bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nasal/Oral Vowel Perception in French-Speaking Children With Cochlear Implants and Children With Typical Hearing
Authors: Fagniart Sophie , Delvaux Véronique , Harmegnies Bernard , Huberlant Anne , Huet Kathy , Piccaluga Myriam , Watterman Isabelle , Charlier Brigitte 
Published: March 2024

Purpose:
The present study investigates the perception of vowel nasality in French-speaking children with cochlear implants (CIs; CI group) and children with typical hearing (TH; TH group) aged 4–12 years. By investigating the vocalic nasality feature in French, the study aims to document more broadly the effects of the acoustic limitations of CI in processing segments characterized by acoustic cues that require optimal spectral resolution. The impact of various factors related to children's characteristics, such as chronological/auditory age, age of implantation, and exposure to cued speech, has been studied on performance, and the acoustic characteristics of the stimuli in perceptual tasks have also been investigated.

Method:
Identification and discrimination tasks involving French nasal and oral vowels were administered to two groups of children: 13 children with CIs (CI group) and 25 children with TH (TH group) divided into three age groups (4–6 years, 7–9 years, and 10–12 years). French nasal vowels were paired with their oral phonological counterpart (phonological pairing) as well as to the closest oral vowel in terms of phonetic proximity (phonetic pairing). Post hoc acoustic analyses of the stimuli were linked to the performance in perception.

Results:
The results indicate an effect of the auditory status on the performance in the two tasks, with the CI group performing at a lower level than the TH group. However, the scores of the children in the CI group are well above chance level, exceeding 80%. The most common errors in identification were substitutions between nasal vowels and phonetically close oral vowels as well as confusions between the phoneme /u/ and other oral vowels. Phonetic pairs showed lower discrimination performance in the CI group with great variability in the results. Age effects were observed only in TH children for nasal vowel identification, whereas in children with CIs, a positive impact of cued speech practice and early implantation was found. Differential links between performance and acoustic characteristics were found within our groups, suggesting that in children with CIs, selective use of certain acoustic features, presumed to be better transmitted by the implant, leads to better perceptual performance.

Conclusions:
The study's results reveal specific challenges in children with CIs when processing segments characterized by fine spectral resolution cues. However, the CI children in our study appear to effectively compensate for these difficulties by utilizing various acoustic cues assumed to be well transmitted by the implant, such as cues related to the temporal resolution of stimuli.

Supplemental Material:

https://doi.org/10.23641/asha.25328704
Improved reputation evaluation for reliable federated learning on blockchain
Authors: Sui Jiacheng , Li Yi , Huang Hai 
Published: March 2024

AbstractWorker selection is critical to the success of federated learning, but issues such as inadequate incentives and poor‐quality data can negatively impact the process. The existing studies have used the multi‐weight subjective logic model, but it is vulnerable to malicious evaluation and unfair to newly added nodes. In this paper, the authors propose an improved reputation evaluation algorithm that allows evaluations from different sources to influence each other and reduce the impact of malicious comments. The authors’ approach effectively distinguishes between malicious and honest users and improves worker selection and collaboration in federated learning.
A symmetric 8T2R NVSRAM with autosave function
Authors: Su Bowen , Cai Jueping , Zhang Yuxin , Wang Yiding 
Published: March 2024

AbstractThis letter presented a symmetric 8T2R NVSRAM with autosave function. By efficiently multiplexing the node voltages, the control of the nonvolatile memristor and the isolation of the data node from the memristor are achieved, which ensures an instantaneous transition to the memristor state. Store and restore can be achieved within 66.1ps and 2.97 ps in case of VDD is 1 V for the worst case. In addition, the 8T2R structure performs well at lower supply voltages as 243.3 mV for STORE and 411.8 mV for RESTORE. When a 10%‐dimensional error of the devices and 10% memristance mismatch are taken into account, the 8T2R still shows high stability.
Interval analysis of the small‐signal stability of grid‐connected voltage‐source converter system considering multiparameter uncertainty
Authors: Ouyang Fuxin , Shao Zhenguo , Jiang Changxu , Zhang Yan , Chen Feixiong 
Published: March 2024

AbstractGrid‐connected voltage source converters (VSCs) have been broadly applied in modern power system. However, instability issues may be triggered by the integration of grid‐connected VSCs, jeopardising the operation of the power grid. Conventional stability analysis methods can be utilised to derive system stability margins under nominal conditions. Whereas grid‐connected VSCs inevitably operate under multiparameter uncertainty, which may result in overly optimistic or even incorrect estimations of stability margins, thereby posing potential risks to system operation. To address this issue, an interval small‐signal stability analysis approach is proposed to investigate the system stability under multiparameter uncertainty. First, the interval state‐space model of the grid‐connected VSC system is constructed based on interval symbolic linearisation. Furthermore, the interval eigenvalue decomposition is introduced to calculate the interval eigenvalue distribution of the interval state‐space model. Eventually, the upper bounds of the real part of the dominant interval eigenvalues are utilised for deriving interval stable parameter regions. Results of Monte Carlo analysis and time‐domain simulations of the grid‐connected VSC system are utilised to verify the effectiveness of the proposed interval stability analysis method.
A network search space reduction method for robust coordinated energy storage and transmission expansion planning
Authors: Yang Qian , Wang Jianxue , Zhang Yao , Li Qingtao 
Published: March 2024

AbstractThe development of renewable energy will increase the demand for flexible resources in power systems due to the strong uncertainties. To allocate resources and cope with these uncertainties, it is beneficial to apply robust coordinated energy storage and transmission expansion planning (ES&TEP). The large candidate line set can significantly increase the computational complexity of robust optimization models. However, there is currently no suitable network search space reduction (NSSR) method to address this problem. This paper designs a NSSR method based on redundancy constraint identification that only requires information on component power ranges rather than fixed power curves, which can be well adapted to robust optimization. Additionally, this method requires only basic numerical calculations and ensures convergence within a finite number of iterations. The classical stochastic robust ES&TEP model and the column and constraint generation (C&CG) algorithm are used to validate the effectiveness of the NSSR method. In the case studies, the numerical results confirm the rationality and effectiveness of the approach proposed in this paper. By selecting appropriate parameters, the candidate line set can be reduced by over 70% and the computational efficiency can be improved by an order of magnitude.
Brain tumour segmentation framework with deep nuanced reasoning and Swin‐T
Authors: Xu Yang , Yu Kun , Qi Guanqiu , Gong Yifei , Qu Xiaolong , Yin Li , Yang Pan 
Published: March 2024

AbstractTumour medical image segmentation plays a crucial role in clinical imaging diagnosis. Existing research has achieved good results, enabling the segmentation of three tumour regions in MRI brain tumour images. Existing models have limited focus on the brain tumour areas, and the long‐term dependency of features is weakened as the network depth increases, resulting in blurred edge segmentation of the targets. Additionally, considering the excellent segmentation performance of the Swin Transformer(Swin‐T) network, its network structure and parameters are relatively large. To address these limitations, this paper proposes a brain tumour segmentation framework with deep nuanced reasoning and Swin‐T. It is mainly composed of the backbone hybrid network (BHN) and the deep micro texture extraction module (DMTE). The BHN combines the Swin‐T stage with a new downsampling transition module called dual path feature reasoning (DPFR). The entire network framework is designed to extract global and local features from multi‐modal data, enabling it to capture and analyze deep texture features in multi‐modal images. It provides significant optimization over the Swin‐T network structure. Experimental results on the BraTS dataset demonstrate that the proposed method outperforms other state‐of‐the‐art models in terms of segmentation performance. The corresponding source codes are available at https://github.com/CurbUni/Brain‐Tumor‐Segmentation‐Framework‐with‐Deep‐Nuanced‐Reasoning‐and‐Swin‐T.
SWPanGAN: A hybrid generative adversarial network for pansharpening
Authors: Huang Bo , Li Xiongfei , Zhang Xiaoli 
Published: March 2024

AbstractPansharpening is a vital technique in remote sensing that combines a low‐resolution multi‐spectral image with its corresponding panchromatic image to obtain a high‐resolution multi‐spectral image. Despite its potential benefits, the challenge lies in extracting features from the source images and eliminating artefacts in the fused images. In response to the challenge, a hybrid generative adversarial network‐based model, termed SWPanGAN, is proposed. For better feature extraction, the conventional convolution neural network is replaced with a Swin transformer in the generator, which provides the generator with the ability to model long‐range dependencies. Additionally, to suppress artefacts, a wavelet‐based discriminator is proposed for effectively distinguishing the frequency discrepancy. With these modifications, both the generator and discriminator networks of SWPanGAN are enhanced. Extensive experiments illustrate that our SWPanGAN can generate high‐quality pansharpening images and surpass other state‐of‐the‐art methods.
Enhanced complex wire fault diagnosis via integration of time domain reflectometry and particle swarm optimization with least square support vector machine
Authors: Laib Abderrzak , Chelabi Mohamed , Terriche Yacine , Melit Mohammed , Boudjefdjouf Hamza , Ahmed Hafiz , Chedjara Zakaria 
Published: March 2024

AbstractUrban power systems rely on intricate wire networks, known as the power grid, which form the essential electric infrastructure in cities. While these networks transmit electricity from power plants to consumers, they are vulnerable to faults caused by manufacturing errors and improper installation, posing risks to system integrity. Thus, accurate identification and assessment of these faults are crucial to prevent damage and maintain system reliability. The objective of this research is to present an innovative and efficient methodology for diagnosing complex wire networks through the application of time domain reflectometry (TDR) combined with the particle swarm optimization (PSO) and least squares support vector machine (LSSVM) algorithm. This research addresses the imperative need to accurately locate and assess breakage faults within wire networks, emphasizing their role in both power transmission and communication infrastructure. To model the TDR answer of a specific complex wire network, a forward model is established utilizing resistance, inductance, capacitance and conductance (RLCG) parameters and the finite difference time domain (FDTD) method. Subsequently, the PSO‐LSSVM approach is used to solve the inverse problem of localizing faults in complex wire networks. The experimental results validate the practicality of this approach in real‐world systems.
Impact of extracorporeal haemoadsorption during prolonged cardiopulmonary bypass on the incidence of acute kidney injury
Authors: Jabayeva Nilufar , Bekishev Bolat , Lesbekov Timur , Nurmykhametova Zhuldyz , Kaliyev Rymbay , Faizov Linar , Kuanyshbek Aidyn , Samalavicius Robertas 
Published: March 2024

The usage of cardiopulmonary bypass (CPB) in cardiothoracic surgery contributes to the activation of the inflammatory response. In certain cases, the systemic inflammatory response may be immoderate, leading to organ dysfunction, such as acute renal failure or multiorgan dysfunction. This study aimed to examine the effect of haemoadsorption (HA) therapy on inflammatory markers and renal damage indices during cardiopulmonary bypass and in the early postoperative period. We conducted a retrospective analysis of prospectively collected data in a single tertiary care center on patients operated between January 2021 and May 2022. The levels of inflammatory markers and renal parameters in blood samples (Interleukin (IL) 6, C-reactive protein (CRP), white blood cells, lactate, procalcitonin (PCT), and NT-proBNP, urea, creatinine, glomerular filtration rate (GFR), mechanical ventilation days and intensive care unit (ICU) days) were compared between the three groups. Data from the Jafron HA 330 (n = 20) and CytoSorb300 (n = 20) groups were compared with those from the control group (n = 20). All patients underwent cardiopulmonary bypass for more than 120 min. Baseline patient characteristics were similar in all three groups. Acute kidney injury (AKI) was diagnosed in 17 patients (28.3%); seven patients were in the Jafron HA 330, two in the CytoSorb300, and eight in the control group. We found that IL1α, IL 6, IL8, Lactate dehydrogenase, PCT, NT-proBNP, CRP, Leukocyte, and TNFα had no significant or clinical difference between the CytoSorb 300 and Jafron HA 330 adsorber groups. Our results indicate that haemoadsorption therapy does not significantly reduce the risk of AKI after prolonged CPB, but decreases the need for renal replacement therapy.
Risikofaktoren für die Entstehung der primären Schultersteife: ein aktueller Überblick
Authors: van Hattem Suncana , Regener Eva-Maria , Prangenberg Christian , Strauss Andreas Christian , de Girolamo Laura , Burger Christof , Wirtz Dieter Christian , Cucchi Davide 
Published: March 2024

ZusammenfassungEine schmerzhafte Reduktion der Beweglichkeit der Schulter, die als „Schultersteife“ bekannt ist, kann sowohl primär idiopathisch auftreten als auch sekundär, bspw. als Folge chirurgischer Eingriffe. Es existieren verschiedene Faktoren, die zur Entstehung der primären Schultersteife beitragen können. Daher fasst diese Übersichtsarbeit pathophysiologische Mechanismen, genetische Einflüsse, endokrinologische Störungen, metabolische Krankheitsbilder sowie andere Erkrankungen und medizinisch-therapeutische Ansätze zusammen, die möglicherweise einen Einfluss auf die Entwicklung der primären Schultersteife haben könnten.
Storage Conditions Influence the Quality of Ginger – A Stability Study Inspired by Clinical Trials
Authors: Tóth Barbara , Horváth Attila , Laczkovich Orsolya Jójártné , Biró Zsófia Dalma , Matuz Mária , Csupor Dezső 
Published: March 2024

AbstractGinger has traditionally been used to treat and prevent nausea and vomiting; however, the results of clinical trials are ambiguous. The efficacy of ginger is attributed to gingerols and their metabolites, shogaols. Since these compounds have different pharmacological profiles, the clinical efficacy of ginger products is largely dependent on their chemical composition. The goal of our study was to examine the stability of ginger, determining the 6-gingerol contents in order to assess the effects of different storage conditions. We have performed a 6-month stability test with dry ginger rhizome samples stored in a constant climate chamber in three different storage containers (uncovered glass container, glass container sealed with rubber stopper, and plastic container). The 6-gingerol contents were measured by HPLC method. The concentration of 6-gingerol decreased in all samples. In the sealed glass container, the decrease in 6-gingerol content was significantly lower than in
the unsealed glass container and in the plastic container. These results demonstrate that storage conditions have a significant impact on the quality of ginger, which may also affect efficacy.
Impact of Western transmission of the Peking Gazette on Late-Qing China’s information security
Authors: Chen Ling , Deng Lianjian 
Published: March 2024

AbstractThe Peking Gazette, as a widespread and effective medium for the dissemination of important information from the Qing government, played a significant role in the internal governance of the empire. In the 19th century, Western missionaries, diplomats, and businessmen in China respected the authenticity and authority of the content in the Gazette, and carried out large-scale translations of political, social, cultural, economic, and military-diplomatic information into English. Western transmission of the Peking Gazette to some extent promoted cultural exchanges between China and the West and also provided the Western powers, which were in a period of expansion, with a wealth of political and military intelligence. The internally focused Qing dynasty was initially unaware of the Western transmission of the Peking Gazette and later took a series of doomed measures, leading to severe damage to national information security and political safety. The historical lessons of the Qing empire are enlightening for countries worldwide today: there is a need not only for openness and transparency but also for balancing the relationship between information disclosure and national security.
Quantum tomography of molecules using ultrafast electron diffraction
Authors: Jiang Jiayang , Zhang Ming , Gu Aosheng , Miller R. J. Dwayne , Li Zheng 
Published: March 2024

We propose a quantum tomography (QT) approach to retrieve the temporally evolving reduced density matrix in electronic state basis, where the populations and coherence between the ground state and excited state are reconstructed from the ultrafast electron diffraction signal. In order to showcase the capability of the proposed QT approach, we simulate the nuclear wavepacket dynamics and ultrafast electron diffraction of photoexcited pyrrole molecules using the ab initio quantum chemical CASSCF method. From the simulated time-resolved diffraction data, we retrieve the evolving density matrix in a crude diabatic representation basis and reveal the symmetry of the excited pyrrole wavepacket. Our QT approach opens the route to make a quantum version of “molecular movie” that covers the electronic degree of freedom and equips ultrafast electron diffraction with the power to reveal the coherence between electronic states, relaxation, and dynamics of population transfer.
Gradient index metamaterials for broadband underwater sound absorption
Authors: Pan Xiao , Fang Xinsheng , Yin Xuewen , Li Yan , Pan Yongdong , Jin Yabin 
Published: March 2024

The underwater broadband anechoic coating is highly demanded in acoustic stealth for underwater vehicles. In this work, we propose a gradient index metamaterial for broadband underwater sound absorption, which is further experimentally validated under high pressure conditions. The gradient index metamaterial consisting of radius-varied cavities in rubber allows the sound waves to follow the objective trajectory in a broad band with impedance matching at the interface with water. The viscosity of the materials and the coupling effect among the gradient cavities contribute to broadband sound absorption. The performance of broadband sound absorption from 1 to 10 kHz is validated experimentally, which agrees well with the theoretical and numerical results. We further experimentally demonstrate the sound absorption performance with hydrostatic pressure up to 3 MPa and analyze the mechanism of the sound absorption deviation caused by high pressures. The proposed gradient index metamaterial provides a simple and efficient way to develop underwater broadband acoustic coatings.
Free-energy landscape and spinodals for the liquid–liquid transition of the TIP4P/2005 and TIP4P/Ice models of water
Authors: Sciortino Francesco , Gartner Thomas E. , Debenedetti Pablo G. 
Published: March 2024

Continued increases in computational power now make it possible to evaluate the free-energy landscape associated with the first-order liquid–liquid transition in realistic models of water for which an accurate estimate of the liquid–liquid critical point exists, and to explore its change with pressure near the coexistence line. We report the results of 50 μs-long NPT umbrella sampling simulations for two realistic models for water, TIP4P/2005 and TIP4P/ice, 3–9 K below their critical temperatures. The free energy profile at different pressures clearly shows the presence of two well-defined free energy basins and makes it possible to identify the liquid–liquid spinodal points, the limits of stability that define the (temperature dependent) pressure range within which two distinct free energy basins exist. The results show that for temperatures less than 10 K below the critical temperature, metastable states are possible across a very limited pressure interval, information that is relevant to the interpretation of experiments probing the metastable phase behavior of deeply supercooled water in the so-called no-man’s land.
Assessment of reactive species concentrations in plasma-treated water: a pH and conductivity-based method validated by absorption spectroscopy
Authors: Petković J , van de Wege R , Wubs J R , van Rooij O J A P , van Oorschot J J , Huiskamp T , Sobota A 
Published: March 2024

Abstract
To assess the species in plasma-treated water, two methods were compared: calibrated absorption spectroscopy and a method using pH and conductivity to determine the amount of dominant reactive species in the water. A function fitting method was developed for the analysis of the absorption spectra based on solutions with known concentrations. The influence of plasma treatment time on demineralized water and the

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concentration was studied using the two methods; the results in both cases show an almost linear growth with time. The method, utilizing pH and conductivity, shows consistent results with those achieved using UV absorption spectroscopy in considerably less time and in a more cost-efficient manner.
Theoretical prediction of two-dimensional CrSi2N4 as a potential anode material for Na-ion batteries
Authors: Du Boyang , Lou Jianzhong , Wu Minghui , Wu Zhanfei , Liu Guangbei , Li Hu , Huo Shizhe , Liu Lei , Wang Linxia 
Published: March 2024

Abstract
Efficient anode materials are critical for high-performance rechargeable lithium-ion batteries (LIBs) and sodium-ion batteries. This paper systematically investigates the potential of the CrSi2N4 monolayer as anode material for LIBs and sodium-ion batteries by first-principles density functional theory calculations. It was found that CrSi2N4 exhibits outstanding performance in sodium-ion batteries, with a low diffusion energy barrier of 0.10 eV and a high theoretical specific capacity of 490 mAh g−1. Meanwhile, the average open circuit voltage is 0.47 V, comparable to the typical anode materials. In addition, a small lattice constant change of 0.3%–3.1% ensures the cycling stability of CrSi2N4 in sodium-ion batteries. This work suggests a promising candidate anode material for sodium-ion batteries.