bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testing an online screening tool for epilepsy surgery evaluation
Authors: Madeira Bianca Cecchele , Schönwald Suzana Veiga , Winckler Pablo Brea , Martin Kelin Cristine , Torres Carolina Machado , Bizzi Jorge Wladimir Junqueira , Bianchin Marino Muxfeldt 
Published: November 2024

Abstract
Background Epilepsy surgery is recognized for its effectiveness in controlling seizures in a significant number of patients with drug-resistant epilepsy. Despite this, there remains a notable deficiency in referring these patients for video-electroencephalogram (EEG) monitoring and surgical evaluation. Addressing this gap, the Canadian Appropriateness of Epilepsy Surgery (CASES), an online tool for epilepsy surgery evaluation (www.epilepsycases.com), was developed to aid physicians in the referral process of patients with refractory epilepsy to surgical assessments.
Objective The present study aimed to evaluate the utility of CASES in identifying candidates for epilepsy surgery, thereby facilitating clinical decision-making for patients with drug-resistant epilepsy.
Methods A cross-sectional analysis was conducted using the CASES platform to assess surgical candidacy among individuals with epilepsy. Participants were selected among those receiving care at the Epilepsy Clinic of the Neurology Service, Hospital de Clínicas de Porto Alegre, Brazil, over a 3-month period. The study cohort included 211 patients. Data were systematically extracted from patient medical records or collected during clinical appointments.
Results Of the evaluated cohort, 59.6% were identified as potential candidates for video-EEG monitoring and subsequent surgical evaluation. Factors significantly associated with recommendations for video-EEG and surgical assessment included seizure frequency, the number of antiseizure medications (ASMs) trialed, and the occurrence of drug-related adverse effects.
Conclusion The CASES showed significant potential in guiding recommendations for video-EEG monitoring and facilitating referrals for epilepsy surgery. This tool may not only enhance patient treatments and outcomes but also contribute to cost savings in epilepsy management in both the short and long term.
Development of soft x-ray absorption spectroscopy technique with simultaneous measurement in electron- and fluorescence-yield modes from high vacuum to ambient pressure for observation of surface adsorbed species
Authors: Shibuya Kohei , Amemiya Kenta 
Published: November 2024

To understand the reactions of heterogeneous catalysts at the solid–gas interface under actual reaction conditions, it is important to develop a method to observe the surface-adsorbed species during the reaction, including the changes before and after the adsorption of light elements involved in the surface reaction. We developed a soft x-ray absorption spectroscopy (XAS) technique that allows simultaneous measurements in the electron- and fluorescence-yield modes in the pressure range of 10−4–1 × 105 Pa. In the developed system, the reaction gas near the sample surface is separated from the beamline vacuum by a Si3N4 window and confined to a small area to suppress x-ray absorption by the gas. The electron-yield spectra were obtained by measuring the sample current while applying a bias potential to the Si3N4 window. XAS measurements were performed from high vacuum to ambient pressure by setting the bias potential to 600 and 39 V below and above 100 Pa, respectively. An anatase TiO2 nanoparticle-deposited film was prepared by spin coating, and soft XAS was performed to observe the photocatalytic oxidative decomposition reactions of isopropanol in the presence of water and oxygen. The obtained O K-edge spectra showed that it is possible to observe adsorbed oxygen on solid oxides even under ambient pressure conditions containing 0.1% of oxygen gas.
Prescribing pre-exposure prophylaxis for HIV prevention: a cross-sectional survey of general practitioners in Australia
Authors: Wu Jason , Fairley Christopher K. , Grace Daniel , Bavinton Benjamin R. , Fraser Doug , Chan Curtis , Chow Eric P. F. , Ong Jason J. 
Published: November 2024

Background Pre-exposure prophylaxis (PrEP) is a safe and effective medication for preventing HIV acquisition. We examined Australian general practitioners’ (GP) knowledge of PrEP efficacy, characteristics associated with ever prescribing PrEP and barriers to prescribing. Methods We conducted an online cross-sectional survey of GPs working in Australia between April and October 2022. We performed univariable and multivariable logistic regression analyses to identify factors associated with: (1) the belief that PrEP was at least 80% efficacious; and (2) ever prescribed PrEP. We asked participants to rate the extent to which barriers affected their prescribing of PrEP. Results A total of 407 participants with a median age of 38 years (interquartile range 33–44) were included in the study. Half of the participants (50%, 205/407) identified how to correctly take PrEP, 63% (258/407) had ever prescribed PrEP and 45% (184/407) felt confident with prescribing PrEP. Ever prescribing PrEP was associated with younger age (AOR 0.97, 95% CI: 0.94–0.99), extra training in sexual health (AOR 2.57, 95% CI: 1.54–4.29) and being a S100 Prescriber (OR 2.95, 95% CI: 1.47–5.90). The main barriers to prescribing PrEP included: ‘Difficulty identifying clients who require PrEP/relying on clients to ask for PrEP’ (76%, 310/407), ‘Lack of knowledge about PrEP’ (70%, 286/407) and ‘Lack of time’ (69%, 281/407). Conclusion Less than half of our GP respondents were confident in prescribing PrEP, and most had difficulty identifying who would require PrEP. Specific training on PrEP, which focuses on PrEP knowledge, identifying suitable clients and making it time efficient, is recommended, with GPs being remunerated for their time.
Exploring the Chinese AWCF Platform’s value in improving CSL learners’ writing performance in a ChatGPT
context
Authors: Yang Yicheng , Tian Ye 
Published: November 2024

Abstract
This study evaluates the efficacy of Chinese Automated Writing Correction Feedback (AWCF) platforms in enhancing
writing performance among Chinese as a Second Language (CSL) learners against the backdrop of emerging generative AI tools like
ChatGPT. Employing data from an intermediate CSL course at an Ivy League university, the paper scrutinizes selected Chinese AWCF
platforms, such as Meta XiezuoCat, for their accuracy, effectiveness, and instructional potential. The analysis juxtaposes AWCF
feedback withChatGPT responses and instructor assessments, revealing both the strengths and limitations of these platforms. The
findings indicate that existing Chinese AWCF platforms exhibit noticeable limitations in CFL writing support but hold considerable
potential for future development. Despite limitations in current corpus and accuracy compared with Generative AI such as ChatGPT,
AWCF’s one-stop service model in error correction significantly reduces the cost of prompt engineering, while its feature of
allowing “noticing” can help enhance students’ metalinguistic awareness. This finding also highlights the critical need for AWCF
platforms to improve their utility by incorporating expansive and authentic CSL learner data.
Four-body semileptonic decays B → D*Pℓ+νℓ with SU(3) flavor symmetry
Authors: Wan Meng-Yuan , Xu Yuan-Guo , Jia Qi-Lin , Liu Yue-Xin , Zhang Yi-Jie 
Published: November 2024

Abstract
We present a complete study of the B → D*Pℓ
+
ν

ℓ
(ℓ = e, μ, τ) decays with the non-resonant, the charmed axial vector resonant, and the charmed tensor resonant contributions using the SU(3) flavor symmetry. The relevant amplitude relations between the different decay modes are obtained by the SU(3) flavor symmetry. We then predict non-measured branching ratios of the B → D*Pℓ
+
ν

ℓ
decays with the non-resonant and the charmed resonant contributions by using the present experimental data of the

B
→
D
*
P
ℓ

′

+

ν

ℓ
′

(
ℓ
′
=
e
,
μ
)

decays within 2σ errors. We have found that B
0,+ → D*ηℓ
+
ν

ℓ
,

B

0
,
+

→
D
*
η
′

ℓ

+

ν

ℓ

,

B

s

0

→

D

s

*

η

ℓ

+

ν

ℓ

,

B

s

0

→

D

s

*

η
′

ℓ

+

ν

ℓ

, and

B

0
,
+

→

D

s

*

K

ℓ

+

ν

ℓ

decays only receive non-resonant contributions. Decays

B

s

0

→

D

s

*
−

π

0

ℓ

+

ν

ℓ

only receive

D

s
1

′

resonant contributions. Other decays receive all three kinds of contributions, and these contributions are important in most decays.
Blade tip clearance measurement method based on blade tip timing without the once per revolution sensor
Authors: Guo Xiaolei , Liu Huoxing , Zhou Zhihong 
Published: November 2024

Abstract
The rotor blade tip clearance (BTC) of an aeroengine is a critical parameter that significantly impacts its performance and safety. Accurately determining dynamic BTC has been a focal point of research in experimental testing. Among the effective measurement methods for dynamic BTC, the laser triangulation method based on blade tip timing (BTT) stands out. However, this method typically relies on an once-per-revolution (OPR) sensor for rotor speed and blade serial number information during measurement, leading to increased installation and maintenance costs as well as additional measurement uncertainties. In response to this challenge, this paper presents two signal processing method that eliminate the need for an OPR sensor. The first method, referred to as ‘none OPR method 1,’ closely follows the measurement principles of the traditional method but employs a skewed dual light probe (SDLP) signal to extract rotational speed information, thus obviating the need for an OPR sensor. The second method, ‘none OPR method 2,’ introduces a novel data processing approach that enables BTC determination without any source of rotor speed information. Both methods utilize dynamic and static BTC matching techniques to identify blade serial numbers and achieve BTC measurement without an OPR sensor on a simulated rotor experimental bench. Comparative analysis with traditional method BTC measurements reveals that, under stable rotor speeds, all methods achieve similar levels of accuracy and repeatability errors within 0.025 mm. However, when dealing with variable speed conditions, the traditional method’s accuracy is significantly affected. None OPR method 1 mitigates the impact of rotor speed changes to some extent, while none OPR method 2 remains unaffected by such changes. Importantly, both none OPR methods demonstrate the capability to measure blade-by- blade tip clearances akin to the traditional method.
A resonance-avoiding modal balancing method for multimodal balancing of high-speed flexible rotors
Authors: Deng Zhenhong , Wu Taihuan , Deng Wangqun , Huang Xin , Wu Dengfeng , Zhang Baoqiang , Luo Huageng 
Published: November 2024

Abstract
Conventional balancing methods for high-speed flexible rotors typically necessitate costly and potentially hazardous balancing tests conducted near their critical speeds. This paper first demonstrates the feasibility of achieving multi-mode balancing using measurements taken below the first critical speed, based on traditional modal balancing methods and rotor modal parameters. However, while theoretically viable, this approach is highly susceptible to measurement noise, complicating its practical implementation. To address this issue, we propose an innovative resonance-avoiding modal balancing (RAMB) method specifically designed for multi-mode balancing. In RAMB, balancing is performed mode by mode in a forward manner, effectively integrating the correction weights of lower modes into the balancing equation. This strategy eliminates the need to operate the rotor at unbalanced critical speeds, enhancing the effectiveness of multi-mode balancing while ensuring measurement safety. The effectiveness of both the conventional method and the RAMB approach is validated through numerical simulations and experimental tests as well. The results show that RAMB significantly enhances the vibration suppression over the entire operating speed range while avoiding resonance measurements and exhibits comparable robustness to noise, confirming the validity and superiority of the proposed balancing method.
HoloLume: point-of-application holographic imaging solution
Authors: Javed Isma , Khalid Ramna , Hassan Muhammad Bilal , Dashtdar Masoomeh , Danailov Miltcho , Zubair Muhammad , Cabrera Humberto , Mehmood Muhammad Qasim 
Published: November 2024

Abstract
Digital holographic imaging has emerged as a label-free, non-invasive, and powerful tool, offering a transformative method for the real-time investigation of morphology, density, and other physical and mechanical features of non-biological and biological samples. The rapid development of these portable, economical imaging systems for clinical/non-clinical setups, especially in remote areas, is of great interest. These systems are early point-of-care applications in diagnosis, research, education, and training. This article reports a general-purpose, fully automated portable imaging tool, ‘HoloLume,’ that offers high-resolution 3D imaging that facilitates the comprehensive understanding and analysis of different media. The proposed microscopic system HoloLume realizes the interferograms generation of samples using common-path optics configuration based on a Fresnel biprism, and its motorized stage precisely scans the whole sample with a step of 3.87 μm for quick identification of the region of interest, which makes sure a time-efficient and robust analysis. The prototype, assembled from off-the-shelf components, costs approximately USD ∼776 and weighs around 3 kg. To validate and verify the performance of the HoloLume microscope, we have conducted experiments on both non-biological and biological samples. Thus, its non-invasive nature, high temporal stability, and economical lightweight prototyping make it an ideal choice for hands-on learning and quantitative analysis, reducing the need for time-consuming sample preparation and conventionally expensive microscopic systems. Furthermore, the adaptability of the proposed imaging tool to remote environments ensures wider accessibility and its easy integration with other imaging modalities enables a compact and cost-effective solution for advanced research and in field measurements.
A novel neural network architecture dedicated for LIBS spectrum analysis with its application to steel pipe classification
Authors: Shentu Lifeng , Peng Di , Xi Jiaqi 
Published: November 2024

Abstract
As a nondestructive rapid composition analysis method, laser-induced breakdown spectroscopy (LIBS) has garnered widespread attention in recent years. However, its application in the steel industry has not achieved an effective breakthrough in its detection accuracy because of the matrix effect. This paper introduces a neural network model for LIBS spectral line analysis, which can automatically construct the features and analyze the correlation between them. Notably, this model has been applied to the steel sample classification of seamless steel pipes with good results.
Investigation on the variations of dynamic characteristics of anchor bolts considering transverse inertia effects under tensile loads
Authors: Sun Bing , Zou Junhui , Peng Chusi , Zhu Cong , Zeng Sheng 
Published: November 2024

Abstract
In the case where tunnel anchor bolts are located in strata with limited surrounding rock boundaries, the response signals of the anchor bolts are affected by the tensile load and the transverse inertia effect, resulting in a decrease in the reliability of the non-destructive testing (NDT) results. To accurately assess the anchorage quality under these disturbances, a vibration energy loss model for anchor bolts after excitation was proposed. NDT experiments and numerical simulation studies were conducted on intact and defective anchor bolts under different conditions, analyzing the variation patterns of structural dynamic characteristics such as the first-order natural frequency, the first-order damping ratio, and the vibration energy loss under the influence of tensile load and transverse inertia effect. The results show that during the gradual increase of the tensile load, the first-order natural frequency first increases and then decreases; the first-order damping ratio exhibits an overall trend of an initial slight decline, followed by an increase, and then a subsequent decrease; and the rate of energy loss initially decreases and then increases. The presence of anchorage defects leads to a reduction in the first-order natural frequency, the first-order damping ratio, and the energy loss of the anchor bolt. As the transverse inertia effect intensifies, the first-order natural frequency initially increases and then decreases, the first-order damping ratio decreases, and the energy loss initially decreases slightly before increasing. The numerical simulation verifies the applicability of the theoretical model and explores the influence of defect location on energy loss. The results indicate that the closer the defect location is to the free end, the less the vibration energy loss of the anchor bolt.
Resistance standards with very small calculable AC-DC difference at frequencies up to 2 MHz for the calibration of precision LCR meters
Authors: Schurr Jürgen , Judaschke Rolf H , Awan Shakil A 
Published: November 2024

Abstract
We have developed novel impedance standards based on thin-film surface mount device (SMD) resistors. Due to the small dimensions of such resistors, the frequency dependence is very small and can be calculated from quantities that can be either measured or numerically calculated. For nominal resistance values in the 10 kΩ range, as for our application, the DC and AC properties of a single thin-film SMD resistor are not sufficient but can be greatly improved by connecting several thin-film SMD resistors in series. Then the calculated frequency dependence at frequencies up to 2 MHz amounts to only a few parts per million of the DC value, which is about four orders of magnitude smaller than for all conventional calculable AC-DC resistors with a similar nominal DC value. A precision inductance-capacitance-resistance (LCR) meter for frequencies up to 2 MHz, which has a resolution and a reproducibility of a few parts per million but a systematic uncertainty of up to 3000 parts per million, is used to measure two very different SMD-based resistance standards. This enables the verification of the model calculation as well as the calibration of the LCR meter and the correction of its systematic effects, both with a relative uncertainty of a few parts per million in the whole frequency range. This boost in precision enables new applications in this frequency range such as the verification of conventional calculable resistance standards, the calibration of impedance standards, and future measurements of the quantum Hall resistance.
Meta-learning-based fault diagnosis method for rolling bearings under cross-working conditions
Authors: Xie Zhijie , Zhan Hao , Wang Yu , Zhan Changshu , Wang Zhiwei , Jia Na 
Published: November 2024

Abstract
Accurate prediction of bearing failures is crucial for reducing maintenance costs and enhancing production efficiency in rotating machinery. However, the variable speed conditions and complex working environments encountered during operation pose significant challenges to fault diagnosis. Problems such as domain shift and insufficient sample quantity may occur during fault diagnosis under cross-working conditions, which can decrease the accuracy and generalization of deep learning algorithms. In this paper, we introduce a fault diagnosis framework grounded in meta-learning. Centered on a dual-channel feature fusion network and employing a meta-learning training paradigm, the framework not only performs well in cross-condition fault diagnosis tasks but also demonstrates superior performance in few-shot learning scenarios. Firstly, dual-channel network is used to extract the classification features of different domains, and the features are fused. Next, training is conducted using a meta-learning strategy to acquire prior knowledge, enabling rapid model adaptation to cross-working conditions and addressing the challenge of limited training samples. Finally, two public rolling bearing data sets are used to demonstrate the efficacy of the proposed method across different operational conditions. Prior to this, we selected the appropriate sample length and fusion domain through experimental validation. The proposed method also has good fault diagnosis accuracy in cross-device tasks. The experimental results verify the effective classification capability and robustness of the proposed method. Furthermore, comparisons with other meta-learning approaches confirm the superior performance of our method. The ablation experiments validated the importance and irreplaceability of each component of the proposed method.
Robust-DefReg: a robust coarse to fine non-rigid point cloud registration method based on graph convolutional neural networks
Authors: Monji-Azad Sara , Kinz Marvin , Männel David , Scherl Claudia , Hesser Jürgen 
Published: November 2024

Abstract
Point cloud registration is a critical process in computer vision and measurement science, aimed at determining transformations between corresponding sets of points for accurate spatial alignment. In particular, non-rigid registration involves estimating flexible transformations that map a source point cloud to a target point cloud, even under conditions of stretching, compression, or other complex deformations. This task becomes especially challenging when addressing measurement-specific issues like varying degrees of deformation, noise, and outliers, all of which can impact measurement accuracy and reliability. This paper introduces Robust-DefReg, a novel method for non-rigid point cloud registration that applies graph convolutional networks (GCNNs) within a coarse-to-fine registration framework. This end-to-end pipeline harnesses global feature learning to establish robust correspondences and precise transformations, enabling high accuracy across different deformation scales and noise levels. A key contribution of Robust-DefReg is its demonstrated resilience to various challenges, such as substantial deformations, noise, and outliers, factors often underreported in existing registration literature. In addition, we present SynBench, a comprehensive benchmark dataset specifically designed for evaluating non-rigid point cloud registration in realistic measurement scenarios. Unlike previous datasets, SynBench incorporates a range of challenges, making it a valuable tool for the fair assessment of registration methods in measurement applications. Experimental results on SynBench and additional datasets show that Robust-DefReg consistently outperforms state-of-the-art methods, offering higher registration accuracy and robustness, even with up to 45% outliers. SynBench and the Robust-DefReg source code are publicly accessible for further research and development at https://doi.org/10.11588/data/R9IKCF and https://github.com/m-kinz/Robust-DefReg, respectively.