether the risks associated with greater PP are the same across all ages.

METHODS
We used Cox proportional hazards models to investigate the association of PP with (i) atherosclerotic cardiovascular disease (ASCVD) events or death and (ii) a 50% reduction in estimated glomerular filtration rate or kidney failure in the chronic renal insufficiency cohort (CRIC). We evaluated the association of time-updated PP with these outcomes, accounting for time-updated confounders using inverse probability weighting.

RESULTS
Among 5,621 participants with CKD, every 10-mmHg greater PP was associated with a 6% higher risk of an ASCVD event or death (hazard ratio [HR] = 1.06, 95% CI 1.04, 1.08) and 17% higher risk of the composite kidney outcome (HR = 1.17, 95% CI 1.16, 1.18). Greater PP was associated with a higher risk of ASCVD events or death among participants in the lowest age tertile (21–61 years), but a higher risk of the composite kidney outcome in the oldest age tertile (71–79 years). While wide PP in participants that experienced the primary outcomes was predominantly driven by elevated SBP, PP remained significantly associated with the composite kidney outcome across all ages and with ASCVD events or death in the first age tertile when SBP was added to the Cox regression model.

CONCLUSIONS
Our findings suggest that the mechanism by which PP is associated with adverse outcomes may differ by age.
Single-cell mosaic integration and cell state transfer with auto-scaling self-attention mechanism
Authors: Rong Zhiwei , Song Jiali , Yu Yipei , Mi Lan , Qiu ManTang , Song Yuqin , Hou Yan 
Published: October 2024

Abstract
The integration of data from multiple modalities generated by single-cell omics technologies is crucial for accurately identifying cell states. One challenge in comprehending multi-omics data resides in mosaic integration, in which different data modalities are profiled in different subsets of cells, as it requires simultaneous batch effect removal and modality alignment. Here, we develop Multi-omics Mosaic Auto-scaling Attention Variational Inference (mmAAVI), a scalable deep generative model for single-cell mosaic integration. Leveraging auto-scaling self-attention mechanisms, mmAAVI can map arbitrary combinations of omics to the common embedding space. If existing well-annotated cell states, the model can perform semisupervised learning to utilize existing these annotations. We validated the performance of mmAAVI and five other commonly used methods on four benchmark datasets, which vary in cell numbers, omics types, and missing patterns. mmAAVI consistently demonstrated its superiority. We also validated mmAAVI's ability for cell state knowledge transfer, achieving balanced accuracies of 0.82 and 0.97 with less 1% labeled cells between batches with completely different omics. The full package is available at https://github.com/luyiyun/mmAAVI.