bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative study on numerical performances of log-conformation representation and standard conformation representation in the simulation of viscoelastic fluid turbulent drag-reducing channel flow
Authors: Zhang Wen-Hua , Li Jingfa , Wang Qiankun , Ma Yu , Zhang Hong-Na , Yu Bo , Li Fengchen
Published: February 2021

In this paper, a new derivation process of the log-conformation governing equation for viscoelastic fluid flows is presented by using the Taylor series definition of the matrix logarithm. Based on the log-conformation representation (LCR) and standard conformation representation (CR) methods, the turbulent drag-reducing channel flow of viscoelastic fluid described by the Oldroyd-B constitutive model is simulated by the finite difference method. The comparison illustrates that the turbulent drag reduction (DR) effect under the condition of a low Weissenberg number (Wi = 1) or moderate Weissenberg number (Wi = 5) can be successfully reproduced by the CR method but is very difficult to be obtained by the LCR method at the same grid resolution if the commonly used interpolation approaches in the computing domain (i.e., log domain) are employed. Further research reveals that the interpolation method of log-conformation tensor involved is one of the dominant reasons responsible for the disability to obtain a turbulent DR effect by using the LCR method. If the interpolation is performed in a physical domain, the turbulent DR effect can be reproduced by using the LCR method. If the interpolation involved in the CR method is carried out in a log domain, the turbulent DR phenomenon can still be simulated but with a weakened DR effect. In sum, this study demonstrates that the commonly used interpolation approaches in the log domain should be responsible for the poor performance of the LCR method.
On the hybrid Davies like generator for quantum dissipation
Authors: Chruściński Dariusz
Published: February 2021

We provide a class of quantum evolution beyond Markovian semigroup. This class is governed by a hybrid Davies like generator such that dissipation is controlled by a suitable memory kernel and decoherence by standard Gorini-Kossakowski-Lindblad-Sudarshan generator. These two processes commute and both of them commute with the unitary evolution controlled by the systems Hamiltonian. The corresponding memory kernel gives rise to semi-Markov evolution of the diagonal elements of the density matrix. However, the corresponding evolution needs not be completely positive. The role of decoherence generator is to restore complete positivity. Hence, to pose the dynamical problem, one needs two processes generated by classical semi-Markov memory kernel and purely quantum decoherence generator. This scheme is illustrated for a qubit evolution.
Three-electron dynamics of the interparticle Coulombic decay with two-dimensional continuum confinement
Authors: Langkabel Fabian , Bande Annika
Published: February 2021

In a pair of self-assembled or gated laterally arranged quantum dots, an electronically excited state can undergo interparticle Coulombic decay. Then, an electron from a neighbor quantum dot is emitted into the electronic continuum along the two available dimensions. This study proves that the process is not only operative among two but also among three quantum dots, where a second electron-emitting dot causes a rate increase by a factor of two according to the predictions from the analytical Wigner–Weisskopf rate equation. The predictions hold over the complete range of conformation angles among the quantum dots and over a large range of distances. Electron dynamics was calculated by multiconfiguration time-dependent Hartree and is, irrespective of the large number of discrete variable representation grid points, feasible after having developed an OpenACC graphic card compilation of the program.
Δ
-machine learning for potential energy surfaces: A PIP approach to bring a DFT-based PES to CCSD(T) level of theory
Authors: Nandi Apurba , Qu Chen , Houston Paul L. , Conte Riccardo , Bowman Joel M.
Published: February 2021

“Δ-machine learning” refers to a machine learning approach to bring a property such as a potential energy surface (PES) based on low-level (LL) density functional theory (DFT) energies and gradients close to a coupled cluster (CC) level of accuracy. Here, we present such an approach that uses the permutationally invariant polynomial (PIP) method to fit high-dimensional PESs. The approach is represented by a simple equation, in obvious notation VLL→CC = VLL + ΔVCC–LL, and demonstrated for CH4, H3O+, and trans and cis-N-methyl acetamide (NMA), CH3CONHCH3. For these molecules, the LL PES, VLL, is a PIP fit to DFT/B3LYP/6-31+G(d) energies and gradients and ΔVCC–LL is a precise PIP fit obtained using a low-order PIP basis set and based on a relatively small number of CCSD(T) energies. For CH4, these are new calculations adopting an aug-cc-pVDZ basis, for H3O+, previous CCSD(T)-F12/aug-cc-pVQZ energies are used, while for NMA, new CCSD(T)-F12/aug-cc-pVDZ calculations are performed. With as few as 200 CCSD(T) energies, the new PESs are in excellent agreement with benchmark CCSD(T) results for the small molecules, and for 12-atom NMA, training is done with 4696 CCSD(T) energies.
Analytical model of the deformation-induced inertial dynamics of a magnetic vortex
Authors: Yoo Myoung-Woo , Mineo Francesca , Kim Joo-Von
Published: February 2021

We present an analytical model to account for the deformation-induced inertial dynamics of a magnetic vortex. The model is based on a deformation of the vortex core profile based on the Döring kinetic field, whereby the deformation amplitudes are promoted to dynamical variables in a collective-coordinate approach that provides a natural extension to the Thiele model. This extended model describes complex transients due to inertial effects and the variation of the effective mass with velocity. The model also provides a quantitative description of the inertial dynamics leading up to vortex core reversal, which is analogous to the Walker transition in domain wall dynamics. Our work paves the way for a standard prescription for describing the inertial effects of topological magnetic solitons.
Compositionally graded Ga1−xInxP buffers grown by static and dynamic hydride vapor phase epitaxy at rates up to 1 μm/min
Authors: Schulte Kevin L. , Diercks David R. , Guthrey Harvey L. , Mangum John S. , Packard Corinne E. , Metaferia Wondwosen , Simon John , Ptak Aaron J.
Published: February 2021

We demonstrate Ga1−xInxP compositionally graded buffers (CGBs) grown on GaAs with lattice constants between GaAs and InP by hydride vapor phase epitaxy (HVPE). Growth rates were up to ∼1 μm/min, and the threading dislocation density (TDD) was as low as 1.0 × 106 cm−2. We studied the effect of the substrate offcut direction, growth rate, and strain grading rate on the CGB defect structure. We compared the effect of a “dynamic” grading style, which creates compositional interfaces via mechanical transfer of a substrate between two growth chambers, vs “static” grading where the CGB grows in a single chamber. Dynamic grading yielded smoother grades with higher relaxation, but TDD was not significantly different between the two styles. The substrate offcut direction was the most important factor for obtaining CGBs with low defect density. (001) substrates offcut toward (111)B yielded smoother CGBs with lower TDD compared to CGBs grown on substrates offcut toward (111)A. Transmission electron microscopy of static and dynamic CGBs grown on A- and B-offcuts only found evidence of phase separation in a static A-offcut CGB, indicating that the B-offcut limits phase separation, which, in turn, keeps TDD low. Reductions in growth rate led to the appearance of CuPt-type atomic ordering, which affected the distribution of dislocations on the active glide planes but did not alter TDD significantly. Higher growth rates led to smoother CGBs and did not appreciably increase TDD as otherwise predicted by steady-state models of plastic relaxation. These results show HVPE's promise for lattice-mismatched applications and low-cost InP virtual substrates on GaAs.
Increasing the packing density of assays in paper-based microfluidic devices
Authors: Dabbagh Sajjad Rahmani , Becher Elaina , Ghaderinezhad Fariba , Havlucu Hayati , Ozcan Oguzhan , Ozkan Mehmed , Yetisen Ali Kemal , Tasoglu Savas
Published: February 2021

Paper-based devices have a wide range of applications in point-of-care diagnostics, environmental analysis, and food monitoring. Paper-based devices can be deployed to resource-limited countries and remote settings in developed countries. Paper-based point-of-care devices can provide access to diagnostic assays without significant user training to perform the tests accurately and timely. The market penetration of paper-based assays requires decreased device fabrication costs, including larger packing density of assays (i.e., closely packed features) and minimization of assay reagents. In this review, we discuss fabrication methods that allow for increasing packing density and generating closely packed features in paper-based devices. To ensure that the paper-based device is low-cost, advanced fabrication methods have been developed for the mass production of closely packed assays. These emerging methods will enable minimizing the volume of required samples (e.g., liquid biopsies) and reagents in paper-based microfluidic devices.
Mediator subunit MED1 is required for E2A-PBX1–mediated oncogenic transcription and leukemic cell growth
Authors: Lee Yu-Ling , Ito Keiichi , Pi Wen-Chieh , Lin I-Hsuan , Chu Chi-Shuen , Malik Sohail , Cheng I-Hsin , Chen Wei-Yi , Roeder Robert G.
Published: February 2021

Significance

Current challenges in B cell acute lymphoblastic leukemia (B-ALL) include a comprehensive understanding of mechanistic effects of associated oncogenic factors, the development of efficacious therapeutic regimens, and the identification of B-ALL subgroups with characteristic molecular features that can be targeted in cancer treatment. Here we show that MED1 is required for a identified interaction between the Mediator coactivator complex and oncogenic E2A-PBX1, for the proliferation, specifically, of E2A-PBX1–driven leukemic cells and for the activation of E2A-PBX1 target genes. RUNX1 directs the recruitment of E2A-PBX1 to target genes, including cell cycle regulatory
E2F5
and survival signaling pre-B cell receptor genes. These results provide insights into mechanisms underlying E2A-PBX1–mediated leukemogenesis and MED1–E2A-PBX1 interactions as potential therapeutic targets.
A constitutively monomeric UVR8 photoreceptor confers enhanced UV-B photomorphogenesis
Authors: Podolec Roman , Lau Kelvin , Wagnon Timothée B. , Hothorn Michael , Ulm Roman
Published: February 2021

Significance

Coping with UV-B is crucial for plant survival in sunlight. The UV-B photoreceptor UVR8 regulates gene expression associated with photomorphogenesis, acclimation, and UV-B stress tolerance. UV-B photon reception by UVR8 homodimers results in monomerization, followed by interaction with the key signaling protein COP1. We have discovered a UV-B hypersensitive UVR8 photoreceptor that confers strongly enhanced UV-B tolerance and generated a UVR8 variant based on the underlying mutation that shows extremely enhanced constitutive signaling activity. Our findings provide key mechanistic insight into how plants respond and acclimate to UV-B radiation.
Dual-gate MoS2 phototransistor with atomic-layer-deposited HfO2 as top-gate dielectric for ultrahigh photoresponsivity
Authors: Li Xiao-Xi , Chen Xin-Yu , Chen Jin-Xin , Zeng Guang , Li Yu-Chun , Huang Wei , Ji Zhi-Gang , Zhang David Wei , Lu Hong-Liang
Published: February 2021

An asymmetric dual-gate (DG) MoS2 field-effect transistor (FET) with ultrahigh electrical performance and optical responsivity using atomic-layer-deposited HfO2 as a top-gate (TG) dielectric was fabricated and investigated. The effective DG modulation of the MoS2 FET exhibited an outstanding electrical performance with a high on/off current ratio of 6 × 108. Furthermore, a large threshold voltage modulation could be obtained from −20.5 to −39.3 V as a function of the TG voltage in a DG MoS2 phototransistor. Meanwhile, the optical properties were systematically explored under a series of gate biases and illuminated optical power under 550 nm laser illumination. An ultrahigh photoresponsivity of 2.04 × 105 AW−1 has been demonstrated with the structure of a DG MoS2 phototransistor because the electric field formed by the DG can separate photogenerated electrons and holes efficiently. Thus, the DG design for 2D materials with ultrahigh photoresponsivity provides a promising opportunity for the application of optoelectronic devices.
Normalized glandular dose coefficients for digital breast tomosynthesis systems with a homogeneous breast model
Authors: Sarno Antonio , Tucciariello Raffaele Maria , Mettivier Giovanni , Del Sarto Damiano , Fantacci Maria Evelina , Russo Paolo
Published: February 2021

This work aims at calculating and releasing tabulated values of dose conversion coefficients, DgNDBT, for mean glandular dose (MGD) estimates in digital breast tomosynthesis (DBT). The DgNDBT coefficients are proposed as unique conversion coefficients for MGD estimates, in place of dose conversion coefficients in mammography (DgNDM or c, g, s triad as proposed in worldwide quality assurance protocols) used together with the T correction factor. DgNDBT is the MGD per unit incident air kerma measured at the breast surface for a 0° projection and the entire tube load used for the scan. The dataset of polyenergetic DgNDBT coefficients was derived via a Monte Carlo software based on the Geant4 toolkit. Dose coefficients were calculated for a grid of values of breast characteristics (breast thickness in the range 20–90 mm and glandular fraction by mass of 1%, 25%, 50%, 75%, 100%) and the simulated geometries, scan protocols, irradiation geometries and typical spectral qualities replicated those of six commercial DBT systems (GE SenoClaire, Hologic Selenia Dimensions, GE Senographe Pristina, Fujifilm Amulet Innovality, Siemens Mammomat Inspiration and IMS Giotto Class). For given breast characteristics, target/filter combination, tube voltage and half value layer (HVL), two spectra with two HVL values have been simulated in order to permit MGD estimates from experimental HVL values via mathematical interpolation from tabulated values. The adopted breast model assumes homogenous composition of glandular and adipose tissues; it includes a 1.45 mm thick skin envelope in place of the 4–5 mm envelope commonly adopted in dosimetry protocols. The simulation code was validated versus AAPM Task group 195 Monte Carlo reference data sets (absolute differences not higher than 1.1%) and by comparison to relative dosimetry measurements with radiochromic film in a PMMA test object (differences within the maximum experimental uncertainty of 11%). The calculated coefficients show maximum relative deviations of −17.6% and +6.1% from those provided by the DBT dose coefficients adopted in the EUREF protocol and of 1.5%, on average, from data in the AAPM TG223 report. A spreadsheet is provided for interpolating the tabulated DgNDBT coefficients for arbitrary values of HVL, compressed breast thickness and glandular fraction, in the corresponding investigated ranges, for each DBT unit modeled in this work.
Determining the parameter space for effective oxygen depletion for FLASH radiation therapy
Authors: Rothwell B C , Kirkby N F , Merchant M J , Chadwick A L , Lowe M , Mackay R I , Hendry J H , Kirkby K J
Published: February 2021

There has been a recent revival of interest in the FLASH effect, after experiments have shown normal tissue sparing capabilities of ultra-high-dose-rate radiation with no compromise on tumour growth restraint. A model has been developed to investigate the relative importance of a number of fundamental parameters considered to be involved in the oxygen depletion paradigm of induced radioresistance. An example eight-dimensional parameter space demonstrates the conditions under which radiation may induce sufficient depletion of oxygen for a diffusion-limited hypoxic cellular response. Initial results support experimental evidence that FLASH sparing is only achieved for dose rates on the order of tens of Gy s−1 or higher, for a sufficiently high dose, and only for tissue that is slightly hypoxic at the time of radiation. We show that the FLASH effect is the result of a number of biological, radiochemical and delivery parameters. Also, the threshold dose for a FLASH effect occurring would be more prominent when the parameterisation was optimised to produce the maximum effect. The model provides a framework for further FLASH-related investigation and experimental design. An understanding of the mechanistic interactions producing an optimised FLASH effect is essential for its translation into clinical practice.
Effect of Zn doping on electronic structure and optical properties zincblende GaN (A DFT + U insight)
Authors: Khan Muhammad Junaid Iqbal , Kanwal Zarfishan , Yousaf Masood , Ullah Hamid , Ahmad Javed , Latif Abid , Shin Yong-Han , Khalid Ata Ur Rahman
Published: February 2021

The development of new materials, having exceptional properties in comparison to existing materials is highly required for bringing advancement in electronic and optoelectronic technologies. Keeping this fact, we investigated structural, electronic, and optical properties of zincblende GaN doped with selected Zn concentrations (6.25%, 12.50%, and 18.70%), using the first-principle calculations based on density functional theory with GGA + U. We conducted the entire study using the WIEN2K code. In this study, we calculated various significant parametric quantities such as cohesive energies, formation energies, bulk moduli, and lattice constants along with the study of optical and electronic properties by substituting Ga atoms with Zn atoms in 1 × 2 × 2 supercell. The structural stability is confirmed by studying the phonon dispersion curves which suggest that Zn:GaN material is stable against the 6.25% and 18.70% Zn concentrations while for 12.50%, it shows instability. The Hubbard values U = 0, 2, 4, 6 eV were added to GGA and the electronic properties were improved with the U = 6 eV. Optical absorption was blue shifted while the refractive index and dielectric constant were increased with increasing the Zn concentrations. Electronic properties are enhanced due to the prime contribution of cations (Zn) 3d states. The optical and electronic properties are further discussed in detail in the entire study.
Exploring the influence of microRNA miR-34 on p53 dynamics: a numerical study*
Authors: Liu Nan , Yang Hongli , Yang Liangui
Published: February 2021

The tumor suppressor p53 is at the hub of the cellular DNA damage response network. P53-dependent cell fate decision is inseparable from p53 dynamics. A type of non-coding microRNA miR-34 has the function of enhancing p53 content. An intriguing question arises: How does miR-34 affect p53 kinetics? To address this question, we reconstruct a p53 signal transduction network model containing miR-34. Some experimental phenomena of p53 pulses are reproduced to explain the rationality of the model. The method of numerical bifurcation is used to investigate the effect of miR-34 on p53 kinetics. We point out that appropriate or higher miR-34 transcription rates can prevent DNA-damaged cell proliferation by causing p53 oscillation or high steady-state kinetic behavior, respectively. However, the lack of miR-34 synthesis ability will induce p53 to remain at a low level, and cells cannot respond correctly to DNA damage. These results are well in line with the anti-cancer role of miR-34. Our work sheds light on how miR-34 carries out its tumor-suppressive function from tuning p53 dynamic aspect.
Design and investigation of novel ultra-high-voltage junction field-effect transistor embedded with NPN*
Authors: Feng Xi-Kun , Gu Xiao-Feng , Ma Qin-Ling , Yang Yan-Ni , Liang Hai-Lian
Published: February 2021

Ultra-high-voltage (UHV) junction field-effect transistors (JFETs) embedded separately with the lateral NPN (JFET-LNPN), and the lateral and vertical NPN (JFET-LVNPN), are demonstrated experimentally for improving the electrostatic discharge (ESD) robustness. The ESD characteristics show that both JFET-LNPN and JFET-LVNPN can pass the 5.5-kV human body model (HBM) test. The JFETs embedded with different NPNs have 3.75 times stronger in ESD robustness than the conventional JFET. The failure analysis of the devices is performed with scanning electron microscopy, and the obtained delayer images illustrate that the JFETs embedded with NPN transistors have good voltage endurance capabilities. Finally, the internal physical mechanism of the JFETs embedded with different NPNs is investigated with emission microscopy and Sentaurus simulation, and the results confirm that the JFET-LVNPN has stronger ESD robustness than the JFET-LNPN, because the vertical NPN has a better electron collecting capacity. The JFET-LVNPN is helpful in providing a strong ESD protection and functions for a power device.
Problems of transition from traditional forms of educational process to the distance, digital format in the context of the COVID-19 pandemic: a regional aspect
Authors: Letyagina E A
Published: February 2021

This article outlines the results of a study of transition of educational organizations training specialists at the higher education level from traditional contact methods of direct interaction with students (classroom lectures, practical (laboratory) classes, etc.) to distance, contactless forms of educational process in the context of the COVID-19 pandemic. The study considers specific problems that higher education institutions faced during the spread of the COVID-19 virus and proposes ways to address emerging ones. In addition, the article reflects the results of the educational process of one of the higher education institutions in the Krasnoyarsk region (the Institute of Land Surveying, Cadaster and Nature Management of the Krasnoyarsk State Agrarian University), on the basis of which the impact of the identified problems on the educational process is assessed. Positive aspects of "digitalization" of educational institutions, which allowed ensuring the continuity and accessibility of the educational process, are also indicated. The benefits of the distance mode of knowledge transfer and the prospects for the development of distance learning considering the threats of the COVID-19 virus have been identified and noted. Establishing problems of transition to a distance form of conducting the educational process allowed to determine the factors and conditions that should be taken into account to ensure that both teachers and students are as effective and efficient as possible.
Digital engineering school on the way to digital production
Authors: Kovshov E E , Lesin S M , Kuvshinnikov V S
Published: February 2021

Identifies approaches for improving and enhancing the quality of pre, basic, and additional school’ engineering education according to key paradigm "Industry 4.0" based on the development and wide application of information and communication technology with opportunities in research areas of Industrial Informatics. As an example of implementation, innovative research and educational project of the Digital engineering school is considered, including designed for the practical implementation of continuous engineering education "School-University-Enterprise". The main objectives of the project "Digital engineering school" are formulated and disclosed, the approach to teaching programming in high-level languages using microcontrollers and microprocessor technology is highlighted, practical recommendations are given for its implementation in the structure of school education for both students and teachers.
Organization of a system of digital education practices in the municipal sphere of general education
Authors: Kornienko D V
Published: February 2021

This article is devoted to solving the problem of accumulation, systematization and translation of the practices of using digital educational technologies in municipal educational organizations. The solution to this problem was carried out through the implementation of the municipal project "Organization of a system of digital education practices in the urban district of the city of Yelets" in 2019. The project was aimed at involving at least 350 managing and teaching staff, 4000 students into the active practice of using digital educational technologies in educational organizations of the urban district of the city of Yelets by the end of 2019. As a way to achieve the goal, the implementation of a system of digital education practices in educational organizations of the urban district of the city of Yelets was determined. Continuity and concession are key features of this system. Consequently, the stakeholders are preschool educational organizations, general educational organizations, organizations of additional education, secondary vocational education and higher education. This system involved the use of such organizational forms as a resource center, a municipal network platform, a pivotal school, an author’s school, within which approbation, tuning and dissemination of the experience of using software products, the LECTA digital educational platform, the digital educational environment "Mobile e-education" and directions 3D modeling, digital video and robotics. The key results of the conducted research were not only quantitative but also qualitative indicators. The main problem that has blocked the adoption of digital education tools among the pedagogical community is the belief that they are ineffective compared to full-time education.
Examining the potential of VR and AR technologies for education
Authors: Magomadov V S
Published: February 2021

This paper delves into such technologies as Augmented Reality and Virtual Reality which have lately seen some significant advancements. These technologies are discussed in the context of education which may greatly benefit from them. Firstly, a brief history of these technologies is given and what these technologies are is explained. Then, the paper explains what kind of issues education faces today and how these technologies may help resolve some of these issues. In addition, the paper describes some of the technologies of this sort that are already being implemented to some extent. Finally, some of the main issues and challenges associated with these technologies are discussed.
Using the developed web-application for solving problems of increased complexity in mathematics
Authors: Volodina E V , Mikishanina E A
Published: February 2021

A student is faced with mathematical problems of increased complexity in the process of learning mathematics, in preparation for the unified state exam in Russia. The article presents some elements of the analysis of the results of the unified state examination in mathematics of the profile level, which is passed by school graduates of the Russian Federation, on the example of one of the subjects. The article also describes a web application that is a graphical editor that allows you to work with functions and their graphs. This application can make it easier to solve high-complexity tasks that involve working with functions and their schedules. The work of this application is illustrated by the example of solving mathematical problems with parameters.
Application of interactive technologies in organizing training of managers and specialists of the fuel and energy complex in the field of industrial safety
Authors: Glebova E V , Zayats B S , Volokhina A T , Vikhrov A E
Published: February 2021

In this study, we have carried out the analysis of modern educational technologies and methods that consider the socio-psychological aspects of classes (game forms of learning, case studies, group discussion, video analysis, debriefing, brainstorming, training) taking into account interactive learning format features. As a result, we have developed a professional development program "Behavioral Safety Audit. Rules of Conduct" for managers and specialists of the fuel and energy complex, aimed at training auditors. The acquired skills contribute to the formation and development of a high level of industrial safety culture among trainees as an important component of the health and safety management system.
Strategies for students’ lean competencies formation in the educational process of the university
Authors: Mishina S V
Published: February 2021

The article examines efficiency of various strategies for students’ lean competencies formation in the educational process of the university. The relevance of the issue is justified by the fact that university graduates with developed lean competencies are in high demand on the job market. In the present article lean competencies are formally described requirements for personal, professional and other skills and qualities of students, action plans, methods and algorithms of actions related to lean production in a specific area. The solution to the problem indicated is carried out via analysing results of the pedagogical experiment. During the experiment the effectiveness of four strategies of students’ lean competencies formation was tested: formal education, practical training, hidden curriculum, mixed strategy. 208 3rd and 4th year students mastering undergraduate programs in "Economics (Accounting, Analysis and Audit), Economics (Finance and Business Analytics)", "Management (Production Management)", "State and Municipal Administration (Regional and Municipal Administration) were surveyed during the experiment." The study identified the following components of lean competencies: 1) knowledge and understanding; 2) skill; 3) implementation. These components correspond to the first three levels of lean competencies according to international classification, namely fundamental lean competencies: knowledge and understanding-level of awareness (1A); skill-level of diagnostics and analysis (1B); implementation-level of improvement and implementation (1C). Diagnostic tools included testing, expert evaluation of case solutions, and lean projects development. Statistical data processing was carried out on the basis of a Fisher F-test variance analysis for three or more independent groups using Statistica 10 and SPSS 20 software.
Some problems of humanitarian training of future specialists in pedagogical specialties using interactive technologies
Authors: Yekimov Sergey , Getmanets Ganna , Miroshnik Larysa , Sosnina Tetyana , Havrylenko Anastasiia , Vasylieva Nadiia , Zymivets Nataliia , Bondarenko Zoya
Published: February 2021

The article examines a number of issues related to the social and humanitarian training of future teachers using interactive technologies. In our opinion, social and humanitarian training should be considered in close connection with educational, methodological, educational and research processes. It is associated with all areas of vocational education and contributes to their successful functioning. In our opinion, more attention should be paid to teaching students of social and humanitarian disciplines using interactive technologies. Their use contains great educational, creative and developmental potential. Social and humanitarian disciplines have an impact on the spiritual and moral behavior and actions of a person, however, traditional approaches to their study, as a rule, do not allow achieving the desired result. Focusing on the degree of importance of studying social and humanitarian disciplines, we substantiate that a person lives in a social and humanitarian environment, and his life is a social process. In the process of studying social and humanitarian academic disciplines using interactive technologies, it increases the flexibility of a person’s thinking, these disciplines have a significant impact on the emotional-motivational sphere of the individual, and also contribute to the development of skills related to introspection and analysis of human relations.
Adaptation of students to distance learning during COVID-19 in terms of cardiovascular indicators
Authors: Bashkireva Anastasia , Bashkireva Tatyana , Morozov Alexander , Osipenko Irina , Abol’yanina Natalia
Published: February 2021

The spread and danger of coronavirus infection for public health led to the transition of educational organizations to distance learning. The article presents the results of studying the adaptation of the cardiovascular system of students to distance learning during the period of COVID-19. To determine the capabilities of bodies to the conditions of distance learning using ICT, we used the Belgian test. The results of the study showed that the health level of boys is undesirable, while that of girls is average.
X-ray studies of multicomponent Sm0.2(Tb,Y)0.8Fe2 alloys
Authors: Politova G A , Yu Vanina P , Alekseeva O A , Filimonov A V , Aleroeva T A , Yu Pankratov N , Burkhanov G S , Ilushin A S
Published: February 2021

The multicomponent Sm0.2(Tb,Y)0.8Fe2 system was obtained by the arc melting method, in which atoms with a high magnetic moment of terbium are replaced by yttrium atoms that do not carry a noticeable magnetic moment. In this system, varying not only the composition, but also external factors (temperature, magnetic field, etc.), it is possible to influence competing exchange interactions and observe a number of unique phenomena, such as, for example, the phenomenon of magnetic compensation. Using the method of high-temperature and low-temperature X-ray diffraction, the phase composition and atomic-crystalline structure of the Sm0.2(Tb1-xYx)0.8Fe2 alloys (x = 0, 0.2, 0.4, 0.6, 0.8, 1) were studied. The temperature dependences of the unit cell parameters were obtained in a wide temperature range from 80 to 700 K. Thermal expansion was investigated by strain-gauge method. The temperatures of magnetostructural phase transitions are determined, and a magnetic phase diagram is constructed.
Identification of key nodes in abnormal fund trading network based on improved pagerank algorithm
Authors: Xiong Jianying , Xiao Wen
Published: February 2021

The traditional network theory is unsuitable for money laundering path analysis because of the complexity of financial transaction. The abnormal accounts are identified only by effectively mining the characteristics of fund flow. The importance of transaction node in the whole illegal capital flow is equivalent to that of the connection among these nodes. Through combining the page rank algorithm with the characteristics of fund flow, an improved weighted and iterative initial value mechanism is designed to calculate the transaction heat value of the account, thus the abnormal capital transaction account is screened out. When the method is applied to a money laundering case, the results show the improved page rank algorithm can effectively screen out the key account nodes in the money laundering network and provide clues for the monitoring of money laundering crimes.
Research on anthrax toxin analysis based on big data mining technology
Authors: Chen Jingfei , Li Hexi , Jiang Huaning , Liang Ting
Published: February 2021

Anthrax is still endemic in some areas around the world, and a large number of people and livestock are at risk of contracting anthrax. As the pathogenic substance of Bacillus anthracis, anthrax toxin plays an essential pathogenic role. Researchers have conducted detailed studies and reports on their genes, structures, and biological activities. However, few articles analyse the field from the perspective of bibliometrics. In the present study, we used bibliometric software such as Citespace to examine the literature data and aimed to provide a reference for researchers in this field. In terms of journals, P NATL ACAD SCI USA, INFECT IMMUN and J BIOL CHEM rank among the top 10 as to the number of published articles and the number of co-citations, and they have an important influence in the field of anthrax toxins. As for researchers, the quantity and quality of the articles published by the three researchers, LEPPLA SH, MOAYERI M, and COLLIER RJ, have advantages. Their research on anthrax toxin is worthy of attention. On the frontiers of research, future research may have various directions, such as the in-depth explanation of the mechanism of anthrax toxin-induced diseases, how to use anthrax toxin to enhance anti-tumour methods to guide the development of new vaccines based on the immunological mechanism of anthrax toxin, and use new materials and technologies to detect different aspects of development of anthrax toxins, etc.
Evaluation of green development level of Marine economy in Guangdong province based on entropy method
Authors: Zhao Ming , Xiao Jianhua
Published: February 2021

Based on the concept of green development, this paper analyzes the green development level of Marine economy in 14 coastal cities of Guangdong province with the help of the entropy method, and boosts the green development of Marine economy in Guangdong Province according to the research results. Starting from the status quo of Marine economy, the paper summasizes the current Marine economic development and ecological environment development in guangdong province, selects two dimensions of economic development and ecological environment protection to build a green ocean economy development index evaluation system in guangdong province, uses entropy method to calculate the index weight, scores for the ocean economy green development level of coastal cities of guangdong province, and analyses differences of green development level among every cities according to the scoring.
Construction of the management model of faculty in applied transition colleges
Authors: Li Guang
Published: February 2021

The professional development of college teachers is not only the internal demand of teachers’ self-development, but also an important means of optimizing school classification management. However, there is no appropriate and reasonable model for the management of college teachers. This paper uses literature analysis, interviews and questionnaire surveys, factor analysis, and structural equation modeling (SEM) methods to establish and verify the application of the six major influencing factors (ideals and beliefs, teacher development conditions, teacher-student relations, talent management, to analyze management model of teacher’s morality and style construction and ability literacy. And correlation analysis is carried out, thus providing direction guidance for the construction of university teachers and school teaching and administrative management.
Selection of audio materials in college music education courses based on hybrid recommendation algorithm and big data
Authors: Li Tianjiao
Published: February 2021

Aiming at the problem of audio material selection in college music education courses and to solve the problem of students’ low enthusiasm caused by improper selection of audio materials, this paper adopts the hybrid recommendation algorithm combining big data, personalized recommendation algorithm based on Collaborative Filtering Recommendation Algorithm (CF). Big data is used to obtain user evaluation matrix, and Pearson correlation coefficient is used to calculate the similarity between users, so as to form the nearest neighbor set, obtain the nearest neighbor set of target users, and generate the user-based recommendation set. At the same time, a questionnaire is set up to obtain the real evaluation scores of each user on the audio materials. 20% of the questionnaire data are used for model testing and 80% for model training. The accuracy of the square root error is measured, and the prediction score obtained by the model is compared with the real score. It is found that the mean RMSE value of the model adopted in this paper is 0.3813, which is at least 2.564% higher than that of similar models, and has a higher accuracy. Meanwhile, the algorithm is relatively simple, providing a reference for audio selection of college students in courses.
Quantitative analysis of enterprises’ talent management based on logistic model
Authors: Liu Dan
Published: February 2021

With the development of my country’s economy, the competition among enterprises has intensified. While obtaining more development opportunities, enterprises are facing new pressures and challenges. Continuously optimizing and adjusting corporate management models is necessary for enterprises to obtain development in more stable basis. Based on the background of human capital data in Beijing in 2019, this article uses the average salary, salary growth rate and job search frequency in different industries and different positions as independent variables, while the impact of turnover rate on the company as dependent variables, using binary logistic regression method, based on the analysis of the results of the calculation example, the practicality of the model is tested and reasonable suggestions are made, which have great reference significance for the enterprises’ talent management work.
Research on comprehensive benefit evaluation based on development and utilization of idle house site in rural area in Yunnan province
Authors: Wang Jing , Xie Ping , Yun Jianhui
Published: February 2021

Along with the process of industrialization, urbanization and “counter urbanization” as well as the movement of population in rural and urban areas, it makes the increase of idle house site in rural area, as well as stimulating the development of the rural house site market. In order to further develop and utilize the idle house site in rural areas, the research takes Yunnan Province as the research target, and analytic hierarchy process is used to determine the index weight, the fuzzy comprehensive evaluation method is used to carry out research on the comprehensive benefit evaluation based on idle house site development and utilization from three aspects of economic benefits, social benefits and ecological benefits. According to the research results, the comprehensive benefit evaluation grade with respect to the development and utilization of idle house site in rural area Yunnan is desirable, but the social benefit is evaluated as general. Therefore, it puts forward some countermeasures and suggestions, such as giving full play to the unique advantages of local area to promote the reuse of idle house site, strengthening the layout and management of rural house site, promoting the construction of auxiliary facilities necessary for the reuse of idle house site etc.
Optimization strategies for online courses in Chinese universities during COVID-19 pandemic
Authors: Zheng Haodi , Li Fei , Ge Liangquan , Zhang Qingxian , Gu Yi , Gu Zhixing
Published: February 2021

During the COVID-19 pandemic, Chinese colleges and universities have online courses all over the country, but there is no definitive model for evaluating the effect of online course education. In addition, most domestic universities analyze the factors that affect online courses from a qualitative perspective, and there are fewer reasonable mathematical models. This paper uses the Logistic model to establish a multiple model between college students’ online course learning conditions and various influencing factors, and uses a questionnaire survey to analyze the learning status of Chengdu University of Technology students who have taken online courses during the epidemic. Comparison of forecasts. It provides a reference for improving the online learning management system and improving students’ online learning level in the future.
The game model of signal transmission between e-waste recycling platform and recycler
Authors: Ji Xuehua
Published: February 2021

The recycling of e-waste has been widely concerned, because it influences human health and the reuse of resources. Based on the signal-passion game theory, this paper establishes the signal game model of internet platform and e-waste recycler, through analyzing the game model of separation equalization, mixed equalization and quasi-separation equalization, which reveals the internal operational mechanism between the platform and e-waste recycler, and emphasizes the separation equalization can achieve the separation of e-waste recycler. Finally, it provides many suggestions for recycling platform how to manage e-waste effectively and how to recycle efficiently for e-waste recycler, as we hope to improve the recovery rate of e-waste.
Design of optical emission system in 3D shape detection with oblique laser triangulation probe
Authors: Yao Qinghua , Cao Miao
Published: February 2021

In 3D laser scanning measurement system, the measurement accuracy of the whole system is determined by the optical system of the laser triangulation probe. This paper studies the optical transmitting system of oblique laser probe to solve this problem in 3D shape detection, based on the analysis of the principle of oblique laser triangulation. In order to reduce the influence of stray light and reduce the geometric distortion of 3D laser scanning measurement system, this paper selected a laser with a wavelength of 650nm as the light source to improve the distribution uniformity of image plane illumination. The design of optical transmitting system of the laser probe applies the beam splitter and normal coaxial layout under the premise of reducing the number of lenses and ensuring imaging quality. Finally, the results are analysed for radial transfer function curve, spot diagram and relative distortion.
A dropout prediction method based on time series model in MOOCs
Authors: Chen Min , Wu Lifa
Published: February 2021

In recent years, MOOCs has enjoyed great popularity due to its convenience and openness. However, with the development of MOOCs, the high dropout rate has aroused extensive attention. By analyzing the data of students’ behavior and then predicting whether students are at risk of dropout, it can improve the course completion rate. Most of the existing methods relying on feature engineering and the sequential characteristic of data is not effectively utilized. In this paper, we propose a time series model named CNN-LSTM-ATT, which focuses more on local valid information and temporal information of the data. Through extensive experiments on a public dataset, it shows that the proposed model can effectively predict students’ dropout behavior.
A Hyper-viscoelastic model for filled-rubber materials: experiments and simulations
Authors: Li Yunyu , Chen Shu , Chen Jing , Shi Shuyan , Peng Longfan
Published: February 2021

Rubber has been widely addressed as anti-vibration components in long time service structure, time-dependent behavior is an undesirable problem contributing to the low acceptance by applications. In this paper, a hyper-viscoelastic model is established so that the tension behavior of rubber is simulated and analyzed. This model is constructed by a hyperelastic element in parallel with a viscoelastic model and Polynomial model, which was examined by uniaxial tension test, was proved validly to be hyperelastic. A fairly good agreement between the tension creep test and analytical results claimed that the Generalized Maxwell model with six variables is suitable for expression of hyper-viscoelastic method. In this paper, by combining the results of uniaxial tensile and tensile creep experiments, a hyper-viscoelastic constitutive model is established, and the experiment is simulated compared with the experimental results.