bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human intermediate progenitor diversity during cortical development
Authors: Pebworth Mark-Phillip , Ross Jayden , Andrews Madeline , Bhaduri Aparna , Kriegstein Arnold R. 
Published: June 2021

SignificanceRadial glia (RG) are primary neural stem cells of the cortex, and our current models of human corticogenesis are derived from investigations into the spatiotemporal, transcriptomic, and morphological diversity of human RG. However, it is the progeny of RG, neural intermediate progenitor cells (nIPCs), that directly generate most neurons. As such, nIPCs play an important role in corticogenesis, and yet little is known about human nIPCs. We identified three gaps in our current understanding: when and where human nIPCs appear, what transcriptional subtypes exist, and what their morphological features are. Our results present a more complete view of human nIPCs and serve as a basis for interpreting organoids and other in vitro models of human brain development, evolution, and disease.
Addiction to Golgi-resident PI4P synthesis in chromosome 1q21.3–amplified lung adenocarcinoma cells
Authors: Shi Lei , Tan Xiaochao , Liu Xin , Yu Jiang , Bota-Rabassedas Neus , Niu Yichi , Luo Jiayi , Xi Yuanxin , Zong Chenghang , Creighton Chad J. , Glenn Jeffrey S. , Wang Jing , Kurie Jonathan M. 
Published: June 2021

Significance
Our findings identify a type of oncogene addiction process driven by a lipid that controls prosurvival effector protein secretion. The crosstalk between functionally redundant phosphatidylinositol (PI) 4-kinases maintains addiction and can be targeted with small molecule kinase inhibitors that might be applicable to a genetically defined subset of cancers for which there are no effective targeted therapies.
Mapping pollution exposure and chemistry during an extreme air quality event (the 2018 Kīlauea eruption) using a low-cost sensor network
Authors: Crawford Ben , Hagan David H. , Grossman Ilene , Cole Elizabeth , Holland Lacey , Heald Colette L. , Kroll Jesse H. 
Published: June 2021

Significance
Poor air quality is a global public health issue, contributing to millions of premature deaths per year worldwide. Low-cost air quality sensors are a promising tool to improve monitoring capabilities. In this study, we built and deployed a low-cost sensor network for emergency response during an extreme air quality event, the 2018 Kīlauea Lower East Rift Zone eruption. This network was used to estimate fine-scale population exposures to multiple pollutants, to measure the chemical transformation of volcanic emissions, and to provide real-time observations as part of emergency management efforts.
Phage-encoded ten-eleven translocation dioxygenase (TET) is active in C5-cytosine hypermodification in DNA
Authors: Burke Evan J. , Rodda Samuel S. , Lund Sean R. , Sun Zhiyi , Zeroka Malcolm R. , O’Toole Katherine H. , Parker Mackenzie J. , Doshi Dharit S. , Guan Chudi , Lee Yan-Jiun , Dai Nan , Hough David M. , Shnider Daria A. , Corrêa Ivan R. , Weigele Peter R. , Saleh Lana 
Published: June 2021

Significance
Chemical tailoring of canonical bases expands the functionality of DNA in the same manner that posttranscriptional and -translational modifications enhance functional diversity in RNA and proteins. We describe the activities of ten-eleven translocation dioxygenase (TET)-like iron(II)- and 2-oxo-glutarate–dependent 5mC dioxygenases that are encoded by several bacteriophages to enable hypermodification of C5-methyl cytosine bases in their DNA. Phage TETs act on methylation marks deposited within GpC sequences by functionally-associated cytosine 5-methyltransferases. The hydroxymethyl groups installed are further elaborated by tailoring enzymes, thereby decorating the phage DNA with diverse, complex modifications. These modifications are predicted to have protective roles against host defenses during viral infection.
United States medical preparedness for nuclear and radiological emergencies
Authors: DiCarlo Andrea L , Homer Mary J , Coleman C Norman 
Published: June 2021

Abstract
With the end of the Cold War in 1991, U.S. Government (USG) investments in radiation science and medical preparedness were phased out; however, the events of 11 September, which involved a terroristic attack on American soil, led to the re-establishment of funding for both radiation preparedness and development of approaches to address injuries. Similar activities have also been instituted worldwide, as the global threat of a radiological or nuclear incident continues to be a concern. Much of the USG’s efforts to plan for the unthinkable have centred on establishing clear lines of communication between agencies with responsibility for triage and medical response, and external stakeholders. There have also been strong connections made between those parts of the government that establish policies, fund research, oversee regulatory approval, and purchase and stockpile necessary medical supplies. Progress made in advancing preparedness has involved a number of subject matter meetings and tabletop exercises, publication of guidance documents, assessment of available resources, clear establishment of anticipated concepts of operation for multiple radiation and nuclear scenarios, and identification/mobilization of resources. From a scientific perspective, there were clear research gaps that needed to be addressed, which included the need to identify accurate biomarkers and design biodosimetry devices to triage large numbers of civilians, develop decorporation agents that are more amenable for mass casualty use, and advance candidate products to address injuries caused by radiation exposure and thereby improve survival. Central to all these activities was the development of several different animal constructs, since efficacy testing of these approaches requires extensive work in research models that accurately simulate what would be expected in humans. Recent experiences with COVID-19 have provided an opportunity to revisit aspects of radiation preparedness, and leverage those lessons learned to enhance readiness for a possible future radiation public health emergency.
Remediation of the uranium industry in the Czech Republic: regulation aspects and main technologies
Authors: Jurda Miroslav , Němec Miloslav 
Published: June 2021

Abstract
There is a long history of uranium mining and milling in what is now the Czech Republic, with the main exploitation beginning in the second half of the 19th century. The greatest expansion was during the Cold War, which was then reduced after political changes in eastern Europe in the 1990s. Thereafter, almost all uranium work was stopped, the mines and mills were closed, and plans for decommissioning and remediation of sites and facilities were initiated. The paper describes the application of the regulatory framework for the decommissioning and remediation of the uranium waste sites and facilities in the Czech Republic, illustrated by examples of deep and surface mining, in-situ leaching sites, and ore processing facilities. It builds on information provided as a case study for the Nuclear Energy Agency’s Expert Group on Legacy Management. Some practical experience and lessons learned are presented. The sharing of the lessons and experience is noted as an important mechanism for avoiding the creation of future legacies.
Distributed Ensemble based Deep Learning architecture for Intrusion Detection against Cyber attacks
Authors: Kavitha M , Elamukhil K , Ajeeth R , Ashwin R , Balasubramaniam V 
Published: June 2021

Abstract
The increasing scale and importance of web contact around the Internet has increased the need for improved cyber security defence against cyber attacks. On modelling the machine learning based intrusion detection system, features of the attacks helps to discover, determine and identify unauthorized behaviour. Behaviour modelling has been used as training model to detect the evolving attacks to the servers or learning model has been constructed to build a training model to identify the intrusion in the network on basis of signature of the attacks. However machine learning model fails in handling attacks propagating on the applications with large scale or large dimensional data which further leads to high false alarm rate. In order to tackle those issues, a new distributed ensemble based deep learning architecture has been employed using Convolution Neural Network, Recurrent Neural Network and Multilayer Perceptron towards intrusion detection on cyber attacks on the web servers. Convolution Neural Network, Recurrent Neural Network and Multilayer Perceptron has been modelled as training model to detect the intrusion, trained model will generate best model which acts as classifier or prediction model for cyber attacks. The particular model will be employed further to detect the intrusion propagating in the web server. The proposed ensemble based deep learning architecture is compared to state-of-the-art approaches on performance measures such as precision, recall, and f measure on true positive, false positive, true negative, and false negative computations using the KDD CUP 99 dataset.
Numerical approach for bifurcation and orbital stability analysis of periodic motions of a 2-DOF autonomous Hamiltonian system
Authors: Sukhov E 
Published: June 2021

Abstract
In Spaceflight Dynamics it is often necessary to obtain periodic motions of conservative mechanical systems and analyze their stability and bifurcation. These conservative systems can be described using Hamiltonian equations. We consider bifurcation and orbital stability problem for periodic motions of a 2-DOF autonomous Hamiltonian system. Since it is not possible to obtain analytical solutions to the aforementioned problem for all admissible values of its parameters a two-step numerical approach is proposed. On the first step the so-called base solutions are obtained analytically for particular values of problem’s parameters. The base solutions are then continued to the borders of their existence domains using a numerical algorithm. In course of computation bifurcation points are identified and orbital stability is studied. On the second step new base solutions are identified in the neighborhood of bifurcation points and the continuation process is repeated. Finally, orbital stability and bifurcation diagrams of the resulting families of periodic motions are constructed. Poincare sections are also computed in the neighborhoods of bifurcation points to verify the results. To illustrate this approach, we computed the bifurcation and orbital stability diagrams for families of short-periodic motions originating from Regular precessions of a dynamically-symmetric satellite.
Investigation of the dynamic behavior of CFRP with an embedded smart layer based on fiber-optic sensors
Authors: Tikhonova A , Anoshkin A , Baranov M , Nikiforov A , Sajenkov N , Pisarev P 
Published: June 2021

Abstract
Currently, special interest arises in the use of various systems for monitoring the state of structures during operation. Structures during operation, as a rule, experience dynamic loads. As a result, the monitoring system must correctly and accurately record this response. Most modern monitoring systems use fiber-optic sensors. Embedding fiber optic sensors directly into the structure of composite structures is a difficult task due to the fragility of the fiber. The team of authors has developed a prototype of the Smart-layer, which allows for safe implementation into structures made of carbon fibre reinforced polymer. However, the issue of decrypting the data obtained from the Smart layer is an urgent and laborious task. The paper presents the results of studies on the registration and interpretation of the dynamic response obtained from the Smart-layer embedded in carbon fibre reinforced polymer specimens under dynamic loading of the specimens. The results of field experiments on dynamic loading of samples were compared with model values. In the course of the study, good agreement was found between the model and experimental results.
Technique of considering the material anisotropy in topology optimization of short fibers composite structures
Authors: Kurkin E I , Kishov E A , Lukyanov O E , Espinosa Barcenas O U 
Published: June 2021

Abstract
The use of composite materials in the aerospace industry has been increasing in the past 20 years. The application of short fiber reinforced composite as materials for aerospace components can solve the delamination problem by substituting the laminates, reduce the weight and the cost of the component. The design of short fiber reinforced composite structures requires obtaining the optimal structure geometry which is a function of the injection molding process. The novelty of this work is the development of a topology optimization algorithm that considers the material anisotropy by simulating the injection molding process at intermediate steps of topology optimization on a reduced mesh of the design area. It is shown that the consideration of the material anisotropy within topology optimization leads to a susceptible change in the topology of the structure and made it possible to increase the stiffness of the aerospace bracket molded from short fiber reinforced polymers.
Marketing positioning when choosing strategic alternatives for the aircraft manufacturer product offer development
Authors: Kalugina G A 
Published: June 2021

Abstract
Marketing positioning of the company’s products is an integral part of strategic planning. Many theoretical and scientific works are devoted to positioning issues, but the specific aspects of marketing positioning of knowledge-intensive and high-tech products of aviation-industrial enterprises are not reflected anywhere. The purpose of this study is to reveal specific issues of marketing positioning of civil aircraft. In the study, the methods of a systematic approach, comparative analysis, segmentation and strategic marketing analysis were used, aimed to develop the theory of marketing positioning in terms of industry marketing. Within the framework of the study, the following results were obtained: a critical analysis of the positioning methods supported by examples from the world practice of the of aircraft manufacturers market activity was given, the most important positioning criteria reflecting the specifics of aircraft were identified and classified. According to the results of the study, it is concluded that it is necessary to adapt the methodological approaches of marketing positioning to manage the product offer development in the field of civil aircraft manufacturing.
Parametric investigations of strength of a composite panel after impact damage
Authors: Levchenkov M 
Published: June 2021

Abstract
Results of parametrical investigations of residual strength and buckling of damaged composite panels of civil aircrafts were considered. The investigations were performed on the base of the semi-empirical method developed by the author. The algorithm allows users to carry out the analysis of parameters of stress-strain state and to assess a general buckling behavior of composite panels in the automatic mode. The calculations were performed by using the special parametrical finite element models of composite panels that are typical for current civil aircrafts. The special models of panels consisted of composite laminated skin and different types of stiffeners have zones with reduced stiffness characteristics. The relationship between level of reducing mechanical characteristics of “damaged” zones and residual strength and buckling margins of the panels was determined.
Analysis of stability and bearing capacity of reinforced panels made of composite materials under shear
Authors: Mitrofanov O V , Osman M 
Published: June 2021

Abstract
When performing stress verification analysis of wing spar supported composite walls it is essential to estimate local stability of smooth wall and general stability of orthotropic panel under shear forces. Almost square fragment of spar wall supported with ribs (between two ribs) is examined in this paper. In order to estimate general stability and load-bearing capacity of orthotropic panel geometrically nonlinear problem is examined. When examining linear problem compact expression for critical shear flow definition is explicitly written in order to estimate general stability with ultimate loading. When examining nonlinear problem a system of two equations in deflection amplitude is obtained. Besides nonlinear problem of smooth wall (skin) local stability and postbuckling state estimation with possible geometrically nonlinear behavior is examined. Analytical solution of orthotropic rectangular panel with shear geometrically nonlinear problem is obtained. Based on method of design by postbuckling state with critical shear stress provided with buckling a method of skin thickness definition is suggested. In order to apply obtained solutions to design activities method of orthotropic panels design by stability and postbuckling state with corresponding load level is shown.
Numerical simulation of the effect of aircraft engines impact on the nuclear power plant containment
Authors: Ostrik A , Kim V 
Published: June 2021

Abstract
A new version of the governing equations for concrete is proposed. A numerical algorithm for solving the governing equations proposed has been developed. The developed algorithm is implemented as part of numerical 3D-code for the finite-size particle in cell method. Using the code the simulation of an airliner engine impact on the concrete containment was performed. It was obtained that engines with the speed of 100 m/s significantly damage the containment structure, but without full penetration (the engines stop right inside the protective shield). Nonetheless the total collapse of the central part of spherical dome onto the inner metal shell of the containment is probable when the engine impacts in downward direction.
Development of a methodology for eliminating failures of an FDM 3D printer using a “failure tree” and FMEA analysis
Authors: Zagidullin R , Antipov D , Dmitriev A , Zezin N 
Published: June 2021

Abstract
The article presents a functional structural analysis of the design and software of an FDM 3D printer. On the basis of functional and structural analysis, a “failure tree” of the design of a 3D printer was built. An FMEA analysis was carried out to identify the reasons for the design failures of the 3D printer and develop recommendations for their elimination. The result of the FMEA analysis was the development of a method for eliminating design failures in FDM 3D printers.
Ways to ensure lightning resistance of aviation carbon fiber polymer composite structures containing adhesive compounds
Authors: Salamatin V , Nasonov F 
Published: June 2021

Abstract
This work advances solutions to the problem of insufficient electrical conductivity of adhesive material, the adhesive layer, and, ultimately, the entire adhesive connection. Sufficient electrical conductivity is necessary to ensure the survivability of composite structures under lightning strike conditions. Along the way, solutions to the problem of unhindered flow of static electricity charges which can occur when aircraft not in flight and has catastrophic consequences when interaction occurs in the presence of aviation fuel is proffered.
Design of Wine Grape Mobile Terminal Scheduling Platform Architecture Based on IOT
Authors: Hou Tianlong , Zhang Tao , Huang Haoran 
Published: June 2021

Abstract
At present, China is in the initial stage of the modernization of agriculture 4.0. How to use science and technology to improve the combination of agricultural machinery and agronomy, speeding up the construction of agricultural information technology is the core issue that agricultural production enterprises focus on at the present stage. Therefore, on the basis of analyzing the current situation of agricultural machinery operation in wine grape producing areas, this paper sorted out and studied the literature from three aspects: intelligent scheduling algorithm and intelligent scheduling platform of agricultural machinery equipment and the application of Internet of Things technology in scheduling platform, putting forward a kind of wine grape farm machinery equipment based on IOT moving with intelligent dispatching platform architecture design.
Misconceptions or mental models
Authors: Sands David 
Published: June 2021

Abstract
This paper presents a detailed study of inconsistent thinking by entry-level students on a troublesome question on the Force Concept Inventory. Two cohorts of students separated by three years were asked a series of questions after completing the Force Concept Inventory. The questions were aimed at eliciting their background knowledge of Newton’s laws of motion along with their approach to question 26. For example, were they guessing, eliminating some impossibilities, reasoning the answer, etc. There was no common or even predominant approach and considerable evidence of inconsistent thinking. The results are discussed in the light of recent literature on the nature of thinking and in particular the debate over logical reasoning versus reasoning by mental models. It is argued that the mental-models perspective explains many aspects of the data and moreover is more conducive to teaching approaches than the misconceptions perspective.
Exploring secondary school students’ understanding of basic phenomena relating to wave optics
Authors: Cvenić Karolina Matejak , Ivanjek Lana , Planinić Maja , SušAc Ana , Jeličić Katarina , Hopf Martin , Srnka Christian 
Published: June 2021

Abstract
Interference, diffraction, and polarisation of light are the basic phenomena of wave optics. According to the findings of previous studies on wave optics, these phenomena are the source of many students’ conceptual difficulties. The goal of the present study was to qualitatively investigate and compare Croatian and Austrian secondary school students’ understanding of the main concepts and phenomena of wave optics as a first step that will serve as a preparation for a large-scale study on secondary school students understanding of wave optics. Here we present the preliminary results of six semi-structured demonstration interviews conducted in Croatia and Austria with secondary school students (age 18-19), after regular school instruction on wave optics.
Phase and group velocity: a research-based educational activity driven by students on the topic on waves
Authors: Buongiorno Daniele , Michelini Marisa , Faletič Sergej 
Published: June 2021

Abstract
To create an opportunity for students to re-elaborate their knowledge and offering them a working experience, 145 16-17 years old students from 6 classes from a Scientific Lyceum were involved in a research activity with responsibility in specific tasks involving conceptual learning of pulses and mechanical waves. Experiments by means of classical apparatus and mobile APPs were planned and performed by students themselves aiming at individuating the best way to prepare educational materials for peers. In this framework three different educational proposals were proposed to three different groups of students allowing them to point out weaknesses and strengths of the various approaches. The educational path aimed at clarifying the difference between phase and group velocity.