bluuebunny/crossref_metadata_2025_split huggingface dataset:
Similarity and quality metrics for MR image-to-image translation
Authors: Dohmen Melanie , Klemens Mark A. , Baltruschat Ivo M. , Truong Tuan , Lenga Matthias 
Published: January 2025

Abstract
Image-to-image translation can create large impact in medical imaging, as images can be synthetically transformed to other modalities, sequence types, higher resolutions or lower noise levels. To ensure patient safety, these methods should be validated by human readers, which requires a considerable amount of time and costs. Quantitative metrics can effectively complement such studies and provide reproducible and objective assessment of synthetic images. If a reference is available, the similarity of MR images is frequently evaluated by SSIM and PSNR metrics, even though these metrics are not or too sensitive regarding specific distortions. When reference images to compare with are not available, non-reference quality metrics can reliably detect specific distortions, such as blurriness. To provide an overview on distortion sensitivity, we quantitatively analyze 11 similarity (reference) and 12 quality (non-reference) metrics for assessing synthetic images. We additionally include a metric on a downstream segmentation task. We investigate the sensitivity regarding 11 kinds of distortions and typical MR artifacts, and analyze the influence of different normalization methods on each metric and distortion. Finally, we derive recommendations for effective usage of the analyzed similarity and quality metrics for evaluation of image-to-image translation models.
Emergence of Fusarium incarnatum and Fusarium avenaceum in wilt affected solanaceous crops of the Northern Himalayas
Authors: Parihar Tasmeen J. , Naik Madeeha , Mehraj Shafqat , Inam ul Haq Syed , Perveen Maqsooda , Malla Ishfaq Ahmed , Abid Taniya , Gul Nadia , Masoodi Khalid Z. 
Published: January 2025

Abstract
The objective of this study was to identify and characterize the fungal pathogens responsible for wilt diseases in solanaceous crops, specifically tomato, brinjal, and chili, in the Kashmir valley. Through both morphological and molecular analyses, including DNA barcoding of the ITS, TEF, RPB1, and RPB2 genomic regions, Fusarium incarnatum and Fusarium avenaceum were identified as the primary causal agents of wilt in tomato and brinjal, and chili, respectively. Pathogenicity tests confirmed the virulence of these pathogens, with typical wilt symptoms observed upon inoculation. This represents the first report of F. incarnatum and F. avenaceum as wilt pathogens in solanaceous crops in India. Phylogenetic analysis further confirmed the genetic variability of these pathogens, revealing their expanding host range. The findings underscore the growing adaptability of these Fusarium species to diverse agricultural systems and highlight the urgent need for targeted disease management strategies to mitigate the significant yield losses caused by Fusarium wilt in solanaceous vegetable production.
Feasibility study of emotion mimicry analysis in human–machine interaction
Authors: Arabian Herag , Alshirbaji Tamer Abdulbaki , Bhave Ashish , Wagner-Hartl Verena , Igel Marcel , Chase J. Geoffrey , Moeller Knut 
Published: January 2025

Abstract
Health apps have increased in popularity as people increasingly follow the advice these apps provide to enhance physical and mental well-being. One key aspect of improving neurosensory health is identifying and expressing emotions. Emotional intelligence is crucial for maintaining and enhancing social interactions. In this context, a preliminary closed-loop feedback system has been developed to help people project specific emotions by altering their facial expressions. This system is part of a research intervention aimed at therapeutic applications for individuals with autism spectrum disorder. The proposed system functions as a digital mirror, initially displaying an animated avatar’s face expressing a predefined emotion. Users are then asked to mimic the avatar’s expression. During this process, a custom emotion recognition model analyzes the user’s facial expressions and provides feedback on the accuracy of their projection. A small experimental study involving 8 participants tested the system for feasibility, with avatars projecting the six basic emotions and a neutral expression. The study results indicated a positive correlation between the projected facial expressions and the emotions identified by participants. Participants effectively recognized the emotions, with 85.40% accuracy demonstrating the system’s potential in enhancing the well-being of individuals. The participants were also able to mimic the given expression effectively with an accuracy of 46.67%. However, a deficiency in the performance of one of the expressions, surprise, was noticed. In the post processing, this issue was addressed and model enhancements were tailored to boost the performance by ~ 30%. This approach shows promise for therapeutic use and emotional skill development. A further wider experimental study is still required to validate the findings of this study and analyze the impact of modifications made.
Extending low‐temperature sintering technique to large‐sized whole‐wafer power semi‐conductor devices
Authors: Yang Chen , Ren Chunpin , Huang Chenxiao , Qiao Qiao , Zhang Hao , Liu Jiapeng , Tian Yanzhong , Pan Jianhong , Li Xiaozhao , Wei Xiaoguang , Liu Lei , Wu Jinpeng , Zou Guisheng , Zeng Rong 
Published: January 2025

AbstractWith the enormous growth in the capacity of electrical equipment, power semi‐conductor devices are developing rapidly towards larger size and higher capacity. To suppress the thermal resistance and achieve efficient heat dissipation, the authors focus on developing a low‐temperature sintering technique for wafer‐level high‐power semi‐conductor devices. In detail, a 6‐inch whole‐wafer device was successfully fabricated by sintering the Si chip and Mo plate using a pulsed laser deposition (PLD)‐based nano‐Ag layer at a sintering temperature of 250°C, revealing edgewise delamination on the sintered layer. The formation mechanism of the destructive delamination was then unveiled, identifying excessive residual thermal stress due to an inappropriate sintering temperature as the ringleader. Furthermore, an optimisation methodology of the sintering temperature for the PLD‐based nano‐Ag layer was proposed, determining an optimal temperature range spanning from 190 to 211°C. Finally, a 6‐inch sintered chip, the largest to date, was successfully fabricated with adequate integrity, robust reliability, and excellent thermal and electrical performance, evidentially verifying the feasibility of the nano‐Ag‐based sintering technique on large‐sized whole‐wafer semi‐conductor devices.
Seismic modelling of subgiant stars: Testing different grid interpolation methods
Authors: Clara M. , Cunha M. S. , Avelino P. P. , Campante T. L. , Deheuvels S. , Reese D. R. 
Published: January 2025

Context. Grid-based modelling techniques have enabled the determination of stellar properties with great precision. The emergence of mixed modes during the subgiant phase, whose frequencies are characterised by a fast evolution with age, can potentially enable a precise determination of stellar properties, a key goal for future missions such as PLATO. However, current modelling techniques often consider grids that lack the resolution to properly account for the fast mode frequency evolution, consequently requiring the use of interpolation algorithms to cover the parameter space in between the grid models when applying model-data comparison methods.
Aims. We aim to reproduce the ℓ = 1 mode frequencies within the accuracy limits associated with the typical observational errors (∼0.1 μHz) through interpolation on a grid of subgiant models.
Methods. With that aim, we used variations of a two-step interpolation algorithm that considered linear and cubic splines interpolation methods and different age proxies (physical age, scaled age, and central density).
Results. The best results were obtained using an algorithm that considers cubic splines interpolation along tracks, linear interpolation across tracks, and central density ρc as the age proxy. This combination yielded, on average, an absolute error of 0.14 μHz but reached maximum absolute errors on the interpolated frequencies of 1.2 μHz for some models, which is an order of magnitude higher than the typical observational errors. Furthermore, we investigated the impact on the accuracy of the interpolation from changes in the physical properties of the stars, showing, in particular, how the addition of core overshoot can significantly affect the interpolation results.
Suivre les bidons jaunes à Toliara, ville du sud-ouest de Madagascar : contribution exploratoire au développement d’une écologie globale des plastiques
Authors: Fache Élodie , Toussaint Marie , Djahere Ahamada Saïd , Manjaka Fereta Rodin , Randrianomenjanahary Angela Fabiola , Veriza Espérant Flaubert 
Published: January 2025

Dans la ville de Toliara dans le sud-ouest de Madagascar, les bidons de 20 litres en plastique jaune sont omniprésents. Intacts ou altérés, ils font l’objet d’usages variés, par divers acteurs, dans divers contextes. S’intéresser à ces bidons sous l’angle de leur biographie permet d’éclairer l’amont des proliférations de macro- et microdéchets plastiques dans l’environnement marin. Cinq principaux moments de la vie d’un bidon jaune, soulevant chacun une problématique sociale principale, sont ici mis en lumière : (1) le bidon comme contenant d’huile alimentaire, reflet de l’économie de marché ; (2) la vente de bidons vides comme petit métier urbain ; (3) le bidon comme contenant d’eau, mais aussi indicateur de la précarité hydrique et outil d’adaptation ; (4) le bidon altéré, objet de multiples réutilisations ; (5) les fragments de bidon, entre déchet sauvage et potentielle matière à recycler.
A three-stage method for reconstructing multiple coefficients in coupled photoacoustic and diffuse optical imaging
Authors: Pan Yinxi , Ren Kui , Tong Shanyin 
Published: January 2025

Abstract
This paper studies inverse problems in quantitative photoacoustic tomography with additional optical current data supplemented from diffuse optical tomography. We propose a three-stage image reconstruction method for the simultaneous recovery of the absorption, diffusion, and Grüneisen coefficients. We demonstrate, through numerical simulations, that: (i) when the Grüneisen coefficient is known, the addition of the optical measurements allows a more accurate reconstruction of the scattering and absorption coefficients; and (ii) when the Grüneisen coefficient is not known, the addition of optical current measurements allows us to reconstruct uniquely the Grüneisen, the scattering and absorption coefficients. Numerical simulations based on synthetic data are presented to demonstrate the effectiveness of the proposed idea.
Broadband solar selective absorbers for efficient photothermal conversions using multilayer structures
Authors: Qi Buxiong , Shou Haijun , Zhang Jingwei , Ma Ziyin , Mei Zhonglei 
Published: January 2025

Abstract
A properly designed broadband solar selective absorber can significantly enhance the efficiency of solar-thermal conversion in practical applications. Although solar selective absorbers have made significant progress in recent years, challenges remain in designing absorbers that are both simple and cost-effective. In this paper, we propose a layered film metamaterial solar absorber for solar-thermal conversion by combining the transfer matrix method with genetic algorithms, which achieves highly efficient solar absorption and low thermal radiation. The absorber attained an absorption of over 90% in the wavelength range of 375.6–2646 nm, with an average solar energy absorption of 95.9%. It is worth noting that the emissivity of the absorber in the mid-infrared band is lower than 6.38%, thus exhibiting efficient spectral selectivity characteristics and minimizing thermal losses. Moreover, the solar absorber achieves a maximum photothermal conversion efficiency of 95.65%. Therefore, the proposed solar absorber holds great potential for low-grade solar energy applications.
NdFeB-YOLOv10: an intelligent detection network for sintered NdFeB raw defects
Authors: Liu Guiyi , Zhang Chao , Zhang Jing , Wu Yangbiao , Ouyang Bing 
Published: January 2025

Abstract
NdFeB magnets, composed of neodymium, iron, and boron, are essential components in various technological applications owing to their superior magnetic properties. In the production of rare earth permanent magnets, surface defects in NdFeB have a significant impact their application, leading to substantial economic losses. Given the high precision and large volume required for NdFeB surface defect detection (32 000 pieces per day), accurately detecting and sorting sintered NdFeB raw materials online is a challenging task. This paper proposes a fast and accurate surface defect detection model for NdFeB, which enables real-time sorting based on defect detection results. The proposed model utilizes an attention module to enhance detection accuracy and enable real-time control. Compared to the original model, the proposed model improves detection accuracy by nearly 6% and achieves a detection speed of 29 FPS, thus meeting real-time performance requirements. This study offers new insights into the application of computer vision in the development of intelligent factories.
Smart-monitoring capabilities of CFRP strips in civil structures based on width-to-length ratio optimization
Authors: Xie Gui-hua , Wang Shu-yang , Xia Hong-yun , Li Shi-quan 
Published: January 2025

Abstract
Structural health monitoring is critical for ensuring the serviceability of in-service structures. However, mainstream monitoring technologies have inherent limitations. In this study, a novel approach was investigated by using carbon fiber reinforced polymer (CFRP) by leveraging its self-sensing properties. Six groups of CFRP smart strips were designed and applied to high ductile concrete (HDC) columns subjected to axial compression, with the view to ascertain the strain and damage sensing capabilities of the CFRP strips having different width-to-length (w/l) ratios and gauge lengths. Experimental results show that the longitudinal and transverse resistances of all CFRP smart strips decrease with increasing compressive strain, attributing to the Poisson effect as well as the change in fiber-to-fiber contact rate within the microstructure. Abrupt changes in resistance occur upon the fracture of the HDC column. The w/l ratio emerges as a crucial factor affecting the sensing performance of the CFRP smart strips. A w/l ratio of smaller than 0.1 corresponds to a small gauge factor (GF) of less than 35, with the maximum coefficient of determination of 0.78829. When the w/l ratio is between 0.1 and 0.125, the GF averagely increases to 224.1, with the average coefficient of determination of 0.96082. For the CFRP smart strips having the same w/l ratio of 0.125, the GF increases from 158.76 to 194.89 as the gauge length rises from 80 mm to 120 mm, while the coefficient of determination slightly decreases from 0.97842 to 0.97381. As the gauge length extends to 160 mm, an enormous improvement from 194.89 to 445.5 in the GF is achieved, accompanied by a reduction in the coefficient of determination from 0.97381 to 0.93459. Compared with the transverse resistance, the longitudinal resistance exhibits the superiority in both the GF and the coefficient of determination. The established model of fiber-to-fiber contact rate theoretically interprets and validates the influence of w/l ratio on the smart properties of the CFRP strips.
Optical trapping of high and low refractive index nanoparticles using pulsed bottle beam
Authors: Thabit F M , Shukri M A 
Published: January 2025

Abstract
Bottle beam can be effectively used for three-dimensional trapping of minute particles with high and low refractive indices. This study introduces pulsed bottle beam composed of

L

G

0

0

and

L

G

p

0

modes with a phase difference of π. We have derived expressions for the optical forces associated with this beam. Our findings demonstrate that the values of p, τ, and n

p
directly influence trap performance, including force magnitude, and the number and area of trapping zones.
Saturation of a quasi-mode parametric instability in an inhomogeneous plasma
Authors: Chen Kunyu , Gao Zhe 
Published: January 2025

Abstract
Quasi-mode parametric instabilities (PI) can result in significant power loss in RF-plasma interactions. However, theoretical difficulties still remain in the analysis of their saturation mechanisms within the framework of the Wenzel-Kramers-Brillouin (WKB) approximation, mainly due to the uncertainty of the impact of an inhomogeneous plasma. In this article, we present a systematic theoretical model under the WKB framework to analyze the saturation process of quasi-mode PIs, using the spatial gradient of the dielectric function to replace the linear dispersion relation to evaluate the effects of plasma inhomogeneity. The amplification factor of a quasi-mode PI in an inhomogeneous plasma with a finite pump profile is calculated using such a method to analyze the dominant mechanism of saturation.
Chitosan-functionalized viscose fiber from post-consumer cotton waste for durable biomedical materials
Authors: Mahmud Rois Uddin , Alam Rubel , Islam Raijul , Hasan Zahid , Moniruzzaman Md , Islam Tarikul 
Published: January 2025

Abstract
This study aims to transform post-consumer textile waste (cellulosic materials) into viscose fiber using a xanthation technique, as well as to develop value-added antibacterial chitosan functionalized viscose (CFV) fiber for biomedical applications (e.g., sanitary pad) through an economic up-cycling wet spinning integrated chitosan coating approach. Surface morphology (SEM), FTIR, XRD, mechanical, thermal, and antibacterial properties (both gram-positive and gram-negative bacteria) were investigated for the CFV fiber. The Degree of Polymerization (DP) of the raw viscose (RV) fiber was approximately 782 ± 35, comparable to the DP of commercial viscose fibers. The surface of CFV fiber is uneven, hazy, and rough, and its average fiber diameter is 15.65 ± 1.75 μm, which is higher than commercial viscose fiber. CFV fibers have stronger strength than RV fibers, as demonstrated by FTIR, the creation of hydrogen bonds with chitosan is the fundamental reason for the strength.. Overall, antibacterial effects (zone of inhibition) against E. c
oli, S.Typhi, and S.aureus are 17 ± 1.2 mm, 13 ± 0.8 mm, and 10 ± 1.1 mm, respectively. However, the development process and results confirm the successful formation of CFV fiber and highlight its potential for sustainable biomedical applications compared to other alternatives.
Self-guided tomography of time-frequency qudits
Authors: Serino Laura , Rambach Markus , Brecht Benjamin , Romero Jacquiline , Silberhorn Christine 
Published: January 2025

Abstract
High-dimensional time-frequency encodings have the potential to significantly advance quantum information science; however, practical applications require precise knowledge of the encoded quantum states, which becomes increasingly challenging for larger Hilbert spaces. Self-guided tomography (SGT) has emerged as a practical and scalable technique for this purpose in the spatial domain. Here, we apply SGT to estimate time-frequency states using a multi-output quantum pulse gate. We achieve fidelities of more than 99% for 3- and 5-dimensional states without the need for calibration or post-processing. We demonstrate the robustness of SGT against statistical and environmental noise, highlighting its efficacy in the photon-starved regime typical of quantum information applications.
Accuracy of a Novel High-Throughput “Car Blood Pressure” Measurement Protocol
Authors: Lima Neiberg de Alcantara , Cardozo Shaun , Johnson Andrew , Reed Brian , Korzeniewski Steven , Levy Phillip D , Brook Robert D 
Published: January 2025

Abstract

Background
More than one in three adults with hypertension in the United States are unaware of their condition, highlighting the importance of large-scale screening campaigns. Currently, the identification of hypertension is largely limited to medical settings. To help overcome this barrier, we developed a novel high-throughput screening protocol that measures blood pressure (BP) while patients remain seated in an automobile (“car-BP”). The aim of this study was to provide an initial assessment of the accuracy of car-BP.

Methods
Three BP readings were determined in a clinic exam room before and after three BP readings were taken while patients were seated in a parked car outside (n = 100 participants). The same validated device model (Omron HEM-907XL) and BP measurement methods adhering to guidelines were used in both scenarios. The average of all 6 clinic readings was compared to the average of the 3 car-BP readings in each individual.

Results
Mean clinic and car-BP readings were 120.9 ± 16.2/78.0 ± 9.9 and 118.9 ± 15.2/76.0 ± 10.0 mm Hg, respectively. The paired mean and absolute mean differences in systolic BP levels between methods were -1.92 mm Hg (95% confidence interval (CI) -3.2 to -0.7 mm Hg) and 4.8 mm Hg (95%CI 3.8 to 5.6 mm Hg), respectively. A total of 85% of participants had both systolic and diastolic BP levels ≤ 10 mm Hg different between measurement scenarios (meeting the a priori determined study primary outcome).

Conclusions
Car-BP represents an innovative and accessible approach for potential large-scale hypertension screening campaigns.
scatterbar: an R package for visualizing proportional data across spatially resolved coordinates
Authors: Velazquez Dee , Fan Jean 
Published: January 2025

Abstract

Motivation
Displaying proportional data across many spatially resolved coordinates is a challenging but important data visualization task, particularly for spatially resolved transcriptomics data. Scatter pie plots are one type of commonly used data visualization for such data but present perceptual challenges that may lead to difficulties in interpretation. Increasing the visual saliency of such data visualizations can help viewers more accurately identify proportional trends and compare proportional differences across spatial locations.

Results
We developed scatterbar, an open-source R package that extends ggplot2, to visualize proportional data across many spatially resolved coordinates using scatter stacked bar plots. We apply scatterbar to visualize deconvolved cell-type proportions from a spatial transcriptomics dataset of the adult mouse brain to demonstrate how scatter stacked bar plots can enhance the distinguishability of proportional distributions compared to scatter pie plots.

Availability and implementation
scatterbar is available on CRAN https://cran.r-project.org/package=scatterbar with additional documentation and tutorials at https://jef.works/scatterbar/.