bluuebunny/crossref_metadata_2025 huggingface dataset:
Status Quo of Professional–Patient Relations in the Internet Era: Bibliometric and Co-Word Analyses
Authors: Wang Zekun , Deng Zhaohua , Wu Xiang
Published: April 2019

Background: Incidents of violence against medical staff have increased in intensity, showing the deteriorating relationship between doctors and patients in China over the past few years. In addition, professional–patient relations have been significantly affected in the Internet era in China, which has attracted great attention from many scholars. This study aims to analyze the research status of professional–patient relations in the Internet era in China and further reveal its research pattern and trends. Methods: This study collected journal articles published during the past 21 years from the Wanfang Data Knowledge Service Platform. Then, bibliometric analysis was carried out, including publication growth, core author and collaborative degree, highly cited papers, journal distribution, and institution distribution analyses. We also analyzed the subject heading–source literature matrix and co-occurrence matrix of keywords through hierarchical cluster, social network, and strategic diagram analyses. Results: The number of articles has continually risen since 1998, which follows the growth law of literature. Furthermore, the distribution of these studies obeys Bradford’s law of scattering, and mainly concentrates on the fields of medicine and health technology. The distribution of high-frequency keywords follows Zipf’s law. Conclusions: We identified eight focal research directions, namely: website building (especially for professional–patient interaction), telemedicine, professional–patient communication and network public opinion, professional–patient contradiction and health education, new media, follow-up interaction platform, healthcare reform and computer network, and medical ethics.
Estimating Hilly Areas Population Using a Dasymetric Mapping Approach: A Case of Sri Lanka’s Highest Mountain Range
Authors: Karunarathne Ananda , Lee Gunhak
Published: April 2019

Since populations in the developing world have been rapidly increasing, accurately determining the population distribution is becoming more critical for many countries. One of the most widely used population density estimation methods is dasymetric mapping. This can be defined as a precise method for areal interpolation between different spatial units. In most applications of dasymetric mapping, land use and land cover data have been considered as ancillary data for the areal disaggregation process. This research presents an alternative dasymetric approach using area specific ancillary data for hilly area population mapping in a GIS environment. Specifically, we propose a Hilly Area Dasymetric Mapping (HDM) technique by combining topographic variables and land use to better disaggregate hilly area population distribution at fine-grain division of ancillary units. Empirical results for Sri Lanka’s highest mountain range show that the combined dasymetric approach estimates hilly area population most accurately because of the significant association that is found to exist between topographic variables and population distribution within this setting. This research is expected to have significant implications for national and regional planning by providing useful information about actual population distributions in environmentally hazardous and sparsely populated areas.
A Methodology for Heterogeneous Sensor Data Organization and Near Real-Time Data Sharing by Adopting OGC SWE Standards
Authors: Ventura Bartolomeo , Vianello Andrea , Frisinghelli Daniel , Rossi Mattia , Monsorno Roberto , Costa Armin
Published: April 2019

Finding a solution to collect, analyze, and share, in near real-time, data acquired by heterogeneous sensors, such as traffic, air pollution, soil moisture, or weather data, represents a great challenge. This paper describes the solution developed at Eurac Research to automatically upload data, in near real-time, by adopting Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards to guarantee interoperability. We set up a methodology capable of ingesting heterogeneous datasets to automatize observation uploading and sensor registration, with minimum interaction required of the user. This solution has been successfully tested and applied in the Long Term (Socio-)Ecological Research (LT(S)ER) Matsch-Mazia initiative, and the code is accessible under the CC BY 4.0 license.
A Mesh-Based Typification Method for Building Groups with Grid Patterns
Authors: Wang Xiao , Burghardt Dirk
Published: April 2019

Building groups with special patterns are common layouts in urban settlement areas, which should be carefully generalized. Typification is considered as an appropriate operator to generalize building groups with grid patterns. As an important operator in building generalization, the purpose of typification is to reduce the number of objects while preserving the original distribution characteristics as much as possible. This study proposes a mesh-based method to typify buildings with grid patterns. Firstly, the pattern is subdivided into perfect grid or grid-like patterns by considering the completeness of the grids. The proposed typification method consists of three steps: (1) generating mesh from the proximity graph of buildings; (2) eliminating triangular meshes; (3) determining the number, positions, and representations of the newly created buildings with the help of the related meshes. The proposed method is modeled as an iterative process to achieve hierarchical typification results, which provides support to the map multiple representation. The experimental results demonstrate that the mesh-based typification method can achieve satisfying results in the perfect grid pattern, as well as the grid-like pattern. The new distribution of the typified buildings preserves the original pattern characteristics.
Mobility Data Warehouses
Authors: Vaisman Alejandro , Zimányi Esteban
Published: April 2019

The interest in mobility data analysis has grown dramatically with the wide availability of devices that track the position of moving objects. Mobility analysis can be applied, for example, to analyze traffic flows. To support mobility analysis, trajectory data warehousing techniques can be used. Trajectory data warehouses typically include, as measures, segments of trajectories, linked to spatial and non-spatial contextual dimensions. This paper goes beyond this concept, by including, as measures, the trajectories of moving objects at any point in time. In this way, online analytical processing (OLAP) queries, typically including aggregation, can be combined with moving object queries, to express queries like “List the total number of trucks running at less than 2 km from each other more than 50% of its route in the province of Antwerp” in a concise and elegant way. Existing proposals for trajectory data warehouses do not support queries like this, since they are based on either the segmentation of the trajectories, or a pre-aggregation of measures. The solution presented here is implemented using MobilityDB, a moving object database that extends the PostgresSQL database with temporal data types, allowing seamless integration with relational spatial and non-spatial data. This integration leads to the concept of mobility data warehouses. This paper discusses modeling and querying mobility data warehouses, providing a comprehensive collection of queries implemented using PostgresSQL and PostGIS as database backend, extended with the libraries provided by MobilityDB.
Electrically-Induced Ventricular Fibrillation Alters Cardiovascular Function and Expression of Apoptotic and Autophagic Proteins in Rat Hearts
Authors: Czegledi Andras , Tosaki Agnes , Gyongyosi Alexandra , Zilinyi Rita , Tosaki Arpad , Lekli Istvan
Published: April 2019

Background: The pathological heart contractions, called arrhythmias, especially ventricular fibrillation (VF), are a prominent feature of many cardiovascular diseases leading to sudden cardiac death. The present investigation evaluates the effect of electrically stimulated VF on cardiac functions related to autophagy and apoptotic mechanisms in isolated working rat hearts. Methods: Each group of hearts was subjected to 0 (Control), 1, 3, or 10 min of spacing-induced VF, followed by 120 min of recovery period and evaluated for cardiac functions, including aortic flow (AF), coronary flow (CF), cardiac output (CO), stroke volume (SV), and heart rate (HR). Hearts were also evaluated for VF effects on infarcted zone magnitude and Western blot analysis was conducted on heart tissue for expression of the apoptotic biomarker cleaved-caspase-3 and the autophagy proteins: p62, P-mTOR/mTOR, LC3BII/LC3BI ratio, and Atg5-12 complexes. Results: Data revealed that VF induced degradation in AF, CF, CO, and SV, which prominently included-variable post-VF capacity for recovery of normal heart rhythm; increased extent of infarcted heart tissue; altered expression of cleaved-caspase-3 suggesting potential for VF-mediated amplification of apoptosis. VF influence on expression of p62, LC3BII/LC3BI, and Atg5-12 proteins was complex, possibly due to differential effects of VF-induced expression on proteins comprising the autophagic program. Conclusions: VF was observed to cause time-dependent changes in autophagy processes, which with additional analysis under ongoing investigations, likely to yield novel therapeutic targets for the prevention of VF and sudden cardiac death.
The Olfactory System of Zebrafish as a Model for the Study of Neurotoxicity and Injury: Implications for Neuroplasticity and Disease
Authors: Calvo-Ochoa Erika , Byrd-Jacobs Christine A.
Published: April 2019

The olfactory system, composed of the olfactory organs and the olfactory bulb, allows organisms to interact with their environment and through the detection of odor signals. Olfaction mediates behaviors pivotal for survival, such as feeding, mating, social behavior, and danger assessment. The olfactory organs are directly exposed to the milieu, and thus are particularly vulnerable to damage by environmental pollutants and toxicants, such as heavy metals, pesticides, and surfactants, among others. Given the widespread occurrence of olfactory toxicants, there is a pressing need to understand the effects of these harmful compounds on olfactory function. Zebrafish (Danio rerio) is a valuable model for studying human physiology, disease, and toxicity. Additionally, the anatomical components of the zebrafish olfactory system are similar to those of other vertebrates, and they present a remarkable degree of regeneration and neuroplasticity, making it an ideal model for the study of regeneration, reorganization and repair mechanisms following olfactory toxicant exposure. In this review, we focus on (1) the anatomical, morphological, and functional organization of the olfactory system of zebrafish; (2) the adverse effects of olfactory toxicants and injury to the olfactory organ; and (3) remodeling and repair neuroplasticity mechanisms following injury and degeneration by olfactory toxicant exposure.
The Secreted Protein MoHrip1 Is Necessary for the Virulence of Magnaporthe oryzae
Authors: Nie Hai-Zhen , Zhang Lin , Zhuang Hui-Qian , Shi Wen-Jiong , Yang Xiu-Fen , Qiu De-Wen , Zeng Hong-Mei
Published: April 2019

Secreted effectors from Magnaporthe oryzae play critical roles in the interaction with rice to facilitate fungal infection and disease development. M. oryzae-secreted protein MoHrip1 can improve plant defense as an elicitor in vitro, however, its biological function in fungal infection is not clear. In this study, we found that the expression of mohrip1 was significantly induced in the stages of fungal penetration and colonization. Although dispensable for the growth and conidiation, MoHrip1 was necessary for the full virulence of M. oryzae. Deletion of mohrip1 remarkably compromised fungal virulence on rice seedlings and even on rice leaves with wounds. Rice sheath inoculation assay further demonstrated the defects of mohrip1-deleted mutants on penetration and proliferation in rice cells. Additionally, compared with WT and complementation strain, the inoculation of mohrip1-deleted mutants induced a higher expression of specific defense related genes and a higher production of specific defensive compounds in rice leaves. These data collectively indicated that MoHrip1 is necessary for fungal penetration and invasive expansion, and further full virulence of rice blast fungus.
A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans
Authors: Lovino Marta , Urgese Gianvito , Macii Enrico , Di Cataldo Santa , Ficarra Elisa
Published: April 2019

Gene fusions have a very important role in the study of cancer development. In this regard, predicting the probability of protein fusion transcripts of developing into a cancer is a very challenging and yet not fully explored research problem. To this date, all the available approaches in literature try to explain the oncogenic potential of gene fusions based on protein domain analysis, that is cancer-specific and not easy to adapt to newly developed information. In our work, we choose the raw protein sequences as the input baseline, and propose the use of deep learning, and more specifically Convolutional Neural Networks, to infer the oncogenity probability score of gene fusion transcripts and to group them into a number of categories (e.g., oncogenic/not oncogenic). This is an inherently flexible methodology that, unlike previous approaches, can be re-trained with very less efforts on newly available data (for example, from a different cancer). Based on experimental results on a large dataset of pre-annotated gene fusions, our method is able to predict the oncogenity potential of gene fusion transcripts with accuracy of about 72%, which increases to 86% if we consider the only instances that are classified with a high confidence level.
Interoperability in Smart Manufacturing: Research Challenges
Authors: Zeid Abe , Sundaram Sarvesh , Moghaddam Mohsen , Kamarthi Sagar , Marion Tucker
Published: April 2019

Recent advances in manufacturing technology, such as cyber–physical systems, industrial Internet, AI (Artificial Intelligence), and machine learning have driven the evolution of manufacturing architectures into integrated networks of automation devices, services, and enterprises. One of the resulting challenges of this evolution is the increased need for interoperability at different levels of the manufacturing ecosystem. The scope ranges from shop–floor software, devices, and control systems to Internet-based cloud-platforms, providing various services on-demand. Successful implementation of interoperability in smart manufacturing would, thus, result in effective communication and error-prone data-exchange between machines, sensors, actuators, users, systems, and platforms. A significant challenge to this is the architecture and the platforms that are used by machines and software packages. A better understanding of the subject can be achieved by studying industry-specific communication protocols and their respective logical semantics. A review of research conducted in this area is provided in this article to gain perspective on the various dimensions and types of interoperability. This article provides a multi-faceted approach to the research area of interoperability by reviewing key concepts and existing research efforts in the domain, as well as by discussing challenges and solutions.
Molecular Targets of Fatty Acid Ethanolamides in Asthma
Authors: Kytikova Oxana , Novgorodtseva Tatyana , Antonyuk Marina , Denisenko Yulia , Gvozdenko Tatyana
Published: April 2019

Asthma is a common allergic pathology of the respiratory tract that requires the study of mechanisms underlying it, due to severe forms of the disease, which are refractory to therapy. The review is devoted to the search for molecular targets of fatty acid ethanolamides in asthma, in particular palmitoylethanolamide (PEA), which has been successfully used in the treatment of chronic inflammatory and neurodegenerative diseases, in the pathogenesis of which the nervous and immune systems are involved. Recently, the potentially important role of neuro-immune interactions in the development of allergic reactions has been established. Many of the clinical symptoms accompanying allergic airway inflammation are the result of the activation of neurons in the airways, so the attention of researchers is currently focused on neuro-immune interactions, which can play an important role in asthma pathophysiology. A growing number of scientific works confirm that the key molecule in the implementation of these inter-systemic interactions is nerve growth factor (NGF). In addition to its classic role in nervous system physiology, NGF is considered as an important factor associated with the pathogenesis of allergic diseases, particularly asthma, by regulating of mast cell differentiation. In this regard, NGF can be one of the targets of PEA in asthma therapy. PEA has a biological effect on the nervous system, and affects the activation and the degranulation of mast cells.
Silicon Carbide-Coated Ceramic Membrane Bioreactor for Sustainable Water Purification
Authors: Surappanahalli Rajanna Sowmya , Madhu Gattumane Motappa , Madhusoodana Chengala Damodara , Govindarajan Adithya
Published: April 2019

In the present study, a submerged ceramic membrane bioreactor was used to effectively treat industrial wastewater. The outcome of membrane coatings on the efficacy of the membrane was investigated using a silicon carbide (SiC) coating. The flux data obtained from the study were fitted into two mathematical models, namely, the standard pore blocking model (SPBM) and the complete pore plugging model (CPPM) in order to determine the fouling mechanism. It was observed that the SPBM fit with a minimum coefficient of regression of 0.95, suggesting that particles retained on the pore walls were smaller than the average size of membrane pores. An increase in dissolved oxygen (DO) of up to 225% was noted. The significant improvement of the water quality in terms of DO, chemical oxygen demand (COD) and turbidity of coated membrane emphasizes the fact that the membrane coating increases the efficacy of water treatment in membrane bioreactors.
HILIC-Enabled 13C Metabolomics Strategies: Comparing Quantitative Precision and Spectral Accuracy of QTOF High- and QQQ Low-Resolution Mass Spectrometry
Authors: Feith André , Teleki Attila , Graf Michaela , Favilli Lorenzo , Takors Ralf
Published: April 2019

Dynamic 13C-tracer-based flux analyses of in vivo reaction networks still require a continuous development of advanced quantification methods applying state-of-the-art mass spectrometry platforms. Utilizing alkaline HILIC chromatography, we adapt strategies for a systematic quantification study in non- and 13C-labeled multicomponent endogenous Corynebacterium glutamicum extracts by LC-QTOF high resolution (HRMS) and LC-QQQ tandem mass spectrometry (MS/MS). Without prior derivatization, a representative cross-section of 17 central carbon and anabolic key intermediates were analyzed with high selectivity and sensitivity under optimized ESI-MS settings. In column detection limits for the absolute quantification range were between 6.8–304.7 (QQQ) and 28.7–881.5 fmol (QTOF) with comparable linearities (3–5 orders of magnitude) and enhanced precision using QQQ-MRM detection. Tailor-made preparations of uniformly (U)13C-labeled cultivation extracts for isotope dilution mass spectrometry enabled the accurate quantification in complex sample matrices and extended linearities without effect on method parameters. Furthermore, evaluation of metabolite-specific m+1-to-m+0 ratios (ISR1:0) in non-labeled extracts exhibited sufficient methodical spectral accuracies with mean deviations of 3.89 ± 3.54% (QTOF) and 4.01 ± 3.01% (QQQ). Based on the excellent HILIC performance, conformity analysis of time-resolved isotopic enrichments in 13C-tracer experiments revealed sufficient spectral accuracy for QQQ-SIM detection. However, only QTOF-HRMS ensures determination of the full isotopologue space in complex matrices without mass interferences.
Analysis of Selected Endocrine Disrupters Fraction Including Bisphenols Extracted from Daily Products, Food Packaging and Treated Wastewater Using Optimized Solid-Phase Extraction and Temperature-Dependent Inclusion Chromatography
Authors: Kaleniecka Aleksandra , Zarzycki Paweł K.
Published: April 2019

The aim of this research is to demonstrate the concept and ability for the fast and preliminary screening of complex food and environmental samples for the presence of endocrine disrupters fractions, consisting of low-molecular mass micropollutants, particularly various bisphenols (A, B, C, E, F, S, Z, AF, AP, BP and FL). The developed analytical protocol for this research requires two main steps: (i) optimized solid phase extraction (SPE) for selective isolation, purification and pre-concentration of target fraction, and (ii) selective temperature-dependent inclusion chromatography for samples analysis via a HPLC-UV-VisDAD system using isocratic elution and internal standard quantification approach. The chromatographic experiment revealed that both β-CD and its hydroxypropyl derivative strongly interact with selected bisphenols. This is in contrast to the steroids and PAHs molecules investigated previously, where a strong interaction with β-cyclodextrin was observed. Integrated areas derived from acquired chromatographic profiles for each individual sample were used as the simple classification variable enabling samples comparison. We demonstrated that the proposed analytical protocol allows for fast estimation of EDC fractions in various daily use products, food and environmental samples. The materials of interest were selected due to the presence in surface water ecosystems of their residues, and finally, in raw wastewater including rice bags, plastic bags, cloths, sanitary towels, fish baits and various plastic foils from food products. Treated sewage water released directly to the environment from a municipal treatment plant (Jamno, Koszalin) was also investigated. It has been demonstrated that a whole range of low-molecular mass compounds, which may be detected using UV-Vis detector, can easily be emitted from various in daily use products. The presence of micropollutants in treated wastewater, water ecosystems and plastic waste utilization via technological wastewater treatment processes must be addressed, especially in terms of microplastic-based pollutants acting as endocrine disrupters. It is hoped that the proposed simple analytical protocol will be useful for fast sample classification or selection prior to advanced targeted analysis involving the more accurate quantification of specific analytes using e.g., mass spectrometry detectors.
A Cross-Linker-Based Poly(Ionic Liquid) for Sensitive Electrochemical Detection of 4-Nonylphenol
Authors: Hu Jian , Dai Hao , Zeng Yanbo , Yang Yiwen , Wang Hailong , Zhu Xudong , Li Lei , Zhou Guobao , Chen Ruoyu , Guo Longhua
Published: April 2019

In this study, we report a cross-linker-based poly(ionic liquid) (PIL) for the sensitive detection of 4-nonylphenol (4-NP). PIL was poly(1,4-butanediyl-3,3′-bis-l-vinylimidazolium dibromide) (poly([V2C4(mim)2]Br2)). Poly([V2C4(mim)2]Br2) was prepared via one-step free-radical polymerization. The poly([V2C4(mim)2]Br2) was characterized by infrared spectroscopy, Raman spectroscopy, thermal gravimetric analyzer and scanning electron microscope. The poly([V2C4(mim)2]Br2) was then drop-cast onto a glassy carbon electrode (GCE) to obtain poly([V2C4(mim)2]Br2)/GCE. In comparison with a bare GCE, poly([V2C4(mim)2]Br2)/GCE exhibited higher peak current responses for [Fe(CN)6]3−/4−, lower charge transfer resistance, and larger effective surface area. While comparing the peak current responses, we found the peak current response for 4-NP using poly([V2C4(mim)2]Br2)/GCE to be 3.6 times higher than a traditional cross-linker ethylene glycol dimethacrylate (EGDMA) based poly(EGDMA) modified GCE. The peak current of poly([V2C4(mim)2]Br2) sensor was linear to 4-NP concentration from 0.05 to 5 μM. The detection limit of 4-NP was obtained as 0.01 μM (S/N = 3). The new PIL based electrochemical sensor also exhibited excellent selectivity, stability, and reusability. Furthermore, the poly([V2C4(mim)2]Br2)/GCE demonstrated good 4-NP detection in environmental water samples.
Research on Lane a Compensation Method Based on Multi-Sensor Fusion
Authors: Li Yushan , Zhang Wenbo , Ji Xuewu , Ren Chuanxiang , Wu Jian
Published: April 2019

The curvature of the lane output by the vision sensor caused by shadows, changes in lighting and line breaking jumps over in a period of time, which leads to serious problems for unmanned driving control. It is particularly important to predict or compensate the real lane in real-time during sensor jumps. This paper presents a lane compensation method based on multi-sensor fusion of global positioning system (GPS), inertial measurement unit (IMU) and vision sensors. In order to compensate the lane, the cubic polynomial function of the longitudinal distance is selected as the lane model. In this method, a Kalman filter is used to estimate vehicle velocity and yaw angle by GPS and IMU measurements, and a vehicle kinematics model is established to describe vehicle motion. It uses the geometric relationship between vehicle and relative lane motion at the current moment to solve the coefficient of the lane polynomial at the next moment. The simulation and vehicle test results show that the prediction information can compensate for the failure of the vision sensor, and has good real-time, robustness and accuracy.
An Fiber Bragg Grating-Based Monitoring System for Slope Deformation Studies in Geotechnical Centrifuges
Authors: Zhang Lei , Shi Bin , Zeni Luigi , Minardo Aldo , Zhu Honghu , Jia Lixiang
Published: April 2019

Centrifugal model tests, which can reproduce the deformation process of the slope, play a crucial role in investigating the mechanism of slope failure. The FBG-based sensors, with high precision, electromagnetic resistance, light weight and small size, have been introduced into geotechnical centrifuge monitoring. The slope evolution is a complex multi-parameter dynamic process which involves the interaction of displacement, stress and strain. However, current research is mainly focused on one or two monitoring aspects, i.e., strain or displacement monitoring to study some specific questions. To achieve multi-parameter and real-time monitoring, a comprehensive fiber Bragg grating (FBG) monitoring system including miniaturized anchors, earth pressure gauges, inclinometer pipe and retaining wall, has been designed for geotechnical centrifuge tests. Before the centrifugal test, laboratory calibrations of sensors were carried out. The calibration results indicate that the FBG-based sensors can monitor the strain, stress and displacement variation precisely. The multi-parameter information related to slope stability were captured and analyzed in detail. The stress state of the anchors, strain distribution of retaining wall together with the displacement of the inclinometer pipe indicate the progressive evolutionary process of the model slope. The test results also indicate that the critical centrifugal force for the transition of the sliding surface is 45 g, after which, a sliding surface is formed in the soil above the retaining wall. The feasibility and validity of the monitoring system is verified by a comparison between the results of FBG-based sensors and those of a numerical simulation. In summary, the innovative FBG-based monitoring system has provided a feasible multi-parameter monitoring method in geotechnical centrifugal tests so as to facilitate further in-depth analysis.
Efficient Traffic Video Dehazing Using Adaptive Dark Channel Prior and Spatial–Temporal Correlations
Authors: Dong Tianyang , Zhao Guoqing , Wu Jiamin , Ye Yang , Shen Ying
Published: April 2019

In order to restore traffic videos with different degrees of haziness in a real-time and adaptive manner, this paper presents an efficient traffic video dehazing method using adaptive dark channel prior and spatial-temporal correlations. This method uses a haziness flag to measure the degree of haziness in images based on dark channel prior. Then, it gets the adaptive initial transmission value by establishing the relationship between the image contrast and haziness flag. In addition, this method takes advantage of the spatial and temporal correlations among traffic videos to speed up the dehazing process and optimize the block structure of restored videos. Extensive experimental results show that the proposed method has superior haze removing and color balancing capabilities for the images with different degrees of haze, and it can restore the degraded videos in real time. Our method can restore the video with a resolution of 720 × 592 at about 57 frames per second, nearly four times faster than dark-channel-prior-based method and one time faster than image-contrast-enhanced method.
RETRACTED: Modern Virtual Fencing Application: Monitoring and Controlling Behavior of Goats Using GPS Collars and Warning Signals
Authors: Muminov Azamjon , Na Daeyoung , Lee Cheolwon , Kang Hyun , Jeon Heung
Published: April 2019

This paper describes our virtual fence system for goats. The present invention is a method of controlling goats without visible physical fences and monitoring their condition. Control occurs through affecting goats, using one or more sound signals and electric shocks when they attempt to enter a restricted zone. One of the best Machine Learning (ML) classifications named Support Vector Machines (SVM) is used to observe the condition. A virtual fence boundary can be of any geometrical shape. A smart collar on goats’ necks can be detected by using a virtual fence application. Each smart collar consists of a global positioning system (GPS), an XBee communication module, an mp3 player, and an electrical shocker. Stimuli and classification results are presented from on-farm experiments with a goat equipped with smart collar. Using the proposed stimuli methods, we showed that the probability of a goat receiving an electrical stimulus following an audio cue (dog and emergency sounds) was low (20%) and declined over the testing period. Besides, the RBF kernel-based SVM classification model classified lying behavior with an extremely high classification accuracy (F-score of 1), whilst grazing, running, walking, and standing behaviors were also classified with a high accuracy (F-score of 0.95, 0.97, 0.81, and 0.8, respectively).
Age-Related Differences in the Physical and Physiological Demands during Small-Sided Games with Floaters
Authors: Rábano-Muñoz Alberto , Asian-Clemente Jose , Sáez de Villarreal Eduardo , Nayler Jack , Requena Bernardo
Published: April 2019

The purpose of this study was to compare the physical and physiological demands of a small-sided game (SSG) in three different age groups (senior, under-19 [U-19] and under-17 [U-17]) belonging to the same academy. A further aim was to contrast the physical and physiological profiles of normal and floater players during this task. Thirty male football players performed a 4 vs. 4 + 2 floaters on a playing field of 40 by 30m for four bouts of 4 min with 2 min of passive recovery. In addition to heart rate (mean and maximal), a GPS (Global Positioning System) system was used to record the distances covered at different speeds, the number of accelerations and decelerations, and the work/rest ratio (W:R Ratio). Analysis of the data showed that the demands of the SSGs are determined by the age of the players and that the regular players have greater demands than floater players in the SSGs utilized. These results suggest that the coaches should pay attention to the promotion of players to superior teams because there are physical differences between them (especially the U-17 to U-19 teams). Likewise, coaches should understand that floaters are a useful tool for regulating the training load of players and programming the return-to-play process, as floater players experience lower demands than normal players.
A Novel Hybrid Evolutionary Data-Intelligence Algorithm for Irrigation and Power Production Management: Application to Multi-Purpose Reservoir Systems
Authors: Yaseen Zaher Mundher , Ehteram Mohammad , Hossain Md. Shabbir , Fai Chow Ming , Binti Koting Suhana , Mohd Nuruol Syuhadaa , Binti Jaafar Wan Zurina , Afan Haitham Abdulmohsin , Hin Lai Sai , Zaini Nuratiah , Ahmed Ali Najah , El-Shafie Ahmed
Published: April 2019

Multi-purpose advanced systems are considered a complex problem in water resource management, and the use of data-intelligence methodologies in operating such systems provides major advantages for decision-makers. The current research is devoted to the implementation of hybrid novel meta-heuristic algorithms (e.g., the bat algorithm (BA) and particle swarm optimization (PSO) algorithm) to formulate multi-purpose systems for power production and irrigation supply. The proposed hybrid modelling method was applied for the multi-purpose reservoir system of Bhadra Dam, which is located in the state of Karnataka, India. The average monthly demand for irrigation is 142.14 (106 m3), and the amount of released water based on the new hybrid algorithm (NHA) is 141.25 (106 m3). Compared with the shark algorithm (SA), BA, weed algorithm (WA), PSO algorithm, and genetic algorithm (GA), the NHA decreased the computation time by 28%, 36%, 39%, 82%, and 88%, respectively, which represents an excellent enhancement result. The amount of released water based on the proposed hybrid method attains a more reliable index for the volumetric percentage and provides a more effective operation rule for supplying the irrigation demand. Additionally, the average demand for power production is 18.90 (106 kwh), whereas the NHA produces 18.09 (106 kwh) of power. Power production utilizing the NHA’s operation rule achieved a sufficient magnitude relative to that of stand-alone models, such as the BA, PSO, WA, SA, and GA. The excellent proficiency of the developed intelligence expert system is the result of the hybrid structure of the BA and PSO algorithm and the substitution of weaker solutions in each algorithm with better solutions from other algorithms. The main advantage of the proposed NHA is its ability to increase the diversity of solutions and hence avoid the worst possible solutions obtained using BA, that is, preventing a decrease in local optima. In addition, the NHA enhances the convergence rate obtained using the PSO algorithm. Hence, the proposed NHA as an intelligence model could contribute to providing reliable solutions for complex multi-purpose reservoir systems to optimize the operation rule for similar reservoir systems worldwide.
The Non-Linear Effect of Financial Support on Energy Efficiency: Evidence from China
Authors: Chen Shuanglian , Liao Gaoke , Drakeford Benjamin M. , Failler Pierre
Published: April 2019

This study examines the non-linear effect of financial support on energy efficiency for 30 provinces in China, over the period 2003 to 2016. Specifically, we find that technological progress is a key factor in improving energy efficiency, regardless of the transition variable or sample chosen. The non-linear effects of the support of different financial sectors on energy efficiency are different. Banks have the greatest positive impact on energy efficiency, but as economic and financial development levels increase, this impact will diminish. The impact of securities on energy efficiency is contrary to bank support, because as the level of economic and financial development increases, the impact of securities on energy efficiency will shift from negative to positive. The impact of insurance support on energy efficiency is not significant.
RELACIÓN ENTRE CULTURA PSICOPEDAGÓGICA Y CONTENIDO PSICOPEDAGÓGICO EN LA FORMACIÓN DEL EDUCADOR
Authors: Parra Vigo Isel Bibiana , Martínez Angulo Marta Rosa
Published: April 2019

Desde el análisis de la relación entre cultura psicopedagógica y el contenido psicopedagógico como componente del proceso de     en la formación de educadores, se hace una propuesta de qué conocimientos, habilidades, valores y  experiencias  de  la  actividad  creadora,  como  tipos  de  contenido,  deben incluirse en esta formación. Se incluyen reflexiones sobre las peculiaridades de este contenido psicopedagógico, sus funciones y su manifestación en el desempeño y en el modo de actuación profesional pedagógica. 

PALABRAS   CLAVE:   cultura   psicopedagógica;   contenido   psicopedagógico; proceso de enseñanza – aprendizaje; actividad creadora; modo de actuación profesional;  modo de actuación pedagógico.

ABSTRACT 

From the analysis of the relationship between culture psycho-pedagogical and the contained psycho-pedagogical like component of the teaching and learning process in the formation of educators, a proposal is made of what knowledge, abilities, values and experiences of the creative activity, as content types, they should be included in this formation. Reflections are included about the peculiarities of this contained psycho-pedagogical, their functions and their manifestation in the acting and in the way of pedagogic professional performance.

KEYWORDS: psychopedagogical culture; Psychopedagogical content; Teaching - learning process; Creative activity; Mode of action; Mode of pedagogical action.
¿LITERATURIZAR EL PERIODISMO O NOVELAR LA REALIDAD? UNA PERSPECTIVA A LA HIBRIDACIÓN DISCIPLINARIA Y A LA TRADICIÓN DEL PERIODISMO LITERARIO
Authors: Benavides Bailón Jeovanny
Published: April 2019

Las fronteras entre periodismo y literatura son cada vez más difusas. La simbiosis entre ambas disciplinas ha generado una nueva manera de concebir el periodismo y también la literatura. Incluso la concesión del Premio Nobel de Literatura 2015 a la reportera y escritora bielorrusa Svetlana Alexiévich por su trabajo periodístico puso en tela de debate la hibridación que tratamos en el presente texto. Periodismo y literatura pretenden narrar qué sucedió, las actitudes de un personaje en un sitio determinado. Hay una relación filial que se encuentra presente, sobre todo, en géneros como la crónica y el reportaje. Contar la realidad con herramientas de la ficción no es nuevo, pues posee una tradición relevante. El periodismo literario pretende ser el marco que permita enfocar una orientación específica hacia el estudio de relatos que emplean mecanismos y recursos expresivos propios de la ficción narrativa y que simultáneamente conserva el carácter informativo de los textos rigurosamente periodísticos.

PALABRAS CLAVE: periodismo; literatura; relaciones; tradición.

ABSTRACT 

The boundaries between journalism and literature are more diffuse. The symbiosis between both disciplines has created a new way of conceiving the journalism and literature. Even the award of the Nobel Prize for literature 2015 reporter and Belarusian writer Svetlana Alexiévich for his journalistic work debate questioned the hybridization that we discussed in the text. Journalism and literature to narrate what happened, the attitudes of a character in a given site. There is a subsidiary relations that is present, especially in genres such as the Chronicle and the report. Counting reality with fiction tools is not new, as it has a relevant tradition. Literary Journalism aims to be the framework that allows you to focus on a specific orientation towards the study of stories that employ mechanisms and expressive resources of narrative fiction and which simultaneously preserves the informational nature of the strictly journalistic texts.

KEYWORDS: journalism; literature; relations; tradition.
CONDICIONES Y PERSPECTIVAS DE LA FORMACIÓN PROFESIONAL EN EL CONTEXTO DE LA SOCIEDAD DE LA INFORMACIÓN Y EL CONOCIMIENTO
Authors: Pico Mieles José Grismaldo , Barzaga Sablón Oscar Santiago
Published: April 2019

El presente trabajo aborda una de las problemáticas más acuciantes de la actualidad que es la formación profesional en el contexto de la sociedad de la información y el conocimiento en los marcos de la gestión empresarial. Su objetivo es analizar la importancia de la formación profesional y su impacto en la sociedad y en la empresa, a partir de la aplicación de novedosas estrategia de formación de competencias profesionales. Donde se analizan los factores que limitan el proceso de formación profesional. La metodología se fundamenta en la aplicación de métodos teóricos como: la abstracción científica, el método comparativo, el análisis de documentos y el método sistémico estructural funcional.

PALABRAS CLAVE: sociedad de la información;   sociedad del conocimiento; formación profesional; competencias profesionales.

ABSTRACT

The present work addresses one of the most pressing problems of today who is vocational training in the context of the information society and the knowledge in the frames of the business management. Its objective is to analyze the importance of vocational training and its impact on the society and in the enterprise, from the application of innovative training strategy of professional competences. Where it analyzes the factors that limit the process of vocational training. The methodology was based on the application of theoretical methods as: the scientific abstraction, the comparative method, the analysis of documents and the functional structural systemic approach. 

KEYWORDS:  information  society;  knowledge  society;  vocational  training; professional competences.
EL TRABAJO AUTÓNOMO Y SU INSERCIÓN EN EL CICLO DE APRENDIZAJE EN EL CURRÍCULO DE EDUCACIÓN FÍSICA
Authors: Mera Chinga Oscar Egberto , Enríquez Caro Lázaro Clodoaldo , Castro Bermúdez Idelisa Esther , Zamora Vera Bella Flor
Published: April 2019

El  trabajo  constituye  una  aproximación  teórica  y  práctica  al  tema  de  la didáctica  en  el  área  de  la  educación  física,  a  partir  de  un  análisis epistemológico del trabajo autónomo y de las fase del ciclo de aprendizaje, se presenta  la  discusión  en  torno  al  valor  de  asumir  con  responsabilidad  el proceso formativo a través de la educación del cuerpo y de la mente por parte del docente de esta especialidad. Se argumenta el potencial educativo de la única disciplina del currículo en la cual el niño puede expresar con plenitud su desarrollo intelectual, afectivo volitivo y motriz, todo lo cual crea condiciones especiales para ejercer una influencia verdaderamente desarrolladora. Se presentan los argumentos teóricos que evidencian la necesidad de armonizar las concepciones del trabajo autónomo con el ciclo de aprendizaje basado en el modelo de David Kolb (1984) y se discute un ejemplo práctico que sustenta la posición de los investigadores.

PALABRAS CLAVE: trabajo autónomo; aprendizaje; currículo; educación física.

ABSTRACT

The work constitutes a theoretical and practical approach to the issue of the teaching in the area of physical education, from an epistemological analysis of self-employment  and  the  phase  of  the  cycle  of  learning, is  the  discussion around the value assumes responsibly the formative process of the education of the  body  and  the  mind  by  the  teacher  of  this  specialty.  The  educational potential of the unique discipline of the curriculum in which the child can express fully their volitional and motor, intellectual, affective development argues all of which create special conditions for a truly developer influence. The theoretical arguments that demonstrate the need to harmonize the concepts of self-employment with the learning cycle based on the model of David Kolb (1984) are presented and discussed a  practical example that supports the position of the researchers.

KEYWORDS: autonomous work; learning; Curriculum; physical education.
ATRIBUTOS DETERMINANTES EN EL DISEÑO DE UN PROGRAMA DE CUARTO NIVEL: APLICACIÓN DEL ANÁLISIS DE CONJUNTO
Authors: García Vidal Gelmar , Pérez Campdesuñer Reyner , Sánchez Rodríguez Alexander , Martínez Vivar Rodobaldo
Published: April 2019

En este trabajo se aborda la definición de atributos y el establecimiento de su importancia en el criterio de decisión de compra de los clientes, constituyen uno de los pasos fundamentales para el diseño de cualquier producto. Lo anterior constituye una problemática a la que se enfrenta un grupo amplio de profesionales de diversas áreas de conocimiento en Santo Domingo de los Tsáchilas. En  este  artículo  se  muestra  la utilidad y forma del análisis de conjunto como herramienta estadística para definir los atributos y la importancia  que  los  clientes  les  conceden  en  el  momento  de  tomar  una decisión. El resultado de la aplicación consistió en definir los atributos considerados por los clientes potenciales en la selección de un programa de formación de cuarto nivel en correspondencia con los cuales se realizará su diseño.

PALABRAS CLAVE: Análisis de conjunto; Atributos; Diseño de producto.

ABSTRACT

This work is related with the definition of attributes and the establishment of its importance criteria in the customer decisions are one of the key steps in the design of any product. This is a problem faces by a large group of professionals from various fields of knowledge in Santo Domingo. In this paper shows the utility of Cluster Analysis as statistical tool to define the attributes and the importance that customers give them the time to make a decision. In this case, the application used to define the attributes considered in designing a training program for fourth level.

KEYWORDS: Cluster Analysis; Attribute; Product design.
LA ORIENTACIÓN EDUCATIVA EN LA PROVINCIA DE MENDOZA, REPÚBLICA ARGENTINA. MODELOS HISTÓRICOS Y PERSPECTIVAS ACTUALES
Authors: Inés González Gabriela , Sol Couto María , Navarta Viviana
Published: April 2019

La Orientación Educativa se fue configurando en la provincia de Mendoza, Argentina a partir de diversos modelos en función de los distintos niveles y jurisdicciones. Así podemos decir que las universidades y sus facultades se fueron consolidando desde una mirada respondiente a problemáticas puntuales y contextuales, mientras que la escuela media, tanto de dependencia estatal como privada, fue adquiriendo diversos modelos según políticas vigentes, recursos económicos o profesionales a cargo. Nuestra intención en  esta investigación  ha sido, recoger  la historia  de los  modelos  de  la orientación educativa desde fuentes documentales y entrevistas a quienes fundaron los distintos Servicios de Orientación. Resulta un trabajo interesante por cuanto permite contrastar las perspectivas que se trabajan en la actualidad, ayudando a definir roles, funciones, condiciones laborales y estrategias de trabajo con fundamento teórico. Se espera definir un modelo propio de orientación, que no pretende ser replicado en todo ámbito, sino proponer formas de abordar el trabajo de la orientación para garantizar el derecho a la educación, atendiendo a las trayectorias académicas de todos los estudiantes.

PALABRAS CLAVE: Orientación Pedagógica; Servicio de Orientación; Sistema Tutorial.

ABSTRACT 

Educational guidance emerged in Mendoza, Argentina following the diverse models in the different levels and jurisdictions. In this way, we can say that university and their schools have become established trying to solve the specific predicaments in their different contexts. On the other hand, private  and public middle school acquired different models according to official policies, economical resources available or people in charge. Our intention for this research paper has been to trace the history of the educational  orientation  models  taking  into  account  documentary  sources  and interviews to the founders of the various Orientation Services. It is an interesting work since it allows us to contrast the diverse perspectives currently adopted. This helps us define roles, functions, working conditions and working strategies with theoretical grounds. The aim is to define a singular orientation model which is not intended to be copied in every area, but to suggest different ways to approach the work in orientation. In this way, the right to education would be guaranteed attending to every student academic career.

KEYWORDS: Educational Guidance; Guidance Service; Tutorial System.