bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nature-Based Community Recovery Post-Natural Disaster: Black Summer Bushfires
Authors: Porter Joanne E. , Soldatenko Daria , Simic Megan , Miller Elizabeth M. , Hualda Luis Antonio T. 
Published: January 2025

Abstract

Objective
Natural disasters can cause widespread death and extensive physical devastation, but also harmfully impact individual and community health following a disaster event. Nature-based recovery approach can positively influence the mental health of people and community’s post-natural disasters. In response to the Australian bushfire season of 2019-2020, Zoos Victoria, in partnership with the Arthur Rylah Institute, worked with local communities in East Gippsland to support people’s recovery through experiencing, supporting, and witnessing nature’s recovery.

Methods
This mixed-method study explored how nature improved the recovery of remote and rural communities affected by the Black Summer bushfires in East Gippsland. The research studied the individuals’ feelings about being involved in nature-based community events and their lived experiences. Data were collected from June to September 2023 through a nature-based community recovery project survey and community interviews.

Results
The findings demonstrated that engagement with natural environments promotes positive psychological, mental, and general well-being of people from bushfire-affected communities. Positive feedback from participants indicated the success of the Nature-Based Community Recovery Project in East Gippsland after the Black Summer bushfire.

Conclusions
This research provides insights for future recovery projects and ensures that sustainable nature-based recovery solutions for bushfire-impacted communities can be established.
Estimating high-resolution profiles of wind speeds from a global reanalysis dataset using TabNet
Authors: Baki Harish , Basu Sukanta 
Published: January 2025

Abstract
The growing demand for global wind power production, driven by the critical need for sustainable energy sources, requires reliable estimation of wind speed vertical profiles for accurate wind power prediction and comprehensive wind turbine performance assessment. Traditional methods relying on empirical equations or similarity theory face challenges due to their restricted applicability beyond the surface layer. Although recent studies have utilized various machine learning techniques to vertically extrapolate wind speeds, they often focus on single levels and lack a holistic approach to predicting entire wind profiles. As an alternative, this study introduces a proof-of-concept methodology utilizing TabNet, an attention-based sequential deep learning model, to estimate wind speed vertical profiles from coarse-resolution meteorological features extracted from a reanalysis dataset. To ensure that the methodology is applicable across diverse datasets, Chebyshev polynomial approximation is employed to model the wind profiles. Trained on the meteorological features as inputs and the Chebyshev coefficients as targets, the TabNet more-or-less accurately predicts unseen wind profiles for different wind conditions, such as high shear, low shear/well-mixed, low-level jet, and high wind. Additionally, this methodology quantifies the correlation of wind profiles with prevailing atmospheric conditions through a systematic feature importance assessment.
Assessing the Post-Lisbon European Union’s System of Delegated Powers at Fifteen
Authors: Hofmann Herwig C.H. , Coman-Kund Florin , Xhaferri Zamira 
Published: January 2025

AbstractThe aim of this article and the ensuing Special Issue is to assess, après fifteen years, the effects on the EU legal and political system of the overhaul of executive delegated powers inaugurated by the Lisbon Treaty. It identifies core parameters – i.e. (institutional) balance of powers, (democratic) legitimacy, control and accountability, effectiveness of EU policy implementation – considered by the contributions to this Special Issue to map and examine, both constitutionally and normatively, the EU system of delegated powers in law and practice. It also puts forward seven overarching reflections revealing some of the core issues and challenges posed by the current stage of development of the post-Lisbon EU system of delegated powers.
Long-term stable timing fluctuation correction for a picosecond laser with attosecond-level accuracy
Authors: Li Hongyang , Liu Keyang , Tian Ye , Song Liwei 
Published: January 2025

Abstract
Rapid advancements in high-energy ultrafast lasers and free electron lasers have made it possible to obtain extreme physical conditions in the laboratory, which lays the foundation for investigating the interaction between light and matter and probing ultrafast dynamic processes. High temporal resolution is a prerequisite for realizing the value of these large-scale facilities. Here, we propose a new method that has the potential to enable the various subsystems of large scientific facilities to work together well, and the measurement accuracy and synchronization precision of timing jitter are greatly improved by combining a balanced optical cross-correlator (BOC) with near-field interferometry technology. Initially, we compressed a 0.8 ps laser pulse to 95 fs, which not only improved the measurement accuracy by 3.6 times but also increased the BOC synchronization precision from 8.3 fs root-mean-square (RMS) to 1.12 fs RMS. Subsequently, we successfully compensated the phase drift between the laser pulses to 189 as RMS by using the BOC for pre-correction and near-field interferometry technology for fine compensation. This method realizes the measurement and correction of the timing jitter of ps-level lasers with as-level accuracy, and has the potential to promote ultrafast dynamics detection and pump–probe experiments.
Multi-stage harmonic cascade at seeded free-electron lasers
Authors: Zeng Li , Yu Yong , Wang Xiaofan , Li Qinming , Sun Jitao , Li Xinmeng , He Zhigang , Yang Jiayue , Wu Guorong , Zhang Weiqing , Yang Xueming 
Published: January 2025

Abstract
External seeded free-electron lasers (FELs) have exhibited substantial progress in diverse applications over the last decade. However, the frequency up-conversion efficiency in single-stage seeded FELs, particularly in high-gain harmonic generation (HGHG), remains constrained to a modest level. This limitation restricts its capability to conduct experiments within the ‘water window’. This paper presents a novel method for generating coherent X-ray FEL pulses in the water window region based on the HGHG scheme with multi-stage harmonic cascade. Without any additional modifications to the HGHG configuration, simulation results demonstrate the generation of intense 3 nm coherent FEL radiation using an external ultraviolet seed laser. This indicates an increase of the harmonic conversion number to approximately 90. A preliminary experiment is performed to evaluate the feasibility of this method. The proposed approach could potentially serve as an efficient method to broaden the wavelength coverage accessible to both existing and planned seeded X-ray FEL facilities.
Multi-Group Regularized Gaussian Variational Estimation: Fast Detection of DIF
Authors: Lyu Weicong , Wang Chun , Xu Gongjun 
Published: January 2025

Abstract
Data harmonization is an emerging approach to strategically combining data from multiple independent studies, enabling addressing new research questions that are not answerable by a single contributing study. A fundamental psychometric challenge for data harmonization is to create commensurate measures for the constructs of interest across studies. In this study, we focus on a regularized explanatory multidimensional item response theory model (re-MIRT) for establishing measurement equivalence across instruments and studies, where regularization enables the detection of items that violate measurement invariance, also known as differential item functioning (DIF). Because the MIRT model is computationally demanding, we leverage the recently developed Gaussian Variational Expectation–Maximization (GVEM) algorithm to speed up the computation. In particular, the GVEM algorithm is extended to a more complicated and improved multi-group version with categorical covariates and Lasso penalty for re-MIRT, namely, the importance weighted GVEM with one additional maximization step (IW-GVEMM). This study aims to provide empirical evidence to support feasible uses of IW-GVEMM for re-MIRT DIF detection, providing a useful tool for integrative data analysis. Our results show that IW-GVEMM accurately estimates the model, detects DIF items, and finds a more reasonable number of DIF items in a real world dataset. The proposed method has been integrated into R package VEMIRT (https://map-lab-uw.github.io/VEMIRT).
Bayesian Analysis of the Ordinal Markov Random Field
Authors: Marsman Maarten , van den Bergh Don , Haslbeck Jonas M. B. 
Published: January 2025

Abstract
Multivariate analysis using graphical models is rapidly gaining ground in psychology. In particular, Markov random field (MRF) graphical models have become popular because their graph structure reflects the conditional associations between psychological variables. Despite the fact that most psychological variables are assessed on an ordinal scale, the analysis of MRFs for ordinal variables has received little attention in the psychometric literature. To fill this gap, we present an MRF for ordinal data that so far has not been considered in network psychometrics. We present statistical methodology to test the structure of the proposed MRF, which requires us to determine the plausibility of the opposing hypotheses of conditional dependence and independence. To this end, we develop a Bayesian approach using the inclusion Bayes factor to quantify the (lack of) evidence for a given edge. We use a Bayesian variable selection approach to model the inclusion and exclusion of edges in the network, and Bayesian model averaging to compare network structures with and without the given edge. We provide an implementation in the new R package bgms, evaluate its performance in simulations, and illustrate it with empirical data.
A high-resolution record of Late Holocene drought in the eastern Sierra Nevada (California, USA) from June Lake carbonate geochemistry
Authors: Lyon Eva C. , Erhardt Andrea M. , Streib Laura C. , Zimmerman Susan R.H. , McGlue Michael M. 
Published: January 2025

AbstractAs historic drought conditions become more common in western North America, Late Quaternary hydroclimate records become vital for putting present anthropogenic conditions into a longer-term context. Here, we establish a high-resolution record of drought for the eastern Sierra Nevada (California) using lacustrine carbonates from well-dated sediment cores. We used oxygen and carbon stable-isotope ratios, combined with high-resolution scanning X-ray fluorescence counts of calcium (Ca) and titanium (Ti), to reconstruct the drought record over the last 4600 years in June Lake. We found elevated δ18O and δ13C carbonate isotope values coinciding with peaks in both total inorganic carbon and Ca/Ti, suggesting enhanced carbonate precipitation in response to evaporative concentration of lake water. At least six intervals of prolonged (centennial-scale) carbonate deposition were identified, including three pulses during the Late Holocene Dry Period (LHDP; ~3500–2000 cal yr BP), the Medieval Climate Anomaly (~1200–800 cal yr BP), and the Current Warm Period, which began around 100 cal yr BP. This record highlights the complexities of the LHDP, an interval that was more variable at June Lake than has been previously described in regional records.
Sensorineural hearing loss in stroke: an age-matched retrospective study
Authors: Neilson Sam J , Sooby Paul , Huang Xuya , Kontorinis Georgios 
Published: January 2025

Abstract

Objective
To compare characteristics between stroke populations with and without sensorineural hearing loss (SNHL) and assess the impact of SNHL on stroke outcome.

Methods
A retrospective study of patients admitted with stroke was carried out. Patients were divided into two groups, where group A were diagnosed with SNHL and group B were without SNHL. Baseline age, gender, vascular risk factors and disability were compared. Logistic regression analyses were performed with three-month mortality and SNHL as dependent variables.

Results
A total of 631 admissions were reviewed, with mean age 79.2 years, including 305 patients with SNHL and 326 without. More severe disability was more prevalent in patients with SNHL. Sensorineural hearing loss was not associated with increased mortality (odds ratio = 1.1, 95 per cent confidence interval = 0.7–2.0, p = 0.668). Hypertension was present in 210 (68.9 per cent) with SNHL versus 189 (58 per cent) without SNHL (p = 0.005). Small-vessel disease aetiology was more prevalent in SNHL 51 (16.7 per cent) versus 30 (9.2 per cent) without SNHL (p = 0.005).

Conclusion
Sensorineural hearing loss appears to have an association with stroke of small-vessel disease aetiology and hypertension. Sensorineural hearing loss does not affect three-month mortality but is associated with increased disability.
Navigation of biped wall-climbing robots using BIM and ArUco markers
Authors: Gu Shichao , Fu Ziyang , Chen Weinan , Guan Yisheng , Wu Hongmin , Zhou Xuefeng , Zhu Haifei 
Published: January 2025

Abstract
Biped wall-climbing robots (BWCRs) serve as viable alternatives to human workers for inspection and maintenance tasks within three-dimensional (3D) curtain wall environments. However, autonomous climbing in such environments presents significant challenges, particularly related to localization and navigation. This paper presents a pioneering navigation framework tailored for BWCRs to navigate through 3D curtain wall environments. The framework comprises three essential stages: Building Information Model (BIM)-based map extraction, 3D climbing path planning (based on our previous work), and path tracking. An algorithm is developed to extract a detailed 3D map from the BIM, including structural elements such as walls, frames, and ArUco markers. This generated map is input into a proposed path planner to compute a viable climbing motion. For path tracking during actual climbing, an ArUco marker-based global localization method is introduced to estimate the pose of the robot, enabling adjustments to the target foothold by comparing desired and actual poses. The conducted experiments validate the feasibility and efficacy of the proposed navigation framework and associated algorithms, aiming to enhance the autonomous climbing capability of BWCRs.
Analysing breast dose in female mediastinal lymphoma patients who received radiotherapy: a retrospective audit
Authors: Massey Andrew , Turtle Louise , Wilson Nathan , Stewart-Thomson Bethan , Robson Peter 
Published: January 2025

Abstract

Introduction:
Second primary breast cancers are among the most common risks to female patients who have received radiotherapy for mediastinal lymphoma.
This study aims to audit breast dose in women who received mediastinal radiotherapy for lymphoma and compare the combined dose parameter values measured to those in the literature.

Methods:
Twenty-three patient datasets from 2017 to 2021 were obtained. Inclusion criteria, such as female gender and 30Gy prescription dose, were applied. Target volumes were delineated using involved site radiotherapy and planned on Eclipse (Varian, Palo Alto, CA) using either fixed field or VMAT. Breast contours were retrospectively outlined according to RTOG/EORTC guidance and descriptive statistics were used to compare findings to those from the literature.

Results:
Differences were found in V4gy, V5Gy and mean dose compared to the literature with mean dose being 2Gy in the literature and 4Gy in this audit.

Conclusions:
Breast dose parameter values between patients in this study vary due to multiple factors. These include the treatment delivery method used and the position of the treatment field in relation to the location of breast tissue. Mean dose and V4% and V5% to breast tissue found in this study differ from that found in the literature. This study highlights the importance of accurate contouring and optimising breast tissue when possible.
The Potential Benefits of Assimilating Future CubeSat‐Constellation Microwave Radiances on Regional NWP for Typhoon and Heavy Rainfall With a Rapid‐Update Convection‐Permitting 4DEnVar
Authors: Wang Yuanbing , Chen Haoyu , He Jieying , Chen Yaodeng , Min Jinzhong 
Published: January 2025

AbstractThe microwave sounding instruments have been providing humidity and temperature profiles critical for improving numerical weather prediction (NWP). In recent years, advanced microwave sounders have been proposed to be onboard future CubeSats that are less expensive than traditional satellites, providing unprecedented rapid‐update and low‐earth‐orbit microwave observations that can follow the evolution of the typhoon and convective weather systems. In this study, the potential values of assimilating future CubeSat constellation microwave radiances in clear‐sky condition for regional NWP are preliminarily assessed with observing system simulation experiments using the convection‐permitting 4DEnVar for the prediction of typhoon “Infa” and its associated “7.20” heavy rainfall event that occurred in China in July 2021. This constellation is assumed to include 12 CubeSats equipped with microwave sounders obtaining radiances sensitive to water vapor and temperature. The results show the CubeSat constellation radiances demonstrate positive impacts on the analyses and forecasts of typhoon's track, intensity, precipitation, and dynamical conditions. The forecast errors of typhoon's maximum wind speed, minimum sea level pressure, and track are reduced by 17.9%, 14.3%, and 27.9%, respectively. The wind, temperature, and humidity of 6‐hr forecasts are improved by 4.95%, 7.89%, and 5.17%, respectively. The rainfall forecast scores in terms of fraction skill score and equitable threat score are also improved by 7% and 5.9% with the ameliorative prediction of magnitude and pattern of rainfall maximum centers for both the landfall typhoon and “7.20” heavy rainfall event. This study indicates the potential benefits of microwave radiances from a low‐earth‐orbit CubeSat constellation with rapid revisits using advanced data assimilation on the regional NWP in the future.
One‐Fit‐All Transformer for Multimodal Geophysical Inversion: Method and Application
Authors: Jiang Yiran , Ma Jianwei , Ning Jieyuan , Li Jiaqi , Wu Han , Bao Tiezhao 
Published: January 2025

AbstractThe increasing variety of geophysical data sets enhances inversion constraints but also poses significant challenges for conventional methods in terms of precision and efficiency due to factors like non‐linearity and limited observation coverage. While deep learning has the potential to address these challenges, issues such as data representation and domain transformation limit the development of universally applicable deep learning‐based inversion methods across various geophysical scenarios. To address these issues, we propose a novel Transformer‐based inversion framework named G(eophysics)‐Query for multimodal geophysical data by expanding the vector representation concept and incorporating query adjusting in the attention mechanism. It can adapt to diverse inversion settings—across different observation systems, targets, and prior information—within a single network, and thus eliminates the need for specific design adjustments and repeated training. Additionally, the framework incorporates a novel semi‐supervised training strategy to explore empirical relationships for prediction uncertainty estimation, ultimately providing more comprehensive inversion results. The framework is applied in the joint inversion of surface waves and receiver functions and successfully obtains the lithospheric structure of the conterminous U.S., demonstrating high precision, efficiency, and universal capability.
Discovery of novel dual-target inhibitors of LSD1/EGFR for non-small cell lung cancer therapy
Authors: Wei Yu , Sun Ming-ming , Zhang Rui-li , Wang Lin , Yang Li-hong , Shan Chang-liang , Lin Jian-ping 
Published: January 2025

AbstractHistone lysine-specific demethylase 1 (LSD1) is overexpressed in various solid and hematological tumors, suggesting its potential as a therapeutic target, but there are currently no LSD1 inhibitors available on the market. In this study we employed a computer-guided approach to identify novel LSD1/EGFR dual inhibitors as a potential therapeutic agent for non-small cell lung cancer. Through a multi-stage virtual screening approach, we found L-1 and L-6, two compounds with unique scaffolds that effectively inhibit LSD1 with IC50 values of 6.24 and 9.26 μM, respectively. Using molecular similarity-based screening, 48 analogs of L-1 and L-6 were retrieved from ChemDiv library, 18 analogs were selected for biological activity analysis. Eight compounds showed weaker inhibitory activity against LSD1, with IC50 values of 19.79 – 35.70 μM. Moreover, L-1, L-6, and two analogs of L-6 (D-14 and D-16) were found to inhibit triple-mutant EGFR (L858R/T790M/C797S) with potencies ranging from 5.01 to 86.70 μM, and to inhibit double-mutant EGFR (T790M/L858R) with potencies ranging from 2.06 to 64.36 μM. In BaF3 cells that stably express EGFR (L858R/T790M/C797S), the inhibitory activity of L-1, L-6, D-14 and D-16 ranged from 2.72 to 8.99 μM. L-1 that shows the highest biological activity across BaF3 cell, mutant EGFR kinase and LSD1 assays due to its dual targeting of LSD1/EGFR, emerges as a promising lead compound for non-small cell lung cancer treatment. This study demonstrates that L-1 efficiently inhibits lung cancer growth in vitro and in vivo, suggesting it as a potential lead for non-small cell lung cancer treatment, highlighting the utility of virtual screening methods in discovering multi-target inhibitors and strategies for other diseases.
Nucleosome wrapping states encode principles of 3D genome organization
Authors: Wen Zengqi , Fang Ruixin , Zhang Ruxin , Yu Xinqian , Zhou Fanli , Long Haizhen 
Published: January 2025

AbstractNucleosome is the basic structural unit of the genome. During processes like DNA replication and gene transcription, the conformation of nucleosomes undergoes dynamic changes, including DNA unwrapping and rewrapping, as well as histone disassembly and assembly. However, the wrapping characteristics of nucleosomes across the entire genome, including region-specificity and their correlation with higher-order chromatin organization, remains to be studied. In this study, we investigate the wrapping length of DNA on nucleosomes across the whole genome using wrapping-seq. We discover that the chromatin of mouse ES cells forms Nucleosome Wrapping Domains (NRDs), which can also be observed in yeast and fly genomes. We find that the degree of nucleosome wrapping decreases after DNA replication and is promoted by transcription. Furthermore, we observe that nucleosome wrapping domains delineate Hi-C compartments and replication timing domains. In conclusion, we have unveiled a previously unrecognized domainization principle of the chromatin, encoded by nucleosome wrapping states.