bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of repository of deep neural networks for the analysis of geospatial data
Authors: Yamashkina E O , Kovalenko S M , Platonova O V 
Published: February 2021

Abstract
The article proposes a solution for organizing a storage of artificial neural networks in a digital spatial data infrastructure system. Based on the analysis of world experience, a register of key storage cases was created, which made it possible to create an effective solution for analyzing large arrays of spatial data. The structure of the neural network sets the format of the input data and the type of the output signal. It is shown that the use of neural networks for solving design problems requires dividing the storage of the ontological model into machine learning, data and task modules. The introduction of deep learning models into the repository will allow not only to form an ANN system capable of solving urgent problems in the field of analysis of different types of big data, but also to solve the problem of choosing an effective model by building a system of recommendations that optimize the choice of algorithms.
Simplified solution to the problem plane-parallel motion partial control of an autonomous rigid body in incompressible stratified viscous fluid
Authors: Kuznetsova L V , Firsov A N 
Published: February 2021

Abstract
The report presents a mathematical model of the motion control of an autonomous solid body moving in incompressible stratified viscous fluid and analytical and numerical analysis of this model. It is assumed that the body does not have its own propulsion system, but is equipped with controlled rudders - wings of finite span. The body is moved by the influence of the buoyancy force and wings lift. Partial movement control is achieved by the angle of attack of the wing change (for ensuring access to the given point by this solid body). This body motion is considered to be plane-parallel motion.
Experience and prospects of using robotics in the nuclear power industry
Authors: Tochilin A V , Voronkov I E , Alabin A V 
Published: February 2021

Abstract
It is impossible to imagine the modern nuclear power industry without the use of robotics. Monitoring of equipment and structures conditions, elimination of accidents and catastrophes consequences are wide application areas of robots that allow to reduce the radiation load on personnel. In the near future, the global nuclear power industry will inevitably face the need to decommission nuclear power plants that were built in the 1970s-1980s, which currently form the core of nuclear generation. This determines the high relevance and importance of developing scientifically grounded methods and approaches to decontamination and dismantling of nuclear power plant radioactive structures with the preferential use of robotic technology. A review of domestic and international experience in the use of industrial and specialized robots in the field of nuclear energy allows us to assess the state and prospects of this direction, as well as to recognize the discrepancy between the existing technological level of robotic means and the promising tasks in the field of decommissioning of industrial nuclear reactors. In this case, it is considered appropriate and relevant to rapidly develop robotics as well as information simulation models that allow to provide various scenarios for dismantling of radioactive structures and equipment with the greatest involvement of modern robotic systems in this process.
Analysis of options for small solar power plants for the Republic of Khakassia of the Russian Federation
Authors: Toropov A S , Platonova E V , Chistyakov G N , Kolovsky A V 
Published: February 2021

Abstract
The analysis of electricity tariffs for consumers of the Republic of Khakassia of the Russian Federation has been performed. Tariffs for the population are quite low. The use of small solar power plants for private residential buildings is inexpedientl due to the long payback period. Tariffs for legal entities and organizations are much higher than for the population and have a steady upward trend. The main consumption of electricity by such consumers occurs during daylight hours. That is much in line with the energy generation by solar panels. It is concluded that calculations are necessary to determine the expedience of using small solar power plants for this group of consumers. The classification of the types of low-power solar power plants is given, their advantages and disadvantages are highlighted, and the area of application is shown. The results of the comparative analysis of three types of small solar power plants for a state facility of the Republic of Khakassia are presented. The expediency of using small network solar power plants without electric storage batteries with a limitation of the power supplied to the network was substantiated.
High voltage waveform influence on ozonizer productivity on dielectric barrier discharge basis
Authors: Andreev V V , Vasilyeva L A , Pichugin Yu P 
Published: February 2021

Abstract
Influence of the high voltage waveform on productivity of a plasma-chemical ozone generator on the basis of dielectric barrier discharge (DBD) is studied. Experimental studies were carried out using of two types of AC high voltage: at first, AC high voltage (the voltage effective value is equal to U
2=11 kV), representing continuous periodically repeating inharmonic structures with frequency f
2=400 Hz; secondly, pulsed high voltage with the amplitude equal to U
p=20 kV, pulse width 50 ns, the pulse edge 20 ns and the pulse duration 2.5 ms (thus, the pulse repetition rate, in average, is equal to 400 Hz). For the second case, the productivity by ozone of the DBD cell is significantly higher.
Ultrasonic assisted turning of AISI 52100 steel using nanoparticle-MQL method
Authors: Ağar Salih , Tosun Nihat 
Published: February 2021

Abstract
High cutting force and high cutting tool-chip interface temperature occur during machining of high strength materials like AISI 52100 by using conventional turning method and this makes to the difficult machining operation. Besides, in conventional turning (CT) of these materials, which has high abrasion resistance and hardness properties, an additional process such as grinding is required to achieve the desired surface quality. Ultrasonic assisted turning (UAT) method has been widely used in the machining industry in recent years, as it exhibits better surface quality, lower cutting forces, and cutting temperature than the CT method. This paper focused on experimentally and statistically determining the effects of different cutting parameters and cooling conditions (dry and minimum quantity lubrication-MQL) on surface roughness, workpiece surface texture, tangential direction cutting force, and cutting tool-workpiece interface temperature in the machining of AISI 52100 material by using UAT and CT methods. The experimental results revealed that significant improvements determined in the cutting forces and the surface roughness occurred in UAT compared to CT in all the cooling conditions. However, the increasing cutting speeds caused to observe higher interface temperature values in dry turning by the UAT method. Variance Analysis (ANOVA) was carried out to determine the significance grade of independent variables on dependent variables. According to ANOVA results, while the cutting speed is the most important factor on the surface roughness and the cutting zone temperature, and the cooling method is the most important factor on the cutting force. The effects of turning methods on corresponding surface topography, including surface defects, were evaluated. It is determined that in the surface topography analysis, feed marks are the main texture of the workpiece in the CT method while micro-level indentations and protrusions occurred on the workpiece surface in the UAT method.
Behavior of phase transition of ZnO in nanoscale of time a molecular dynamics computation
Authors: Chergui Y , Aouaroun T , Hadley M J , Chemam R , Ouatizerga A 
Published: February 2021

Abstract
The phase transition of Zinc Oxide Wurtzite structure is investigated at the Nanoscale of time and space using Equilibrium Parallel Molecular Dynamics simulation. We extend existing results to higher pressure and temperature. The calculations ran on the RAVEN supercomputer of Cardiff University with DL_POL_4 software. The interatomic interaction modeled by Bukingham-Coulpmb potential for short and long-range interactions. We study the evolution in time of the total energy in isothermal and isobaric ensemble, to find the equilibrium time of the system, under the ranges of pressure 0–200(GPa) and temperature 300–3000(K), This is a new method to investigate the phase transition. Our results are closed to available theoretical and experimental data.
Effect of ‘genetic’ rare earth on alloy dissolution behavior in micro-alloyed steel
Authors: Wei Guomin , Li Minghe , Fang Qi , Sun Wei , Jin Zili 
Published: February 2021

Abstract
The solid solubility of alloying elements and microstructures of insoluble second-phase particles of micro-alloyed steel containing genetic and additional rare earth were respectively investigated. Experimental results indicate that adding a rare earth can change the inclusion morphology and promote the formation of a core of composite inclusions with Al, Ca, Mg, S, and a small amount of Ti. The extremely small quantities of genetic rare earth in steel can promote the formation of a solid solution of Nb and Ti. Therefore, although the content of genetic rare earth in steel is negligible, the promotion effect on solid solubility is significant. The addition of a rare earth has no effect on the types of the insoluble second-phase particles; however, it has a distinct dissolution effect on the large particles in steel.
Overcoming roadblocks in computational roadmaps to the future for safe nanotechnology
Authors: Karakus Ceyda Oksel , Winkler David A 
Published: February 2021

Abstract
The rapid rise of nanotechnology has resulted in a parallel rise in the number of products containing nanomaterials. The unusual properties that nano forms of materials exhibit relative to the bulk has driven intense research interest and relatively rapid adoption by industry. Regulatory agencies are charged with protecting workers, the public, and the environment from any adverse effects of nanomaterials that may also arise because of these novel physical and chemical properties. They need data and models that allow them to flag nanomaterials that may be of concern, while balancing potential stifling of commercial innovation. Roadmaps for the future of safe nanotechnology were defined more than a decade ago, but many roadblocks identified in these studies remain. Here, we discuss the roadblocks that are still hindering the effective application of informatics and predictive computational nanotoxicology methods from providing more effective guidance to nanomaterials regulatory agencies and safe-by-design rationale for industry. We describe how developments in high throughput synthesis, characterization, and biological assessment of nanomaterials will overcome many of these roadblocks, allowing a clearly defined roadmap for computational design of effective but safe-by-design nanomaterials to be realized.
Reconfigurable chalcogenide phase change metamaterials: a material, device, and fabrication perspective
Authors: Mandal Avik , Cui Yihao , McRae Liam , Gholipour Behrad 
Published: February 2021

Abstract
Chalcogenide phase change semiconductors have played a crucial role in the evolution of photonic technologies. From their decades-long utilization at the core of optical disks to their emergence as a highly promising reconfigurable component for a variety of nanophotonic modulation, switching and sensing platforms, the field of optics has continuously recognized their potential and sought to engineer their properties through a variety of material, device and fabrication level schemes. Most recently, the integration of phase change semiconductors within various photonic metamaterials, metadevices and metasystems has ignited research interest worldwide. This has facilitated the development of a wealth of highly promising application-driven nanophotonic device platforms that address growing societal demands requiring higher data storage capacity, faster and more efficient telecommunication, as well as adaptive sensing and imaging with reduced size, weight and power requirements. Here, we present a comprehensive review on the evolution of reconfigurable phase change chalcogenide metamaterials that focuses not just on a device level perspective but also examines the underlying material and fabrication considerations that are critical to obtaining optimal performance in these groundbreaking devices.
Progress of graphene devices for electrochemical biosensing in electrically excitable cells
Authors: Williams Kelli R , Hashemi Nicole N , Riddley Mia , Clarke Gabriel , Igwe Nkechinyere , Elnagib Dena , Montazami Reza 
Published: February 2021

Abstract
Traumatic brain injury and other neurological disorders continue to affect many worldwide and demand further research. It has been shown that electrical signaling and ion channel flow and dynamics are disrupted over the course of a traumatic brain injury as well as over the course of other neurological disorders. However, typical devices used to measure ion flow and electrical signaling from the brain suffer from complexity, high expense, poor spacial and temporal resolution, and low signal to noise ratios. Graphene has emerged as an economical and simple alternative to sensing electrical and ionic signals in a variety of biological situations. This material has emerged as a power material due to its excellent strength, electrical conductivity, and biocompatibility. This review paper focuses on the advantages of the different graphene-based electronic devices and how these devices are being developed into biosensors capable of sensing neuronal ionic and electrical activity and activity from other electrically excitable cells.
Towards reflectivity profile inversion through artificial neural networks
Authors: Carmona Loaiza Juan Manuel , Raza Zamaan 
Published: February 2021

Abstract
The goal of specular neutron and x-ray reflectometry is to infer a material’s scattering length density (SLD) profile from its experimental reflectivity curves. This paper focuses on the investigation of an original approach to the ill-posed non-invertible problem which involves the use of artificial neural networks (ANNs). In particular, the numerical experiments described here deal with large data sets of simulated reflectivity curves and SLD profiles, and aim to assess the applicability of data science and machine learning technology to the analysis of data generated at large-scale neutron scattering facilities. It is demonstrated that, under certain circumstances, properly trained deep neural networks are capable of correctly recovering plausible SLD profiles when presented with previously unseen simulated reflectivity curves. When the necessary conditions are met, a proper implementation of the described approach would offer two main advantages over traditional fitting methods when dealing with real experiments, namely (1) sample physical models are described under a new paradigm: detailed layer-by-layer descriptions (SLDs, thicknesses, roughnesses) are replaced by parameter-free curves ρ(z), allowing a priori assumptions to be used in terms of the sample family to which a given sample belongs (e.g. ‘thin film,’ ‘lamellar structure’,etc.); (2) the time required to reach a solution is shrunk by orders of magnitude, enabling faster batch analysis for large datasets.
Clinical and Pathologic Spectrum ofDDX41-Mutated Hematolymphoid Neoplasms
Authors: Goyal Tanu , Tu Zheng Jin , Wang Zhen , Cook James R 
Published: February 2021

AbstractObjectivesThis study seeks to further characterize the clinicopathologic spectrum of DDX41-mutated hematolymphoid malignancies.MethodsWe identified DDX41 mutations from a cohort of known or suspected hematologic disorders and reviewed the corresponding clinical, genetic, phenotypic, and morphologic findings.ResultsDDX41 mutations were identified in 20 (1.4%) of 1,371 cases, including 8 cases of acute myeloid leukemia (AML), 5 cases of myelodysplastic syndrome (MDS), 2 cases of therapy-related MDS/AML, 1 case of primary myelofibrosis, 1 case of chronic myeloid leukemia, 1 case of clonal cytopenia of uncertain significance (CCUS), 1 case of T-cell large granular lymphocytic leukemia (T-LGL), and 1 case of multiple myeloma. DDX41-mutated neoplasms were morphologically heterogeneous with a median cellularity of 20% (range, 10%-100%). Megakaryocyte dysplasia occurred in 7 (35%) of 20 cases and trilineage dysplasia in 1 (5%). Frequently comutated genes include a second, somatic DDX41 mutation (8/19, 42%) followed by mutations in TET2 (20%), DNMT3A (20%), ASXL1 (20%), and CUX1 (20%). Karyotypes were noncomplex in 17 (89%) of 19.ConclusionsThis report extends the spectrum of DDX41-mutated disorders to include CCUS, T-LGL, and plasma cell disorders. The morphologic features are heterogeneous and nonspecific, highlighting the importance of DDX41 testing during routine workup of hematolymphoid neoplasms.
Facial Hair Transplantation for Transgender Patients: A Literature Review and Guidelines for Practice
Authors: Patel Viren , Nolan Ian T , Card Elizabeth , Morrison Shane D , Bared Anthony 
Published: February 2021

AbstractBackgroundFacial hair transplantation has become an increasingly popular modality to create a more masculine appearance for transmasculine patients.ObjectivesThis aim of this study was to review the current literature regarding facial hair transplantation and provide recommendations and best practices for transgender patients.MethodsA comprehensive literature search of the PubMed, MEDLINE, and Embase databases was conducted for studies published through April 2020 for publications discussing facial hair transplant in transmasculine patients, in addition to the nontransgender population. Data extracted include patient demographics, techniques, outcomes, complications, and patient satisfaction.ResultsWe identified 2 articles discussing facial hair transplantation in transmasculine patients. Due to the paucity of publications describing facial hair transplantation in transmasculine patients, data regarding facial hair transplant from the cisgender population were utilized to augment our review and recommendations.ConclusionsFacial hair transplant is a safe and effective means of promoting a masculine appearance for transgender patients. Nevertheless, facial hair transplantation should be deferred until at least 1 year after the initiation of testosterone therapy to allow surgeons to more accurately identify regions that would benefit the most from transplantation. Additionally, providers should engage patients in discussions about any plans to undergo facial masculinization surgery because this can alter the position of transplanted hairs. Currently, follicular unit extraction from the occipital scalp is the preferred technique, with use of the temporal scalp if additional grafts are needed. Patients should be advised that a secondary grafting procedure may be needed a year after initial transplant to achieve desired density.Level of Evidence: 4
Social construction of migrant identities: everyday life of Bangladeshi migrants in West Bengal
Authors: Chakrabarty Anindita , Jha Manish K 
Published: February 2021

Abstract
The construction of migrant population across India–Bangladesh borders is premised on cultural affiliation, religious sentiments and the contingent political economy. With a history of partition in different phases, the subjective conceptions of identity of migrants are layered and complex. The article unravels how identities of migrants are shaped in everyday life through the frame of legality–illegality, religious–political and economic–social aspects. Drawing on previous research and empirical engagement, the article engages with the questions on citizenship, residency, identity, belonging, exclusion and inclusion. The field work in the borderland district of North 24 Parganas provides rich description about the life and circumstances of migrants at the threshold of security and insecurity, belonging and unbelonging around layers of caste and communal tangle. The article presents a grounded understanding on the politics of documenting and phenomenon of maintaining undocumentedness. To explain the social construction of identity, the article explores the role of Hindu nationalist ideas that influences the negotiation of migrant populations around religious lines; either accepted, ignored, patronized or kept insecure, susceptible to fear and exclusion.
Analysis of Main Components in Jujube and Mulberry Extracts by High-Sensitive HPLC-ESI-Q-TOF-MS/MS
Authors: Li Ran , Wei Min , Guo Guoning , Li Yi , Pan Xi , Song Xuyan , Rong Lin , Chen Yi , Chen Beibei 
Published: February 2021

Abstract
In order to comprehensively reflect the cigarette quality, a method combining direct injection of diluted sample with high sensitive high-performance liquid chromatography (HPLC)- electrospray (ESI)- quadrupole (Q)- time of flight (TOF)- tandem mass spectrometry (MS/MS) was developed for the identification of major components of cigarette essences (jujube and mulberry extracts). Based on the observed relative molecular mass, MS/MS fragmentation behavior, MS/MS database and related literatures, the components of the jujube extract and mulberry extract were identified. The result shows that the composition of jujube extract and mulberry extract has some similarity. They all mainly contain amino acids, free amino compounds and Maillard reaction products, which are the main constituents of a cigarette essence.
Sustained Transmission ofNeisseria gonorrhoeaewith High-Level Resistance to Azithromycin, in Indianapolis, Indiana, 2017–2018
Authors: Holderman Justin L , Thomas Jesse C , Schlanger Karen , Black Jamie M , Town Katy , St. Cyr Sancta B , Pham Cau D , Kirkcaldy Robert D 
Published: February 2021

AbstractBackgroundSince 2014, Neisseria gonorrhoeae azithromycin (AZM) susceptibility has declined in the United States, but high-level AZM resistance (HL-AZMR) has been infrequent and sporadic. We describe a cluster of 14 N. gonorrhoeae isolates with HL-AZMR identified in Indianapolis over 13 months.MethodsN. gonorrhoeae culture specimens (genital and extragenital) were collected from attendees of the Bell Flower Clinic. Isolates underwent antimicrobial susceptibility testing (AST) using Etest. AZM minimum inhibitory concentrations ≥256 µg/mL were classified as HL-AZMR. Local disease intervention specialists interviewed patients whose isolates demonstrated HL-AZMR and conducted partner services. Relatedness of isolates was investigated by genomic analyses.ResultsDuring 2017–2018, AST was performed in 1016 N. gonorrhoeae isolates collected at the Bell Flower Clinic. Fourteen isolates (1.4%) from 12 men collected over 13 months demonstrated HL-AZMR; all were cephalosporin susceptible. Of the 12 men, 9 were white and reported male sex partners. Nine of the men were able to be retested; all were cured with 250-mg ceftriaxone plus 1-g AZM. Two men named each other as partners; no other partners in common were reported. Genomic analysis demonstrated close relatedness of the HL-AZMR isolates and a novel combination of a mosaic-mtrR promoter along with 23S ribosomal RNA mutations that appear to have emerged from circulating strains.ConclusionsThe close genetic relatedness with limited epidemiologic linkages between patients highlights the challenges of gonorrhea partner investigations and suggests undetected local transmission. Local AST, rapid public health action, and epidemiologic investigations combined with genomic analysis provides a multipronged approach to understanding an outbreak of sexually transmitted disease.