bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ni2P Nanosheets: A High Catalytic Activity Platform for Electrochemical Detection of Acetaminophen
Authors: Wei Ming , Lu Wenbo , Liu Guoqin , Jiang Yimin , Liu Xuebo , Bai Liwei , Cao Xiaowei , Jia Jianfeng , Wu Haishun 
Published: March 2021

Main observation and conclusionAccurate determination of acetaminophen concentration is essential for studying the metabolic status of acetaminophen in clinical practice. In this study, nickel phosphide was used for electrochemical detection of acetaminophen for the first time. An electrochemical acetaminophen sensor based on Ni2P nanosheets was successfully constructed and the sensor showed many convincing properties: (a) a good linear range (0.5 μmol/L—4.5 mmol/L); (b) a moderate sensitivity (131.1 μA·mmol–1·L·cm–2); (c) a low detection limit (0.107 μmol/L). In addition, the sensor also showed excellent selectivity, robust stability and reliable repeatability. Further experiments demonstrate that the prepared sensor can be used for quantitative detection of acetaminophen in commercial medical drugs.
Liouville Theorems and a Schwarz Lemma for Holomorphic Mappings Between Kähler Manifolds
Authors: Ni Lei 
Published: March 2021

AbstractWe derive some consequences of the Liouville theorem for plurisubharmonic functions of L.‐F. Tam and the author. The first result provides a nonlinear version of the complex splitting theorem (which splits off a factor of ℂ isometrically from the simply connected Kähler manifold with nonnegative bisectional curvature and a linear growth holomorphic function) of L.‐F. Tam and the author. The second set of results concerns the so‐called k‐hyperbolicity and its connection with the negativity of the k‐scalar curvature (when k = 1 they are the negativity of holomorphic sectional curvature and Kobayashi hyperbolicity) introduced recently in [33] by F. Zheng and the author. We lastly prove a new Schwarz‐lemma‐type estimate in terms of only the holomorphic sectional curvatures of both domain and target manifolds. © 2020 Wiley Periodicals LLC.
The Mafb cleft‐associated variant H131Q is not required for palatogenesis in the mouse
Authors: Paul Brian J. , Palmer Kristina J. , Rhea Lindsey , Carlson Melissa , Sharp Jocelyn C. , Pratt C. Herbert , Murray Stephen A. , Dunnwald Martine 
Published: March 2021

AbstractBackgroundOrofacial clefts (OFCs) are common birth defects with complex etiology. Genome wide association studies for OFC have identified SNPs in and near MAFB. MAFB is a transcription factor critical for structural development of digits, kidneys, skin, and brain. MAFB is also expressed in the craniofacial region. Previous sequencing of MAFB in a Filipino population revealed a novel missense variant significantly associated with an increased risk for OFC. This MAFB variant, leading to the amino acid change H131Q, was knocked into the mouse Mafb, resulting in the MafbH131Q allele. The MafbH131Q construct was engineered to allow for deletion of Mafb (“Mafbdel”).ResultsMafbdel/del animals died shortly after birth. Conversely, MafbH131Q/H131Q mice survived into adulthood at Mendelian ratios. Mafbdel/del and MafbH131Q/H131Q heads exhibited normal macroscopic and histological appearance at all embryonic time points evaluated. The periderm was intact based on expression of keratin 6, p63, and E‐cadherin. Despite no effect on craniofacial morphogenesis, H131Q inhibited the Mafb‐dependent promoter activation of Arhgap29 in palatal mesenchymal, but not ectodermal‐derived epithelial cells in a luciferase assay.ConclusionsMafb is dispensable for murine palatogenesis in vivo, and the cleft‐associated variant H131Q, despite its lack of morphogenic effect, altered the expression of Arhgap29 in a cell‐dependent context.
Mechanisms driving plant functional trait variation in a tropical forest
Authors: Hofhansl Florian , Chacón‐Madrigal Eduardo , Brännström Åke , Dieckmann Ulf , Franklin Oskar 
Published: March 2021

AbstractPlant functional trait variation in tropical forests results from taxonomic differences in phylogeny and associated genetic differences, as well as, phenotypic plastic responses to the environment. Accounting for the underlying mechanisms driving plant functional trait variation is important for understanding the potential rate of change of ecosystems since trait acclimation via phenotypic plasticity is very fast compared to shifts in community composition and genetic adaptation. We here applied a statistical technique to decompose the relative roles of phenotypic plasticity, genetic adaptation, and phylogenetic constraints. We examined typically obtained plant functional traits, such as wood density, plant height, specific leaf area, leaf area, leaf thickness, leaf dry mass content, leaf nitrogen content, and leaf phosphorus content. We assumed that genetic differences in plant functional traits between species and genotypes increase with environmental heterogeneity and geographic distance, whereas trait variation due to plastic acclimation to the local environment is independent of spatial distance between sampling sites. Results suggest that most of the observed trait variation could not be explained by the measured environmental variables, thus indicating a limited potential to predict individual plant traits from commonly assessed parameters. However, we found a difference in the response of plant functional traits, such that leaf traits varied in response to canopy‐light regime and nutrient availability, whereas wood traits were related to topoedaphic factors and water availability. Our analysis furthermore revealed differences in the functional response of coexisting neotropical tree species, which suggests that endemic species with conservative ecological strategies might be especially prone to competitive exclusion under projected climate change.
Factors influencing the habitat use by ocelots in one of the last large Atlantic Forest remnants in southeastern Brazil
Authors: Pasa Juliana Benck , Arrais Ricardo Corassa , Massara Rodrigo Lima , Pereira Gabriel , de Azevedo Fernando Cesar Cascelli 
Published: March 2021

AbstractOcelots (Leopardus pardalis) are widely distributed throughout the Americas, being dependent on forested areas to survive. Although ocelot ecology is broadly studied throughout the species range distribution, studies concerning factors that may affect ocelot occupancy in the Atlantic Forest are still scarce. We used camera traps to evaluate factors influencing the probabilities of detection and occupancy of ocelots in a protected area of the Atlantic Forest, the Rio Doce State Park (RDSP), southeastern Brazil. To assess ocelot occupancy and detection probabilities, we measured the distances between sampling stations and rivers, lakes, cities, pasture, and Eucalyptus plantations. In addition, we recorded the mean rainfall levels for each sampling occasion, and native grassland areas within a 500 m‐buffer around each sampling station. We found a strong and positive association between ocelot detection and the dry season, which might be due to a higher number of individuals moving through the Park during this season. Moreover, we found a strong and positive association of ocelot detection with native grassland areas around lakes, which may be related to the ocelot behavior of searching for prey in these areas. Conversely, the ocelot occupancy probability was intermediate ( = 0.53, 95% CI = 0.36–0.69) and was not strongly associated with the evaluated covariates, which may be explained by the high‐quality of forest habitats and water resources that are homogeneously distributed within the Park. Our study indicates that the RDSP still provides a structurally suitable forest habitat for ocelots, but because of the current worrying scenario of over fragmentation, reduction of forest cover, and weakness of the protective legislation of this biome, the long‐term persistence of the species in RDSP is uncertain.
Canagliflozin, serum magnesium and cardiovascular outcomes—Analysis from the CANVAS Program
Authors: Wang Katherine M. , Li JingWei , Bhalla Vivek , Jardine Meg J. , Neal Bruce , de Zeeuw Dick , Fulcher Greg , Perkovic Vlado , Mahaffey Kenneth W. , Chang Tara I. 
Published: March 2021

AbstractBackgroundPatients with type 2 diabetes (T2D) are predisposed to derangements in serum Magnesium (Mg), which may have implications for cardiometabolic events and outcomes. In clinical trials, participants with T2D randomized to sodium‐glucose co‐transporter 2 (SGLT2) inhibitors have shown mild to moderate increases in serum Mg from baseline levels. This post hoc analysis assesses the relation between serum Mg with cardiovascular outcomes in 10,140 participants of the Canagliflozin Cardiovascular Assessment Study (CANVAS) Program.MethodsWe evaluated the association of baseline serum Mg with the primary composite end point of death from cardiovascular causes, non‐fatal myocardial infarction, and non‐fatal stroke, and tested whether this association is modified by baseline serum Mg. Using mediation analysis, we determined whether change in serum Mg post‐randomization mediates the beneficial effect of canagliflozin on cardiovascular outcomes.ResultsMean serum Mg levels at baseline were 0.77 ± 0.09 mmol/L in both canagliflozin group and placebo groups. The canagliflozin group experienced an average increase in serum Mg by 0.07 mmol/L (95% CI, 0.065–0.072 mmol/L; p < .001) for the duration of the trial. We found no association between baseline serum Mg levels and the primary composite end point, and no evidence of effect modification by baseline Mg levels. Change in serum Mg post‐randomization was not a mediator of the effects of canagliflozin on cardiovascular outcomes.ConclusionsIn participants of the CANVAS Program, baseline and post‐randomization serum Mg levels are not associated with cardiovascular outcomes.
The impact of better‐ Versus worse‐than‐average comparisons on beliefs about how life satisfaction is unfolding over time, affect, and motivation
Authors: DeGagne Brock , Busseri Michael A. 
Published: March 2021

AbstractWe investigated comparisons to the average other in shaping how individuals view their lives as unfolding over time, affective reactions, and motivation. Participants described their current life (Study 1;N = 382;Mage = 30.01 years; 43% female) or their life as unfolding over time (Study 2;N = 451;Mage = 30.89; 54% female) as either better (BTA) or worse (WTA) than the average person their age and gender (both studies included a “no comparison” control group). In both studies the BTA (vs. WTA) condition resulted in greater perceived improvement in life satisfaction, more positive affective reactions, and greater motivation to achieve one's goals for the future. Thus, we conclude that viewing one's current life or one's progress in life over time as better (vs. worse) than average leads to more favourable temporal life evaluations, more positive affective responses, and greater motivation.
Feasibility analysis of a solar‐assisted electric vehicle charging station model considering differential pricing
Authors: Nityanshi  , Mathur Tanmay , Tikkiwal Vinay Anand , Nigam Kaushal 
Published: March 2021

AbstractFossil‐fuel consumption has tremendously escalated in recent decades, resulting in a significant rise in harmful emissions, contributing to global warming and environmental contamination. Transportation sector is one of the major contributors to rising emission levels across the globe. The ever‐increasing vehicular count has made the development and deployment of eco‐friendly substitutes such as electric vehicles (EVs) imperative. Infrastructure development requiring a high investment becomes a major roadblock for the adoption of EVs. This work focuses on the much‐needed transition to EVs and proposes a design for specialized EV‐charging stations. Energy requirement for the proposed stations is partially met through rooftop photovoltaic plants. It also takes into consideration the present and future vehicular topology along with a differential pricing strategy adopted for effective load management. Three different categories of electric vehicle supply equipment (EVSE) have been analyzed. Using the case for the state of Delhi in India, that houses over 10 million vehicles. A detailed techno‐economic analysis reveals that the proposed design yields a yearly profit of $63 680 and allows the charging stations to recover their setup costs in 2.5 years. Level‐2 EVSE with an output of 22 kW is most efficient and results in reducing greenhouse gas emissions by 104 t.
A spectral/hp element method for thermal convection
Authors: Hossain Mohammad Z. , Cantwell Chris D. , Sherwin Spencer J. 
Published: March 2021

AbstractWe report on a high‐fidelity, spectral/hp element algorithm developed for the direct numerical simulation of thermal convection problems. We consider the incompressible Navier–Stokes (NS) and advection–diffusion equations coupled through a thermal body‐forcing term. The flow is driven by a prescribed flowrate forcing with explicit treatment of the nonlinear advection terms. The explicit treatment of the body‐force term also decouples both the NS and the advection–diffusion equations. The problem is then temporally discretized using an implicit–explicit scheme in conjunction with a velocity‐correction splitting scheme to decouple the velocity and pressure fields in the momentum equation. Although not unique, this type of discretization has not been widely applied to thermal convection problems and we therefore provide a comprehensive overview of the algorithm and implementation which is available through the open‐source package Nektar++. After verifying the algorithm on a number of illustrative problems we then apply the code to investigate flow in a channel with uniform or streamwise sinusoidal lower wall, in addition to a patterned sinusoidal heating. We verify the solver against previously published two‐dimensional results. Finally, for the first time we consider a three‐dimensional problem with a streamwise sinusoidal lower wall and sinusoidal heating which, for the chosen parameter, leads to the unusual dynamics of an initially unsteady two‐dimensional instability leading to a steady three‐dimensional nonlinear saturated state.
RREB1‐MKL2 fusion in a spindle cell sinonasal sarcoma: biphenotypic sinonasal sarcoma or ectomesenchymal chondromyxoid tumor in an unusual site?
Authors: Mechtersheimer Gunhild , Andrulis Mindaugas , Delank Klaus‐Wolfgang , Volckmar Anna‐Lena , Zhang Lei , von Winterfeld Moritz , Stenzinger Albrecht , R. Antonescu Cristina 
Published: March 2021

AbstractBiphenotypic sinonasal sarcoma (BSNS) is a rare, low grade spindle cell sarcoma, recently recognized in the WHO classification of head and neck tumors, which is characterized by a dual myogenic and neural differentiation and recurrent gene fusions, often involving PAX3‐MAML3, and less commonly PAX3 fusions with other partners such as NCOA1, NCOA2, or WWTR1. Yet, in about 4% of tumors no gene rearrangements are identified. Herein, we describe a RREB1‐MKL2 fusion in a BSNS lesion occurring in a 73‐year‐old female patient with a right maxillo‐ethmoidal angle lesion. The polypoid, moderately cellular tumor with infiltrative submucosal growth was composed of fascicles of relatively bland spindle cells embedded in a loose collagenous matrix. The tumor cells showed moderate amounts of eosinophilic cytoplasm with indistinct borders and uniform, pale, ovoid to slender nuclei. The slowly proliferating neoplastic cells co‐expressed smooth muscle actin and S100, and showed focal nuclear positivity for ß‐catenin, while lacking staining for cytokeratins, desmin, myogenin, caldesmon, glial fibrillary acid protein, and SOX‐10. Molecular analysis by targeted RNA‐based next‐generation sequencing identified an in‐frame fusion between exon 8 of RREB1 and exon 11 of MKL2, a genetic event that was reported to be a molecular hallmark of ectomesenchymal chondromyxoid tumor. Gene rearrangements in both genes were independently verified by fluorescence in situ hybridization (FISH). To evaluate its recurrent potential an additional group of 15 fusion negative BSNS were tested for abnormalities in RREB1 and MKL2 genes by FISH, but no additional positive cases were identified.
Use of collaborative concept mapping in team diagnosis
Authors: Pan Dan , Wang Tingyi , Zhang Xuegang , Jia Ming , Li Zhizhong 
Published: March 2021

AbstractTeamwork is necessary to accomplish challenging and information‐rich tasks in complex industrial systems, such as fault diagnosis in nuclear power plants. To improve team performance, assistive visualization tools are used to promote communication and reduce cognitive conflicts. As a shared visualization technology, collaborative concept mapping can effectively externalize one's thoughts into a visualized structure, thereby improving the efficiency of communication and information processing. This study accordingly investigates the effects of collaborative concept mapping on team diagnosis in two fault situations with different complexity levels in a simulated nuclear power plant: one caused by a single initiating event, and the other triggered by two initiating events. The dependent variables included fault analysis score, diagnostic result score, diagnosis time, workload, score of concept map content, and fixation time on a teammate's concept map. The findings revealed that collaborative concept mapping significantly improved the diagnostic result score and shortened diagnosis time, and marginally but significantly increased the fault analysis score. However, under the more complex fault situation triggered by two initiating events, this tool also significantly increased participants’ physical load and frustration level. Future work should focus on how collaborative concept mapping can improve operator performance while causing as little extra workload as possible, as well as explore its effects on experienced operators.
Thirsty? Choose Water! Encouraging Secondary School Students to choose water over sugary drinks. A descriptive analysis of intervention components
Authors: Gowland‐Ella Justine , Kajons Nicole , David Michael , Lewis Peter , Trinh Katie , Louis Danielle , Kingon Nina , Batchelor Samantha 
Published: March 2021

AbstractBackgroundChildhood obesity is a significant public health issue. Sugar‐sweetened beverage (SSB) consumption contributes to this and adolescents are high consumers. This paper provides a descriptive overview of a school‐based intervention to address this.Methods61 secondary schools in New South Wales were randomised to receive a behavioural intervention (BI), a chilled water station (CWS), both interventions or neither (control). The BI was delivered through classroom lessons, school‐based promotion and vaccination clinic. The CWS intervention included the installation of one CWS per school. Intervention effectiveness over time was assessed via student surveys at baseline, post‐intervention and follow‐up (individual‐level outcomes), feedback from teachers and vaccination nurses, a school information survey, and remotely monitored CWS water usage (school‐level outcomes).ResultsTeachers reported the BI was useful in teaching students about drinking water and negative consequences of SSBs. Nurses considered the post‐vaccination waiting period a good opportunity to deliver health promotion messages. Students in this group showed statistically significant changes in knowledge about SSBs, dehydration effects and changes in daily SSB consumption (T1 23.18%; T3 18.20%). Positive feedback regarding CWSs was received with an increase in water consumption reported for students in this group (T1 86.15% to T3 89.66%) and a statistically significant increase in students carrying a water bottle to school and filling it observed.ConclusionsBoth interventions were readily implemented with high levels of acceptability and impact on students’ knowledge and SSB consumption. The study demonstrates how to promote water consumption in schools utilising two different interventions.So what?Evidence regarding how to decrease SSB consumption amongst secondary school students has been strengthened.
A study of electro‐osmotic and magnetohybrid nanoliquid flow via radiative heat transfer past an exponentially accelerated plate
Authors: Rajaram Vijayaragavan , Varadharaj Bharathi , Jayavel Prakash 
Published: March 2021

AbstractThis paper explores the electro‐osmotic flow with a uniform magnetic transverse field and thermal radiation. An investigation has been conducted on electromagnetohydrodynamics (EMHD) boundary layer past a moving upright accelerated plate in hybrid nanoliquids. Two specific water‐based hybrid nanoliquids are taken into account, which include copper and aluminum oxide. To define the electrical potential distribution in the fluid medium, the Poisson–Boltzmann distribution is used and linearized by Debye–Huckel. The control equations are solved by the transformation technique of Laplace and results are obtained in a closed shape. The quantitative analysis of the nanoliquid temperature, axial velocity, and Nusselt number on the accelerated plate for several values of the related parameters is shown by a graph. Hybrid nanoliquids are known to create fluid flows significantly larger than nanoliquids, which are very helpful in cleaning the contaminated water in a nuclear plant.
Recent advances inknowledge‐basedmodel structure optimization and extrapolation techniques for microwave applications
Authors: Na Weicong , Yan Shuxia , Feng Feng , Liu Wenyuan , Zhu Lin , Zhang Qi‐Jun 
Published: March 2021

AbstractArtificial neural network modeling techniques have been recognized as important vehicles in the microwave computer‐aided design (CAD) area in addressing the growing challenges of designing next generation microwave device, circuits, and systems. This article provides an overview of recent advances in knowledge‐based neural network model generation and extrapolation techniques for microwave applications. We first introduce the unified knowledge‐based neural network structure optimization technique. Using the distinctive property for feature selection ofl1optimization, this unified modeling technique efficiently determines the type and topology of the mapping structure in a knowledge‐based model. This knowledge‐based model structure optimization technique is more flexible and systematic, and can further speed up the knowledge‐based neural model development. As a further advancement, we also discuss the advanced multi‐dimensional extrapolation technique for neural‐based microwave modeling. The purpose is to make the neural network model can be reliably used not only inside the training range but also outside the training range. Multi‐dimensional cubic polynomial extrapolation formulation and optimization over grids outside the training range are utilized to make neural models more robust and reliable when they are used outside the training range. The validity of these techniques is demonstrated by microwave modeling examples.