bluuebunny/crossref_metadata_2025 huggingface dataset:
Suppression of halide migration and immobile ionic surface passivation for blue perovskite light-emitting diodes
Authors: Park Chan Beom , Shin Yun Seop , Yoon Yung Jin , Jang Hyungsu , Son Jung Geon , Kim Seongheon , An Na Gyeong , Kim Jae Won , Jun Young Chul , Kim Gi-Hwan , Kim Jin Young
Published: January 2022

The introduction of an immobile passivation material leads to the suppression of the deeper defect states of Cl-mixed perovskite nanocrystals, while the inevitable halide migration is hampered, resulting in high efficiency and spectral stability of blue PeLEDs.
Unit cell distortion and surface morphology diversification in a SnTe/CdTe(001) topological crystalline insulator heterostructure: influence of defect azimuthal distribution
Authors: Sulich Adrian , Łusakowska Elżbieta , Wołkanowicz Wojciech , Dziawa Piotr , Sadowski Janusz , Taliashvili Badri , Wojtowicz Tomasz , Story Tomasz , Domagala Jaroslaw Z.
Published: January 2022

Monoclinic-distorted SnTe(001) topological crystalline insulator layers with a strain large enough to open the energy gap in the metallic Dirac-like spectrum of surface states were grown by molecular beam epitaxy and crystallographically analyzed.
Structure‐aware multiple salient region detection and localization for autonomous robotic manipulation
Authors: Bhuyan Sudipta , Sen Debashis , Deb Sankha
Published: January 2022

This paper proposes a multiple salient region detection and localization approach for unstructured industrial robot work environments with arbitrarily located and orientated objects. Different from the existing, the authors' novel technique to detect multiple salient regions performs locally adaptive center‐surround operations on proto‐object partitions obtained through color consistency and spatial proximity analysis. The multi‐scale center‐surround operations are done by masks that are local structure‐aware yielding regions with precise and accurate boundaries as required for robotic manipulation. First, experiments to evaluate the multiple salient region detection performance are carried out using four standard databases having images with multiple salient objects. Quantitative result analysis using F‐measure, shuffled F‐measure, shuffled AUC and MAE, and subjective result inspection suggests that the proposed approach is in general better at collectively detecting multiple salient regions than the state‐of‐the‐art, including those based on deep learning. Then, real‐life experiments involving robotic manipulation are carried out to demonstrate the utility of the multiple salient region detection method. For robotic manipulation, object localization is improved after salient region detection by employing a fast shadow detection algorithm proposed based on hue analysis, and recognition through existing matching techniques is applied only at the localized salient regions. The benefit of the novel multiple salient region detection approach in the robotic manipulation system is shown using localization and pose estimation accuracy, rates of detection and recognition, positional and angular errors, and processing speed.
Handling stability control strategy for four‐wheel hub motor‐driven vehicle based on adaptive control for road adhesion
Authors: Zhai Li , Wang Chengping , Zhang Xueying , Hou Rufei , Mok Yuh Ming , Hou Yuhan
Published: January 2022

Handling stability control can improve the safety of four in‐wheel motor independent‐drive electric vehicle (4MIDEV). An adaptive motion state control strategy based on improved sliding mode control for 4MIDEV is proposed to improve the steering stability control of the vehicle under different adhesion conditions. This adaptive control strategy uses a multi‐layer structure, which mainly includes a motion reference layer, an upper‐layer motion controller, and a lower‐layer torque distribution controller. Aiming at the non‐linear dynamic characteristics of 4MIDEV under different adhesion conditions, a dynamically parameter‐varying motion reference layer is constructed to improve the accuracy of the reference values of sideslip angle and yaw rate, and realize the joint control of them. Considering the adhesion coefficient, construct the comprehensive yaw rate state variable, and use the improved sliding mode control algorithm to calculate the expected yaw moment. The lower‐level controller uses the optimal distribution method to distribute the torque of each drive wheel in combination with the adhesion coefficient. By constructing a joint simulation platform of Carsim and Simulink, simulations under different road adhesion conditions are realized, verifying that the proposed improved strategy can effectively adapt to different adhesion conditions, while improve the handling stability of 4MIDEV.
Impact of local pressure enhancements on dust concentration in turbulent protoplanetary discs
Authors: Lehmann M. , Lin M.-K.
Published: January 2022

The standard core accretion model for planetesimal formation in protoplanetary discs (PPDs) is subject to a number of challenges. One is related to the vertical settling of dust to the disc mid-plane against turbulent stirring. This is particularly relevant in the presence of the vertical shear instability (VSI), a purely hydrodynamic instability applicable to the outer parts of PPDs, which drives moderate turbulence characterized by large-scale vertical motions. We investigate the evolution of dust and gas in the vicinity of local pressure enhancements (pressure bumps) in a PPD with turbulence sustained by the VSI. Our goal is to determine the morphology of dust concentrations and if dust can concentrate sufficiently to reach conditions that can trigger the streaming instability (SI). We performed a suite of global 2D axisymmetric and 3D simulations of dust and gas for a range of values for Σd∕Σg (ratio of dust-to-gas surface mass densities or metallicity), particle Stokes numbers, τ, and pressure bump amplitude, A. Dust feedback onto the gas is included. For the first time, we use global 3D simulations to demonstrate the collection of dust in long-lived vortices induced by the VSI. These vortices, which undergo a slow radial inward drift, are the dusty analogs of large long-lived vortices found in previous dust-free simulations of the VSI. Without a pressure bump and for solar metallicity Z ≈ 0.01 and Stokes numbers τ ~ 10−2, we find that such vortices can reach dust-to-gas density ratios slightly below unity in the discs’ mid-plane, while for Z ≳ 0.05, long-lived vortices are largely absent. In the presence of a pressure bump, for Z ≈ 0.01 and τ ~ 10−2, a dusty vortex forms that reaches dust-to-gas ratios of a few times unity, such that the SI is expected to develop, before it eventually shears out into a turbulent dust ring. At intermediate metallicities, Z ~ 0.03, this occurs for τ ~ 5 × 10−3, but with a weaker and more short-lived vortex, while for larger τ, only a turbulent dust ring forms. For Z ≳ 0.03, we find that the dust ring becomes increasingly axisymmetric for increasing τ and dust-to-gas ratios reach order unity for τ ≳ 5 × 10−3. Furthermore, the vertical mass flow profile of the disc is strongly affected by dust for Z ≳ 0.03, such that gas is transported inward near the mid-plane and outward at larger heights, which is the reversed situation compared to simulations with zero or small amounts of dust. We find viscous α-values to drop moderately as ~10−3–10−4 for metallicities increasing as Z = 0–0.05. Our results suggest that the VSI can play an active role in the formation of planetesimals through the formation of vortices for plausible values of metallicity and particle size. Also, it may provide a natural explanation for the presence or absence of asymmetries of observed dust rings in PPDs, depending on the background metallicity.
Does COVID-19 really make people risk aversion in investment decision-making?
Authors: Iqbal Muhammad Shadab , Li Lin
Published: January 2022

The economic fallout from COVID-19 pandemic changes individuals’ investment perceptions and behaviors in a tremendous way. Consequently, investment decision-making has been affected as people have to adjust to the new environment. This study aims to study whether COVID-19 really make people risk aversion due to the economic slowdown. Our empirical results are analyzed from household finance data in U.S in July 2021. It is found that COVID-19 proximity, income, and occupation are positively associate with risking taking in investment decision-making, while age and family size are not. This study contributes to the newly emerged body of knowledge on post pandemic investment decision-making and risk behavior analysis and provide implications for financial investment institutions.
The use of the BIM method for sustainable care of historic buildings: Methodological framework
Authors: Vitasek Stanislav
Published: January 2022

The article presents the use of the Building Information Modelling (BIM) method applied to historic buildings (HBIM). This is a very current topic with a direct link to the development of digital innovations. The HBIM approach presented in the article is primarily targeted at the owners/managers of historic buildings where its greatest expected benefit for this type of buildings is, in particular, in Facility Management. The key output of the article is the group of proposed parameters, which represents the requirements for the data on the part of both the facility manager, and the public authorities collecting selected information about historic buildings. As an example, the proposed parameters were applied to the All Saints’ Church, where the “BIM technologies“ were used for the elaboration of the project documentation.
Les transformations dynamiques des configurations de participation formatives en situation de travail : le cas des ergothérapeutes
Authors: Janet Renaud , Markaki-Lothe Vasiliki
Published: January 2022

Un tiers du temps de formation des ergothérapeutes se déroule en stage. Cependant il n’existe aucune recommandation didactique pour l’encadrement et le suivi des stagiaires. Cette question émerge : Quelles sont les modalités pratiques de l’accompagnement tutoral dans l’acquisition des compétences en stage ? Nous proposons, ici, d’explorer des enregistrements audio-vidéo de pratiques tutorales en situation de travail réel couplés à des entretiens semi-directifs auprès des tuteurs. Les données sont analysées selon les principes analytiques de l’Analyse Conversationnelle issue de l’ethnométhodologie. En mettant en relation les modalités de participation des acteurs avec les enjeux et implications de la formation professionnelle des ergothérapeutes, nous repérons le caractère dynamique et poreux de quatre configurations de participation typiques de la formation : observation, co-animation, monstration et laisser-faire.
Gefährliche Enge – Fallbeispiel chronisch obstruktive Lungenerkrankung
Authors: Merz Philippe
Published: January 2022

„Organsystemübergreifendes, vernetztes Denken“ ist der Schlüssel zum physiotherapeutischen Dialog mit dem „Organismus Mensch“. Am Beispiel der chronisch obstruktiven Lungenerkrankung zeigt der Artikel ein strukturiertes Behandlungsvorgehen auf.
Management of Frontal Bone Fracture in a Tertiary Neurosurgical Care Center—A Retrospective Study
Authors: Srinivasa Rakshith , Furtado Sunil V. , Sansgiri Tanvy , Vala Kuldeep
Published: January 2022

Objective We present our experience in the management of frontal bone fractures using the previously described radiologic classification of frontal bone fractures.

Methodology A retrospective study was conducted, which reviewed the medical records and computed tomographic (CT) scan images of patients with frontal bone fracture from January 2016 to February 2019. Patients with complete medical records and a follow-up of minimum 1 year were included in the study. Demographic details, mechanism of injury, associated intracranial injuries, maxillofacial fractures, management, and complications were analyzed. CT scan images were used to classify the frontal bone fractures using the novel classification given by Garg et al (2014). The indications for surgical treatment were inner table frontal sinus fracture with cerebrospinal fluid (CSF) leak, intracranial hematoma with significant mass effect requiring surgical evacuation, and outer table comminuted fracture that is either causing nasofrontal duct obstruction or for cosmetic purpose.

Results A total of 55 patients were included in the study. Road traffic accidents as the commonest cause of frontal bone fractures. The most common fracture pattern was type 1 followed by type 5 and depth B followed by depth A. Four patients presented with CSF rhinorrhea. CSF rhinorrhea was more frequent with fracture extension to the skull base (depth B, C, D), which was statistically significant (p < 0.001).

Conclusion Frontal bone fracture management has to be tailor-made for each patient based on the extent of the fracture, presence of CSF leak, and associated intracranial and maxillofacial injuries.
Distortion correction method of line shape based on harmonic detection
Authors: Tang Qi-Xing , Guo Nan , Zhang Yu-Jun , Chen Dong
Published: January 2022

When wavelength modulation spectroscopy is used for gas detection in open space, the second harmonic signal is modified due to the interference of optical noise, uncontrollable environmental noise, etc., resulting in the distortion of the line shape, which affects the measurement accuracy. In this study, the harmonic signal distortion is theoretically analyzed, and a distortion correction method of the line shape is proposed based on harmonic detection. By correcting the zero line offset and line shape distortion, the effect of interference is reduced. Furthermore, a monitoring system based on the harmonic technology is established, and a series of experiments are conducted to validate the efficacy of the proposed method. The experimental results reveal that after background noise elimination and zero line offset correction, the maximum fluctuation of the spectral signal in the non-absorption side of the sidelobe is reduced from 0.093 to 0.055 V on the left side and from −0.111 to −0.032 V on the right side. Furthermore, the standard deviation of the peak height ratio before and after the distortion correction is 0.283 and 0.001, respectively, and the standard deviation of the Euclidean distance is 2.601 and 0.007 pm, respectively. The proposed method is compared with traditional 2f concentration inversion and I2f/I1f methods. The mean values for the three methods are 2.80, 2.80, and 2.83 ppm, respectively. The standard deviation of the proposed method is 0.018 ppm, and the Allan analysis result is 2.65 × 10−8 (1 s). These results verify the accuracy of the proposed method.
In-plane reflection phase engineering of graphene plasmons realized by electronic boundary design at the nanoscale
Authors: Jiang Xiaojie , Luo Weiwei , Zhang Ni , Fan Jiang , Wang Lei , Xiang Yinxiao , Lu Yao , Ma Zenghong , Ren Mengxin , Zhang Xinzheng , Cai Wei , Xu Jingjun
Published: January 2022

Understanding and controlling the reflection phase picked up by graphene plasmons (GPs) upon scattering at graphene boundaries is a prerequisite for designing the GP propagation and the resonance properties of GPs in nanostructures. However, an efficient method that could continuously change the reflection phase of GPs in a wide range is still lacking. Here, we demonstrate that the reflection phase of GPs can be effectively controlled by electronic boundary design. Specifically, a Fabry–Pérot (F–P) cavity is constructed by two electronic boundaries and then acts as an equivalent reflection boundary. Theoretical results show that the reflection phase of GPs could continuously vary in a wide range, almost 2π, by simply changing the graphene Fermi energy and the width of the F–P cavity. Furthermore, the evolution of GP modes is obtained in the simulated scattering-type scanning near-field optical microscopy experiment, which verifies the feasibility of the reflection phase control by employing our configuration. This work not only paves a way for in-plane plasmon control but also could serve as a valuable reference to various graphene-based plasmonic applications.
Research on Deep Learning-Based Algorithm and Model for Personalized Recommendation of Resources
Authors: Liu Yu’e
Published: January 2022

Resource recommendation system is a new type of management system, which uses personalized information to solve business needs such as customer consultation and product recommendation, and provides users with high quality services and achieves accurate marketing, so nowadays resource recommendation system has a pivotal role in modern resource management. In this paper, I study the algorithm and model of resource personalized recommendation based on deep learning, taking human resource recommendation as an example.
Research on Global Security Sharing of Power Grid Information Based on Differential Privacy Model
Authors: Li Cui , Wu Fei , Lin Wenqin
Published: January 2022

With the advancement of science and technology, intelligent power transmission technology is also constantly developing. Among them, the information security of the transmission grid in the power system is an important content that cannot be ignored. This article first analyzes the current status of power information security issues, including research on the current status of foreign power information security. Secondly, it studies the differential privacy model, finally it studies the power grid security domain information sharing technology.
Network Security from the Perspective of the Internet of Things
Authors: Zhou Ang
Published: January 2022

Networking is one of the new technologies supported by our country’s national “125” strategic industry plan, mainly used in medicine, military industry, transportation and other fields. While enjoying the convenient business of the, people also pay more attention to the security of the Internet of Things information system. Therefore, this article mainly discusses security under the perspective of the IoT, and understands the relevant basic theoretical knowledge about the IoT and security on the basis of a large number of documents, and then conceives the security methods under the perspective of the IoT, and the designed method has been tested, and the test results show that the performance of the encryption algorithm in the network security scheme of this article is due to the traditional encryption algorithm. When the encrypted text is 15000 bytes, the encryption time is 40s.
Cash Collection Model of Electric Power Business Office Based on Computer Algorithm
Authors: Guo Binghua , Guo Nan
Published: January 2022

With the continuous development of intelligent algorithms, mobile robot (hereinafter referred to as MR) technology is gradually mature, which has been widely used in a variety of industries, such as industry, agriculture, medical treatment, service and so on. With the improvement of intelligent level, people have higher and higher requirements for MRs, which requires MRs to constantly adapt to different environments, especially dynamic environments. In the dynamic environment, obstacle avoidance technology has become the focus of intelligent robot research, which needs to continuously develop a variety of algorithms. By combining a variety of algorithms, we can realize obstacle avoidance and PP (hereinafter referred to as PP) of MR, which can realize obstacle avoidance more efficiently, in real time and intelligently. Multi algorithm fusion of MR has become the main trend of obstacle avoidance in the future, which will realize PP and optimization. Firstly, this paper analyzes the differences between traditional algorithms and intelligent algorithms. Then, the kinematics model and PP algorithm of MR are analyzed. Finally, the simulation is carried out.
Research on Image Fusion Algorithm Based on Nonsubsampled Shear Wave Transform and Principal Component Analysis
Authors: Jia Huiying
Published: January 2022

With the development of network remote monitoring technology, its application in all walks of life has become more and more extensive. The application of remote monitoring technology makes the development of all walks of life more intelligent and informatized. This paper analyzes the development status of remote monitoring technology, and studies the design and implementation of remote network monitoring system based on computer technology. It also conducts related research on the future development trend of remote monitoring technology.
Research on Interactive Visual Communication Design System Based on Dynamic Image
Authors: Lai Runping
Published: January 2022

The SVR image marine-continental segmentation algorithm on account of ameliorated CV model can segment the marine-continental image efficiently, and compare the image results with the original model, so as to continuously iterate the effectiveness of image segmentation. On account of this, this paper first analyses the concept and main methods of SAR image marine-continental segmentation algorithm, then studies the SAR image marine-continental segmentation algorithm on account of ameliorated CV model, and finally gives the process and effect analysis of SAR image marine-continental segmentation on account of ameliorated CV model.
Dynamic Obstacle Avoidance Algorithm Based on DYNAMIC Environment MR
Authors: Guo Juan
Published: January 2022

With the rapid development of computer technology, the importance of database systems as an indispensable part of information systems is becoming more and more prominent. And nowadays, the society has been increasingly using modern means to program databases. Database is a large and complex, huge amount of data and has a certain structure and independence of the important system, its programming requires certain technical means, the author will be in the text for the database programming involved in the key technology to explain.
BIM Technology Based on the Cost of Landscape Engineering
Authors: Wang Zheng , Ma Cheng
Published: January 2022

With the development of science and technology, the number of robots manufactured is increasing day by day. Exploration into uncharted territory also arises, which poses great challenges for contemporary robot creation. Ordinary robots are not yet able to give people much of the help they need. In this paper, the dynamic direction of the robot through multiple linear reinforcement learning and the robot based on this reinforcement learning will help people to solve the problems in work will be discussed from the current situation, future trend and many different perspectives of the development of robots in China. Secondly, also put forward the need to prevent hidden trouble both solutions.
Research on A Joint Attribute Based Neural Network Model for Multi-class Voltage Violation
Authors: Qin Peng
Published: January 2022

Electronic engineering technology is a symbol of modern technology, and a large number of electronic devices have been produced. This paved the way for the development of the Internet. This article analyzes the characteristics of the application of computer electronic engineering technology, and it analyzes the measures to strengthen the application of electronic engineering technology and the measures to promote the development of electronic engineering technology. In addition, this article also studies the teaching system design of electronic engineering technology.
RETRACTED: Remote Monitoring System Based on Artificial Intelligence Technology
Authors: Wang Fanhua , Qu Jiangli
Published: January 2022

With the advent of the information age, IOTT has been favored by many industries and has become another profound revolution in the IT industry. In such an era, the application of IOTT in IB construction can broaden the practicability of intelligent system, ORA, improve the management and service ability of IB, so as to improve people’s quality of life. This paper expounds the development status and future challenges of IOTH, and analyzes the interactive design of smart TV.
Computer Network Security Defense Model
Authors: Niu Yiming , Du Wenyong , Tang Zhenying
Published: January 2022

With the rapid development of the Internet industry, hundreds of millions of online resources are also booming. In the information space with huge and complex resources, it is necessary to quickly help users find the resources they are interested in and save users time. At this stage, the content industry’s application of the recommendation model in the content distribution process has become the mainstream. The content recommendation model provides users with a highly efficient and highly satisfying reading experience, and solves the problem of information redundancy to a certain extent. Knowledge tag personalized dynamic recommendation technology is currently widely used in the field of e-commerce. The purpose of this article is to study the optimization of the knowledge tag personalized dynamic recommendation system based on artificial intelligence algorithms. This article first proposes a hybrid recommendation algorithm based on the comparison between content-based filtering and collaborative filtering algorithms. It mainly introduces user browsing behavior analysis and design, KNN-based item similarity algorithm design, and hybrid recommendation algorithm implementation. Finally, through algorithm simulation experiments, the effectiveness of the algorithm in this paper is verified, and the accuracy of the recommendation has been improved.
Research on Multi-scene and Multi-station Fusion Mode Based on Layered Theory of Energy Internet
Authors: Yang Xiaoliang , Zhao Honggang , Ren Hongyuan
Published: January 2022

Multi-station integration is a new form of business in the development of energy Internet and a brand new practice of power iot. It is an innovative form that strengthens the interaction between charge and storage of source network on both sides of energy supply and demand, and enhances the flexibility of power grid by taking substation, energy storage station, distributed energy station and other resources as the core. However, there is not a set of construction mode that can guide implementation, copy and popularize. Therefore, guided by the existing construction practice of multi-station fusion in China and combined with multi-user scenarios, this paper studies the multi-station fusion mode, proposes a multi-station fusion planning system based on EIST theory, gives the fusion mode under different business scenarios, and synchronously constructs a new ecological business chain with multi-station fusion as the core. It aims to make full use of the innate advantages of substation in energy flow convergence, realize the “integration of energy flow, business flow and data flow”, comprehensively support the transformation of digital power grid, and practice the national development strategy of “digital economy” and “digital China”.
Bayesian Model Updating Based on Kriging Surrogate Model and Simulated Annealing Algorithm
Authors: Wang Zenghui , Yin Hong , Peng Zhenrui
Published: January 2022

Aiming at the problem of difficulty in selecting the proposal distribution and low computational efficiency in the traditional Markov chain Monte Carlo algorithm, a Bayesian model updating method using surrogate model technology and simulated annealing algorithm is proposed. Firstly, the Kriging surrogate model is used to mine the implicit relationship between the structural parameters to be updated and the corresponding dynamic responses, and the Kriging model that meets the accuracy requirement is used to replace the complex finite element model to participate in the iterative calculation to improve the model updating efficiency. Then, the simulated annealing algorithm is introduced to reorganize the Markov chains from different proposal distributions to obtain high-quality posterior samples, which are used to estimate the parameters posterior distributions. Finally, a space truss structure is used to verify the effectiveness of the proposed method.
Punching Shear Failure Regulation of Reinforced Concrete Beams Subjected to Close-in Explosion
Authors: Tang Hong , Zhai Hongbo , Su Jianjun , Fu Teng
Published: January 2022

Aiming at the damage effect of reinforced concrete beams subjected to close-in explosion, numerical simulation and dimensional analysis are carried out to study the damage of beams under close-in explosion with spherical charge. The damage characteristics of beams were obtained by the methods of AUTODYN and DYNA. Using dimensional analysis, the relationship between the damage characteristics of reinforced concrete beams and the stand-off distance is deduced. The empirical equation of the beam punching shear failure characteristics is fitted on the basis of numerical simulation. The results show that the simulation method is more efficient than the fluid-solid coupling calculation; the proposed empirical equation is in good agreement with the experimental results. The relationship between failure width and the stand-off distance obtained by the fitting and the modelling method have reference value for the research on the damage effect of reinforced concrete beams.
A Quantitative Index Representing Crack Shapes and Corresponding Techniques
Authors: Wu Junhua , Kuang Tangliang , Fu Fangyuan , Li Jiahao
Published: January 2022

In order to quantificationally describe the soil cracks due to dry-wet cycles, the concept of gray level entropy is applied according to the physical significance of the information entropy to represent various shapes of cracks. Then a piece of simple and easy-to-use equipment for taking photos is used to monitor and record the crack propagation. A grayscale image and the corresponding gray level entropy are obtained automatically by a program. Test results showed that gray level entropy can quantificationally describe the shape of cracks reasonably well and evaluate the degree of crack development effectively.
Influence of Relative Molecular Mass of SBS on Low-Temperature Performance of Modified Asphalt
Authors: Peng Ting , Yang Kesheng , Zhou Taoyan , Wu Heng
Published: January 2022

Styrene Butadiene Styrene (SBS) is widely used in pavements because it significantly improves the performance of the modified asphalt. The dosage of SBS has an important effect on the low-temperature performance of the modified asphalt. The difference in relative molecular weight influences the magnitude of the change in low-temperature performance. In this paper, low temperature bending beams rheology test of five different relative molecular weight SBS modified asphalt is conducted at -12°C, -18°C and -24°C to evaluate the low-temperature properties of modified asphalt. Then, the experimental results are analysed. The results show that there is a certain correlation between the relative molecular mass of SBS and the low-temperature performance of modified asphalt. The creep stiffness and creep rate of the modified asphalt are influenced by the relative molecular mass of SBS and temperature. As the relative molecular mass increases, the low-temperature performance of the modified asphalt first rises and then decreases.
Mechanical Mechanism Analysis of Warping and Bulging Of Track Slab of High-Speed Railway in Service
Authors: Liu Yali , Dong Jun , Li Guohua , Chen Xi , Zhang Yunkai
Published: January 2022

Due to warpage and ballooning of high-speed rail track slab caused by debonding and environmental temperature changes during the deterioration of CA mortar layer being extremely concerned in practical engineering, it is based on numerical simulation of typical working conditions and analysis of test model that the deformation dynamics mechanism of track slab of high-speed rail in service is studied in this paper. Firstly, three kinds of damage conditions of CA mortar layer are designed to simulate the partial stress state of track slab under normal, warping and bulging conditions, and the results of model test are compared with those of finite element analysis so that the accuracy and credibility of the numerical simulation method and results are verified. Then, through finite element numerical simulation, the dynamical mechanism of actual full-scale high-speed rail track slab under vibration load is studied. The results show that the warping deformation around the track slab and the bulging deformation in the middle part under the action of positive and negative temperature gradient load caused by environmental temperature change will have a great impact on the structural performance of itself and CA mortar layer; Bulging deformation of track slab is more destructive to its structure than warping deformation. It is of great practical significance to further study the critical position of track plate warpage and bulging deformation, and to optimize and strengthen the structure of this part; The research results are of great significance to further study the deterioration.
Analysis on Dynamic Characteristics and Seismic Response of Wooden Structure of South Gate Building in Jiangzhang Town
Authors: Ren Xiancai , Meng Zhaobo , Wang Xin , Gao Feifei , Zhang Ting
Published: January 2022

In order to study the seismic performance of ancient wooden structures with single eaves and beam lifting in China, the finite element model of the upper floor of the south gate of Jiangzhang town in Shanxi Province was established by using ANSYS. Through modal analysis, the main frequencies and modes of the south gate of Jiangduan were obtained. Through the seismic response analysis of the south gate tower model, the displacement and acceleration response curves of the top nodes of the outer eaves column, golden column and through column under various working conditions of the South gate tower are obtained. The results show that the first and second order frequencies of the South Gate tower model are 1.830Hz and 1.855Hz, and the first two order modes are mainly transitional. With the increase of seismic excitation, the displacement and acceleration response of the top joints of the outer eave column, golden column and through column increase.
Experimental Investigation on Dynamic Performance of Micro-Pile with Predrilled Oversize Hole on Shaking Table Test
Authors: Cheng Laixiu , Chen Gumai
Published: January 2022

For the situation of lacking research on micro-pile with predrilled oversize hole, the key part of semi-integral abutment bridge, the micro-pile-soil interaction shaking table test is carried out by considering the reaming pore diameter, depth, packing and other parameters in the end of the micro-pile to obtain the acceleration, pile moment, displacement and pile-system response frequency and other basic dynamic response and dynamic interaction law. Results show that: 1) the change of predrilled-hole parameters has litter effect on the dynamic properties of soil outside oversize hole; 2) The change of predrilled-hole parameters can cause the change of structural frequency, so led to the change of inertia force of pile head; 3) Inertial interaction has an important influence on the response of the upside part of pile and little influence in the downside part (lower than 15D). These conclusions will provide reference for dynamic response of interaction between pile with predrilled oversize hole and soil and make contribution to the practical application and designing of micro-pile with predrilled oversize hole.
Experimental Study on Mechanical Properties of Repair Materials for Underwater Rapid Construction
Authors: Zhao Shangchuan , Liu Longlong , Zuo Xindai , Wang Shaopeng
Published: January 2022

Several strength grades of sulphoaluminate cement concrete were designed, and the mechanical properties with different mix ratios were studied. This paper mainly analyzes the mechanical properties of sulphoaluminate cement concrete with the setting time test, compressive strength test and flexural test. The test results show that the setting time of cement concrete can be controlled by mixing different admixtures. One hand, the initial setting time increases from 34 min to 340 min, and the final setting time increases from 57 min to 580 min when the incorporated borax content changes from 0 to 1.0 %. Other hand, the initial setting time decreased from 34 min to 11 min, and the final setting time increased from 57 min to 18 min, when the incorporated borax content changed from 0 to 0.5 %. Furthermore, the compressive strength can reach 40 MPa, and the flexural strength can reach more than 2.5MPa after 6 hours of curing. The experiment results illustrate that the setting time and the mechanical properties satisfy the needs of the rapid construction requirements under normal temperature conditions.
Analysis of Longitudinal Force of Beam and Rail of Continuously Welded Rails (CWR) on Railway Bridge
Authors: Zeng Zhiping , Hu Ji , Zeng Qiang , Huang Zhibin , Yin Huatuo , Huang Hui
Published: January 2022

To study the longitudinal force of CWR on viaduct, a track-bridge-pier finite element model is established. Taking a multi-span simply supported beam with a maximum span of 32.7m of an elevated CWR as an example, the additional expansion and contraction forces, displacement between rail and beam and the force of pier are calculated, and whether the rail stress meets the requirements when setting constant resistance fasteners is checked. The results show that: (1) For the left and right lines, the maximum additional expansion forces of single strand rail are both 211.13kN, and the maximum relative displacements between beam and rail are both 6.572mm. (2) The maximum value of the additional expansion and contraction forces and the relative displacement between beam and rail of the same line occur at the same position. The left line is at ZFZ29 pier and the right line is at ZFS31 pier. (3) The maximum force of pier in this section is 500.80kN, and the pier numbers are ZFZ27 and ZFS29. (4) The rail stress is less than the allowable stress of 352MPa, and the rail strength meets the requirements.
A mathematical model to study the dynamics of carbon capture in forest plantations
Authors: Altamirano-Fernández A , Rojas-Palma A , Espinoza-Meza S
Published: January 2022

Fast-growing forest plantations play an important role in reducing global warming and have great potential for carbon capture. In this study, we aimed to model the dynamics of carbon capture in fast-growing plantations. A mathematical model is proposed consisting of a tridimensional nonlinear system. The variables involved are the amount of living biomass, the intrinsic growth of biomass, and the burned area by forestry fire. The environmental humidity is also considered, assumed as a parameter by simplicity. The solutions of the model are approximated numerically by the Runge-Kutta fourth-order method. Once the equilibria of the model have been obtained and its local stability determined, the analysis of the model reveals that the living biomass, as well as the stored carbon, decreases in each harvest cycle as a consequence of the negative effects of fire on soil properties. Furthermore, the model shows that the maximum area burned is attained always after the maximum volume of biomass is obtained. Numerical simulations show that the model solutions are reasonable for the growth dynamics of a plantation, from a theoretical perspective. The mathematical results suggest that a suitable optimal management strategy to avoid biomass losses in the successive regeneration cycles of the plantation is the prevention of fires together with soil fertilization, applied to fast-growing plantations.
Computational tool for learning electrostatic physics through the development of a disruptive methodology
Authors: Ramírez-Carvajal L E , Puerto-López K , Castro-Casadiego S
Published: January 2022

A computational tool for learning electrostatic physics is presented through the development of a disruptive methodology. The tool allows the analysis of case studies based on Coulomb’s law, Gauss’s law, Poisson’s equation, and Laplace’s equation with boundary value. The tool was tested using reference exercises for each case study, making use of quantitative and qualitative comparative analysis between the traditional mathematical development and the computational tool. Errors were measured using Likert scale. The quantitative results showed errors of less than 1.8% in all the cases studied, concluding that the tool is effective. The qualitative results showed that the methodology allows a better development of the electrostatics learning process, dynamizing the study of complex topics such as electromagnetic physics theories through interactivity and technological resources, in addition to having a theoretical module developed using agile methodologies that provide dynamism and an intuitive environment to the interface.
Fractal analysis of neuroimaging: comparison between control patients and patients with the presence of Alzheimer’s disease
Authors: Villamizar J , Uribe L , Cerquera A , Prada E , Prada D , Alvarez M
Published: January 2022

Alzheimer’s disease is a neurodegenerative cognitive, affective, and behavioral disorder aligned to the aging process and other coronary diseases. To contribute to the early diagnosis of the disease, a neuroimaging treatment is implemented through a preprocessing to subsequently calculate the fractal dimension associated with these images in order to propose an alternative to the one proposed in medical physics through positron emission tomography. In this work, a comparative analysis is made of a previous work using the Box Counting methodology versus the calculation of the fractal dimension by means of software developed by the researchers based on the same method. The differences between the fractal dimensions of the neuroimages of control patients and patients with the presence of the disease are maintained showing a lower value of fractal dimension in patients with the disease due to the physical deterioration of the brain.
Difficulties in the interpretation of kinematics graphs in secondary basic education students
Authors: Prada Núñez R , Gamboa Suárez A A , Avendaño Castro W R
Published: January 2022

This research reports the findings derived from the identification of the difficulties exhibited by a group of 76 students from different grades of basic secondary education in a private educational institution with an emphasis on science education. The students were given a questionnaire presenting five situations based on the Position-Time graph associated with uniform rectilinear motion of particles. The research approach is of a quantitative nature at a descriptive level with a field design, since it was the students who filled in the instrument. It is highlighted as a finding in the opinion of the students that the subject has been seen in class, but due to the teacher’s methodology it is not fully understood by them. The results show that the students have a long list of difficulties mainly due to the lack of articulation of mathematical concepts in physical contexts, a situation that prevents them from analyzing the proposed statements, reasoning about the approaches, and improving in the process of searching for alternative solutions with clear arguments.
Grant support for the development of peasant farms: the experience of the Trans-Baikal Territory and key problems
Authors: Alekseev A M
Published: January 2022

The article considers the current state of small and medium-sized businesses in rural areas of the Trans-Baikal Territory. In the region, the largest share of agricultural products produced falls on the personal subsidiary farms, while there is a destruction of large-scale commodity production, evidenced by a decrease in the number of agricultural enterprises and organizations. Presently, the Government of the Trans-Baikal Territory is interested in transforming personal subsidiary farms into the status of peasant farms, since they are able to ensure more efficient functioning of small forms of farms. Special attention is paid to the state support of small farms in the region. In the course of the study, the problems of the effectiveness of the use of state support for small forms of management were identified. The priority direction of state support is grant subsidization of peasant farms, while the distribution of grants in the context of municipal districts of the region is uneven. In general, the mechanism of grant support for peasant farms is effective only for areas of the region where animal husbandry traditionally constitutes the basis of agriculture. There are also problems associated with excessive requirements for obtaining grants and insufficient consulting assistance from potential grantees.
Biodiversity of the Ingoda River ecosystem
Authors: Bazarova B B , Tashlykova N A , Yu Afonina E , Kuklin A P , Matafonov P V , Ts Tsybekmitova G
Published: January 2022

The results of a study of the biodiversity of hydrobionts in the Ingoda River are presented. In phytoplankton sixty six taxa of algae with a rank below the genus have been identified. The zooplankton contains 21 species. The species composition of the macrophytobenthos includes 5 taxa. In the flora of hydrophytes, 15 plant species have been identified. The zoobenthos contains 40 species. Our researches have been showed that widespread species prevail in the flora and fauna of hydrobionts in the Ingoda River. Two alien species (Elodea canadensis and Gmelinoides fasciatus) have been recorded in the Kenon Lake. A very rare East Siberian species of mayfly Acanthametropus nikolskyi has been recorded in the Ingoda River zoobenthos.
Acanthodiaptomus tibetanus (Daday, 1908) (Calanoida, Diaptomidae) – a biogeographic relict in the water bodies of Baikal Rift Zone
Authors: Krivenkova I F , Pen’kova O G , Makarkina N V , Sheveleva N G
Published: January 2022

A detailed morphological description of the copepodAcanthodiaptomus tibetanusand its geographic distribution on the territory of Irkutsk Region, Buryat Republic, Zabaikalsky Region and Republic of Sakha (Yakutia) within the limits of Baikal Rift Zone is presented for the first time. The authors provided information on the paleogeographic conditions of the territory these crustaceans inhabited and characterized their habitats in brief. An overview of the personal data and available literature on the geographic distribution ofA. tibetanusis given. One of the major results obtained under this study was elucidation of the distribution patterns ofA. tibetanus.In order to understand current distribution patterns of organisms,A. tibetanusin particular, in different basins, we carried out a historical analysis of the relief formation taking into account climatic aspects involved in these transformations.
Influence of meromixia on the distribution of zoobenthos and zooplankton in the salt soda lake Doroninskoe
Authors: Matafonov P V
Published: January 2022

Meromictic soda lakes are considered models of reservoirs of the Early Proterozoic. Lake Doroninskoe belongs to a rare type of moderately salty alkaline soda lake with a carbonate type of salinity and pronounced meromixia. Studies and publications on the zoobenthos of the lake are rare. In 2005–2007, studies of zoobenthos and zooplankton of the lake were carried out. Meromixia of the water column caused the stable presence of zooplankton only in a layer up to 4 m. The distribution of the taxonomic abundance, quantitative development and structure of zoobenthos in the lake corresponds to the stratification of the water column into mixolimnion, chemocline and monimolimnion. Bottom biotopes and water column layers deeper than 4 m were uninhabited, which is probably due to the lack of oxygen and high hydrogen sulphide content in the bottom water layers due to meromixia. A similar distribution of zooplankton in Lake Doroninskoe and its mesocosm model was revealed.