bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Predictive Correlation for Dynamic Viscosity of Fatty Acid Methyl Esters and Biodiesel
Authors: Roosta Aliakbar , Bardool Roghayeh 
Published: June 2019

AbstractThe viscosity of biodiesel, which is a mixture of fatty acid methyl esters (FAME), is an important physical property in the injection and efficient combustion. In this study, a simple correlation, with only one adjustable parameter, is proposed for predicting the viscosity of FAME and their mixtures (biodiesel) as a function of temperature. First, the adjustable parameter of the correlation is calculated for various FAME. The average absolute relative deviation (AARD) is obtained to be 0.97% for 226 data points. Second, the adjustable parameter of FAME is connected to the number of carbon atoms and the number of double bonds to build a predictive correlation for the calculation of viscosity. The AARD for 226 data points is obtained to be 2.28%. Third, the proposed model is employed to predict the viscosity of biodiesel without introducing any new adjustable parameter. To predict the viscosity of biodiesel, the average of the adjustable parameter is applied to the correlation. The AARD of 2.96% is obtained for 185 data points comprised of 23 different biodiesels. To better understand the ability of the correlation in the estimation of the viscosity of biodiesel and FAME, a comparison is made between the present correlation and a number of correlations available in the literature.
A redox poly(ionic liquid) hydrogel: Facile method of synthesis and electrochemical sensing
Authors: Feng Xu , Yi Jingtu , Zhang Wenxia , Niu Yanhui , Xu Lan 
Published: June 2019

ABSTRACTIn this article, a redox‐responsive poly(ionic liquid) (redox‐PIL) hydrogel Poly(1‐vinyl‐3‐propionate imidazole phenothiazine sulfonic acid)‐chitosan [Poly(VPI+PTZ‐(CH2)3SO3−)‐CS] was produced by using chitosan (CS) crosslinking with redox‐PIL Poly(1‐vinyl‐3‐propionate imidazole phenothiazine sulfonic acid [Poly(VPI+PTZ‐(CH2)3SO3−)]. The incorporation of redox‐active counter anions 3‐(phenothiazine‐10‐yl) propane 1‐sulfonic acid anions (PTZ‐(CH2)3SO3−) into cationic PIL‐polyimidazole rendered Poly(VPI+PTZ‐(CH2)3SO3−) with electron catalytic ability, ionic conductivity, and electron conductivity. Poly(VPI+PTZ‐(CH2)3SO3−)‐CS combines the properties of hydrogel and redox‐PIL, thus offering intrinsic porous conducting frameworks and promoting the transport of charges, ions, and molecules, leading hydrogel with excellent electrochemical properties. The crosslinking occurrence of Poly(VPI+PTZ‐(CH2)3SO3−) and CS resulting from the synthetic process of hydrogel was verified by differential scanning calorimetry and thermogravimetric analysis. A three‐dimensional polymer network hydrogel with good biocompatibility and permeability was formed after crosslinking. In addition, only 64% weight loss within 600 °C was observed in Poly(VPI+PTZ‐(CH2)3SO3−)‐CS representing its thermally stable performance. When used as an electrochemical sensor, the hydrogel‐modified gold electrode improved the electrocatalytic oxidation of cysteine. Differential pulse voltammetry results indicated that the detection range was from 5 × 10−8 to 5 × 10−3 M and the limit of detection was 6.64 × 10−8 M. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 48051.
Interaction of small molecules with polynucleotide repeats and frameshift site RNA
Authors: Nemr Mohamed T. M. , Yousif Mahmoud N. M. , Barciszewski Jan 
Published: June 2019

AbstractThis mini‐review describes the interaction between small molecules and RNA, in addition to its application either in treating RNA‐associated diseases or detecting target molecules. In the case of RNA‐associated disease treatment, the designed small molecules interact with RNA sites, forming adducts and providing successful therapeutic strategies over oligonucleotides. On the other hand, synthetically designed RNA moieties (aptamers) interact with target molecules like toxins, drugs, hormones; these interactions are useful in the detection, quantification or separation of these target moieties.
Cause‐Specific Mortality in Gout: Novel Findings of Elevated Risk of Non–Cardiovascular‐Related Deaths
Authors: Vargas‐Santos Ana Beatriz , Neogi Tuhina , da Rocha Castelar‐Pinheiro Geraldo , Kapetanovic Meliha C. , Turkiewicz Aleksandra 
Published: June 2019

ObjectiveTo examine cause‐specific mortality beyond cardiovascular diseases (CVDs) in patients with gout compared to the general population.MethodsWe included all residents of Skåne (Sweden) age ≥18 years in the year 2002. Using the Skåne Healthcare Register, we identified subjects with a new diagnosis of gout (2003–2013) and matched each person with gout with 10 comparators free of gout, by age and sex. We used information on the underlying cause of death from the Swedish Cause of Death Register (through December 31, 2014) to estimate hazard ratios (HRs, with 95% confidence intervals [95% CIs]) of mortality for specific causes of death in a multi‐state Cox model, with adjustment for potential confounders.ResultsAmong 832,258 persons, 19,497 had a new diagnosis of gout (32% women) and were matched with 194,947 comparators. Subjects with gout had higher prevalence of chronic kidney disease, metabolic disease, and CVD. Gout was associated with 17% increased hazard of all‐cause mortality overall (HR 1.17 [95% CI 1.14–1.21]), 23% in women (HR 1.23 [95% CI 1.17–1.30]), and 15% in men (HR 1.15 [95% CI 1.10–1.19]). In terms of cause‐specific mortality, the strongest associations were seen in the relationship of gout to the risk of death due to renal disease (HR 1.78 [95% CI 1.34–2.35]), diseases of the digestive system (HR 1.56 [95% 1.34–1.83]), CVD (HR 1.27 [95% CI 1.22–1.33]), infections (HR 1.20 [95% CI 1.06–1.35]), and dementia (HR 0.83 [95% CI 0.72–0.97]).ConclusionSeveral non‐CV causes of mortality are increased in persons with gout, emphasizing the need for improved management of comorbidities.
Estimating rainfall using machine learning strategies based on weather radar data
Authors: T. Aditya Sai Srinivas , Somula Ramasubbareddy , K. Govinda , Saxena Akriti , A. Pramod Reddy 
Published: June 2019

SummaryThe precision of forecasting rainfall is vital owing to current world climate change. As deterministic weather forecasting models are usually time consuming, it becomes challenging to efficiently use this large volume of data in hand. Machine learning methods are already proven to be good replacement for traditional deterministic approaches in weather prediction. This paper presents an approach using recurrent neural networks (RNN) and long short term memory (LSTM) techniques to improve the rainfall forecast performance. This will be compared with the random forest classifier and XGBoost as well. The goal is to predict a set of hourly rainfall levels from sequences of weather radar measurements. Python libraries are utilized to forecast the time series data. The training set comprises of data from first 20 days of every month and the inference set data from the continuing days. This makes sure that both train and inference sets are more or less independent. The idea resides in implementing an end‐to‐end learning framework.
Jamming detection approach based on fuzzy assisted multicriteria decision‐making system for wireless sensor networks
Authors: K.P. Vijayakumar , P. Ganeshkumar 
Published: June 2019

SummaryThe jamming detection approach based on fuzzy assisted multicriteria decision‐making system (JDA) is proposed to detect the presence of jamming in downstream communication for Cluster based Wireless Sensor Network (CWSN). The proposed approach is deployed in cluster head (CH). The JDA functions in two aspects: First, the CH periodically measures the jamming detection metrics namely Packet Delivery Ratio (PDR) and Received Signal Strength Indicator (RSSI) of every node in the cluster to determine the behavior of the sensor nodes. In order to determine the behavior of members in the cluster, the CH compares the measured PDR with the PDR threshold. If the measured PDR is lesser than the PDR threshold, then CH applies the TOPSIS method on the PDR and RSSI metrics to determine the presence of jamming. These metrics are considered as the criteria and the nodes or the members are considered to be the alternatives. Next, the fuzzy logic is applied on the results obtained from the TOPSIS method to optimize the jamming detection metrics and identify the presence of jamming accurately. The proposed jamming detection approach detects well and arrives at 99.6% jamming detection rate as shown in simulation.
Filling in the gaps in survival analysis: using field data to infer plant responses to environmental stressors
Authors: Tomasek Bradley J. , Burghardt Liana T. , Shriver Robert K. 
Published: June 2019

AbstractElucidating how organismal survival depends on the environment is a core component of ecological and evolutionary research. To reconcile high‐frequency covariates with lower‐frequency demographic censuses, many statistical tools involve aggregating environmental conditions over long periods, potentially obscuring the importance of fluctuating conditions in driving mortality. Here, we introduce a flexible model designed to infer how survival probabilities depend on changing environmental covariates. Specifically, the model (1) quantifies effects of environmental covariates at a higher frequency than the census intervals, and (2) allows partitioning of environmental drivers of individual survival into acute (short‐term) and chronic (accumulated) effects. By applying our method to a long‐term observational data set of eight annual plant species, we show we can accurately infer daily survival probabilities as temperature and moisture levels change. Next, we show that a species’ water use efficiency, known to mediate annual plant population dynamics, is positively correlated with the importance of “chronic stress” inferred by the model. This suggests that model parameters can reflect underlying physiological mechanisms. This method is also applicable to other binary responses (hatching, phenology) or systems (insects, nestlings). Once known, environmental sensitivities can be used for ecological forecasting even when the frequency or variability of environments are changing.
Cs3Na(H2C3N3O3)4·3H2O: A Mixed Alkali‐Metal Hydroisocyanurate Nonlinear Optical Material Containing π‐Conjugated Six‐Membered‐Ring Units
Authors: Meng Xianghe , Liang Fei , Tang Jian , Kang Kaijin , Huang Qian , Yin Wenlong , Lin Zheshuai , Xia Mingjun 
Published: June 2019

AbstractInvited for the cover of this issue are members of the groups of Dr. Mingjun Xia, Xianghe Meng, Fei Liang, and Prof. Zheshuai Lin from the Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, as well as the group of Dr. Wenlong Yin from the Institute of Chemical Materials, China Academy of Engineering Physics, Mianyang, and Qian Huang from the Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China. The cover picture shows the synthesis of a new layered hydroisocyanurate salt –Cs3Na(H2C3N3O3)4·3H2O– with second‐harmonic generation response.
Evaluating the rancidity and quality of discarded oils in fast food restaurants
Authors: Esfarjani Fatemeh , Khoshtinat Khadijeh , Zargaraan Aziz , Mohammadi‐Nasrabadi Fatemeh , Salmani Yeganeh , Saghafi Zahra , Hosseini Hedayat , Bahmaei Manochehr 
Published: June 2019

AbstractThis cross‐sectional study attempts to determine the rancidity and quality of discarded oils in fast food restaurants. Samples of the discarded frying oils were collected randomly from 50 fast food restaurants in Tehran, Iran. Their physicochemical properties were assessed and compared to the standard values. The means (±SD) of the physicochemical indicators of the rancidity in the discarded oils were as follows: peroxide value, 3.06 (0.51) (mEq/kg); free fatty acids content, 1.52 (2.26) (%); p‐anisidine value, 57.63 (4.02) (mEq/kg); total oxidation value, 64.53 (4.15); total polar compounds (TPC), 20.19 (1.02) (%); viscosity, 107.87 (2.35) (cp); and red color, 9.64 (0.84). Positive correlations were found between the TPC, viscosity, and red color (p ≤ 0.01) of the oil samples. The majority of discarded oil from fast food restaurants were overdegraded containing hazardous secondary oxidative products, and also, the consumption of nonstandard frying oil has increased in fast food restaurants. Policymakers should develop guidelines to determine whether and when frying oils should be discarded and consider the consumption of overdegraded oils as a public health hazard.
Quantitative phase imaging of cells in a flow cytometry arrangement utilizing Michelson interferometer‐based off‐axis digital holographic microscopy
Authors: Min Junwei , Yao Baoli , Trendafilova Veselina , Ketelhut Steffi , Kastl Lena , Greve Burkhard , Kemper Björn 
Published: June 2019

AbstractWe combined Michelson‐interferometer‐based off‐axis digital holographic microscopy (DHM) with a common flow cytometry (FCM) arrangement. Utilizing object recognition procedures and holographic autofocusing during the numerical reconstruction of the acquired off‐axis holograms, sharply focused quantitative phase images of suspended cells in flow were retrieved without labeling, from which biophysical cellular features of distinct cells, such as cell radius, refractive index and dry mass, can be subsequently retrieved in an automated manner. The performance of the proposed concept was first characterized by investigations on microspheres that were utilized as test standards. Then, we analyzed two types of pancreatic tumor cells with different morphology to further verify the applicability of the proposed method for quantitative live cell imaging. The retrieved biophysical datasets from cells in flow are found in good agreement with results from comparative investigations with previously developed DHM methods under static conditions, which demonstrates the effectiveness and reliability of our approach. Our results contribute to the establishment of DHM in imaging FCM and prospect to broaden the application spectrum of FCM by providing complementary quantitative imaging as well as additional biophysical cell parameters which are not accessible in current high‐throughput FCM measurements.
Mendelian Randomization Analysis Reveals a Causal Influence of Circulating Sclerostin Levels on Bone Mineral Density and Fractures
Authors: Zheng Jie , Maerz Winfried , Gergei Ingrid , Kleber Marcus , Drechsler Christiane , Wanner Christoph , Brandenburg Vincent , Reppe Sjur , Gautvik Kaare M , Medina-Gomez Carolina , Shevroja Enisa , Gilly Arthur , Park Young-Chan , Dedoussis George , Zeggini Eleftheria , Lorentzon Mattias , Henning Petra , Lerner Ulf H , Nilsson Karin H , Movérare-Skrtic Sofia , Baird Denis , Elsworth Benjamin , Falk Louise , Groom Alix , Capellini Terence D , Grundberg Elin , Nethander Maria , Ohlsson Claes , Davey Smith George , Tobias Jonathan H 
Published: June 2019

ABSTRACT
In bone, sclerostin is mainly osteocyte-derived and plays an important local role in adaptive responses to mechanical loading. Whether circulating levels of sclerostin also play a functional role is currently unclear, which we aimed to examine by two-sample Mendelian randomization (MR). A genetic instrument for circulating sclerostin, derived from a genomewide association study (GWAS) meta-analysis of serum sclerostin in 10,584 European-descent individuals, was examined in relation to femoral neck bone mineral density (BMD; n = 32,744) in GEFOS and estimated bone mineral density (eBMD) by heel ultrasound (n = 426,824) and fracture risk (n = 426,795) in UK Biobank. Our GWAS identified two novel serum sclerostin loci, B4GALNT3 (standard deviation [SD]) change in sclerostin per A allele (β = 0.20, p = 4.6 × 10−49) and GALNT1 (β  = 0.11 per G allele, p = 4.4 × 10−11). B4GALNT3 is an N-acetyl-galactosaminyltransferase, adding a terminal LacdiNAc disaccharide to target glycocoproteins, found to be predominantly expressed in kidney, whereas GALNT1 is an enzyme causing mucin-type O-linked glycosylation. Using these two single-nucleotide polymorphisms (SNPs) as genetic instruments, MR revealed an inverse causal relationship between serum sclerostin and femoral neck BMD (β = –0.12, 95% confidence interval [CI] –0.20 to –0.05) and eBMD (β = –0.12, 95% CI –0.14 to –0.10), and a positive relationship with fracture risk (β = 0.11, 95% CI 0.01 to 0.21). Colocalization analysis demonstrated common genetic signals within the B4GALNT3 locus for higher sclerostin, lower eBMD, and greater B4GALNT3 expression in arterial tissue (probability &gt;99%). Our findings suggest that higher sclerostin levels are causally related to lower BMD and greater fracture risk. Hence, strategies for reducing circulating sclerostin, for example by targeting glycosylation enzymes as suggested by our GWAS results, may prove valuable in treating osteoporosis. © 2019 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals, Inc.
Nonreceptor tyrosine phosphatase 14 promotes proliferation and migration through regulating phosphorylation of YAP of Hippo signaling pathway in gastric cancer cells
Authors: Han Xu , Sun Tong , Hong Jia , Wei Rongrong , Dong Yingzi , Huang Di , Chen Jie , Ren Xiyun , Zhou Haibo , Tian Wenjing , Jia Yunhe 
Published: June 2019

AbstractBackgroundThe Hippo signaling pathway is associated with cell proliferation and organ size, and its transcriptional coactivator Yes‐associated protein (YAP), emerges as a crucial oncoprotein in multiple cancers. It was increasingly recognized that nonreceptor tyrosine phosphatase 14 (PTPN14) was relevant to the cell membrane and cytoskeleton, and had a critical effect on cell adhesion, growth, and actin cytoskeleton organization. Furthermore, PTPN14 was also certified to operate the translocation and phosphorylation of YAP. The present experiment was aimed to explore the impact of PTPN14 on gastric cancer (GC) cell proliferation and migration through regulating the phosphorylation of YAP.MethodsThe pEGFP‐N1‐PTPN14 recombinant plasmid was stably transfected into three differentiation degrees GC cell lines, including MKN‐28, SGC‐7901, and BGC‐823. Quantitative reverse transcription‐polymerase chain reaction and Western blot assay were performed to analyze the messenger RNA (mRNA) and protein levels. The proliferative and migratory capacity of cells was appraised by Cell Counting Kit‐8 assay and transwell chamber.ResultsCompared with the normal control and vector transfection group, the capacity of these three cell lines, which transfected with the pEGFP‐N1‐PTPN14 to proliferate and migrate in vitro was increased obviously (P < .05). There was no YAP mRNA detected in MKN‐28 cell line. Meanwhile, after transfecting the pEGFP‐N1‐PTPN14 plasmid, the mRNA level of YAP in SGC‐7901 was reduced (P < .05), and it was increased in BGC‐823 (P < .05). The YAP protein level in SGC‐7901 and BGC‐823 has no apparent transformation by transfecting, but the protein level of phospho‐Ser127 YAP and phospho‐Ser397 YAP is upregulated (P < .05).ConclusionPTPN14 could enhance the proliferative and migratory ability of GC cells by promoting the YAP phosphorylation in the Hippo signaling pathway. Taken together, PTPN14 might be involved in the occurrence and development of GC and become a molecular regulator to treat GC.
The effect of extracellular matrix on the differentiation of mouse embryonic stem cells
Authors: Ozdil Berrin , Güler Günnur , Acikgoz Eda , Kocaturk Duygu Calik , Aktug Huseyin 
Published: June 2019

AbstractEmbryonic stem cells (ESCs) are promising research materials to investigate cell fate determination since they have the capability to differentiate. Stem cell differentiation has been extensively studied with various microenvironment mimicking structures to modify cellular dynamics associated with the cell‐extracellular matrix (ECM) interactions and cell‐cell communications. In the current study, our aim was to determine the effect of microenvironmental proteins with different concentrations on the capacity and differentiation capability of mouse ESCs (mESCs), combining the biochemical assays, imaging techniques, Fourier transform infrared (FTIR) spectroscopy, and unsupervised multivariate analysis. Based on our data, coating the surface of mESCs with Matrigel, used as an acellular matrix substrate, resulted in morphological and biochemical changes. mESCs exhibited alterations in their phenotype after growing on the Matrigel‐coated surfaces, including their differentiation capacity, cell cycle phase pattern, membrane fluidity, and metabolic activities. In conclusion, mESCs can be stimulated physiologically, chemically, or mechanically to convert them a new phenotype. Thus, identification of ESCs’ behavior in the acellular microenvironment could be vital to elucidate the mechanism of diseases. It might also be promising to control the cell fate in the field of tissue engineering.
Melatonin attenuates inflammation‐related venous endothelial cells apoptosis through modulating the MST1–MIEF1 pathway
Authors: Lu Kai , Liu Xiaoping , Guo Wei 
Published: June 2019

AbstractChronic venous disease (CVD) is a prevalent and potentially debilitating condition that affects millions of individuals. An excessive endothelial inflammatory response is reportedly involved in the development of CVD. In this study, we explored the effect and mechanism of melatonin on venous endothelial damage induced by tumor necrosis factor α (TNF‐α). Our data demonstrated that inflammation injury triggered mitochondrial dysfunction, activated reactive oxygen species‐related oxidative damage, inhibited mitochondrial potential and ultimately initiated caspase‐involved cellular death. Interestingly, melatonin preserved inflammation‐attacked mitochondrial performance and thus increased cell survival under TNF‐α. Cellular experiments illustrated that inflammation injury promoted the levels of mammalian sterile 20‐like kinase 1 (MST1) and mitochondrial elongation factor 1 (MIEF1); active MST1–MIEF1 pathway disturbed mitochondria‐related energy production, leading to mitochondria‐induced cell damage. Interestingly, melatonin effectively suppressed MST1–MIEF1 axis and thus improved cell survival ratio under TNF‐α‐mediated inflammation injury. Reactivation of MST1–MIEF1 pathway attenuated melatonin‐related endothelial protective actions. Herein, our results illuminate that melatonin is an effective approach to attenuate inflammation‐related venous endothelial cell damage through handling the MST1–MIEF1 signaling pathway.
Pseudogene DUXAP10 can be used as a diagnostic and prognostic biomarker in human cancers
Authors: Yue Chaosen , Ren Yaoyao , Ge Hua , Yan Lijun , Xu Yingchen , Wang Guyan , Wu Jixiang 
Published: June 2019

AbstractThe pseudogene DUXAP10 is overexpressed in numerous types of human cancers. However, the diagnostic and prognostic value of DUXAP10 in cancers has yet to be characterized. PubMed, EMBASE, Web of Science, the Cancer Genome Atlas (TCGA), and Gene Expression Omnibus databases were comprehensively searched in this study. A total of 50 studies comprising 11,292 patients were collected in this integrated analysis. DUXAP10 was confirmed to be significantly overexpressed in various human cancers (p < .05). Summary receiver operating characteristic (SROC) curve analysis was implemented, which indicated that DUXAP10 was a potential diagnostic biomarker for human cancers (area under the curve [AUC] of SROC curve = 0.81 [0.77–0.84]; pooled sensitivity = 0.69 [0.62–0.75]; pooled specificity = 0.81 [0.73–0.87]). In addition, hazard ratios (HRs) with 95% confidence intervals (CIs) were obtained to evaluate the association of DUXAP10 expression with overall survival (OS) time of cancer patients. Outcomes of meta‐analysis suggested that upregulation of DUXAP10 was closely associated with poor OS (pooled HR = 1.11 [1.03–1.18]). Our study revealed that the pseudogene DUXAP10 was upregulated in multiple types of cancers and could be a potential biomarker with good diagnostic and prognostic value for human cancers.