bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical and laboratory features and factors predicting disease severity in pediatric patients with hemorrhagic fever with renal syndrome caused by Hantaan virus
Authors: Li Ruina , Sun Jingkang , Chen Yuting , Fan Xiude , Wang Xiaoyun , Zhang Xiaoge , Zhang Kun , Han Qunying , Liu Zhengwen 
Published: November 2022

AbstractThe clinical features and factors associated with disease severity in children with hemorrhagic fever with renal syndrome (HFRS) have not been well characterized. This study analyzed the clinical and laboratory factors associated with disease severity in children with HFRS caused by Hantaan virus. Data in pediatric patients with HFRS were retrospectively collected from Xi'an Children's Hospital over a 9‐year period. Independent factors associated with disease severity were identified. Nomogram predicting disease severity was constructed based on variables filtered by feature selection. In total, 206 children with HFRS were studied. Fever, digestive tract symptoms, headache, backache, bleeding, and renal injury signs were the common symptoms. Elevated white blood cell, reduced platelet, hematuria, proteinuria, coagulation abnormalities, increased blood urea nitrogen (BUN) and procalcitonin (PCT), decreased estimated glomerular filtration rate and low serum Na+, Cl−, and Ca2+ were the common laboratory findings. In the 206 patients, 21 patients had critical type disease and 4 patients (1.9%) died. Hydrothorax, hypotension and cerebral edema/cerebral herniation at hospital admission were independent clinical characteristics, and neutrophil %, prothrombin activity, PCT, BUN, and Ca2+ at hospital admission were independent laboratory factors associated with critical disease. Feature selection identified BUN, PCT and prothrombin time as independent factors related to critical disease. A nomogram integrating BUN and PCT at admission was constructed and calibration showed high accuracy for the probability prediction of critical disease. In conclusion, this study characterized the clinical and laboratory features and constructed a nomogram predicting disease severity in pediatric HFRS, providing references for disease severity evaluation in managing children HFRS.
CMIP6 projected response of the East Asian winter climate to the sea ice‐free Arctic
Authors: Song Ziyi , Zhou Botao 
Published: November 2022

AbstractThis article evaluated the performance of 19 Coupled Model Intercomparison Project phase 6 (CMIP6) models in simulating the Arctic sea ice from the perspective of annual cycle, spatial pattern and temporal variation. Based on the evaluation, five models with better comprehensive performance capacity were optimized as the ensemble to project the response of the East Asian winter climate to the sea ice‐free Arctic occurring under the SSP2‐4.5 and SSP5‐8.5 scenarios, respectively. The ensemble projections indicate that the sea ice‐free Arctic is followed by a weakening of the East Asian winter monsoon, which is characterized with the shallower East Asian trough and weaker East Asian jet stream. Concurrently, the winter surface net radiation flux is projected to increase in the East Asian‐western North Pacific region. These changes favour large‐scale warming in the East Asian‐western North Pacific region. Moreover, the warming is more pronounced under the sea ice‐free Arctic of SSP2‐4.5 than under that of SSP5‐8.5. The winter precipitation tends to increase along the East Asian coast from South China to the Sea of Okhotsk. Such an increase is closely associated with the enhancement of low‐level moisture. Due to larger enhancement of moisture, there appears greater increase of precipitation in the monsoon region from South China to Japan under the sea ice‐free Arctic of SSP5‐8.5 compare to that under SSP2‐4.5. Substantial changes are also projected for the temperature and precipitation extremes, such as a general increase in warm days and warm nights and an overall intensification of extreme precipitation in the East Asian‐western North Pacific region.
Evaluation of the precipitation of the East Asia regional reanalysis system mainly over mainland China
Authors: Yang Linyun , Liang Xudong , Yin Jinfang , Xie Yanxin , Fan Huiyi 
Published: November 2022

AbstractIn this article, precipitation in a new regional reanalysis dataset, namely, the East Asia regional reanalysis system (EARS‐CMA) with a 12‐km resolution based on the Weather Research and Forecast (WRF) model, ERA‐Interim, ERA5, TRMM 3B42V7, Climate Prediction Center Morphing Technique (CMORPH) and CN05.1, is compared in 2008–2017. The results show that EARS‐CMA can capture the spatial features and temporal variation in precipitation over East Asia well. Focusing on mainland China, CMORPH performs worse in regard to winter precipitation and dryer areas than TRMM against CN05.1. Although ERA5 behaves better with integrated properties compared with ERA‐Interim and EARS‐CMA over East Asia, EARS‐CMA produces more reliable annual, summer and winter mean precipitation pattern than ERA5 over the subregions dominated by large scales in mainland China, including the Tibetan Plateau and northwestern China, similar to its driving fields, ERA‐Interim. In addition, the improvement from ERA‐Interim to EARS‐CMA can be obtained in reasonably reproducing precipitation seasonality in South China, Indo‐China and southern Japan. Thus, the compatibility of EARS is outstanding in maintaining the advantages of its corresponding driving fields, ERA‐Interim, as well as developing finer small scales. Although slightly behind ERA5 in the subregions affected by tropical systems and monsoons, EARS‐CMA is competitive in acting as reference data for daily, seasonal, annual and interannual precipitation estimations over mainland China.
Greenhouse gas emissions from Silphium perfoliatum and silage maize cropping on Stagnosols
Authors: Kemmann Björn , Ruf Thorsten , Well Reinhard , Emmerling Christoph , Fuß Roland 
Published: November 2022

AbstractBackgroundThe sustainability of bioenergy is strongly affected by direct field‐derived greenhouse gas (GHG) emissions and indirect emissions form land‐use change. Marginal land in low mountain ranges is suitable for feedstock production due to small impact on indirect land‐use change. However, these sites are vulnerable to high N2O emissions because of their fine soil texture and hydrology.AimsThe perennial cup plant (Silphium perfoliatum L.) might outperform silage maize (Zea mays L.) on cold, wet low mountain ranges sites regarding yield and ecosystem services. The aim of this study was to assess whether the cultivation of cup plant also provides GHG mitigation potential compared to the cultivation of maize.MethodsA t‐year field experiment was conducted in a low mountain range region in western Germany to compare area and yield‐scaled GHG emissions from cup plant and maize fields. GHG emissions were quantified using the closed chamber method.ResultsCup plant fields emitted an average of 3.6 ± 4.3 kg N2O‐N ha–1 year–1 (–85%) less than maize fields. This corresponded to 74.0 ± 94.1 g CO2‐eq kWh–1 (–78%) less emissions per produced electrical power. However, cup plant had a significantly lower productivity per hectare (–34%) and per unit of applied nitrogen (–32%) than maize.ConclusionCup plant as a feedstock reduces direct field‐derived GHG emissions compared to maize but, due to lower yields cup plant, likely increases emissions associated with land‐use changes. Therefore, the increased sustainability of bioenergy from biogas by replacing maize with cup plant is heavily dependent on the performance of maize at these sites and on the ecosystem services of cup plant in addition to GHG savings.
Potential beverage quality of three wild coffee species (Coffea brevipes, C. congensis and C. stenophylla) and consideration of their agronomic use
Authors: Bertrand Benoît , Davis Aaron P. , Maraval Isabelle , Forestier Nelly , Mieulet Delphine 
Published: November 2022

AbstractBACKGROUNDOf the 130 known coffee (Coffea) species, very few have been properly evaluated for their beverage quality. The diversity of wild coffee species is considered critical to the long‐term sustainability of the coffee sector, particularly under climate change. The challenge is finding coffee crops that satisfy agronomic criteria, now and under the altered climatic conditions of the future, as well as consumer requirements for flavour. We evaluated the sensory characteristics of three wild coffee species with four independent sensory panels, and the key environmental/agronomic requirements of these wild species based on a literature review.RESULTSCoffea congensis and C. stenophylla have a lower unroasted seed weight compared to C. arabica and C. canephora, while C. brevipes has the largest. Sensory analysis showed that the main differences between species was for the fruitiness attribute. Coffea stenophylla was the fruitiest wild species, and was considered an Arabica‐like coffee. The flavour profile range of C. stenophylla covers herb‐like, vegetal, floral and fruit; C. brevipes resembles C. stenophylla in some respects. Opinions concerning C. congensis were contradictory and several judges considered the industry‐standard coffee flavour wheel not suitable for the beverage produced from this species.CONCLUSIONThe three wild species have the required sensory qualities for commercialization. According to published data, C. stenophylla has agronomic potential, especially in warmer climates than Arabica areas. Coffea brevipes and C. congensis have the potential to be easily crossed with C. canephora to form interspecific hybrids capable of adapting to different climatic and agronomic conditions. © 2022 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Self‐Healing Hydrogels by Metal Complexation of 2,6‐Bis(1,2,3‐triazol‐4yl)pyridine Functionalized Tetra‐Arm Star Poly(ethylene glycol)
Authors: Xu Xiaowen , Jerca Valentin Victor , Hoogenboom Richard 
Published: November 2022

AbstractThe fabrication of 2,6‐bis(1,2,3‐triazol‐4yl)pyridine (btp) based metallo‐supramolecular gels has been mainly focusing on organogels. Only recently, the synthesis and metallo‐supramolecular hydrogel formation of linear poly(ethylene glycol) (PEG) with multiple btp units in the main chain are reported. In this manuscript, metallo‐supramolecular hydrogels that are constructed using tetra‐arm star PEG‐modified with btp end‐groups upon complexation with transition metal ions are reported. This btp‐functionalized star‐PEG precursor is more easily accessible and more defined than the previously reported linear system while also yielding stronger hydrogels. The gelation is selectively induced by Ni2+ ions and strongly depended on the metal‐ligand ratio and polymer concentration. The successful formation of organogels can be induced selectively by Ni2+ or Fe2+ ion complexation in acetonitrile, which leads to the strongest complexes. The inability to form hydrogels with Fe2+ ions is ascribed to the partial oxidation of Fe2+ to Fe3+ ions in an aqueous solution. Furthermore, the optimal conditions for achieving self‐healing capabilities are also determined (i.e., 4 wt% polymer concentration and btp:Ni2+ molar ratio of 2:1) using rheology. The high strain resistance and fast self‐healing characteristics make these specific Ni2+ metallo‐supramolecular hydrogels a promising platform for materials design with potential applications in supramolecular chemistry, coordination chemistry, and catalysis.
Characterization of the dystrophin‐associated protein complex by mass spectrometry
Authors: Canessa Emily H. , Spathis Rita , Novak James S. , Beedle Aaron , Nagaraju Kanneboyina , Bello Luca , Pegoraro Elena , Hoffman Eric P. , Hathout Yetrib 
Published: November 2022

AbstractThe dystrophin‐associated protein complex (DAPC) is a highly organized multiprotein complex that plays a pivotal role in muscle fiber structure integrity and cell signaling. The complex is composed of three distinct interacting subgroups, intracellular peripheral proteins, transmembrane glycoproteins, and extracellular glycoproteins subcomplexes. Dystrophin protein nucleates the DAPC and is important for connecting the intracellular actin cytoskeletal filaments to the sarcolemma glycoprotein complex that is connected to the extracellular matrix via laminin, thus stabilizing the sarcolemma during muscle fiber contraction and relaxation. Genetic mutations that lead to lack of expression or altered expression of any of the DAPC proteins are associated with different types of muscle diseases. Hence characterization of this complex in healthy and dystrophic muscle might bring insights into its role in muscle pathogenesis. This review highlights the role of mass spectrometry in characterizing the DAPC interactome as well as post‐translational glycan modifications of some of its components such as α‐dystroglycan. Detection and quantification of dystrophin using targeted mass spectrometry are also discussed in the context of healthy versus dystrophic skeletal muscle.
Do green concerns promote corporate green innovation? Evidence from Chinese stock exchange interactive platforms
Authors: Li Haidong , Qian Ziming , Wang Shanyong , Wang Jing , Wang Qian 
Published: November 2022

AbstractHow to inspire firms to conduct green innovation is still an under‐explored question. This study finds that the green concerns of minority shareholders can significantly promote firms to conduct green innovation. Mechanism tests reveal that green concerns promote firm green innovation by increasing media attention and reducing financing constraints. Further research shows that the positive effect of green concerns of minority shareholders on green innovation is more significant for companies with high competition, more effective internal controls, and high public involvement at the location. Based on the findings, policy implications of promoting corporate green innovation are discussed.
Implications of product line competition on channel matching strategies in a retail platform
Authors: Dai Bin , Wang Minglu , Ke Jiannan 
Published: November 2022

AbstractAs retail platforms proliferate, the presence of agency selling and reselling in burgeoning retail platforms gives suppliers an incentive to match their product lines to sales channels. This study considers a supplier providing a product line of quality‐differentiated products in a retail platform. We aim to examine the equilibrium pricing in two mutually exclusive channel matching strategies: high‐end (low‐end) products are sold in an agency selling channel and low‐end (high‐end) products are sold in a reselling channel (termed channel matching strategies HL [LH]), and further analyze the impact of quality differentiation on the channel matching strategies and equilibrium outcomes. The results show that the impact of quality differentiation on channel matching strategies is jointly moderated by the channel competition, the commission rate, and the product cost difference. If the channel competition is intensive and the commission rate is low, under small (large) product cost difference, quality differentiation motivates the supplier to select strategy HL (LH). Counter‐intuitively, we show that improving the quality of high‐end products in a certain region at free of cost could make the supplier worse off when the product cost difference is sufficiently high. Interestingly, we find that when both the product cost difference and commission rate are small, the channel matching strategies can achieve a win‐win‐win situation for the supplier, the retail platform, and consumers simultaneously under a moderate (low) level of quality differentiation and intensive (weak) channel competition.
T1 relaxation of bound and pore water in cortical bone
Authors: Ketsiri Thammathida , Uppuganti Sasidhar , Harkins Kevin D. , Gochberg Daniel F. , Nyman Jeffry S. , Does Mark D. 
Published: November 2022

AbstractMRI measures of bound and/or pore water concentration in cortical bone offer potential diagnostics of bone fracture risk. The transverse relaxation characteristics of both bound and pore water are relatively well understood and have been used to design clinical MRI pulse sequences to image each water pool quantitatively. However, these methods are also sensitive to longitudinal relaxation characteristics, which have been less well studied. Here, spectroscopic relaxometry measurements of 31 human cortical bone specimens provided a more detailed picture of
of both bound and pore water. The results included mean, standard deviation, and range of
spectra from both bound and pore water, as well as novel presentations of the 2D
distribution of pore water. Importantly, for each sample the pore water
spectrum was found to span more than one order of magnitude and varied substantially across the 31 sample studies. Because many existing methods assume pore water
to be mono‐exponential and constant across individuals, the results were used to compute the potential effect neglecting this intra‐ and intersample
variation on accurate MRI measurement of both bound and pore water concentrations. The greatest effect was found for adiabatic inversion recovery (AIR) based measurements of bound water concentration, which showed an average of 8.8% and as much as 37% error when using a common mono‐exponential assumption of pore water
. Despite these errors, the simulated AIR measurements were still moderately well correlated with the bound water concentrations derived from the spectroscopic data.
Data‐physics driven reduced order homogenization
Authors: Fish Jacob , Yu Yang 
Published: November 2022

AbstractA hybrid data‐physics driven reduced‐order homogenization (dpROH) approach aimed at improving the accuracy of the physics‐based reduced order homogenization (pROH), but retain its unique characteristics, such as interpretability and extrapolation, has been developed. The salient feature of the dpROH is that the data generated by a high‐fidelity model based on the first order computational homogenization (i.e., without model reduction) can improve markedly the accuracy of the physic‐based model reduction. The dpROH consist of the offline and online stages. In the offline stage, an enhanced model reduction strategy based on the Bayesian inference (BI) that employs the gated recurrent unit (GRU) neural network surrogate is conceived. In the online stage, the dpROH (rather than the GRU surrogate employed in the BI process) is utilized for the component level predictions. Numerical examples comparing various variants of the dpROH with the pROH, and the reference solution demonstrate its improved accuracy.
Validation of claims‐based algorithms to identify non‐live birth outcomes
Authors: Zhu Yanmin , Bateman Brian T. , Hernandez‐Diaz Sonia , Gray Kathryn J. , Straub Loreen , Reimers Rebecca M. , Manning‐Geist Beryl , Yoselevsky Elizabeth , Taylor Lockwood G. , Ouellet‐Hellstrom Rita , Ma Yong , Qiang Yandong , Hua Wei , Huybrechts Krista F. 
Published: November 2022

AbstractPurposePerinatal epidemiology studies using healthcare utilization databases are often restricted to live births, largely due to the lack of established algorithms to identify non‐live births. The study objective was to develop and validate claims‐based algorithms for the ascertainment of non‐live births.MethodsUsing the Mass General Brigham Research Patient Data Registry 2000–2014, we assembled a cohort of women enrolled in Medicaid with a non‐live birth. Based on ≥1 inpatient or ≥2 outpatient diagnosis/procedure codes, we identified and randomly sampled 100 potential stillbirth, spontaneous abortion, and termination cases each. For the secondary definitions, we excluded cases with codes for other pregnancy outcomes within ±5 days of the outcome of interest and relaxed the definitions for spontaneous abortion and termination by allowing cases with one outpatient diagnosis only. Cases were adjudicated based on medical chart review. We estimated the positive predictive value (PPV) for each outcome.ResultsThe PPV was 71.0% (95% CI, 61.1–79.6) for stillbirth; 79.0% (69.7–86.5) for spontaneous abortion, and 93.0% (86.1–97.1) for termination. When excluding cases with adjacent codes for other pregnancy outcomes and further relaxing the definition, the PPV increased to 80.6% (69.5–88.9) for stillbirth, 86.6% (80.5–91.3) for spontaneous abortion and 94.9% (91.1–97.4) for termination. The PPV for the composite outcome using the relaxed definition was 94.4% (92.3–96.1).ConclusionsOur findings suggest non‐live birth outcomes can be identified in a valid manner in epidemiological studies based on healthcare utilization databases.
High‐aspect‐ratio oxide etching using CF4/C6F12O plasma in an inductively coupled plasma etching system with low‐frequency bias power
Authors: Kim Jinhyuk , Choi Gilyoung , Kwon Kwang‐Ho 
Published: November 2022

AbstractHigh‐aspect‐ratio (HAR) etch of SiO2 films was attempted using a low‐frequency (2 MHz) bias power in an inductively coupled plasma (ICP) system using heptafluoroisopropyl pentafluoroethyl ketone (C6F12O) gas, which has a lower global warming potential (GWP). Etching characteristics of the oxide film according to changes such as the CF4/C6F12O mixing ratio, source power (13.56 MHz), and bias power were derived. To understand the etching characteristics and mechanism, optical emission spectroscopy (OES), double Langmuir probe (DLP) measurement, and X‐ray photoelectron spectroscopy (XPS) analysis were performed. We observed the vertically etched profile of the 100 nm etched line pattern with a scanning electron microscope (SEM) and at first suggested that the HAR oxide etching process is feasible using the ICP system.
Phase III randomized clinical trial of BV‐4051, an Ayurvedic polyherbal formulation in moderate SARS‐CoV‐2 infections and its impact on inflammatory biomarkers
Authors: Chitre Deepa , Nadkarni Satej , Jagtap Namdev , Tulle Rahul , Gitte Amol , Rahate Prashant , Chaskar Sunetra , Dey Debendranath 
Published: November 2022

AbstractSARS‐CoV‐2 virus and its variants continue to be a challenge inspite of widespread vaccination and preventive measures. We hypothesized an oral, safe polyherbal formulation with antiinflammatory properties may improve the clinical outcome of this disease. BV‐4051, a formulation from four Ayurvedic plants namely Ashwagandha, Boswellia, Ginger and Turmeric was used for the treatment of hospitalized moderate COVID‐19 patients along with standard of care (SOC). Patients were randomly assigned to receive BV‐4051 or placebo tablets for 14 days, at four sites in India during late 2020 to early 2021. Among 208 randomized subjects, 175 completed the study. In BV‐4051 group the mean reduction in duration of illness (p = 0.036), alleviation and severity scores of several symptoms like fever, cough, smell, and taste disorders were statistically significant (p ≤ 0.05). A sub‐set analysis of subjects treated with or without Remdesivir as SOC showed mean reduction in duration of illness in BV‐4051 (p = 0.030), and severity scores (p ≤ 0.05). Mean difference in Interleukin‐6 was statistically significant (p = 0.042) on BV‐4051 without Remdesivir. BV‐4051 may reduce duration of illness, symptoms severity, Interleukin‐6, and prevent the incidence of COVID‐19 complications. It may have an adjunctive effect with other SOC. Larger extensive clinical testing may give a better understanding of its effect.