bluuebunny/crossref_metadata_2025_split huggingface dataset:
Projecting Flood Frequency Curves Under Near‐Term Climate Change
Authors: Awasthi C. , Archfield S. A. , Ryberg K. R. , Kiang J. E. , Sankarasubramanian A. 
Published: August 2022

AbstractFlood‐frequency curves, critical for water infrastructure design, are typically developed based on a stationary climate assumption. However, climate changes are expected to violate this assumption. Here, we propose a new, climate‐informed methodology for estimating flood‐frequency curves under non‐stationary future climate conditions. The methodology develops an asynchronous, semiparametric local‐likelihood regression (ASLLR) model that relates moments of annual maximum flood to climate variables using the generalized linear model. We estimate the first two marginal moments (MM) – the mean and variance – of the underlying log‐Pearson Type‐3 distribution from the ASLLR with the monthly rainfall and temperature as predictors. The proposed methodology, ASLLR‐MM, is applied to 40 U.S. Geological Survey streamgages covering 18 water resources regions across the conterminous United States. A correction based on the aridity index was applied on the estimated variance, after which the ASLLR‐MM approach was evaluated with both historical (1951–2005) and projected (2006–2035, under RCP4.5 and RCP8.5) monthly precipitation and temperature from eight Global Circulation Models (GCMs) consisting of 39 ensemble members. The estimated flood‐frequency quantiles resulting from the ASLLR‐MM and GCM members compare well with the flood‐frequency quantiles estimated using the historical period of observed climate and flood information for humid basins, whereas the uncertainty in model estimates is higher in arid basins. Considering additional atmospheric and land‐surface conditions and a multi‐level model structure that includes other basins in a region could further improve the model performance in arid basins.
Earth and Planetary Surface Processes Perspectives on Integrated, Coordinated, Open, Networked (ICON) Science
Authors: Burberry C. M. , Flatley A. , Gray A. , Guilinger J. , Hamshaw S. , Hill K. , Mu Y. , Rowland J. C. 
Published: August 2022

AbstractThis article provides a commentary about the state of integrated, coordinated, open, and networked (ICON) principles in Earth and Planetary Surface Processes and discussion on the opportunities and challenges of adopting them. This commentary focuses on the challenges with current inclusive, equitable, and accessible science and highlights how research undertaken in the earth and planetary surface processes community currently benefit from and would be able to grow as a discipline with more directed implementation of ICON principles.
Quantifying the Statistical Relationships Between Flank Eruptions and Major Earthquakes at Mt. Etna Volcano (Italy)
Authors: Bevilacqua Andrea , Azzaro Raffaele , Branca Stefano , D’Amico Salvatore , Flandoli Franco , Neri Augusto 
Published: August 2022

AbstractAt Mt. Etna volcano, flank eruptions are often accompanied by seismic swarms with damaging earthquakes; the most recent case‐history is the 2018 flank eruption, associated with a destructive earthquake (Mw 5.0). In this paper, we analyze the earthquake and eruptive catalogs from 1800 to 2018, to produce quantitative estimates of the earthquake rate under the influence of flank eruptions. We quantify that 30% of the flank eruption onsets precede a major (i.e., damaging, Ix ≥ V–VI EMS) earthquake by 30 days or less; 18% of the major earthquakes follow a flank eruption onset in 30 days or less. Thus, we show that the probability of major earthquakes increases 5–10 times after the onset of flank eruptions and this effect lasts for 30–45 days. This is also observed after the end of the eruptions. Results indicate different relationships depending on the location of the volcano‐tectonic systems considered individually (eruptive fissures, seismogenic faults). For instance, we describe a 10–20 times increased probability of earthquakes for 65–70 days after eruptions on the northeastern flank, and of new flank eruptions for 45–70 days after earthquakes of the Pernicana fault.
Prodigious Amounts of Hydrogen Oxides Generated by Corona Discharges on Tree Leaves
Authors: Jenkins J. M. , Olson G. A. , McFarland P. J. , Miller D. O. , Brune W. H. 
Published: August 2022

AbstractProdigious amounts of the hydroxyl radical (OH) are generated in the laboratory on tree leaves by corona discharges, which also occur on trees during thunderstorms. Production rates of OH and HO2 depend on the applied electric field generating the corona discharge, leaf dryness, and the presence of liquid water on the leaf. However, they are independent of leaf type and corona discharge polarity for a given corona ultraviolet (UV) flux. Production rates of OH, HO2, and O3 strongly correlate with corona UV flux. Although the contribution of corona‐produced OH to total global OH production is unlikely to be important, corona‐generated OH is likely a few orders of magnitude greater than oxidation by known processes in the vicinity of the affected leaves, potentially influencing atmospheric oxidation and tree and forest ecology.
Sedimentary Black Carbon Isotope Record of Holocene Climate Changes on the Northeastern Tibetan Plateau
Authors: Ning Dongliang , Jiang Qingfeng , Ji Ming , Zheng Jianan , Kuai Xiang , Ge Ying , Xu Yuchen , Cheng Longjuan , Zhao Wenwei 
Published: August 2022

AbstractThe northeastern Tibetan Plateau (TP) is an unique area for studying the interactions between the Asian Monsoonal climate and the westerlies. However, significant contraries on Holocene paleoclimate evolution are still exist. To better understand the climate history on the northeastern TP particularly its variability, we here investigated the stable carbon isotope compositions of Black Carbon (BC) (δ13CBC) in Lake Gyaring sediment core from the source area of the Yellow River. The δ13CBC values were relatively positive before ∼6.2 cal kyr BP indicating that the climate on northeastern TP was warm and dry during the first half of the Holocene, while the decreasing trend thereafter reflects that the climate on the northeastern TP has become generally cooler and wetter since the middle Holocene. Superimposed on the long‐term paleoclimate evolution pattern, at least seven centennial‐scale cold‐wet events characterized by significant δ13CBC depletions occurred at about 8.4, 7.5, 6.2, 5.0, 4.3, 2.7, and 0.9 cal kyr BP. Those abrupt climate events well corresponded to the weak Asian Monsoon episodes and the ice‐rafted debris records in the North Atlantic. We speculate that the cold climate signals from the North Atlantic resulted from the sea‐ice expansion have been transported to the northeastern TP through the westerlies leading to a cold conditions there. Besides, the anomalous easterly water vapor transportation over the northern periphery of the TP during weak monsoon intervals has generated the wet conditions on the northeastern TP.
Maternal depressive symptoms, neonatal white matter, and toddler social-emotional development
Authors: Lautarescu Alexandra , Bonthrone Alexandra F. , Pietsch Maximilian , Batalle Dafnis , Cordero-Grande Lucilio , Tournier J-Donald , Christiaens Daan , Hajnal Joseph V. , Chew Andrew , Falconer Shona , Nosarti Chiara , Victor Suresh , Craig Michael C. , Edwards A. David , Counsell Serena J. 
Published: August 2022

AbstractMaternal prenatal depression is associated with increased likelihood of neurodevelopmental and psychiatric conditions in offspring. The relationship between maternal depression and offspring outcome may be mediated by in-utero changes in brain development. Recent advances in magnetic resonance imaging (MRI) have enabled in vivo investigations of neonatal brains, minimising the effect of postnatal influences. The aim of this study was to examine associations between maternal prenatal depressive symptoms, infant white matter, and toddler behaviour. 413 mother-infant dyads enrolled in the developing Human Connectome Project. Mothers completed the Edinburgh Postnatal Depression Scale (median = 5, range = 0–28, n = 52 scores ≥ 11). Infants (n = 223 male) (median gestational age at birth = 40 weeks, range 32.14–42.29) underwent MRI (median postmenstrual age at scan = 41.29 weeks, range 36.57–44.71). Fixel-based fibre metrics (mean fibre density, fibre cross-section, and fibre density modulated by cross-section) were calculated from diffusion imaging data in the left and right uncinate fasciculi and cingulum bundle. For n = 311, internalising and externalising behaviour, and social-emotional abilities were reported at a median corrected age of 18 months (range 17–24). Statistical analysis used multiple linear regression and mediation analysis with bootstrapping. Maternal depressive symptoms were positively associated with infant fibre density in the left (B = 0.0005, p = 0.003, q = 0.027) and right (B = 0.0006, p = 0.003, q = 0.027) uncinate fasciculus, with left uncinate fasciculus fibre density, in turn, positively associated with social-emotional abilities in toddlerhood (B = 105.70, p = 0.0007, q = 0.004). In a mediation analysis, higher maternal depressive symptoms predicted toddler social-emotional difficulties (B = 0.342, t(307) = 3.003, p = 0.003), but this relationship was not mediated by fibre density in the left uncinate fasciculus (Sobel test p = 0.143, bootstrapped indirect effect = 0.035, SE = 0.02, 95% CI: [−0.01, 0.08]). There was no evidence of an association between maternal depressive and cingulum fibre properties. These findings suggest that maternal perinatal depressive symptoms are associated with neonatal uncinate fasciculi microstructure, but not fibre bundle size, and toddler behaviour.
Raptor downregulation rescues neuronal phenotypes in mouse models of Tuberous Sclerosis Complex
Authors: Karalis Vasiliki , Caval-Holme Franklin , Bateup Helen S. 
Published: August 2022

AbstractTuberous Sclerosis Complex (TSC) is a neurodevelopmental disorder caused by mutations in the TSC1 or TSC2 genes, which encode proteins that negatively regulate mTOR complex 1 (mTORC1) signaling. Current treatment strategies focus on mTOR inhibition with rapamycin and its derivatives. While effective at improving some aspects of TSC, chronic rapamycin inhibits both mTORC1 and mTORC2 and is associated with systemic side-effects. It is currently unknown which mTOR complex is most relevant for TSC-related brain phenotypes. Here we used genetic strategies to selectively reduce neuronal mTORC1 or mTORC2 activity in mouse models of TSC. We find that reduction of the mTORC1 component Raptor, but not the mTORC2 component Rictor, rebalanced mTOR signaling in Tsc1 knock-out neurons. Raptor reduction was sufficient to improve several TSC-related phenotypes including neuronal hypertrophy, macrocephaly, impaired myelination, network hyperactivity, and premature mortality. Raptor downregulation represents a promising potential therapeutic intervention for the neurological manifestations of TSC.
Synthesis of bioactive (1→6)-β-glucose branched poly-amido-saccharides that stimulate and induce M1 polarization in macrophages
Authors: Xiao Ruiqing , Zeng Jialiu , Bressler Eric M. , Lu Wei , Grinstaff Mark W. 
Published: August 2022

Abstractβ-Glucans are of significant interest due to their potent antitumor and immunomodulatory activities. Nevertheless, the difficulty in purification, structural heterogenicity, and limited solubility impede the development of structure-property relationships and translation to therapeutic applications. Here, we report the synthesis of a new class of (1→6)-β-glucose-branched poly-amido-saccharides (PASs) as β-glucan mimetics by ring-opening polymerization of a gentiobiose-based disaccharide β-lactam and its copolymerization with a glucose-based β-lactam, followed by post-polymerization deprotection. The molecular weight (Mn) and frequency of branching (FB) of PASs is readily tuned by adjusting monomer-to-initiator ratio and mole fraction of gentiobiose-lactam in copolymerization. Branched PASs stimulate mouse macrophages, and enhance production of pro-inflammatory cytokines in a FB-, dose-, and Mn-dependent manner. The stimulation proceeds via the activation of NF-κB/AP-1 pathway in a Dectin-1-dependent manner, similar to natural β-glucans. The lead PAS significantly polarizes primary human macrophages towards M1 phenotype compared to other β-glucans such as lentinan, laminarin, and curdlan.
Nested order-disorder framework containing a crystalline matrix with self-filled amorphous-like innards
Authors: Bu Kejun , Hu Qingyang , Qi Xiaohuan , Wang Dong , Guo Songhao , Luo Hui , Lin Tianquan , Guo Xiaofeng , Zeng Qiaoshi , Ding Yang , Huang Fuqiang , Yang Wenge , Mao Ho-Kwang , Lü Xujie 
Published: August 2022

AbstractSolids can be generally categorized by their structures into crystalline and amorphous states with different interactions among atoms dictating their properties. Crystalline-amorphous hybrid structures, combining the advantages of both ordered and disordered components, present a promising opportunity to design materials with emergent collective properties. Hybridization of crystalline and amorphous structures at the sublattice level with long-range periodicity has been rarely observed. Here, we report a nested order-disorder framework (NOF) constructed by a crystalline matrix with self-filled amorphous-like innards that is obtained by using pressure to regulate the bonding hierarchy of Cu12Sb4S13. Combined in situ experimental and computational methods demonstrate the formation of disordered Cu sublattice which is embedded in the retained crystalline Cu framework. Such a NOF structure gives a low thermal conductivity (~0.24 W·m−1·K−1) and a metallic electrical conductivity (8 × 10−6 Ω·m), realizing the collaborative improvement of two competing physical properties. These findings demonstrate a category of solid-state materials to link the crystalline and amorphous forms in the sublattice-scale, which will exhibit extraordinary properties.
Enhanced immune response outperform aggressive cancer biology and is associated with better survival in triple-negative breast cancer
Authors: Oshi Masanori , Patel Ankit , Wu Rongrong , Le Lan , Tokumaru Yoshihisa , Yamada Akimitsu , Yan Li , Matsuyama Ryusei , Ishikawa Takashi , Endo Itaru , Takabe Kazuaki 
Published: August 2022

AbstractAlthough the value of tumor-infiltrating lymphocytes is well known, the clinical relevance of an increased immune response, specifically in breast cancer, has not been investigated across large cohorts of patients using computational algorithms. Our hypothesis stated that an enhanced immune response is associated with an improvement in outcomes. To quantify the immune response, we utilized the allograft rejection score correlated with cytolytic activity and with all the other Hallmark immune-related gene sets. The score reflected the amount of infiltrating immune cells that correlated with the immune checkpoint molecule expressions, including CD4+ and CD8+ T cells, T helper type 1 (Th1) and type 2 (Th2) cells, M1 macrophages, B cells, and plasmacytoid dendritic cells (pDC). A high score was associated with high levels of intratumor heterogeneity, homologous recombination defects, mutation rate, histological grade, advanced stage, and lymph node metastasis. Breast malignancy with a high score enriched immune-related gene sets and pro-cancer-related gene sets, including epithelial–mesenchymal transition and KRAS pathway, in ER-positive/HER2-negative and triple-negative breast cancer (TNBC) groups. TNBC had the highest score compared to other subtypes, and was associated with better survival. In conclusion, we found that breast cancer with a high immune response is associated with aggressive cancer biology, but with better survival in TNBC.
Broadband mechanoresponsive liquid metal sensors
Authors: Rahman Md Saifur , Huddy Julia E. , Hamlin Andrew B. , Scheideler William J. 
Published: August 2022

AbstractStretchable electronics have the fundamental advantage of matching the complex geometries of the human body, providing opportunities for real-time biomechanical sensing. We report a method for high-frequency AC-enhanced resistive sensing that leverages deformable liquid metals to improve low-power detection of mechanical stimuli in wearable electronics. The fundamental mechanism of this enhancement is geometrical modulation of the skin effect, which induces current crowding at the surface of a liquid metal trace. In combination with DC sensing, this method quantitatively pinpoints mechanical modes of deformation such as stretching in-plane and compression out-of-plane that are traditionally impossible to distinguish. Here we explore this method by finite element simulations then employ it in a glove to detect hand gestures and tactile forces as well as a respiratory sensor to measure breathing. Moreover, this AC sensor uses lower power (100X) than DC sensors, enabling a new generation of energy-efficient wearables for haptics and biomedical sensing.
Path toward manufacturable superconducting qubits with relaxation times exceeding 0.1 ms
Authors: Verjauw J. , Acharya R. , Van Damme J. , Ivanov Ts. , Lozano D. Perez , Mohiyaddin F. A. , Wan D. , Jussot J. , Vadiraj A. M. , Mongillo M. , Heyns M. , Radu I. , Govoreanu B. , Potočnik A. 
Published: August 2022

AbstractAs the superconducting qubit platform matures towards ever-larger scales in the race towards a practical quantum computer, limitations due to qubit inhomogeneity through lack of process control become apparent. To benefit from the advanced process control in industry-scale CMOS fabrication facilities, different processing methods will be required. In particular, the double-angle evaporation and lift-off techniques used for current, state-of-the-art superconducting qubits are generally incompatible with modern-day manufacturable processes. Here, we demonstrate a fully CMOS compatible qubit fabrication method, and show results from overlap Josephson junction devices with long coherence and relaxation times, on par with the state-of-the-art. We experimentally verify that Argon milling—the critical step during junction fabrication—and a subtractive-etch process nevertheless result in qubits with average qubit energy relaxation times T1 reaching 70 µs, with maximum values exceeding 100 µs. Furthermore, we show that our results are still limited by surface losses and not, crucially, by junction losses. The presented fabrication process, therefore, heralds an important milestone towards a manufacturable 300 mm CMOS process for high-coherence superconducting qubits and has the potential to advance the scaling of superconducting device architectures.
Estimating and forecasting the burden and spread of Colombia’s SARS-CoV2 first wave
Authors: Cascante-Vega Jaime , Cordovez Juan Manuel , Santos-Vega Mauricio 
Published: August 2022

AbstractFollowing the rapid dissemination of COVID-19 cases in Colombia in 2020, large-scale non-pharmaceutical interventions (NPIs) were implemented as national emergencies in most of the country’s municipalities, starting with a lockdown on March 20th, 2020. Recently, approaches that combine movement data (measured as the number of commuters between units), metapopulation models to describe disease dynamics subdividing the population into Susceptible-Exposed-Asymptomatic-Infected-Recovered-Diseased and statistical inference algorithms have been pointed as a practical approach to both nowcast and forecast the number of cases and deaths. We used an iterated filtering (IF) framework to estimate the model transmission parameters using the reported data across 281 municipalities from March to late October in locations with more than 50 reported deaths and cases in Colombia. Since the model is high dimensional (6 state variables in every municipality), inference on those parameters is highly non-trivial, so we used an Ensemble-Adjustment-Kalman-Filter (EAKF) to estimate time variable system states and parameters. Our results show the model’s ability to capture the characteristics of the outbreak in the country and provide estimates of the epidemiological parameters in time at the national level. Importantly, these estimates could become the base for planning future interventions as well as evaluating the impact of NPIs on the effective reproduction number ($$\mathscr {R}_{eff}$$

R

eff

) and the critical epidemiological parameters, such as the contact rate or the reporting rate. However, our forecast presents some inconsistency as it overestimates the deaths for some locations as Medellín. Nevertheless, our approach demonstrates that real-time, publicly available ensemble forecasts can provide short-term predictions of reported COVID-19 deaths in Colombia. Therefore, this model can be used as a forecasting tool to evaluate disease dynamics and aid policymakers in infectious outbreak management and control.
Real-world evidence of the intrinsic limitations of PCR-based EGFR mutation assay in non-small cell lung cancer
Authors: Shen Chia-I , Chiang Chi-Lu , Shiao Tsu-Hui , Luo Yung-Hung , Chao Heng-Sheng , Huang Hsu-Ching , Chiu Chao-Hua 
Published: August 2022

AbstractDetection of driver gene mutations is important in advanced NSCLC. The cobas EGFR mutation test is a mutant allele-specific real-time PCR assay with limitation owing to its primer design. Next-generation sequencing-based assay has a higher mutation detection coverage; however, its clinical impact remains unclear. We retrospectively collected the records of stage IV NSCLC patients with wild-type EGFR tested by cobas test. FoundationOne CDx was used for comprehensive genomic profiles. We then evaluated the missed EGFR mutations by the cobas test. We studied 62 patients. The median age was 60 (range: 35–86 years). Most patients were male and 58.1% were smokers. 91.9% were adenocarcinomas. Of the 62 samples, 7 (11.3%) were detected with EGFR mutations by NGS. Among these overlooked EGFR mutations, five were exon 20 insertions, and two were exon 19 deletions. Two patients received EGFR TKIs and showed durable response with PFS 5.9 months and 10.1 months, respectively. Using NGS as the standard, the false-negative rate of the cobas EGFR mutation test was 11.3%—in a population with a high prevalence of EGFR mutations. The most overlooked mutations were exon 20 insertions. A comprehensive EGFR mutation assay can provide significant benefits to patients with NSCLC.