bluuebunny/crossref_metadata_2025_split huggingface dataset:
Equivariant parametrized topological complexity
Authors: Daundkar Navnath 
Published: November 2024

AbstractIn this paper, we define and study an equivariant analogue of Cohen, Farber and Weinberger’s parametrized topological complexity. We show that several results in the non-equivariant case can be extended to the equivariant case. For example, we establish the fibrewise equivariant homotopy invariance of the sequential equivariant parametrized topological complexity. We obtain several bounds on sequential equivariant topological complexity involving the equivariant category. We also obtain the cohomological lower bound and the dimension-connectivity upper bound on the sequential equivariant parametrized topological complexity. In the end, we use these results to compute the sequential equivariant parametrized topological complexity of equivariant Fadell–Neuwirth fibrations and some equivariant fibrations involving generalized projective product spaces.
Slab‐Plume Interactions Beneath Australia and New Zealand: New Insight From Whole‐Mantle Tomography
Authors: Toyokuni Genti , Zhao Dapeng 
Published: November 2024

AbstractAustralia, New Zealand, and the surrounding regions have experienced complex plate interactions with significant seismic and volcanic activities. The Taupo volcano on the North Island of New Zealand has experienced multiple catastrophic eruptions. Although Australia is known as a stable landmass with low seismic and volcanic activity, intraplate volcanoes along its eastern coast are considered to be caused by hot mantle plumes. To better understand the seismic and volcanic activities in the region, it is necessary to study the detailed 3‐D structure of the crust and mantle. Here we apply a well‐established global tomography method to reveal the 3‐D P‐wave velocity () structure of the whole mantle beneath this region. We used ∼7 million P, pP, PP, PcP, and Pdiff wave arrival times of 23,666 earthquakes recorded at 14,181 seismograph stations worldwide. The resulting tomography clearly shows high‐ subducted slabs, and low‐ anomalies above and below the slabs, which may reflect corner flow in the mantle wedge and subslab hot mantle upwelling (SHMU), respectively. A slab window is revealed beneath the North Island of New Zealand. Given the development of SHMU beneath this region, the catastrophic eruptions of the Taupo volcano might be powered by a mixture of island arc magma and SHMU through the slab window. Beneath the intraplate volcanoes along the eastern coast of Australia and the Tasman Sea, a thin low‐ zone exists and extends down to the core‐mantle boundary, suggesting that the intraplate volcanoes might be, at least partially, fed by a plume rising from the lower mantle.
Early Season 2023 Wildfires Generated Record‐Breaking Surface Ozone Anomalies Across the U.S. Upper Midwest
Authors: Cooper Owen R. , Chang Kai‐Lan , Bates Kelvin , Brown Steven S. , Chace Wyndom S. , Coggon Matthew M. , Gorchov Negron Alan M. , Middlebrook Ann M. , Peischl Jeff , Piasecki Alison , Schafer Nell , Stockwell Chelsea E. , Wang Siyuan , Warneke Carsten , Zuraski Kristen , Miyazaki Kazuyuki , Payne Vivienne H. , Pennington Elyse A. , Worden John R. , Bowman Kevin W. , McDonald Brian C. 
Published: November 2024

AbstractDuring summer 2023 Canada experienced its most intense wildfire season on record. Smoke plumes from these fires advected across the United States (U.S.) Upper Midwest, producing regional scale surface enhancements of PM2.5 and ozone, as recorded by the U.S. surface monitoring network. These events are notable because they occurred early in the fire season (May 15‐June 30), and they produced the highest regional‐scale surface ozone levels ever recorded across the northern tier of the U.S. during early (May–June) or late (July‐August) summer. Specifically, the Upper Midwest 50th ozone percentile was greater than in any other year since 1995, when the ozone monitoring network had sufficient coverage to assess regional‐scale ozone levels; the 90th percentile was the highest since 2002. Satellite and aircraft measurements demonstrate the availability of ozone precursors and ozone production within the smoke plumes.
Improving the Parameterization of Complex Subsurface Flow Properties With Style‐Based Generative Adversarial Network (StyleGAN)
Authors: Ling Wei , Jafarpour Behnam 
Published: November 2024

AbstractRepresenting and preserving complex (non‐Gaussian) spatial patterns in aquifer flow properties during model calibration are challenging. Conventional parameterization methods that rely on linear/Gaussian assumptions are not suitable for representation of property maps with more complex spatial patterns. Deep learning techniques, such as Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN), have recently been proposed to address this difficulty by learning complex spatial patterns from prior training images and synthesizing similar realizations using low‐dimensional latent variables with Gaussian distributions. The resulting Gaussian latent variables lend themselves to calibration with the ensemble Kalman filter‐based updating schemes that are suitable for parameters with Gaussian distribution. Despite their superior performance in generating complex spatial patterns, these generative models may not provide desirable properties that are needed for parameterization of model calibration problems, including robustness, smoothness in the latent domain, and reconstruction fidelity. This paper introduces the second generation of style‐based Generative Adversarial Networks (StyleGAN) for parameterization of complex subsurface flow properties and compares its model calibration properties and performance with those of the convolutional VAE and GAN architectures. Numerical experiments involving model calibration with the Ensemble Smoother with Multiple Data Assimilation (ES‐MDA) in single‐phase and two‐phase fluid flow examples are used to assess the capabilities and limitations of these methods. The results show that parameterization with StyleGANs provides superior performance in terms of reconstruction fidelity and flexibility, underscoring its potential for improving the representation and reconstruction of complex spatial patterns in subsurface flow model calibration problems.
Microbubble-based fabrication of resilient porous ionogels for high-sensitivity pressure sensors
Authors: Yang Ziwei , Wang Jingxiao , Wan Xiao , Xu Hongcheng , Zhang Chuanyu , Lu Xiaoke , Jing Weixuan , Guo Chuanfei , Wei Xueyong 
Published: November 2024

AbstractHigh-sensitivity flexible pressure sensors have obtained extensive attention because of their expanding applications in e-skins and wearable medical devices for various disease diagnoses. As the representative candidate for these sensors, the iontronic microstructure has been widely proven to enhance sensation behaviors such as the sensitivity and limits of detection. However, the fast and tunable fabrication of ionic-porous sensing elastomers remains challenging because of the current template-dissolved or 3D printing methods. Here, we report a microbubble-based fabrication process that enables microporous and resilient-compliance ionogels for high-sensitivity pressure sensors. Periodic motion sliding results in a relative velocity between the imported airflow and the fluid solution, converts the airflow to microbubbles in the high-viscosity ionic fluid and promptly solidifies the fluid into a porous ionogel under ultraviolet exposure. The ultrahigh porosity of up to 95% endows the porous ionogel with superelasticity and a Young’s modulus near 7 kPa. Due to the superelastic compliance and iontronic electrical double-layer effect, the porous ionogel packaged into two electrodes endows the pressure sensor with high sensitivity (684.4 kPa−1) over an ultrabroad range (~1 MPa) and a high-pressure resolution of 0.46%. Furthermore, the pressure sensor successfully captures high-yield broad-range signals from the fingertip low-pressure pulses (<1 kPa) to foot high-pressure activities (>500 kPa), even the grasping force of soft machine hands via an array-scanning circuit during object recognition. This microbubble-based fabrication process for porous ionogels paves the way for designing wearable sensors or permeable electronics to monitor and diagnose various diseases.
An Open Source Python Library for Anonymizing Sensitive Data
Authors: Sáinz-Pardo Díaz Judith , López García Álvaro 
Published: November 2024

AbstractOpen science is a fundamental pillar to promote scientific progress and collaboration, based on the principles of open data, open source and open access. However, the requirements for publishing and sharing open data are in many cases difficult to meet in compliance with strict data protection regulations. Consequently, researchers need to rely on proven methods that allow them to anonymize their data without sharing it with third parties. To this end, this paper presents the implementation of a Python library for the anonymization of sensitive tabular data. This framework provides users with a wide range of anonymization methods that can be applied on the given dataset, including the set of identifiers, quasi-identifiers, generalization hierarchies and allowed level of suppression, along with the sensitive attribute and the level of anonymity required. The library has been implemented following best practices for integration and continuous development, as well as the use of workflows to test code coverage based on unit and functional tests.
Study on secondary collapse of the bottom frame masonry structure in semi-ruined state based on FEM–FDEM
Authors: Xu Defeng , Sun Feifei , Zhao Huaixiang , Qi Honghui , Chen Limei , Hu Tianyu 
Published: November 2024

AbstractThe bottom frame masonry structure (BFMS) in a semi-ruined state is vulnerable to secondary collapse under strong aftershocks, posing a significant risk to rescuers during post-earthquake operations. Therefore, investigating the mechanisms and characteristics of secondary collapse of BFMS in a semi-ruined state (BFMS-SR) under aftershocks is critical. This paper proposes a numerical modeling framework for BFMS under mainshock-aftershock conditions, utilizing a combination of the finite element method (FEM) and the finite discrete element method (FDEM). The validation demonstrates that FEM–FDEM can effectively reproduce the transition of BFMS from an intact state to a semi-ruined state, ultimately leading to a secondary collapse state. Subsequently, the mechanisms and structural response characteristics of BFMS-SR under aftershocks are analyzed. The secondary collapse of the BFMS-SR under aftershocks is primarily governed by column hinge development. Furthermore, according to the time-history curve of absolute vertical velocity, the secondary collapse of BFMS-SR exhibits four distinct stages: stabilization, structural response development, secondary collapse, and post-collapse. The end of the stabilization phase is proposed as the early-warning threshold for secondary collapse of BFMS-SR under aftershocks, aiding in post-earthquake rescue operations.
High-resolution biologging of an Atlantic bluefin tuna captured and eaten by a supposed orca
Authors: Rudd Jessica L. , Abel Ghalia , Baringo Francisco , Birch Samantha , Block Barbara A. , Collins Martin A. , de Stephanis Renaud , Exeter Owen M. , Garzon Francesco , Guinet Christophe , Horton Thomas W. , Righton David , van der Kooij Jeroen , Witt Matthew J. , Wright Serena , Hawkes Lucy A. 
Published: November 2024

Abstract
Biologging has been used on a range of wild animals to document spectacular feats of migration and behaviour. We describe the pursuit, capture, and ingestion of an adult Atlantic bluefin tuna (Thunnus thynnus) (175 cm, estimated weight: 81 kg), which was instrumented with a biologging tag, by a predator, most likely an orca (Orcinus orca). The predation event lasted over 19 min, with the tuna exhibiting elevated activity (max acceleration 3.12 g) and a rapid ascent from 126 m at 3.6 m.s− 1 followed by death and handling at the surface. Orca were separately recorded using video tags, capturing and handling tuna cooperatively in a manner consistent with the tuna data. We then present the longest orca accelerometry dataset from the ingested MiniPAT tag, with diel patterns of activity and 77 feeding events. These unique datasets provide insight into the energetic dynamics of two of the ocean’s fastest predators.
A Comparative Study of Auditory Processing and Working Memory Profiles in Young and Older Adults
Authors: Ramadas Vaishnavi , Vaidyanath Ramya , Uppunda Ajith Kumar , Viswanathan Sushma 
Published: November 2024

Purpose:
This study aimed to profile and compare the auditory processing and working memory skills of young and older adults with near-normal hearing thresholds (up to 2000 Hz) and cognition. This was done to investigate the effect of aging on these skills despite exhibiting near-normal peripheral hearing in low frequencies and normal cognitive skills.

Method:

Twenty-five young adults (18 to 35 years) and 35 older adults (56 to 79 years) were recruited for the study. They were screened for near-normal hearing thresholds (up to 2000 Hz) as well as cognition, and written informed consent was obtained. A battery of auditory processing and working memory tests were administered to the participants. The responses obtained were compared using the Mann–Whitney
U
test. Principal component analysis (PCA) was also carried out to examine any relationship between the various auditory processes and the cognitive skills.

Results:
The young adults had superior performance compared to older adults on most of the tasks. PCA revealed the influence of working memory on performance in most tests of auditory processing in young adults and to a lesser extent in older adults.

Conclusions:
This study aimed to assess and compare the auditory processing and working memory skills of young and older adults with normal hearing and cognition. Overall, young adults demonstrated superior performance compared to older adults across the tasks. The results of PCA indicated that the young adults utilized their cognitive resources better for auditory processing compared to the older adults. These findings suggest a need for tailored interventions targeting both auditory processing and working memory, especially among older adults, and highlight the importance of considering age-related differences in these cognitive processes when interpreting auditory processing assessments.
The Current State of the Literature on Dual-Task Performance Across Multiple Domains in Individuals With Chronic Poststroke Aphasia: A Scoping Review
Authors: Dawson Nicole , Bislick Lauren , Suarez Lara 
Published: November 2024

Background:
Understanding the impact that poststroke aphasia has on dual-task performance across multiple domains of function may inform the development of effective interventions. The purpose of this scoping review is to identify (a) the main theoretical frameworks used to explain dual-task performance deficits in individuals with poststroke aphasia; (b) the domains of function measured and the assessments used; (c) interventions aimed to improve dual-task performance; and, finally, (d) gaps that exist in the current body of literature regarding dual-task in persons with aphasia.

Method:
A search of Linguistics and Language Behavior Abstracts, PsycINFO, Communication & Mass Media Complete, PubMed, CINAHL Plus, ScienceDirect, and the Cochrane Library was undertaken to identify publications on the topic. Articles were included in the review if they (a) were written in English, (b) included individuals with chronic poststroke aphasia, (c) included measures of dual-task performance, and/or (d) consisted of a theoretical narrative with a focus on dual task in persons with aphasia.

Results:
Following the full-text screening, a total of 17 studies were in included for synthesis. Fourteen articles focused on dual-task experimental studies; one study consisted of a dual-task intervention; and two papers proposed a theory, framework, or schema to explain dual-task performance.

Conclusion:
Gaps were identified in the literature, as well as differences in the methodology employed across studies, highlighting the need for consistency across experimental tasks and further examination across domains.
Inferring Word Class and Meaning From Spoken and Written Texts: A Comparison of Children With and Without Developmental Language Disorder
Authors: McGregor Karla K. , Pomper Ron , Eden Nichole , Appenzeller Margo , Arbisi-Kelm Timothy , Polese Elaina , Reed Deborah K. 
Published: November 2024

Purpose:
The aim of the study was to determine the ability of children with developmental language disorder (DLD) to infer word class and meaning from text and to document variations by word class (noun, verb, adjective) and modality (listening, reading). We also asked whether the children could integrate global cues across the entire passage as well as local cues from the immediate sentence frame to support inferences.

Method:

Fourth graders with DLD (
n
= 28) and typical language development (TLD;
n
= 41) read and listened to expository texts and guessed the noun, verb, and adjective removed from each. Adults (
n
= 20) completed the task to establish a baseline of correct responses. We used latent semantic analysis (LSA) to determine the semantic fit of the responses to the texts and to determine whether global cues were more difficult for children with DLD than local cues.

Results:
The DLD group was 24% less accurate than the TLD group. In both diagnostic groups, accuracy varied by word class (nouns > adjectives > verbs) but not modality (reading = listening). Word class errors were rare, and errors of semantic fit were frequent. LSA cosines were higher for correct responses relative to the passage as a whole than the immediate sentence frame, suggesting that both groups mined the more extensive information in the global cues to support inferences. Compared to the TLD group, the DLD group tended to make “worse” errors: repeating words from the sentence frame or coming up with no response at all. Accuracy in the DLD group, but not the TLD group, was related to vocabulary knowledge. When the two groups were collapsed, scores on verbal short-term/working memory and sustained attention also predicted performance, but weaknesses in these aspects of executive function on the part of individuals with DLD did not fully explain the difference between the performance of the DLD and TLD groups.

Conclusions:
Whether listening or reading, fourth graders with DLD are less able to infer word meaning from texts than their age-mates. The problem reflects, in part, deficits in executive function and lexical semantic knowledge.
Warum es nur gemeinsam geht!
Authors: Lukuc Sarah 
Published: November 2024

ZusammenfassungDer Pflegeberuf wird immer professioneller. Leider ist das Pflegemanagement nicht ständig Mitglied der Unternehmensleitung. Lesen Sie im Kommentar, warum Kliniken nur mit einer interdisziplinären Führungsstruktur aus Verwaltung – Medizin – Pflege langfristig profitabel und auf hohem Niveau agieren können.
Zwischen Macht und Verantwortung
Authors: Netzel Janine 
Published: November 2024

ZusammenfassungDank der sozialpsychologischen Forschung wissen wir um die korrumpierenden Effekte von Macht auf
Führungskräfte und welche zentralen Stellschrauben es für gute Führung im Gesundheitswesen gibt. Erfahren
Sie, ob Sie noch Macht ausüben oder schon führen ...
Safety of intrabiliary radiofrequency ablation in cases of residual and recurrent neoplasia after endoscopic papillectomy
Authors: Dahel Yanis , Caillol Fabrice , Ratone Jean-Philippe , Zemmour Christophe , Palen Anais , Garnier Jonathan , Ewald Jacques , Turrini Olivier , Hoibian Solene , Giovannini Marc 
Published: November 2024

AbstractIntrabiliary radiofrequency ablation (IB-RFA) is a therapeutic option for cases of
positive margin or recurrence after endoscopic papillectomy (EP) for superficial neoplasia.
We report our experience concerning safety and efficiency of IB-RFA.This was a single tertiary center retrospective study. All patients who underwent IB-RFA
indicated for residual or recurrent neoplasia after EP were included. We assessed morbidity
(<30 days) and late complications (>30 days). Secondary outcomes were clinical success
and late recurrence (absence of recurrence at the papillectomy site 12 months after IB-RFA
and recurrence beyond 12 months, respectively).Twenty-five patients were included and underwent IB-RFA for deep positive margins
(20/25, 80%) or relapse (5/25, 20%) and 40 sessions were delivered. The morbidity rate was
8% (2/24) (1 pancreatitis, 1 bleeding). Acute pancreatitis was significantly more common in
the absence of pancreatic stenting (0% vs. 22%, P=0.046). One
patient for whom pancreatic stenting failed died from acute severe pancreatitis in the first
month (mortality rate=4%). Late complications occurred in 12 of 24 patients (50%) concerning
only biliary stricture, all of which were managed endoscopically without sequelae. The
clinical success rate was 92% (22/24), and late recurrence occurred in two of 24 patients
(8%).IB-RFA is relatively safe and efficient in cases of residual or recurrent neoplasia after EP and is an alternative to surgery in well-selected cases. Biliary stricture occurred frequently (50%) but could be managed endoscopically without sequelae in all cases. In cases of pancreatic stenting failure and because of the risk of severe and potentially lethal acute pancreatitis, IB-RFA should be postponed.
Biliary Complications after Liver Transplant: Imaging Review and Minimally Invasive Management
Authors: Jain Rishabh , Kumar Abhinandan , Sasturkar Shridhar Vasantrao , Mukund Amar 
Published: November 2024

AbstractWith the advent of living donor liver transplant, the waiting list mortality of patients needing liver transplant has decreased. However, increased morbidity is observed, including higher rates of biliary complications (BCs). Strictures and postoperative leaks constitute the majority of the BCs. Various factors such as multiple biliary ducts anastomosis and small caliber ducts in the bile ducts increase the risk of biliary strictures. The lack of biliary dilation in the graft livers after liver transplant makes the recognition of biliary complications challenging and the diagnosis relies on abnormal liver function tests. Magnetic resonance cholangiopancreaticography provides a valuable means to assess the biliary anatomy prior to interventions by showing the level of stricture. While endoscopic retrograde cholangiopancreatography is considered the first modality to treat biliary strictures, those patients with proximal strictures and those with complex biliary anatomy with acute angulations between the donor and the recipient show poor response to endoscopic interventions. In such patients, percutaneous biliary interventions have success rates between 70 and 90%. Novel percutaneous biliary intervention techniques such as cholangioscopy-assisted laser incision and magnetic compression anastomosis are used to navigate difficult biliary strictures. Recently, biodegradable stents have been used to treat recalcitrant biliary strictures. In this review, we present the imaging features of common biliary complications following liver transplant and percutaneous biliary interventions in managing these complications.