bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating weakening on hillslopes caused by strong earthquakes
Authors: Xi Chuanjie , Tanyas Hakan , Lombardo Luigi , He Kun , Hu Xiewen , Jibson Randall W. 
Published: February 2024

AbstractThe weakening of hillslopes during strong earthquakes increases landsliding rates in post-seismic periods. However, very few studies have addressed the amount of coseismic reduction in shear strength of hillslope materials. This makes estimation of post-seismic landslide susceptibility challenging. Here we propose a method to quantify the maximum shear-strength reduction expected on seismically disturbed hillslopes. We focus on a subset of the area affected by the 2008 Mw 7.9 Wenchuan, China earthquake. We combine physical and data-driven modeling approaches. First, we back-analyze shear-strength reduction at locations where post-seismic landslides occurred. Second, we regress the estimated shear-strength reduction against peak ground acceleration, local relief, and topographic position index to extrapolate the shear-strength reduction over the entire study area. Our results show a maximum of 60%–75% reduction in near-surface shear strength over a peak ground acceleration range of 0.5–0.9 g. Reduction percentages can be generalized using a data-driven model.
On the Relation Between Leg Motion Rate and Speech Tempo During Submaximal Cycling Exercise
Authors: Weston Heather , Pouw Wim , Fuchs Susanne 
Published: February 2024

Purpose:
This study investigated whether temporal coupling was present between lower limb motion rate and different speech tempi during different exercise intensities. We hypothesized that increased physical workload would increase cycling rate and that this could account for previous findings of increased speech tempo during exercise. We also investigated whether the choice of speech task (read vs. spontaneous speech) affected results.

Method:
Forty-eight women who were ages 18–35 years participated. A within-participant design was used with fixed-order physical workload and counterbalanced speech task conditions. Motion capture and acoustic data were collected during exercise and at rest. Speech tempo was assessed using the amplitude envelope and two derived intrinsic mode functions that approximated syllable-like and footlike oscillations in the speech signal. Analyses were conducted with linear mixed-effects models.

Results:
No direct entrainment between leg cycling rate and speech rate was observed. Leg cycling rate significantly increased from low to moderate workload for both speech tasks. All measures of speech tempo decreased when participants changed from rest to either low or moderate workload.

Conclusions:
Speech tempo does not show temporal coupling with the rate of self-generated leg motion at group level, which highlights the need to investigate potential faster scale momentary coupling. The unexpected finding that speech tempo decreases with increased physical workload may be explained by multiple mental and physical factors that are more diverse and individual than anticipated. The implication for real-world contexts is that even light physical activity—functionally equivalent to walking—may impact speech tempo.
ASDNet: A robust involution‐based architecture for diagnosis of autism spectrum disorder utilising eye‐tracking technology
Authors: Mumenin Nasirul , Yousuf Mohammad Abu , Nashiry Md Asif , Azad A. K. M. , Alyami Salem A. , Lio' Pietro , Moni Mohammad Ali 
Published: February 2024

AbstractAutism Spectrum Disorder (ASD) is a chronic condition characterised by impairments in social interaction and communication. Early detection of ASD is desired, and there exists a demand for the development of diagnostic aids to facilitate this. A lightweight Involutional Neural Network (INN) architecture has been developed to diagnose ASD. The model follows a simpler architectural design and has less number of parameters than the state‐of‐the‐art (SOTA) image classification models, requiring lower computational resources. The proposed model is trained to detect ASD from eye‐tracking scanpath (SP), heatmap (HM), and fixation map (FM) images. Monte Carlo Dropout has been applied to the model to perform an uncertainty analysis and ensure the effectiveness of the output provided by the proposed INN model. The model has been trained and evaluated using two publicly accessible datasets. From the experiment, it is seen that the model has achieved 98.12% accuracy, 96.83% accuracy, and 97.61% accuracy on SP, FM, and HM, respectively, which outperforms the current SOTA image classification models and other existing works conducted on this topic.
Research on future trends of electricity consumption based on conditional generative adversarial network considering dual‐carbon target
Authors: Li Jinghua , Qin Zibei , Luo Yichen , Chen Jianfeng , Wei Shanyang 
Published: February 2024

AbstractThe emergence of novel factors, such as the energy Internet and electricity supply‐side reform within the context of the dual‐carbon target (carbon peaking and carbon neutrality), has heightened the uncertainty surrounding electricity consumption (EC). This increased uncertainty poses challenges for accurate long‐term EC forecasting. Due to the complexities of feature extraction and the absence of labelled data, conventional supervised learning‐based forecasting methods, such as support vector machines (SVM) and long short‐term memory networks (LSTM), struggle to predict EC with precision in situations of heightened uncertainty resulting from the interplay of multiple factors. To address this issue, a novel method based on a conditional generative adversarial network (CGAN) is proposed. Initially, the dominant factors influencing future electricity consumption trends through grey correlation degree analysis and the K‐L information method are identified. Subsequently, an EC forecast model is introduced based on CGAN, adept at capturing essential factors and the non‐linear relationship between EC and exogenous factors. This approach effectively models the uncertainty of EC, accurately approximating the true distribution with only a small dataset. Finally, the proposed method by forecasting China's EC from 2015 to 2020 is validated. The results demonstrate that the authors’ method achieves lower root mean square error and mean absolute percentage error values, specifically 0.177% and 2.39%, respectively, outperforming established advanced methods such as SVM and LSTM.
L’Orthodontie Interceptive expliquée aux patients par les Intelligences Artificielles (IA) conversationnelles
Authors: Petitpas Laurent , Béry Alain 
Published: February 2024

Les Intelligences Artificielles Conversationnelles (IAC) viennent de faire leur apparition (moins d’un an !) dans le monde de la technologie numérique en bousculant ainsi beaucoup de mode de fonctionnement dans notre société. Beaucoup d’informations vont être fournies aux patients par ces logiciels à travers une nouvelle perspective interactive grâce aux IAC, notamment ChatGPT dont tout le monde parle. Dans notre monde numérique, les IAC faciliteront la communication entre professionnels de la santé dentaire, parents et enfants, en fournissant des informations claires et en répondant aux questions de manière interactive comme lors d’une conversation. En orthodontie, une approche précoce de correction des problèmes orthodontiques chez les enfants vise à détecter et traiter les anomalies de croissance dentaire avant qu’elles ne deviennent complexes. Les patients, de plus en plus avides d’informations, utiliseront de manières importantes les IAC pour leur permettre de se faire expliquer les bases de l’Orthodontie Interceptive, comprendre les avantages d’une intervention précoce, et surfer dans une expérience où la technologie et la santé bucco-dentaire se rejoignent pour créer des sourires sains et épanouis dès le plus jeune âge. Ces outils numériques, qui peuvent parfois en effrayer certains, permettront pour d'autres, de rendre l’expérience orthodontique plus accessible, interactive et compréhensible que jamais pour les patients.
Cet article tente de vérifier les réponses fournies par plusieurs IAC à des questions que nous leur avons posé.
Behandlungsansätze mit Kompressionstherapie beim Lipödem
Authors: Miller Anya , Krahl Susanne , Möckel Luis 
Published: February 2024

Zusammenfassung
Hintergrund Die Kompressionstherapie wird als Therapieoption zur Behandlung des Lipödems empfohlen. Aus diesem Grund war das Ziel dieser Metaanalyse, den Effekt von Behandlungsansätzen mit Kompressionstherapie auf Schmerzen bei Patientinnen mit Lipödem zu untersuchen.
Methoden Es wurden eine systematische Literaturrecherche sowie eine Single-Arm- und eine vergleichende Metaanalyse durchgeführt.
Ergebnisse Insgesamt wurden 3 Studien in diese Metaanalyse eingeschlossen. Die Single-Arm-Metaanalyse zeigte eine signifikante Reduktion der Schmerzen durch ein multimodales Behandlungskonzept mit Kompressionstherapie. Des Weiteren wurde durch einen Behandlungsansatz mit Kompressionstherapie eine signifikant stärkere Reduktion der Schmerzen (Mean Difference: -2,15; 95%-KI -3,06–-1,24; p≤0,01; I2
=0,00%) im Vergleich zu einem Kompressionstherapie-freien Behandlungsansatz ermittelt.
Schlussfolgerung Ein multimodaler Behandlungsansatz mit Kompressionstherapie hat bei Patientinnen mit Lipödem einen positiven Effekt auf die Schmerzen. Weitere Studien zur Kompressionstherapie bei der Behandlung des Lipödems, insbesondere mit mehr Patientinnen, wären sinnvoll, um die hier gefundenen Ergebnisse zu bestätigen.
Early humans out of Africa had only base-initial numerals
Authors: Her One-Soon , Liang Yung-Ping , Chan Eugene , Hsu Hung-Hsin , Hsu Anthony Chi-Pin , Allassonnière-Tang Marc 
Published: February 2024

AbstractThe vast majority of languages have numerals involving multiplication. Cross-linguistically, a numeral that involves a multiplier and a numeral base can be base-final, e.g., three hundred [three × hundred] in English, or base-initial, e.g., ikie ita [hundred × three] in Ibibio (Niger-Congo). A worldwide survey of 4099 languages reveals that 39% of the languages are base-initial, 48% are base-final, 4% use both orders, and 8% are without numeral bases. As the first step towards explaining this diversity and worldwide distribution, we offer convergent evidence to support the hypothesis that the languages of early humans in Africa had base-initial numerals. From a linguistic point of view, linearization is necessary for the verbal expression of multiplicative numerals. Between the two linear orders of multiplication, we demonstrate that the base-initial order has an initial advantage in communicative efficiency. We also offer typological evidence from the dominant head-initial word order in present-day numeral systems and nominal phrases in African languages. Finally, results from a phylogenetic analysis based on a global tree of human languages show that the base-initial order is more stable diachronically and more likely to be at the root of the reconstructed tree of languages in Africa between 100 and 150 thousand years ago. The dominant base-final order in non-African languages of modernity is thus likely to be a development after the Out-of-Africa exodus between 60 and 80 thousand years ago.
Mobile money, medical cost anxiety and welfare of individuals within the reproductive age in Malaysia
Authors: Osabohien Romanus , Jaaffar Amar Hisham , Akpa Armand Fréjuis , Jakovljevic Mihajlo 
Published: February 2024

AbstractThis study examines the association between mobile money, medical cost anxiety, and the welfare of households in Malaysia. The study made use of the data sourced from the Global financial survey conducted by the World Bank. The study applied the logit model and test of mean difference, probit and instrumental variable regressions to check for robustness. Findings show that mobile money has a positive and significant impact on the welfare of households in Malaysia. Mobile money enables households to access financial services easily and conveniently, which in turn leads to better financial management and increased household welfare. The study also finds that medical cost anxiety hurts household welfare. Households that are more anxious about medical costs tend to experience lower levels of welfare. The results of this study have significant implications for policymakers and financial service providers in Malaysia. To improve the welfare of households, policymakers should promote mobile money use and encourage financial inclusion. Financial service providers should also develop products and services tailored to the needs of households, especially those that are more vulnerable to medical cost anxiety. Additionally, policymakers should consider implementing policies that address rising healthcare costs and alleviate medical cost anxiety among households in Malaysia.
Adelung’s English-German dictionary (1783, 1796)
Authors: McLelland Nicola 
Published: February 2024

Summary
This article examines Johann Christoph Adelung’s English–German dictionary (1783, 1796). The dictionary deserves
our attention because it was undertaken by the author of a ground–breaking German dictionary (Adelung 1774–86, 2
1793–1801), working from Samuel Johnson’s
equally epoch–making English dictionary (1755, 41773). Yet the work has thus far been almost entirely overlooked. This
article seeks to address that research gap. It reveals the very significant differences between the first dictionary volume (1783)
and the second (1796), and argues that the second volume – for which a dictionary by Johannes Ebers is a major source (Ebers 1793–1794) – is almost certainly not the work of Adelung at all. Close analysis of
the first volume nevertheless reveals the care that Adelung took with it, drawing not just on Johnson, but also on his own German
dictionary and other sources, resulting in a dictionary that was innovative in English–German lexicography. I also show that
Adelung’s experience of preparing the English–German dictionary informed his revision of his better–known German dictionary
(1793–1801) in at least two concrete ways: his treatment of pronunciation and his use of metalinguistic labelling.
Fiducial marker and blob detection-based motion compensation algorithm for Thermoelastic Stress Analysis measurements
Authors: Tribbiani Giulio , Zara Tommaso , Truffarelli Tiberio , Capponi Lorenzo 
Published: February 2024

Abstract
Non-contact techniques for measuring stress and strain on structures offer advantages including preservation of structural integrity, remote and continuous monitoring, full-field measurement capability, non-destructive testing, and adaptability to various materials. Among them, thermoelastic stress analysis is one of the most established non-contact techniques to measures stress distributions in structures by analysing temperature-induced deformations. This research proposes a methodology for the compensation of the edge effect, a undesirable phenomenon resulting from rigid displacements in the analysed structure when using thermoelasticity approach. These displacements give rise to virtual stress distributions along the sample’s edges. For this purpose, a fiducial marker was used to track rigid displacements in thermal images, that were then processed using a blob detection algorithm, for compensating for edge effects under different loading conditions. The algorithm was capable of measuring the displacement of a sample at different frequencies (5-25Hz) and distances from the target (300-600 mm), with the lowest uncertainty of 0.2 mm. The impact of compensation was found The impact of the compensation was found to be significant, especially at frequencies lower than 10 Hz, where the displacement was the highest.
Rapid prototyping of FBG-based optical sensors for vibration analysis of mechatronic systems
Authors: Dalla Vedova Matteo D L , Quattrocchi Gaetano , Aimasso Alessandro , Marotta Antonio , Ferro Carlo G , Maggiore Paolo 
Published: February 2024

Abstract
The detection and study of vibrations play a fundamental role in the monitoring and safety of engineering systems. This is especially true in the aerospace sector, where the operating environment is often hostile, and the constraints on weights and dimensions are very tight. For these reasons, the research and application of sensors based on optical signal transmission are becoming increasingly important. The opportunity to implement distributed measurements along a single optical fiber, the small size and weight, and the high resistance to electromagnetic interference make this technology an ideal candidate for the development of next-generation aerial platforms. In this paper, the authors focus on designing and developing a novel sensor that employs Fiber Bragg Grating (FBG) for vibration detection. Their primary aim is to explore the potential and constraints of this technology and build an initial prototype for testing purposes. Additionally, the project enabled the authors to experiment with rapid prototyping techniques that rely on 3D printing and additive manufacturing. The impact of various design choices, such as materials, geometry, and manufacturing, on the demonstrator sensitivity was explored by analysing the problem mathematically. A Matlab script was developed to estimate dimensions, weights, and dynamic performances, and modelling FEM was used for validation.
Enhanced Global Convolution Networks for Defect Detection in Full Wavefield Imaging
Authors: Donati G , Zonzini F , De Marchi L 
Published: February 2024

Abstract
Non-Destructive Evaluation (NDE) techniques based on ultrasonic guided waves can provide relevant information about the health status of an inspected structure. The analysis of the wavefields recorded through Scanning Laser Doppler Vibrometers (SLDVs) has been used successfully in NDE systems to detect damages in planar isotropic materials, such as interlaminar fractures in composites. However, the high spatial point resolution required to ensure an accurate localization and quantification of defects typically implies a time-consuming acquisition process, which limits the applicability of such approaches. In this work, we exploit the potential of convolutional neural networks (CNNs) to perform segmentation on full wavefield images, obtained by reconstruction from a low resolution grid having a spatial sampling rate below the Nyquist frequency, for the purpose of detecting and localising delaminations in carbon fibre reinforced plastic (CFRP) plates. In particular, we trained an improved version of Global Convolutional Networks (GCN) using a public dataset containing 475 simulated cases of full wavefield Lamb waves propagation in a CFRP plate, generated by an actuator with a carrier frequency of 50 kHz. We adopted channel and spatial attention mechanisms to improve the accuracy of the networks and applied our method on (i) the resulting image given by the root mean square value (RMS) in time for each spatial position and on (ii) the 3-dimensional animation representing the full wavefield propagation. Our networks show the ability to accurately locate target damages with a spatial resolution 8 times higher than the dimension of the adopted sampling grid, achieving an Intersection over Union score equal to 0.78 with a number of scanning point more than 60 times lower than the number of pixels in the output segmentation mask.
Optimizing the Piezoelectric Energy Harvester for the Second Eigen Frequency: Mathematical Modeling and Experimental Investigation of Optimal Beam Shapes
Authors: Skėrys Paulius , Gaidys Rimvydas , Narijauskaitė Birutė , Lupeikienė Audronė 
Published: February 2024

Abstract
This paper is dedicated to the optimization of the beam shape of a piezoelectric energy harvester (PEH) for maximum efficiency at the second eigenfrequency. A combination of mathematical modeling and experimental investigation is used to design and confirm an optimal shape for the cantilever, maximizing strain in the upper layers of the active element. The cantilever beam shape is nonlinear throughout the cross-section of it. The experimental results confirm that the optimal shape beam produces around 70% higher output power than the initial shape. The findings of this study can be used to guide the design of more efficient PEHs for a variety of applications.
Analytical and Experimental Modal Analysis of a Bladed Disk
Authors: Lamine Mekhalfia Mohammed , Procházka Pavel 
Published: February 2024

Abstract
The conference paper discusses a study on the modal behavior of a bladed disk in rotating machinery system using analytical and experimental modal analysis techniques. The process involves measuring natural frequencies under different operating conditions. The modal properties from both approaches are compared, and the effects of rotational speed on the modal behavior of the bladed disk are presented and discussed. The analytical and experimental findings provide a comprehensive understanding of the bladed disk’s modal characteristics under varying rotational speeds. The integration of these different modal analysis techniques enhances the accuracy of the results and enables a more thorough investigation of the bladed disk’s behavior in rotating machinery systems.
Self-mixing Interferometer: Frequency Modulation Noise Dependence on Laser Source
Authors: Cavedo Federico , Esmaili Parisa , Pesatori Alessandro , Norgia Michele 
Published: February 2024

Abstract
The acquisition of frequency modulation in self-mixing interferometry opens the way to a new generation of instruments, with significantly superior performance compared to traditional self-mixing interferometers. In this work, we experimentally confirm the noise limit dependence of this kind of interferometer on the laser source linewidth. The obtained results confirm the theoretical prediction, opening the way for a deeper improvement in sensitivity, by employing narrow-line lasers in this interferometric configuration.
High sensitivity strain measurement on a vibrating saxophone reed using stroboscopic digital image
Authors: Ukshini E , Livens P , Dirckx J 
Published: February 2024

Abstract
In this paper, we present a study of different optical textures and techniques to apply very fine, non-specular reflecting random speckle texture, which makes it possible to measure surface strains with a sensitivity better than 0.01 % strain on a vibrating object. The method is based on triggered stroboscopic digital image correlation, which is able to obtain time-resolved full-field measurements of displacement and strain fields. The method is demonstrated on reeds of the saxophone to investigate their role in sound production and playability. Such high-sensitivity measurements allow the detection of subtle effects, such as artefacts on synthetic saxophone reeds caused by the production process.