bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial intelligence framework for heart disease classification from audio signals
Authors: Abbas Sidra , Ojo Stephen , Al Hejaili Abdullah , Sampedro Gabriel Avelino , Almadhor Ahmad , Zaidi Monji Mohamed , Kryvinska Natalia 
Published: February 2024

AbstractAs cardiovascular disorders are prevalent, there is a growing demand for reliable and precise diagnostic methods within this domain. Audio signal-based heart disease detection is a promising area of research that leverages sound signals generated by the heart to identify and diagnose cardiovascular disorders. Machine learning (ML) and deep learning (DL) techniques are pivotal in classifying and identifying heart disease from audio signals. This study investigates ML and DL techniques to detect heart disease by analyzing noisy sound signals. This study employed two subsets of datasets from the PASCAL CHALLENGE having real heart audios. The research process and visually depict signals using spectrograms and Mel-Frequency Cepstral Coefficients (MFCCs). We employ data augmentation to improve the model’s performance by introducing synthetic noise to the heart sound signals. In addition, a feature ensembler is developed to integrate various audio feature extraction techniques. Several machine learning and deep learning classifiers are utilized for heart disease detection. Among the numerous models studied and previous study findings, the multilayer perceptron model performed best, with an accuracy rate of 95.65%. This study demonstrates the potential of this methodology in accurately detecting heart disease from sound signals. These findings present promising opportunities for enhancing medical diagnosis and patient care.
Marine heatwave events strengthen the intensity of tropical cyclones
Authors: Choi Hwan-Young , Park Myung-Sook , Kim Hyeong-Seog , Lee Seonju 
Published: February 2024

AbstractMarine heatwaves become more frequent and stronger due to global warming. It is necessary to clarify how and by which process marine heatwaves affect marine weather systems. Here, we examine how marine heatwaves strengthen tropical cyclones. We analyze 128 tropical cyclones that intensified with marine heatwaves and 184 tropical cyclones that intensified without marine heatwaves over the western North Pacific and Atlantic. Marine heatwaves finally lead to a maximum intensity of 35.4% stronger (106.72 kts) tropical cyclone. Notably, satellite data reveal that marine heatwaves are associated with precipitation-richer tropical cyclone conditions despite similar tropical cyclone intensities. Due to the increased latent heat flux during marine heatwaves, intensified precipitation near the tropical cyclone center contributes to the intensification process. This study provides insights into how more frequent marine heatwaves by global warming impact tropical cyclones.
Towards (better) fluvial meta-ecosystem ecology: a research perspective
Authors: Talluto Lauren , del Campo Rubén , Estévez Edurne , Altermatt Florian , Datry Thibault , Singer Gabriel 
Published: February 2024

AbstractRivers are an important component of the global carbon cycle and contribute to atmospheric carbon exchange disproportionately to their total surface area. Largely, this is because rivers efficiently mobilize, transport and metabolize terrigenous organic matter (OM). Notably, our knowledge about the magnitude of globally relevant carbon fluxes strongly contrasts with our lack of understanding of the underlying processes that transform OM. Ultimately, OM processing en route to the oceans results from a diverse assemblage of consumers interacting with an equally diverse pool of resources in a spatially complex network of heterogeneous riverine habitats. To understand this interaction between consumers and OM, we must therefore account for spatial configuration, connectivity, and landscape context at scales ranging from local ecosystems to entire networks. Building such a spatially explicit framework of fluvial OM processing across scales may also help us to better predict poorly understood anthropogenic impacts on fluvial carbon cycling, for instance human-induced fragmentation and changes to flow regimes, including intermittence. Moreover, this framework must also account for the current unprecedented human-driven loss of biodiversity. This loss is at least partly due to mechanisms operating across spatial scales, such as interference with migration and habitat homogenization, and comes with largely unknown functional consequences. We advocate here for a comprehensive framework for fluvial networks connecting two spatially aware but disparate lines of research on (i) riverine metacommunities and biodiversity, and (ii) the biogeochemistry of rivers and their contribution to the global carbon cycle. We argue for a research agenda focusing on the regional scale—that is, of the entire river network—to enable a deeper mechanistic understanding of naturally arising biodiversity–ecosystem functioning coupling as a major driver of biogeochemically relevant riverine carbon fluxes.
Sustainable release of LiNO3 in carbonate electrolytes for stable lithium metal anodes
Authors: Li Siyu , Liu Yuhang , Wang Ke , Hu Xiaoqi , Guan Wanqing , Du Zhuzhu , Du Hongfang , Ai Wei 
Published: February 2024

A bilayer separator comprising a polypropylene layer and a polyacrylonitrile layer infused with LiNO3 was fabricated, which improves the content of LiNO3 in carbonate electrolytes and enhances the longevity of lithium metal batteries.
Δ-Keto-acid/hydroxy-lactone isomerization in some lichen depsides, depsidones and diphenyl ethers
Authors: Uriac Philippe , Ferron Solenn , Jehan Philippe , Roisnel Thierry , Tomasi Sophie 
Published: February 2024

NMR spectroscopy and reactivity studies of seven lichens metabolites showed that the substituent in C2′ controls the δ-keto-acid(ka)/hydroxy-lactone(hl) equilibrium: ka is obtained with an H-bond acceptor (OCH3) and hl with an H-bond donor (OH).
TCR β chain repertoire characteristic between healthy human CD4+ and CD8+ T cells
Authors: Li Ge , Chen Yaqiong , Liu Yinji , Gao Zhenfang , Jia Ruiyan , Lv Zhonglin , Li Yuxiang , Wang Zhiding , Han Gencheng 
Published: February 2024

Abstract
T cell is vital in the adaptive immune system, which relays on T-cell receptor (TCR) to recognize and defend against infection and tumors. T cells are mainly divided into well-known CD4+ and CD8+ T cells, which can recognize short peptide antigens presented by major histocompatibility complex (MHC) class II and MHC class I respectively in humoral and cell-mediated immunity. Due to the Human Leukocyte Antigen (HLA) diversity and restriction with peptides complexation, TCRs are quite diverse and complicated. To better elucidate the TCR in humans, the present study shows the difference between the TCR repertoire in CD4+ and CD8+ T cells from 30 healthy donors. The result showed count, clonality, diversity, frequency, and VDJ usage in CD4+ and CD8+ TCR-β repertoire is different, but CDR3 length is not. The Common Clone Cluster result showed that CD4+ and CD8+ TCR repertoires are connected separately between the bodies, which is odd considering the HLA diversity. More knowledge about TCR makes more opportunities for immunotherapy. The TCR repertoire is still a myth for discovery.
Differentiating Language for Students Who Are Deaf or Hard of Hearing: A Practice-Informed Framework for Auditory and Visual Supports
Authors: Wainscott Sarah D. , Spurgin Kelsey 
Published: February 2024

Purpose:
Speech-language pathologists (SLPs) serving students who are d/Deaf or hard of hearing (Deaf/hh) and their deaf education counterparts must navigate complexities in language that include modalities that are spoken or signed and proficiency, which is often compromised. This tutorial describes a practice-informed framework that conceptualizes and organizes a continuum of auditory and visual language supports with the aim of informing the practice of the SLP whose training is more inherently focused on spoken language alone, as well as the practice of the teacher of the Deaf/hh (TDHH) who may focus more on visual language supports.

Method:
This product resulted from a need within interdisciplinary, graduate programs for SLPs and TDHHs. Both cohorts required preparation to address the needs of diverse language learners who are Deaf/hh. This tutorial includes a brief review of the challenges in developing language proficiency and describes the complexities of effective service delivery. The process of developing a practice-informed framework for language supports is summarized, referencing established practices in auditory-based and visually based methodologies, identifying parallel practices, and summarizing the practices within a multitiered framework called the Framework of Differentiated Practices for Language Support. Recommendations for use of the framework include guidance on the identification of a student's language modality/ies and proficiency to effectively match students' needs and target supports.

Conclusions:
An examination of established practices in language supports across auditory and visual modalities reveals clear parallels that can be organized into a tiered framework. The result is a reference for differentiating language for the interdisciplinary school team. The parallel supports also provide evidence of similarities in practice across philosophical boundaries as professionals work collaboratively.
Research on industrial risk early warning algorithms based on edge computing and multimodal data
Authors: Su Qiao , Wang Hongsu , Zhao Haiyang , Chu Yan , Li Jie , Lyu Xuan , Li Zijuan 
Published: February 2024

AbstractTo achieve real‐time and effective prediction of industrial site risks, this paper proposes an industrial risk prediction framework for multimodal data based on edge computing. First, the authors gather and annotate industrial risk multimodal data that consist of text descriptions, images, and videos. Then, the authors transfer the data to the edge server, and apply deep learning models such as Bidirectional Encoder Representations from Transformers (BERT), ResNet etc., to extract features and learn representations for text, image, and video data respectively. The authors input the fused feature data into an enhanced long short term memory (LSTM) model and train it on the dataset. Finally, the authors perform the risk prediction based on the collected multimodal data. The experimental results demonstrate that the method proposed in this paper exhibits superior performance, achieving a 1.4% enhancement in predictive accuracy.
Metaheuristic‐based graded objective function strategy for optimal thyristor‐controlled series capacitors estimation in weak distribution systems with uncertain distributed generation
Authors: Mohamed Mohamed Abd‐El‐Hakeem , Kamel Salah , Wulfran Fendzi Mbasso 
Published: February 2024

AbstractThis study proposes an optimal approach for enhancing the quality of a weak electrical power distribution system by utilizing thyristor‐controlled series capacitors (TCSC). The proposed approach considers various system components, including shunt capacitors and distributed generators that rely on renewable energy sources, which are characterized by uncertainty due to changing weather conditions. The proposed system maximizes the benefits of these components by updating its parameters to improve the distribution power system's quality under all operating conditions, which change due to the varying energy generated by the distributed generators and load changes. The optimal TCSC values are calculated for all operating conditions using the Hyper‐Spherical Search with graded objective functions management strategy (HSSA‐GOFMS) algorithm. The GOFMS converts all restrictions into objective functions with limits and prioritizes the search for objectives according to a sequential system of priorities. This strategy prevents the possibility of non‐convergence. The results demonstrate the effectiveness of the proposed approach in improving the performance quality of a weak electrical distribution system. The proposed strategy achieves the target voltage level limits within nominal values, even with the interference of the system with generators distributed at variable power levels. Furthermore, the proposed approach enhances the performance quality of the system under a wide range of load changes.
A novel 4 × 4 butler matrix with continuously tunable phase covering 360° range and application for 1‐D and 2‐D beam scanning array
Authors: Zhang Junzhi , Li Jianxin , Chen Anrong , Hu JianJia , Yang Tao , Chi Pei‐Ling 
Published: February 2024

AbstractA novel 4 × 4 Butler Matrix (BM) with continuously tunable phase covering phase range from −180° to 180° is proposed using substrate integrated waveguide technology. The proposed BM consists of two H‐plane hybrid couplers, two E‐plane hybrid couplers and four 180° tunable phase shifters. With this simple configuration, the proposed BM can realise a continuously tunable progressive phase difference from −180° to 180° in a one‐dimensional (1‐D) or two‐dimensional (2‐D) form. For demonstration, the proposed BM has been fabricated to feed a 1 × 4 or 2 × 2 broadband microstrip antenna arrays. The fabricated prototype has a 16.7% fractional impendence bandwidth centred at 6 GHz. The measured pattern for the 1‐D array showed a continuous beam scanning range from −39° to 39° in H‐Plane, while the measured radiation patterns for the 2‐D array showed continuous beam range from −27° to 30° in elevation and 0°–180° in azimuth. The measurement results were in good agreement with the simulation results.
Leveraging InGaN solar cells for visible light communication reception
Authors: Manzoor Habib Ullah , Manzoor Sanaullah , Jamshed Muhammad Ali , Manzoor Tareq 
Published: February 2024

AbstractSolar cells are increasingly being utilised for both energy harvesting and reception in free‐space optical (FSO) communication networks. The authors focus on the implementation of a mid‐band p‐In0.01Ga0.99 N/p‐In0.5Ga0.5 N/n‐In0.5Ga0.5 N (PPN) solar cell, boasting an impressive 26.36% conversion efficiency (under 1.5AM conditions) as a receiver within an indoor FSO communication network. Employing a solar cell with dimensions of 1 mm in length and width, the FSO system underwent simulation using Optisystm software, while the solar cell's behaviour was simulated using SCAPS‐1D. The received power from the solar cell was then compared to that of four commercially available avalanche photodiode (APD) receivers. Exploring incident wavelengths spanning 400–700 nm within the visible spectrum, across transmission distances of 5, 10, 15, and 20 m, the study presented current‐voltage (IV) and power‐voltage curves. Notably, the InGaN solar cell exhibited superior electrical power output compared to all commercial APDs. In conclusion, the findings underscore that augmenting received power has the potential to enhance FSO network quality and support extended transmission distances.
A charging equalizer based on Zeta converter for hybrid energy storage system
Authors: Chen Kefan , Xu Bin , Liu Lizhou 
Published: February 2024

AbstractThis thesis proposes a charging equalizer for hybrid energy storage systems, incorporating the Zeta converter, voltage multiplier, and multi‐winding transformer. The objective is efficient charging and equalization for battery and supercapacitor strings. The Zeta converter serves to charge the battery string, while the transformer with multi‐winding shares the inductor of Zeta converter as the primary side, facilitating battery string balancing through the utilization of current ripple in the inductor. Additionally, the voltage ripple generated by the Zeta converter is utilized to drive the voltage multiplier, enabling the charging and equalization of the supercapacitor string. The system's operation halts upon reaching the predefined threshold voltage for the supercapacitor strings. The proposed circuit transforms into a Zeta converter by employing a single‐pole double‐throw switch, facilitating the charging of the battery strings. Experimental validation uses four series‐connected supercapacitors and four series‐connected batteries, demonstrating successful equalization and charging for both energy storage components.
Coordinated planning of DGs and soft open points in multi‐voltage level distributed networks based on the Stackelberg game
Authors: Chen Zhihua , He Ye , Hua Yuting , Wu Hongbin , Bi Rui 
Published: February 2024

AbstractThere are significant differences in distributed generators (DGs) distribution and load characteristics between different voltage levels, which makes it difficult to match sources and loads. We focus on the problem of different consumption capacities at different voltage levels and the divergence of interests among investment entities, and propose a coordinated planning model for DGs and soft open points (SOPs) based on the Stackelberg game. Firstly, a model of a multi‐voltage level distribution networks (DNs) is constructed based on SOPs. Next, the source‐load matching degree is proposed as a measure of the degree of matching between sources and loads in the DN, and the source‐load consumption rate is selected as an indicator to evaluate the impact of the load on DG consumption. Following this, the interest demands of DG investors and distribution company (DisCo) in multi‐voltage levels DN are analyzed, a planning mode based on the Stackelberg game is proposed, and this is solved by combining the genetic algorithm with second‐order cone programming. Finally, the effectiveness of the planning model is tested and verified using an improved IEEE 28‐node system. The results show that the proposed model improves the DG consumption capacity of DNs with multiple voltage levels while protecting the interests of DG investors and DisCo.
Similarity‐oriented method for inverse synthetic aperture radar imaging with low signal‐to‐noise ratio
Authors: Xu Xinbo , Zhang Qiang , Su Fulin , Liu Jinshan , Wen Yuan , Jin Xinfei , Li Hongxu 
Published: February 2024

AbstractNoise impairs the performance of inverse synthetic aperture radar (ISAR) motion compensation, which induces severe defocusing under low signal‐to‐noise ratio environments. To overcome this issue, a novel similarity‐oriented (SO) method with a two‐domain denoising strategy is proposed. A PIxEl similarity‐oriented (PIE‐SO) denoising method designed for range‐Doppler (RD) domain and a modified RAnge Profile Similarity‐Oriented (RAP‐SO) denoising method designed for high‐resolution range profile (HRRP) matrix are included in the presented framework. Firstly, the PIE‐SO method directly performs a two‐dimensional fast Fourier transform on dechirp processed echo data to form a coarsely focusing ISAR image in the RD domain. Then the focusing image is separated from the noise background by virtue of pixel similarity, after which the noise is preliminarily removed. Subsequently, the coarsely denoised image is transformed into the HRRP matrix. Considering the range profile similarity impaired by noise is restored by the PIE‐SO denoising, a Laplacian regularised‐weighted nuclear norm proximal (LR‐WNNP) operator is proposed. The proposed modified RAP‐SO method, that is, the LR‐WNNP operator, exploits the low‐rank property of the HRRP matrix and the local similarity of adjacent HRRPs to reduce the residual noise. As a result, ISAR imaging quality is significantly improved. Comprehensive experiments illustrate the effectiveness and superiority of the presented method.
High turbulence in the IM Lup protoplanetary disk
Authors: Paneque-Carreño T. , Izquierdo A. F. , Teague R. , Miotello A. , Bergin E. A. , Loomis R. , van Dishoeck E. F. 
Published: February 2024

Context. Constraining turbulence in disks is key to understanding their evolution via the transport of angular momentum. Measurements of high turbulence remain elusive, and methods for estimating turbulence mostly rely on complex radiative transfer models of the data. Using the disk emission from IM Lup, a source proposed to be undergoing magneto-rotational instabilities (MRIs) and to possibly have high turbulence values in the upper disk layers, we present a new way of directly measuring turbulence without the need of radiative transfer or thermochemical models.
Aims. Through the characterization of the CN and C2H emission in IM Lup, we aim to connect the information on the vertical and thermal structure of a particular disk region to derive the turbulence at that location. By using an optically thin tracer, it is possible to directly measure turbulence from the nonthermal broadening of the line.
Methods. The vertical layers of the CN and C2H emission were traced directly from the channel maps using ALFAHOR. By comparing their position to that of optically thick CO observations, we were able to characterize the kinetic temperature of the emitting region. Using a simple parametric model of the line intensity with DISCMINER, we accurately measured the emission linewidth and separated the thermal and nonthermal components. Assuming that the nonthermal component is fully turbulent, we were able to directly estimate the turbulent motions at the studied radial and vertical location of CN emission.
Results. IM Lup shows a high turbulence of Mach 0.4–0.6 at z/r ~ 0.25. Considering previous estimates of low turbulence near the midplane, this may indicate a vertical gradient in the disk turbulence, which is a key prediction in MRI studies. CN and C2H are both emitting from a localized upper disk region at z/r = 0.2–0.3, in agreement with thermochemical models.
Magnetic field amplification in massive primordial halos
Authors: Díaz V. B. , Schleicher D. R. G. , Latif M. A. , Grete P. , Banerjee R. 
Published: February 2024

Context. The potential importance of magnetic fields during structure formation and gravitational collapse in the early Universe has been shown in several studies. In particular, magnetic field amplification by the small-scale dynamo plays an important role in addition to the pure amplification expected from gravitational collapse.
Aims. In this paper we study the small-scale dynamo for halos of ≳107 M⊙ collapsing at z ≳ 12, under different ambient conditions due to the strength of the Lyman-Werner background. Additionally, we estimate the approximate saturation level by varying the initial magnetic field strength.
Methods. We performed cosmological magnetohydrodynamical simulations for three distinct halos of ∼107 M⊙ at z ≥ 12 by varying the Jeans resolution from 32 − 256 cells and employed Lyman Werner background flux of strengths 102 − 105 in units of J21, where J21 = 10−21 erg cm−2 sr−1 s−1Hz−1. To follow the chemical and thermal evolution of the gas, we made use of the KROME package.
Results. In addition to the compression by collapse, we find magnetic field amplification via the dynamo in the regimes of atomic and molecular hydrogen cooling. Moreover, we find a lower saturation level in the molecular hydrogen cooling regime. This behaviour can be understood in terms of the generally reduced radial infall velocities and vorticities in this regime, as well as the higher Mach numbers of the gas, which give rise to a smaller saturation ratio.
Conclusions. Our results overall suggest that the dynamo operates over a large range of conditions in the collapsing gas.