bluuebunny/crossref_metadata_2025_split huggingface dataset:
Months-long seismicity transients preceding the 2023 MW 7.8 Kahramanmaraş earthquake, Türkiye
Authors: Kwiatek G. , Martínez-Garzón P. , Becker D. , Dresen G. , Cotton F. , Beroza G. C. , Acarel D. , Ergintav S. , Bohnhoff M. 
Published: November 2023

AbstractShort term prediction of earthquake magnitude, time, and location is currently not possible. In some cases, however, documented observations have been retrospectively considered as precursory. Here we present seismicity transients starting approx. 8 months before the 2023 MW 7.8 Kahramanmaraş earthquake on the East Anatolian Fault Zone. Seismicity is composed of isolated spatio-temporal clusters within 65 km of future epicentre, displaying non-Poissonian inter-event time statistics, magnitude correlations and low Gutenberg-Richter b-values. Local comparable seismic transients have not been observed, at least since 2014. Close to epicentre and during the weeks prior to its rupture, only scarce seismic activity was observed. The trends of seismic preparatory attributes for this earthquake follow those previously documented in both laboratory stick-slip tests and numerical models of heterogeneous earthquake rupture affecting multiple fault segments. More comprehensive earthquake monitoring together with long-term seismic records may facilitate recognizing earthquake preparation processes from other regional deformation transients.
Ocean warming drives rapid dynamic activation of marine-terminating glacier on the west Antarctic Peninsula
Authors: Wallis Benjamin J. , Hogg Anna E. , Meredith Michael P. , Close Romilly , Hardy Dominic , McMillan Malcolm , Wuite Jan , Nagler Thomas , Moffat Carlos 
Published: November 2023

AbstractIce dynamic change is the primary cause of mass loss from the Antarctic Ice Sheet, thus it is important to understand the processes driving ice-ocean interactions and the timescale on which major change can occur. Here we use satellite observations to measure a rapid increase in speed and collapse of the ice shelf fronting Cadman Glacier in the absence of surface meltwater ponding. Between November 2018 and December 2019 ice speed increased by 94 ± 4% (1.47 ± 0.6 km/yr), ice discharge increased by 0.52 ± 0.21 Gt/yr, and the calving front retreated by 8 km with dynamic thinning on grounded ice of 20.1 ± 2.6 m/yr. This change was concurrent with a positive temperature anomaly in the upper ocean, where a 400 m deep channel allowed warm water to reach Cadman Glacier driving the dynamic activation, while neighbouring Funk and Lever Glaciers were protected by bathymetric sills across their fjords. Our results show that forcing by warm ocean water can cause the rapid onset of dynamic imbalance and increased ice discharge from glaciers on the Antarctic Peninsula, highlighting the region’s sensitivity to future climate variability.
Proteomic characterization of epithelial ovarian cancer delineates molecular signatures and therapeutic targets in distinct histological subtypes
Authors: Gong Ting-Ting , Guo Shuang , Liu Fang-Hua , Huo Yun-Long , Zhang Meng , Yan Shi , Zhou Han-Xiao , Pan Xu , Wang Xin-Yue , Xu He-Li , Kang Ye , Li Yi-Zi , Qin Xue , Xiao Qian , Huang Dong-Hui , Li Xiao-Ying , Zhao Yue-Yang , Zhao Xin-Xin , Wang Ya-Li , Ma Xiao-Xin , Gao Song , Zhao Yu-Hong , Ning Shang-Wei , Wu Qi-Jun 
Published: November 2023

AbstractClear cell carcinoma (CCC), endometrioid carcinoma (EC), and serous carcinoma (SC) are the major histological subtypes of epithelial ovarian cancer (EOC), whose differences in carcinogenesis are still unclear. Here, we undertake comprehensive proteomic profiling of 80 CCC, 79 EC, 80 SC, and 30 control samples. Our analysis reveals the prognostic or diagnostic value of dysregulated proteins and phosphorylation sites in important pathways. Moreover, protein co-expression network not only provides comprehensive view of biological features of each histological subtype, but also indicates potential prognostic biomarkers and progression landmarks. Notably, EOC have strong inter-tumor heterogeneity, with significantly different clinical characteristics, proteomic patterns and signaling pathway disorders in CCC, EC, and SC. Finally, we infer MPP7 protein as potential therapeutic target for SC, whose biological functions are confirmed in SC cells. Our proteomic cohort provides valuable resources for understanding molecular mechanisms and developing treatment strategies of distinct histological subtypes.
Programmable catalysis by support polarization: elucidating and breaking scaling relations
Authors: Jung Seongjoo , Pizzolitto Cristina , Biasi Pierdomenico , Dauenhauer Paul J. , Birol Turan 
Published: November 2023

AbstractThe Sabatier principle and the scaling relations have been widely used to search for and screen new catalysts in the field of catalysis. However, these powerful tools can also serve as limitations of catalyst control and breakthrough. To overcome this challenge, this work proposes an efficient method of studying catalyst control by support polarization from first-principles. The results demonstrate that the properties of catalysts are determined by support polarization, irrespective of the magnitude of spontaneous polarization of support. The approach enables elucidating the scaling relations between binding energies at various polarization values of support. Moreover, we observe the breakdown of scaling relations for the surface controlled by support polarization. By studying the surface electronic structure and decomposing the induced charge into contributions from different atoms and orbitals, we identify the inherent structural property of the interface that leads to the breaking of the scaling relations. Specifically, the displacements of the underlying oxide support impose its symmetry on the catalyst, causing the scaling relations between different adsorption sites to break.
Early reading at first grade predicts adult reading at age 42 in typical and dyslexic readers
Authors: Ferrer Emilio , Shaywitz Bennett A. , Holahan John M. , Shaywitz Sally E. 
Published: November 2023

AbstractResearch indicates that the achievement gap in reading between typical and dyslexic readers is already evident in first grade and persists through adolescence. However, it is not known whether this reading gap persists into adult life. In this report we use an epidemiologic sample of 312 children (typical readers = 246; dyslexic readers = 66), followed longitudinally from age 5 through adulthood and examine two fundamental questions: 1) Is reading level in 1st grade predictive of reading proficiency in adulthood in typical and dyslexic readers? and 2) Are the trajectories of reading development from 1st through 5th grade predictive of reading proficiency in adulthood in typical and dyslexic readers? Our findings indicate that early reading levels in 1st grade as well as the trajectory of reading development through the first five years of school were associated with reading scores in adulthood. This association was stronger for dyslexic than for typical readers, especially the latter factor. These findings indicate that the achievement gap between typical and dyslexic readers persists far beyond adolescence, in fact, into adult life.
Low-cost UAV detection via WiFi traffic analysis and machine learning
Authors: Bi Longtao , Xu Zi-Xin , Yang Ling 
Published: November 2023

AbstractIn recent years, unmanned aerial vehicles (UAVs) have undergoing experienced remarkable advancements. Nevertheless, the growing utilization of UAVs brings forth potential security threats to the public, particularly in private and sensitive locales. To address these emerging hazards, we introduce a low-cost, three-stage UAV detection framework for monitoring invading UAVs in vulnerable zones. This framework devised through an exhaustive investigation of the Chinese UAV market. Various scenarios were examined to evaluate the effectiveness of the framework, and it was subsequently implemented on a portable board. Experiments demonstrated that the proposed framework can detect invading UAVs at an early stage, even in stealthy mode. As such, the framework has the potential to be applied in the formulation of a portable surveillance system for a UAV-restricted region.
Comparison of hydraulic, pneumatic and electric linear actuation systems
Authors: Pustavrh Jan , Hočevar Marko , Podržaj Primož , Trajkovski Ana , Majdič Franc 
Published: November 2023

AbstractDifferent applications or industries use different systems for linear actuation, such as hydraulic, pneumatic or electric. Electric systems are becoming increasingly popular and are already replacing hydraulic systems in various applications. These are known to be potentially harmful to the environment, as large amounts of fluid can be released into the environment in the event of a pipe burst or other accident. This paper presents the results of a comparison between hydraulic, pneumatic and electric systems under variable conditions but with similar loads in all three systems. The common feature of all three systems is the input power, which was limited to 1.1 kW. There was no hydraulic accumulator in the hydraulic system and no pressure vessel in the pneumatic system, so no stored energy could influence the system behaviour or results. The main difference between the systems studied was the profile of displacement and power consumption. The most consistent response and lowest power consumption were obtained with the electric system, although both hydraulic and pneumatic systems can achieve consistent response with some modifications.
PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features
Authors: Chandra Abel , Sharma Alok , Dehzangi Iman , Tsunoda Tatsuhiko , Sattar Abdul 
Published: November 2023

AbstractProtein–peptide interactions play a crucial role in various cellular processes and are implicated in abnormal cellular behaviors leading to diseases such as cancer. Therefore, understanding these interactions is vital for both functional genomics and drug discovery efforts. Despite a significant increase in the availability of protein–peptide complexes, experimental methods for studying these interactions remain laborious, time-consuming, and expensive. Computational methods offer a complementary approach but often fall short in terms of prediction accuracy. To address these challenges, we introduce PepCNN, a deep learning-based prediction model that incorporates structural and sequence-based information from primary protein sequences. By utilizing a combination of half-sphere exposure, position specific scoring matrices from multiple-sequence alignment tool, and embedding from a pre-trained protein language model, PepCNN outperforms state-of-the-art methods in terms of specificity, precision, and AUC. The PepCNN software and datasets are publicly available athttps://github.com/abelavit/PepCNN.git.
Spectrum of severity of multisystem inflammatory syndrome in children: an EHR-based cohort study from the RECOVER program
Authors: Rao Suchitra , Jing Naimin , Liu Xiaokang , Lorman Vitaly , Maltenfort Mitchell , Schuchard Julia , Wu Qiong , Tong Jiayi , Razzaghi Hanieh , Mejias Asuncion , Lee Grace M. , Pajor Nathan M. , Schulert Grant S. , Thacker Deepika , Jhaveri Ravi , Christakis Dimitri A. , Bailey L. Charles , Forrest Christopher B. , Chen Yong 
Published: November 2023

AbstractMulti-system inflammatory syndrome in children (MIS-C) is a severe post-acute sequela of SARS-CoV-2 infection in children, and there is a critical need to unfold its highly heterogeneous disease patterns. Our objective was to characterize the illness spectrum of MIS-C for improved recognition and management. We conducted a retrospective cohort study using data from March 1, 2020–September 30, 2022, in 8 pediatric medical centers from PEDSnet. We included 1139 children hospitalized with MIS-C and used their demographics, symptoms, conditions, laboratory values, and medications for analyses. We applied heterogeneity-adaptive latent class analyses and identified three latent classes. We further characterized the sociodemographic and clinical characteristics of the latent classes and evaluated their temporal patterns. Class 1 (47.9%) represented children with the most severe presentation, with more admission to the ICU, higher inflammatory markers, hypotension/shock/dehydration, cardiac involvement, acute kidney injury and respiratory involvement. Class 2 (23.3%) represented a moderate presentation, with 4–6 organ systems involved, and some overlapping features with acute COVID-19. Class 3 (28.8%) represented a mild presentation. Our results indicated that MIS-C has a spectrum of clinical severity ranging from mild to severe and the proportion of severe or critical MIS-C decreased over time.
Linking African ancestral substructure to prostate cancer health disparities
Authors: Gheybi Kazzem , Mmekwa Naledi , Lebelo Maphuti Tebogo , Patrick Sean M. , Campbell Raymond , Nenzhelele Mukudeni , Soh Pamela X. Y. , Obida Muvhulawa , Loda Massimo , Shirindi Joyce , Butler Eboneé N. , Mutambirwa Shingai B. A. , Bornman M. S. Riana , Hayes Vanessa M. 
Published: November 2023

AbstractProstate cancer (PCa) is a significant health burden in Sub-Saharan Africa, with mortality rates loosely linked to African ancestry. Yet studies aimed at identifying contributing risk factors are lacking within the continent and as such exclude for significant ancestral diversity. Here, we investigate a series of epidemiological demographic and lifestyle risk factors for 1387 men recruited as part of the multi-ethnic Southern African Prostate Cancer Study (SAPCS). We found poverty to be a decisive factor for disease grade and age at diagnosis, with other notably significant PCa associated risk factors including sexually transmitted diseases, erectile dysfunction, gynaecomastia, and vertex or complete pattern balding. Aligned with African American data, Black ethnicity showed significant risk for PCa diagnosis (OR = 1.44, 95% CI 1.05–2.00), and aggressive disease presentation (ISUP ≥ 4: OR = 2.25, 95% CI   1.49–3.40). New to this study, we demonstrate African ancestral population substructure associated PCa disparity, observing increased risk for advanced disease for the southern African Tsonga people (ISUP ≥ 4: OR = 3.43, 95% CI   1.62–7.27). Conversely, South African Coloured were less likely to be diagnosed with aggressive disease overall (ISUP ≥ 3: OR = 0.38, 95% 0.17–0.85). Understanding the basis for PCa health disparities calls for African inclusion, however, lack of available data has limited the power to begin discussions. Here, focusing on arguably the largest study of its kind for the African continent, we draw attention to the contribution of within African ancestral diversity as a contributing factor to PCa health disparities within the genetically diverse region of southern Africa.
Aesthetic emotions are affected by context: a psychometric network analysis
Authors: Kenett Yoed N. , Cardillo Eileen R. , Christensen Alexander P. , Chatterjee Anjan 
Published: November 2023

AbstractAesthetic emotions are defined as emotions arising when a person evaluates a stimulus for its aesthetic appeal. Whether these emotions are unique to aesthetic activities is debated. We address this debate by examining if recollections of different types of engaging activities entail different emotional profiles. A large sample of participants were asked to recall engaging aesthetic (N = 167), non-aesthetic (N = 160), or consumer (N = 172) activities. They rated the extent to which 75 candidate aesthetic emotions were evoked by these activities. We applied a computational psychometric network approach to represent and compare the space of these emotions across the three conditions. At the behavioral level, recalled aesthetic activities were rated as the least vivid but most intense compared to the two other conditions. At the network level, we found several quantitative differences across the three conditions, related to the typology, community (clusters) and core nodes (emotions) of these networks. Our results suggest that aesthetic and non-aesthetic activities evoke emotional spaces differently. Thus, we propose that aesthetic emotions are distributed differently in a multidimensional aesthetic space than for other engaging activities. Our results highlight the context-specificity of aesthetic emotions.
Substitution spectra of SARS-CoV-2 genome from Pakistan reveals insights into the evolution of variants across the pandemic
Authors: Ashraf Javaria , Bukhari Sayed Ali Raza Shah , Kanji Akbar , Iqbal Tulaib , Yameen Maliha , Nisar Muhammad Imran , Khan Waqasuddin , Hasan Zahra 
Published: November 2023

AbstractChanging morbidity and mortality due to COVID-19 across the pandemic has been linked with factors such as the emergence of SARS-CoV-2 variants and vaccination. Mutations in the Spike glycoprotein enhanced viral transmission and virulence. We investigated whether SARS-CoV-2 mutation rates and entropy were associated COVID-19 in Pakistan, before and after the introduction of vaccinations. We analyzed 1,705 SARS-CoV-2 genomes using the Augur phylogenetic pipeline. Substitution rates and entropy across the genome, and in the Spike glycoprotein were compared between 2020, 2021 and 2022 (as periods A, B and C). Mortality was greatest in B whilst cases were highest during C. In period A, G clades were predominant, and substitution rate was 5.25 × 10–4 per site per year. In B, Delta variants dominated, and substitution rates increased to 9.74 × 10–4. In C, Omicron variants led to substitution rates of 5.02 × 10–4. Genome-wide entropy was the highest during B particularly, at Spike E484K and K417N. During C, genome-wide mutations increased whilst entropy was reduced. Enhanced SARS-CoV-2 genome substitution rates were associated with a period when more virulent SARS-CoV-2 variants were prevalent. Reduced substitution rates and stabilization of genome entropy was subsequently evident when vaccinations were introduced. Whole genome entropy analysis can help predict virus evolution to guide public health interventions.
Accuracy of facial skeletal surfaces segmented from CT and CBCT radiographs
Authors: Ghamri Mohammed , Dritsas Konstantinos , Probst Jannis , Jäggi Maurus , Psomiadis Symeon , Schulze Ralf , Verna Carlalberta , Katsaros Christos , Halazonetis Demetrios , Gkantidis Nikolaos 
Published: November 2023

AbstractThe accuracy of three-dimensional (3D) facial skeletal surface models derived from radiographic volumes has not been extensively investigated yet. For this, ten human dry skulls were scanned with two Cone Beam Computed Tomography (CBCT) units, a CT unit, and a highly accurate optical surface scanner that provided the true reference models. Water-filled head shells were used for soft tissue simulation during radiographic imaging. The 3D surface models that were repeatedly segmented from the radiographic volumes through a single-threshold approach were used for reproducibility testing. Additionally, they were compared to the true reference model for trueness measurement. Comparisons were performed through 3D surface approximation techniques, using an iterative closest point algorithm. Differences between surface models were assessed through the calculation of mean absolute distances (MAD) between corresponding surfaces and through visual inspection of facial surface colour-coded distance maps. There was very high reproducibility (approximately 0.07 mm) and trueness (0.12 mm on average, with deviations extending locally to 0.5 mm), and no difference between radiographic scanners or settings. The present findings establish the validity of lower radiation CBCT imaging protocols at a similar level to the conventional CT images, when 3D surface models are required for the assessment of facial morphology.
Characterization of the TCRβ repertoire of peripheral MR1-restricted MAIT cells in psoriasis vulgaris patients
Authors: Jirouš Drulak Maja , Grgić Zvonimir , Plužarić Vera , Šola Marija , Opačak-Bernardi Teuta , Viljetić Barbara , Glavaš Kristina , Tolušić-Levak Maja , Periša Vlatka , Mihalj Martina , Štefanić Mario , Tokić Stana 
Published: November 2023

AbstractPsoriasis vulgaris (PV) is an inflammatory skin disease largely driven by aberrant αβT cells. Mucosal-associated invariant T (MAIT) cells, which constitute the largest circulating innate-like αβT cell community in human adults, are characterized by a semi-invariant TCRVα7.2 receptor and MR1-restricted affinity toward microbial metabolites. Limited MAIT TCRα diversity is complemented by a more variable TCRβ repertoire, but its footprint in the MAIT repertoire of PV patients has never been tested. Here, we used bulk TCRSeq, MiXCR, VDJTools, and Immunarch pipelines to decipher and compare TCRβ clonotypes from flow-sorted, peripheral TCRVα7.2+MR1-5-OP-RU-tet+MAIT cells from 10 PV patients and 10 healthy, matched controls. The resulting TCRβ collections were highly private and individually unique, with small public clonotype content and high CDR3β amino acid length variability in both groups. The age-related increase in the ‘hyperexpanded’ clonotype compartment was observed in PV, but not in healthy MAIT repertoires. The TCRβ repertoires of PV patients were also marked by skewed TRBV/TRBJ pairing, and the emergence of PV-specific, public CDR3β peptide sequences closely matching the published CDR3β record from psoriatic skin. Overall, our study provides preliminary insight into the peripheral MAIT TCRβ repertoire in psoriasis and warrants further evaluation of its diagnostic and clinical significance.
Estimating functions for visual field progression in newly diagnosed exfoliation glaucoma patients in Sweden
Authors: Ayala Marcelo 
Published: November 2023

AbstractThis study aimed to determine whether glaucoma progression was linear or not in newly diagnosed exfoliation glaucoma patients. A total of 96 patients with newly diagnosed exfoliation glaucoma were included. These patients were required to undergo at least seven visual field tests within 3 years (± 1 month), and all were treated at the time of inclusion. The study was a non-randomized, prospective cohort study. The outcome of the study was visual field progression. Progression was assessed based on mean deviation (MD), visual field index (VFI), and “Guided Progression Analysis”. The MD and VFI values were plotted against time, and distribution and curve fit were calculated. The results showed that the general rate of progression of the cohort was − 3.84 (± 2.61) dB for the MD values and 9.66 (± 6.25)% for the VFI values over 3 years. The best-fitted curve for MD and VFI values in the 36 months period was significant for both linear and exponential curves (p ≤ 0.001; p ≤ 0.001). However, in the MD group, the F and the R2 values were higher for exponential than for linear function (linear: F = 42.60, R2 = 0.059; exponential: F = 53.26, R2 = 0.073). The opposite results were found among VFI values. The F and the R2 values were slightly better for linear than for exponential (linear: F = 37.22, R2 = 0.052; exponential: F = 35.55, R2 = 0.050). In conclusion, the study found that visual field progression between diagnosis and 18 months seemed to be exponential. However, after 18 months, the IOP reduction effects probably ameliorated progression, making the curve linear.