bluuebunny/crossref_metadata_2025_split huggingface dataset:
Communication, Socialization, and Literacy for Adults With Developmental Disabilities: An Interview Study of Parents' Perspectives and Experiences
Authors: Kim Sojung , Jung Hee-Tae , Thao Sunjung Kim 
Published: October 2024

Purpose:
The study highlights the significance of continuous support and services in communication, socialization, and literacy skills for adults with developmental disabilities (DDs). The aim of the study was to gather in-depth information on the individualized needs, lived experiences, and expectations of adults with DD by interviewing their parents.

Method:
A total of 14 parents of adults with DD participated in one-on-one semistructured interviews. During the interviews, parents were asked to describe (a) their children's current communication, socialization, reading and writing skills; (b) the types of communication, socialization, and literacy support their children were receiving; and (c) the types of support that their children needed. Interviews were video- and audio-recorded, transcribed, and analyzed qualitatively using thematic analysis.

Results:
Thematic analysis revealed three main themes and eight subthemes: (1) insufficient support and services for adults with DD (i.e., lack of competent professionals and lack of literacy support), (2) approaches that the parents attempted for their children with DD (i.e., parents' responsibilities, technologies, and pseudoscience), and (3) recommendations for ongoing support and services (i.e., novel technologies, social media, and motivation).

Conclusions:
The study highlights crucial gaps between the participating parents' desire for individualized, consistent, and innovative support and services for their adult children with DD and scarcity of resources in communication, socialization, and literacy. The dearth of evidence-based support and resources leads to easy access to pseudoscience. Future research is warranted to develop innovative, customized, and highly motivating programs in communication, socialization, and literacy for adults with DD.

Supplemental Material:

https://doi.org/10.23641/asha.27214407
Occluded object 6D pose estimation using foreground probability compensation
Authors: Ren Meihui , Jia Junying , Lu Xin 
Published: October 2024

Abstract6D object pose estimation usually refers to acquiring the 6D pose information of 3D objects in the sensor coordinate system using computer vision techniques. However, the task faces numerous challenges due to the complexity of natural scenes. One of the most significant challenges is occlusion, which is an unavoidable situation in 3D scenes and poses a significant obstacle in real‐world applications. To tackle this issue, we propose a novel 6D pose estimation algorithm based on RGB‐D images, aiming for enhanced robustness in occluded environments. Our approach follows the basic architecture of keypoint‐based pose estimation algorithms. To better leverage complementary information of RGB‐D data, we introduce a novel foreground probability‐guided sampling strategy at the network's input stage. This strategy mitigates the sampling ratio imbalance between foreground and background points due to smaller foreground objects in occluded environments. Moreover, considering the impact of occlusion on semantic segmentation networks, we introduce a new object segmentation module. This module utilises traditional image processing techniques to compensate for severe semantic segmentation errors of deep learning networks. We evaluate our algorithm using the Occlusion LineMOD public dataset. Experimental results demonstrate that our method is more robust in occlusion environments compared to existing state‐of‐the‐art algorithms. It maintains stable performance even in scenarios with no or low occlusion.
Analysing the performance of AODV, OLSR, and DSDV routing protocols in VANET based on the ECIE method
Authors: El‐Dalahmeh Moawiah , El‐Dalahmeh Adi , Adeel Usman 
Published: October 2024

AbstractIn a vehicular ad hoc network (VANET), vehicles communicate with each other (V2V) and with infrastructure (V2I) to optimise routing and reach their destinations efficiently. Various routing protocols in the VANET environment facilitate the dissemination of different types of messages, such as those for emergencies or traffic updates. However, previous research has not sufficiently addressed the challenges of energy efficiency, security, and reliability in VANET routing. This work aims to fill that gap by analysing the performance of three major VANET routing protocols—ad hoc on‐demand distance vector (AODV), Optimised Link State Routing (OLSR), and Destination Sequenced Distance Vector—integrated with elliptic curve integrated encryption. The goal is to determine the most suitable routing protocol based on these key parameters. The study involves two key processes: registration and authentication, and the analysis of ECIE‐enhanced routing protocols (ECIE‐AODV, ECIE‐OLSR, and ECIE‐DSDV). These protocols were simulated using OMNET++ and SUMO tools, and the results were evaluated based on metrics such as throughput, packet delivery ratio, end‐to‐end delay (e2e), jitter, and routing overhead.
Multiple reference star differential imaging with VLT/SPHERE
Authors: Romero C. , Milli J. , Lagrange A.-M. , De Rosa R. , Ertel S. , del Burgo C. 
Published: October 2024

Context. High-contrast imaging observations mostly rely on angular differential imaging, a successful technique for detecting point-sources, such as planets. However, in the vicinity of the star (typically below 300 mas), this technique suffers from signal self-subtraction when there is not enough field rotation. Building large libraries of reference stars from archival data later used to optimally subtract the stellar halo is a powerful technique known as reference star differential imaging (RSDI) that can overcome this limitation.
Aims. We aim at investigating new methods for creating reference libraries composed of multiple stars when applying reference star differential imaging to VLT/SPHERE data. We used for that purpose a data set from the SPHERE High Angular Resolution Debris Disk Survey (SHARDDS), composed of 55 targets observed in broad-band H with the InfraRed Dual-band Imager and Spectrograph (IRDIS) during 2015-2016, with a total of ~20 000 frames. We consider HD 206893, known to host a close-in bound substellar companion HD 206893 B, as a benchmark science target to demonstrate the improved sensitivity provided by this method.
Methods. We created libraries of reference frames based on different image similarity metrics: the cosine distance between descriptors created by a convolutional neural network, the Pearson correlation coefficient, the Structural Similarity Index, the Strehl ratio, and raw contrast criteria. We used principal component analysis (PCA) to subtract the stellar halo and tested various normalization options.
Results. We obtained the best signal-to-noise ratio (S/N) on HD 206893 B by using the Pearson correlation coefficient (PCC) applied to an annulus between 245 and 612 mas to select reference frames. The ten reference libraries with the highest S/N on the substellar companion HD 206893 B were all based on the PCC method, outperforming other similarity metrics. While the Strehl ratio is the environment variable most correlated to the contrast, it is insufficient to select similar images. We also show that having multiple reference stars in the reference library produces better results than using a single well-chosen reference star.
Conclusions. Using the Pearson correlation computed on a specific area of interest to select reference frames is a promising alternative to improve the detectability of faint point-sources when applying reference star differential imaging. In the future, reducing all the data available in the SPHERE archive using this technique might offer interesting results in the search for previously undetected planets.
Value-added catalog of physical properties for more than 1.3 million galaxies from the DESI survey
Authors: Siudek M. , Pucha R. , Mezcua M. , Juneau S. , Aguilar J. , Ahlen S. , Brooks D. , Circosta C. , Claybaugh T. , Cole S. , Dawson K. , de la Macorra A. , Dey A. , Dey B. , Doel P. , Font-Ribera A. , Forero-Romero J. E. , Gaztañaga E. , Gontcho A Gontcho S. , Gutierrez G. , Honscheid K. , Howlett C. , Ishak M. , Kehoe R. , Kirkby D. , Kisner T. , Kremin A. , Lambert A. , Landriau M. , Le Guillou L. , Manera M. , Martini P. , Meisner A. , Miquel R. , Moustakas J. , Newman J. A. , Niz G. , Pan Z. , Percival W. J. , Poppett C. , Prada F. , Rossi G. , Saintonge A. , Sanchez E. , Schlegel D. , Scholte D. , Schubnell M. , Seo H. , Speranza F. , Sprayberry D. , Tarlé G. , Weaver B. A. , Zou H. 
Published: October 2024

Aims. We present an extensive catalog of the physical properties of more than a million galaxies investigated with the Dark Energy Spectroscopic Instrument (DESI), one of the largest spectroscopic surveys to date. Spanning a full range of target types, including emission-line galaxies, luminous red galaxies, and quasars, our survey encompasses an unprecedented range of spectroscopic redshifts, all the way from 0 to 6.
Methods. The physical properties, such as stellar masses and star formation rates, were derived via the CIGALE spectral energy distribution (SED) fitting code accounting for the contribution coming from active galactic nuclei (AGNs). Based on the modeling of the optical-mid-infrared (grz supplemented with WISE photometry) SEDs, we studied the galaxy properties with respect to their location on the main sequence.
Results. We have revised the dependence of stellar mass estimates on model choices and on the availability of WISE photometry. Indeed, the WISE data are required to minimize the misclassification of star-forming galaxies as AGNs. The lack of WISE bands in SED fits leads to elevated AGN fractions for 68% of star-forming galaxies identified using emission line diagnostic diagrams, but this does not significantly affect their stellar mass or star formation estimates.
Concise Synthesis of Tetrasubstituted 1,6-Dihydropyridazine and Pyridazine Derivatives
Authors: Zhang Juan , Zhang Haiyan , Wang Zhen , Yao Weijun 
Published: October 2024

AbstractA novel one-pot three-steps process has been developed, including phosphine-catalyzed Rauhut–Currier reaction of γ-alkyl allenoates, Diels–Alder reaction with di-tert-butyl azodicarboxylate, followed by deprotection of Boc group to prepare tetra-substituted 1,6-dihydropyridazines in good yields. The 1,6-dihydropyridazines were easily converted to pyridazine derivatives via oxidative aromatization by DDQ.
Brachial and Lumbosacral Plexopathies
Authors: Vazquez Do Campo Rocio 
Published: October 2024

AbstractThe brachial and lumbosacral plexuses are complex neural structures that transmit sensory, motor, and autonomic information between the spinal cord and the extremities. Plexus disorders can be particularly disabling because lesions in the plexus usually affect large groups of nerve fibers originating from several spinal levels. Electrodiagnostic studies are often required to confirm a plexus lesion and determine the extent of injury and prognosis. Magnetic resonance is the imaging modality of choice for detecting intrinsic nerve abnormalities; recently, high-resolution ultrasound has emerged as an alternative method for dynamic evaluation and visualization of internal nerve architecture. Once a plexopathy is confirmed, the list of possible etiologies is relatively limited and includes traumatic and nontraumatic causes. Treatment relies on symptom management and physical rehabilitation unless a treatable underlying condition is found. Surgical approaches, including nerve grafts or tendon transfers, may improve limb function when spontaneous recovery is suboptimal.
Density-profile imaging using a second harmonic dispersion interferometer configured with reflective-beam expanders
Authors: Wessel F. J. , Chavez C. T. , Egly A. 
Published: October 2024

A Second-Harmonic Dispersion Interferometer (SHDI) is assembled to measure the two-dimensional, line-integrated density profile of a pulsed-plasma jet using probe-beam diameters well beyond the 1 mm diameters typically used in such instruments. An initial prototype demonstrated the technique using 7 mm beam diameters, which are now increased to 35 mm diameter using two types of beam expanders: an achromatic-beam expander (ABE) or a reflective-beam expander (RBE). ABEs were found to add a periodic background to the measured-phase image with a magnitude of the order of Δϕ ∼ 2π radians, compared to the background phase noise level in the system configured without beam expanders at Δϕbg ∼ 0.025 radians. Subtraction of the background phase in a sample image reduced the effect of the ABE phase offset to a level of Δϕ ∼ 0.1 radians, enhancing the quality of the density measurements. Reflective-beam expanders (RBEs) did not modify the background phase appreciably and were a significant improvement, allowing the instrument to be used for 2D (r, z) density-profile measurements of a 3 cm diameter × 5 cm long, pulsed-plasma jet. Variations in the timing parameters for the plasma gun, specifically the gas valve opening time and the gas-injection delay, for a constant discharge current were used to map the plasma gun’s performance, indicating a nominal line-integrated electron density of Nedl ≳ 3 × 1015 cm−2 and a volumetric density of Ne ≃ 9 × 1015 cm−3. The results obtained for the RBE configuration demonstrate that the 2D-SHDI platform may be scaled to even larger sample areas and a rep-rated system, with the ability to potentially provide for a reproducible, time-resolved (∼1 ns), high resolution (∼100μm) measurement of 2D plasma-density profiles.
Excluding the migrant Other via resistance and inclusion
Authors: Karachaliou Rania 
Published: October 2024

Abstract
In the present study, I investigate the construction of otherness in the Greek anti-racist short film
Jafar. Drawing on Critical Discourse Studies, I argue that although the film appears to combat racism, it
simultaneously reproduces practices of discrimination. This contradiction is achieved via liquid racism, namely a
multi-layered and, thus, difficult to detect form of racism (Weaver 2011, 2016). More specifically, by combining Kress and van
Leeuwen’s (2006) grammar of visual design with Bucholtz and Hall’s (2005)
model for identities-in-interaction, I show that the film allows two different representations of otherness: (i) the caring Other,
which resists the stereotype of the criminal migrant (anti-racist positioning) and (ii) the useful Other, which regulates migrant
inclusion via eligibility criteria of usefulness (racist positioning).
“It’s a teacher’s dream to have something this engaging”
Authors: Nilsson Maria 
Published: October 2024

Abstract
Scholars in the field of primary English teaching advocate the use of authentic picturebooks, for reasons related
to language development and more holistic goals of primary education. Picturebook read-alouds facilitate joint meaning-making and
interactions around interesting content that motivate young learners to learn about themselves and others. Nevertheless,
picturebooks are rarely used in early English instruction. To address this discrepancy, the current study illuminates the
perspectives of primary teachers of English and their experiences of picturebook read-alouds. Three teachers, who were not used to
working with authentic multimodal narratives in class, chose two titles each to use with their respective groups in school year 5
in Sweden, with learners aged 11/12. Interviews were conducted after each read-aloud. Findings reveal that the teachers were
positive about the potential of picturebook read-alouds, and the analysis generated four categories illustrating these benefits:
(1) learner engagement and motivation, (2) authenticity, (3) catering to various needs in mixed-ability groups, and (4) target
language learning and use. Issues related to classroom management and control were also addressed. The findings offer valuable
insight into the potential of picturebook read-alouds, and carry implications for the advancement of pedagogy in early language
education.
Format as the locus of negotiating media procedures
Authors: Schildhauer Peter , Brock Alexander 
Published: October 2024

Abstract
This article suggests a conceptual framework which can be used to trace the negotiation of media
procedures. For this purpose, we extend a model of communication form (Brock and Schildhauer 2017) by incorporating the component format as the
place where the use of medial affordances and genre patterns is negotiated for specific, situated use in a given
community. We argue that these negotiation process can be described along the dimensions of scope, explicitness as
well as emergence and provide a micro-analysis of various sequences of a Zoom seminar session to
provide some empirical grounding for our considerations. The analysis illustrates various combinations of the
dimensions suggested. Thus, it not only provides fresh insights into how participants negotiate media procedures
in situ, but also substantiates the models of communication form and
format empirically.
Media as cookie cutters
Authors: Pfurtscheller Daniel 
Published: October 2024

Abstract
Digital platforms are increasingly defining the way media content looks and is experienced. In this
paper, I use Schneider and Luginbühl’s (2020) notion of medial shaping to
analyze the presentation of news on Instagram. My aim is to show how the mediality of digital platforms leads to a
convergence of digital news in terms of its linguistic structure and multimodal design. To further the specific
factors within digital mediality that make such shaping processes possible, I will also examine the metaphorical
concept of platforms. Using three German-language news sites as examples, my qualitative analysis explores how the
characteristics of the platform lead to a homo­geneity of media communication. I approach Instagram as a designed
space that I examine in terms of spatiality, temporality, and intertextuality. My analysis of digital medialty shows
how the technological capabilities and design features of Instagram shapes the presentation of news on a linguistic
and visual level but also how media practitioners strive to creatively utilize the given platform templates for their
own communicative purposes.
Shortcomings and challenges in the intersection of L2 pedagogy and applied cognitive linguistics
Authors: Llopis-García Reyes , Alonso-Aparicio Irene 
Published: October 2024

Abstract
This paper aims to explore the shortcomings and challenges of Applied Cognitive Linguistics (ACL) in L2 classrooms
and research. It examines the main issues and presents a case study with three quasi-experimental classroom studies. These
experiments taught the Spanish past simple tenses using approaches informed by Cognitive Linguistics and Communicative Language
Teaching, plus a control group, through a pretest/posttest design. Results favored cognitive-pedagogical instruction, but only in
one production task (Alonso-Aparicio & Llopis-García, 2019). Subsequent studies
replicated and extended the first, with further changes in instruction and assessment design, but found no significant differences
between experimental groups in the posttest. The discussion highlights the steps taken to ensure study success, pointing out
shortcomings in traditional assessment tests that favor notional-functional instruction. We suggest alternative testing tasks that
consider cognitive-based approaches and new avenues for future research, aligning with Martín-Gascón et al. (2023).
Global induced local network for infrared: dim small target detection
Authors: Li Junying , Hou Xiaorong 
Published: October 2024

Abstract
It is challenging to detect infrared dim targets submerged in complicated backgrounds due to their small size and faint intensity. The previous attention-based detection networks frequently require global long-range dependence. Significant calculations are required to determine the target’s sparse but meaningful position. To prevent wasting calculations on the background, this paper offers a detection network guided by global context for local feature learning, named global induced local network (GILNet). It designs a global location module (GLM) and a local feature interaction module (LFIM) to capture the global position and features of targets, respectively. More specifically, using global context interaction, the GLM finds the region that might contain dim small targets, that is, the coarse location. In the coarsely located regions, the LFIM further acquires feature information about targets. Next, we also design an eight-directional attention operation to obtain the contour information of targets in the low feature map. It is fused with the high feature map in the multi-directional feature fusion module, which retains more semantic and spatial information about targets. Finally, quantitative and qualitative analysis show that the GILNet performs better than eight comparison methods on two public datasets.
A fault diagnosis method of rolling bearings based on masking differential iterative filtering and Euclidean mixed entropy
Authors: Wang Youming , Yang Xing , Jiao Shiting 
Published: October 2024

Abstract
The capture of uncertainty from nonlinear and nonstationary sensor data is significant for rolling bearing fault diagnosis, which can greatly reduce the probability of rolling bearing failure throughout the life cycle. To address the problem, a feature extraction method based on masking differential iterative filtering and Euclidean mixed entropy (MDIF-EME) is proposed for rolling bearing fault diagnosis in complex environments. Firstly, a MDIF algorithm is presented to extract the random uncertain features and reduce noise interference, where a pair of masking signals is added into the raw signal. Secondly, a EME algorithm based on Euclidean distance between the multiscale permutation entropy and the multiscale dispersion entropy is proposed to detect the performance uncertainty of mode decomposition by capturing both temporal and dynamical features. Finally, the mixed entropy feature set is input into the Gaussian weighted k-nearest neighbor for multi-fault identification. The superiority of the MDIF-EME approach is the fusion of random uncertainty in signals and performance uncertainty in the mode decomposition, which improves noise robustness and feature extraction capability. The experimental results show that the method achieves the best performance with an average accuracy of 95.17% for bearing composite fault diagnosis and outperforms other related methods.