bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Very Low Frequency Wave Intensities Measured by a Low‐Altitude Spacecraft and on the Ground
Authors: Němec F. , Drastichová K. , Manninen J. , Martinez‐Calderon C. , Shiokawa K. , Connors M. 
Published: July 2024

AbstractWe evaluate average wave intensities at frequencies up to 10 kHz measured by two ground stations in Canada and two others in Finland at auroral and subauroral latitudes over a full year, as well as by the low‐altitude DEMETER spacecraft during the years 2004–2010. Lightning location and energy data obtained by the World Wide Lightning Location Network, along with geomagnetic activity characterized by the Kp index, are further used. Latitudinal, diurnal, and annual variations are analyzed, and the global intensities measured on the ground and by the spacecraft are systematically compared for the first time. We show that lightning‐generated waves often dominate the measured wave intensities, particularly during the night, in summer, and at higher frequencies. DEMETER observations, supported by ray‐tracing analysis, reveal a significant role of nonducted lightning‐generated whistler propagation between the hemispheres. Finally, the wave intensity response to geomagnetic activity variations is quite different on the ground compared to in space. While spacecraft‐measured wave intensities are considerably larger during periods of enhanced geomagnetic activity, the ground‐based intensities are only sporadically enhanced during geomagnetically active periods.
Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network
Authors: Sun Ruochen , Pan Baoxiang , Duan Qingyun 
Published: July 2024

AbstractLand surface hydrologic models adeptly capture crucial terrestrial processes with a high level of spatial detail. Typically, these models incorporate numerous uncertain, spatially varying parameters, the specification of which can profoundly impact the simulation capabilities. There is a longstanding tradition wherein parameter calibration has served as the conventional procedure to enhance model performance. However, calibrating distributed land surface hydrologic models presents a great challenge, often resulting in uneven spatial performance due to the compression of information inherent in model outputs and observations into a single‐value objective function. To address this problem, we propose a novel Generative Adversarial Network‐based Parameter Optimization (GAN‐PO) method. By leveraging a deep neural network to discern model spatial biases, we train a generative network to produce spatially coherent parameter fields, minimizing distinctions between simulations and observations. By leveraging neural network‐based surrogate models to make the physical model differentiable, we employ GAN‐PO to calibrate the Variable Infiltration Capacity (VIC) model against evapotranspiration (ET) over China's Huaihe basin. The results show that GAN‐PO can diminish errors in simulated ET derived from default parameters across nearly all grid cells within the study region, surpassing the conventional calibration approach based on the parameter regionalization technique. Ablation analysis indicates that relying solely on the traditional loss could lead to deteriorated model performance, underscoring the crucial role of the discriminator. Notably, due to the discriminator's explicit identification of model spatial biases, GAN‐PO excels in maintaining spatial consistency, outperforming the state‐of‐the‐art differentiable parameter learning (dPL) method in terms of model spatial performance.
Thalamocortical functional connectivity and rapid antidepressant and antisuicidal effects of low-dose ketamine infusion among patients with treatment-resistant depression
Authors: Tu Pei-Chi , Chang Wan-Chen , Su Tung-Ping , Lin Wei-Chen , Li Cheng-Ta , Bai Ya-Mei , Tsai Shih-Jen , Chen Mu-Hong 
Published: July 2024

AbstractPrevious studies have shown an association between the thalamocortical dysconnectivity and treatment-resistant depression (TRD). Whether a single subanesthetic dose of ketamine may change thalamocortical connectivity among patients with TRD is unclear. Whether these changes in thalamocortical connectivity is associated with the antidepressant and antisuicidal effects of ketamine treatment is also unclear. Two resting-state functional MRIs were collected in two clinical trials of 48 patients with TRD (clinical trial 1; 32 receiving ketamine, 16 receiving a normal saline placebo) and 48 patients with TRD and strong suicidal ideation (clinical trial 2; 24 receiving ketamine, 24 receiving midazolam), respectively. All participants underwent rs-fMRI before and 3 days after infusion. Seed-based functional connectivity (FC) was analyzed in the left/right thalamus. FCs between the bilateral thalamus and right middle frontal cortex (BA46) and between the left thalamus and left anterior paracingulate gyrus (BA8) increased among patients in the ketamine group in clinical trials 1 and 2, respectively. FCs between the right thalamus and bilateral frontal pole (BA9) and between the right thalamus and left rostral paracingulate gyrus (BA10) decreased among patients in the ketamine group in clinical trials 1 and 2, respectively. However, the associations between those FC changes and clinical symptom changes did not survive statistical significance after multiple comparison corrections. Whether ketamine-related changes in thalamocortical connectivity may be associated with ketamine’s antidepressant and antisuicidal effects would need further investigation. Clinical trials registration: UMIN Clinical Trials Registry (UMIN-CTR): Registration number: UMIN000016985 and UMIN000033916.
Development and validation of a clinical nomogram to predict prostatic inflammation in men with lower urinary tract symptoms
Authors: Gravas Stavros , De Nunzio Cosimo , Campos Pinheiro Luís , Ponce de León Javier , Skriapas Konstantinos , Milad Ziad , Lombardo Riccardo , Medeiros Mariana , Makrides Pantelis , Samarinas Michael , Gacci Mauro 
Published: July 2024

Abstract
Background
Prostatic inflammation is an important etiological component of benign prostatic hyperplasia (BPH) and lower urinary tract symptoms (LUTS). The Prostatic Inflammation Nomogram Study (PINS) aimed to develop and validate a nomogram for predicting the presence of prostatic inflammation in men with LUTS.

Methods
This non-interventional, cross-sectional, prospective study was conducted in six secondary/tertiary centers across Cyprus, Greece, Italy, Portugal, and Spain. Men (≥40 years) with BPH/LUTS scheduled to undergo prostatic surgery or transrectal ultrasound-guided (TRUS) prostate biopsy were included. Fifteen demographic and clinical participant characteristics were selected as possible predictors of prostatic inflammation. The presence of inflammation (according to Irani score) in the prostatic tissue samples obtained from surgery/TRUS biopsy was determined. The effect of each characteristic on the likelihood a prostate specimen demonstrated inflammation (classified by Irani score into two categories, 0–2 [no/minimal inflammation] or 3–6 [moderate/severe inflammation]) was assessed using multiple logistic regression. A nomogram was developed and its discriminatory ability and validity were assessed.

Results
In total, 423 patients (mean age 68.9 years) were recruited. Prostate volume ultrasound (PVUS) > 50 mL, history of urinary tract infection (UTI) treatment, presence of diabetes, and International Prostate Symptom Score (IPPS) Storage score were statistically significant predictors of Irani classification. Logistic regression demonstrated a statistically significant effect for leucocytes detected via urine dipstick, presence of diabetes, PVUS > 50 mL, history of UTIs, and higher IPSS Storage score for the odds of an inflammatory score category of 3–6 versus 0–2. The nomogram had a concordance index of 0.71, and good internal validity.

Conclusions
The nomogram developed from PINS had good predictive ability and identified various characteristics to be predictors of prostatic inflammation. Use of the nomogram may aid in individualizing treatment for LUTS, by identifying individuals who are candidates for therapies targeting prostatic inflammation.
Reasons for non-feasibility of therapeutic drug monitoring of oral targeted therapies in oncology – an analysis of the closed cohorts of a multicentre prospective study
Authors: van der Kleij Maud B. A. , Guchelaar Niels A. D. , Meertens Marinda , Westerdijk Kim , Giraud Eline L. , Bleckman Roos F. , Groenland Stefanie L. , van Eerden Ruben A. G. , Imholz Alex L. T. , Vulink Annelie J. E. , Otten Hans-Martin , Fiebrich-Westra Helle-Brit , Lubberman Floor J. E. , Desar Ingrid M. E. , Moes Dirk-Jan A. R. , Touw Daan J. , Koolen Stijn L. W. , Gelderblom Hans , Reyners An K. L. , van Erp Nielka P. , Mathijssen Ron H. J. , Huitema Alwin D. R. ,   Dutch Pharmacology Oncology Group (DPOG), Steeghs Neeltje 
Published: July 2024

Abstract
Background
Therapeutic drug monitoring (TDM) – performing dose adjustments based on measured drug levels and established pharmacokinetic (PK) targets – could optimise treatment with drugs that show large interpatient variability in exposure. We evaluated the feasibility of TDM for multiple oral targeted therapies. Here we report on drugs for which routine TDM is not feasible.

Methods
We evaluated drug cohorts from the Dutch Pharmacology Oncology Group – TDM study. Based on PK levels taken at pre-specified time points, PK-guided interventions were performed. Feasibility of TDM was evaluated, and based on the success and practicability of TDM, cohorts could be closed.

Results
For 10 out of 24 cohorts TDM was not feasible and inclusion was closed. A high incidence of adverse events resulted in closing the cabozantinib, dabrafenib/trametinib, everolimus, regorafenib and vismodegib cohort. The enzalutamide and erlotinib cohorts were closed because almost all PK levels were above target. Other, non-pharmacological reasons led to closing the palbociclib, olaparib and tamoxifen cohort.

Conclusions
Although TDM could help personalising treatment for many drugs, the above-mentioned reasons can influence its feasibility, usefulness and clinical applicability. Therefore, routine TDM is not advised for cabozantinib, dabrafenib/trametinib, enzalutamide, erlotinib, everolimus, regorafenib and vismodegib. Nonetheless, TDM remains valuable for individual clinical decisions.
Aggregation promotes charge separation in fullerene-indacenodithiophene dyad
Authors: Wang Chong , Wu Bo , Li Yang , Zhou Shen , Wu Conghui , Dong Tianyang , Jiang Ying , Hua Zihui , Song Yupeng , Wen Wei , Tian Jianxin , Chai Yongqiang , Wen Rui , Wang Chunru 
Published: July 2024

AbstractFast photoinduced charge separation (CS) and long-lived charge-separated state (CSS) in small-molecules facilitate light-energy conversion, while simultaneous attainment of both remains challenging. Here we accomplish this through aggregation based on fullerene-indacenodithiophene dyads. Transient absorption spectroscopy reveals that, compared to solution, the CS time in aggregates is accelerated from 41.5 ps to 0.4 ps, and the CSS lifetime is prolonged from 311.4 ps to 40 μs, indicating that aggregation concomitantly promotes fast CS and long-lived CSS. Fast CS arises from the hot charge-transfer states dissociation, opening up additional resonant channels to free carriers (FCs); subsequently, charge recombination into intramolecular triplet CSS becomes favorable mediated by spin-uncorrelated FCs. Different from fullerene/indacenodithiophene blends, the unique CS mechanism in dyad aggregates reduces the long-lived CSS dependence on molecular order, resulting in a CSS lifetime 200 times longer than blends. This endows the dyad aggregates to exhibit both photoelectronic switch properties and superior photocatalytic capabilities.
Demonstration for cold atmospheric pressure plasma jet operation and antibacterial action in microgravity
Authors: Rouillard A. , Escot Bocanegra P. , Stancampiano A. , Dozias S. , Lemaire J. , Pouvesle J. M. , Robert E. , Brulé-Morabito F. , Demasure M. , Rouquette S. 
Published: July 2024

AbstractCold atmospheric pressure plasma (ionized gas) is an innovative medical tool for the treatment of infected wounds thanks to its potential to inactivate drug-resistant microorganisms and promote tissue regeneration and vascularization. The low power consumption, compactness, and versatility of Cold Atmospheric Pressure Plasma (CAPP) devices make them an ideal tool for risk mitigation associated with human spaceflights. This work presents results in microgravity on the operability of CAPP and its antimicrobial effect. The experiments carried out in parabolic flights make it possible to optimize the treatment conditions (i.e., the distance, the gas mixture) and to obtain the rapid inactivation (<15 s) of Escherichia coli samples. Interestingly, the inactivation efficiency of CAPP was higher during parabolic flights than under terrestrial conditions. Overall, these results encourage the further development of CAPP medical devices for its implementation during human spaceflights.
A randomised trial of malaria vaccine R21/Matrix-M™ with and without antimalarial drugs in Thai adults
Authors: Hanboonkunupakarn Borimas , Mukaka Mavuto , Jittamala Podjanee , Poovorawan Kittiyod , Pongsuwan Pongphaya , Stockdale Lisa , Provstgaard-Morys Samuel , Chotivanich Kesinee , Tarning Joel , Hoglund Richard M. , Chimjinda Natenapa , Ewer Katie , Ramos-Lopez Fernando , Day Nicholas P. J. , Dondorp Arjen M. , Hill Adrian V. , White Nicholas J. , von Seidlein Lorenz , Pukrittayakamee Sasithon 
Published: July 2024

AbstractIn preparation for mass vaccinations with R21/Matrix-M™ combined with mass administrations of dihydroartemisinin, piperaquine, and a single low dose primaquine we assessed the tolerability, safety, and potential interactions of this combination affecting immunogenicity or pharmacokinetics. 120 healthy Thai volunteers were randomised to receive either antimalarials combined with vaccinations (n = 50), vaccinations alone (n = 50), or antimalarials only (n = 20). Three rounds of vaccines and antimalarials were administered one month apart. The vaccine was well tolerated alone and in combination with the antimalarials. None of the participants failed completion of the 3-dose vaccine course. There was no significant difference in the vaccine immunogenicity or in the pharmacokinetics of piperaquine given individually or in combination. This study supports proceeding to a large trial of mass vaccinations with R21/Matrix-M™ combined with mass antimalarial administration in Bangladesh.
16S rRNA, metagenomics and 2bRAD-M sequencing to decode human thanatomicrobiome
Authors: Huang Xin , Zeng Jianye , Li Shilin , Chen Ji , Wang Hongyan , Li Chengtao , Zhang Suhua 
Published: July 2024

AbstractMicroorganisms are essential in the decomposition of corpses and play a significant role in forensic science. However, previous studies have primarily focused on animal remains, specifically the gut, skin, and burial environment. Insufficient research has been conducted on the microbiota of human cadavers, especially in cases of advanced decomposition and additional tissues, resulting in a lack of relevant reference data. In this study, the microbiota of eight cadavers at different stages of decomposition were detected using 16S rRNA, metagenomic sequencing and 2bRAD-M sequencing. Nine different sites, including oral and nasal cavities, heart, liver, spleen, lung, kidney, muscle and gut, were analysed and the efficacy of these methods was evaluated. The results showed that 16S rRNA sequencing was the most cost-effective method for the study of cadavers in the early stages of decomposition, whereas for cadaveric tissues in the late stages of decomposition, 2bRAD-M could overcome host contamination more effectively than metagenomic sequencing. This paves the way for new opportunities in data retrieval and promotes in-depth investigations into the microbiota.
40 years of forest dynamics and tree demography in an intact tropical forest at M’Baïki in central Africa
Authors: Bénédet Fabrice , Gourlet-Fleury Sylvie , Allah-Barem Félix , Baya Fidèle , Beina Denis , Cornu Guillaume , Dimanche Luc , Dubiez Émilien , Forni Éric , Freycon Vincent , Mortier Frédéric , Ouédraogo Dakis-Yaoba , Picard Nicolas , Rossi Vivien , Semboli Olivia , Yalibanda Yves , Yongo-Bombo Olga , Fayolle Adeline 
Published: July 2024

AbstractA vast silvicultural experiment was set up in 1982 nearby the town of M’Baïki in the Central African Republic to monitor the recovery of tropical forests after disturbance. The M’Baïki experiment consists of ten 4-ha Permanent Sample Plots (PSPs) that were assigned to three silvicultural treatments in 1986 according to a random block design. In each plot, all trees with a girth at breast height greater than 30 cm were spatially located, numbered, measured, and determined botanically. Girth, mortality and newly recruited trees, were monitored almost annually over the 1982–2022 period with inventory campaigns for 35 years. The data were earlier used to fit growth and population models, to study the species composition dynamics, and the effect of silvicultural treatments on tree diversity and aboveground biomass. Here, we present new information on the forest stand structure dynamics and tree demography. The data released from this paper cover the three control plots and constitute a major contribution for further studies about the biodiversity of intact tropical forests.
BULL Database – Spanish Basin attributes for Unravelling Learning in Large-sample hydrology
Authors: Senent-Aparicio Javier , Castellanos-Osorio Gerardo , Segura-Méndez Francisco , López-Ballesteros Adrián , Jimeno-Sáez Patricia , Pérez-Sánchez Julio 
Published: July 2024

AbstractWe present a novel basin dataset for large-sample hydrological studies in Spain. BULL comprises data for 484 basins, combining hydrometeorological time series with several attributes related to geology, soil, topography, land cover, anthropogenic influence and hydroclimatology. Thus, we followed recommendations in the CARAVAN initiative for generating a truly open global hydrological dataset to collect these attributes. Several climatological data sources were used, and their data were validated by hydrological modelling. One of the main novelties of BULL compared to other national-scale datasets is the analysis of the hydrological alteration of the basins included in this dataset. This aspect is critical in countries such as Spain, which are characterised by rivers suffering from the highest levels of anthropisation. The BULL dataset is freely available at https://zenodo.org/records/10605646.
Foam density mapping via THz imaging
Authors: Catapano Ilaria , Zappia Sonia , Iaccarino Paolo , Scapaticci Rosa , Di Maio Ernesto , Crocco Lorenzo 
Published: July 2024

AbstractPlastic foams, near-ubiquitous in everyday life and industry, show properties that depend primarily on density. Density measurement, although straightforward in principle, is not always easy. As such, while several methods are available, plastic foam industry is not yet supported with a standard technique that effectively enables to control density maps. To overcome this issue, this paper proposes Terahertz (THz) time-of-flight imaging using normal reflection measurements as a fast, relatively cheap, contactless, non-destructive and non-dangerous way to map plastic foam density, based on the expected relationship between density and refractive index. The approach is demonstrated in the case of polypropylene foams. First, the relationship between the estimated effective refractive index and the polypropylene foam density is derived by characterizing a set of carefully crafted samples having uniform density in the range 70–900 kg/m3. The obtained calibration curve subtends a linear relationship between the density and the refractive index in the range of interest. This relationship is validated against a set of test samples, whose estimated average densities are consistent with the nominal ones, with an absolute error lower than 10 kg/m3 and a percentage error on the estimate of 5%. Exploiting the calibration curve, it is possible to build quantitative images depicting the spatial distribution of the sample density. THz images are able to reveal the non-uniform density distribution of some samples, which cannot be appreciated from visual inspection. Finally, the complex spatial density pattern of a graded foam sample is characterized and quantitatively compared with the density map obtained via X-ray microscopy. The comparison confirms that the proposed THz approach successfully determines the density pattern with an accuracy and a spatial scale variability compliant with those commonly required for plastic foam density estimate.
Enhancement of porous asphalt mixtures modified with various fibers and ethylene–vinyl acetate polymer
Authors: Nazmey Kareem G. , Eisa Mohammed S. , Morsi Ahmed Gamal M. , Debaiky Ahmed S. 
Published: July 2024

AbstractPorous asphalt mixture is conventional hot mix asphalt (HMA) with substantially decreased fines, which produces an open-graded mixture that enables the water to flow through an interconnected void space. Porous asphalt is a permeable system that has a lot of benefits. However, because of its open structure, the durability of this mixture decreases, and both its stability and resilient modulus are much lower compared to the dense conventional asphalt mixtures. Also, the high void percentage may lead to an increase in the draindown proportion. Fibers (cellulose or mineral) and polymer-modified binders are recommended for porous asphalt mixtures, especially in hot and moderate climates. The objective of this study is to improve the porous asphalt mixture's performance by using ethylene–vinyl acetate (EVA) polymer-modified bitumen. Two types of fibers (cellulose fibers and glass wool fibers) were used, separately to determine the control mixture. Four different proportions of EVA polymer were added to the bitumen (1%, 2%, 3%, and 4%) and Scanning Electron Microscopy (SEM) was used for better investigating of the bitumen microstructure, then The Marshall mix design was used to determine the optimum EVA content (OEC) for the porous asphalt mixture. Several performance tests were conducted to investigate the characteristics of the porous asphalt mixture, such as the infiltration rate, binder draindown, the wheel track and the cantabro abrasion tests. The findings of the study conclude that the addition of EVA polymer to the porous asphalt mixtures enhances the performance as it increases stability by 20.8% and the infiltration rate by 20.6%. It decreases binder draindown proportion by 33.3%, cantabro abrasion loss by 25.1% and the rut depth at 5,000 cycles and 10,000 cycles by 29.8% and 19.7%, respectively.