bluuebunny/crossref_metadata_2025_split huggingface dataset:
MAUNext: a lightweight segmentation network for medical images
Authors: Wang Yuhang , Wang Jihong , Zhou Wen , Liu Zijie , Yang Chen 
Published: November 2023

Abstract

Objective. The primary objective of this study is to enhance medical image segmentation techniques for clinical research by prioritizing accuracy and the number of parameters. Approach. To achieve this objective, a novel codec-based MAUNext approach is devised, focusing on lightweight backbone design and the integration of skip connections utilizing multiscale, attention mechanism, and other strategic components. The approach is composed of three core modules: a multi-scale attentional convolution module for improved accuracy and parameter reduction, a collaborative neighbourhood-attention MLP encoding module to enhance segmentation performance, and a tiny skip-connected cross-layer semantic fusion module to bridge the semantic gap between encoder and decoder. Main results. The study extensively evaluates the MAUNext approach alongside eight state-of-the-art methods on three renowned datasets: Kagglelung, ISIC, and Brain. The experimental outcomes robustly demonstrate that the proposed approach surpasses other methods in terms of both parameter numbers and accuracy. This achievement holds promise for effectively addressing medical image segmentation tasks. Significance. Automated medical image segmentation, particularly in organ and lesion identification, plays a pivotal role in clinical diagnosis and treatment. Manual segmentation is resource-intensive, thus automated methods are highly valuable. The study underscores the clinical significance of automated segmentation by providing an advanced solution through the innovative MAUNext approach. This approach offers substantial improvements in accuracy and efficiency, which can significantly aid clinical decision-making and patient treatment.
Decrypting the thermal effects on the electric field-induced material formation process on Cr thin films
Authors: Ghosh Swapnendu Narayan , Talukder Santanu 
Published: November 2023

Abstract
Controlled electrochemical reactions on chromium (Cr) thin films have been employed to create micro- and nano-scale patterns using a scanning probe-based patterning process called electrolithography (ELG). The electrochemical reaction produces a liquid material. The ELG process, being a local anodic oxidation-based technique, is significantly affected by several factors, including various ambient conditions. In this article, we explore the effects of temperature on the said electrochemical reaction-induced liquid material formation process. Keeping other ambient conditions constant, the temperature is varied over a large range, and we observe that a 40 °C change in temperature results in a 20-time change in the radial spread of the liquid region. This observation is thereafter explained by the effect of temperature on three different parameters affecting the rate of electrochemical reaction. Thus, based on this study, we can say that temperature is one of the most crucial parameters which can be used to confine the lateral spread of the formed liquid region and thereby improve the resolution of the patterns created using the ELG technique.
Super-flat coherent mid-infrared supercontinuum in all-normal dispersion As39Se61 chalcogenide photonic crystal fiber
Authors: Yang Xinyu , Yang Jian , Xu Qibo , Yang Hua 
Published: November 2023

Abstract
We numerically demonstrated the generation of super-flat coherent mid-infrared supercontinuum in all-normal dispersion (ANDi) As39Se61 chalcogenide photonic crystal fiber (PCF). The PCF with flat-ANDi and high nonlinearities is obtained by optimizing the structural parameters of the fiber. When pumping a 50 fs pulse width and 6 kW peak power laser pulses at 3.35 μm, under 3dB spectral flatness the super-flat coherent mid-infrared supercontinuum extended from 2.17 to 7.47 μm is obtianed. Such coherent mid-infrared supercontinuum are enormously required for optical coherence tomography, biological imaging and frequency metrology.
Reheating after inflaton fragmentation
Authors: Garcia Marcos A.G. , Pierre Mathias 
Published: November 2023

AbstractIn the presence of self-interactions, the post-inflationary evolution of the inflaton field is driven into the non-linear regime by the resonant growth of its fluctuations. The once spatially homogeneous coherent inflaton is converted into a collection of inflaton particles with non-vanishing momentum. Fragmentation significantly alters the energy transfer rate to the inflaton's offspring during the reheating epoch. In this work we introduce a formalism to quantify the effect of fragmentation on particle production rates, and determine the evolution of the inflaton and radiation energy densities, including the corresponding reheating temperatures. For an inflaton potential with a quartic minimum, we find that the efficiency of reheating is drastically diminished after backreaction, yet it can lead to temperatures above the big bang nucleosynthesis limit for sufficiently large couplings. In addition, we use a lattice simulation to estimate the spectrum of induced gravitational waves, sourced by the scalar inhomogeneities, and discuss detectability prospects. We find that a Boltzmann approach allows to accurately predict some of the main features of this spectrum.
Cosmological coupling of nonsingular black holes
Authors: Cadoni M. , Sanna A.P. , Pitzalis M. , Banerjee B. , Murgia R. , Hazra N. , Branchesi M. 
Published: November 2023

Abstract
We show that — in the framework of general relativity (GR) — if black holes (BHs) are singularity-free objects, they couple to the large-scale cosmological dynamics. We find that the leading contribution to the resulting growth of the BH mass (M
BH) as a function of the scale factor a stems from the curvature term, yielding M
BH ∝ ak
, with k = 1. We demonstrate that such a linear scaling is universal for spherically-symmetric objects, and it is the only contribution in the case of regular BHs. For nonsingular horizonless compact objects we instead obtain an additional subleading model-dependent term. We conclude that GR nonsingular BHs/horizonless compact objects, although cosmologically coupled, are unlikely to be the source of dark energy.
We test our prediction with astrophysical data by analysing the redshift dependence of the mass growth of supermassive BHs in a sample of elliptical galaxies at redshift z = 0.8–0.9. We also compare our theoretical prediction with higher redshift BH mass measurements obtained with the James Webb Space Telescope (JWST). We find that, while k = 1 is compatible within 1σ with JWST results, the data from elliptical galaxies at z = 0.8–0.9 favour values of k > 1. New samples of BHs covering larger mass and redshift ranges and more precise BH mass measurements are required to settle the issue.
Ultrafast nonlinear absorption in MoTe2 and MoTe2/MoS2 nanocomposite films and its application to all-optical logic gates
Authors: Saifi Anam , Roy Sukhdev 
Published: November 2023

Abstract
We present a detailed theoretical analysis of ultrafast saturable absorption (SA) and reverse SA (RSA) in MoTe2 nano-films with femtosecond (fs) laser pulses at 800 nm. A transition from RSA to SA occurs on increasing the thickness from 30 nm to 80 nm at a constant pump intensity of 141 GW cm−2. On the other hand, a transition from SA to RSA occurs upon increasing the pump intensity in an 80 nm thick MoTe2 nano-film. Theoretical results are in good agreement with reported experimental results. The effect of pump pulse intensity, pulse width, nonlinear absorption coefficient and sample thickness has been studied to optimize the SA ↔ RSA transition. The results for low-power and high contrast all-optical switching in MoTe2 nano-films have been used to design all-optical fs NOT, OR, AND, as well as the universal all-optical NOR and NAND logic gates. The SA behavior of MoTe2/MoS2 nanocomposite films has been used to design all-optical AND and OR logic gates. The nanocomposite films of MoTe2/MoS2 possess a larger nonlinear optical response in comparison to MoTe2 and MoS2 nano-films and, therefore, all-optical logic gates designed using nanocomposite films result in a good switching contrast compared to pure MoTe2 nano-films. Ultrafast operation at relatively low pump intensities demonstrates the applicability of MoTe2 and MoTe2/MoS2 nano-films for ultrafast all-optical information processing.
Study on the Performance of the GRANDProto300 Particle Detector Array by Simulation
Authors: Dai Fu-Lin , Gou Quan-Bu , Huang Xiaoyuan , Guo Yi-Qing 
Published: November 2023

Abstract
The Giant Radio Array for Neutrino Detection (GRAND) is a proposed large-scale observatory designed to detect cosmic rays, gamma-rays, and neutrinos with energies exceeding 100 PeV. The GRANDProto300 experiment is proposed as the early stage of the GRAND project, consisting of a hybrid array of radio antennas and scintillator detectors. The latter, as a mature and traditional detector, is used to cross-check the nature of the candidate events selected from radio observations. In this study, we developed a simulation software called G4GRANDProto300, based on the Geant4 software package, to optimize the spacing of the scintillator detector array and to investigate its effective area. The analysis was conducted at various zenith angles under different detector spacings, including 300, 500, 600, 700, and 900 m. Our results indicate that, for large zenith angles used to search for cosmic-ray in the GRAND project, the optimized effective area is with a detector spacing of 500 m. The G4GRANDProto300 software that we developed could be used to further optimize the layout of the particle detector array in future work.
A scaffold containing zinc oxide for Schwann cell-mediated axon growth
Authors: Stratton Scott , Wang Shuo , Hashemi Sharareh , Pressman Yelena , Nanchanatt James , Oudega Martin , Arinzeh Treena Livingston 
Published: November 2023

Abstract

Objective. Schwann cells (SCs) transplanted in damaged nervous tissue promote axon growth, which may support the recovery of function lost after injury. However, SC transplant-mediated axon growth is often limited and lacks direction. Approach. We have developed a zinc oxide (ZnO) containing fibrous scaffold consisting of aligned fibers of polycaprolactone (PCL) with embedded ZnO nanoparticles as a biodegradable, bifunctional scaffold for promoting and guiding axon growth. This scaffold has bifunctional properties wherein zinc is released providing bioactivity and ZnO has well-known piezoelectric properties where piezoelectric materials generate electrical activity in response to minute deformations. In this study, SC growth, SC-mediated axon extension, and the presence of myelin basic protein (MBP), as an indicator of myelination, were evaluated on the scaffolds containing varying concentrations of ZnO in vitro. SCs and dorsal root ganglion (DRG) neurons were cultured, either alone or in co-culture, on the scaffolds. Main results. Findings demonstrated that scaffolds with 1 wt.% ZnO promoted the greatest SC growth and SC-mediated axon extension. The presence of brain-derived neurotrophic factor (BDNF) was also determined. BDNF increased in co-cultures for all scaffolds as compared to SCs or DRGs cultured alone on all scaffolds. For co-cultures, cells on scaffolds with low levels of ZnO (0.5 wt.% ZnO) had the highest amount of BDNF as compared to cells on higher ZnO-containing scaffolds (1 and 2 wt.%). MBP immunostaining was only detected in co-cultures on PCL control scaffolds (without ZnO). Significance. The results of this study demonstrate the potential of the ZnO-containing scaffolds for SC-mediated axon growth and its potential for use in nervous tissue repair.
Operation and Maintenance System Architecture Design and Practice for Cloud-network Integration
Authors: Zhang Xue , Cheng Xinna , Wang Luman , Wang Wei , Yang Kun , Cao Yaping 
Published: November 2023

Abstract
As cloud-network integration, 5G and 6G, all-optical network, and IP-based services evolve, operational systems of operators face new challenges. The current operational systems suffer from inconsistent technical architecture, insufficient data sharing, lack of decoupling capability, and inadequate intelligence, leading to a high maintenance workload and poor customer experience. This paper analyzes the requirements of intelligent operation systems for operators and innovatively proposes an architecture and design scheme for intelligent operational systems based on cloud-network integration. The paper summarizes the practical experience of the new generation of cloud-network operation and maintenance systems and proposes improvements and outlooks for the development of the next generation of operational management systems.
Error Analysis Due to the Transient Reactance of the Generator in Simulation Verification of Power System Inertia Evaluation
Authors: Liu Mosi , Sun Zhiyuan , Zheng Kun , Liu Jiaji 
Published: November 2023

Abstract
In the simulation validation process of the inertia evaluation model, it is necessary to collect the power and frequency data of a node accurately after the disturbance and use a reasonable data processing algorithm to reduce the error. Given that the power and frequency characteristics of the generator outlet side bus are similar to those of the generator, some research work selects the generator outlet side bus as the test object of the power and frequency data acquisition device. However, the generator outlet side bus inertia and the theoretical generator inertia are not equivalent because of the generator transient reactance. In this paper, we first establish a 3-machine 6-node inertia simulation model using a constant power load connected via a circuit breaker to provide system unbalanced power and then simulate the generator outlet side bus inertia under two conditions of the transient reactance set to zero and non-zero. Through comparison with the theoretical generator inertia, it is concluded that the generator outlet side bus inertia represents the theoretical generator inertia only when the transient reactance is set to zero. This conclusion applies to complex power systems as well.
Dissolved Gas Analysis of Transformer Oil Based on Bayesian Regularized BP Neural Network
Authors: Qi Yu , Jiang Jiyuan , Yu Xiping , Zhang Shi , Cheng Rui 
Published: November 2023

Abstract
The hidden fault diagnosis of the transformer will play an important role in the future smart grid, as the safe operation of the transformer is an important guarantee of power system stability. The attention value method which is being applied to actual substations is introduced, according to a real case that took place in 2010, after detailed experiments, the method proposed in this paper has been verified, that is, a model based on Bayesian regularized BP neural network has been successfully established. The hidden fault in the transformer can be found earlier by DGA based on Bayesian regularized BP network model.
Judgment method of the dynamic threshold value of motor protection at a dynamic load rate
Authors: Zhou Feng , Guan Yunli , Wang Pengfei , Hao Ting 
Published: November 2023

Abstract
To address the shortcomings of traditional motor thermal protection, which uses the motor’s temperature or temperature rise threshold operating at full load as the basis for the judgment method, a dynamic threshold judgment method based on a study of the motor’s temperature rise characteristics under a dynamic load rate is proposed. Taking a forced air-cooled, three-phase asynchronous motor with 11 kW power as the research object, a 2D/3D motor model under steady-state conditions is established. The loss distribution of asynchronous motors at different load rates is obtained through electromagnetic field simulation calculations. The finite element method is used to simulate and calculate the motor’s temperature field. Taking ambient temperature and load factors into account, the study takes place from the perspective of motor temperature rise in order to acquire the law governing the change in motor temperature increase under various working circumstances. A method of converting the temperature and warming between the motor’s stator, winding, and rotor is proposed. A dynamic threshold judgment system for accurate warning of overheating problems in motors under any load rate is set up so that the thermal protection of motors can accurately be judged under variable load conditions, which offers a crucial theoretical foundation for the design of intelligent motor temperature rise prediction systems. It contributes to a methodological underpinning for the diagnosis and early warning of thermal health in smart motor systems.
Research on High Power Charging Power Supply Based on LLC and LCL-T Resonant Converter
Authors: Wang Shuai , Fang Wei , Li Runze 
Published: November 2023

Abstract
Electric vehicle charging uses constant current followed by a constant voltage charging method, the MOSFETs operate over a large range of frequencies, which will cause trouble to the design of magnetic components, and the magnetizing current is circulated in the resonant tank, which will lead to more core loss. In this paper, a new resonant converter based on inductive multiplexing of LLC and LCL-T is studied to reduce the switching frequency range by using the inherent output characteristics of the converter. During the constant voltage charging phase, the LLC resonant tank operates as a constant voltage source to provide a stable charging voltage. In the LLC resonant tank, the resonant inductor is equated to the secondary side, and this resonant inductor is reused to develop the LCL-T resonant tank for the constant current charging stage, which is equivalent to a constant current source to provide a stable charging current. The resonant converter in this paper has lower losses and higher efficiency compared to other LLC resonant converters. A prototype with 3.3 kW is created to test the theoretical analysis.
Experimental Study on Electromagnetic Interference on control cable from two unbalanced 10 kV Power Cables
Authors: Zhao Yu , Liu Yanping , Chu Shaoxian , Liu Gang , Xie Yue 
Published: November 2023

Abstract
The occurrence of unpredicted and sudden failures in power cables seriously threatened the nearby control cables. Two cases of unbalance in the three-phase current load originate from a high horsepower pump and a sudden power off in an MW pump, resulting in an error signal detected in the adjacent control cable. However, these two cases just occurred once during the plant operation; no more history records can be a reference. In this paper, a typical power cable and control cable structure was constructed, typical accidents in power cables were considered, and electromagnetic interference was considered. The results show that the unbalance of the three-phase load results in a fold increase in interference current. Compared with the two-phase unbalance, the one-phase would bring a higher current. In other words, power off in a sudden situation brought a higher current than three-phase unbalance, especially a faster drop in current load. Finally, more attention should be given to the power cable operation, including unbalance in the power cable and an urgent power off.
Locating Sources of Sub-Synchronous Oscillations in Wind Farms Based on Instantaneous Energy Supply on Port and Bicoherence
Authors: Lu Qiuyu , Zheng Zetian , Liu Ye , Xie Pingping , Yang Yinguo , Zhu Yu 
Published: November 2023

Abstract
The sub-synchronous oscillation (SSO) which occurred in direct-driven wind generators (DDWG) based wind farms became a research hotspot. The SSO excited the shaft torsional vibration of thermal generators and caused trip failures, leading to economic losses and stabilization problems. However, the existing phasor-based oscillation source locating methods cannot be applied to the SSO since the power system quasi-steady-state assumption was not satisfied in the SSO scenarios. Thus, a novel locating method for SSO sources was urgently required. To fill this gap, this paper proposed an improved method for locating nonlinear sub-synchronous oscillation sources based on Energy Supply on Port (ESP) and bicoherence. The ESP was calculated with the instantaneous values of measured voltages and currents at some predefined network interfaces, i.e., the ports. The tendency of the ESP indicated the transient energy injection from a certain subsystem into the rest of the network during a designated period, which can help figure out the oscillation source of the SSO. After oscillation source localization, the nonlinear index and its threshold were proposed by defining the bicoherence coefficient in consideration of the nonlinear oscillation characteristics. According to the power-quality standard and the comparison of the bicoherence with the threshold, the nonlinearity of the oscillation source was examined. The feasibility and effectiveness of the proposed method were proved in the case study which simulated the oscillation scene of the accident in Hami.
Lookup Table Merging for FPGA Technology Mapping
Authors: Tu Junhu , Xu Ning 
Published: November 2023

Abstract
Higher logic density is a key goal pursued by Field Programmable Gate Arrays (FPGA). The higher the logic density is, the lower the cost of the circuit spends, and the shorter the line length of the circuit is, the less power is required. Technology mapping is used to map technology-independent logic gates into a lookup table (LUT) netlist. A big problem with the 6-input LUT used in the FPAG at the present stage is that the utilization rate of the lookup table is insufficient. Modern FPGA architectures have good support for dual-output LUTs. We can merge two small LUTs into a new dual-output LUT, if the total number of inputs of the two small LUTs is not greater than the input limit specified by the LUT, thereby reducing the area, that is, reducing the number of LUTs. In this paper, the dual-output LUTs are merged in the technology mapping stage, and a new method of merging single-output LUTs into dual-output LUTs is proposed. The experimental results show that the algorithm used in this paper has an average reduction of 10.21 % in the number of LUTs without worsening delay.
Fast Ground Segmentation Method Based on Lidar Point Cloud
Authors: Niu Guochen , Tian Yibo , Sun Xiangyu , Han Zhiheng 
Published: November 2023

Abstract
A ground segmentation method based on line fitting of adjacent points was proposed for accurate and real-time segmentation of non-ground information from the LiDAR point cloud. Firstly, the point cloud is divided into several ordered regions depending upon the distribution characteristics of the LiDAR’s concentric circles. Then, the Euclidean distance between adjacent points and the spatial geometric features of ground point clouds is used for adaptive line fitting of ground point clouds. Finally, the ground points are divided by the distance between the adjacent points and the outer points of the line. The experiment was conducted using a real car and the KITTI open-source dataset. The approach presented in this research substantially enhances the accuracy of ground segmentation while ensuring real-time performance.