bluuebunny/crossref_metadata_2025_split huggingface dataset:
<p><strong><em>Chloris telanganae </em></strong><strong>(Chloridoideae: Poaceae), a new species from Telangana State, India</strong></p>
Authors: NAGARAJU SIDDABATHULA , PRASANNA PARIGI VENKATESWARA , RAO YECHURI VENKATESWARA , PADAL SALUGU BODAYYA 
Published: February 2020

Chloris telanganae (Poaceae), a new species from Telangana, India, is described and illustrated. This new species is similar to C. wightiana but differs many characters which are discussed here. An updated key for Indian Chloris is also provided for easy identification.
Statistical–Dynamical Downscaling Projections of Tropical Cyclone Activity in a Warming Climate: Two Diverging Genesis Scenarios
Authors: Lee Chia-Ying , Camargo Suzana J. , Sobel Adam H. , Tippett Michael K. 
Published: February 2020

AbstractTropical cyclone (TC) activity is examined using the Columbia Hazard model (CHAZ), a statistical–dynamical downscaling system, with environmental conditions taken from simulations from phase 5 of the Coupled Model Intercomparison Project (CMIP5) for both the historical period and a future scenario under the representative concentration pathway 8.5. Projections of individual global and basin TC frequency depend sensitively on the choice of moisture variable used in the tropical genesis cyclone index (TCGI) component of CHAZ. Simulations using column relative humidity show an increasing trend in the future, while those using saturation deficit show a decreasing trend, although both give similar results in the historical period. While the projected annual TC frequency is also sensitive to the choice of model used to provide the environmental conditions, the choice of humidity variable in the TCGI is more important. Changes in TC frequency directly affect the projected TCs’ tracks and the frequencies of strong storms on both basin and regional scales. This leads to large uncertainty in assessing regional and local storm hazards. The uncertainty here is fundamental and epistemic in nature. Increases in the fraction of major TCs, rapid intensification rate, and decreases in forward speed are insensitive to TC frequency, however. The present results are also consistent with prior studies in indicating that those TC events that do occur will, on average, be more destructive in the future because of the robustly projected increases in intensity.
Effects of Lateral Flow on the Convective Environment in a Coupled Hydrometeorological Modeling System in a Semiarid Environment
Authors: Lahmers Timothy M. , Castro Christopher L. , Hazenberg Pieter 
Published: February 2020

AbstractEvidence for surface and atmosphere coupling is corroborated in both modeling and observation-based field experiments. Recent advances in high-performance computing and development of convection-permitting regional-scale atmospheric models combined with high-resolution hydrologic models have made modeling of surface–atmosphere interactions feasible for the scientific community. These hydrological models can account for the impacts of the overland flow and subsurface flow components of the hydrologic cycle and account for the impact of lateral flow on moisture redistribution at the land surface. One such model is the Weather Research and Forecasting (WRF) regional atmospheric model that can be coupled to the WRF-Hydro hydrologic model. In the present study, both the uncoupled WRF (WRF-ARW) and otherwise identical WRF-Hydro model are executed for the 2017 and 2018 summertime North American monsoon (NAM) seasons in semiarid central Arizona. In this environment, diurnal convection is impacted by precipitation recycling from the land surface. The goal of this work is to evaluate the impacts that surface runoff and shallow subsurface flow, as depicted in WRF-Hydro, have on surface–atmosphere interactions and convection in a coupled atmospheric simulation. The current work assesses the impact of surface hydrologic processes on 1) local surface energy budgets during the NAM throughout Arizona and 2) the spectral behavior of diurnally driven NAM convection. Model results suggest that adding surface and subsurface flow from WRF-Hydro increases soil moisture and latent heat near the surface. This increases the amount of instability and moisture available for deep convection in the model simulations and enhances the organization of convection at the peak of the diurnal cycle.
Stokes Drift in Topographic Waves over an Enclosed Basin Shelf
Authors: Ghaffari Peygham , Weber Jan Erik H. , Nøst Ole Anders , Drivdal Magnus 
Published: February 2020

AbstractThe effect of the continental shelf wave on the flow field over the southern shelf of the Caspian Sea (CS) as the largest enclosed basin of the world, is investigated. Considerable currents with subinertial time scales are observed over the continental shelf in the southern CS. For variations in the surface layer with typical periods of 1 day, local episodic wind events appear to be the driving force. For longer time scales, it is suggested that the observed currents are due to passing continental shelf waves. Measurements over the continental shelf and shelf slope, showing periods of 2–6 days, indicate the presence of such waves. Combined with theory and numerical modeling, the amplitude of the continental shelf wave modes at the coast is assessed from current meter observations. It is demonstrated that the mean drift velocity (the Stokes drift) for long continental shelf waves is determined entirely by the shelf geometry. For the actual shelf mode, it is shown that the associated Stokes drift constitute a nonnegligible mean current along the shelf. This current should be taken into account when assessing the transport of biological material and neutral tracers along the southern coast of the CS.
Regional September Sea Ice Forecasting with Complex Networks and Gaussian Processes
Authors: Gregory William , Tsamados Michel , Stroeve Julienne , Sollich Peter 
Published: February 2020

Abstract
Reliable predictions of the Arctic sea ice cover are becoming of paramount importance for Arctic communities and industry stakeholders. In this study pan-Arctic and regional September mean sea ice extents are forecast with lead times of up to 3 months using a complex network statistical approach. This method exploits relationships within climate time series data by constructing regions of spatiotemporal homogeneity (i.e., nodes), and subsequently deriving teleconnection links between them. Here the nodes and links of the networks are generated from monthly mean sea ice concentration fields in June, July, and August; hence, individual networks are constructed for each respective month. Network information is then utilized within a linear Gaussian process regression forecast model, a Bayesian inference technique, in order to generate predictions of sea ice extent. Pan-Arctic forecasts capture a significant amount of the variability in the satellite observations of September sea ice extent, with detrended predictive skills of 0.53, 0.62, and 0.81 at 3-, 2-, and 1-month lead times, respectively. Regional forecasts are also performed for nine Arctic regions. On average, the highest predictive skill is achieved in the Canadian Archipelago, Beaufort, Chukchi, East Siberian, Laptev, and Kara Seas, although the ability to accurately predict many of these regions appears to be changing over time.
End-of-Life Admission to the Emergency Department: Experience of Mexico’s National Cancer Institute of a Developing Country
Authors: Allende-Pérez Silvia , González Pamela , Peña-Nieves Adriana , Herrera-Gómez Ángel , Verástegui Emma 
Published: February 2020

Background: Admission to the emergency department (ED) of patients with advanced or end-of-life (EoL) cancer saturates the services that provide active medical attention to the complications of anticancer therapy, and the lack of specific protocol limits proper handling. Objective: The aim of this study was to describe the characteristics of patients with advanced cancer admitted to the ED at the EoL in a comprehensive cancer center in Mexico. Patients and Methods: We conducted a retrospective analysis of patients admitted to ED of the National Cancer Institute of Mexico City, with 3 or less days before they died, between January 2011 and December 2018. The data collected included clinical and demographic characteristics, reason for admission to the ED, number of admissions to ED in the last month of life, and cancer treatment received. Results: A total of 426 patients were included; 60.8% were female with a median age of 60 years; 71.6% patients were receiving some kind of disease-modifying treatment, although the oncologist had considered they could die within 6 months, and 16 of them were receiving concomitant PC. 8.9% of these patients had been admitted 3 or more times to the ED in the last month. The principal reasons for admission to ED were dyspnea, uncontrolled pain, 12 patients were admitted in active death and 94 died within hours of admission to ED. Conclusions: Palliative care approach in oncological patients admitted to ED is important to avoid unnecesary suffering at the EoL.
Coronary heart disease incidence still decreased between 2006 and 2014 in France, except in young age groups: Results from the French MONICA registries
Authors: Meirhaeghe Aline , Montaye Michèle , Biasch Katia , Huo Yung Kai Samantha , Moitry Marie , Amouyel Philippe , Ferrières Jean , Dallongeville Jean 
Published: February 2020

Background Over the past few decades decreases in coronary heart disease morbidity and mortality rates have been observed throughout the western world. We sought to determine whether the acute coronary event rates had decreased between 2006 and 2014 among French adults, and whether there were sex and age-specific differences. Methods We examined the French MONICA population-based registries monitoring the Lille urban area in northern France, the Bas-Rhin county in north-eastern France and the Haute Garonne county in south-western France. All acute coronary events among men and women aged 35–74 were collected. Results Over the study period, the age-standardised attack rates decreased in both men (annual percentage change −1.5%, P = 0.0006) and women (annual percentage change −2.1%, P = 0.002). Also, the age-standardised incidence rates decreased in both men (annual percentage change −0.9%, P = 0.03) and women (annual percentage change −1.8%, P = 0.002) due to decreases in the 65–74 year age group. In men, age-standardised mortality rates decreased by 3.5% per year ( P = 0.0004), especially in the 55–64 and 65–74 year age groups. In women, these rates decreased by 4.3% per year ( P = 0.0009), particularly in the 35–44 and 65–74 year age groups. We also observed significant decreases in case fatality among both men (annual percentage change −1.7%, P < 0.0001) and women (annual percentage change −1.9%, P = 0.009). Conclusions Downward trends in acute coronary event attack, incidence and mortality rates were observed between 2006 and 2014 in men and women. This effect was age dependent and was primarily due to decreases in the 65–74 year age group. There were no substantial declines in the younger age groups except for mortality in young women. Prevention measures still need to be strengthened, particularly in young adults.
Systematic Reviews and Meta-Analysis in Spine Surgery—How Good Are They in Methodological Quality? A Systematic Review
Authors: Sathish Muthu , Eswar Ramakrishnan 
Published: February 2020

Study Design: Systematic review. Objectives: To assess the methodological quality of systematic reviews and meta-analyses in spine surgery over the past 2 decades. Materials and Methods: We conducted independent and in duplicate systematic review of the published systematic reviews and meta-analyses between 2000 and 2019 from PubMed Central and Cochrane Database pertaining to spine surgery involving surgical intervention. We searched bibliographies to identify additional relevant studies. Methodological quality was evaluated with AMSTAR score and graded with AMSTAR 2 criteria. Results: A total of 96 reviews met the eligibility criteria, with mean AMSTAR score of 7.51 (SD = 1.98). Based on AMSTAR 2 criteria, 13.5% (n = 13) and 18.7% (n = 18) of the studies had high and moderate level of confidence of results, respectively, without any critical flaws. A total of 29.1% (n = 28) of the studies had at least 1 critical flaw and 38.5% (n = 37) of the studies had more than 1 critical flaw, so that their results have low and critically low confidence, respectively. Failure to analyze the conflict of interest of authors of primary studies included in review and lack of list of excluded studies with justification were the most common critical flaw. Regression analysis demonstrated that studies with funding and studies published in recent years were significantly associated with higher methodological quality. Conclusion: Despite improvement in methodological quality of systematic reviews and meta-analyses in spine surgery in current decade, a substantial proportion continue to show critical flaws. With increasing number of review articles in spine surgery, stringent measures must be taken to adhere to methodological quality by following PRISMA and AMSTAR guidelines to attain higher standards of evidence in published literature.
A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions
Authors: Shen Fei , Chen Chao , Xu Jiawen , Yan Ruqiang 
Published: February 2020

AbstractMost gear fault diagnosis (GFD) approaches suffer from inefficiency when facing with multiple varying working conditions at the same time. In this paper, a non-negative matrix factorization (NMF)-theoretic co-clustering strategy is proposed specially to classify more than one task at the same time using the high dimension matrix, aiming to offer a fast multi-tasking solution. The short-time Fourier transform (STFT) is first used to obtain the time-frequency features from the gear vibration signal. Then, the optimal clustering numbers are estimated using the Bayesian information criterion (BIC) theory, which possesses the simultaneous assessment capability, compared with traditional validity indexes. Subsequently, the classical/modified NMF-based co-clustering methods are carried out to obtain the classification results in both row and column tasks. Finally, the parameters involved in BIC and NMF algorithms are determined using the gradient ascent (GA) strategy in order to achieve reliable diagnostic results. The Spectra Quest’s Drivetrain Dynamics Simulator gear data sets were analyzed to verify the effectiveness of the proposed approach.
Long-term expansion, genomic stability and in vivo safety of adult human pancreas organoids
Authors: Georgakopoulos Nikitas , Prior Nicole , Angres Brigitte , Mastrogiovanni Gianmarco , Cagan Alex , Harrison Daisy , Hindley Christopher J. , Arnes-Benito Robert , Liau Siong-Seng , Curd Abbie , Ivory Natasha , Simons Benjamin D. , Martincorena Inigo , Wurst Helmut , Saeb-Parsy Kourosh , Huch Meritxell 
Published: February 2020

AbstractBackgroundPancreatic organoid systems have recently been described for the in vitro culture of pancreatic ductal cells from mouse and human. Mouse pancreatic organoids exhibit unlimited expansion potential, while previously reported human pancreas organoid (hPO) cultures do not expand efficiently long-term in a chemically defined, serum-free medium. We sought to generate a 3D culture system for long-term expansion of human pancreas ductal cells as hPOs to serve as the basis for studies of human pancreas ductal epithelium, exocrine pancreatic diseases and the development of a genomically stable replacement cell therapy for diabetes mellitus.ResultsOur chemically defined, serum-free, human pancreas organoid culture medium supports the generation and expansion of hPOs with high efficiency from both fresh and cryopreserved primary tissue. hPOs can be expanded from a single cell, enabling their genetic manipulation and generation of clonal cultures. hPOs expanded for months in vitro maintain their ductal morphology, biomarker expression and chromosomal integrity. Xenografts of hPOs survive long-term in vivo when transplanted into the pancreas of immunodeficient mice. Notably, mouse orthotopic transplants show no signs of tumorigenicity. Crucially, our medium also supports the establishment and expansion of hPOs in a chemically defined, modifiable and scalable, biomimetic hydrogel.ConclusionshPOs can be expanded long-term, from both fresh and cryopreserved human pancreas tissue in a chemically defined, serum-free medium with no detectable tumorigenicity. hPOs can be clonally expanded, genetically manipulated and are amenable to culture in a chemically defined hydrogel. hPOs therefore represent an abundant source of pancreas ductal cells that retain the characteristics of the tissue-of-origin, which opens up avenues for modelling diseases of the ductal epithelium and increasing understanding of human pancreas exocrine biology as well as for potentially producing insulin-secreting cells for the treatment of diabetes.
A completeness-independent method for pre-selection of closely related genomes for species delineation in prokaryotes
Authors: Zhou Yizhuang , Zheng Jifang , Wu Yepeng , Zhang Wenting , Jin Junfei 
Published: February 2020

Abstract
Background
Whole-genome approaches are widely preferred for species delineation in prokaryotes. However, these methods require pairwise alignments and calculations at the whole-genome level and thus are computationally intensive. To address this problem, a strategy consisting of sieving (pre-selecting closely related genomes) followed by alignment and calculation has been proposed.

Results
Here, we initially test a published approach called “genome-wide tetranucleotide frequency correlation coefficient” (TETRA), which is specially tailored for sieving. Our results show that sieving by TETRA requires > 40% completeness for both genomes of a pair to yield > 95% sensitivity, indicating that TETRA is completeness-dependent. Accordingly, we develop a novel algorithm called “fragment tetranucleotide frequency correlation coefficient” (FRAGTE), which uses fragments rather than whole genomes for sieving. Our results show that FRAGTE achieves ~ 100% sensitivity and high specificity on simulated genomes, real genomes and metagenome-assembled genomes, demonstrating that FRAGTE is completeness-independent. Additionally, FRAGTE sieved a reduced number of total genomes for subsequent alignment and calculation to greatly improve computational efficiency for the process after sieving. Aside from this computational improvement, FRAGTE also reduces the computational cost for the sieving process. Consequently, FRAGTE extremely improves run efficiency for both the processes of sieving and after sieving (subsequent alignment and calculation) to together accelerate genome-wide species delineation.

Conclusions
FRAGTE is a completeness-independent algorithm for sieving. Due to its high sensitivity, high specificity, highly reduced number of sieved genomes and highly improved runtime, FRAGTE will be helpful for whole-genome approaches to facilitate taxonomic studies in prokaryotes.
A risk prediction tool for colorectal cancer screening: a qualitative study of patient and provider facilitators and barriers
Authors: Matthias Marianne S. , Imperiale Thomas F. 
Published: February 2020

Abstract
Background
Despite proven effectiveness of colorectal cancer (CRC) screening, at least 35% of screen-eligible adults are not current with screening. Decision aids and risk prediction tools may help increase uptake, adherence, and efficiency of CRC screening by presenting lower-risk patients with options less invasive than colonoscopy. The purpose of this qualitative study was to determine patient and provider perceptions of facilitators and barriers to use of a risk prediction tool for advanced colorectal neoplasia (CRC and advanced, precancerous polyps), to maximize its chances of successful clinical implementation.

Methods
We conducted qualitative, semi-structured interviews with patients aged 50–75 years who were not current with CRC screening, and primary care providers (PCPs) at an academic and a U.S. Department of Veterans Affairs Medical Center in the Midwest from October 2016 through March 2017. Participants were asked about their current experiences discussing CRC screening, then were shown the risk tool and asked about its acceptability, barriers, facilitators, and whether they would use it to guide their choice of a screening test. The constant comparative method guided analysis.

Results
Thirty patients and PCPs participated. Among facilitators were the tool’s potential to increase screening uptake, reduce patient risk, improve resource allocation, and facilitate discussion about CRC screening. PCP-identified barriers included concerns about the tool’s accuracy, consistency with guidelines, and time constraints.

Conclusions
Patients and PCPs found the risk prediction tool useful, with potential to increase uptake, safety, and efficiency of CRC screening, indicating potential acceptability and feasibility of implementation into clinical practice.
Disease characteristics and outcomes in patients with chronic kidney disease and type 2 diabetes: a matched cohort study of spironolactone users and non-users
Authors: Blankenburg Michael , Kovesdy Csaba P. , Fett Anne-Kathrin , Griner Raymond G. , Gay Alain 
Published: February 2020

Abstract
Background
Limited evidence has indicated that addition of a steroidal mineralocorticoid receptor antagonist (MRA) to the standard of care reduces proteinuria in patients with diabetic kidney disease (DKD); however, there are limited data regarding real-world MRA use in these patients. This study aimed to describe the characteristics of spironolactone users and non-users with DKD, and to explore their clinical outcomes.

Methods
This was a non-interventional, retrospective cohort study using demographic and clinical data from a US claims database (PharMetrics Plus) and the Experian consumer data asset during 2006–2015. Baseline characteristics (e.g. comorbidities) and post-inclusion clinical outcomes were described in matched cohorts of spironolactone users and non-users (n = 5465 per group).

Results
Although matching aligned key demographic and clinical characteristics of the cohorts, a significantly greater proportion of spironolactone users than non-users had oedema, proteinuria, and cardiovascular disease at baseline (P < 0.0001). During the post-inclusion period, disease progression and clinical events of interest such as acute kidney injury were more commonly observed in spironolactone users than non-users. Users also had higher healthcare resource utilization and costs than non-users; however, these differences diminished at later stages of disease.

Conclusions
In this study, spironolactone users had a greater comorbidity burden at baseline than matched non-users, suggesting that the presence of certain comorbidities may be contributing factors in the decision to prescribe spironolactone. High healthcare resource utilization and costs for patients at later stages of disease, irrespective of spironolactone use, highlight the need for new therapies for DKD.