bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resilience and spiritual well-being as resources for coping with radiotherapy and surviving in patients with glioblastoma
Authors: Dinapoli Loredana , Caliandro Morena , Chiesa Silvia , Marconi Elisa , Capocchiano Nikola Dino , Mazzarella Ciro , Bartoli Francesco Beghella , Bracci Serena , Balducci Mario , Chieffo Daniela Pia Rosaria , Fiorentino Alba , Valentini Vincenzo , Tagliaferri Luca , Gambacorta Maria Antonietta , Dinapoli Nicola 
Published: November 2024

Abstract

Objectives
The primary aims of this multicenter, prospective observational study were to investigate spiritual well-being, resilience, and psychosocial distress in an Italian sample of glioblastoma patients undergoing radiochemotherapy. The secondary aim was to explore the influence of demographic, clinical, and psychological characteristics on survival.

Methods
The assessment was conducted only once, within the first week of radiochemotherapy treatment. Spiritual well-being was evaluated by the Functional Assessment of Chronic Illness Therapy-Spiritual Well-being (FACIT-Sp-12), and religious/spiritual beliefs and practices were evaluated by the System of Belief Inventory. Resilience was evaluated by the Connor−Davidson Resilience Scale (CD-RISC). Psychosocial distress was evaluated the by Distress Thermometer and Hospital Anxiety Depression Scale. We conducted an univariable analysis of overall survival (OS) using data from the most recent follow-up available, considering demographic and clinical variables that could influence survival. Follow-up was defined as either the time of death or the latest follow-up visit recorded.

Results
We recruited 104 patients, and the median follow-up time was 18.3 months. “Distressed” patients had lower scores than “not distressed” patients on the FACIT-Sp-12 and CD-RISC. While OS was not significant according to the FACIT-Sp-12 threshold, the Kaplan−Meier log-rank test was 0.05 according to the CD-RISC threshold. Among demographic variables, age showed significant associations with OS (p = 0.011). Resilience showed significant associations with OS (p = 0.025).

Significance of results
Data showed that high spiritual well-being was associated with high resilience and an absence of psychosocial distress in our sample of glioblastoma patients undergoing radiochemotherapy. Patients with greater resilience survived longer than those with lesser resilience. Profiling spiritual well-being and resilience in glioblastoma patients undergoing radiochemotherapy can be seen as a resource to identify novel characteristics to improve clinical take-in-charge of glioblastoma patients.
Longitudinal Fluvial Dispersion of Coarse Particles: Insights From Field Observations and Model Simulations
Authors: Yadav Anshul , Hassan Marwan A. , McDowell Conor , Bradley D. Nathan , Sen Sumit 
Published: November 2024

AbstractIn this study, we use field observations augmented with model simulations to examine gravel dispersion over nine years (2007–2015) in Halfmoon Creek. The observations of flow, entrainment, and dispersion were used to develop a forward model utilizing the Einstein‐Hubbell‐Sayre (EHS) compound Poisson process. The observed mean virtual velocity of the tracer population slows down with cumulative excess energy after the 2010 large event. The forward model deviates from the observations in representation of tails, overpredicts mean displacements, and shows a narrower spatial distribution. The heavy‐tailed resting times indicate prolonged immobilization of some grains, suggesting the preferential movement of other most mobile grains. As such, 34% of most mobile grains constitute 50% of the total entrainments. The consideration of preferential movement explains the longitudinal spread but still overpredicts the displacement after the 2010 event. The model was then explored to consider additional transport‐related mechanisms causing deviations, such as reduction in virtual velocity, entrainment probability, and morphological trapping of meander bends, which helps to adequately recreate the observed dispersive behavior. The available historical flow records used for simulating dispersive behavior over multiple decades reveal an abrupt increase in displacements for exceptionally large events, suggesting the exhumation of deeply buried grains back in transport. The simulation results highlight the need for tracer studies with large sample sizes and improved recovery rates for longer time frames experiencing floods of widely varying magnitudes. Such models, inspired by Einstein's stochastic theory can be valuable for various river research applications.
Enhanced Satellite Monitoring of Dryland Vegetation Water Potential Through Multi‐Source Sensor Fusion
Authors: Du J. , Kimball J. S. , Guo J. S. , Kannenberg S. A. , Smith W. K. , Feldman A. , Endsley A. 
Published: November 2024

AbstractDrylands are critical in regulating global carbon sequestration, but the resiliency of these semi‐arid shrub, grassland and forest systems is under threat from global warming and intensifying water stress. We used synergistic satellite optical‐Infrared (IR) and microwave remote sensing observations to quantify plant‐to‐stand level vegetation water potentials and seasonal changes in dryland water stress in the southwestern U.S. Machine‐learning was employed to re‐construct global satellite microwave vegetation optical depth (VOD) retrievals to 500‐m resolution. The re‐constructed results were able to delineate diverse vegetation conditions undetectable from the original 25‐km VOD record, and showed overall favorable correspondence with in situ plant water potential measurements (R from 0.60 to 0.78). The VOD water potential estimates effectively tracked plant water storage changes from hydro‐climate variability over diverse sub‐regions. The re‐constructed VOD record improves satellite capabilities for monitoring the storage and movement of water across the soil‐vegetation‐atmosphere continuum in heterogeneous drylands.
Long‐Term Temperature Impacts of the Hunga Volcanic Eruption in the Stratosphere and Above
Authors: Randel William J. , Wang Xinyue , Starr Jon , Garcia Rolando R. , Kinnison Douglas 
Published: November 2024

AbstractGlobal average upper atmosphere temperature changes linked with the Hunga volcanic eruption (January 2022) are analyzed based on satellite measurements and compared with chemistry‐climate model simulations. Results show stratospheric cooling of −0.5 to −1.0 K in the middle and upper stratosphere during 2022 through middle 2023, followed by stronger cooling (−1.0 to −2.0 K) in the mesosphere after middle 2023. The cooling patterns follow the upward propagating water vapor (H2O) anomalies from Hunga, and similar behavior is found between observations and model simulations. While the stratospheric cooling is mainly due to radiative cooling from enhanced H2O, the mesospheric temperature changes result from ozone losses in the mesosphere, which are in‐turn driven by HOx radicals from Hunga H2O. Comparisons with the multi‐decade climate record show that Hunga impacts on stratospheric temperatures have similar magnitude, but opposite sign, to temperature effects from the large El Chichón (1982) and Pinatubo (1991) volcanic eruptions.
Bottom Stress and Drag on a Shallow Coral Reef
Authors: Boles Elisabeth , Khrizman Alexandra , Hamilton Jenny , Mucciarone David , Dunbar Robert , Koseff Jeffrey , Monismith Stephen 
Published: November 2024

AbstractCoral reef roughness produces turbulent boundary layers and bottom stresses that are important for reef metabolism monitoring and reef circulation modeling. However, there is some uncertainty as to whether field methods for estimating bottom stress are applicable in shallow canopy environments as found on coral reefs. Friction velocities () and drag coefficients () were estimated using five independent methods and compared across 14 sites on a shallow forereef (2–9 m deep) in Palau with large and spatially variable coral roughness elements (0.4–1 m tall). The methods included the following: (a) momentum balance closure, (b) log‐fitting to velocity profiles, (c) Reynolds stresses, (d) turbulence dissipation, and (e) roughness characterization from digital elevation models (DEMs). Both velocity profiles and point turbulence measurements indicated good agreement with log‐layer scaling, suggesting that measurements were taken within a well‐developed turbulent boundary layer and that canopy effects were minimal. However, estimated from the DEMs, momentum budget and log‐profile fitting were consistently larger than those estimated from direct turbulence measurements. Near‐bed Reynolds stresses only contributed about 1/3 of the total bottom stress and drag produced by the reef. Thus, effects of topographical heterogeneity that induce mean velocity fluxes, dispersive stresses, and form drag are expected to be important. This decoupling of total drag and local turbulence implies that both rates of mass transfer as well as values of fluxes inferred from concentration measurements may be proportional to smaller, turbulence‐derived values of rather than to those based on larger‐scale flow structure.
Stratospheric Transit Time Distributions Derived From Satellite Water Vapor Measurements
Authors: Randel William J. , Podglajen Aurelien , Wu Fei 
Published: November 2024

AbstractStratospheric transit time distributions (age‐of‐air spectra) are estimated using time series of satellite water vapor (H2O) measurements from the Microwave Limb Sounder over 2004 to 2021 assuming stationary transport. Latitude‐altitude dependent spectra are derived from correlations of interannual H2O anomalies with respect to the tropical tropopause source region, fitted with an inverse Gaussian distribution function. The reconstructions accurately capture interannual H2O variability in the “tropical pipe” and near‐global lower stratosphere, regions of relatively fast transport (∼1–2 years) in the Brewer‐Dobson circulation. The calculations provide novel observational estimates of the corresponding “short transit‐time” part of the age spectrum in these regions, including the mode. However, the H2O results do not constrain the longer transit‐time “tail” of the age spectra, and the mean age of air and spectral widths are systematically underestimated compared to other data. We compare observational results with parallel calculations applied to the WACCM chemistry‐climate model and the CLaMS chemistry‐transport model, and additionally evaluate the method in CLaMS by comparing with spectra from idealized pulse tracers. Because the age spectra accurately capture H2O interannual variations originating from the tropical tropopause, they can be used to identify “other” sources of variability in the lower stratosphere, and we use these calculations to quantify H2O anomalies in the Southern Hemisphere linked to the Australian New Years fires in early 2020 and the Hunga volcanic eruption in 2022.
Intensified Western Pacific Convection Increases the Probability of Hot Extremes in the Middle East During the Boreal Spring
Authors: Xia Ming , Yang Song , Wei Wei , Fan Hanjie , Lin Shuheng , Deng Kaiqiang 
Published: November 2024

AbstractUnder global warming, the convective heating over the western Pacific (WP) has exhibited a significantly intensifying trend during the boreal spring, while the surface air temperatures in the Middle East (ME) have increased more rapidly than those in other tropical regions. Are these climate phenomena of the two regions physically connected? If yes, what are the responsible dynamical mechanisms involved? Utilizing the ERA5 reanalysis data and model simulations, this study reveals a significant seesaw variation in the convection and temperature trends between WP and ME. When convective heating intensifies over the WP, the ME tends to be drier and hotter during the spring, and vice versa. A further investigation indicates that the enhanced WP convective heating can induce anticyclonic circulation anomalies in the upper and middle troposphere over the Iranian and Tibetan plateaus. These anomalous high pressures extend westward, exhibiting a barotropic structure, which leads to stronger sinking motions, reduced cloud cover, and increased surface solar radiation over the ME. Consequently, these conditions result in drier and hotter soils and an increase in heatwave days in the ME. This study provides useful information for enhancing our understanding of the role of tropical WP climate change in influencing the upstream climate conditions with a focus on the ME.
Estimating Primary Magmas From Mars With PRIMARSMELT: Implications for the Petrogenesis of Some Martian Rocks and the Thermal Evolution of Mars
Authors: Hernández‐Montenegro Juan David , Asimow Paul D. , Herzberg Claude T. 
Published: November 2024

AbstractPrimary magmas form by partial melting in the mantle of a terrestrial planet and represent the starting material for building its crust. The compositions of primary magmas are critical for understanding the thermal history of planetary interiors, as they can be used to estimate mantle potential temperatures (TP) and track changes in the conditions of mantle partial melting over time. Here, we introduce PRIMARSMELT, a new member of the PRIMELT software family, calibrated to estimate the composition of Martian primary magmas and their formation conditions. We applied PRIMARSMELT to a comprehensive database of basaltic compositions from Mars. Our results are consistent with their petrology, requiring olivine addition to restore fractionated compositions to their primary parents and olivine subtraction from cumulate rocks. Individual primary magma solutions provide insights into the petrogenesis of specific Martian meteorites, with implications for the near‐primary nature of some primitive meteorites and the relationship between lithologies A and B in meteorite EETA 79001. Taken together, our results suggest nearly constant or potentially increasing mantle potential temperatures throughout the geological history of Mars. The average TP for young shergottite meteorites is ∼1,442 ± 40°C, similar to ambient mantle temperatures inferred from geophysical models. In contrast, older basaltic rocks record potential temperatures as low as ∼1,320 ± 48°C for igneous clasts in meteorites NWA 7034/7533. We suggest that, rather than plume‐related magmatism, shergottite meteorites record ambient mantle temperatures, with the thermal evolution trend possibly resulting from inefficient heat loss, as expected for a planet in stagnant‐lid mode.
Single Station Seismic Event Location With a Neural‐Guided Mixture Model: Model‐Based Weighting for Improved Accuracy
Authors: Castro Jorge D. , Meneses‐Ponce Cecilia , Ortega Roberto , Beltran‐Gracia Joel , Gonzalez‐Huizar Hector 
Published: November 2024

AbstractIn many regions of the world with complex seismic activity, the availability of seismic stations is limited. This motivated us to develop a probabilistic method for single‐station earthquake location. Single station location methods may provide an efficient and cost‐effective way to monitor small‐magnitude seismic events over large areas of the world. This method relies on the outputs of two neural networks, which predict the initial spatial location of specific areas (convolutional) used in the prior probability and seismic phase recognition (combination of convolutional and Long Short Term Memory) used in the likelihood function. These estimates and a 3D travel time likelihood function are used in a Bayesian framework. In this model, the initial spatial location is expressed as a Multivariate Gaussian Mixture Model, and the likelihood function refines the localization using the arrival time difference between S and P waves in a 3D space. The likelihood function uses a Fast Marching Eikonal method with a 3D velocity structure. We tested this method on the Ridgecrest 2019 seismic sequence (Mw = 7.1) and on West Texas and found promising results for locating with a single station. Our approach demonstrates that using a Bayesian model with strong priors obtained through deep learning algorithms is effective. Our model can predict epicenter and depth with mean errors of 7.55 km in longitude, 13.54 km in latitude and 0.630 km in depth at the two different locations studied. This method demonstrates the effectiveness of combining deep learning for initial estimations with probabilistic 3D location refinement.
Association of furosemide versus chlorothiazide exposures with serum sodium, potassium, and chloride among infants with bronchopulmonary dysplasia
Authors: Nelin Timothy D. , Huber Matthew , Jensen Erik A. , DeMauro Sara B. , Morris Heidi , Lorch Scott A. , Gibbs Kathleen , Alexiou Stamatia , Napolitano Natalie , Bustin Anna , Bamat Nicolas A. 
Published: November 2024

Abstract
Objectives
To examine the association of novel furosemide versus thiazide diuretic exposure with changes in serum sodium, potassium, and chloride levels among infants with grade 2/3 bronchopulmonary dysplasia (BPD).

Study Design
Retrospective cohort study of infants admitted to a level IV neonatal intensive care unit (NICU) with grade 2/3 BPD. We measured within-subject change in serum sodium, potassium, and chloride before and after diuretic initiation using multivariable regression to adjust for differences in dosing and clinical covariates.

Results
We identified 94 infants contributing 137 novel diuretic exposures. No significant difference was noted in the association between chlorothiazide versus furosemide and serum sodium, potassium, or chloride change in multivariable modeling.

Conclusions
Changes in serum electrolytes were similar for chlorothiazide and furosemide, questioning the perception that chlorothiazide leads to less electrolyte derangement among preterm infants with grade 2/3 BPD.
Real-time correction of gain nonlinearity in electrostatic actuation for whole-angle micro-shell resonator gyroscope
Authors: Yu Sheng , Sun Jiangkun , Zhang Yongmeng , Xi Xiang , Lu Kun , Shi Yan , Xiao Dingbang , Wu Xuezhong 
Published: November 2024

AbstractMEMS gyroscopes are well known for their outstanding advantages in Cost Size Weight and Power (CSWaP), which have inspired great research attention in recent years. A higher signal-to-noise ratio (SNR) for MEMS gyroscopes operating at larger vibrating amplitudes provides improved measuring resolution and ARW performance. However, the increment of amplitude causes strong nonlinear effects of MEMS gyroscopes due to their micron size, which has negative influences on the performance. This paper carries out detailed research on a general nonlinear mechanism on the sensors using parallel-plate capacitive transducers, which is called the gain nonlinearity in electrostatic actuation. The theoretical model established in this paper demonstrates the actuation gain nonlinearity causes the control-force coupling and brings extra angle-dependent bias with the 4th component for the whole-angle gyroscopes, which are verified by the experiments carried out on a micro-shell resonator gyroscope (MSRG). Furthermore, a real-time correction method is proposed to restore a linear response of the electrostatic actuation, which is realized by the gain modification with an online parameter estimation based on the harmonic-component relationship of capacitive detection. This real-time correction method could reduce the 4th component of the angle-dependent bias by over 95% from 0.003°/s to less than 0.0001°/s even under different temperatures. After the correction of actuation gain nonlinearity, the bias instability (BI) of whole-angle MSRG is improved by about 3.5 times from 0.101°/h to 0.029°/h and the scale factor nonlinearity (SFN) is reduced by almost one order of magnitude from 2.02 ppm to 0.21 ppm.
Hypermethylation of CDKN2A CpG island drives resistance to PRC2 inhibitors in SWI/SNF loss-of-function tumors
Authors: Wang Xinghao , Wang Yajun , Xie Min , Ma Shichao , Zhang Yilin , Wang Lele , Ge Yangfeng , Li Guobin , Zhao Mengxi , Chen Sheng , Yan Chenxi , Zhang Hailong , Sun Wei 
Published: November 2024

AbstractPolycomb repressive complex 2 (PRC2) catalyzes the writing of the tri-methylated histone H3 at Lys27 (H3K27me3) epigenetic marker and suppresses the expression of genes, including tumor suppressors. The function of the complex can be partially antagonized by the SWI/SNF chromatin-remodeling complex. Previous studies have suggested that PRC2 is important for the proliferation of tumors with SWI/SNF loss-of-function mutations. In the present study, we have developed an EED-directed allosteric inhibitor of PRC2 termed BR0063, which exhibits anti-proliferative properties in a subset of solid tumor cell lines harboring mutations of the SWI/SNF subunits, SMARCA4 or ARID1A. Tumor cells sensitive to BR0063 exhibited several distinct phenotypes, including cell senescence, which was mediated by the up-regulation of CDKN2A/p16. Further experiments revealed that the expression of p16 was suppressed in the BR0063-resistant cells via DNA hypermethylation in the CpG island (CGI) promoter region, rather than via PRC2 occupancy. The expression of TET1, which is required for DNA demethylation, was found to be inversely correlated with p16 CGI methylation, and this may serve as a biomarker for the prediction of resistance to PRC2 inhibitors in SWI/SNF LOF tumors.
ZNF652 exerts a tumor suppressor role in lung cancer by transcriptionally downregulating cyclin D3
Authors: Xie Chunfeng , Zhou Xu , Wu Jinyi , Chen Weiyi , Ren Dongxue , Zhong Caiyun , Meng Zili , Shi Ye , Zhu Jianyun 
Published: November 2024

AbstractDysfunction of zinc finger protein 652 (ZNF652) is associated with various malignant tumors. However, the role of ZNF652 in lung cancer (LC) is poorly understood. Here, we identified that ZNF652 was downregulated in human LC tissues and cell lines. Low ZNF652 expression was associated with poor survival in LC patients. Overexpression of ZNF652 inhibited cell viability, proliferation, migration, and invasion of LC cells, whereas ZNF652 knockdown promoted these malignant phenotypes. Using RNA-seq analysis revealed that ZNF652 overexpression resulted in obvious alterations of various biological processes, especially cell cycle and cellular senescence. Subsequently, we confirmed that ZNF652 overexpression arrested the cell cycle at the G1 phase, increased ROS-mediated DNA damage, induced LC cell senescence, and enhanced cisplatin-induced apoptosis in LC cells. Mechanistically, ZNF652 directly bound to the promoter of cyclin D3 (CCND3), inhibited its transcription, thereby arresting the cell cycle at the G1 phase. Ectopic expression of cyclin D3 rescued the decreased cell viability and cell cycle arrest induced by ZNF652. In vivo studies further showed that ZNF652 overexpression suppressed the tumorigenic potential of LC. Collectively, our findings reveal that ZNF652 exerts a tumor suppressor role in lung cancer by inducing cell cycle arrest and cellular senescence via transcriptionally downregulating cyclin D3. Thus, ZNF652 may be a prognostic predictive factor for LC patients.