bluuebunny/crossref_metadata_2025 huggingface dataset:
Veränderungen der Darm-Gehirn-Achse beim Reizdarmsyndrom –
Ein Update
Authors: Kühne Stephanie Gladys , Stengel Andreas
Published: October 2019

Das Reizdarmsyndrom (RDS) ist eine der häufigsten funktionellen Störungen.
Hierbei sind gastrointestinale Symptome wie abdominelle Schmerzen, Diarrhoe oder
Obstipation nicht ausreichend organopathologisch erklärbar. Dennoch wurden beim
RDS verschiedene Veränderungen im Bereich der Darm-Gehirn-Achse beschrieben,
welche pathogenetische, aber auch therapeutische Relevanz haben können. Der
vorliegende Artikel soll ein Update zum aktuellen Forschungsstand der
Veränderungen der Darm-Gehirn-Achse und potenzieller dort ansetzender
Therapieoptionen beim RDS geben.
Herausforderungen eines strukturierten Ausfallmanagements in einem regionalen Klinikverbund als Alternative zur Leiharbeit
Authors: Krebs Stephanie , Hasseler Martina , Lietz Anna Larina
Published: October 2019

Zielsetzung In der vorgestellten explorativen Datenerhebung werden der Bedarf und mögliche Herausforderungen hinsichtlich eines strukturierten Ausfallmanagements in einem Klinikverbund erläutert, was eine Alternative zur Nutzung von Leiharbeit darstellen kann.

Methodik Zur Erhebung der Daten wurden leitfadengestützte Interviews nach Witzel (1985) mit verschiedenen Stakeholdern geführt. Anschließend wurden diese nach der qualitativen Inhaltsanalyse nach Mayring (2016) ausgewertet.

Ergebnisse Berufsgruppend übergreifend wurde große Skepsis gegenüber der Forschungsidee eines strukturierten Ausfallkonzepts in einem Klinikverbund geäußert. Es wurde ein Bedarf gesehen, dass die Gesamtanzahl von Pflegekräften erhöht werden muss, um eine Patientenbetreuung 24 Stunden gewährleisten zu können. Darüber hinaus wurden zahlreiche Herausforderungen beschrieben.

Schlussfolgerung Die benannten Herausforderungen spiegeln die aktuelle Situation im Hinblick auf den demografischen Wandel, den Fachkräftemangel und der bestehenden Unzufriedenheit verschiedener Berufsgruppen im deutschen Gesundheitswesen wider. Positive Effekte der Zusammenarbeit in Klinikverbünden wurden auf Grund etablierter Wettbewerbsgedanken nicht erkannt. Ebenso die Möglichkeit mit Hilfe von Organisations- und Personalentwicklungsmaßnahmen oder einem passgenauen Change Management, die Situation in der Pflege zu verbessern. Es zeigt sich, dass ein Generationsmanagement, Kommunikation und Transparenz sowie Innovationsbestreben fehlen, jedoch unerlässlich sind.
Eglerisine, a Novel Sesquiterpenoid Tropolone from Dulacia egleri with Antiproliferative Effect against an Acute Myeloid Leukemia Lineage
Authors: R. de Novais Leice M. , Ferreira Luiz F. , de Sousa Paulo T. , Ribeiro Tereza A. N. , Jacinto Marcos J. , dos Santos Carlos H. C. , de Carvalho Mário G. , Torquato Heron F. V. , Paredes-Gamero Edgar J. , Silva Virgínia C. P.
Published: October 2019

Chemical investigation of the stems of Dulacia egleri resulted in the isolation of eglerisine (1), a compound with a rare sesquiterpenoid tropolone skeleton. Its structure was determined by analysis of spectrometric and spectroscopic data, including HRESIMS, 1D, and 2D NMR. The antiproliferative effects of eglerisine were tested in human leukemia lineages. In the Kasumi-1 lineage, an acute myeloid leukemia cell line, eglerisine reduced cell metabolism, as determined by the resazurin assay. Eglerisine did not induce cell death by either apoptotic or necrotic mechanisms. However, a reduction of the absolute number of cells was observed. Eglerisine induced cell cycle arrest after 72 h of treatment by phosphorylation of H2AX histone, reducing the S phase and increasing the G2 phase of the cell cycle.
Implant Reconstruction in Nipple Sparing Mastectomy
Authors: Chu Carrie K. , Davis Matthew J. , Abu-Ghname Amjed , Winocour Sebastian J. , Losken Albert , Carlson Grant W.
Published: October 2019

Nipple sparing mastectomy has been popularized in the modern era of breast cancer treatment due to its touted advantages with regard to resultant body image and reconstructive outcome. Implant-based techniques remain the most prevalent means of breast reconstruction. Special considerations regarding patient selection and technique are reviewed for implant reconstruction in the setting of mastectomy with nipple preservation. Applications for prepectoral and direct-to-implant reconstruction are discussed and published outcomes are summarized.
Using structural phase transitions to enhance the coercivity of ferromagnetic films
Authors: Need Ryan F. , Lauzier Josh , Sutton Logan , Kirby Brian J. , de la Venta Jose
Published: October 2019

Storing information in magnetic recording technologies requires careful optimization of the recording media’s magnetic properties. For example, heat-assisted magnetic recording (HAMR) relies on a prerecording heating step that momentarily lowers the coercivity of the ferromagnetic recording media, and thereby decreases the energy expenditure for each writing operation. However, this process currently requires local temperature increases of several hundred Kelvins, which in turn can cause heat spreading, damage the write head, and limit recording rates. Here, we describe a general mechanism for dramatically tuning the coercivity of ferromagnetic films over small temperature ranges, by coupling them to an adjacent layer that undergoes a structural phase transition with large volume changes. The method is demonstrated in Ni/FeRh bilayers where the Ni layer was deposited at 300 K and 523 K, above and below the FeRh metamagnetic transition at 370 K. When the Ni layer is grown at high temperatures, the 1% FeRh lattice expansion relative to room temperature alters the Ni’s crystallographic texture during growth and leads to a 500% increase in coercivity upon cooling through the FeRh’s metamagnetic transition. Our analysis suggests this effect is related to domain wall pinning across grain boundaries with different orientations and strain states. This work highlights the promise of thermally tuning the coercivity of ferromagnetic materials through structural coupling to underlying films that could enable simplified heatsink designs and expand the selection of materials compatible with HAMR.
Out-of-plane transport in ZrSiS and ZrSiSe microstructures
Authors: Shirer Kent R. , Modic Kimberly A. , Zimmerling Tino , Bachmann Maja D. , König Markus , Moll Philip J. W. , Schoop Leslie , Mackenzie Andrew P.
Published: October 2019

A recent class of topological nodal-line semimetals with the general formula MSiX (M = Zr, Hf and X = S, Se, Te) has attracted much experimental and theoretical interest due to their properties, particularly their large magnetoresistances and high carrier mobilities. The plateletlike nature of the MSiX crystals and their extremely low residual resistivities make measurements of the resistivity along the [001] direction extremely challenging. To accomplish such measurements, microstructures of single crystals were prepared using focused ion beam techniques. Microstructures prepared in this manner have very well-defined geometries and maintain their high crystal quality, verified by the observations of quantum oscillations. We present magnetoresistance and quantum oscillation data for currents applied along both [001] and [100] in ZrSiS and ZrSiSe, which are consistent with the nontrivial topology of the Dirac line-node, as determined by a measured π Berry phase. Surprisingly, we find that, despite the three dimensional nature of both the Fermi surfaces of ZrSiS and ZrSiSe, both the resistivity anisotropy under applied magnetic fields and the in-plane angular dependent magnetoresistance differ considerably between the two compounds. Finally, we discuss the role microstructuring can play in the study of these materials and our ability to make these microstructures free-standing.
Study of two positive current pulses atmospheric pressure cold plasma jet
Authors: Almarashi Jamal Qernas M.
Published: October 2019

Simple argon atmospheric pressure cold plasma jet has been designed and characterized. The spectral and electrical characteristics of the generated plasma jet were investigated. The effects of applied voltage and flow rate on plasma jet length were studied. A sinusoidal high voltage waveform was applied to ignite the plasma jet. Two current pulses were generated per each half cycle of the positive applied voltage while one current pulse was generated in the negative halves of the voltage waveforms. The time interval between the two positive current pulses decreased with increasing the applied voltage. The emission spectra of the plasma specified that the plasma included active species of O• and OH•. In addition, the estimated gas temperature of the generated plasma jet was in the range of 330 K, which nominated this jet to be used to treat heat sensitive materials. The obtained results showed that the length of the plasma jet increased by increasing any of the applied voltage or the flow rate at low values, whereas the length approached steady-state values at higher applied voltages and transient from laminar to turbulent flow mode at higher flow rates. This work is highly useful for applications of the required exposure to active species, charged ions, and UV photons at low operating temperatures and applied voltages.
Beyond the pipeline: a critique of the discourse surrounding the development of an Indigenous primary healthcare workforce in Australia
Authors: Bond Chelsea , Brough Mark , Willis Jon , Stajic Janet , Mukandi Bryan , Canuto Condy , Springer Shannon , Askew Deborah , Angus Lynnell , Lewis Tara
Published: October 2019

A central strategy in addressing health disparities experienced by Indigenous people has been based on a concern with workforce improvement. In this paper, the Indigenous Australian healthcare workforce literature since 1977 is reviewed and its scope of concern, as being often limited to questions of ‘supply’, is critiqued. The pipeline metaphor, whether used explicitly or implied, regularly focuses attention on closing the gap on Indigenous representation within the health workforce. The exception though is the discourse concerning Indigenous Health Workers (IHWs), where questions concerning the legitimacy of the role continue to abound within a workforce hierarchy where community knowledge, though shown to be crucial to culturally safe health service provision, is trumped by the other health professions whose knowledges and legitimacy are not in question. This contrast exemplifies the need to examine the working of power not just ‘supply’. The pipeline metaphor is disrupted with concerns about a range of other ‘gaps’ – gaps in the recognition of Indigenous knowledges, in organisational structures, in governance and in self-awareness by the health professions of their whiteness. As the health system continues to measure workforce development in terms of pipeline capacity, our study questions what happens beyond the pipeline.
CaM kinase II regulates cardiac hemoglobin expression through histone phosphorylation upon sympathetic activation
Authors: Saadatmand Ali Reza , Sramek Viviana , Weber Silvio , Finke Daniel , Dewenter Matthias , Sticht Carsten , Gretz Norbert , Wüstemann Till , Hagenmueller Marco , Kuenzel Stephan R. , Meyer-Roxlau Stefanie , Kramer Martin , Sossalla Samuel , Lehmann Lorenz H. , Kämmerer Susanne , Backs Johannes , El-Armouche Ali
Published: October 2019

Significance

Posttranslational modifications of the histone 3 (H3) tail in response to stress represent highly conserved epigenetic processes. However, the regulatory function of histone phosphorylation has hardly been studied in postmitotic cardiomyocytes. Here, we identified CaMKII as a catecholamine-sensitive kinase phosphorylating H3S28. We identified CaMKII-dependent H3S28p-regulated genes including hemoglobin, pointing to a previously unrecognized role of CaMKII for cardiac hemoglobin homeostasis. This study raises fundamental questions about the role of hemoglobin in nonhematopoietic cells such as cardiomyocytes and about the role of CaMKII for hematopoesis.
Relations between tangle and I concurrence for even n-qubit states
Authors: Zha Xin-Wei , Miao Ning , Li Ke
Published: October 2019

Gilad Gour and Nolan R Wallach [J. Math. Phys.
51 112201 (2010)] have proposed the 4-tangle and the square of the I concurrence. They also gave the relationship between the 4-tangle and the square of the I concurrence. In this paper, we give the expression of the square of the I concurrence and the n-tangle for six-qubit and eight-qubit by some local unitary transformation invariant. We prove that in six-qubit and eight-qubit states there exist strict monogamy laws for quantum correlations. We elucidate the relations between the square of the I concurrence and the n-tangle for six-qubit and eight-qubits. Especially, using this conclusion, we can show that 4-uniform states do not exist for eight-qubit states.
Thermal properties of regular black hole with electric charge in Einstein gravity coupled to nonlinear electrodynamics*
Authors: Wei Yi-Huan
Published: October 2019

We propose a regular spherically symmetric spacetime solution with three parameters in Einstein gravity coupled to nonlinear electrodynamics (NED), which describes the NED black hole with electric charge. It is found that the system enclosed by the horizon of NED spacetime satisfies the first law of thermodynamics. In order to obtain the NED spacetime with only electric charge, the case of two parameters taking the same value is considered. In this case, we express the mass of the NED spacetime as a function of the entropy and electric charge of the NED black hole, give the Smarr-like formula and the approximate Smarr formula for the mass of NED spacetime.
High performance silicon-based GeSn p–i–n photodetectors for short-wave infrared application*
Authors: Zhao Yue , Wang Nan , Yu Kai , Zhang Xiaoming , Li Xiuli , Zheng Jun , Xue Chunlai , Cheng Buwen , Li Chuanbo
Published: October 2019

An investigation of germanium-tin (GeSn) on silicon p–i–n photodetectors with a high-quality Ge0.94Sn0.06 absorbing layer is reported. The GeSn photodetector reached a responsivity as high as 0.45 A/W at the wavelength of 1550 nm and 0.12 A/W at the wavelength of 2 μm. A cycle annealing technology was applied to improve the quality of the epitaxial layer during the growth process by molecular beam epitaxy. A low dark-current density under 1 V reverse bias about 0.078 A/cm2 was achieved at room temperature. Furthermore, the GeSn photodetector could detect a wide spectrum region and the cutoff wavelength reached to about 2.3 μm. This work has great importance in silicon-based short-wave infrared detection.
Airborne nanoparticle (Nanoaerosol) sampling efficiency analysis based on filtration on TEM grid
Authors: Xiang M , Morgeneyer M , Philippe F , Bressot C
Published: October 2019

The scientific and technological issues associated with the characterization of the exposure of nano-aerosols is a huge technological challenge. Nano-aerosol measurement is a key point to characterize nanoparticle exposure. Transmission electron microscopy (TEM) coupled with energy-dispersive X-ray (EDX) is a comprehensive tool for determining size distributions and elemental compositions. Individual particle analysis allows the determination of size, morphology, specific surface, and elemental composition. Techniques allowing sampling on adapted analysis support TEM grids are of great interest to aerosol analysis: by using MPS and TEM analysis, sampling is directly and easily performed. The current paper explores the available theoretical models which assess sampling efficiency according to the chosen empirical approach. The recent studies which use this method are also briefly introduced.
Occupational risk assessment during explosion severity tests of carbon black and MWCNT in a laboratory
Authors: Bouhoulle Elodie , Sinaba Tiécoura , Laruelle Robin , Dalle Morgane , Aguerre-Chariol Olivier , Breulet Hervé , Le Bihan Olivier
Published: October 2019

Risk assessment has been conducted by quantitative and qualitative methods during explosion severity tests in a 20 L sphere for carbon black (N990) and MWCNT (NC7000™). The qualitative risk assessment was performed by control banding with CB Nanotool and StoffenManager Nano. The methodology for the quantitative assessment was based on general recommendations for exposure measurement assessment and an easy-to-use operational sampling approach. The results enabled to highlight a few sources of nanomaterials emission during the tests. It led also to the finding that the dynamic barrier provided by the local exhaust ventilation system can be temporarily weakened due to overpressure events. Based on the comparison of the measurements with the risk assessment results, the relevance of the selected control banding tools was assessed.
Occupational exposure to LTA Nanozeolites: strategies of exposure monitoring and toxicity evaluation
Authors: Ferrante R. , Ursini C.L. , Boccuni F. , Tombolini F. , Fresegna A.M. , Ciervo A. , Maiello R. , Iavicoli S. , Cavallo D.
Published: October 2019

Nanozeolites (NZs) are increasingly used in several sectors, but very few data are available on their toxicity. Therefore in this study we aimed to apply a standardized strategy to assess the occupational exposure integrated to an in vitro model useful to evaluate potential toxic effects in the case study of LTA-NZs.

Particle number concentration (PNC) values greater than the background significant level were highlighted during the production process phase of LTA NZs. The increase of PNC in the typical size range of produced NZs (around 100nm) and the presence of airborne NZs and their agglomerates in the workplace were confirmed by both real-time (CPC and FMPS) and off-line (ICP-MS and SEM-EDX) data analysis.

We also investigated the potential cyto-genotoxicity of NZs produced in the factory, on human alveolar cells (A549) exposed to 10-100μg/mL. We evaluated cell viability/apoptosis by cytofluorimetric assay, membrane damage by LDH release and DNA damage by Fpg-comet assay. We found a slight increase of apoptotic cell % at 50 and 100μg/mL. We found slight, statistically significant, direct DNA damage and slight oxidative DNA damage.

These findings represent the first data integrating exposure characterization and potential genotoxicity of NZs and highlight the need to perform further studies to confirm such results.
Synthesis and characterization of calcium alginate and cellulose nanocrystal films for lead removal
Authors: Urzedo A L , Bernardes J S , Pedron T , Batista B L , Akiba N , Gaubeur I , Seabra A B
Published: October 2019

The contamination of water with lead (Pb) is a society concern since this metal as a toxic cation. Cellulose nanocrystals (CNC) are rod-like structures with variable size, which are prepared by acid hydrolysis of cellulose natural sources, so it is a renewable, biodegradable material, with good mechanical performance. Sodium alginate (SA) is a biopolymer, biodegradable and renewable. This biopolymer can chelate bivalent cations forming gel networks. This work focuses on the combination of these two natural biopolymers to create a film of calcium alginate with CNC with the aim to remove non-essential elements on contaminated water. SA and CNC were mixed forming a dispersion, then they were left to dry and reticulated with sodium chlorate (CaCl2) solution. To determine the adsorption kinetics, the films were put in contact with Pb solution, the mixture was maintained under agitation, at constant speed and temperature, the Pb and calcium (Ca) concentrations in supernatant aliquots were determined using the Inductively Coupled Plasma Optical Emission Spectroscopy (ICP OES) and Flame Atomic Absorption Spectroscopy (FAAS), respectively. The results were applied on three kinetic models of adsorption: pseudo-first order; pseudo-second order and Weber-Morris. Characterizations of films were carried by Fourier Transform Infrared (FTIR); Atomic Force Microscopy (AFM); Scanning Electron Microscopy (SEM). AFM and SEM topography study showed a very flat and smooth surface for the films. The adsorption of Pb onto film increased with time contact. Maximum adsorption of Pb was 3.5 mg per gram of film. The prepared films were characterized by AFM and SEM. FTIR confirmed the structure of both polysaccharides. The Pb adsorption experimental data showed an adjusting for pseudo-second model, agreeing with published papers. Further analysis should be done to evaluate isotherms of adsorption and methods for removing the non-essential elements of the film, with the aim of a possible reuse of it.
Nanomaterials exposure as an occupational risk in metal additive manufacturing
Authors: Sousa M , Arezes P , Silva F
Published: October 2019

Metal Additive Manufacturing (AM) is a process of joining metallic materials based on 3D model data, aiming the manufacture of three dimensional parts by the successive addition of material, usually layer upon layer. This technology is nowadays seen as an emerging one, showing exceptional perspectives of growth, being able to produce parts in various materials such as precious metals (for example gold, silver and platinum) and several metal alloys, such as aluminium, titanium, nickel, cobalt and magnesium based alloys, among others. However, as the range of feedstock materials, technologies and applications increases, so do the concerns about its impact on health and safety of those who are exposed to the particles emitted during these processes, particularly when AM uses metal powder. Regarding emissions, studies thus far show that nanomaterials are emitted during AM processes, a fact that rises the concern about its impacts and enhances the complexity of risk management on these processes. When risk management aims nanoscale, it becomes a true challenge as it deals with several different nanomaterials and the lack of systematic and standardized risk assessment methodologies. At this scale, risk management raises many doubts regarding the selection of quantitative or qualitative approaches, the identification, characterization and quantification of nanomaterials, the definition of occupational exposure limits and the outlining of control measures. Having this conscience, a review was developed to summarize some of the recent developments in the field of risk management of occupational exposure to nanomaterials during metal additive manufacturing. Additionally, this review emphasizes the need for more investigation about risks regarding nanomaterials in workplaces, which is essential to ensure workers’ safety conditions and preserve their health, as well as to make conscious decisions on risk assessment, public health, medical monitoring and control measures, namely the adoption of personal protective equipment.
Cytotoxicity and Antitumor Activity of Biogenic Silver Nanoparticles Against Non-Muscle Invasive Bladder Cancer
Authors: Ferreira L A B , Fóssa F G , Durán N , de Jesus M B , Fávaro W J
Published: October 2019

Bladder cancer is the fifth most common form of malignancy in the United States, and for most of the last three decades, the treatment and outcomes for patients with this disease have not changed. Nanomedicine aims to provide the means to target chemotherapies directly and selectively to cancerous cells and enhance their therapeutic efficacy. In this scenario, we employed biogenic Silver Nanoparticles (AgNPs) as an anticancer agent against non-muscle invasive bladder cancer (NMIBC). Bladder cancer was chemically induced with N-methyl-N-nitrosourea (MNU) on C57BL/6Junib female mice and treated by intravesical route with biogenic silver nanoparticles concentrations of 0.5, 0.2, and 0.05 mg/mL. The histopathological analyzes showed the treated with AgNP 0.5 group presented 42.85% of pTa, 28.57% of pTis and 28.57% of pT1, indicating that this treatment was not effective in regressing the neoplastic lesions. MNU + AgNP 0.2 group showed 28.57% of tumor regression, being these animals showed flat hyperplasia (28.57%). Finally, treatment with 0.05 AgNP led to 57.13% of tumor regression, with 14.28% of the animals showing normal urothelium and 42.85% showing flat hyperplasia, considering a benign lesion. Further, to understand the antitumor effect of AgNPs, we evaluated the molecular mechanism of cytotoxicity in human bladder carcinoma 5637 cell. The results showed the dose-time dependent cytotoxicity, and detailed analysis demonstrated the induction of cell death via apoptosis. Besides, we found that AgNP inhibition in cell migration and proliferation. Thus, these findings confirm the antitumor properties of AgNPs and suggest that they may be a cost-effective alternative and promising candidate for the treatment of bladder cancer.
Relevance of pin-on-disc and inertia dynamometer bench experiments for braking emission studies
Authors: Philippe F , Xiang M , Bressot C , Chen Y , Guingand F , Charles P , Loigerot J , Morgeneyer M
Published: October 2019

Over the last years, the task of reducing automobile pollution was focused on the car’s engine. Now, the non-exhaust emission becomes a major contributor, and its control is the next objective to reach the zero-emission car. A major part of those non-exhaust emissions comes from brake wear, caused by the friction between the brake disc and pads. This emission is the result of complex tribological phenomena that has still to be determined. Nevertheless, this emission remains controllable and is the next lever for reducing car pollution. The problem of this field is the non­comparable results obtained by stakeholders due to their different measurement protocol. The first challenge is, thus, to define the best protocol in order to get a representative, reliable and repeatable measurement of particle emissions. The present article discusses a step of the selection process: which laboratory indoor method is the best for simulating the generation of braking particles? The pin-on-disc and the inertia dynamometer bench are the only two existing methods for braking simulation.
Structure and Electrical Erosion Resistance of An Electro-Explosive Coating of the ZnO-Ag System
Authors: Romanov D A , Moskovskii S V , Sosnin K V
Published: October 2019

For the first time, electroerosion-resistant coatings of the ZnO-Ag system were obtained by electro-explosive spraying. The coating structure was investigated by atomic force microscopy and scanning electron microscopy. The formed coating is a homogeneous composite material consisting of a silver matrix and ZnO inclusions located in it. Tests of sprayed coatings for electrical erosion resistance under arc erosion conditions were carried out. A formation mechanism of hierarchical levels of the structure of electro-explosive coatings was suggested. The mechanism is based on theoretical concepts of the formation and evolution of fractal aggregates with diffusion-limited and cluster-cluster aggregations. Based on the electrical properties of silver and zinc oxide, the dependence of electrical contact resistance on the number of on/off cycles in the process of testing for electrical erosion resistance is substantiated.
Style Transfer for CNC Machine Input Data Preprocessing
Authors: Nikolaev E I , Zaharov V V , Zaharova N I
Published: October 2019

Advances in deep neural networks have led to impressive results in recent years. The new technologies such as cross-domain adaptation, reinforcement learning and generative adversarial networks have shown a real promise for industrial and real-life applications. In this paper, the results of the experimental research on designing, training and implementation of the preprocessing algorithm for the computer numerical control machine input were presented. The algorithm of neural network transfer of artistic style has demonstrated wide possibilities in the field of generating graphic content. This paper demonstrates the possibility of using a generating neural network for the synthesis of stylized images that can be used as input images for a computer numerical control machine. Thus, the proposed algorithm is pre-processing the input image. The design feature of the laser engraver does not allow styling using an arbitrary style image, so dotted or linearized binary images are used as a style. The proposed preprocessing algorithm allows synthesizing binary images reproduced by a laser engraver. At the same time, image generation is performed in one forward pass of the generating neural network.
Usage of Bioorganic Nano-fertilizer Nagro as Opportunity of Ecologization for Winter Rye Development (Secale Cereale)
Authors: Pinchuk L G , Piyanyh A V , Sergeeva I A , Konstantinova O B
Published: October 2019

On the basis of research of winter rye productivity dependence of Vlada and Tetra short cultivar from exposure of seed treatment and sowing with bioorganic nano-fertilizer Nagro in Kuznetskaya forest steppe of south-east in West Siberia (2015–2018 years), there was found out increasing of yield activity respectively to control (sowings without fertilizer) for Vlada cultivar – 15-28% and Tetra short – 4-13%. Number of falling increased for 5-23%. Wasn’t spotted correlation between hydrothermal conditions of vegetation and influence of biologics on studied productivity index.
Simulation of Transcendental Deformation Mode of Interchamber Pillars and Ore Deposit in the Course of Development of Bauxite Resources at Great Depth on the Example of Mine «Sevuralboksitruda»
Authors: Kosukhin N I , Sidorov D V , Yu Timofeev V
Published: October 2019

The publication describes the problem of transcendental deformation mode of interchamber pillar and ore deposit associated with the formation of hazardous zones in the rock mass in process of development of rockburst-hazardous rock masses at the great depth. Geomechanical software PRESS 3D URAL is used to assess the impact of the range of geological and technological factors on the mode of interchamber pillars deformation and ore deposit. The software allows to solve spatial problems in the elastic-plastic formulation. The results of step-by-step modeling of different mining and technical situations with a test of the bearing capacity of interchamber pillars showed that some of them can’t withstand the mountain pressure and go to the transcendental mode of deformation with subsequent destruction. Identification of the destroyed pillars allows to adjust the boundary conditions of loading the ore mass. At the same time the neglect of transcendental mode of deformation of interchamber pillars can lead to an undervaluation of the stress level in the ore mass by 1.5 or more times. This can lead to an error in predicting the parameters of zones dangerous due to rock bumps.
Management of Repair Service Structure of Industrial Enterprise When Transferring Repair Equipment for Outsourcing
Authors: Shimohin A V , Redreev G V , Pomogaev V M , Zaripova N A , Kirasirov O M
Published: October 2019

in modern conditions, when the equipment of domestic industrial enterprises is significantly worn out, it becomes important to use outsourcing repairs as a way to improve the reliability of equipment by ensuring the quality of repair. The decision to outsource is made on the basis of different criteria using different approaches, some of which have certain drawbacks. For example, a decision based on a revenue change might be wrong because it is not related to outsourcing. Multi-criteria approaches are ineffective due to mutual compensation of deteriorating and improving criteria. The algorithm of decision-making on outsourcing of repair of the equipment and the choice of service providers on the basis of comparison of costs of outsourcing and insourcing is presented.The widespread structure of repair service of the industrial enterprises is considered and its reorganization in the conditions of repair outsourcing application is offered. The criteria and method of their calculation for the possibility of evaluating the effectiveness of repair outsourcing equipment. To assess the effectiveness of the reorganization of the repair service, the ratio of repair time, the number of failures, the number of defects, the repair costs are taken. For the detection of improvement or deterioration in the quality of the repair after the use of outsourcing, you must use the product of these relations.
Linear Model of Information System of Industrial Processes in Crop Production
Authors: Redreev G V , Kiyko P V , Demchuk E V , Shchukina N V
Published: October 2019

the timeliness of information received during the implementation of any production process, as well as its qualitative composition, significantly affect the efficiency of this process. This is particularly important for agricultural production, as field operations are highly time-sensitive, both in terms of start-up and duration. The real possibility of a significant increase in the efficiency of production processes in crop production appeared at the current level of information technology and the spread of digitalization of various fields of activity. On the basis of existing methodological approaches to the system representation of objects of reality, we have developed an information system of the production process in crop production. The elements of the system are the amount of knowledge of specialists in the cultivation of crops, information about the composition of cultivation technologies, information about the objects processed in the implementation of production processes, recorded in any form replenished special knowledge, knowledge about the goals achieved in the implementation of production processes. Elements of the system are interconnected, developing in a certain way and, at the same time, limiting each other. The formalization of the relationships between elements of the information system allowed us to obtain ten equations with fifteen unknowns. To solve this system of equations, a set of simultaneous linear equations is presented. Five sets of simultaneous equations can be defined, depending on which of the relationships of the elements of the information system of the type fi
will be broken. The obtained solutions will allow to quantify the volume of elements of the information system, which makes it very promising to use information technology management of production processes in crop production.
Face Dynamic Modeling Based on Deep Learning and Feature Extraction
Authors: Tong Lijing , Yang Jinqiu , Lai Yuping , Xiao Zequn
Published: October 2019

Facial modeling is a key step to model visual effects in special movie effects and computer games. In this paper, a method based on the combination of deep learning and feature extraction is proposed for the modeling of 3D face model. Firstly, the face region is located for the captured face image. And then, the facial feature points are extracted by the landmark algorithm and the Convolutional Neural Network (CNN) is used to classify the facial expressions. Next, a special expression 3D face model is created by the deformation of the standard 3D face model based on the facial expressions classification result. Finally, the 3D face model and the extracted facial feature points are combined to perform personalized adjustment of the 3D model to complete a 3D facial expression animation system. The experimental results show that the proposed method can effectively perform the dynamic 3D face modeling which has high reality.
A New Approach for Short-term Time Series Forecasting
Authors: Fan Henghai , Wu Shuai , Chen Ning , Gao Bo , Xu Yiming
Published: October 2019

Short-term series forecasting is one of the essential issues in a variety of tasks, such as traffic flow prediction, stock market tendency analysis, etc. Most current methods based on stable or abundant historical data. In this paper, we proposed a novel model called LA-NN. It takes advantages of both long short-term memory (LSTM) network and autoregressive integrated moving average (ARIMA) by a relation integration of them. So as to deal with the situation of insufficient historical data and sudden abnormal changes in data. A comparison with other representative forecast models validates that the proposed LA-NN network can achieve a better performance.
Design of Dual-Rate PIM-Disturbance Regulators for a DC-DC Switching Converter
Authors: Nishinaga Naoya , Hori Noriyuki , Ruan Xinyue
Published: October 2019

Three types of dual-rate digital controllers are designed to suppress the output voltage fluctuations caused by load-current changes for a buck DC-DC switching converter running at 300kHz PWM. The slower-rate outer loop is designed using the IA-PIM method, which stabilizes the outer loop at a slow rate of 25kHz. Since the time lag in sensing the disturbance is critical, a faster loop of 300kHz is added based on three different approaches. The resulting dual-rate control laws are implemented on a single 16-bit fixed-point microcomputer with the clock frequency of 140MHz, via 12-bit A/D and D/A converters. Experiments on the fluctuation of the output voltage caused by load-current transients show that, while the analog regulator suppresses the maximum output fluctuation to be 4.7 % of the output voltage, one of the three digita l control methods achieves 4%, without adding ext ra analog components, such as capacitors as in our previous paper.
Body-Boundary-Refined Human Parsing Network based on Fully Convolutional Network and Conditional Random Fields
Authors: Zhao Hanlin , Ma Xin
Published: October 2019

Human parsing is still a big challenge in computer vision task to accurately label every body part in an image. Current methods of sematic segmentation mainly focus on dividing each independent part and ignore the structural priors of human body. However, the position relationships of different parts, especially which around the area of boundary, indicate their associations and also contribute to the semantic segmentation. In our work, we propose a body-boundary-refined part to refine the segmentation result of human part edge by simply utilizing the structure priors around the body boundary. It puts a penalty mechanism on wrong marginal pixels to improve segmentation performance around the area of body boundary. The network achieves competitive performance on the PASCAL-Parts-dataset and especially the area around the body boundary has been refined.
Hybrid Algorithm for Solving Traveling Salesman Problem
Authors: Zhao Ping , Xu Degang
Published: October 2019

The basic genetic algorithm has the disadvantages of falling into local optimum and slow convergence. To solve this problem, a hybrid algorithm combining simulated annealing strategy is proposed. The cooling process in simulated annealing is used to complete the iterative process in the hybrid algorithm. The algorithm is used to solve the traveling salesman problem. The results show that the convergence speed and accuracy of the hybrid algorithm is significantly better than the basic genetic algorithm.
Optimizing the Perimeter Control for Urban Traffic Sub-region by BP Neural Network
Authors: Liu Wenchao , Zhu Wenxing
Published: October 2019

In this paper, we improve the effect of perimeter control for Urban Traffic Sub-region by optimizing signal timing in traffic sub-region. Firstly, we verify the influence of different signal timing on the shape of macroscopic fundamental diagram(MFD) by simulation. Then, we use BP neural network to model the mapping relationship between signal timing and MFD maximum volume(saturated traffic volume of sub-region). In perimeter control based on MFD, the larger the saturated traffic volume, the more vehicles passing through the sub-area. When the output of the BP neural network model reaches the maximum value, the signal timing of the road network is the best one. Comparing the perimeter control effects of different signal timings, we find that the larger the saturation traffic, the larger the traffic in the boundary control and the smaller the vehicle delay.
Ground-based Multi-platform Point Clouds Registration
Authors: Gao Yuan , Li Mingchu
Published: October 2019

Laser scanning system provides an efficient solution to rapidly acquire 3D information of large-scale scenes. Point clouds collected by laser scanning systems contain numerous objects with significant disparities in size, complicated and incomplete structures, holes, varied point densities, and huge data volumes, raising great challenges for automated point clouds registration, segmentation, and object detection. The dissertation presents a hierarchical merging based multi-platform point clouds registration algorithm to align MLS point clouds and unordered TLS point clouds from various scenes and validates its performance on nine challenging datasets. The algorithm improves the efficiency and accuracy of point cloud registration and enhances the registration ability of the algorithm for low-overlap and high-symmetry point clouds.
Research and Design of ERP System for Small and Medium-sized Enterprises under Great Intelligence Mobile Cloud
Authors: Wen Yong
Published: October 2019

Based on the information management needs of SMEs, the article adopts the rapid prototyping method, designs the overall framework of the cloud ERP system, maps out the functional modules, adopts the B/S architecture, uses Java as the development tool, and SQL Server as the background server. The cloud computing and APP technologies are used to realize instant access between the PC and the mobile terminal, and the cloud ERP system with relatively complete system functions, simple interface and mobile operation is realized. The system incorporates new technologies such as big data analytics, artificial intelligence, machine learning and data mining to enable it to realize intelligent financial analysis, intelligent financial forecasting and intelligent financial decisions.
A Hybrid Genetic Algorithm for the Distributed Permutation Flowshop Scheduling Problem with Sequence-Dependent Setup Times
Authors: Huang Jiangping , Pan Quanke , Chen Qingda
Published: October 2019

The distributed permutation flowshop scheduling problem (DPFSP) has attracted many researchers’ attention in recent years. In this paper, we extend the DPFSP by considering the sequence-dependent setup time (SDST). A new hybrid genetic algorithm (HGA) for the DPFSP with the SDST (SDST/DPFSP) is presented to minimize the maximum of the completion time. At first, a new population initialization is proposed. And then, the newly-designed operators are described in details, and we also introduce the mutation rate and the crossover rate to balance the mutation operator and the crossover operator. To further improve the obtained solution, a new local search method is developed. At last, the orthogonal experimental design is applied to adjust the parameters in the HGA, and a comprehensive computational campaign based on the 135 instances demonstrates the effectiveness of the proposed HGA for the SDST/DPFSP.
Research Status and Development Trend of Bioheuristic Computing
Authors: Chai zhijun , Li Zhao
Published: October 2019

Bio-inspired computation aims to study the biology function, characteristic and echanism of the various levels of nature from biological individual, population, colony until ecosystem, and set up a relevant model and computing method, so as to serve the scientific research and engineering application of human society. A few future directions and research challenges are presented, such as parallel bio-in-spired computation, bio-inspired computation with reasoning and knowledge, bio-inspired dynamics computation, bio-inspired computation based on quorumsensing, artificialbrain, evolutionaryhardware, bigdata, swarmrobot, virtualbiological, cloudcomputing, etc.
Chinese Named Entity Recognition for Clothing Knowledge Graph Construction
Authors: Zhu Ming , Zhen De-Sheng
Published: October 2019

Clothing knowledge graph is a kind of vertical domain knowledge base constructed for the description of clothing knowledge in the field of textile and apparel. In this paper, based on the limitations of the clothing knowledge graph in the effect of entity extraction, the deep learning model and the statistical model are combined. A Chinese named entity recognition method based on CNN-BiLSTM-CRF is proposed. Firstly, the convolutional neural network(CNN) is used to extract the text features, and the character-level vectors with morphological features of the words are trained. Then the bi-directional long short term memory networks(LSTM) is used to learn the context features, and the vector representation of the context of each word is output. Finally, the conditional random fields(CRF) model is used for self-learning. Get the best tag sequence for the sentence. The method can automatically recognize the text, and does not rely on the artificial feature to obtain the semantic category information. Finally, the experimental data and evaluation methods are introduced. The experimental results show that the Chinese named entity recognition method based on CNN-BiLSTM-CRF is superior to other models in all indicators, indicating the effectiveness of the method.
A Novel Ground Plane Detection Method Using an RGB-D Sensor
Authors: Chen Li , Zhou Jun , Chu Xuepeng
Published: October 2019

A novel ground plane detection method is put forward based on three-dimensional (3D) point cloud data obtained using an RGB-D sensor. It consists of three stages: data pre-processing, occupancy grid map construction and ground plane segmentation. In order to obtain more accurate 3D point cloud data, the weight median filter (WM) is applied to recover the invalid depth pixel in the depth image. Different from the traditional approaches which process the 3D point cloud data directly, our algorithm transforms the 3D point cloud data into an occupancy grid map. Considering that the occupancy in the occupancy grid map and the distance from the point to the ground plane are distinct between ground points and other points, we will get a part of the 3D points that is definitely in the ground. The points selected are back-projected to the pixel coordinate system to get the result of the ground plane detection. In terms of experiment, the sensor is mounted on the mobile robot, Turtlebot2. The proposed method can detect more than 95 percent of the ground point. It produces accurate ground plane detection in different scenes.
Multi-Agent Aviation Search Task Allocation Method
Authors: Wang Yijuan , Pan Weijun , Liu Kaiyuan
Published: October 2019

The multi-agent technology is used to reasonably allocate the search area determined after the aircraft crash, and the research on the task assignment problem of aircraft crash area based on multi-agent system is proposed. In the simulation experiment, the model of multiple rescue points, single disaster points and multiple emergency resource allocations is shown. The results show that the method can optimize the allocation of the search task in the aircraft crash area and dynamically change with the change of the crash area. The aircraft’s search-assisted decision-making system provides some support.
Vision-based Autonomous Landing of UAV on Moving Platform using a New Marker
Authors: Huang Xiaoyun , Xu Qing , Wang Jianqiang
Published: October 2019

The research of Unmanned Aerial Vehicle (UAV) flight autonomous landing on a moving platform based on computer vision has important significance, especially for the rescue and spray UAV in the future. A vision-based relative position and attitude estimation algorithm with a novel color marker and its recognition method was proposed for the UAV autonomous landing system. The new marker is designed with a pattern which make it is as visible as possible in the whole landing process. The proposed relative position and attitude estimation algorithm is based on the four corner points on the marker which are detected by the combined approach of vanishing point of parallel lines and Levenberg-Marquardt (L-M) optimization method. Indoor and outdoor experiments were carried out. The results indicate that the method of marker detection has real-time and robust performance and the position and attitude estimation accuracy attain cm-level, which shows the feasibility of landings on moving platform automatically.