bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effect of Iron Powder Waste as a Replacement of Amount of Fillers on HRS (Hot Rolled Sheet)
Authors: Anjarwati Sulfah , Santosa Panji Dwi 
Published: March 2020

Abstract
Hot Rolled Sheet (HRS) HRS is used on roads with moderate traffic loads, Hot Rolled Sheet is flexible and has high durability, this is due to the mixture of HRS with lame gradations having a large cavity in the mixture, so as to absorb the amount of asphalt large amounts (7-8%) without bleeding, due to the nature of the HRS above, the author chose the HRS pavement type to be modified so that the stability and flow values increased. This study was aimed to determined how much influence iron waste have on stability and flow. This study was used an experimental method that is with a laboratory experiment to get the results, thus the effect of the utilization of iron powder waste on HRS (hot rolled shett) pavement with variations of 0%, 5%, 10%, 15%, and 20% of filler weight. From the results of this study was found that: Iron powder based on gradation and specific gravity test and water absorption has fulfilled the requirements as fillers as regulated in SNI 03-4142-1996. From the Marshall test data obtained, variations that meet the requirements for the properties of Marshall parameters for HRS-WC pavement are variations of 5% and 10%. Percentage of addition of iron powder variation from filler weight which results in the highest stability and flow and fulfills all characteristics the Marshall parameter is a variation of 10%.
Magnetostatic dipolar anisotropy energy and anisotropy constants in arrays of ferromagnetic nanowires as a function of their radius and interwall distance
Authors: Cabria I , Prida V M 
Published: March 2020

Abstract
Magnetostatic dipolar anisotropy energy and the total dipolar anisotropy constant,

K

total

, in periodic arrays of ferromagnetic nanowires have been calculated as a function of the nanowire radius, the interwall distance of the nanowires in the arrays and the geometry of the array (square or hexagonal), by using a realistic atomistic model and the Ewald method. The simulated nanowires have a radius size up to 175 Å that corresponds to 31 500 atoms, and the simulated nanowire arrays have interwall distances between 35 and 3000 Å. The dependence of total magnetostatic dipolar anisotropy constant on the nanowire radius, their interwall distance and the type of array symmetry has been analyzed. The total dipolar anisotropy constant, which is the sum of the intrananowire dipolar anisotropy constant,

K

intra

, due to the dipolar interactions inside an isolated nanowire and the main responsible of the shape anisotropy, and of the internanowire dipolar anisotropy constant,

K

inter

, due to the magnetostatic dipolar interactions among nanowires in the array, have been calculated and compared with the magnetocrystalline anisotropy constant for three nanowire compositions and their crystalline structures. The simulations of the nanowire arrays with large interwall distances have been used to calculate the intrananowire anisotropy constant,

K

intra

, and to analyze the competition between the intrananowire, internanowire and magnetocrystalline anisotropies. According to some magnetic theories, the ratio

∣

K

inter

/

K

intra

∣

equals to the areal filling fraction of a nanowire array. Present calculations indicate that the equation for the areal filling fraction matches perfectly for any interwall distance and radius of Ni and Co nanowire arrays. This first equation is used to write a general equation that relates the radius and interwall distance of nanowire arrays with the intrananowire, internanowire and magnetocrystalline anisotropies. This general equation allows to design the geometry of nanowire arrays with the desired orientation of the easy magnetization axis.
Deep learning-guided surface characterization for autonomous hydrogen lithography
Authors: Rashidi Mohammad , Croshaw Jeremiah , Mastel Kieran , Tamura Marcus , Hosseinzadeh Hedieh , Wolkow Robert A 
Published: March 2020

Abstract
As the development of atom scale devices transitions from novel, proof-of-concept demonstrations to state-of-the-art commercial applications, automated assembly of such devices must be implemented. Here we present an automation method for the identification of defects prior to atomic fabrication via hydrogen lithography using deep learning. We trained a convolutional neural network to locate and differentiate between surface features of the technologically relevant hydrogen-terminated silicon surface imaged using a scanning tunneling microscope. Once the positions and types of surface features are determined, the predefined atomic structures are patterned in a defect-free area. By training the network to differentiate between common defects we are able to avoid charged defects as well as edges of the patterning terraces. Augmentation with previously developed autonomous tip shaping and patterning modules allows for atomic scale lithography with minimal user intervention.
Directional Bias in Line Orientation Test Errors in Parkinson’s Disease
Authors: Riordan Patrick , Kletzel Sandra L , Lahr Genessa , Walter Jamie , Wilson Randi 
Published: March 2020

Abstract

Objective
Value in evaluating error subtypes on visuospatial line orientation tests has been reported. Directional bias metrics for line orientation test errors represent easily quantifiable data that have not previously been studied. We evaluated whether patients with a clinical condition known to affect visuospatial functioning (Parkinson’s disease [PD]) exhibited unique directional error patterns on the RBANS Line Orientation test relative to other neuropsychology-referred patients.

Method
We compared overall directional bias in errors, directional bias by line location (left or right line and visual field), and absolute error rates (regardless of direction) by line location in a retrospective sample of patients with PD and a sample of neuropsychology-referred patients without PD. Groups were roughly matched on age, education, gender, and overall level of cognitive impairment.

Results
Patients with PD exhibited higher rates of leftward bias in errors, both overall and for the left stimulus line in each pair. Directional bias error scores better predicted PD versus non-PD group status than RBANS Line Orientation raw scores. Classification accuracy data for these variables were modest in the entire sample but stronger in a subsample of patients with mild levels of overall cognitive impairment.

Conclusions
Directional bias metrics for line orientation tests represent easily quantifiable data with potential theoretical and clinical value. In our sample, patients with PD made more left-biased line orientation errors than other neuropsychology-referred patients. By themselves, directional bias scores may have limited diagnostic potential, but they may be useful in diagnostic classification models and may have implications for clinical care.
CPVA: a web-based metabolomic tool for chromatographic peak visualization and annotation
Authors: Luan Hemi , Jiang Xingen , Ji Fenfen , Lan Zhangzhang , Cai Zongwei , Zhang Wenyong 
Published: March 2020

Abstract

Motivation
Liquid chromatography–mass spectrometry-based non-targeted metabolomics is routinely performed to qualitatively and quantitatively analyze a tremendous amount of metabolite signals in complex biological samples. However, false-positive peaks in the datasets are commonly detected as metabolite signals by using many popular software, resulting in non-reliable measurement.

Results
To reduce false-positive calling, we developed an interactive web tool, termed CPVA, for visualization and accurate annotation of the detected peaks in non-targeted metabolomics data. We used a chromatogram-centric strategy to unfold the characteristics of chromatographic peaks through visualization of peak morphology metrics, with additional functions to annotate adducts, isotopes and contaminants. CPVA is a free, user-friendly tool to help users to identify peak background noises and contaminants, resulting in decrease of false-positive or redundant peak calling, thereby improving the data quality of non-targeted metabolomics studies.

Availability and implementation
The CPVA is freely available at http://cpva.eastus.cloudapp.azure.com. Source code and installation instructions are available on GitHub: https://github.com/13479776/cpva.

Supplementary information
Supplementary data are available at Bioinformatics online.
Combined Neural Tuning in Human Ventral Temporal Cortex Resolves the Perceptual Ambiguity of Morphed 2D Images
Authors: Rosenke Mona , Davidenko Nicolas , Grill-Spector Kalanit , Weiner Kevin S 
Published: March 2020

Abstract
We have an amazing ability to categorize objects in the world around us. Nevertheless, how cortical regions in human ventral temporal cortex (VTC), which is critical for categorization, support this behavioral ability, is largely unknown. Here, we examined the relationship between neural responses and behavioral performance during the categorization of morphed silhouettes of faces and hands, which are animate categories processed in cortically adjacent regions in VTC. Our results reveal that the combination of neural responses from VTC face- and body-selective regions more accurately explains behavioral categorization than neural responses from either region alone. Furthermore, we built a model that predicts a person’s behavioral performance using estimated parameters of brain–behavior relationships from a different group of people. Moreover, we show that this brain–behavior model generalizes to adjacent face- and body-selective regions in lateral occipitotemporal cortex. Thus, while face- and body-selective regions are located within functionally distinct domain-specific networks, cortically adjacent regions from both networks likely integrate neural responses to resolve competing and perceptually ambiguous information from both categories.
Continuity and change in national riskscapes: a New Zealand perspective on the challenges for climate governance theory and practice
Authors: White Iain , Lawrence Judy 
Published: March 2020

Abstract
Climate change challenges how policy agents imagine and manage risks in space and time. The impacts are dynamic, uncertain and contested. We use riskscapes as a lens to analyse how New Zealand has perceived and mediated natural hazard and climate risks over time. We identify five different national riskscapes using a historical timeline, which have changed as global risks cascade into national and sub-national governance. We find that while there has been a major effort to reflect the dynamic and systemic language of risk theory in national policy, a significant challenge remains to develop appropriate governance and implementation strategies and to shift from long-held ways of doing and knowing.
AAV-mediated ERdj5 overexpression protects against P23H rhodopsin toxicity
Authors: Aguilà Monica , Bellingham James , Athanasiou Dimitra , Bevilacqua Dalila , Duran Yanai , Maswood Ryea , Parfitt David A , Iwawaki Takao , Spyrou Giannis , Smith Alexander J , Ali Robin R , Cheetham Michael E 
Published: March 2020

Abstract
Rhodopsin misfolding caused by the P23H mutation is a major cause of autosomal dominant retinitis pigmentosa (adRP). To date, there are no effective treatments for adRP. The BiP co-chaperone and reductase ERdj5 (DNAJC10) is part of the endoplasmic reticulum (ER) quality control machinery, and previous studies have shown that overexpression of ERdj5 in vitro enhanced the degradation of P23H rhodopsin, whereas knockdown of ERdj5 increased P23H rhodopsin ER retention and aggregation. Here, we investigated the role of ERdj5 in photoreceptor homeostasis in vivo by using an Erdj5 knockout mouse crossed with the P23H knock-in mouse and by adeno-associated viral (AAV) vector-mediated gene augmentation of ERdj5 in P23H-3 rats. Electroretinogram (ERG) and optical coherence tomography of Erdj5−/− and P23H+/−:Erdj5−/− mice showed no effect of ERdj5 ablation on retinal function or photoreceptor survival. Rhodopsin levels and localization were similar to those of control animals at a range of time points. By contrast, when AAV2/8-ERdj5-HA was subretinally injected into P23H-3 rats, analysis of the full-field ERG suggested that overexpression of ERdj5 reduced visual function loss 10 weeks post-injection (PI). This correlated with a significant preservation of photoreceptor cells at 4 and 10 weeks PI. Assessment of the outer nuclear layer (ONL) morphology showed preserved ONL thickness and reduced rhodopsin retention in the ONL in the injected superior retina. Overall, these data suggest that manipulation of the ER quality control and ER-associated degradation factors to promote mutant protein degradation could be beneficial for the treatment of adRP caused by mutant rhodopsin.
Development and validation of Houston Methodist Variant Viewer version 3: updates to our application for interpretation of next-generation sequencing data
Authors: Christensen Paul A , Subedi Sishir , Pepper Kristi , Hendrickson Heather L , Li Zejuan , Thomas Jessica S , Long S Wesley , Olsen Randall J 
Published: March 2020

AbstractObjectivesInformatics tools that support next-generation sequencing workflows are essential to deliver timely interpretation of somatic variants in cancer. Here, we describe significant updates to our laboratory developed bioinformatics pipelines and data management application termed Houston Methodist Variant Viewer (HMVV).Materials and MethodsWe collected feature requests and workflow improvement suggestions from the end-users of HMVV version 1. Over 1.5 years, we iteratively implemented these features in five sequential updates to HMVV version 3.ResultsWe improved the performance and data throughput of the application while reducing the opportunity for manual data entry errors. We enabled end-user workflows for pipeline monitoring, variant interpretation and annotation, and integration with our laboratory information system. System maintenance was improved through enhanced defect reporting, heightened data security, and improved modularity in the code and system environments.Discussion and ConclusionValidation of each HMVV update was performed according to expert guidelines. We enabled an 8× reduction in the bioinformatics pipeline computation time for our longest running assay. Our molecular pathologists can interpret the assay results at least 2 days sooner than was previously possible. The application and pipeline code are publicly available at https://github.com/hmvv.
High Throughput Residue Analysis of Indaziflam and its Metabolites in Palm Oil Using Liquid Chromatography–Tandem Mass Spectrometry
Authors: Halim Norizah , Kuntom Ainie , Shinde Raviraj , Banerjee Kaushik 
Published: March 2020

Abstract

Background
Indaziflam (IND) is a herbicide that is used in palm oil plantations for broad spectrum management of weeds. Until now, no validated method has been available for residue estimation of this herbicide in palm oil products.

Objective
In this study, we report a rapid method for the residue analysis of IND and its metabolites, viz., IND-carboxylic acid, diaminotriazine, and triazine indanone in a wide range of palm oil matrices using liquid chromatography–tandem mass spectrometry (LC-MS/MS).

Method
The optimized sample preparation workflows included two options: (1) acetonitrile extraction (QuEChERS workflow), followed by freezing at −80°C and (2) acetonitrile extraction, followed by cleanup through a C18 solid phase extraction (SPE) cartridge. The optimized LC runtime was 7 min. All these analytes were estimated by LC-MS/MS multiple reaction monitoring.

Results
Both sample preparation methods provided similar method performance and acceptable results. The limit of quantification (LOQ) of IND, IND-carboxylic acid, and triazine indanone was 0.001 mg/kg. For diaminotriazine, the LOQ was 0.005 mg/kg. The method accuracy and precision complied with the SANTE/12682/2019 guidelines of analytical quality control.

Conclusions
The potentiality of the method lies in a high throughput analysis of IND and its metabolites in a single chromatographic run with high selectivity and sensitivity. Considering its fit-for-purpose performance, the method can be implemented in regulatory testing of IND residues in a wide range of palm oil matrices that are consumed and traded worldwide.

Highlights
This work has provided a validated method for simultaneous residue analysis of indaziflam and its metabolites in crude palm oil and its derived matrices with high sensitivity, selectivity, and throughput.
Large mucinous cystic neoplasm of the pancreas during pregnancy: a case report
Authors: Carvalho Lúcia , Ferreira Tiago , Frutuoso Luísa , Matos Leonor , Castro Tiago , Rodrigues Domingos , Oliveira Vera , Gonçalves Gil , Nora Mário , Scigliano Horácio 
Published: March 2020

ABSTRACT
Mucinous cystic neoplasms (MCNs) of the pancreas occurring during pregnancy constitute a rare condition requiring special management due to its large size, malignant potential and the risk of fetal growth restriction. The key points to manage MCNs are to perform a correct diagnosis, accurately evaluate the grade of malignant potential in order to establish the right time for pancreatic surgery and to choose the most appropriate fetal mode of delivery. We describe a case of an incidental abdominal mass detected in a third-trimester pregnant woman. At surgery, a huge pancreatic cystic tumour was found and a distal pancreatectomy with splenic preservation was performed. The histopathological analysis revealed an MCN of the pancreas with low-grade dysplasia. To our knowledge, this is the largest pancreatic MCN detected in a pregnant woman reported in the literature and one of the few successfully resected after vaginal delivery.
Role of ureides in source-to-sink transport of photoassimilates in non-fixing soybean
Authors: Thu Sandi Win , Lu Ming-Zhu , Carter Amanda M , Collier Ray , Gandin Anthony , Sitton Ciera Chenoa , Tegeder Mechthild 
Published: March 2020

Abstract
Nitrogen (N)-fixing soybean plants use the ureides allantoin and allantoic acid as major long-distance transport forms of N, but in non-fixing, non-nodulated plants amino acids mainly serve in source-to-sink N allocation. However, some ureides are still synthesized in roots of non-fixing soybean, and our study addresses the role of ureide transport processes in those plants. In previous work, legume ureide permeases (UPSs) were identified that are involved in cellular import of allantoin and allantoic acid. Here, UPS1 from common bean was expressed in the soybean phloem, which resulted in enhanced source-to-sink transport of ureides in the transgenic plants. This was accompanied by increased ureide synthesis and elevated allantoin and allantoic acid root-to-sink transport. Interestingly, amino acid assimilation, xylem transport, and phloem partitioning to sinks were also strongly up-regulated. In addition, photosynthesis and sucrose phloem transport were improved in the transgenic plants. These combined changes in source physiology and assimilate partitioning resulted in increased vegetative growth and improved seed numbers. Overall, the results support that ureide transport processes in non-fixing plants affect source N and carbon acquisition and assimilation as well as source-to-sink translocation of N and carbon assimilates with consequences for plant growth and seed development.
A New Source for the History of Eighteenth-Century Bookselling: The Journal of Stephen Armitage
Authors: King Patrick J 
Published: March 2020

Abstract
This article brings to light and discusses a rare survival, the journal of an eighteenth-century bookdealer, identified here as the Irish seller Stephen Armitage (d. 1799). The journal details business and leisure activities in England and Ireland between 1776 and 1784 and includes ten contemporary topographical plates pasted in.
The impact of the fiducial cosmology assumption on BAO distance scale measurements
Authors: Carter Paul , Beutler Florian , Percival Will J , DeRose Joseph , Wechsler Risa H , Zhao Cheng 
Published: March 2020

ABSTRACT
Standard analysis pipelines for measurements of Baryon Acoustic Oscillations (BAO) in galaxy surveys make use of a fiducial cosmological model to guide the data compression required to transform from observed redshifts and angles to the measured angular and radial BAO peak positions. In order to remove any dependence on the fiducial cosmology from the results, all models compared to the data should mimic the compression and its dependence on the fiducial model. In practice, approximations are made when testing models: (1) There is assumed to be no residual dependence on the fiducial cosmology after reconstruction, (2) differences in the distance–redshift relationship are assumed to match a linear scaling, and (3) differences in clustering between true and fiducial models are assumed to be removed by the free parameters used to null the non-BAO signal. We test these approximations using the current standard measurement procedure with a set of halo catalogues from the aemulus suite of N-body simulations, which span a range of wCDM cosmological models. We focus on reconstruction of the primordial BAO and locating the BAO. For the range of wCDM cosmologies covered by the aemulus suite, we find no evidence for systematic errors in the measured BAO shift parameters α∥ and α⊥ to $\lt 0.1\%$. However, the measured errors $\sigma _{\alpha _{\parallel }}$ and $\sigma _{\alpha _{\bot }}$ show a notable absolute increase by up to +0.001 and +0.002, respectively, in the case that the fiducial cosmology does not match the truth. These effects on the inferred BAO scale will be important, given the precision of measurements expected from future surveys including DESI, Euclid, and WFIRST.
Local AGN survey (LASr): I. Galaxy sample, infrared colour selection, and predictions for AGN within 100 Mpc
Authors: Asmus D , Greenwell C L , Gandhi P , Boorman P G , Aird J , Alexander D M , Assef R J , Baldi R D , Davies R I , Hönig S F , Ricci C , Rosario D J , Salvato M , Shankar F , Stern D 
Published: March 2020

ABSTRACT
To answer major questions on supermassive black hole (SMBH) and galaxy evolution, a complete census of SMBH growth, i.e. active galactic nuclei (AGN), is required. Thanks to all-sky surveys by the Wide-field Infrared Survey Explorer (WISE) and the Spectrum-Roentgen-Gamma (SRG) missions, this task is now feasible in the nearby Universe. We present a new survey, the Local AGN Survey (LASr), with the goal of identifying AGN unbiased against obscuration and determining the intrinsic Compton-thick (CT) fraction. We construct the most complete all-sky galaxy sample within 100 Mpc ($90{{\ \rm per\ cent}}$ completeness for log (M*/M⊙) ∼ 9.4), four times deeper than the current reference, the Two Micron All-Sky Survey Redshift Survey (2MRS), which misses ${\sim}20{{\ \rm per\ cent}}$ of known luminous AGN. These 49k galaxies serve as parent sample for LASr, called LASr-GPS. It contains 4.3k already known AGN, $\ge 82{{\ \rm per\ cent}}$ of these are estimated to have $L^\mathrm{nuc}(12\, \mu \mathrm{m})\lt 10^{42.3}$ erg s−1, i.e. are low-luminosity AGN. As a first method for identifying Seyfert-like AGN, we use WISE-based infrared colours, finding 221 galaxies at $L^\mathrm{nuc}(12\, \mu \mathrm{m})\ge 10^{42.3}$ erg s−1 to host an AGN at $90{{\ \rm per\ cent}}$ reliability. This includes 61 new AGN candidates and implies an optical type 2 fraction of 50–71 per cent. We quantify the efficiency of this technique and estimate the total number of AGN with $L^\mathrm{int}(\rm {2-10\,keV})\ge 10^{42}$ erg s−1 in the volume to be $362^{+145}_{-116}$ ($8.6^{+3.5}_{-2.8}\, \times$ 10−5 Mpc−3). X-ray brightness estimates indicate the CT fraction to be 40–55 per cent to explain the Swift non-detections of the infrared selected objects. One third of the AGN within 100 Mpc remain to be identified, and we discuss the prospects for the eROSITA all-sky survey to detect them.