bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of recycled battery graphite decorated with poly hippuric acid/ multiwalled carbon nanotubes as an ecofriendly sensor for serotonin
Authors: El-Nasser Aya G. Abd , Metwally Mahmoud G. , Shoukry Azza A. , El Nashar Rasha M. 
Published: November 2024

AbstractA novel modified sensor based on electropolymerization of hippuric acid (HA) using cyclic voltammetry within the potential window − 1 to 1.5 V for 10 cycles at a scan rate 100 mV s−1 over multiwalled carbon nanotubes (MWCNTs) on battery graphite electrode (BGE). Poly (HA)/MWCNTs/BGE sensor exhibited two linearity ranges 3.00 × 10−3 to 1.00 µM (5.29 × 10−4 – 0.18 µg/ml) and 5.00 to 1.00 × 103 µM (0.88− 176.22 µg/ml) with limit of detection (LOD) of 0.06 × 10−2 µM (1.06 × 10−4 µg/ml) and limit of quantification (LOQ) of 2.00 × 10−3 µM (3.52 × 10−4 µg/ml). The poly (HA)/MWCNTs/BGE sensor was successfully applied to the determination of SER in the presence of tryptophan and in human blood serum with recovery ranges 98.31–105.47% with RSD values 3.02– 4.77%. Green chemistry metrics : national environmental index (NEMI), analytical greenness metric (AGREE), Raynie and Driver, green analytical procedure index (GAPI), and the analytical eco-scale were employed and indicated that the proposed sensor can be classified as an excellent green method, achieving an analytical eco-scale score of 84.
Comparative architecture of the tessellated boxfish (Ostracioidea) carapace
Authors: Eigen Lennart , Wölfer Jan , Baum Daniel , Le Mai-Lee Van , Werner Daniel , Dean Mason N. , Nyakatura John A. 
Published: November 2024

AbstractTessellations (surface architectures of arrays of hard tiles) are common in natural and man-made designs. Boxfishes (Ostracioidea) are almost completely encased in a tessellated armor and have evolved a plethora of cross-sectional carapace shapes, yet whether the scutes constructing these exhibit comparable variation is unknown. Using high-resolution microCT and semi-automatic segmentation algorithms, we quantitatively examined thousands of scutes from 13 species of diverse body form. A cluster analysis revealed that certain scute types are associated with specific carapace regions independent of carapace shape. Scute types differentiate between carapace edges and flat regions, as well as between the head region with many carapace openings and the more consistently closed abdominal region, pointing at a constructional commonality or constraint shared by all boxfish species. However, the dimensions of edge scutes varied systematically with carapace shape (e.g., scute aspect ratio tended to increase with decreasing carapace height). This suggests that protection is maintained across body forms by managing scute- and carapace-level mechanisms for increasing bending resistance. Future studies on other taxa are necessary to understand whether these architectural principles are specific evolutionary solutions for building a boxfish carapace or whether they are shared by other biological systems that serve a similar protective function.
Different sustained and induced alpha oscillations emerge in the human auditory cortex during sound processing
Authors: López-Madrona Víctor J. , Trébuchon Agnès , Bénar Christian G. , Schön Daniele , Morillon Benjamin 
Published: November 2024

AbstractAlpha oscillations in the auditory cortex have been associated with attention and the suppression of irrelevant information. However, their anatomical organization and interaction with other neural processes remain unclear. Do alpha oscillations function as a local mechanism within most neural sources to regulate their internal excitation/inhibition balance, or do they belong to separated inhibitory sources gating information across the auditory network? To address this question, we acquired intracerebral electrophysiological recordings from epilepsy patients during rest and tones listening. Thanks to independent component analysis, we disentangled the different neural sources and labeled them as “oscillatory” if they presented strong alpha oscillations at rest, and/or “evoked” if they displayed a significant evoked response to the stimulation. Our results show that 1) sources are condition-specific and segregated in the auditory cortex, 2) both sources have a high-gamma response followed by an induced alpha suppression, 3) only oscillatory sources present a sustained alpha suppression during all the stimulation period. We hypothesize that there are two different alpha oscillations in the auditory cortex: an induced bottom-up response indicating a selective engagement of the primary cortex to process the stimuli, and a sustained suppression reflecting a general disinhibited state of the network to process sensory information.
Signatures of under-the-barrier dynamics in a tunneling electron wavepacket
Authors: Klaiber Michael , Hatsagortsyan Karen Z. , Keitel Christoph H. 
Published: November 2024

AbstractThe time delay in strong field tunneling ionization presents a captivating challenge in the field of attoscience. It is linked to the phase of the photoelectron wavepacket, a relationship that modern attosecond photoelectron interferometry can effectively probe. However, the connection between sub-barrier dynamics and the phase formation remains unclear. In this study, we investigate the role of under-the-barrier recollisions for shaping the phase of the photoelectron wavepacket. We establish a general analytical relationship between the phase of the tunneled electron wavepacket and the tunneling rate. Our results demonstrate that the Coulomb field effect of the atomic potential enhances both the amplitude of the recolliding path and the phase shift of the wavepacket, effectively countering the lateral spreading of the tunneling wavepacket during sub-barrier propagation. The insights gained from this research will aid in the development of free electron wavepackets with tailored properties through strong field ionization.
Producing Nasal Vowels Without Nasalization? Perceptual Judgments and Acoustic Measurements of Nasal/Oral Vowels Produced by Children With Cochlear Implants and Typically Hearing Peers
Authors: Fagniart Sophie , Delvaux Véronique , Harmegnies Bernard , Huberlant Anne , Huet Kathy , Piccaluga Myriam , Watterman Isabelle , Charlier Brigitte 
Published: November 2024

Purpose:
The objective of the present study is to investigate nasal and oral vowel production in French-speaking children with cochlear implants (CIs) and children with typical hearing (TH). Vowel nasality relies primarily on acoustic cues that may be less effectively transmitted by the implant. The study investigates how children with CIs manage to produce these segments in French, a language with contrastive vowel nasalization.

Method:
The children performed a task in which they repeated sentences containing a consonant-vowel-consonant-vowel–type pseudoword, the vowel being a nasal or oral vowel from French. Thirteen children with CIs and 25 children with TH completed the task. Among the children with CIs, the level of exposure to Cued Speech (CS) was either occasional (CS−) or intense (CS+). The productions were analyzed through perceptual judgments and acoustic measurements. Different acoustic cues related to nasality were collected: segmental durations, formant values, and predicted values of nasalization. Multiple regression analyses were conducted to examine which acoustic features are associated with perceived nasality in perceptual judgments.

Results:
The perceptual judgments realized on the children's speech productions indicate that children with sustained exposure to CS (CS+) exhibited the best identified and most distinct oral/nasal productions. Acoustic measures revealed different production profiles among the groups: Children in the CS+ group seem to differentiate between nasal and oral vowels by relying on segmental duration cues and variations in oropharyngeal configurations (associated with formant differences) but less through nasal resonance.

Conclusion:
The study highlights (a) a benefit of sustained CS practice for CI children for the intelligibility of nasal–oral segments, (b) privileged exploitation of temporal (segmental duration) and salient acoustic cues (oropharyngeal configuration) in the CS+ group, and (c) difficulties among children with CI in distinguishing nasal–oral segments through nasal resonance.

Supplemental Material:

https://doi.org/10.23641/asha.27744768
Interprofessional Practice in the Schools for Students With Traumatic Brain Injury
Authors: Macauley Beth L. 
Published: November 2024

Purpose:
This clinical focus article discusses the roles and responsibilities of professionals involved in the support of children with traumatic brain injury (TBI) in the public schools. Application of each profession, including speech-language pathology, to children at different ages is explored. Two case studies, with example Individualized Education Program goals, are used to highlight the integration of the interprofessional team in caring for the child with TBI.

Conclusions:
The interprofessional team is instrumental in helping a child with TBI be successful in the public school. Each discipline shares their expertise with the others to provide an integrated plan specific to the child. This plan provides treatment, support, and what the child needs to learn and grow. Difficulties arise when a discipline is not part of the team, the team has poor communication, and there is a gap between the medical team, the school team, and the family/caregivers. Early identification and management of children with TBI, tailored educational plans, and sustained collaboration throughout the child's schooling are associated with improved educational outcomes.
Multi‐level interval rolling warning method for distributed photovoltaic fluctuation events
Authors: Zhang Yumin , Qi Yunrui , Ye Pingfeng , Li Zhengmao , Yang Jiajia , Ji Xingquan 
Published: November 2024

AbstractThe power fluctuation of distributed photovoltaic (PV) systems significantly impacts the balance of the power system, leading to risks like PV curtailment and load shedding. This paper proposes a multi‐level rolling warning method for distributed PV power fluctuation (DPPF) based on interval analysis, aiming to establish a framework for proactively mitigating the potential adverse effects of fluctuations in distributed PV systems. Firstly, the power control mechanism to deal with DPPF is clarified, and warning levels are defined to determine the range of fluctuations that can be controlled by different power control measures. Secondly, based on the probability density of DPPF, the probabilities of each warning level are obtained by integrating the probability densities within each warning range. Finally, the differences in the forecasting accuracy of PV power fluctuations at different time scales are analysed, and the rolling warning of DPPF is achieved by periodically updating PV power output to adjust the warning results. Simulation results demonstrate that the proposed method identifies the thresholds for each warning range and provides warnings for different system operating conditions and PV power fluctuation events, confirming its effectiveness and applicability.
An enhanced YOLOv8‐based bolt detection algorithm for transmission line
Authors: Hua Guoxiang , Zhang Huai , Huang Chen , Pan Moji , Yan Jiyuan , Zhao Haisen 
Published: November 2024

AbstractThe current bolt detection for overhead work robots used for transmission lines faces the problems of lightweight algorithms and high accuracy of target detection. To address these challenges, this paper proposes a lightweight bolt detection algorithm based on improved YOLOv8 (you only look once v8) model. Firstly, the C2f module in the feature extraction network is integrated with the self‐calibrated convolution module, and the model is streamlined by reducing spatial and channel redundancies of the network through the SRU and CUR mechanisms in the module. Secondly, the P2 small object detection layer is introduced into the neck structure and the BiFPN network structure is incorporated to enhance the bidirectional connection paths, thereby promoting the upward and downward propagation of features. It improves the accuracy of the network for bolt‐small target detection. The experimental results show that, compared to the original YOLOv8 model, the proposed algorithm demonstrates superior performance on a self‐collected dataset. The mAP accuracy is improved in this paper by 9.9%, while the number of model parameters and the model size is reduced by 0.973 × 106 and 1.7 MB, respectively. The improved algorithm improves the accuracy of the bolt detection while reducing the computation complexity to achieve more lightweight model.
RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging
Authors: Czempiel Tobias , Roddan Alfie , Leiloglou Maria , Hu Zepeng , O'Neill Kevin , Anichini Giulio , Stoyanov Danail , Elson Daniel 
Published: November 2024

AbstractThis study investigates the reconstruction of hyperspectral signatures from RGB data to enhance surgical imaging, utilizing the publicly available HeiPorSPECTRAL dataset from porcine surgery and an in‐house neurosurgery dataset. Various architectures based on convolutional neural networks (CNNs) and transformer models are evaluated using comprehensive metrics. Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges. Qualitative assessments demonstrate the capability to predict spectral profiles critical for informed surgical decision‐making during procedures. Challenges associated with capturing both the visible and extended hyperspectral ranges are highlighted using the MAE, emphasizing the complexities involved. The findings open up the new research direction of hyperspectral reconstruction for surgical applications and clinical use cases in real‐time surgical environments.
k‐wise multi‐graph matching
Authors: Zhu Xinwen , Zhu Liangliang , Geng Xiurui 
Published: November 2024

AbstractMulti‐graph matching (MGM), which aims to find correspondences among multiple graphs, is an extension of conventional two‐graph matching. Existing MGM methods fall into two categories: pairwise based and tensor based. Pairwise‐based methods consider similarities between every two features; while tensor‐based methods consider the overall similarity among all features, offering much more flexibility similarity measurements and less information loss, but at the cost of exorbitant computational demands. Here, a fresh perspective on MGM task is delivered, that is, matching based on any k features. It enables the consideration of more complex affinity relationship beyond pairwise while keeping computational demands within a manageable threshold. Furthermore, a factorization technique for the k‐wise global affinity matrix is proposed, significantly reducing space complexity. This approach unifies existing MGM methods and inspires future research focusing on k‐wise affinity relationship, showcasing both theoretical and practical advancements in the field. Experiments on synthetic and real‐world datasets demonstrate the superiority of our method.
Navigating uncertainty with cybernetics principles: A scoping review of interdisciplinary resilience strategies for rail systems
Authors: Cotet Corneliu , Kawalek Peter , Jackson Thomas 
Published: November 2024

AbstractCommon difficulties across industries are discovered in data management, where handling the volume, variety, and quality of data is crucial for informed decisions in uncertain environments. In this context, rail management must navigate complex decision‐making to ensure safety, service continuity, and cost‐effectiveness. The 2020 Stonehaven derailment is an example of the increasing vulnerability of rail infrastructure to environmental factors and systemic failures. It emphasizes the need for resilient systems, proficient at preventative maintenance and adaptable to escalating challenges. These matters further accentuate the need for context‐dependent strategies that bridge theoretical insights and practical applications. This scoping review explores strategies for decision‐making under uncertainty across sectors such as civil infrastructure, agriculture, water management, and emergency response. It unfolds a selection of procedures addressing the impacts of extreme weather and other unexpected disruptions. It also sets a foundation for future research to support rail infrastructure adaptation to climate change by advocating the use of cybernetic principles and artificial intelligence (AI) to enhance decision‐making processes. Cybernetics enables collaborative human‐AI methods, improving adaptability and resilience. However, balancing and incorporating diverse stakeholder viewpoints into decision chains remains difficult. While promising, substantial research and system improvements are needed to fully harness the potential of AI.
Voltage partial compensation strategy based on SA‐PSO algorithm for hybrid distributed transformers
Authors: Ma Ming , Zhuo Fang , Du Wanlin 
Published: November 2024

AbstractHybrid distributed transformers(HDT) play a good role in solving the problem of voltage fluctuation and asymmetry on the low‐voltage side. However, when the load voltage fluctuates, if the load voltage is fully compensated to meet the condition that the load voltage is equal to the rated voltage, HDT requires a larger compensation capacity and higher design cost. The output capacity of HDT is affected by multiple degrees of freedom, and the optimal output capacity cannot be obtained according to the traditional analytical formula. In order to obtain the optimal output capacity of HDT, this paper proposes a HDT voltage partial compensation strategy based on the SA‐PSO algorithm. By analysing the relationship between load and voltage regulation adjustment, the optimal working point is found by the SA‐PSO optimization algorithm. The proposed compensation strategy reduces the compensation capacity required by HDT, thereby reducing the design cost. The simulation results show the effectiveness of the proposed voltage partial compensation strategy.
Mechanism analysis on a type of limit induced oscillation for single‐machine infinite‐bus system of PMSG with positive damping
Authors: Wang Yuntao , Zhang Zhe , Feng Yuchen , Xue Ancheng 
Published: November 2024

AbstractThe mechanism of oscillations that occur in the system connected to renewable energy sources is complex, generally including negative damping oscillation, limit induced oscillation etc. Combining with the dynamic characteristics of the low‐dimensional system after limit working, this paper analyses the mechanism of a type of limit induced oscillation that occurs when the output of the DC voltage outer loop continuously touches the limit for single‐machine infinite‐bus system of permanent magnet synchronous generator with positive damping under a large disturbance. Specific study as follows: firstly, a non‐smooth state space model of single‐machine infinite‐bus system of permanent magnet synchronous generator with nonlinear state limit (clarified as a Filippov system) is established. Secondly, the small disturbance characteristics of the system are analysed when the limit does not work. Thirdly, the piecewise dynamic description of the system is analysed with the limit working, and the reason that the final contraction of the system to an eight‐dimensional manifold is explained based on mathematical derivation and physical characteristics. Finally, the characteristics of equilibrium point of the system in a low‐dimensional manifold are analysed when the limit continuously working, revealing that the existence of a pair of conjugate unstable eigenvalues in the low‐dimensional system is the reason of system oscillation.
Identification of co‐localised transcription factors based on paired motifs analysis
Authors: Liu Li , Han Lu , Han Kaiyuan , Zhang Zheng , Zhang Haojiang , Zhang Lirong 
Published: November 2024

AbstractThe interaction of transcription factors (TFs) with DNA precisely regulates gene transcription. In mammalian cells, thousands of TFs often interact with DNA cis‐regulatory elements in a combinatorial manner rather than act alone. The identification of cooperativity between TFs can help to explore the mechanism of transcriptional regulation. However, little is known about the cooperative patterns of TFs in the genome. To identify which TFs prefer co‐localisation, the authors conducted a paired motif analysis in the accessible regions of the human genome based on the Poisson background model. Especially, the authors distinguish the cooperative binding TFs and the competitive binding TFs according to the distance between TF motifs. In the K562 cell line, the authors find that TFs from a same family are always competing the same binding sites, such as FOS_JUN family, whereas KLF family TFs show significant cooperative binding in the adjacency region. Furthermore, the comparative analysis across 16 human cell lines indicates that most TF combination patterns are conserved, but there are still some cell‐line‐specific patterns. Finally, in human prostate cancer cells (PC‐3) and human prostate normal cells (RWPE‐2), the authors investigate the specific TF combination patterns in the disease cell and normal cell. The results show that the cooperative binding TF pairs shared by PC‐3 and RWPE‐2 account for over 90%. Simultaneously, the authors also identify 26 specific TF combination pairs in PC‐3 cancer cells.
Study of late-time ultraviolet emission in core collapse supernovae and its implications for the peculiar transient AT2018cow
Authors: Inkenhaag Anne , Jonker Peter G. , Levan Andrew J. , Fraser Morgan , Lyman Joseph D. , Galbany Lluís , Kuncarayakti Hanindyo 
Published: November 2024

Context. Over time, core-collapse supernova (CCSN) spectra become redder due to dust formation and cooling of the SN ejecta. An ultraviolet (UV) detection of a CCSN at late times will thus indicate an additional physical process, such as an interaction between the SN ejecta and the circumstellar material, or viewing down to the central engine of the explosion. Both of these models have been proposed to explain the peculiar transient AT2018cow, a luminous fast blue optical transient detected in the UV two to four years after the event, with only marginal fading over this time period.
Aims. To identify whether the late-time UV detection of AT2018cow could indicate that it is a CCSN, we investigate whether CCSNe are detectable in the UV between two and five years after the explosion. We determine how common late-time UV emission in CCSNe is and compare those CCSNe detected in the UV to the peculiar transient AT2018cow.
Methods. We used a sample of 51 nearby (z < 0.065) CCSNe observed with the Hubble Space Telescope within two to five years of discovery. We measured their brightness or determined an upper limit on the emission through an artificial star experiment in cases of no detection.
Results. For two CCSNe, we detected a point source within the uncertainty region of the SN position. Both have a low chance alignment probability with bright objects within their host galaxies. Therefore, they are likely to be related to their SNe, which are both known to be interacting SNe.
Conclusions. Comparing the absolute UV magnitude of AT2018cow at late times to the absolute UV magnitudes of the two potential SN detections, there is no evidence that a late-time UV detection of AT2018cow is atypical for interacting SNe. However, when limiting the sample to CCSNe closer than AT2018cow, we see that it is brighter than the upper limits on most CCSN non-detections. Combined with a very small late time photospheric radius of AT2018cow, this leads us to conclude that the late-time UV detection of AT2018cow was not driven by interaction. Instead, it suggests that we are possibly viewing the inner region of the explosion that is perhaps due to the long-lived presence of an accretion disc. Such properties are naturally expected in tidal disruption models and are less straightforward (though not impossible) in SN scenarios.