bluuebunny/crossref_metadata_2025 huggingface dataset:
Magnetohydrodynamic simulations of a megaampere-class Kr-doped deuterium dense plasma focus
Authors: Narkis J. , Hahn E. N. , Lowe D. R. , Housley D. , Conti F. , Beg F. N.
Published: February 2021

The addition of Kr dopant to a deuterium or deuterium–tritium dense plasma focus (DPF) is conventionally thought to enhance radiative cooling of the imploding sheath, resulting in a tighter pinch and, under optimized conditions, increased neutron yield [M. Krishnan, IEEE Trans. Plasma Sci. 40, 3189 (2012)]. In this work, 2D radiation magnetohydrodynamic (MHD) simulations are conducted of a DPF at peak current levels in the 2–3 MA range with Kr dopant concentrations of 0%, 0.1%, and 1.0% (by volume). Fully kinetic simulations are required to accurately model the pinch stagnation and accurately predict total neutron yield (thermonuclear + beam target), as MHD simulations cannot capture kinetic effects or beam-target neutron production. However, insights can be gained from following the evolution of the bulk dynamics of the sheath. The results show that sheath width narrows with increasing dopant concentration due to increased radiation. Thermonuclear neutron yields of ∼109−1010 are observed, which is in good agreement with experimental data [E. N. Hahn et al., J. Appl. Phys. 128, 143302 (2020)] and simulations [N. Bennett et al., Phys. Plasmas 24, 021702 (2017)] that measure yields of ∼1011 at ∼2 MA with ∼1% of that yield having thermonuclear origin. Scaling in excess of the conventional ∝I4 scaling is observed, though this should be confirmed with 3D and/or fully kinetic simulations of Kr-doped DPFs.
A comparison of bioinspired slippery and superhydrophobic surfaces: Micro-droplet impact
Authors: Yeganehdoust Firoozeh , Attarzadeh Reza , Dolatabadi Ali , Karimfazli Ida
Published: February 2021

Slippery lubricant impregnated surfaces (SLIPSs/LISs) exhibit remarkable features of repellency and droplet mobility to a broad range of complex fluids. Their performance in micro-droplet repellency has received less attention. In this study, the anti-wetting performance of SLIPSs in comparison to superhydrophobic surfaces (SHSs) is investigated for the micro-droplet impact on different textured surfaces. Different series of square-pillar arrays are modeled to consider the effect of surface morphology on droplet hydrodynamics. A multiphase numerical model in conjunction with an accurate contact angle method has been implemented to analyze details of three immiscible phases during the droplet impact on the SLIPS. Our findings revealed that on the SLIPS with a low-density micro-textured surface where the effect of lubricant is more significant, droplet repellency and mobility are improved compared to SHSs. It was illustrated that on the SLIPS, droplet pinning decreased significantly and in low Weber number cases where the effect of lubricant is more noticeable, partial bouncing occurred. It was also observed that slippery surfaces with a low-density of micro-pillars exhibit bouncing behavior, which indicated the repellency effect of lubricant in droplet hydrodynamics. Although micro-droplets failed to recoil at a higher Weber number (We≃160) on both the SHS and the SLIPS, droplet penetration within the micro-structured surface was considerably smaller on the SLIPS.
Ultrafast investigation and control of Dirac and Weyl semimetals
Authors: Weber Chris P.
Published: February 2021

Ultrafast experiments using sub-picosecond pulses of light are poised to play an important role in the study and use of topological materials and, particularly, of the three-dimensional Dirac and Weyl semimetals. Many of these materials’ characteristic properties—their linear band dispersion, Berry curvature, near-vanishing density of states at the Fermi energy, and sensitivity to crystalline and time-reversal symmetries—are closely related to their sub- and few-picosecond response to light. Ultrafast measurements offer the opportunity to explore excitonic instabilities and transient photocurrents, the latter depending on the Berry curvature and possibly quantized by fundamental constants. Optical pulses may, through Floquet effects, controllably and reversibly move, split, merge, or gap the materials’ Dirac and Weyl nodes; coherent phonons launched by an ultrafast pulse offer alternate mechanisms for similar control of the nodal structure. This Perspective will briefly summarize the state of research on the ultrafast properties of Dirac and Weyl semimetals, emphasizing important open questions. It will describe the challenges confronting each of these experimental opportunities and suggest what research is needed for ultrafast pulses to achieve their potential of controlling and illuminating the physics of Dirac and Weyl semimetals.
Tuning radiative lifetimes in semiconductor quantum dots
Authors: Bhattacharyya Biswajit , Mukherjee Arpita , Mahadevu Rekha , Pandey Anshu
Published: February 2021

Photonic devices stand to benefit from the development of chromophores with tunable, precisely controlled spontaneous emission lifetimes. Here, we demonstrate a method to continuously tune the radiative emission lifetimes of a class of chromophores by varying the density of electronic states involved in the emission process. In particular, we examined the peculiar composition-dependent electronic structure of copper doped CdZnSe quantum dots. It is shown that the nature and density of electronic states involved with the emission process is a function of copper inclusion level, providing a very direct handle for controlling the spontaneous lifetimes. The spontaneous emission lifetimes are estimated by examining the ratios of emission lifetimes to absolute quantum yields and also measured directly by ultrafast luminescence upconversion experiments. We find excellent agreement between these classes of experiments. This scheme enables us to tune spontaneous emission lifetimes by three orders of magnitude from ∼15 ns to over ∼7 µs, which is unprecedented in existing lumophores.
On the abrupt change of the maximum likelihood state in a simplified stochastic thermohaline circulation system
Authors: Yang Fang , Sun Xu , Duan Jinqiao
Published: February 2021

We study the probabilistic behavior of a simplified stochastic thermohaline circulation system during the transition between two given equilibrium states. Theoretically, there are an infinite number of possible pathways for the system to change from one state to another, and in many practical situations it is unclear how the state of the system exactly evolves. We propose to use the maximum likelihood state to estimate the true state of the system. It is shown that a jump occurs along the trajectory of the maximum likelihood state during the transitions between two given equilibrium states.
Artificial neural networks for the kinetic energy functional of non-interacting fermions
Authors: Ghasemi S. Alireza , Kühne Thomas D.
Published: February 2021

A novel approach to find the fermionic non-interacting kinetic energy functional with chemical accuracy using machine learning techniques is presented. To that extent, we apply machine learning to an intermediate quantity rather than targeting the kinetic energy directly. We demonstrate the performance of the method for three model systems containing three and four electrons. The resulting kinetic energy functional remarkably accurately reproduces self-consistently the ground state electron density and total energy of reference Kohn–Sham calculations with an error of less than 5 mHa. This development opens a new avenue to advance orbital-free density functional theory by means of machine learning.
Shear viscosity prediction of alcohols, hydrocarbons, halogenated, carbonyl, nitrogen-containing, and sulfur compounds using the variable force fields
Authors: Zhu Qiang , Gu Yuming , Hu Limu , Gaudin Théophile , Fan Mengting , Ma Jing
Published: February 2021

Viscosity of organic liquids is an important physical property in applications of printing, pharmaceuticals, oil extracting, engineering, and chemical processes. Experimental measurement is a direct but time-consuming process. Accurately predicting the viscosity with a broad range of chemical diversity is still a great challenge. In this work, a protocol named Variable Force Field (VaFF) was implemented to efficiently vary the force field parameters, especially λvdW, for the van der Waals term for the shear viscosity prediction of 75 organic liquid molecules with viscosity ranging from −9 to 0 in their nature logarithm and containing diverse chemical functional groups, such as alcoholic hydroxyl, carbonyl, and halogenated groups. Feature learning was applied for the viscosity prediction, and the selected features indicated that the hydrogen bonding interactions and the number of atoms and rings play important roles in the property of viscosity. The shear viscosity prediction of alcohols is very difficult owing to the existence of relative strong intermolecular hydrogen bonding interaction as reflected by density functional theory binding energies. From radial and spatial distribution functions of methanol, we found that the van der Waals related parameters λvdW are more crucial to the viscosity prediction than the rotation related parameters, λtor. With the variable λvdW-based all-atom optimized potentials for liquid simulations force field, a great improvement was observed in the viscosity prediction for alcohols. The simplicity and uniformity of VaFF make it an efficient tool for the prediction of viscosity and other related properties in the rational design of materials with the specific properties.
Effect of pseudospin polarization on wave packet dynamics in graphene antidot lattices (GALs) in the presence of a normal magnetic field
Authors: Ayyubi R. A. W. , Horing N. J. M. , Sabeeh K.
Published: February 2021

We have investigated the role of pseudospin polarization in electron wave packet dynamics in pristine graphene and in a graphene antidot lattice subject to an external magnetic field. By employing Green’s function formalism, we show that the electron dynamics can be controlled by tuning pseudospin polarization. We find that in Landau quantized pristine graphene, both the propagation of an electron wave packet and Zitterbewegung oscillations strongly depend on pseudospin polarization. The electron wave packet is found to propagate in the direction of initial pseudospin polarization. We also show that, in this system, the propagation of an electron can be enhanced in any desired direction by carving a one-dimensional antidot lattice in that direction. The study suggests that a graphene antidot lattice can serve as a channel for electron transport with the possibility of tunability by means of pseudospin polarization, antidot potential, and applied normal magnetic field strength.
Adsorption kinetics and thermodynamic properties of a binary mixture of hard-core particles on a square lattice
Authors: Darjani Shaghayegh , Koplik Joel , Pauchard Vincent , Banerjee Sanjoy
Published: February 2021

The adsorption kinetics and thermodynamic properties of a binary mixture on a square lattice are studied using the random sequential adsorption with surface diffusion (RSAD). We compare the adsorption of binary species with different equilibrium rate constants and effective rates of adsorption to a surface and find that the temporal evolution of surface coverages of both species can be obtained through the use of the blocking function of a system with irreversible adsorption of highly diffusive particles. Binary mixtures, when one of the components follows the random sequential adsorption (RSA) without surface diffusion and the other follows the RSAD model, display competitive adsorption in addition to cooperative phenomena. Specifically, (i) species replacement occurs over a long period of time, while the total coverage remains unchanged after a short time, (ii) the presence of the RSAD component shifts the jamming coverage to the higher values, and (iii) the maximum jamming coverage is obtained when the effective adsorption of the RSA type components is lower than the other adsorbing particles.
A multi-channel x-ray temporal diagnostic for measurement of time-resolved electron temperature in cryogenic deuterium–tritium implosions at OMEGA
Authors: Kabadi N. , Sorce A. , Stoeckl C. , Sio H. W. , Adrian P. , Bedzyk M. , Frenje J. , Katz J. , Knauer J. , Pearcy J. , Weiner D. , Aguirre B. A. , Betti R. , Birkel A. , Cao D. , Gatu Johnson M. , Patel D. , Petrasso R. D. , Regan S. P.
Published: February 2021

Electron-temperature (Te) measurements in implosions provide valuable diagnostic information, as Te is unaffected by residual flows and other non-thermal effects unlike ion temperature inferred from a fusion product spectrum. In OMEGA cryogenic implosions, measurement of Te(t) can be used to investigate effects related to time-resolved hot-spot energy balance. The proposed diagnostic utilizes five fast-rise (∼15 ps) scintillator channels with distinct x-ray filtering. Titanium and stepped aluminum filtering were chosen to maximize detector sensitivity in the 10 keV–20 keV range, as it has been shown that these x rays have similar density and temperature weighting to the emitted deuterium–tritium fusion neutrons. Initial data collected using a prototype nosecone on the existing neutron temporal diagnostic demonstrate the validity of this diagnostic technique. The proposed system will be capable of measuring spatially integrated Te(t) with 20 ps time resolution and <10% uncertainty at peak emission in cryogenic DT implosions.
Double-exposure method for speckle-tracking x-ray phase-contrast microtomography
Authors: Yu Fucheng , Li Ke , Wang Feixiang , Zhang Haipeng , Ju Xiaolu , Xu Mingwei , Du Guohao , Deng Biao , Xie Honglan , Xiao Tiqiao
Published: February 2021

X-ray phase-contrast microtomography based on speckle tracking is an attractive method for non-destructive three-dimensional imaging owing to its simple setup and ability to yield absorption, refractive, and scattering images simultaneously. However, the edge-enhancement effect usually results in image artifacts or inaccurate phase retrieval, limiting the extensive application of this method in biomedical research and for low-Z materials. In this paper, a double-exposure method is introduced to solve this problem efficiently and accurately. Pure phase samples with various microstructures and densities and a biological sample with a distinct edge-enhancement effect were used to verify the effectiveness of the developed method. In an experiment performed using a polymer phantom with an evenly distributed density, 17 irregularly shaped particles with diameters ranging from 15 to 25 μm were successfully reconstructed with the effective elimination of the edge-enhancement effect. The results obtained for a sample composed of different polymer materials demonstrated that, in contrast with the traditional speckle-tracking method, the present method is able to discriminate materials with similar x-ray attenuations. Finally, experiments were performed using a dehydrated fish, which entail typical edge enhancement and a complex microstructure; notably, it was verified that the fine structure of the fish, including its fins and intestines, was reconstructed completely using the proposed method, whereas the standard speckle-tracking method was ineffective. In conclusion, the developed double-exposure method can serve as an efficient and accurate technique for the x-ray phase-contrast microtomography of samples comprising low-Z materials and complicated microstructures.
Bepridil is potent against SARS-CoV-2 in vitro
Authors: Vatansever Erol C. , Yang Kai S. , Drelich Aleksandra K. , Kratch Kaci C. , Cho Chia-Chuan , Kempaiah Kempaiah Rayavara , Hsu Jason C. , Mellott Drake M. , Xu Shiqing , Tseng Chien-Te K. , Liu Wenshe Ray
Published: February 2021

Significance

Guided by a computational docking analysis, we experimentally characterized about 30 FDA/EMA-approved drugs on their inhibition of essential main protease of SARS-CoV-2, the pathogen of COVID-19. From this study, we discovered that bepridil, an antianginal medication, is potent against SARS-CoV-2. The antiviral analysis of bepridil indicated that it had low micromolar EC
50
values in inhibiting SARS-CoV-2 in two highly permissive mammalian cell lines. Due to the urgent matter of COVID-19, our current study encourages further preclinical investigations of bepridil in animal models to clear its path for clinical uses in COVID-19 patients.
A specific basal body linker protein provides the connection function for basal body inheritance in trypanosomes
Authors: Lai De-Hua , Moreira-Leite Flavia , Xu Zhi-Shen , Yang Jiong , Gull Keith
Published: February 2021

Significance

Centriole/basal body (BB) connections involve two concepts: a tether and a linker. Studies have revealed essential components of the tether, while linker components remain largely unknown. Here, we describe BBLP, a trypanosome protein that is a cytoskeletal component of the linker, localizing between the BB and pro-BB throughout the cell cycle. Importantly, RNA interference (RNAi) depletion of BBLP results in a splitting of the BB–pro-BB pair subtending only the new flagellum, and perturbs mitochondrial DNA inheritance. Our data identify BBLP as the first specific protein component of the BB/centriole linker in eukaryotic cells. We provide a unifying model revealing how aspects of centriole/BB ontogeny and lineage can operate at different points of the cell cycle in evolutionarily diverse cells.
A circulating, disease-specific, mechanism-linked biomarker for ATTR polyneuropathy diagnosis and response to therapy prediction
Authors: Jiang Xin , Labaudinière Richard , Buxbaum Joel N. , Monteiro Cecília , Novais Marta , Coelho Teresa , Kelly Jeffery W.
Published: February 2021

Significance

Treating the transthyretin (TTR) amyloidoses early maximizes clinical response. Soluble nonnative protein oligomers are cytotoxic in cultured cell lines, in primary cells, and in animal models. Here we report an immunoassay for quantifying nonnative, oligomeric TTR (NNTTR) levels in human V30M TTR polyneuropathy plasma (
n
= 81). High NNTTR pretreatment levels are significant for predicting which patients are less likely to respond to tafamidis (
P
= 0.0025). The extent of NNTTR decrease does not differ between the tafamidis responders and nonresponders, suggesting that very high pretreatment NNTTR levels could reflect pathogenic processes that might not be ameliorated by solely reducing the amount of amyloidogenic substrate. Liver transplantation, as well as tafamidis and patisiran treatment, all lower NNTTR levels substantially.
Astrocytes lure CXCR2-expressing CD4
+
T cells to gray matter via TAK1-mediated chemokine production in a mouse model of multiple sclerosis
Authors: Khaw Yee Ming , Tierney Abbey , Cunningham Claire , Soto-Díaz Katiria , Kang Eunjoo , Steelman Andrew J. , Inoue Makoto
Published: February 2021

Significance

Multiple sclerosis (MS) is a chronic neurological disease characterized by demyelination and neuronal damage. While T cells are consistently detected in the gray matter of human MS samples, they are rarely seen in the gray matter of the most common mouse model of MS. Here, we show a modified mouse model that is characterized by a high degree of neuronal damage, T cell infiltration, and reactive gliosis in spinal cord gray matter. Using conditional knockout mice, we show that T cell migration to spinal cord gray matter depends on T cell expression of CXCR2 and astrocyte expression of TAK1-mediated chemokines such as CXCL1.
The zebrafishgrimemutant uncovers an evolutionarily conserved role for Tmem161b in the control of cardiac rhythm
Authors: Koopman Charlotte D. , De Angelis Jessica , Iyer Swati P. , Verkerk Arie O. , Da Silva Jason , Berecki Geza , Jeanes Angela , Baillie Gregory J. , Paterson Scott , Uribe Veronica , Ehrlich Ophelia V. , Robinson Samuel D. , Garric Laurence , Petrou Steven , Simons Cas , Vetter Irina , Hogan Benjamin M. , de Boer Teun P. , Bakkers Jeroen , Smith Kelly A.
Published: February 2021

Significance

The heart initiates rhythmic contractions early during development. A unique zebrafish mutant with specific cardiac arrhythmia phenotypes was identified and mutation of the uncharacterizedtmem161bgene shown to be causative. Tmem161b knockout mice are perinatal lethal and isolated embryonic cardiomyocytes exhibit arrhythmic Ca2+oscillations, suggesting functional conservation. Protein localization studies show Tmem161b is expressed in excitable cells and at cardiomyocyte plasma membranes. Imaging of in vivo action potentials showstmem161bmutants have prolonged action potential repolarization. Patch-clamping of isolated cardiomyocytes confirms prolonged action potential repolarization and shows increased Ca2+and K+currents are likely the cause of altered action potential morphology. This suggests Tmem161b is a new conserved regulator of cardiac rhythm by inhibiting Ca2+and K+currents.
Pathogen disgust sensitivity protects against infection in a high pathogen environment
Authors: Cepon-Robins Tara J. , Blackwell Aaron D. , Gildner Theresa E. , Liebert Melissa A. , Urlacher Samuel S. , Madimenos Felicia C. , Eick Geeta N. , Snodgrass J. Josh , Sugiyama Lawrence S.
Published: February 2021

Significance

Disgust likely evolved to regulate exposure to pathogen-related stimuli and behaviors. One key prediction, that individuals with greater pathogen disgust sensitivity (PDS) will be exposed to fewer pathogens and thus suffer fewer infections, has never been tested directly. To function adaptively, PDS must respond to the local cost/benefit context of avoidance, but this too has been undertested. We provide a test of these predictions among an Indigenous population with notable variation in PDS, infection, and infrastructure. We document predicted negative associations between PDS and pathogen exposure, while illuminating complex, multidirectional relationships among disgust, infection, and environmental variation. Our findings support the hypothesis that disgust functions to regulate pathogen exposure, demonstrating the importance of evolved psychological mechanisms in disease avoidance.
SOX9 keeps growth plates and articular cartilage healthy by inhibiting chondrocyte dedifferentiation/osteoblastic redifferentiation
Authors: Haseeb Abdul , Kc Ranjan , Angelozzi Marco , de Charleroy Charles , Rux Danielle , Tower Robert J. , Yao Lutian , Pellegrino da Silva Renata , Pacifici Maurizio , Qin Ling , Lefebvre Véronique
Published: February 2021

Significance

Cartilage is essential in vertebrate development and adulthood. Cartilage growth plates ensure skeletal growth until closing at puberty, and articular cartilage ensures lifelong structural and functional integrity of joints. Chondrocytes build cartilage in development, governed by the transcription factor SOX9. Using mouse models and transcriptome profiling approaches, we show here that SOX9 also has key roles to maintain growth plates open postnatally and to protect adult articular cartilage from osteoarthritic degradation. In particular, SOX9 safeguards the lineage fate of chondrocytes by preventing their dedifferentiation into skeletogenic mesenchymal progenitors followed by redifferentiation into osteoblasts. These findings provide insights into cellular plasticity and its molecular control in developmental, physiological, and pathological processes within and beyond the skeletal system.
Double inhibition and activation mechanisms of Ephexin family RhoGEFs
Authors: Zhang Meng , Lin Lin , Wang Chao , Zhu Jinwei
Published: February 2021

Significance

Ephexin family guanine nucleotide exchange factors (GEFs) act downstream of Eph signaling to regulate cytoskeletal dynamics, playing critical roles in diverse cellular processes. To achieve precise regulation of Eph signaling, the GEF activities of Ephexins need to be tightly controlled. We here present the crystal structures of autoinhibited Ephexin4, which reveal that both N- and C-terminal fragments directly contact with and inhibit the DH catalytic domain of Ephexin4. This double inhibition mechanism may be commonly utilized by other Ephexins and SGEF. Phosphorylation of a conserved tyrosine at its N terminus and association of PDZ protein(s) to its C-terminal PDZ-binding motif may relieve the autoinhibited Ephexin4. These results reveal versatile autoinhibitory mechanisms that fine-tune the GEF activities of Ephexin family RhoGEFs.
Assessment of the hydrogen interaction on the mechanical integrity of a welded martensitic steel
Authors: Vander Vennet Simon , De Seranno Tim , Depover Tom , Verbeken Kim
Published: February 2021

This work evaluates the effect of hydrogen on the mechanical integrity of a weld in a martensitic base metal. Different regions in the heat-affected zone (HAZ) are reproduced to investigate the interaction of the local microstructure with hydrogen. The hardness strongly depends on the distance from the welding joint due to the different phases present. The HAZ contains zones of acicular ferrite, coarse martensite and tempered martensite. Additionally, the entire weld is subjected to a constant load while being simultaneously electrochemically charged with hydrogen. During this test, a crack initiates in the filler, showing the highest hydrogen solubility as demonstrated by thermal desorption spectroscopy, while propagation occurs along the microstructure of the HAZ with the highest hardness level.
Effect of surface roughness on the fatigue failure and evaluation of TC17 titanium alloy
Authors: Jinlong Wang , Wenjie Peng , Jing Yu , Jingsi Wang , Mingchao Ding , Yuanliang Zhang
Published: February 2021

This paper is focused on the investigation of fatigue failure mechanism for TC17 with surface roughness, which is the quantitative expression of surface micro-scratch. First, the designed fatigue tests for TC17 with different surface conditions are carried out to investigate the mechanism of fatigue failure behavior for TC17 with surface roughness. A modified formula is developed to evaluate the fatigue limit of TC17. Then, with the comprehensive application of S–N curve models and test results, the new finding of model parameters is adopted, leading to a fatigue life model of TC17 with surface roughness. Study of fatigue evaluation model of TC17 with surface roughness is significant in theoretical and engineering fatigue study.

GRAPHICAL ABSTRACT
A cheap and accurate technique of measuring the rolling time of cylinders
Authors: Panagiotides N
Published: February 2021

Measuring time of motion using photogates is a good solution when the moving object has plane surfaces or when you can put upon it a plane surface object, which acts as a beam stopper. There are however situations where other devices, and in particular micro-switches, although they are much cheaper than photogates, perform at least as well as photogates. In this frontline, I describe how we can construct an inclined plane equipped with micro-switches and how we can use it in experiments involving rolling cylinders.
Exploration And Analysis of The Integration of Civil Engineering Technology and Computer Under New Technical Conditions
Authors: Zhang Aiguo
Published: February 2021

Due to the objective existence of natural disasters such as typhoon, earthquake, fire and flood, the performance of engineering structure needs to face such small probability and large load. It is a very difficult and unrealistic method to conduct experiments to verify. First, it is impossible to fully simulate the parameter variation bar; second, the cost of physical test is too high; third, it is dangerous to destroy the experiment and the equipment is difficult to keep up with it. The computer simulation technology can simulate the whole process from deformation to collapse of civil engineering structures of prototype size under the action of disaster load on the computer, so as to reveal the links and factors of unsafe structure, thus greatly improving the reliability of civil engineering.
Research on Innovative Application of Artistic Characteristics of Building Decoration Materials in Interior Design Based on Big Data
Authors: Cao Chunna
Published: February 2021

In the 21st century, people have entered the era of big data. People’s life is inseparable from the comparison of big data mining technology, including Building Decoration Materials (hereinafter referred to as BDM). Through big data technology, we can select more suitable BDM, which can improve people’s artistic expression level. The artistic characteristics of decorative materials can show a certain artistic beauty, which fully shows people’s artistic wisdom and level. However, with the continuous improvement of appreciation level, the traditional method of strengthening the indoor aesthetic feeling only by the artistic characteristics of decorative materials has failed to meet the requirements of people. Therefore, it is necessary to fully combine the visual experience of decorative materials to improve the artistic characteristics. This paper analyzes the decorative materials in color, texture, texture, specifications and other aspects of visual performance, which can better enhance the artistic characteristics of Interior design (hereinafter referred to as ID). Finally, this paper puts forward some practical cases.
Research on the Design of Intelligent Energy Efficiency Management System for Ships Based on Computer Big Data Platform
Authors: Li Fangxuan , Gao Wenxue
Published: February 2021

In the process of protecting ecological environment, constructing ecological civilization and constructing harmonious environment between man and nature, energy efficiency management is our only way. In this paper, the design of ship intelligent energy efficiency management system using computer big data is introduced from three main components, and the functions of the main system are given.
Research on Global Path Planning of Artificial Intelligence Robot Based on Improved Ant Colony Algorithm
Authors: Zhao Hairu , Zhou Hui , Yang Guiqin
Published: February 2021

With the rapid development of science and technology and the improvement of people’s living standards and enjoyment consciousness, robots have come into people’s field of vision more and more. People’s use of robots in production and life has greatly increased. As an important function of the normal use of the robot and evaluating the quality level of the robot, the careful design and optimization of the path planning is the most important. This study discusses the basic situation of robot global path planning, the application, advantages and improvement measures of ant colony algorithm in robot path planning, which provides help for the further development and popularization of robot.
Study on the Application of LSTM in Meteorological Element Prediction based on Computer Software
Authors: Wang Han , Li Ling
Published: February 2021

The 21st century is the era of big data. With the rapid development of computer technology, we can store more meteorological data, which increases the meteorological data. As people put forward higher requirements for meteorological information, we need to collect and forecast abundant meteorological laws. With the rapid development of computer technology, deep learning has opened a new era of artificial intelligence. Deep learning technology has brought opportunities to the development of meteorological forecasting technology, which has played an important role in basic weather forecast, economic activities and disaster prevention in China. First of all, this paper analyzes the important role of meteorological elements prediction. Then, this paper analyzes the deep learning LSTM algorithm. Finally, this paper makes an empirical analysis.
Research on the Intelligent Building Electrical Monitoring System Based on Computer Web
Authors: Dong Juan
Published: February 2021

With the development of computer information technology, the traditional building electrical monitoring system has been unable to meet the needs of users. However, the automation degree of the electrical equipment in the current intelligent building is also low. Especially for the electrical monitoring system, there is no convenient and real-time management and service architecture, so there is still a large room for improvement. Based on this, this paper first analyses the intelligent building electrical monitoring system based on Web, then studies the related technology of intelligent building web monitoring system development, and finally gives the implementation strategy of intelligent building electrical monitoring system based on computer web.
Research and Discussion on Specialty Construction of Experimental Technology for New Energy Vehicles
Authors: Liu Lesheng
Published: February 2021

The reform of the mechanism and performance of the internal combustion engine in the traditional automobile industry has always been the main goal in the environmental protection strategy. In recent years, people have proposed experimental technologies for new energy vehicles[1]. Facts have proved that new energy vehicles have great advantages in energy consumption and environmental pollution prevention. Because of this factor, the space for new energy vehicles to play in the automotive industry is constantly growing. Some emerging automobile-related companies are also working hard to find research and development methods for new energy vehicles. This phenomenon has also led to a sharp increase in the demand for talents after the launch of new energy vehicles. Therefore, the current obsolete automobile research and development profession must undergo transformational development to be able to adapt to the needs of society. The construction of the new energy vehicle test technology specialty is imminent.
Research on New Methods and Technologies of Engineering and Environmental Geophysical Exploration Based on Internet of Things
Authors: Ma Ming
Published: February 2021

After years of development, geophysical exploration in macro programming environment through the Internet of things has become a basic international model and has been widely valued and studied. Because of its special advantages in practice, the research of new geophysical methods and technologies has been introduced into the education of computer, law, economics, engineering and other disciplines. With the development of network technology, geophysical exploration of engineering and environment has been combined with network technology, forming problem-oriented research in network environment. In the continuous exploration, there is a stable inertia and activity process between the various elements, which can effectively find problems and solve problems. Therefore, through the Internet of things, this effective bridge combines engineering and environment with “new geophysical methods and technologies” to explore and develop new fields[1].
Research on Comprehensive Prevention and Control Technology of Overlying Goaf Water under Complex Conditions Based on Computer
Authors: Qu Nianhua , Wang Haitao , Song Xin , Cheng Tong , Wang Yajun
Published: February 2021

With the gradual depletion of the upper resources of some coal mines with a long mining life, the operations of these coal mines gradually want to transfer to the lower coal seam. However, the mining activities of the upper coal seam have produced a large number of goafs, and due to human and natural factors, there are serious water problems in the goaf, and there is a big security risk. Based on this, this paper first studies the computer-based coal mining and overlying goaf exploration technology, and then gives the comprehensive prevention and control strategy of overlying goaf water under complex conditions based on computer.
Design Analysis of Natural Lighting and Ventilation of Underground Garage with the Computer-aided Technology
Authors: Yu Qingli
Published: February 2021

In the analysis of the lighting and ventilation design mode of the underground garage, it is necessary to take the natural green environmental protection standard design as the main thought and pay attention to the influence of lighting on the car. According to the data simulation method and the overall design scheme standard, the specific range of numerical simulation standard is determined. Through the analysis of airflow change, distribution mode, air volume, carbon dioxide, carbon monoxide concentration ratio level of underground garage, we can determine the actual ventilation design standards of underground garage and value more on the implementation of natural lighting and ventilation design scheme under green building mode. This paper analyzes the practical natural lighting application design method of green building underground garage with the computer-aided technology, combines the development of green building and building energy saving, lays emphasis on the ventilation and sewage effect of underground garage, strengthens the reasonable allocation and application of the overall lighting and ventilation of underground garage and finally clarifies the operation standard and design effect.
Research on Electrical Testing System of New Energy Vehicle Based on Computer
Authors: Zheng Tuo
Published: February 2021

According to the design structure and working characteristics of the whole vehicle electrical system of new energy vehicle, combined with the deep application of computer in PLC programming and sensor, this paper studies the detection target, detection principle, detection method and some instruments of electrical insulation performance and electrical working performance, in order to provide some reference for the development and progress of new energy vehicle electrical system.
Microgrid Computer Distributed Voltage Control Strategy for Multi-inverters
Authors: Fei Wang
Published: February 2021

We always emphasize the shortage of some domestic resources. In our cognitive field, it seems that electricity is an inexhaustible energy. In fact, power resources are also renewable resources produced with the assistance of the power system. The micro-grid we often say is a protective measure with auxiliary functions that can solve the problem of electronic failure[1]. In addition, for the distribution of distributed energy, microgrid technology can also help it to connect in a wide range. However, looking at some of the system structures, we will find that the main and most difficult problem is that it is difficult to mobilize the integrated control of the power generated by multiple distributed inverters through the computer. From this point of view, the research on the distributed voltage control of the microgrid computer oriented to multiple or multiple inverters is imminent.
Design and Research of the Automatic Hydraulic Testing and Testing Device for Gas Cylinder
Authors: Huang Wei , Zhou Zhou
Published: February 2021

Gas cylinder is a typical storage and transportation equipment, which plays an important role in the national economy. Cylinder hydrostatic test is the core project in cylinder quality inspection, which mainly refers to GB/T 9251-2011 cylinder hydrostatic test method and CGA C-1-2009 methods for pressure testing compressed gas cylinders. These two standards are hydrostatic test by external measurement, which is mainly used to check whether the overpressure bearing capacity of gas cylinder meets the requirements. Hydrostatic test is an essential part of gas cylinder production. Therefore, we must produce a good hydrostatic test device, which will directly affect the reliability, production efficiency and testing efficiency of the gas cylinder quality test results. Firstly, this paper analyzes the detection method of gas cylinder. Then, this paper designs the flow chart of gas cylinder hydraulic testing. At last, this paper designs the testing device of cylinder water pressure detection.
Research on Fire Alarm Monitoring System Based on Computer
Authors: Bai Xutao , Lu Hairong
Published: February 2021

With the rapid development of urbanization, the number of buildings is increasing rapidly, and the density of buildings increases the difficulty of fire protection. Therefore, more and more fires occur in the city, which is not conducive to the improvement of people’s daily safety and quality of life. In order to ensure the quality of urban construction, the construction of fire alarm monitoring system is particularly important. In the new era of social development, we will comprehensively improve the traditional and single monitoring and alarm functions, integrate the functions of monitoring, linkage, alarm, regulation and prevention, and establish a comprehensive and intelligent fire alarm and monitoring system. With the rapid development of network technology, the realization of fire alarm monitoring system is inseparable from the support of network system. On this basis, we should strengthen the research on alarm monitoring system, realize the good integration of network technology and fire alarm monitoring system, constantly improve it, and play its maximum role to improve the quality of fire protection work, so as to contribute to the modernization of the city.
Research on the application of computer information management system in project cost prediction
Authors: Chen Yanhua , Yu Zhihua , Liu Jinchao
Published: February 2021

“project cost” refers to how to build or change an engineering structure, so that it can more effectively achieve the established objectives of the project, the project cost is often referred to in the project to make the relevant project should have what kind of structure selection. With the advent of the information age, the engineering structure of a project has an increasingly important impact on its management effectiveness. In this paper, a management guru mintzberg’s theory as the breakthrough point, analyzes the engineering cost in computer information management the important role of engineering cost, and how to effectively achieve the project cost and the environment of good match, good configuration of engineering parameters, to meet the needs of the engineering of computer information management effectiveness.
Probe Development of Borehole Resistivity Measurement in Coal Mine
Authors: Ma Bin
Published: February 2021

In order to better serve the disaster prevention and control work, a method of measuring the borehole resistivity is proposed in the fine geological exploration and coal mining. It measures the resistivity variation curve on the borehole profile, so as to divide the coal field strata and identify the geological anomaly areas. Firstly, we have designed a device which can generate a frequency of 0-1 MHz, based on the measurement model of a symmetrical four stage device. Then the automatic range conversion module is designed, including full differential amplifier circuit and high-speed AD circuit signal acquisition unit. Finally, the device coefficient K of the probe tube is calibrated by linear regression analysis. The performance test results show that the measurement error of resistivity probe tube is 0.2%, which can meet the needs of fine detection in coal mine borehole.
A Wind and Solar Power Generation Data Collection System for Public Buildings
Authors: Zhao Yang
Published: February 2021

In view of the high power current source inverter (CSI) switching frequency is limited and system load parameter is variable, system output performance is affected. An interconnection and damping assignment of passivity-based control (IDA-PBC) for three-phase CSI is proposed. The lumped-parameter model of three-phase CSI with independent storage unit is established, and its port-controlled Hamilton (PCH) model in Park coordinate is proposed. The control rate of the closed-loop system is obtained by solving the parametric partial differential equation based on interconnection and damping assignment. The controller is designed, and the system stability is analysed by Lyapunov function. The Simulation and experiment results show that the inverter can output a good sinusoidal voltage, which has strong anti-interference ability to the load disturbance. The stability and robustness of the system are also improved.
Intelligent Video and Image Cloud Operation Monitoring Center
Authors: Song Xue
Published: February 2021

Based on the PaaS layer in cloud computing, this paper designs and implements an intensive and intelligent video surveillance center. PaaS is based on the public security network and video private network, and provides users with a variety of video operation monitoring services in the form of web. The monitoring center will be able to integrate existing, discrete infrastructure resources to provide core algorithm components, monitoring operators, databases, middleware services, technical services and business services for public security video operation and management applications in a platform manner. Upper-level applications and core users can easily interact with the video operation monitoring module through this platform.
Analysis of the Influence of Big Data Background on the Spread of Large-Scale Sports Events
Authors: Xia Tieniu
Published: February 2021

With the advent of the era of shallow reading and the popularity of smart phones, people are becoming more and more interested in schema reading, and data visualization has gradually become an ideal way to present news. While the scope of influence and attention of large-scale sports events are continuously expanding and improving, the application of data visualization in the communication of large-scale sports events is also increasing, and the visual communication method with strong data news appreciation is gradually being recognized by the audience. Then, does the development status of China’s large-scale sports events meet the needs of the country and the people? What kind of scale and system of large-scale sports events does China need? This paper applies the questionnaire survey method to analyze the impact on the spread of large-scale sports events under the background of big data. It is concluded that although China’s GDP in 2019 has reached the third level in the world, other indicators lag behind other countries, especially the GDP per capita and the GDP of the sports industry are only 0.7%. This shows that the scale of China’s sports industry is still small.
RETRACTED: Teaching Reform of English Reading Ability Based on Big Data
Authors: Li Hongbin
Published: February 2021

With the development of the information age, the channels through which students obtain knowledge and information through reading are constantly changing. Among the four basic skills of listening, speaking, reading and writing, college English reading ability is an important part of them. This article aims to study the reform ability of English reading data based on big data. This article explains the teaching reform strategy in the context of big data, and highlights the practicality of the reform of English reading teaching. In addition, this article constructs a college English reading teaching model based on big data to improve students’ reading level. The results of the teaching experiment in this paper show that the reform of college English reading teaching based on big data helps students fully master reading cognitive strategies, cultivate their awareness of cognitive strategies, and improve their English reading level by 15%.