bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental investigation of desorption kinetics of methane in diesel and internal olefin for enhanced well control
Authors: Ojedeji Damilola , Perry Scott , Nielsen James , Chen Yuanhang 
Published: March 2020

AbstractEarly kick detection and well control decision‐making are more challenging when drilling with nonaqueous drilling fluids, largely due to the poor understanding of mass transfer kinetics of formation gas in and out of nonaqueous drilling fluids during these events. In this study, a laboratory‐scale experimental apparatus was developed and used to experimentally investigate the desorption kinetics of methane in diesel and internal olefin, which are among the most commonly used base fluids for oil‐based muds and synthetic‐based muds, respectively.Continuous measurements of discharge flow rates and totalized discharge volumes yield extent of desorption over time during each test. A model with a lumped mass transfer coefficient was adopted for describing the desorption process in this study. Experimental methodologies with and without blanket gas were compared and the one without blanket gas was adopted due to its enhanced accuracy and repeatability. Time‐marching analysis was conducted to evaluate the instantaneous desorption coefficient during the entire bubble desorption process, while the maximum instantaneous desorption coefficient was used to characterize each desorption process. The effects of initial saturation pressure and base oil type on the resulting desorption coefficients were studied. According to the experimental results, the maximum instantaneous desorption coefficient is larger in diesel compared to the ones in internal olefins with the same initial saturation pressures. In addition, the maximum instantaneous desorption coefficient increases with initial saturation pressure for both fluids within the range of pressures that were considered in this study. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.
Expert consensus for managing pregnant women and neonates born to mothers with suspected or confirmed novel coronavirus (COVID‐19) infection
Authors: Chen Dunjin , Yang Huixia , Cao Yun , Cheng Weiwei , Duan Tao , Fan Cuifang , Fan Shangrong , Feng Ling , Gao Yuanmei , He Fang , He Jing , Hu Yali , Jiang Yi , Li Yimin , Li Jiafu , Li Xiaotian , Li Xuelan , Lin Kangguang , Liu Caixia , Liu Juntao , Liu Xinghui , Pan Xingfei , Pang Qiumei , Pu Meihua , Qi Hongbo , Shi Chunyan , Sun Yu , Sun Jingxia , Wang Xietong , Wang Yichun , Wang Zilian , Wang Zhijian , Wang Chen , Wu Suqiu , Xin Hong , Yan Jianying , Zhao Yangyu , Zheng Jun , Zhou Yihua , Zou Li , Zeng Yingchun , Zhang Yuanzhen , Guan Xiaoming 
Published: March 2020

AbstractObjectiveTo provide clinical management guidelines for novel coronavirus (COVID‐19) in pregnancy.MethodsOn February 5, 2020, a multidisciplinary teleconference comprising Chinese physicians and researchers was held and medical management strategies of COVID‐19 infection in pregnancy were discussed.ResultsTen key recommendations were provided for the management of COVID‐19 infections in pregnancy.ConclusionCurrently, there is no clear evidence regarding optimal delivery timing, the safety of vaginal delivery, or whether cesarean delivery prevents vertical transmission at the time of delivery; therefore, route of delivery and delivery timing should be individualized based on obstetrical indications and maternal–fetal status.
Investigation of the effects of laminin present in the basal lamina of the peripheral nervous system on axon regeneration and remyelination using the nerve acellular scaffold
Authors: Ji Wanqing , Hou Bo , Tang Hengxin , Cai Meiqin , Zheng Wenhan 
Published: March 2020

AbstractThis study aimed to investigate the effects of laminin (LN) located in the basal lamina, which are important components of the peripheral nervous system‐extracellular matrix, on axon regeneration and remyelination. Nerve acellular scaffolds (NASs) (S‐untreated) were prepared using the acellular technique. The active component LN in the NASs was blocked (S‐LN−) or upregulated (S‐LN+); S‐LN+ contained seven times more LN than did the S‐untreated group. The adhesion capacity of Schwann cells (SCs) to the three types of NAS (S‐untreated, S‐LN−, and S‐LN+) was assessed in vitro. Our results showed that the adhesion of SCs to the NASs was significantly reduced in the S‐LN− group, whereas no difference was observed between the S‐LN+ and S‐untreated groups. The pretreated NASs were used to repair nerves in a nerve injury mouse model with the animals divided into four groups (S‐LN− group, S‐untreated group, S‐LN+ group, and autograft group). Two weeks after surgery, although there was no difference in the S‐LN− group, S‐untreated group and S‐LN+ group, the newly formed basal lamina in the S‐LN− group were significantly lower than those in the other two groups. Four weeks after surgery, the S‐LN+ group had higher numbers of newly generated axons and their calibers, more myelinated fibers, thicker myelin sheaths, increased myelin basic protein expression, and improved recovery of neural function compared to those of the S‐LN− and S‐untreated groups, but all of these parameters were significantly worse than those of the autograft group. Downregulation of the LN level in the NAS leads to a reduction in all of the above parameters.
Resveratrol for protection against statin toxicity in C2C12 and H9c2 cells
Authors: Attalah nee Rezkallah Chama , Thongkum Angkana , Zhu Chao , Chen Qin M. 
Published: March 2020

AbstractStatins are among the most commonly prescribed drugs for the treatment of high blood cholesterol. Myotoxicity of statins in certain individuals is often a severe side effect leading to withdrawal. Using C2C12 and H9c2 cells, both exhibiting characteristics of skeletal muscle cells, we addressed whether resveratrol (RSV) can prevent statin toxicity. Statins decreased cell viability in a dose and time‐dependent manner. Among the five statins tested, atorvastatin, simvastatin, lovastatin, pravastatin, and fluvastatin, simvastatin is the most toxic one. Simvastatin at 10 µM caused about 65% loss of metabolic activity as measured by 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide assays in C2C12 cells or H9c2 cells. Inhibition of metabolic activity correlates with an increase in caspase activity. RSV was found to protect H9c2 cells from simvastatin‐induced activation of caspase‐3/7. However, such protection was not found in C2C12 cells. This cell type‐dependent effect of RSV adds to the complexity in muscle cell toxicity of statins.
Inhibitors of Organic Anion‐Transporting Polypeptides 1B1 and 1B3: Clinical Relevance and Regulatory Perspective
Authors: McFeely Savannah J. , Ritchie Tasha K. , Yu Jingjing , Nordmark Anna , Berglund Eva Gil , Levy Rene H. , Ragueneau‐Majlessi Isabelle 
Published: March 2020

AbstractOrganic anion‐transporting polypeptides (OATPs) 1B1 and 1B3 are the primary hepatic transporters responsible for uptake of drugs into the liver and, as such, an area of growing research focus. Currently, evaluation of these transporters as potential mediators of drug‐drug interactions (DDIs) is recommended by regulatory agencies worldwide during the drug development process. Despite the growing focus on OATP1B1/1B3 as mediators of DDIs, only 2 drugs are recommended as index inhibitors for use in clinical studies, single‐dose rifampin and cyclosporine, each with limitations for the utility of the resulting data. In this study a thorough analysis of the available in vitro and clinical data was conducted to identify drugs that are clinically relevant inhibitors of OATP1B1/1B3 and, from those, to select any novel index inhibitors. A total of 13 drugs and 16 combination products were identified as clinical inhibitors of OATP1B1/1B3, showing significant changes in exposure for sensitive substrates of the transporters, with strong supporting in vitro evidence. Although none of the identified inhibitors qualified as index inhibitors, this study confirmed the utility of cyclosporine and single‐dose rifampin as index inhibitors to evaluate the effect of broad, multiple‐pathway inhibition and more selective OATP1B1/1B3 inhibition, respectively.
A synoptic climatology of potential seiche‐inducing winds in a large intermontane lake: Quesnel Lake, British Columbia, Canada
Authors: Thompson Hadleigh D. , Déry Stephen J. , Jackson Peter L. , Laval Bernard E. 
Published: March 2020

AbstractExcitation of basin‐scale, internal waves (i.e., internal seiches) in lakes require spatially homogeneous wind fields that vary on time scales comparable to the seiche period, which can be on the order of several days in large lakes. We evaluate 2 years (October 1, 2016 to September 30, 2018) of 15‐min wind data from a shore‐based meteorological station to identify strong wind episodes likely to excite internal seiches in a large and geometrically complex lake surrounded by convoluted topography, Quesnel Lake, British Columbia, Canada. Our findings include the identification of strong wind event seasonality, with peak mean monthly wind speeds in April and November, and minimum mean monthly wind speeds in August. Using geopotential heights (GPHs) from 1.5° × 1.5° gridded reanalysis data to reconstruct the atmospheric state for each strong wind episode, two primary synoptic patterns are identified that, in conjunction with local topographic channelling, lead to either easterlies or westerlies occurring at our sampling station, with strong easterly episodes three times more frequent than westerly episodes. This highlights the important role that developing low‐pressure systems in the Northeastern Pacific Basin have in setting up the GPH gradient required for persistent strong winds at Quesnel Lake, in the hours and days before these storms make landfall. The projection of synoptic patterns of strong wind events onto a 4 × 3 self‐organizing map clustered strong wind events by mean wind direction, similar to the results of a manual classification. Methods to identify the strong wind episodes and the resulting self‐organizing map are both evaluated in‐part by two case studies where strong winds are known to have excited a basin‐scale baroclinic response in Quesnel Lake.
Self‐Assembly of Supramolecular DNA Amphiphiles through Host–Guest Interaction and Their Stimuli‐Responsiveness
Authors: Yuan Wei , Ma Jiahui , Zhao Zhiyong , Liu Simin 
Published: March 2020

AbstractSmart DNA nanostructures have found potential application in material science and biomedicine. Most building blocks are DNA amphiphiles covalently synthesized from DNA and hydrophobic molecules. Here, the noncovalent approach based on the host–guest interaction between cucurbit[7]uril (CB[7]) and two hydrophobic guests with different topologies is utilized to modularly construct supramolecular DNA amphiphiles including DNA‐CB[7]/ferrocene derivative and DNA‐CB[7]/adamantine derivative. Both of the supramolecular DNA amphiphiles assemble into uniform spherical micelles, which can encapsulate hydrophobic Nile Red molecules and anchor gold nanoparticles through DNA hybridization. In addition, 1‐adamantanamine hydrochloride, a competitive guest with a strong binding constant with CB[7], induces the dissociation of DNA‐CB[7]/ferrocene derivative micelles. More importantly, the redox properties of ferrocene induce reversible morphology changes between the spherical micelles and the dissociated state. These stimuli‐responsive DNA supra‐amphiphilic micelles, as novel vehicles, expand the family of smart DNA nanostructures.
The impact of generic aromatase inhibitors on initiation, adherence, and persistence among women with breast cancer: Applying multi‐state models to understand the dynamics of adherence
Authors: Winn Aaron N. , Fergestrom Nicole M. , Pezzin Liliana E. , Laud Purushottam W. , Neuner Joan M. 
Published: March 2020

AbstractPurposeClinical trials have clearly documented the survival benefit of aromatase inhibitors (AIs); however, many women fail to initiate (primary nonadherence) or remain adherent to AIs (secondary nonadherence). Prior studies have found that costs impact secondary nonadherence to medications but have failed to examine primary nonadherence. The purpose of this study is to examine primary and secondary adherence following the reduction in copays due to the introduction of generic AIs.MethodsUsing Surveillance, Epidemiology, and End Results‐Medicare data, we identified 50 054 women diagnosed with incident breast cancer between 2008 and 2013. We compare women whose copays would change and those whose would not, due to the receipt of cost‐sharing subsidies before and after generics were introduced using a difference‐in‐difference (DinD) analysis. To examine primary and secondary nonadherence, we rely on a multistate model with four states (Not yet initiated, User, Not Using, and Death). We adjusted for baseline factors using inverse probability treatment weights and then simulated adherence for 36 months following diagnosis.ResultsThe generic introduction of AIs resulted in patients initiating AIs faster (DinD = −4.7%, 95%CI = −7.0, −2.3; patients not yet initiating treatment at 6‐months), being more adherent (DinD ranging in absolute increase of 8.1%‐10.4%) and being less likely to not be using the therapy (DinD range in absolute decrease of 1.2% at 6 months to 8.8% at 24 months) for women that do not receive a subsidy after generics were available.ConclusionsIntroduction of generic alternatives to AIs significantly reduced primary and secondary nonadherence.
Registration of six upland cotton germplasm lines with improved fiber quality through ethyl methane sulfonate treatments and selection
Authors: Bechere Efrem , Auld Dick L. , Smith C. Wayne , Cantrell Roy G. , Hequet Eric F. , Ritchie Glen L. , Pabuayon Irish L. B. , Mishra Deepika , Hendon Bralie R. , Brown Nino , Kelly Branden R. 
Published: March 2020

AbstractSix mutant lines of cotton (Gossypium hirsutum L.) with superior fiber quality were developed by the Department of Plant and Soil Science at Texas Tech University at Lubbock, TX, and released in 2019. Additional evaluations were conducted at Texas A&M University, College Station, TX, and at the USDA‐ARS, Crop Genetics Research Unit, Stoneville, MS. Three of the lines, TTU 1‐817 (Reg. no. GP‐1076, PI 691517), TTU 1‐1051 (Reg. no. GP‐1077, PI 691518), and TTU 1‐1283 (Reg. no. GP‐1078, PI 691519), were selected from a mutant population of ‘Acala 1517‐99’. Another three lines, TTU 2‐411 (Reg. no. GP‐1079, PI 691520), TTU 2‐475 (Reg. no. GP‐1080, PI 691521), and TTU 2‐1073 (Reg. no. GP‐1081, PI 691522), were selected from a mutant population derived from TAM 94L‐25. Imbibed seeds of Acala 1517‐99 and TAM 94L‐25 were treated with 3.0% v/v of ethyl methane sulfonate (EMS). In 2002 (M2), 2003 (M3), and 2004 (M4), generations of the mutant populations were advanced by harvesting a single boll from each plant and bulking the seeds to generate the next generation. In 2005, seed cotton samples were hand harvested from a total of 3,122 individual M2:5 plants and evaluated for fiber quality. In 2012, 2013, 2014, and 2015, 33 of these M5 lines selected from the TAM 94‐L25 mutant population and 30 M5 lines from the Acala 1517‐99 mutant population were evaluated. Six M5 lines were selected and released for their longer, stronger fibers and lower micronaire.
Optimal high‐density lipoprotein cholesterol level for decreasing benign prostatic hyperplasia in men not taking statin medication: A historical cohort study
Authors: Yoo Sangjun , Oh Sohee , Suh Jungyo , Park Juhyun , Cho Min Chul , Jeong Hyeon , Won Sungho , Son Hwancheol 
Published: March 2020

AbstractBackgroundWe evaluated the optimal high‐density lipoprotein cholesterol level for benign prostatic hyperplasia (BPH) prevention in men not taking statin medication using a large historical cohort.MethodsWe initially selected 130 454 men who underwent health checkups in 2009 from the National Health Information Database of the National Health Insurance Service. After excluding 36 854 men with BPH in 2009, and 45 061 men for statin use, 48 539 men were ultimately included in the analysis. A Kaplan‐Meier analysis and multivariable Cox regression analysis was performed to assess the optimal high‐density lipoprotein cholesterol level for preventing BPH.ResultsHigh‐density lipoprotein cholesterol levels were less than 40 mg/dL in 7431 (15.3%) men, 40 to 49 in 15 861 (32.7%), 50 to 59 in 15 328 (27.5%), and greater than or equal to 60 in 11 919 (24.6%). The overall cumulative incidence of BPH was 4.4%, 8.7%, 13.0%, and 17.8% at the 1‐, 2‐, 3‐, and 4‐year follow‐up periods, respectively. In multivariable analysis, high‐density lipoprotein greater than or equal to 60 mg/dL were significantly associated with a decreased incidence of BPH, as were age, residence, income, body mass index, diabetes, hypertension, triglyceride, and increased annual clinic visits, especially in men in their 40s.ConclusionElevated serum high‐density lipoprotein cholesterol levels were negatively associated with BPH incidence. In addition, maintaining high‐density lipoprotein greater than or equal to 60 mg/dL was associated with a decreased BPH incidence compared with high‐density lipoprotein less than 40 mg/dL, especially in men in their 40s.
Field‐scale digital soil mapping of clay: Combining different proximal sensed data and comparing various statistical models
Authors: Arshad Maryem , Li Nan , Bella Lawrence Di. , Triantafilis John 
Published: March 2020

AbstractKnowledge about clay fraction is important for soil management. Laboratory analysis is time consuming, however, because information is required at the topsoil (0‒0.3 m), subsurface (0.3‒0.6 m), and subsoil (0.9‒1.2 m). Herein, we developed digital soil mapping (DSM) of clay by coupling limited laboratory data with proximal sensed data (i.e., elevation, γ‐ray, and electromagnetic). Our first aim was to determine whether individual or combined data were better for modeling using various models (i.e., regression kriging [RK], linear mixed model [LMM], and a Bayesian model named integrated nested Laplace approximation [INLA] with stochastic partial differential equation [SPDE]). We also evaluated DSM of clay and associated errors at different depths using various indices (e.g., Lin's concordance). Digital soil mapping performance was compared by mean square prediction error (MSPE). Considering proximal data, the Akaike information criteria and Log‐likelihood showed that RK and LMM performed best by combining proximal data, whereas for INLA‐SPDE individual and combined data performed equally well. Considering prediction uncertainty, RK error was larger where predicted clay was larger, whereas LMM and INLA‐SPDE had larger errors associated with texture or field boundaries. With increasing depth, model performance decreased, as exemplified by LMM and for topsoil (Lin's = 0.79), subsurface (0.72), and subsoil (0.71). The MSPE showed that the DSM map for topsoil clay was best for LMM (28), followed by INLA‐SPDE (29) and RK (39). The LMM DSM was also best in the subsurface (37) and subsoil (84); however, RK was superior to INLA‐SPDE.
Wearable Textile‐Based Co−Zn Alkaline Microbattery with High Energy Density and Excellent Reliability
Authors: Wang Yao , Hong Xufeng , Guo Yaqing , Zhao Yunlong , Liao Xiaobin , Liu Xiong , Li Qi , He Liang , Mai Liqiang 
Published: March 2020

AbstractWearable in‐plane Zn‐based microbatteries are considered as promising micropower sources for wearable electronics due to their high capacity, low cost, high safety, and easy integration. However, their applications are severely impeded by inadequate energy density arising from unsatisfactory capacity of cathode and poor cycling stability caused by degradation of electrode materials and Zn dendrite. Additionally, the short‐circuit induced safety issue caused by Zn dendrite is still a roadblock for Zn‐based microbatteries. Herein, a textile‐based Co−Zn microbattery with ultrahigh energy density and excellent cycling stability is demonstrated. Benefiting from the fast electron transport of three‐dimensional (3D) porous Ni‐coated textile and synergistic effect from the hierarchical Co(OH)2@NiCo layered double hydroxide (LDH) core−shell electrode, the fabricated Co−Zn microbattery with high flexibility delivers superior energy/power densities of 0.17 mWh cm−2/14.4 mW cm−2, outperforming most reported micro energy storage devices. Besides, the trench‐type configuration as well as the 3D porous Zn@carbon clothes can avoid the short‐circuit‐induced safety issues, resulting in excellent cycling stability (71% after 800 cycles). The unique core−shell structure and novel configuration provide a brand‐new design strategy for high‐performance wearable in‐plane microdevices.
Genome‐wide association study of multiple yield traits in a diversity panel of polyploid sugarcane (Saccharum spp.)
Authors: Yang Xiping , Luo Ziliang , Todd James , Sood Sushma , Wang Jianping 
Published: March 2020

AbstractSugarcane (Saccharum spp.) is an important economic crop, contributing up to 80% of sugar and approximately 60% of biofuel globally. To meet the increased demand for sugar and biofuel supplies, it is critical to breed sugarcane cultivars with robust performance in yield traits. Therefore, dissection of causal DNA sequence variants is of great importance, as it provides genetic resources and fundamental information for crop improvement. In this study, we analyzed nine yield traits in a sugarcane diversity panel consisting of 308 accessions primarily selected from the World Collection of Sugarcane and Related Grasses. By genotyping the diversity panel via target enrichment sequencing, we identified a large number of sequence variants. Genome‐wide association studies between the markers and traits were conducted, taking dosages and gene actions into consideration. In total, 217 nonredundant markers and 225 candidate genes were identified to be significantly associated with the yield traits, which can serve as a comprehensive genetic resource database for future gene identification, characterization, and selection for sugarcane improvement. We further investigated runs of homozygosity (ROH) in the sugarcane diversity panel. We characterized 282 ROHs and found that the occurrence of ROHs in the genome were nonrandom and probably under selection. The ROHs were associated with total weight and dry weight, and high ROHs resulted in a decrease in the two traits. This study suggests that genomic inbreeding has led to negative impacts on sugarcane yield.
Constraints on the parameter space in an inert doublet model with two active doublets
Authors: Merchand Marco , Sher Marc 
Published: March 2020

Abstract
We study a three Higgs doublet model where one doublet is inert and the other two doublets are active. Flavor changing neutral currents are avoided at tree-level by imposing a softly broken $$ {Z}_2^{\prime } $$

Z
2
′

symmetry and we consider type I and type II Yukawa structures. The lightest inert scalar is a viable Dark Matter (DM) candidate. A numerical scan of the free parameters is performed taking into account theoretical constraints such as positivity of the scalar potential and unitarity of 2 → 2 scattering amplitudes. The model is further constrained by experimental results such as B physics lower limits on charged Higgs masses, Electroweak Precision Observables, LEP II, LHC Higgs measurements, Planck measurement of the DM relic abundance and WIMP direct searches by the LUX and XENON1T experiments. The model predictions for mono-jet, mono Z and mono Higgs final states are studied and tested against current LHC data and we find the model to be allowed. We also discuss the effects of abandoning the “dark democracy” assumption common in studies of inert models. Projected sensitivities of direct detection experiments will leave only a tiny window in the DM mass versus coupling plane that is compliant with relic density bounds.