bluuebunny/crossref_metadata_2025 huggingface dataset:
New cytotoxic natural products from the marine sponge-derived fungus Pestalotiopsis sp. by epigenetic modification
Authors: Lei Hui , Zhang Dan , Ding Nan , Chen Siwei , Song Can , Luo Yu , Fu Xiujuan , Bi Xiaoxu , Niu Hong
Published: October 2020

Four new polyketide derivatives, pestalotiopols A–D (1–4), together with seven known compounds (5–11), were isolated from a chemical-epigenetic culture of Pestalotiopsis sp.
Mucilage-capped silver nanoparticles for glucose electrochemical sensing and fuel cell applications
Authors: Khalifa Ziad , Zahran Moustafa , A-H Zahran Magdy , Azzem Magdi Abdel
Published: October 2020

A simple, cost-effective and green mucilage-capped silver nanoparticles (Mucilage-AgNPs) modified glassy carbon electrode (GC) composite was constructed for efficient and facile electrochemical oxidation of glucose for the first time.
Melamine-based functionalized graphene oxide and zirconium phosphate for high performance removal of mercury and lead ions from water
Authors: Bakry Ayyob M. , Awad Fathi S. , Bobb Julian A. , Ibrahim Amr A. , El-Shall M. Samy
Published: October 2020

Two novel chelating adsorbents are developed for the effective and selective extraction of Hg(ii) and Pb(ii) ions from contaminated water sources.
Fabrication and functionalization of 3D-printed soft and hard scaffolds with growth factors for enhanced bioactivity
Authors: Jose Jiya , Sultan Sahar , Kalarikkal Nandakumar , Thomas Sabu , Mathew Aji P.
Published: October 2020

3D printed scaffolds with tailored bioactivity using protein conjugation.
An electrochemical neutralization energy-assisted membrane-less microfluidic reactor for water electrolysis
Authors: De Biswajit S. , Singh Aditya , Elias Anastasia , Khare Neeraj , Basu Suddhasatwa
Published: October 2020

Membrane-less microfluidic reactors for water electrolysis can serve as a disruptive technology for the sustainable production of hydrogen utilizing excess electricity from intermittent renewable energy sources.
A mini-review of embedded 3D printing: supporting media and strategies
Authors: Zhao Jingzhou , He Nongyue
Published: October 2020

Embedded 3D printing is an additive manufacturing method based on a material extrusion strategy.
Precursors for direct-write nanofabrication with electrons
Authors: Barth Sven , Huth Michael , Jungwirth Felix
Published: October 2020

The influence of precursor's chemical composition and side reactions on materials obtained by direct nanoprinting using FEBID techniques is discussed.
Room-temperature phosphorescence from a purely organic tetraphenylmethane derivative with formyl groups in both solution and crystalline states
Authors: Shu Haiyang , Li Hua , Rao Jiancheng , Chen Liang , Wang Xin , Wu Xiaofu , Tian Hongkun , Tong Hui , Wang Lixiang
Published: October 2020

A tetraphenylmethane derivative with four aldehyde groups (TPM-4CHO) exhibits clear blue phosphorescence in common organic solvents at room temperature. Additionally, bright green phosphorescence can be observed in its crystal.
Neuregulins: protective and reparative growth factors in multiple forms of cardiovascular disease
Authors: Geissler Andrew , Ryzhov Sergey , Sawyer Douglas B.
Published: October 2020

Neuregulins (NRGs) are protein ligands that act through ErbB receptor tyrosine kinases to regulate tissue morphogenesis, plasticity, and adaptive responses to physiologic needs in multiple tissues, including the heart and circulatory system. The role of NRG/ErbB signaling in cardiovascular biology, and how it responds to physiologic and pathologic stresses is a rapidly evolving field. While initial concepts focused on the role that NRG may play in regulating cardiac myocyte responses, including cell survival, growth, adaptation to stress, and proliferation, emerging data support a broader role for NRGs in the regulation of metabolism, inflammation, and fibrosis in response to injury. The constellation of effects modulated by NRGs may account for the findings that two distinct forms of recombinant NRG-1 have beneficial effects on cardiac function in humans with systolic heart failure. NRG-4 has recently emerged as an adipokine with similar potential to regulate cardiovascular responses to inflammation and injury. Beyond systolic heart failure, NRGs appear to have beneficial effects in diastolic heart failure, prevention of atherosclerosis, preventing adverse effects on diabetes on the heart and vasculature, including atherosclerosis, as well as the cardiac dysfunction associated with sepsis. Collectively, this literature supports the further examination of how this developmentally critical signaling system functions and how it might be leveraged to treat cardiovascular disease.
Physical layer security for IEEE 802.15.7 visible light communication: chaos‐based approach
Authors: The Son Tran , Le‐Minh Hoa , Aslam Nauman , Nguyen Quang Nhu Quynh
Published: October 2020

This study proposes a chaos‐based security model applied to the physical (PHY) layer of visible light communication (VLC) systems in accordance with the IEEE 802.15.7 standard. The proposed model employs a chaotic signal generated by a Colpitts oscillator to encrypt the header of IEEE 802.15.7 VLC frames in the PHY layer to prevent eavesdropping, traffic analysis and error function attacks. The encryption method employed here is chaotic inclusion or embedding, which is known as one of the most secure chaos‐based approaches. Thus, the essential information pertaining to the employed chaotic oscillator, i.e. its structure, parameter set, the utilised modulation and synchronisation methods is not visible or traceable to the eavesdropper. Moreover, the unencrypted payload is extended by an additional number of random padding bits which can only be determined by decrypting the header of the VLC frame hence the payload is unrecognisable to eavesdroppers though it has not been encrypted. At the legitimate receiver side, the received IEEE 802.15.7 frames are successfully recovered by removing the chaotic wave using chaotic synchronisation techniques. The simulation results show that the encrypted header and the unencrypted payload of the IEEE 802.15.7 frames are well protected and successfully recovered by legitimate receivers.
Infrared and visible image fusion using a shallow CNN and structural similarity constraint
Authors: Li Lei , Xia Zhaoqiang , Han Huijian , He Guiqing , Roli Fabio , Feng Xiaoyi
Published: October 2020

In recent years, image fusion methods based on deep networks have been proposed to combine infrared and visible images for achieving better fusion image. However, issues such as limited training data, scarce reference images and misalignment of multi‐source images, still limit the fusion performance. To address these problems, we propose an end‐to‐end shallow convolutional neural network with structural constraints, which has only one convolutional layer to fuse infrared and visible images. Different from other methods, our proposed model requires less training data and reference images and is more robust to the misalignment of a couple of images. More specifically, the infrared image and the visible image are first provided as inputs to a convolutional layer to extract the information that should be fused; then, all feature maps are concatenated together and fed into a convolutional layer with one channel to obtain the fused image; finally, a structural similarity loss between the fused image and the input infrared and visible images is computed to update the network parameters and eliminate the effects of pixel misalignment. Extensive experiments show the effectiveness of our proposed method on fusion of infrared and visible images with the performance that outperforms the state‐of‐the‐art methods.
Discovery of six new strongly magnetic white dwarfs in the 20 pc local population
Authors: Bagnulo Stefano , Landstreet John D.
Published: October 2020

The sample of white dwarfs included in the local 20 pc volume documents, fairly accurately, the total production of white dwarfs over roughly 10 Gyr of stellar evolution in this part of the Milky Way Galaxy. In this sample, we have been systematically searching for magnetic white dwarfs. Here we report the discovery of six new magnetic white dwarfs, with a field strength from a few MG to about 200 MG. Two of these stars show H lines that are split and polarised by the magnetic field. One star shows extremely weak spectral lines in intensity, to which highly polarised narrow features correspond. The three other stars have featureless flux spectra, but show continuum polarisation. These new discoveries support the view that at least 20% of all white dwarfs in the local 20 pc volume have magnetic fields, and they fully confirm the suspicion that magnetism is a common rather than a rare characteristic of white dwarfs. We discuss the level and the handedness of the continuum polarisation in the presence of a magnetic field in cool white dwarfs. We suggest that a magnetic field with a 15 MG longitudinal component produces 1% of continuum circular polarisation. We have also shown that the problem of cross-talk from linear to circular polarisation of the FORS2 instrument, used in our survey, represents an obstacle to accurate measurements of the circular polarisation of faint white dwarfs when the background is illuminated, and polarised, by the moon.
The binding properties of cementitious materials using circulating fluidized bed co-fired fly ash and pulverised coal fly ash
Authors: Lin Wei-Ting , Cheng An , Łach Michał , Miernik Krzysztof , Korniejenko Kinga
Published: October 2020

This study aims to investigate the binding properties of co-fired fly ash (CFFA) in paste and mortar specimens. Paste specimens containing various CFFA proportions (25%, 50%, 75%, 100% by weight of cement) were conducted and evaluated using setting time tests, water demand tests and compressive strength tests. Mortar specimens containing various CFFA and Pulverised coal fly ash (PCFA) proportions (10%, 20%, 30% by weight of cement) were also conducted and compared with regard to flowability and compressive strength. The test results indicated that the water demand increased as the amount of CFFA replacement increased on the flow level at 110±3%; this is due to the higher ignition loss (L.O.I.). Higher L.O.I. values mean that there are more unburned carbon particles in the CFFA and that most of these carbon particles are porous. The compressive strength of mortar specimens decreased as the amount of CFFA replacement increased. Compared to the chemical compositions of cement (C3S, C2S), the main components of CFFA (Ca(OH)2, CaCO3, CaO) have lower crystalline strength and compactness. Therefore, the higher amount of CFFA replacement would inevitably cause a reduction of the cement contents of specimens, thereby reducing the compressive strength of the mortar specimens. Thus, an appropriate amount of superplasticiser and CFFA replacement in the mixture is useful with regard to the binding properties of cementitious materials.
The influence of alkaline activator concentration on the apparent activation energy of alkali-activated materials
Authors: Mierzwiński Dariusz , Walter Janusz , Olkiewicz Piotr
Published: October 2020

The aim of this article is to analyse the changes of apparent activation energy (Ea) of alkali-activated materials (AAM) at temperatures up to 100°C. Apparent activation energy (Ea) refers to the minimum amount of energy is required for the occurrence of reaction. The existing AAM research is based on assumptions about Portland cement (OPC). A number of studies have been conducted on the development of concrete strength depending on, inter alia, the duration of seasoning and the liquid to solid ratio (L/S). Based on the apparent activation energy and taking into account the effect of time and temperature at the same time, the physical and mechanical properties of OPC can also be predicted. The influence of the activator on the solidification process should also be taken into account for alkali-activated materials. This article shows the effect of changes in the concentration of the alkaline solution used in the AAM process on activation energy. The synthesized AAM material uses a solution based on water glass, sodium hydroxide, sand and volatile ash from the ‘Skawina’ coal-fired power plant (located in Skawina, Lesser Poland). The chemical composition of the material used is classified as class F ash. The concentration of the alkaline solution was 8M, 10M, 12M and 14M. The described research method was based on the use of thermistors with a negative temperature factor. It enabled prediction of the physical and mechanical properties of the materials tested. The results clearly indicate that this method can be used to determine the activation energy of the AAM. However, when determining apparent activation energy (Ea), the time and activation temperature of the binding processes of these types of materials should be taken into consideration.
The immobilisation of heavy metals from sewage sludge ash in geopolymer mortars
Authors: Sitarz Mateusz , Zdeb Tomasz , Castro Gomes João , Grünhäuser Soares Erick , Hager Izabela
Published: October 2020

Sewage sludge is a semi-solid waste material created as a result of the sewage treatment of industrial or municipal wastewater. Because the laws and regulations of the European Union require not only a reduction in waste generation but also the preparation of waste for reuse and disposal, it is necessary to look for new methods of the application of sewage sludge as part of sustainable waste management. In this study, ash formed as a result of the combustion of sewage sludge from the sewage treatment plant in Płaszów, Krakow in a fluidised bed furnace at a temperature of around 800°C was used. Sewage sludge ash (SSA) contains over 30% SiO2 and approx. 10% Al2O3, which indicates potential applications in geopolymer materials. In this study, samples of geopolymer mortars with a binder containing sewage sludge ash as well as fly ash (FA) and ground granulated blast furnace slag (GGBFS) were prepared. The mechanical parameters were determined after 2, 7, 14, and 28 days. The results show that the sewage sludge ash-based geopolymer shows binding properties at ambient temperature and, depending on the presence of FA and/or GGBFS, the compressive strength varies from 5 to 45 MPa after 28 days. The aim of the research was also to determine the total content of heavy metals (Sb, As, Cr, Cd, Cu, Ni, Pb, Hg, Zn) in the raw materials used and their leachability from the structure of the hardened materials. Immobilisation of heavy metals is very promising. Based on the results of tests, it seems possible to use SSA in geopolymer materials, but not as the main component of the binder.
The effect of temperature on the mechanical properties of hybrid FRP bars applicable for the reinforcing of concrete structures
Authors: Ogrodowska Karolina , Łuszcz Karolina , Garbacz Andrzej
Published: October 2020

One of the most common causes of the deterioration of concrete structures is the corrosion of steel reinforcement. Reinforcement made from fiber reinforced polymers (FRP) is considered to be an attractive substitution for traditional reinforcement. The most popular FRP reinforcing bars are made of glass fibers. Basalt fiber reinforced polymer (BFRP) is a relatively new material for reinforcing bars. The main drawback of BFRP bars is their low modulus of elasticity. A new type of bar made from hybrid fiber reinforced polymer (HFRP) in which a proportion of the basalt fibers are replaced with carbon fibers can be considered as a solution to this issue; such a bar is presented in this work. The HFRP bars might be treated as a relatively simple modification to previously produced BFRP bars. A different technical characteristic of the fibre reinforced polymer makes the designing of structures with FRP reinforcement differ from conventional reinforced concrete design. Therefore, it is necessary to identify the differences and limitations of their use in concrete structures, taking into account their material and geometric features. Despite the predominance of FRP composites in such aspects as corrosion resistance, high tensile strength, and significant weight reductions of structures – it is necessary to consider the behavior of FRP composites at elevated temperatures. In this paper, the effect of temperature on the mechanical properties of FRP bars was investigated. Three types of FRP bar were tested: BFRP, HFRP in which 25% of basalt fibers were replaced with carbon fibers and nHFRP in which epoxy resin was additionally modified with a nanosilica admixture. The mechanical properties were determined using ASTM standard testing for transverse shear strength. The tests were performed at -20°C, +20°C, +80°C for three diameters of each types of bar.
Impact of admixtures used in underwater concrete on cement hydration process and rheological properties
Authors: Matuszek-Chmurowska Aneta , Kaleta-Jurowska Alina , Jurowski Krystian , Grzeszczyk Stefania
Published: October 2020

This paper presents test results of the impact of chemical admixtures used in the underwater concrete technology, i.e. a superplasticizer (SP), an anti-wash admixture (AWA) and SiO2 nano- particles (NP) on the cement hydration process, rheological properties and the setting time. The impact of admixtures was tested in combination and separately, with the use of microcalimetry, X-ray diffraction (XRD) and rheology. It was demonstrated that AWA and SP admixtures caused a delay of the hydration process, while the impact of SP was much greater. The above statement was also confirmed by results of rheological tests. Combined application of AWA, SP and NP causes even a larger delay of the hydration process and the increase of paste rheological parameters, with the impact of the superplasticizer particularly visible.
The modelling of the measuring point reproduction error for optical coordinate measuring machines
Authors: Harmatys Wiktor , Marxer Michael , Gąska Piotr , Gruza Maciej , Gąska Adam
Published: October 2020

Coordinate measuring machines (CMMs) are the most common measuring systems used for assessing the compliance of manufactured components with their geometrical specifications. Optical CMMs are currently gaining popularity as they enable fast and contactless measurement with accuracy almost as high as in case of tactile measurement. During the performing of measurement, the points at which the measurement is conducted are usually not exactly at the intended location, but due to different impacts (error sources), they are in the area surrounding this location. This paper presents a method for modelling the reproduction of point coordinates as probability ellipses geometrically limiting the area in which the actual measurement points may lie. Different mathematical algorithms for the description of these ellipses were examined and a discussion on the selection of the best method is presented in this paper.
Adverse impact of municipal solid waste transportation on collected stormwater biosolids quality
Authors: Rybicki Stanislaw M. , Krystkowiak Joanna
Published: October 2020

The objective of this paper was to identify possible specific contamination of stormwater biosolids, with a special emphasis on pollution associated with transportation of municipal solid wastes to the waste utilization plant. The study area for sampling includes two selected points of separate stormwater collection system in Cracow. Samples of stormwater and biosolids were collected during spring-summer-autumn season addressed towards rainy days to check the scope of the problem The results led to conclusion, whether the waste utilization plant impacts the stormwater quality, compared to the high-traffic road. The largest pollutants found in stormwater near the plant were nutrients (nitrogen, phosphorus) however general content of organic matter in biosolids collected in separated stormwater system also confirmed adverse impact of solid waste transportation on stormwater sludge (biosolids) quality.
Diagnostik und invasive Maßnahmen beim Thoraxtrauma
Authors: Obermaier Manuel , Katzenschlager Stephan , Schneider Niko R.E.
Published: October 2020

Das Thoraxtrauma ist ein komplexes Verletzungsmuster, dessen Diagnostik und Therapie einem Notfallteam alles abverlangen. Der Begriff beschreibt Verletzungen des Brustkorbs in allen Facetten – von der Prellmarke eines Sicherheitsgurtes bis zum tödlichen Überrolltrauma mit Quetschung oder Zerreißung der Thoraxorgane. Bei der Therapie können sonografische Diagnostik und invasive Notfalltechniken erforderlich werden, die dieser Beitrag darstellt.
Multiinfarktsyndrom nach Luftembolie bei Entfernung eines Zentralvenenkatheters
Authors: Wildfeuer Svenja , Standl Thomas
Published: October 2020

Die Entfernung eines zentralvenösen Katheters auf einer Normalstation führt bei einem 53-jährigen Patienten mit einem bis dato nicht bekannten Ventrikelseptumdefekt zu einer paradoxen Luftembolie. Der Patient wird reanimationspflichtig und erleidet ein Multiinfarktsyndrom mit verheerenden neurologischen Ausfällen. Dieser Beitrag zeigt die Pathogenese und die erforderlichen Maßnahmen zur Vermeidung der paradoxen Luftembolie auf.
Progress in metasurfaces based on Ge–Sb–Te phase-change materials
Authors: Meng Yun , Cao Tun , Long Yi
Published: October 2020

Recently, metasurfaces based on phase-change materials (PCMs) have attracted increasing attention due to the dramatic optical properties contrast between amorphous and crystalline states. The chalcogenide PCMs can be reversibly switched by electrical or optical pulses, offering tunability and reconfigurability for the metasurfaces. In this Perspective, the latest achievements and ongoing development in reconfigurable metasurfaces based on chalcogenide PCMs are presented, including the applications in nonlinear optics, anapole control, beam steering, perfect absorbers, and polaritons. This Perspective ends with perspectives for the growing demands of PCMs based on metasurfaces.
Quality control of 40S ribosome head assembly ensures scanning competence
Authors: Huang Haina , Ghalei Homa , Karbstein Katrin
Published: October 2020

During translation initiation, 40S ribosomes scan the mRNA until they encounter the start codon, where conformational changes produce a translation-competent 80S complex. Destabilizing the scanning complex results in misinitiation at non-AUG codons, demonstrating its importance for fidelity. Here, we use a combination of biochemical and genetic analyses to demonstrate that the ability of the nascent subunit to adopt the scanning complex is tested during assembly via structural mimicry. Specifically, formation of the 80S-like assembly intermediate, which structurally resembles scanning complexes, requires the correct folding of two rRNA elements in the subunit head and the proper positioning of the universally conserved head proteins Rps3, Rps15, Rps20, and Rps29. rRNA misfolding impairs the formation of 80S-like ribosomes, and bypass of individual checkpoints using cancer-associated mutations produces ribosomes defective in accurate start-site selection. Thus, the formation of 80S-like assembly intermediates is a quality control step that ensures scanning competence of the nascent subunit.
Function through absence: Active RNA exclusion from chromosomes leads to proper cell division
Authors: Teves Sheila S.
Published: October 2020

The dynamics and functional roles of chromatin-bound RNA during cell division are largely unexplored. In this issue, Sharp et al. (2020. J. Cell Biol.https://doi.org/10.1083/jcb.201910148) found that a mitosis-specific signal evicts RNA-bound SAF-A from chromosomes, and its absence leads to proper chromosome segregation.
Peierls-phase-induced topological semimetals in an optical lattice: Moving of Dirac points, anisotropy of Dirac cones, and hidden symmetry protection
Authors: Hou Jing-Min
Published: October 2020

We propose a square optical lattice in which some of neighbor hoppings have a Peierls phase. The Peierls phase makes the lattice have a special band structure and induces the existence of Dirac points in the Brillouin zone, which means that topological semimetals exist in the system. The Dirac points move with the change of the Peierls phase and the Dirac cones are anisotropic for some vales of the Peierls phase. The lattice has a novel hidden symmetry, which is a composite antiunitary symmetry composed of a translation operation, a sublattice exchange, a complex conjugation, and a local U(1) gauge transformation. We prove that the Dirac points are protected by the hidden symmetry and perfectly explain the moving of Dirac points with the change of the Peierls phase based on the hidden symmetry protection.
Multi-quasiparticle excitations and the impact of the high-j intruder orbital in the N = 51 93Mo nucleus *
Authors: Wang Hao , Ma Ke-Yan , Wu Yi-Heng , Lv Yi-Feng , Pan Hao-Nan , Lu Jing-Bin
Published: October 2020

The level structures of

Mo are investigated using Large Scale Shell Model calculations, and reasonable agreement is obtained between the experimental and calculated values. The calculated results show that the lower-lying states are mainly dominated by proton excitations from the

,

, and

orbitals into the higher orbitals across the Z = 38 or Z = 40 subshell closure. For the higher-spin states, multi-particle excitations, including the excitation of

neutrons across the N = 56 subshell closure into the high-j intruder

orbital, are essential. Moreover, the previously unknown spin-parity assignments of the six higher excited states in

Mo are inferred from the shell model calculations.
Towards gauge unified, supersymmetric hidden strong dynamics *
Authors: Chiang Cheng-Wei , Sun Sichun , Ye Fang
Published: October 2020

We consider a class of models with extra complex scalars that are charged under both the Standard Model and a hidden strongly coupled

gauge sector and discuss the scenarios in which the new scalars are identified as the messenger fields that mediate the spontaneously broken supersymmetries from the hidden sector to the visible sector. The new scalars are embedded into 5-plets and 10-plets of an

gauge group that potentially unifies the Standard Model gauge groups. The Higgs bosons remain as elementary particles. In the supersymmetrized version of this class of models, vector-like fermions whose left-handed components are superpartners of the new scalars are introduced. Owing to the hidden strong force, the new low-energy scalars hadronize before decaying and thus evade the common direct searches of the supersymmetric squarks. This can be seen as a gauge mediation scenario with the scalar messenger fields forming low-energy bound states. We also discuss the possibility that in the tower of bound states formed under hidden strong dynamics (of at least the TeV scale), there exist a dark matter candidate and the collider signatures (e.g. diphoton, diboson, or dijet) of models that may show up in the near future.
Point Cloud Registration Algorithm Based on Overlapping Region Extraction
Authors: Li Jun , Qian Fei , Chen Xianfu
Published: October 2020

During the process of the point cloud registration, the problem that the accuracy is not high is due to the unknown relative position of the multi-view point clouds and the diversity of the target structure. This paper proposes a point cloud registration method based on extracting overlapping regions to solve it. First of all, according to the characteristics of the target geometric structure, each point cloud is divided into blocks and the ESF multi-dimensional shape descriptors of each point cloud block are constructed, the region with the greatest similarity between the descriptors, namely the overlapping region between the point clouds. Then our algorithm uses the Super Four Point Fast Robust Matching (Super4PCS) algorithm to execute a coarse registration of point clouds in overlapping regions, the initial positions of the point clouds after the coarse registration are obtained according to the consistency constraints, and finally uses the iterative closest point algorithm (ICP) to precisely register the overlapping region and obtain the final point cloud model. Compared with traditional Super4PCS algorithm, the experimental results show that the method proposed in this paper effectively improves the accuracy and accelerates the process of point cloud registration.
The implementation of micro-service technology in the development of geohazard online analysis and evaluation
Authors: Tong Bin , Li Yuan , Yang Xudong , Fang Hao , Yin Chunrong , Qu Xueyan , Han Bing , Zhang Yanling
Published: October 2020

Improving the capability of geohazard data online analysis and evaluation for geohazard prevention and mitigation is the major developing trend of geohazard information service and relevant research. Making use of the information technologies to solve the technical challenges and difficulties encountered in geohazard big data processing and analysis is important to effectively improve the capacity of geohazard information service. By using the micro-service, one of the advanced information technology, this study proposed an technical solution for the construction of geohazard data online analysis and processing service, which was designed and constructed based on the working mechanism and procedure of the analysis. As an example, the geohazard online susceptibility analysis service was designed and developed. In the proposed technical solution, the online susceptibility analysis service was splitted into multiple operational-independent and also interconnected micro-services for the completion of the analytical process. The developments of each individual micro-service provide support for further revision, upgrade and expansion of the data analysis ultimization or model optimization. The propose of the technical solution further deepens the integration of geohazard research and information technology to improve the level and practical efficiency of geohazard information service leading by the advancement of information technology.
EL net: Ensemble Learning in end-to-end learning
Authors: Peng Yizhen
Published: October 2020

Kednell. et al. [1] propose a robust and real-time monocular six degree of freedom (6-DOF) relocalization system which uses the end-to-end method to regress the 6-DOF pose in the RGB image. However, when the scenes change, PoseNet has huge variance. Ensemble learning can deal with this problem. We propose to use a new end to end camera relocalization method which combines the ensemble learning with PoseNet. In this model we modify the structure of PoseNet and get several different weak models. After that we train these different models and then use ensemble learning to do them together. Experiments show the effectiveness of ensemble learning, compared to previous PoseNet, using ensemble learning can get better result.
Service Chaining Security Based on Blockchain
Authors: Sun Ligen
Published: October 2020

The SDN (Software Defined Networking) service chaining can take advantage of the separation of control and forwarding in the SDN network, centrally manage and coordinate various physical and virtual resources to dynamically meet users’ complex network service needs. At present, most researches on SDN service chaining are about the service chaining protocol and composition structure, service chaining mapping and service chaining strategy description. However, there is no traceable data storage method for the stability of the performance of the service nodes. This paper proposes to use blockchain technology to ensure the reliable traceability of the service chaining data. Meanwhile, in order to improve the retrieval efficiency, this paper designs and implements the combination of virtual chain and Bloom filter, and through the design of smart contract to achieve the query rate of 584.7KB/s under the condition of using blockchain. Besides, the system can save 28.7% of the retrieval time in the case of a large number of service chaining data storage. These experimental results prove that the system design can be well applied in the service chaining scenario.
Infrared Pedestrian Detection Based on Attention Mechanism
Authors: Zhu Yaling , Yang Jungang , Deng Xinpu , Xiao Chao , An Wei
Published: October 2020

Pedestrian detection is one of the key technologies in computer vision, and plays an important role in surveillance and automatic driving. Compared with visible cameras, infrared cameras are more suitable for all-weather and all-day work. Recently, a number of methods have been proposed for infrared pedestrian detection, but cannot achieve a satisfactory performance in the case of small pedestrians. In this paper, we propose an improved RefineDet algorithm to solve the aforementioned problem. First, the aspect ratio in our method is modified to the range of an average person. Second, an attention mechanism is introduced to address the small spatial size of pedestrian. In addition, we develop a new dataset which includes small pedestrian for performance evaluation. Experiments demonstrated that our method can achieve a superior performance as compared to SSD and RefinDet methods.
Edge to Cloud End to End Solution of Visual Based Gun Detection
Authors: Yao Qi , Tan Weijun , Liu Jingfeng , Qi Delong
Published: October 2020

There are over a half million cases of gun violence globally every year. State of the art video surveillance requires human to watch the video footage to monitor gun violence. In this paper, we present an AI based edge to cloud solution appropriate for smart surveillance and control. Firstly, we build the key training dataset by harvesting the publicly available videos and movies. Then we design three deep convolution neural networks (CNNs) models, there are two models running on the edge device, which is a video camera, and the third one runs on the cloud. By distributing these three models into edge and cloud, we are able to achieve a good gun detection system that can be deployed in real life.
Range Query in Blockchain-based Data Sharing Model for Electronic Medical Records
Authors: Li Jingwen , Dun Wenlong
Published: October 2020

The data sharing of electronic medical records (EMRs) has great positive significance for research on disease and epidemic prevention. Recently, blockchain-based EMRs storing and sharing schemes have brought many benefits. Nevertheless, the existing medical data sharing solutions cannot fully meet the query requirements in multi-user scenarios where data users with different identities have different needs for data usage. In this paper, we propose a block construction method for storing EMRs. We combine the characteristics of the Merkle tree and prefix dictionary tree in the block to reduce the time consumption of queries in the block. Besides, the block header is identified by four attributes, namely hospital ID, Department ID, disease type, and time period. According to the query conditions, the block where the requested data is located is quickly found. In the blockchain-based data sharing model of EMRs, data requesters with different identities can make combined queries with multiple conditions according to their own needs, and then the block and transactions in the block are located accurately. In conclusion, we are the first to build the block based on disease types and our model supports more flexible combined queries with multiple conditions.
Linear Regression from Uncertain Data and its Applications to Housing Price Prediction
Authors: Gao Shijian
Published: October 2020

Most of the figures we get in our daily life are imprecise, a person’s height is an approximation. Uncertain data is usually represented by many values around it in a limited region with probability density function. This paper first defines the uncertain data, and then proposes a linear regression algorithm based on the uncertain data. In order to verify the rationality, correctness and effectiveness of the algorithm, many experiments were carried out.
Improved Metric Factorization Recommendation Algorithm Based on Social Networks and Implicit Feedback
Authors: Wang Bilin , Han Jiaxin , Cuan Ying
Published: October 2020

The Metric Factorization algorithm solves the problem of the suboptimal solution caused by the inner product of the traditional matrix factorization algorithm. Although the basic metric factorization model has achieved good results in rating prediction and item ranking tasks, the algorithm ignores the role of implicit feedback and user social information. Considering the social relationship and implicit feedback information between users, this paper improves the basic metric factor Factorization algorithm, and proposes an improved metric factorization recommendation algorithm based on social networks and implicit feedback. We do rating prediction tasks on the Filmtrust and Last.FM datasets, experimental results show that the improved algorithm can further improve the accuracy of prediction.
Topological Data Analysis In Text Classification Based On Word Embedding And TF-IDF
Authors: Wen Xiaoyang
Published: October 2020

As a fresh and rapidly-developing method in data science, topological data analysis (TDA) offers a new set of ways to look at data and derive features out of high-dimensional models with topological and geometric tools. In this paper, the author briefly introduces the topological concepts that are involved several researches, then compares and examines different methods of extraction of topological features from the texts. The result shows that these topological tools provide some additional features of the document that are not detected by using the original methods. In the experiment, adding these topological features to the usual text mining tools results in improvement of prediction accuracy (as much as 5%). However, as expected, these topological features alone are not sufficient to classify text documents. Future experiments and discussions need to be conducted to determine whether these methods could be combined to make better classifications.
Research Progress and Prospects of Single-Layer 2D Materials Xenes
Authors: Nie Chen
Published: October 2020

Xenes, as a series of single-layer two-dimensional (2D) materials, present emerging properties in biological, electronics, medical and other relevant fields. This review introduces seven main Xenes materials (silicene, phosphorene, borophene, antimonene, stanene, germanene and bimetallene) demonstrating higher conductivity and flexibility and describes their current research works and new findings. Besides, current challenges such as those in stability and quality are concluded, and a prospective view on development of 2D Xenes materials in the future is brought out.
Failure Analysis of Computer Backplane Burning Down
Authors: Zhang Jiyuan
Published: October 2020

The bottom plate burned out during the computer power-on detection process. This was analyzed. Firstly, the fault tree of the bottom plate was built and analyzed. Then a fault tree is established for the problem of capacitor short-circuit failure, and finally the possibility of capacitor problem is eliminated. After analysis, it is concluded that the cause of the burning of the bottom plate is the presence of foreign objects in the chassis. In the process of random vibration, foreign objects may be short-circuited to the power supply, resulting in a short circuit of the bottom plate, which may cause burnout. The power supply has an overcurrent protection mechanism, but the protection mechanism is that the power supply reduces the voltage output in the event of an overcurrent, so even if a short circuit occurs, the power supply will still output current, resulting in a burnout failure.
The Application of Logistic Model in COVID-19
Authors: Wang Zhongyu , Shi Yuanhang , Xie Jiakun
Published: October 2020

COVID-19 began to break out in China in early 2020, characterized by rapid transmission and a high fatality rate. In the face of the outbreak, it is particularly important and urgent to predict the number of infections in each region. Even now, some countries are still in the early stages of an outbreak. The existing traditional mechanistic models such as SIR have a high demand for data. For example, parameters such as exit rate need a large number of data to ensure the accuracy of the model; otherwise, the prediction effect is poor, while the models or algorithms related to artificial intelligence have a higher demand for data. Moreover, both of them have a large amount of work to solve, which has poor effect on the prediction of early epidemic prevention and control. The problem of epidemic situation prediction in the absence of data urgently needs to be solved. After data preprocessing, this paper used the Logistic model (the growth retardation model) to predict the number of infections of China. Meanwhile, error analysis and stability analysis were carried out, and the data of Italy were used for checking the universality of the model. The results show that the Logistic model is easy to be solved, has good stability and accuracy, and is suitable for early prediction of COVID-19.
Guide Circle-based Improved Ant Colony Algorithm
Authors: Huang Chen , Gao Zhengzhong , Chen Junjun , Zhou Luyao , Lu Zhanming , Qu Qifei
Published: October 2020

In order to solve the path planning problem of autonomous mobile robots in an unknown environment, the traditional ant colony algorithm and the guide circle algorithm were combined, and an improved ant colony algorithm based on the guide circle was proposed. In terms of local path planning, the guide circle algorithm is used to avoid obstacles, which effectively solved the problem of unstable path planning ability in narrow spaces. In the aspect of global path planning, the concept of safety index circle is introduced according to the length between robot and obstacle, and partial heuristic information of ant colony algorithm is improved, so as to avoid the traditional ant colony algorithm falling into local optimal. It is verified by simulation experiments that the improved algorithm has a stronger global search capability, faster convergence speed, and enhanced path planning capability.
A method for single frame detection of infrared dim small target in complex background
Authors: Xu Yongli , Wang Weihua
Published: October 2020

In order to solve the problem of high false alarm rate caused by strong disturbance (the ground objects, uncertain strong noise) in complex background, we propose a novel algorithm based on density peaks searching and improved region growing. Initially, density peaks searching is employed to select the candidate targets quickly; then, improved region growing with introducing the relative local contrast and the local gray average is used to extract the features of candidate targets; finally, an adaptive threshold is applied to extract real targets. Experimental results on two real sequences show that the proposed algorithm has a better effectiveness against existing algorithms.
Research on the Economic Effect of “Polar Silk Road” on China and Arctic Countries Based on GTAP Model
Authors: Guan Xiaoguang , Li Zhenfu , Chen Zhuo , Ding Chaojun
Published: October 2020

The accelerated melting of sea ice in the Arctic makes the potential value of the Arctic increasingly significant. The exploitation and utilization of the “Polar Silk Road” has important influence on the economic cooperation between China and the Arctic countries along the “Polar Silk Road”. This paper uses GTAP model to simulate and analyze the economic and trade impact of the “Polar Silk Road” on the Arctic countries along the “Polar Silk Road” and China. The results show that the construction of “Polar Silk Road” will have a positive impact on the import and export trade between China and Canada, USA and some Nordic countries, and the GDP and trade structure within the region. China should seize the opportunity to expand the width of “Polar Silk Road” and and further promote the construction of the “Polar Silk Road”.
An Improved Adaptive Window Stereo Matching Algorithm
Authors: Qiao Wenbo , Xu Yuanping , Zhang Chaolong , Xu Zhijie , Huang Jian , Xie Pan , Lu Jun
Published: October 2020

In order to solve the problem that the existing adaptive window stereo matching algorithms have insufficient feature extraction in low-texture regions, resulting in low matching accuracy. An adaptive window stereo matching algorithm based on the gradient is proposed. Firstly, the Sobel operator is used to extract the gradient value of each pixel in the image. Then, each pixel is divided into high, medium and low texture regions according to the gradient value. Next, different arm length thresholds are assigned to different region pixels, and matching windows are generated dynamically according to arm length and color threshold. Finally, the pixels closer to the center of the window are given higher weights by generating windows several times. It solves the problem that the stereo matching algorithm can not select a matching window dynamically. Experimental results on Middlebury dataset show that the proposed method improves the matching accuracy by 5.5% compared with the latest adaptive window stereo matching algorithm.
An Algorithm Combining the Branch-Cut Method and Rhombus Phase Unwrapping Algorithm
Authors: Jiang Han , Xu Yuanping , Zhang Chaolong , Xu Zhijie , Huang Jian , Tan Hailong , Lu Jun
Published: October 2020

In order to solve the problem that the wrapped phase cannot be unwrapped effectively, this paper proposes an algorithm combining the branch-cut method and rhombus phase unwrapping algorithm for unwrap phase. The algorithm combines the advantages of the two methods, at first, the Goldstein’s branch-cut method is used to find the residual points in the wrapping phase, then the rhombus phase unwrapping algorithm is used to unwrap the non-residual area phase, finally the phase of the residual area is obtained by using the cubic spline interpolation method, so as to ensure that the phase of each pixel can be unwrapped smoothly. The simulation results verify the feasibility and effectiveness of the algorithm, the combined phase unwrapping algorithm can effectively reduce the line and island phenomenon.
A Summary of analysis and application research on the spatial distribution of POI data based on urban service industry
Authors: Zhu Li , Wang Lu , Li Xiaoling , Zhang Lei
Published: October 2020

Data mining and data analysis based on POI data of urban service industry has gradually become the research trend of urban spatial layout. In the present study, many scholars use different research methods to analyze the agglomeration characteristics and development trend of urban service industry from multiple perspectives. This article combines POI data analysis methods and application fields to summarize the relevant research of urban service industry POI data analysis and application and summarizes the representative research methods of POI data analysis, and compares the characteristics of each method, and then the development trend of POI data mining, analysis and application in urban service industry is prospected.
Research on Key Technologies of Smart Logistics Dynamic Positioning Based on NB-IOT
Authors: Liao Yuanyuan , Liu Shuxian
Published: October 2020

This study takes the large-scale freight yard in The free trade zone of Xinjiang and cargo reloading in international railway transit as the prototype scene, and takes NB-IoT network as the core to realize dynamic positioning electronic tags for people, vehicles and containers through Beidou positioning module and RTK technology.Finally, the positioning information will be transmitted to the command center through integrated NB-IoT communication function, and the three-dimensional simulation of the freight yard will be realized by using Threejs to build the intelligent logistics cargo dynamic real-time positioning system with the advantages of low power consumption, low cost, wide and deep coverage, massive connectivity, and precise positioning, so as to realize the role of reducing cost and improving logistics efficiency in intelligent logistics.