bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual-crosslinked 3D printed gelatin scaffolds with potential for temporomandibular joint cartilage regeneration
Authors: Helgeland Espen , Rashad Ahmad , Campodoni Elisabetta , Goksøyr Øyvind , Pedersen Torbjørn Østvik , Sandri Monica , Rosén Annika , Mustafa Kamal 
Published: February 2021

Abstract
A promising alternative to current treatment options for degenerative conditions of the temporomandibular joint (TMJ) is cartilage tissue engineering, using 3D printed scaffolds and mesenchymal stem cells. Gelatin, with its inherent biocompatibility and printability has been proposed as a scaffold biomaterial, but because of its thermoreversible properties, rapid degradation and inadequate strength it must be crosslinked to be stable in physiological conditions. The aim of this study was to identify non-toxic and effective crosslinking methods intended to improve the physical properties of 3D printed gelatin scaffolds for cartilage regeneration. Dehydrothermal (DHT), ribose glycation and dual crosslinking with both DHT and ribose treatments were tested. The crosslinked scaffolds were characterized by chemical, mechanical, and physical analysis. The dual-crosslinked scaffolds had the highest degree of crosslinking and the greatest resistance to hydrolytic and enzymatic degradation. Compared to the dual-crosslinked group, the ribose-crosslinked scaffolds had thinner printed strands, larger pore surface area and higher fluid uptake. The compressive modulus values were 2 kPa for ribose, 37.6 kPa for DHT and 30.9 kPa for dual-crosslinked scaffolds. None of the crosslinking methods had cytotoxic effects on the seeded rat bone marrow-derived mesenchymal stem cells (rBMSC). After 4 and 7 d, the dual-crosslinked scaffolds exhibited better cell proliferation than the other groups. Although all scaffolds supported chondrogenic differentiation of rBMSC, dual-crosslinked scaffolds demonstrated the lowest expression of the hypertrophy-related collagen 10 gene after 21 d. The results show that 3D printed gelatin scaffolds, when dually crosslinked with ribose and DHT methods, are not toxic, promote chondrogenic differentiation of rBMSC and have potential application in tissue engineering of TMJ condylar cartilage.
Environmental Influence Analysis of Global Gravity Anomaly Gradient Basing on Neighbourhood Satistics in GIS
Authors: Yang Chunlin 
Published: February 2021

Abstract
A series of abnormal environmental phenomena were found related with local earth gravity field anomaly through statistics and calculation analysis. Gravity anomaly gradient was used to describe gravity anomaly change in local extent. Total of 79% in earth surface gravity anomaly gradient express stable (<30 mGal/Degree), 7.37% area express major gravity anomaly gradient (> 50 mGal/Degree), of 3.43% area gravity anomaly gradient is very high (> 70 mGal/Degree). While gravity anomaly is over 30 mGal/Degree, there will may more easily appear sandstorm, tornadoes and haze weather, if thermodynamic conditions and material conditions are proper. Many natural disasters start from these areas, where gravity anomaly gradient is very high.
The Environmental Rehabilitation Research for Manhole Covers on City Roads
Authors: Cai Sonbai , He Feng , Li Dazhi , Zhu Peijuan , Liu Xiongfei , Chen Zheng 
Published: February 2021

Abstract
In order to facilitate inspection and maintenance for municipal public pipelines located below urban roads, more and more manholes were set up on the road surfaces. However, due to various inadequate design and construction etc., the manhole suffered most serious diseases such as collapse of wellhead, broken up of pavement around well, subsidence of manhole and damage of internal well structure. Which not only harms its life span, but also affects the driving safety and the city appearance. Firstly, this work investigated the manhole diseases of typical roads in cities of Changsha etc. and concluded that there are only two main types of road manhole diseases. The most prominent one is the pavement damages. The second one is the wellhead subsidence greater than 20mm. Secondly, the main causes of manhole disease was found out from the aspects of both design and construction. In design, the lack of details of wells and its surrounding backfill materials are main causes. In terms of construction, there are many problems such as insufficient attention to quality control, inadequate operation of key processes and lower level of construction refinement. Finally, systematic and comprehensive measures to deal with various kinds of diseases of manhole in not only design and construction but also prevention and restoration were presented.
The Research of the Automobile Industry in Wuhan on the Context of New Technology, New Energy and Intelligentization
Authors: Liu Quanhong , Wang Hongping , Peng Yun 
Published: February 2021

Abstract
Nowadays, China’s automobile manufacturing industry has developed rapidly and the overall quality has been steadily improved. After several years of rapid development, with the continuous progress of technology, new energy and intelligent technology began to popularize. However, the production and sales of self-owned brand passenger cars have shrunk greatly due to the decline of overall sales of passenger cars. As the headquarters of Dongfeng Motor Group, Wuhan has certain cluster advantages in R&D of self-owned brand vehicles, but it has been in a loss state in recent years, and there is an obvious gap between Wuhan and the first-line self-owned brands. Therefore, it is worth discussing how to seize the development opportunity, promote the quality of its brand and become a first-line brand. This paper analyses the development status, challenges, and bottlenecks of Wuhan self-owned automobile brand quality improvement under the development background of new technology, new energy and intelligent, and puts forward the strategy of Wuhan self-owned automobile brand quality improvement. This paper suggests that we should strictly implement the automobile quality regulations, establish the quality assurance and traceability system of self-owned brands, increase the support of new energy sources for self-owned brands and the development of intelligent car service, and build a quality basic technology sharing platform, so as to achieve the purpose of improving the quality of Wuhan’s self-owned automobile brands.
Investigation on Runaway Process in Power Generation Device: Tubular Turbine Based on IB-LBM Method
Authors: Tian Diyang , Zhu Guojun , Feng Jianjun , Ge Zhenguo , Li Wenfeng , Li Yunzhe 
Published: February 2021

Abstract
The immersed boundary lattice Boltzmann method (IB-LBM) was applied to numerically simulate the runaway process of tubular turbines with the influence of the free surface of upper and lower reservoirs. First, the accuracy of the IB-LBM method was verified, and then the external performance and internal flow characteristics of units during runaway process were studied. The results show that the gravity causes uneven pressure distribution at inlet of the turbine with considering the influence of the free surface of the reservoirs, resulting in complicated flow pattern, which cannot be ignored in the study. In the course of runaway, low-pressure area of draft tube changes periodically with a certain degree of cavitation occurring on pressure and suction surface of the blades, which threatens the overall operation stability of the unit.
Navigating across multi-dimensional space of tissue clearing parameters
Authors: Avilov Sergiy V 
Published: February 2021

Abstract
Optical tissue clearing refers to physico-chemical treatments which make thick biological samples transparent by removal of refractive index gradients and light absorbing substances. Although tissue clearing was first reported in 1914, it was not widely used in light microscopy until 21th century, because instrumentation of that time did not permit to acquire and handle images of thick (mm to cm) samples as whole. Rapid progress in optical instrumentation, computers and software over the last decades made micrograph acquisition of centimeter-thick samples feasible. This boosted tissue clearing use and development. Numerous diverse protocols have been developed. They use organic solvents or water-miscible substances, such as detergents and chaotropic agents; some protocols require application of electric field or perfusion with special devices. There is no ‘best-for-all’ tissue clearing method. Depending on the case, one or another protocol is more suitable. Most of protocols require days or even weeks to complete, thus choosing an unsuitable protocol may cause an important waste of time. Several inter-dependent parameters should be taken into account to choose a tissue clearing protocol, such as: (1) required image quality (resolution, contrast, signal to noise ratio etc), (2) nature and size of the sample, (3) type of labels, (4) characteristics of the available instrumentation, (5) budget, (6) time budget, and (7) feasibility. Present review focusses on the practical aspects of various tissue clearing techniques. It is aimed to help non-experts to choose tissue clearing techniques which are optimal for their particular cases.
A thermophysically balanced multiscale coarse-grained potential for glass-forming polymers with the energy renormalization method
Authors: Jung Jiwon , Park Chanwook , Yun Gun Jin 
Published: February 2021

Abstract
Coarse-grained molecular dynamics simulations are a widely accepted methodology in the field of studying the viscoelasticity of elastomers. In this paper, a thermophysically balanced multiscale coarse-grained potential for glass-forming polymers is presented with the energy renormalization (ER) method by redefining temperature transferable correlation effects between rescaling factors for energy parameter and length-scale parameter. The correlation effects have not been investigated in the literature, to the best knowledge of authors. The coarse-grained potential was demonstrated for the polyisoprene model generated from the anionic polymerization. The ER enables temperature transferability by adopting renormalization parameters as function of the temperature. Considering the correlation effects, a multi objective-optimization algorithm was adopted to find proper solution sets of

α

and

β

matching mean square displacement (MSD) and density to the all-atom model simultaneously. Meanwhile, shear stress was matched to find

α

first, then, density was fitted in the low-temperature regime. To verify the coarse-grained potential in the middle-temperature regime, MSD was compared to those from the all-atom model, and it was successfully matched.
Deep learning super-diffusion in multiplex networks
Authors: Leli Vito M , Osat Saeed , Tlyachev Timur , Dylov Dmitry V , Biamonte Jacob D 
Published: February 2021

Abstract
Complex network theory has shown success in understanding the emergent and collective behavior of complex systems Newman 2010 Networks: An Introduction (Oxford: Oxford University Press). Many real-world complex systems were recently discovered to be more accurately modeled as multiplex networks Bianconi 2018 Multilayer Networks: Structure and Function (Oxford: Oxford University Press); Boccaletti et al 2014 Phys. Rep.
544 1–122; Lee et al 2015 Eur. Phys. J. B
88 48; Kivelä et al 2014 J. Complex Netw.
2 203–71; De Domenico et al 2013 Phys. Rev. X
3 041022—in which each interaction type is mapped to its own network layer; e.g. multi-layer transportation networks, coupled social networks, metabolic and regulatory networks, etc. A salient physical phenomena emerging from multiplexity is super-diffusion: exhibited by an accelerated diffusion admitted by the multi-layer structure as compared to any single layer. Theoretically super-diffusion was only known to be predicted using the spectral gap of the full Laplacian of a multiplex network and its interacting layers. Here we turn to machine learning (ML) which has developed techniques to recognize, classify, and characterize complex sets of data. We show that modern ML architectures, such as fully connected and convolutional neural networks (CNN), can classify and predict the presence of super-diffusion in multiplex networks with 94.12% accuracy. Such predictions can be done in situ, without the need to determine spectral properties of a network.
Cuban Racial Politics in Nineteenth-Century New York: A Critical Digital Approach
Authors: Hoffnung-Garskof Jesse 
Published: February 2021

Abstract
This essay offers a reappraisal of the racial politics of the nineteenth-century Cuban independence struggle through an analysis of the experience, as migrants, of Rafael Serra and other Afro-descendant activists in New York. Serra was the leader of a community that worked with José Martí to create the Cuban Revolutionary Party (PRC). The author makes use of digital tools for network visualization and mapping to illustrate the evidence of both race-based (diasporic), class-based, and nationalist social networks among Serra’s constituents. These networks, created against a backdrop of highly localized residential segregation, facilitated a range of political strategies including the creation of race-based organizations, alliances with African Americans, and the more famous cross-racial coalitions of the PRC. Such strategies were not mutually exclusive, as has sometimes been presumed, but rather mutually dependent. In presenting this evidence, the author responds to recent work by Putnam on research “in the digital age” and follows Solberg’s call on digital humanities scholars to “give away our game,” presenting a critical self-appraisal of the digital methods, tools, and labor arrangements employed. Following Tufte and Theibault, he concludes that digital visual representations are useful to humanities scholars not because they generate or validate arguments, but because they can effectively illustrate arguments that rest on humanistic systems of analysis and evidence.
Slow History
Authors: Lindemann Mary 
Published: February 2021

Abstract
All historians realize how much COVID-19 has interfered with our scholarship and teaching. Everything has slowed down, from preparing for classes, to doing research, to completing the simplest tasks of everyday life. Yet in the upheaval we are currently experiencing, and as we struggle to remain productive, perhaps we should also seize the opportunity to think more deeply about the “doing” of history and to isolate what really matters in research, writing, and instruction. Scholars in other disciplines have been doing so for several years, and some have even issued manifestos like the one advocating for “slow science.” Should we follow their lead? “Is going slow good for historians as well?”
Nonsurgical Correction of Secondary Contour Deformities of the Penile Girth
Authors: Yordanov Yordan P 
Published: February 2021

Abstract

Background
Dealing with remaining penilе deformities following surgery to correct complications after injection of nonabsorbable substаnces tends to be troublesome. There is a lack of adequate information regarding the options for the management of such residual irregularities. In morе than 2 decades of clinical application, hyaluronic acid (HA) fillers have proved to be a safе and reliable solution fоr a great variety of age-related changes, tissue atrophy, and contour deformities.

Objectives
This brief clinical study aimed to demоnstrate the author’s initial еxperience with the novel use of an HA-based filler for the correction of secondary deformities of penile girth.

Methods
Rеtrospective analysis was conducted, encompassing patients who underwent correction of secondary penile deformities with HA between August 2018 and February 2020. Тhe procedures were carried оut in an ambulatory setting and a blunt cannula was used for filler infiltration. A 9-month follow-up was established.

Results
Five patients aged between 29 and 44 years (average, 35.8 years) were found and included in the study. The mean volumе of HA product used for the correction was 3.32 mL. An analysis of the outcomes demonstrated a high satisfaction ratе among pаtients with no complications in thе series.

Conclusions
The procedure is safe, effective, and relatively simple with reproducible and reliable outcomes. Due to its excellent spreading and good tissue integration, the selected HA filler was very useful in cases where fibrosis was present because of previous surgeries.

Level of Evidence: 4
Mice derived from in vitro αMEM-cultured preimplantation embryos exhibit postprandial hyperglycemia and higher inflammatory gene expression in peripheral leukocytes
Authors: Ishiyama Shiori , Kimura Mayu , Umihira Nodoka , Matsumoto Sachi , Takahashi Atsushi , Nakagawa Takao , Wakayama Teruhiko , Kishigami Satoshi , Mochizuki Kazuki 
Published: February 2021

ABSTRACT
We examined whether peripheral leukocytes of mice derived from in vitro αMEM-cultured embryos and exhibiting type 2 diabetes had higher expression of inflammatory-related genes associated with the development of atherosclerosis. Also, we examined the impact of a barley diet on inflammatory gene expression. Adult mice were produced by embryo transfer, after culturing two-cell embryos for 48 h in either α minimal essential media (α-MEM) or potassium simplex optimized medium control media. Mice were fed either a barley or rice diet for 10 weeks. Postprandial blood glucose and mRNA levels of several inflammatory genes, including Tnfa and Nox2, in blood leukocytes were significantly higher in MEM mice fed a rice diet compared with control mice. Barley intake reduced expression of S100a8 and Nox2. In summary, MEM mice exhibited postprandial hyperglycemia and peripheral leukocytes with higher expression of genes related to the development of atherosclerosis, and barley intake reduced some gene expression.
Subtype-GAN: a deep learning approach for integrative cancer subtyping of multi-omics data
Authors: Yang Hai , Chen Rui , Li Dongdong , Wang Zhe 
Published: February 2021

AbstractMotivationThe discovery of cancer subtyping can help explore cancer pathogenesis, determine clinical actionability in treatment, and improve patients' survival rates. However, due to the diversity and complexity of multi-omics data, it is still challenging to develop integrated clustering algorithms for tumor molecular subtyping.ResultsWe propose Subtype-GAN, a deep adversarial learning approach based on the multiple-input multiple-output neural network to model the complex omics data accurately. With the latent variables extracted from the neural network, Subtype-GAN uses consensus clustering and the Gaussian Mixture model to identify tumor samples' molecular subtypes. Compared with other state-of-the-art subtyping approaches, Subtype-GAN achieved outstanding performance on the benchmark datasets consisting of ∼4000 TCGA tumors from 10 types of cancer. We found that on the comparison dataset, the clustering scheme of Subtype-GAN is not always similar to that of the deep learning method AE but is identical to that of NEMO, MCCA, VAE and other excellent approaches. Finally, we applied Subtype-GAN to the BRCA dataset and automatically obtained the number of subtypes and the subtype labels of 1031 BRCA tumors. Through the detailed analysis, we found that the identified subtypes are clinically meaningful and show distinct patterns in the feature space, demonstrating the practicality of Subtype-GAN.Availabilityand implementationThe source codes, the clustering results of Subtype-GAN across the benchmark datasets are available at https://github.com/haiyang1986/Subtype-GAN.Supplementary informationSupplementary data are available at Bioinformatics online.
Graph contextualized attention network for predicting synthetic lethality in human cancers
Authors: Long Yahui , Wu Min , Liu Yong , Zheng Jie , Kwoh Chee Keong , Luo Jiawei , Li Xiaoli 
Published: February 2021

Abstract

Motivation
Synthetic Lethality (SL) plays an increasingly critical role in the targeted anticancer therapeutics. In addition, identifying SL interactions can create opportunities to selectively kill cancer cells without harming normal cells. Given the high cost of wet-lab experiments, in silico prediction of SL interactions as an alternative can be a rapid and cost-effective way to guide the experimental screening of candidate SL pairs. Several matrix factorization-based methods have recently been proposed for human SL prediction. However, they are limited in capturing the dependencies of neighbors. In addition, it is also highly challenging to make accurate predictions for new genes without any known SL partners.

Results
In this work, we propose a novel graph contextualized attention network named GCATSL to learn gene representations for SL prediction. First, we leverage different data sources to construct multiple feature graphs for genes, which serve as the feature inputs for our GCATSL method. Second, for each feature graph, we design node-level attention mechanism to effectively capture the importance of local and global neighbors and learn local and global representations for the nodes, respectively. We further exploit multi-layer perceptron (MLP) to aggregate the original features with the local and global representations and then derive the feature-specific representations. Third, to derive the final representations, we design feature-level attention to integrate feature-specific representations by taking the importance of different feature graphs into account. Extensive experimental results on three datasets under different settings demonstrated that our GCATSL model outperforms 14 state-of-the-art methods consistently. In addition, case studies further validated the effectiveness of our proposed model in identifying novel SL pairs.

Availabilityand implementation
Python codes and dataset are freely available on GitHub (https://github.com/longyahui/GCATSL) and Zenodo (https://zenodo.org/record/4522679) under the MIT license.

Supplementary information
Supplementary data are available at Bioinformatics online.