bluuebunny/crossref_metadata_2025_split huggingface dataset:
HUMAN COMFORT ASSESSMENT OF STEEL‐CONCRETE COMPOSITE FLOORS
Authors: Ferreira Bárbara E. , Aguiar Jefferson V. , Carvalho Hermes , Caldas Rodrigo B. , da Silva José G. Santos , Calçada Rui A. B. 
Published: March 2020

AbstractThis research work aims to evaluate the steel‐concrete composite floors dynamic structural response, based on experimental tests and numerical modelling. The investigated structural system is an actual and existing project of a steel‐concrete composite floor, with total area of 1300 m2, used as a teaching hospital of a private university in Belo Horizonte/MG, Brazil. Grounded on the developed analysis methodology, the dynamic response of the floor (natural frequencies and peak accelerations) are compared with the results obtained through the numerical model and with the limits proposed by standards and design recommendations, aiming at the structure's performance evaluation with regard to human comfort.
ANALYSIS OF THE EFFECT OF CONCRETE STRENGTH IN EMBEDDED SHEAR CONNECTORS OF STEEL‐CONCRETE CORRUGATED WEB COMPOSITE BRIDGES THROUGH PUSH‐OUT TESTS
Authors: Németh Gábor , Kovács Nauzika , Jáger Bence , Kövesdi Balázs 
Published: March 2020

AbstractTraditionally in steel‐concrete composite bridges, the structural elements with different materials are work together with headed stud shear connectors welded to the top flange of the steel beam. The application of trapezoidal corrugated web embedded in the concrete slab provides an alternative for steel‐concrete composite and hybrid structures, however requires new solutions for shear connectors. The paper focusing on the corrugated web type composite and hybrid girders with embedded shear connector called concrete dowel. The paper provides an overview of the push‐out test program performed in the Structural Laboratory of the Department of Structural Engineering in BME.
ASSESSMENT OF SHS TUBULAR T JOINTS SUBJECTED TO CHORD AXIAL FORCES
Authors: Correia Tatiana P. , de Lima Luciano R. O. , Rodrigues Monique C. , da S. Vellasco Pedro C. G. , da Silva André T. 
Published: March 2020

AbstractThis paper aims to investigate the behaviour of T‐type welded joints consisting of cold‐formed steel square hollow sections (SHS), with β equal to 1.0, with and without sidewall plate reinforcement. A particular focus is on the preload effect in the chord, which is subjected to different levels of tension and compressive axial forces. For this purpose, a finite element numerical study was developed in ANSYS software, based on the development of calibrated models with experimental results. The results were compared with analytical formulations prescribed by standards and in the literature.
LINEAR ELASTIC LATERAL BUCKLING (INCLUDING SHEAR DEFORMATION) AND LINEAR ELASTIC LATERAL TORSIONAL BUCKLING OF COMPOSITE BEAMS ‐ AN ANALYTICAL ENGINEERING APPROACH
Authors: Derks Johannes P. B. N. 
Published: March 2020

AbstractThis article outlines a concise and complete versatile novel analytical framework to quickly and effectively assess lateral shear (knik) and lateral torsional buckling (kip) of composite beams build of sections with different lengths. The adjective “composite” includes dissimilar beam cross‐sections (beam profiles) and distinct beam materials. The major aim is to provide engineers with an accurate, simple but elegant analytical beam buckling tool based on advanced solid theoretical propositions. The justification of the analytical theory is supplied by demonstration of executed numerical tests, which affirm the validity of the proposed analytical buckling models adapted to the considered beam buckling cases.
COMPOSITE COLUMN WITH A BUNCH OF HIGH‐STRENGTH REINFORCEMENT BARS
Authors: Mensinger Martin , Röß Rudolf 
Published: March 2020

AbstractIn this research project, a new type of fire resistant, stable and at the same time slender composite column is developed and analysed. For this purpose, a bunch of high‐strength reinforcing bars with a yield strength equal to 670 N/mm2 is inserted in a steel pipe and then grout injected.
NUMERICAL ANALYSIS OF STEEL AND STEEL‐CONCRETE COMPOSITE BEAM‐TO‐COLUMN CONNECTIONS WITH EXTENDED END PLATE
Authors: de Freitas Vanessa S. , de Almeida Luiz Carlos , Trautwein Leandro M. 
Published: March 2020

AbstractThis paper presents a comparative analysis between steel and steel‐concrete composite connections with extended end plate. Numerical models were developed using ATENA 3D and calibrated from the results obtained by Figueiredo (2004) – University of São Paulo (USP – São Carlos) ‐ Brazil. A parametric analysis, achieved by varying the diameter for the bolts and the stud bolts, showed that considering the concrete component in the connection increased the joint's stiffness by 41%. In addition, it showed that among all the parameters analyzed the bolt diameter was the most relevant one, capable of altering the characterization of the connection's ultimate limit state.
NUMERICAL STUDY OF STRENGTHENED SLENDER I‐GIRDERS WITH FIBER REINFORCED POLYMERS
Authors: Cardoso Hermano de Sousa , Martins João Pedro , da Silva Luis Simões , Cimini Carlos Alberto 
Published: March 2020

AbstractThis study demonstrates the feasibility of applying diagonal reinforcements composed by fiber reinforced polymers (FRP) on the web surface of slender steel I‐girders. The use of such reinforcements contributes to a higher shear buckling strength capacity of the beam panels. This strengthening technique was evaluated by means of numerical analysis using the finite element software Abaqus®. In the analyzed models the connection between the reinforcement of composite material and the beam was made by structural adhesives. Additionally, beams with traditional diagonal reinforcements made of welded steel plate were simulated for comparison purposes, as well as another model without any diagonal reinforcement.
Long‐Lived Photocharges in Supramolecular Polymers of Low‐Band‐Gap Chromophores
Authors: Hafner Regina J. , Görl Daniel , Sienkiewicz Andrzej , Balog Sandor , Frauenrath Holger 
Published: March 2020

AbstractPhotoinduced charge separation in supramolecular aggregates of π‐conjugated molecules is a fundamental photophysical process and a key criterion for the development of advanced organic electronics materials. Herein, the self‐assembly of low‐band‐gap chromophores into helical one‐dimensional aggregates, due to intermolecular hydrogen bonding, is reported. Chromophores confined in these supramolecular polymers show strong excitonic coupling interactions and give rise to charge‐separated states with unusually long lifetimes of several hours and charge densities of up to 5 mol % after illumination with white light. Two‐contact devices exhibit increased photoconductivity and can even show Ohmic behavior. These findings demonstrate that the confinement of organic semiconductors into one‐dimensional aggregates results in a considerable stabilization of charge carriers for a variety of π‐conjugated systems, which may have implications for the design of future organic electronic materials.
Concentration‐Dependent Seeding as a Strategy for Fabrication of Densely Packed Surface‐Mounted Metal–Organic Frameworks (SURMOF) Layers
Authors: Li Qiang , Gies Joshua , Yu Xiu‐Jun , Gu Yu , Terfort Andreas , Kind Martin 
Published: March 2020

AbstractThe layer‐by‐layer (LbL) method is a well‐established method for the growth of surface‐attached metal–organic frameworks (SURMOFs). Various experimental parameters, such as surface functionalization or temperature, have been identified as essential in the past. In this study, inspired by these recent insights regarding the LbL SURMOF growth mechanism, the impact of reactant solutions concentration on LbL growth of the Cu2(F4bdc)2(dabco) SURMOF (F4bdc2−=tetrafluorobenzene‐1,4‐dicarboxylate and dabco=1,4‐diazabicyclo‐[2.2.2]octane) in situ by using quartz‐crystal microbalance and ex situ with a combination of spectroscopic, diffraction and microscopy techniques was investigated. It was found that number, size, and morphology of MOF crystallites are strongly influenced by the reagent concentration. By adjusting the interplay of nucleation and growth, we were able to produce densely packed, yet thin films, which are highly desired for a variety of SURMOF applications.
Detection of Small‐Molecule Aggregation with High‐Throughput Microplate Biophysical Methods
Authors: Allen Samantha J. , Dower Corey M. , Liu Annie X. , Lumb Kevin J. 
Published: March 2020

AbstractSmall‐molecule drug discovery can be hindered by the formation of aggregates that act as non‐selective inhibitors of drug targets. Such aggregates appear as false positives in high‐throughput screening campaigns and can bedevil structure‐activity relationships during compound optimization. Protocols are described for resonant waveguide grating (RWG) and dynamic light scattering (DLS) as microplate‐based high‐throughput approaches to identify compound aggregation. Resonant waveguide grating and dynamic light scattering give equivalent results for the compound test set, as assessed with Bland‐Altman analysis. © 2019 The Authors.Basic Protocol 1: Resonant waveguide grating (RWG) in 384‐well or 1536‐well plate format to detect compound aggregationBasic Protocol 2: Dynamic light scattering (DLS) in 384‐well plate format to detect compound aggregation
Illuminating Biology with Visible‐Light‐induced Biocompatible Reactions
Authors: Chen Yiyun 
Published: March 2020

AbstractYiyun Chen
is a Professor at the Shanghai Institute of Organic Chemistry, Chinese Academy of Science, a member of the State Key Laboratory of Bioorganic and Natural Products Chemistry of China, and a joint Professor at ShanghaiTech University. He is a current member of the ChemPhotoChem Editorial Board.
Genomewide selection utilizing historic datasets improves early stage selection accuracy and selection stability
Authors: Sleper Joshua A. , Sweet Patrick K. , Mukherjee Shreyartha , Li Min , Hugie Kari L. , Warner Todd L. 
Published: March 2020

AbstractOver the past decade, commercial maize (Zea mays L.) breeding programs have generated a large quantity of complimentary phenotypic and genotypic datasets on their recurrent breeding populations. As many genetic subgroups and alleles are recycled over the years, these data can be a valuable resource for predicting the performance of future breeding cycles. Our objective was to test the efficacy of using historic breeding data within a genomewide selection (GWS) framework to improve plant breeding selections in early stage testing of maize lines. Across a multiyear maize breeding dataset propriety of Syngenta Seeds, LLC., we compared the selection accuracy of GWS and phenotypic selection (PS). Genomewide selection improved selection accuracy relative to PS by 15% for grain yield, 21% for grain moisture, 3% for test weight, and 58% for ear height. Additionally, we demonstrate the stability of GWS for plant selections through a stratified sampling procedure in which loss of testing environments was simulated. Plant selections with GWS were robust and stable with the simulated loss of up to four testing environments (out of seven). Specifically, under this scenario, where four early stage testing environments were lost, the average GWS selection accuracies only decreased relatively by 10, 8 and 5% for grain yield, grain moisture, and test weight, respectively, compared with an average relative reduction for PS by 35, 13, and 12% for grain yield, grain moisture, and test weight, respectively. These results indicate that an abundance of historic genotypic and phenotypic data can compensate for a lack of preliminary yield trials.
Economic returns of one versus two fungicide applications in oklahoma winter wheat
Authors: Watson Branden H. , Hunger Robert M. , Marburger David A. 
Published: March 2020

AbstractFungicides protect winter wheat (Triticum aestivum L.) yield potential by managing foliar fungal diseases, but little information comparing one vs. two applications is available for the US southern Great Plains. Field experiments conducted from 2016–2018 at two Oklahoma locations (Apache and Stillwater) used two winter wheat cultivars (‘Gallagher’ and ‘Bentley’) and four fungicide application timings (control, Feekes 6, Feekes 9, and Feekes 6 + 9). Disease levels were highest during 2017 due to leaf rust. Dry conditions during 2018 limited disease development overall. Fungicide applications resulted in significantly higher yields in three of eight year × location × cultivar comparisons, all during 2017. The Feekes 6 + 9 treatment only showed the highest grain yield for the leaf rust‐susceptible cultivar Bentley at Stillwater that season. Partial profit was also examined by year, location, and cultivar using four fungicide cost scenarios at three grain sale prices. Only 22 of 96 comparisons showed significant positive partial profit from fungicide use, and all occurred at Stillwater during 2017. Two fungicide applications had the highest profit in 4 of the 22 comparisons for the cultivar Bentley. However, a single application of a low‐cost fungicide was most often among the highest profitable fungicide treatments, depending when higher disease levels were present. Partial profits from one and two fungicide applications were not significant or significantly negative when disease levels were low. Knowledge of cultivar disease susceptibility and disease scouting need to be considered to economically justify one or two fungicide applications in Oklahoma winter wheat.
Potential of rutabaga (Brassica napus var. napobrassica) gene pool for use in the breeding of B. napus canola
Authors: Shiranifar Bijan , Hobson Neil , Kebede Berisso , Yang Rong‐Cai , Rahman Habibur 
Published: March 2020

AbstractThe narrow genetic diversity in Brassica napus L. (AACC, 2n = 38) canola is one of the major impediment for continued improvement of this crop. Among the different primary gene pools of B. napus, rutabaga (B. napus var. napobrassica) is genetically distinct from spring canola. The potential value of this gene pool for use in the breeding of B. napus canola was investigated in the present study. For this, 93 advanced generation inbred lines with a spring growth habit were developed from F2 and BC1 populations of rutabaga × spring canola crosses and evaluated in replicated field trials for agronomic and seed quality traits. These inbred lines were also genotyped with SSR markers to assess the extent of allelic diversity introgressed from rutabaga into the inbred lines. Some of the inbred lines gave higher seed yield and had greater oil content than their spring canola parent. Molecular marker analysis showed that genetically distinct B. napus canola lines carrying unique alleles of the A and C genomes of rutabaga could be obtained from both F2– and BC1–derived populations. Thus, the results demonstrate the potential of using the rutabaga gene pool for the improvement of B. napus canola.
Image‐based phenotyping and genetic analysis of potato skin set and color
Authors: Caraza‐Harter Maria V. , Endelman Jeffrey B. 
Published: March 2020

AbstractImage‐based phenotyping offers new opportunities for fast, objective, and reliable measurement for breeding and genetics research. In the current study, image analysis was used to quantify potato (Solanum tuberosum L.) skin color and skin set, which are critical for the marketability of new varieties. A set of 15 red potato varieties and advanced breeding lines was evaluated over 2 yr at a single location, with two harvest times in the second year. After mechanical harvest and grading, seven to eight representative tubers per plot were photographed, and the photos were analyzed with ImageJ to measure skinning (as percentage surface area) and skin color using the hue, chroma, and lightness (HCL) representation. The plot‐based heritability was consistently high (> .77) across traits and environments; the genetic correlation between environments was also high, ranging from .81–.98. Significant increases in lightness and chroma, as well as a decrease in skinning, were observed at the late compared with early harvest, whereas the opposite trends for color were observed after 6 wk of storage. The three color traits were unexpectedly collinear in this study, with the first principal component explaining 86% of the variation. This result may reflect the physiology of red color in potato, but the highly selected nature of the 15 genotypes may also be a factor. Image‐based phenotyping offers new opportunities to advance genetic gain and understanding for tuber appearance traits that have been difficult to precisely measure in the past.
Comparison of array‐ and sequencing‐based markers for genome‐wide association mapping and genomic prediction in spring wheat
Authors: Liu Caiyun , Sukumaran Sivakumar , Jarquin Diego , Crossa Jose , Dreisigacker Susanne , Sansaloni Carolina , Reynolds Matthew 
Published: March 2020

AbstractNotwithstanding the rapid development of high‐throughput genotyping platforms in recent years, several plant research programs find themselves in a dilemma of which marker system to use while conducting genome‐wide association studies (GWAS) and genomic selection. To gain insight into this, we genotyped an elite spring wheat (Triticum aestivum L.) association mapping initiative (WAMI, 287 lines) panel with various array‐based platforms—(i) Diversity Arrays Technology (DArT), (ii) Illumina Infinium BeadChip wheat 9K iSelect (I9K), and (iii) wheat 90K iSelect (I90K)—and sequencing‐based platform DArTseq. The raw markers refined using a common set of protocols after the bioinformatics analysis were compared by performing a series of genetic analyses: estimates of genetic diversity through nucleotide diversity (π), population structure and familial relatedness, marker‐trait associations (MTAs), and genomic prediction. Results indicated that genetic data from DArTseq consisted of a high proportion of rare allele markers (1% < minor allele frequency < 5%). The nucleotide diversity statistic (π) was higher for the array‐based single nucleotide polymorphisms (SNPs) than sequencing‐based SNPs. The I9K detected population structure caused by the variety ‘Kauz’ and grouped the population into two subgroups, whereas I90K, DArT, and DArTseq detected five subgroups driven by key pedigrees. The I90K with the highest marker density identified a high number of significant MTAs. Genomic prediction accuracy varied among traits; DArTseq and I90K produced similar prediction accuracies. Among the marker platforms compared, I90K was the best genotyping platform for GWAS, and DArTseq—given the low cost per SNP—was the best platform for genomic prediction in spring wheat.
Identification of quantitative trait loci associated with maize resistance to bacterial leaf streak
Authors: Qiu Yuting , Kaiser Christopher , Schmidt Clarice , Broders Kirk , Robertson Alison E. , Jamann Tiffany M. 
Published: March 2020

AbstractBacterial leaf streak (BLS), a foliar disease of maize (Zea mays L.) caused by Xanthomonas vasicola pv. vasculorum, recently emerged in the Americas as a disease of major importance. Little is known about the disease cycle, and consequently, management is difficult. No chemical control is available. Host resistance will likely play a major role in controlling the disease, but to date, no data regarding the resistance of maize germplasm to X. vasicola pv. vasculorum have been published. The objective of this study was to examine the genetic architecture of resistance to BLS. We conducted quantitative trait locus (QTL) mapping for BLS resistance in three maize populations: the Z022 (B73 × Oh43 recombinant inbred line) nested association mapping (NAM) population, the Z023 (B73 × Oh7B recombinant inbred line) NAM population, and the DRIL78 (NC344 × Oh7B chromosome segment substitution line) population. A total of five QTL were detected across two of the mapping populations. Of the QTL detected, one conferred a moderate effect, whereas the others conferred small effects. We also examined the relationship between resistance to BLS and resistance to three foliar diseases of maize, which had been mapped previously. The only significant correlation we found for BLS was with northern corn leaf blight [caused by Exserohilum turcicum (Pass.) K. J. Leonard & Suggs] in one of the populations, although two of the five BLS regions were involved in resistance to other diseases. These data will be useful for developing maize varieties resistant to BLS to mitigate the impact of bacterial leaf streak on maize production.
A connected half‐sib family training population for genomic prediction in barley
Authors: Sweeney Daniel W. , Rutkoski Jessica , Bergstrom Gary C. , Sorrells Mark E. 
Published: March 2020

AbstractGenomic prediction accuracy is affected by population size, trait heritability, relatedness of training and validation populations, marker density, and genetic architecture. Nested association mapping (NAM) populations have advantages in many of these features compared with biparental families and may be an effective strategy for increasing prediction accuracy. The classic NAM design was modified to create a two‐row spring malting barley (Hordeum vulgare L.) population of 1341 F3:F4 lines in seven families that was phenotyped for heading date, plant height, leaf rust, spot blotch, pre‐harvest sprouting, and grain protein. Quantitative trait loci (QTL) were detected for plant height, leaf rust, pre‐harvest sprouting, and spot blotch with genome‐wide association analyses. Prediction accuracies were assessed in validation populations consisting of a single family or multiple families. Across‐family prediction accuracy (.607–.811) generally surpassed within‐family prediction accuracy, particularly for traits with high across‐family variance. Reductions in marker density (70–80%) and training population size (25–50%) did not cause significant loss of prediction accuracy. Addition of fixed marker effects from genome‐wide association had minimal impact on prediction accuracy in the full training population but improved accuracy in reduced training populations. Within‐family prediction for traits highly influenced by family structure was improved by adding half‐sibs to the training population. Connected half‐sib training populations could be useful for new and established breeding programs looking to implement genomic selection due to benefits of family structure on prediction accuracy, genotyping, genetic diversity, and genetic mapping.