bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy calibration of the multi-light screen measurement system using array optical signal
Authors: Chen Ding , Deng Chenghua , Yang Ziyu , Shen Lingnan , Han Jinxi 
Published: May 2024

Abstract
The multi-light screen measurement systems must be calibrated before being come into use, and a calibration method using live-fire practice is generally adopted. However, this method has many shortcomings, such as high cost, high risk and poor efficiency. To effectively improve the measurement accuracy of a multi-light screen measurement system, we propose a calibration method based on array optical signal in the paper. According to the measurement principle of the system, the proposed calibration theory is systematically described. The aim is to map the given measurement results in the form of vector into the specified time sequence. Furthermore, we develop a calibration platform whose core components are an arbitrary waveform generator and a tunable laser, and thus it can generate a set of six optical signals with an exact sequential relationship. After receiving the optical signals, some measurement results with errors are obtained by the system. Many calibration operations are performed to obtain the systematic errors, which are the statistical average of the deviation between the given measurement results and those with errors. Finally, we use the proposed calibration method combined with the error tensor and the traditional one to carry out comparison experiments. The results show that the proposed calibration method is superior to the traditional method in terms of comprehensive performance. In addition, the proposed calibration method relative to the traditional ones has some advantages, such as high efficiency, safety and low cost.
A novel robotic-assisted deep learning-enabled computer vision approach for nondestructive diagnosis of railway bolt faults
Authors: Hua Jiang , Wang Zhen , Han Hao , Gao Haolin , Nie Liangyi 
Published: May 2024

Abstract
Railways play a vital role in the inland transportation system worldwide, and abnormal bolt components at the track joints are the main cause of train accidents. The detection and identification of faults in rail bolt components are of considerable research importance. To address this problem, numerous researchers have opted for computer vision-based methods to accomplish the detection and identification of the target, but the existing methods have poor detection performance diminished detection capabilities when the target position changes or some feature information is occluded, and the detection speed and accuracy are far from meeting the requirements of practical applications. Therefore, based on the construction of a dedicated dataset for bolt components, this paper uses the K-means dimensional clustering algorithm to re-cluster the dataset according to the target size characteristics, with the aim of reduce the bounding box regression error. At the same time, a novel loss function iteration method is proposed by incorporating an adaptive optimization algorithm, in order to improve the detection speed and ensure good convergence, and the model complexity is reduced based on deep model pruning. Finally, the optimized detection model is implemented on the robotic-assisted platform for testing, and the experimental results verify that the algorithm can quickly and accurately complete various fault diagnosis tasks of bolt components in practical applications. The main achievements of this study include the construction of a large-scale image dataset for novel rail bolt components and propelled the application of deep learning methods in vision-based rail bolt fault diagnosis.
Strategies to improve the ionic conductivity of quasi-solid-state electrolytes based on metal-organic frameworks
Authors: Chen Chuan , Luo Xiangyi 
Published: May 2024

Abstract
The low ionic conductivity of quasi-solid-state electrolytes (QSSEs) at ambient temperature is a barrier to the development of solid-state batteries (SSBs). Conversely, metal-organic frameworks (MOFs) with porous structure and metal sites show great potential for the fabrication of QSSEs. Numerous studies have proven that the structure and functional groups of MOFs could significantly impact the ionic conductivity of QSSEs based on MOFs (MOFs-QSSEs). This review introduces the transport mechanism of lithium ions in various MOFs-QSSEs, and then analyses how to construct an effective and consistent lithium ions pathway from the perspective of MOFs modification. It is shown that the ion conductivity could be enhanced by modifying the morphology and functional groups, as well as applying amorphous MOFs. Lastly, some issues and future perspectives for MOFs-QSSEs are examined. The primary objective of this review is to enhance the comprehension of the mechanisms and performance optimization methods of MOFs-QSSEs. Consequently, this would guide the design and synthesis of QSSEs with high ionic conductivity, and ultimately enhance the performance of commercial SSBs.
The evolution problem associated with the fractional first eigenvalue
Authors: Barrios Begoña , Del Pezzo Leandro , Quaas Alexander , Rossi Julio D 
Published: May 2024

Abstract
In this paper we study the evolution problem associated with the first fractional eigenvalue. We prove that the Dirichlet problem with homogeneous boundary condition is well posed for this operator in the framework of viscosity solutions (the problem has existence and uniqueness of a solution and a comparison principle holds). In addition, we show that solutions decay to zero exponentially fast as

t
→
∞

with a bound that is given by the first eigenvalue for this problem that we also study.
Cerenkov free micro-dosimetry in small-field radiation therapy technique
Authors: Debnath Sree Bash Chandra , Tonneau Didier , Fauquet Carole , Tallet Agnes , Darréon Julien 
Published: May 2024

Abstract

Objective. Optical fiber-based scintillating dosimetry is a recent promising technique owing to the miniature size dosimeter and quality measurement in modern radiation therapy treatment. Despite several advantages, the major issue of using scintillating dosimeters is the Cerenkov effect and predominantly requires extra measurement corrections. Therefore, this work highlighted a novel micro-dosimetry technique to ensure Cerenkov-free measurement in radiation therapy treatment protocol by investigating several dosimetric characteristics. Approach. A micro-dosimetry technique was proposed with the performance evaluation of a novel infrared inorganic scintillator detector (IR-ISD). The detector essentially consists of a micro-scintillating head based on IR-emitting micro-clusters with a sensitive volume of 1.5 × 10−6 mm3. The proposed system was evaluated under the 6 MV LINAC beam used in patient treatment. Overall measurements were performed using IBATM water tank phantoms by following TRS-398 protocol for radiotherapy. Cerenkov measurements were performed for different small fields from 0.5 × 0.5 cm2 to 10 × 10 cm2 under LINAC. In addition, several dosimetric parameters such as percentage depth dose (PDD), high lateral resolution beam profiling, dose linearity, dose rate linearity, repeatability, reproducibility, and field output factor were investigated to realize the performance of the novel detector. Main results. This study highlighted a complete removal of the Cerenkov effect using a point-like miniature detector, especially for small field radiation therapy treatment. Measurements demonstrated that IR-ISD has acceptable behavior with dose rate variability (maximum standard deviation ∼0.18%) for the dose rate of 20–1000 cGy s−1. An entire linear response (R
2 = 1) was obtained for the dose delivered within the range of 4–1000 cGy, using a selected field size of 1 × 1 cm2. Perfect repeatability (max 0.06% variation from average) with day-to-day reproducibility (0.10% average variation) was observed. PDD profiles obtained in the water tank present almost identical behavior to the reference dosimeter with a build-up maximum depth dose at 1.5 cm. The small field of 0.5 × 0.5 cm2 profiles have been characterized with a high lateral resolution of 100 µm. Significance. Unlike recent plastic scintillation detector systems, the proposed micro-dosimetry system in this study requires no Cerenkov corrections and showed efficient performance for several dosimetric parameters. Therefore, it is expected that considering the detector correction factors, the IR-ISD system can be a suitable dose measurement tool, such as in small-field dose measurements, high and low gradient dose verification, and, by extension, in microbeam radiation and FLASH radiation therapy.
Exploring the biological basis of CT imaging features in pancreatic neuroendocrine tumors: a two-center study
Authors: Xu Lei , Wu Yan , Shen Xiaoyong , Zhou Luping , Lu Yongkai , Teng Ze , Du Jichen , Ding Mingchao , Han Hongbin , Niu Tianye 
Published: May 2024

Abstract

Objective. Medical imaging offered a non-invasive window to visualize tumors, with radiomics transforming these images into quantitative data for tumor phenotyping. However, the intricate web linking imaging features, clinical endpoints, and tumor biology was mostly uncharted. This study aimed to unravel the connections between CT imaging features and clinical characteristics, including tumor histopathological grading, clinical stage, and endocrine symptoms, alongside immunohistochemical markers of tumor cell growth, such as the Ki-67 index and nuclear mitosis rate. Approach. We conducted a retrospective analysis of data from 137 patients with pancreatic neuroendocrine tumors who had undergone contrast-enhanced CT scans across two institutions. Our study focused on three clinical factors: pathological grade, clinical stage, and endocrine symptom status, in addition to two immunohistochemical markers: the Ki-67 index and the rate of nuclear mitosis. We computed both predefined (2D and 3D) and learning-based features (via sparse autoencoder, or SAE) from the scans. To unearth the relationships between imaging features, clinical factors, and immunohistochemical markers, we employed the Spearman rank correlation along with the Benjamini-Hochberg method. Furthermore, we developed and validated radiomics signatures to foresee these clinical factors. Main results. The 3D imaging features showed the strongest relationships with clinical factors and immunohistochemical markers. For the association with pathological grade, the mean absolute value of the correlation coefficient (CC) of 2D, SAE, and 3D features was 0.3318 ± 0.1196, 0.2149 ± 0.0361, and 0.4189 ± 0.0882, respectively. While for the association with Ki-67 index and rate of nuclear mitosis, the 3D features also showed higher correlations, with CC as 0.4053 ± 0.0786 and 0.4061 ± 0.0806. In addition, the 3D feature-based signatures showed optimal performance in clinical factor prediction. Significance. We found relationships between imaging features, clinical factors, and immunohistochemical markers. The 3D features showed higher relationships with clinical factors and immunohistochemical markers.
Design of an ultra-wideband and switchable VO2-based microwave absorber
Authors: Nguyen Thi Quynh Hoa , Phan Huu Lam , Lam Vu Dinh , Kim Jung-Mu 
Published: May 2024

Abstract
We propose a design of an ultra-wideband microwave metamaterial absorber using Vanadium dioxide (VO2) based on a dual-layer structure. The ultra-wideband absorption performance of the proposed structure can switch by using the phase transition of VO2. When the VO2 is in the insulator state, the proposed absorber achieves an ultra-wideband absorption response in the range of 3.7–22.5 GHz with an absorptivity higher than 0.9 and a relative bandwidth of 143.5% at normal incidence, which covers the entire bands from the C to Ku. The designed absorber is polarization insensitive and wide incident angle stable for both transverse electric (TE) and transverse magnetic (TM) modes. Owing to the outstanding merits of absorption performance and frequency-tunable capability, our design structure can be suitable for many promising applications in the microwave range, such as smart radar, camouflage and stealth radome technology.
Orthorhombic metal carbide-borides MeC2B12 (Me = Mg, Ca, Sr) from first principles: structure, stability and mechanical properties
Authors: Bystrenko Oleksiy , Zhang Jingxian , Sun Tianxing , Ruan Hu , Duan Yusen , Zhang Kaiqing , Li Xiaoguang 
Published: May 2024

Abstract
First principle DFT simulations are employed to study structural and mechanical properties of orthorhombic B12-based metal carbide-borides. The simulations predict the existence of Ca- and Sr- based phases with the structure similar to that of experimentally observed earlier compound MgC2B12. Dynamical stability of both phases is demonstrated, and the phase CaC2B12 is found to be thermodynamically stable. According to simulations, Ca- and Sr- based phases have significantly enhanced mechanical characteristics, which suggest their potential application as superhard materials. Calculated shear and Young’s moduli of these phases are nearly 250 and 540 GPa, respectively, and estimated Vickers hardness is 45–55 GPa.
Exploring the electronic, optical, and thermoelectric features of BaXCu3Se4 (X = In, Tl) quaternary chalcogenides: first-principles study
Authors: Mohamed Abdelhay Salah , Gul Banat , Salman Khan Muhammad , Benabdellah Ghlamallah , Ahmad Bashir , Ahmad Hijaz 
Published: May 2024

Abstract
The tunable optical characteristics and superior thermal stability of Indium and Thallium-based quaternary chalcogenides are significant. We studied the intricate relationship between the optoelectronic, and thermoelectric features of notable BaXCu3Se4 (X = In, Tl) quaternary chalcogenides. Both the maximum of the valence band and conduction band coincide at the Γ-point, confirming these materials as direct band gap materials. By substituting Indium for thallium, the calculated band gap decreases from 0.71 eV to 0.53 eV. These anions have a considerable impact and contribute to a decrease in the energy gap via valence electrons. Partially filled d orbitals of copper play an important role in electronic states at the Fermi level. The components of the complex dielectric function, as well as other important optical parameters, are examined and analyzed for the potential usage in optoelectronic devices. The ε
1(ω) becomes negative at 6.32 eV, suggesting that the medium is reflecting all of the incident light. Thallium affects the absorption spectrum because it changes the density of states and electronic transitions. The absorption spectra indicated that the material absorbs in the visible and near-ultraviolet parts of the spectrum, which is fascinating and might have applications in optoelectronics. The investigated materials are appropriate to be used for thermoelectric devices confirmed by their significant and notable thermoelectric properties. Because the Seebeck coefficient is negative, most charge carriers, typically electrons, flow from the higher temperature area to the lower temperature region. At both low and high temperatures, thallium is accountable for BaTlCu3Se4’s higher thermal conductivity than BaInCu3Se4 material.
Kinks and soliton solutions to the coupled Burgers equation by Lie symmetry approach
Authors: Tanwar Dig Vijay , Kumar Raj 
Published: May 2024

Abstract
The current research employs a novel class of invariant solutions to Painlevé integrable coupled Burgers equations. Many mathematical physics domains such as fluid dynamics, traffic flow, nonlinear acoustics, turbulence phenomena, and the interaction of convection and diffusion processes, use this fundamental model. The presented investigations utilize the Lie point symmetry to yield a class of exact solutions unknown in previous findings. Lie point symmetry reduces the number of independent variables in coupled Burgers equations. For the physical visualizations of the solutions, their profiles are analysed. Since arbitrary functions and constants are available in the solutions, the derived solutions have the potential to reveal rich physical structures. We next go over kink waves, multisoliton, line multisoliton and annihilation profiles in detail. We compute conserved vectors to demonstrate the integrability of CBEs. The results demonstrate their novelty, as they diverge completely from previous findings.
Unifying ordinary and null memory
Authors: Heisenberg Lavinia , Xu Guangzi , Zosso Jann 
Published: May 2024

Abstract
Based on a recently proposed reinterpretation of gravitational wave memory that builds up on the definition of gravitational waves pioneered by Isaacson, we provide a unifying framework to derive both ordinary and null memory from a single well-defined equation at leading order in the asymptotic expansion. This allows us to formulate a memory equation that is valid for any unbound asymptotic energy-flux that preserves local Lorentz invariance. Using Horndeski gravity as a concrete example metric theory with an additional potentially massive scalar degree of freedom in the gravitational sector, the general memory formula is put into practice by presenting the first account of the memory correction sourced by the emission of massive field waves. Throughout the work, physical degrees of freedom are identified by constructing manifestly gauge invariant perturbation variables within an SVT decomposition on top of the asymptotic Minkowski background, which will in particular prove useful in future studies of gravitational wave memory within vector tensor theories.
Marine carbon dioxide removal by alkalinization should no longer be overlooked
Authors: Kowalczyk Katarzyna A , Amann Thorben , Strefler Jessica , Vorrath Maria-Elena , Hartmann Jens , De Marco Serena , Renforth Phil , Foteinis Spyros , Kriegler Elmar 
Published: May 2024

Abstract
To achieve the Paris climate target, deep emissions reductions have to be complemented with carbon dioxide removal (CDR). However, a portfolio of CDR options is necessary to reduce risks and potential negative side effects. Despite a large theoretical potential, ocean-based CDR such as ocean alkalinity enhancement (OAE) has been omitted in climate change mitigation scenarios so far. In this study, we provide a techno-economic assessment of large-scale OAE using hydrated lime (‘ocean liming’). We address key uncertainties that determine the overall cost of ocean liming (OL) such as the CO2 uptake efficiency per unit of material, distribution strategies avoiding carbonate precipitation which would compromise efficiency, and technology availability (e.g., solar calciners). We find that at economic costs of 130–295 $/tCO2 net-removed, ocean liming could be a competitive CDR option which could make a significant contribution towards the Paris climate target. As the techno-economic assessment identified no showstoppers, we argue for more research on ecosystem impacts, governance, monitoring, reporting, and verification, and technology development and assessment to determine whether ocean liming and other OAE should be considered as part of a broader CDR portfolio.
Integration of Green and Blue Space, and Their Potential to Support The Mental Health of Tropical Urban Residents
Authors: Defiana I , Salsabila N 
Published: May 2024

Abstract
Problems in metropolis cities such as rising air temperature, traffic density often cause discomfort. It will result in heat stress and impact on mental health. Integration of blue space and green space is needed to reduce these risks. Urban parks, natural or artificial lakes are examples of integration. This paper describes opportunities for integrating blue spaces and green nature urban parks that have the potential to support mental health of tropical urban residents. Method used in this research is observation. Pondok Jagung lake-Tangerang used as a case study. The study was conducted in context of biophilic design. Results of study indicate that the integration of blue space and green space in urban parks has potential to support mental health for residents. Aspects that are considered are design aspects and environmental aspects. Design aspects include proportion of blue and green space, arrangement of colored vegetation, natural or non-natural shading, lighting, activity with water, accessibility, safety, security. Environmental aspects are cleanliness, order of hawkers. All aspect affects multi-sensory such as thermal comfort, visual, audio, olfactory, tactile.
The resilience level of Kampung Sekretaris as urban village in response to urban development in the surrounding area
Authors: Astuti M C M P , Luru M N , Ramadhani A 
Published: May 2024

Abstract
Kampung Sekretaris is an urban village in a rapidly developing urban area. This urban development has transformed the area around Kampung Sekretaris into a commercial zone. Its central location surrounded by commercial area could potentially threaten the existence of the urban village due to its strategic significance. Like many settlements, this urban village faces common issues such as flooding, slums, and inadequate sanitation. Given these challenges, one might expect Kampung Sekretaris to struggle for survival. However, remarkably, Kampung Sekretaris not only persists but also features in the government’s planning program. The aim of this study is to assess the level of resilience displayed by Kampung Sekretaris in response to urban development. The research method employed is quantitative descriptive analysis. Analytical techniques include scoring, which involves the use of Resilience Radar Index indicators, and quantitative descriptive analysis to evaluate Kampung Sekretaris’s resilience to urban development over time. The results indicate that Kampung Sekretaris exhibits a very high level of resilience. The following factors explain the relationship between this result and urban development: (1) Community capacity affects building functions; (2) Social capital influences land use; (3) The interconnectedness is evident through the kampung’s land use as a residential area; (4) The restoration of Kali Sekretaris river serves as disaster preparedness, with no more buildings along its banks; (5) A network of interconnected roads supports disaster evacuation; (6) Arterial roads facilitate the growth of trade; and (7) Changes in the functions of buildings reflect the community’s adaptability in seeking livelihood sources.