bluuebunny/crossref_metadata_2025_split huggingface dataset:
Developing a Profile of Canadian Children With Cerebral Palsy Who Require Augmentative and Alternative Communication
Authors: Coan-Brill Juno , Costigan Frances Aileen , Kay Jessica , Stadskleiv Kristine , Batorowicz Beata , Chau Tom , Geytenbeek Johanna , Grahovac Danijela , Hopmans Sarah , Cunningham Barbara Jane 
Published: January 2025

Purpose:
Cerebral palsy (CP) is the most prevalent motor disability affecting children. Many children with CP have significant speech difficulties and require augmentative and alternative communication (AAC) to participate in communication. Despite demonstrable benefits, the use of AAC systems among children with CP remains constrained, although research in Canada is lacking.

Method:

Data were collected as part of an exploratory survey of Canadian caregivers and clinicians (
N =
60) who shared their perspectives on children's need for, access to, and use of AAC systems. Quantitative data were summarized using descriptive statistics. Qualitative data were analyzed using inductive content analysis.

Results:
Caregivers and clinicians reported high rates of need for AAC systems (> 75%) among children with CP. Both groups reported that access was roughly equivalent to need, although caregiver reports were lower. Despite high rates of need and access, only 38% of children used AAC systems. Children who used AAC primarily used high-tech systems, mostly to make choices, rather than engaging in meaningful reciprocal interactions and conversations.

Conclusions:
Canadian children with CP who required AAC systems generally received them. However, AAC systems were not used to their full potential, suggesting limited participation in social and learning situations. Like reports on other pediatric populations, barriers to obtaining AAC systems related to service, family, and child-specific factors. Although our sample captured the complexity present in the CP population, sample sizes were small and unlikely to be representative of the population of Canada, indicating the need for further research on a national scale.

Supplemental Material:

https://doi.org/10.23641/asha.28229720
A 6‐b 875‐MS/s SAR ADC with charge‐pump based pipelined background metastability calibration
Authors: Park Yunkuk , Park Se‐Ung , Chun Jung‐Hoon 
Published: January 2025

AbstractMetastability in successive‐approximation register analogue‐to‐digital converters (ADCs) degrades the ADC's signal‐to‐noise and distortion ratio and causes error propagation through the digital equalizers of ADC‐based receivers. To mitigate these issues, a charge‐pump‐based successive‐approximation register metastability calibration method is proposed. This approach operates independently of a fixed voltage or time reference. The calibration process is executed in the background with pipelining, requiring minimal additional power. Comprehensive testing shows that the proposed calibration consistently enhances ADC SNDR and reduces the code error rate across a wide range of sampling rates.
A closer look at LTT 9779b:The ESPRESSO endeavour to pierce the atmospheric veil
Authors: Ramírez Reyes R. , Jenkins J. S. , Sedaghati E. , Seidel J. V. , Pavlenko Y. , Palle E. , López-Morales M. , Alves D. , Vines J. , Peña R P. A. , Díaz M. R. , Rojo P. 
Published: January 2025

Context. The proliferation of exoplanet discoveries, particularly within such exotic environments as the Neptune desert, challenges our understanding of planetary atmospheres undergoing intense irradiation. The unexpected discovery of LTT 9779 b, an ultra-hot Neptune deep within this desert offers a prime opportunity for in-depth atmospheric studies. This research builds upon previous observations of LTT9779b from space-based telescopes, including the Transiting Exoplanet Survey Satellite (TESS), Spitzer Space Telescope, and CHaracterising ExOPlanet Satellite (CHEOPS), while incorporating new observations from the Very Large Telescope’s (VLT) Echelle SPectrograph for Rocky Exoplanet and Stable Spectroscopic Observations (ESPRESSO) instrument to delve deeper into the atmospheric dynamics of this intriguing exoplanet. Preliminary analyses suggest a metal-rich atmosphere alongside a notably high day-side geometric albedo that may imply the existence of silicate clouds. Furthermore, there appears to be minimal atmospheric escape, presenting intriguing contrasts to existing models of planetary evolution and atmospheric behaviour under extreme irradiation.
Aims. We aim to contribute to the broader understanding of atmospheric compositions and the mechanisms behind the survival of atmospheres in the Neptune desert through detailed spectroscopic analysis. We started by obtaining the transmission spectrum of LTT9779 b between 0.4 and 0.78 micrometres with ESPRESSO on the VLT.
Methods. Our analysis addressed systematics in ESPRESSO data across three distinct transit events, focusing on the sodium doublet and hydrogen alpha (Hα). We also used the cross-correlation method with models that contain Na, K, FeH, TiO, and VO
Results. No statistically significant atmospheric signal was detected, with lower limits placed on the atmospheric metallicity established at [Fe/H] ≥ 2.25, which is ≥ 180× solar. The non-detection is aligned with a high metallicity atmosphere scenario in a cloud-free model, suggesting a high mean molecular weight and a reduced atmospheric scale height.
Conclusions. We interpret the lack of any detection as evidence to support a very high metallicity for the planet’s atmosphere. This would give rise to a high mean molecular weight and, hence, a low atmospheric scale height, rendering any signal too weak to be detected. Another possibility is the presence of high-altitude clouds or hazes that would suppress any signal from elements deeper in the atmosphere. These findings are consistent with recent consistent with recent James Webb Space Telescope (JWST) observations, which also report muted spectral features and suggest a high-metallicity atmosphere with clouds at high altitudes. Our results, together with those from JWST, support the hypothesis of a metal-rich atmosphere possibly obscured by clouds or hazes.
VBMicroLensing: Three algorithms for multiple lensing with contour integration
Authors: Bozza V. , Saggese V. , Covone G. , Rota P. , Zhang J. 
Published: January 2025

Context. Modeling of microlensing events poses computational challenges for the resolution of the lens equation and the high dimensionality of the parameter space. In particular, numerical noise represents a severe limitation to fast and efficient calculations of microlensing by multiple systems, which are of particular interest in exoplanetary searches.
Aims. We present a new public code built on our previous experience on binary lenses that introduces three new algorithms for the computation of magnification and astrometry in multiple microlensing.
Methods. In addition to the classical polynomial resolution, we introduce a multi-polynomial approach in which each root is calculated in a frame centered on the closest lens. In addition, we propose a new algorithm based on a modified Newton-Raphson method applied to the original lens equation without any numerical manipulation.
Results. These new algorithms are more accurate and robust compared to traditional single-polynomial approaches at a modest computational cost, opening the way to massive studies of multiple lenses. The new algorithms can be used in a complementary way to optimize efficiency and robustness.
83-Jährige mit Angina pectoris, Hämoglobinurie und Ikterus
Authors: Dickmann Franziska , Janssens Uwe 
Published: January 2025

ZusammenfassungEine 83-jährige Patientin wurde mit pectanginösen Beschwerden, Hämoglobinurie und Ikterus vorstellig. Nachdem sich die Labordiagnostik aufgrund einer Hämolyse in allen Blutröhrchen erschwert gestaltete, wurden diese gewärmt ausgewertet.Bei erniedrigtem Haptoglobin, erhöhter Laktatdehydrogenase und erhöhtem indirekten Bilirubin stellten wir die Verdachtsdiagnose einer autoimmunhämolytischen Anämie mit Kälteantikörpern, welche bei positivem Coombs-Test und Nachweis von C3d-beladenen Erythrozyten bestätigt werden konnte. Komplikativ zeigte sich ein NSTEMI Typ 2 im Rahmen der Hämolyse sowie eine akute Nierenschädigung. Als Auslöser der AIHA wurde eine Proteus mirabilis-Bakteriämie diagnostiziert.Nach Behandlung des zugrundeliegenden Infekts und hochdosierter Therapie mit Prednisolon waren die Hämolyseparameter rückläufig und die Patientin konnte in die ambulante hämatologische Weiterbehandlung entlassen werden.Die interdisziplinäre und die multiprofessionelle Zusammenarbeit mit dem Laborpersonal und der Transfusionsmedizin sind sowohl für eine zügige Diagnosestellung als auch die weitere Therapie entscheidend. Bluttransfusionen sollten bei AIHA nur nach strenger Indikationsstellung erfolgen.
Development of a Genetic Test Indicating Increased AVP/V1b Signalling
in Patients with Acute Depression
Authors: Ising Marcus , Holsboer Florian , Myhsok Marius , Müller-Myhsok Bertram 
Published: January 2025

AbstractA subgroup of patients with acute depression show an impaired regulation of
the hypothalamic-pituitary-adrenocortical axis, which can be sensitively
diagnosed with the combined dexamethasone (dex)/corticotropin releasing
hormone (CRH)–test. This neuropathological alteration is assumed to be a
result of hyperactive AVP/V1b signalling. Given the complicated procedure of
the dex/CRH-test, this study aimed to develop a genetic variants-based
alternative approach to predict the outcome of the dex/CRH-test in acute
depression.Using data of a representative cohort of 352 patients with severe depression
participating in the dex/CRH-test, a genome-wide interaction analysis was
performed starting with an anchor single nucleotide polymorphism located in
the upstream transcriptional region of the human V1b-receptor gene to
predict the adrenocorticotropic hormone (ACTH) response to this test. A
probabilistic neural-network-algorithm was used to develop the optimal
prediction model.Overall prediction accuracy for correctly identifying high ACTH responders in
the dex/CRH-test was 93.5% (sensitivity 90%; specificity 95%). Analysis of
pituitary RNAseq expression data confirmed that the identified genetic
interactions of the gene test translate into an interactive network of
corresponding transcripts in the pituitary gland, which is the biologically
relevant target tissue, with the aggregated strength of the transcript
interactions significantly stronger than expected from chance.The findings suggest the suitability of the presented gene test as a proxy
for hyperactive AVP/V1b signalling during an acute depressive episode,
highlighting its potential as companion test for identifying patients with
acute depression whose pathology can be optimally treated by specific drugs
targeting the AVP/V1b-signaling cascade.
A Practical and Highly Efficient Procedure for the Synthesis of the Trifluoromethylpyrazol-Derived Canonical Transient Receptor ­Potential Channel (TRPC3) Inhibitor Pyr3 and Its Derivatives
Authors: Wu Zhongzhi , Li Wei 
Published: January 2025

AbstractCanonical transient receptor potential (TRPC) channels play a variety of diverse biological functions. Among the subgroups of the TRPC family (TRPC3, TRPC6, and TRPC7), TRPC3 has been implicated in several diseases, including neurological and cardiovascular diseases, cancer, and neurodegeneration. A pyrazole-based compound Pyr3 is a selective TRPC3 channel inhibitor which is now a standard tool compound to study conditions associated with TRPC3 dysregulation. However, the reported literature syntheses of Pyr3 either provided low yield or involved microwave reactions and harsh reaction conditions. We have developed a practical and highly efficient procedure for the synthesis of Pyr3 and its derivatives in high yields which is suitable for scale-up synthesis.
Fusion of Interventional Radiology with Surgery and Endoscopy to Advance Therapies in Complex Gastrointestinal Disease
Authors: Holzwanger Daniel J. , Trikantzopolous Elefterios , Nauheim David , Chauhan Anupam S. , Milsom Jeffrey W. , Pua Bradley B. 
Published: January 2025

AbstractInterventional radiology techniques using image guidance have revolutionized healthcare by enabling less invasive approaches for “difficult-to-treat” conditions. Complex gastrointestinal (GI) conditions such as bowel obstructions, enterocutaneous fistulas, and other enteric maladies are major causes of morbidity and mortality; are rising in incidence worldwide; and may benefit from the integration of interventional radiology techniques into current surgical/endoscopic management strategies, analogous to cardiovascular interventions of the past few decades. Conservative medical management of these intestinal conditions can fail or result in extended hospital admissions and poor quality of life, while current operative management can be fraught with complications and death, especially in high-risk patients with prior abdominal surgeries. The prevalence of GI conditions requiring intervention and the potential for complications and morbidity with current methods, including laparoscopy, suggests that this is a field ripe for innovation. This article outlines an innovative approach to managing complex GI problems that we are developing at our institution, combining interventional radiological techniques with advanced surgical/endoscopic methods. Specifically, we attempt to highlight the benefits of a multidisciplinary team using advanced imaging guidance to perform novel percutaneous, endoscopic, and surgical procedures for high-surgical risk patients with intestinal problems requiring intervention.
Campus-Community Partnership for One Health: Harnessing a Semi-Urban Community’s Participatory History to Address WASH needs in Southwest Nigeria
Authors: Nwadibia Aja Godwin 
Published: January 2025

Abstract
This One Health case highlights a community-based initiative implemented by Babcock University Department of Public Health (BU-DPH), to provide access to water through campus-community collaboration. BU-DPH engaged the semi-urban community by (1) meeting with local leaders to discuss the purpose of the project and obtaining necessary permissions, (2) developing and conducting a community survey to identify the felt health needs of the people, (3) analysing the data to prioritize the top needs, (4) presenting and discussing the data with community leaders and campus authorities, (5) deflating the expectation of the community leaders that BU-DPH should address the identified need, (6) developing an inventory of their past community self-help development initiatives and achievements to elicit commitment and motivation to address the identified water need by the people, with the people, and for the people, and (7) inviting BU to contribute to the expectation of the people by installing water pipes outside the campus walls to complement the efforts of the community leaders to reduce the risk of the transmission of water-related diseases in the spirit of campus-community partnership for One Health. The initiative led to the construction of four deep wells using resources from the community, supported with additional water pumps from BU and continued education on ways and means of reducing zoonotic waterborne diseases. For sustainability, the community’s development committee (DC) provided oversight. This case illustrates how a campus-community approach implemented systematically resonated the underlying participatory history/philosophy of a community to address identified One Health need with multiplier benefits at the individual, community, and institutional levels of influence.

Information
© The Author 2025
Biological Control of Fusarium Head Blight in Cereals: Insights into Molecular Interactions within the Pathosystem
Authors: Petrucci Arianna , Sarrocco Sabrina , Jensen Birgit , Collinge David B. 
Published: January 2025

Abstract

Small cereals such as wheat, barley, and oat are staple food that directly (food) and indirectly (feed) sustain large populations globally. However, their production is increasingly threatened by both abiotic and biotic stresses. Biotic stresses, primarily caused by plant pathogen such as fungi, bacteria, oomycota and viruses are responsible for nearly half of the annual crop losses. Many plant pathogens produce mycotoxins, which contaminate crops and pose significant risks affecting human health.
Fusarium
spp., particularly those associated with Fusarium head blight (FHB) on cereal, are mycotoxin producers. The economic and health impacts of FHB make it a critical area of research. Although several strategies exist to control FHB, none can fully eradicate the disease. Challenges include pathogen resistance to chemical fungicides and regulatory restriction on genetically modified organisms (GMOs). Biological control offers a sustainable alternative, utilizing living organism to counteract pathogens. Here we explore the mechanisms of biological control based on complex molecular patterns involved during the three-way interaction between plant, pathogen and biocontrol agent. We analyze the FHB pathosystem and associated BCAs from multiple perspectives, providing a comprehensive insight to BCAs efficacy.

Information
© The Authors 2025
BSM-NET: multi-bandwidth, multi-scale and multi-modal fusion network for 3D object detection of 4D radar and LiDAR
Authors: Jiang Tiezhen , Kang Runjie , Li Qingzhu 
Published: January 2025

Abstract
In recent years, with the rapid advancement of autonomous driving technology, the requirements for environmental perception tasks have become increasingly important. Four-dimensional (4D) millimeter-wave radar, an economical and reliable technology, has begun to attract attention. Additionally, LiDAR can measure accurately and is not easily interfered with, so it is also very popular. To overcome the limitations of single-sensor perception, this paper proposes the BSM-NET method, a multi-bandwidth, multi-scale, multi-modal fusion approach for 4D radar and LiDAR. This paper uses image technology to clean point cloud data, reducing errors and noise. BSM-NET consists of two key modules: multi-bandwidth fusion (MBF) and multi-scale fusion (MSF). MBF enhances data quality by capturing point cloud density and addressing issues such as gap filling and noise reduction. MSF improves accuracy and robustness through high-precision calculations. For better integration, we use the radar and LiDAR based multi-modal fusion (RLMF), which enables different types of data to learn from each other, allowing us to effectively fuse 80-line LiDAR and 4D radar data. Experimental results demonstrate that BSM-NET significantly outperforms the current state-of-the-art algorithms on Dual-Radar dataset. Compared to M2-Fusion, our fusion method achieves notable performance improvements of 2.04% and 2.21% in medium-difficulty 3D object detection and bird’s eye view detection for the vehicle category, respectively.
Adaptive demodulation extraction transform for fault diagnosis of rotating machinery
Authors: Cui Lingli , Chen Jiahui , Liu Dongdong , Sun Shuwen 
Published: January 2025

Abstract
The accurate analysis of close and crossed frequency components is a challenge for the existing time–frequency analysis methods due to energy interference in the adjacent and crossing parts. In addition, the energy error at the intersection is caused because the energy value is superimposed repeatedly. To solve these problems, a new adaptive demodulation extraction transform (ADET) is proposed in this paper. An instantaneous frequency (IF) trajectory estimation method and an amplitude extraction (AE) matrix are designed to accurately identify the adjacent and crossing frequencies. The IF trajectory is calculated using the particle swarm optimization algorithm and the generalized demodulation technique. The AE matrix extracts the energy value from the time–frequency domain by a position function, which converts the IF trajectory to corresponding time–frequency information. Moreover, an iteration procedure is designed to avoid the superposition of energy at the crossing point. The effectiveness of ADET is confirmed through simulated and experimental signals.
A review of optical flow velocimetry in fluid mechanics
Authors: Jassal Gauresh Raj , Schmidt Bryan E 
Published: January 2025

Abstract
Optical flow methods have been developed over the past two decades for application to particle image velocimetry (PIV) images with the goal of acquiring higher resolution measurements of the velocity field than conventional cross-correlation (CC)-based techniques. Numerous optical flow velocimetry (OFV) algorithms have been devised to solve the ill-posed optical flow problem, with various physics-inspired strategies to tailor them to fluid flows. While OFV can be applied to continuous scalar fields, it has demonstrated the most success on images of tracer particles, i.e. traditional planar PIV images. Compared to state-of-the-art CC algorithms, OFV methods have demonstrated an order of magnitude increase in spatial resolution and up to a factor of two improvement in overall accuracy when evaluated on synthetic data, at the cost of increased computational time. The requirements for particle seeding density, inter-frame displacement, and image quality are also more stringent for OFV methods compared to CC. OFV has been applied sparingly in experiments to date, but appears to offer the same advantages demonstrated on synthetic data. At this stage, OFV seems best suited to planar velocity measurements, although extensions to stereoscopic measurements have been demonstrated.
Damping-regulated GSR array method for multi-harmonic fault diagnosis under variable speed conditions
Authors: Zhang Xuerui , Chen Kehan , Wang Huiqi 
Published: January 2025

Abstract
Bearing fault diagnosis under variable speed conditions is essential due to the complexities introduced by speed fluctuations. The accurate detection of multi-harmonic faults is critical for ensuring reliability in intricate operating environments. From the perspective of the beneficial effects of noise, in this study we propose a novel damping-regulated generalized stochastic resonance (GSR) array method designed for multi-harmonic fault diagnosis under variable speed conditions. First, we employ computed order tracking to transform non-stationary time-domain signals into stationary signals in the angular domain. A damping-regulated GSR oscillator is then introduced within this domain, forming the basis of our GSR array. By analyzing the system stationary response, we reveal the diagnostic performance in theory to assess the array’s capacity for enhancing multi-harmonic fault characteristics. Through simulations and experimental validation, our method demonstrates superior diagnostic accuracy, particularly in variable speed scenarios. It excels in preserving and enhancing weak multi-harmonic fault characteristics while offering significant advantages in high diagnostic robustness. These findings provide significant potential for practical applications in fault diagnostics across various engineering systems.
The electronic transport properties of parabolic topological edge states
Authors: Wang Lu Yun 
Published: January 2025

Abstract
The broadly studied topological edge states in two-dimensional materials are usually of a linear dispersion relation. However, the transport of non-Dirac topological edge states is rarely studied. Here, we report the finding of topological edge states with a parabolic dispersion. The topological nature of the states is supported by spatial wave function, Chern number calculation and the quantized linear conductance. The parabolic dispersion aspect of the edge states can be verified via a double-barrier junction which acts as a Fabry–Perot interferometer. For the parabolic dispersion edges states, the Fermi energy E dependent resonance peaks spacing δ shows a

δ
∼

E

relation. In contrast, for the linear dispersion edges states, δ is a constant. Finally, the transport properties of parabolic topological edge states under Anderson disorder are studied. It is found that under a strong disorder, the quantized conductance is sensitive to the Fermi energy, but unaffected by the sample length.