bluuebunny/crossref_metadata_2025 huggingface dataset:
Reliability Importance of Components in a Real-Time Computing System with Standby Redundancy Schemes
Authors: Zheng Junjun , Okamura Hiroyuki , Dohi Tadashi
Published: March 2019

Component importance analysis is to measure the effect on system reliability of component reliabilities, and is used to the system design from the reliability point of view. On the other hand, to guarantee high reliability of real-time computing systems, redundancy has been widely applied, which plays an important role in enhancing system reliability. One of commonly used type of redundancy is the standby redundancy. However, redundancy increases not only the complexity of a system but also the complexity of associated problems such as common-mode error. In this paper, we consider the component importance analysis of a real-time computing system with warm standby redundancy in the presence of Common-Cause Failures (CCFs). Although the CCFs are known as a risk factor of degradation of system reliability, it is difficult to evaluate the component importance measures in the presence of CCFs analytically. This paper introduces a Continuous-Time Markov Chain (CTMC) model for real-time computing system, and applies the CTMC-based component-wise sensitivity analysis which can evaluate the component importance measures without any structure function of system. In numerical experiments, we evaluate the effect of CCFs by the comparison of system performance measure and component importance in the case of system without CCF with those in the case of system with CCFs. Also, we compare the effect of CCFs on the system in warm and hot standby configurations.
Parametric Bootstrap Methods for Estimating Model Parameters of Non-homogeneous Gamma Process
Authors: Saito Yasuhiro , Dohi Tadashi
Published: March 2019

Non-Homogeneous Gamma Process (NHGP) is characterized by an arbitrary trend function and a gamma renewal distribution. In this paper, we estimate the confidence intervals of model parameters of NHGP via two parametric bootstrap methods: simulation-based approach and re-sampling-based approach. For each bootstrap method, we apply three methods to construct the confidence intervals. Through simulation experiments, we investigate each parametric bootstrapping and each construction method of confidence intervals in terms of the estimation accuracy. Finally, we find the best combination to estimate the model parameters in trend function and gamma renewal distribution in NHGP.
Feedback Schemes for the Action-Dependent Wiretap Channel with Noncausal State at the Transmitter
Authors: Zhang Haonan , Yu Linman , Dai Bin
Published: March 2019

In this paper, we propose two feedback coding schemes for the action-dependent wiretap channel with noncausal state at the transmitter. The first scheme follows from the already existing secret key based feedback coding scheme for the wiretap channel. The second one follows from our recently proposed hybrid feedback scheme for the wiretap channel. We show that, for the action-dependent wiretap channel with noncausal state at the transmitter, the second feedback scheme performs better than the first one, and the capacity results of this paper are further explained via a Gaussian example, which we call the action-dependent dirty paper wiretap channel with noiseless feedback.
Optimal Charging Navigation Strategy Design for Rapid Charging Electric Vehicles
Authors: Mo Wangyi , Yang Chao , Chen Xin , Lin Kangjie , Duan Shuaiqi
Published: March 2019

Electric vehicles (EVs) have become an efficient solution to making a transportation system environmentally friendly. However, as the number of EVs grows, the power demand from charging vehicles increases greatly. An unordered charging strategy for huge EVs affects the stability of a local power grid, especially during peak times. It becomes serious under the rapid charging mode, in which the EVs will be charged fully within a shorter time. In contrast to regular charging, the power quality (e.g.,voltages deviation, harmonic distortion) is affected when multiple EVs perform rapid charging at the same station simultaneously. To reduce the impacts on a power grid system caused by rapid charging, we propose an optimal EV rapid charging navigation strategy based on the internet of things network. The rapid charging price is designed based on the charging power regulation scheme. Both power grid operation and real-time traffic information are considered. The formulated objective of the navigation strategy is proposed to minimize the synthetic costs of EVs, including the traveling time and the charging costs. Simulation results demonstrate the effectiveness of the proposed strategy.
Comparative Analysis of the Combustion Stability of Diesel-Methanol and Diesel-Ethanol in a Dual Fuel Engine
Authors: Jamrozik Arkadiusz , Tutak Wojciech , Gnatowska Renata , Nowak Łukasz
Published: March 2019

The co-combustion of diesel with alcohol fuels in a compression ignition dual fuel engine is one of the ways of using alternative fuels to power combustion engines. Scientific explorations in this respect should not only concern the combustion process in one engine cycle, which is most often not representative for a longer engine life, but should also include an analysis of multiple cycles, which would allow for indicating reliable parameters of engine operation and its stability. This paper presents experimental examinations of a CI engine with a dual fuel system, in which co-combustion was performed for diesel and two alcohol fuels (methanol and ethanol) with energy contents of 20%, 30%, 40% and 50%. The research included the analysis of the combustion process and the analysis of cycle-by-cycle variation of the 200 subsequent engine operation cycles. It was shown that the presence and increase in the share of methanol and ethanol used for co-combustion with diesel fuel causes an increase in ignition delay and increases the heat release rate and maximum combustion pressure values. A larger ignition delay is observed for co-combustion with methanol. Based on changes in the coefficient of variation of the indicated mean effective pressure (COVIMEP) and the function of probability density of the indicated mean effective pressure (f(IMEP)), prepared for a series of engine operation cycles, it can be stated that the increase in the percentage of alcohol fuel used for co-combustion with diesel fuel does not impair combustion stability. For the highest percentage of alcohol fuel (50%), the co-combustion of diesel with methanol shows a better stability.
Early Fault Detection of Wind Turbines Based on Operational Condition Clustering and Optimized Deep Belief Network Modeling
Authors: Wang Hong , Wang Hongbin , Jiang Guoqian , Li Jimeng , Wang Yueling
Published: March 2019

Health monitoring and early fault detection of wind turbines have attracted considerable attention due to the benefits of improving reliability and reducing the operation and maintenance costs of the turbine. However, dynamic and constantly changing operating conditions of wind turbines still pose great challenges to effective and reliable fault detection. Most existing health monitoring approaches mainly focus on one single operating condition, so these methods cannot assess the health status of turbines accurately, leading to unsatisfactory detection performance. To this end, this paper proposes a novel general health monitoring framework for wind turbines based on supervisory control and data acquisition (SCADA) data. A key feature of the proposed framework is that it first partitions the turbine operation into multiple sub-operation conditions by the clustering approach and then builds a normal turbine behavior model for each sub-operation condition. For normal behavior modeling, an optimized deep belief network is proposed. This optimized modeling method can capture the sophisticated nonlinear correlations among different monitoring variables, which is helpful to enhance the prediction performance. A case study of main bearing fault detection using real SCADA data is used to validate the proposed approach, which demonstrates its effectiveness and advantages.
Effects of Selective Substitution of Cysteine Residues on the Conformational Properties of Chlorotoxin Explored by Molecular Dynamics Simulations
Authors: Gregory Andrew J. , Voit-Ostricki Leah , Lovas Sándor , Watts Charles R.
Published: March 2019

Chlorotoxin (CTX) is a 36–amino acid peptide with eight Cys residues that forms four disulfide bonds. It has high affinity for the glioma-specific chloride channel and matrix metalloprotease-2. Structural and binding properties of CTX analogs with various Cys residue substitutions with l-α-aminobutyric acid (Abu) have been previously reported. Using 4.2 µs molecular dynamics, we compared the conformational and essential space sampling of CTX and analogs with selective substitution of the Cys residues and associated disulfide bonds with either Abu or Ser. The native and substituted peptides maintained a high degree of α-helix propensity from residues 8 through 21, with the exception of substitution of the Cys5–Cys28 residues with Ser and the Cys16–Cys33 residues with Abu. In agreement with previous circular dichroism spectropolarimetry results, the C-terminal β-sheet content varied less from residues 25 through 29 and 32 through 36 and was well conserved in most analogs. The Cys16–Cys33 and Cys20–Cys35 disulfide-bonded residues appear to be required to maintain the αβ motif of CTX. Selective substitution with the hydrophilic Ser, may mitigate the destabilizing effect of Cys16–Cys33 substitution through the formation of an inter residue H-bond from Ser16:OγH to Ser33:OγH bridged by a water molecule. All peptides shared considerable sampled conformational space, which explains the retained receptor binding of the non-native analogs.
Protective Effect of N-Arachidonoyl Glycine-GPR18 Signaling after Excitotoxical Lesion in Murine Organotypic Hippocampal Slice Cultures
Authors: Grabiec Urszula , Hohmann Tim , Ghadban Chalid , Rothgänger Candy , Wong Daniel , Antonietti Alexandra , Groth Thomas , Mackie Ken , Dehghani Faramarz
Published: March 2019

N-arachidonoyl glycine (NAGly) is an endocannabinoid involved in the regulation of different immune cells. It was shown to activate the GPR18 receptor, which was postulated to switch macrophages from cytotoxic to reparative. To study GPR18 expression and neuroprotection after NAGly treatment we used excitotoxically lesioned organotypic hippocampal slice cultures (OHSC). The effect of NAGly was also tested in isolated microglia and astrocytes as these cells play a crucial role during neuronal injury. In the present study, the GPR18 receptor was found in OHSC at mRNA level and was downregulated after N-Methyl-D-aspartate (NMDA) treatment at a single time point. Furthermore, treatment with NAGly reduced neuronal damage and this effect was abolished by GPR18 and cannabinoid receptor (CB)2 receptor antagonists. The activation but not motility of primary microglia and astrocytes was influenced when incubated with NAGly. However, NAGly alone reduced the phosphorylation of Akt but no changes in activation of the p44/42 and p38 MAPK and CREB pathways in BV2 cells could be observed. Given NAGly mediated actions we speculate that GPR18 and its ligand NAGly are modulators of glial and neuronal cells during neuronal damage.
Production and Characterization of Recombinant Wild Type Uricase from Indonesian Coelacanth (L. menadoensis) and Improvement of Its Thermostability by In Silico Rational Design and Disulphide Bridges Engineering
Authors: Yainoy Sakda , Phuadraksa Thanawat , Wichit Sineewanlaya , Sompoppokakul Maprang , Songtawee Napat , Prachayasittikul Virapong , Isarankura-Na-Ayudhya Chartchalerm
Published: March 2019

The ideal therapeutic uricase (UOX) is expected to have the following properties; high expression level, high activity, high thermostability, high solubility and low immunogenicity. The latter property is believed to depend largely on sequence identity to the deduced human UOX (dH-UOX). Herein, we explored L. menadoensis uricase (LM-UOX) and found that it has 65% sequence identity to dH-UOX, 68% to the therapeutic chimeric porcine-baboon UOX (PBC) and 70% to the resurrected ancient mammal UOX. To study its biochemical properties, recombinant LM-UOX was produced in E. coli and purified to more than 95% homogeneity. The enzyme had specific activity up to 10.45 unit/mg, which was about 2-fold higher than that of the PBC. One-litre culture yielded purified protein up to 132 mg. Based on homology modelling, we successfully engineered I27C/N289C mutant, which was proven to contain inter-subunit disulphide bridges. The mutant had similar specific activity and production yield to that of wild type (WT) but its thermostability was dramatically improved. Up on storage at −20 °C and 4 °C, the mutant retained ~100% activity for at least 60 days. By keeping at 37 °C, the mutant retained ~100% activity for 15 days, which was 120-fold longer than that of the wild type. Thus, the I27C/N289C mutant has potential to be developed for treatment of hyperuricemia.
Novel Fibrinolytic Protease Producing Streptomyces radiopugnans VITSD8 from Marine Sponges
Authors: D Dhamodharan , S Jemimah Naine , S Merlyn Keziah , C Subathra Devi
Published: March 2019

Fibrinolytic enzymes have received more attention due to their medicinal potential for thrombolytic diseases. The aim of this study is to characterize the in vitro fibrinolytic nature of purified protease producing Streptomyces radiopugnans VITSD8 from marine brown tube sponges Agelas conifera. Three varieties of sponge were collected from the Rameshwaram Sea coast, Tamil Nadu, India. The fibrinolytic activity of Streptomyces sp. was screened and determined by casein plasminogen plate and fibrin plate methods respectively. The crude caseinolytic protease was purified using ammonium sulfate fractionation, affinity and ion-exchange chromatography. Based on the morphological, biochemical, and molecular characterization, the isolate VITSD8 was confirmed as Streptomyces radiopugnans. Maltose and peptone were found to be the best carbon and nitrogen sources for the production of fibrinolytic protease. The carbon and nitrogen source peptone showed (781 U/mL) enzyme activity. The optimum pH and temperature for fibrinolytic protease production was found to be 7.0 and 33 °C respectively. The purified enzyme showed a maximum specific activity of 3891 U. The blood clot lysis activity was compared with the standard, and it was concluded that a minimum of 0.18 U (10 µL) of purified protease was required to dissolve the blood clot. This is the first report which exploits the fibrinolytic protease activity of Streptomyces radiopugnans VITSD8 extracted from a marine sponge. Hence the investigation suggests a potential benefit of purified fibrinolytic protease which will serve as an excellent clot buster alternative.
In-Situ Wireless Pressure Measurement Using Zero-Power Packaged Microwave Sensors
Authors: Philippe Julien , De Paolis Maria Valeria , Henry Dominique , Rumeau Alexandre , Coustou Antony , Pons Patrick , Aubert Hervé
Published: March 2019

This paper reports the indoor wireless measurement of pressure from zero-power (or passive) microwave (24 GHz) sensors. The sensors are packaged and allow the remote measurement of overpressure up to 2.1 bars. Their design, fabrication process and packaging are detailed. From the measurement of sensor scattering parameters, the outstanding sensitivity of 995 MHz/bar between 0.8 and 2.1 bars was achieved with the full-scale measurement range of 1.33 GHz. Moreover, the 3D radar imagery technique was applied for the remote interrogation of these sensors in electromagnetic reverberant environments. The full-scale dynamic range of 4.9 dB and the sensitivity of 4.9 dB/bar between 0.7 and 1.7 bars were achieved with radar detection in a highly reflective environment. These measurement results demonstrate for the first time the ability of the radar imagery technique to interrogate fully passive pressure sensors in electromagnetic reverberant environments.
Recent Advances in Surface Plasmon Resonance Imaging Sensors
Authors: Wang Dongping , Loo Jacky Fong Chuen , Chen Jiajie , Yam Yeung , Chen Shih-Chi , He Hao , Kong Siu Kai , Ho Ho Pui
Published: March 2019

The surface plasmon resonance (SPR) sensor is an important tool widely used for studying binding kinetics between biomolecular species. The SPR approach offers unique advantages in light of its real-time and label-free sensing capabilities. Until now, nearly all established SPR instrumentation schemes are based on single- or several-channel configurations. With the emergence of drug screening and investigation of biomolecular interactions on a massive scale these days for finding more effective treatments of diseases, there is a growing demand for the development of high-throughput 2-D SPR sensor arrays based on imaging. The so-called SPR imaging (SPRi) approach has been explored intensively in recent years. This review aims to provide an up-to-date and concise summary of recent advances in SPRi. The specific focuses are on practical instrumentation designs and their respective biosensing applications in relation to molecular sensing, healthcare testing, and environmental screening.
Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation
Authors: Akintoye Samson Busuyi , Bagula Antoine
Published: March 2019

Recently, a massive migration of enterprise applications to the cloud has been recorded in the IT world. One of the challenges of cloud computing is Quality-of-Service management, which includes the adoption of appropriate methods for allocating cloud-user applications to virtual resources, and virtual resources to the physical resources. The effective allocation of resources in cloud data centers is also one of the vital optimization problems in cloud computing, particularly when the cloud service infrastructures are built by lightweight computing devices. In this paper, we formulate and present the task allocation and virtual machine placement problems in a single cloud/fog computing environment, and propose a task allocation algorithmic solution and a Genetic Algorithm Based Virtual Machine Placement as solutions for the task allocation and virtual machine placement problem models. Finally, the experiments are carried out and the results show that the proposed solutions improve Quality-of-Service in the cloud/fog computing environment in terms of the allocation cost.
A Breakthrough Application of a Cross-Linked Polystyrene Anion-Exchange Membrane for a Hydrogencarbonate Ion-Selective Electrode
Authors: Dabrowska Sylwia , Migdalski Jan , Lewenstam Andrzej
Published: March 2019

Polystyrene cross-linked with divinylbenzene and functionalized by a quaternary ammonium cation anion site is used as the membrane of a hydrogencarbonate (i.e., bicarbonate) ion-selective electrode. The polystyrene matrix membrane improves the selectivity towards interfering lipophilic ions in comparison to previously described polyvinyl chloride membranes. The reason for this behaviour is sought in coupled ion-exchange and pore-diffusion processes in the membrane and the resulting kinetic discrimination of interfering ions. The electrode is successfully used for determination of bicarbonates in mineral drinking waters. The simplex method is employed to refine the analytical outcome.
A Multi-Module Electrodynamic Exciter with a Variable Pole-Arc Ratio Disk Halbach Array for a High-Bandwidth Dynamic Torsional Stiffness Test
Authors: Yuan Fang , Zeng Lizhan , Chen Xuedong , Liang Chengyuan , Ding Xiaojun , Luo Xin
Published: March 2019

In this paper, a multi-module electrodynamic exciter based on moving-magnet disk voice coil motor is presented to meet the demands of high torque and high bandwidth in a dynamic torsional stiffness test. A variable pole-arc ratio disk Halbach array (VPAR-DHA) is proposed, so that both high torque density and low rotor inertia can be obtained through enhancing the magnetic field in the working range. The analytical quasi-3-D model of VPAR-DHA was set up by using the harmonic function method, with the consideration of end-effects by a correction function. Electromagnetic structure optimization was carried out with the analytical model, and verified by 3-D finite-element (FEM) results. The proposed design was experimentally tested and verified with a prototype that achieved a peak dynamic torque output of 40 Nm at a frequency of 120 Hz, and a stroke of ±1°. The proposed method can also be easily extended to satisfy various demands of dynamic torsional stiffness test.
Design and Analysis of a Continuously Tunable Low Noise Amplifier for Software Defined Radio
Authors: Aneja Aayush , Li Xue Jun
Published: March 2019

This paper presents the design and analysis of a continuously tunable low noise amplifier (LNA) with an operating frequency from 2.2 GHz to 2.8 GHz. Continuous tuning is achieved through a radio frequency impedance transformer network in the input matching stage. The proposed circuit consists of four stages, namely transformer stage, tuning stage, phase shifter and gain stage. Frequency tuning is controlled by varying output current through bias voltage of tuning stage. The circuit includes an active phase shifter in the feedback path of amplifier to shift the phase of the amplified signal. Phase shift is required to further achieve tunability through transformer. The LNA achieves a maximum simulated gain of 18 dB. The LNA attains a perfect impedance match across the tuning range with stable operation. In addition, it achieves a minimum noise figure of 1.4 dB.
A Technological Review of Wearable Cueing Devices Addressing Freezing of Gait in Parkinson’s Disease
Authors: Sweeney Dean , Quinlan Leo R. , Browne Patrick , Richardson Margaret , Meskell Pauline , ÓLaighin Gearóid
Published: March 2019

Freezing of gait is one of the most debilitating symptoms of Parkinson’s disease and is an important contributor to falls, leading to it being a major cause of hospitalization and nursing home admissions. When the management of freezing episodes cannot be achieved through medication or surgery, non-pharmacological methods such as cueing have received attention in recent years. Novel cueing systems were developed over the last decade and have been evaluated predominantly in laboratory settings. However, to provide benefit to people with Parkinson’s and improve their quality of life, these systems must have the potential to be used at home as a self-administer intervention. This paper aims to provide a technological review of the literature related to wearable cueing systems and it focuses on current auditory, visual and somatosensory cueing systems, which may provide a suitable intervention for use in home-based environments. The paper describes the technical operation and effectiveness of the different cueing systems in overcoming freezing of gait. The “What Works Clearinghouse (WWC)” tool was used to assess the quality of each study described. The paper findings should prove instructive for further researchers looking to enhance the effectiveness of future cueing systems.
ANN-Based Soft Sensor to Predict Effluent Violations in Wastewater Treatment Plants
Authors: Pisa Ivan , Santín Ignacio , Vicario Jose Lopez , Morell Antoni , Vilanova Ramon
Published: March 2019

Wastewater treatment plants (WWTPs) form an industry whose main goal is to reduce water’s pollutant products, which are harmful to the environment at high concentrations. In addition, regulations are applied by administrations to limit pollutant concentrations in effluent. In this context, control strategies have been adopted by WWTPs to avoid violating these limits; however, some violations still occur. For that reason, this work proposes the deployment of an artificial neural network (ANN)-based soft sensor in which a Long-Short Term Memory (LSTM) network is used to generate predictions of nitrogen-derived components, specifically ammonium ( S N H ) and total nitrogen ( S N t o t ). S N t o t is a limiting nutrient and can therefore cause eutrophication, while nitrogen in the S N H form is toxic to aquatic life. These parameters are used by control strategies to allow actions to be taken in advance and only when violations are predicted. Since predictions complement control strategies, the evaluation of the ANN-based soft sensor was carried out using the Benchmark Simulation Model N.2. (BSM2) and three different control strategies (from low to high control complexity). Results show that our proposed method is able to predict nitrogen-derived products with good accuracy: the probability of detecting violations of BSM2’s limits is 86–94%. Moreover, the prediction accuracy can be improved by calibrating the soft sensor; for example, perfect prediction of all future violations can be achieved at the expense of increasing the false positive rate.
Natural Occurrence and Co-Contamination of Twelve Mycotoxins in Industry-Submitted Cool-Season Cereal Grains Grown under a Low Heat Unit Climate Condition
Authors: Shi Haitao , Schwab Warren , Yu Peiqiang
Published: March 2019

This study aims to evaluate the prevalence of mycotoxins in industry-submitted cool-season barley and wheat grown under low heat unit climate conditions. Seventy-two barley samples and 83 wheat samples were submitted by producers and industry from May 2016 to May 2017. The concentrations of twelve common mycotoxins, including nivalenol (NIV), deoxynivalenol (DON), 3-acetyldeoxynivalenol (3-ADON), 15-acetyldeoxynivalenol (15-ADON), ochratoxin A (OTA), zearalenone (ZEN), α-zearalenol (α-ZAL), β-zearalenol (β-ZAL), diacetoxyscirpenol (DAS), T-2 toxin (T-2), HT-2 toxin (HT-2), and aflatoxin B1 (AFB1), were determined using the liquid chromatography/tandem mass spectrometry method. Mycotoxins were detected in 40 barley (56%) and 35 wheat (42%) samples submitted by producers and industry. DON showed the highest incidence in barley (44%) and wheat (33%). None of the barley samples contained detectable DAS and no wheat samples tested positive for α-ZAL, DAS, T-2, or AFB1. Co-occurrence of DON and other mycotoxins was frequently observed. Among the mycotoxin-positive samples, 70% of barley samples and 54% of wheat samples were co-contaminated with at least two mycotoxins. Four barley (6%) and five wheat (6%) samples contained levels of DON above 1000 μg/kg (regulatory level in diets for lactating dairy animals) and HT-2 content in five barley (7%) and four wheat (5%) samples exceeded 100 μg/kg (regulatory level in diets for cattle and poultry). Overall, contamination of these mycotoxins was more frequent and more severe in barley in comparison with wheat that was submitted by producers and industry. Comprehensive strategies, including the prevention of Fusarium toxins contamination, the routine monitoring of their prevalence, the detoxification of them in feed and food, as well as the inhibition of their absorption in the gastrointestinal tract, are highly required. A rapid detection method needs to be developed to screen mycotoxins in industry-submitted cool-season cereal grains.
A SIMULATION APPROACH TO RELIABILITY ASSESSMENT OF PLASTIC FRAMES/VIENAS PLASTINIŲ RĖMŲ PATIKIMUMO VERTI NIMO STOCHASTINIU MODELIAVIMU BŪDAS
Authors: Vaidogas Egidijus R.
Published: March 2019

Straipsnyje nagrinėjamas plastinių rėmų patikimumo vertinimas stochastinio modeliavimo metodu, kuris vadinamas radialiniu ėmimu. Patikimumo problema yra formuluojama apkrovų erdvėje. Naudojamas faktas, kad daugeliui praktinių problemų apkrovų erdvės dimensija yra gerokai mažesnė už bazinių kintamųjų erdvės dimensiją. Plastinės avarijos tikimybė vertinama naudojantis proporcingo apkrovos didinimo metodu. Atsisakoma apkrovų erdvės diskretizavimo pagal apkrovų proporcijas. Deterministiniu rėmų mechaniniu modeliu parinktas statinės formuluotės uždavinys, turintis tiesinio programavimo uždavinio formą. Plastinės avarijos vertinimui naudojama radialinio ėmimo ir tiesinio programavimo uždavinio kombinacija. Jungiamoji grandis tarp radialinio ėmimo ir mechaninio modelio yra apkrovos krypčių ir pasiskirstymo vektorius, kuris išreiškiamas kaip krypties kosinusų vektorius.
CAN POLAND BUILD CONVENTIONAL DETERRENCE CAPABILITY AGAINST RUSSIA?
Authors: KOPEĆ Rafał
Published: March 2019

Russian military intervention in Ukraine has discredited the paradigm of low probability of armed conflict in Europe in the short and medium term. In Poland's case, the only adversary is Russia, enjoying the quantitative military advantage and, in certain cases, also the qualitative superiority. The aim of the paper is to analyse the possibilities to establish conventional deterrence capability against Russia. The study has been carried out from the military perspective, although the political context has been also portrayed. The analysis is designed as a confrontation of main assumptions of the deterrence concept with specific circumstance of Polish-Russian military relations. It leads to the evaluation of particular, available for Poland, measures as effective tools of deterrence.
APP Design of Energy Monitoring in Smart Campus Based on Android System
Authors: Zheng Wenbin , Yang Zhe , Feng Lei , Fu Ping , Shi Jinlong
Published: March 2019

Smart Campus is an intelligent and smart environment of teaching, learning and living. It is built on the Internet of Things and application services. Colleges and universities are devoted to the construction and development of the smart campus and have completed some digital campuses of different sizes. However, there are still some problems in the current construction and development process, such as low degree of intelligence, free intelligent functions, energy and resource monitoring is still in the traditional mode of non-intelligent management, the functions of terminal application are still simple, can’t keep up with the intelligent development of the campus. In order to help promote the development of smart campus, we designed a database, smart campus mobile terminal APP. The smart campus APP is based on Android system to monitor and control energy and other nodes in the campus. The monitoring method is real-time, clear and efficient. In addition, smart dormitory, smart classroom and smart map function have also been designed to provide a more convenient and safe living environment for teachers and students in our school. And this APP has laid a solid foundation for establishing a smart, efficient, open, harmonious, humane and safe campus.
The Design of Robotic Arm Adaptive Fuzzy Controller Based on Oscillator and Differentiator
Authors: Min Wan , Qinglan Tian , Chuanhong Sun , Xiuyuan Yi
Published: March 2019

State variables are acquired when tracking the trace of the robotic arm with adaptive fuzzy controller. Since some variables are difficult to or cannot be measured directly, we introduced the second order oscillator and the second order differentiator that converges in finite time to obtain the value of each state variable. In this paper, a model based on the dynamics analysis of robotic arm was build to design the second order oscillator and the second order differentiator that converges in finite time to obtain the value of each state variable. The designed adaptive fuzzy controller for robotic arm achieved high accuracy in trace tracking. Simulation results of two-link robotic arm show the adaptive fuzzy controller for robotic arm based on differentiators is adaptable, flexible. This controller is simple to design, easy to implement, and has a good value for the application of robotic arm system.
Entendiendo la programación visual en el desarrollo de videojuegos
Authors: Roque López Miguel Ángel
Published: March 2019

Este artículo sintetiza la experiencia en programación visual adquirida durante los últimos años por el grupo de investigación IDECA (investigación y desarrollo de contenidos audiovisuales) en el desarrollo de proyectos audiovisuales y videojuegos. Para ello, nos sumergimos en el proceso de creación de un videojuego a través del análisis de dos de los principales entornos de desarrollo basados en programación visual Blender y Unreal Engine. Por medio del estudio del funcionamiento de los Bloques de lógica utilizados en Blender, y del sistema nodular de Blueprints empleado por Unreal Engine, observaremos cómo la programación visual se ha convertido en el referente dentro del desarrollo de videojuegos. Analizaremos y compararemos las similitudes y diferencias entre ambos entornos, con el fin de comprender ante qué proyectos utilizar cada uno de ellos con más garantías de éxito.
Radiological Manifestations of Obstructed Hemivagina and Ipsilateral Renal Anomaly Syndrome: A Rare Complex Müllerian and Wolffian Duct Anomaly
Authors: Patil Tushar , Khurjekar Devarati , Ojha Vikash
Published: March 2019

Obstructed hemivagina and ipsilateral renal anomaly (OHVIRA) syndrome is a rare complex Müllerian and Wolffian duct anomaly. It is also known as Herlyn–Werner–Wunderlich syndrome (HWWS). It includes unilateral renal anomalies and uterine didelphys. It generally occurs at puberty and exhibits non-specific and variable symptoms with acute or pelvic pain shortly following menarche, causing a delay in the diagnosis. We report here a 16-year-old female presenting with progressive cyclical pelvic pain, where magnetic resonance imaging (MRI) suggested the diagnosis of the OHVIRA syndrome. She was managed by surgical resection of the septum and draining of the obstructed vagina.
Impact of the Green Light Program on haze pollution in the North China Plain, China
Authors: Long Xin , Tie Xuexi , Zhou Jiamao , Dai Wenting , Li Xueke , Feng Tian , Li Guohui , Cao Junji , An Zhisheng
Published: March 2019

Abstract. As the world's largest developing country, China undergoes the ever-increasing demand for electricity during the past few decades. In 1996, China launched the Green Lights Program (GLP), which becomes a national energy conservation activity for saving lighting electricity, as well as an effective reduction of the coal consumption for power generation. Despite of the great success of the GLP, its effects on haze pollution have not been investigated and well understood. This study focused to assess the potential coal-saving induced by the GLP and to estimate the consequent improvements of the haze pollutions in the North China Plain (NCP), because severe haze pollutions often occur in the NCP and a large amount of power plants locate in this region. The estimated potential coal-saving induced by the GLP can reach a massive value of 120–323 million tons, accounting for 6.7–18.0 % of the total coal consumption for thermal power generation in China. In December 2015, there was a massive potential emission reduction of air pollutants from thermal power generation in the NCP, which was estimated to be 20.0–53.8 Gg for NOx and 6.9–18.7 Gg for SO2. The potential emission reductions induced by the GLP played important roles in the haze formation, because the NOx and SO2 are important precursors for the formation of particles. To assess the impact of the GLP on haze pollution, sensitive studies were conducted by applying a regional chemical/dynamical model (WRF-CHEM). The model results suggest that in the lower limit case of emission reduction, the PM2.5 concentration decreases by 2–5 µg m−3 in large areas of the NCP. In the upper limit case of emission reduction, there was much more remarkable decrease in PM2.5 concentration (4–10 µg m−3). This study is a good example to illustrate that scientific innovation can induce important benefits on environment issues, such as haze pollution.
Analysis of water distribution network under pressure-deficient conditions through emitter setting
Authors: Conety Ravi Suribabu , Thurvas Renganathan Neelakantan , Perumal Sivakumar , Paez Diego
Published: March 2019

Abstract. Pressure-driven analysis (PDA) of water distribution networks necessitates an assessment of the supplying capacity of a network within the minimum and required pressure ranges. Pressure-deficient conditions happen due to the uncertainty of nodal demands, failure of electromechanical components, diversion of water, aging of pipes, permanent increase in the demand at certain supply nodes, fire demand, etc. As the demand-driven analysis (DDA) solves the governing equations without any bound on pressure head, it fails to replicate the real scenario, particularly when the network experiences pressure-deficient situations. Numerous researchers formulated different head–discharge relations and used them iteratively with demand-driven software, while some other approaches solve them by incorporating this relation within the analysis algorithms. Several attempts have been made by adding fictitious network elements like reservoirs, check valves (CVs), flow control valves (FCVs), emitters, dummy nodes and pipes of negligible length (i.e., negligible pressure loss) to assess the supplying capability of a network under pressure-deficient conditions using demand-driven simulation software. This paper illustrates a simple way of assessing the supplying capacity of demand nodes (DNs) under pressure-deficient conditions by assigning the respective emitter coefficient only for those nodes facing a pressure-deficit condition. The proposed method is tested with three benchmark networks, and it is able to simulate the network without addition of any fictitious network elements or changing the source code of the software like EPANET. Though the proposed approach is an iterative one, the computational burden of adding artificial elements in the other methods is avoided and is hence useful for analyzing large networks.
As haitianas na escola: o peso do passado, a dureza do presente e a esperança no futuro
Authors: Anselmo Guilherme Alexandre , Rech da Silva Lucas , Caetano Nardi Henrique
Published: March 2019

Este artigo, fruto do recorte de um estudo de caso, tem como objetivo abordar a violência de gênero no contexto migratório haitiano para o sul do Brasil analisando as trajetórias e o cotidiano de duas jovens estudantes haitianas, por meio de entrevistas realizadas utilizando os princípios da história oral . Para isso, levantamos um breve histórico do significado da migração (diáspora) para o povo haitiano e as mudanças epistemológicas no campo de estudos migratórios no que tange a presença da mulher nestes estudos, para então, refletirmos sobre a violência de gênero evidenciada nas narrativas das estudantes participantes da pesquisa e de como a instituição escolar não têm atuado nessa questão.
História da educação de surdos e as atuais perspectivas para o ensino de habilidades de leitura e escrita
Authors: Maria de Sá e Silva da Cruz Osilene , Maria do Prado Luz Meireles Rosana
Published: March 2019

Estudos sobre a educação de surdos e surdez vem sendo amplificados nas últimas décadas, corroborando para a consolidação dos direitos da comunidade surda, principalmente no que se refere ao reconhecimento da Língua Brasileira de Sinais como meio de comunicação e expressão desse sujeito. Apesar desses avanços, ainda são evidentes percalços no que se refere ao ensino de língua portuguesa escrita, devido, principalmente, à limitação de estratégias do professor e do uso de material didático adequado para contemplar as necessidades do aprendiz surdo. Esta pesquisa, de cunho exploratório (GIL, 2002), propõe uma reflexão sobre a trajetória histórica da educação de surdos no Brasil, destacando também questões referentes à educação inclusiva. A partir de pesquisas sobre inclusão, como Goldfeld (2002), ensino de Líbras e de Língua Portuguesa para surdos (QUADROS, 1996; QUADROS E SCHMIEDT, 2006; PEREIRA, 2014, entre outros), são apresentadas algumas propostas de ensino de leitura e escrita para surdos, elaboradas em uma perspectiva bilíngue de ensino.
Modeling Cultural Content for Outreach Programs in Marginalized Communities in Asia: A Case Study of South Korea
Authors: Lee Sung Jin , Oh Jae-Eun
Published: March 2019

Wherever quality of life continues to improve, people turn to cultural and artistic pursuits to enhance their life experience. Hence, cultural and art education is encouraged in museums, galleries, and schools for public benefit and enjoyment regardless of differing social classes. Cultural content has developed since the beginning of culture itself, and education related to this content is crucial as it can improve public perspectives. However, many culturally alienated groups still exist due to financial difficulties, disabilities, or living in remote areas, and they lack fair opportunities to enjoy culture and art. The polarization between these groups and culturally-benefited classes continues to increase.

Outreach programs have been conducted by museums and galleries as ‘visiting classes’ for those who find it difficult to visit traditional venues. Using Dewey’s educational philosophy and four different case studies, this study provides an in-depth examination of outreach programs and suggests a model for Asian countries by focusing on South Korea. The findings seek to aid ongoing educational efforts to create long-term effects for the public’s benefit.
Assessment of the intensity of procedural pain in newborns treated in the intensive care unit measured by the Neonatal Infant Pain Scale (NIPS)
Authors: Bomersbach A. , Sochocka L.
Published: March 2019

Introduction: Newborns born prematurely and treated in intensive care units are at greater risk of experiencing pain than patients treated in other units. Purpose: To evaluate the severity of pain perceived by children during the performance of medical procedures related to the treatment and care process. Materials and methods: The study was conducted at one of the Intensive Care Units in Opole. The study group consisted of 100 newborns, 60% of the subjects were prematurely born newborns, and 40% - were full-term. The degree of procedural pain associated with blood collection, peripheral puncture insertion, upper respiratory tract suction, gastric tube insertion and ophthalmic examination was assessed by an observation method using the standard Neonatal Infant Pain Scale Form (NIPS). Results: Out of the analysed medical procedures, 100% of children experienced acute, severe pain over the course of suction and ophthalmological examination. The highest perception of pain was experienced by 88.3% of premature newborns and 71.8% of full-term newborns. Over the course of medical procedures, 84% of male and 79.6% female newborns experienced acute pain. It was shown that the degree of pain perception was determined by the type of performed medical procedure (p=0.001) and the gestational age of the newborn (p=0.037). On the other hand, there was no correlation between the sex of the newborn child and the degree of pain perception (p=0.758). Conclusions: Based on the foregoing study result, bearing in mind the need to minimise the effects of pain stimulation, it seems important to use standardised tools to assess the severity of pain in newborns treated in Intensive Care Units on a larger scale.
Evaluation of the quality of life of patients with osteoarthritis
Authors: Niczyporuk M. , Kłossowska J. , Kleszczewska E. , Shpakou A. , Knaś M.
Published: March 2019

Purpose: The tools for measuring objective quality of life include research regarding the conditions of a successful life and life satisfaction. Osteoarthritis (OA) is characterized by progressive degradation and loss of articular cartilage as well as abnormal bone growth and remodeling, located directly under the cartilage. The aim of this study is to answer the question on which level OA patients perceive their quality of life dependent on health.

Material and methods: The Polish version of the HAQ questionnaire, assessing the quality of life over the past week, was used for overall assessment of quality of life. The Polish version of the AIMS-2 questionnaire was used as a specific questionnaire for assessing the health status of patients with osteoarthritis. Surveys were conducted in a group of 240 people.

Results: The quality of life dependent on health is significantly reduced in the group of healthy people who take painkillers sporadically because of other reasons and in the OA pateints group compared to the control group, the same as in the OA pateints group compared to the group of healthy people who take painkillers sporadically for other reasons.

Conclusions: According to the answers from the questionnaire, patients with OA seek different forms of improving their quality of life. It is important to change their lifestyle (weight reduction, using a bench-mounted bike, walking stick or walking frame), reducing the surface area of the joints, reducing the defective position of the limb axis. Exercises that increase muscle mass and exercises to improve joint mobility should be introduced. It is advisable to refer the OA patient for physical therapy and/or balneotherapy.
Possibility to control anxiety and pain in endodontic dental treatment – review
Authors: Stanulewicz E. , Dąbrowska E. , Olszański K. , Borowski K. , Rosłan K.
Published: March 2019

Modern dentistry aims to limit the unpleasant feeling of pain, associated with dental procedures during treatment in the dental office. There are many ways to reduce pain during dental procedures. Endodontic treatment, necessary in irreversible pulpitis, should be completed during one visit. Removal of the inflamed pulp from cavity and root canals is often accompanied by pain. The study aimed to introduce, based on literature, methods of relieving anxiety and pain accompanying dental treatment procedures, including endodontic treatment, as well as the description of applied measures. According to the modern literature, this research compares methodology and results of the anesthetic and anxiety treatment in the dental office, especially in endodontic treatment.
Degradation of the pharmaceuticals nimesulide and ibuprofen using photo-Fenton process: toxicity studies, kinetic modeling and use of artificial neural networks
Authors: Monteiro Rubens Teles , Santana Rayany Magali da Rocha , Silva Ana Maria Ribeiro Bastos da , Lucena Alex Leandro Andrade de , Zaidan Léa Elias Mendes Carneiro , Silva Valdinete Lins da , Napoleão Daniella Carla
Published: March 2019

The growth of pollution in aquatic environments increases every day, causing compounds like pharmaceuticas to be detected in surface waters. Thus, tecniques such as advanced oxidation processes (AOP) have been used to degrade this compounds. In this work, the efficiency of AOP in the degradation of nimesulide and ibuprofen pharmaceuticals was evaluated through chromatographic analysis as well as organic matter through the levels of chemical oxygen demand (COD) and total organic carbon (TOC). It was verified that the photo-Fenton process presented the bests results, degrading 89.70% of nimesulide and 93.35% of ibuprofen. This same process managed to reduce COD by 91.60% and mineralize 90.04% of the TOC. The kinetic study showed a good linear fit (R2=0.993) for the clustered kinetic model, as well as a good fit to the mathematical model of artificial neural networks (ANNs), with a value of R2=1.000 for the MLP4-4-1 BFGS 4567 model. Finally, the toxicity of the solution after treatment was verified against the seeds of Lactuta sativa, Cichorium endívia, Ocimum basilicum and American Hard grain. It was found that the seeds that received the solution before treatment had a lower germination amount than the ones where the post AOP treatment solution was added. Then, the root growth was evaluated, in which a relative toxic effect was observed.
Literatura y realidad: el cuento maravilloso
Authors: Zapata Navarro Ana
Published: March 2019

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Carlota O 'Neill : una mujer en la Guerra
Authors: Perpén Rueda Adoración , Moga Romero Vicente
Published: March 2019

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El Peñón de Vélez de la Gomera en 1743 : la ciudadela y la peste negra
Authors: Moga Romero Vicente
Published: March 2019

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Álbum gráfico del Peñón de Vélez de la Gomera
Authors: Aldaba Aldaba
Published: March 2019

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