bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Multidimensional Prognostic Index predicts incident delirium among hospitalized older patients with COVID-19: a multicenter prospective European study
Authors: Morganti Wanda , Custodero Carlo , Veronese Nicola , Topinkova Eva , Michalkova Helena , Polidori M. Cristina , Cruz‐Jentoft Alfonso J. , von Arnim Christine A. F. , Azzini Margherita , Gruner Heidi , Castagna Alberto , Cenderello Giovanni , Custureri Romina , Seminerio Emanuele , Zieschang Tania , Padovani Alessandro , Sanchez‐Garcia Elisabet , Pilotto Alberto ,   the MPI-COVID-19 Study Group Investigators, Barbagallo Mario , Barbagelata Marina , Dini Simone , Diesner Naima Madlen , Fernandes Marilia , Gandolfo Federica , Garaboldi Sara , Musacchio Clarissa , Pilotto Andrea , Pickert Lena , Podestà Silvia , Ruotolo Giovanni , Sciolè Katiuscia , Schlotmann Julia 
Published: June 2024

Abstract
Purpose
Incident delirium is a frequent complication among hospitalized older people with COVID-19, associated with increased length of hospital stay, higher morbidity and mortality rates. Although delirium is preventable with early detection, systematic assessment methods and predictive models are not universally defined, thus delirium is often underrated. In this study, we tested the role of the Multidimensional Prognostic Index (MPI), a prognostic tool based on Comprehensive Geriatric Assessment, to predict the risk of incident delirium.

Methods
Hospitalized older patients (≥ 65 years) with COVID-19 infection were enrolled (n = 502) from ten centers across Europe. At hospital admission, the MPI was administered to all the patients and two already validated delirium prediction models were computed (AWOL delirium risk-stratification score and Martinez model). Delirium occurrence during hospitalization was ascertained using the 4A’s Test (4AT). Accuracy of the MPI and the other delirium predictive models was assessed through logistic regression models and the area under the curve (AUC).

Results
We analyzed 293 patients without delirium at hospital admission. Of them 33 (11.3%) developed delirium during hospitalization. Higher MPI score at admission (higher multidimensional frailty) was associated with higher risk of incident delirium also adjusting for the other delirium predictive models and COVID-19 severity (OR = 12.72, 95% CI = 2.11–76.86 for MPI-2 vs MPI-1, and OR = 33.44, 95% CI = 4.55–146.61 for MPI-3 vs MPI-1). The MPI showed good accuracy in predicting incident delirium (AUC = 0.71) also superior to AWOL tool, (AUC = 0.63) and Martinez model (AUC = 0.61) (p < 0.0001 for both comparisons).

Conclusions
The MPI is a sensitive tool for early identification of older patients with incident delirium.
The effect of new atypical antipsychotic drugs on the expression of transcription factors regulating cytochrome P450 enzymes in rat liver
Authors: Danek Przemysław J. , Daniel Władysława A. 
Published: June 2024

Abstract
Background
Our recent studies showed that prolonged administration of novel atypical antipsychotics affected the expression and activity of cytochrome P450 (CYP), as demonstrated in vitro on human hepatocytes and in vivo on the rat liver. The aim of the present work was to study the effect of repeated treatment with asenapine, iloperidone, and lurasidone on the expression of transcription factors regulating CYP drug-metabolizing enzymes in rat liver.

Methods
The hepatic mRNA (qRT-PCR) and protein levels (Western blotting) of aryl hydrocarbon receptor (AhR), pregnane X receptor (PXR), constitutive androstane receptor (CAR) and peroxisome proliferator-activated receptor (PPARγ) were measured in male Wistar rats after 2 week-treatment with asenapine, iloperidone or lurasidone.

Results
The 2-week treatment with asenapine significantly diminished the AhR and PXR expression (mRNA, protein level), and CAR mRNA level in rat liver. Iloperidone lowered the AhR and CAR expression and PXR protein level. Lurasidone did not affect the expression of AhR and CAR, but increased PXR expression. The antipsychotics did not affect PPARγ.

Conclusions
Prolonged treatment with asenapine, iloperidone, or lurasidone affects the expression of transcription factors regulating the CYP drug-metabolizing enzymes. The changes in the expression of AhR, CAR, and PXR mostly correlate with alterations in the expression and activity of respective CYP enzymes found in our previous studies. Since these transcription factors are also engaged in the expression of phase II drug metabolism and drug transporters, changes in their expression may affect the metabolism of endogenous substrates and pharmacokinetics of concomitantly used drugs.
Assessing factors influencing greywater characteristics around the world: a qualitative and quantitative approach with a short-review on greywater treatment technologies
Authors: Mohan S. , Manthapuri Vineeth , Chitthaluri Santhoshi 
Published: June 2024

AbstractThe obsolete efficiencies in conventional centralized wastewater treatment systems call for implementation of source separation and treatment of wastewater. Approximately 60–75% of domestic wastewater is attributed to greywater, which could be reused to combat freshwater crisis. The present study investigates qualitative and quantitative attributes of greywater from different sources in High-Income Countries (HICs) and Low-Income Countries (LICs). The quantity of greywater generation is positively correlated with country’s per capita income, but feebly negatively correlated with temperature. Kitchen source is the highest contributor of total suspended solids (134–1300 mg/l), whereas in case of turbidity, laundry is the major contributor (39–444 NTU). Also, kitchen greywater is characterized by comparatively high biochemical oxygen demand (BOD) of 100–1850 mg/l, low pH of 5.6–8, and elevated total nitrogen (TN) of about 1.5–48 mg/l. The high pH (7.3–10) and chemical oxygen demand (COD) levels (58–2497 mg/l) in laundry greywater are due to usage of sodium hydroxide-based soaps, while usage of wash detergents containing phosphates like sodium tripolyphosphate contribute to high total phosphorus (TP) (0.062–57 mg/l). The qualitative characteristics of greywater in HICs are perceived to be superior compared to LICs. Furthermore, the most widely used physicochemical, biological, and advanced oxidation treatment technologies for greywater are outlined briefly. It can be observed that economical treatment systems like phytoremediation or biological technologies combined with sand filtration systems can be implemented to treat greywater with high organic content in LICs, whereas in HICs where greywater is generated in large quantities, electro-coagulation combined with advanced oxidation technologies can be used to treat its higher COD levels.
Graphical Abstract
Unlocking environmental solutions: a review of cyclodextrins in pollutant removal
Authors: Urooj Tuba , Mishra Monika , Pandey Shivam 
Published: June 2024

AbstractCyclodextrins are cyclic oligosaccharides characterized by a hydrophobic interior and a hydrophilic outside linked by α-1,4 glycosidic bonds. Cyclodextrins are biodegradable and generally considered environmentally friendly. These are utilized in diverse applications, encompassing environmental cleanup which is enhanced through the processes of cross-linking or surface modification. These molecules have a unique structure that enables them to form inclusion complexes with various guest molecules, including organic pollutants, pesticides, dyes, pharmaceuticals, and hydrocarbons. When used in water treatment, cyclodextrins can act as molecular sponges, trapping pollutants within their cavities through non-covalent interactions such as hydrogen bonding, van der Waals forces, and hydrophobic interactions. When cyclodextrins are introduced into water containing pollutants, the pollutants can enter the cavities of cyclodextrin molecules, forming inclusion complexes. This process effectively sequesters the pollutants from the surrounding water, reducing their concentration. It can often be regenerated and reused multiple times, making them cost-effective for water treatment applications. This review presents the primary applications of cyclodextrins for the adsorption of contaminants from various pollutants from diverse sources, based on recent publications.
Complex Multi‐Fault Dynamics in Sikkim Himalaya: New Insights From Local Earthquake Analysis
Authors: Uthaman Mita , Singh Chandrani , Singh Arun , Hetényi György , Dutta Abhisek , Kumar Gaurav , Dubey Arun Kumar 
Published: June 2024

AbstractAnomalously overturned thrust faults, lineaments and segmentation causing cross‐cutting basement structures characterize the tectonic setting of Sikkim Himalaya. However, its seismotectonics is poorly constrained along with the speculated northward extension of the Dhubri‐Chungthang Fault Zone (DCFZ) causing segmentation. Here, we utilize the precise location of newly acquired local earthquake data and fault plane solutions using full‐waveform moment tensor inversion to better constrain seismically active zones. Transtensional shearing along the Main Himalayan Thrust in central Sikkim is possibly incited by fluid‐rich upper‐crust. Cessation of the mapped 20 km wide mid‐crustal seismogenic zone of DCFZ at Chungthang and its northward discontinuation into the Higher Himalayas is confirmed by the striking variation in focal mechanisms. Earthquakes along imbricated segments in the lower‐crust originate possibly in response to crustal shortening. Extensional shearing along the Moho triggers seismicity to the northwest of Sikkim. Such complex tectonic dynamics instigating persistent seismicity indicates high potential for future great earthquakes in Sikkim Himalaya.
Biological Production of Distinct Carbon Pools Drives Particle Export Efficiency in the Southern Ocean
Authors: Huang Yibin , Fassbender Andrea J. 
Published: June 2024

AbstractWe use observations from the Southern Ocean (SO) biogeochemical profiling float array to quantify the meridional pattern of particle export efficiency (PEeff) during the austral productive season. Float estimates reveal a pronounced latitudinal gradient of PEeff, which is quantitatively supported by a compilation of existing ship‐based measurements. Relying on complementary float‐based estimates of distinct carbon pools produced through biological activity, we find that PEeff peaks near the region of maximum particulate inorganic carbon sinking flux in the polar antarctic zone, where net primary production (NPP) is the lowest. Regions characterized by intermediate NPP and low PEeff, primarily in the subtropical and seasonal ice zones, are generally associated with a higher fraction of dissolved organic carbon production. Our study reveals the critical role of distinct biogenic carbon pool production in driving the latitudinal pattern of PEeff in the SO.
Presence of Frozen Fringe Impacts Soft‐Bedded Slip Relationship
Authors: Hansen D. D. , Warburton K. L. P. , Zoet L. K. , Meyer C. R. , Rempel A. W. , Stubblefield A. G. 
Published: June 2024

AbstractGlaciers and ice streams flowing over sediment beds commonly have a layer of ice‐rich debris adhered to their base, known as a “frozen fringe,” but its impact on basal friction is unknown. We simulated basal slip over granular beds with a cryogenic ring shear device while ice infiltrated the bed to grow a fringe, and measured the frictional response under different effective stresses and slip speeds. Frictional resistance increased with increasing slip speed until it plateaued at the frictional strength of the till, closely resembling the regularized Coulomb slip law associated with clean ice over deformable beds. We hypothesize that this arises from deformation in a previously unidentified zone of weakly frozen sediments at the fringe's base, which is highly sensitive to temperature and stress gradients. We show how a rheologic model for ice‐rich debris coupled with the thermomechanics of fringe growth can account for the regularized Coulomb behavior.
Rapid Primary Sulfate Aerosol Generation Observed With OP‐FTIR in the Eruptive Plume of the Fagradalsfjall Basaltic Eruption, Iceland, 2021
Authors: Smekens Jean‐François , Mather Tamsin A. , Burton Mike R. , Varnam Matthew , Pfeffer Melissa A. 
Published: June 2024

AbstractOpen‐Path Fourier‐Transform Infrared (OP‐FTIR) absorption spectroscopy is a powerful method for remote characterization of volcanic plume composition from safe distances. Many studies have used it to examine the composition of volcanic gas emitted at the surface, which is influenced by initial volatile contents and magma ascent/storage processes, and help to reveal the dynamics controlling surface activity. However, to evaluate the health hazard threats associated with volcanic emissions and their potential impact on wider atmospheric conditions, near‐source particle measurements are also key. Here we present a forward model and fitting algorithm which allows quantification of particle size and abundance. This was successfully applied to radiometrically uncalibrated OP‐FTIR spectra collected with a highly dynamic radiation source during the Fagradalsfjall eruption, Iceland, on 11 August 2021. Quantification of plume temperatures ranging from 350 to 650 K was essential to characterize the emission‐absorption behavior of SO2, enabling retrievals of particulate matter in the thermal infrared spectral window (750–1250 cm−1) in each spectrum. For the first time, we observe the rapid formation of primary aerosols in young plumes (only a few seconds old) with OP‐FTIR. Temperature‐dependent SO2/SO42− molar ratios range from 100 to 250, consistent with a primary formation mechanism controlled by cooling and entrainment of atmospheric gases. This novel aerosol spectrum retrieval opens new frontiers in field‐based measurements of sulfur partitioning and volcanic plume evolution, with the potential to improve volcano monitoring and quantification of air quality hazard assessments.
Responses of Marginal and Intrinsic Water‐Use Efficiency to Changing Aridity Using FLUXNET Observations
Authors: Yi Koong , Novick Kimberly A. , Zhang Quan , Wang Lixin , Hwang Taehee , Yang Xi , Mallick Kanishka , Béland Martin , Senay Gabriel B. , Baldocchi Dennis D. 
Published: June 2024

AbstractAccording to classic stomatal optimization theory, plant stomata are regulated to maximize carbon assimilation for a given water loss. A key component of stomatal optimization models is marginal water‐use efficiency (mWUE), the ratio of the change of transpiration to the change in carbon assimilation. Although the mWUE is often assumed to be constant, variability of mWUE under changing hydrologic conditions has been reported. However, there has yet to be a consensus on the patterns of mWUE variabilities and their relations with atmospheric aridity. We investigate the dynamics of mWUE in response to vapor pressure deficit (VPD) and aridity index using carbon and water fluxes from 115 eddy covariance towers available from the global database FLUXNET. We demonstrate a non‐linear mWUE‐VPD relationship at a sub‐daily scale in general; mWUE varies substantially at both low and high VPD levels. However, mWUE remains relatively constant within the mid‐range of VPD. Despite the highly non‐linear relationship between mWUE and VPD, the relationship can be informed by the strong linear relationship between ecosystem‐level inherent water‐use efficiency (IWUE) and mWUE using the slope, m*. We further identify site‐specific m* and its variability with changing site‐level aridity across six vegetation types. We suggest accurately representing the relationship between IWUE and VPD using Michaelis–Menten or quadratic functions to ensure precise estimation of mWUE variability for individual sites.
Inversion of Sea Surface Currents From Satellite‐Derived SST‐SSH Synergies With 4DVarNets
Authors: Fablet R. , Chapron B. , Le Sommer J. , Sévellec F. 
Published: June 2024

AbstractSatellite altimetry offers a unique approach for direct sea surface current observation, but it is limited to measuring the surface‐constrained geostrophic component. Ageostrophic dynamics, prevalent at horizontal scales below 100 km and time scales below 10 days, are often underestimated by ocean reanalyzes employing data assimilation schemes. To address this limitation, we introduce a novel deep learning scheme, rooted in a variational data assimilation formulation with trainable observations and a priori terms, that harnesses the synergies between satellite‐derived sea surface observations, namely sea surface height (SSH) and sea surface temperature (SST), to enhance sea surface current reconstruction. Numerical experiments, conducted using realistic simulations, in a case study area of the Gulf Stream, demonstrate the potential of the proposed scheme to capture ageostrophic dynamics at time scales of 2.5–3.0 days and horizontal scales of 0.5°–0.7°. The analysis of diverse observation configurations, encompassing nadir along‐track altimetry, wide‐swath SWOT (Surface Water and Ocean Topography) altimetry, and SST data, highlights the pivotal role of SST features in retrieving a significant portion of the ageostrophic dynamics (approximately 47%). These findings underscore the potential of deep learning and 4DVarNet schemes in improving ocean reanalyzes and enhancing our understanding of ocean dynamics.
Zeitlin Truncation of a Shallow Water Quasi‐Geostrophic Model for Planetary Flow
Authors: Franken A. D. , Caliaro M. , Cifani P. , Geurts B. J. 
Published: June 2024

AbstractIn this work, we consider a Shallow‐Water Quasi Geostrophic equation on the sphere, as a model for global large‐scale atmospheric dynamics. This equation, previously studied by Verkley (2009, https://doi.org/10.1175/2008jas2837.1) and Schubert et al. (2009, https://doi.org/10.3894/james.2009.1.2), possesses a rich geometric structure, called Lie‐Poisson, and admits an infinite number of conserved quantities, called Casimirs. In this paper, we develop a Casimir preserving numerical method for long‐time simulations of this equation. The method develops in two steps: first, we construct an N‐dimensional Lie‐Poisson system that converges to the continuous one in the limit N → ∞; second, we integrate in time the finite‐dimensional system using an isospectral time integrator, developed by Modin and Viviani (2020, https://doi.org/10.1017/jfm.2019.944). We demonstrate the efficacy of this computational method by simulating a flow on the entire sphere for different values of the Lamb parameter. We particularly focus on rotation‐induced effects, such as the formation of jets. In agreement with shallow water models of the atmosphere, we observe the formation of robust latitudinal jets and a decrease in the zonal wind amplitude with latitude. Furthermore, spectra of the kinetic energy are computed as a point of reference for future studies.
Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux
Authors: Cruz Alfredo A. , Siddalingappa Rashmi , Mehta Piyush M. , Morley Steven K. , Godinez Humberto C. , Jordanova Vania K. 
Published: June 2024

AbstractIn this work, we address the computational challenge of large‐scale physics‐based simulation models for the ring current. Reduced computational cost allows for significantly faster than real‐time forecasting, enhancing our ability to predict and respond to dynamic changes in the ring current, valuable for space weather monitoring and mitigation efforts. Additionally, it can also be used for a comprehensive investigation of the system. Thus, we aim to create an emulator for the Ring current‐Atmosphere interactions Model with Self‐Consistent magnetic field (RAM‐SCB) particle flux that not only improves efficiency but also facilitates forecasting with reliable estimates of prediction uncertainties. The probabilistic emulator is built upon the methodology developed by Licata and Mehta (2023), https://doi.org/10.1029/2022sw003345. A novel discrete sampling is used to identify 30 simulation periods over 20 years of solar and geomagnetic activity. Focusing on a subset of particle flux, we use Principal Component Analysis for dimensionality reduction and Long Short‐Term Memory (LSTM) neural networks to perform dynamic modeling. Hyperparameter space was explored extensively resulting in about 5% median symmetric accuracy across all data sets for one‐step dynamic prediction. Using a hierarchical ensemble of LSTMs, we have developed a reduced‐order probabilistic emulator (ROPE) tailored for time‐series forecasting of particle flux in the ring current. This ROPE offers accurate predictions of omnidirectional flux at a single energy with no pitch angle information, providing robust predictions on the test set with an error score below 11% and calibration scores under 8% with bias under 2% providing a significant speed up as compared to the full RAM‐SCB run.
Evidence for an Imbricated Lower Crust and Its Role in Accommodating Crustal Shortening in Sikkim Himalaya
Authors: Singh Arun , Kumar Gaurav , Singh Chandrani , Kumar M. Ravi , Uthaman Mita , Vadlamani Ravikant , Dutta Abhisek , Saikia Dipankar , Dubey Arun Kumar 
Published: June 2024

AbstractGeometrical heterogeneity of the subducting Indian continental crust along the Himalaya‐Tibet collision zone remains enigmatic. Mass budget estimates describing shortening across the orogen are partly derived from observations made from seismic imaging of the deep earth. Here, using data from 38 broadband seismic stations covering Sikkim Himalaya, we produce high resolution seismic images in order to fill crucial gaps in our understanding of the evolution of Himalayan collision zone. We used 12,288 high quality receiver functions computed using waveforms of earthquakes having magnitude >5.5 in the distance range of 30°–100°. Our results reveal a highly imbricated and heterogeneous crust beneath Sikkim Himalaya. The Main Himalayan Thrust (MHT) responsible for large scale earthquakes in the Himalayan collision zone is not so distinct in the migrated images, but intermittent. A dominant cluster of earthquakes at shallower depths is associated with the MHT, marked by negative amplitude arrivals. The Moho is found to be gently dipping, reaching depths of ∼60 km beneath the Higher Himalaya compared to ∼40 km in the Himalayan foredeep. Interestingly, the Moho in this part of Himalaya has offsets and overlapping segments, indicating crustal imbrication in response to active shortening. Clusters of lower crustal earthquakes coincide with the junction of offsets in the Moho.