bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long noncoding RNA NEAT1‐modulated miR‐506 regulates gastric cancer development through targeting STAT3
Authors: Tan Hai‐Yang , Wang Changcheng , Liu Gao , Zhou Xiang 
Published: January 2018

AbstractAccumulating evidence has indicated that long noncoding RNA NEAT1 exerts critical roles in cancers. So far, the detailed biological role and mechanisms of NEAT1, which are responsible for human gastric cancer (GC), are still largely unknown. Here, we observed that NEAT1 and STAT3 expressions were significantly upregulated in human GC cells including BGC823, SGC‐7901, AGS, MGC803, and MKN28 cells compared with normal gastric epithelial cells GES‐1, while miR‐506 was downregulated. We inhibited NEAT1 and observed that NEAT1 inhibition was able to repress the growth, migration, and invasion of GC cells. Conversely, overexpression of NEAT1 exhibited an increased ability of GC progression in BGC823 and SGC‐7901 cells. Bioinformatics analysis, dual luciferase reporter assays, RIP assays, and RNA pull‐down tests validated the negative binding correlation between NEAT1 and miR‐506. In addition, it was found that miR‐506 can modulate the expression of NEAT1 in vitro. STAT3 was predicted as a messenger RNA (mRNA) target of miR‐506, and miR‐506 mimics can suppress STAT3 mRNA expression. Subsequently, it was observed that downregulation of NEAT1 can restrain GC development by decreasing STAT3, which can be reversed by miR‐506 inhibitors. Therefore, it was hypothesized in our study that NEAT1 can be recognized as a competing endogenous RNA to modulate STAT3 by sponging miR‐506 in GC. In conclusion, we implied that NEAT1 can serve as an important biomarker in GC diagnosis and treatment.
Early psychotherapeutic empathy, alliance, and client outcome: Preliminary evidence of indirect effects
Authors: McClintock Andrew S. , Anderson Timothy , Patterson Candace L , Wing Edgar H 
Published: January 2018

AbstractThe association between psychotherapeutic empathy and client outcome is well established, yet the mechanisms underlying this association remain poorly understood. We hypothesized that early experiences of empathy influence outcome through the working alliance. To test this hypothesis, we used archival data collected from 56 clients (mean [M] age = 19.5 years, 83.9% female, 76.8% White) who reported mild, moderate, or severe depressive symptoms at screening and pretreatment assessments and then received five sessions of evidence‐based psychotherapy. Therapists (M age = 26.0 years, 50% female, 100% White) were six students in a clinical psychology PhD program. Results of bootstrap analyses were consistent with the idea that early experiences of empathy strengthen the alliance (specifically the goals and tasks facets), which in turn facilitates improvements in depressive symptoms and psychological well‐being. While preliminary, these results implicate a specific pathway of change in the treatment of depression.
Operator training simulators for biorefineries: current position and future directions
Authors: Isimite Joseph , Baganz Frank , Hass Volker C 
Published: January 2018

AbstractRecent technological advances in the development of alternative energy sources, including biofuels, for transportation and energy requirements have demonstrated the need for highly skilled engineers and operators in the biotechnological industries. Although operator training simulators (OTS) used in the traditional chemical process industries may be used to train biorefinery operators and engineers, several distinct aspects of bioprocess operations make their direct application limited. The development and deployment of OTSs for use in biotechnological processes is therefore beginning to gain increasing attention. This review paper examines the present status of OTS development and use in biorefineries, including future considerations on how an OTS may be used to improve operator competence, maximise biorefinery operational efficiencies and protect people and the environment.The general premise of an OTS is that model‐based operator training simulators can be used to verifiably enhance the training of industrial operators to run complex biorefineries. Only a few examples of the design and application of OTSs in large‐scale biorefineries have so far been reported. A discussion of the mathematical models used for OTS development is briefly presented, as well as available OTS design frameworks and vendors, including their benefits and drawbacks. The review concludes by looking at possible future directions of OTS development and use in biorefineries and their contribution in facilitating the transition to a bio‐based economy. © 2018 Society of Chemical Industry
Orphanhood, Household Relationships, School Attendance and Child Labor in Zimbabwe
Authors: Novella Rafael 
Published: January 2018

AbstractThe high incidence of orphanhood among children makes Zimbabwe an interesting case to study the school/work decision for children able to attend lower secondary. After controlling for household wealth, covariates at the individual, and household levels, and community fixed effects, I find that orphans are less likely to attend school and more likely to work. While orphans and non‐orphans face the same marginal cost to go to school and work, living in blended households places orphans at a higher disadvantage. The main factor related to discrimination within households is living with household heads with whom children are not closely biologically related. Copyright © 2018 John Wiley & Sons, Ltd.
The application of digestive tract lactic acid bacteria with high esterase activity for zearalenone detoxification
Authors: Chen Shiau‐Wei , Hsu Jih‐Tay , Chou Yan‐An , Wang Han‐Tsung 
Published: January 2018

AbstractBACKGROUNDZearalenone (ZEA) is an estrogenic mycotoxin produced by several Fusarium species and frequently contaminates cereals used for food or animal feed. This study attempted to select lactic acid bacteria (LAB) with high esterase activity from the digestive tract, with the goal of using these bacteria for ZEA detoxification.RESULTSNo ZEA activity‐related biotransformation products were observed in three isolates (B1, B2 and D10) during incubation in the presence of ZEA. All three LAB strains were Lactobacillus plantarum, but the API 50 CHL results suggested that the three isolates were different strains. Increased esterase activity was associated with an increase in cell growth, and the ZEA‐detoxifying capabilities of isolates rely on the concentration of bacteria in the culture medium. The lipolytic activity and ZEA removal assay indicated that ZEA degradation by the supernatant fraction was dependent on esterase activity; the supernatant of B2 strain showed the highest ZEA degradation ability and did not release the binding ZEA back into the medium. The D10 strain showed fast ZEA binding ability during the late log phase but began to release the bound ZEA back into the medium after the early stationary phase. All isolates showed good acid and bile salt tolerance ability but all strains showed low adhesion ability to epithelial cells.CONCLUSIONBased on the ZEA removal characterization and ability of the isolates, it is suggested that the isolates could be applied to ZEA detoxification of contaminated feed, but the with the requirement of high cell number for ZEA binding and limited degradation time before absorption of ZEA in the digestive tract. © 2018 Society of Chemical Industry
Selection of Leuconostoc strains isolated from artisanal Serrano Catarinense cheese for use as adjuncts in cheese manufacture
Authors: Seixas Felipe Nael , Rios Edson Antônio , Martinez de Oliveira André Luiz , Beloti Vanerli , Poveda Justa Maria 
Published: January 2018

AbstractBACKGROUNDSerrano Catarinense cheese is a raw bovine milk cheese produced in the region of Santa Catarina, Brazil. Twelve representative strains of Leuconostoc isolated from 20 samples of this artisanal cheese were selected and submitted for evaluation of the acidifying, proteolytic, autolytic, aminopeptidase and lipolytic activities, NaCl and acid resistance, production of dextran and biogenic amines and antimicrobial activity. The aim was to genetically and technologically characterize the Leuconostoc strains in order to use them in mixed starter cultures for cheese manufacture.RESULTSLeuconostoc mesenteroides subsp. mesenteroides was the species that accounted for the largest proportion of isolates of Leuconostoc genus. Two leuconostoc isolates stood out in the acidifying activity, with reduction in pH of 1.12 and 1.04 units. The isolates showed low proteolytic and autolytic activity. Most of the isolates were dextran producers, presented good resistance to the salt and pH conditions of the cheese and showed antimicrobial activity against cheese pathogen bacteria, and none of them produced biogenic amines.CONCLUSIONThese results allowed the selection of five strains (UEL 04, UEL 12, UEL 18, UEL 21 and UEL 28) as good candidates for use as adjunct cultures for cheese manufacture. © 2018 Society of Chemical Industry
Simultaneous determination of seven phenylethanoid glycosides in Cistanches Herba by a single marker using a new calculation of relative correction factor
Authors: Dong Yanhong , Guo Qi , Liu Jingjing , Ma Xueqin 
Published: January 2018

AbstractCurrent quantitative analysis of multi‐components by a single marker is usually performed by using liquid chromatography methods coupled with ultraviolet or mass spectrometry detection to afford the relative correction factors between reference standard and other components. However, low durability of the relative correction factors caused by different chromatographic system leading this approach lacking a high accuracy. In the present study, a simple but effective method was established by employing the absorption coefficient () to calculate the relative correction factors instead of peak area or height. The absorption coefficient, a fundamental constant of physics, has been widely used for qualitative and quantitative analysis in Pharmacopoeia all over the world. According to the absorbance coefficient ratio between echinacoside and other compounds, the content of seven phenylethanoid glycosides in Cistanche deserticola and Cistanches tubulosa were determined simultaneously. The low standard method difference on quantitative measurement of seven compounds in Cistanches Herba between our method and the external standard method proved the consistency of the two methods. Using an ultra high performance liquid system, these seven bioactive phenylethanoid glycosides were baseline separated in 8 min. All the data suggested that the method was accurate and reliable for the determination of multi‐components when authentic standard substances were unavailable.
Review and synthesis of research investigating golden eagle electrocutions
Authors: Mojica Elizabeth K. , Dwyer James F. , Harness Richard E. , Williams Gary E. , Woodbridge Brian 
Published: January 2018

ABSTRACTGolden eagle (Aquila chrysaetos) electrocution on power poles is a global conservation problem with an estimated 504 eagles electrocuted annually in North America alone. Despite widespread use of mitigation techniques to retrofit existing poles and to build new poles to avian‐friendly standards, electrocution remains a leading anthropogenic cause of death for the golden eagle. To assist electric utilities, wildlife managers, and the public in understanding eagle electrocution risk, we reviewed and synthesized risk factors and mitigation techniques from published literature from 1940 to 2016. Eagles have 8 electrocution risk factors: pole design, eagle age, morphology, land cover and topography, prey availability, season, weather, and behavior. Pole configuration was the most frequently identified electrocution risk factor and electrocution incidents were most often associated with distribution level (<69 kV) equipment poles. Age was the second most frequently identified risk factor, with juvenile eagles electrocuted at approximately twice the rate of subadults or adults. Risk was also associated with large body size, high‐quality habitat, high prey density, winter dispersal, inclement weather, and intraspecific interactions. Risk modeling based on these factors may assist electric utilities and other stakeholders in identification of high‐risk poles at the regional scale. High‐risk poles need prioritization for retrofitting by electric utilities. Compensatory mitigation funding becoming available through eagle take permitting may be useful in offsetting costs to utilities. Electrocution mitigation efforts strategized by region to target high‐risk poles could result in substantial reductions of golden eagle annual mortalities. © 2018 The Wildlife Society.
Characterization methods for comprehensive evaluations of shielding materials used in an MRI
Authors: Gross‐Weege Nicolas , Dey Thomas , Gebhardt Pierre , Schug David , Weissler Bjoern , Schulz Volkmar 
Published: January 2018

PurposeIn order to integrate electronic devices into a magnetic resonance imaging (MRI) scanner, shielding of the electronics with respect to the radio frequency (RF) transmit and receive system of the MRI scanner is required. Furthermore, MRI uses time‐varying low‐frequency magnetic fields for spatial encoding, i.e., the gradient magnetic fields. Time‐varying magnetic fields induce eddy currents in all conductive elements. The eddy currents result in opposing magnetic fields, which can cause distortions of the magnetic resonance (MR) image. As shielding of lower frequencies is not feasible in this respect, an ideal shielding element should be transparent for gradient magnetic fields while providing a high RF shielding effectiveness. Furthermore, it should offer a low susceptibility to prevent distortion of the main magnetic field of the MRI. In this work, we characterize the aforesaid shielding parameters of different shielding samples.MethodsWe developed a nuclear magnetic resonance (NMR) probe to measure the magnetic fields to quantify the field distortions time‐resolvedly. The relative distortion was introduced as a proportionality constant relating the eddy‐current‐inducing field changes and the field distortions. The relative distortion was measured in the frequency range from 0 to 10 kHz for all shielding samples using the NMR probe. We characterized the shielding effectiveness of the samples in the frequency range from 1 to 150 MHz using a network analyzer. We conducted all measurements with three different materials, two carbon fiber composites and copper, each in various thicknesses.ResultsThe relative distortion of the magnetic fields induced by the carbon fiber composites samples was at least a factor of seven lower than the copper sample. A linear dependency on the sample thickness was measured for the main field distortion, the relative distortion and the shielding effectiveness. The relative distortion was roughly independent of the gradient frequency contrary to the shielding effectiveness, highly depending on the RF frequency.ConclusionsWe presented a very sensitive method to characterize the distortion of the main field distortion and the gradient transparency using an NMR probe. We analyzed different shielding materials regarding the main field distortion, the gradient transparency, and the shielding effectiveness. From the tested materials, we identified a carbon fiber composite with the lowest distortion on the MRI.
An adaptive MsFEM for nonperiodic viscoelastic composites
Authors: Klimczak Marek , Cecot Witold 
Published: January 2018

SummaryWe present a modification of the multiscale finite element method (MsFEM) for modeling of heterogeneous viscoelastic materials and an enhancement of this method by the adaptive generation of both meshes, ie, a macroscale coarse one and a microscale fine one. The fine mesh refinements are performed independently within coarse elements adjusting the microscale discretization to the microstructure, whereas the coarse mesh adaptation optimizes the macroscale approximation. Besides the coupling of the hp‐adaptive finite element method with the MsFEM we propose a modification of the MsFEM to accommodate for the analysis of transient nonlinear problems. We illustrate the efficiency and accuracy of the new approach for a number of benchmark examples, including the modeling of functionally graded material, and demonstrate the potential of our improvement for upscaling nonperiodic and nonlinear composites.
Preparation and characterization of porous cationic poly[styrene‐co‐(N,N′‐dimethylaminoethyl methacrylate)] nanoparticles and their adsorption of heavy metal ions in water
Authors: Hu Yang , Wang Lihui , Shen Jie , Jiang Guoqiang , Kan Chengyou 
Published: January 2018

AbstractUsing styrene (St) andN,N′‐dimethylaminoethyl methacrylate (DMAEMA) as raw materials, monodispersed P(St‐co‐DMAEMA) nanoparticles (NPs) were first prepared via semi‐continuous emulsion polymerization, and using a stepwise acid–alkali post‐treatment, porous P(St‐co‐DMAEMA) NPs were then obtained and used to adsorb heavy metal ions in aqueous phase. Results showed that the post‐treatment conditions including temperature, initial pH and time of acid–alkali treatment had significant effects on the morphology of the porous P(St‐co‐DMAEMA) NPs, with higher temperature, more extreme pH condition and longer treatment time resulting in larger pores and volume swelling ratio. Under the optimized acid–alkali post‐treatment conditions (60 °C, acid treatment at pH = 4.0 for 1 h and then alkali treatment at pH = 10.0 for 1 h), the obtained porous NPs had nearly 15 times the surface area and 1.5 times the amount of surface amino groups than the corresponding solid NPs. An analysis of the mechanism of metal ion adsorption on the porous NPs indicated that the adsorbed amount of metal ions was the result of synergistic effect of physical and chemical adsorption, which was closely related to the porous NP surface area, amount of surface of amino groups and the volume of the ions. © 2018 Society of Chemical Industry
Assessing robustness of factor ranking for supersaturated designs
Authors: Jang Dae‐Heung , Anderson‐Cook Christine M. 
Published: January 2018

AbstractSupersaturated designs can potentially be a beneficial tool for efficiently exploring a large number of factors with a moderately sized design. However, because more factors are being considered than there are runs, the stability of the identified factors depends heavily on effect sparsity and the lack of highly influential observations. A helpful tool for the analysis of supersaturated designs is least absolute shrinkage and selection operation (LASSO), which is useful when the effects of many explanatory variables are sparse in a high‐dimensional dataset. To understand the impact of individual observations on the selected factors, the LASSO influence plot was created. This paper describes an application of this plot and its variants that can be used to identify influential points, increase understanding of the impact of individual observations on model parameters, and the robustness of results in analyses with supersaturated designs. These graphical methods can serve as a complement to other regression diagnostics techniques in the LASSO regression setting.
A general class of nonparametric control charts
Authors: Koutras Markos V. , Triantafyllou Ioannis S. 
Published: January 2018

AbstractIn this article, we introduce a new general class of nonparametric Shewhart‐type control charts using the lengths of runs of test sample observations between successive observations of a reference sample. Several control charts that have appeared in the literature are members of the new family. In addition, 3 new nonparametric control charts that belong to the class are introduced and studied. Numerical results depict that the proposed charts attain competitive in‐control and out‐of‐control performance as compared with existing nonparametric charts.
Decentralized stabilization of Markovian jump interconnected systems with unknown interconnections and measurement errors
Authors: Li Li‐Wei , Yang Guang‐Hong 
Published: January 2018

SummaryThis paper investigates the decentralized output feedback control problem for Markovian jump interconnected systems with unknown interconnections and measurement errors. Different from some existing results, the global operation modes of all subsystems are not required to be completely accessible for the decentralized control system. A decentralized dynamic output feedback controller is constructed using neighboring mode information and local outputs, where the measurement errors between actual and measured outputs are considered. Subsequently, a new design method is developed such that the resultant closed‐loop system is stochastically stable and satisfying an L∞‐norm constraint. Sufficient conditions are formulated by linear matrix inequalities, and the controller gains are characterized in terms of the solution of a convex optimization problem. Finally, an example is given to illustrate the effectiveness of the proposed theoretical results.
Data‐based conjectures for supporting responsive teaching in engineering design with elementary teachers
Authors: Watkins Jessica , McCormick Mary , Wendell Kristen Bethke , Spencer Kathleen , Milto Elissa , Portsmore Merredith , Hammer David 
Published: January 2018

AbstractThe national efforts underway to include engineering in K–12 science education present a variety of new challenges, including how to prepare teachers to teach a new discipline. In this paper, we focus on elementary teachers and how they enter into responsive teaching, in which they closely attend and meaningfully respond to students’ thinking. This pedagogical approach is particularly critical for teaching engineering design in ways that support students in developing original solutions to complex, dynamic problems. Drawing on 3 years of professional development that helped teachers incorporate engineering in literacy contexts, we investigated the knowledge and abilities teachers displayed for responsive teaching and how features of instructional design and classroom dynamics impacted their teaching. Throughout the project, we observed and videotaped professional development workshops and teachers’ classrooms, and interviewed teachers about their classroom experiences. We then conducted a thematic analysis across these data sources, presenting common themes as conjectures for how teachers enter into responsive teaching in engineering. We discuss how these conjectures can inform teacher research and the design of teacher preparation programs in engineering.
Ultrathin Nitrogen‐Doped Carbon Layer Uniformly Supported on Graphene Frameworks as Ultrahigh‐Capacity Anode for Lithium‐Ion Full Battery
Authors: Huang Yanshan , Li Ke , Yang Guanhui , Aboud Mohamed F. Aly , Shakir Imran , Xu Yuxi 
Published: January 2018

AbstractThe designable structure with 3D structure, ultrathin 2D nanosheets, and heteroatom doping are considered as highly promising routes to improve the electrochemical performance of carbon materials as anodes for lithium‐ion batteries. However, it remains a significant challenge to efficiently integrate 3D interconnected porous frameworks with 2D tunable heteroatom‐doped ultrathin carbon layers to further boost the performance. Herein, a novel nanostructure consisting of a uniform ultrathin N‐doped carbon layer in situ coated on a 3D graphene framework (NC@GF) through solvothermal self‐assembly/polymerization and pyrolysis is reported. The NC@GF with the nanosheets thickness of 4.0 nm and N content of 4.13 at% exhibits an ultrahigh reversible capacity of 2018 mA h g−1 at 0.5 A g−1 and an ultrafast charge–discharge feature with a remarkable capacity of 340 mA h g−1 at an ultrahigh current density of 40 A g−1 and a superlong cycle life with a capacity retention of 93% after 10 000 cycles at 40 A g−1. More importantly, when coupled with LiFePO4 cathode, the fabricated lithium‐ion full cells also exhibit high capacity and excellent rate and cycling performances, highlighting the practicability of this NC@GF.