bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sleep restriction does not potentiate nocebo‐induced changes in pain and cortical potentials
Authors: Ree Anbjørn , Nilsen Kristian Bernhard , Knardahl Stein , Sand Trond , Matre Dagfinn 
Published: August 2019

AbstractBackgroundThe increased pain sensitivity following reduced sleep may be related to changes in cortical processing of nociceptive stimuli. Expectations shape pain perception and can inhibit (placebo) or enhance (nocebo) pain. Sleep restriction appears to enhance placebo responses; however, whether sleep restriction also affects nocebo responses remains unknown. The aim of the present study was to determine whether sleep restriction facilitates nocebo‐induced changes in pain and pain‐evoked cortical potentials.MethodsIn an experimental study with a crossover design, the sensitivity to electrically induced pain was determined in 53 nurses under two sleep conditions, after habitual sleep and after two consecutive nights at work. Nocebo was induced by conditioning one‐third of the pain stimuli. Pain‐elicited cortical event‐related potentials were recorded by electroencephalography (EEG). Data were analysed both in the time domain (N2P2 amplitude) and in the time–frequency domain (ERP magnitude). Sleepiness and vigilance were also assessed.ResultsBoth nocebo alone and sleep restriction alone increased the sensitivity to electrically induced pain. However, no interaction effect was found. Moreover, the magnitude of the pain‐elicited responses increased after sleep restriction and decreased after nocebo expectation, suggesting that nocebo is probably not an underlying mechanism for the commonly observed hyperalgesia induced by sleep restriction.ConclusionsThe present work addresses whether sleep restriction, known to increase the sensitivity of the pain system, facilitates nocebo‐induced hyperalgesia. Our findings suggest that this is not the case, indicating that the increased sensitivity of the pain system following nocebo and sleep restriction are mediated by different cortical mechanisms.
Removal of phosphate and nitrate ions aqueous using strontium magnetic graphene oxide nanocomposite: Isotherms, kinetics, and thermodynamics studies
Authors: Sereshti Hassan , Zamiri Afsharian Elham , Esmaeili Bidhendi Mehdi , Rashidi Nodeh Hamid , Afzal Kamboh Muhhammad , Yilmaz Mustafa 
Published: August 2019

AbstractMagnetic Fe3O4 nanoparticle decorated graphene oxide (GO) was modified with strontium nanoparticles (MGO‐Sr) and applied for enhanced removal of phosphate and nitrate ions from river and sewage water samples. The nanocomposite's features were investigated using Fourier transform‐infrared spectrometry, field emission‐scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, and X‐ray diffraction. The effective parameters, adsorption efficiency, regeneration, and field application of MGO‐Sr were also studied. Adsorption isotherm and kinetic models were applied for evaluation of experimental adsorption process. The data was in well comply with Langmuir isotherm and pseudo‐second‐order comparing with other models. Langmuir maximum adsorption capacity was obtained equal to 238.09 mg/g for phosphate and 357.14 mg/g for nitrate. Van't Hoff thermodynamic predicted an exothermic nature for adsorption process followed by a physisorption mechanism. The prepared nanocomposite provided a high‐removal efficiency toward phosphate and nitrate ions in river and sewage water. Hence, it is applicable in water remediation process.
Optimization of a DI diesel engine to reduce emission and boost power by exergy and NLPQL method
Authors: Taghavifar Hadi , Anvari Simin 
Published: August 2019

AbstractThe design and manufacture of efficient diesel engines, which can convert the majority of fuel combustion into a mechanical rotation movement is still growing. Simultaneous investigation of optimum engine configuration and the second law of thermodynamics consideration can best achieve this goal. A baseline 1.8 Ford diesel engine is simulated via AVL Fire software and then the multiobjective nonlinear programming by quadratic Lagrangian method have been applied to find the global optimal design. Then for exergy analysis of the baseline and optimized engine characteristics, a FORTRAN developed code is used. Two basic optimization cases are detected for exergy assessment that are RunID41 (feasible design) and RunID35 (infeasible design) among 55 run points. It was determined that the optimum feasible solution should characterize with low inner wall diameter (Di) with wider half spray cone angle to avoid wall collision in order to stay in the constraint zone and feasible area. The results of exergy also indicates that RunID41 is fuel efficient since the fuel burnt exergy of three design of ID41, ID35, and baseline are 719.52, 694.77, and 643.07 J, respectively. It has also been pointed out that the feasible optimum gives the higher thermo‐mechanical exergy, work exergy, and total exergy, while the infeasible optimum yields a higher heat release rate exergy and chemical exergy as there are no restrictions of injection and combustion chamber geometry set by the designer.
Examination of heat transfer performance of a nonimaging hybrid compound parabolic collector in low latitude and cloudy region
Authors: Oloketuyi Idowu S. , Ajide Olufemi O. , Odesola Folorunsho I. , Oyewola Olanrewaju M. , Adaramola Muyiwa S. 
Published: August 2019

AbstractThis work investigates the characteristics of nonimaging hybrid compound parabolic collector (HCPC) for enhancement of heat transfer to the reactor of solar adsorption refrigeration system (SARS) in low latitude and cloudy region. A HCPC is simulated and developed to heat cylindrical reactor of SARS. The HCPC is used to heat the reactor with solar energy during high insolation while auxiliary heating system is used during low insolation. Simulation results show that the reactor adsorbent (activated carbon) is heated to average temperatures between 70 and 85°C when the solar radiance is between 350 and 450 W/m2. However, the experimental results are observed to be slightly deviated from the simulated results due to environmental factors, such as wind speed, cloud, and dust, which cannot be correctly predicted. It is inferred that HCPC is effective in heating SARS cylindrical reactor to start adsorption refrigeration process in low latitude and cloudy region.
Optimization and assessment of an off‐grid photovoltaic–diesel–battery hybrid sustainable energy system for remote residential applications
Authors: Shezan SK. A. 
Published: August 2019

AbstractDue to the increasing demand for electricity for the ecotourism areas like Malaysia, alternative energy sources are being required. In this research article, an investigation for the comprehensive off‐grid photovoltaic (PV)–diesel–battery hybrid alternative energy system design with an energy backup of a 5‐kW diesel generator is represented. From the simulation and optimization results, it can be observed that 38 kW hr/day load demand combined with 5‐kW peak load for 37 family units for an ecotourism areas of Malaysia can be fulfilled by establishing the proposed hybrid PV–diesel–battery energy system. It can also be observed from the optimization outcomes that the proposed hybrid renewable energy system (HRES) is the most economically feasible energy system and the levelized cost of energy (COE) is nearing U.S. $0.895/kW hr and net present cost (NPC) is U.S. $158,206, and the COE and NPC have been minimized according to the current market price. After collecting meteorological data, a complete simulation has been conducted with the other parameters to achieve an optimal solution of the PV–diesel–battery hybrid alternative energy system. The decrement of the CO2 emission can be compared to the existing results with the other conventional and HRESs. The simulation results from Hybrid Optimization Model for Electric Renewable software have been validated by using Photovoltaic System Tools (PVSYST) renewable energy platform. The analyzed energy system will be applicable where the meteorological conditions are the same.
Optimization of the cationizing condition in salt‐free reactive dyeing of cotton fabric with the pad‐irradiate‐pad‐steam process using response surface methodology
Authors: Yu Chengbing , Lu Yilin , Tao Kaixin , Xi Ziwei 
Published: August 2019

AbstractResponse surface methodology is widely used in the optimization of dyeing conditions. Herein, the color strength and dye fixation rate of the cotton fabric dyed by pad‐irradiate‐pad‐steam (PIPS) process were determined and compared to by conventional pad‐dry‐pad‐steam (PDPS) process. Then the response surface methodology and central composite design were used to optimize the cationizing conditions during the pad‐irradiation step of the process to obtain high color strength during the subsequent salt‐free reactive dyeing of the cotton fabric via a pad‐steam process. The obtained experimental data were fitted to the second‐order polynomial equation, and response surface plots and contour plots were used to identify the optimal cationizing condition, the 3‐chloro−2‐hydroxypropyltrimethylammonium chloride concentration of 104 g/L, the microwave irradiation power of 537 W, the treatment time of 6 min, and the molar ratio of sodium hydroxide to 3‐chloro‐2‐hydroxypropyltrimethylammonium chloride of 1.02. The results showed that the experimental color strength of the cotton fabrics was in close agreement with the value predicted by the model and the optimal cationizing condition was obtained precisely.
The Effect of Major Ions and Dissolved Organic Matter on Complexation and Toxicity of Dissolved Thallium to Daphnia magna
Authors: Nagel Andrew H. , Cuss Chad W. , Goss Greg G. , Shotyk William , Glover Chris N. 
Published: August 2019

Abstract
Thallium (Tl) is a trace element associated with base metal mining and processing, but little is known regarding how its toxicity is influenced by water chemistry. In the present study, the 48-h median lethal concentration (LC50) of Tl to Daphnia magna was determined in a standard laboratory water, and toxicity was reassessed under conditions of varying cation (Ca2+, K+, Na+), anion (Cl–, HCO–3), and dissolved organic matter (DOM) concentrations. The calculated 48-h LC50 of 1.86 mg Tl/L was consistent with previous work on Tl toxicity to D. magna. At the 48-h LC50 concentration, changes in water chemistry had no statistically significant effect on mortality, although there was a trend toward lower Tl toxicity with elevated water K+. Test waters containing 10 mM CaCl2 did not support control survival. The measurement of Tl complexation with DOM using asymmetric flow field flow fractionation confirmed the outcomes of biogeochemical speciation modeling: Tl speciation was relatively unaffected by water chemistry, and the majority of Tl remained in the ionic form across all treatments. These data indicate that Tl toxicity is largely independent of speciation, a property that will greatly simplify risk assessments for this metal in freshwaters. Environ Toxicol Chem 2019;38:2472–2479. © 2019 SETAC
Sex‐specific SNP‐SNP interaction analyses within topologically associated domains reveals ANGPT1 as a novel tumor suppressor gene for lung cancer
Authors: Yao Shi , Dong Shan‐Shan , Ding Jing‐Miao , Rong Yu , Zhang Yu‐Jie , Chen Hao , Chen Jia‐Bin , Chen Yi‐Xiao , Yan Han , Dai Zhijun , Guo Yan 
Published: August 2019

AbstractGenetic interaction has been recognized to be an important cause of the missing heritability. The topologically associating domain (TAD) is a self‐interacting genomic region, and the DNA sequences within a TAD physically interact with each other more frequently. Sex differences influence cancer susceptibility at the genetic level. Here, we performed both regular and sex‐specific genetic interaction analyses within TAD to identify susceptibility genes for lung cancer in 5204 lung cancer patients and 7389 controls. We found that one SNP pair, rs4262299‐rs1654701, was associated with lung cancer in women after multiple testing corrections (combined P = 8.52 × 10−9). Single‐SNP analyses did not detect significant association signals for these two SNPs. Both identified SNPs are located in the intron region of ANGPT1. We further found that 5% of nonsmall cell lung cancer patients have an alteration in ANGPT1, indicated the potential role of ANGPT1 in the neoplastic progression in lung cancer. The expression of ANGPT1 was significantly down‐regulated in patients in lung squamous cell carcinoma and lung adenocarcinoma. We checked the interaction effect on the ANGPT1 expression and lung cancer and found that the minor allele “G” of rs1654701 increased ANGPT1 gene expression and decreased lung cancer risk with the increased dosage of “A” of rs4262299, which consistent with the tumor suppressor function of ANGPT1. Survival analyses found that the high expression of ANGPT1 was individually associated with a higher survival probability in lung cancer patients. In summary, our results suggest that ANGPT1 may be a novel tumor suppressor gene for lung cancer.
Mesozoic Weideshan granitoid suite and its relationship to large‐scale gold mineralization in the Jiaodong Peninsula, China
Authors: Song Ming‐Chun , Zhou Jian‐Bo , Song Ying‐Xin , Wang Bin , Li Shi‐Yong , Li Jie , Wang Shan‐Shan 
Published: August 2019

The Jiaodong Peninsula in China underwent ultrahigh pressure (UHP) metamorphism in the Triassic and extensive magmatism in the Jurassic–Cretaceous, resulting in the formation of large‐scale gold deposits. This makes it an ideal site to study the destruction of the eastern North China Craton (NCC) as well as regional gold mineralization processes. The Weideshan granitoid suite is widely distributed in the Jiaodong Peninsula, with geochemical and isotopic data indicating that it formed through migmatization of crust‐derived silicic magma and mantle‐derived intermediate magma. This makes it different from the Jurassic Linglong suite, and the Cretaceous Guojialing and Laoshan suites in the Jiaodong Peninsula, although they have evolutionary continuity. U–Pb age estimates, from SHRIMP and LA‐ICP‐MS zircon dating, suggest that the Weideshan granitoid suite formed between 118.0 and 110.5 Ma, around the same time as the Jiaodong gold deposit, suggesting that the ore‐forming event was enabled during the stage of magmatic activity that formed the Weideshan suite, rather than during that which formed the Linglong or Guojialing suites. The initiation of Late Jurassic to Early Cretaceous magmatism reflects a regional switch from a collisional system with crustal thickening (compression) between the NCC and Yangtze Craton (YC) to lithospheric thinning (extension) during the subduction of the Pacific Plate. The upwelling of the Weideshan suite and the relevant extension structures that developed during this switching process provided favourable conditions for large‐scale gold mineralization.
The role of microglia in ischemic preconditioning
Authors: McDonough Ashley , Weinstein Jonathan R. 
Published: August 2019

AbstractIschemic preconditioning (IPC) is an experimental phenomenon in which a brief ischemic stimulus confers protection against a subsequent prolonged ischemic event. Initially thought to be due to mechanistic changes in neurons, our understanding of IPC has evolved to encompass a global reprogramming of the Central Nervous System (CNS) after transient ischemia/reperfusion that requires innate immune signaling pathways including Toll‐like receptors (TLRs) and Type I interferons. Microglia are the CNS resident neuroimmune cells that express these key innate immune receptors. Studies suggest that microglia are required for IPC‐mediated neuronal and axonal protection. Multiple paradigms targeting TLRs have converged on a distinctive Type I interferon response in microglia that is critical for preconditioning‐mediated protection against ischemia. These pathways can be targeted through administration of TLR agonists, cytokines including interferon‐β, and pharmaceutical agents that induce preconditioning through cross‐tolerance mechanisms. Transcriptomic analyses and single cell RNA studies point to specific gene expression signatures in microglia that functionally shift these mutable cells to an immunomodulatory or protective phenotype. Although there are technological challenges and gaps in knowledge to overcome, the targeting of specific molecular signaling pathways in microglia is a promising direction for development of novel and effective pharmacotherapies for stroke. Studies on preconditioning in animal models, including nonhuman primates, show promise as prophylactic preconditioning treatments for selected at risk patient populations. In addition, our growing understanding of the mechanisms of IPC‐mediated protection is identifying novel cellular and molecular targets for therapeutic interventions that could apply broadly to both acute stroke and chronic vascular cognitive impairment patients.
Causes of regional variation in Dutch healthcare expenditures: Evidence from movers
Authors: Moura Ana , Salm Martin , Douven Rudy , Remmerswaal Minke 
Published: August 2019

SummaryWe assess the relative importance of demand and supply factors as determinants of regional variation in healthcare expenditures in the Netherlands. Our empirical approach follows individuals who migrate between regions. We use individual data on annual healthcare expenditures for the entire Dutch population between the years 2006 and 2013. Regional variation in healthcare expenditures is mostly driven by demand factors, with an estimated share of around 70%. The relative importance of different causes varies with the groups of regions being compared.
Could the infiltration of the thyroarytenoid muscle define the pT2 glottic carcinoma?
Authors: Lionello Marco , Bertolin Andy , Nardello Ennio , Giacomelli Luciano , Canal Fabio , Rizzotto Giuseppe , Marioni Gino , Lucioni Marco 
Published: August 2019

AbstractBackgroundThe involvement of the thyroarytenoid (TA) muscle by glottic cancer may be related to an impaired vocal cord mobility, which is classified as cT2 disease. The primary endpoint was to evaluate the prognostic significance of TA muscle involvement in early glottic cancer treated with transoral laser microsurgery (TLM).MethodsA review was conducted on a cohort of 209 patients consecutively treated with TLM for early glottic carcinoma. Univariate analysis was used to examine the prognostic meaning of clinical and pathological parameters.ResultsThe statistical analysis showed that TA muscle infiltration correlated significantly with a worse prognosis in terms of recurrence rate and disease‐free survival, and this was confirmed even in the subcohort with pT1a glottic cancer.ConclusionsOur preliminary findings suggest that it could be considered as a criterion for upstaging a glottic cancer from pT1 to pT2.
Revisiting Fama–French factors' predictability with Bayesian modelling and copula‐based portfolio optimization
Authors: Zhao Yang , Stasinakis Charalampos , Sermpinis Georgios , Fernandes Filipa Da Silva 
Published: August 2019

AbstractThis study is investigating the predictability of the five Fama–French factors and explores their optimal portfolio allocation for factor investing during 2000–2017. Firstly, we forecast each factor with a pool of linear and nonlinear models. Next, the individual forecasts are combined through dynamic model averaging, and their performance is benchmarked by the best performing individual predictor and other forecast combination techniques. Finally, we use the generalized autoregressive score model and the skewedtcopula method to estimate the correlation of assets. The generalized autoregressive score performance is also compared with other traditional approaches such as dynamic conditional correlation model and asymmetric dynamic conditional correlation. The performance of the constructed portfolios is assessed through traditional metrics and ratios accounting for the conditional value‐at‐risk and the conditional diversification benefits approach. Our results show that combining Bayesian forecast combinations with copulas is leading to significant improvements in the portfolio optimization process, and forecasting covariance accounting for asymmetric dependence between the factors adds diversification benefits to the obtained portfolios.
Exploring a model for infant and early childhood mental health consultation in early childhood home visiting
Authors: Lambarth Callie H. , Green Beth L. 
Published: August 2019

ABSTRACTHome‐visiting programs have experienced a rapid expansion as a strategy for providing support to vulnerable families with young children. As the evidence base for home‐visiting effectiveness has grown, the need for providing additional support to home visitors in addressing attachment issues and working with families with mental health concerns has become clear. One model for providing this support is Infant and Early Childhood Mental Health Consultation (IECMHC). This study contributes to the nascent evidence base for mental health consultation in home‐visiting programs, and describes the results from a pilot study of a model that incorporates another evidence‐based approach to early childhood mental health, Early Childhood Positive Behavior Intervention and Supports (ECPBIS) as a framework for consultation. We present data collected in a pilot project implementing an IECMHC–ECPBIS model within a Healthy Families America home‐visiting program, including a description of the approach and home‐visiting staff outcomes over a 24‐month period. Home visitors reported significant increases in knowledge of children's mental health, knowledge of adult mental health, confidence in involving parents as partners, and program leadership around addressing early childhood mental health issues. Program and staff benefits suggest promise for this enhanced home‐visiting program model.
Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish
Authors: Davis Samuel P. X. , Kumar Sunil , Alexandrov Yuriy , Bhargava Ajay , da Silva Xavier Gabriela , Rutter Guy A. , Frankel Paul , Sahai Erik , Flaxman Seth , French Paul M. W. , McGinty James 
Published: August 2019

AbstractOptical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using the Radon transform, as is typically implemented with optically cleared samples of the mm‐to‐cm scale. For in vivo imaging, considerations of phototoxicity and the need to maintain animals under anesthesia typically preclude the acquisition of OPT data at a sufficient number of angles to avoid artifacts in the reconstructed images. For sparse samples, this can be addressed with iterative algorithms to reconstruct 3D images from undersampled OPT data, but the data processing times present a significant challenge for studies imaging multiple animals. We show here that convolutional neural networks (CNN) can be used in place of iterative algorithms to remove artifacts—reducing processing time for an undersampled in vivo zebrafish dataset from 77 to 15 minutes. We also show that using CNN produces reconstructions of equivalent quality to compressed sensing with 40% fewer projections. We further show that diverse training data classes, for example, ex vivo mouse tissue data, can be used for CNN‐based reconstructions of OPT data of other species including live zebrafish.