bluuebunny/crossref_metadata_2025_split huggingface dataset:
The network of telecommunications cross‐layer cooperation control of wireless sensor communication network applied in smart distribution grid
Authors: Li Chunlai , Yuan Shun 
Published: February 2022

SummaryWith the rapid development of artificial intelligence, the intelligent distribution network can effectively improve the overall power supply quality of the distribution system. The designed distributed power has been able to achieve an optimal operation of grid connection, while the high‐speed operation of distribution equipment can achieve effective interaction with users. At present, intelligent distribution network is widely studied and applied in power industry because of its advantages of high efficiency energy and environmental protection. Because of its unique characteristics, such as low cost and fast speed, wireless sensor network is cleverly applied in intelligent distribution network. However, wireless sensor network has some defects in energy utilization due to its large range and too many nodes. This paper presents a cross‐layer cooperative control model, which can control the real time and reliability of network power data communication through stack protocol layer. This method can learn the weight value adaptively by training the influence relationship between the parameters of each protocol layer and achieve real‐time and reliable data communication by adjusting the policy and parameters of each layer in real time. This method takes the parameters of each wireless sensor node as the unit to establish the influence relationship between each other so as to realize the connection between each node of wireless sensor network and then to control the wireless sensor network as a whole to ensure the real‐time reliability of data communication in intelligent distribution network. In this paper, a lot of simulation experiments have been done, and the results show that the proposed cross‐layer cooperative control model can control the whole wireless sensor network to achieve efficient data transmission capacity of intelligent distribution wireless sensor network.
5G‐oriented non‐orthogonal multiple access technology
Authors: He Yifeng , Zhang Rui , Ye Nan 
Published: February 2022

SummaryWith the changes of the times and the rapid development of the mobile Internet and the Internet of Things, network communications are facing increasingly severe challenges. Due to the user exclusivity of the orthogonal resources of the existing orthogonal multiple access technology, it is difficult for the number of accessible users and the spectral efficiency to meet the application requirements of network communications. 5G technology will meet the diverse business needs of people in various scenarios such as life, work, leisure, and transportation. This paper analyzes the 5G‐oriented non‐orthogonal multiple access (NOMA) technology and designs and implements a NOMA technology simulation platform laboratory based on 5G technology. The entire simulation experiment adopts a modular design concept so that it can be modified and extended in the future network communication. In this paper, the user pairing scheme and power allocation algorithm of NOMA technology are studied in depth. For the user pairing scheme, this paper adopts two schemes: traversal search pairing scheme and grouping pairing scheme. For the same algorithm for power allocation, this paper studies two suboptimal power allocation algorithms including fixed power allocation and partial transmission power allocation. Simulation experiments show that the average cell throughput and cell edge user throughput of NOMA are slightly lower than when the traversal search pairing scheme is adopted: the average cell throughput has decreased by approximately 4%, and the cell edge user throughput has decreased by approximately 1.6%. The packet pairing scheme is a compromise between complexity and throughput performance. For different power allocation factor values, the overall throughput performance of some transmission power allocation algorithms is better than the flower pollination algorithm (FPA).
Coverage optimization algorithm based on control nodes position in wireless sensor networks
Authors: Li Qiangyi , Liu Ningzhong 
Published: February 2022

SummaryCoverage is one of the basic problems that any wireless sensor network application must solve properly to achieve the expected quality of service. The communication distance of wireless sensor network nodes is limited, the initial energy is low, and many optimization objectives need to be considered in the deployment, which makes the network deployment optimization very complicated, and many problems are difficult. In essence, the deployment problem is a multidimensional nonlinear optimization problem with continuous discrete variables. In order to meet the needs of network monitoring, this article establishes a reasonable mathematical model according to the research objectives. By adjusting node position to obtain better network coverage effect, an optimization algorithm of monitoring area coverage based on control node position is proposed. By calculating the new location of nodes, more monitoring areas can be covered by the nodes. The simulation results show that the proposed algorithm can improve the coverage effect rapidly.
Frequency analysis and research of the traveling wave signal of catenary line
Authors: Wang Jian , Wang Wei 
Published: February 2022

SummaryDue to the characteristic of traveling wave dispersion, the wave shape distortion is caused, and the technical difficulty of traveling wave fault location is increased. The frequency analysis and research of the traveling wave signal of the catenary line are presented, based on the wavelet theory and discrete Fourier transform. At first, the frequency information of the traveling wave signal is extracted by DFT, which turns on that the amplitude of each frequency and its distribution characteristics are clarified. Then, the analysis and verification of the traveling wave signal of the catenary line rely on the wavelet theory. The simulation results show that the frequency distribution of the catenary line is obvious, and it has great significance for the further understanding of the characteristics of the traveling wave dispersion and the use of traveling wave ranging technology.
Three‐dimensional face modeling technology based on 5G virtual reality binocular stereo vision
Authors: Zhao Hongjun , Wu Bin 
Published: February 2022

Summary5G virtual reality technology is a technology that has attracted widespread attention in the computer field in recent years. Establishing a harmonious human–computer interaction environment in the multidimensional information space is one of the development goals of information technology. Face information is important information for identifying the identity of others. Three‐dimensional information has important applications in many fields and directions of machine vision. Therefore, the three‐dimensional common face image has a significant meaning. In this paper, binocular stereo vision system is used to collect multiple pairs of facial information images. The image correction method was used to correct the collected image pairs. According to the basic criteria of stereo matching, the advantages and disadvantages of various traditional image matching methods are analyzed. On the basis of completing the image correction, the graph cut matching method is selected as the matching method, and multiple pairs of collected image pairs are matched by this method to obtain a multi‐angle face disparity map. In this paper, after studying the basic dense matching algorithm and its improved algorithm, the SAD, SD, and NC methods of fixed window are used to compare the matching cost and the performance of the adaptive weight method in face matching. This paper studies the virtual roaming technology and the basis of the related Internet of Things (IoT) 3D face graphics theory and develops a building virtual roaming system based on MFC and OpenGL. The system draws on the basic I/0 device of the computer and provides users with a friendly MFC interface and multiple viewing angles and multiple roaming mode options for virtual faces. Experimental research shows that the reconstruction accuracy of the spatial points of the reconstructed face and the actual situation are both about 1%, which shows that the IoT 3D face modeling algorithm designed in this paper has high accuracy.
Development of optical‐driven nanoneedles using SU‐8 nanofabrication
Authors: Harada Masahiko , Takao Hidekuni , Simokawa Fusao , Terao Kyohei 
Published: February 2022

AbstractWe developed an optical‐driven nanoneedle that is operated in aqueous solution by two focused laser beams. A nanoneedle tool consists of 2 μm‐sized structures for optical trapping and a nanoneedle having 200 nm width and 20 μm length. Nanoneedle tools are fabricated with single ultraviolet (UV) lithography of SU‐8 photoresist with highly scalable manner. We evaluated the conditions of the lithography processes: rinse, hard bake and post exposure bake (PEB) that determine the shape of the nanoneedles and recovery rate. We demonstrated the trapping of a nanoneedle tool to verify the manipulation of the position and the orientation. Nanoneedle tools have an advantage in the use of closed microchanells, which can lead to the applications including delivery and extraction of substances inside single cells and pinpoint molecular processing of biomolecules. In this paper, we report on the fabrication process of the nanoneedle tools and the demonstration of the manipulation.
Cardiac allograft vasculopathy and donor age affecting permanent pacemaker implantation after heart transplantation
Authors: Roest Stefan , Manintveld Olivier C. , Kolff Marit A.E. , Akca Ferdi , Veenis Jesse F. , Constantinescu Alina A. , Brugts Jasper J. , Birim Ozcan , van Osch‐Gevers Lennie M. , Szili‐Torok Tamas , Caliskan Kadir 
Published: February 2022

AbstractAimsThe need for permanent pacemakers (PMs) after heart transplantation (HT) is increasing. The aim was to determine the influence of cardiac allograft vasculopathy (CAV), donor age, and other risk factors on PM implantations early and late after HT and its effect on survival.Methods and resultsA retrospective, single‐centre study was performed including HTs from 1984 to July 2018. Early PM was defined as PM implantation ≤90 days and late PM as PM > 90 days. Risk factors for PM and survival after PM were determined with (time‐dependent) multivariable Cox regression. Out of 720 HTs performed, 62 were excluded (55 mortalities ≤30 days and 7 retransplantations). Of the remaining 658 patients, 95 (14%) needed a PM: 38 (6%) early and 57 (9%) late during follow‐up (median 9.3 years). Early PM risk factors were donor age [hazard ratio (HR) 1.06, P < 0.001], ischaemic time (HR 1.01, P < 0.001), and in adults amiodarone use before HT (HR 2.02, P = 0.045). Late PM risk factors were donor age (HR 1.03, P = 0.024) and CAV (HR 3.59, P < 0.001). Late PM compromised survival (HR 2.05, P < 0.001), while early PM did not (HR 0.77, P = 0.41).ConclusionsRisk factors for early PM implantation were donor age, ischaemic time, and in adults amiodarone use before HT. Late PM implantation risk factors were donor age and CAV. Late PM diminished survival, which is probably a surrogate marker for underlying progressive cardiac disease.
Kinetics‐Controlled Synthesis of {100}‐Facet‐Enclosed Gold Quasi‐Square Nanosheets with Curved Edges
Authors: Zhou Jing , Jia Qinglei , Zhang Gongguo , Zhang Haifeng , Zhao Na , Zheng Yiqun 
Published: February 2022

AbstractWe report the preparation of gold (Au) nanosheets with a quasi‐square morphology and curved edges (Au QSNSs). The atomic packing on the edge, corner, and central part of an individual Au QSNS is carefully observed via spherical aberration corrected high‐resolution transmission electron microscopy, and the atomic‐resolution images confirm the dominant presence of {100} facets on all these regions. Such type of two‐dimensional nanostructure is of great interest, as conventional gold nanoplates/nanoprisms are mainly enclosed with {111} facets on upper/bottom faces. The use of glutathione and octadecyltrimethylammonium chloride as the shape‐directing agent and the capping agent, respectively, at appropriate amounts, together with a dropwise addition of Au precursor at controlled rate, have been validated to be crucial for the formation of such a unique two‐dimensional nanostructure. When acting as electrocatalysts for the methanol oxidation reaction in alkaline medium, the Au QSNSs/C exhibited noticeable enhancement, compared to spherical counterparts, in terms of mass activity, reaction kinetics, and long‐term durability, demonstrating their structural advantage.
Manufacturing Approaches of New Halogenated Agrochemicals
Authors: Jeschke Peter 
Published: February 2022

AbstractTo ensure sustainability, the agrochemical industry is faced with enormous challenges, from provision of high‐quality food to water use, environmental impact and growing world population. The loss of agrochemicals due to consumer perception, changing grower needs and everchanging regulatory requirements is higher than the number of active ingredients being introduced into the market. Therefore, the development of new agrochemicals is essential, that can provide improved efficacy and favorable environmental profiles. In this context, introduction of halogen atoms into a molecule is an important tool to influence its physico‐chemical properties. Since 2010, around 81 % of the launched agrochemicals contain halogen atoms. This Review gives an overview of the latest generation of halogen‐containing agrochemicals introduced into the market over the past 10 years and describes manufacturing approaches of current halogen‐containing development candidates.
Holocene fluvial depositional regimes of the Huab River, Skeleton Coast, Namibia
Authors: Walsh Ella , Caracciolo Luca , Ravidà Domenico , Burrough Sallie , Thomas David 
Published: February 2022

AbstractDryland fluvial systems respond to hydroclimate changes on Quaternary timescales, yet deciphering the palaeoenvironmental histories they preserve is often complex. Whilst hydrological signals are preserved in sediment stores as variations in sediment amount, character, and composition, studies in dryland settings such as Namibia that link sedimentological and compositional changes to palaeoflow are limited. Focusing on the Huab River, Skeleton Coast, this paper presents the first integrated study of textural, compositional, and stratigraphic features from a Namibian fluvial archive. Petrographic and heavy mineral assemblages from Raman laser spectroscopy are combined with lithostratigraphic and particle size analysis. Together with a chronology established through 42 optically stimulated luminescence ages, we reconstruct provenance, changes in river style, and fluvial response to climate.The Huab lithostratigraphic record details periods of flashy ephemeral flow interbedded with flow within well‐defined channels. Compositional assemblages indicate that humid conditions during the early to mid‐Holocene resulted in activation of sediment stores across the catchment. Episodic discharge within an ephemeral river from 12 to 9 ka was followed by a more sustained river flow in a channelized system from 7 to 5 ka. During the late Holocene, better hydraulic sorting, increased mechanical breakdown of polycrystalline grains, and flash flood lithofacies suggest that flow occurred within a more arid climate. This fine‐scaled analysis of an ephemeral fluvial system indicates the utility of assessing compositional changes to distinguish between depositional regimes. This is an important approach for reconstructing fluvial response to climate and for obtaining palaeoenvironmental records from complex sedimentary archives in dryland river settings.
Altitude and density optimization over UAV‐enabled massive IoT wireless communications
Authors: Shabani Maryam , Faraji Neda , Baghani Mina 
Published: February 2022

AbstractUtilizing unmanned aerial vehicles (UAVs) as aerial base stations is a new and promising technology that enables the connectivity of a large volume of devices such as sensors and machines, referred to as massive Internet of Things (mIoT). This article aims to analyze and optimize the area spectral efficiency (ASE) by investigating the efficient deployment of UAVs to ensure reliable uplink communication from ground IoT devices to UAVs. We utilize the tools from stochastic geometry to derive the closed form expression of the ASE in the interference‐limited regime. We propose a novel framework for maximizing the ASE of UAV‐enabled networks by simultaneous optimization of UAVs' altitude and density. The simulation results demonstrate that deploying UAVs with combined optimal density and altitude outperforms more conventional deployment strategies in terms of the ASE.
Tunnelgeothermie – Ein Überblick
Authors: Stemmle Ruben , Menberg Kathrin , Rybach Ladislaus , Blum Philipp 
Published: February 2022

AbstractTunnel geothermal systems hold the potential to promote decarbonization of the building heating and cooling sector. They can be integrated into existing infrastructure, resulting in low additional costs. In addition, these systems have large contact areas with the ground leading to larger heat fluxes. However, tunnel geothermics is relatively unknown and rarely used. Thus, the objective of this study is to provide an overview of the two primary tunnel geothermal system types as well as their application and potential. Open hydrothermal systems use the tunnel drainage water as a heat source, whereas closed absorber systems harness the heat flux from the subsoil and the warm tunnel interior via heat exchangers. The evaluation of the global application of existing and planned tunnel geothermal systems shows that all open systems are currently located in mountainous regions with a thick rock overburden. In contrast, closed absorber systems are mostly installed in urban tunnel infrastructures. The spatial distribution of geothermal tunnel systems has a focus in central Europe with Switzerland, Germany and Austria being the countries with the highest number of installed systems. Finally, this study also presents a brief summary of existing methods to determine the geothermal potential of tunnels.
Characterisation of the Upper Jurassic geothermal reservoir in the South German Molasse Basin as basis for a potential assessment to foster the geothermal installation development – Results from the joint research project Geothermal Alliance Bavaria
Authors: Zosseder Kai , Pfrang Daniela , Schölderle Felix , Bohnsack Daniel , Konrad Florian 
Published: February 2022

AbstractGeothermal energy applications are seen as one key element for a successful heat transition in Bavaria. But there are still some barriers for a further development. To minimize these barriers the joint research project Geothermal Alliance Bavaria (GAB) is established. One important issue to foster the implementations of geothermal projects is the assessment of geothermal load prediction in the South German Molasse Basin (SGMB). This includes, aside from a reservoir temperature prognosis, an accurate description of the hydraulic properties of the Upper Jurassic Malm reservoir. Hydraulic test analyses are conducted in the framework of the GAB to obtain specific information about the hydraulic productivity of the reservoir. Results from these analyses show a decrease of rock permeability in southern direction within the reservoir. Because the spatial distribution of hydraulic test data is limited, the porosity of the reservoir is assessed by borehole core tests and logs interpretation. A trend of matrix porosity decrease with depth is recognised and correlates with the hydraulic test results. Based on these findings and combined with further information the Upper Jurassic reservoir could be classified in separated zones of similar production rates, which can now be used for a thermal output prognosis for the Bavarian part of the SGMB. To spatially expand these prognoses more data must be investigated in the next research phase of the GAB.
The rock mass as the governing factor for successfully developing deep geothermal systems in Southern Germany
Authors: Stockinger Georg , Thuro Kurosch , Moeck Inga , Straubinger Robert 
Published: February 2022

AbstractIn Southern Germany, geothermal wells target Upper Jurassic carbonates, formerly referred to as Malm, below the Northern Alpine Foreland Basin (NAFB). In the northern, shallower carbonates (3000 m depth), e.g., in the Munich area, hydrothermal systems prevail, and wells yield proper flow rates. Deeper carbonates (< 4000 m) towards the south indicate a petrothermal system due to a decline in porosity and permeability. Inexplicably, fractures only contribute poorly to larger flow rates. This sets the goal for the project Dolomitkluft to analyse the rock mass for options countering low flow rates in two geothermal wells at Geretsried, Bavaria. Therefore, 20 m drill cores from 4600 to 4715 m total vertical depth (TVD) depict the initial structure of the rock mass: the rock parameters, the discontinuity network, and the in situ stresses. Alternating homogeneous, micritic, strong, to inhomogeneous, porous, weak limestones and massive, crystalline dolostones define the stratigraphy. Five joint sets from the cores can be distinguished into the bedding, two paleo anti‐ and synthetic normal faults and two recent strike‐slip faults. The latter, in combination with core disking, allows exclusively a strike‐slip (SS) stress regime and delimits the ratio to at least SH : Sv : Sh = 1.7 : 1.0 : 0.7. According to the results, including dilatation‐ and slip‐tendencies, drill trajectories of prosperous geothermal wells should head ESE/WNW, perpendicular to SS‐faults, and avoid the presence of normal faults.
IGF‐1 regulates astrocytic phagocytosis and inflammation through the p110α isoform of PI3K in a sex‐specific manner
Authors: Pinto‐Benito Daniel , Paradela‐Leal Carmen , Ganchala Danny , de Castro‐Molina Paula , Arevalo Maria‐Angeles 
Published: February 2022

AbstractInsulin‐like growth factor‐I (IGF‐I) signaling plays a key role in neuroinflammation. Here we show that IGF‐1 also regulates phagocytosis of reactive astrocytes through p110α isoform of phosphatidylinositol 3‐kinase (PI3K), differentially in both sexes. Systemic bacterial lipopolysaccharide (LPS)‐treatment increased the expression of GFAP, a reactive astrocyte marker, in the cortex of mice in both sexes and was blocked by IGF‐1 only in males. In primary astrocytes, LPS enhanced the mRNA expression of Toll‐like receptors (TLR2,4) and proinflammatory factors: inducible nitric oxide synthase (iNOS), chemokine interferon‐γ‐inducible protein‐10 (IP‐10) and cytokines (IL‐1β, IL‐6, and IL‐10) in male and female. Treatment with IGF‐1 counteracted TLR4 but not TLR2, iNOS, and IP10 expression in both sexes and cytokines expression in males. Furthermore, reactive astrocyte phagocytosis was modulated by IGF‐1 only in male astrocytes. IGF‐1 was also able to increase AKT‐phosphorylation only in male astrocytes. PI3K inhibitors, AG66, TGX‐221, and CAL‐101, with selectivity toward catalytic p110α, p110β, and p110δ isoforms respectively, reduced AKT‐phosphorylation in males. All isoforms interact physically with IGF‐1‐receptor in both sexes. However, the expression of p110α is higher in males while the expression of IGF‐1‐receptor is similar in male and female. AG66 suppressed the IGF‐1 effect on cytokine expression and counteracted the IGF‐1‐produced phagocytosis decrease in male reactive astrocytes. Results suggest that sex‐differences in the effect of IGF‐1 on the AKT‐phosphorylation could be due to a lower expression of the p110α in female and that IGF‐1‐effects on the inflammatory response and phagocytosis of male reactive astrocytes are mediated by p110α/PI3K subunit.