Miracle-dz/UniFAR-FTUs huggingface dataset:
Competencia emocional en docentes de Infantil y Primaria y estudiantes universitarios de los Grados de Educación Infantil y Primaria

El estudio, descriptivo-correlacional, evalúa la competencia emocional de docentes de Infantil y Primaria y de estudiantes universitarios de los Grados de Educación Infantil y Primaria. Se contó con una submuestra de 92 docentes y otra de 290 estudiantes. La competencia emocional se defi nió operacionalmente a partir de dos indicadores: meta- estados de ánimo y empatía cognitiva-afectiva. Los resultados revelan que el nivel de desarrollo en la mayoría de los componentes de la competencia emocional estudiados son superiores en quienes tienen mayor experiencia (docentes vs. estudiantes) y poseen algún grado de formación emocional, lo que indirectamente avala la modifi cabilidad de la competencia emocional.
Finite‐difference time‐domain modeling of a corrugated horn antenna as a radar system feed

The design of a reflector‐antenna feed for monopulse tracking‐radar application is presented. The feed consists of a rectangular‐circular mode coupler to isolate the sum and difference channels required for monopulse tracking, and a corrugated horn for a symmetric radiation pattern with low cross polarization. The modeling is carried out using the finite‐difference time‐domain (FDTD) method, which is well suited for field visualization. The measurements show that the feed performance meets the design requirements and is in close agreement with the FDTD prediction. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 47: 384–387, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21176
Effect of Probiotic Supplementation on Sprague Dawley Rat Liver Histopathology Fed by High Fat High Fructose Diet

Background: Non-alcoholic fatty liver disease (NAFLD) is an important cause of liver disease burden worldwide. The gastrointestinal microbiota has a close relationship with the liver as the liver is most exposed to intestinal bacteria. Microbial manipulation is a potential and effective therapy as an alternative in the management of NAFLD/NASH. It has been found that probiotics prevent NAFLD/NASH. However, the study about the protective effect of probiotics on NAFLD/NASH is still limited. Objective: The objective of this study is to evaluate the effect of probiotics on liver histopathology Sprague Dawley rats which given high-fat high fructose (HFHFr) dietMethods: This study is a murine-model post-test-only control study group design. The samples were 21 Sprague Dawley male rats in 7 – 8 weeks of age and were divided into three groups. The Control Group (C) was provided with a standard chow diet for eight weeks. The Non-Probiotic (NP) group was given a High-Fat High Fructose (HFHFr) diet for eight weeks. The Probiotic group (P) was given a HFHFr diet for eight weeks, and a combination of HFHFr and probiotic supplementation consisted of Lactobacillus acidophilus, Bifidobacterium longum, and Streptococcus thermophilus for the next eight weeks. Histopathological samples were obtained from liver biopsy to assess steatosis, NAFLD activity score (NAS), and fibrosis stages. Wilcoxon test was done to analyze body weight before and after treatment. We analyzed the difference in histopathological results using the Mann-Whitney test.Results: We found a significant difference in NAFL and NAS Score between NP and P group. The P group was shown to have lower trends for NAFLD and NASH than the NP group, but not for fibrosis. There is no significant difference between pre and post-test body weight. Conclusion: Probiotics supplementation has a protective effect on liver histopathology against disturbances caused by the HFHFr diet.
Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis

Background Recent development in neuroimaging and genetic testing technologies have made it possible to measure pathological features associated with Alzheimer's disease (AD) in vivo. Mining potential molecular markers of AD from high-dimensional, multi-modal neuroimaging and omics data will provide a new basis for early diagnosis and intervention in AD. In order to discover the real pathogenic mutation and even understand the pathogenic mechanism of AD, lots of machine learning methods have been designed and successfully applied to the analysis and processing of large-scale AD biomedical data. Objective To introduce and summarize the applications and challenges of machine learning methods in Alzheimer's disease multi-source data analysis. Methods The literature selected in the review is obtained from Google Scholar, PubMed, and Web of Science. The keywords of literature retrieval include Alzheimer's disease, bioinformatics, image genetics, genome-wide association research, molecular interaction network, multi-omics data integration, and so on. Conclusion This study comprehensively introduces machine learning-based processing techniques for AD neuroimaging data and then shows the progress of computational analysis methods in omics data, such as the genome, proteome, and so on. Subsequently, machine learning methods for AD imaging analysis are also summarized. Finally, we elaborate on the current emerging technology of multi-modal neuroimaging, multi-omics data joint analysis, and present some outstanding issues and future research directions.
Visual saliency of urban objects at night: Impact of the density of background light patterns

Abstract As with other types of visual design, lighting design considers the relationship between objects and their context. With outdoor lighting design it is relevant to consider how background lighting might influence the perception of urban objects, and thus influence lighting design decisions. Previous studies have shown that salience is strongly influenced by visual context: the same target may or may not be salient, depending on how it is embedded in a scene. Experimental work was carried out to determine the impact of background density of lighting patterns on the visual saliency of the target and also interaction between the density of light patterns and luminance contrast in object saliency. The result shows that the visual saliency of illuminated urban objects is significantly reduced by increasing the density of background light pattern.
AC electrokinetic focussing in microchannels: micro- and nanoparticles

Dynamic focussing of particles can be used to centre particles within a flow- through channel. This ensures that all particles pass through the same detection volume. In this paper we describe a method for focussing nano-particles within a microfluidic channel using AC electrokinetics. The method differs from other proposed focussing methods in that it manipulates the particle and not the fluid. Simulations of particle focussing for 50nm and 1 µm particles in a cylindrical flow channel are presented.
Production of BRS Ponta Negra Sorghum Irrigated with Different Depths of Brackish Water Combined with Organic Fertilization

ABSTRACT The objective was to determine growth, biomass production, water use efficiency, and the chemical characteristics of sorghum (BRS Ponta Negra), irrigated with different depths of brackish water and fertilized with levels of organic matter, in two cultivation cycles. The experiment was a 4 × 4 factorial randomized block design, consisting of four levels of irrigation with brackish water (25, 50, 75, and 100% evapotranspiration), 4 levels of organic matter (0, 15, 30, and 45 t/ha), with three repetitions. The brackish water levels promoted an isolated effect for stem diameter, number and percentage of leaves and number and percentage of dead leaves (P < .05) in the first cut. For the second cut, there was effect of brackish water on the number of leaves, number of dead leaves, percentage of dead material, water use efficiency, dry matter content, and hemicellulose content (P < .05). Regarding the applied organic matter levels, there was an isolated effect of treatments on plant height, stem diameter and fresh matter production (P < .05) in the first cut of sorghum. The application of organic matter influences the growth and production variables. The greater amount of brackish water can negatively affect growth variables, water use efficiency, and chemical composition of sorghum plants.
Reduction of interior noise in an automobile passenger compartment by means of active structural acoustic control (ASAC)

This research work deals with the reduction of windshield-vibration-induced interior noise in an automobile passenger compartment by means of active structural acoustic control (ASAC). The investigations are based on former work conducted within the framework of the EU-IP InMAR and make use of an existing test-car equipped with an active windshield. The active windshield consists of the passive structure augmented with optimally placed piezo-ceramic transducers. Main focus of the subsequent work was the development and evaluation of different control strategies (H2, FxLMS) designed with regard to either local or global performance metrics. Due to the lack of a roller test bench, the structural excitation was realized by an electrodynamic exciter (shaker) lo-cated at the roof brace between the A-pillars. By this choice it was possible to emulate the struc-tural excitation of the windshield due to rolling and motor force harmonics. In order to achieve a fully structurally integrated sensing and actuation of the windshield vibration the exclusive use of optimally placed piezoelectric transducers was intended. Though, in the experiments, sensing was performed by means of acceleration sensors facilitating a calibration of structural sensor- and Scanning Laser Doppler Vibrometer (SLDV) data.
Tapered Corrugated Waveguide Low-pass Filters

Several new synthesis techniques are described for the design of tapered corrugated waveguide low-pass filters. Previous techniques are based on image-parameter methods which are both nonoptimum and difficult to apply to new specifications. The new synthesis methods give filters which can be constructed to work directly from dimensions generated by a computer. The impedance tapering implies that the terminating impedance transformers used in the image-parameter designs may be either eliminated or reduced in length.
Chatbot as a Telehealth Intervention Strategy in the COVID-19 Pandemic: Lessons Learned from an Action Research Approach

The COVID-19 pandemic and the need for social distancing have created a demand for new and innovative solutions in healthcare systems worldwide. One of the strategies that have been implemented are chatbots, which can be helpful in providing reliable health information and preventing people from seeking assistance in healthcare centers and being unnecessarily exposed to the virus. In this context, although a high number of chatbots have been implemented worldwide, little has been discussed about the process and challenges in developing and implementing this technology. This paper reports on an action research, which designed a novel chatbot as a prompt response to the COVID-19 pandemic. The chatbot is intended to be a first layer of interaction with the public, performing triage of patients and providing information about COVID-19 on a large scale and without human contact. Our contribution is twofold: (i) we reflected on the development process and discuss lessons learned and recommendations to support a multidisciplinary development and evolution process of the chatbot; and (ii) we identified some interactive and technological features that can be used as a reference framework for this kind of technology. These contributions can be useful to other researchers and multidisciplinary teams facing similar challenges.
Factors Affecting Intention to Use Food Order-Delivery Feature of Ride-Hailing Applications: The UTAUT Approach

Since ride-hailing platforms in Indonesia provide food order-delivery feature, there has been a change in public spending behavior from conventional to electronic, even on the most basic element, i.e., food. The purpose of this study is to identify critical factors affecting consumers’ adoption of ride-hailing applications to buy food using the Unified Theory of Acceptance and Use of Technology (UTAUT) approach. This study uses a cross-sectional design with a non-probability sampling method. Data was collected from self-administered questionnaire, resulting a total sample of 315 respondents across Indonesia. The respondents are GrabFood and GoFood consumers and the food order-delivery feature of Grab and Gojek (the ride-hailing applications). The study employs PLS-SEM technique to analyze the relationships among variables. The findings show performance expectancy, social influence, and facilitating conditions positively influence behavioral intention to use food order-delivery features in ride-hailing applications. On the other hand, effort expectancy does not influence behavioral intention. The results corroborate the role of food-order feature of ride-hailing applications in the change of Indonesian consumer behavior. Referring to the study results, theoretical contributions and practical implications are provided.
An Advanced Computational Approach to System of Systems Analysis & Architecting Using Agent-Based Behavioral Model

Abstract : A major challenge to the successful planning and evolution of an acknowledged System of Systems (SoS) is the current lack of understanding of the impact that the presence or absence of a set of constituent systems has on the overall SoS capability. Since the candidate elements of an SoS are fully functioning, stand-alone Systems in their own right, they have goals and objectives of their own to satisfy, some of which may compete with those of the overarching SoS. These system-level concerns drive decisions to participate (or not) in the SoS. Individual systems typically must be requested to join the SoS construct, and persuaded to interface and cooperate with other Systems to create the new capability of the proposed SoS. Current SoS evolution strategies lack a means for modeling the impact of decisions concerning participation. The goal of this research is to model the evolution of the architecture of an acknowledged SoS that accounts for the ability and willingness of constituent systems to support the SoS capability development. Since DoD Systems of Systems (SoS) development efforts do not typically follow the normal program acquisition process described in DoDI 5000.02, the Wave Model proposed by Dahmann and Rebovich is used as the basis for this research on SoS capability evolution. The Wave Process Model provides a framework for an agent-based modeling methodology, which is used to abstract the non-utopian behavioral aspects of the constituent systems and their interactions with the SoS. In particular, the research focuses on the impact of individual system behavior on the SoS capability and architecture evolution processes. A proof of concept agent-based model (ABM) of the system interactions is developed and integrated with a genetic algorithm (GA) to explore the potential architectural design space, using a fuzzy associative memory (FAM) to evaluate candidate architectures for simulating SoS creation and evolution.
Absolute testing of flats in sub-stitching interferometer by rotation-shift method

Most of the commercial available sub-aperture stitching interferometers measure the surface with a standard lens that produces a reference wavefront, and the precision of the interferometer is generally limited by the standard lens. The test accuracy can be achieved by removing the error of reference surface by the absolute testing method. When the testing accuracy (repeatability and reproducibility) is close to 1nm, in addition to the reference surface, other factors will also affect the measuring accuracy such as environment, zoom magnification, stitching precision, tooling and fixture, the characteristics of optical materials and so on. We establish a stitching system in the thousand level cleanroom. The stitching system is including the Zygo interferometer, the motion system with Bilz active isolation system at level VC-F. We review the traditional absolute flat testing methods and emphasize the method of rotation-shift functions. According to the rotation-shift method we get the profile of the reference lens and the testing lens. The problem of the rotation-shift method is the tilt error. In the motion system, we control the tilt error no more than 4 second to reduce the error. In order to obtain higher testing accuracy, we analyze the influence surface shape measurement accuracy by recording the environment error with the fluke testing equipment.
Impact of preoperative antibiotic use in preventing complications of cochlear implantation surgery

Objective To examine the impact of preoperative antibiotic prophylaxis on the occurrence of postoperative complications. Materials and Methods Data of 491 patients undergoing cochlear implantation were included in a non–randomized retrospective comparative cohort study. Demographic data, cochlear implant and surgical details, use of preoperative antibiotics and occurrence of postoperative complications were analyzed using a binary logistic regression model. Results There were 317 patients (64.56%) who did not receive preoperative antibiotic prophylaxis and 174 (35.44%) patients who received preoperative antibiotic prophylaxis with ceftriaxone. The overall rate of complications requiring surgical treatment was 2.85%. Younger patient age was identified as a positive predictive factor for administering preoperative antibiotic prophylaxis (p<0.001, OR 1.05 CI 95% 1.0124–1.0826). No difference in complication rate was observed between the two groups. No correlation between sex, age, manufacturer, surgeon and postoperative complications were noted (p=0.45). Conclusion There is insufficient evidence to inform decision making regarding preoperative intravenous ceftriaxone use for prevention of infection after cochlear implantation surgery, with data failing to show that administration of preoperative antibiotics leads to a decrease in complication rate. Considering a very low overall complication rate, with few complications related to infection, routine use of preoperative antibiotic prophylaxis should be analyzed further.
Static and dynamic behavior of paralleled IGBTs

Problems associated with power device characteristics when power devices are connected in parallel, such as thermal stability and balanced switching behavior, can be solved by using insulated gate bipolar transistors (IGBTs). The author deals with parallel IGBT behaviors analyzing both static and dynamic characteristics. The influence of heatsink mounting, layout, and drive circuit are described in order to demonstrate the best way to make IGBTs parallel for optimum performance. In addition, the major advantages of the ISOTOP package are shown. >
Effect of Distance between Two Optical Single Mode Fibers on Minimum Splice Losses by Using Arc Fusion Splicer

Old Researches were worked to find the splice losses between two single mode fibers (SMF-28/SMF-28) by using different arc fusion splicer without taking the effect of distance between them. We have conducted numerous experiments on this fiber where the fiber is cut and weld many times in order to find the fusion splice loss when the arc fusion power is fixed at (20 step) for different fusion times ( 1s , 3s , 6s , 9s ), the fusion time and fusion power were used with changing of the distance to (10um,20um,30um). another splice losses were achieved by using another arc fusion power ( 30 step,40 step,50 step ) by using the same arc fusion time and the distance between fibers as shown in fig's below , the minimum splice losses have been extracted from the different figures as below , these minimum splice losses compared with different arc fusion power and distance by using three-dimensional program ,Obviously when the distance between two fibers is increased(25-30)um, the minimum splice loss is decreased and vice versa when the distance is (10)um.
Feedforward compensation by specified step settling considering frequency shaping of control input

This paper presents a novel feedforward compensation for the fast and precise positioning control in mechatronic systems. The proposed compensator is designed considering the frequency shaping in control input to suppress the residual vibration, under the constraint of a specified number of steps in position reference. A two‐degree‐of‐freedom positioning controller with the proposed feedforward compensation can ensure the required settling performance with the specified number of steps regardless of the positioning amplitude in reference. The effectiveness of the proposed approach has been verified by numerical simulations and experiments using a prototype of galvano scanner. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 175(2): 54–62, 2011; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.21084
Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT)

Non-invasive small-animal imaging technologies, such as optical imaging, magnetic resonance imaging and ${x}$ -ray computed tomography, have enabled researchers to study normal biological phenomena or disease progression in their native conditions. However, existing small-animal imaging technologies often lack either the penetration capability for interrogating deep tissues (e.g., optical microscopy), or the functional and molecular sensitivity for tracking specific activities (e.g., magnetic resonance imaging). To achieve functional and molecular imaging in deep tissues, we have developed an integrated photoacoustic, ultrasound and acoustic angiographic tomography (PAUSAT) system by seamlessly combining light and ultrasound. PAUSAT can perform three imaging modes simultaneously with complementary contrast: high-frequency B-mode ultrasound imaging of tissue morphology, microbubble-enabled acoustic angiography of tissue vasculature, and multi-spectral photoacoustic imaging of molecular probes. PAUSAT can provide three-dimensional (3D) multi-contrast images that are co-registered, with high spatial resolutions at large depths. Using PAUSAT, we performed proof-of-concept in vivo experiments on various small animal models: monitoring longitudinal development of placenta and embryo during mouse pregnancy, tracking biodistribution and metabolism of near-infrared organic dye on the whole-body scale, and detecting breast tumor expressing genetically-encoded photoswitchable phytochromes. These results have collectively demonstrated that PAUSAT has broad applicability in biomedical research, providing comprehensive structural, functional, and molecular imaging of small animal models.