bluuebunny/crossref_metadata_2025_split huggingface dataset:
Capillary electromigration methods for fatty acids determination in vegetable and marine oils: A review
Authors: Amorim Tatiane Lima , Duarte Lucas Mattos , da Silva Erick Mendes , de Oliveira Marcone Augusto Leal 
Published: November 2020

AbstractFatty acids determination is of paramount importance for quality control and suitable labeling of edible oils, required by regulatory agencies in several countries, and fast methods for this determination are worldly desired. This review article aimed to explore the available analytical methods for vegetable and marine oils analyses employing CE, which can be a straightforward and faster alternative than GC methods for fatty acid determination, considering some purposes. CE usually offers the possibility of a rapid analysis with a simple preparation of the sample, without requiring specific columns, which are inherent advantages of the technique. Instrumental conditions and the key points about fatty acids determination employing the technique are highlighted, and the main challenges and perspectives are also approached. Potential use of CE for edible oil analyses has been demonstrated for research and routine, which can be of interest for industries, regulatory agencies, and edible oil researchers. Therefore, we have explored the analytical approaches described in the last decades, intending to spread the interest of CE methods for fatty acid monitoring, label accuracy assessment, and food authenticity evaluation of edible oils.
Earthquake input and state estimation for buildings using absolute floor accelerations
Authors: Taher Sdiq Anwar , Li Jian , Fang Huazhen 
Published: November 2020

AbstractAfter earthquakes, structural response such as interstory drift is critical for accurate structural assessment for buildings. Typically, direct integration of absolute floor accelerations does not yield reliable floor displacements due to the long‐period drifts caused by noise, a widely acknowledged challenge. In this case, model‐based estimation strategies can be employed, which often require the ground input for better accuracy. However, in many cases the ground input may not be available for lack of instrumentation or even be unmeasurable due to soil‐structure interaction, hence needs to be estimated. Earthquake input estimation in this case is particularly challenging due to the lack of direct feedthrough term, leading to low observability of system input. As a result, input estimation is sensitive to modeling error, measurement noise, and incomplete measurements. To address this challenge, a hybrid strategy is proposed to estimate earthquake input, states, and acceleration response at unmeasured floors using limited absolute floor acceleration measurements. First, the earthquake input is estimated through a maximum a posteriori (MAP) estimation method, and then the estimated input is combined with Kalman filter to further estimate states and unmeasured responses. A comprehensive assessment was performed through a series of numerical and experimental tests including a comparative study with a popular online model‐based method. While the online method demonstrated certain sensitivity to modeling error and measurement noise due to weak observability, the proposed strategy showed robustness and accuracy under realistic and challenging conditions. Further verification is also performed using a real‐world building structure that experienced earthquake events.
Elucidating the role of lattice thermal conductivity in π‐phases of IV‐VI monochalcogenides for highly efficient thermoelectric performance
Authors: Rehman Sajid Ur , Butt Faheem K. , Tariq Zeeshan , Zhang Xiaoming , Zheng Jun , Naydenov Genadi , Ul Haq Bakhtiar , Li Chuanbo 
Published: November 2020

SummaryRecently, an emerging new class of cubic π‐polymorphs are being pursued as cost‐effective and relatively less toxic materials for thermoelectric, photovoltaic, and optoelectronic applications. Using density functional formalism and semiclassical Boltzmann transport theory, we have systematically studied the thermoelectric performance of π‐polymorphs. Hybrid functional (HSE03) is employed to realize accurate energy bandgaps, which helps to predict more accurate thermoelectric properties. The thermodynamic stability is observed by binding energies and phonon dispersions. It is observed that the Seebeck coefficients (S) are decreasing and electrical conductivities (σ) are increasing with carrier concentration. However, thermal conductivities are showing decreasing trends which lead to ultimately increased ZT. π‐GeSe shows a high power factor ~16.50 mW/mK2 among all π‐polymorphs. The figure of merit, ZT value, of π‐SnS, π‐SnSe, π‐GeS, and π‐GeSe are found to be 0.83, 1.20, 1.28, and 1.63 with optimal carrier concentration at 800 K. The present work highlights the potential of newly discovered cubic π‐polymorphs of chalcogenides for highly efficient thermoelectric materials.
Effects of vitamin D on neonatal sepsis: A systematic review and meta‐analysis
Authors: Workneh Bitew Zebenay , Worku Teshager , Alemu Ayinalem 
Published: November 2020

AbstractVitamin D deficiency is a major public health concern of pregnant women and neonates worldwide, affecting more than half of neonates. Studies report inconsistent and inconclusive effects of vitamin D treatment on neonatal sepsis. This study aimed to provide conclusive evidence regarding the effect of maternal and cord blood vitamin D levels on neonatal sepsis. Data were retrieved from the electronic database (Web of Science, Scopus, CINAHL [EBSCOhost], ProQuest, EMBASE [Ovid], PubMed, Emcare, MEDLINE [Ovid], and gray literature sources [World cat, Mednar, Google scholar and Google]). Joanna Briggs Institute quality assessment tool was utilized for quality assessment while analysis was performed using Open Meta‐analyst, Comprehensive Meta‐analysis version 3.3.070, and Review Manager version 5.3 software. From the 18 studies included in the study, the overall prevalence of vitamin D deficiency among neonates was 61% (95% CI: 44.3, 77.7); 79.4% (95% CI: 71.6, 87.3) of neonates with sepsis were vitamin D deficient as were 43.7% (23.4, 63.9) of sepsis‐free neonates. Neonates born from mothers with low vitamin D levels were at greater risk of developing neonatal sepsis with a weighed mean difference of −8.57 ng/ml (95% CI: −13.09, −4.05). Similarly, neonates with low cord vitamin D levels were at risk for neonatal sepsis with a mean difference of −8.78 ng/ml (95% CI:‐11.58, −5.99). The incidence of EONS in full‐term newborns was significantly associated with low maternal and cord blood vitamin D levels with weighed mean differences of −11.55ng/ml (95% CI: −17.63, −5.46) & −11.59 ng/ml (95% CI:‐16.65, −6.53), respectively. Low levels of vitamin D both in the cord blood and maternal blood were significantly associated with neonatal sepsis. Hence, vitamin D supplementation for pregnant women and newborns could decrease neonatal sepsis.
Estimation of stochastic volatility and option prices
Authors: Byun Suk Joon , Hyun Jung‐Soon , Sung Woon Jun 
Published: November 2020

AbstractThis study suggests a method to estimate a stochastic volatility model incorporating both information on high/low prices and the leverage effect. The likelihood‐based inference of Markov Chain Monte Carlo is conducted to estimate parameters and volatility. Simulation reveals that our method improves estimation and pricing options. We also find that the information on high/low prices is more likely to contribute to the improvement than the leverage effect.
The traders' rule and long‐term options
Authors: Kim Sol , Song In Jung 
Published: November 2020

AbstractStudies show that option traders prefer using the traders' rule to price short‐term options over more mathematically sophisticated models. This study uses Standard & Poor's 500 index option data to determine whether the traders' rule also outperforms mathematically more sophisticated models in pricing long‐term options. The results show that, while the traders' rule still enjoys smaller pricing errors for short‐term options, more mathematically sophisticated models perform better for long‐term options. This result may reflect the greater liquidity of short‐term options, which are far more actively traded than longer‐term options.
Hedging operating and financing risk with financial derivatives during the global financial crisis
Authors: Bae Sung C. , Kwon Taek Ho 
Published: November 2020

AbstractWe investigate whether firms properly protect values from sudden exchange rate changes using financial derivatives. Sampling Korean firms, we compare firms experiencing significant changes in exchange rate exposures to firms experiencing no such changes surrounding the global financial crisis. We find that the former outnumbers the latter, uses more derivatives for hedging, and has lower firm values. We further show that the lower firm values are more pronounced for firms hedging financing risk than firms hedging operating risk with derivatives, indicating more difficulty of hedging financing risk in the face of a sharp depreciation of local currency during the crisis.
Speed modulation of hippocampal theta frequency and amplitude predicts water maze learning
Authors: Young Calvin K. , Ruan Ming , McNaughton Neil 
Published: November 2020

AbstractTheta oscillations in the hippocampus have many behavioral correlates, with the magnitude and vigor of ongoing movement being the most salient. Many consider correlates of locomotion with hippocampal theta to be a confound in delineating theta contributions to cognitive processes. Theory and empirical experiments suggest theta‐movement relationships are important if spatial navigation is to support higher cognitive processes. In the current study, we tested if variations in speed modulation of hippocampal theta can predict spatial learning rates in the water maze. Using multi‐step regression, we find that the magnitude and robustness of hippocampal theta frequency versus speed scaling can predict water maze learning rates. Using a generalized linear model, we also demonstrate that speed and water maze learning are the best predictors of hippocampal theta frequency and amplitude. Our findings suggest movement‐speed correlations with hippocampal theta frequency may be actively used in spatial learning.
A prognostic risk model based on immune‐related genes predicts overall survival of patients with hepatocellular carcinoma
Authors: Pan Banglun , Liu Lin , Li Wei 
Published: November 2020

AbstractBackground and aimsHepatocellular carcinoma (HCC) is one of the most common heterogeneous tumors that occurs after chronic liver diseases and hepatitis virus infection. Immune‐related genes (IRGs) and their ligands regulate the homeostasis of tumor microenvironment, which is essential for the treatment of HCC and its prognosis. This study aimed to investigate the clinical value of IRGs in predicting the prognosis of HCC.MethodsWe downloaded RNA‐seq data and clinical information from TCGA database. Samples were randomly divided into training cohort and testing cohort. The “limma” R package was performed to identify differentially expressed IRGs (DEIRGs) between HCC group and normal group. Prognostic DEIRGs (PDEIRGs) were obtained by univariate Cox analysis. LASSO and multivariate Cox analysis were used, and a prognostic risk model was constructed. In order to better demonstrate the clinical value of our model in predicting overall survival rate, a nomogram was constructed. To further investigate the molecular mechanism of our model, gene set enrichment analysis (GSEA) was performed.ResultsCompared with the low‐risk group, the high‐risk group had a significantly worse prognosis. Moreover, our prognostic risk model can accurately stratify tumor grade and TNM stage. Importantly, in our model, not only immune checkpoint genes were well predicted, but also human leucocyte antigen‐I molecules were revealed. GSEA suggested that “MAPK signaling pathway,” “mTOR signaling pathway,” “NOD like receptor signaling pathway,” “Toll like receptor signaling pathway,” “VEGF signaling pathway,” “WNT signaling pathway” had significant correlations with the high‐risk group.ConclusionOverall, our study showed that our prognostic risk model can be used to assess prognosis of HCC, which may provide a certain basis for the survival rate of patients with HCC.
Experimental performance of cooling photovoltaic panels using geothermal energy in an arid climate
Authors: Kadhim Arwa Mahmood , Aljubury Issam Mohammed Ali 
Published: November 2020

AbstractIn this study, an experimental prototype was built to examine the use of an underground water tank as a heat exchange medium with the soil to reduce photovoltaic (PV) panel operation temperatures and simultaneously improve PV efficiency. Three PV systems were evaluated: a benchmark PV panel without cooling (panel A); a PV panel with water spray cooling (panel B); and a PV panel with evaporative cooling (panel C). The cooling techniques in modules (B) and (C) were used to investigate the effects of underground water on the performance of PV panels in arid conditions. Four cases were devised as follows: spray panel back cooling (I), spray front and back cooling (II), spray front and back cooling using an Arduino controller (III), and repeating case III with different water flow rates (IV). Readings were taken from 9:00 am to 4:00 pm from May to August. The experimental results showed that the use of underground water spray cooling led to reductions in the temperature of PV panel B, 14°C, 17.6°C, 18.8°C, and 22.7°C for cases I, II, III, and IV, respectively, when compared with the uncooled panel, and efficiency improved by 3.5%, 4.8%, 18%, and 23.1%, respectively.
Effect of sub‐cloud evaporation on precipitation in the Tianshan Mountains (Central Asia) under the influence of global warming
Authors: Chen Haiyan , Chen Yaning , Li Dalong , Li Weihong 
Published: November 2020

AbstractIt is crucial for accurately describing the precipitation patterns and their underlying mechanisms to optimise the hydro‐climatic model parameters and improve the accuracy of precipitation forecasting. Based on 212 precipitation samples collected during August 2015 to July 2016 in the mid‐mountain region of the Manasi River Basin in the northern slope of the Tianshan Mountains, we estimated the effect of sub‐cloud evaporation on precipitation, analysed the factors that influence the sub‐cloud evaporation, and modelled the response of sub‐cloud evaporation to global warming. The mean remaining raindrop mass fraction after evaporation (f) in this region is 94.39%. The mean deviation between d‐excess (Δd) of ground precipitation and raindrops under cloud is −4.22‰. The intensity of sub‐cloud evaporation is the highest in summer. There is a significant positive correlation between f and Δd (0.72‰/%). The relative humidity and diameter of raindrops were observed to have a direct influence on the intensity of sub‐cloud evaporation. The temperature was observed to influence the intensity of sub‐cloud evaporation indirectly by influencing the relative humidity and diameter of raindrops. Global warming will increase the intensity of sub‐cloud evaporation in the Tianshan Mountains, especially for small precipitation events.
Solution to the outstanding case of the spouse‐loving variant of the Oberwolfach problem with uniform cycle length
Authors: Shanmuga Vadivu Andiyappan , Panneerselvam Lakshmanan , Muthusamy Appu 
Published: November 2020

AbstractLet denote the complete graph of even order with a 1‐factor duplicated. The spouse‐loving variant of the Oberwolfach Problem, denoted , asks for the existence of a 2‐factorization of in which each 2‐factor consists of cycles of length , for all , such that . If , then the problem is denoted by . In this paper, we construct a solution to when is an odd integer. This completes the proof of the conjecture posed by Bolohan et al. In addition, we find a solution to when is an odd integer.
Association of social participation, perception of neighborhood social cohesion, and social media use with happiness: Evidence of trade‐off (JCOP‐20‐277)
Authors: Bekalu Mesfin A. , McCloud Rachel F. , Minsky Sara , Viswanath Kasisomayajula 
Published: November 2020

AbstractSocial participation and neighborhood social cohesion are positively associated with health and wellbeing. Given that in‐person social interactions have generally dwindled over the past several decades at least in Western countries and social media use has become more common, in this study, we examined whether and how social media use interacts with social participation and neighborhood social cohesion in influencing happiness. Data were gathered from a representative sample of adults in Massachusetts, USA. General linear model was used to estimate the main and interaction effects of social participation, perception of neighborhood social cohesion and social media use on happiness, controlling for sociodemographics, marital status, employment, and self‐rated health. Results indicated that both social participation and perception of neighborhood social cohesion were positively associated with happiness whereas social media use was not. However, there was a significant interaction effect of social media use and perception of neighborhood social cohesion on happiness. Compared with people with a high perception of neighborhood social cohesion, those with low perception were more likely to be happy as their social media use increased, suggesting that social media use may be helpful to promote happiness among people who perceive their neighborhoods as less supportive, trustworthy, and close‐knit.
Engaging critical methodologies in qualitative research methods with undergraduate psychology students
Authors: Fox Rachael , Nic Giolla Easpaig Bróna 
Published: November 2020

AbstractThis article describes the experiences of teaching undergraduate psychology students in an Australian context. The degree course the students take has no community or critical units, but it is one of very few in Australia that has a compulsory standalone unit in qualitative methods. While qualitative methods are by no means necessarily inherently critical or community focused, it has presented an opportunity to the teachers of the unit (the authors of this paper). The authors of this paper, who employ community critical methodologies in their research, aim to design teaching which is also grounded in such theory, wherever possible and despite significant limitations. Such teaching is informed by: challenging taken for granted assumptions; deconstruction and problem posing; making things uncomfortable; and relating differently. The paper describes a design of teaching where all the students undertake research projects exploring the research question: “what does psychology offer community?” Following a description of the methodologies and teaching practices, the authors reflect subjectively on their experiences working with the students, on opportunities which arose and on structural boundaries which appear to make community critical methodologies in university teaching very difficult.
Study of resilience and loneliness in youth (18–25 years old) during the COVID‐19 pandemic lockdown measures
Authors: Marchini Simone , Zaurino Elena , Bouziotis Jason , Brondino Natascia , Delvenne Véronique , Delhaye Marie 
Published: November 2020

AbstractThis study evaluated the risks and protective factors in mental health in 825 emerging adults aged from 18 to 25 years old in Belgium and in Italy. Resilience, loneliness and social, and family context were explored to determine their specific role in coping with the emotional distress that spread worldwide during the coronavirus disease 2019 (COVID‐19) pandemic. We conducted an online survey on the secured platform Research Electronic Data Capture©. Data were collected between April 7th and May 4th, 2020. The primary outcomes were the resilience scale for adults (RSA) and the University of California Los Angeles Loneliness Scale. The secondary outcomes included mental health status in terms of professional help seeking, use of psychotropic drugs, admission to a psychiatric department before and during lockdown measures. Responders were divided into three groups following the mental healthcare needs (MHCN) before and after the lockdown measures. The group who experienced an increase in MHCN represented almost 5% of the assessed youth. Statistically significant differences were found in means of RSA total score and RSA perception of self. This study enlightens the possibly traumatic impact of the COVID‐19 pandemic on at‐risk youth's mental health. Early detection and intervention should be structured in large‐scale disasters.
Cytoskeleton induced the changes of microvilli and mechanical properties in living cells by atomic force microscopy
Authors: Liu Xueyan , Wei Yuhui , Li Wei , Li Bin , Liu Lin 
Published: November 2020

AbstractThe cytoskeleton acts as a scaffold for membrane protrusion, such as microvilli. However, the relationship between the characteristics of microvilli and cytoskeleton remains poorly understood under the physiological state. To investigate the role of the cytoskeleton in regulating microvilli and cellular mechanical properties, atomic force microscopy (AFM) was used to detect the dynamic characteristics of microvillus morphology and elastic modulus of living HeLa cells. First, HeLa and MCF‐7 cell lines were stained with Fluor‐488‐phalloidin and microtubules antibody. Then, the microvilli morphology was analyzed by high‐resolution images of AFM in situ. Furthermore, changes in elastic modulus were investigated by the force curve of AFM. Fluorescence microscopy and AFM results revealed that destroyed microfilaments led to a smaller microvilli size, whereas the increase in the aggregation and number of microfilaments led to a larger microvilli size. The destruction and aggregation of microfilaments remarkably affected the mechanical properties of HeLa cells. Microtubule‐related drugs induced the change of microtubule, but we failed to note significant differences in microvilli morphology and mechanical properties of cells. In summary, our results unraveled the relationship between microfilaments and the structure of microvilli and Young's modulus in living HeLa cells, which would contribute to the further understanding of the physiological function of the cytoskeleton in vivo.
Selinexor, daratumumab, and dexamethasone in patients with relapsed or refractory multiple myeloma
Authors: Gasparetto Cristina , Lentzsch Suzanne , Schiller Gary , Callander Natalie , Tuchman Sascha , Chen Christine , White Darrell , Kotb Rami , Sutherland Heather , Sebag Michael , Baljevic Muhamed , Bensinger William , LeBlanc Richard , Venner Chris , Bahlis Nizar , Rossi Adriana , Biran Noa , Sheehan Heidi , Saint‐Martin Jean‐Richard , Van Domelen Dane , Kai Kazuharu , Shah Jatin , Shacham Sharon , Kauffman Michael , Lipe Brea 
Published: November 2020

AbstractWe assessed the safety, efficacy, maximum tolerated dose (MTD), and the recommended phase 2 dose (RP2D) of selinexor, a first in class oral selective inhibitor of nuclear export (100 mg once weekly [QW] or 60 mg twice weekly), in combination with daratumumab (16 mg/kg per label) and dexamethasone (40 mg QW) (SDd) in patients with relapsed refractory multiple myeloma (RRMM). Thirty‐four patients (median prior therapies, 3 [range, 2‐10]) were enrolled; MM was refractory to proteasome inhibitor (PI) in 85%, immunomodulatory agent (IMiD) in 76%, both in 74%, and daratumumab in 6% of patients. Two dose‐limiting toxicities (DLTs) were reported in the selinexor 60 mg twice‐weekly cohort with no DLTs in the 100 mg QW cohort, making 100 mg QW the MTD and RP2D. Common treatment‐related adverse events included thrombocytopenia (70.6%), nausea (70.6%), fatigue (61.8%), anemia (61.8%), and neutropenia (50.0%). Overall response rate was 73% and median progression‐free survival 12.5 months in daratumumab‐naïve patients. SDd was well tolerated and its promising efficacy suggests that further study of this PI‐ and IMiD‐free regimen in RRMM patients who had at least one prior line of therapy including a PI and an IMiD but whose disease is naïve to daratumumab is warranted.