bluuebunny/crossref_metadata_2025_split huggingface dataset:
A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks
Authors: Tang Liangrui , He Yanhua , Zhou Zhenyu , Ren Yun , Mumtaz Shahid , Rodriguez Jonathan 
Published: November 2019

AbstractBase station (BS) sleeping technology has become one of the significant technologies in fifth‐generation green communications. However, enormous communication overhead and coverage holes produced by existing sleeping strategies will decline the robustness of the network. To tackle this problem, this paper proposes a distance‐sensitive distributed repulsive sleeping strategy (DSDRSS), based on hard‐core point process (HCPP). First, through information exchanges, presleeping BSs in the same region form a sleeping cluster (SC) whose size is limited by sleeping distance. Second, BSs in the SC perform BS sleeping with a mark method where BSs will be randomly assigned a mark, and BSs with the lowest mark will remain on to ensure the coverage. Third, to characterize the performance of DSDRSS, the analytical expressions of sleeping probability, coverage probability, and average achievable rate for user equipment (UE) under DSDRSS are derived. Finally, the coverage characteristics of UE under DSDRSS are analyzed and compared with those under different sleeping operations. DSDRSS realizes sleeping operations through the cooperation between BSs in an SC, not relying on the feedback links between a small BS and the control center. As a result, DSDRSS can not only enable flexible perception of traffic changes in sleeping area but also complete sleeping with less overhead. The simulation results show that DSDRSS supports more dependable coverage compared with random sleeping strategy and general repulsive sleeping strategy.
Energy loss prediction in nonoriented materials using machine learning techniques: A novel approach
Authors: Khan Mahmood , Afaq Muhammad , Islam Ihtesham Ul , Iqbal Javed , Shoaib Muhammad 
Published: November 2019

AbstractTraditional extrapolation performed by machine designers for energy loss estimation results in the decrease of the overall efficiency of electrical machines. Therefore, state‐of‐the‐art techniques need to be developed in order to accurately predict the energy loss in electrical machines for their improved performance. To this end, machine learning techniques have been employed to predict accurate energy loss at different frequencies and induction levels under rotational conditions. Such types of flux exist near the teeth of the stator in synchronous machines. In transformers, rotational flux arises at the bends and corners of the stators. It was observed that the random forest machine learning algorithm has the least mean square error and as such is the most suited algorithm, which can be used for the accurate prediction of energy loss in nonoriented materials.
Development and application of a simulation approach for fire and structure interaction of concrete members subject to spalling
Authors: Janssens Marc , Dasgupta Biswajit 
Published: November 2019

SummaryThis paper describes the development and illustrates the use of an approach to model the mechanical performance of a concrete bridge and its structural components exposed to fire and subject to spalling. The work is motivated by some recent fire incidents that involved concrete bridges, the poor state of an increasing number of bridges throughout the United States (which makes them more vulnerable to fire damage), and the lack of design codes and standards that adequately protect bridges against fire. An important objective of the work is to develop a method to predict spalling that captures the principal physical and chemical phenomena but is simple enough so that it can be implemented in a 3‐D structural simulation. The first step in the approach involves using a hydrothermal model to determine if and at what temperature spalling occurs for a specified concrete mix (defined by its composition, type of aggregate, water‐cement ratio, porosity, permeability, etc), free moisture content, and heating rate. The second step uses the resulting “critical spalling temperature” in a coupled thermal and mechanical analysis to determine how spalling affects the performance of the concrete member. The approach is illustrated for two standard fire resistance tests conducted on posttensioned concrete slab systems reported in the literature. The paper concludes with a list of recommendations for additional work to improve the predictive capability of the heat and mass transfer and structural models and to address several challenges with the implementation of the spalling criteria in the structural model.
Solving the incompressible fluid flows by a high‐order mesh‐free approach
Authors: Rammane Mohammed , Mesmoudi Said , Tri Abdeljalil , Braikat Bouazza , Damil Noureddine 
Published: November 2019

SummaryIn this paper, we propose for the first time to extend the application field of the high‐order mesh‐free approach to the stationary incompressible Navier‐Stokes equations. This approach is based on a high‐order algorithm, which combines a Taylor series expansion, a continuation technique, and a moving least squares (MLS) method. The Taylor series expansion permits to transform the nonlinear problem into a succession of continuous linear ones with the same tangent operator. The MLS method is used to transform the succession of continuous linear problems into discrete ones. The continuation technique allows to compute step‐by‐step the whole solution of the discrete problems. This mesh‐free approach is tested on three examples: a flow around a cylindrical obstacle, a flow in a sudden expansion, and the standard benchmark lid‐driven cavity flow. A comparison of the obtained results with those computed by the Newton‐Raphson method with MLS, the high‐order continuation with finite element method, and those of literature is presented.
Effects of encapsulated rosemary extract on oxidative and microbiological stability of beef meat during refrigerated storage
Authors: Rashidaie Abandansarie Seyede Salimeh , Ariaii Peiman , Charmchian Langerodi Mehdi 
Published: November 2019

AbstractIn this study, the effect of rosemary extract in two free and encapsulated forms to increase the shelf life of beef meat during a 28‐day refrigerated storage period was investigated. For this purpose, rosemary was extracted using different extraction methods including ultrasound, solvent, and supercritical fluid extraction. The amount of phenolic compounds, antioxidant properties (free radical scavenging capacity of DPPH radical, ferric reducing antioxidant power), and antimicrobial activity of rosemary extract against pathogenic bacteria were evaluated. According to the results, the highest amount of phenolic compounds, antioxidant, and antimicrobial activity was observed in rosemary extracted by ultrasound method that used for next study (p < .05). In order to encapsulation of the rosemary extract, basil seed gum and soybean protein isolate separately and in combination form (1:1 w:w ratio) were used as carriers. Based on the particle size, zeta potential, and encapsulation efficiency tests, the best carriers were soybean protein isolate that used as a carrier for encapsulation. Then, to investigate the effect of rosemary extract to increase the shelf life of beef meat, 5 treatments including control, rosemary extract with concentrations of 800 ppm and 1,600 ppm, and nano‐capsulation form of it with 800 ppm and 1,600 ppm concentrations were selected and they were periodically evaluated for chemical and microbial analysis (peroxide value, Thiobarbituric acid, color index, pH, and total viable count). The results showed that rosemary extract has an antimicrobial and antioxidant properties which could increasingly delay microbial spoilage and lipid oxidation of beef meat fillets, nano‐capsulation form of rosemary could increase these qualities. The best results were observed in nano‐capsulation of rosemary extract with 1,600 ppm (p < .05) as well as increased the shelf life of fillets till 21st day. Therefore, it seems that encapsulated rosemary extract could be used as a natural preservative in beef meat and meat products.
Pharmacokinetics and metabolism of icaritin in rats by UPLC‐MS/MS
Authors: Huang Zhen‐Wu , Yang Yue‐Xin , Huang Ling‐He , Zhang Shuang‐Qing 
Published: November 2019

AbstractIcaritin (ICT) has distinct bioactivities, especially known for its beneficial effects on bone‐related degenerative disorders; however, its pharmacokinetic properties remain unknown. A novel developed UPLC‐MS/MS method for the determination of ICT and its main metabolite glucuronidated icaritin (GICT) was firstly applied to pharmacokinetic and metabolism studies of ICT in female rats, which were intraperitoneally given 40 mg/kg ICT. Following the protein precipitation of plasma samples with acetonitrile, ICT and GICT were separated on a C18 column using gradient elution mode and quantified in the multiple reaction monitoring mode. The linearities were acceptable for ICT (r = 0.9960) and GICT (r = 0.9968), and the lower limit of quantification values was 0.5 and 5 ng/ml, respectively. The accuracy fell in the range of 92.0%–103.1% and precisions were within 9.5%. Good linearity, accuracy, precision, and recovery were achieved for the UPLC‐MS/MS method. ICT was predominantly and rapidly biotransformed to GICT which was slowly eliminated in vivo with a terminal half‐life value of 4.51 hr. Pharmacokinetics of pure ICT eliminated biotransformation interference of Epimedium extract and disclosed genuine pharmacokinetic manner of ICT, as well as firstly elucidated low concentration and bioavailability of ICT in rat plasma.
A flexible and nearly optimal sequential testing approach to randomized testing: QUICK‐STOP
Authors: Hecker Julian , Ruczinski Ingo , Cho Michael H. , Silverman Edwin K. , Coull Brent , Lange Christoph 
Published: November 2019

AbstractIn the analysis of current life science datasets, we often encounter scenarios in which the application of asymptotic theory to hypothesis testing can be problematic. Besides improved asymptotic results, permutation/simulation‐based tests are a general approach to address this issue. However, these randomized tests can impose a massive computational burden, for example, in scenarios in which large numbers of statistical tests are computed, and the specified significance level is very small. Stopping rules aim to assess significance with the smallest possible number of draws while controlling the probabilities of errors due to statistical uncertainty. In this communication, we derive a general stopping rule, QUICK‐STOP, based on the sequential testing theory that is easy to implement, controls the error probabilities rigorously, and is nearly optimal in terms of expected draws. In a simulation study, we show that our approach outperforms current stopping approaches for general randomized tests by factor 10 and does not impose an additional computational burden. We illustrate our approach by applying our stopping rule to a single‐variant analysis of a whole‐genome sequencing study for lung function.
Impact of coal composition and pore structure on gas adsorption: a study based on a synchrotron radiation facility
Authors: Sun Yingfeng , Zhao Yixin , Yuan Liang 
Published: November 2019

AbstractA better knowledge about the impact of coal composition and pore structure on gas adsorption is of great significance for coalbed methane exploration and uneconomic coalbed CO2 storage. Coal is a porous medium with complex organic components, and most pores in coal are nanopores that have a complex geometrical morphology. As a result, it is significantly necessary to investigate the impact of coal composition and pore structure on gas adsorption based on coal 3D nanopore structure. Synchrotron radiation nano‐computed tomography (CT) was applied to acquire 3D coal nanopore structure and synchrotron radiation small‐angle X‐ray scattering (SAXS) was used to obtain the pore surface fractal dimension. The coal with higher pore surface fractal dimension presents higher Langmuir volume. Based on the 3D nanopore structure acquired by synchrotron radiation nano‐CT, gas adsorption capacity was characterized by the adsorbed gas amount on unit pore surface area. It was found that gas adsorption capacity depends on the coal composition. There is a negative correlation between gas adsorption capacity and ash content and oxygen‐containing groups, and a positive correlation between gas adsorption capacity and vitrinite contents. Hysteresis between desorption and adsorption isotherms is dependent upon the ratio of throat number to pore number, and the hysteresis becomes more significant when the ratio is larger. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.
Evaluating soil moisture estimation from ground‐penetrating radar hyperbola fitting with respect to a systematic time‐domain reflectometry data collection in a boreal podzolic agricultural field
Authors: Illawathure Chameera , Parkin Gary , Lambot Sébastien , Galagedara Lakshman 
Published: November 2019

AbstractThe upper 30 cm of the soil profile, which hosts the majority of the root biomass, can be considered as the shallow agricultural root zone of most temperate crops. The electromagnetic wave velocity in the soil obtained from reflection hyperbolas in ground‐penetrating radar (GPR) data can be used to estimate soil moisture (SM). Finding shallow hyperbolas in a radargram and minimizing the subjective error associated with the hyperbola fitting are the main challenges in this approach. Nevertheless, we were motivated by the recent improvements of hyperbola fitting algorithms, which can reduce the subjective error and processing time. To overcome the difficulty of finding very shallow hyperbolas, we applied the hyperbola fitting method to reflections ranging from 27‐ to 50‐cm depth using a 500‐MHz centre‐frequency GPR and compared the estimated moisture with vertically installed, 30‐cm‐long time‐domain reflectometry (TDR) sensors. We also compared TDR and GPR sample areas in a 2‐D plane using different GPR survey types and different hyperbola depths. SM measured with TDR and GPR were not significantly different according to Mann–Whitney's test. Our analyses showed that a root mean square error of 0.03 m3m−3was found between the two methods. In conclusion, the proposed method might be suitable to estimate SM with an acceptable accuracy within the root zone if the soil profile is fairly uniform within the application depth range.
What drives the adoption of mobile payment? A Malaysian perspective
Authors: Moorthy Krishna , Chun T'ing Loh , Chea Yee Kwong , Wen Huey Ang , Joe In Lee , Chyi Feng Poon , Jia Yi Tan 
Published: November 2019

AbstractThe purpose of this study is to examine the antecedents of behavioural intention to adopt mobile payment among working adults in Malaysia. The variables of the unified theory of acceptance and use of technology 2 (UTAUT2) with perceived security were adopted as a theoretical base. The gathered data through a questionnaire were examined by using multiple linear regression (MLR) analysis. The study revealed that performance expectancy, facilitating conditions, hedonic motivation, and perceived security are significant in mobile payment adoption. However, effort expectancy and social influence are not significant. The findings of this study contributed to a simple UTAUT2 model with perceived security as an additional construct in explaining the adoption intention of mobile payment. The findings of this study are applicable to the mobile payment service providers in Malaysia to improve their mobile payment quality by improving the facilitating conditions.
Bisphenol A triggers the malignancy of acute myeloid leukemia cells via regulation of IL‐4 and IL‐6
Authors: Zhang Suwei , Li Jiazhen , Fan Jingru , Wu Xianheng 
Published: November 2019

AbstractAcute myeloid leukemia (AML) is a cancer of hematopoietic stem cells with a rapid progression. The progression of AML can be regulated by estrogenic signals. Our present data showed that an industrial endocrine‐disrupting chemical, bisphenol A (BPA), can promote the proliferation of AML cells and decrease their sensitivity to daunorubicin and cytarabine treatment. Among the tested cytokines, BPA treatment can decrease the expression of interleukin‐4 (IL‐4) while increasing the expression of IL‐6. Overexpression of IL‐4 or neutralization antibody of IL‐6 (anti‐IL‐6) can attenuate BPA‐induced proliferation of AML cells and reverse BPA‐suppressed chemosensitivity. Furthermore, activation of nuclear factor kappa B is essential for BPA‐induced upregulation of IL‐6 in AML cells. As to IL‐4, BPA can increase the expression of NFAT1 to inhibit its transcription. Collectively, our data showed that BPA can trigger the malignancy of AML cells via regulation of IL‐4 and IL‐6.
The modulatory effect of triclosan on the reversion of the activated phenotype of LX‐2 hepatic stellate cells
Authors: Miranda Juliana F. , Scarinci Letícia D. , Ramos Letícia F. , Silva Caio M. , Gonçalves Letícia R. , de Morais Priscila F. , Malaspina Osmar , Moraes Karen C. M. 
Published: November 2019

AbstractHepatic diseases leading to fibrosis affect millions of individuals worldwide and are a major public health challenge. Although, there have been many advances in understanding hepatic fibrogenesis, an effective therapy remains elusive. Studies focus primarily on activation of the hepatic stellate cells (HSCs), the principal fibrogenic cells in the liver; however, fewer numbers of studies have examined molecular mechanisms that deactivate HSC, controlling the profibrogenic phenotype. In the present study, we evaluated cellular and molecular actions of the chemical triclosan (TCS) in reverting activated HSCs to a quiesced phenotype. We demonstrated that the inhibition of the enzyme fatty acid synthase by TCS in activated HSCs promotes survival of the cells and triggers cellular and molecular changes that promote cellular phenotypic reversion, offering potentially new therapeutic directions.
Neuroprotective effects of mitochondria‐targeted curcumin against rotenone‐induced oxidative damage in cerebellum of mice
Authors: Hasan Whidul , Kori Rajesh Kumar , Jain Juli , Yadav Rajesh Singh , Jat Deepali 
Published: November 2019

AbstractThe present study investigated the protective effect of curcumin and mitochondrial‐targeted curcumin (MTC) in rotenone‐induced cerebellar toxicity in mice. Treatment of rotenone in mice significantly shortened the stride length for both forelimb and hind‐limb and increased fore‐paws and hind‐limb base width. Co‐treatment of curcumin and MTC with rotenone improved the walking pattern. A significant increase in lipid peroxidation, nitric oxide and decreased activity of AChE, reduced glutathione, superoxide dismutase and catalase were observed in rotenone‐treated mice while co‐treatment of curcumin and MTC with rotenone significantly increased AChE activity and protected against rotenone‐induced oxidative damage. Rotenone exposed mice showed irregular, damaged Purkinje cells and perineuronal vacuolation while co‐treatment of curcumin and MTC with rotenone protected against rotenone‐induced cellular damage in these cells. The result exhibits that both curcumin and MTC showed protective effects against rotenone‐induced cerebellar toxicity in mice and MTC is more effective than curcumin.
Mitochondriotropic action and DNA protection: Interactions between phenolic acids and enzymes
Authors: de Abreu Tatiane Silva , Braga Mariana Aparecida , Simão Anderson Assaid , Trento Marcus Vinicius Cardoso , Eleutério Mateus Willian de Faria , Silva Pereira Luciana Lopes , da Cunha Elaine Fontes Ferreira , Marcussi Silvana 
Published: November 2019

AbstractThe protective action of caffeic (CA) and syringic (SA) acids on the genotoxicity exercised by snake venoms was investigated in this study. Molecular interactions between phenolic acids and the enzyme succinate dehydrogenase were also explored. In the electrophoresis assay, SA did not inhibit the genotoxicity induced by the venom. However, CA partially inhibited DNA degradation. In the comet assay, SA and CA exerted an inhibitory effect on the venom‐induced fragmentation. Succinate dehydrogenase presented, in computational analyzes, favorable energies to the molecular bond to both the malonic acid and the phenolic compounds evaluated. In the enzymatic activity assays, SA inhibited succinate dehydrogenase and interfered in the interaction of malonic acid. Meanwhile, CA potentiated the inhibition exerted by the malonic acid. The results suggest transient interactions between toxins present in venoms and phenolic acids, mainly by hydrogen interactions, which corroborate with the data from previous works.
Hope, optimism, self‐efficacy, and posttraumatic stress disorder: A meta‐analytic review of the protective effects of positive expectancies
Authors: Gallagher Matthew W. , Long Laura J. , Phillips Colleen A. 
Published: November 2019

AbstractObjectiveThe present meta‐analysis consolidated research examining how positive expectancies (e.g., hope, self‐efficacy, and optimism) may protect against the development of posttraumatic stress disorder (PTSD).MethodArticles were identified by searching PILOTS, PsycINFO, PubMed, and ProQuest Dissertations and Theses databases.ResultsAggregated results from 154 studies indicated that positive expectancies were associated with lower levels of PTSD symptoms. This relationship was stronger for coping‐specific self‐efficacy (k = 38,r = −.49; −.54 to −.43) and hope (k = 20,r = −.34; −.39 to −.28) compared with general self‐efficacy (k = 45,r = −.25; −.30 to −.20) and optimism (k = 59,r = −.29; −.33 to −.25) when examining cross‐sectional studies, and results were consistent in prospective studies. Age and gender did not moderate the cross‐sectional relationships.ConclusionsThese findings indicate that positive expectancies predict post‐trauma resilience. Future research should identify moderators and examine positive expectancies as mechanisms of change in therapy.
Scanning electron microscopy and energy‐dispersive X‐ray spectroscopy analysis of electrochemically etched graphite tips created from pencil lead
Authors: Sobola Dinara , Kaspar Pavel , Tofel Pavel , Holcman Vladimír 
Published: November 2019

AbstractModern day pencil lead is a material of many possibilities. Manufacture process is fast, easy, and well established, yet the full potential of its use still remains to be uncovered. Graphite content ratio to binding clays determines basic properties of the lead like its toughness and color, but more interesting qualities like conductivity and reactivity as well. Properly employed electrochemical etching with a bubble membrane creates sharp and smooth graphite tips, which can be, given enough graphite content, used as probes in several measurement techniques. Observing and adjusting the tip creation process and the results for use in further research are the objectives of this paper.