bluuebunny/crossref_metadata_2025_split huggingface dataset:
Addressing the Hubble and S
8 tensions with a kinetically mixed dark sector
Authors: Alexander Stephon , Bernardo Heliudson , Toomey Michael W. 
Published: March 2023

Abstract
We present a kinetically mixed dark sector (KMIX) model to address the Hubble and S
8
tensions. Inspired from string theory, our model includes two fields: an axion, which plays a role
similar to the scalar field in early dark energy models, and a dilaton. This theory differs from
other axio-dilaton models aimed at the Hubble tension in that there is necessarily kinetic mixing
between the two fields which allows for efficient energy transfer from the axion into the dilaton
which has w ≈ 1. As a direct consequence of these dynamics, we find the model does not need
to resort to a fine-tuned potential to solve the Hubble tension and naturally accommodates a
standard axion potential. Furthermore, the axion will necessarily makeup a small (fuzzy) fraction
of Ωcdm once it begins to oscillate at the bottom of its potential and will suppress
the growth of perturbations on scales sensitive to S
8. Interestingly, the scale of the
potential for the dilaton has to be small, ≲ 𝒪(10 meV)4, suggesting the
possibility for a connection to dark energy. Implementing the dynamics for the background and
perturbations in a modified Boltzmann code we calculate the CMB and matter power spectra for our
theory. Exploring the parameter space of our model, we find regions which can accommodate a ∼
10% increase in H
0 from the Planck inferred value and S
8 values that are consistent with
large-scale structure constraints.
Colossal negative magnetoresistance in spin glass Na(Zn,Mn)Sb
Authors: Yu Shuang , Peng Yi , Zhao Guoqiang , Zhao Jianfa , Wang Xiancheng , Zhang Jun , Deng Zheng , Jin Changqing 
Published: March 2023

Abstract
We report the study of magnetic and transport properties of polycrystalline and single crystal Na(Zn,Mn)Sb, a new member of “111” type of diluted magnetic materials. The material crystallizes into Cu2Sb-type structure which is isostructural to “111” type Fe-based superconductors. With suitable carrier and spin doping, the Na(Zn,Mn)Sb establishes spin-glass ordering with freezing temperature (T

f
) below 15 K. Despite lack of long-range ferromagnetic ordering, Na(Zn,Mn)Sb single crystal still shows sizeable anomalous Hall effect below T

f
. Carrier concentration determined by Hall effect measurements is over 1019 cm–3. More significantly, we observe colossal negative magnetoresistance (MR ≡ [ρ(H) − ρ(0)]/ρ(0)) of –94% in the single crystal sample.
Wavelength-tunable organic semiconductor lasers based on elastic distributed feedback gratings
Authors: Liu Chengfang , Lin He , Ji Dongzhou , Yu Qun , Chen Shuoguo , Guo Ziming , Luo Qian , Liu Xu , Lai Wenyong 
Published: March 2023

Abstract
Wavelength-tunable organic semiconductor lasers based on mechanically stretchable polydimethylsiloxane (PDMS) gratings were developed. The intrinsic stretchability of PDMS was explored to modulate the period of the distributed feedback gratings for fine tuning the lasing wavelength. Notably, elastic lasers based on three typical light-emitting molecules show comparable lasing threshold values analogous to rigid devices and a continuous wavelength tunability of about 10 nm by mechanical stretching. In addition, the stretchability provides a simple solution for dynamically tuning the lasing wavelength in a spectral range that is challenging to achieve for inorganic counterparts. Our work has provided a simple and efficient method of fabricating tunable organic lasers that depend on stretchable distributed feedback gratings, demonstrating a significant step in the advancement of flexible organic optoelectronic devices.
Fibers in smaller fascicles have lower activation thresholds with cuff electrodes due to thinner perineurium and smaller cross-sectional area
Authors: Davis Christopher J , Musselman Eric D , Grill Warren M , Pelot Nicole A 
Published: March 2023

Abstract

Objective. In nerve stimulation therapies, fibers in larger fascicles generally have higher activation thresholds, but the mechanisms are not well understood. We implemented and analyzed computational models to uncover the effects of morphological parameters on activation thresholds. Approach. We implemented finite element models of human vagus nerve stimulation to quantify the effects of morphological parameters on thresholds in realistic nerves. We also implemented simplified models to isolate effects of perineurium thickness, endoneurium diameter, fiber diameter, and fascicle location on current density, potential distributions (V
e), and activation thresholds across cuff geometries and stimulation waveforms. Using V
e from each finite element model, we simulated activation thresholds in biophysical cable models of mammalian axons. Main results. Perineurium thickness increases with fascicle diameter, and both thicker perineurium and larger endoneurial diameter contributed to higher activation thresholds via lower peak and broader longitudinal potentials. Thicker perineurium caused less current to enter the fascicle transversely, decreasing peak V
e. Thicker perineurium also inhibited current from leaving the fascicle, causing more constant longitudinal current density, broadening V
e. With increasing endoneurial diameter, intrafascicular volume increased faster than surface area, thereby decreasing intrafascicular current density and peak V
e. Additionally, larger fascicles have greater cross-sectional area, thereby facilitating longitudinal intrafascicular current flow and broadening V
e. A large neighboring fascicle could increase activation thresholds, and for a given fascicle, fiber diameter had the greatest effect on thresholds, followed by fascicle diameter, and lastly, fascicle location within the epineurium. The circumneural cuff elicited robust activation across the nerve, whereas a bipolar transverse cuff with small contacts delivering a pseudo-monophasic waveform enabled more selective activation across fiber diameters and locations. Significance. Our computational studies provide mechanistic understanding of neural responses across relevant morphological parameters of peripheral nerves, thereby informing rational design of effective therapies.
Study on Fine Wave Forecasting for Offshore Wind Farms
Authors: Zhang Guofeng , Yin Junjie , Cheng Chen , Han Qiqi , Li Lianbing 
Published: March 2023

Abstract
In order to ensure the safety of offshore operation and maintenance personnel and the smooth progress of major offshore projects, this paper establishes a prediction model of wave height and wave period based on support vector regression (SVR). First, the observation data of Xiaochangshan meteorological station from August 2021 to July 2021 are used to build a prediction model, and the data are preprocessed, and parameters are optimized. Then, the model trained with nine characteristics is evaluated for error under the test set, and the comparison image between the predicted value and the actual wind wave height and wind wave period is output. Finally, the observation data of the meteorological station in early August 2021 are used for verification of one hour and one day (24 hours). The experimental results show that the model can predict the wave height and wave period of the next hour and day, and the maximum error is not more than 0.4m, which can effectively provide a reasonable technical reference for the short-term prediction of the effective wave height of offshore waves.
The Real-time Fault Detection Method of Grounding the Circulating Current of Transmission Cable Based on the Wavelet Energy Spectrum of Module Component
Authors: Wang Qianjin , Yang Jinhai , Liu Xuefeng , Yu Lei , Lin Ying 
Published: March 2023

Abstract
Currently, the existing fault detection methods have problems in that the detection results are not in line with reality and the detection accuracy is too low when detecting the grounding circulation fault of transmission cables. This paper introduces the wavelet energy spectrum of module components to design and study the real-time fault detection method of grounding the circulating current of the transmission cable. In this study, the wavelet-based detection function that meets the requirements of fault detection is selected. On this basis, the traveling wave fault features are extracted by using the wavelet energy spectrum of the module component. Finally, the fault detection signal is decomposed in real-time, and the fault detection is realized according to the practical value of the reconstructed signal. The comparative experiment proves that the new detection method can get the detection result of the grounding current fault of the cable, which is more in line with the actual situation and has very high detection accuracy.
Research and Practice on Slope Monitoring of Power Grid Construction Based on IoT Technology
Authors: Zhang Chengwei , Liu Qin , Chen Bingqian , Huang Zhiting , Huang Xin , Yan Yan 
Published: March 2023

Abstract
In order to solve the shortcomings of traditional slope monitoring technology in automation, timeliness, and intelligence, this paper studies a slope monitoring system for high slopes in power grid construction based on power Internet of Things technology with characteristics of comprehensive perception, reliable delivery, and convenient application. By applying high-precision sensors, the plane and elevation monitoring accuracy of the system can reach a millimeter level. The layout principle of digital slope monitoring sensors is summarized and proposed according to traditional slope monitoring data in a power grid construction project in order to solve the relationship between actual slope monitoring demand and equipment investment. The slope monitoring system is applied in the three-level slope of a pilot project, and this technology realizes real-time judgment, efficient data transmission, and processing, making the obtained slope stability information more comprehensive, dynamic, and reliable.
Optimization of operation and maintenance path of offshore wind turbine based on ICS-BP
Authors: Zhang Guofeng , Yin Junjie , Cheng Chen , Li Lianbing , Xiao Yaze , Han Qiqi 
Published: March 2023

Abstract
An ICS-BP model for the operation and maintenance of the path optimization method is proposed to solve the path optimization problem based on the actual operation and maintenance of offshore wind turbines. The model comprehensively considers the impact of offshore wind speed and waves on the operation and maintenance ships, obtains the equivalent path matrix through the BP neural network model, and optimizes the path through the improved Cuckoo algorithm search (ICS). To verify the model’s effectiveness, the data of an offshore wind field is used, and the optimized path is greatly improved compared with other methods.
Array Sensor Output Signal Detection System Signal Conditioning Circuit Design
Authors: Lei Yang 
Published: March 2023

Abstract
The signal output by the array sensor is generally very weak, with a large dynamic range and a wide range of signal frequencies. In order to solve the problem of accurate measurement of weak signals with wide frequency and large dynamic range, this paper proposes a design method of sub-band filtering and variable gain amplifying circuit based on the analog switch, divides the signal into four frequency bands, and designs four groups of second-order voltage control filter, and adjust the magnification for different frequency signals, and only need to switch the corresponding resistance and capacitance to realize the switching of signal processing circuits of different frequency bands, which greatly optimizes the circuit structure. In order to reduce the interference in the transmission process, a single-ended differential circuit is designed to transmit the processed signal to the subsequent acquisition system for acquisition. After the simulation test, the signal conditioning circuit can effectively improve the signal-to-noise ratio of the detection signal and improve the measurement accuracy.
Research on 3D Modeling and Dynamic characteristics of wind turbine blade
Authors: Li Pengpeng , Tohti Gulbahar , Geni Mamtimin , Ma Wensong 
Published: March 2023

Abstract
In order to prevent blade resonance, reduce blade deflection, improve wind turbine power generation efficiency and wind energy utilization rate, the blade model of 3 kW wind turbine is established, and the natural frequency of wind turbine blade is analyzed. Based on the vibration theory, the effects of dynamic stiffening and rotational softening on the natural frequencies of blades are analyzed. Study the change rule of blade vibration mode under rotating speed of 0~300rpm, and analyze the influence of two effects on blade frequency. The results show that at low speed, the rotating softening effect of the blade is obvious, and the vibration frequency decreases; At high speed, the stress stiffening effect is more obvious, the vibration frequency increases, and the coupling vibration has greater destructiveness.
Modified Cam-clay Model Parameters M of Kunming Red Clay
Authors: Liu Xianru , Li Jianguang , Yi Ren , Zhao Kuangjie 
Published: March 2023

Abstract
Red clay is widely distributed in Kunming. At present, there are many engineering projects in Kunming, and many engineering projects are built on red clay. Therefore, it is very important to study the mechanical properties of red clay. Kunming red clay was remolded and prepared, and triaxial consolidation drainage tests of remolded saturated clay with the same water content and different dry densities were designed. Through the triaxial consolidation drainage test, the shear strength parameters of Kunming saturated red clay and the modified Cam-clay model parameters are obtained. The experimental results show that the modified Cam-clay model parameters of saturated red clay with the same water content and dry density are basically equal, and the larger the dry density is, the larger the modified Cam-clay model parameter M of saturated red clay is. The test results can provide reference data for engineering design in the Kunming area and modified Cam-clay model simulation in the Kunming area.
A Hybrid Algorithm for Two-dimensional and Three-stage Exact Packing Optimization Problem
Authors: Sun Yifan , Zhang Chuang , Liu Rui , Jia Limin , Qin Yong , Wang Zhipeng 
Published: March 2023

Abstract
In this paper, we study the packing optimization problem of square plates under the conditions that the cutting mode is guillotine cut, the number of cutting stages cannot exceed 3, and the order sequence is not considered. Because it is difficult to determine the constraint conditions in the process of stacking items into stacks, we divide the nonlinear integer programming model into two stages to establish: one stage is the process of stacking items into stacks followed by splicing them into stripes, and the other stage is the process of forming stripes. Finally, a packing optimization algorithm is proposed to solve the problem, which combines an improved bottom-up left-justified algorithm (BL algorithm), greedy algorithm, and iterative sequential value correction algorithm (ISVC algorithm) with a genetic algorithm (GA) as the core. Using this algorithm to solve the data after data preprocessing, the average plate utilization rate can reach 89.29%, which is 10.42% more than the final data without any processing.
Spatial awareness application using mixed reality for 3D X-ray CT examination
Authors: Kase H. , Nishizawa J. , Tabata K. , Takagi K. , Aoki T. 
Published: March 2023

Abstract
In the medical field, X-ray computed tomography (CT) is used to determine the size of defects and damage in an examined object, and to diagnose infectious diseases. Generally, data captured by 3D X-ray CT are viewed as images in three directions (sagittal, axial, and coronal) on a computer. However, augmented reality, virtual reality, and mixed reality are emerging as alternatives for imaging captured data for 3D X-ray CT and are used for medical simulations and educational purposes. Although these techniques are capable of 3D expression, they are limited to the representation of the surface structure of the object. The original function required of these technologies is to check the tomographic image of a specific part of the object by specifying any direction and position in three dimensions. This study proposes a method of representation in which a 2D digital imaging communication image is superimposed on a surface-rendered cross-section of an object. In addition, it proposes a pointing system using motion capture and a spatial reality display. The observer can confirm the object from any direction and understand the structure spatially. It can be moved and rotated with movements similar to actually holding, grabbing, moving, and rotating with hands. Moreover, the cross-section can be observed in any direction. In addition, by matching the respective scales of the device and application, the object can be represented with an error of less than 1 mm in the horizontal, vertical, and depth directions with respect to the actual object. Therefore, the proposed method is an effective 3D representation method in 3D X-rays, which are voxel data containing internal information. Furthermore, this method can easily indicate the desired location where the cross-section image can be viewed in a CT image. This study will help improve the efficiency of 3D X-ray inspection and surgery in the medical field.
Does rotation increase the acoustic field of view? Comparative models based on CT data of a live dolphin versus a dead dolphin
Authors: Wei Chong , Houser Dorian , Erbe Christine , Mátrai Eszter , Ketten Darlene R , Finneran James J 
Published: March 2023

Abstract
Rotational behaviour has been observed when dolphins track or detect targets, however, its role in echolocation is unknown. We used computed tomography data of one live and one recently deceased bottlenose dolphin, together with measurements of the acoustic properties of head tissues, to perform acoustic property reconstruction. The anatomical configuration and acoustic properties of the main forehead structures between the live and deceased dolphins were compared. Finite element analysis (FEA) was applied to simulate the generation and propagation of echolocation clicks, to compute their waveforms and spectra in both near- and far-fields, and to derive echolocation beam patterns. Modelling results from both the live and deceased dolphins were in good agreement with click recordings from other, live, echolocating individuals. FEA was also used to estimate the acoustic scene experienced by a dolphin rotating 180° about its longitudinal axis to detect fish in the far-field at elevation angles of −20° to 20°. The results suggest that the rotational behaviour provides a wider insonification area and a wider receiving area. Thus, it may provide compensation for the dolphin’s relatively narrow biosonar beam, asymmetries in sound reception, and constraints on the pointing direction that are limited by head movement. The results also have implications for examining the accuracy of FEA in acoustic simulations using recently deceased specimens.
Cu2−x
Se nanoparticles suppress cell proliferation and migration in hepatocellular carcinoma by impairing mitochondrial respiration
Authors: Liu Yali , Liu Wuyi , Li Guobing , Lai Wenjing , Hu Changpeng , Zhang Qian , Zhou Min , Lu Laichun , Huang Jingbin 
Published: March 2023

Abstract
Cu2−x
Se nanoparticles (Cu2−x
Se NPs) as a new therapeutic drug platform is widely used in disease treatment due to their strong near-infrared optical absorption. In recent years, with their continuous expansion of applications in different fields, their own biological effects have received increasing attention. However, little is known about the effect of Cu2−x
Se NPs on cancer cell. In this research, we found that Cu2−x
Se NPs inhibited proliferation of HepG2 cells (IC50: 15.91 μM) and SMMC-7721 cells (IC50: 43.15 μM) and they mainly induced cell cycle arrest at the G2/M phase. Moreover, Cu2−x
Se NPs inhibited HepG2 and SMMC-7721 cell migration and lamellopodia formation. Further studies indicated that Cu2−x
Se NPs impaired mitochondrial respiration by inhibiting electron transport chain complex activity, thus reducing adenosine triphosphate levels. The insufficient energy supply subsequently impaired actin cytoskeleton assembly, ultimately inhibiting HepG2 and SMMC-7721 cell proliferation and migration. These findings suggest that Cu2−x
Se NPs may have potentially antitumor activity, which might provide new insights of NPs into specific cancer treatment.
Atmospheric verification of emissions reductions on paths to deep decarbonization
Authors: Abdulla Ahmed , Telschow Fabian JE , Dohner Julia , Keeling Ralph F , Schwartzman Armin , Victor David G 
Published: March 2023

Abstract
A central challenge for sustaining international cooperation to cut global greenhouse gas emissions is confidence that national policy efforts are leading to a meaningful impact on the climate. Here, we apply a detection protocol to determine when the measurable signal of atmospheric CO2 can be distinguished from the noise of the carbon cycle and uncertainties in emission trends. We test that protocol with a database of 226 emission mitigation scenarios—the universe of scenarios vetted by the Intergovernmental Panel on Climate Change. These scenarios are descriptive of ‘baseline’ trajectories of emissions trends in the absence of new policies along with trajectories that reflect substantial policy efforts to stop warming at 1.5 °C–2 °C above pre-industrial levels, as embodied in the Paris Agreement. The most aggressive mitigation scenarios (i.e. 1.5 °C) require 11–16 years to detect a signal of demonstrable progress from the noise; 2 °C scenarios lengthen detection by at least a decade. As more climate policy analysts face the reality that goals of 1.5 °C–2 °C seem infeasible, they have developed ‘overshoot’ scenarios with emissions that rise above the agreed goal and then, later on, fall aggressively to achieve it. These pathways come at the political cost of a 1–2 decade delay in detection, even for the 1.5 °C scenarios. The Paris Agreement requires a global ‘stocktake’ that interrogates national mitigation efforts; our results suggest that this effort must grapple with the question of when the world can gain confidence that the diplomacy on climate is demonstrably making an impact.
Numerical study of microstructured fiber with concentric dual rings for supporting orbital angular momentum mode propagation
Authors: Wang Xiaohui , Yu Yongze , Gu Haoyu , Deng Dongdong , Wang Yang , Mao Shuai , Song Yingxiong , Pang Fufei , Zhuang Liyun , Yang Song , He Xiaofeng , Wei Dandan , Yang Yudong 
Published: March 2023

Abstract
A microstructured fiber with two concentric high-refractive-index rings is proposed to support more orbital angular momentum (OAM) beam propagations and OAM-based mode-division multiplexing (MDM) for improving the channel capacity and spectral efficiency. The two ring cores can be considered as two independent OAM channels without interference for enhancing more OAM channels. A finite element method (FEM) is employed to numerically study the properties of the designed fiber. A large effective refractive index difference between the adjacent OAM modes is achieved, which indicates that the propagated OAM modes can be well separated without multiple input, multiple output in each of the two rings. The calculated results demonstrate that a total of 80 OAM modes with a mode quality above 70% is achieved without any high-order radial modes from 1.5 to 1.6 μm, which contains 18 inner-ring OAM modes and 62 outer-ring OAM modes. Moreover, the designed fiber possesses low confinement loss (<2.2 × 10−7 dB m−1) and can be potentially utilized for high-capacity communications by OAM-based MDM.