bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Control System of Integrated Unmanned Surface Vehicle and Underwater Vehicle
Authors: Cho Hyunjoon , Jeong Sang-Ki , Ji Dae-Hyeong , Tran Ngoc-Huy , Vu Mai The , Choi Hyeung-Sik
Published: May 2020

In this paper, in order to overcome certain limitations of previously commercialized platforms, a new integrated unmanned surface vehicle (USV) and unmanned underwater vehicle (UUV) platform connected via underwater cable capable of acquiring real-time underwater data and long-time operation are studied. A catamaran-type USV was designed to overcome the limitations of an ocean environment and to play the role as the hub of power supply and communication for the integrated platform. Meanwhile, the UUV was designed as torpedo-shaped to minimize hydrodynamic resistance and its hardware design was focused on processing and sending the underwater camera and sonar data. The underwater cable driven by a winch system was installed to supply power from the USV to the UUV and to transmit acquired data form underwater sonar sensor or camera. Different from other previously studied cooperation system of USVs and autonomous underwater vehicles (AUVs), the merit of the proposed system is real-time motion coordination control between the USV and UUV while transmitting large amount of data using the tether cable. The main focus of the study is coordination of the UUV with respect to the global positioning system (GPS) attached at USV and verification of its performance throughout field tests. Waypoint tracking control algorithm was designed and implemented on USV and relative heading, distance control for USV–UUV coordination was implemented to UUV. To ensure the integrity of the coordination control of the integrated platform, a study on accurate measurement system of the relative position between the USV and the UUV by using the GPS and the ultrashort baseline (USBL) device was performed. Individual tests were conducted to verify the performance of USBL and AHRS, which provide the position and heading data of UUV among the sensors mounted on the actual platform, and the effectiveness of the obtained sensor data is presented. Using the accurate measurement system, a number of field tests were conducted to verify the performance of the integrated platform.
Machine Learning on Mainstream Microcontrollers
Authors: Sakr Fouad , Bellotti Francesco , Berta Riccardo , De Gloria Alessandro
Published: May 2020

This paper presents the Edge Learning Machine (ELM), a machine learning framework for edge devices, which manages the training phase on a desktop computer and performs inferences on microcontrollers. The framework implements, in a platform-independent C language, three supervised machine learning algorithms (Support Vector Machine (SVM) with a linear kernel, k-Nearest Neighbors (K-NN), and Decision Tree (DT)), and exploits STM X-Cube-AI to implement Artificial Neural Networks (ANNs) on STM32 Nucleo boards. We investigated the performance of these algorithms on six embedded boards and six datasets (four classifications and two regression). Our analysis—which aims to plug a gap in the literature—shows that the target platforms allow us to achieve the same performance score as a desktop machine, with a similar time latency. ANN performs better than the other algorithms in most cases, with no difference among the target devices. We observed that increasing the depth of an NN improves performance, up to a saturation level. k-NN performs similarly to ANN and, in one case, even better, but requires all the training sets to be kept in the inference phase, posing a significant memory demand, which can be afforded only by high-end edge devices. DT performance has a larger variance across datasets. In general, several factors impact performance in different ways across datasets. This highlights the importance of a framework like ELM, which is able to train and compare different algorithms. To support the developer community, ELM is released on an open-source basis.
Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data
Authors: Haq Amin Ul , Li Jian Ping , Khan Jalaluddin , Memon Muhammad Hammad , Nazir Shah , Ahmad Sultan , Khan Ghufran Ahmad , Ali Amjad
Published: May 2020

Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for the research community to develop a diagnosis system to detect diabetes in a successful way in the e-healthcare environment. Machine learning techniques have an emerging role in healthcare services by delivering a system to analyze the medical data for diagnosis of diseases. The existing diagnosis systems have some drawbacks, such as high computation time, and low prediction accuracy. To handle these issues, we have proposed a diagnosis system using machine learning methods for the detection of diabetes. The proposed method has been tested on the diabetes data set which is a clinical dataset designed from patient’s clinical history. Further, model validation methods, such as hold out, K-fold, leave one subject out and performance evaluation metrics, includes accuracy, specificity, sensitivity, F1-score, receiver operating characteristic curve, and execution time have been used to check the validity of the proposed system. We have proposed a filter method based on the Decision Tree (Iterative Dichotomiser 3) algorithm for highly important feature selection. Two ensemble learning algorithms, Ada Boost and Random Forest, are also used for feature selection and we also compared the classifier performance with wrapper based feature selection algorithms. Classifier Decision Tree has been used for the classification of healthy and diabetic subjects. The experimental results show that the proposed feature selection algorithm selected features improve the classification performance of the predictive model and achieved optimal accuracy. Additionally, the proposed system performance is high compared to the previous state-of-the-art methods. High performance of the proposed method is due to the different combinations of selected features set and Plasma glucose concentrations, Diabetes pedigree function, and Blood mass index are more significantly important features in the dataset for prediction of diabetes. Furthermore, the experimental results statistical analysis demonstrated that the proposed method would effectively detect diabetes and can be deployed in an e-healthcare environment.
Flexible Graphite/PPG Hybrid Composite-Based Resistive Sensor for Sensing Organic Compounds
Authors: Kim Do Hun , Lee Yang Soo , Park Won Kyu , Yoo Jin Sun , Shim Changup , Hong Young Joon , Kang Bong Kyun , Yoon Dae Ho , Yang Woo Seok
Published: May 2020

Our objective in this study was to investigate a sensor for volatile organic compounds based on a graphite (G)/polypropylene glycol (PPG) hybrid composite (HC) for sensing hybrid elements. The G/PPG HC sensor films for organic-matter detection were successfully fabricated on polyethylene terephthalate (PET) film with a simple blade-coating method. The sensing paste based on G/PPG (1:2) HC showed good dispersibility and stability. In addition, G/PPG HC sensor films with organic compounds showed different thickness changes as a function of the G/PPG ratio because of the swelling effect of the polymer. The observed differences in resistance of the G/PPG HC films corresponded to those of common organic compounds, suggesting that the disconnection of graphite caused by the swollen PPG matrix caused explosive resistance change. Moreover, we evaluated the sensitivity of typical hydrocarbon materials, such as benzene and toluene, in the sensor film as well as petroleum materials without moisture-induced malfunctions. This study could provoke knowledge about superior sensing with cost-effective and easily scalable materials using polymer/graphite composite-based sensors to improve the sensitivity, selectivity, and stability of chemical sensor applications.
Evaluation of Model-Based Control of Reaction Forces at the Supports of Large-Size Crankshafts
Authors: Chybowski Leszek , Nozdrzykowski Krzysztof , Grządziel Zenon , Dorobczyński Lech
Published: May 2020

A support control automation system employing force sensors to a large-size crankshaft main journals’ flexible support-system was studied. The current system was intended to evaluate the geometric condition of crankshafts in internal combustion diesel engines. The support reaction forces were changed to minimize the crankshaft elastic deflection as a function of the crank angle. The aim of this research was to verify the hypothesis that the mentioned change can be expressed by a monoharmonic model regardless of a crankshaft structure. The authors’ investigations have confirmed this hypothesis. It was also shown that an algorithmic approach improved the mathematical model mapping with the reaction forces due to faster and more accurate calculations of a phase shift angle. The verification of the model for crankshafts with different structural designs made it possible to assess how well the model fits the coefficients of determination that were calculated with the finite element analysis (FEA). For the crankshafts analyzed, the coefficients of determination R2 were greater than 0.9997, while the maximum relative percentage errors δmax were up to 1.0228%. These values can be considered highly satisfactory for the assessment of the conducted study.
Solid Concentration Estimation by Kalman Filter
Authors: Tan Yongguang , Yue Shihong
Published: May 2020

One of the major tasks in process industry is solid concentration (SC) estimation in solid–liquid two-phase flow in any pipeline. The γ-ray sensor provides the most used and direct measurement to SC, but it may be inaccurate due to very local measurements and inaccurate density baseline. Alternatively, under various conditions there are a tremendous amount of indirect measurements from other sensors that can be used to adjust the accuracy of SC estimation. Consequently, there is complementarity between them, and integrating direct and indirect measurements is helpful to improve the accuracy of SC estimation. In this paper, after recovering the interrelation of these measurements, we proposed a new SC estimation method according to Kalman filter fusion. Focusing on dredging engineering fields, SCs of representative flow pattern were tested. The results show that our proposed methods outperform the fused two types of measurements in real solid–liquid two-phase flow conditions. Additionally, the proposed method has potential to be applied to other fields as well as dredging engineering.
Stepped Coastal Water Warming Revealed by Multiparametric Monitoring at NW Mediterranean Fixed Stations
Authors: Bahamon Nixon , Aguzzi Jacopo , Ahumada-Sempoal Miguel Ángel , Bernardello Raffaele , Reuschel Charlotte , Company Joan Baptista , Peters Francesc , Gordoa Ana , Navarro Joan , Velásquez Zoila , Cruzado Antonio
Published: May 2020

Since 2014, the global land and sea surface temperature has scaled 0.23 °C above the decadal average (2009–2018). Reports indicate that Mediterranean Sea temperatures have been rising at faster rates than in the global ocean. Oceanographic time series of physical and biogeochemical data collected from an onboard and a multisensor mooring array in the northwestern Mediterranean Sea (Blanes submarine canyon, Balearic Sea) during 2009–2018 revealed an abrupt temperature rising since 2014, in line with regional and global warming. Since 2014, the oligotrophic conditions of the water column have intensified, with temperature increasing 0.61 °C on the surface and 0.47 °C in the whole water column in continental shelf waters. Water transparency has increased due to a decrease in turbidity anomaly of −0.1 FTU. Since 2013, inshore chlorophyll a concentration remained below the average (−0.15 mg·l−1) and silicates showed a declining trend. The mixed layer depth showed deepening in winter and remained steady in summer. The net surface heat fluxes did not show any trend linked to the local warming, probably due to the influence of incoming offshore waters produced by the interaction between the Northern Current and the submarine canyon. Present regional and global water heating pattern is increasing the stress of highly diverse coastal ecosystems at unprecedented levels, as reported by the literature. The strengthening of the oligotrophic conditions in the study area may also apply as a cautionary warning to similar coastal ecosystems around the world following the global warming trend.
Development of an Eco-Sustainable Solution for the Second Life of Decommissioned Oil and Gas Platforms: The Mineral Accretion Technology
Authors: Margheritini Lucia , Colaleo Giuseppina , Contestabile Pasquale , Bjørgård Trine Larsen , Simonsen Morten Enggrob , Lanfredi Caterina , Dell’Anno Antonio , Vicinanza Diego
Published: May 2020

With the approaching end of the productive lives of offshore oil and gas platforms, the issue about decommissioning and what to do with existing structures arises. In this regard, this study aims to test solutions, at a preliminary level, for the eco-sustainable reuse of platforms at the end of their extraction phase. In particular, mineral accretion technology is applied by low-voltage electrolysis of seawater due to the precipitation of calcium carbonate on a cathode material in order to assess the protection capacity of the platforms against corrosion. This approach allows the extension of a platform’s “life” under a more sustainable purpose. The results, derived from laboratory and field experiments, will allow us to reduce uncertainties and define the best operating conditions to increase the efficiency of the mineral accretion technology in the marine ecosystem. The data collection on the main parameters that influence the process (i.e., temperature, salinity, and applied current) and the quantitative analysis of the collected material allowed us to acquire a better knowledge about mineral composition and deposition rate.
Social Capital and Sustainable Innovation in Small Businesses: Investigating the Role of Absorptive Capacity, Marketing Capability and Organizational Learning
Authors: Xin Lu , Tang Fangcheng , Zhang Shuwei , Pan Zhen
Published: May 2020

Facing resource constraints and fierce competition, it is relatively difficult for small firms to achieve product innovation to gain sustainable development independently. Previous studies have explored the positive relationship between social capital and product innovation, yet there is still a lack of a comprehensive understanding of the underlying mechanism and the boundary conditions. Drawing upon the dynamic capabilities framework, we expect that absorptive capacity and marketing capability will mediate the relationship between social capital and new product development. Moreover, since product innovation is considered a process of learning, we also examine the moderating effects of explorative learning, and exploitative learning within moderated mediation models. Employing a sample of 221 small firms based in China, we find that social capital is indeed positively associated with new product development and is simultaneously fully mediated by absorptive capacity and marketing capability. Furthermore, the impact of absorptive capacity on new product development is amplified when a condition of explorative learning exists. This study, therefore, advances the current understanding on the predictors of innovation and enriches the dynamic capabilities theory, and also provides empirical support for the sustainable development of small firms.
Development and Validation of a Spanish Short Servant Leadership Survey (SSLS6-3F) among Spanish Workers in Religious Non-Profit Organizations
Authors: Ortiz-Gómez Mar , Giorgi Gabriele , Molina-Sánchez Horacio , Ariza-Montes Antonio
Published: May 2020

Religious non-profit organizations are becoming increasingly important in the third sector in a wide range of countries, where they are currently leading players in different areas, such as education, healthcare, and social work. These organizations have the peculiarity of providing a service to their users while transmitting them the values of their mission statement. An usually employed and effective management strategy for these institutions is a servant leadership style. This article seeks to introduce a theoretical discussion of this leadership approach by providing a Spanish version of an instrument for measuring servant leadership in Spanish religious non-profit institutions. To this end, workers of different Spanish faith-based non-profit organizations of the third sector, a relatively unexplored context, were analyzed after obtaining 463 valid questionnaires. This study used the Spanish translation of a seven-item and three-factor servant leadership scale. An exploratory and confirmatory factor analysis was performed. The results confirm that the six-item and three-factor servant leadership scale was the most effective scale to measure this construct. In conclusion, this research covers a notable research gap by providing a reliable and valid Spanish short version of the servant leadership scale for workers of Spanish religious non-profit organizations.
Urban or Rural: Does It Make A Difference for Economic Resilience? A Modelling Study on Economic and Cultural Geography in Romania
Authors: Pavel Alexandru , Moldovan Bogdan Andrei , Kourtit Karima , Nijkamp Peter
Published: May 2020

This article aims at investigating and measuring the economic resilience of local communities (43 urban and 403 rural) in Romania. The study focuses on the implications of the deep economic and financial crisis from 2008 to 2011 and explores the capacity of Romanian local economies in the North-West region to respond to these events. The research consists of developing an appropriate framework for assessing and quantifying community economic resilience, based on previous research of existing literature, and of measuring local economic development through a composite indicator by aggregating a series of variables using principal component analysis. The results show some striking differences between urban and rural communities in terms of impact, recovery, and performance compared with a pre-crisis level. Through regression analysis we were able to not only identify the determinants/explanatory factors for high-impact resilience that helped the recovery after an economic shock, but also the resilience drivers for ‘bouncing forward’ after the crisis, for both urban and rural communities. Our findings show an interesting change in the regional economy: some economic activities from the large urban areas in Romania moved to the nearby rural areas.
How Is Climate Change Knowledge Distributed among the Population in Singapore? A Demographic Analysis of Actual Knowledge and Illusory Knowledge
Authors: Yang Xiaodong , Wei Lai , Su Qi
Published: May 2020

Due to the crucial role of knowledge in promoting public engagement with climate change, this study made an in-depths examination of the distribution of climate change knowledge among different demographic groups. Guided by information deficit model and cognitive miser model, two types of knowledge were investigated, including actual knowledge and illusory knowledge. Using a nationally representative survey in Singapore, this study found demographic effects in climate change knowledge distribution. Specifically, a series of independent sample t-test revealed that the males had more actual knowledge of climate change than the females. The middle aged and elderly adults had less actual knowledge but more illusory knowledge of climate change than the young adults. Compare to the more educated people, the less educated people had more illusory knowledge but less actual knowledge of climate change. People from low-income households reported lower levels of actual knowledge but higher levels of illusory knowledge than those from high-income households. Regarding these significant differences in climate change knowledge among different demographic groups, possible reasons for these variations and implications for designing public education programs are discussed.
Construction of an Instrument for the Evaluation of the Effects of Information and Communication Technologies among Young People
Authors: González López Ignacio , Quintero Ordóñez Belén , Mendigutxia-Sorabilla Garikoitz , Reche Urbano Eloísa , Fuentes Esparrell Juan Antonio
Published: May 2020

The aim of this paper is to investigate the issue of access to Information and Communication Technologies (ICT) at younger ages, which is leading to dependency on mobile phones, video games, and compulsive aimless internet surfing—an issue that schools have been increasingly seeking to tackle. With the appearance of emerging technologies, and not forgetting those already established, an instrument is required that will adapt to new casuistry and help to design intervention programmes in accordance with present and future patterns of use, abuse, and addiction. Studies such as the one proposed here will provide data about the profile of this population in order to improve programmes and influence the ICT policies rolled out by central and local governments. The chief aim of this paper is to construct and validate an instrument capable of evaluating problems experienced by young people in relation to technology use, abuse, and addiction within the programmes developed in Spain. The research design used in this study is mixed empirical, non-experimental, and sequential in nature in three stages: interviews conducted with 11 prevention professionals, group of 11 experts and pilot group of 30 participants in indicated prevention programmes. The findings of the study indicate that the instrument fulfills the parameters established to be considered a systematic empirically sustainable instrument, since the young population needs to identify these patterns in order to understand and prevent risk behaviours associated with their use.
Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications
Authors: Oluyisola Olumide Emmanuel , Sgarbossa Fabio , Strandhagen Jan Ola
Published: May 2020

Many companies are struggling to manage their production systems due to increasing market uncertainty. While emerging ‘smart’ technologies such as the internet of things, machine learning, and cloud computing have been touted as having the potential to transform production management, the realities of their adoption and use have been much more challenging than anticipated. In this paper, we explore these challenges and present a conceptual model, a use-case matrix and a product–process framework for a smart production planning and control (smart PPC) system and illustrate the use of these artefacts through four case companies. The presented model adopts an incremental approach that companies with limited resources could employ in improving their PPC process in the context of industry 4.0 and sustainability. The results reveal that while make-to-order companies are more likely to derive greater benefits from a smart product strategy, make-to-stock companies are more likely to derive the most benefit from pursuing a smart process strategy, and consequently a smart PPC solution.
Symmetry in Nucleic-Acid Double Helices
Authors: Heinemann Udo , Roske Yvette
Published: May 2020

In nature and in the test tube, nucleic acids occur in many different forms. Apart from single-stranded, coiled molecules, DNA and RNA prefer to form helical arrangements, in which the bases are stacked to shield their hydrophobic surfaces and expose their polar edges. Focusing on double helices, we describe the crucial role played by symmetry in shaping DNA and RNA structure. The base pairs in nucleic-acid double helices display rotational pseudo-symmetry. In the Watson–Crick base pairs found in naturally occurring DNA and RNA duplexes, the symmetry axis lies in the base-pair plane, giving rise to two different helical grooves. In contrast, anti-Watson–Crick base pairs have a dyad axis perpendicular to the base-pair plane and identical grooves. In combination with the base-pair symmetry, the syn/anti conformation of paired nucleotides determines the parallel or antiparallel strand orientation of double helices. DNA and RNA duplexes in nature are exclusively antiparallel. Watson–Crick base-paired DNA or RNA helices display either right-handed or left-handed helical (pseudo-) symmetry. Genomic DNA is usually in the right-handed B-form, and RNA double helices adopt the right-handed A-conformation. Finally, there is a higher level of helical symmetry in superhelical DNA in which B-form double strands are intertwined in a right- or left-handed sense.
The Role of the Pauli Exclusion Principle in Nuclear Physics Models
Authors: Berriel-Aguayo Josué R. M. , Hess Peter O.
Published: May 2020

The Pauli Exclusion Principle (PEP) is one of the most basic concepts in physics, but also the most difficult to implement in many-fermion systems, which are common in nuclear physics. To investigate the consequences of ignoring the PEP, we discuss several algebraic models in nuclear structure physics, in particular cluster models. Sometimes they tend to ignore the Pauli Exclusion Principle for practical reasons, leading to flawed interpretations. Though at first sight there seems to be an agreement to experiment, often it is due to the limited number of states known experimentally. We discuss several models which include or not the PEP, illustrating through their differences the importance of the PEP. This contribution is also a review of recently published results.
Equilibrium Selection under the Bayes-Based Strategy Updating Rules
Authors: Zhao Changheng , Li Jiaying
Published: May 2020

In this paper, first, an evolutionary game model for Bayes-based strategy updating rules was constructed, in which players can only observe a signal that reveals a strategy type instead of the strategy type directly, which deviates from the strategy type of players. Then, the equilibrium selection of populations in the case of the asymmetric game, the Battle of the Sexes (BoS), and the case of a symmetric coordination game was studied where individuals make decisions based on the signals released by each player. Finally, it was concluded that in the BoS game, when the accuracy of the signal is low, the population eventually reaches an incompatible state. If the accuracy of the signal is improved, the population finally reaches a coordinated state. In a coordination game, when the accuracy of the signal is low, the population will eventually choose a payoff-dominated equilibrium. With the improvement of signal accuracy, the equilibrium of the final selection of the population depends on its initial state.
Fall Detection Based on Key Points of Human-Skeleton Using OpenPose
Authors: Chen Weiming , Jiang Zijie , Guo Hailin , Ni Xiaoyang
Published: May 2020

According to statistics, falls are the primary cause of injury or death for the elderly over 65 years old. About 30% of the elderly over 65 years old fall every year. Along with the increase in the elderly fall accidents each year, it is urgent to find a fast and effective fall detection method to help the elderly fall.The reason for falling is that the center of gravity of the human body is not stable or symmetry breaking, and the body cannot keep balance. To solve the above problem, in this paper, we propose an approach for reorganization of accidental falls based on the symmetry principle. We extract the skeleton information of the human body by OpenPose and identify the fall through three critical parameters: speed of descent at the center of the hip joint, the human body centerline angle with the ground, and width-to-height ratio of the human body external rectangular. Unlike previous studies that have just investigated falling behavior, we consider the standing up of people after falls. This method has 97% success rate to recognize the fall down behavior.
Composition Identities of Chebyshev Polynomials, via 2 × 2 Matrix Powers
Authors: Brandi Primo , Ricci Paolo Emilio
Published: May 2020

Starting from a representation formula for 2 × 2 non-singular complex matrices in terms of 2nd kind Chebyshev polynomials, a link is observed between the 1st kind Chebyshev polinomials and traces of matrix powers. Then, the standard composition of matrix powers is used in order to derive composition identities of 2nd and 1st kind Chebyshev polynomials. Before concluding the paper, the possibility to extend this procedure to the multivariate Chebyshev and Lucas polynomials is touched on.
Nonstandard Action of Diffeomorphisms and Gravity’s Anti-Newtonian Limit
Authors: Niedermaier Max
Published: May 2020

A tensor calculus adapted to the Anti-Newtonian limit of Einstein gravity is developed. The limit is defined in terms of a global conformal rescaling of the spatial metric. This enhances spacelike distances compared to timelike ones and in the limit effectively squeezes the lightcones to lines. Conventional tensors admit an analogous Anti-Newtonian limit, which however transforms according to a non-standard realization of the spacetime Diffeomorphism group. In addition to the type of the tensor the transformation law depends on, a set of integer-valued weights is needed to ensure the existence of a nontrivial limit. Examples are limiting counterparts of the metric, Einstein, and Riemann tensors. An adapted purely temporal notion of parallel transport is presented. By introducing a generalized Ehresmann connection and an associated orthonormal frame compatible with an invertible Carroll metric, the weight-dependent transformation laws can be mapped into a universal one that can be read off from the index structure. Utilizing this ‘decoupling map’ and a realization of the generalized Ehresmann connection in terms of scalar field, the limiting gravity theory can be endowed with an intrinsic Levi–Civita type notion of spatio-temporal parallel transport.
Design Procedure of a Topologically Optimized Scooter Frame Part
Authors: Jancar Lukas , Pagac Marek , Mesicek Jakub , Stefek Petr
Published: May 2020

This article describes the design procedure of a topologically optimized scooter frame part. It is the rear heel of the frame, one of the four main parts of a scooter made with stainless steel 3D printing. The first part of the article deals with the design area definition and the determination of load cases for topology calculation. The second part describes the process of the topology optimization itself and the creation of the volume body based on the calculation results. Finally, the final control using an FEM (Finite Element Method) analysis and optimization of created Computer-Aided Design (CAD) data is shown. Part of the article is also a review of partial iterations and resulting versions of the designed part. Symmetry was used to define boundary conditions, which led to computing time savings, as well as during the CAD model creation, where non-parametric surfaces were mirrored to shorten the design time.
On Two-Dimensional Fractional Chaotic Maps with Symmetries
Authors: Hadjabi Fatima , Ouannas Adel , Shawagfeh Nabil , Khennaoui Amina-Aicha , Grassi Giuseppe
Published: May 2020

In this paper, we propose two new two-dimensional chaotic maps with closed curve fixed points. The chaotic behavior of the two maps is analyzed by the 0–1 test, and explored numerically using Lyapunov exponents and bifurcation diagrams. It has been found that chaos exists in both fractional maps. In addition, result shows that the proposed fractional maps shows the property of coexisting attractors.
Optical Resolution of Dimethyl α-Hydroxy-Arylmethylphosphonates via Diastereomer Complex Formation Using Calcium Hydrogen O,O′-Dibenzoyl-(2R,3R)-Tartrate; X-Ray Analysis of the Complexes and Products
Authors: Rádai Zita , Bagi Péter , Czugler Mátyás , Karaghiosoff Konstantin , Keglevich György
Published: May 2020

Two dimethyl α-hydroxy-arylmethylphosphonates (aryl = Ph and 2-MeOPh) were subjected to optical resolution via diastereomer complex formation applying the acidic calcium salt of O,O′-dibenzoyl-(2R,3R)-tartaric acid as the resolving agent. The dominating diastereomer complexes, whose structure was determined by single crystal X-ray measurements, were obtained in 96% and 68% diastereomer excess values, respectively. After decomposing the diastereomer formations by extraction, and after recrystallizations, the major enantiomer (S and R, respectively) of the α-hydroxyphosphonates were prepared in enantiomeric excess values of 96% and 68%, respectively. The stereostructure of the two α-hydroxy-arylmethylphosphonates was again established by X-ray measurements. Detailed study on the X-ray data allowed valuable conclusions on the nature of the coordination in the complexes (intermolecular interactions), and on the H-bonding.
Non-Hermitian Chiral Magnetic Effect in Equilibrium
Authors: Chernodub Maxim N. , Cortijo Alberto
Published: May 2020

We analyze the chiral magnetic effect for non-Hermitian fermionic systems using the bi-orthogonal formulation of quantum mechanics. In contrast to the Hermitian counterparts, we show that the chiral magnetic effect takes place in equilibrium when a non-Hermitian system is considered. The key observation is that for non-Hermitian charged systems, there is no strict charge conservation as understood in Hermitian systems, so the Bloch theorem preventing currents in the thermodynamic limit and in equilibrium does not apply.
Fixed Point Theorems Applied in Uncertain Fractional Differential Equation with Jump
Authors: Jia Zhifu , Liu Xinsheng , Li Cunlin
Published: May 2020

No previous study has involved uncertain fractional differential equation (FDE, for short) with jump. In this paper, we propose the uncertain FDEs with jump, which is driven by both an uncertain V-jump process and an uncertain canonical process. First of all, for the one-dimensional case, we give two types of uncertain FDEs with jump that are symmetric in terms of form. The next, for the multidimensional case, when the coefficients of the equations satisfy Lipschitz condition and linear growth condition, we establish an existence and uniqueness theorems of uncertain FDEs with jump of Riemann-Liouville type by Banach fixed point theorem. A symmetric proof in terms of form is suitable to the Caputo type. When the coefficients do not satisfy the Lipschitz condition and linear growth condition, we just prove an existence theorem of the Caputo type equation by Schauder fixed point theorem. In the end, we present an application about uncertain interest rate model.
Chronic Kidney Disease-Associated Immune Dysfunctions: Impact of Protein-Bound Uremic Retention Solutes on Immune Cells
Authors: Espi Maxime , Koppe Laetitia , Fouque Denis , Thaunat Olivier
Published: May 2020

Regardless of the primary disease responsible for kidney failure, patients suffering from chronic kidney disease (CKD) have in common multiple impairments of both the innate and adaptive immune systems, the pathophysiology of which has long remained enigmatic. CKD-associated immune dysfunction includes chronic low-grade activation of monocytes and neutrophils, which induces endothelial damage and increases cardiovascular risk. Although innate immune effectors are activated during CKD, their anti-bacterial capacity is impaired, leading to increased susceptibility to extracellular bacterial infections. Finally, CKD patients are also characterized by profound alterations of cellular and humoral adaptive immune responses, which account for an increased risk for malignancies and viral infections. This review summarizes the recent emerging data that link the pathophysiology of CKD-associated immune dysfunctions with the accumulation of microbiota-derived metabolites, including indoxyl sulfate and p-cresyl sulfate, the two best characterized protein-bound uremic retention solutes.
Cosmological Finsler Spacetimes
Authors: Hohmann Manuel , Pfeifer Christian , Voicu Nicoleta
Published: May 2020

Applying the cosmological principle to Finsler spacetimes, we identify the Lie Algebra of symmetry generators of spatially homogeneous and isotropic Finsler geometries, thus generalising Friedmann-Lemaître-Robertson-Walker geometry. In particular, we find the most general spatially homogeneous and isotropic Berwald spacetimes, which are Finsler spacetimes that can be regarded as closest to pseudo-Riemannian geometry. They are defined by a Finsler Lagrangian built from a zero-homogeneous function on the tangent bundle, which encodes the velocity dependence of the Finsler Lagrangian in a very specific way. The obtained cosmological Berwald geometries are candidates for the description of the geometry of the universe, when they are obtained as solutions from a Finsler gravity equation.
Conserved and Diverse Traits of Adhesion Devices from Siphoviridae Recognizing Proteinaceous or Saccharidic Receptors
Authors: Goulet Adeline , Spinelli Silvia , Mahony Jennifer , Cambillau Christian
Published: May 2020

Bacteriophages can play beneficial roles in phage therapy and destruction of food pathogens. Conversely, they play negative roles as they infect bacteria involved in fermentation, resulting in serious industrial losses. Siphoviridae phages possess a long non-contractile tail and use a mechanism of infection whose first step is host recognition and binding. They have evolved adhesion devices at their tails’ distal end, tuned to recognize specific proteinaceous or saccharidic receptors on the host’s surface that span a large spectrum of shapes. In this review, we aimed to identify common patterns beyond this apparent diversity. To this end, we analyzed siphophage tail tips or baseplates, evaluating their known structures, where available, and uncovering patterns with bioinformatics tools when they were not. It was thereby identified that a triad formed by three proteins in complex, i.e., the tape measure protein (TMP), the distal tail protein (Dit), and the tail-associated lysozyme (Tal), is conserved in all phages. This common scaffold may harbor various functional extensions internally while it also serves as a platform for plug-in ancillary or receptor-binding proteins (RBPs). Finally, a group of siphophage baseplates involved in saccharidic receptor recognition exhibits an activation mechanism reminiscent of that observed in Myoviridae.
Using Manual and Computer-Based Text-Mining to Uncover Research Trends for Apis mellifera
Authors: Amiri Esmaeil , Waiker Prashant , Rueppell Olav , Manda Prashanti
Published: May 2020

Honey bee research is believed to be influenced dramatically by colony collapse disorder (CCD) and the sequenced genome release in 2006, but this assertion has never been tested. By employing text-mining approaches, research trends were tested by analyzing over 14,000 publications during the period of 1957 to 2017. Quantitatively, the data revealed an exponential growth until 2010 when the number of articles published per year ceased following the trend. Analysis of author-assigned keywords revealed that changes in keywords occurred roughly every decade with the most fundamental change in 1991–1992, instead of 2006. This change might be due to several factors including the research intensification on the Varroa mite. The genome release and CCD had quantitively only minor effects, mainly on honey bee health-related topics post-2006. Further analysis revealed that computational topic modeling can provide potentially hidden information and connections between some topics that might be ignored in author-assigned keywords.
O liberalismo e o capitalismo no Portugal do século XIX
Authors: Do Prado Bittencourt Rodrigo
Published: May 2020

Este artigo busca analisar a implantação do Liberalismo em Portugal após a guerra civil fratricida e o avanço paulatino do modo de produção capitalista. O Liberalismo gerou expectativas de liberdade, justiça e igualdade – aspirações de cunho iluminista – que o capitalismo frustrou, graças à sua produção de desigualdade social, à corrupção do poder público por influência do poder econômico e à pressão sobre as instituições responsáveis pela ordem pública no sentido da repressão de manifestações contestatórias do status quo. Assim, assistiu-se a uma maior centralização do poder, a um crescimento do Estado e à formação uma sociedade ainda mais injusta economicamente, em prejuízo dos mais pobres.
Evaluation of Functional Splits in terms of Optimal Number of Users Served in 5G Downlink
Authors: Kumar Pagadala Dinesh , K R Kishore
Published: May 2020

5G is expected to provide reliable and high-speed broadband services for connecting, monitoring and controlling everything everywhere wirelessly. Millimeter Wave spectrum, massive Multiple Input Multiple Output (mMIMO), and Cloud Radio Access Network (C-RAN), are the key technologies which are expected to make 5G a reality. When massive MIMO is implemented in the context of C-RAN, the fronthaul capacity and the choice of functional split will limit the number of antennas that can be used. This effects the maximum achievable sum rate. In this paper, we estimate the maximum number of antennas that can be used at each functional split. Further, the optimal number of users that can be served at each functional split, with Zero-Forcing (ZF) & Maximum Ratio Transmission (MRT) beamforming techniques is also investigated. It is observed that, split option 1 supports the maximum number of antennas, and serves the maximum number of users.
LIFT- A Linear Two-Phase Commit Protocol
Authors: Pandey Aman Kumar , Pandey Sarvesh , Shanker Udai
Published: May 2020

Two phase commit (2PC) protocol is used to coordinate transaction commitment in distributed database system. The 2PC protocol is further classified into linear and centralized versions. The linear version of 2PC i.e. L-2PC protocol runs serially whereas in the centralized version, the commit process allows every site involved in executing the transaction to prepare and commit in parallel. In past, very little efforts have been made to overcome the unfavourable message overhead, poor recovery process and some other problems associated with L-2PC protocol. This paper proposes a Linear and Fast-paced recovery centred Transaction commit (LIFT) protocol to improve the existing recovery mechanism of linear 2PC by allowing autonomy to the participating cohorts to inform the cohort-in-doubt about the distributed transaction’s state instead of always looking for coordinator’s stand. The performance results confirm that proposed protocol will be a better alternative.
Design of Efficient Algorithms for Video Surveillance Applications using Artificial Intelligence
Authors: M Mohana , H. V. Ravish Aradhya
Published: May 2020

Object detection and tracking algorithms such as YOLO(You Look Only Once Version V1 to V3), SSD and SORT implemented on COCO and indigenous data set for traffic surveillance and evaluated using the performance metrics such as True Positive (TP), True Negative (TN), False Positive (FP), False Negative (FN), mean Average Precession (mAP). The designed CNN trained on dataset (small and large) had similar performance on test dataset, however the CNN trained on the large datasets that had larger intra-class variations was able classify a greater number of vehicles belonging to light and two-wheeler class. It achieved a validation accuracy of 98%. VGG16 achieved an accuracy of 97% followed by MobileNetV2 and InceptionV3 with 75% and 50% accuracy respectively.
Nature Centered Belief of Konguvelalars
Authors: T Jothimani , M Sundaramoorthi
Published: May 2020

Belief plays a significant role in human life. It forms the basis for various activities of human life. People living in a particular cultural environment are found to have shared beliefs with certain beliefs that are specific to a group alone. These specific beliefs are created because of Ethnicity, Environment, Occupation and Life style of the group. Konguvelalars have unique beliefs centered around nature because of their close relationship with nature, trees, plants, animals and birds, which are different from the beliefs held by the other people who are living in the same region. This assumption forms the basis of this research. It is essential to identify the reasons behind these unique beliefs because they can be lost over a period. Uthagarai in Krishnagiri district is chosen as the study area for this research to identify the reasons behind these unique beliefs.
Recuperación del uso de la estela discoidal en Auritz/Burguete
Authors: Irigaray Gil Joxepe
Published: May 2020

RESUMEN
A partir de 1965 se dieron una serie de condiciones idóneas para la recuperación del uso de la estela discoidal como señal de enterramiento en el cementerio de Auritz/Burguete. En primer lugar, la construcción del singular nuevo cementerio creó una necesidad de señalar las sepulturas, ya que la ordenanza vigente en aquella época prohibía la reco-locación de las antiguas lápidas. Otro motivo fue la iniciativa y sensibilidad de varias personas de este pueblo que influyeron de manera decisiva en fomentar el uso de este elemento en una época en que su empleo no estaba tan generalizado ni como en siglos anteriores, ni como en la actualidad. Este artículo da noticia de este resurgir del uso de la estela discoidea en Auritz/Burguete y, además, analiza y describe las estelas antiguas localizadas en esta localidad.

LABURPENA
1965etik aurrera, kondizio egokiak zeuden disko formako hilarriak ehorzteko seinale gisa erabiltzeko ohitura berreskuratzeko Aurizko hilerrian. Lehenik eta behin, hilerri berri bat eraiki zen, berezia, eta hilobiak seinalatu beharra sortu zuen horrek, garai hartan indarrean zegoen ordenantzak debekatu egiten baitzuen hilarri zaharrak berriz
sentsibilitatea, eragin erabakigarria izan baitzuten elementu horren erabilera sustatzeari bezain orokorki erabiltzen, ezta gaur bezainbeste ere. Artikulu honen bidez, Aurizko -nera, udalerri horretan aurkitutako antzinako hilarriak aztertzen eta deskribatzen dira.

ABSTRACT
From 1965 onwards, a series of ideal conditions led to the restoration of the use of the disc-shaped funerary stelae to mark the place of burial in the cementery of Auritz/Burguete. Firstly, the construction of this unique new cemetery created the need to identify the graves, given that the ordinance in force at the time prohibited the relocation of the old tombstones. A further motive was the initiative and response of a number of villagers. These people had a decisive influence on encouraging the use of this element in a period in which its use was not as widespread as in previous centuries or in present times. This work reports on the resurgence of the use of the disc-shaped funerary stelae in Auritz/Burguete and, moreover, it analyses and describes the former stelae located in this village.
Menyibak Masalah Empat Metode untuk Menganalisis Data
Authors: Setiawan Adib Rifqi
Published: May 2020

Menggunakan skor sebelum dan sesudah tes dari dua bagian pembelajaran tematik (Tema 6 dan 7) yang dilaksanakan pada tahun 2020 di kelas 5 MI NU Taywiquth Thullab Salafiyyah (TBS) Kudus, kami menggambarkan bagaimana metode yang umum digunakan dalam pustaka riset pendidikan, membandingkan: (1) skor perubahan mentah; (2) skor peningkatan dinormalisasi ; (3) skor perubahan dinormalisasi c; dan (4) ukuran efek d; dapat mengarah kepada simpulan yang salah dan bukan kerangka kerja efektif untuk membedakan dampak tindakan pembelajaran.