bluuebunny/crossref_metadata_2025 huggingface dataset:
Dyspnoe und Komorbidität beim Lungenkarzinom: Warum die Anamnese so wichtig ist
Authors: Grünewaldt A. , Stützle S. , Lehn A. , Rohde G.
Published: February 2021

Ziel Dyspnoe ist ein häufiges und schwer beeinträchtigendes Krankheitssymptom bei Patienten mit fortgeschrittenem Lungenkarzinom. Exogene wie endogene Faktoren tragen zum subjektiven Symptom Luftnot bei. Um eine effektive Therapie einleiten zu können, ist die Kenntnis von beeinflussbaren Faktoren essenziell. Mit dem Ziel, die Atemnot gezielter behandeln zu können, wurde in dieser Arbeit die Auswirkung von Begleitfaktoren und Komorbiditäten auf den Schweregrad von Luftnot bei Patienten mit Lungenkarzinom untersucht.

Methode Im Rahmen einer prospektiven, monozentrischen Beobachtungsstudie wurde der Schweregrad der Atemnot bei Patienten mit fortgeschrittenem Lungenkarzinom anhand des mMRC-Scores abgefragt und standardisiert nach kardialer oder pulmonaler Komorbidität befragt. Zudem wurden Schmerzsymptomatik und psychische Belastung der Patienten durch die Tumorerkrankung anhand numerischer Ratingskalen (NRS) abgefragt.

Ergebnisse 25 (48,1 %) von 52 eingeschlossenen Lungenkarzinompatienten gaben mäßige bis starke Dyspnoe an. Vorbekannte COPD, kardiopulmonale Begleiterkrankungen, starke Schmerzen, eine obstruktive Ventilationsstörung in der Lungenfunktion sowie nachweisbare Pleuraergüsse korrelierten in der logistischen Regressionsanalyse mit dem Auftreten von Dyspnoeschweregraden ≥  3 in der mMRC-Skala. In dieser Untersuchung war auch das niedrigere UICC-Stadium III bzw. eine M0-Situation mit einer höheren Wahrscheinlichkeit einer schweren Dyspnoe korreliert als ein höheres Stadium IV nach UICC.

Schlussfolgerung Unsere Untersuchung bestätigt die klinische Relevanz von Dyspnoe bei Lungenkarzinompatienten. Die Wahrscheinlichkeit für das Auftreten dyspnoeischer Beschwerden wird durch Begleitsymptome wie starke Schmerzen und insbesondere durch das Vorhandensein von kardialen oder pulmonalen Komorbiditäten wesentlich beeinflusst. Eine effektive Behandlung von Luftnot sollte daher diese begleitenden Faktoren in der Therapie berücksichtigen.
Veranstaltungsankündigung
Authors: Bundschu Marion
Published: February 2021

Der Schulungsort ist das Hotel Seligweiler (Seligweiler 1, 89081 Ulm-Seligweiler). Informationen zu den Veranstaltungen finden Sie auf
www.wbs-ulm.de

.
Stellungnahme der Deutschen Gesellschaft für Pneumologie und Beatmungsmedizin zum Tragen von FFP- und chirurgischen Masken für die Bevölkerung
Authors: Dellweg D. , Lepper P. M. , Nowak D. , Köhnlein T. , Olgemöller U. , Pfeifer M.
Published: February 2021

Am 19. 1. 2021 wurde in einer Initiative von Bund und Ländern eine neue Verordnung zur Maskenpflicht erlassen. Diese Verordnung verpflichtet die Bürger und Bürgerinnen zum Tragen von medizinischen Masken in öffentlichen Verkehrsmitteln sowie in Geschäften. Die Deutsche Gesellschaft für Pneumologie und Beatmungsmedizin (DGP) beschreibt in ihrer Stellungnahme hierzu die technischen Hintergründe der verschiedenen medizinischen Masken und erläutert deren Funktionalität anhand der zugehörigen Normen. Die DGP kommt zum Schluss, dass FFP-Masken der Norm EN 149 für den Selbstschutz des Trägers konzipiert wurden und diesen auch sicherstellen, wenn die Maske ordnungsgemäß getragen wird und dicht am Gesicht abschließt. Eine fehlerhafte Anwendung muss unbedingt vermieden werden. Chirurgische Masken der Norm EN 14683 wurden zum Fremdschutz vor Bakterien-tragenden Aerosolen konzipiert und haben bedingt durch ihre Bauart eine eher geringe Selbstschutzkomponente. Community-Masken unterliegen bisher keine offiziellen Norm. Community-Masken mit elektrostatischen Eigenschaften und hoher Filtrationsleistung könnten zukünftig eine wiederverwendbare Alternative darstellen. Patienten mit Herz und/oder Lungenerkrankungen benötigen je nach Schwere ihrer Erkrankung eine Belastungsuntersuchung mit Maske, um medizinische Risiken zu minimieren.
Structural and magnetic properties of ball-milled powders of (Fe1−xMnx)75P15C10 met-glass
Authors: Islam M. A. , Ahsan M. Z. , Satter Sakin S. , Bally M. A. A. , Khan F. A.
Published: February 2021

This paper reports on the structural and magnetic properties of a ball-milled powder sample of (Fe1−xMnx)75P15C10 (x = 0, 0.05, 0.1, 0.2, and 0.3) mixed metallic amorphous ribbons. X-ray diffraction patterns of the as-made powder samples demonstrate a structural phase transition from amorphous to the nanocrystalline structure having a tetragonal (P) type structure. Field emission scanning electron microscopic micrographs show that the particles form a nanocrystalline structure presumably due to the stress relaxation upon ball milling the amorphous ribbons. The observed phase transformation and the changed magnetic properties, e.g., significant enhancement in the coercive field leading to magnetic hardness, are attributed to the controlled milling and Mn substitution in this mixed metallic alloy system, which is the novelty of this research work.
Study on the purification of diesel engine exhaust particles based on water film adsorption
Authors: Xie Xiaopeng , Huang Heng
Published: February 2021

Given the severe pollution caused by particulate matters in diesel engine exhaust, we discuss herein the problem of exhaust back-pressure and regeneration of commonly used diesel particulate filter treatment technology. This paper proposes a method based on water film adsorption to remove exhaust particles from exhaust gas. Particulates flowing through the purification device are adsorbed by the continuous isobaric water film formed on the wave adsorption plate. The formation process and characteristics of the equal pressure-differential water film are studied through combined theoretical analysis and experimental verification. The regeneration process and influencing factors of the purification system are also analyzed, and the treatment of the device is verified. Experiments show that the device offers a better purification of exhaust particulates with lower exhaust resistance and regeneration of the system during the treatment.
A low-frequency and wideband resonant metamaterial plate with front radial membrane
Authors: Chen Chuanmin , Guo Zhaofeng , Liu Songtao , Feng Hongda , Miao Chungang , Qiao Chuanxi
Published: February 2021

The various types of metamaterials only have a sound transmission loss (STL) peak at the resonant frequency but are still constrained by the law of mass sound insulation at other frequencies. In this paper, a low-frequency and wideband resonant metamaterial plate with a front radial membrane was designed in order to improve the noise reduction band. Bandgap and STL were calculated by using the finite element method. Studies have shown that in the range of 1 Hz–100 Hz for new metamaterials, the frequency band with STL greater than 30 dB accounts for 75%, and the noise reduction starting frequency is 11 Hz. The mechanisms were investigated by a comprehensive analysis of mode shapes and sound intensity streamlines and then verified by the negative effective density and equivalent mass–spring model. The mechanism analysis shows that there is a wide bridge coupling bandgap between the respective bandgaps of the plate and the membrane. This novel metamaterial not only guarantees the low-frequency and wideband acoustic performance but also alleviates the problem of instability of the noise reduction performance of the membrane material after long-term use, providing a potential application in low-frequency and wideband noise control.
Closed-loop recycling of rare liquid samples for gas-phase experiments
Authors: Fehre K. , Pitzer M. , Trinter F. , Berger R. , Schießer A. , Schmidt-Böcking H. , Dörner R. , Schöffler M. S.
Published: February 2021

Many samples of current interest in molecular physics and physical chemistry exist in the liquid phase and are vaporized for use in gas cells, diffuse gas targets, or molecular gas jets. For some of these techniques, the large sample consumption is a limiting factor. When rare, expensive molecules such as custom-made chiral molecules or species with isotopic labels are used, wasting them in the exhaust line of the pumps is quite an expensive and inefficient approach. Therefore, we developed a closed-loop recycling system for molecules with vapor pressures below atmospheric pressure. Once filled, only a few valves have to be adjusted, and a cold trap must be moved after each phase of recycling. The recycling efficiency per turn exceeds 95%.
Toolbox for atomic layer deposition process development on high surface area powders
Authors: Knemeyer K. , Baumgarten R. , Ingale P. , Naumann d’Alnoncourt R. , Driess M. , Rosowski F.
Published: February 2021

Atomic layer deposition (ALD) is an industrially applied technique for thin film deposition. The vast majority of processes target flat substrates rather than powders. For ALD on powders, new processes are needed, as different reaction conditions are required. Here, two setups are described in detail, which enhance the ALD process development for powders. The first setup described is capable of directly measuring the vapor pressure of a given precursor by a capacitance diaphragm gauge. Promising precursors can be pre-selected, and suitable precursor saturation temperatures can be determined. The second setup consists of four parallel reactors with individual temperature zones to screen the optimal ALD temperature window in a time efficient way. Identifying the precursor saturation temperature beforehand and subsequently performing the first ALD half cycle in the parallel setup at four different reactor temperatures simultaneously will drastically reduce process development times. Validation of both setups is shown for the well-known ALD precursors, trimethylaluminum to deposit aluminum oxide and diethyl zinc to deposit zinc oxide, both on amorphous silica powder.
First direct comparison of whole beam and single beamlet divergences in a negative ion source with simultaneous BES and CFC tile calorimetry measurements
Authors: Hurlbatt A. , Bonomo F. , Pimazzoni A. , Veltri P. , Agostini M. , Barbisan M. , Brombin M. , Delogu R. , Fantz U. , Heinemann B. , den Harder N. , Orozco G. , Poggi C. , Schiesko L. , Serianni G. , Ugoletti M. , Wimmer C.
Published: February 2021

Neutral beam injection (NBI) systems are required for heating and current drive in the next generation fusion experiment ITER, and strict requirements are placed on the beamlet core divergence (<7 mrad) for transmission into the tokamak. The measurement of single beamlet divergence is challenging due to the multi-beamlet nature of the negative ion sources that are required for such systems; diagnostic systems compatible with large high power ion beams can only provide spatially averaged measurements, leading to mixing of beamlet signals within diagnostic results. To improve the understanding of this effect, a direct comparison has been made between the single beamlet and multi-beamlet divergence by a combination of both Beam Emission Spectroscopy (BES) and 1D carbon fiber composite tile calorimetry, in a joint campaign by IPP and Consorzio RFX. The measurements performed so far in this campaign at the BATMAN Upgrade Test Facility have led to two major results. First, an excellent agreement is found for single beamlet divergences from the two diagnostics, showing that the results from these diagnostic systems can be compared for single beamlets. Second, the contribution of beamlet deflection, caused by an alternating magnetic field at the extract grid, to the divergence as measured using BES has been quantified with up to a factor of 3 increase when compared with the single beamlet value. This demonstrates that further investigation is needed into how mixing of information from a beamlet affects diagnostic results with a combination of both simulation and experiment, which will be performed in a next step.
A novel linear ultrasonic motor with dual sliders
Authors: Lu Danhong , Lin Qiuxiang , Han Yanxiang , Chen Bingxun , Jiang Chunrong , Yao Zheng
Published: February 2021

A novel linear ultrasonic motor with dual sliders using the first bending vibration mode of the stator as the working mode has been studied in this paper. The dual sliders are composed of an upper slider and a lower slider to provide dual outputs synchronously. When the two sliders are connected together, a combined slider of dual sliders can be formed to provide greater output. In order to drive the upper and lower sliders of the dual sliders, the piezoelectric transducer (PZT) ceramics are no longer arranged on the upper and lower surfaces of the elastomer, but at the two ends of the elastomer. The PZT ceramics work in a shear vibration mode. The PZT ceramic deformation is transmitted to the stator elastomer and driving feet through the protruding structure of the elastomer, and then the dual sliders are driven. The working principle of the motor is analyzed, and the structure design of the motor is optimized by the FEM method. The motor prototype has been made. The operational characteristics of the dual sliders motor were tested when the upper slider, the lower slider, and the combined slider were used, respectively, and the feasibility of linear ultrasonic motor with dual sliders has been proved.
Structural, magneto transport and magnetic properties of Ruddlesden–Popper La2-2xSr1+2xMn2O7 (0.42≤x≤0.52) layered manganites
Authors: Saw Ajay Kumar , Gupta Shalabh , Dayal Vijaylakshmi
Published: February 2021

The magneto transport of Ruddlesden–Popper, La2-2xSr1+2xMn2O7 (0.42≤x≤0.52), 2-dimensional bilayered manganites have been investigated in a broad temperature range. The samples have been synthesized using the solid-state reaction method. Rietveld refinement of the X-ray diffraction data indicates the tetragonal structure formation with I4/mmm space group. The resistivity curves of the samples present a general characteristic of metal-insulator (MI) transition at certain temperature (TMI). Besides, for samples with x = 0.48, 0.50, and 0.52, at a certain temperature (TCO) well below TMI the charge ordering is also evident. Furthermore, the samples display a shallow upturn in resistivity below Tmin due to the Kondo like spin scattering effect, weak localization and electron-phonon interaction. The high temperature semiconducting (T>TMI) region, the resistivity curve follows the 3D Mott’s variable hopping transport mechanism. The overall suppression of resistivity accounts for a substantial magnetoresistance by applying a magnetic field and the characteristic change in TMI, TCO, and Tmin are discussed. Temperature-dependent magnetization demonstrates the suppression of ferromagnetism and evident of antiferromagnetic nature with an apparent charge ordering with increasing concentration of Sr2+.
Stressed? Depressed? You are not alone
Authors: Feder Toni
Published: February 2021

Many physicists find that establishing work–life balance is crucial to battling the COVID-related stresses of isolation, low productivity, and despondency.
Enhanced thermoelectric efficiency of monolayer InP3 under strain: a first-principles study
Authors: Keshri Sonu Prasad , Medhi Amal
Published: February 2021

We study the thermoelectric properties of monolayer indium triphosphide (InP3) under uniaxial compressive and tensile strains using density functional theory in conjunction with Boltzmann transport formalism. InP3 is a recently predicted two-dimensional (2D) material with a host of interesting multi-functional properties. Though InP3 is a low lattice thermal conductivity material, its thermoelectric figure of merit, ZT is found to be low. We thoroughly examined how its thermoelectric transport properties evolve under external strain. We find that the tensile (t) and compressive (c) strains have contrasting effects on the transport coefficients, both leading to the same effect of enhancing the ZT value strongly. While t-strain enhances the power factor dramatically, c-strain gives rise to an ultra-low lattice thermal conductivity. Both these effects lead to an enhancement of ZT value at high temperatures by an order of magnitude compared to the corresponding value for free InP3. The maximum ZT value of InP3 at 800 K is found to be ∼0.4 under t-strain and ∼0.32 under c-strain, values which are comparable to those observed for some of the leading 2D thermoelectric materials. Another finding relevant to optoelectronic properties is that under c-strain the material shows a transition from an indirect to a direct band gap semiconductor with an accompanying increase in the valley degeneracy. The structural, electronic, and thermal properties of the material are thoroughly analyzed and discussed.
Graphene-carbon nitride interface-geometry effects on thermal rectification: a molecular dynamics simulation
Authors: Farzadian O , Spitas C , Kostas K V
Published: February 2021

In this paper we expand our previous study on phonon thermal rectification (TR) exhibited in a hybrid graphene-carbon nitride system (G−C3N) to investigate the system’s behavior under a wider range of temperature differences, between the two employed baths, and the effects of media-interface geometry on the rectification factor. Our simulation results reveal a sigmoid relation between TR and temperature difference, with a sample-size depending upper asymptote occurring at generally large temperature differences. The achieved TR values are significant and go up to around 120% for ΔT = 150 K. Furthermore, the consideration of varying media-interface geometries yields a non-negligible effect on TR and highlights areas for further investigation. Finally, calculations of Kapitza resistance at the G-C3N interface are performed for assisting us in the understanding of interface-geometry effects on TR.
Visualization of the grain structure in high-performance Ba1−x
K
x
Fe2As2 superconducting tapes
Authors: Huang He , Yao Chao , Dong Chiheng , Zhang Xianping , Wang Dongliang , Liu Shifa , Cheng Zhe , Zhu Yanchang , Ma Yanwei
Published: February 2021

122 type iron-based superconductors (IBSs) are potential for high-field applications, and the fabrication of high-performance IBS wires and tapes is essential. By using the powder-in-tube method, transport critical current density (J
c) of hot-pressed (HP) silver-sheathed Ba1−x
K
x
Fe2As2 (Ba-122) tapes have reached 1.5 × 105 A cm−2 at 4.2 K and 10 T. However, the J
c of flat-rolled (FR) tapes is 6.2 × 104 A cm−2 (4.2 K, 10 T), less than half of the former. The grain orientation, grain size, and grain shape are important parameters for the understanding of the superconducting properties of IBS tapes. Such grain structure data can be provided by the electron backscatter diffraction (EBSD) technique. In this work, we extensively adopted EBSD to visualize the microstructure of state-of-the-art HP and FR Ba-122 tapes. The grain orientation, grain connectivity, grain size, and grain shape aspect ratio of these two types of tapes are quantitatively analyzed. The c-axis texture is commonly found in both HP and FR tapes, but no in-plane texture is discovered. The texture and grain connectivity in HP tapes are better than that in FR tapes. The grain size of FR tapes is smaller than that of HP tapes, and the hot-pressing processes can promote the growth of grains along the ab plane. We recommend that strong texture will promote the growth of grains, while the small-sized grains will return to limit the formation of texture. Therefore, finding a balance point that plays a synergistic promote effect of grain orientation and grain size is a strategy to improve the transport properties of IBS tapes further. The present results demonstrate that there is still margined to enhance the properties of IBS tapes.
An accurate and robust metrological network for coherent optical frequency dissemination
Authors: Cantin Etienne , Tønnes Mads , Le Targat Rodolphe , Amy-Klein Anne , Lopez Olivier , Pottie Paul-Eric
Published: February 2021

We introduce multi-branch repeater laser stations (MLSs) for the dissemination of an ultra-stable signal from one point to multiple users and the simultaneous evaluation of the stability and accuracy of multiple links. We perform the study of the noise floor of this new instrument. We present then an optical fiber network of 4800 km built with three MLSs and 13 repeater laser stations (RLSs). We show the multi-user optical frequency dissemination on four links totalizing 2198 km with uncertainties below 1.1 × 10−19. The robustness of the network over two years is presented and stability and accuracy at 107 seconds integration time are finally showed.
The effect of hadronic scatterings on the measurement of vector meson spin alignments in heavy-ion collisions *
Authors: Shen Diyu , Chen Jinhui , Lin Zi-Wei
Published: February 2021

Spin alignments of vector mesons and hyperons in relativistic heavy-ion collisions have been proposed as signals of global polarization. The STAR experiment first observed the

polarization. Recently, the ALICE collaboration measured the transverse momentum (

) and the collision centrality dependence of

, and

spin alignments during Pb-Pb collisions at

= 2.76 TeV. A large signal is observed in the low

region of mid-central collisions for

, while the signal is much smaller for

, and these have not been understood yet. Since vector mesons have different lifetimes and their decay products have different scattering cross sections, they suffer from different hadronic effects. In this paper, we study the effect of hadronic interactions on the spin alignment of

,

, and

mesons in relativistic heavy-ion collisions with a multi-phase transport model. We find that hadronic scatterings lead to a deviation of the observed spin alignment matrix element

away from the true value for

and

mesons (with a bigger effect on

) while the effect is negligible for the

meson. The effect depends on the kinematic acceptance: the observed

value is lower than the true value when the pseudorapidity (

) coverage is small, while there is little effect when the

coverage is large. Hence, this study provides valuable information to understand the vector meson spin alignment signals observed during the experiments.
Geometric micro-shapes facilitate trackless connections between human astrocytes
Authors: Li Si , Graham E Scott , Unsworth Charles P
Published: February 2021

Objective. Cell patterning approaches commonly employed to direct the cytoplasmic outgrowth from cell bodies have been via chemical cues or biomaterial tracks. However, complex network designs using these approaches create problems where multiple tracks lead to manifold obstructions in design. A less common but alternative cell patterning modality is to geometrically design the nodes to project the cytoplasmic processes into a specific direction, thus, removing the need for tracks. Jang et al performed an in-depth study of how rodent neuron primaries could be directed accurately using geometric micro-shapes. In parallel and in contrast, to the work of Jang et al we investigate, for the first time, the effect that micro-shape geometry has on the cytoplasmic process outgrowth of human cells of astrocyte origin using the biomaterial parylene-C. Approach. We investigated eight different types of parylene-C micro-shape on SiO2 substrates consisting of the: circle, square, pentagon, hexagon, equilateral triangle and three isosceles triangles with top vertex angles of 14.2°, 28.8°, and 97.6°, respectively. We quantified how each micro-shape influenced the: cell patterning, the directionality of the cytoplasmic process outgrowth and the functionality for human astrocyte. Main results. Human astrocytes became equally well patterned on all different micro-shapes. Human astrocytes could discriminate the underlying micro-shape geometry and preferentially extended processes from the vertices of equilateral triangles and isosceles triangles where the vertex angle equal to 28.8° in a repeatable manner whilst remaining functional. Significance. We demonstrate how human astrocytes are extremely effective at directing their cytoplasmic process outgrowth from the vertices of geometric micro-shapes, in particular the top vertex of triangular shapes. The significance of this work is that it demonstrates that geometric micro-shapes offer an alternative patterning modality to direct cytoplasmic process outgrowth for human astrocytes, which can serve to simplify complex network design, thus, removing the need for tracks.
Optimized design of a tungsten–copper functionally graded material monoblock for minimal von Mises stress meeting the material operational temperature window
Authors: Van den Kerkhof S. , Blommaert M. , Coenen J.W. , Baelmans M.
Published: February 2021

Functionally graded materials (FGMs) are a means to remove discrete material interfaces which lead to high local stress concentrations, such as the tungsten–copper (W–Cu) interface of the current ITER monoblock design. This paper employs adjoint-based optimization methods to identify the highest potential reduction of stresses that could be reached with these materials, while ensuring that the local temperature does not exceed the material temperature operational window. The cheap sensitivity evaluation inherent to the adjoint approach enables the optimization of the detailed 3D material distribution. Furthermore, a novel optimization method based on an augmented Lagrangian formulation is proposed that allows accurate treatment of the material temperature window constraints. The temperature and stresses are modelled by the steady heat conduction and Navier’s equation, respectively. We compare the results of different optimization formulations, with cost functions based on the von Mises stress and corresponding yield criterion and considering different values of the stress free temperature. To assess the performance under off-design conditions, two optimized designs were chosen and compared to the ITER and flat tile (FT) design, which consists of a copper block protected by a tungsten layer on top. The optimized designs lead to a factor 2–4 decrease in maximal stress near the original W–Cu interface of the FT design and a factor 10 decrease in yield criterion measure near the cooling duct. Under off-design conditions, they realized a factor 2–10 decrease in yield criterion in the upper part of the monoblock. This confirms numerically that FGMs can lead to significant design improvements. Finally, the inclusion of the material temperature operation window constraints leads to a decrease of 30–55 vol% W compared to the unconstrained cases, thus profoundly influencing the final design. The stress free temperature was found to have a comparably weaker influence on the final design with differences of 5–30 vol% W.
Development of pre-conceptual ITER-type ICRF antenna design for DEMO
Authors: Bobkov V. , Usoltceva M. , Faugel H. , Kostic A. , Maggiora R. , Milanesio D. , Maquet V. , Ochoukov R. , Tierens W. , Zeus F. , Zhang W.
Published: February 2021

ICRF antenna development for DEMO for the pre-conceptual phase is carried out by merging the existing knowledge about multi-strap ITER, JET and ASDEX upgrade antennas. Many aspects are taken over and adapted to DEMO, including the mechanical design and RF performance optimization strategies. The minimization of ICRF-specific plasma-wall interactions is aimed at by optimizing the feeding power balance, a technique already proven in practice. Technological limits elaborated for the components of ITER ICRF system serve as a guideline in the current design process. Several distinctive aspects, like antenna mounting, integration with the neighboring components or adaptation for neutron environment, are tackled individually for DEMO.
QSPR Analysis and Resulting Capacity of Such Graph Theocratic Matrices Using Minimum Majority Parameter
Authors: Jenitha G. , Paulraj Jayasimman I. , Kumaravel A.
Published: February 2021

Mathematical Parameters are used in QSAR / QSPR analysis to estimate bioactivity of chemical compounds. Throughout this paper we are discussing the QSPR analysis of certain theocratic graph matrices and their corresponding energy. Our analysis reveals some important findings which help define the useful Mathematical Parameter based on their predictive energy.
Ways to Improve the Efficiency of Construction Engineering Management Based on BIM Technology
Authors: Chen Jin
Published: February 2021

At present, the country has higher and higher requirements for the transformation and upgrading of the construction industry. The traditional extensive construction methods can no longer meet the requirements of the transformation and upgrading of enterprises. Industrialization and greening have become the new direction of the development of the construction industry in the future. The purpose of this paper is to study the ways to improve the efficiency of construction engineering management based on BIM technology. This article uses three data exchange methods to test and evaluate the corresponding plug-ins. Data conversion tests were performed on structural analysis models established by more than 60 different software. According to the results of quantitative analysis and comparison, specific suggestions on how to select reasonable data exchange methods in specific situations such as the use of different later models were given. This paper uses BIM technology to achieve 4D construction simulation verification, assists in project schedule management, improves management efficiency, uses BIM technology to assist in optimizing the design of the project construction organization plan, and formulates the optimal construction organization plan. Improve the quality management of engineering design data and realize BIM-based three-dimensional proofreading. And through the analysis of the above-mentioned problems of the M project, and put forward feasible management optimization suggestions, and finally achieve the purpose of helping the construction enterprise to improve the management efficiency and level. At the same time, it can also provide assistance and reference for other similar companies in the same industry. Research has shown that it is not conducive to use this method when the possibility of interface component omission and information deviation in the secondary development of API is 50%, 40%, and 30% respectively, and it performs well in importing structural information parameters. This method is preferred.
Application of Server Virtualization Technology in Power Information Construction
Authors: Yu Hai , Guo Jing , Wu Lei , Wu Shun , Peng Bo
Published: February 2021

In recent years, with the development of our country, higher requirements are put forward for the power supply. Electric power enterprises want to improve their comprehensive strength, but also in order to adapt to the development of the times, it is necessary to carry out information construction. However, the traditional physical server has many shortcomings and shortcomings in the enterprise information construction. Therefore, this paper puts forward the application research of server virtualization technology in power information construction. This paper compares and analyzes the resources needed by physical server and virtual server, and points out that virtual server have obvious advantages of high information security, low energy consumption, high utilization rate and low maintenance cost. In order to make the virtual server successfully applied in the information construction of electric power enterprises, this paper puts forward the operation guidance standard of server virtualization implementation process, and emphasizes that the integration of server resources should be done well in the process of information construction. In order to ensure the security of server virtualization process, this paper lists the detailed security measures of server virtualization. According to the operation of the above steps, the power enterprise can complete the information construction work better through the virtualization of the server. It is considered that the use of virtual server in enterprise information construction is a big trend, which conforms to the development of the times and improves the utilization rate of resources.
RETRACTED: Study on Hypoglycemic Effect of Mulberry Leaf Extract Based on Big Data analysis
Authors: Yang CongFa , Deng Xiang , Tang Ben , Wang XiaoYan
Published: February 2021

With the improvement of people’s living standards and the emergence of aging society, the incidence of diabetes is increasing year by year, and diabetes and its complications have become the third killer threatening human health. There are many drugs for treating diabetes, but their toxic and side effects are all great. Therefore, using big data analysis to find and develop natural products with hypoglycemic effect has high practical value. Therefore, the purpose of this paper is to study the hypoglycemic effect of mulberry leaf extract based on big data analysis. Firstly, this paper studies the medicinal value of mulberry leaves and related application methods by consulting relevant data. Through big data analysis, it is found that mulberry leaves are rich in alkaloid component 1-deoxynojirimycin (DNJ), accounting for more than 50% of alkaloid content. Therefore, this paper takes mulberry leaf extract DNJ as the research object, and firstly prepares mulberry leaf extract. Mulberry leaf water extract was perfused into stomach for 15 consecutive days, and fasting blood glucose of diabetic mice was measured 2 hours after eating by glucose oxidase method at specified time. The hypoglycemic effect of mulberry leaf water extract was analyzed by big data. The results showed that mulberry leaf extract could effectively inhibit the enzyme activity of decomposing sugar and prevent glucose absorption. Therefore, it can significantly reduce the blood sugar level of diabetic mice by about 50%. And the higher the dose of mulberry leaf extract, the better the hypoglycemic effect, showing a dose effect.
Application of Ubiquitous Power Internet of Things and IPv6 Technology in Wireless Access Terminal and Intelligent Meter Reading Application
Authors: Wang Yawen , Guo Feng , Yao Weiqing , Deng Guoru , Liao Rongtao , Hu Shuai , Jin Bo , Meng Haohua , Xiao Dongling
Published: February 2021

Power is the basis of the development of enterprises and even the country. In recent years, the demand for power in China is increasing. Wireless access terminals and intelligent meter reading have been widely used in the field of electric power. But at the same time, there are still many deficiencies in China’s power grid. Therefore, this paper puts forward the research of ubiquitous power Internet of things and IPv6 Technology in wireless access terminal and intelligent meter reading application. In this paper, the current types of distribution network are investigated, and the shortcomings of the current power grid are analyzed. In view of the existing power grid operation in China, this paper deeply studies the prospect of ubiquitous power Internet of things and IPv6 Technology in wireless access terminal and intelligent meter reading application, as well as the unique advantages of ubiquitous power Internet of things and IPv6 Technology in power grid. Through the relevant investigation, it can be seen that the service level, operation level, ecological environment construction and data sharing of the enterprise have been greatly improved after using ubiquitous power Internet of things and IPv6 technology. In addition, the power network structure has the advantages of simplifying network, reducing parameter setting, reducing communication flow and enhancing real-time data transmission. At the end of the study, this paper analyzes the key technology of ubiquitous power Internet of things in wireless access terminal and intelligent meter reading application, and puts forward a new research direction for the full application of the technology.
A Decomposition Control of Variable Speed Control Torque Gyro
Authors: Wu Yue , Guan Rongqiang , Shao Fang , Yan Jingjing
Published: February 2021

IPACS (energy / attitude control integrated control system) is the main problem studied in recent years. In view of this problem, on the basis of the existing flywheel control law torque analysis, the singular value decomposition of torque output in CMGs mode is carried out. Only when the CMGs mode is close to singular, the instruction torque in the singular direction will be allocated to RWs so as to give full play to the VSCMGs execution ability under the premise of ensuring the output accuracy of the VSCMGs. In order to realize the control better, the zero motion control law and robust pseudo-inverse operation rate are analyzed.
RETRACTED: Construction of College English Teaching Resource Database under the Background of Big Data
Authors: Tan Qingyan , Shao Xiurong
Published: February 2021

At present, the construction of college English network resource database in domestic universities is still in its initial stage in practice, and it is almost a blank in theoretical research. The construction of college English teaching resource database is of great strategic significance for promoting the construction of college English subject resources and improving the talent training mode. In this regard, the purpose of this paper is to study the construction of college English teaching resource database under the background of big data. This paper first discusses the current situation of college English teaching resources construction and resources in China. This paper summarizes the main problems existing in contemporary Chinese college English teaching resources database. According to the previous investigation and research results, and combining with big data technology, this paper constructs a new college English teaching resource library. The new college English teaching resource library puts the feelings of college students at the main position, and its teaching resources are more inclined to the subjective initiative and communication of college students. The resource library also uses the storage architecture of data warehouse, combined with big data and other related technologies, to realize the storage and update of various English teaching resources, and meet the needs of effective management of teaching resources in colleges and universities. Finally, this paper compares the old and new college English teaching resources. The experimental results show that the college English teaching resource database constructed in this paper is more recognized and liked by students, and the degree of students’ liking for English has increased by about 55%, which plays a significant role in improving students’ English and provides an important reference for the construction of college English teaching resource database.
Research on the Creation of Film and TV Works Based on Virtual Reality Technology
Authors: Wang Song , Xu Qing , Liu Yaojie
Published: February 2021

Film and television works are one of the art forms of television and film. They are a form of cultural heritage of a country and company in the new era. They have always been the souls that lead culture to prosperity and development. With the development of computer technology, film and television technology, especially the special effects technology of film and television, has achieved unprecedented development. Compared with traditional real film and television technology, the development of virtual reality technology provides a broader space for film and television creators. This article mainly analyzes the current domestic film and television animation production process based on the virtual reality profession, expounds the necessity of further strengthening the effective application of digital special effects, and launches a before-and-after comparison of “effective use” in combination with specific cases. Analyze the pros and cons of my country’s films, TV and advertising works. At present, my country has established corresponding research, production and teaching institutions at home and abroad. This article compares an interactive movie “The Lion King” based on virtual reality with movies with higher ratings on Douban, and finds that movies and TV works based on virtual reality technology are more popular with audiences.
The advantages and disadvantages of agricultural economic management information
Authors: Fan Shicong
Published: February 2021

Agriculture is an important part of economic management. In recent years, due to the popularization of the Internet, the adjustment of agricultural industry structure and the information management of agricultural industry have been accelerated. The wide application of information technology in rural economic management can effectively promote the development of rural economy. Because the development of my country’s agricultural information industry started late, and its application is relatively late. On this basis, this article studies the advantages and disadvantages of agricultural economic management information, such as modern production factors and agricultural economic information management by means of agricultural data collection. Taking the agricultural economic management informationization as the experimental group and traditional agricultural economic management as the control group, the application research is carried out. Through the use case test of the agricultural informationization platform data collection system, it is shown that information technology can effectively improve the efficiency of agricultural production. Experimental results show that information technology can effectively make up for the lack of economic information management in agricultural production and life. In addition, the government should increase capital investment in personnel training to promote agricultural economic management information.
Development Trend of the Integration of Artificial Intelligence and Sports Industry
Authors: Li JiSong
Published: February 2021

Artificial intelligence has slowly become the focus of research in various countries, and the application of artificial intelligence has become more and more extensive, and it can be seen in more and more industries. However, the application of artificial intelligence technology to the sports industry is still an attempt with unpredictable results, but it will be a bold attempt. In addition, in the process of the integration and development of artificial intelligence and the sports industry, there must be some problems. This requires researchers and staff to have enough patience to solve these problems, and through joint efforts to continuously improve, make artificial intelligence and sports the integrated development of the industry is more stable. This paper adopts a combination of empirical analysis and theoretical analysis, systematically researches the current status of the development of the sports industry with artificial intelligence, and analyzes the development trend of this new type of sports industry. The results of the experiment show that the market size of China’s artificial intelligence sports education and the growth rate of the number of users have both remained above 20%, which has doubled in just four years, showing the rapid development of it. It proves from the side that the unique environmental advantages and sufficient talent advantages of the artificial intelligence sports industry have laid a strong human resource foundation for the sports industry in the central plains urban agglomeration; the artificial intelligence sports industry has a wealth of traditional characteristic sports industry projects, and is the development of the artificial intelligence sports industry provides a rich resource base for the sports industry.
Modern Economic System under the Background of Artificial Intelligence
Authors: Xiong Lilan
Published: February 2021

With the rapid development of artificial intelligence, more and more people begin to pay attention to the impact of artificial intelligence on our work and life. After the world-famous player Go AlphaGo defeated the world champion Go:4, the emergence of “financial robots” once again attracted the attention of the industry. People are also moving the research center closer to artificial intelligence. Although the current research on the modern economic system is very comprehensive, there are still some shortcomings. For example: economic environment background, economic development method, etc. This has also led to difficulties in the study of modern economic systems. But with the help of artificial intelligence, we can simplify this problem. This article mainly conducts a comprehensive research on the financial system through literature research method, content analysis method and research analysis method. Through the combination of the above methods, we can conclude from the result data that the accuracy of the research on the modern economic system has increased by 17%.
Taylor Based Jump Diffusion Model of Fractional Brownian Motion of Stock Price
Authors: Ma Hui
Published: February 2021

Assuming that the stock price follows the stochastic differential equation driven by fractional Brownian motion and jump process, under the condition that the interest rate and volatility are constant. It has nothing to do with the relative importance of the information causing the jump. Generally speaking, the relative jump height of stock price depends on the relative importance of the important information. Fractional Brownian motion not only has various properties of fractional Brownian motion, but also has nonstationary increment. On the basis of fractional Brownian motion model, the fractional Brownian motion model with jump, namely fractional jump-diffusion process, is investigated. It is proposed to use Taylor expansion to deal with the control items in the model. For large-scale numerical simulation, it can reduce the amount of calculation required by the algorithm and save computer memory. The method of guessing value function and Taylor series expansion is introduced to solve the value function. The dialectical relationship between mathematics and finance is shown from one side: on the one hand, mathematics is a powerful tool for financial research; on the other hand, financial practice has promoted the development of mathematical theory itself.
Explore How Artificial Intelligence and VR Technology will Change the Development of Future Education
Authors: Yang Hui
Published: February 2021

In recent years, with the rapid development of VR technology and artificial intelligence, its application scope has gradually involved the education field. VR technology can break through the limitations of the traditional curriculum environment and simulate complex environments. It can visualize complex and abstract theoretical knowledge, provide learners with scientific and precise guidance and gain more knowledge. Based on this, this article discusses how artificial intelligence and VR technology can change the development of education in the future. The research of this article is mainly divided into three parts: the first part is the research on the impact of artificial intelligence on education; the second part is the research on the application of VR technology in the classroom; the third part is the investigation and research. Through research, it is found that in the current small environment of school education, artificial intelligence has the advantages of fast and accurate, and its ability to detect students’ deficiencies and improve learning efficiency far exceeds teachers. However, the current education sector is busy improving students’ memory of knowledge, while neglecting to cultivate students’ imagination and creativity. The students trained in this way will surely be replaced by artificial intelligence. Therefore, the popularization of VR technology and artificial intelligence will inevitably promote the change of education goals, so as to cultivate talents who can meet the needs of future society.