bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eye Fixation Behaviors and Processing Time of People With Aphasia and Neurotypical Adults When Reading Narratives With and Without Text-to-Speech Support
Authors: Knollman-Porter Kelly , Bevelhimer Andrew , Hux Karen , Wallace Sarah E. , Hughes Michael R. , Brown Jessica A. 
Published: December 2022

Background:
Researchers have used eye-tracking technology to investigate eye movements in neurotypical adults (NAs) when reading. The technology can provide comparable information about people with aphasia (PWA). Eye fixations occurring when PWA do and do not have access to text-to-speech (TTS) technology are of interest because the support improves reading comprehension and decreases processing time for at least some PWA.

Aims:
This study's purpose was to examine forward, regressive, and off-track eye fixations when PWA and NAs read narratives in read-only (RO) and TTS conditions. A secondary aim was to examine the influence of eye fixations on processing time.

Method and Procedure:
A Tobii Dynavox Pro Spectrum eye tracker recorded eye movements of nine PWA and nine NAs while reading narratives in two conditions. Movements of interest were forward fixations; within-word, within-sentence, and previous-sentence regressive fixations; and off-track fixations.

Outcomes and Results:
PWA exhibited significantly more forward and regressive fixations in the RO than TTS condition, whereas NAs showed opposite behaviors. NAs had significantly more off-track fixations in the TTS than RO condition, whereas PWA exhibited no difference across conditions. PWA took significantly longer to process content in the RO condition, whereas NAs took longer in the TTS condition.

Conclusions:
PWA and NAs differ in important ways when processing texts with and without TTS support. Examining eye-tracking data provides a means of gaining insight into the decoding and reading comprehension challenges of PWA and helps elucidate how assistive technology can mediate these challenges.
Complexities of Delivering Corrective Feedback in Clinical Education for Speech-Language Pathologists
Authors: Kleinhans Kelly A. , Peak Alison D. 
Published: December 2022

Purpose:
The intent of this tutorial is to promote speech-language pathology clinical educators' professional knowledge of feedback as a pedagogical intervention. This tutorial was formatted to enhance an educator's effectiveness in implementing feedback to promote professional growth for speech-language pathology students, new graduates, and those learning new skills. Special attention is given to the use of feedback in the supervisory conference.

Method:
Online databases were used to complete a focused literature review to identify current trends and evidence for using feedback in clinical education.

Discussion:
The construct of feedback, corrective feedback, and the sequencing of feedback are described. Feedback as a teaching tool in clinical education settings is often characterized as a learning conversation grounded in adult learning theory. Comparisons between feedback, adult learning theory, and various pedagogical approaches will be drawn. This tutorial highlights the interpersonal nature of feedback and explains how giving and receiving feedback are influenced by the cognitive and affective states of both the educator and the learner. Examples of utilizing feedback in various situations are provided to promote generalization between the tutorial and the reader's daily work.

Conclusion:
Recommendations for the use of feedback to inform the next steps in research and educational implementation are provided.
Global centralised and structured discriminative non‐negative matrix factorisation for hyperspectral unmixing
Authors: Li Xue , Cao Sifan , Huang Dan , Zhang Ming , Li Yiwei 
Published: December 2022

AbstractAdvances have been achieved in hyperspectral unmixing using the existing manifold Non‐negative Matrix Factorisation methods, although most of these methods only exploit the preliminary structural information, that is, the nearest neighbour graph. Consequently, the performance of these methods would be degraded when considering only the geometrical structure due to the diverse distribution of the hyperspectral data, that is, the close pixels could belong to different categories or the distant points could be sampled from the same classes. In this context, the present study worked from the perspective of both global and local data relationships to develop and propose a novel approach—the Global centralised and Structured discriminative Non‐negative Matrix Factorisation (GSNMF)—to achieve a further effective representation of hyperspectral unmixing. GSNMF involved maintaining the global centralised clustering and the local structured discriminative regularisation, based on which it could perfectly mine the structure information and drive a discriminative representation of the data. Experiments comparing the application of GSNMF and the state‐of‐the‐art methods to synthetic data demonstrated the superiority of GSNMF. In addition, the consistency of the fractional abundances obtained using GSNMF with the real distributions of spectral data was evaluated on two real‐world datasets.
Optimal adjustment of control parameters in short‐term operational planning of power systems based on cost‐effective security solutions
Authors: Hashemi Sina , Lesani Hamid , Aghamohammadi Mohammad Reza 
Published: December 2022

AbstractInterference amongst stability phenomena has been raising concerns due to the potential maladjustment of control parameters in large‐scale and interconnected power systems. In consequence of such interference, power system security is threatened. In order to preclude any inconsistency and ensure maximum security, a comprehensive study needs to be carried out in short‐term operational planning concentrating on the determination of an economic operating point with enhanced static and dynamic security. In this paper, an integrated approach with incorporation of voltage and rotor‐angle stabilities into the optimal operation of power system is proposed. This study is based on a many‐objective optimisation problem providing a cost‐effective security solution prior to real‐time operation whereby the operating point of power system is maximally secure and economic. The output of the proposed approach is a vector of adaptively adjusted control parameters consisting of terminal voltage and active power of generating units, reactive power of SVCs, and tap position of transformers. In addition, active power production and reactive power opportunity costs, static, and dynamic security criteria constitute the vector of objective functions with eight elements. The performance of the approach is assessed in several scenarios including various load patterns and different power limits of generators.
Rigid/flexible molecular structure‐induced polyimide aerogels with ultralow permittivity and thermal insulation properties
Authors: Dong Xiaodi , Wan Baoquan , Qiu Lin , Zheng Ming‐Sheng , Gao Jiefeng , Zha Jun‐Wei 
Published: December 2022

AbstractA series of high‐performance linear and cross‐linked polyimide (PI) aerogels with different molecular structures have been successfully synthesised using the freeze‐drying process. In this study, the comprehensive regulation of microstructure, thermodynamic, thermal insulation and dielectric properties of PI aerogels are achieved by controlling the rigid/flexible structure and composition of polymerised monomers. The increase in rigidity of PI molecular structure could promote the formation of denser pores, which is beneficial to improve the thermodynamic and thermal insulation properties of aerogels. Notably, the cross‐linked PI aerogel prepared by introducing cross‐linking agent (tris(4‐aminophenyl) amine, [TPA]) into linear PI exhibits high thermal stability (Td5% > 560°C), excellent ultralow permittivity (εr = 1.31, f = 106 Hz) and good thermal insulation property (k = 0.056 W/m · K). This innovative strategy promotes the wider application of the cross‐linked polyimide aerogel in the field of integrated circuits and aerospace exploration.
A non‐isolated symmetrical design of voltage lift switched‐inductor boost converter with higher gain and low voltage stress across switches
Authors: Samiullah Md , Siddique Marif Daula , Iqbal Atif , Maroti Pandav Kiran , Banerjee Subrata 
Published: December 2022

AbstractThe DC–DC converters have to be characterized by high gain, low voltage stress, small size, and high efficiency for most of the applications including fuel cell and photovoltaic integration to microgrid. However, conventional, quadratic, interleaved, three‐level and cascaded boost converters are not able to satisfy the requirements. This letter proposes a new, non‐isolated DC–DC converter with switched‐capacitor and switched‐inductors that can achieve high‐gain, wide‐ranging input‐voltage, and low‐voltage stress across the switches. This paper analyses the operating principle, the design of component parameters and comparisons with other high‐gain converters. Experimental results for 22 V/400 V, 50 kHz prototype finally verifies the proposed converter with a voltage gain of 19.
Performance analysis of deep neural networks for direction of arrival estimation of multiple sources
Authors: Chen Min , Mao Xingpeng , Wang Xiuhong 
Published: December 2022

AbstractRecently, popular machine learning algorithms have successfully been applied to the direction of arrival (DOA) estimation. An implementation of determination of DOA estimation is presented based on deep neural networks (DNNs) to reduce the computational complexity of traditional superresolution DOA estimation methods. The classical DOA estimation algorithms have limitations due to unforeseen effects, such as array perturbations. Instead of computing an inverse mapping based on the incomplete forward mapping that relates the signal directions to the array outputs, the DOA problem is approached as a mapping, which can be approximated using a suitable DNN trained with input output pairs. The neural network architecture is based on a multilayer perception and a group of parallel DNNs to perform detection and DOA estimation, respectively. Simulation results are performed to investigate the effect of network parameters on estimation accuracy so that they can be roughly determined in the case of one signal scenario. Based on a set of simulations and experimental measurements, the performance of the optimum network is also assessed and compared to that of the classical DOA estimation methods for multiple signals. It has been shown that the proposed method can not only achieve reasonably high DOA estimation accuracy, but also dramatically reduce the computational complexity and the memory space.
Evolution of dark gaps in barred galaxies
Authors: Aguerri J. A. L. , D’Onghia E. , Cuomo V. , Morelli L. 
Published: December 2022

Context. Recent studies show that barred galaxies have a light deficit, called a dark gap (DG), in the direction of the bar minor axis with respect to the major axis. The properties of these DGs might be related to the properties of the bars and to the location of some resonances of the galaxies.
Aims. We have analyzed the evolution of the DGs properties in the barred galaxy of the GALAKOS simulation to compare them with those from real galaxies and infer conclusions about the evolutionary status of the bars.
Methods. The DGs were measured by using the bar and the interbar surface brightness profiles from the Fourier decomposition of the light of the galaxies. We characterized them by two parameters: the prominence of the DG (Δμmax), and its location in the galaxy (RDG).
Results. In the GALAKOS simulation, both Δμmax and RDG evolve with time. Thus, the DGs are more prominent and are located at larger radii as the bar evolves. In addition, RDG is smaller than the bar radius (Rb) at all time steps of the simulation, being always Rb/RDG >  1.2. About 90% of the real galaxies show Rb/RDG >  1.2 similar to the GALAKOS simulation. For these objects, the ratio of the corrotation radius (RCR) and the DG radius is RCR/RDG ≈ 1.8. This is similar to the expected ratio of the corrotation resonance (CR) and the ultraharmonic resonance (UHR) radius. This indicates a link between the DGs and the UHR of these galaxies. The remaining 10% of the galaxies show Rb/RDG <  1.2 and RCR/RDG ≈ 1. In these cases, the DG would be linked with the CR of the galaxy. We have found that the bar in GALAKOS, as well as real bars in galaxies, can be located in distinct places on the RCR/h − Rb/h plane based on the prominence of their DGs. In particular, galaxies with high values of Δμmax are located at RCR/h and Rb/h larger than 1.5. The simulated bar turned to be a slow rotator when Δμmax was larger than 0.8. When this occurs, RCR/h and Rb/h are larger than 2.0 and 1.5, respectively, for the GALAKOS bar.
Conclusions. The location of the DG seems to be a robust signature of the location of the galaxy resonances. In addition, the prominence of the DG could be used as indicators of the amount of angular momentum exchange by the bar and other galactic components. Galaxies with Δμmax >  0.8 would be candidates for slow bar rotators. In addition, flat bars would be more evolved or would have exchanged more angular momentum than exponential bars.
A ∼15 kpc outflow cone piercing through the halo of the blue compact metal-poor galaxy SBS 0335–052E
Authors: Herenz E. C. , Inoue J. , Salas H. , Koenigs B. , Moya-Sierralta C. , Cannon J. M. , Hayes M. , Papaderos P. , Östlin G. , Bik A. , Le Reste A. , Kusakabe H. , Monreal-Ibero A. , Puschnig J. 
Published: December 2022

Context. Outflows from low-mass star-forming galaxies are a fundamental ingredient for models of galaxy evolution and cosmology. Despite seemingly favourable conditions for outflow formation in compact starbursting galaxies, convincing observational evidence for kiloparsec-scale outflows in such systems is scarce.
Aims. The onset of kiloparsec-scale ionised filaments in the halo of the metal-poor compact dwarf SBS 0335−052E was previously not linked to an outflow. In this paper we investigate whether these filaments provide evidence for an outflow.
Methods. We obtained new VLT/MUSE WFM and deep NRAO/VLA B-configuration 21 cm data of the galaxy. The MUSE data provide morphology, kinematics, and emission line ratios of Hβ/Hα and [O III]λ5007/Hα of the low surface-brightness filaments, while the VLA data deliver morphology and kinematics of the neutral gas in and around the system. Both datasets are used in concert for comparisons between the ionised and the neutral phase.
Results. We report the prolongation of a lacy filamentary ionised structure up to a projected distance of 16 kpc at SBHα = 1.5 × 10−18 erg s cm−2 arcsec−2. The filaments exhibit unusual low Hα/Hβ ≈ 2.4 and low [O III]/Hα ∼ 0.4 − 0.6 typical of diffuse ionised gas. They are spectrally narrow (∼20 km s−1) and exhibit no velocity sub-structure. The filaments extend outwards from the elongated H I halo. On small scales, the NHI peak is offset from the main star-forming sites. The morphology and kinematics of H I and H II reveal how star-formation-driven feedback interacts differently with the ionised and the neutral phase.
Conclusions. We reason that the filaments are a large-scale manifestation of star-formation- driven feedback, namely limb-brightened edges of a giant outflow cone that protrudes through the halo of this gas-rich system. A simple toy model of such a conical structure is found to be commensurable with the observations.
Editorial
Authors: Huber Gerhard 
Published: December 2022

Liebe Leserinnen und Leser,das „Journal of the American Medical Association“, eines der
Flaggschiffe der Medizinwelt, veröffentlicht regelmäßig eine
Liste der meistgelesenen Artikel. Im Jahr 2019, das letzte Jahr ohne Corona, finden
sich in den Top Ten drei Artikel mit dem Thema Bewegung.
Digitalisierung im DVGS
Authors: Streber René , Diefenbach Karolin , Steffen Martin , Peters Stefan 
Published: December 2022

ZusammenfassungDer Megatrend der Digitalisierung verändert viele Bereiche des
täglichen Lebens. Er verändert auch das deutsche Gesundheitswesen,
bringt vielfältige neue Leistungen und Gesundheitsangebote sowie
Begrifflichkeiten mit sich, während gleichzeitig ein Handlungsbedarf zur
Förderung der digitalen Gesundheitskompetenz der Bevölkerung
besteht.Diese Entwicklungen haben auch einen prägenden Einfluss auf den DVGS. Zur
Qualitätssicherung und Professionalisierung und im Einklang mit den
satzungsgemäßen Zielen wurde dieses Themenfeld fest in den
Verbandsstrukturen verankert. In diesem Zusammenhang wird ein strukturiertes
Vorgehen zur Planung, Steuerung und Evaluation der Digitalisierung des Verbands
entwickelt (Digitalisierungsstrategie).Der vorliegende Artikel gibt einen Überblick über wesentliche
Maßnahmen dieser Digitalisierungsstrategie in Bezug auf die bedeutenden
Tätigkeitsbereiche des DVGS wie das Lehrgangswesen, Betriebliche
Gesundheitsförderung, Prävention, Gremienarbeit und die
sport-/bewegungstherapeutische Versorgung. Weitere
Digitalisierungsmaßnahmen (etwa in der Mitgliederverwaltung und im
Mitgliederservice) sind ab dem kommenden Jahr geplant.
Versorgungsnahe Daten für Versorgungsanalysen – Teil
3 des Manuals
Authors: Veit Christof , Bierbaum Thomas , Wesselmann Simone , Stock Stephanie , Heidecke Claus-Dieter , Apfelbacher Christian , Benz Stefan , Dreinhöfer Karsten E. , Hauptmann Michael , Hoffmann Falk , Hoffmann Wolfgang , Kaiser Thomas , Klinkhammer-Schalke Monika , Koller Michael , Kostuj Tanja , Ortmann Olaf , Schmitt Jochen , Schünemann Holger , Geraedts Max 
Published: December 2022

ZusammenfassungAnalysen zur Gesundheits- und Krankenversorgung (im Folgenden
„Versorgungsanalysen“) haben meist das Ziel, die Strukturen,
Prozesse, Ergebnisse und Wirkzusammenhänge von Versorgung transparent zu
machen und den Zielerreichungsgrad von Gesundheitssystemen und ihrer Akteure zu
erfassen. Versorgungsnahe Daten sind für viele Versorgungsanalysen eine
unverzichtbare Datenquelle. Voraussetzung für die
Überprüfung eines Zielerreichungsgrads ist zunächst eine
Einigung auf diejenigen Ziele, die vom System erreicht werden sollen, sowie die
Identifikation der Determinanten der Zielerreichung. Es geht vor allem darum zu
prüfen, wie sicher, effektiv und patient:innenzentriert Systeme,
Einrichtungen und Leistungserbringer arbeiten. Dabei werden auch Fragen des
Bedarfs, der Zugänglichkeit, Inanspruchnahme, Rechtzeitigkeit,
Angemessenheit, Patient:innensicherheit, Koordination, Kontinuität sowie
gesundheitsökonomischen Effizienz und Gerechtigkeit der
Gesundheitsversorgung thematisiert. Die Ergebnisse der Gesundheitsversorgung
bzw. der Systemkomponenten umfassen einerseits Systemleistungen (Outputs) und
andererseits Ergebnisse (Outcomes). Dabei sind die selbst berichteten Ergebnisse
(patient-reported outcomes, PROs) und Erfahrungen (patient-reported experiences,
PREs) von besonderer Bedeutung. Konkret geht es um die Grundfragen: wer macht
was, wann, wie, warum und mit welchen Ressourcen und Effekten in der
gesundheitlichen Routineversorgung. Versorgungsanalysen stellen die notwendigen
Erkenntnisse und Kennzahlen bereit, um Gesundheitsversorgung weiterentwickeln
und die Qualität der Versorgung verbessern zu können. Die
Anwendungsgebiete reichen von Kapazitätsanalysen über
Innovationsbegleitung bis hin zum Konzept des Monitoring regionaler und
überregionaler Systemqualität. Angesichts der zunehmenden
Digitalisierung im Gesundheitswesen stehen künftig versorgungsnahe Daten
vermehrt für Versorgungsanalysen zur Verfügung. Gezielt und
methodisch korrekt eingesetzt können diese die Versorgenden erheblich
unterstützen und damit die Versorgungsqualität für die
Patient:innen entscheidend verbessern helfen. Versorgungsnahe Daten haben ein
großes Potential. Ihre Anwendung bedarf aber der gleichen
wissenschaftlichen Akribie, die auch für andere Formen
wissenschaftlicher Studien gilt.
Comparative Investigation of Electrocatalytic Oxidation of Cyclohexene by Proton-Exchange Membrane and Anion-Exchange Membrane Electrolyzers
Authors: Shida Naoki , Atobe Mahito , Ido Yuto , Shimizu Yugo 
Published: December 2022

AbstractElectrocatalytic oxidation of cyclohexene was performed in proton-exchange membrane (PEM) and anion-exchange membrane (AEM) electrolyzers. For the efficient electrocatalytic oxidation, the anode catalyst material, applied potential, and solvent used were optimized. In addition, the differences in reactivity between the PEM and AEM electrolyzers were clarified and a mechanism for the oxidation of cyclohexene in each electrolyzer was proposed.
Acromioclavicular Joint Injury and Repair
Authors: Baren James P. , Rowbotham Emma , Robinson Philip 
Published: December 2022

AbstractThe acromioclavicular (AC) joint is commonly injured in athletes participating in contact and overhead throwing sports. Injuries range from simple sprains to complete ligamentous disruption, and they are classified by the established Rockwood grading system. High-grade injuries are associated with fractures around the AC joint and disruption of the superior shoulder suspensory complex, a ring of osseous and ligamentous structures at the superior aspect of the shoulder. Radiographs are the mainstay of imaging of the AC joint, with magnetic resonance imaging reserved for high-grade injuries to aid classification and plan surgical management. Low-grade AC joint injuries tend to be managed conservatively, but a wide range of surgical procedures have been described for higher grade injuries and fractures around the AC joint. This review illustrates the anatomy of the AC joint and surrounding structures, the imaging features of AC joint injury, and the most commonly performed methods of reconstruction and their complications.
Total Synthesis of Patulone: A Natural Xanthonoid Possessing a Geminally Diisoprenylated Structure
Authors: Matsumoto Takashi , Kobayashi Ryouma , Watabe Yu , Fujimoto Yuuki , Yanai Hikaru 
Published: December 2022

AbstractThe first total synthesis of patulone, a plant metabolite possessing a unique 1,1-diisoprenyl-1H-xanthene-2,9-dione structure, is described. Starting from a 1-fluroxanthone derivative with suitable substitution pattern, the pivotal gem-diisoprenylation was efficiently accomplished by implementing twice the sequence of addition of isoprenyl Grignard reagent to the carbonyl at C9 and anion-accelerated oxy-Cope rearrangement.
Muscle Injury Around the Shoulder
Authors: Jacob J. , O'Connor P. , Pass B. 
Published: December 2022

AbstractAcute shoulder tendon and intra-articular injuries are common and their imaging well described. However, a subset of patients present with more unusual acute shoulder muscle injury. Of these, pectoralis major muscle injuries are encountered the most often and are increasingly prevalent due to a focus on personal fitness, particularly bench-press exercises. Other muscle injuries around the shoulder are rare. This article reviews the anatomy, mechanism of injury, and the imaging findings in relation to injuries of these muscles around the shoulder. We focus on pectoralis major injury but also review proximal triceps, latissimus dorsi, teres major, and deltoid muscle injuries, providing imaging examples.