bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microstructure and phase composition of Al-Nb metal-matrix composites produced by shear deformation under pressure
Authors: Danilenko V N , Kiekkuzhina L U , Nazarov K S , Mulyukov R R 
Published: January 2021

Abstract
Al and Nb billets with a coarse grain structure in the form of thin discs were stacked in the order of Al-Nb-Al and then deformed by shear under pressure. After the deformation the samples were annealed at 500°C for 30 min. The formation of an intermetallic compound AUNb was revealed by using X-ray diffraction and energy-dispersive spectroscopy. After postdeformation annealing, the amount of this compound increased. At the same time, the study of microhardness demonstrates a decrease of the value of microhardness after post-deformation annealing.
Dynamics of supersonic N-crowdions in bcc tungsten
Authors: Murzaev R T , Korznikova E A , Dmitriev S V 
Published: January 2021

Abstract
An interstitial atom placed in a close-packed atomic row of a crystal is called a crowdion. Such defects are highly mobile; they can move along the close-packed row at subsonic and even supersonic speeds, transferring mass and energy. In this paper, we consider the initial conditions for excitation of N-crowdions, in which N-atoms move simultaneously with high speed. The most efficient methods for initiating supersonic N-crowdions with N = 2 and 4 are demonstrated using molecular dynamics modelling for bcc tungsten.
Concentration wave method for description of all possible energy states of A2BC ordered alloy
Authors: Khalikov A R , Nguen V T , Valitov V A , Dmitriev S V 
Published: January 2021

Abstract
The procedure for describing all possible energy states of an alloy based on the concentration wave method proposed by Khachaturian is employed to describe all possible energy states of ordered A
2
BC alloy based on N-dimensional lattice. Within the framework of this method, a complete enumeration of the structures obtained by the superposition of N plane concentration waves with all possible wave vectors is carried out, provided that the given stoichiometry is preserved. For each such superposition, the order parameters on the first I coordination spheres are calculated, thereby determining the point in the I-dimensional order parameter space corresponding to the given structure. For the case of I = 2 it is shown that a complete enumeration of all structures generated by one plane concentration wave fills a non-convex figure in the space of two order parameters.
Properties of one-dimensional nonlinear vibrational modes in triangular lattice with Lennard-Jones interactions
Authors: Sunagatova I R , Subkhangulova A M , Semenova M N , Borisov D I , Semenov A S , Dmitriev S V 
Published: January 2021

Abstract
Crystal lattices support delocalized nonlinear vibrational modes (DNVMs), which are determined solely by the lattice point symmetry, and are exact solutions of the equations of atomic motion for any interatomic potential. DNVMs can be used for setting initial conditions to excite spatially localized vibrational modes called discrete breathers (DBs). In this study, DNVMs derived for instability can result in the formation of localized vibrational modes concentrating a significant part of the lattice energy. In some cases, localized vibrational modes can be obtained by imposing localizing functions upon DNVM.
Modelling of WEDM Parameters Using Taguchi & Fuzzy Logic
Authors: Sharma Siddharth , Goyal Ashish , Sharma Love Kishore 
Published: January 2021

Abstract
This work highlights the Fuzzy Logic approach for predicting best operating parameters of WEDM. This process is attracting the industries/researchers due to precision in machining. The only limitations that exist are high tool costing and lower value of finished surface. Four parameters are opted for conducting experiments viz Ton, Toff, Wire Feed & Current and their impacts are calculated for SRR and Ra. The DOE is done using Taguchi (L9) OA. ANOVA test for identification of parameters with high significance is considered.
Uncontaminating Concrete Mix Using Sugarcane Bagasse Ash: A Review on its Hardened Properties
Authors: Philip R B , Das G N , Kuriakose S K , Jacob D , Prabha A S 
Published: January 2021

Abstract
Concrete is one among the most used material for construction other than water. Cement is the important constituent of concrete. During the production of cement high amount of carbon dioxide is emitted and is responsible for global warming. High amount of cement production is causing environmental problem. Use of agro-waste materials like bagasse ash, increases the strength characteristics of concrete and also causes proper disposal of the waste materials. In this paper, use of sugarcane bagasse ash, an agro-waste product, as a partial replacement of the cement in concrete mix and its effect on the strength parameters of concrete are also identified on the basis of compressive strength, spilt tensile strength and flexural strength. This waste usage is very economical and also have positive impacts on minimizing environmental pollutions.
Parametric optimization of TIG welding of duplex stainless steel without filler rod by PCA method
Authors: Mondal S. , Nandi G. , Pal P. K. 
Published: January 2021

Abstract
The weld quality is mostly depended on the welding input factors. Welding quality is controlled by appropriately controlling the using process factors with sound knowledge base. The major influencing Tungsten Inert Gas (TIG) welding parameters are welding current, gas flow rate and speed of the welding. Controlling these parameters, the quality of the Duplex Stainless Steel (DSS) welding joints are improved. These welding process parameters are optimized to achieve the better quality of DSS welding joints. Here, the Principal Component Analysis (PCA) method and concept of Taguchi’s signal to noise ratio (S/N) are used to optimize the above TIG welding process parameters of UNS 2205 DSS. The quality of the TIG welding of DSS has been evaluated in term of tensile test. Statistical tool like Analysis of Variance (ANOVA) is applied to evaluate the significance of the individual factors on the desired responses like ultimate tensile strength, yield strength etc. The optimal result is verified by the additional experiment. This result shows the application possibility of the PCA method for incessant development of welding quality of DSS in many fields, like chemical industries, oil & gas refineries, manufacturing industries etc.
Analysis of a Structure for Efficient Energy Utilization Using Design Builder
Authors: Bharath B , Sami Abdus , Rastogi Kartikeya 
Published: January 2021

Abstract
A major concern for the Indian Construction industry is its negligence of energy efficiency aspects of the various building projects being undertaken nowadays. Moreover, it is a concern for the citizens as well. Heat island and climate change phenomenon has led to a massive increment in the ambient temperatures, intensified reliance on energy resources, created discomfort conditions. By 2030, India’s dependence on energy imports is expected to exceed 53% of the country’s total energy consumption [5]. As growth is inevitable, a multifaceted and scalable solution is needed to temper the environmental impacts of growing cities. The growth in the cities leads to hot urban environments. The temperature variation between urban areas and adjacent rural areas is called the “heat island phenomenon”. It is found that the heat island phenomenon triples the peak electricity demand, doubles the building’s cooling load, and reduces the mechanical cooling system’s coefficient of performance by 25% [5]. To ease our lives in such a climate we need to invent the cooling techniques and those too are energy and cost-efficient. Many of the environmentalists and architects are putting forward their contributions toward it, suggesting solutions to make use of more and more sustainable systems of energy not like those being practiced in earlier times like courtyards and cavities but newer techniques which merges out with the present form of architecture, few of which are namely, the green roof techniques, terracotta pot, outdoor cooling systems. In this paper, we have analysed the Academic Block 4 building of our college and estimated the size of an outdoor cooling plant based on weather data, occupancy, and constructional details of the building such as heat absorbed by various facades due to internal and solar gains, etc.
Combustion analysis of porous radiant burner for commercial cooking applications
Authors: Sharma Loveneesh , Sehgal Satbir Singh , Tonk Ravinder , Chhabra Saurabh 
Published: January 2021

Abstract
High efficiency and low efficiency were observed by using porous burner technology for commercial cooking. The whole research consists of survey of these three types of burners. Like burners diameter having convergent 100mm, straight 100mm and80mm divergent shape burner. LPG is the fuel i.e. liquid petroleum gas is used in the all experiment. The two zones combustion and preheating zones comprise by a porous burner. Preheating zone having steel balls of width 6.5mm where combustion zone has Sic matric of 10ppi was used. 150mm is the constant altitude of three burners comprise of combustion zone and having equivalence ratio from 0.10-0.60. The range at which burner was operated 79% is the maximum efficiency analyzed for porous burner having dimensions like 100mm diameter at power equal to 0.84 kW and equivalence ratio (Φ) equal to 0.49.
Identification of Fruits Using Deep Learning Approach
Authors: Bongulwar Deepali M 
Published: January 2021

Abstract
The paper intends to build a Model for the identification and classification of fruits using the concept of deep learning. The objective is to build an automatic system for feature extraction using convolutional neural networks. The system can sort the fruits. It can be put-to-use in checking the condition of fruits, whether they are fresh or not. The self-service system in the retail market can use it to identify fruits. The proposed system uses high quality ‘ImageNet’ dataset. The dataset consists of five different categories of fruit images. Dataset is very challenging. The model uses Convolutional Neural Networks to identify fruits from images. The accuracy obtained is 92.23%. Deep learning outperforms machine learning algorithms.
Serrated flow behaviors in a Ni-based superalloy
Authors: Zhang Xiaoyang , Dong Ruifeng , Zhao Yuhong , Liu Dong , Yang Ling , Hou Hua 
Published: January 2021

Abstract
Serrated flow behaviors in Ni-20Cr-18W alloy were studied under different deformation conditions. It was found that there are no serrations observed on the tensile curves of the alloy at the temperature of lower than 250 °C and the strain rate of 10−3 s−1. As the deformation temperature improves, the serrations first starts with the type A (250 °C) and transfers to the mixed type A + B (300 °C and 400 °C), then to the mixed type B + C (500 °C). Meanwhile, the serration behaviors are closely related with the strain rate. It showed that when the deformation temperature is fixed, the serration curves starts with the type A (10−3 s−1), then transfers to the mixed type A + B (10−2 s−1) and eventually to type D (10−1 s−1) with the increasing strain rates from 10−3 s−1 to 10−1 s−1. Results showed that the serration behaviors of the alloy are related to the normal PLC effect. Combined with the McCormick’s model, the activation energy for the serrated flow behavior in this alloy is calculated to be 103.386 kJ mol−1 and the value of m + β to be 2.514, which suggests that the serrated flow of Ni-20Cr-18W superalloy is related to the interplay between the substitutional solute atoms and the movable dislocations.
The role of twist on tensile and frictional characteristics of aramid filament yarns (AFYs)
Authors: Ding Zuowei , Zhao Huihui , Hu Wanjin , Wang Rui 
Published: January 2021

Abstract
In this study, the role of twist on the tensile and frictional characteristics of aramid filament yarns (AFYs) were systematically studied. The results revealed that the twist is incredibly crucial in optimizing the final properties of AFYs. It was found that the extension at break and the initial modulus had a high rise with the increase of the twist angle. Furthermore, an optimum twist value provided the maximum breaking strength of AFYs. Meanwhile, breaking strength emerged the tendency of enhancement firstly and then descended continuously till to the fracture of AFYs. In addition, it was inferred that the larger the twist angle, the more sharply the aramid filaments were drafted. In conclusion, if reasonably controlled, AFYs will emerge better tensile capability in axial direction, which are significant in actual industry use, especially in the field that sustained destructive power and constant friction.
Coherent IC-sheaves on type 𝐴_{𝑛} affine Grassmannians and dual canonical basis of affine type 𝐴₁
Authors: Finkelberg Michael , Fujita Ryo 
Published: January 2021

The convolution ring

K

G

L
n

(

O

)
⋊

C

×

(

G
r

G

L
n

)

K^{GL_n(\mathcal {O})\rtimes \mathbb {C}^\times }(\mathrm {Gr}_{GL_n})

was identified with a quantum unipotent cell of the loop group

L
S

L
2

LSL_2

in Cautis and Williams [J. Amer. Math. Soc. 32 (2019), pp. 709–778]. We identify the basis formed by the classes of irreducible equivariant perverse coherent sheaves with the dual canonical basis of the quantum unipotent cell.
What’s ‘neo’ about liberalism?
Authors: Steger Manfred B. , Roy Ravi K. 
Published: January 2021

Abstract
This chapter discusses the core ideas and principles of neoliberalism. The best way to conceptualize neoliberalism is to think of it as four intertwined manifestations: an ideology; a mode of governance; a policy package; and a particular form of capitalism. Built upon the classical liberal ideal of the self-regulating market, neoliberalism comes in several strands and variations. Although neoliberalism comes in several forms, one can find an early systematic formulation of its economic principles in those of the Mont Pelerin Society. Founded in 1947 by Friedrich August von Hayek, the Society sought to revive classical liberalism in its attempt to challenge the dominance of Keynesian ideas.
Neoliberalism in the Asia-Pacific region
Authors: Steger Manfred B. , Roy Ravi K. 
Published: January 2021

Abstract
This chapter traces the evolution of neoliberalism in the Asia-Pacific Region, looking at the economic developments of Japan, China, and India. It should be noted that in Asian countries, the market-oriented ideas of liberalization, deregulation, and privatization had to contend with an opposing dynamic of state interventionism and economic centralism. Ultimately, neoliberalism in the Asia-Pacific Region evolved within highly differentiated political-economic systems that were rooted in a regional developmental state model. Different nations have found unique ways of entering an increasingly globalized marketplace. Once these Asian governments adapted neoliberalism to meet their specific needs, they scarcely hesitated to incorporate suitable portions of an economic nationalist programme.
Seven threats to thinking about ethics
Authors: Blackburn Simon 
Published: January 2021

Abstract
‘Seven threats to thinking about ethics’ discusses the seven threats to ethical thinking, looking at ideas that destabilize one when one thinks about standards of choice and conduct. In various ways, these ideas seem to suggest that ethical thought is somehow impossible. They are important because they themselves can seep into the moral environment. When they do, they can change what people expect from each other and themselves, usually for the worse. How big are the threats of the death of God, relativism, egoism, evolutionary theory, determinism and futility, unreasonable demands, and the false consciousness?
Some ethical ideas
Authors: Blackburn Simon 
Published: January 2021

Abstract
‘Some ethical ideas’ explores some ethical ideas on desire, happiness, freedom, birth, and death. The flexibility of the term ‘freedom’ undoubtedly plays a huge role in the rhetoric of political demands, particularly when the language of rights mingles with the language of freedom. The enemy here would be any elitism, or paternalism, supposing that some particular kinds of people—through superior reason or knowledge or wisdom—are best fitted to govern the rest, since they know people’s interests better than the people themselves do. The language of ‘natural rights’ is an important consideration within ethical ideas and this includes the concepts of decency, civility, and trust.
Rhynchophylline improves trophocyte mobility potential by upregulating ZEB1 level via the inhibition of miR-141-3p level
Authors: Yang Qian , Zheng Meiyun , Yan Jinyu , Wu Jun , Liu Xiang 
Published: January 2021

ABSTRACT
Preeclampsia (PE) is characterized by the impaired invasive ability of trophocytes, which can be modulated by microRNAs (miRs). In the current study, the effects of rhynchophylline (Rhy) on the viability and invasive ability of trophocytes were explored by focusing on miR-141-3p/ZEB1 axis. The level of miR-141-3p was modulated in human trophocytes and the changes in cell viability, apoptosis, invasive ability, and ZEB1 level were detected. Then the trophocytes with miR-141-3p overexpression were treated with Rhy and the effects on trophocyte phenotypes were assessed. The induced miR-141-3p level suppressed cell viability, induced apoptosis, and inhibited invasion and ZEB1 level in trophocytes. The treatment of Rhy restored the viability and invasive ability of trophocytes under the overexpression of miR-141-3p, indicating the protective effects of Rhy on trophocytes. The findings in the current study highlighted the protective effects of Rhy on trophocytes during PE progression, which was associated with the inhibition of miR-141-3p.
Perspectives of using Cloud computing in integrative analysis of multi-omics data
Authors: Augustyn Dariusz R , Wyciślik Łukasz , Mrozek Dariusz 
Published: January 2021

Abstract
Integrative analysis of multi-omics data is usually computationally demanding. It frequently requires building complex, multi-step analysis pipelines, applying dedicated techniques for data processing and combining several data sources. These efforts lead to a better understanding of life processes, current health state or the effects of therapeutic activities. However, many omics data analysis solutions focus only on a selected problem, disease, types of data or organisms. Moreover, they are implemented for general-purpose scientific computational platforms that most often do not easily scale the calculations natively. These features are not conducive to advances in understanding genotype–phenotypic relationships. Fortunately, with new technological paradigms, including Cloud computing, virtualization and containerization, these functionalities could be orchestrated for easy scaling and building independent analysis pipelines for omics data. Therefore, solutions can be re-used for purposes that they were not primarily designed.
This paper shows perspectives of using Cloud computing advances and containerization approach for such a purpose. We first review how the Cloud computing model is utilized in multi-omics data analysis and show weak points of the adopted solutions. Then, we introduce containerization concepts, which allow both scaling and linking of functional services designed for various purposes. Finally, on the Bioconductor software package example, we disclose a verified concept model of a universal solution that exhibits the potentials for performing integrative analysis of multiple omics data sources.
Curation of over 10 000 transcriptomic studies to enable data reuse
Authors: Lim Nathaniel , Tesar Stepan , Belmadani Manuel , Poirier-Morency Guillaume , Mancarci Burak Ogan , Sicherman Jordan , Jacobson Matthew , Leong Justin , Tan Patrick , Pavlidis Paul 
Published: January 2021

Abstract
Vast amounts of transcriptomic data reside in public repositories, but effective reuse remains challenging. Issues include unstructured dataset metadata, inconsistent data processing and quality control, and inconsistent probe–gene mappings across microarray technologies. Thus, extensive curation and data reprocessing are necessary prior to any reuse. The Gemma bioinformatics system was created to help address these issues. Gemma consists of a database of curated transcriptomic datasets, analytical software, a web interface and web services. Here we present an update on Gemma’s holdings, data processing and analysis pipelines, our curation guidelines, and software features. As of June 2020, Gemma contains 10 811 manually curated datasets (primarily human, mouse and rat), over 395 000 samples and hundreds of curated transcriptomic platforms (both microarray and RNA sequencing). Dataset topics were represented with 10 215 distinct terms from 12 ontologies, for a total of 54 316 topic annotations (mean topics/dataset = 5.2). While Gemma has broad coverage of conditions and tissues, it captures a large majority of available brain-related datasets, accounting for 34% of its holdings. Users can access the curated data and differential expression analyses through the Gemma website, RESTful service and an R package.
Database URL: https://gemma.msl.ubc.ca/home.html
Is It Possible to Obtain the Chemical Profile From Ethanol-Preserved Specimens? The Hydrocarbon and Fatty Acid Composition of the Social WaspPolybia paulista(Hymenoptera: Vespidae: Epiponini)
Authors: da Silva Cunha Dayana Alves , Telles Menezes Rodolpho Santos , Lima Cardoso Claudia Andrea , Antonialli Junior William Fernando 
Published: January 2021

AbstractCuticular hydrocarbons perform multiple functions in insects such as protecting against desiccation and pathogenic infection, and signaling interactions. Evaluation of cuticular hydrocarbon (CHC) profiles of insects is commonly performed by extraction using a nonpolar solvent such as hexane. Specimens intended for CHC analysis are ideally handled by avoiding contact with solvents such as ethanol. However, insects are frequently stored in ethanol after collection, especially if intended for molecular analysis. To determine if it is possible that chemical compounds in the cuticles of specimens can withstand previous exposure to ethanol, we evaluated the efficiency of CHC extraction from specimens preserved in 95% ethanol. We extracted cuticular compounds from specimens of the social wasp Polybia paulista (Ihering) with no contact with ethanol solvents and compared them with those from specimens stored in 95% ethanol. We analyzed chemical composition from wasps and the 95% ethanol in which they had been stored by a gas chromatograph coupled to a mass spectrometer. In total, 56 compounds were detected: 50 that were classified as hydrocarbons which were mostly branched alkanes, followed by linear alkanes and alkenes. Three compounds were identified as fatty acids, and three compounds were unidentifiable. The ethanol-preserved specimens showed similar chemical profiles to those of specimens that had no contact with ethanol. Thus, we suggest that it is possible to study the chemical profiles of ethanol-preserved specimens.