bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Facile Strategy for Construction of Sensor for Detection of Ondansetron and Investigation of its Redox Behavior and Thermodynamic Parameters
Authors: Zaabal Moufida , Doulache Merzak , Bakirhan Nurgul K. , Kaddour Samia , Saidat Boubakeur , Ozkan Sibel A. 
Published: November 2018

AbstractA sodium dodecylsulfate‐doped polypyrrole (SDS‐PPy) film was elaborated on glassy carbon electrode (GCE) by an electrodeposition method in phosphate buffer solution (pH 2.0) containing pyrrole (Py) and sodium dodecyl sulfate (SDS). SDS‐PPy/GCE was used for the construction of sensor, which showed excellent electrochemical response for the detection of ondansetron (OND) compared to conventional PPy. The application of the square wave (SW), with the adsorptive accumulation, indicates a maximum response at 1.33 V in H2SO4 (0.5 M). The influence of experimental parameters on determination of OND is discussed. The adsorptive stripping technique showed to be more sensitive, giving responses twice as big as those of non‐accumulated OND. The substantial improvement of response permits the development of an electroanalytical technique with a linear concentration in the range (1.0–80 μM), low detection (0.09 μM), and quantification limits (0.3 μM), and acceptable relative standard deviations of repeatability (0.59 %), and reproducibility (1.51 %). Consequently, this electrode is promising candidate for an accurate electroanalytical determination of OND in pharmaceutical samples with high sensitivity and selectivity, good accuracy and precision. The electrooxidation of OND at SDS‐PPy/GCE at various temperatures were studied by cyclic voltammetry to evaluate both the kinetic (ks and Ea) and thermodynamic (ΔG*, ΔH* and ΔS*) parameters.
Spatial models for non‐Gaussian data with covariate measurement error
Authors: Tadayon Vahid , Torabi Mahmoud 
Published: November 2018

AbstractSpatial models have been widely used in the public health setup. In the case of continuous outcomes, the traditional approaches to model spatial data are based on the Gaussian distribution. This assumption might be overly restrictive to represent the data. The real data could be highly non‐Gaussian and may show features like heavy tails and/or skewness. In spatial data modeling, it is also commonly assumed that the covariates are observed without errors, but for various reasons, such as measurement techniques or instruments used, uncertainty is inherent in spatial (especially geostatistics) data, and so, these data are susceptible to measurement errors in the covariates of interest. In this paper, we introduce a general class of spatial models with covariate measurement error that can account for heavy tails, skewness, and uncertainty of the covariates. A likelihood method, which leads to the maximum likelihood estimation approach, is used for inference through the Monte Carlo expectation–maximization algorithm. The predictive distribution at nonsampled sites is approximated based on the Markov chain Monte Carlo algorithm. The proposed approach is evaluated through a simulation study and by a real application (particulate matter data set).
Performances of Plasma Sprayed Metal‐supported Solid Oxide Fuel Cell and Stack
Authors: Tsai C. H. , Hwang C. S. , Chang C. L. , Wu S. H. , Lin H. H. , Shiu W. H. , Lin J. K. , Yang S. F. , Fu C. Y. , Yang C. S. 
Published: November 2018

AbstractThe metal‐supported solid oxide fuel cell (MS‐SOFC) consisting of a porous Ni‐Mo as metal‐support, a La0.75Sr0.25Cr0.5Mn0.5O3–δ (LSCM) as diffusion barrier layer, a nano‐structured Ce0.55La0.45O3–δ (LDC)‐Ni as anode layer, a LDC as anode interlayer, a La0.8Sr0.2Ga0.8Mg0.2O3–δ (LSGM) as electrolyte, a Sm0.15Ce0.85O3–δ (SDC) as cathode interlayer, a 50 wt.% SDC–50 wt.% Sm0.5Sr0.5CoO3–δ (SSC) as composite cathode interlayer and a 25 wt.% SDC–75 wt.% SSC as cathode current collector are prepared by atmospheric plasma spraying (APS). The 25 cm2 cell delivers maximum power densities of 962 and 1,119 mW cm−2 at 700 and 750 °C. The durability, thermal cycling and redox cycling tests of this cell show the cell have good durability, thermal cycle stability and redox stability. The assembled single cell stack of 100 cm2 cell shows electric output powers of 39 W (481 mW cm−2) and 27.4 W (338 mW cm−2) at 750 °C and 700 °C. The long‐term stability test of this single cell stack shows a degradation rate of about 0.77% k−1 h−1 over 1,770 h at 400 mA cm−2 and 700 °C. Furthermore, a 25‐cell MS‐SOFC stack is assembled to evaluate the power performance and it shows a stack power of 829.8 W at 19.85 V and 740 °C.
Using soil survey data as a predictive tool for locating deeply buried archaeological deposits in stream valleys of the Midwest, United States
Authors: Layzell Anthony L. , Mandel Rolfe D. 
Published: November 2018

AbstractIn stream valleys of the US Midwest, most of the existing record of prehistoric cultures is deeply buried. Therefore, there is a need for understanding the age and distribution of different landform sediment assemblages (LSAs) in these settings to adequately evaluate the landscape for buried archaeological materials. In this study, we show the applicability of US Department of Agriculture Natural Resources Conservation Service soil survey data to (a) provide information on the spatial distribution and characteristics of different LSAs and (b) determine the associated geologic potential for buried cultural deposits. We considered four factors in our assessment, including the age of sedimentary deposits, soil stratigraphy, depositional environment, and drainage conditions. These data were used to develop a GIS‐based predictive model that was verified with data from a large volume of geoarchaeological research conducted throughout the region. The spatial scale of soil survey data, the uncertain nature of soil mapping, and the ability to detect the presence or absence of buried soils were found to be important limitations. Nevertheless, our results show that soil survey data can be useful as each of the four factors is considered to discriminate particular LSAs and appropriately evaluate buried‐site potential. Our approach can be broadly applied to fluvial systems where cultural deposits are deeply buried, particularly in other countries where soil survey databases exist.
The inferior occipital gyrus is a major cortical source of the face‐evoked N170: Evidence from simultaneous scalp and intracerebral human recordings
Authors: Jacques Corentin , Jonas Jacques , Maillard Louis , Colnat‐Coulbois Sophie , Koessler Laurent , Rossion Bruno 
Published: November 2018

AbstractThe sudden onset of a face image leads to a prominent face‐selective response in human scalp electroencephalographic (EEG) recordings, peaking 170 ms after stimulus onset at occipito–temporal (OT) scalp sites: the N170 (or M170 in magnetoencephalography). According to a widely held view, the main cortical source of the N170 lies in the fusiform gyrus (FG), whereas the posteriorly located inferior occipital gyrus (IOG) would rather generate earlier face‐selective responses. Here, we report neural responses to upright and inverted faces recorded in a unique patient using multicontact intracerebral electrodes implanted in the right IOG and in the OT sulcus above the right lateral FG (LFG). Simultaneous EEG recordings on the scalp identified the N170 over the right OT scalp region. The latency and amplitude of this scalp N170 were correlated at the single‐trial level with the N170 recorded in the lateral IOG, close to the scalp lateral occipital surface. In addition, a positive component maximal around the latency of the N170 (a P170) was prominent above the internal LFG, whereas this region typically generates an N170 (or “N200”) over its external/ventral surface. This suggests that electrophysiological responses in the LFG manifest as an equivalent dipole oriented mostly along the vertical axis with likely minimal projection to the lateral OT scalp region. Altogether, these observations provide evidence that the IOG is a major cortical generator of the face‐selective scalp N170, qualifying the potential contribution of the FG and questioning a strict serial spatiotemporal organization of the human cortical face network.
Analysis of streamflow droughts using fixed and variable thresholds
Authors: Sarailidis Georgios , Vasiliades Lampros , Loukas Athanasios 
Published: November 2018

AbstractHydrological drought analysis is very important in the design of hydrotechnical projects and water resources management and planning. In this study, a methodology is proposed for the analysis of streamflow droughts using the threshold level approach. The method has been applied to Yermasoyia semiarid basin in Cyprus based on 30‐year daily discharge data. Severity was defined as the accumulated water deficit volume occurring during a drought event, in respect with a target threshold. Fixed and variable thresholds (seasonal, monthly, and daily) were employed to derive the drought characteristics. The threshold levels were determined based on the Q50 percentiles of flow extracted from the corresponding flow duration curves for each threshold. The aim is to investigate the sensitivity of these thresholds in the estimation of maximum drought severities for various return periods and the derivation of severity–duration–frequency curves. The block maxima and the peaks over threshold approaches were used to perform the extreme value analysis. Three pooling procedures (moving average, interevent time criterion, and interevent time and volume criterion) were employed to remove the dependent and minor droughts. The application showed that the interevent time and volume criterion is the most unbiased pooling method. Therefore, it was selected to estimate the drought characteristics. The results of this study indicate that monthly and daily variable thresholds are able to capture abnormal drought events that occur during the whole hydrological year whereas the other two, only the severe ones. They are also more sensitive in the estimation of maximum drought severities and the derivation of the curves because they incorporate better the effect of drought durations.
Drought hotspot analysis and risk assessment using probabilistic drought monitoring and severity–duration–frequency analysis
Authors: Samantaray Alok Kumar , Singh Gurjeet , Ramadas Meenu , Panda Rabindra Kumar 
Published: November 2018

AbstractDrought hotspot identification requires continuous drought monitoring and spatial risk assessment. The present study analysed drought events in the agriculture‐dominated mid‐Mahanadi River Basin in Odisha, India, using crop water stress as a drought indicator. This drought index incorporated different factors that affect crop water deficit such as the cropping pattern, soil characteristics, and surface soil moisture. The drought monitoring framework utilized a relevance vector machine model‐based classification that provided the uncertainty associated with drought categorization. Using the proposed framework, drought hotspots are identified in the study region and compared with indices based on precipitation and soil moisture. Further, a bivariate copula is employed to model the agricultural drought characteristics and develop the drought severity–duration–frequency (S–D–F) relationships. The drought hotspot maps and S–D–F curves are developed for different locations in the region. These provided useful information on the site‐specific drought patterns and the characteristics of the devastating droughts of 2002 and 2012, characterized by an average drought duration of 7 months at several locations. The site‐specific risk of short‐ and long‐term agricultural droughts are then investigated using the conditional copula. The results suggest that the conditional return periods and the S–D–F curves are valuable tools to assess the spatial variability of drought risk in the region.
Oxidized graphene nanoparticles as a delivery system for the pro‐apoptotic sphingolipid C6 ceramide
Authors: Suhrland Cassandra , Truman Jean‐Philip , Obeid Lina M. , Sitharaman Balaji 
Published: November 2018

AbstractSphingolipids such as ceramide have attracted much attention as possible anticancer agents due to their potent pro‐apoptotic effects. However, due to their extreme hydrophobicity, there is currently no clinically approved delivery method for in vivo use as a therapeutic agent. To this end, we have developed a novel method for loading the short‐chain C6 ceramide onto oxidized graphene nanoribbons (O‐GNRs) and graphene nanoplatelets (GNPs). Mass spectrometry revealed loading efficiencies of 57% and 51.5% for C6 ceramide onto O‐GNRs and GNPs, respectively. The PrestoBlue viability assay revealed that 100 µg/mL of C6 ceramide‐loaded O‐GNRs and C6 ceramide‐loaded GNPs reduced HeLa cell viability by approximately 93% and approximately 76%, respectively, compared to untreated HeLa cells, while equal concentrations of these nanoparticles without C6 ceramide did not significantly reduce HeLa cell viability. We confirmed that this cytotoxicity was apoptotic in nature via capase‐3 activity and Hoechst staining. Using live‐cell confocal imaging with the fluorescent NBD‐ceramide loaded on O‐GNRs, we observed robust uptake into HeLa cells within 30 min while NBD‐ceramide on its own was uptaken much more rapidly. Transmission electron microscopy confirmed that C6 ceramide‐loaded O‐GNRs were actually entering cells. Taken together, these data show that O‐GNRs are a promising delivery agent for ceramide. To our knowledge, this study is the first to use such a loading method. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 107A: 25–37, 2019.
Development of novel three‐dimensional scaffolds based on bacterial nanocellulose for tissue engineering and regenerative medicine: Effect of processing methods, pore size, and surface area
Authors: Osorio Marlon , Fernández‐Morales Patricia , Gañán Piedad , Zuluaga Robín , Kerguelen Herbert , Ortiz Isabel , Castro Cristina 
Published: November 2018

AbstractDespite the efforts focused on manufacturing biological engineering scaffolds for tissue engineering and regenerative medicine, a biomaterial that meets the necessary characteristics for these applications has not been developed to date. Bacterial nanocellulose (BNC) is an outstanding biomaterial for tissue engineering and regenerative medicine; however, BNC's applications have been focused on two‐dimensional (2D) medical devices, such as wound dressings. Given the need for three‐dimensional (3D) porous biomaterials, this work evaluates two methods to generate (3D) BNC scaffolds. The structural characteristics and physicochemical, mechanical, and cell behaviour properties were evaluated. Likewise, the effects of the pore size and surface area in the mechanical performance of BNC biomaterials and their cell response in a fibroblast cell line are discussed for the first time. In this study, a new method is proposed for the development of 3D BNC scaffolds using paraffin wax. This new method is less time‐consuming, more robust in removing the paraffin and less aggressive toward the BNC microstructure. Moreover, the biomaterial had regular porosity with good mechanical behaviour; the cells can adhere and increase in number without overcrowding. Regarding the pore size and surface area, highly interconnected porosities (measuring approximately 60 μm) and high surface area are advantageous for the biomaterial's mechanical properties and cell behaviour. © 2018 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 107A: 348–359, 2019.
Potentiation of paclitaxel effect by resveratrol in human breast cancer cells by counteracting the 17β‐estradiol/estrogen receptor α/neuroglobin pathway
Authors: Cipolletti Manuela , Montalesi Emiliano , Nuzzo Maria Teresa , Fiocchetti Marco , Ascenzi Paolo , Marino Maria 
Published: November 2018

AbstractNeuroglobin (NGB), an antiapoptotic protein upregulated by 17β‐estradiol (E2), is part of E2/estrogen receptor α (ERα) pathway pointed to preserve cancer cell survival in presence of microenvironmental stressors including chemotherapeutic drugs. Here, the possibility that resveratrol (Res), an anticancer plant polyphenol, could increase the susceptibility of breast cancer cells to paclitaxel (Pacl) by affecting E2/ERα/NGB pathway has been evaluated. In MCF‐7 and T47D (ERα‐positive), but not in MDA‐MB 231 (ERα‐negative) nor in SK‐N‐BE (ERα and ERβ positive), Res decreases NGB levels interfering with E2/ERα‐induced NGB upregulation and with E2‐induced ERα and protein kinase B phosphorylation. Although Res treatment does not reduce cell viability by itself, this compound potentiates Pacl proapoptotic effects. Notably, the increase of NGB levels by NGB expression vector transfection prevents Pacl or Res/Pacl effects. Taken together, these findings indicate a new Res‐based mechanism that acts on tumor cells impairing the E2/ERα/NGB signaling pathways and increasing cancer cell susceptibility to chemotherapeutic agent.
Pulsed electromagnetic fields regulate osteocyte apoptosis, RANKL/OPG expression, and its control of osteoclastogenesis depending on the presence of primary cilia
Authors: Wang Pan , Tang Chi , Wu Junjie , Yang Yuefan , Yan Zedong , Liu Xiyu , Shao Xi , Zhai Mingming , Gao Jie , Liang Shengru , Luo Erping , Jing Da 
Published: November 2018

AbstractGrowing evidence has shown that pulsed electromagnetic fields (PEMF) can modulate bone metabolism in vivo and regulate the activities of osteoblasts and osteoclasts in vitro. Osteocytes, accounting for 95% of bone cells, act as the major mechanosensors in bone for transducing external mechanical signals and producing cytokines to regulate osteoblastic and osteoclastic activities. Targeting osteocytic signaling pathways is becoming an emerging therapeutic strategy for bone diseases. We herein systematically investigated the changes of osteocyte behaviors, functions, and its regulation on osteoclastogenesis in response to PEMF. The osteocyte‐like MLO‐Y4 cells were exposed to 15 Hz PEMF stimulation with different intensities (0, 5, and 30 Gauss [G]) for 2 hr. We found that the cell apoptosis and cytoskeleton organization of osteocytes were regulated by PEMF with an intensity‐dependent manner. Moreover, PEMF exposure with 5 G significantly inhibited apoptosis‐related gene expression and also suppressed the gene and protein expression of the receptor activator of nuclear factor κB ligand/osteoprotegerin (RANKL/OPG) ratio in MLO‐Y4 cells. The formation, maturation, and osteoclastic bone‐resorption capability of in vitro osteoclasts were significantly suppressed after treated with the conditioned medium from PEMF‐exposed (5 G) osteocytes. Our results also revealed that the inhibition of osteoclastic formation, maturation, and bone‐resorption capability induced by the conditioned medium from 5 G PEMF‐exposed osteocytes was significantly attenuated after abrogating primary cilia in osteocytes using the polaris siRNA transfection. Together, our findings highlight that PEMF with 5 G can inhibit cellular apoptosis, modulate cytoskeletal distribution, and decrease RANKL/OPG expression in osteocytes, and also inhibit osteocyte‐mediated osteoclastogenesis, which requires the existence of primary cilia in osteocytes. This study enriches our basic knowledge for further understanding the biological behaviors of osteocytes and is also helpful for providing a more comprehensive mechanistic understanding of the effect of electromagnetic stimulation on bone and relevant skeletal diseases (e.g., bone fracture and osteoporosis).
Population Pharmacokinetic Modeling to Evaluate Standard Magnesium Sulfate Treatments and Alternative Dosing Regimens for Women With Preeclampsia
Authors: Du Lihong , Wenning Larissa , Migoya Elizabeth , Xu Yan , Carvalho Brendan , Brookfield Kathleen , Witjes Han , de Greef Rik , Lumbiganon Pisake , Sangkomkamhang Ussanee , Titapant Vitaya , Duley Lelia , Long Qian , Oladapo Olufemi T. 
Published: November 2018

AbstractMagnesium sulfate is the standard therapy for prevention and treatment of eclampsia. Two standard dosing regimens require either continuous intravenous infusion or frequent, large‐volume intramuscular injections, which may preclude patients from receiving optimal care. This project sought to identify alternative, potentially more convenient, but similarly effective dosing regimens that could be used in restrictive clinical settings. A 2‐compartment population pharmacokinetic (PK) model was developed to characterize serial PK data from 92 pregnant women with preeclampsia who received magnesium sulfate. Body weight and serum creatinine concentration had a significant impact on magnesium PK. The final PK model was used to simulate magnesium concentration profiles for the 2 standard regimens and several simplified alternative dosing regimens. The simulations suggest that intravenous regimens with loading doses of 8 g over 60 minutes followed by 2 g/h for 10 hours and 12 g over 120 minutes followed by 2 g/h for 8 hours (same total dose as the standard intravenous regimen but shorter treatment duration) would result in magnesium concentrations below the toxic range. For the intramuscular regimens, higher maintenance doses given less frequently (4 g intravenously + 10‐g intramuscular loading doses with maintenance doses of 8 g every 6 hours or 10 g every 8 hours for 24 hours) or removal of the intravenous loading dose (eg, 10 g intramusculary every 8 hours for 24 hours) may be reasonable alternatives. In addition, individualized dose adjustments based on body weight and serum creatinine were proposed for the standard regimens.
Pharmacokinetic Interactions of Rolapitant With Cytochrome P450 3A Substrates in Healthy Subjects
Authors: Wang Xiaodong , Wang Jing , Arora Sujata , Hughes Lorraine , Christensen Jennifer , Lu Sharon , Zhang Zhi‐Yi 
Published: November 2018

AbstractRolapitant (Varubi) is a neurokinin‐1 receptor antagonist approved for the prevention of chemotherapy‐induced nausea and vomiting. Rolapitant is primarily metabolized by the cytochrome P450 3A4 (CYP3A4) enzyme. Unlike other neurokinin‐1 receptor antagonists, rolapitant is neither an inhibitor nor an inducer of CYP3A4 in vitro. The objective of this analysis was to examine the pharmacokinetics of rolapitant in healthy subjects and assess drug‐drug interactions between rolapitant and midazolam (a CYP3A substrate), ketoconazole (a CYP3A inhibitor), or rifampin (a CYP3A4 inducer). Three phase 1, open‐label, drug‐drug interaction studies were conducted to examine the pharmacokinetic interactions of orally administered rolapitant with midazolam, rolapitant with ketoconazole, and rolapitant with rifampin. The pharmacokinetic profiles of midazolam and 1‐hydroxy midazolam metabolites were essentially unchanged when coadministered with rolapitant, indicating the lack of a clinically relevant inhibition or induction of CYP3A by rolapitant. Coadministration of ketoconazole with rolapitant had no effects on rolapitant maximum concentration and resulted in an approximately 20% increase in the area under the concentration‐time curve of rolapitant, suggesting that strong CYP3A inhibitors have minimal inhibitory effects on rolapitant exposure. Repeated administrations of rifampin appeared to reduce rolapitant exposure, resulting in a 33% decrease in maximum concentration and 87% decrease in area under the concentration‐time curve from time zero to infinity. Coadministration of rolapitant did not affect the exposure of midazolam. Rifampin coadministration resulted in lower concentrations of rolapitant, and ketoconazole coadministration had no or minimal effects on rolapitant exposure. Rolapitant was safe and well tolerated when coadministered with ketoconazole, rifampin, or midazolam. No new safety signals were reported compared with previous studies of rolapitant.