bluuebunny/crossref_metadata_2025_split huggingface dataset:
A genetic-epigenetic interplay at 1q21.1 locus underlies CHD1L-mediated vulnerability to primary progressive multiple sclerosis
Authors: Pahlevan Kakhki Majid , Giordano Antonino , Starvaggi Cucuzza Chiara , Venkata S. Badam Tejaswi , Samudyata Samudyata , Lemée Marianne Victoria , Stridh Pernilla , Gkogka Asimenia , Shchetynsky Klementy , Harroud Adil , Gyllenberg Alexandra , Liu Yun , Boddul Sanjaykumar , James Tojo , Sorosina Melissa , Filippi Massimo , Esposito Federica , Wermeling Fredrik , Gustafsson Mika , Casaccia Patrizia , Hillert Jan , Olsson Tomas , Kockum Ingrid , Sellgren Carl M. , Golzio Christelle , Kular Lara , Jagodic Maja 
Published: July 2024

AbstractMultiple Sclerosis (MS) is a heterogeneous inflammatory and neurodegenerative disease with an unpredictable course towards progressive disability. Treating progressive MS is challenging due to limited insights into the underlying mechanisms. We examined the molecular changes associated with primary progressive MS (PPMS) using a cross-tissue (blood and post-mortem brain) and multilayered data (genetic, epigenetic, transcriptomic) from independent cohorts. In PPMS, we found hypermethylation of the 1q21.1 locus, controlled by PPMS-specific genetic variations and influencing the expression of proximal genes (CHD1L, PRKAB2) in the brain. Evidence from reporter assay and CRISPR/dCas9 experiments supports a causal link between methylation and expression and correlation network analysis further implicates these genes in PPMS brain processes. Knock-down of CHD1L in human iPSC-derived neurons and knock-out of chd1l in zebrafish led to developmental and functional deficits of neurons. Thus, several lines of evidence suggest a distinct genetic-epigenetic-transcriptional interplay in the 1q21.1 locus potentially contributing to PPMS pathogenesis.
Bifurcations in coupled amyloid-β aggregation-inflammation systems
Authors: Chakrabarti Kalyan S. , Bakhtiari Davood , Rezaei-Ghaleh Nasrollah 
Published: July 2024

AbstractA complex interplay between various processes underlies the neuropathology of Alzheimer’s disease (AD) and its progressive course. Several lines of evidence point to the coupling between Aβ aggregation and neuroinflammation and its role in maintaining brain homeostasis during the long prodromal phase of AD. Little is however known about how this protective mechanism fails and as a result, an irreversible and progressive transition to clinical AD occurs. Here, we introduce a minimal model of a coupled system of Aβ aggregation and inflammation, numerically simulate its dynamical behavior, and analyze its bifurcation properties. The introduced model represents the following events: generation of Aβ monomers, aggregation of Aβ monomers into oligomers and fibrils, induction of inflammation by Aβ aggregates, and clearance of various Aβ species. Crucially, the rates of Aβ generation and clearance are modulated by inflammation level following a Hill-type response function. Despite its relative simplicity, the model exhibits enormously rich dynamics ranging from overdamped kinetics to sustained oscillations. We then specify the region of inflammation- and coupling-related parameters space where a transition to oscillatory dynamics occurs and demonstrate how changes in Aβ aggregation parameters could shift this oscillatory region in parameter space. Our results reveal the propensity of coupled Aβ aggregation-inflammation systems to oscillatory dynamics and propose prolonged sustained oscillations and their consequent immune system exhaustion as a potential mechanism underlying the transition to a more progressive phase of amyloid pathology in AD. The implications of our results in regard to early diagnosis of AD and anti-AD drug development are discussed.
Evaluation of tribo-mechanical measurements and thermal expansion of Cu-based nanocomposites reinforced by high strength hybrid ceramics
Authors: Zaki Mai Z. , El-Zaidia M. M. , Abomostafa H. M. , Taha Mohammed A. 
Published: July 2024

AbstractIt is known that Copper’s (Cu) electrical conductivity makes it a desirable material for use in industry. Due to poor properties such as hardness, thermal expansion, and corrosion resistance, its applications are limited. This manuscript solves these problems while maintaining no breakdown in electrical conductivity. In this study, high-strength ceramics (SiC nanoparticles and graphene nanosheets) were used as reinforcements in the manufacture of Cu-based hybrid nanocomposites using powder metallurgy technique. X-ray diffraction analysis (XRD) was used to investigate phase composition and crystal size of the milled powders. Transmission electron microscopy (TEM) and field emission scanning electron microscopy (FESEM), respectively examined the microstructure of the prepared powder powders and sintered nanocomposites. Then, various properties of the sintered samples are measured, including physical, electrical and thermal properties and wear resistance. The obtained XRD technique and TEM images showed decreases in the crystal and particle size of milled samples reaching up to 14.08 and 28.30 nm, respectively for the sample contained 8 vol. % SiC + 0.8 vol. % graphene (SG8). A surprising improvement in the mechanical properties of up to 809.15, 341.84 MPa and 336.56 GPa for microhardness, strength and longitudinal modulus for the sample containing the highest reinforcements, achieving an improvement of up to 122, 61.37 and 41 percent compared to the Cu matrix. Moreover, there was a noticeable improvement in the coefficient of thermal expansion (CTE) and wear rate values of the samples by increasing the percentages of hybrid reinforcements in the examined sintered nanocomposite samples. The Sample SG8 recorded the lowest value, decreasing by about 50.2 and 76.5% compared to the SG1 sample. Finally, adding reinforcements to the Cu matrix had a negative effect on the relative density and electrical conductivity, and the lowest values was 92.94% and8.59 × 106 S/m, respectively for the SG sample.
Effect of a harmonic surface pressure on wave propagation over a beach
Authors: Abdelrahman N. S. , Abou-Dina M. S. , Ghaleb A. F. 
Published: July 2024

AbstractThe objective is to study the harmonic forced wave motion over a beach by a finite Fourier transform technique. The constructed approximate solution has a logarithmic singularity at the shoreline. It accounts for reflexion and local perturbations. Trapping of waves may take place for particular choices of the applied surface pressure excess. The case of a wave incident against a cliff with horizontal bottom is solved exactly. The method deals invariably with a variety of bottom shapes, including the case where there is an additional corrugation of the bottom on a finite interval. Other bottom boundary conditions than impermeability can be treated as well. The results may be of interest in several practical applications, in particular the evaluation of the reflected wave. Numerical applications for a plane sloping beach, a parabolic-type beach and a shelf-type beach are presented and the systems of streamlines have been drawn over and in the proximity of the beach.
Demographic and clinical data of patients with spinal epidural angiolipomas
Authors: Lu Taikun , Wang Hao , Liu Yang , Qin Xiaowei , Teng Yongliang , Wang Yubo 
Published: July 2024

AbstractSpinal epidural angiolipomas are rare, benign, mesenchymal tumors. It remains unclear whether spinal epidural angiolipomas are genuinely rare or merely underreported. Herein, we assessed the demographic and clinical characteristics of patients with spinal epidural angiolipoma. We collected data from patients with spinal epidural angiolipoma from three sources. First, we retrospectively analyzed data from patients diagnosed with spinal epidural angiolipoma in our hospital between January 1, 2014, and December 31, 2023. Second, we performed a literature review of studies retrieved from PubMed. Third, we retrieved detailed data of patients with spinal angiolipoma from the Surveillance, Epidemiology, and End Results (SEER) database. We conducted a descriptive analysis to investigate the demographic and clinical characteristics of patients with spinal epidural angiolipoma. At our institution, three patients were diagnosed with spinal epidural angiolipoma. Additionally, we identified 116 patients from the literature review and 15 patients from the SEER database. We reviewed the treatment history and imaging features of the three patients from our institution. The descriptive analysis of the data collected from the literature review was consistent with previous reports. For example, 63.0% of lesions were located at the thoracic level. 31.9% of these lesions involved two vertebral bodies, while 75.6% involved 2–4 vertebral bodies. The most common symptoms experienced by patients were back pain, paraparesis, and numbness in the legs. Surgery was the primary treatment option for most patients, and complete tumor resection was achieved in the majority of patients. The male:female ratio was 1:1.4, the median age at diagnosis for the patients from the literature was 49 years old, and the median follow-up was 24 months. Notably, most of the reports came from Asia and there were few reports from Africa. The findings from the SEER database indicated a male:female ratio of 2:1. The peak incidence, which is typically reported in the fifth decade of life, was not observed. We presented three cases of spinal epidural angiolipoma and supplemented our findings with a literature review and population-based analysis according to the SEER database for the United States population. We believe that our research will enhance clinicians’ comprehension of this uncommon tumor.
A geometric approach for accelerating neural networks designed for classification problems
Authors: Saffar Mohsen , Kalhor Ahmad , Habibnia Ali 
Published: July 2024

Abstract
This paper proposes a geometric-based technique for compressing convolutional neural networks to accelerate computations and improve generalization by eliminating non-informative components. The technique utilizes a geometric index called separation index to evaluate the functionality of network elements such as layers and filters. By applying this index along with center-based separation index, a systematic algorithm is proposed that optimally compresses convolutional and fully connected layers. The algorithm excludes layers with low performance, selects the best subset of filters in the filtering layers, and tunes the parameters of fully connected layers using center-based separation index. An illustrative example of classifying CIFAR-10 dataset is presented to explain the algorithm step-by-step. The proposed method achieves impressive pruning results on networks trained by CIFAR-10 and ImageNet datasets, with 87.5%, 77.6%, and 78.8% of VGG16, GoogLeNet, and DenseNet parameters pruned, respectively. Comparisons with state-of-the-art works are provided to demonstrate the effectiveness of the proposed method.
Predictors of suicidal ideation in Italian veterinarians
Authors: Varallo Giorgia , Zagaria Andrea , Baldini Valentina , Schianchi Alessandro , Brscic Marta , Panero Matteo , Franceschini Christian , Schimmenti Adriano , Musetti Alessandro 
Published: July 2024

AbstractSuicide represents a significant problem for healthcare professionals such as veterinarians. Previous studies showed that contextual and individual risk factors can contribute to suicidality among veterinarians. In the present study, self-report measures on exposure to animal euthanasia, substance abuse, reflective functioning, and suicidal ideation were administered to 1556 Italian veterinarians aged 24–74 years old. Structural equation modelling revealed that failures in reflective functioning and substance abuse were associated with suicidal ideation. Prevention programs focusing on improving reflective functioning and decreasing substance abuse might reduce suicide risk among veterinarians.
Evidence-Based Practices for Evaluating Preschoolers Who Are Deaf/Hard of Hearing Using Listening and Spoken Language for Special Education Eligibility
Authors: Carden Kameron C. , Blaiser Kristina M. , Brooks Betsy Moog , McWilliam R. A. 
Published: July 2024

Purpose:
Many young children who are deaf/hard of hearing (D/HH) using listening and spoken language (LSL) demonstrate improved spoken language outcomes. Anecdotally, one cascading effect of these improved outcomes is that many children are not qualifying for continued services at the age of 3 years during the Individuals with Disabilities Education Act (IDEA) of 2004 Part C to Part B transition due to norm-referenced language performance within the average range. Although norm-referenced performance is one metric for determining language delay and is heavily relied on by educational teams, these siloed measures do not reflect listening, language, and learning demands of a typical preschool classroom. This tutorial highlights the research-to-practice gap currently existing in school-based contexts when evaluating a young child who is D/HH using LSL for special education services.

Conclusions:
An evidence-based framework for ecologically valid, school-based evaluations during the transition period from IDEA (2004) Part C to Part B for young children who are D/HH using LSL between 30 and 35 months of age is presented that balances sensitivity with feasibility. With a particular emphasis on assessment practices for spoken language, the framework connects the purpose of special education eligibility evaluations with evidence-based practice guidance from the literature.

Supplemental Material:

https://doi.org/10.23641/asha.26359642
Two stage beamforming and combining scheme for FDD massive MIMO systems with multi‐antenna users
Authors: Zheng Wu , Liu Chen , Song Yunchao , Gao Tianbao 
Published: July 2024

AbstractThis paper proposes a two‐stage beamforming and combining scheme in frequency division duplex (FDD) massive multiple‐input multiple‐output (MIMO) systems with multi‐antenna users. Specifically, the proposed scheme is a two‐stage scheme, where the pre‐beamforming matrix and pre‐combining matrix are designed using the channel covariance matrix (CCM) in the first stage. The problem of the pre‐beamforming matrix and pre‐combining matrix design are formulated as an 0–1 quadratic integer programming problem. To solve this problem, it is further transformed into an 0–1 mixed linear integer programming problem. In the second stage, the sparse code multiple access and multi‐user precoding and combining are adopted to mitigate the inter‐user interference. Different from the previous transmission scheme using CCM, the proposed scheme consider the multi‐antenna user system, and uses the CCM to design both the pre‐beamforming and pre‐combining matrices to sparsify the effective channel matrix, such that the overhead of pilot and feedback can be reduced. Moreover, the sparse code multiple access can help to better reduce the inter‐user interference. Simulation results validate the good performance of the proposed scheme.
An experimental test of endfire synthetic aperture sonar for sediment characterisation
Authors: Steele Shannon‐Morgan , Lyons Anthony P. 
Published: July 2024

AbstractThe validation of seafloor scattering models used for seabed characterisation requires quantifying the contributions from the sediment interface and volume to the total acoustic returns. At low‐frequencies, direct measurements of sediment volume scattering have rarely been made, due to the bias in interface roughness scattering caused by large beamwidths of low‐frequency sonars. Endfire Synthetic Aperture Sonar (EF‐SAS) can achieve narrower beamwidths by forming a vertically oriented synthetic array as a transmitter and/or receiver and moving it through the water column. The narrower beamwidths achieved by EF‐SAS allow for more accurate measurements of volume scattering by reducing interface scattering bias in acoustic returns. The application of EF‐SAS for sediment characterisation is explored for the first time. The authors demonstrate that EF‐SAS can be used to construct the angular response curve for both interface and volume scattering as well as to estimate the attenuation and reflection coefficients, which can be inverted for grain size.
Application research on vector coherent frequency‐domain batch adaptive line enhancement in deep water
Authors: Li He , Wang Tong , Guo Xinyi , Su Lin , Mo Yaxiao 
Published: July 2024

AbstractThe low frequency line spectrum noise radiated by ships has strong stability and is difficult to eliminate, which is the key information required for passive signal detection. A vector coherent frequency‐domain batch adaptive line enhancement method is proposed to address the issue of insufficient detection capability of traditional scalar adaptive line enhancement (ALE) algorithms for ship characteristic line spectra in complex deep‐sea environments. This method not only introduces the idea of frequency‐domain batch processing, but also uses synchronously collected sound pressure and particle velocity as dual input, fully utilising the coherence characteristics between vector channels to output high gain line spectrum signals and improve computational efficiency. In simulation and sea trial data validation, compared with the time‐domain vector coherent adaptive line enhancement algorithm, this method has shorter time consumption, higher efficiency, and can improve the detection ability of line spectrum signals under low signal‐to‐noise ratio conditions. The bearing estimation results output by this algorithm is also more accurate.
Study the potential of micro laser sintering additive manufacturing technology for metallic 3D printing horn antenna structure
Authors: Hossain Sheikh Dobir , Lohani Bhushan , Price Ryan M. , Roberts Robert Christopher 
Published: July 2024

AbstractApplications for an antenna structure produced with additive manufacturing technology are numerous and promising. This study focuses explicitly on utilizing micro‐laser sintering (MLS) three‐dimensional (3D) printing technology to fabricate two rectangular horn antennas identical to a standard Pasternack® horn antenna, making the fabrication straightforward. The objective is to investigate how surface roughness affects antenna performance in a frequency range of 18 to 26.5 GHz. One antenna is polished and the other is left untouched, resulting in surface roughness of 4 and 6 µm, respectively, measured using a profilometer. Then, a vector network analyzer was used to assess their reflection coefficient, transmission characteristics, and radiation pattern and determine gains of 8.83 and 9.14 dBi for the polished and unpolished antennas, respectively. The study finds that both polished and unpolished antennas perform similarly, and their characteristics closely resembling simulated and standard antennas. Finally, the performance of the MLS‐printed metallic antennas is compared with horn antennas created using other 3D printing techniques. It reveals that the MLS‐printed metallic structures exhibit better performance, indicating that the MLS technology has great potential to print 3D metallic electromagnetic designs.
Bridging Gaps in Wearable Technology for Exercise and Health
Professionals: A Brief Review
Authors: Schumann Moritz , Doherty Cailbhe 
Published: July 2024

AbstractThe proliferation of wearable devices, especially over the past decade, has been
remarkable. Wearable technology is used not only by competitive and recreational
athletes but is also becoming an integral part of healthcare and public health
settings. However, despite the technological advancements and improved
algorithms offering rich opportunities, wearables also face several obstacles.
This review aims to highlight these obstacles, including the prerequisites for
harnessing wearables to improve performance and health, the need for data
accuracy and reproducibility, user engagement and adherence, ethical
considerations in data harvesting, and potential future research directions.
Researchers, healthcare professionals, coaches, and users should be cognizant of
these challenges to unlock the full potential of wearables for public health
research, disease surveillance, outbreak prediction, and other important
applications. By addressing these challenges, the impact of wearable technology
can be significantly enhanced, leading to more precise and personalized health
interventions, improved athletic performance, and more robust public health
strategies. This paper underscores the transformative potential of wearables and
their role in advancing the future of exercise prescription, sports medicine and
health.
Study on the mixed lubrication of rough planar extrusion considering surface texture
Authors: Su Xubin , Shao Wen , Tang Jinyuan , Li Xin 
Published: July 2024

Abstract
Surface texture plays a crucial role in fluid dynamic lubrication. The non-Newtonian thermal elastohydrodynamic lubrication problem involving rough surfaces with texture has not been investigated to date. In this paper, a model for non-Newtonian thermal elastohydrodynamic lubrication incorporating rough surfaces and texture morphology is developed, focusing on the problem of mixed lubrication in planar extrusion with texture. The model builds upon the Reynolds equation with flow factor introduced. It considers the effects of rough surface texture, thermal effects, and non-Newtonian effects. The Reynolds equation is numerically solved using the Semi-System method to calculate the oil film pressure in full film region and contact pressure in dry contact area. The DC-FFT algorithm is employed to calculate surface elastic deformation. Comparing the calculated friction coefficient of the present model with the measured values in literature experiments, the average error is only 6.94%. Furthermore, the study investigates the effects of texture, temperature, and non-Newtonian on interfacial lubrication performance under mixed lubrication conditions. It’s found that compared to untextured surface, the average film thickness of textured surface increased by a maximum of 10.8%, and the friction coefficient decreased by a maximum of 67.4%; Compared to Newtonian fluids, shear thinning fluids reduce temperature by 0.18%, and shear thickening fluids are more conducive to improving mixed lubrication performance. A stepped pit texture is designed based on the dynamic pressure mechanism of the texture, indicating that the circular stepped pit texture has the best load-bearing capacity improvement.
Giant resistance switch in twisted transition metal dichalcogenide tunnel junctions
Authors: Vila Marc 
Published: July 2024

Abstract
Resistance switching in multilayer structures are typically based on materials possessing ferroic orders. Here we predict an extremely large resistance switching based on the relative spin–orbit splitting in twisted transition metal dichalcogenide (TMD) monolayers tunnel junctions. Because of the valence band spin splitting which depends on the valley index in the Brillouin zone, the perpendicular electronic transport through the junction depends on the relative reciprocal space overlap of the spin-dependent Fermi surfaces of both layers, which can be tuned by twisting one layer. Our quantum transport calculations reveal a switching resistance larger than

10
6

%

when the relative alignment of TMDs goes from 0∘ to 60∘ and when the angle is kept fixed at 60∘ and the Fermi level is varied. By creating vacancies, we evaluate how inter-valley scattering affects the efficiency and find that the resistance switching remains large (

10
4

%

) for typical values of vacancy concentration. Not only should this resistance switching be observed at room temperature due to the large spin splitting, but our results also show how twist angle engineering and control of van der Waals heterostructures could be used for next-generation memory and electronic applications.