bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Eccentricity and Horizontal Electric Field on the Characteristics and Outcomes of Binary Collisions of Water Drops
Authors: Pawar Vidya , Bhalwankar Rohini , Kamra A. K. 
Published: August 2024

AbstractEffects of eccentricity and horizontal electric field (EH) on the binary‐collision outcomes of water drops are examined using numerically calculated collision characteristics from previous studies and results of simulation experiment conducted by the authors. For a fixed collision kinetic energy (CKE), filament breakups can occur at all values of eccentricity but events of coalescence decrease, and that of sheet breakup increase with increasing eccentricity in absence of EH. However, as EH increases to ∼300 kVm−1 it opposes the variability of the coalescence and sheet breakup events with eccentricity. When EH exceeds ∼300 kVm−1 the collision outcomes might be determined only by the CKE and EH. The calculated value of coalescence efficiency and total number of fragments after a binary collision decreases with an increase in EH. It is argued that an electric field can significantly modify drop size distribution in thunderclouds and needs to be considered for development of precipitation.
Continent‐Side Uplifted Mantle and Geological Imprints Along a Paleo Rift in the Western East Sea (Sea of Japan)
Authors: Park Seongjun , Hong Tae‐Kyung 
Published: August 2024

AbstractWe investigate the continent‐size lithospheric structures of paleo rift around the central Korean Peninsula using ambient noise tomography and earthquake‐based Eikonal tomography based on dense seismic networks. We determine Rayleigh‐wave group velocities at periods of 1–15 s from ambient noise tomography and Rayleigh‐wave phase velocities at periods of 20–80 s from earthquake‐based Eikonal tomography. We determine a 3‐D shear‐wave velocity model in the lithosphere from the Rayleigh wave velocities. The model exhibits high lateral variations ranging from ‒9% to 8%, depending on depth. The shear‐wave velocities at shallow depths (2 km) are relatively high in mountain regions and low in coastal and basin regions. Strong velocity contrasts are observed around major earthquake hypocenters at depths of 3–20 km, which may be due to the presence of seismogenic faults. Shear‐wave velocities at depths of 30–40 km are high along the east coast, suggesting uplifted mantle that is responsible for the opening of the East Sea (Sea of Japan). High velocity structures beneath Moho around the coast may suggest solidified underplated magma caused by the paleo rifting. The root of coast‐parallel high‐mountain range (Taebaek Mountain Range) is bounded by the uplifted mantle, presenting mountain range development in rift flank along paleo‐rift axis. Low shear‐wave velocities along the coast at depths km may imply elevated temperature beneath the solidified underplated magma. The continent‐side paleo rift affects the geological, thermal, and seismological properties around the continental margin at present.
Hybrid Eu(II)-bromide scintillators with efficient 5d-4f bandgap transition for X-ray imaging
Authors: Han Kai , Jin Jiance , Wang Yuzhen , Zhou Xinquan , Sun Yongsheng , Chen Lihan , Xia Zhiguo 
Published: August 2024

AbstractLuminescent metal halides are attracting growing attention as scintillators for X-ray imaging in safety inspection, medical diagnosis, etc. Here we present brand-new hybrid Eu(II)-bromide scintillators, 1D type [Et4N]EuBr3·MeOH and 0D type [Me4N]6Eu5Br16·MeOH, with spin-allowed 5d-4fbandgap transition emission toward simplified carrier transport during scintillation process. The 1D/0D structures with edge/face -sharing [EuBr6]4−octahedra further contribute to lowing bandgaps and enhancing quantum confinement effect, enabling efficient scintillation performance (light yield ~73100 ± 800 Ph MeV−1, detect limit ~18.6 nGy s−1, X-ray afterglow ~ 1% @ 9.6 μs). We demonstrate the X-ray imaging with 27.3 lp mm−1resolution by embedding Eu(II)-based scintillators into AAO film. Our results create the new family of low-dimensional rare-earth-based halides for scintillation and related optoelectronic applications.
Ultrasensitive SERF atomic magnetometer with a miniaturized hybrid vapor cell
Authors: Ma Yintao , Chen Yao , Yu Mingzhi , Wang Yanbin , Lu Shun , Guo Ju , Luo Guoxi , Zhao Libo , Yang Ping , Lin Qijing , Jiang Zhuangde 
Published: August 2024

AbstractThe chip-scale hybrid optical pumping spin-exchange relaxation-free (SERF) atomic magnetometer with a single-beam arrangement has prominent applications in biomagnetic measurements because of its outstanding features, including ultrahigh sensitivity, an enhanced signal-to-noise ratio, homogeneous spin polarization and a much simpler optical configuration than other devices. In this work, a miniaturized single-beam hybrid optical pumping SERF atomic magnetometer based on a microfabricated atomic vapor cell is demonstrated. Although the optically thin Cs atoms are spin-polarized, the dense Rb atoms determine the experimental results. The enhanced signal strength and narrowed resonance linewidth are experimentally proven, which shows the superiority of the proposed magnetometer scheme. By using a differential detection scheme, we effectively suppress optical noise with an approximate five-fold improvement. Moreover, the cell temperature markedly affects the performance of the magnetometer. We systematically investigate the effects of temperature on the magnetometer parameters. The theoretical basis for these effects is explained in detail. The developed miniaturized magnetometer has an optimal magnetic sensitivity of 20 fT/Hz1/2. The presented work provides a foundation for the chip-scale integration of ultrahighly sensitive quantum magnetometers that can be used for forward-looking magnetocardiography (MCG) and magnetoencephalography (MEG) applications.
Functionalized monodisperse microbubble production: microfluidic method for fast, controlled, and automated removal of excess coating material
Authors: van den Broek M. R. P. , Versluis M. , van den Berg A. , Segers T. 
Published: August 2024

AbstractFunctionalized monodisperse microbubbles have the potential to boost the sensitivity and efficacy of molecular ultrasound imaging and targeted drug delivery using bubbles and ultrasound. Monodisperse bubbles can be produced in a microfluidic flow focusing device. However, their functionalization and sequential use require removal of the excess lipids from the bubble suspension to minimize the use of expensive ligands and to avoid competitive binding and blocking of the receptor molecules. To date, excess lipid removal is performed by centrifugation, which is labor intensive and challenging to automate. More importantly, as we show, the increased hydrostatic pressure during centrifugation can reduce bubble monodispersity. Here, we introduce a novel automated microfluidic ’washing’ method. First, bubbles are injected in a microfluidic chamber 1 mm in height where they are left to float against the top wall. Second, lipid-free medium is pumped through the chamber to remove excess lipids while the bubbles remain located at the top wall. Third, the washed bubbles are resuspended and removed from the device into a collection vial. We demonstrate that the present method can (i) reduce the excess lipid concentration by 4 orders of magnitude, (ii) be fully automated, and (iii) be performed in minutes while the size distribution, functionality, and acoustic response of the bubbles remain unaffected. Thus, the presented method is a gateway to the fully automated production of functionalized monodisperse microbubbles.
LUBAC enables tumor-promoting LTβ receptor signaling by activating canonical NF-κB
Authors: Chen Yu-Guang , Rieser Eva , Bhamra Amandeep , Surinova Silvia , Kreuzaler Peter , Ho Meng-Hsing , Tsai Wen-Chiuan , Peltzer Nieves , de Miguel Diego , Walczak Henning 
Published: August 2024

AbstractLymphotoxin β receptor (LTβR), a member of the TNF receptor superfamily (TNFR-SF), is essential for development and maturation of lymphoid organs. In addition, LTβR activation promotes carcinogenesis by inducing a proinflammatory secretome. Yet, we currently lack a detailed understanding of LTβR signaling. In this study we discovered the linear ubiquitin chain assembly complex (LUBAC) as a previously unrecognized and functionally crucial component of the native LTβR signaling complex (LTβR-SC). Mechanistically, LUBAC-generated linear ubiquitin chains enable recruitment of NEMO, OPTN and A20 to the LTβR-SC, where they act coordinately to regulate the balance between canonical and non-canonical NF-κB pathways. Thus, different from death receptor signaling, where LUBAC prevents inflammation through inhibition of cell death, in LTβR signaling LUBAC is required for inflammatory signaling by enabling canonical and interfering with non-canonical NF-κB activation. This results in a LUBAC-dependent LTβR-driven inflammatory, protumorigenic secretome. Intriguingly, in liver cancer patients with high LTβR expression, high expression of LUBAC correlates with poor prognosis, providing clinical relevance for LUBAC-mediated inflammatory LTβR signaling.
Genetic investigation of patients with autosomal recessive ataxia and identification of two novel variants in the SQSTM1 and SYNE1 genes
Authors: Mokhtari Diana , Jahanpanah Mohammad , Jabbari Nasim , Azari Hamed , Davarnia Sana , Mokaber Haleh , Arish Sara , Molatefi Rasol , Abbasi Vahid , Davarnia Behzad 
Published: August 2024

Abstract
Hereditary ataxias are classified by inheritance patterns into autosomal dominant, autosomal recessive, X-linked, and mitochondrial modes of inheritance. A large group of adult hereditary ataxias have autosomal dominant inheritance, and autosomal recessive cerebellar ataxias (ARCAs) are rare, with greater diversity in phenotypic and genotypic features. Therefore, comprehensive genetic testing is useful for identifying the genes responsible for ARCAs. We identified two novel pathogenic variants of the SQSTM1 and SYNE1 genes via whole-exome sequencing in patients with ARCAs.
The importance of A-site cation chemistry in superionic halide solid electrolytes
Authors: Barker Kit , McKinney Sarah L. , Artal Raül , Jiménez Ricardo , Tapia-Ruiz Nuria , Skinner Stephen J. , Aguadero Ainara , Seymour Ieuan D. 
Published: August 2024

AbstractHalide solid electrolytes do not currently display ionic conductivities suitable for high-power all-solid-state batteries. We explore the model system A2ZrCl6 (A = Li, Na, Cu, Ag) to understand the fundamental role that A-site chemistry plays on fast ion transport. Having synthesised the previously unknown Ag2ZrCl6 we reveal high room temperature ionic conductivities in Cu2ZrCl6 and Ag2ZrCl6 of 1 × 10−2 and 4 × 10−3 S cm−1, respectively. We introduce the concept that there are inherent limits to ionic conductivity in solids, where the energy and number of transition states play pivotal roles. Transport that involves multiple coordination changes along the pathway suffer from an intrinsic minimum activation energy. At certain lattice sizes, the energies of different coordinations can become equivalent, leading to lower barriers when a pathway involves a single coordination change. Our models provide a deeper understanding into the optimisation and design criteria for halide superionic conductors.
Positive effect of a diggable substrate on the behaviour of a captive naked mole rat colony
Authors: Amari Myriam , Mary Alma , Zablocki-Thomas Pauline , Bourgeois Aude , Pouydebat Emmanuelle 
Published: August 2024

AbstractNaked mole rats (Heterocephalus galber) are eusocial mammals from East Africa. Their extraordinary social organisation is accompanied by remarkable adaptations to an underground lifestyle, extreme longevity and resistance to many diseases, making naked mole rats a highly relevant model for biological research. However, their living conditions in controlled environments do not allow them to express fundamental behaviours: digging galleries and exploring. This gap probably constitutes a bias to any behavioural or even medical study, because it represents a potential obstacle to their well-being. In this article, we tested the effects of the introduction of a diggable substrate on the behaviour of a colony of naked mole rats at the Menagerie, le Zoo du Jardin des Plantes, Paris. We measured individual exploratory latencies, the number of entries per minute and the frequency with which naked mole rats gnawed tunnels during observation trials. We found that: (i) young individuals explore more quickly, (ii) the introduction of a diggable substrate encourages exploration and digging behaviour, and (iii) could therefore be a relevant element to introduce under human care. This new environmental design could improve the welfare of naked mole rats by creating opportunities for cognitive challenges such as exploration and environmental control.
Rutin of Moringa oleifera as a potential inhibitor to Agaricus bisporus tyrosinase as revealed from the molecular dynamics of inhibition
Authors: El-Sharkawy Reyad M. , El-Hadary Abdalla E. , Essawy Heba S. , El-Sayed Ashraf S. A. 
Published: August 2024

AbstractTyrosinase is a binuclear copper-containing enzyme that catalyzes the conversation of monophenols to diphenols via o-hydroxylation and then the oxidation of o-diphenols to o-quinones which is profoundly linked to eukaryotic melanin synthesis and fruits browning. The hyperpigmentation due to unusual tyrosinase activity has gained growing health concern. Plants and their metabolites are considered promising and effective sources for potent antityrosinase enzymes. Hence, searching for potent, specific tyrosinase inhibitor from different plant extracts is an alternative approach in regulating overproduction of tyrosinase. Among the tested extracts, the hydro-alcoholic extract of Moringa oleifera L. leaves displayed the potent anti-tyrosinase activity (IC50 = 98.93 µg/ml) in a dose-dependent manner using L-DOPA as substrate; however, the kojic acid showed IC50 of 88.92 µg/ml. The tyrosinase-diphenolase (TYR-Di) kinetic analysis revealed mixed inhibition type for the Ocimum basilicum L. and Artemisia annua L. extracts, while the Coriandrum sativum L. extract displayed a non-competitive type of inhibition. Interestingly, the extract of Moringa oleifera L. leaves exhibited a competitive inhibition, low inhibition constant of free enzyme ($${\text{K}}_{\text{ii}}^{\text{app}}$$

K

ii

app

) value and no Pan-Assay Interfering Substances, hinting the presence of strong potent inhibitors. The major putative antityrosinase compound in the extract was resolved, and chemically identified as rutin based on various spectroscopic analyses using UV–Vis, FTIR, mass spectrometry, and 1H NMR. The in silico computational molecular docking has been performed using rutin and A. bisporus tyrosinase (PDB code: 2Y9X). The binding energy of the predicted interaction between tropolone native ligand, kojic acid, and rutin against 2Y9X was respectively − 5.28, − 4.69, and − 7.75 kcal/mol. The docking simulation results revealed the reliable binding of rutin to the amino acid residues (ASN260, HIS259, SER282) in the tyrosinase catalytic site. Based on the developed results, rutin extracted from M. oleifera L. leaves has the capability to be powerful anti-pigment agent with a potential application in cosmeceutical area. In vivo studies are required to unravel the safety and efficiency of rutin as antityrosinase compound.
Intraspecific variation in leaf (poly)phenolic content of a southern hemisphere beech (Nothofagus antarctica) growing under different environmental conditions
Authors: Mattera M. Gabriela , Gonzalez-Polo Marina , Peri Pablo L. , Moreno Diego A. 
Published: August 2024

AbstractNothofagus antarctica (G.Forst.) Oerst. (Ñire) leaves are a valuable source of (poly)phenolic compounds and represent a high-value non-timber product from Patagonian forests. However, information on the variability of their chemical profile is limited or non-existent. The aim of this study was to evaluate the (poly)phenolic variability in Ñire leaf infusions. To this end, different tree populations growing under different temperature regimes and soil characteristics were considered. Interestingly, a cup of Ñire leaf infusion could be considered as a rich source of quercetin. Significant differences in the (poly)phenolic content, especially in flavonoid conjugates and cinnamic acids, were found among the populations studied. These results suggest metabolic variability among the forests studied, which could be related to the species response to its growing conditions, and also provide some clues about the performance of N. antarctica under future climate scenarios. The N. antarctica forests growing in environments with lower frequency of cold and heat stress and high soil fertility showed better infusion quality. This study showed how a South American beech interacts with its local environment at the level of secondary metabolism. In addition, the information obtained is useful for defining forest management strategies in the Patagonian region.
Unveiling the potential of machine learning approaches in predicting the emergence of stroke at its onset: a predicting framework
Authors: J M Sheela Lavanya , P Subbulakshmi 
Published: August 2024

AbstractA stroke is a dangerous, life-threatening disease that mostly affects people over 65, but an unhealthy diet is also contributing to the development of strokes at younger ages. Strokes can be treated successfully if they are identified early enough, and suitable therapies are available. The purpose of this study is to develop a stroke prediction model that will improve stroke prediction effectiveness as well as accuracy. Predicting whether someone is suffering from a stroke or not can be accomplished with this proposed machine learning algorithm. In this research, various machine learning techniques are evaluated for predicting stroke on the healthcare stroke dataset. The feature selection algorithms used here are gradient boosting and random forest, and classifiers include the decision tree classifier, Support Vector Machine (SVM) classifier, logistic regression classifier, gradient boosting classifier, random forest classifier, K neighbors classifier, and Xtreme gradient boosting classifier. In this process, different machine-learning approaches are employed to test predictive methods on different data samples. As a result obtained from the different methods applied, and the comparison of different classification models, the random forest model offers an accuracy rate of 98%.
Elemental and isotopic analysis of leaves predicts nitrogen-fixing phenotypes
Authors: Doby Joshua R. , Siniscalchi Carolina M. , Pajuelo Mariela , Krigbaum John , Soltis Douglas E. , Guralnick Robert P. , Folk Ryan A. 
Published: August 2024

AbstractNitrogen (N)-fixing symbiosis is critical to terrestrial ecosystems, yet possession of this trait is known for few plant species. Broader presence of the symbiosis is often indirectly determined by phylogenetic relatedness to taxa investigated via manipulative experiments. This data gap may ultimately underestimate phylogenetic, spatial, and temporal variation in N-fixing symbiosis. Still needed are simpler field or collections-based approaches for inferring symbiotic status. N-fixing plants differ from non-N-fixing plants in elemental and isotopic composition, but previous investigations have not tested predictive accuracy using such proxies. Here we develop a regional field study and demonstrate a simple classification model for fixer status using nitrogen and carbon content measurements, and stable isotope ratios (δ15N and δ13C), from field-collected leaves. We used mixed models and classification approaches to demonstrate that N-fixing phenotypes can be used to predict symbiotic status; the best model required all predictors and was 80–94% accurate. Predictions were robust to environmental context variation, but we identified significant variation due to native vs. non-native (exotic) status and phylogenetic affinity. Surprisingly, N content—not δ15N—was the strongest predictor, suggesting that future efforts combine elemental and isotopic information. These results are valuable for understudied taxa and ecosystems, potentially allowing higher-throughput field-based N-fixer assessments.
Analysis of oceanic suspended particulate matter in the western North Pacific using the complex amplitude sensor
Authors: Yoshida Atsushi , Tobo Yutaka , Adachi Kouji , Moteki Nobuhiro , Kawai Yoshimi , Sasaoka Kosei , Koike Makoto 
Published: August 2024

AbstractOceanic suspended particulate matter (SPM) plays important roles in the coupling of climate and biogeochemical cycles via ocean–atmosphere interactions. However, methods for quantifying the properties of SPM in seawater have not yet been well established. Here we present the application of the recently developed complex amplitude sensor (CAS) for analyzing the complex forward-scattering amplitude of individual SPM (0.2–5.0 µm in diameter) obtained at depths of 0–100 m during a research cruise in the western North Pacific. The measured distribution of the complex amplitude indicated that the CAS-derived SPM data could be roughly classified into five major types. Comparison with reference sample’s complex amplitude data and scanning electron microscopy analysis suggested that these types could be attributed mainly to diatom fragments, carbonaceous materials (likely organic matter), mineral dusts, iron oxides, or black carbon. Depth profiles revealed that relatively high concentrations of SPM, presumably dominated by diatom fragments and carbonaceous materials with peak diameters of 0.7–1.0 µm, were typically associated with elevated turbidities and chlorophyll a concentrations. Based on this case study, we discuss the practical advantages and limitations of using the CAS to measure size-resolved concentrations of SPM in seawater and to characterize its composition.
CT-based radiomics for predicting breast cancer radiotherapy side effects
Authors: Llorián-Salvador Óscar , Windeler Nora , Martin Nicole , Etzel Lucas , Andrade-Navarro Miguel A. , Bernhardt Denise , Rost Burkhard , Borm Kai J. , Combs Stephanie E. , Duma Marciana N. , Peeken Jan C. 
Published: August 2024

AbstractSkin inflammation with the potential sequel of moist epitheliolysis and edema constitute the most frequent breast radiotherapy (RT) acute side effects. The aim of this study was to compare the predictive value of tissue-derived radiomics features to the total breast volume (TBV) for the moist cells epitheliolysis as a surrogate for skin inflammation, and edema. Radiomics features were extracted from computed tomography (CT) scans of 252 breast cancer patients from two volumes of interest: TBV and glandular tissue (GT). Machine learning classifiers were trained on radiomics and clinical features, which were evaluated for both side effects. The best radiomics model was a least absolute shrinkage and selection operator (LASSO) classifier, using TBV features, predicting moist cells epitheliolysis, achieving an area under the receiver operating characteristic (AUROC) of 0.74. This was comparable to TBV breast volume (AUROC of 0.75). Combined models of radiomics and clinical features did not improve performance. Exclusion of volume-correlated features slightly reduced the predictive performance (AUROC 0.71). We could demonstrate the general propensity of planning CT-based radiomics models to predict breast RT-dependent side effects. Mammary tissue was more predictive than glandular tissue. The radiomics features performance was influenced by their high correlation to TBV volume.