bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrical Conduction and Relaxation in Perovskite Oxide SrCe0.98Na0.02O3 Synthesized by Solid‐State Route
Authors: Yadav Dharmendra , Kumar Upendra , Nirala Gurudeo , Upadhyay Shail 
Published: December 2019

AbstractPowder of SrCe0.98Na0.02O3 is synthesized by calcination at 1000 °C for 8 h via solid‐state ceramic route. The ceramic/pellet of this compound is obtained by sintering at 1200 °C for 12 h. X‐ray diffraction (XRD) technique is used to confirm single‐phase formation. Rietveld refinement of the XRD pattern of sintered powder has confirmed orthorhombic crystal structure and space group Pnma as reported for SrCeO3. Further, the purity of the synthesized compound is ensured using Raman and Fourier transform infrared spectroscopy analysis. Scanning electron microscopic studies have reflected dense microstructure and spherical shape grains with an average size of 1.80 µm. Complex plane impedance and spectroscopic analysis are employed to study electrical conduction and relaxation mechanisms in the temperature range 300–600 °C and frequency range 20 Hz to 2 MHz. The activation energy for DC conduction (Econ) and relaxation (Erelx) is found to be the same (0.77 eV). Based on the numerical value of activation energies, conduction and relaxation mechanisms are attributed to migration of doubly ionized oxygen vacancies (VO••).
Influence of SiO2 Filler on the Property Enhancement and Endurance of Poly(ethylene oxide)–Salt Composite
Authors: Choudhuri Mayuri , Choudhury Debasmita , Mukhopadhyay Jayanta , Mukhopadhyay Madhumita 
Published: December 2019

AbstractIon conduction process is highly dependent on the synthesis and type of polymer salt composite. Composites are synthesized using low melting poly(ethylene oxide) (PEO) salts (NH4I and KBr) loaded with 10 wt% treated silica as passive filler. Highest ionic conductivity of ≈10−3 S cm−1 with least bulk resistance is obtained from PEO–NH4I (20%) composite consisting of treated silica as filler. The aim of the present article resides in the selection and usage of salt effectively wherein highly conductive (like PEO–NH4I‐treated SiO2) and highly dielectric (like PEO–KBr‐treated SiO2) films can be utilized as per the needs of application. The novelty of the research work is imbibed in the long‐term endurance analyses of such composites for 2000 h. Addition of silica is reported to significantly enhance the cyclability of PEO–ammonium salt based electrolyte significantly up to 2000 h. Detailed study is carried out in terms of long‐term analyses and correlated with SEM morphology.
Elaborative Studies on Non‐Porous Carbon Material for Super Capacitor Application
Authors: Dhapola Pawan S. , Sahoo Nanda G. , Bhattacharya Bhaskar , Kumar Yogesh , Singh Pramod K. , Gupta Meenal 
Published: December 2019

AbstractThis study demonstrates a simplistic and effectual approach to prepare non‐porous carbon for which nitrogen is doped in poly(vinyl chloride) (PVC) in presence of catalyst cobalt chloride (COCl2). Characterization of the prepared non‐porous carbon is carried out using Raman, X‐ray diffraction, differential scanning calorimetry, thermogravimetric analysis, and Brunauer–Emmett–Teller. The calculated surface area of the prepared carbon is 15.78 m2 g−1. To compare the performance of prepared non‐porous carbon with pure PVC as an electrode material for supercapacitor application, two EDLC cells are prepared. In both the cells, 1‐ethyl‐3‐methylimidazolium thiocyanate (ionic liquid) is used as an electrolyte and filter paper is used as a separator. Six times increment is found in the specific capacitance value of EDLC prepared using nitrogen‐doped carbon (NC‐CO) than prepared using pure PVC. The calculated specific capacitance values using low‐frequency impedance spectroscopy are 62.28 and 7 F g−1, respectively, for NC‐CO and pure PVC.
Monitoring Populations in Partially Protected Marine Areas: Comparisons of Length Data Derived from Recreational Angler Surveys and Fishery-Independent Surveys
Authors: Ochwada-Doyle Faith A. , Johnson Daniel D. , Gray Charles A. , Rotherham Douglas 
Published: December 2019

Abstract
In partially protected marine areas, such as recreational fishing havens (RFHs), fishery-independent surveys and recreational angler surveys represent two of the few available methods of collecting length-frequency data to monitor population responses to protection from commercial fishing and the impacts of ongoing recreational fishing. Although length data plays an important role in facilitating stock assessment and monitoring within RFHs, little is known about the relative magnitude and direction of size-selective biases introduced by fishery-independent surveys and angler surveys. This study quantitatively compared length data derived from the two methods for three exploited species or taxa (bream species complex of Acanthopagrus spp. [hybrid complex of Black Bream A. butcheri × Yellowfin Bream A. australis], Dusky Flathead Platycephalus fuscus, and Sand Whiting Sillago ciliata) sampled from two estuarine RFHs in Australia. When all lengths sampled by each method were compared, the species-specific length frequencies derived from angler surveys and fishery-independent surveys differed significantly in all cases but for Dusky Flathead from one RFH. Following standardization for minimum-legal-length restrictions, the angler survey method captured a more representative spectrum of lengths for Acanthopagrus spp. For Dusky Flathead, angler surveys and fishery-independent surveys performed equally in terms of the lengths captured. Although length frequencies for Sand Whiting above minimum legal length differed significantly between the methods in both RFHs, spatial inconsistencies precluded a clear conclusion for this species. The fact that neither method consistently outperformed the other across all species supports the idea that using both angler surveys and fishery-independent surveys in a complimentary manner may enable a clearer understanding of size compositions across multiple species for monitoring and stock assessment purposes and thereby facilitate an ecosystem-based approach to fishery assessment and management.
Higher Aggregation of Key Prey Species Associated with Diet and Abundance of the Steller Sea Lion Eumetopias jubatus across the Aleutian Islands
Authors: Rand Kimberly , McDermott Susanne , Logerwell Elizabeth , Matta Mary Elizabeth , Levine Mike , Bryan David R. , Spies Ingrid B. , Loomis Todd 
Published: December 2019

Abstract
The Aleutian Islands ecosystem is a highly dynamic marine environment that supports commercially important fish species, such as Atka Mackerel Pleurogrammus monopterygius and Northern Rockfish Sebastes polyspinis, and several large marine mammals, including the Steller sea lion (SSL) Eumetopias jubatus. To protect SSL foraging behavior and prey, trawl exclusion zones (TEZs) were established around SSL rookeries and haulouts across the Aleutian Islands and are closed to bottom trawling. The Atka Mackerel fishery is concentrated at small, local patches (~37.04 km [~20 nautical miles]) across the Aleutian Islands, often near and adjacent to TEZs. Food web models and fishery stock assessments predict sufficient prey for both the fishery and foraging SSLs at the level of large management areas (each area is ~463 km [~250 nautical miles] longitudinally), but little is known about local fish distribution (~37.04 km) in proximity to SSL rookeries and haulouts. We used CPUE to examine the spatial distribution of two SSL prey species (Atka Mackerel and Northern Rockfish) and marine invertebrates (as a proxy for habitat quality) at large (across the Aleutian Islands) and small (~37.04-km) scales. Although Atka Mackerel abundance estimates were similar across the Aleutian Islands, the density of Atka Mackerel differed. In the eastern Aleutian Islands, where SSL population trends have stabilized, Atka Mackerel aggregations were dense. In contrast, in the far western Aleutian Islands, where SSL populations are still in decline, Atka Mackerel distributions were diffuse and Northern Rockfish exhibited a greater density. Results indicated no significant difference in CPUE between areas open to fishing and closed areas (i.e., TEZs) at all study sites for Atka Mackerel and at all but one study site for Northern Rockfish, whereas invertebrate densities were significantly higher inside of TEZs at all study sites. We discuss how fish distributions across the Aleutian Islands may impact the success and behavior of foraging SSLs.
Gene‐by‐gene interactions associated with the risk of conotruncal heart defects
Authors: Lyu Chen , Webber Daniel M. , MacLeod Stewart L. , Hobbs Charlotte A. , Li Ming ,   the National Birth Defects Prevention Study
Published: December 2019

AbstractBackgroundThe development of conotruncal heart defects (CTDs) involves a complex relationship among genetic variants and maternal lifestyle factors. In this article, we focused on the interactions between 13 candidate genes within folate, homocysteine, and transsulfuration pathways for potential association with CTD risk.MethodsTargeted sequencing was used for 328 case‐parental triads enrolled in the National Birth Defects Prevention Study (NBDPS). To evaluate the interaction of two genes, we applied a conditional logistic regression model for all possible SNP pairs within two respective genes by contrasting the affected infants with their pseudo‐controls. The findings were replicated in an independent sample of 86 NBDPS case‐parental triads genotyped by DNA microarrays. The results of two studies were further integrated by a fixed‐effect meta‐analysis.ResultsOne SNP pair (i.e., rs4764267 and rs6556883) located in gene MGST1 and GLRX, respectively, was found to be associated with CTD risk after multiple testing adjustment using simpleM, a modified Bonferroni correction approach (nominal p‐value of 4.62e‐06; adjusted p‐value of .04). Another SNP pair (i.e., rs11892646 and rs56219526) located in gene DNMT3A and MTRR, respectively, achieved marginal significance after multiple testing adjustment (adjusted p‐value of .06).ConclusionFurther studies with larger sample sizes are needed to confirm and elucidate these potential interactions.
EBV‐directed viral‐specific T‐lymphocyte therapy for the treatment of EBV‐driven lymphoma in two patients with primary immunodeficiency and DNA repair defects
Authors: Rubinstein Jeremy D. , Burns Karen , Absalon Michael , Lutzko Carolyn , Leemhuis Tom , Chandra Sharat , Hanley Patrick J. , Keller Michael D. , Davies Stella M. , Nelson Adam , Grimley Michael 
Published: December 2019

AbstractChildren with ataxia telangiectasia (AT), a primary immunodeficiency caused by mutations in ATM, which is critical for repairing DNA defects, are at risk for the development of hematologic malignancy, frequently driven by infection with Epstein‐Barr virus (EBV). Conventional chemotherapy is poorly tolerated by patients with AT, with excessive toxicity even when doses are reduced. Here, we report on two patients with AT and EBV‐positive neoplasms who were treated with EBV‐targeted viral‐specific T cells (VST). One patient had a prolonged complete response to VSTs while the other had a partial response. Therapy was well tolerated without infusion toxicity or graft‐versus‐host disease.
Aggression toward teachers, interaction with school shooting media, and secondary trauma: Lockdown drills as moderator
Authors: Stevens Tara , Barnard‐Brak Lucy , Roberts Brook , Acosta Rio , Wilburn Sydney 
Published: December 2019

AbstractThe purpose of the present study was first to investigate whether both teacher‐reported classroom aggression (ATT) and teachers’ interaction with school shooting media (ISSM) are predictors of teachers’ secondary trauma related to school shootings (STSS) and to second, consider how participation in lockdown drills may moderate these relationships. Two measures were created to understand the levels of aggression teachers report occurs in their classrooms and to understand how teachers interact with media related to school shootings. Both ISSM and ATT were associated with higher levels of STSS. Lockdown drills did not appear to interact with these relationships to either strengthen or weaken them. Considering the importance of teachers’ well‐being and how it influences their ability to be effective teachers, continued investigation is warranted.
Why do girls do better in reading than boys? How parental emotional contagion explains gender differences in reading achievement
Authors: Nalipay Ma. Jenina N. , Cai Yuyang , King Ronnel B. 
Published: December 2019

AbstractPrevious studies that attempted to explain why girls often perform better than boys in reading have emphasized the role of values and beliefs, with little attention paid to the role of emotions. This study focused on the role of parent–child emotional contagion in explaining gender differences, by investigating how parents’ reading emotion predicts students’ reading emotion and subsequent reading achievement. The data that was used was from a subsample of students from the Program for International Students Assessment (n = 84,429) from 14 countries. Multi‐group structural equation modeling was conducted to assess a model of parents’ enjoyment of reading predicting reading achievement through students’ enjoyment of reading. Results provided support for a model of parents’ enjoyment of reading, predicting students 'enjoyment of reading, and subsequent reading achievement for both girls and boys. However, the indirect effect of parents’ enjoyment of reading on reading achievement through students’ enjoyment of reading was found to be stronger in girls than in boys. Findings emphasize the important role of parents’ emotions on student outcomes and how gender biases in a certain context can affect the extent to which parents’ emotions can influence student achievement.
Dynamic output‐feedback fuzzy MPC for Takagi‐Sugeno fuzzy systems under event‐triggering–based try‐once‐discard protocol
Authors: Dong Yuying , Song Yan , Wang Jianhua , Zhang Bin 
Published: December 2019

SummaryThe fuzzy model predictive control (FMPC) problem is studied for a class of discrete‐time Takagi‐Sugeno (T‐S) fuzzy systems with hard constraints. In order to improve the network utilization as well as reduce the transmission burden and avoid data collisions, a novel event‐triggering–based try‐once‐discard (TOD) protocol is developed for networks between sensors and the controller. Moreover, due to practical difficulties in obtaining measurements, the dynamic output‐feedback method is introduced to replace the traditional state feedback method for addressing the FMPC problem. Our aim is to design a series of controllers in the framework of dynamic output‐feedback FMPC for T‐S fuzzy systems so as to find a good balance between the system performance and the time efficiency. Considering nonlinearities in the context of the T‐S fuzzy model, a “min‐max” strategy is put forward to formulate an online optimization problem over the infinite‐time horizon. Then, in light of the Lyapunov‐like function approach that fully involves the properties of the T‐S fuzzy model and the proposed protocol, sufficient conditions are derived to guarantee the input‐to‐state stability of the underlying system. In order to handle the side effects of the proposed event‐triggering–based TOD protocol, its impacts are fully taken into consideration by virtue of the S‐procedure technique and the quadratic boundedness methodology. Furthermore, a certain upper bound of the objective is provided to construct an auxiliary online problem for the solvability, and the corresponding algorithm is given to find the desired controllers. Finally, two numerical examples are used to demonstrate the validity of proposed methods.
Direct data‐driven design of switching controllers
Authors: Breschi Valentina , Formentin Simone 
Published: December 2019

SummarySwitching linear models can be used to represent the behavior of hybrid, time‐varying, and nonlinear systems, while generally providing a satisfactory trade‐off between accuracy and complexity. Although several control design techniques are available for such models, the effect of modeling errors on the closed‐loop performance has not been formally evaluated yet. In this paper, a data‐driven synthesis scheme is thus introduced to design optimal switching controllers directly from data, without needing a model of the plant. In particular, the theory will be developed for piecewise affine controllers, which have proven to be effective in many real‐world engineering applications. The performance of the proposed approach is illustrated on some benchmark simulation case studies.
Neural critic learning toward robust dynamic stabilization
Authors: Wang Ding , Xu Xin , Zhao Mingming 
Published: December 2019

SummaryIn this article, we focus on developing a neural‐network‐based critic learning strategy toward robust dynamic stabilization for a class of uncertain nonlinear systems. A type of general uncertainties involved both in the internal dynamics and in the input matrix is considered. An auxiliary system with actual action and auxiliary signal is constructed after dynamics decomposition and combination for the original plant. The reasonability of the control problem transformation from robust stabilization to optimal feedback design is also provided theoretically. After that, the adaptive critic learning method based on a neural network is established to derive the approximate optimal solution of the transformed control problem. The critic weight can be initialized to a zero vector, which apparently facilitates the learning process. Numerical simulation is finally presented to illustrate the effectiveness of the critic learning approach for neural robust stabilization.
Structure‐Reactivity Relationship in ES Models of Co(II)‐Containing Quercetin 2,4‐Dioxygenase
Authors: Sun Ying‐Ji , Liu Yan‐Fang , Zhang Jian‐Jun , Li Yan‐Qin 
Published: December 2019

AbstractTo clarify structure‐function relationship among “typical” (2HisCOO) and “atypical” (3His, 3HisCOO, 4His) different active site dioxygenases, a set of model ligands 2NCOO, 3 N, 3NCOO, 4 N (L2NCOOH: 2‐((benzyl(pyridin‐2‐ylmethyl)amino)methyl)benzoic acid, L3N: N‐benzyl‐1‐(pyridin‐2‐yl)‐N‐(pyridin‐2‐ylmethyl)methanamine, L3NCOOH: 2‐{[bis(pyridin‐2‐ylmethyl)amino]methyl}benzoic acid, L4N: tris(pyridin‐2‐ylmethyl)amine) and their complexes [CoIILn(fla)] (n: 2NCOO (1), 3 N (2), 3NCOO (3), 4 N (4); fla: 3‐flavonolate) were designed as ES models of the Co(II)‐containing quercetin 2,4‐dioxygenase (Co‐2,4‐QD) from a structural and functional viewpoint. Their structure, properties, O2 reactivity, reaction mechanism, and structure‐reactivity relationship details were investigated. [CoLn(fla)] exhibit higher single turnover O2 reactivity to produce products similar to the enzymatic reaction, and model ligands dependent order 3 > 4 > 1 > 2. 3 (the same 3HisCOO structure as natural 2,4‐QD) shows higher reactivity, which highlight the role of active site Glu of 2,4‐QD. The reaction rate constant k shows linear correlation with E1/2(CoIII/II) and Epa(fla−/fla•), which highlights the structure‐property‐O2 reactivity relationship. This is the first biomimetic study of structure‐function correlation among 2HisCOO, 3His, 3HisCOO, 4His different active site dioxygenases, could shed light on understanding structure‐function relationship among them and reaction mechanism of Co‐2,4‐QD.
A Phosphorous‐Aluminium‐Nitride Synergistic Flame Retardant to Enhance Durability and Flame Retardancy of Cotton
Authors: Hao Shuaishuai , Zhu Wenju , Huang Hao , Yang Mingyang , Zhang Jimei 
Published: December 2019

AbstractIn this paper, a Phosphorous ‐ Aluminium ‐ Nitride synergistic flame retardant (PAN) was synthesized by phosphoric acid, glycerol, aluminium sulfate and urea, though a one‐pot process. The PAN was durably grafted onto the surface of cotton fabric by the simple process of soak‐dry‐cure. At the same time, the synergistic effect of the aluminium element and Phosphorous ‐ Nitrogen flame retardants (PN) was investigated. The flame‐retardant effect is the best when the conttent of alumium is 2.5 mol% (percentage of phosphoricacid) in PAN. The analyses of FTIR and XPS results suggested that PAN was grafted onto the cotton by forming a strong P−O‐C covalent bond on the surface of fiber. The SEM and Whiteness test proved that the flame‐retardant finishing cotton fabric do possess good morphology and whiteness. The thermal stability and flame retardancy of the PAN treated cotton fabric were assessed by TG and vertical flammability test. Then, found the aluminium sulfate in PAN had synergistic effect, and the PAN had significant flame retardancy in application.
Palladium‐Catalyzed Direct ortho‐C‐H Acylation of 2‐Phenylpyridine N‐oxides with Benzyl Alcohols/α‐Oxocarboxylic Acids
Authors: Zhou Ming‐Dong , Liu Chang , Sun Jing , Zhang Jing‐Hao , Wang He 
Published: December 2019

AbstractA palladium(II)‐catalyzed acylation of 2‐phenylpyridine N‐oxides via ortho‐selective C−H activation at phenyl ring is developed using benzyl alcohols or α‐oxocarboxylic acids as the acylation reagents under mild conditions. The two reaction protocols exhibited complementary substrate scopes, and are tolerated to a variety of 2‐phenylpyridine N‐oxide substrates with high yield and selectivity. Mechanism studies indicated that this acylation reaction includes a radical process via acyl radical.
A computational investigation of airfoil aeroacoustics for structural health monitoring of wind turbine blades
Authors: Traylor Caleb , DiPaola Milo , Willis David J. , Inalpolat Murat 
Published: December 2019

AbstractA generalized computational methodology for reduced order acoustic‐structural coupled modeling of the aeroacoustics of a wind turbine blade is presented. This methodology is used to investigate the acoustic pressure distribution in and around airfoils to guide the development of a passive damage detection approach for structural health monitoring of wind turbine blades for the first time. The output of a k − ε turbulence model computational fluid dynamics simulation is used to calculate simple acoustic sources on the basis of model tuning with published experimental data. The methodology is then applied to a computational case study of a 0.3048‐m chord NACA 0012 airfoil with two internal cavities, each with a microphone placed along the shear web. Five damage locations and four damage sizes are studied and compared with the healthy baseline case for three strategically selected acoustic frequencies: 1, 5, and 10 kHz. In 22 of the 36 cases in which the front cavity is damaged, the front cavity microphone measures an increase in sound pressure level (SPL) above 3 dB, while rear cavity damage only results in six out of 24 cases with a 3‐dB increase in the rear cavity. The 1‐ and 5‐kHz cases show a more consistent increase in SPL than the 10‐kHz case, illustrating the spectral dependency of the model. The case study shows how passive acoustic detection could be used to identify blade damage, while providing a template for application of the methodology to investigate the feasibility of passive detection for any specific turbine blade.
Feynman integrals as A-hypergeometric functions
Authors: de la Cruz Leonardo 
Published: December 2019

AbstractWe show that the Lee-Pomeransky parametric representation of Feynman integrals can be understood as a solution of a certain Gel’fand-Kapranov-Zelevinsky (GKZ) system. In order to define such GKZ system, we consider the polynomial obtained from the Symanzik polynomialsg=$$ \mathcal{U} $$U+$$ \mathcal{F} $$Fas having indeterminate coefficients. Noncompact integration cycles can be determined from the coamoeba — the argument mapping — of the algebraic variety associated withg. In general, we add a deformation togin order to define integrals of generic graphs as linear combinations of their canonical series. We evaluate several Feynman integrals with arbitrary non-integer powers in the propagators using the canonical series algorithm.