bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat conduction mechanism in silica aerogel skeleton
Authors: Luo Z Y , Su G H , Yang Z C 
Published: August 2020

Abstract
In order to study the specific heat conduction process of silica aerogels, a three-dimensional random fractal skeleton model of aerogels was generated by using the diffusion-limited cluster aggregation (DLCA) method to simulate the gel process. Based on the idea of finite volume method, a numerical model of heat conduction in porous framework was established and verified. The three-dimensional temperature field and apparent thermal conductivity of the skeleton were calculated. The results show that when the initial particle concentration is 0.0764 ~ 0.191, the fractal dimension range of the skeleton model is 2.0 ~ 2.45, which is consistent with the measured value. However, in the plane perpendicular to the heat flow direction, the particle temperature is not exactly the same, which can be approximately described by normal distribution. The apparent thermal conductivity of the skeleton is three orders of magnitude lower than that of the bulk material, which can be attributed to its open form network structure.
Simulation Study of Micro Interface Damage of Particle Reinforced Metal Matrix Composites on Vibration Cutting
Authors: Yang Liang , Xu Chunguang , Wang Zhengjiang 
Published: August 2020

Abstract
The finite element simulation of the micro interface of SiCp/Al composites under ultrasonic vibration cutting is described. The constitutive relationship of the matrix, SiC particles and interface is analyzed respectively, and a “matrix-interface-particle” dynamic physical simulation model is given. The cutting conditions of a single particle in three different cutting paths are simulated, and the removal mechanism and interface damage characteristics of SiC particles is analyzed. The reliability of the simulation results is analyzed by observing the SEM photos of the experimental samples.
Experimental study of one-part geopolymer using different alkali sources
Authors: Ouyang Shuntian , Chen Weiquan , Zhang Zongtang , Li Xinming , Zhu Wenfeng 
Published: August 2020

Abstract
This paper investigates the feasibility of combining different solid alkali materials as activator to prepare one-part geopolymer mortars. The effects of different composite solid activators on aluminosilicate materials were studied and compared with the traditional water glass and sodium hydroxide composite solution activator through the measurement of fresh and harden properties and microstructural analysis. The results showed that sodium metasilicate pentahydrate was more suitable than quick-dissolving sodium silicate for preparation of geopolymer. The addition of sodium carbonate and calcium hydroxide in solid activator enhanced the compressive strength and decreased the setting time and flowability of the mixes. The highest compressive strength (47.4 MPa, 28 d) was obtained with the activators consisting of sodium metasilicate pentahydrate and sodium carbonate. While scanning electron microscope (SEM) analysis indicated that micro-pores left by the dissolution of metasilicate particles might have an adverse effect on the mechanical properties of mortar samples.
Experimental study on high-temperature stability of rubber powder-modified Asphalt mixture
Authors: Sun Jie , Wei Bingyan , Zhang Yao , Yang Jing 
Published: August 2020

Abstract
Waste rubber powder-modified asphalt can not only improve the asphalt pavement performance but can also solve the environmental pollution problem caused by waste tires. In this paper, through rutting tests, the effects of three different factors, the rubber powder content, rubber powder mesh number, and hydrogen peroxide content, on high-temperature stability of the mixture are systematically studied. The results reveal that the optimum rubber powder mesh is 60 mesh and the best rubber powder content is 21% for high-temperature stability of a rubber-modified asphalt mixture. At the same time, hydrogen peroxide can improve the high-temperature stability of the asphalt mixture.
Synthesis and properties of Ni-doped carbon aerogel
Authors: Wang Shasha , Zhang Lihui , Liu Zhenfa 
Published: August 2020

Abstract
Ni-doped carbon aerogels were synthesized by impregnation methods, their physical structure and surface morphology were studied. The results show that adding Ni is beneficial to increase the specific surface area of CA, but too much Ni will block some holes. The SEM images possess closer network structure and excellent connectivity. The XRD and Raman patterns show the addition of Ni can enhance the graphitization degree of carbon aerogels.
Size dependent photoelectrochemical performance of eco-friendly CuInS2 quantum dots
Authors: Wang Changmeng 
Published: August 2020

Abstract
Colloidal quantum dots (QDs) are considered as new energy materials with great potential, especially environmentally friendly QDs that do not contain heavy metals. Compared with heavy metal QDs, non-toxic QDs still suffer low performance in photovoltaic (PV) as well as photoelectrochemical (PEC) applications. The fabrication of high-performance PV devices from environmentally friendly QDs has become the focus of researchers. Before moving to experiments, the theoretical aspect is a very good way to deeply understand the charge carrier dynamics inside the QDs, which can provide possible solutions to improve the PEC performance of the QDs based photoelectrodes. Here, we report the successful synthesis of eco-friendly CuInS2(CIS) QDs with variable particle size. Through time-domain PL spectroscopy, we found that the photoluminescence (PL) lifetime gradually decreased from 273.2 ns to 172.9 ns as the size of CIS QDs increased. By theoretical calculations we also studied the dynamics of electrons and holes. The theoretical studies revealed that as the size of CIS QDs increases, the wave functions of the overlap between the electron and impurity hole increases leading to the decreased PL lifetime.
Enhancing the electrochemical performance of LiNi0.5Mn1.5O4 by V2O5-modification for Li-ion batteries
Authors: Wei Aijia , He Rui , Zhang Lihui , Liu Zhenfa 
Published: August 2020

Abstract
The 2 wt.% V2O5-modified LiNi0.5Mn1.5O4 material has been prepared by a sol-gel method. The as-prepared samples were characterized by XRD and SEM. XRD result shows V2O5-modification process did not destroy the structure of spinel LNMO. The electrochemical results show that the 2 wt.% V2O5-modified LiNi0.5Mn1.5O4 sample exhibits a higher rate performance with discharge capacities of 133.3, 131.3, 129.8, 125.8, 120.1, 103.2, and 79.0 mAh g−1 at 0.2, 0.5, 1, 2, 3, 5, and 7 C, respectively. Moreover, the 2 wt.% V2O5-modified LiNi0.5Mn1.5O4 provides an enhanced discharge capacity of 116.2 mAh g−1 after 200 cycles at 1 C, having a capacity retention of 91.6%, high than that of pure LNMO with a discharge capacity of 103.0 mAh g−1 and capacity retention of 85.3%.
Contact surface roughness analysis of pile and soil using ABS 3D printing materials
Authors: Sun Tingting , Yang Jixin , Zhang Zhihua , Yang Jingnan , Zhang Xuan , Ling Zhongshui 
Published: August 2020

Abstract
It is more difficult to measure the side resistance of the soil-structure contact surface during the pile pulling process. Only overcome the side resistance can be pulled out smoothly on the pile. Three kinds of test specimens were printed out by 3D printing equipment of the Acrylonitrile Butadiene Styrene (ABS) material to simulate the roughness of the soil-structure interface. The basic physical properties of two types of soil under the geological conditions of the pile to be pulled are tested through the geotechnical test, and the soil-structure constitutive theory and the roughness theory are introduced. The distribution of maximum shear stress at the contact surface is obtained by direct shear tests on the test specimens with different roughness, and the shear stage is analyzed with the contact surface. The results demonstrate that the mechanical properties of yellow clay are better than black clay for the two types of soil on the pile side. The shear stress changes with the increase of roughness and normal load during the direct shear process, which the maximum values of the two types of soil are at 60% of roughness and 300 kPa of normal load.
Co2P Embedded into P and N Dual-Doped Carbon Nanotubes and Graphene as a Bifunctional Oxygen Electrocatalyst
Authors: Shao Q , Wang H G , Duan Q 
Published: August 2020

Abstract
The reasonable design of inexpensive and efficient bifunctional electrocatalyst towards oxygen reduction reaction (ORR) and oxygen evolution reaction (OER) is still challenging for Zn-air batteries. Herein, a novel and effective design is proposed to fabricate Co2P nanoparticles encapsulated in doped carbon nanotubes and rGO sheets (Co2P/NPCNTs-rGO) through a direct self-catalyzed growth procedure. That is, cobalt phthalocyanine derivatives as the cobalt sources are not only employed to form Co2P nanoparticles, but also used to catalyze the formation of CNTs and rGO. Benefiting from the unique structure and composition, the Co2P/NPCNTs-rGO-800 shows significant OER (overpotential of 420 mV) and ORR (half-wave potential of 0.73 V) properties. Most importantly, the activity parameter of Co2P/NPCNTs-rGO-800 (ΔE=0.92 V) is comparable to that of RuO2(0.91 V) and lower than that of Pt/C (1.05 V), indicating that Co2P/NPCNTs-rGO-800 is of a good comprehensive ORR/OER bifunctional performance. This work provides an effective strategy for the synthesis of outstanding multifunctional catalysts for wider practical applications.
Conjugated Cobalt (II) Polyphthalocyanine Doped with Carbon Nanotubes as Available Electrode for Supercapacitors
Authors: Mei L , Wang H G , Duan Q 
Published: August 2020

Abstract
The use of organic compounds to meet the growing demand for new energy storage systems has attracted great attention, because they have the advantages of abundant resources, flexibility, and sustainability, which can be used as supercapacitor electrode materials. In this work, based on the synthetic metal polyphthalocyanine, carbon nanotube-doped conjugated cobalt (II)-polyphthalocyanine film was further used as an electrode material for supercapacitors. The results show that the obtained CoPPc-CNT has good electrochemical performance. The results show that by combining an organic material with a carbon matrix to prepare a composite material, the electronic conductivity can be effectively improved for supercapacitors.
Zein/phenolic antioxidant nanoparticles stabilized Pickering emulsions: Effect of antioxidant hydrophobicity on lipid oxidation
Authors: Zhao Zijun , Xiao Jie , Wang Wenbo , Cao Yong 
Published: August 2020

Abstract
Due to the presence of oils and fats, emulsions undergo lipid oxidation during storage, resulting in deterioration in sensory and nutritional qualities of emulsions. Phenolic antioxidants are widely used in inhibiting lipid oxidation. We found that phenolic antioxidants could form composite nanoparticles with zein and could be utilized to prepare Pickering emulsions with strong oxidative stability. Phenolic antioxidants with different hydrophobicity (octyl gallate, Propyl gallate and gallic acid) were fabricated into nanoparticles with zein (namely, Z/OG, Z/PG, Z/GA), and the oxidative stability of the as-prepared emulsions were much stronger than Tween 20 stabilized emulsions. And the Z/OG stabilized emulsions showed stronger oxidative stability than those stabilized by Z/PG and Z/GA. We also found that the antioxidative efficiency of octyl gallate was significantly higher than propyl gallate and gallic acid in Tween 20 stabilized emulsions. Compared with the Tween 20 stabilized emulsions, the difference in antioxidation efficiency between octyl gallate, propyl gallate and gallic acid was more obvious in the Pickering emulsions due to the combined effect of physical barrier and phenolic antioxidants. The results of this study help us to improve the antioxidant efficiency of phenolic antioxidants via the rational selection of antioxidant and a well-designed Pickering stabilization strategy.
Influences of four kinds of calcium salts on the functional performances of gelatin composite films
Authors: Yu Hong , Lin Wenxing , Yu Peng 
Published: August 2020

Abstract
Fish gelatin films were prepared with gelatin as the main raw material and four kinds of salts, including CaCl2, CaSO4, hydroxyapatite and Ca3(PO4)2, as the auxiliary reagents. The types of the anions and the concentrations of the calcium salts could affect the light transmission, swelling ratio, tensile strength, and elongation at break of gelatin films. The relationship between them was studied in this paper. The experimental data were analyzed and it is noted that the swelling ratio of the gelatin film was improved after adding the calcium salts. The swelling ratio of the hydroxyapatite/gelatin composite film was significantly bigger than that of other composite films. There is no significant effect on the light transmittance of the gelatin film after adding the calcium salts. The improved mechanical performances were found in the composite gelatin films by adding calcium chloride, calcium sulfate, and calcium phosphate. In comparison, calcium phosphate performed the greatest influence on improving the mechanical performances of the composite films.
Reconstructing full-field flapping wing dynamics from sparse measurements
Authors: Johns William , Davis Lisa , Jankauski Mark 
Published: August 2020

Abstract
Flapping insect wings deform during flight. This deformation benefits the insect’s aerodynamic force production as well as energetic efficiency. However, it is challenging to measure wing displacement field in flying insects. Many points must be tracked over the wing’s surface to resolve its instantaneous shape. To reduce the number of points one is required to track, we propose a physics-based reconstruction method called system equivalent reduction expansion processes to estimate wing deformation and strain from sparse measurements. Measurement locations are determined using a weighted normalized modal displacement method. We experimentally validate the reconstruction technique by flapping a paper wing from 5–9 Hz with 45° and measuring strain at three locations. Two measurements are used for the reconstruction and the third for validation. Strain reconstructions had a maximal error of 30% in amplitude. We extend this methodology to a more realistic insect wing through numerical simulation. We show that wing displacement can be estimated from sparse displacement or strain measurements, and that additional sensors spatially average measurement noise to improve reconstruction accuracy. This research helps overcome some of the challenges of measuring full-field dynamics in flying insects and provides a framework for strain-based sensing in insect-inspired flapping robots.
A note on devising HDG+ projections on polyhedral elements
Authors: Du Shukai , Sayas Francisco-Javier 
Published: August 2020

In this paper, we propose a simple way of constructing HDG+ projections on polyhedral elements. The projections enable us to analyze the Lehrenfeld–Schöberl HDG (HDG+) methods in a very concise manner, and make many existing analysis techniques of standard HDG methods reusable for HDG+. The novelty here is an alternative way of constructing the projections without using

M
M

-decompositions as a middle step. This extends our previous results [S. Du and F.-J. Sayas, SpringerBriefs in Mathematics (2019)] (elliptic problems) and [S. Du and F.-J. Sayas, Math. Comp. 89 (2020), pp. 1745–1782] (elasticity) to polyhedral meshes.
Unbalanced polarized relations
Authors: Garti Shimon 
Published: August 2020

We prove the consistency of the relation(μ+μ)↛(μ+ ω1μμ)\binom {\mu ^+}{\mu }\nrightarrow \binom {\mu ^+\ \omega _1}{\mu \quad \mu }whereμ\muis a strong limit singular cardinal of countable cofinality. This result can be forced atμ=ℵω\mu =\aleph _\omega.
A proteomic analysis of grain yield-related traits in wheat
Authors: Daba Sintayehu D , Liu Xiaoqin , Aryal Uma , Mohammadi Mohsen 
Published: August 2020

Abstract
Grain yield, which is mainly contributed by tillering capacity as well as kernel number and weight, is the most important trait to plant breeders and agronomists. Label-free quantitative proteomics was used to analyse yield-contributing organs in wheat. These were leaf sample, tiller initiation, spike initiation, ovary and three successive kernel development stages at 5, 10 and 15 days after anthesis (DAA). We identified 3182 proteins across all samples. The largest number was obtained for spike initiation (1673), while the smallest was kernel sample at 15 DAA (709). Of the 3182 proteins, 296 of them were common to all seven organs. Organ-specific proteins ranged from 148 in ovary to 561 in spike initiation. When relative protein abundances were compared to that of leaf sample, 347 and 519 proteins were identified as differentially abundant in tiller initiation and spike initiation, respectively. When compared with ovary, 81, 35 and 96 proteins were identified as differentially abundant in kernels sampled at 5, 10 and 15 DAA, respectively. Our study indicated that two Argonaute proteins were solely expressed in spike initiation. Of the four expansin proteins detected, three of them were mainly expressed during the first 10 days of kernel development after anthesis. We also detected cell wall invertases and sucrose and starch synthases mainly during the kernel development period. The manipulation of these proteins could lead to increases in tillers, kernels per spike or final grain weight, and is worth exploring in future studies.
Pollinators drive floral evolution in an Atlantic Forest genus
Authors: Neves Beatriz , Kessous Igor M , Moura Ricardo L , Couto Dayvid R , Zanella Camila M , Antonelli Alexandre , Bacon Christine D , Salgueiro Fabiano , Costa Andrea F 
Published: August 2020

AbstractPollinators are important drivers of angiosperm diversification at both micro- and macroevolutionary scales. Both hummingbirds and bats pollinate the species-rich and morphologically diverse genus Vriesea across its distribution in the Brazilian Atlantic Forest. Here, we (i) determine if floral traits predict functional groups of pollinators as documented, confirming the pollination syndromes in Vriesea and (ii) test if genetic structure in Vriesea is driven by geography (latitudinal and altitudinal heterogeneity) or ecology (pollination syndromes). We analysed 11 floral traits of 58 Vriesea species and performed a literature survey of Vriesea pollination biology. The genealogy of haplotypes was inferred and phylogenetic analyses were performed using chloroplast (rps16-trnk and matK) and nuclear (PHYC) molecular markers. Floral traits accurately predict functional groups of pollinators in Vriesea. Genetic groupings match the different pollination syndromes. Species with intermediate position were found between the groups, which share haplotypes and differ morphologically from the typical hummingbird- and bat-pollinated flowers of Vriesea. The phylogeny revealed moderately to well-supported clades which may be interpreted as species complexes. Our results suggest a role of pollinators driving ecological isolation in Vriesea clades. Incipient speciation and incomplete lineage sorting may explain the overall low genetic divergence within and among morphologically defined species, precluding the identification of clear species boundaries. The intermediate species with mixed floral types likely represent a window into shifts between pollinator syndromes. This study reports the morphological-genetic continuum that may be typical of ongoing pollinator-driven speciation in biodiversity hotspots.
SOLQC: Synthetic Oligo Library Quality Control tool
Authors: Sabary Omer , Orlev Yoav , Shafir Roy , Anavy Leon , Yaakobi Eitan , Yakhini Zohar 
Published: August 2020

Abstract

Motivation
Recent years have seen a growing number and an expanding scope of studies using synthetic oligo libraries for a range of applications in synthetic biology. As experiments are growing by numbers and complexity, analysis tools can facilitate quality control and support better assessment and inference.

Results
We present a novel analysis tool, called SOLQC, which enables fast and comprehensive analysis of synthetic oligo libraries, based on NGS analysis performed by the user. SOLQC provides statistical information such as the distribution of variant representation, different error rates and their dependence on sequence or library properties. SOLQC produces graphical reports from the analysis, in a flexible format. We demonstrate SOLQC by analyzing literature libraries. We also discuss the potential benefits and relevance of the different components of the analysis.

Availability and implementation
SOLQC is a free software for non-commercial use, available at https://app.gitbook.com/@yoav-orlev/s/solqc/. For commercial use please contact the authors.

Supplementary information
Supplementary data are available at Bioinformatics online.
DELPHI: accurate deep ensemble model for protein interaction sites prediction
Authors: Li Yiwei , Golding G Brian , Ilie Lucian 
Published: August 2020

Abstract

Motivation
Proteins usually perform their functions by interacting with other proteins, which is why accurately predicting protein–protein interaction (PPI) binding sites is a fundamental problem. Experimental methods are slow and expensive. Therefore, great efforts are being made towards increasing the performance of computational methods.

Results
We propose DEep Learning Prediction of Highly probable protein Interaction sites (DELPHI), a new sequence-based deep learning suite for PPI-binding sites prediction. DELPHI has an ensemble structure which combines a CNN and a RNN component with fine tuning technique. Three novel features, HSP, position information and ProtVec are used in addition to nine existing ones. We comprehensively compare DELPHI to nine state-of-the-art programmes on five datasets, and DELPHI outperforms the competing methods in all metrics even though its training dataset shares the least similarities with the testing datasets. In the most important metrics, AUPRC and MCC, it surpasses the second best programmes by as much as 18.5% and 27.7%, respectively. We also demonstrated that the improvement is essentially due to using the ensemble model and, especially, the three new features. Using DELPHI it is shown that there is a strong correlation with protein-binding residues (PBRs) and sites with strong evolutionary conservation. In addition, DELPHI’s predicted PBR sites closely match known data from Pfam. DELPHI is available as open-sourced standalone software and web server.

Availability and implementation
The DELPHI web server can be found at delphi.csd.uwo.ca/, with all datasets and results in this study. The trained models, the DELPHI standalone source code, and the feature computation pipeline are freely available at github.com/lucian-ilie/DELPHI.

Supplementary information
Supplementary data are available at Bioinformatics online.
STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data
Authors: Andreatta Massimo , Carmona Santiago J 
Published: August 2020

Abstract

Summary
STACAS is a computational method for the identification of integration anchors in the Seurat environment, optimized for the integration of single-cell (sc) RNA-seq datasets that share only a subset of cell types. We demonstrate that by (i) correcting batch effects while preserving relevant biological variability across datasets, (ii) filtering aberrant integration anchors with a quantitative distance measure and (iii) constructing optimal guide trees for integration, STACAS can accurately align scRNA-seq datasets composed of only partially overlapping cell populations.

Availability and implementation
Source code and R package available at https://github.com/carmonalab/STACAS; Docker image available at https://hub.docker.com/repository/docker/mandrea1/stacas_demo.