Miracle-dz/UniFAR-FTUs huggingface dataset:
Estudio trasversal de empatía con el paciente en estudiantes de kinesiología

Introduccion: La empatia es un importante atributo que deben tener todos los profesionales de la salud y los aspectos asociados a su ensenanza constituyen un problema aun no resuelto en estudiantes de ciencias de la salud en general. Objetivo: Evaluar el comportamiento empatico y el de sus componentes o dimensiones en los estudiantes de kinesiologia de la Universidad Bernardo OHiggins de Santiago de Chile. Metodos: Estudio exploratorio, no experimental y transversal. Los datos fueron obtenidos mediante la aplicacion de la escala de empatia medica de Jefferson, adaptada para estudiantes de kinesiologia mediante criterio de jueces, y que fueron sometidos a estimaciones de confiabilidad, mediante α de Cronbach y correlacion intraclase, y procesados a traves de analisis de varianza bifactorial (modelo III) con el objeto de evaluar las variables de interes y su posible interaccion. Ademas, se estimo el tamano del efecto, la potencia de la prueba, y se calcularon la media y la desviacion estandar para cada variable analizada. El nivel de significacion fue α ≤ 0,05 y β ≥ 0,80. Resultados: Se encontro que los niveles de empatia fueron relativamente bajos y esta se mantuvo constante, con una declinacion en el quinto ano. Conclusiones: El modelo de declinacion empatica no se cumplio y se encontraron diferencias entre los generos. Las caracteristicas senaladas constituyen el diagnostico de la situacion empatica. Tales especificidades deben ser consideradas en cualquier estrategia destinada a elevar los niveles de empatia y constituye una guia para planificar una intervencion.
An Open-source Framework for Robust Portable Cellular Network

There are several situations wherein a radio network’s availability is critical. The situations could arise based on natural disasters or other man-made catastrophes, and they may involve destruction to the radio service infrastructure too. In recent years, the efforts to address this challenge have gained momentum. In this paper, we present an Open-source framework and a roadmap for a robust and portable cellular network – created by an embedded system which can itself be moving. We report on the successful completion of the first milestone in this journey – establishing a Base Transceiver System based on reconfigurable Software Defined Radio, supporting voice calls and text messaging.
Effects of incorporation of sugarcane fibre on the physicochemical and sensory properties of chicken sausage

Improving functional and eating qualities of processed meat products through incorporation of plant fibre is of interest to both consumers and food industry. This project investigated the physicochemical and sensory properties of chicken sausages with incorporation of up to 3% sugarcane fibre, a by‐product of sugarcane processing. Compared with no sugarcane fibre sample, the cooking yield of chicken sausage with 3% of fibre and 10% of water addition was increased from 94.20% to 97.52%, total phenolic content from 25.43 to 57.09 mg GAE/100 g and radical scavenging activity from 28.11% to 60.72%, whereas lipid oxidation of Thiobarbituric acid reactive substances value was decreased from 0.535 to 0.428 malondialdehyde mg kg⁻¹. Moreover, consumer overall liking of chicken sausages was not affected by the incorporation of sugarcane fibre. This research suggested that incorporation of sugarcane fibre could improve eating quality and health benefits of the chicken sausage product, and add value to both the food and sugarcane industry.
Solid lipid nanoparticles (SLN) : an alternative colloidal carrier system for controlled drug delivery

Solid lipid nanoparticles of a quality acceptable for i.v. administration were produced by high pressure homogenization. Dispersion at increased temperature (melted lipids) was performed to yield SLN loaded with lipophilic drugs (e.g. tetracaine base), incorporation of the hydrophilic drug iotrolan was achieved by homogenization of the drug-loaded lipid in its solid state. Recrystallization of the SLN after production was investigated using differential scanning calorimetry. Drug loading capacities of up to 9.8% of the lipid matrix were obtained, prolonged in vitro drug release was achieved over 5 weeks (prednisolone). SLN of optimized composition proved to be physically stable during sterilization (autoclaving) and on long-term as aqueous dispersion. Alternatively dry products were produced by lyophilization or spray-drying. SLN were surface-modified for drug targeting purposes using poloxamer 407 and poloxamine 908 polymers as surfactants in the production process. Production parameters were optimized to obtain nanoparticle sizes required for the envisaged targets, e.g. <150 nm for endothelial cells
Study on Functional Components of Functional Food Based on Food Vitamins

The research and development of functional food ingredients of food vitamins are gradually moving towards serialization, nutrition, functionalization and standardization, and more and more high-tech applications in this area. In addition to rich basic nutrients (i.e. proteins, fats, sugars, vitamins and minerals), food also contains a wide range of bioactive substances, such as polyphenol compounds, organic sulfur compounds, phytoestrogen terpenoids, etc. At present, the research on functional ingredients of these food sources has become a hot research field in the international academic circle. This paper discusses the meaning of functional foods and their functional ingredients, and expounds the synthesis and extraction of vitamin E. At the same time, the function of compound food fiber in functional food was introduced.
Anthropometric Parameter Measurement from Equivariant Multi-view Images

In this paper, we propose an anthropometric parameter measurement method that any customized parameter can be measured online by the pre-selected endpoints on the reconstructed 3D body models of equivariant multi-view images. The method includes 3D body model reconstruction, anthropometric parameter measurement, and parameter modification. In 3D body model reconstruction, we detect and segment the human body from its background and reconstruct a generative 3D body model from the segmented image with deep learning. And then we measure anthropometric parameter on the reconstructed 3D body model of each view. Before parameter measurement, we manually pre-select endpoints associated with all anthropometric parameters on the reconstructed 3D body model since all vertices of the reconstructed body model are ordered. However, the information of a single-view image is insufficient and the measurement result is varied regularly by the view changes. To improve the measurement accuracy, we design a convolutional neural network in the last step which can regress more accurate anthropometric parameters from equivariant multi-view measurements. Experimental results on the representative dataset demonstrate that the proposed method can measure planar and spatial anthropometric parameters automatically with comparable performance.
Path Analytic Investigation of the Intention to adopt E-Government Services through Mobile Applications in Qatar (TAM revisited)

The aim of this research is to examine the factors that affect user’s intention to use e-government services through mobile applications in Qatar. Based on valid responses from 1,340 adults out of a representative sample size of 7200 (response rate=18.6%) in Qatar aged 18 to 77 years old, this study uses factor analysis and structural equation model to identify the variables that influence users’ intention to adopt mobile applications in Qatar. Findings of this study indicate that factors affecting the intention to adopt e-government services through mobile applications are: awareness, perceived trust, perceived ease of use and perceived usefulness of mobile applications. The present study supports the hypothesis through the findings that perceived usefulness and perceived ease of use leads to mobile application of e-government adoption. The present study adds a relevant and a novel contribution to the field of technology acceptance by encompassing the TAM theory to smartphone applications. The paper concludes with recommendations for institutional policy and future research. This article has been published in June 2020 at the Scopus Indexed International Journal of Advanced Research in Engineering and Technology (IJARET).
Research on Electric Vehicle Cooling System Based on Active and Passive Liquid Cooling

Compared with internal combustion engine automobile, the battery capacity and motor conversion efficiency for electric vehicles (EV) are limited, which means it requires lower energy consumption. To this aim, EV needs more complex thermal management system and higher thermal management requirements. This paper proposes an active and passive liquid cooling-based system cooling scheme. Coolant circulation’s components model and refrigerant circulation’s components model are built. The performance parameters for the components are obtained by fitting the experimental data. To demonstrate the performance of the proposed method, simulation experiments are conducted. The results show that it is feasible and robust to cool and heat the battery using passive cooling circuits in low and medium temperature environments. During critical conditions where the ambient temperature changes from 28 ° C to 32 ° C, the active and passive liquid cooling-based scheme can not only guarantee the battery operating temperature, but also save energy.
Adsorption of phosphate by halloysite (7 Å) nanotubes (HNTs)

Abstract The adsorption and retention of phosphates in soil systems is of wide environmental importance, and understanding the surface chemistry of halloysite (a common soil clay mineral) is also of prime importance in many emerging technological applications of halloysite nanotubes (HNTs). The adsorption of phosphate anions on tubular halloysite (7 Å) has been studied to gain a greater understanding of the mechanism and kinetics of adsorption on the surface of HNTs. Two well-characterized tubular halloysites with differing morphologies have been studied: one polygonal prismatic and one cylindrical, where the cylindrical form has a greater surface area and shorter tube length. Greater phosphate adsorption of up to 42 μmol g–1 is observed on the cylindrical halloysite when compared to the polygonal prismatic sample, where adsorption reached a maximum of just 15 μmol g–1 compared to a value for platy kaolinite (KGa-2) of 8 μmol g–1. Phosphate adsorption shows strong pH dependence, and the differences in phosphate sorption between the prismatic and cylindrical morphologies suggest that phosphate absorption does not occur at the same pH-dependent alumina edge sites and that the lumen may have a greater influence on uptake for the cylindrical form.
Salinity Stress Effect on the Germination of Three Cereals: Maize (Zea mays), Millet (Pennisetum glaucum) and Rice (Oriza sativa)

In Africa, cereals are major staple foods for the majority of the population. The cereal crop is not immune to the problem of salinity, which could threaten 10% of its world harvest. This work was undertaken to study the comparative effect of salinity on germination of three cereals, maize (Zea mays), millet (Pennisetum glaucum) and rice (Oriza sativa). The seeds were germinated in Petri dishes containing a range of NaCl solution (0 g/l, 5 g/l, 10 g/l, 15 g/l and 25 g/l) in the dark and at room temperature. The harmful effect of salt varies depending on the concentration of NaCl and the type of cereal. It is low on the germination rate of seeds up to a concentration of 10 g/l NaCl. From this dose onwards, this rate is reduced by 44% for millet, 20% for rice and 10% for maize. The average germination time between 0 g/l and 10 g/l NaCl is low and increases strongly between 10 Review Article Sanogo et al.; IJPSS, 32(4): 69-78, 2020; Article no.IJPSS. 55629 70 g/l and 15 g/l and reaches 37 days (millet) and 20 days (rice). Corn root growth is less affected by salinity (1.2 cm) at 15 g/l NaCl compared to more sensitive rice and millet (0 cm). The height of the epicotyl between 0 g/l and 25 g/l NaCl increased from 11.8 to 3.6 cm (corn), from 0.5 to 0 cm (rice) and from 4.3 to 0.3 cm (millet). The combination of the parameters studied shows that all three cereals are able to tolerate NaCl concentrations of 10 g/l. Rice is the most sensitive to salinity while maize is more tolerant than millet.
A Quasi Z -Source Matrix Microinverter for Grid Connected PV Applications

Over the past few years, Microinverters have gained interest in the area of PV power conversion, this since the direct connection of modules to the grid can increase overall harvested energy in comparison with other power conditioning approaches. Moreover, microinverters which are essentially modular, allow the system to grow over time and result in a more reliable solar plant. In the implementation of a microinverter system important features are its overall voltage gain, to allow interfacing the low voltage PV module to the grid and its power conversion efficiency. The traditional approach to achieve these two aspects is to use a two-stage system where a fly-back converter is cascaded with a single-phase inverter, which has drawbacks such as a discontinuous input current with high second harmonic ripple, high EM noise, high semiconductor stress, and reduced efficiency. In this paper, a single-stage quasi-Z source push-pull matrix microinverter system is presented to deal with some of these drawbacks. Resulting in a high-performance microinverter topology which produces the required voltage gain, while having continuous input current and a high-quality output.
Explaining Static Analysis With Rule Graphs

As static data-flow analysis becomes able to report increasingly complex bugs, using an evergrowing set of complex internal rules encoded into flow functions, the analysis tools themselves grow more and more complex. In result, for users to be able to effectively use those tools on specific codebases, they require special configurations—a task which in industry is typically performed by individual developers or dedicated teams. To efficiently use and configure static analysis tools, developers need to build a certain understanding of the analysis’ rules, i.e., how the underlying analyses interpret the analyzed code and their reasoning for reporting certain warnings. In this article, we explore how to assist developers in understanding the analysis’ warnings, and finding weaknesses in the analysis’ rules. To this end, we introduce the concept of rule graphs that expose to the developer selected information about the internal rules of data-flow analyses. We have implemented rule graphs on top of a taint analysis, and show how the graphs can support the abovementioned tasks. Our user study and empirical evaluation show that using rule graphs helps developers understand analysis warnings more accurately than using simple warning traces, and that rule graphs can help developers identify causes for false positives in analysis rules.
RELAÇÃO DO USO DO SOLO COM A DIVERSIDADE E A ATIVIDADE DA FAUNA EDÁFICA

Objetivou-se avaliar o efeito de diferentes usos do solo na abundância, riqueza, diversidade e atividade de organismos da fauna edafica. A fauna do solo foi amostrada em: florestamento de Eucalyptus spp. , florestamento de Pinus spp. , lavoura de graos, solo impactado pela construcao civil e pastagem natural. Para a avaliacao dos organismos da fauna epiedafica empregou-se o metodo da armadilha de queda e para a amostragem dos organismos da fauna hemiedafica utilizou-se o metodo TSBF. A atividade biologica do solo foi avaliada pelo metodo de lâminas bait. Foram coletados 5.413 organismos epiedaficos e 813 organismos hemiedaficos, distribuidos em 18 grupos taxonomicos. Os florestamentos de Pinus e Eucalyptus abrigaram as maiores abundâncias de organismos epiedaficos, com dominância de Collembola, o que resultou em menor indice de diversidade. O solo afetado pela construcao civil apresentou as menores abundância e riqueza de organismos epiedaficos. A abundância, riqueza e diversidade de organismos hemiedaficos foram maiores na pastagem natural e menores no florestamento de Pinus e no solo impactado pela construcao civil. A atividade biologica do solo foi maior no florestamento de Eucalyptus e menor no solo impactado pela construcao civil. A abundância, riqueza e diversidade da fauna edafica e afetada pelo uso do solo.Palavras-chave: atividade biologica do solo; bioindicadores; degradacao do solo; invertebrados do solo; qualidade do solo; RELATION OF SOIL USE WITH DIVERSITY AND ACTIVITY OF EDAPHIC FAUNA ABSTRACT:This study evaluated the effect of different land uses on the abundance, richness, diversity and activity of edaphic fauna. The soil fauna was sampled in: Eucalyptus spp. afforestation, Pinus spp. afforestation, grain cropping, soil impacted by construction and natural grassland. The epiedaphic fauna was sampled by pitfalls and the hemiedaphic fauna by TSBF method. The soil biological activity was evaluated by the lamina-bait test. 5,413 epiedaphic organisms and 813 hemiedaphic organisms were collected, classified in 18 taxonomic groups. The afforestation of Pinus and Eucalyptus had the greatest abundance of epiedaphic organisms, with dominance of springtails, which resulted in a lower index of diversity. The soil affected by the construction had the lowest abundances and the richness of epiedaphic organisms. The abundance, richness and diversity of hemiedaphic organisms were higher in natural grassland; and smaller in Pinus afforestation and soil impacted by construction. Soil biological activity was higher in the Eucalyptus afforestation and lower in the soil impacted by construction. Soil use affects the abundance, richness and diversity of edaphic fauna.Keywords: soil biological activity; bioindicators; soil degradation; soil invertebrates; soil quality.
Network Layer Security Detection Model of Internet of Things Based on Immune System

The traditional network security detection model use attack samples of known types to train the security detection model offline. Although it has a high detection rate for the known attack types, it cannot identify the new attack types on the network layer. At present, detection system has disadvantages of slow speed of system construction and high cost of model update. Facing increasingly expanding network and endless attacks, the detection system lacks self-adaptability and expansibility. In this paper, the integrated use of immunology theory and complex adaptive system theory and computational experiment technology, based on Internet network layer security detection model of the immune system, existing Internet network layer security, the new type of attack occurred in the process of on-line detection of immune learning, realize the dynamic extension of network security detection model, and through calculating experiment and example analysis verify the scientific nature and feasibility of the model.
Evaluation of the Complexity, Performance and Implementability of Geometrical MIMO Detectors: the Example of the Exploration and Exploitation List Detector

This paper develops a new paradigm for the multi-input multi-output detection problem with bit interleaved coded modulation (MIMO-BICM). This new paradigm is based on a geometric method rather than the traditional interference cancellation or tree search. It describes in greater detail the soft-output detector called list exploration and exploitation (L2E), which builds a list of candidates from a geometrical interpretation of a given objective function. It then computes the log-likelihood ratios (LLRs) using the max-log approximation. A comparative study between L2E and a classical tree-based algorithm is carried out in both computational complexity and detection performance. This study highlights that although the framework is entirely different, the complexity and performance are comparable with the state of the art tree-based paradigm. Finally, the proposed algorithm is implemented on a field-programmable gate array (FPGA) device. Simulations carried out with Xilinx Vivado tools and measurements are provided to analyze the resource utilization, power consumption, and timing metrics. We further estimate these metrics for an application-specific integrated circuit (ASIC) implementation based on multiplicative factors from literature. This projection demonstrates that our implementation yields results of the same magnitude as the well-known detectors.
The Role of Case Marking and Word Order in Cross‐Linguistic Structural Priming in Late L2 Acquisition

Several studies found cross-linguistic structural priming with various language combinations. Here, we investigated the role of two important domains of language variation: case marking and word order. We varied these features in an artificial language (AL) learning paradigm, using three different AL versions in a between-subjects design. Priming was assessed between Dutch (no case marking, SVO word order) and a) a baseline version with SVO word order, b) a case marking version, and c) a version with SOV word order. Similar within- language and cross-linguistic priming was found in all versions for transitive sentences, indicating that cross-linguistic structural priming was not hindered. In contrast, for ditransitive sentences we found similar within-language priming for all versions, but no cross-linguistic priming. The finding that cross-linguistic priming is possible between languages that vary in morphological marking or word order, is compatible with studies showing cross-linguistic priming between natural languages that differ on these dimensions.
Weighted Calibration Algorithm of Multiple Laser Scanning Sensors Based on Measurement Error Correction

The calibration of pose transformation relationship among multiple laser scanning sensors or between one sensor and a reference coordinate system is of great importance to the accuracy of 3D laser scanning system. In some applications, such as section inspection of Metro tunnels, the sparsity of measuring points and high demand for accuracy make the calibration process very difficult. This paper proposes an automatically calibration algorithm, named GA-ICP-WHT, based on an improved ICP algorithm with point-wise measurement error corrections. The algorithm consists of stages: coarse registration with GA and fine registration with ICP and weighted Hong-Tan algorithm. Mathematical simulation and application experiments show that the proposed algorithm is accurate and robust for sparse point cloud registration.
Modelo elástico simple para el estudio de pandeo en muros de hormigón armado

El objetivo de este trabajo es obtener una expresión simple, que permita determinar el espesor mínimo de muros de hormigón armado esbeltos para prevenir pandeo. La expresión se obtuvo a partir de la teoría de placas delgadas, con un análisis lineal elástico, considerando un enfoque energético y el método de Ritz. El modelo propuesto considera sólo la zona comprimida del muro, con una distribución de carga axial, proveniente de demandas de flexo-compresión, consistente con las tensiones de compresión en el hormigón a lo largo de la distancia medida desde la fibra extrema en compresión al eje neutro. Los resultados obtenidos presentan razonable coincidencia cualitativa con lo observado en laboratorios, sin embargo, resultan ser poco conservadores en términos cuantitativos.