bluuebunny/crossref_metadata_2025_split huggingface dataset:
“Islam” in Sanskrit doxography: a reconsideration via the writings of Madhusūdana Sarasvatī
Authors: NAIR SHANKAR 
Published: January 2021

AbstractIn the ongoing debate regarding the construction of the modern concept of “Hinduism”, recent research has considered the ways in which the pre-colonial encounter with Islam may have served as a catalyst in the crystallisation of an increasingly self-aware “Hindu” identity. Andrew Nicholson (Unifying Hinduism, 2010), in particular, has examined the genre of Sanskrit doxography to affirm that such a process of crystallisation was indeed taking place, as the transformations in this genre over time indicate a nascent Hindu identity emerging in the face of the “Muslim threat”. This article reevaluates Nicholson's account with reference to the writings of one Sanskrit intellectual operating at the height of Muslim power in South Asia: the figure of Madhusūdana Sarasvatī (fl. sixteenth-early seventeenth centuries). Madhusūdana's short doxography, the Prasthānabheda, often features in arguments for the pre-colonial roots of the concept of “Hinduism”; Madhusūdana's other doxographical writings, however, are typically neglected. Based upon an analysis of Madhusūdana's Siddhāntabindu and Vedāntakalpalatikā, this article suggests that a more nuanced consideration of the different audiences and authorial intentions that different doxographers had in mind can offer a modified picture of how early modern Sanskrit intellectuals were responding to the Muslim presence in the subcontinent.
Folic acid supplementation and risk for congenital hydrocephalus in China
Authors: Liu Jufen , Li Zhiwen , Ye Rongwei , Ren Aiguo , Liu Jianmeng 
Published: January 2021

AbstractObjective:We examined whether folic acid (FA) supplementation prevented congenital hydrocephalus (CH) in more than 200 000 births in China.Design:A large population-based cohort study.Setting:All births at 20 complete gestational weeks, including live births, stillbirths and pregnancy terminations, and all structural birth defects regardless of gestational week were recorded. The prevalence of births with CH was classified by maternal characteristics and FA supplementation. CH was diagnosed in accordance with code 742.3 of the International Classification of Diseases, Ninth Revision, Clinical Modification, while non-neural tube defect (NTD) CH refers to CH without anencephaly (740), spina bifida (741) or encephalocele (742·0).Participants:A total of 247 831 pregnant women who delivered with known outcomes were included.Results:A total of 206 cases of CH (0·83 per 1000 births) and 170 cases of non-NTD CH (0·69 per 1000 births) were recorded in the study. The prevalence of CH and non-NTD CH was higher in women in the no supplementation group than those in the FA supplementation group (0·92 and 0·72 v. 0·75 and 0·65 per 1000 births, respectively). FA supplementation during the periconceptional period significantly prevented CH (OR = 0·29, 95 % CI 0·12, 0·69) and non-NTD CH (OR = 0·34, 95 % CI 0·12, 0·97) in northern China, especially in a high-compliance group (≥ 80 %).Conclusions:Periconceptional FA supplementation did not significantly prevent CH overall in the current study. However, in the north of China with common maternal folate insufficiency, there was some evidence.
An application of PCA-DEA with the double-bootstrap approach to estimate the technical efficiency of New Zealand District Health Boards
Authors: Andrews Antony 
Published: January 2021

AbstractUsing yearly panel data from 2011 to 2017 on New Zealand District Health Boards (DHBs), this study combines principal component analysis and data envelopment intertemporal analysis with the double-bootstrap approach to estimate the technical efficiency of health care providers along with the trend of efficiency performances. The results show that although most large DHBs have improved their level of technical efficiency between 2011 and 2017, the majority of medium- and small-sized DHBs have not seen any noticeable improvement in their level of technical efficiency. The results also show that large and tertiary DHBs operate at a high level of technical efficiency. In contrast, most of the medium- and small-sized DHBs posted some of the lowest technical efficiency scores. Furthermore, the results show that medium- and small-sized DHBs have a higher average length of hospital stays which is found to be associated with decreasing levels of technical efficiency scores.
Precipitation‐Driven Pedogenic Weathering of Volcaniclastics on Early Mars
Authors: Ye B. , Michalski J. R. 
Published: January 2021

AbstractCompositional stratigraphy, generally composed of Al‐rich clay minerals overlying Fe/Mg‐rich clay minerals, is observed in many locations on Mars. Here we describe the occurrence of such mineralogical stratigraphy in settings where the protoliths are almost certainly pyroclastic materials. One such example includes altered rocks high on the summit and flanks of explosive volcanoes in Thaumasia Planum. These clay‐bearing deposits are most consistent with precipitation‐driven weathering of ash deposits. Considering explosive volcanism was pervasive in the Noachian, the early sedimentary record of Mars in some locations is likely dominated by glassy, fragmented, porous, chemically reactive materials with highly specific surface area. These pyroclastic deposits were potentially a critical geological component linking clay minerals to elements of Mars’ climate, weathering, and sedimentary puzzle.
Time‐Series Prediction Approaches to Forecasting Deformation in Sentinel‐1 InSAR Data
Authors: Hill P. , Biggs J. , Ponce‐López V. , Bull D. 
Published: January 2021

AbstractTime series of displacement are now routinely available from satellite InSAR and are used for flagging anomalous ground motion, but not yet forecasting. We test conventional time series forecasting methods such as SARIMA and supervised machine learning approaches such as long short‐term memory (LSTM) compared to simple function extrapolation. We focus initially on forecasting seasonal signals and begin by characterizing the time‐series using sinusoid fitting, seasonal decomposition, and autocorrelation functions. We find that the three measures are broadly comparable but identify different types of seasonal characteristic. We use this to select a set of 310 points with highly seasonal characteristics and test the three chosen forecasting methods over prediction windows of 1–9 months. The lowest overall median RMSE values are obtained for SARIMA when considering short term predictions (<1 month), whereas sinusoid extrapolation produces the lowest median RMSE values for longer predictions (>6 months). Machine learning methods (LSTM) perform less well. We then test the prediction methods on 2,000 randomly selected points with a range of seasonalities and find that simple extrapolation of a constant function performed better overall than any of the more sophisticated time series prediction methods. Comparisons between seasonality and RMSE show a small improvement in performance with increasing seasonality. This proof‐of‐concept study demonstrates the potential of time‐series prediction for InSAR data but also highlights the limitations of applying these techniques to nonperiodic signals or individual measurement points. We anticipate future developments, especially to shorter timescales, will have a broad range of potential applications, from infrastructure stability to volcanic eruptions.
High‐Resolution Simulations of Submesoscale Processes in the Baltic Sea: The Role of Storm Events
Authors: Chrysagi Evridiki , Umlauf Lars , Holtermann Peter , Klingbeil Knut , Burchard Hans 
Published: January 2021

AbstractRecently discovered, ocean submesoscales have attracted considerable attention due to their ability to change the upper ocean stratification, affect vertical transport, and induce a downscale cascade of energy toward dissipation. In this paper, we highlight the effect of submesoscale fronts and filaments on surface layer properties and dynamics during storm events, extending previous idealized simulations toward real‐ocean applications. Here, we use the Baltic Sea as a natural laboratory to study the rich submesoscale activity of this system with the help of realistic high‐resolution numerical simulations. These simulations reveal a wealth of cold submesoscale filaments with sharp lateral buoyancy gradients, strong surface convergence, and high vertical velocities. Highly heterogeneous Mixed Layer Depth (MLD) modulations are associated with these features, maintaining locally reduced MLDs even during storm events due to vigorous submesoscale restratification. The interaction of near‐surface turbulence and submesoscale restratification results in strong and highly efficient mixing inside the submesoscale fronts. Focusing on a typical filament, it is shown that frontogenesis is associated with the convergent cross‐front circulation arising from a turbulent thermal wind balance, consistent with previous studies. We show that the sharp fronts generated by this process may become symmetrically unstable, and show enhanced (modeled) energy dissipation rates that are in good quantitative agreement with existing theoretical estimates.
Lagrangian Reconstruction to Extract Small‐Scale Salinity Variability From SMAP Observations
Authors: Barceló‐Llull Bàrbara , Drushka Kyla , Gaube Peter 
Published: January 2021

AbstractAs the resolution of observations and models improves, emerging evidence indicates that ocean variability on 1–200‐km scales is of fundamental importance to ocean circulation, air‐sea interaction, and biogeochemistry. In many regions, salinity variability dominates over thermal effects in forming density fronts. Unfortunately, current satellite observations of sea surface salinity (SSS) only resolve scales ≥40 km (or larger, depending on the product). In this study, we investigate small‐scale variability (≲25 km) by reconstructing gridded SSS observations made by the Soil Moisture Active Passive (SMAP) satellite in the northwest Atlantic Ocean. Using altimetric geostrophic currents, we numerically advect SMAP SSS fields to produce a Lagrangian reconstruction that represents small scales. Reconstructed fields are compared to in‐situ salinity observations made by a ship‐board thermosalinograph, revealing a marked improvement in small‐scale salinity variability when compared to the original SMAP fields, particularly from the continental shelf to the Gulf Stream. In the Sargasso Sea, however, both SMAP and the reconstructed fields contain higher variability than is observed in situ. Enhanced small‐scale salinity variability is concentrated in two bands: a northern band aligned with the continental shelfbreak and a southern band aligned with the Gulf Stream mean position. Seasonal differences in the small‐scale variability appear to covary with the seasonal cycle of the large‐scale SSS gradients resulting from the freshening of the coastal waters during periods of elevated river outflow.
Evolution of a Subducted Carbon‐Rich Filament on the Edge of the North Atlantic Gyre
Authors: Johnson Alexis R. , Omand Melissa M. 
Published: January 2021

AbstractThe oceanic biological carbon pump encompasses a variety of mechanisms by which CO2, fixed into organic form by phytoplankton, is transported from the sunlit surface layers to the interior ocean. Here, we investigate submesoscale and mixed layer subduction, estimated to represent ∼20% of global particulate organic carbon (POC) export. Seven Biogeochemical (BGC) Argo profiling floats were analyzed for evidence of subduction of POC in the North Atlantic Ocean, revealing a pattern in the seasonality. Although vertical processes that give rise to subduction are enhanced during late winter and spring, the bio‐optical evidence for intrusions—namely a deep local maxima in POC, co‐located with a temperature and salinity anomaly—were more commonly observed in the summer. We hypothesize that these deep intrusions can be long‐lived, having been subducted months earlier and persisting at depth throughout the warm season. We present a case study of a notable anomaly, observed in 10 consecutive BGC Argo profiles on the northeastern edge of the subtropical gyre. Analysis of the profiles, complemented by remote sensing and HYCOM model output, provides insight into the history and subsequent fate of the subducted water.
Microclimates in Fumarole Ice Caves on Volcanic Edifices—Mount Rainier, Washington, USA
Authors: Florea Lee J. , Pflitsch Andreas , Cartaya Eduardo , Stenner Christian 
Published: January 2021

AbstractThe fumarole ice caves of Mount Rainier in the Cascade Volcanic Arc in Washington, USA, provide unique insight into the dynamic equilibrium between thermal flux of fumaroles on volcanic edifices and snow accumulation on summit glaciers. More than 3.5 km of surveyed cave passage nearly circumnavigate the East Crater, reaching within 19 m of the 4,392 m summit and extending to 144 m depth along the glacier‐crater boundary. The large circum‐crater passage connects entrances on the crater rim to steep transverse passages, and cave morphology is maintained by fumarole gas convection and advection. A melt‐ and condensate‐formed lake, Lake Adélie, occupies a portion of the circum‐crater passage. Hourly data were collected between August 2016 and August 2017 and included the measured temperatures at three fumaroles, the cave air temperature and pressure, the lake water temperature and depth, and the outside temperature and snow depth at Paradise Visitors Center. Time‐series analyses of these data reveal complex associations between synoptic to seasonal weather, fumarole activity, and lake level. On seasonal and longer scales, fumarole temperatures follow independent pathways connected to spatial and temporal changes in volcanic heat flux and the circulation of glacial melt. Major snowfall seals the cave entrances, increasing cave air temperature and pressure from fumarole output and causing rising lake levels from increased melt until entrances reopen. Repeating freeze‐thaw cycles observed in the cave monitoring data are a primary cause of crater mass wasting. Despite these transient variations, the scale and morphology of the caves is preserved over decadal or longer scales.
Androgen receptor gain in circulating free DNA and splicing variant 7 in exosomes predict clinical outcome in CRPC patients treated with abiraterone and enzalutamide
Authors: Del Re M. , Conteduca V. , Crucitta S. , Gurioli G. , Casadei C. , Restante G. , Schepisi G. , Lolli C. , Cucchiara F. , Danesi R. , De Giorgi U. 
Published: January 2021

Abstract
Background
Androgen receptor (AR) signaling inhibitors represent the standard treatment in metastatic castration resistance prostate cancer (mCRPC) patients. However, some patients display a primary resistance, and several studies investigated the role of the AR as a predictive biomarker of response to treatment. This study is aimed to evaluate the role of AR in liquid biopsy to predict clinical outcome to AR signaling inhibitors in mCRPC patients.

Methods
Six milliliters of plasma samples were collected before first-line treatment with abiraterone or enzalutamide. Circulating free DNA (cfDNA) and exosome-RNA were isolated for analysis of AR gain and AR splice variant 7 (AR-V7), respectively, by digital droplet PCR.

Results
Eighty-four mCRPC patients received abiraterone (n = 40) or enzalutamide (n = 44) as first-line therapy. Twelve patients (14.3%) presented AR gain and 30 (35.7%) AR-V7+ at baseline. Median progression-free survival (PFS) and overall survival (OS) were significantly longer in AR-V7− vs AR-V7+ patients (24.3 vs 5.4 months, p < 0.0001; not reached vs 16.2 months, p = 0.0001, respectively). Patients carrying the AR gain had a median PFS of 4.8 vs 24.3 months for AR normal patients (p < 0.0001). Median OS was significantly longer in AR normal vs patients with AR gain (not reached vs 8.17 months, p < 0.0001). A significant correlation between AR-V7 and AR gain was observed (r = 0.28; p = 0.01). The AR gain/AR-V7 combined analysis confirmed a strong predictive effect for biomarkers combination vs patients without any AR aberration (PFS 3.8 vs 28 month, respectively; OS 6.1 vs not reached, respectively; p < 0.0001).

Conclusions
The present study demonstrates that cfDNA and exosome-RNA are both a reliable source of AR variants and their combined detection in liquid biopsy predicts resistance to AR signaling inhibitors.
Serum d-serine levels are altered in early phases of Alzheimer’s disease: towards a precocious biomarker
Authors: Piubelli Luciano , Pollegioni Loredano , Rabattoni Valentina , Mauri Marco , Princiotta Cariddi Lucia , Versino Maurizio , Sacchi Silvia 
Published: January 2021

Abstractd-Serine acts as a co-agonist of N-methyl-d-aspartate receptors (NMDAR) which appear overactivated in AD, while d-aspartate is a modulatory molecule acting on NMDAR as a second agonist. The aim of this work is to clarify whether the levels of these d-amino acids in serum are deregulated in AD, with the final goal to identify novel and precocious biomarkers in AD. Serum levels of l- and d-enantiomers of serine and aspartate were determined by HPLC using a pre-column derivatization procedure and a selective enzymatic degradation. Experimental data obtained from age-matched healthy subjects (HS) and AD patients were statistically evaluated by considering age, gender, and disease progression, and compared. Minor changes were apparent in the serum l- and d-aspartate levels in AD patients compared to HS. A positive correlation for the d-serine level and age was apparent in the AD cohort. Notably, the serum d-serine level and the d-/total serine ratio significantly increased with the progression of the disease. Gender seems to have a minor effect on the levels of all analytes tested. This work proposes that the serum d-serine level and d-/total serine ratio values as novel and valuable biomarkers for the progression of AD: the latter parameter allows to discriminate CDR 2 and CDR 1 patients from healthy (CDR 0) individuals.
Mild behavioral impairment and its relation to tau pathology in preclinical Alzheimer’s disease
Authors: Johansson Maurits , Stomrud Erik , Insel Philip S. , Leuzy Antoine , Johansson Per Mårten , Smith Ruben , Ismail Zahinoor , Janelidze Shorena , Palmqvist Sebastian , van Westen Danielle , Mattsson-Carlgren Niklas , Hansson Oskar 
Published: January 2021

AbstractMild behavioral impairment (MBI) is suggested as risk marker for neurodegenerative diseases, such as Alzheimer’s disease (AD). Recently, pathologic tau deposition in the brain has been shown closely related to clinical manifestations, such as cognitive deficits. Yet, associations between tau pathology and MBI have rarely been investigated. It is further debated if MBI precedes cognitive deficits in AD. Here, we explored potential mechanisms by which MBI is related to AD, this by studying associations between MBI and tau in preclinical AD. In all, 50 amyloid-β-positive cognitively unimpaired subjects (part of the BioFINDER-2 study) underwent MBI-checklist (MBI-C) to assess MBI, and the Alzheimer’s Disease Assessment Scale – Cognitive subscale (ADAS-Cog) delayed word recall (ADAS-DR) to assess episodic memory. Early tau pathology was determined using tau-PET ([18F]RO948 retention in entorhinal cortex/hippocampus) and cerebrospinal fluid (CSF) P-tau181. Regression models were used to test for associations. We found that higher tau-PET signal in the entorhinal cortex/hippocampus and CSF P-tau181 levels were associated with higher MBI-C scores (β = 0.010, SE = 0.003, p = 0.003 and β = 1.263, SE = 0.446, p = 0.007, respectively). When MBI-C and ADAS-DR were entered together in the regression models, tau-PET (β = 0.009, p = 0.009) and CSF P-tau181 (β = 0.408, p = 0.006) were predicted by MBI-C, but not ADAS-DR. We conclude that in preclinical AD, MBI is associated with tau independently from memory deficits. This denotes MBI as an important early clinical manifestation related to tau pathology in AD.
Metabolic regulation of telomere silencing by SESAME complex-catalyzed H3T11 phosphorylation
Authors: Zhang Shihao , Yu Xilan , Zhang Yuan , Xue Xiangyan , Yu Qi , Zha Zitong , Gogol Madelaine , Workman Jerry L. , Li Shanshan 
Published: January 2021

AbstractTelomeres are organized into a heterochromatin structure and maintenance of silent heterochromatin is required for chromosome stability. How telomere heterochromatin is dynamically regulated in response to stimuli remains unknown. Pyruvate kinase Pyk1 forms a complex named SESAME (Serine-responsive SAM-containing Metabolic Enzyme complex) to regulate gene expression by phosphorylating histone H3T11 (H3pT11). Here, we identify a function of SESAME in regulating telomere heterochromatin structure. SESAME phosphorylates H3T11 at telomeres, which maintains SIR (silent information regulator) complex occupancy at telomeres and protects Sir2 from degradation by autophagy. Moreover, SESAME-catalyzed H3pT11 directly represses autophagy-related gene expression to further prevent autophagy-mediated Sir2 degradation. By promoting H3pT11, serine increases Sir2 protein levels and enhances telomere silencing. Loss of H3pT11 leads to reduced Sir2 and compromised telomere silencing during chronological aging. Together, our study provides insights into dynamic regulation of silent heterochromatin by histone modifications and autophagy in response to cell metabolism and aging.
Topological features without a lattice in Rashba spin-orbit coupled atoms
Authors: Valdés-Curiel A. , Trypogeorgos D. , Liang Q.-Y. , Anderson R. P. , Spielman I. B. 
Published: January 2021

AbstractTopological order can be found in a wide range of physical systems, from crystalline solids, photonic meta-materials and even atmospheric waves to optomechanic, acoustic and atomic systems. Topological systems are a robust foundation for creating quantized channels for transporting electrical current, light, and atmospheric disturbances. These topological effects are quantified in terms of integer-valued ‘invariants’, such as the Chern number, applicable to the quantum Hall effect, or the $${{\mathbb{Z}}}_{2}$$

Z

2

invariant suitable for topological insulators. Here, we report the engineering of Rashba spin-orbit coupling for a cold atomic gas giving non-trivial topology, without the underlying crystalline structure that conventionally yields integer Chern numbers. We validated our procedure by spectroscopically measuring both branches of the Rashba dispersion relation which touch at a single Dirac point. We then measured the quantum geometry underlying the dispersion relation using matter-wave interferometry to implement a form of quantum state tomography, giving a Berry’s phase with magnitude π. This implies that opening a gap at the Dirac point would give two dispersions (bands) each with half-integer Chern number, potentially implying new forms of topological transport.