bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimised multi‐hypothesis tracking algorithm based on the two‐dimensional constraints and manoeuvre detection
Authors: Yao Yuan , Shang Juan , Wang Qi
Published: October 2019

With the increase of target mobility and environment complexity, highly reliable single‐period statistical judgments become more and more difficult. The multiple hypothesis tracking (MHT) algorithm is a method based on delay logic, and can effectively solve the problem of data association in the course of tracking. However, the number of hypotheses generated by the MHT algorithm is exponentially related to the false alarm rate and the number of targets. Therefore, the hypotheses reduction techniques are required for the implementation of the algorithm. The N ‐scan‐back method and K ‐best method are often used. On the basis of understanding the K ‐Best method and the N ‐Scan‐back method, this study proposes the two‐dimensional constraints by the K ‐Best method and the N ‐Scan‐back method, and besides adds the target manoeuvre detection method to jointly manage the hypotheses based on the mean of the filter residual. According to the manoeuvre detection results, the optimised MHT algorithm can adjust the likelihood probability calculation model of the plot‐track association and the posterior probability calculation model of the hypothetical branch track, and shorten the decision depth N in the N ‐Scan‐back method. Through simulation, it is proved that the optimised algorithm can reduce the calculation amount and improve the tracking accuracy.
Perspektiven für junge Ärztinnen und Ärzte in der Infektiologie
Authors: Raspe M. , Rolling T. , Leisse C. , Fischer J. , Lehmann C.
Published: October 2019

Die Infektiologie ist ein Querschnittsfach mit Verbindungen zu vielen medizinischen Disziplinen und bietet interessierten Ärztinnen und Ärzten eine Vielzahl von interessanten Betätigungsfeldern. Das Spektrum umfasst sowohl die ambulante und stationäre Patientenversorgung als auch grundlagenorientierte, klinische und epidemiologische Forschung. Der Bedarf an infektiologisch weitergebildeten Ärztinnen und Ärzten steigt, sodass die Berufsaussichten als sehr gut einzuschätzen sind. Die Vereinbarkeit von Beruf und Familie in der Infektiologie ist vergleichsweise günstig. Mit diesem Artikel wollen wir bei jungen Kolleginnen und Kollegen Interesse an diesem vielseitigen und spannenden Querschnittsbereich wecken und Berufsperspektiven aufzeigen. Daten aus einer Mitgliederbefragung der Deutschen Gesellschaft für Infektiologie e. V. geben Einblicke, in welchen Bereichen und mit welchen Tätigkeitsschwerpunkten Infektiologen heute überwiegend tätig sind.
Neue Zweifel
Authors: Rieke Burkhard
Published: October 2019

Die WHO hat 2013 eine Positionsbestimmung zur Gelbfieberimpfung veröffentlicht 1, die einerseits, außer in einzelnen definierten Sonderfällen, von einer lebenslangen Schutzwirkung ausgeht, und andererseits alle Länder mit Gelbfiebervorkommen auffordert, die exponierte Bevölkerung zu impfen. Grundlage dieser Annahme für eine Langzeitschutzwirkung war unter anderem, dass unter den damals bekannten 12 Fällen von Impfdurchbruch eine lange zurückliegende Impfung als Risikofaktor nicht erkennbar war.
Marketing – strategisch agieren statt resigniert
reagieren
Authors: Kernke Sylvia E.
Published: October 2019

Ein strategisches Praxismarketing ermöglicht es Arztpraxen, nicht einfach nur
mehr Patienten zu bekommen, sondern eine andere Patientenklientel zu
erschließen. Ein wichtiger Faktor für wirtschaftlichen Erfolg. Um im
Zukunftsmarkt Gesundheit herauszustechen, müssen Praxen ihre Individualität
herausstellen und diese auf allen Ebenen des Marketings ihren Patienten
kommunizieren.
How do cancer care services in Australia take care of their patients when they require emergency care? We need more evidence
Authors: Button Elise , Northfield Sarah , Smith Michael , Wyld David , Nasato Gillian , Yates Patsy
Published: October 2019

A letter to the editor on cancer patients accessing emergency care.
Whole-exome sequencing of cervical carcinomas identifies activating ERBB2 and PIK3CA mutations as targets for combination therapy
Authors: Zammataro Luca , Lopez Salvatore , Bellone Stefania , Pettinella Francesca , Bonazzoli Elena , Perrone Emanuele , Zhao Siming , Menderes Gulden , Altwerger Gary , Han Chanhee , Zeybek Burak , Bianchi Anna , Manzano Aranzazu , Manara Paola , Cocco Emiliano , Buza Natalia , Hui Pei , Wong Serena , Ravaggi Antonella , Bignotti Eliana , Romani Chiara , Todeschini Paola , Zanotti Laura , Odicino Franco , Pecorelli Sergio , Donzelli Carla , Ardighieri Laura , Angioli Roberto , Raspagliesi Francesco , Scambia Giovanni , Choi Jungmin , Dong Weilai , Bilguvar Kaya , Alexandrov Ludmil B. , Silasi Dan-Arin , Huang Gloria S. , Ratner Elena , Azodi Masoud , Schwartz Peter E. , Pirazzoli Valentina , Stiegler Amy L. , Boggon Titus J. , Lifton Richard P. , Schlessinger Joseph , Santin Alessandro D.
Published: October 2019

Significance

The development of novel, effective treatments for patients with advanced/recurrent cervical cancer remains an unmet medical need. Using whole-exome sequencing, we identified multiple genes with recurrent alterations in cervical cancer, including the ERBB2/PI3K/AKT/mTOR, apoptosis, chromatin remodeling, and cell cycle pathways. Using fully sequenced cell lines and xenografts, we found pan-HER (afatinib/neratinib) and PIK3CA (copanlisib) inhibitors to be active, but only transiently effective in controlling the in vivo growth of PIK3CA-mutated cervical tumor xenografts. In contrast, the combination of irreversible pan-HER kinase and PIK3CA inhibitors was highly synergistic and able to induce durable regression of xenografts harboring derangements in the ERBB2/PI3K/AKT/mTOR pathway in vivo. These findings suggest a large subset of cervical tumors (>70%) might benefit from existing ERBB2/PIK3CA/AKT/mTOR-targeted drugs.
Leptomycin B inhibits the proliferation, migration, and invasion of cultured gastric carcinoma cells
Authors: Zhu Hepan , Yang Yi , Wang Li , Xu Xiaobin , Wang Tingting , Qian Haoran
Published: October 2019

Chromosome region maintenance 1 (CRM1) plays a critical role in tumorigenesis and progression through modulating nuclear export of several proteins. However, the precise effects of CRM1 inhibitor on gastric carcinoma have not yet been illustrated. Here, we investigated the potential anti-cancer activities of leptomycin B, the most potent CRM1 antagonist, on cultured gastric carcinoma cells. Our findings demonstrate that CRM1 was highly expressed in four gastric carcinoma cell lines. Leptomycin B inhibited the viability of HGC-27 and AGS cells in a dose- and time-dependent pattern. Leptomycin B at the dose of 10 nM or 100 nM suppressed the migration and invasion of HGC-27 and AGS cells. Leptomycin B elevated the expressions of autophagy-related protein LC3-II and autophagy substrate p62. Moreover, leptomycin B enhanced the LC3-positive puncta formation in cells. Our data suggest that leptomycin B may exert an anti-cancer activity possibly through interfering autophagy function in gastric carcinoma cells.
Improved interfacial properties of HfGdON gate dielectric Ge MOS capacitor by optimizing Gd content*
Authors: Zhou Lin , Liu Lu , Deng Yu-Heng , Li Chun-Xia , Xu Jing-Ping
Published: October 2019

High-quality dielectric/Ge interface and low gate leakage current are crucial issues for high-performance nanoscaled Ge-based complementary metal–oxide–semiconductor (CMOS) device. In this paper, the interfacial and electrical properties of high-k HfGdON/LaTaON stacked gate dielectric Ge metal–oxide–semiconductor (MOS) capacitors with different gadolinium (Gd) contents are investigated. Experimental results show that when the controlling Gd content is a suitable value (e.g., ∼ 13.16%), excellent device performances can be achieved: low interface-state density (6.93 × 1011 cm−2 · eV−1), small flatband voltage (0.25 V), good capacitance–voltage behavior, small frequency dispersion, and low gate leakage current (2.29× 10−6 A/cm2 at V
g = V
fb + 1 V). These could be attributed to the repair of oxygen vacancies, the increase of conduction band offset, and the suppression of germanate and suboxide GeO
x
at/near the high k/Ge interface by doping suitable Gd into HfON.
Accelerate Bose–Einstein condensate by interaction*
Authors: Qin Jie-Li
Published: October 2019

In recent years, accelerating waves have attracted great research interests both due to their unique properties and tempting applications. Here we investigate the effect of the inter-particle interaction on accelerating of Bose–Einstein condensate (BEC). We show that spatially homogeneous interactions will have no accelerating effect on BEC regardless of the interaction form (contact, dipole–dipole, or any others). But spatially inhomogeneous interactions may lead to an accelerating motion of the condensate. As an example, the accelerating dynamic of BEC under a spatially linear modulated contact interaction is studied in detail. It is found that such an interaction will accelerate the condensate with a time varying acceleration. Furthermore, an interaction engineering scheme to achieve constantly accelerating BEC is proposed and studied numerically. Numerical results suggest that this engineering scheme can also suppress profile changing of the condensate during its evolution, thus realize an accelerating profile-keeping matter wave packet. Our analysis also applies to optical waves with Kerr nonlinearity.
“Safer-by-design” synthesis of quantum dots in flow reactors
Authors: Akdas Tugce , Reiss Peter
Published: October 2019

After decades of research and commercialization efforts, colloidal semiconductor nanocrystals (quantum dots, QDs) are now on the verge of widespread application. Given the high demands of industrial production processes regarding process safety, cost efficiency and reproducibility of high quality products with high yield, continuous processes in flow reactors offer several advantages over the scale-up of a batch reaction. In this contribution, we discuss safety and operational issues for QD synthesis in micro- and millifluidic reactors using two case studies, i.e. synthesis of the two cadmium-free material systems, namely InP and CuInS2. While current “Safe-by-Design” (SbD) discussions concerning nanomaterials mainly focus on material types and their toxicity, thus on the functionality of the final products, we will assess the production process as such, considering all chemicals involved in the various stages. In our contribution we discuss synthesis and downstream processing of core QDs and thereby show that flow synthesis of QDs can result in a “greener” and safer production routine.
Toxicity removal by Daphinia similis assay in BTEX contaminated groundwater using nanometric TiO2/ZrO2 film and black light
Authors: Donaire Patricia P.R. , Assalin Marcia R. , Durán Nelson
Published: October 2019

In this work, a photocatalytic tubular reactor, with a nanometric TiO2/ZrO2 film, immobilized on glass substrate, was developed in order to investigate the degradation of volatile organic compounds, such as, benzene, toluene, ethylbenzene and xylene (BTEX ) in groundwater sample, under black light irradiation (365nm). The BTEX compound were determined by solid phase microextraction (SPME) technique and analyzed by Gas Chromatography - Ionization Flame Detection (CG-FID). The efficiency of photocatalytic process was evaluated by determination of BTEX removal and toxicity, using Daphnia similis as organism-test. The influence of the initial concentration of BTEX in the degradation process was investigated. The degradation process of sample groundwater contaminated with BTEX (145μg/L) from gasoline, resulted in 90% of efficiency after 120 minutes of treatment. The toxicity (EC50-48 h) of the groundwater sample to Daphnia similis was 14.1% (10.5-19.0) for untreated samples. After 30 min of treatment, the EC50-48 h was of 84.3 (71-100%). The benzene efficiency removal was reduced in function of the increase of its initial concentrations that observation was not found for the other compounds studied.
Synthesis, characterization and cytotoxicity of chitosan-coated Fe3O4 nanoparticles functionalized with ascorbic acid for biomedical applications
Authors: Lourenço I M , Pelegrino M T , Pieretti J C , Andrade G P , Cerchiaro G , Seabra A B
Published: October 2019

Iron oxide magnetic nanoparticles (Fe3O4 NPs) are used to drive and to promote sustained release of drugs in target sites. Biocompatibility and superparamagnetic behaviour are important features to the successful biomedical applications of Fe3O4 NPs. In this study, Fe3O4 NPs were synthesized by the co-precipitation method and coated with chitosan (CS) containing ascorbic acid (AA), allowing formation of Fe3O4@CS-AA NPs. The antioxidant AA was used as a drug model. The synthesized NPs were characterized by different techniques. The results showed the formation of spherical nanoparticles with average diameter of 67.22 ± 0.82 nm, at solid state, as analysed by atomic force microscopy (AFM). The NPs were found to have a superparamagnetic behaviour at room temperature, and the presence of CS-AA on the surface of Fe3O4 NPs did not affect the superparamagnetic behaviour of the nanoparticles. The in vitro AA release assay showed a sustained release of the model drug from Fe3O4@CS-AA NPs for at least 48 h. In addition, cytotoxicity assays for Fe3O4 NPs and Fe3O4@CS-AA NPs did not show significant toxicity towards mammary epithelium (MCF-10A) cell line after 24 h of incubation. This present study demonstrated the successful synthesis of superparamagnetic and biocompatible Fe3O4@CS-AA NPs, which are able to release the model drug in a sustained manner. Thus, this nanomaterial might act as a nanocarrier in target drug release.
OncoTherad: A New Nanobiological Response Modifier, its Toxicological and Anticancer Activities
Authors: Durán Nelson , Dias Queila C. , Fávaro Wagner J.
Published: October 2019

This study reports the effects of a promising therapeutic option for non-muscle invasive bladder cancer (NMIBC) based on OncoTherad intravesical immunotherapy in an appropriated animal model. OncoTherad is a nanostructured inorganic phosphate complex associated to glycosidic protein, which exhibits immunomodulatory and antitumor properties. Biochemical parameters in rats, mice and rabbits treated intravesically with OncoTherad at doses of 20-100 mg/kg, did not differed statistically from their respective controls, exhibiting no systemic toxic effects. All the target organs did not present inflammation and histopathological changes. NMIBC was induced by treating female Fischer 344 rats with N-methyl-N-nitrosourea (MNU). Bacillus Calmette-Guérin (BCG) were used as positive control in the animal models. The results demonstrated that animals treated with OncoTherad distinctly showed a significant histopathological recovery from the cancer state of animals (80%) when compared to BCG treatment. In addition, BCG and OncoTherad intravesical immunotherapies were able to restore TLR2 levels. However, OncoTherad increased of TLR4 levels when compared to BCG. Thus, the activation of TLR4 by Oncotherad was efficient in reducing urothelial neoplastic progression. All data are indicative that of OncoTherad is a feasible candidate for the NMIBC treatment.
Nanotoxicity and Dermal Application of Nanostructured Lipid Carrier Loaded with Hesperidin from Orange Residue
Authors: Durán Nelson , Costa Amanda F. , Stanisic Danijela , Bernardes Juliana S. , Tasic Ljubica
Published: October 2019

Flavonoids are a class of polyphenolic compounds that can be extracted from citrus fruits. Because of their features, they have been considered as new bullets in cancer therapy. Flavonoids present anti-oxidant, anti-inflammatory and anti-cancer properties and some studies are pointing that their higher intake involves lower risks of cancer. The nanostructured lipid carriers (NLC) are drug delivery systems composed from a mixture of solid and liquid lipids that increase physical stability and promote the sustained release of the drug. So, the main aim of this research was to combine the potential of the flavonoid as a natural anti-oxidant compound with the nanostructured lipid carriers to form an efficient system for flavonoid delivery into the cells. These NLC were prepared through high pressure homogenization technique and were evaluated in function of several standard properties. The samples exhibited good stability through time and temperature, with sizes of around 215 nm and zeta potentials of -35 mV during a period of 105 days. The encapsulation and the loading efficiency were respectively 96% and 2.25% up to 105 days of storage. In vitro release assays showed a burst process for NLC-L pointing to their shell structure with flavonoid situated in the contour of the particles. The cell viability tests showed that flavonoid, either free or loaded into NLC, did not present in vitro toxicity to the melanoma cells tested: A375, CHL01 and SKMEL147 through 3-(4,5-dimethyiltiazol-2yl)-2,5-diphenyl tetrazolium bromide (MTT), neutral red and crystal violet assays. Hesperidin at 45 μmol L−1 was able to reduce significantly the radical forming up to 92.58 ± 0.82% in DPPH assay. On the other hand, the produced NLC were applied in a skin lotion formulation, which showed a good stability and opened up a new application for the produced nanoparticles as in anti-aging and moisturizing cosmetics. Finally, the in vitro cytotoxicity tests were carried out using several human culture cells. The flavonoid loaded and empty nanocarriers have been used to treat the cells. All data suggested that, at the level studied, non-significant toxicities on cells were observed.
Methods for Assessing the Thermodynamic Characteristics of the Combustion Process Using the Indicator Diagram in Spark-Ignition Engines
Authors: Smolenskii V V , Smolenskaya N M
Published: October 2019

The paper deals with the evaluation of the thermodynamic characteristics of the combustion process according to the experimentally obtained indicator diagram of pressure in spark ignition engines. The proposed method allows to determine the main characteristics of the combustion process (change in internal energy, heat generation characteristic, speed and intensity of combustion processes in the flame front, volume of the burned mixture, volume of unburned mixture) using the experimental indicator diagram of pressure obtained for a spark ignition engine.
Classification of Cyber and Physical Systems of Industry 4.0
Authors: Zakoldaev D A , Gurjanov A V , Shukalov A V , Zharinov I O
Published: October 2019

The actual task is to create the classification system for cyber and physical technological equipment for smart factories of the Industry 4.0. Smart factories are a new type of production companies which work automatically. To project a smart factory they need to choose samples of cyber and physical systems of different purpose to unite them in automatic sections. To solve the choice task of production machine samples they need to create libraries of technical and tactical characteristics and its ontology description the base of which is the system to classify cyber and physical equipment. There is a classification scheme of industrial cyber and physical systems to work in a smart factory of item designing. The classification systems base is types of technological operations being realized in a company and also methods and technologies which the cyber and physical systems use. Cyber and physical systems functionality is described for mechanical treatment and assembly workshops of item designing company.
Technologies for Creating Geographic Information Resources for Monitoring the Socio-Ecological Conditions of Cities
Authors: Yeprintsev S A , Shekoyan S V , Lepeshkina L A , Voronin A A , Klevtsova M A
Published: October 2019

Geo-information resources have been developed for monitoring socio-ecological conditions (using the example of cities in Central Russia). The technologies of the developed GIS allow to take into account the variability of scale, the transformation of cartographic projections, changing the composition of the mapped objects, the formation of queries in numerous databases in real time, variations in the ways of displaying objects. The developed GIS system consists of hierarchically subordinate database sections and thematic cartographic tools reflecting the natural resource potential, the socio-economic and environmental-hygienic situation in the cities of Central Russia.
Modeling a Stress Condition of Ore Massif in the Process of Bauxite Deposits Development in the Mines of «Sevuralboksitruda»
Authors: Kosukhin N I , Sidorov D V , Gil L B
Published: October 2019

The publication examines the problems of concentrator of elevated tension formation in pillars and ore massif. The article presents the results of modeling the stress state of interchamber pillars and ore deposits, using specialized geomechanical software PRESS 3D URAL. In the process of numerical experiments, it was found that the increase of natural flexibility in pillars leads to a decrease of normal stresses in comparison with the variant of a stiff scheme. If interchamber pillar involves different varieties of ores, there is a redistribution of stress on the site with more stiff ores. The article shows that the stress state control of interchamber pillars and ore massif in conditions of OJSC «Sevuralboxitruda» can be achieved by drilling relief holes.
About Rational Using of the Controlling Longitudinal and Transverse Magnetic Fields at arc Welding and Surfacing
Authors: Razmyshlyaev Alexander D , Ahieieva Marina V , Lavrova Elena V
Published: October 2019

The use of the controlling longitudinal magnetic fields (LMF) and transverse magnetic fields (TMF) at submerged arc welding and surfacing by a wire is shown. Application both LMF and TMF at the induction optimal values of the magnetic fields allows increasing the electrode wire melting productivity (melting coefficient) at arc welding and surfacing on 20…30 %. However there are no publications comparing the efficiency of the controlling LMF and TMF use at submerged arc welding and surfacing by a wire. A depth and area of parent metal penetration zone considerably decrease at the use of both ferromagnetic and non-magnetic basic and welding materials at submerged arc welding and surfacing by a wire with act of LMF and TMF. The methods of induction components calculation that generate input devices of LMF and TMF in the welding bath zone are briefly described. This comparative analysis allows establishing the areas of rational use of controlling LMF and TMF at arc welding and surfacing, taking into account the magnetic properties of basic and welding materials.
Calibration Method and Experiment of in-Situ Radioactivity Measurement in Seawater Based on Monte Carlo Simulation
Authors: Zhang Y Y , Wu B W , Feng X D , Liu D Y , Zhang Y
Published: October 2019

Some research on the in-situ radioactivity measurement in seawater and development of underwater spectrometer using NaI(Tl) scintillation crystal are being carried out for the automatic and continuous monitoring in the marine environment. The gamma spectrometer must be efficiency calibrated for the detection of radionuclides in the seawater. For the problem of traditional experiments, a simulation model of in-situ radioactivity measurement in the seawater was established by using Monte Carlo statistical method. The model simulates the in-situ measurement environment of seawater and the characteristics of the underwater spectrometer developed by ourselves. By calculating the interaction between gamma-ray photons emitted by radionuclides in seawater and various atoms in seawater and the internal structures of the spectrometer, the marine detection efficiency of the underwater spectrometer developed was calculated and verified by the field experiments. The results show that this kind of non-experimental calibration method is effective and feasible for the underwater spectrometer and further research and experiments will continue.
A Small Traffic Sign Detection Algorithm Based on Modified SSD
Authors: Shan Hongxin , Zhu Wenxing
Published: October 2019

Traffic sign detection is an important part of many systems such as autonomous driving, driver safety and assistance. In this paper, the detection capability of SSD for small targets is analyzed and improved based on ssd_300 model. CSUST Chinese Traffic Sign Detection Benchmark (CCTSDB) dataset is used to train the model for Chinese road traffic conditions. The improved model was compared with ssd_300 model. The experimental results show that the mAP of the improved model on the test dataset achieves 0.85, which is 0.13 higher than ssd_300, and the algorithm can reach real-time detection. The improved model can effectively detect three categories of Chinese traffic signs and has strong robustness against various disturbances.
Artificial Intelligence’s Turn of Philosophy
Authors: Feng Tao
Published: October 2019

Artificial Intelligence’s turn of philosophy emerges because of the new crisis in philosophy. Philosophy should attach importance to technical thinking to supplement the deficiency of philosophical thinking. Philosophy’s “language turn” and “AI turn” are based on language. The paradigm shift is also that we can define “intelligence”, “consciousness” and “subjectivity” in the way of conventionalism. With the rapid development of AI technology, we also need to guide the development of technology with “Aesthetic reason” and promote the harmony between science and technology and art, human and nature.
Design and Implementation of Software Simulation System for Dental Orthodontic Robot
Authors: Zhou Chuanhong , Pan Shiyu , Zhou Tao
Published: October 2019

With the development of society and the improvement of living standards, people’s pursuit of their own beautiful appearance is getting higher and higher, especially the passion for beautiful features. Therefore, the demand for dental orthodontic surgery is growing in daily life. However, due to the limitations of oral physiological structure, the orthodontic brackets designed in traditional orthodontic surgery are often not the optimal dental arch shape for patients. Therefore, a dental orthodontic software system that can interactively simulate a patient’s oral model is particularly important. In this paper, a software system of dental orthodontic robot which can simulate dental orthodontics was developed by using Blender secondary development technology combined with orthodontics and tooth extraction algorithm.
Fault Diagnosis Method of Photovoltaic Array Based on BP Neural Network
Authors: Wang Junjie , Wang Shan , Liu Haixiong , Hong Jianbo , Gao Dedong
Published: October 2019

Photovoltaic arrays are prone to various failures due to long-term work. In order to quickly and accurately diagnose the type of failure of the PV array and implement online monitoring of the PV array, this paper proposes the BP neural network for PV array fault diagnosis, and proposes a network search method when training BP neural network. And the K-cross-validation method is used to select the number of hidden layer nodes. The BP neural network fault diagnosis model designed and trained by this method is proved to have high precision.
Divide-and-Conquer CBS Design for Multi-Agent Path Finding in Large-scale Scenario
Authors: Chen Mengxia , Liu Yiming , Huang Hejiao
Published: October 2019

Multi-Agent Path Finding(MAPF) problem is intensively studied in theoretical computer science, robotics and so on. The key for MAPF problem is to plan a conflict-free path for each agent with different start and goal positions, and to minimize the cost of the paths.Conflict-Based Search(CBS) is one of the optimal algorithms, which can ensure that the optimal solution is obtained, in the case of small-scale maps and low number of agents. However, in many real-world multi-agent systems, the scale of the map is very large and the number of agents is more. In most cases, CBS is not applicable any more. Therefore, we develop Divide and Conquer CBS, called DC-CBS algorithm which divides large-scale map and the original problem into several smaller ones. For each subproblem, we use the CBS to get the optimal solution. The experimental results show that for the large-scale scenario, the DC-CBS algorithm can get the result more quickly and plan the paths for agents successfully. As for small-scale situation, the performance of DC-CBS is almost as good as that for CBS.
Document Segmentation Method Based on Style Feature Fusion
Authors: Liu Gang , Wang Kai , Liu Wangyang , Cheng Xu , Li Tao
Published: October 2019

Style crack refers to the position where the author’s identity changes in the article completed by multiple authors. This paper summarizes the current situation and theory of related fields at home and abroad, and proposes a multi-feature based document segmentation method for plagiarism detection. Seven text style features are used for style crack recognition. Through the result of feature extraction, the combination of multi-feature fusion and unsupervised machine learning algorithm is used to classify the features based on extraction, and the clustering algorithm is used to cluster the style features so as to find the location of style cracks. Experiments show that the method is effective and scientific, and achieves good results.
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices
Authors: Xia Tiancheng , Jiang Richard , Fu Yong Qing , Jin Nanlin
Published: October 2019

Automated in-vitro cell detection and counting have been a key theme for artificial and intelligent biological analysis such as biopsy, drug analysis and decease diagnosis. Along with the rapid development of microfluidics and lab-on-chip technologies, in-vitro live cell analysis has been one of the critical tasks for both research and industry communities. However, it is a great challenge to obtain and then predict the precise information of live cells from numerous microscopic videos and images. In this paper, we investigated in-vitro detection of white blood cells using deep neural networks, and discussed how state-of-the-art machine learning techniques could fulfil the needs of medical diagnosis. The approach we used in this study was based on Faster Region-based Convolutional Neural Networks (Faster RCNNs), and a transfer learning process was applied to apply this technique to the microscopic detection of blood cells. Our experimental results demonstrated that fast and efficient analysis of blood cells via automated microscopic imaging can achieve much better accuracy and faster speed than the conventionally applied methods, implying a promising future of this technology to be applied to the microfluidic point-of-care medical devices.
Fusion of Deep Feature and Hand-Crafted Features for Terrain Recognition
Authors: Li Xue , Ma Xin , Song Peng
Published: October 2019

Terrain recognition is one of the key problems of mobile robots. It can help the robots understand the surrounding environment. With terrain prediction, the robots could realize autonomous navigation and path planning. This paper focuses on image feature selection for terrain recognition with visions. For terrain recognition tasks, feature is used to represent image information. Traditional visual features can be targeted to express the low-level information like color or texture. The deep feature is extracted by self-learning of neural network, containing richer semantic information than low-level features. There is a complementary relationship between the two. The efficiency and accuracy of terrain recognition is remarkably raised by the fusion of two above features. In the course of algorithm, combination of the off-line training model and on-line recognition model is used to identify the terrain type of the sample, which is to ensure the real-time performance. The corresponding terrain dataset--SDUterrain is established. The algorithm achieves 96% or higher classification accuracy in the experiments based on the SDUterrain Dataset, which is much higher than the single feature classification algorithm.
Visual System for Tracking Specific Human Body Extraction of 3D Skeletal Points Based on Monocular
Authors: Xu Baopeng , Zhao Shuying
Published: October 2019

In this paper, we introduce the Extracting specific human 3D skeleton point system based on monocular tracking. The system mainly consists of two parts. The first part is the detection and tracking of specific human body. This article uses simple online and real time tracking with a deep association metric (DEEP SORT)[1] algorithm, which is simple but effective, and meets system requirements in terms of efficiency and real-time. The second part is to extract the 3D bone points for the specific target of the tracking. We refer to Xingyi Zhou’s research work[2] in this area. Utilizing the correlation between 2D pose and depth estimation subtasks, the training is end-to-end, and the algorithm introduces 3D geometric constraints to normalize 3D pose prediction, which is effective without ground truth value depth labels. In this paper, the two methods are combined by improvement, and the Extracting specific human 3D bone point system based on monocular tracking is designed. It can realize the tracking of 3D skeletal points of specific targets. The system has high practical value in human-computer interaction, virtual reality and motion recognition.
Human Motion Trajectory Prediction in Human-Robot Collaborative Tasks
Authors: Li Shiqi , Wang Haipeng , Zhang Shuai , Wang Shuze , Han Ke
Published: October 2019

A method is introduced to predict human motion trajectory in the process of human-robot collaboration (HRC). In the method, the human-robot distances are assumed to be a Gaussian Process (GP). To achieve this, a human-robot handover task is conducted by a human and a collaborative robot, while the positions of the human hand and the robot end-effector are recorded. Some of the recorded data are used for the Gaussian Process Regression (GPR), a GP and a 95% confidence convince about the GP are obtained by the GPR. Experimental results show that about 80% of the testing data are included in the 95% confidence convince. The method and results here are useful to other human-robot collaborative tasks where existing human-robot relative motions, especially, the method is able to predict the human motion trajectory with varying initial position of the human hand and varying locations of the robot end-effector.
Vibration Characteristics of Elastic Metamaterial Rod
Authors: Zheng Ziyue , Shu Haisheng , Shuowei A , Mu Di , Zhao Lei , Su Yuqiang
Published: October 2019

This paper investigates the free vibration and steady forced vibration of elastic metamaterial rods. Firstly, the elastic metamaterial rod is equivalent to the effective medium rod based on the effective medium theory. Then the free vibration and steady forced vibration method of the effective medium rod are established from the classical theory, and with this method we can explored the difference characteristics between the elastic metamaterial rod and the natural media rods. The results show that the effective medium rod has some strange phenomenon such as the same shape of different natural frequencies, the accumulation of natural frequencies near the lower band and the loss of natural frequency. This work is expected to help the vibration control of the elastic metamaterial for finite structure.
Prismatic Species of Snelson’s Tensegrity Structure
Authors: Vumiliya Angelo , Luo Ani , Liu Heping , González Andrés
Published: October 2019

Snelson’s prisms are regular minimal tensegrity structures. They are symmetric according to the rotation axis and have two prisms in two parallel planes. These planes, separated by a certain height, have a finite number of vertices related to the number of bars. Evidently, by changing the position of the upper nodes of bars results in a new stable configuration. This paper demonstrates the possibility to obtain different species through one set and identify the structures’ class according to their species.
Hydrodynamic Analysis and Structural Optimization of an Underwater Robot
Authors: Liu Zhimin , Zhou Xiaozhong
Published: October 2019

BYSQ-2 is an amphibious spherical exploring robot which can move flexibly in water and on land, it has good water pressure resistance and can perform a rotational motion with a zero degree turn radius. But the actual experiment results show the shortcoming of the robot is the low maximum surge speed. The main objective in this paper is to improve the maximum surge speed and alleviate the heavy pendulum’s oscillation. Firstly, the hydrodynamic coupling under different structural parameters and propeller working states is analyzed by using CFD method, the influence of structure parameters and propeller rotation speed on thrust and water resistance are summarized, based on the optimal structural parameters, the new generation robot with better performance is designed. The simulation and experiment results show the validity of the new design scheme.
The Numerical Analysis of Hydrodynamic Characteristics of Ducted Propeller by using SST k-ω Model
Authors: Yue Wang , Wanlong Ren , Gang Liu , Yuanming Zhang , Zongrui Hao
Published: October 2019

Hydrodynamic characteristics of the four-blade ducted propeller are numerically simulated by CFD method. The hydrodynamic performance of the propeller is analyzed by the SST k-ω Model, including the external characteristic parameters such as thrust and torque. The forward velocity at the propeller surface of the ducted propeller, the distribution of the induced velocity along the propeller surface, and the relationship between the propeller thrust and the surrounding velocity field are analyzed. The pressure distribution on the inner wall of the conduct is complicated. The pressure in the front half of the inner wall is small and large in the rear half. Axial, radial and tangential velocity distributions of sections at different distances from the paddle surface are calculated. The velocities on the dorsal side of the propellers are significantly higher than that on the foliar side and lower near the conduit.
Numerical Simulation on Oil Spill at Different Positions on the Back Surface of a Blunt Body
Authors: Xu Juan , Hao Zongrui , Wang Yue , Liu Jin , Liu Gang , Zhang Yuanming
Published: October 2019

The movement of oil spilled from the back surface of an underwater blunt body is influenced by the flow around the blunt body, so the trajectory of the oil movement changes with the vortex behind the blunt body. A numerical modelling using VOF model is established to simulate the oil spill process. Three typical spilling points at the top, middle, and bottom of the back surface of the blunt body, respectively, are simulated at different leaking rates. Their vorticity fields and the oil trajectories are analyzed. The results show that the spill from the top position generates the smallest oil distribution on the sea surface, while that from the bottom position leads to the largest one.
Seismic Effect Research of Seismic Measures for Beam Bridge under Different Earthquakes
Authors: Zhang Yu-min , Weng Guang-yuan , Shi Yun , Dai Jian-bo
Published: October 2019

Collision, collapse and expansion device damage are very likely to occur in bridge structures under large earthquakes. Earthquake waves with exceeding probability of 63.2%, 10%, and 2% in 100 years, as well as the Northridge earthquake and Kobe earthquake have been used to analyze the seismic response under earthquakes. The result shows that collision and collapse damage of bridge can be effectively controlled by the seismic measures. When the peak acceleration of earthquake is large and the control ability of the limit device to the excessive displacement of the structure is insufficient, the unseating prevention device can effectively make up the deficiency of the limit device to limit the excessive displacement of bridge.
Phase space trajectories generated under coupling between a dynamic system and a thermal reservoir
Authors: Sinha Dhiraj
Published: October 2019

We analyze the phase space trajectories generated under coupling between a dynamic system and a thermal reservoir which generates a fluctuating as well as dissipative force field. We argue that the phase space trajectory of particles associated with intermediate equilibrium states under heat transfer possess a symmetric form, while the corresponding trajectory is asymmetric in energy transfer as work. The new perspective can help in developing a closed form expression of heat and work at microscopic dimensions with a few degrees of freedom. We also present a novel mathematical model of thermal reservoir as a dynamic system described using a transfer function comprising of a set of zeros. It addresses the theoretical weaknesses of current models of a thermal reservoir comprising of a collection of harmonic oscillators.
Early warning tropical forest loss alerts in Peru using Landsat
Authors: Vargas Christian , Montalban Joselyn , Leon Andrés Alejandro
Published: October 2019

Since March 16, 2017, the National Forest Conservation Program for Climate Change Mitigation (PNCBMCC) of Peru’s Ministry of the Environment (MINAM) has been implementing a methodology to detect early warning alerts of humid tropical forest cover loss in Peru using data from the Landsat 7 and 8 satellites. The method uses Direct Spectral Unmixing (DSU) to detect forest loss as small as 25% of a pixel. Between March 16 and December 25 of 2017, 500 Landsat images have been used to detect 137,143 hectares of humid tropical forest cover loss, including deforestation for agricultural expansion and illegal or informal extractive activities, such as the opening of roads for selective logging. Natural forest loss was also detected, produced by windstorms and landslides in mountainous areas, among others. The results were verified with high-resolution satellite images and the accuracy was evaluated using a stratified random sample, showing a high level of both user’s and producer’s accuracy. The early warning alerts are distributed and available through the Geobosques platform (http://geobosques.minam.gob.pe).
Spatial and temporal variation of offshore wind power and its value along the Central California Coast
Authors: Wang Yi-Hui , Walter Ryan K , White Crow , Kehrli Matthew D , Hamilton Stephen F , Soper Patrick H , Ruttenberg Benjamin I
Published: October 2019

The analysis of the spatiotemporal variability of wind power remains limited during the planning stage of an offshore wind farm. This study provides a framework to investigate how offshore wind power varies along the Central California Coast over diurnal and seasonal time scales, which is critical for reliability and functionality of the grid system. We find that offshore wind power in this region peaks during evening hours across all seasons and maximizes in spring and summer. The timing of peak offshore wind power production better aligns with that of peak demand across California than solar and land-based wind power production, highlighting its potential to fill the supply gap when demand is high and power production from other renewable energy sources is low. We further assess the value of offshore wind power using demand-based and wholesale market metrics. Both metrics indicate high potential value of offshore wind power over most areas in this region. Finally, we show that the estimate of power production is significantly biased when using mean wind speeds that do not account for temporal variability, leading to potentially inaccurate predictions about locations that are expected to produce the most power. These results reiterate the importance in considering spatiotemporal variability in wind power for accurately calculating the value of offshore wind development.
Dietary Menthol Attenuates Inflammation and Cardiac Remodeling After Myocardial Infarction via the Transient Receptor Potential Melastatin 8
Authors: Wang Qiang , Yang Yi , Chen Ken , Li De , Tang Bing , Peng Ke , Wang Zhen , Yang Ping , Yang Dachun , Yang Yongjian
Published: October 2019

BACKGROUND

Transient receptor potential melastatin subtype 8 (TRPM8) is a cold-sensing cation channel, mainly localized in the sensory neurons, which can be activated by menthol, a compound with a naturally cold sensation in mint. However, the effect of TRPM8 activation in inflammation and cardiac remodeling after myocardial infarction (MI) is not well defined.

METHODS

TRPM8 knockout (KO) mice (TRPM8−/−) and their wild-type littermates, aged 8 weeks, were randomly divided into sham and MI groups and were fed with chow or chow plus menthol.

RESULTS

Dietary menthol significantly attenuated MI injury, evidenced by decreased survival rates and plasma cardiac troponion I levels, reduced infarct size and cardiomyocytes, declined collagen deposition, and rescued cardiac function and hemodynamics. However, these effects of menthol disappeared when mice were lacking TRPM8. Furthermore, feeding of menthol ameliorated elevated expression of inflammatory cytokines and chemokines, and aggravated inflammation infiltration in the MI mice but not in TRPM8−/− mice. In addition, menthol treatment increased the release of calcitonin gene-related peptide (CGRP), which were absent in TRPM8−/− mice.

CONCLUSIONS

In conclusion, our results suggest that dietary menthol can protect against inflammation and cardiac remodeling after MI through activation of TRPM8.
The Hastings algorithm at fifty
Authors: Dunson D B , Johndrow J E
Published: October 2019

In a 1970 Biometrika paper, W. K. Hastings developed a broad class of Markov chain algorithms for sampling from probability distributions that are difficult to sample from directly. The algorithm draws a candidate value from a proposal distribution and accepts the candidate with a probability that can be computed using only the unnormalized density of the target distribution, allowing one to sample from distributions known only up to a constant of proportionality. The stationary distribution of the corresponding Markov chain is the target distribution one is attempting to sample from. The Hastings algorithm generalizes the Metropolis algorithm to allow a much broader class of proposal distributions instead of just symmetric cases. An important class of applications for the Hastings algorithm corresponds to sampling from Bayesian posterior distributions, which have densities given by a prior density multiplied by a likelihood function and divided by a normalizing constant equal to the marginal likelihood. The marginal likelihood is typically intractable, presenting a fundamental barrier to implementation in Bayesian statistics. This barrier can be overcome by Markov chain Monte Carlo sampling algorithms. Amazingly, even after 50 years, the majority of algorithms used in practice today involve the Hastings algorithm. This article provides a brief celebration of the continuing impact of this ingenious algorithm on the 50th anniversary of its publication.