bluuebunny/crossref_metadata_2025 huggingface dataset:
Self-Localization of Mobile Robots Using a Single Catadioptric Camera with Line Feature Extraction
Authors: Lin Huei-Yung , Chung Yuan-Chi , Wang Ming-Liang
Published: July 2021

This paper presents a novel self-localization technique for mobile robots using a central catadioptric camera. A unified sphere model for the image projection is derived by the catadioptric camera calibration. The geometric property of the camera projection model is utilized to obtain the intersections of the vertical lines and ground plane in the scene. Different from the conventional stereo vision techniques, the feature points are projected onto a known planar surface, and the plane equation is used for depth computation. The 3D coordinates of the base points on the ground are calculated using the consecutive image frames. The derivation of motion trajectory is then carried out based on the computation of rotation and translation between the robot positions. We develop an algorithm for feature correspondence matching based on the invariability of the structure in the 3D space. The experimental results obtained using the real scene images have demonstrated the feasibility of the proposed method for mobile robot localization applications.
ASNet: Auto-Augmented Siamese Neural Network for Action Recognition
Authors: Zhang Yujia , Po Lai-Man , Xiong Jingjing , REHMAN Yasar Abbas Ur , Cheung Kwok-Wai
Published: July 2021

Human action recognition methods in videos based on deep convolutional neural networks usually use random cropping or its variants for data augmentation. However, this traditional data augmentation approach may generate many non-informative samples (video patches covering only a small part of the foreground or only the background) that are not related to a specific action. These samples can be regarded as noisy samples with incorrect labels, which reduces the overall action recognition performance. In this paper, we attempt to mitigate the impact of noisy samples by proposing an Auto-augmented Siamese Neural Network (ASNet). In this framework, we propose backpropagating salient patches and randomly cropped samples in the same iteration to perform gradient compensation to alleviate the adverse gradient effects of non-informative samples. Salient patches refer to the samples containing critical information for human action recognition. The generation of salient patches is formulated as a Markov decision process, and a reinforcement learning agent called SPA (Salient Patch Agent) is introduced to extract patches in a weakly supervised manner without extra labels. Extensive experiments were conducted on two well-known datasets UCF-101 and HMDB-51 to verify the effectiveness of the proposed SPA and ASNet.
Attred: Attribute Based Resource Discovery for IoT
Authors: Kamel Mohammed B. M. , Yan Yuping , Ligeti Peter , Reich Christoph
Published: July 2021

While the number of devices connected together as the Internet of Things (IoT) is growing, the demand for an efficient and secure model of resource discovery in IoT is increasing. An efficient resource discovery model distributes the registration and discovery workload among many nodes and allow the resources to be discovered based on their attributes. In most cases this discovery ability should be restricted to a number of clients based on their attributes, otherwise, any client in the system can discover any registered resource. In a binary discovery policy, any client with the shared secret key can discover and decrypt the address data of a registered resource regardless of the attributes of the client. In this paper we propose Attred, a decentralized resource discovery model using the Region-based Distributed Hash Table (RDHT) that allows secure and location-aware discovery of the resources in IoT network. Using Attribute Based Encryption (ABE) and based on predefined discovery policies by the resources, Attred allows clients only by their inherent attributes, to discover the resources in the network. Attred distributes the workload of key generations and resource registration and reduces the risk of central authority management. In addition, some of the heavy computations in our proposed model can be securely distributed using secret sharing that allows a more efficient resource registration, without affecting the required security properties. The performance analysis results showed that the distributed computation can significantly reduce the computation cost while maintaining the functionality. The performance and security analysis results also showed that our model can efficiently provide the required security properties of discovery correctness, soundness, resource privacy and client privacy.
Modeling the Conductivity Response to NO2 Gas of Films Based on MWCNT Networks
Authors: Fort Ada , Mugnaini Marco , Panzardi Enza , Lo Grasso Anna , Al Hamry Ammar , Adiraju Anurag , Vignoli Valerio , Kanoun Olfa
Published: July 2021

This work proposes a model describing the dynamic behavior of sensing films based on functionalized MWCNT networks in terms of conductivity when exposed to time-variable concentrations of NO2 and operating with variable working temperatures. To test the proposed model, disordered networks of MWCNTs functionalized with COOH and Au nanoparticles were exploited. The model is derived from theoretical descriptions of the electronic transport in the nanotube network, of the NO2 chemisorption reaction and of the interaction of these two phenomena. The model is numerically implemented and then identified by estimating all the chemical/physical quantities involved and acting as parameters, through a model fitting procedure. Satisfactory results were obtained in the fitting process, and the identified model was used to further the analysis of the MWCNT sensing in dynamical conditions.
A Novel Approach to Calculate the Spatial–Temporal Correlation for Traffic Flow Based on the Structure of Urban Road Networks and Traffic Dynamic Theory
Authors: Du Mao , Yang Lin , Tu Jiayu
Published: July 2021

Determining the spatial–temporal correlation (STC) between roads can help clarify the operation characteristics of road traffic. Moreover, this correlation affects the utilization quality of traffic data in related research fields. Therefore, it is of significance to provide more reasonable correlation information for other research, such as in traffic speed prediction. Most of the traditional correlation calculation methods for traffic are based on only statistical theory. These methods are simple, but their ability to explain the actual phenomenon is limited due to the lack of consideration of the actual traffic operation characteristics. Therefore, to provide more reasonable correlation information between roads, this paper analysed the influence mechanism of urban traffic based on the traffic dynamic model, and two parameters, traffic complete influence time and traffic correlation strength, were proposed to bring physical meaning to the calculation of STC. Then, an improved calculation model of the STC between different roads considering the adjacency between roads was proposed in this paper. Finally, this paper verified this method against two common traditional methods through different experiments. The verification results show that the calculation method proposed in this paper has better interpretability for the STC between different roads and can better reveal the internal traffic operation characteristics of the road network.
A New Pattern Quality Assessment Criterion and Defocusing Degree Determination of Laser Speckle Correlation Method
Authors: Hu Wenxin , Sheng Zhipeng , Yan Keyu , Miao Hong , Fu Yu
Published: July 2021

The laser speckle correlation method has found widespread application for obtaining information from vibrating objects. However, the resolution and accuracy of the laser speckle correlation method as they relate to the defocusing degree have not been analyzed sufficiently. Furthermore, the possible methods for speckle pattern quality assessment and enhancement have not been studied. In this study, the resolution and accuracy of the laser speckle correlation method are analyzed, and it is found that they are affected by the defocusing degree and speckle pattern quality, respectively. A new speckle pattern quality criterion combining the mean intensity gradient and frequency spectrum was proposed, called CMZ. The quality of the speckle pattern is higher when the CMZ is closer to zero. The proposed criterion was verified by simulated speckle patterns and real speckle patterns with different speckle sizes, densities, and gray contrasts. In the experimental setup stage, a suitable defocusing degree can be selected based on the resolution requirement and optimal speckle size, and other experimental parameters can be determined according to the CMZ criterion. Rotation and vibration experiments verified the effectiveness of the laser speckle correlation method and confirmed the reliability of the experiment preparation based on proposed CMZ criterion.
Reconfigurable Antenna Array Direction Finding System Based on a Fast Search Algorithm
Authors: Liu Chunxi , Peng Dongliang , Chen Zhikun , Wu Yong , Wang Binan
Published: July 2021

In a traditional antenna array direction finding system, all the antenna sensors need to work or shut down at the same time, which often leads to signal crosstalk, signal distortion, and other electromagnetic compatibility problems. In addition, the direction-finding algorithm in a traditional system needs a tremendous spectral search, which consumes considerable time. To compensate for these deficiencies, a reconfigurable antenna array direction finding system is established in this paper. This system can dynamically load part or all of the antennas through microwave switches (such as a PIN diode) and conduct a fast direction of arrival (DOA) search. First, the hardware structure of the reconfigurable antenna is constructed. Then, based on the conventional spatial domain search algorithm, an improved transform domain (TD) search algorithm is proposed. The effectiveness of the system has been proven by real experiments, and the advantage of the system has been verified by detailed simulations.
Carbon/Silicone Nanocomposite-Enabled Soft Pressure Sensors with a Liquid-Filled Cell Structure Design for Low Pressure Measurement
Authors: Wang Fei , Tao Xiaoming
Published: July 2021

In the fields of humanoid robots, soft robotics, and wearable electronics, the development of artificial skins entails pressure sensors that are low in modulus, high in sensitivity, and minimal in hysteresis. However, few sensors in the literature can meet all the three requirements, especially in the low pressure range (<10 kPa). This article presents a design for such pressure sensors. The bioinspired liquid-filled cell-type structural design endows the sensor with appropriate softness (Young’s modulus < 230 kPa) and high sensitivity (highest at 0.7 kPa−1) to compression forces below 0.65 N (6.8 kPa). The low-end detection limit is ~0.0012 N (13 Pa), only triple the mass of a bee. Minimal resistance hysteresis of the pressure sensor is 7.7%. The low hysteresis is attributed to the study on the carbon/silicone nanocomposite, which reveals the effect of heat treatment on its mechanical and electromechanical hysteresis. Pressure measurement range and sensitivity of the sensor can be tuned by changing the structure and strain gauge parameters. This concept of sensor design, when combined with microfluidics technology, is expected to enable soft, stretchable, and highly precise touch-sensitive artificial skins.
SLAM-OR: Simultaneous Localization, Mapping and Object Recognition Using Video Sensors Data in Open Environments from the Sparse Points Cloud
Authors: Mazurek Patryk , Hachaj Tomasz
Published: July 2021

In this paper, we propose a novel approach that enables simultaneous localization, mapping (SLAM) and objects recognition using visual sensors data in open environments that is capable to work on sparse data point clouds. In the proposed algorithm the ORB-SLAM uses the current and previous monocular visual sensors video frame to determine observer position and to determine a cloud of points that represent objects in the environment, while the deep neural network uses the current frame to detect and recognize objects (OR). In the next step, the sparse point cloud returned from the SLAM algorithm is compared with the area recognized by the OR network. Because each point from the 3D map has its counterpart in the current frame, therefore the filtration of points matching the area recognized by the OR algorithm is performed. The clustering algorithm determines areas in which points are densely distributed in order to detect spatial positions of objects detected by OR. Then by using principal component analysis (PCA)—based heuristic we estimate bounding boxes of detected objects. The image processing pipeline that uses sparse point clouds generated by SLAM in order to determine positions of objects recognized by deep neural network and mentioned PCA heuristic are main novelties of our solution. In contrary to state-of-the-art approaches, our algorithm does not require any additional calculations like generation of dense point clouds for objects positioning, which highly simplifies the task. We have evaluated our research on large benchmark dataset using various state-of-the-art OR architectures (YOLO, MobileNet, RetinaNet) and clustering algorithms (DBSCAN and OPTICS) obtaining promising results. Both our source codes and evaluation data sets are available for download, so our results can be easily reproduced.
A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction
Authors: Suo Yongfeng , Sun Zhihong , Claramunt Christophe , Yang Shenhua , Zhang Zhibing
Published: July 2021

The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objective of which is to analyze and evaluate real-time maritime traffic risks in port environments. The first component is the design of a CA model to monitor ships’ behavior and maritime fairway traffic. The second component is the refinement of the modelling approach by combining a cloud model with expert knowledge. The third component establishes a risk assessment model based on a fuzzy comprehensive evaluation. A typical scenario was experimentally implemented to validate the model’s efficiency and operationality.
Intelligent Biosignal Analysis Methods
Authors: Jovic Alan
Published: July 2021

This Editorial presents the accepted manuscripts for the special issue “Intelligent Biosignal Analysis Methods” of the Sensors MDPI journal [...]
Data Mining for Attitudinal and Belief Profiles Determination towards Hypnosis
Authors: Franquelo María Auxiliadora , Pastrana-Brincones Jose Luis , Reigal Rafael E. , Morillo-Baro Juan P. , Vázquez-Diz Juan A. , Hernández-Mendo Antonio , Morales-Sánchez Verónica
Published: July 2021

Data mining is a technique that aims to explain large data sets through patterns of behavior, associations, changes, or significant structures in the data. The main goal of this study was to analyze information about beliefs and attitudes towards hypnosis, evaluated by the Valencia Scale of Attitudes and Beliefs Toward Hypnosis, Client version (VSABTH-C) in two temporal moments with a total of 444 participants; developing decision trees in order to discover any sociodemographic factors influencing these variables. The results indicate some influence of gender, education level, and profession on the scores in the scale factors, thus women tended to get higher scores on factors such as Control and Fear; people with a higher educational level tended to get higher scores on factors that denote more positive attitudes and beliefs towards hypnosis; in addition, the psychologist participants showed more positive attitudes and beliefs regarding hypnosis. Considering these results, it would be interesting to carry out similar studies, increasing the size of the sample and also adding some new variables, in order to deepen this relationship and implement changes that would lead people to have more positive attitudes and beliefs regarding hypnosis.
Predicting the Compressive Strength of Rubberized Concrete Using Artificial Intelligence Methods
Authors: Gregori Amedeo , Castoro Chiara , Venkiteela Giri
Published: July 2021

In this study, support vector machine (SVM) and Gaussian process regression (GPR) models were employed to analyse different rubbercrete compressive strength data collected from the literature. The compressive strength data at 28 days ranged from 4 to 65 MPa in reference to rubbercrete mixtures, where the fine aggregates (sand fraction) were substituted with rubber aggregates in a range from 0% to 100% of the volume. It was observed that the GPR model yielded good results compared to the SVM model in rubbercrete strength prediction. Two strength reduction factor (SRF) equations were developed based on the GPR model results. These SRF equations can be used to estimate the compressive strength reduction in rubbercrete mixtures; the equations are provided. A sensitivity analysis was also performed to evaluate the influence of the w/c ratio on the compressive strength of the rubbercrete mixtures.
The Effects and Antecedents of Perceived Fairness in the Deliberative Process for Sustainable Citizens’ Participation
Authors: Kim Jungin
Published: July 2021

Based on the data from Korean citizen’s deliberation experiments, we examined the effects and antecedents of perceived fairness of the deliberative process. Our empirical study tested whether the perceived fairness of the deliberative process was associated with the outcomes of deliberation (changes in civic participants’ opinions) and explored antecedents that facilitated the perceived fairness of the deliberative process. We found that perceived fairness of the deliberative process positively increased civic participants’ opinion change, information reliability, and culture of acceptance in the deliberative process cultivated the perceived fairness of deliberative process when we controlled personal orientation and characteristics (e.g., political orientation, gender, age and etc.). These results identified conditions for effectively facilitating deliberative civic engagement in the policy decision-making process.
Mechanism of Sleeper–Ballast Dynamic Impact and Residual Settlements Accumulation in Zones with Unsupported Sleepers
Authors: Sysyn Mykola , Przybylowicz Michal , Nabochenko Olga , Liu Jianxing
Published: July 2021

Unsupported sleepers or void zones in ballasted tracks are one of the most recent and frequent track failures. The void failures have the property of intensive development that, without timely maintenance measures, can cause the appearance of cost-expensive local instabilities such as subgrade damages. The reason for the intensive void development lies in the mechanics of the sleeper and ballast bed interaction. The particularity of the interaction is a dynamic impact that occurs due to void closure. Additionally, void zones cause inhomogeneous ballast pressure distribution between the void zone and fully supported neighbour zones. The present paper is devoted to studying the mechanism of the sleeper–ballast dynamic impact in the void zone. The results of experimental in situ measurements of rail deflections showed the significant impact accelerations in the zone even for lightweight slow vehicles. A simple three-beam numerical model of track and rolling stock interaction has shown dynamic interaction similar to the experimental measurements. Moreover, the model shows that the sleeper accelerations are more than 3 times higher than the corresponding wheel accelerations and the impact point appears before the wheel enters the impact point. The analysis of ballast loadings shows the specific impact behaviour in combination with the quasistatic part that is different for void and neighbour zones, which are characterised by high ballast pre-stressed conditions. The analysis of void size influence demonstrates that the maximal impact loadings and maximal wheel and sleeper accelerations appear at a certain void depth, after which the values decrease. The ballast quasistatic loading analysis indicates an increase of more than 2 times in the ballast loading in neighbour zones for long voids and almost full quasistatic unloading for short-length voids. However, the used imitation model cannot explain the nature of the dynamic impact. The mechanism of the void impact is clearly explained by the analytic solution using a simple clamped beam. A simplified analytical expression of the void impact velocity shows that it is linearly related to the wheel speed and loading. The comparison to the numerically simulated impact velocities shows a good agreement and the existence of the void depth with the maximal impact. An estimation of the long-term influences for the cases of normal sleeper loading, high ballast pre-stress and quasistatic loading in the neighbour zones and high impact inside the void is performed.
Empowering a Sustainable City Using Self-Assessment of Environmental Performance on EcoCitOpia Platform
Authors: Kongboon Ratchayuda , Gheewala Shabbir H. , Sampattagul Sate
Published: July 2021

In Thailand, many municipalities lack the information to guide decision-making for improving environmental performance. They need tools to systematize the collection and analysis of data, and then to self-assess environmental performance to increase efficiency in environmental management toward a sustainable city. The aim of this study is to develop a platform for self-assessment of an environmental performance index. Nonthaburi municipality, Hat Yai municipality, and Yasothon municipality were selected to study the work context for six indicators, viz., energy, greenhouse gas, water, air, waste, and green area, which were important environmental problems. The development of an online system called “EcoCitOpia” divides municipality assessment into four parts: data collection, database creation, data analysis, and data display. The municipality can use the system for the assessment of environmental performance and the creation of a separate database based on indicators. The system can analyze the results and display them in the form of radar graphs, line graphs, and tables for use in public communication that will lead to cooperation in solving environmental problems at the policy level for urban development to meet the Sustainable Development Goals.
Production of the Doubly Charged Higgs Boson in Association with the SM Gauge Bosons and/or Other HTM Scalars at Hadron Colliders
Authors: Dziewit Bartosz , Kordiaczyńska Magdalena , Srivastava Tripurari
Published: July 2021

We investigate an extension of the Standard Model with one additional triplet of scalar bosons. Altogether, the model contains four Higgs bosons. We analyze the associated production of the doubly charged scalar with the Standard Model gauge bosons and the remaining Higgs bosons of the model, which are: the light (SM) and heavy neutral scalars and a singly charged scalar. We estimate, in the context of the present (HL–LHC) and future (FCC–hh) hadron colliders, the most promising processes in which a single produced doubly charged Higgs boson is involved.
Quantum Supertwistors
Authors: Fioresi Rita , Lledó María Antonia
Published: July 2021

In this paper, we give an explicit expression for a star product on the super-Minkowski space written in the supertwistor formalism. The big cell of the super-Grassmannian Gr(2|0,4|1) is identified with the chiral, super-Minkowski space. The super-Grassmannian is a homogeneous space under the action of the complexification SL(4|1) of SU(2,2|1), the superconformal group in dimension 4, signature (1,3), and supersymmetry N=1. The quantization is done by substituting the groups and homogeneous spaces by their quantum deformed counterparts. The calculations are done in Manin’s formalism. When we restrict to the big cell, we can explicitly compute an expression for the super-star product in the Minkowski superspace associated to this deformation and the choice of a certain basis of monomials.
Synthesis Strategy of Reversible Circuits on DNA Computers
Authors: Rofail Mirna , Younes Ahmed
Published: July 2021

DNA computers and quantum computers are gaining attention as alternatives to classical digital computers. DNA is a biological material that can be reprogrammed to perform computing functions. Quantum computing performs reversible computations by nature based on the laws of quantum mechanics. In this paper, DNA computing and reversible computing are combined to propose novel theoretical methods to implement reversible gates and circuits in DNA computers based on strand displacement reactions, since the advantages of reversible logic gates can be exploited to improve the capabilities and functionalities of DNA computers. This paper also proposes a novel universal reversible gate library (URGL) for synthesizing n-bit reversible circuits using DNA to reduce the average length and cost of the constructed circuits when compared with previous methods. Each n-bit URGL contains building blocks to generate all possible permutations of a symmetric group of degree n. Our proposed group (URGL) in the paper is a permutation group. The proposed implementation methods will improve the efficiency of DNA computer computations as the results of DNA implementations are better in terms of quantum cost, DNA cost, and circuit length.
A Kinematical Analysis of the Flap and Wing Mechanism of a Light Sport Aircraft Using Topological Models
Authors: Vlase Sorin , Ghiţescu Ion-Marius , Paun Marius
Published: July 2021

In this, paper, we propose a method of kinematic analysis of a planar mechanism with application to the flap and wing mechanism of a light sport aircraft. A topological model is used to describe a mechanical system, which is a model that allows the study of the maneuverability of the system. The proposed algorithm is applied to determine the velocity and acceleration field of this multibody mechanical system. The graph associated with the mechanical system is generated in a new formulation and based on it, the fundamental loops of the graph are identified (corresponding to the independent loops of the mechanism), the equations for closing vectorial contours are written, and the kinematic conditions for determining velocities and accelerations and the associated linear systems are solved, which provides the field of speeds and accelerations. Graph Theory is applied at a kinematic level and not at a dynamic level, as in previous studies. A practical application for the kinematic analysis of the control mechanism of a light aircraft illustrates the proposed method.
The Comparison of Honeybee Viral Loads for Six Honeybee Viruses (ABPV, BQCV, CBPV, DWV, LSV3 and SBV) in Healthy and Clinically Affected Honeybees with TaqMan Quantitative Real-Time RT-PCR Assays
Authors: Šimenc Laura , Knific Tanja , Toplak Ivan
Published: July 2021

The viral loads of acute bee paralysis virus (ABPV), black queen cell virus (BQCV), chronic bee paralysis virus (CBPV), deformed wing virus (DWV), Lake Sinai virus 3 (LSV3), and sacbrood bee virus (SBV) were determined in samples with the use of quantitative TaqMan real-time reverse transcription and polymerase chain reaction (RT-qPCR). A total of 108 samples of healthy adult honeybees from four differently located apiaries and samples of honeybees showing different clinical signs of viral infections from 89 apiaries were collected throughout Slovenia. The aim of this study was to discover correlations between viral loads and clinical signs in adult honeybees and confirm previously set threshold viral load levels between healthy and clinically affected honeybees. Within this study, two new RT-qPCR assays for quantification of LSV3 and SBV were developed. Statistically significant differences in viral loads of positive samples were identified between healthy and clinically affected honeybees for ABPV, CBPV, DWV, and SBV, while for BQCV and LSV3, no statistical differences were observed between both groups. Despite high detected LSV3 prevalence and viral loads around 6.00 log10 viral copies/bee, this lineage probably has a limited impact on the health status of honeybee colonies. The determined viral loads between 3.94 log10 and 13.17 log10 in positive samples for six viruses, collected over 10 consecutive months, including winter, present additional information of high viral load variations in healthy honeybee colonies.
Estimating Future Peak Water Demand with a Regression Model Considering Climate Indices
Authors: Stelzl Anika , Pointl Michael , Fuchs-Hanusch Daniela
Published: July 2021

Although Austria is a water-rich country, impacts of climate change on water supply are already noticeable. Some regions were affected by water scarcity in recent years. Due to climate change, an increase in peak water demand is expected in the future. Therefore, water demand prediction models that include climate indices are of interest. In this paper, we present a general multiple linear regression (GMLR) model that can be applied to selected study sites. We compared the performance of the GMLR model with different modeling approaches, i.e., stepwise multiple linear regression, support vector regression, random forest regression and a neural network approach. All models were trained with water demand and weather data reaching back several years and tested with the last available observation year. The applied modeling approaches achieved a similar performance. As a second step, the GMLR model was used to estimate the peak water demands for the time period 2025–2050. For the future water demand estimate, 16 different climate projections were used. These climate projections represent the worst-case climate change scenario (RCP 8.5). The expected increase in peak water demand could be confirmed with the modeling approach. An increase in peak water demand by 3.5% compared to the reference period was estimated.
Mechanism and Purification Effect of Photocatalytic Wastewater Treatment Using Graphene Oxide-Doped Titanium Dioxide Composite Nanomaterials
Authors: Liu Sheng , Su Zi-Lin , Liu Yi , Yi Lin-Ya , Chen Zhan-Li , Liu Zhen-Zhong
Published: July 2021

The present work aims to examine the mechanism and purification effect of graphene oxide (GO) and GO composite materials for photocatalysis sewage treatment. TiO2 nanoparticles were prepared using the sol-gel technique; GO was prepared using the modified Hummers technique; and finally, a new N-TiO2/GO photocatalysis composite material was prepared by hydrothermal synthesis. As a nitrogen source, urea uses non-metal doping to broaden the photoresponse range of TiO2. The prepared GO and its composite materials are characterized. Simulation experiments, using the typical water dye pollutant rhodamine B (RhB), tested and analyzed the adsorption and photocatalysis performances of the prepared GO and its composite materials. Characterization analysis demonstrates that TiO2 is distributed on the GO surface in the prepared N-TiO2/GO material. Simultaneously, nitrogen doping causes TiO2 on the GO surface to seem uniformly dispersed. X-ray Diffractometer (XRD) spectrums suggest that TiO2 on the GO surface presents an anatase crystal structure; infrared spectrums display the characteristic vibration peaks of the TiO2 and GO. Adsorption performance analysis illustrates that N-TiO2/GO can provide an adsorption amount of 167.92 mg/g in the same time frame and photocatalysis for visible lights of 57.69%. All data present an excellent linear fitting relationship to the first-order dynamic equation. Therefore, the prepared GO composite materials possess outstanding absorption and photocatalysis performances, providing an experimental basis for sewage treatment and purification using photocatalysis approaches in the future.
VÍRUS GIGANTES - FAUSTOVÍRUS: REVISÃO BIBLIOGRAFICA
Authors: Karabolsak Vinicius Lodi Cordeiro , Alencar Aline Paixão de , Pelizon Ana Claudia
Published: July 2021

RESUMO: Esta revisão de literatura busca expor as características e importância dos vírus gigantes, em especial do gênero Faustovírus no ambiente humano. Esses vírus têm sido isolados a partir de Amebas em água de esgoto e têm sido associados com alguns tipos de infecção humana, como por exemplo, uma infecção relacionada ao sistema ocular. Esse gênero faz parte de um grupo de vírus gigantes relacionados à família Asfaviridae, que são vírus de fita dupla e infectam insetos e suínos. Assim, o ciclo replicativo desse gênero de vírus merece ser melhor compreendido, uma vez que já foi relatado sua interferência no organismo humano.

Palavras-Chave: Faustovírus, Asfaviridae, DNA dupla fita, Vírus gigante.
ANÁLISE DE ÍNDICES DE MORTALIDADE POR TUBERCULOSE NO ESTADO DE PERNAMBUCO
Authors: Silva Aldair De Lima , Cardoso Fabiana Silva Cruz , De Amorim Marli Christiane Nogueira , Lopes Laryssa Grazielle Feitosa , Cavalcante Giani Maria
Published: July 2021

Introdução: A tuberculose é uma doença infectocontagiosa, considerada como um grande problema de saúde pública no Brasil e no mundo. Objetivos: Avaliar o índice de mortalidade por tuberculose no estado de Pernambuco nos últimos dez anos. Método: Trata-se de uma pesquisa quantitativa, retrospectiva, baseada em dados secundários extraídos do Sistema de Informação de Mortalidade (SIM) dos últimos nove anos. Resultados: Observou-se que o Nordeste lidera o número de óbitos, com destaque para Pernambuco que representa o estado com maior índice de mortalidade por essa patologia. Conclusão: O estado de Pernambuco precisa avançar no que diz respeito à promoção e prevenção de agravos, são necessárias orientações claras e objetivas, sensibilização da população como responsável por sua saúde, busca ativa, diagnóstico e tratamento.

DESCRITORES: Tuberculose; Enfermagem; Doenças Infectocontagiosas.
Unlearned lessons of food price spikes
Authors: Gumerov R. R.
Published: July 2021

The article substantiates the author’s hypothesis of the fundamental reasons for periodic «ups» in prices for essential food products, including the most recent price jump in the second half of 2020. Both the official assessments of the causes of recurring food price surges and the measures taken by the executive branch to stop and prevent them are subjected to critical analysis. Conclusions and fundamental proposals are formulated aimed at eradicating the systemic causes of price volatility in the domestic food market.
Problems and Prospects of Development of Venture Capital Institutions in Russia
Authors: Glaziev S. S.
Published: July 2021

The relevance of the topic of the article is directly due to the increased interest on the part of government agencies, business circles and the scientific and economic community to the problem of stimulating the processes of creation, replication and economic promotion of innovations, and ultimately-the growing objective need of the national economy in a favorable innovation environment. Venture capital plays a role in maintaining the flow of innovative products in the economies of a number of countries around the world. However, venture capital is still not a well — established phenomenon in most national economies, if we consider this phenomenon as a system that is essential for the search and introduction of new ideas and technologies into socio-economic life, and not as scattered precedents for financing young high-risk, but fast-growing and promising innovative companies.

Based on these fundamental provisions, the author of the article, first, describes in detail the subject structure of this system, characterizes the interaction between special funds, start-up companies and their final investors-large high-tech industrial corporations, which in many cases forms the innovative mechanism of venture capital. Secondly, it examines the factors, the history of the formation of venture capital, shows its national specifics, place and functions in specific countries of the modern market-capitalist economy, including the United States, the EU states and Japan. Third, it assesses the Russian innovation and investment environment, the possible role in them and the prospects for the development of venture capital institutions in Russia.
Eficiencia de la linaza como coagulante en la clarificación del agua
Authors: Mendoza Iván , Lugo Marehilen , López Paola
Published: July 2021

La presente investigación tuvo como objetivo principal comprobar la efectividad de las semillas de linaza como coagulante natural en la clarificación de aguas con alta turbidez. Se utilizaron muestras de aguas provenientes de la red de distribución local, las cuales se ajustaron a valores de pH entre 3-4 unidades y turbiedades iguales a 180, 200, 220, 240 y 260 UNT. Estas fueron tratadas con el coagulante en dosis de 30 mg/L-150 mg/L y se realizaron las pruebas de jarras. Se determinaron los parámetros fisicoquímicos antes y después de filtrar. Los resultados después del tratamiento con el extracto acuoso linaza a dosis óptimas de 30 mg/L y 60 mg/L reflejan valores de turbidez (1,19 UNT- 2,99 UNT), color (7 UC Pt-Co-12,50 UC Pt-Co) y alcalinidad (23,00 mg CaCO3/L-42,67 mg CaCO3/L) que se ubican en rangos permisibles y evidencian el cumplimiento de las normativas de calidad del agua potable. Se concluye que la linaza es un coagulante eficiente en la clarificación del agua.
Curriculo de Autores
Authors: Moreno Sotomayor Víctor Hugo
Published: July 2021

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Pour une révision de la chronologie des grès khmers
Authors: Desbat Armand
Published: July 2021

Depuis trente ans, la chronologie des grès khmers est fondée sur la synthèse de Bernard-Philippe Groslier parue en 1981 sous le titre «Introduction to the Ceramic Ware of Angkor » . Malheureusement, son décès est intervenu avant qu’il ne puisse publier de manière détaillée les données archéologiques qui justifiaient une chronologie que lui-même jugeait provisoire. Malgré cela, cette chronologie a été suivie régulièrement, sans véritable critique, dans la plupart des ouvrages consacrés aux céramiques khmères. Aujourd’hui, les fouilles réalisées dans la région d’Angkor depuis une dizaine d’années, ainsi que la découverte récente de plusieurs ateliers de potiers, ont fourni de nombreuses données nouvelles qui suggèrent de nouvelles hypothèses de datation pour les grès khmers.
Effects of Physical Activity on Cognitive Abilities of Dementia Person
Authors: Bjelica Bojan , Aksović Nikola , Santos Singh Laishram , Milanović Ljubica , Zelenović Milan
Published: July 2021

The concept of dementia is associated with cognitive changes, behavioral changes, as well as daily motor actions and life functions. The association of physical activity with dementia is a controversial topic in science and is always an interesting basis for discussion among researchers. Moderate PA can be an effective means of reducing the rate of dementia as well as behavioral problems, however caution should be approached when working with this group of people, especially when setting end goals. Given the division of dementia, each person needs to be approached individually and appropriate selection made. The contribution of PA is irreplaceable compared to any type of therapeutic treatment, it improves basic life functions, reduces the mortality rate and improves the quality of life.
AUGMENTED REALITY APPLICATIONS IN SMART CITIES
Authors: Маколкина М.А. , Бородин А.С. , Мутханна А.С. , Кучерявый А.Е.
Published: July 2021

Рассмотрена концепция разработки умных городов , подразумевающая создание инновационных мегаполисов с использованием ИКТ-технологий и других средств, способствующих развитию в экономическом, социальном, природоохранном и культурном направлениях. Проведен анализ возможностей применения дополненной реальности для улучшения двух аспектов жизни в городе: медицины и искусства. Предложена система для мониторинга сохранности музейных экспонатов и отображения информации о них посетителям с помощью технологии дополненной реальности.

The article discusses the concept of developing smart cities , which implies the creation of innovative megacities using ICT technologies and other means, that promote the economic, social, environmental and cultural development of cities. An analysis of the possibilities of using augmented reality to improve medicine and art in the city has been carried out. A system for monitoring the safety of museum exhibits and the presentation of information about them is proposed.
АНАЛИЗ СОВМЕСТИМОСТИ СПУТНИКОВЫХ СЕТЕЙ IOT С УСТРОЙСТВАМИ SRD И LPWAN В ДИАПАЗОНАХ ЧАСТОТ 868/915 МГЦ
Authors: Anpilogov V.R. , Nguyen D.A.
Published: July 2021

The methodology and results of evaluating the level of interference created by the low-orbit IoT satellite on the space-Earth line are presented. It is shown that this level is lower than the level of interference that SRD and LPWAN devices create to each other, and the protective C/I ratios correspond to regulatory and technical documents. The presented methodology allows justifying the use of IoT satellite networks in the ISM 868/915 MHz band on the basis of clause 4.4 of the Radio Regulations.

Представлены методика и результаты оценки уровня помех, создаваемых низкоорбитальным спутником интернета вещей на линии космосЗемля . Показано, что этот уровень ниже уровня помех, которые создают друг другу устройства SRD и LPWAN, а защитные отношения несущей к единичной помехе C/I соответствуют нормативно-техническим документам. Определены требования к максимально допустимому значению эквивалентной изотропно-излучаемой мощности (ЭИИМ) абонентских спутниковых радиолиний. Представленная методика позволяет обосновать применение спутниковых сетей интернета вещей в диапазоне ISM 868/915 МГц на основе п. 4.4 Регламента радиосвязи.
GOLD CODES AND MAXIMUM LENGTH CODES IN NETWORK CODING
Authors: Владимиров С.С.
Published: July 2021

Предложен вариант применения кодов Голда и кодов максимальной длины для систем сетевого кодирования. Путем математического моделирования выполнено сравнение различных способов обработки кодовых слов на приеме и приведены результаты в виде графиков вероятностных характеристик трех способов декодирования.

A variant of the application of Gold codes and maximum length codes for network coding systems is proposed. By mathematical simulation, a comparison of different methods of codewords processing at a receiver is performed. The results are presented in the form of graphs of probabilistic characteristics of three decoding methods.
Помехоустойчивость трехэлементной адаптивнойантенной решетки в многолучевых каналахрадиосвязи ДКМВ-диапазона
Authors: Metelev S.A. , Volkova E.N.
Published: July 2021

Using the modified Watterson model of the radio channel the spatial signal processing (SSP) features of two- and three-element adaptive antenna arrays in thenonstationary multi-path HF channels are investigated. It is shown that the addition of a third antenna element significantly enhances the SSP efficiency of the multipathHF signals in comparison with two-element SSP.

Исследованы особенности пространственной обработки сигналов (ПОС) в двух- и трехэлементных антенных решетках в нестационарных многолучевых ДКМВ каналах радиосвязи. Показано, что добавление третьего антенного элемента существенно повышает эффективность ПОС по сравнению с минимально необходимыми двумя ветвями разнесения пространственной обработки.
A nonlinear optimal control approach for the UAV and suspended payload system
Authors: Rigatos Gerasimos G.
Published: July 2021

The article proposes a nonlinear optimal control approach for the UAV and suspended load system. The dynamic model of the UAV and payload system undergoes approximate linearization with the use of Taylor series expansion around a temporary operating point which recomputed at each iteration of the control method. For the approximately linearized model an H-infinity feedback controller is designed. The linearization procedure relies on the computation of the Jacobian matrices of the state-space model of the system. The proposed control method stands for the solution of the optimal control problem for the nonlinear and multivariable dynamics of the UAV and payload system, under model uncertainties and external perturbations. For the computation of the controller’s feedback gains an algebraic Riccati equation is solved at each time-step of the control method. The new nonlinear optimal control approach achieves fast and accurate tracking for all state variables of the UAV and payload system, under moderate variations of the control inputs. The stability properties of the control scheme are proven through Lyapunov analysis.
Isolasi Nanoselulosa Terkarboksilasi dari Limbah Kulit Pisang Ambon Lumut dengan Metode Oksidasi
Authors: Nugraha Ashari Budi , Nuruddin Ahmad , Sunendar Bambang
Published: July 2021

In this study, banana peel from ambon lumut (Musa acuminata) was used as source for nanocellulose fibers. Carboxylated nanocellulose was isolated with oxidation method using ammonium persulfate (APS). In order to investigate the effect of temperature towards the characteristics of nonocellulose, temperature for oxidation process was set at three different values: 60 Â°C, 70 Â°C, dan 80 Â°C. Nanostructure of cellulose was observed as a mix of fibers and whiskers from transmission electron microscopy (TEM) images.  The diameter of nanocellulose is ranging from 12,1 to 25,1 nm. Data from spectrometry graphs (FTIR) confirms the existence of carboxyl functional groups in nanocellulose samples. X-ray diffraction pattern (XRD) shows that crystallinity index values increase as temperature of oxidation process increases. The highest crytallinity index value of 72,4% was obtained from nanocellulose treated with oxidation temperature of 80 Â°C. This analysis shows banana peel waste as a potential alternative source for carboxylated nanocellulose.
¿Son nuestros autores nuestros lectores?
Authors: Lell Helga María
Published: July 2021

El objetivo de este trabajo es reflexionar en torno al compromiso que deben tener los autores que postulan un artículo a una revista de haber indagado previamente en los trabajos allí publicados con anterioridad y en la posibilidad de los cuerpos editoriales de exigirlo. Ello a partir de la idea de que quien envía un trabajo a una revista lo hace porque la considera el mejor medio para difundir sus descubrimientos. En tal sentido, valora la revista como medio de información. Ahora bien, resulta contradictorio que se use la publicación como canal comunicativo, pero no como insumo. ¿Sería una buena práctica requerir la citación de trabajos publicados en la propia revista?
El ecosistema editorial y de investigación de derecho en México: indicadores Redalyc 2020
Authors: Aguado López Eduardo , Becerril García Arianna , Godínez Larios Sheila
Published: July 2021

Se analiza la disciplina de derecho en México (2005-2018) desde una propuesta metodológica comprehensiva y descriptiva: los indicadores responsables Redalyc 2020. El análisis se realiza desde dos enfoques y con objetivos específicos. A) Enfoque de investigación: conocer el desempeño de investigación de los académicos de la disciplina adscritos a México mediante el análisis de los artículos científicos que han generado; el universo de análisis lo constituyen 1,061 artículos científicos publicados en 36 revistas científicas de derecho integradas a Redalyc por autores con adscripción a 137 instituciones mexicanas. B) Enfoque editorial: caracterizar el desempeño editorial de México en la disciplina mediante el análisis de la producción publicada en sus revistas; el universo de análisis lo constituyen 1,723 artículos científicos publicados en las ocho revistas científicas mexicanas de la disciplina integradas a Redalyc. Se recurre a los indicadores Redalyc 2020 en tanto propuesta analítica que posibilita una caracterización del desempeño científico (editorial y de investigación) a partir del análisis de prácticas y dinámicas intrínsecas a las comunidades editoriales y científicas, como la publicación y la colaboración, y apegándose a una lógica descriptiva fuera de una racionalidad jerárquica.