bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conceptual Model and Content Validity of the Voice and Communication Situation Questionnaire Developed With and for Transgender and Gender-Diverse People Presumed Female at Birth
Authors: Hancock Adrienne B. , Azul David , Chennupati Sindhu , Sediqi Nicole , Nyberg Jill , Nygren Ulrika 
Published: February 2025

Purpose:

Transgender and gender-diverse (TGD) people and their communication wishes are diverse and heterogeneous, so it is important to understand the situation and goals of each person individually when they arrive for professional interventions. This article describes the development and content validation of the Voice and Communication Situation Questionnaire developed with and for TGD people presumed female at birth (VCSQ
PFAB
).

Method:
Phase 1 included a transdisciplinary literature review and an initial draft of a questionnaire designed to collect self-reports of sociocultural positioning, voice and communication function, and well-being of TGD people presumed female at birth (PFAB). Phase 2 involved collection of information and feedback on the draft questionnaire via focus groups of 31 members of the PFAB community in Germany, Sweden, and the United States.

Results:
Revisions were based on the feedback from all focus groups and consensus within the research team. Feedback highlighted the need to develop a clear approach to introducing the questionnaire to respondents and to provide support during its completion so that self-ratings and descriptions capture the client perspective regarding categories built into the questionnaire.

Conclusions:

The final draft of the VCSQ
PFAB
provides an adequate framework for a person-centered and culturally responsive approach to working with TGD people PFAB. The tool is now ready to be piloted in clinical settings and statistically analyzed for further psychometric properties.
Speech Perception in Noise and Cognitive Skills in Children With Varying Degrees of Music Training
Authors: Castleberry Kaylee , Amato Alexandra , Benítez-Barrera Carlos R. 
Published: February 2025

Purpose:
This registered report aimed to replicate previous findings showing that years of music training predicts speech-perception-in-noise (SPIN) skills in children. In addition, it aimed to investigate whether the musician SPIN advantage is influenced by cognitive factors such as general intelligence or working memory.

Method:
Following planned sample size estimations and analyses, 62 school-age children with varying degrees of music training participated in the study. Children's general intelligence quotients, working memory, and SPIN skills were assessed during one visit to our laboratory. We implemented hierarchical multiple regression analyses to examine the study aims.

Results:
Our regression analyses indicated that years of instrument training did not significantly account for variance in SPIN skills. The explanatory power of our model was enhanced only when working memory, particularly auditory working memory, was included as a predictor. Auditory working memory was associated with both SPIN skills and years of instrument training.

Conclusions:
Our study was unable to replicate previous findings that linked years of instrument training to SPIN skills in childhood. This suggests caution regarding prior claims that music training can be used with children to optimize learning in noisy environments. However, we did find evidence that musicianship is associated with enhanced auditory working memory skills, which could have positive implications for children's lifelong outcomes.

Supplemental Material:

https://doi.org/10.23641/asha.28373786
Estimating the Pathophysiology of Phonotraumatic Vocal Hyperfunction Using Ambulatory Data and a Computational Model
Authors: Parra Jesús A. , Ibarra Emiro J. , Calvache Carlos , Van Stan Jarrad H. , Hillman Robert E. , Zañartu Matías 
Published: February 2025

Purpose:

This study uses a voice production model to estimate muscle activation levels and subglottal pressure (P
S
) in patients with phonotraumatic vocal hyperfunction (PVH), based on ambulatory measurements of sound pressure level (SPL) and spectral tilt (H
1
–H
2
). In addition, variations in these physiological parameters are evaluated with respect to different values of the Daily Phonotrauma Index (DPI).

Method:
The study obtained ambulatory voice data from patients diagnosed with PVH and a matched control group. To infer physiological parameters, ambulatory data were mapped onto synthetic data generated by a physiologically relevant voice production model. Inverse mapping strategies involved selecting model simulations that represented ambulatory distributions using stochastic (random) sampling weighted by probability with which different vowels occur in English. A categorical approach assessed the relationship between different values of DPI and changes in estimated physiological parameters.

Results:

Results showed significant differences between the PVH and control groups in key parameters, including statistical moments of H
1
–H
2
, SPL, P
S
, and muscle activity of lateral cricoarytenoid (LCA) and cricothyroid (CT) muscles. Higher DPI values, reflecting more severe PVH, were associated with increased mean LCA activation and decreased LCA variability, along with decreased mean CT activation and increased median P
S
. These findings highlight the relationship between muscle activation patterns, P
S
, and the severity of vocal pathology as indicated by the DPI. It is hypothesized that a major driver of muscle activation and P
S
changes is the variation in maladaptive adjustments (vocal effort) when compensating for the presence of vocal pathology.

Conclusions:
This study demonstrated that noninvasive ambulatory voice data could be used to drive a voice production modeling process, providing valuable insights into underlying physiological parameters associated with PVH. Future research will focus on refining the predictive power of the modeling process and exploring the implications of these findings in further delineating the etiology and pathophysiology of PVH, with the ultimate goal to develop improved methods for the prevention, diagnosis, and treatment of PVH.

Supplemental Material:

https://doi.org/10.23641/asha.28352720
Hearing Early Opens More Doors: Long-Term Effects of Age at Implantation on Metaphor Comprehension in Adolescents and Young Adults With Cochlear Implants
Authors: Dahlby-Skoog Malin , Kalandadze Tamara , Karltorp Eva , Lyxell Björn , Löfkvist Ulrika 
Published: February 2025

Purpose:
There is solid evidence that an early age at cochlear implantation, which reduces the period of auditory deprivation, positively impacts early spoken language development. However, there is an urgent need for more research to understand the long-term effects of early implantation on higher linguistic skills, such as metaphor comprehension. In this study, we explored metaphor comprehension in Swedish-speaking adolescents and young adults with cochlear implant (CI), compared to that of typically hearing peers, as well as its relationship with the age at first CI.

Method:

The participants consisted of 39 individuals who received CI before 30 months of age (
M
age
= 16.9 years, mean age at implant = 15.7 months) and a group of 27 individuals with typical hearing (
M
age
= 14.9 years). To assess metaphor comprehension, we developed a multiple-choice task that was administrated verbally. Standardized tests were used to evaluate vocabulary, reading skills, and nonverbal cognitive skills.

Results:
No significant differences were found in metaphor comprehension or other linguistic or cognitive skills between individuals with CI and the typically hearing peers. Further analysis indicated a moderate negative correlation between metaphor comprehension and age at implantation and other linguistic skills.

Conclusions:
Early-implanted children develop metaphor comprehension comparable to their typically hearing peers, with earlier age at implantation being associated with better metaphor comprehension in adolescence. However, age at implantation only partially explains the variation in metaphor comprehension abilities. Further research is needed to identify other factors that influence the development of metaphor comprehension in individuals with CI.
Localizing short-period pulsations in hard X-rays and γ-rays during an X9.0 flare
Authors: Li Dong 
Published: February 2025

Context. The feature of quasi-periodic pulsations (QPPs) is frequently observed in the light curve of solar and stellar flares. However, the short-period QPP is rarely reported in the high energy range of hard X-rays (HXRs) and γ-rays.
Aims. We investigated the QPP at a shorter period of about 1 s in high-energy channels of HXRs and γ-ray continuum during an X9.0 flare on October 3, 2024 (SOL2024-10-03T12:08).
Methods. The X9.0 flare was simultaneously measured by the Hard X-ray Imager (HXI), the Konus-Wind (KW), and the Spectrometer/Telescope for Imaging X-rays (STIX). The shorter period was determined by the fast Fourier transform with a Bayesian-based Markov Chain Monte Carlo and the wavelet analysis method. The HXR images were restructured from HXI and STIX observations.
Results. The flare QPP at a shorter period of about 1 s was simultaneously observed in HXI 20–50 keV, 50–80 keV, and 80–300 keV, and KW 20–80 keV, 80–300 keV, and 300–1200 keV during the impulsive phase of the white-light flare. The restructured images show that the HXR sources are mainly separated into two fragments, regarding as double footpoints. Moreover, the footpoints move significantly during the flare QPP. Our results suggest that the intermittent and impulsive energy releases during the powerful flare are mainly caused by the interaction of hot plasma loops that are rooted in double footpoints.
Conclusion. We localized the flare QPP at a shorter period of about 1 s in HXR and γ-ray continuum emissions during a white-light flare, which is well explained by the interacting loop model.
Dyspnoe aufgrund hyperkeratotischer Zubildungen im perinasalen
Bereich bei einem Lama
Authors: Franz Sonja , Petring Pauline , Schlegel Katharina , Dadak Agnes , Wittek Kathleen , Wittek Thomas 
Published: February 2025

ZusammenfassungDieser Fallbericht beschreibt die klinischen Befunde, diagnostische Verfahren,
die therapeutischen Optionen und den weiteren Krankheitsverlauf bei einem Lama,
das an einer idiopathischen, nekretolytischen, neutrophilen Hyperkeratose (INNH)
im Bereich der Nase litt. Die genaue Pathogenese und Ätiologie dieser Erkrankung
ist noch unbekannt. Bis dato liegen nur wenige Berichte in der Fachliteratur
über dieses Krankheitsbild vor. Ebenso fehlen Informationen über Häufigkeit
bezüglich Auftretens dieser Erkrankung in der Neuweltkamelpopulation.Anhand dieses Fallberichtes werden die multimodalen therapeutischen Maßnahmen
(chirurgisch, medikamentös und physikalisch) sowie der Verlauf der Erkrankung
dargestellt. Es konnte eine dauerhafte klinische Verbesserung erreicht werden,
wenn auch eine vollständige Heilung nicht eintrat.
Impfnebenwirkungen bei der Katze
Authors: Weidinger Anna-Karina , Hartmann Katrin , Bergmann Michèle 
Published: February 2025

ZusammenfassungViele Besitzer haben Bedenken gegenüber Impfungen, besonders aus Sorge um
Nebenwirkungen. Der vorliegende Artikel gibt eine Übersicht über
Impfnebenwirkungen (vaccine-associated adverse events [VAAEs]), die bei Katzen
beschrieben sind. Zu den bei Katzen am häufigsten beobachteten VAAEs gehören
milde, unspezifische Symptome, wie ein reduziertes Allgemeinbefinden, Anorexie
und eine erhöhte Körperinnentemperatur. Solche milden systemischen Reaktionen
sind oft hinweisend für eine gute Immunantwort. Schwerwiegende VAAEs, wie
Typ-I-Hypersensitivitätsreaktion (allergische Reaktion), sind zwar sehr selten,
aber potenziell lebensbedrohlich. Sie können entweder sofort (nach wenigen
Minuten) oder mit gewisser zeitlicher Verzögerung (nach mehreren Stunden)
auftreten und müssen oft behandelt werden. Das Risiko für VAAEs steigt mit der
Anzahl der verabreichten Impfstoffkomponenten pro Besuch. So sollte vor jeder
Impfung eine Nutzen-Risiko-Analyse durchgeführt und die Anzahl der Impfungen pro
Besuch sollten so gering wie möglich gehalten werden. Antikörpermessungen dienen
dazu, die Notwendigkeit von Wiederholungsimpfungen, zumindest gegen
Panleukopenie bei adulten Katzen, zu prüfen (Wiederholungsimpfung nur bei Fehlen
von Antikörpern). Aber auch Langzeitfolgen von Impfungen spielen bei der Katze
eine Rolle. Die bei der Katze gravierendste VAAE ist das feline
Injektionsstellen-assoziierte Sarkom (FISS), welches sich an der
Injektionsstelle nach Impfungen oder anderen Medikamenten entwickeln kann. Die
Pathogenese von FISS ist noch nicht vollständig geklärt. Weiterhin konnten
Studien einen gewissen Zusammenhang zwischen (häufigen) Impfungen und
chronischer Nierenerkrankung bei Katzen feststellen; ein eindeutiger
Kausalitätsnachweis fehlt allerdings. Aus all diesen Gründen sollte auf unnötige
Impfungen verzichtet werden. Es gilt: so wenig wie möglich, aber nur so viel wie
nötig zu impfen.
Gastrointestinale Stromatumoren – bessere Therapieplanung mit KI?
Authors: Simon Annika 
Published: February 2025

ZusammenfassungObgleich aktuelle Leitlinien eine adjuvante Imatinib-Therapie für viele Patient*innen mit gastrointestinalen Stromatumoren (GIST) empfehlen, bleibt die optimale Behandlungsdauer bis heute weitestgehend unbekannt. Bertsimas et al. wollten an dieser Stelle Wissenslücken schließen und haben sich auf der Suche nach der besten Therapielänge und nach einer geeigneten Patient*innengruppe die Methoden der künstlichen Intelligenz (KI) zunutze gemacht.
Kolonkarzinom: Sicherheit und Wirksamkeit adjuvanter Chemotherapie bei Älteren
Authors: Simon Annika 
Published: February 2025

ZusammenfassungEtwa 25 % aller Patient*innen mit Kolonkarzinom befinden sich zum Zeitpunkt der Erstdiagnose bereits im fortgeschrittenen Stadium III und sind nicht selten bereits über 70 Jahre alt. Gallois et al. wollten in diesem Zuge prüfen, inwieweit eine adjuvante Chemotherapie auf Basis von Oxaliplatin in dieser Altersgruppe sicher und wirksam ist, und haben eine Analyse von 12 Studien vorgelegt.
GeSeTe-based OTS selector integrated with ReRAM for high-density 1S-1R memory arrays
Authors: Seo Hyun Kyu , Lee June Hyuk , Yang Min Kyu 
Published: February 2025

In this study, we developed a high-performance binary Ovonic Threshold Switching (OTS) selector based on GeSeTe and a resistive random access memory (ReRAM) device based on TaOx. These were integrated into a 1 Selector-1 ReRAM (1S-1R) architecture to address challenges in high-density memory and advanced computing. The GeSeTe-based OTS selector exhibited a high switching ratio (Ion/Ioff &gt; 105), ultra-low off-current (∼1 nA), and fast switching speed (&lt;10 ns), while the TaOx-based ReRAM achieved a high on/off ratio (&gt;20), rapid switching (100 ns), excellent endurance (&gt;109 cycles), and stable retention at 125 °C. The integrated 1S-1R structure effectively suppressed leakage currents using a 1/2 bias scheme and was scaled to a 1 kb X-point memory array. The array demonstrated stable conductance distribution and efficient multiply-and-accumulate operations, with consistency between experimental and theoretical results validating its scalability and reliability. This work highlights the potential of the 1S-1R architecture for next-generation memory and neuromorphic systems, providing a scalable, energy-efficient solution for data-intensive applications by leveraging the complementary strengths of GeSeTe-based OTS selectors and TaOx-based ReRAM devices.
Accurate prediction of electron correlation energies of topological atoms by delta learning from the Müller approximation
Authors: Bandyopadhyay Prasanta , Isamura Bienfait K. , Popelier Paul L. A. 
Published: February 2025

FFLUX is a polarizable machine-learning force field that deploys pre-trained kernel-based models of quantum topological properties in molecular dynamics simulations. Despite a track record of successful applications, this unconventional force field still uses Lennard-Jones parameters to account for dispersion effects when performing in-bulk simulations. However, optimal Lennard-Jones parameters are system-dependent and not easy to calibrate. Fortunately, physics-informed dispersion energies can be obtained from the two-particle density matrix (2PDM) of any system using correlated wavefunctions. The only challenge is that the 2PDM is a humongous object whose calculation is very time-consuming and memory-greedy. In this proof-of-concept study, we utilize the Δ-learning method to address both problems using a small set of water trimers. More specifically, we obtain pure two-electron correlation energies with the aug-cc-pVDZ basis set at the cost of Müller-approximated 2PDM calculated at a very small basis set, 6-31+G(d). We also benchmark different Δ-learning tasks designed by changing the baseline and target method and/or the basis set. Our experiments suggest that two-electron correlation energies of weakly relaxed water trimers can be accurately predicted via Δ-learning with a maximum absolute error of 1.30 ± 0.32 kJ/mol traded against a colossal computational speed-up of roughly 40 times.
Local coordinates and motion of a test particle in the McVittie spacetime
Authors: Jayswal Vishal , Kopeikin Sergei 
Published: February 2025

Abstract
We consider the orbital motion of a test particle in the gravitational field of a massive body (that might be a black hole) with mass $m$ placed on the expanding cosmological manifold described by the McVittie metric. We introduce the local coordinates attached to the massive body to eliminate nonphysical, coordinates-dependent effects associated with Hubble expansion. The resultant equation of motion of the test particle are analyzed by the method of osculating elements with application of time-averaging technique. We demonstrate that the orbit of the test particle is not subject to the cosmological expansion up to the terms of the second order in the Hubble parameter. However, the cosmological expansion causes the precession of the orbit of the test particle with time and changes the frequency of the mean orbital motion. We show that the direction of motion of the orbital precession depends on the Hubble parameter as well as the deceleration parameter of the universe. We give numeric estimates for the rate of the orbital precession with respect to time due to the cosmological expansion in case of several astrophysical systems.
Terrestrial mobile gravimetry using a temperature stabilized IMU
Authors: Akdoğan Yunus Aytaç , Durmaz Murat , Yildiz Hasan 
Published: February 2025

Abstract
Terrestrial mobile gravimetry using temperature-stabilized inertial measurement units (IMUs) is emerging as an efficient technique for acquiring high-accuracy gravity data in dynamic environments. This study explores the integration of the iCORUS-2 IMU system with GNSS along the Cebeci-Elmadağ route in Ankara, Türkiye. The iTempStab technology was incorporated into the iCORUS-2 system to stabilize temperature variations to enhance the accuracy of gravity measurements. Notably, this research represents the results of vehicle-based terrestrial mobile gravimetry using a thermally stabilized IMU. An extended Kalman filter (EKF) was applied to integrate IMU and GNSS data. The advantage of terrestrial mobile gravimetry over airborne methods is the ability to make static updates for vertical gravity, zero gravity gradient and zero velocity measurements, which can be introduced into the EKF as measurement updates. The method was tested by analysing the statistical impact of these updates at varying intervals: without any gravity measurement updates, and by applying updates at approximately 2 km, 3 km, 4 km, 5 km, 6 km, and 7 km intervals. Results indicated that without updates, a root mean square error (rmse) value between external terrestrial gravity data and mobile gravimetry estimates is 1.362 mGal. However, with updates at approximately 2 km intervals, the rmse value significantly decreased to 0.948 mGal, representing a %30.4 reduction in rmse and achieving sub-mGal accuracy. The inclusion of temperature stabilization and frequent gravity measurement updates demonstrated a marked improvement in data accuracy and consistency. These advancements not only validate the potential of mobile gravimetry for geophysical surveys but also broaden its applications in fields requiring precise gravity data acquisition.
Roadmap on embodying mechano-intelligence and computing in functional materials and structures
Authors: Alu Andrea , Arrieta Andres F , Del Dottore Emanuela , Dickey Michael D , Ferracin Samuele , Harne Ryan L , Hauser Helmut , He Qiguang , Hopkins Jonathan Brigham , Hyatt Lance , Li Suyi , Mariani Stefano , Mazzolai Barbara , Mondini Alessio , Pal Aniket , Preston Daniel J , Rajappan Anoop , Raney Jordan R. , Reis Pedro , Sarles Stephen Andrew , Sitti Metin , Ubamanyu Uba K. , Hecke Martin van , Wang Kon-Well 
Published: February 2025

Abstract
This is a roadmap article with multiple contributors on different aspects of embodying intelligence and computing in the mechanical domain of functional materials and structures. Overall, an IOP roadmap article is a broad, multi-author review with leaders in the field discussing the latest developments, commissioned by the editorial board. The intention here is to cover various topics of adaptive structural and material systems with mechano-intelligence in the overall roadmap, with twelve sections in total. These sections cover topics from materials to devices to systems, such as computational metamaterials, neuromorphic materials, mechanical and material logic, mechanical memory, soft matter computing, physical reservoir computing, wave-based computing, morphological computing, mechanical neural networks, plant-inspired intelligence, pneumatic logic circuits, intelligent robotics, and embodying mechano-intelligence for engineering functionalities via physical computing. In this paper, we view all the 2-page sections with equal contributions to the overall roadmap article and thus list the authorship on the front page via alphabetical order of their last names. On the other hand, for each individual section, the authors decide on their own the order of authorship. &#xD;
Design of a large-stroke compliant gripper with position and force sensing for precision grasping
Authors: Sun Xiantao , Tang Zhouzheng , Yang Shang , Zhu Yonghui , Deng Qiuwang , Chen Weihai 
Published: February 2025

Abstract
Precise grasping using compliant grippers is a crucial step in many micro/nano manipulations, which require grippers to exhibit excellent static and dynamic performances. This paper presents a novel piezoelectric-driven compliant gripper with position and force sensing. A series structure that combines a differential amplification mechanism with a Scott-Russell mechanism is introduced to enhance the grasping stroke (GS). To ensure linear motion of the jaws, a series–parallel hybrid parallelogram mechanism is employed. Analytical models for the motion amplification ratio, input stiffness, and natural frequency of the proposed gripper are developed based on the pseudo-rigid body model. Structural optimization is conducted using the response surface method to determine the geometrical parameters of the gripper. Finite element simulations are performed to assess both static and dynamic performance. A prototype of the gripper has been fabricated for open-loop and closed-loop performance tests. Experimental results demonstrate that the gripper exhibits a large GS, high positioning and grasping accuracy, and high natural frequency, which indicates its significant potential for applications in micro/nano manipulations.