bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mini-open transosseous repair with bursal augmentation improves outcomes in massive rotator cuff tears
Authors: El Safoury Yasser , Sabry Ahmed O. 
Published: January 2025

Abstract
Treatment of Massive rotator cuff tears (MRCT) is difficult, with high rates of retears. Using biological augmentation in the form of the highly vascular subacromial bursa, was used to improve tendon healing. This work aimed to evaluate the results of arthroscopic guided mini-open transosseous repair with bursal augmentation in the treatment of MRCTs in a five-step approach. Forty-eight patients, with a mean age of 63.15 years, were treated with this technique. The patients were evaluated with the constant, UCLA and VAS scores. Plain X-rays were performed to evaluate the CSA and MRI was done to confirm the diagnosis of MRCT and determine the degree of fatty degeneration. Ultrasound was done at 1 year post-operative to determine any retears. The mean follow-up period was 29 months ± 4.95. The Constant and UCLA mean scores improved from (52.52) to (89) and (13.2) to (30.5) respectively (p < 0.0001). The post-operative active flexion and abduction improved from a mean of (112° to 170°) and (136.2° to 167°) respectively, while ER improved from (62.8° to 70°) with their p values (p < 0.0001). Pain improved from a mean VAS of (5.85) to (0.5) (p < 0.0001). No deterioration of function was noted throughout the follow-up period, and no retears occurred on post-operative ultrasound evaluation. Mini-open transosseous repair with bursal augmentation in the treatment of MRCT is an effective and low-cost method that achieves satisfactory results with no retears.
Cobalt oxide nanoparticles induce cytotoxicity and excessive ROS mediated mitochondrial dysfunction and p53-independent apoptosis in melanoma cells
Authors: Mohamed Hanan R. H. , Mohamed Basma A. , Hakeem George M. , Elnawasani Shahd H. , Nagy Maria , Essam Rawan , Diab Ayman , Safwat Gehan 
Published: January 2025

Abstract
Nanotherapy has emerged as a promising strategy for the targeted and efficient treatment of melanoma, the most aggressive and lethal form of skin cancer, with minimized systemic toxicity. However, the therapeutic efficacy of cobalt oxide nanoparticles (Co3O4NPs) in melanoma treatment remains unexplored. This study aimed to assess the therapeutic potential of Co3O4NPs in melanoma treatment by evaluating their impact on cell viability, genomic DNA and mitochondrial integrity, reactive oxygen species (ROS) generation and apoptosis induction in melanoma A-375 cells. Our findings demonstrated a concentration-dependent reduction in cell viability upon treatment with five Co3O4NP concentrations (0.2, 2, 20, 200, and 2000 µg/ml), with an IC50 value of 303.80 µg/ml. Treatment with this IC50 concentration significantly increased ROS generation, induced dramatic DNA damage, and disrupted mitochondrial membrane potential integrity. Flow cytometric analysis revealed apoptosis and necrosis induction following Co3O4NP exposure at the IC50 concentration value. Results of qRT-PCR analysis demonstrated remarkable dysregulation of apoptotic and mitochondrial genes, including a significant downregulation of apoptotic p53 and mitochondrial ND3 genes and marked upregulation of the anti-apoptotic gene Bcl2. These findings highlight the novel potential of Co3O4NPs as potent inducers of melanoma A-375 cell death in a concentration-dependent manner through excessive ROS production, genomic instability, mitochondrial dysfunction and dysregulation of apoptotic and mitochondrial gene expression, ultimately promoting apoptosis in A-375 cells. This study thus underscores the potential of Co3O4NPs as a promising nanotherapeutic candidate for melanoma treatment, warranting further exploration to elucidate their full biological and clinical applicability.
Body composition changes and clinical outcomes in pediatric cystic fibrosis during 24 months of lumacaftor ivacaftor therapy based on real-world data
Authors: Imrei Marcell , Kéri Adrienn F. , Gács Éva , Gönczi Ildikó , Meláth Melinda , Kosaras Éva , Demeter Botond , Péterfia Csaba , Vass Klára , Székely Gyöngyi , Ocskay Klementina , Párniczky Andrea 
Published: January 2025

Abstract
Clinical trials demonstrate the short-term efficacy of dual CFTR modulators, but long-term real-world data is limited. We aimed to investigate the effects of 24-month lumacaftor/ivacaftor (LUM/IVA) therapy in pediatric CF patients (pwCF). This observational study included pwCF homozygous for F508del mutation treated between 2021 and 2023. We report data for the first 24 months from therapy initiation. Variables were analyzed separately for ages 2–5, 6–11, and over 12. Data from 49 pwCF (median age: 9.3 years (5.5–14.2)) showed that ppFEV1 values after a transient increase at 12 months, decreased from 102% (82–114) at baseline to 87% (74–96) at 24 months. The decrease was more pronounced with higher initial ppFEV1. Median sweat chloride concentration decreased from 75 mmol/L (69–82) to 57 mmol/L (43–70) without any association with respiratory function change. Median BMI z-score increased from − 0.81 (− 1.37–0.49) to − 0.39 (− 0.88 to  − 0.04) (p = 0.288), and the proportion of underweight and overweight children decreased. Skeletal muscle mass remained stable, while fat mass significantly increased (p = 0.011). Fecal elastase levels improved, especially among younger patients. These findings underscore the potential benefits of early initiation of CFTR modulator therapy in pediatric CF patients, highlighting improvements in nutritional status and pancreatic function.
Multi-faceted examination of a deepwater seamount reveals ecological patterns among coral and sponge communities in the equatorial Pacific
Authors: Kennedy Brian RC , Auscavitch Steven , Shank Timothy M. , Sartor Constance , Tennaba Anameere , Weinnig Alexis M. , Rotjan Randi D. 
Published: January 2025

Abstract
Spatial changes in benthic community structure have been observed across natural gradients in deep-sea ecosystems, but these patterns remain under-sampled on seamounts. Here, we identify the spatial composition and distribution of coral and sponge taxa on four sides of a single central Pacific equatorial “model” seamount within the US EEZ surrounding the Howland and Baker unit of the Pacific Islands Heritage Marine National Monument. This seamount rises from 5,000 + m to mesophotic depths of 196 m, and is influenced by the Equatorial Undercurrent. Four remotely operated vehicle (ROV) transects were completed, one on each flank of the seamount. Shallower than ~ 250 m, the mesophotic seafloor was composed of scoured carbonate pavement with sediment accumulation only found in rocky depressions. Waters below 500 m hosted communities predominantly composed of octocorals, however, several coral taxa showed seamount flank preference (higher abundance on one or more flanks than the others) even though strong vertical (depth) zonation of corals and sponges was observed on all flanks. Euplectellidae, Plexauridae and ​​Chrysogorgia spp. corals each showed a distinct preference for flank. To help visualize the influence of current flow, oxygen, depth, and substrate type on the zonation of seamounts, we created an Alexander Von Humboldt-style infographic to illustrate the observed biodiversity patterns. Given the importance of seamounts to ocean biodiversity and productivity, this study is an early attempt at a holistic visualization of seamount biology that can advance new hypotheses about seamount ecology.
Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging
Authors: Keogan Abigail , Nguyen Thi Nguyet Que , Bouzy Pascaline , Stone Nicholas , Jirstrom Karin , Rahman Arman , Gallagher William M. , Meade Aidan D. 
Published: January 2025

Abstract
Predicting long-term recurrence of disease in breast cancer (BC) patients remains a significant challenge for patients with early stage disease who are at low to intermediate risk of relapse as determined using current clinical tools. Prognostic assays which utilize bulk transcriptomics ignore the spatial context of the cellular material and are, therefore, of limited value in the development of mechanistic models. In this study, Fourier-transform infrared (FTIR) chemical images of BC tissue were used to train deep learning models to predict future disease recurrence. A number of deep learning models were employed, with champion models employing two-dimensional and two-dimensional-separable convolutional networks found to have predictive performance of a ROC AUC of approximately 0.64, which compares well to other clinically used prognostic assays in this space. All-digital chemical imaging may therefore provide a label-free platform for histopathological prognosis in breast cancer, opening new horizons for future deployment of these technologies.
The active layer soils of Greenlandic permafrost areas can function as important sinks for volatile organic compounds
Authors: Jiao Yi , Kramshøj Magnus , Davie-Martin Cleo L. , Elberling Bo , Rinnan Riikka 
Published: January 2025

Abstract
Permafrost is a considerable carbon reservoir harboring up to 1700 petagrams of carbon accumulated over millennia, which can be mobilized as permafrost thaws under global warming. Recent studies have highlighted that a fraction of this carbon can be transformed to atmospheric volatile organic compounds, which can affect the atmospheric oxidizing capacity and contribute to the formation of secondary organic aerosols. In this study, active layer soils from the seasonally unfrozen layer above the permafrost were collected from two distinct locations of the Greenlandic permafrost and incubated to explore their roles in the soil-atmosphere exchange of volatile organic compounds. Results show that these soils can actively function as sinks of these compounds, despite their different physiochemical properties. Upper active layer possessed relatively higher uptake capacities; factors including soil moisture, organic matter, and microbial biomass carbon were identified as the main factors correlating with the uptake rates. Additionally, uptake coefficients for several compounds were calculated for their potential use in future model development. Correlation analysis and the varying coefficients indicate that the sink was likely biotic. The development of a deeper active layer under climate change may enhance the sink capacity and reduce the net emissions of volatile organic compounds from permafrost thaw.
SLC13A2 promotes hepatocyte metabolic remodeling and liver regeneration by enhancing de novo cholesterol biosynthesis
Authors: Shi Li , Chen Hao , Zhang Yuxin , An Donghao , Qin Mengyao , Yu Wanting , Wen Bin , He Dandan , Hao Haiping , Xiong Jing 
Published: January 2025

Abstract
Metabolic requirements of dividing hepatocytes are prerequisite for liver regeneration after injury. In contrast to transcriptional dynamics during liver repair, its metabolic dependencies remain poorly defined. Here, we screened metabolic genes differentially regulated during liver regeneration, and report that SLC13A2, a transporter for TCA cycle intermediates, is decreased in rapid response to partial hepatectomy in mice and recovered along restoration of liver mass and function. Liver-specific overexpression or depletion of SLC13A2 promoted or attenuated liver regeneration, respectively. SLC13A2 increased cleavage of SREBP2, and expression of cholesterol metabolism genes, including LDLR and HMGCR. Mechanistically, SLC13A2 promotes import of citrate into hepatocytes, serving as building block for ACLY-dependent acetyl-CoA formation and de novo synthesis of cholesterol. In line, the pre-administration of the HMGCR inhibitor lovastatin abolished SLC13A2-mediated liver regeneration. Similarly, ACLY inhibition suppressed SLC13A2-promoted cholesterol synthesis for hepatocellular proliferation and liver regeneration in vivo. In sum, this study demonstrates that citrate transported by SLC13A2 acts as an intermediate metabolite to restore the metabolic homeostasis during liver regeneration, suggesting SLC13A2 as a potential drug target after liver damage.
Estimating Earphone Level and Dose Using Real-Ear Measures and Ecological Momentary Assessment
Authors: Jorgensen Erik , Reynolds Isabelle , Saxena Trisha , Thomas Marisa , Werner Megan 
Published: January 2025

Purpose:
Prior work estimating sound exposure dose from earphone use has typically measured earphone use time with retrospective questionnaires or device-based tracking, both of which have limitations. This research note presents an exploratory analysis of sound exposure dose from earphone use among college-aged adults using real-ear measures to estimate exposure level and ecological momentary assessment (EMA) to estimate use time.

Method:
Earphone levels were measured at the ear drum of 53 college students using their own devices, earphones, and preferred music and speech stimuli at their normal listening volume. Participants completed 1 week of EMA, where they reported on their minutes of earphone use every 2 hr. Based on the EMAs and their measured earphone levels, sound exposure doses from earphone use were calculated.

Results:
Compliance on EMA was 73%, comparable to most studies using this method in audiology research. Earphone levels were lower than those reported by most prior literature. The average listening level across music and speech, with A-weighting and diffuse-field corrections, was 60 dBA. Earphone use time was also lower than most prior work. Most participants had doses under 1%.

Conclusions:
Using EMA to track earphone use is a potentially simple way to facilitate measurements of sound exposure from earphone use without relying on retrospective questionnaires or limiting the sample to specific devices, earphones, or apps. Evidence was also found for potentially lower sound levels and sound exposure doses from earphone use among college-aged adults than previously reported.

Supplemental Material:

https://doi.org/10.23641/asha.28205072
From local to global
Authors: Aljehani Khulod 
Published: January 2025

Abstract
This study aimed to explore research publishing participation of English as a Foreign Language (EFL) teachers at
universities in Saudi Arabia, particularly regarding non-native English-speaking teachers (NNESTs). This study focuses on
teachers’ motivations, the establishment of personal identity, and their emotions in local and international academic publishing.
Based on 11 participant interviews, the challenges faced by NNESTs include linguistic and cultural factors alongside
organisational and identity points of pressure, with effects such as anxiety and rejection. Achievement depends on external
objectives such as career development and conducting research; however, as they progress from one level to another, they become
driven by internal factors such as interest and passion. The outcomes underscore the need for enhanced institutional support for
several learning interests, including allowing teachers to access global academic materials and resources. Resolving these issues
may help promote an academic environment that highlights NNESTs in premier publications. This study calls for reforming current
pedagogical practices to better support NNESTs and recommends future research focused on sustained engagement and indexed
publication opportunities to support NNEST research paths more effectively.
Thickness-dependence of the in-plane thermal conductivity and the interfacial thermal conductance of supported MoS2
Authors: Melo Henrique F , Brant Juliana C , Guimarães Paulo S S 
Published: January 2025

Abstract
Nowadays, experimental research advances in condensed matter physics are deep-rooted in the development and manipulation of nanomaterials, making it essential to explore the fundamental properties of materials that are candidates for nanotechnology. In this work, we study the dependence of the molybdenum disulfide (MoS2) Raman modes on the sample temperature and on the excitation laser power. From the correlation between these two sets of measurements, we determine the planar thermal conductivity of MoS2 monolayers, bilayers, trilayers, four layers, seven layers and eight layers. We find a nonmonotonic behavior, with the thermal conductivity decreasing from

38

W

m

−
1

K

−
1

to

24

W

m

−
1

K

−
1

, going from monolayer to trilayers, and then increasing from

24

W

m

−
1

K

−
1

to

50

W

m

−
1

K

−
1

when the thickness increases from three to eight layers. We associate this behavior with a convolution of two different phonon scattering processes: boundary scattering and interlayer scattering. We also report a monotonic thickness dependence of the interfacial thermal conductance of n-layers of MoS2 on SiO2/Si, which ranges from

0.9

MW

m

−
2

K

−
1

for a monolayer to

3.2

MW

m

−
2

K

−
1

for eight layers films.
Research on composite strain and stress sensors based on piezoresistive and triboelectric effects
Authors: Li Hu , Yang Li , Wang Zhihua 
Published: January 2025

Abstract
In view of the problems that robotic arms find it difficult to effectively identify and grasp workpieces with different textures and hardness in complex industrial environments, and the low path planning accuracy of robotic arms in practical application scenarios, this paper proposes a composite sensor based on piezoresistive effect and triboelectric effect. The composite sensor simultaneously generates piezoresistive and triboelectric signals. By comparing the output signals of the sensor, it is possible to achieve high-precision dynamic monitoring of the flexible grasping and joint movement processes of the robotic arm. The base material of the piezoresistive sensor and the negative electrode material of the triboelectric sensor are both porous MXene/PDMS structures. The piezoresistive sensor enhances its conductivity by spin-coating CNT slurry on the surface of the base material and uses PVA hydrogel as the electrode. The triboelectric sensor uses copper as the positive electrode material. Experiments show that the developed sensor has a measurement range (0.015–70 kPa) and good repeatability. The experiment verifies that the composite sensor can be applied to the high-precision detection of robotic arm’s flexible gripping and joint movements.
Research on a Hybrid Correction Method for SINS/DVL Kalman Filter Integrated Navigation Based on Convergence Factor Judgment
Authors: Liu Kaiyue , wang qiuying , Armellin Roberto 
Published: January 2025

Abstract
The strapdown inertial navigation system (SINS)/doppler velocity log (DVL) integrated navigation is one of the primary methods for underwater navigation, providing autonomous underwater vehicles with precise information on position, velocity, and attitude. The core idea of the SINS/DVL integrated navigation using the Kalman filter is to establish the state and observation equations to estimate the SINS navigation error using DVL velocity. The optimal state estimation and correction strategies are critical to the accuracy of integrated navigation. To address this, this paper proposes a hybrid correction method for SINS/DVL Kalman filter integrated navigation based on a convergence factor judgment (HCKF-CFJ). First, the convergence factor for the Kalman filter is constructed using the diagonal elements of the estimated error covariance matrix corresponding to the velocity error state. Then, the filter's stability is assessed based on this convergence factor. When stability is confirmed, direct feedback correction is applied to the SINS velocity, and indirect feedback correction is applied to the SINS position. SINS velocity and position undergo feedforward correction if the stability condition is not met. Finally, ship experiments validate the effectiveness of the proposed method.
Global Receptive Field Transformer Decoder Method on Quantum Surface Code Data and Syndrome Error Correction
Authors: Li Ao-Qing , Tian Ce-Wen , Xu Xiao-Xuan , Ma Hong-Yang , Liang Jun-Qing 
Published: January 2025

Abstract
Quantum computing has the potential to solve complex problems that are inefficiently handled by classical computation. However, the high sensitivity of qubits to environmental interference and the high error rates in current quantum devices exceed the error correction thresholds required for effective algorithm execution. Therefore, quantum error correction technology is crucial to achieving reliable quantum computing. In this work, we study a topological surface code with a two-dimensional lattice structure, which protects quantum information by introducing redundancy across multiple qubits and using syndrome qubits to detect and correct errors. However, errors can occur not only in data qubits but also in syndrome qubits, and different types of errors may generate same syndromes, complicating the decoding task and creating a need for more efficient decoding methods. To address this challenge, we used a transformer decoder based on an attention mechanism. By mapping the surface code lattice, the decoder performs a self-attention process on all input syndromes, thereby obtaining a global receptive field. The performance of the decoder was evaluated under a phenomenological error model. Numerical results demonstrate that the decoder achieves a decoding accuracy of 93.8%. Additionally, we obtained decoding thresholds of 5% and 6.05% at maximum code distances of 7 and 9, respectively. These results indicate that the used decoder demonstrates a certain capability in correcting noise errors in surface codes.
$\rho$ meson form factors and parton distribution functions in impact parameter space
Authors: Zhang Jin-Li 
Published: January 2025

Abstract
In this paper, we investigate the form factors and impact parameter space parton distribution functions of the $\rho$ meson derived from the generalized parton distributions within the framework of the Nambu–Jona-Lasinio model, employing a proper time regularization scheme. We compare the charge $G_C$, magnetic $G_M$, and quadrupole $G_Q$ form factors with lattice data. The dressed form factors, $G_C^D$ and $G_M^D$, exhibit good agreement with lattice results; however, $G_Q^D$ is found to be harder than what is observed in lattice calculations. The Rosenbluth cross section for elastic electron scattering on a spin-one particle can be expressed through the structure functions $A(Q^2)$ and $B(Q^2)$. Additionally, the tensor polarization $T_{20}(Q^2,\theta)$ can also be formulated in terms of these form factors. We analyze the structure functions $A(Q^2)$, $B(Q^2)$ and tensor polarization function $T_{20}(Q^2,\theta)$; our findings quantitatively align with predicted values across various limits. In impact parameter space, we examine parton distribution functions along with their dependence on longitudinal momentum fraction $x$ and impact parameter $\bm{b}_{\perp}$. The width distributions in impact parameter space reveal that the range of the charge distribution \( q_C(x,\bm{b}_{\perp}^2) \) is the most extensive. In contrast, the transverse magnetic radius falls within a moderate range, while the quadrupole distribution \( q_Q(x,\bm{b}_{\perp}^2) \) demonstrates the narrowest extent.Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Article funded by SCOAP3 and published under licence by Chinese Physical Society and the Institute of High Energy Physics of the Chinese Academy of Science and the Institute of Modern Physics of the Chinese Academy of Sciences and IOP Publishing Ltd.