bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subduction Zone Obliquity Dictates Global Trench‐Parallel Inner Forearc Deformation
Authors: Morell Kristin D. , Gilroy Kellan , Finley Theron , Harrichhausen Nicolas 
Published: February 2025

AbstractAlthough subduction zones are characterized by convergence, the upper plates of subduction zones exhibit a diverse range of deformation styles that are often inconsistent with regional convergence. While several theories have been proposed to explain these variations, the underlying factors driving these differences are still not fully understood. In this study, we analyze 24,000 km of active global subduction zones around the globe to determine how subduction zone obliquity affects deformation in the trench‐parallel and horizontal directions on land above subduction zones. We take advantage of recently published worldwide data sets of Global Navigation Satellite System (GNSS) velocities and global active fault catalogs in order to examine deformation at 13 of the world's forearcs. We analyze deformation over both short (decadal) timescales, captured by GNSS, and long (millennial to million‐year) timescales, observed through trench‐parallel active forearc faults. The results reveal a strong link between subduction obliquity and both the sense and amount of forearc rotation detected by GNSS, as well as the sense and rate of deformation along trench‐parallel strike‐slip faults. Unlike previous studies indicating that subduction obliquity affects forearc deformation only beyond a certain threshold, we demonstrate that even low to moderate obliquity significantly influences the observed deformation.
Characteristics of Regional Hourly Extreme Precipitation With Different Durations Over the Northeast Plain, China During Summer
Authors: Yu Yaxin , Xu Xiaoke , Yan Qi , Lu Jinglong , Yu Yue 
Published: February 2025

AbstractRegional extreme precipitation events (REPEs) are the focus of current research with a large coverage long‐term duration. The characteristics of REPE in the summer remain unclear over the Northeast Plain of China (NPC), one of the only four major black soil distribution areas in the world. This study investigates the spatial, diurnal, sub‐seasonal and long‐term trend characteristics of REPE over NPC in the summer of 2000–2020 based on the Multi‐satellite Retrievals precipitation data GPM‐IMERG. The results show that the amount and intensity of total REPE increase from north to south of NPC in the summer of 2000–2020 and the frequency of total REPE mainly concentrates in the middle of NPC. The primary peak of the total REPE amount is at 18:00 (BJT) with a large centre cross the middle of NPC. The secondary peak is between 2:00 (BJT) and 5:00 (BJT) with the large centre located in the southern NPC. The REPE mainly happens in the summer months of July‐August during 2000–2020 over NPC, and the large centre of amount and intensity locates in the southern NPC. The intensity of total REPE exhibits a significantly increase during the summer of 2000–2020. The amount, frequency, and intensity of REPE with a duration of more than 19 hr show the significant enhancement. The findings of this study provide the basic features of REPE over NPC in summer on an hourly scale.
Geospatial Analysis of Food Insecurity and Adverse Human Health Outcomes in the United States
Authors: Joseph Naveen 
Published: February 2025

AbstractPrevious studies have reported that around 33 million people in the United States are food insecure, potentially leading to several health outcomes. This study aimed to evaluate the geospatial variation of food insecurity and its association with adverse human health outcomes at the state resolution in the United States. The adverse human health outcomes include diabetes and cardiovascular diseases. Data sets on diabetes and cardiovascular diseases were compiled from the Centers for Disease Control and Prevention Wonder database on chronic conditions. The food insecurity data was accessed from the USDA, which compiles the responses to household surveys from the Census Bureau. Mixed‐effects regression models were used in this study to analyze the relationships between food insecurity and diabetes, and food insecurity and cardiovascular diseases. The incidence rate ratio was also estimated with 95% confidence intervals for both diabetes and cardiovascular diseases, comparing high food insecurity profiles to low food insecurity profiles. Food insecurity, diabetes, and cardiovascular diseases showed significantly higher rates in the southern part of the United States relative to other regions. Food insecurity showed significant associations with diabetes and cardiovascular diseases at a p‐value < 0.001. The 95% confidence interval of the incidence rate ratio was estimated as [1.198 1.234] for diabetes incidence and [1.033 1.091] for cardiovascular diseases, indicating a significant increase in both health outcomes while moving from a low food insecurity to a high food insecurity profile.
Development of Permeability Heterogeneity During Compaction of Porous Sandstone
Authors: Brantut Nicolas , Baud Patrick 
Published: February 2025

AbstractWe aimed to establish how permeability heterogeneities develop in relation to compaction deformation in sandstone. Three sandstones were tested in the compactant regime: Locharbriggs sandstone, which is initially heterogeneous with beds of lower initial permeability; a low porosity (22%) Bleurswiller sandstone, which is initially homogeneous and produces localized compaction bands; a high porosity (24%) Bleurswiller sandstone, also homogeneous but producing compaction in a more diffused pattern. We monitored acoustic emission locations and elastic wave speed variations throughout deformation. In addition, at regular stages during each test, a constant pore pressure difference was imposed at the boundaries of the samples, and steady‐state flow was established. Internal pore pressure measurements at four locations allowed us to derive local permeability estimates. In all samples, progressive compaction produced overall reductions in permeability. In addition, localized compaction also produced internal reorganization of the permeability structure. Strong permeability reductions in the direction perpendicular to flow, by up to two orders of magnitude, are only observed when fully connected compaction bands grow across samples. Compaction and permeability reduction preferentially impacted the more porous and permeable regions of the samples, which lead to an overall homogenization of the transport properties of the samples during deformation. Compaction results from grain crushing, and is directly linked to progressive reductions in elastic wave speed. However, the impact of compaction on permeability depends strongly on the spatial connectivity of the compacted regions.
Crop Residue Burning in North‐Western India: Emission Estimation and Uncertainty Quantification
Authors: Ambulkar Rupal , Govardhan Gaurav , Gavhale Srujan , Kalita Gayatry , Pande Chaitanya , Jat Rajmal , Kulkarni Santosh , Khare Manoj , Attri S. D. , Ghude Sachin D. 
Published: February 2025

AbstractAir quality in India faces significant risk from agricultural residue burning, especially in Punjab and Haryana, which are pivotal to the world's second‐largest agrarian economy. This study quantifies emissions from post‐monsoon biomass burning (10 October–30 November 2022) in these states using VIIRS fire detection data and Sentinel‐2‐derived burnt areas. Ground validation via district‐level surveys aligns with the findings of our study. Results show 51% of the total crop area was burned (14,700 km2 in Punjab; 8,300 km2 in Haryana), leading to substantial emissions of PM2.5 (54.28 Gg; 7.94 Gg), CH4 (25.63 Gg; 3.75 Gg), CO2 (1,100.3 Gg; 195.7 Gg), NH3 (0.83 Gg; 0.15 Gg), SO2 (0.68 Gg; 0.12 Gg), and CO (62.1 Gg; 11.04 Gg). Emissions in Punjab are about 6.5 times higher than in Haryana attributable to greater burnt area (∼14,700 km2), higher crop yield, and elevated residue‐to‐crop ratios. Compared to VIIRS, Sentinel‐2 data provides approximately 3.6 times higher emission estimates, reflecting improved burnt area detection. District‐level emission variations underscore the influence of diverse farming practices, weather, and residue management. An uncertainty analysis, derived from multiple emissions estimates and methodologies, highlights regional disparities: SO2 exhibits the highest uncertainty in both states with PM2.5 and CO, respectively, showing the least. Understanding these emissions and uncertainties is vital for forecasting air pollution in downwind cities such as New Delhi and for formulating targeted mitigation strategies.
Combining Local Head Differences and Topography‐Driven Groundwater Flow Reveals Gaining and Losing Patterns in Stream Networks
Authors: Huang Xiaohua , Ebeling Pia , Liu Guodong , Fleckenstein Jan H. , Schmidt Christian 
Published: February 2025

AbstractThe exchange between surface water (SW) and groundwater (GW) influences water availability and ecosystems in stream networks. Assessing GW‐SW interactions can be based on various methods at different scales, such as point scale (e.g., local head differences, temperature profiles), reach scale (e.g., environmental tracers, water mass balance), and catchment scale (topographical‐driven groundwater flow), which all have distinct advantages and limitations. In this study, we combined the analysis of local hydraulic head differences with regional topographical‐driven groundwater flow to robustly reveal gaining and losing stream patterns in two study regions in Central Germany (Bode catchment and Free State of Thuringia). To evaluate local hydraulic gradients, we developed a method for estimating surface water levels across stream networks by modifying surface elevations from a coarse digital elevation model (25 m) and compared these to measured groundwater levels. Our results reveal prevalent occurrences of losing streams. Numerous stream locations are characterized by mismatching classifications from the two methods providing additional insights for understanding water cycles. The most notable discrepancy is the classification as losing based on head differences and gaining from topographic analyses accounting for 37% and 47% of the stream locations in Thuringia and in Bode catchment. This mismatch indicates anthropogenically lowered groundwater levels, typically occurring in urban and mining areas in the study areas. Our approach, combining local hydraulic head analysis and topographical‐driven groundwater flow enhances the understanding of gaining and losing stream patterns at catchment scale, revealing widespread occurrences of losing streams and highlighting the significance of anthropogenic influences on water cycles.
The 14-year cumulative genetic high blood pressure and risk of type 2 diabetes in Korean: observational and Mendelian randomization evidence
Authors: Jeon Jooeun , Jung Keum Ji , Kimm Heejin , Lee Ji-young , Nam Chung-Mo , Jee Sun Ha 
Published: February 2025

Abstract
This study aims to evaluate the causal association of blood pressure (BP) with type 2 diabetes (T2D) and assess the cumulative effect of genetic predisposition of high BP or glycemic for future clinical in Korea. To assess the bidirectional causal association between fasting blood sugar (FBS) and systolic blood pressure (SBP) in the large biobank, five MR methods (a 2-stage least squares (2SLS) regression, inverse-variance weighted (IVW), 2 median-based (simple and weighted) and MR-Egger) were applied using the weighted genetic risk score (wGRS). A bidirectional causality was found in all five methods, and there was no horizontal pleiotropy. Using the 2SLS regression method, genetically determined 10 mm/Hg elevation of SBP caused an increased 0.63 mmol/L FBS (p < 0.0001). Men had a particularly strong bidirectional causal relationship. Distinct predicted trajectories based on genetically determined SBP and FBS levels were identified using group-based trajectory modeling (GBTM). To assess the risk of subsequent hypertension or T2D in each trajectory, the Cox proportional hazard model, and adjusted covariates (including wGRS) were conducted. An uncontrol predicted SBP pattern (fluctuated plot) had a higher risk of subsequence T2D than a control-predicted pattern (HR: 1.25, 95% CI: 1.00–1.58). In the Korean middle-aged, it was significantly demonstrated that there is a bidirectional causality between high BP and T2D, which is different from previous studies in Europe. Specially, cumulative high blood pressure predisposition by the genetic variants may affect to risk of T2D incidence. Prevention of high BP must be followed in lifespan.
Converging mechanism of UM171 and KBTBD4 neomorphic cancer mutations
Authors: Xie Xiaowen , Zhang Olivia , Yeo Megan J. R. , Lee Ceejay , Tao Ran , Harry Stefan A. , Payne N. Connor , Nam Eunju , Paul Leena , Li Yiran , Kwok Hui Si , Jiang Hanjie , Mao Haibin , Hadley Jennifer L. , Lin Hong , Batts Melissa , Gosavi Pallavi M. , D’Angiolella Vincenzo , Cole Philip A. , Mazitschek Ralph , Northcott Paul A. , Zheng Ning , Liau Brian B. 
Published: February 2025

Abstract
Cancer mutations can create neomorphic protein–protein interactions to drive aberrant function1,2. As a substrate receptor of the CULLIN3-RING E3 ubiquitin ligase complex, KBTBD4 is recurrently mutated in medulloblastoma3, the most common embryonal brain tumour in children4. These mutations impart gain-of-function to KBTBD4 to induce aberrant degradation of the transcriptional corepressor CoREST5. However, their mechanism remains unresolved. Here we establish that KBTBD4 mutations promote CoREST degradation through engaging HDAC1/2 as the direct target of the mutant substrate receptor. Using deep mutational scanning, we chart the mutational landscape of the KBTBD4 cancer hotspot, revealing distinct preferences by which insertions and substitutions can promote gain-of-function and the critical residues involved in the hotspot interaction. Cryo-electron microscopy analysis of two distinct KBTBD4 cancer mutants bound to LSD1–HDAC1–CoREST reveals that a KBTBD4 homodimer asymmetrically engages HDAC1 with two KELCH-repeat β-propeller domains. The interface between HDAC1 and one of the KBTBD4 β-propellers is stabilized by the medulloblastoma mutations, which insert a bulky side chain into the HDAC1 active site pocket. Our structural and mutational analyses inform how this hotspot E3–neosubstrate interface can be chemically modulated. First, we unveil a converging shape-complementarity-based mechanism between gain-of-function E3 mutations and a molecular glue degrader, UM171. Second, we demonstrate that HDAC1/2 inhibitors can block the mutant KBTBD4–HDAC1 interface and proliferation of KBTBD4-mutant medulloblastoma cells. Altogether, our work reveals the structural and mechanistic basis of cancer mutation-driven neomorphic protein–protein interactions.
Transcriptional adaptation upregulates utrophin in Duchenne muscular dystrophy
Authors: Falcucci Lara , Dooley Christopher M. , Adamoski Douglas , Juan Thomas , Martinez Justin , Georgieva Angelina M. , Mamchaoui Kamel , Cirzi Cansu , Stainier Didier Y. R. 
Published: February 2025

Abstract
Duchenne muscular dystrophy (DMD) is a muscle-degenerating disease caused by mutations in the DMD gene, which encodes the dystrophin protein1,2. Utrophin (UTRN), the genetic and functional paralogue of DMD, is upregulated in some DMD patients3–5. To further investigate this UTRN upregulation, we first developed an inducible messenger RNA (mRNA) degradation system for DMD by introducing a premature termination codon (PTC) in one of its alternatively spliced exons. Inclusion of the PTC-containing exon triggers DMD mutant mRNA decay and UTRN upregulation. Notably, blocking nonsense-mediated mRNA decay results in the reversal of UTRN upregulation, whereas overexpressing DMD does not. Furthermore, overexpressing DMD

PTC
minigenes in wild-type cells causes UTRN upregulation, as does a wild-type DMD minigene containing a self-cleaving ribozyme. To place these findings in a therapeutic context, we used splice-switching antisense oligonucleotides (ASOs) to induce the skipping of out-of-frame exons of DMD, aiming to introduce PTCs. We found that these ASOs cause UTRN upregulation. In addition, when using an ASO to restore the DMD reading frame in myotubes derived from a DMD
patient, an actual DMD treatment, UTRN upregulation was reduced. Altogether, these results indicate that an mRNA decay-based mechanism called transcriptional adaptation6–8 plays a key role in UTRN upregulation in DMD
patients, and they highlight an unexplored therapeutic application of ASOs, as well as ribozymes, in inducing genetic compensation via transcriptional adaptation.
Multimodal dataset for indoor 3D drone tracking
Authors: Rosner Jakub , Krzeszowski Tomasz , Świtoński Adam , Josiński Henryk , Lindenheim-Locher Wojciech , Zieliński Michał , Paleta Grzegorz , Paszkuta Marcin , Wojciechowski Konrad 
Published: February 2025

Abstract
The subject of the paper is a multimodal dataset (DPJAIT) containing drone flights prepared in two variants – simulation-based and with real measurements captured by the gold standard Vicon system. It contains video sequences registered by the synchronized and calibrated multicamera set as well as reference 3D drone positions in successive time instants obtained from simulation procedure or using the motion capture technique. Moreover, there are scenarios with ArUco markers in the scene with known 3D positions and RGB cameras mounted on drones for which internal parameters are given. Three applications of 3D tracking are demonstrated. They are based on the overdetermined set of linear equations describing camera projection, particle swarm optimization, and the determination of the extrinsic matrix of the camera attached to the drone utilizing recognized ArUco markers.
Optimization design of cross border intelligent marketing management model based on multi layer perceptron-grey wolf optimization convolutional neural network
Authors: Lin Zongping , Yang Jing , Lian Yabin , Chen Yanhong , Huang Zhonghui , Ning Kexin 
Published: February 2025

Abstract
The cross-border intelligent marketing algorithm based on traditional linear models is relatively single in information feature extraction, making it difficult to effectively handle complex scenarios containing a large amount of implicit information in users and markets, resulting in poor personalized marketing effectiveness. To address this issue, this article proposes a cross-border intelligent marketing model that integrates rating information and user labels using a multi-layer perceptron grey wolf optimization and convolutional neural network (MLP-GWO-CNN). This model extracts implicit high-order information through nonlinear methods and can handle complex and sparse marketing data. Firstly, a dual path deep network structure was designed, in which one path was modeled using a multi-layer perceptron (MLP) to extract user interest features based on historical interaction ratings; Another path utilizes Convolutional Neural Networks (CNN) to extract semantic features from user label information and construct item feature representations. In response to the sensitivity of MLP algorithm to initial values and its tendency to fall into local optima, this paper uses GWO algorithm to optimize MLP. Next, the latent feature vectors generated by MLP and CNN are fused in the output layer to generate the final predictive marketing strategy last. Experiments were conducted using a real cross-border e-commerce dataset, and the results showed that compared with traditional recommendation algorithms, the MLP-GWO-CNN model proposed in this paper performs better in utilizing user tag information, effectively improving the accuracy and personalization of marketing recommendations. The accuracy of the model is over 89%, and the recall rate is over 90%.
Multidecadal hydroclimate responses to volcanic forcing in the Mid-Holocene
Authors: Azharuddin Syed , Omine Kanako , Masaka Kosuke , Asami Ryuji , Lone Mahjoor Ahmad , Chou Yu-Chen , Shen Chuan-Chou , Uemura Ryu 
Published: February 2025

Abstract
The impact of volcanic and solar forcings on multi-decadal climate change during the Holocene remains unclear. Here, we analysed the stable isotopes of fluid inclusions in a stalagmite to investigate hydroclimate responses to the forcings in the Northwest Pacific region. Our stalagmite data, covering the active volcanism period in the mid-Holocene, showed that the start of large volcanic eruption clusters tends to coincide with an onset or an ongoing cooling phase. The impact of one of the largest volcanic eruptions during the Holocene, likely at Kikai caldera, is recorded as an amplified multi-decadal scale variation, including a noticeable cold-wet climate anomaly. Excluding this anomalous period, the solar forcing record negatively correlated with stalagmite-derived precipitation but not with stalagmite-derived temperature. Our data suggest that clusters of volcanic activity during the mid-Holocene likely contribute to climate change at multi-decadal scale via a teleconnection between the Northwest Pacific and the North Atlantic regions.
Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
Authors: Stock Marco , Losert Corinna , Zambon Matteo , Popp Niclas , Lubatti Gabriele , Hörmanseder Eva , Heinig Matthias , Scialdone Antonio 
Published: February 2025

Abstract
Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for understanding complex cellular regulation. However, the inherent noise and sparsity of scRNA-seq data present significant challenges to accurate GRN inference. This review explores one promising approach that has been proposed to address these challenges: integrating prior knowledge into the inference process to enhance the reliability of the inferred networks. We categorize common types of prior knowledge, such as experimental data and curated databases, and discuss methods for representing priors, particularly through graph structures. In addition, we classify recent GRN inference algorithms based on their ability to incorporate these priors and assess their performance in different contexts. Finally, we propose a standardized benchmarking framework to evaluate algorithms more fairly, ensuring biologically meaningful comparisons. This review provides guidance for researchers selecting GRN inference methods and offers insights for developers looking to improve current approaches and foster innovation in the field.
Human perception and response to sound from unmanned aircraft systems within ambient acoustic environments
Authors: Lotinga Michael J. B. , Green Marc C. , Torija Antonio J. 
Published: February 2025

Abstract
Potential opportunities for unmanned aircraft systems (UAS) to offer societal benefits are accompanied by noise impact risks. Accordingly, it is important to develop greater understanding of perception and response to UAS sound. A laboratory listening experiment was undertaken to address this aim by investigating psychoacoustics of UAS sound exposure. The experiment incorporated contextual auditory and soundscape factors by embedding spatially-rendered UAS sounds within urban acoustic environments. The UAS covered varying aircraft designs, operating modes and numbers of flights. The experiment was focussed on determining noticeability and noise annoyance. The results indicate that annoyance responses were influenced by UAS type, operational mode, sound characteristics, quantities of flights, and the ambient acoustic environments in which UAS events occurred. Annoyance also appeared to have associations with personal attitude towards advanced air mobility technology, and with classification of residence area. Noticeability appeared to be influenced by UAS type, operating mode, loudness and ambient environment.