bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feedback based gas sensing setup for ppb to ppm level sensing
Authors: Tom Abin , Singh Dharmendra Kumar , Shaw Vishal Krishna , Abhijith P. V. , Sajana S. , Kirandas P. S. , Dixit Viney , Kamble Vinayak , Pai S. P. , Jaiswal-Nagar D. 
Published: August 2024

Sensing and quantification of gas at low concentrations is of paramount importance, especially with highly flammable and explosive gases such as hydrogen. Standard gas sensing setups have a limit of measuring ultra-low concentrations of few parts per billion unless the external gas cylinders are changed to ones with low concentrations. In this work, we describe a home-built resistance based gas sensing setup that can sense across a wide concentration range, from parts per billion to parts per million, accurately. This was achieved using two dilution chambers: a process chamber and a feedback assembly where a part of the output gas from the dilution chamber is fed back to the inlet mass flow controller, enabling enhanced dilutions without increasing the number of mass flow controllers. In addition, the gas-sensing setup can measure across a large temperature range of 77–900 K. The developed setup was then calibrated using palladium thin films and ZnO nanoparticle thin films. The setup was tested for reproducibility, concentration response, temperature response, etc. Corresponding sensitivity values were calculated and found to be in good agreement with published values, validating our setup design.
PVP-assisted synthesis of NiSnO3 firmly anchored on graphene as a high-performance lithium battery: A combination of theoretical and experimental study
Authors: Chen Junjie , Chen Yue , Zhang Ruidan 
Published: August 2024

Tiny NiSnO3 nanoparticles with the assistance of polyvinylpyrrolidone (PVP) are prepared to uniformly and stably “bond” on the surface of graphene to form a stable NiSnO3/RGO-PVP structure. At the same time, the excellent performance of lithium-ion batteries (LIBs) with the use of NiSnO3/RGO-PVP structure is verified through a dual combination of experiment and theory. The resulting NiSnO3/RGO-PVP structure enhanced the performance of LIBs with high cycling stability and better rate capability; even after undergoing rate performance tests at different high current densities, the NiSnO3/RGO-PVP electrode can still reach a capacity of 624 mA h g−1 at 200 mA g−1 after 400 cycles. The superior electrochemical performance of NiSnO3/RGO-PVP nanocomposites can be attributed to the synergistic effects between tiny NiSnO3 nanoparticles synthesized with the assistance of PVP and RGO, which can be verified through first-principles calculations based on DFT. The charge transfer between NiSnO3 and RGO through an electron density difference indicates a strong interaction between the two. Meanwhile, the low adsorption energies (−3.914, −0.77, and −0.65 eV), low diffusion barriers (0.025, 0.49, and 0.141 eV), and high diffusion coefficients (1.79 × 10−3, 5.38 × 10−11, and 2.97 × 10−5 cm2 s−1) of lithium ions at three different positions indicate the excellent rate performance of the NiSnO3/RGO-PVP heterostructure, which is consistent with experimental results. This work analyzes the excellent electrochemical performance of NiSnO3/RGO-PVP from the experimental results and supports the reliability of the experimental results through theoretical calculations.
Hole statistics of equilibrium 2D and 3D hard-sphere crystals
Authors: Wang Haina , Huse David A. , Torquato Salvatore 
Published: August 2024

The probability of finding a spherical “hole” of a given radius r contains crucial structural information about many-body systems. Such hole statistics, including the void conditional nearest-neighbor probability functions GV(r), have been well studied for hard-sphere fluids in d-dimensional Euclidean space Rd. However, little is known about these functions for hard-sphere crystals for values of r beyond the hard-sphere diameter, as large holes are extremely rare in crystal phases. To overcome these computational challenges, we introduce a biased-sampling scheme that accurately determines hole statistics for equilibrium hard spheres on ranges of r that far extend those that could be previously explored. We discover that GV(r) in crystal and hexatic states exhibits oscillations whose amplitudes increase rapidly with the packing fraction, which stands in contrast to GV(r) that monotonically increases with r for fluid states. The oscillations in GV(r) for 2D crystals are strongly correlated with the local orientational order metric in the vicinity of the holes, and variations in GV(r) for 3D states indicate a transition between tetrahedral and octahedral holes, demonstrating the power of GV(r) as a probe of local coordination geometry. To further study the statistics of interparticle spacing in hard-sphere systems, we compute the local packing fraction distribution f(ϕl) of Delaunay cells and find that, for d ≤ 3, the excess kurtosis of f(ϕl) switches sign at a certain transitional global packing fraction. Our accurate methods to access hole statistics in hard-sphere crystals at the challenging intermediate length scales reported here can be applied to understand the important problem of solvation and hydrophobicity in water at such length scales.
Impact of fire return interval on pyrogenic carbon stocks in a tropical savanna, North Queensland, Australia
Authors: Haig Jordahna , Sanderman Jonathan , Zwart Costijn , Smith Colleen , Bird Michael I. 
Published: August 2024

Background Indigenous fire management in northern Australian savannas (beginning at least 11,000 years ago) involved frequent, small, cool, early dry season fires. This fire regime changed after European arrival in the late 1700s to unmanaged fires that burn larger areas, late in the dry season, detrimental to carbon stocks and biodiversity. Aims Test the hypothesis that significant sequestration of pyrogenic carbon in soil accompanies the reimposition of an Indigenous fire regime. Methods Savanna soils under the same vegetation, but with the number of fires varying from 0 to 13 (irrespective of the season) between 2000 and 2022 were sampled. Organic and pyrogenic carbon stocks as well as carbon isotope composition of the 0–5 cm soil layer were determined along sample transects with varying fire return intervals. Key results An average increase of 0.25 MgC ha−1 was observed in soil pyrogenic carbon stocks in transects with ≥5 fires, compared to transects with 0–4 fires, with a small increase in soil organic carbon stocks that was not significant. Conclusions A return to more frequent fires early in the dry season has the potential to sequester significant pyrogenic carbon in northern Australian savanna soils on decadal timescales.
Liquid-immersion inclined-rotated exposure system for fabricating three-dimensional microstructures with large inclination angles
Authors: Kagawa Gakuto , Takahashi Hidetoshi 
Published: August 2024

Abstract
This study utilized liquid-immersion inclined-rotated ultraviolet lithography to fabricate three-dimensional (3D) microstructures. The maximum achievable inclination angles obtained through conventional inclined-rotated exposure (IRE) methods were limited by the significant refractive index differences in material. We proposed an IRE with liquid-immersion and adjustable mirrors, which enabled greater inclination angles with improved adjustability. Using liquid as a medium helped minimize the refractive index disparities between materials. We fabricated polydimethylsiloxane molds for micro suction cup (MSC) array sheets to evaluate the performance of the developed liquid-immersion IRE. The resulting MSC array sheets (10 mm2) with a suction cup diameter of 500 μm, achieved inclination angles up to 51°, approximately double those obtained with the conventional IRE method. In addition, the suction force of the fabricated MSC arrays were evaluated by pulling along the vertical, horizontal, and edge directions under wet conditions. The maximum measured suction force was 0.15 N, confirming the effectiveness of the proposed liquid-immersion IRE in fabricating 3D microstructures, as demonstrated by the fabricated MSC array sheets.
Rainbow trapping and concentration of surface waves on broad waveguide
Authors: Chen Yuyang , Guo Zhaoyang , Liu Yijie , Li Jiahao , Yu Zhiwei 
Published: August 2024

Abstract
In recent years, topological insulators have been widely designed to manipulate various types of classical waves. The topological edge states characterized by defect and backscattering immunity show great application potential in energy harvesting. This work reports a spin-locked topological surface wave channel, which consists of concrete-filled steel tubes (CFST) placed on foundation soil. Here, the distance between the lattice and the center of the CFST controls the hopping strength between adjacent atoms, determining the topological phase transition. Introducing the surface wave crystal with Dirac cones in the interface, then the robust broad waveguide modes of phononic heterostructure are explored. Notably, incorporating the rainbow effect allows for precise regulation and reliable concentration within the broad waveguide. The proposed broad waveguide surpasses traditional waveguides by simultaneously focusing and segregating energy, enabling applications in low-frequency energy harvesting, sensing, and logic gates. Our work will provide an efficient recovery platform for daily vibration energy, especially for vehicle loads.
Low-lying excited states in 62Ge investigated by multinucleon knock-out reaction
Authors: Elekes Z , Panin V , Rodríguez T R , Sieja K , Ahn D S , Al-Adili A , Baba H , Stefanescu A I , Cook K J , Dósa Cs , Fukuda N , Gao J , Gibelin J , Hahn K I , Halász Z , Huang S W , Isobe T , Juhász M M , Kim D , Kobayashi T , Kondo Y , Korkulu Z , Kurihara A , Kuti I , Miki H , Miki K , Motobayashi T , Otsu H , Saastamoinen A , Sasano M , Sato H , Shadhin N H , Shimada T , Shimizu Y , Stefanescu I C , Stuhl L , Suzuki H , Takeda H , Togano Y , Tomai T , Trache L , Tudor D , Uesaka T , Utsuki Y , Wang H , Yasuda A , Yoneda K , Yoshitome Y 
Published: August 2024

Abstract
The low-energy states of the proton-rich nucleus 62Ge were studied by the multinucleon knock-out reaction 67Se(12C,X)62Ge using a 12C target. The analysis of the Doppler-corrected singles spectrum of the γ rays showed two transitions at 744(20) keV and 948(17) keV, which were found to be in coincidence with each other, forming a cascade and establishing two states at 948(17) keV and 1692(26) keV. The 744 keV transition was detected for the first time, and based on a comparison of the experimental data to shell-model and symmetry-conserving-configuration-mixing-model calculations, it connects the second and first 2+ levels. The beyond-mean-field model suggests that these states belong to two different bands with triaxial features and similar deformation.
Micromagnetic analysis of magnetic vortex dynamics for reservoir computing
Authors: Feng Ruoyan , Mohan John Rex , Yamanaka Chisato , Hasunaka Yosuke , Mathew Arun Jacob , Fukuma Yasuhiro 
Published: August 2024

Abstract
Reservoir computing (RC) has generated significant interest for its ability to reduce computational costs compared to traditional neural networks. The performance of the RC element is quantified by its memory capacity (MC) and prediction capability. In this study, we utilize micromagnetic simulations to investigate a magnetic vortex based on a permalloy ferromagnetic layer and its dynamics in RC. The nonlinear dynamics of the vortex core (VC), driven by continuous oscillating magnetic fields and binary digit data as spin-polarized current pulses, are analyzed. The highest MC observed is 4.1, corresponding to the nonlinear VC dynamics. Additionally, the prediction capability is evaluated using the Nonlinear Auto-Regressive Moving Average 2 task, demonstrating a normalized mean squared error of 0.0241 highlighting the time-series data prediction performance of the vortex as a reservoir.
A novel exponential unsaturated bistable stochastic resonance-boosted incipient fault identification in rotating machineries
Authors: Liu Jian , Tang Can , Hu Bing , Guo Jiaqi , Qiao Zijian , Liao Zhiqiang 
Published: August 2024

Abstract
Stochastic resonance (SR) for weak fault detection stands as a significant constructive methodology leveraging noise in nonlinear information systems processing. In virtue of the SR technique in conjunction with coupled non-saturated nonlinear systems, an exponential unsaturated bistable stochastic resonance (EUBSR) model is developed to enhance output levels. By integrating the exponential monostable stochastic resonance system (ESR) and the unsaturated bistable stochastic resonance (UBSR) system through coupling coefficients, this model offers a broader spectrum of resonance characteristics. The performance of the EUBSR is evaluated based on the relevant indicators signal-to-noise ratio (SNR) and residence time distribution ratio. These indicators are treated as multi-objective functions, with the coati optimization algorithm employed to optimize both the parameters and coupling coefficients of the EUBSR model simultaneously. Moreover, the paper takes into account the interdependence of nonlinear systems and their interactions by considering both cascade and parallel models of the ESR and UBSR systems. Fault diagnosis is carried out on simulation signals and bearings to validate the effectiveness of the proposed EUBSR model. The results demonstrate that the EUBSR model surpasses not only its individual component models but also cascade and parallel models.
SAHA potentiates the activity of repurposed drug promethazine loaded PLGA nanoparticles in triple-negative breast cancer cells
Authors: Choudhury Konika , Sen Plaboni , Ghosh Siddhartha Sankar 
Published: August 2024

Abstract
Triple-negative breast cancer (TNBC) is considered the most aggressive form of breast cancer owing to the negative expression of targetable bioreceptors. Epithelial to mesenchymal transition (EMT) associated with metastatic abilities is its critical feature. As an attempt to target TNBC, nanotechnology was utilised to augment the effects of drug repurposing. Concerning that, a combination therapeutic module was structured with one of the aspects being a repurposed antihistamine, promethazine hydrochloride loaded PLGA nanoparticles. The as-synthesized nanoparticles were 217 nm in size and fluoresced at 522 nm, rendering them suitable for theranostic applications too. The second feature of the module was a common histone deacetylase inhibitor, suberoylanilide hydroxamic acid (SAHA), used as a form of pre-treatment. Experimental studies demonstrated efficient cellular internalisation and significant innate anti-proliferative potential. The use of SAHA sensitised the cells to the drug loaded nanoparticle treatment. Mechanistic studies showed increase in ROS generation, mitochondrial dysfunction followed by apoptosis. Investigations into protein expression also revealed reduction of mesenchymal proteins like vimentin by 1.90 fold; while increase in epithelial marker like E-Cadherin by 1.42 fold, thus indicating an altered EMT dynamics. Further findings also provided better insight into the benefits of SAHA potentiated targeting of tumor spheroids that mimic solid tumors of TNBC. Thus, this study paves the avenue to a more rational translational validation of combining nanotherapeutics with drug repurposing.
Axisymmetric fluid streamer model in the AMReX library
Authors: Simonović I , Bošnjaković D , Teunissen J , Dujko S 
Published: August 2024

Abstract
We have implemented an axisymmetric fluid model of streamers in the AMReX open-source library. Our implementation is based on the first-order fluid model with a local field approximation. Photoionization is implemented by employing the Zhelenznyak’s model using the Helmholtz approach. We have verified our code in standard conditions by comparing our results for positive streamers in air with the existing benchmarks from the literature. To verify the performance of our code in strongly attaching gases, we compare the properties of negative streamers with those obtained from the Afivo-streamer open-source code. Calculations have been performed in mixtures of carbon dioxide and perfluoro-nitrile with a background number density of electrons and positive ions of 1013 m−3. We found an excellent agreement between the two sets of results, which indicates the numerical integrity of our code.
Design and motion analysis of soft robotic arm with pneumatic-network structure
Authors: Zhu Yinlong , Wang Tian , Gong Weizhuang , Feng Kai , Wang Xu , Xi Shuang 
Published: August 2024

AbstractSoft robotic arms have been widely explored in recent years because of their excellent flexibility and infinite degrees of freedom which distinguishes them form traditional rigid robots. This paper focuses on the design, fabrication and kinematic analysis of a new modular soft robotic arm featuring multiple segments, each one with three degrees of freedom. In contrast to most research, this paper utilizes soft pneu-net structure instead of fiber-reinforced structure, thereby preventing large local strains due to membrane pressurized against a fiber reinforcement. We employed finite element method and orthogonal experiment were to ascertain the optimal structural parameters. Furthermore, we present the kinematic model of the soft arm by the parameterization of the Denavit–Hartenberg convention under the basis of constant curvature assumption. Finally, the experimental evaluation of the soft robotic arm including bending angle, elongation, deflection and flexibility test were carried out. The experimental data, particularly concerning the bending angle and spatial position of both single modular and two-modular soft arm agree well with the finite element method simulation. Additionally, we performed both grasping and obstacle-avoidance grasping tests for dual modular soft robotic. The results demonstrate that the soft robotic arm exhibits superior performance and highlights its potential for various applications.
The precursor of the critical transitions in majority vote model with the noise feedback from the vote layer
Authors: Liu Wei , Wang Jincheng , Wang Fangfang , Qi Kai , Di Zengru 
Published: August 2024

Abstract
In this paper, we investigate phase transitions in the majority-vote model coupled with noise layers of different structures. We examine the square lattice and random-regular networks, as well as their combinations, for both vote layers and noise layers. Our findings reveal the presence of independent third-order transitions in all cases and dependent third-order transitions when critical transitions occur. This suggests that dependent third-order transitions may serve as precursors to critical transitions in non-equilibrium systems. Furthermore, we observe that when the structure of vote layers is decentralized, the coupling between the vote layer and the noise layer leads to the absence of critical phenomena.
Exploring antecedents to climate migration: sense of place, fear and worry, and experience
Authors: Berlin Rubin Nina , Garfin Dana Rose , Wong-Parodi Gabrielle 
Published: August 2024

Abstract
The bond between people and the place they live has significant implications for their migration decisions. However, few studies have examined how this relationship endures in the face of experience with climate-related hazards and associated emotions, and whether detachment from place may be related to future migration. Here we address this gap using cross-sectional survey data from a representative probability-based sample of 1479 residents of Texas and Florida—areas frequently affected by coastal hazards—to investigate the interplay between place attachment, place detachment, negative hazard experiences, hazard-related fear and worry, and prospective migration. We found that place attachment and detachment were inversely associated with one another, and that hazard-related fear and worry was associated with higher place detachment. Results indicated that place detachment and hazard-related fear and worry were positively associated with prospective migration, while place attachment was negatively associated with prospective migration. The absence of place attachment and presence of detachment may lower psychological barriers to relocation in the face of climate change. Negative hazard experiences were not associated with place attachment, place detachment, or prospective migration. However, our post-hoc analyses found an indirect association between negative hazard experiences and prospective migration, mediated by hazard-related fear and worry. This suggests that psychological correlates of climate hazards, possibly arising from experiencing them, may inform people’s sense of place and future migration decisions. Our findings highlight the salience of relationships with place in migration decisions and stress the importance of explicitly examining negative sentiments towards place in migration studies. These insights can both improve climate migration models and help tailor policies and programs aimed at supporting detached, fearful, and worried individuals in anticipation of future climate-related hazards.
Learning based model for predicting mechanical properties and sustainable filler band for NBR composites using lignin and carbon black
Authors: Kachirayil Antony J , Nambiathodi Vaishak , Thomas Bony , Raveendran Radhika , Varghese Siby , Mukundan Manoj Kumar , Rajesh Raghunathan 
Published: August 2024

Abstract
Experimental determination of mechanical properties of rubber composites, such as tensile strength and hardness, involves complex multistage preparation procedures that are laborious and expensive. In this study, a hybrid filler of carbon black (CB) along with a sustainable filler of lignin is added for reinforcement in the nitrile butadiene rubber (NBR) matrix, with the total filler content varying from 10 parts per hundred rubber (phr) to 80 phr. This work aims to develop a data-driven predictive model for the mechanical properties of rubber composites. An artificial neural network (ANN) model using multilayer feed-forward back-propagation has been created to forecast the tensile strength (Ts) and hardness (Hd) of rubber composites. The model predicts the uniaxial tensile response and hardness using input parameters that include total filler and lignin loading levels. The effectiveness of the suggested prediction method was demonstrated by statistical analysis using confidence intervals, showing a prediction error between 5.47% and 3.23% for the Ts and between 3.03% and 1.85% for Hd at 95% confidence intervals. A sustainable green band could be defined in the developed model, which is handy for designers to replace CB with lignin in various NBR based products, such as hoses, seals, etc., without compromising on tensile strength and hardness.