Miracle-dz/UniFAR-FTUs huggingface dataset:
Fases de implementación de Blended Learning en las universidades españolas. Estudio basado en análisis de segmentación.

El objetivo principal de este estudio es conocer y describir las fases de adopción de lamodalidad formativa denominada blended learning (BL). Se aplicó una encuesta a 980profesores de universidades públicas de todo el estado español. El análisis de los datosse realizó mediante técnicas de clustering para la agrupación de los sujetos (análisis desegmentación mediante el algoritmo CHAID). Los resultados ofrecen claves paracomprender por qué los docentes universitarios adoptan o no esta modalidad deenseñanza, identificando perfiles o rasgos que caracterizan cada uno de los subgruposagrupados en cada una de las fases de adopción (tomadas como variables criterio), enfunción de una serie de características personales y profesionales (Sexo, Edad;Categoría profesional, Área de conocimiento, Experiencia docente, Actitud hacia BL,Nivel de Autoeficacia), y variables contextuales relacionadas con Formación recibidasobre BL en la universidad. Todas ellas variables predictoras. De manera indirecta, esteconocimiento sobre las fases de adopción puede aportar información sobre el estadio dedifusión institucional de la metodología B-Learning en el conjunto de la universidadespañola.
Research Article: The effects of psychological and physical stressors on the secretion of immunoglobulin A in humans and mice

Abstract Stress generates multiple physiological effects through activation of neuroendocrine signaling. An increase in the hormone cortisol (or the analog corticosterone in some species), causes a significant decrease in circulating B-lymphocytes (the immune cells that produce antibodies), making the antibody immunoglobulin A (IgA) a good stress marker. The objective of these experiments was to examine IgA secretion after psychological and physical stressor treatments were applied. IgA was extracted from the salivary samples of college students who did or did not have a scheduled exam to test impacts of purely psychological stress, and from fecal samples of mice treated with human handling (psychological stress), forced exercise (physical stress), or a combination of the two. An enzyme-linked immunosorbent assay was used to measure IgA level in each sample. In humans, exam-taking was significantly associated with low salivary IgA levels (p < 0.05), suggesting that the psychological stressor negatively impacted the immune response. In mice, the handling group did not exhibit any significant change in fecal IgA level (p > 0.05), which may or may not have been a result of habituation to handling. However, both the physical stress group and combined physical and psychological stress group exhibited significantly reduced fecal IgA levels (p < 0.05) in comparison to the control. This study supports other findings that different stressors have different effects on physiological markers of stress, such as IgA level, and demonstrates those differences in humans and a controlled model of psychological and physical stressors in mice.
Studying loading/release of doxepin on gold nanoparticles by the control of a green light

ABSTRACT A new method is disclosed for the loading and release of doxepin by using gold nanoparticles. It is suggested that loading of doxepin occurs through two Van der Waals interactions between the drug molecules and Au nanoparticles as well as formation of an electronic bridge between them. This interaction increases the mean free-path of the free electrons on gold nanoparticles and makes an external plasmon resonance peak at the UV-Vis spectrum. An emitting green light can control the release process, in which its wavelength is close to the wavelength of surface plasmon resonance of Au NPs. Finally, the performed cellular cytoxicity of Au@doxepin NPs (loaded doxepin onto Au nanoparticles) against PC3 prostate cancer cells showed that this nanoparticle has an acceptable cytotoxicity in the concentration range of 5–40 µg/mL.
A STUDY OF RED-EMITTING PHOSPHOR OF K2SiF6:Mn4+ FOR WARM WHITE LEDs

This study focuses on the fabrication of red-emitting phosphor based on K2SiF6: Mn 4+ phosphor. Characteristic emissive peaks in the red region of the Mn 4+ ions involve the energy transfer from spin-forbidden states of 2 Eg → 4 A2, showing narrow band emission peaks at 609, 614, 631, 635 and 647 nm. Meanwhile, their absorptive peaks involve the energy transfer from spin-allowed states of 4 A2 → 4 Tg; the excited wavelength of the Mn 4+ is in the range 360 460 nm. Thus, the K2SiF6: Mn 4+ phosphor is particularly suitable for redundancy of 460 nm Light Emitting Diode (LED); it complements the red emission of the commercial White LEDs.
Generating and analyzing Terrain characteristics from Shuttle Radar Topographic Mission (SRTM), DEM

Terrain analysis is the quantitative analysis of topographic surfaces. The purpose of a digital terrain system is to provide the digital representation of terrain so that environmental problem like soil erosion may be approached accurately and efficiently through automated means. Traditionally this was (and still is! ) being done manually by using topographic/contour maps. With the availability of Digital Elevation Models (DEM) and GIS tools, watershed properties can be extracted by using automated procedures. Remote Sensing and Digital elevation models (DEMs) are known to be very useful data sources for the automated delineation of flow paths, sub watersheds and flow networks for hydrologic modelling and watershed characterization. The digital terrain model was extracted from a 90m resolution Shuttle Radar Topographic Mission (SRTM) of the study area. The SRTM data was corrected by removing voids, striping, tree offsets and random noise. The SRTM DEM data was projected from geographic coordinate WGS 84 to UTM zone 32 of the study area. The 3-D analysis tool of the ArcGIS 10.1 was used for this process. The DEM was processed to obtain the Slope, Contour, Flow direction, Flow accumulation, Flow length, Stream power Index of the study area. The study proved that SRTM elevation dataset has the ability to obviate the lack of terrain data for hydrologic modelling using ArcGIS where appropriate data for terrain modelling and simulation of hydrological processes is unavailable.
Voice-Print Recognition System Using Python And Machine Learning With IBM Watson

: With the popularity of the various security system, identify the authentication of an exact user has been a key challenge for each system. The voiceprint recognition technology has some merit over another security system with flexible, economical terms. Therefore using voice as a key security tool will be useful for the ecosystem. In this system, we are going to use some machine learning concept SVM (Support Vector Machine). The SVC will be useful to differentiate the dataset and find out the actual required result so that user can get authentication to access the machine (Files, Folder, Documents), to make the system fully workable it is supported by Python on the frontend, with the help of the python SVC implement of it is successful and from the backend part, we are going to use IBM Watson which will provide actual power to the system. Using the IBM server APIs would be extra key to success to make the system more efficiently get the result as solving machine learning process on the client is hectic and hard to perform, that’s why we are using the server of IBM which provides some free tools which are easily accessible and taking advantage of these tools we can easily achieve the required security and result for the system.
PISA 2015 Reading Test Item Parameters Across Language Groups: A measurement Invariance Study with Binary Variables

Large-scale international assessments, including PISA, might be useful for countries to receive feedback on their education systems. Measurement invariance studies are one of the active research areas for these assessments, especially cross-cultural and linguistic comparability have attracted attention. PISA questions are prepared in the English language, and students from many countries answer the translated form. In this respect, the purpose of our study is to investigate whether there is a measurement invariance problem across native English and non-native English speaker groups in the PISA-2015 reading skills subtest. The study sample included students from Canada, the USA, and the UK as the native speaker group and students from Japan, Thailand, and Turkey as the non-native speaker group. Measurement invariance studies taking into account the binary structure of the data set for these two groups revealed that eight of the twenty-eight items in the PISA-2015 reading skills test had possible limitations in equivalence
Measuring blast fragmentation at Nui Phao open-pit mine, Vietnam using the Mask R-CNN deep learning model

Blast fragmentation size distribution is one of the most critical factors in evaluating the blasting results and affecting the downstream mining and processing operations in open-pit mines. Image-based methods are widely applied to address the problem but require heavy user interaction and experience. This study deployed a deep learning model Mask R-CNN to develop an automatic measurement method of blast fragmentation. The model was trained using images captured from real blasting sites in Nui Phao open-pit mine in Vietnam. The trained model reported high average precision scores (Intersection over Union, IoU = 0.5) 92% and 83% for bounding box and segmentation masks, respectively. The results lay a solid technical basis for the automated measurement of blast fragmentation in open-pit mines.
Bacterial diversity impacts as a result of combined sewer overflow in a polluted waterway

Newtown Creek is an industrial waterway and former tidal wetland in New York City. It is one of the most polluted water bodies in the United States and was designated as a superfund site in 2010. For over a century, organic compounds, heavy metals, and other forms of industrial pollution have disrupted the creek’s environment. The creek is also impacted by discharges from twenty combined sewer overflow pipes, which may deposit raw sewage or partially treated wastewater directly into the creek during heavy or sustained rain events. Combined sewer overflow events and associated nutrient over-enrichment at the creek drive eutrophication and subsequent hypoxia. At the current study, three sites were sampled one week apart during a dry period and a wet period, where indication of a combined sewage overflow event could be detected. 16s rRNA high-throughput sequencing from these three sites collectively yielded over 1000 species of bacteria belonging to twenty-two classes. Based on these data, it is hypothesized that differences identified in the microbiome on wet versus dry days are as a result of combined sewage overflow, street runoff, and additional fluctuations in the creek’s environment associated with rain. It was found that after a combined sewer overflows event, the levels of Gamma Proteobacteria increased while the levels of Actinobacteria decreased. However, levels of bacteria stayed relatively unchanged at a site further away from combined sewer overflows discharge. Species found in Newtown Creek include pelagic, marine, human and animal pathogens, hydrocarbonoclastic, and other environmental microbes.
A New L-Shaped Open-Slot Antenna for Diversity Applications of Operated Frequency and Circular Polarization

ABSTRACT This paper presents a novel small differentially-fed open-slot antenna for diversity of the operated frequency and circular polarization. The proposed antenna structure, which consists of an L-shaped open slot and two bent feeding lines, provides two separate effective bandwidths. The proposed antenna achieves the operation bandwidths of a global positioning system (GPS) and satellite digital audio radio (SDAR) service system. To excite the even and odd modes for bandwidth enhancement, a rectangular patch was embedded in the vertical segment of the L-shaped open slot, thereby forming a coplanar-waveguide topology. An additional rectangular patch was placed above the open slot to increase the interport isolation performance between the two feeding ports. After optimization, the measurement results indicated that the final open-slot antenna provided −10-dB reflection coefficient (S11) bands from 1.29 to 1.70 GHz for the GPS operation and from 2.09 to 2.56 GHz for the SDAR application. Measured 3 dB axial-ratio bandwidths of the proposed structure were 410 MHz (28.5%) from 1.23 to 1.64 GHz and 430 MHz (18.4%) from 2.12 to 2.55 GHz for right- and left-hand circular polarization, respectively.
Sabit Kanatlı Hava Araçları için Otopilot Tasarımı ve Benzetimi

autopilot LQR-based autopilots ABSTRACT In this article, autopilot design and simulation for manned and unmanned fixed wing aircraft has been performed. First, two different platform models, which are nonlinear, were linearized under the equilibrium (trim) conditions determined in Matlab/Simulink environment and the linear models obtained were compared with the nonlinear models. PID based autopilot was developed and tested for the two platform models. Test results are provided. The software in loop (SIL) based simulation environment was prepared with the X-Plane program of the autopilot and the simulation results were shown. In addition, a structural change was made in one of the platforms, and both PID and LQR-based autopilot were developed and tested for the new platform that emerged after structural changes. Test results are provided. Finally, the effect of weight change due to structural change on the autopilot on the platform was examined. It has been demonstrated by setting up test and simulation environments that the control methods discussed are applicable for autopilot systems and can be used for new fixed-wing aircraft models. With the developed autopilot systems and the simulation infrastructure installed, it has become possible to reduce the number of flight tests needed on the real platform and the cost.
Effect of Glioma Stem Cells-derived Extracellular Vesicles on Glucose Metabolism Reprogramming in Glioma via the miR-26a/KLF4/PI3K/Akt axis

BackgroundGlioma represents one of the most intractable malignancy occurring in central nervous system. Glioma stem cells (GSCs) constitute a type of seed cells with self-renewal and multi-directional differentiation potentials. This study investigated the mechanism of GSCs-derived extracellular vesicles (EVs) in glucose metabolism reprogramming in glioma.MethodsGlioma cells were treated with different concentrations (10, 20 and 30 μg/mL) of GSCs-EVs. Glucose consumption and lactic acid and adenosine triphosphate (ATP) production were measured and expressions of key enzymes in glycolysis pathway (PFK1, HK2 and PKM2) were detected. The proliferation, invasion and migration of glioma cells were measured. miR-26a expression in GSCs-EVs-treated cells was detected. The targeting relationship between miR-26a and KLF4 was predicted and verified. The phosphorylation levels of PI3K and Akt were detected. Glioma cells were co-incubated with GSCs-EVs and pcDNA-KLF4 to verify the role of PI3K/Akt pathway in glucose metabolism reprogramming.ResultsGlucose consumption and lactic acid and ATP production were promoted, and expressions of PFK1, HK2 and PKM2 were increased in GSCs-EVs-treated cells. GSCs-EVs facilitated proliferation, invasion and migration of glioma cells. miR-26a expression was enhanced in GSCs-EVs-treated cells. GSCs-EVs carried miR-26a into glioma cells and promoted glucose metabolism reprogramming. miR-26a inhibitor reduced the promoting effect of GSCs-EVs on glucose metabolism reprogramming. miR-26a repressed KLF4 expression and activated the PI3K/Akt pathway in glioma cells.ConclusionmiR-26a carried by GSCs-EVs promoted glucose metabolism reprogramming in glioma via targeting KLF4 and activating the PI3K/Akt pathway. This study may offer new insights for targeted intervention of glioma.
Controlling polymer microstructure using multiblock copolymers via reversible addition-fragmentation chain transfer polymerization

Reversible addition fragmentation chain transfer (RAFT) polymerization is a very versatile way to generate synthetic polymeric materials. Multiblock copolymers have received enormous scientific interest recently due to the ability to mimic the sequence-regulated microstructure of biopolymers. The objective of this thesis was to investigate RAFT polymerization and explore its potential in the synthesis of sequence-controlled multiblock polymeric chains, and their use to tune the micro-structure of the polymers, engineer single chain polymeric nanoparticles, and fabricate functional polymeric nanomaterials. This work firstly addresses the investigation of the enormous ability of sequence-controlled multiblock copolymer to tune the physical properties by altering their microstructure. A series of sequence controlled multiblock copolymers were synthesized by RAFT polymerization using ethylene glycol methyl ether acrylate and tert-butyl acrylate as monomers. These block copolymers were synthesized with an alternating order of the two monomers with a similar total degree of polymerization. The number of blocks was varied by decreasing the length of each block while keeping the ratio of monomers constant. Their microphase separation was studied by investigating the glass transition temperature utilizing differential scanning calorimetry analysis. Small angel X-ray scattering analysis was also applied to investigate the transition of the microphase separation with the variation of the segmentations of these multiblock copolymers. The study found the microstructure was significantly affected by the number of segments of the polymer chain whilst keeping the total length constant. Having demonstrated the enormous potential of sequence controlled multiblock copolymers to access defined microstructures, further studies were focused on mimicking the controlled folding process of the peptide chain to a secondary and tertiary structure using sequence controlled multiblock copolymers. RAFT polymerization was used to produce multiblock copolymers, which are decorated with pendant cross-linkable groups in foldable sections, separated by non-functional spacer blocks in between. An external cross linker was then used to cause the folding of the specific domains. A chain extension-folding sequence was applied to create polymer chains having individual folded subdomains. In order to achieve a further step on the way to copy nature’s ability to synthesize highly defined bio-macromolecules with a distinct three dimensional structure, linear diblock copolymer precursors were synthesized by RAFT polymerization. One block of the precursor with pendant functional groups was folded using an external cross-linker to form tadpole-like single chain nanoparticles (SCNPs). These tadpole-like SCNPs could then self-assemble into a more complex stimuli responsive 3D structure by adaptation to environmental pH changes. The stimuli responsive assemblies were found to be able to dissociate responding to low pH or exposure to glucose.
Viscous dissipation and thermal radiation effects on the flow of Maxwell nanofluid over a stretching surface

An analysis is made to examine the viscous dissipation and thermal effects on magneto hydrodynamic mixed convection stagnation point flow of Maxwell nanofluid passing over a stretching surface. The governing partial differential equations are transformed into a system of ordinary differential equations by utilizing similarity transformations. An effective shooting technique of Newton is utilize to solve the obtained ordinary differential equations. Furthermore, we compared our results with the existing results for especial cases. which are in an excellent agreement. The effects of sundry parameters on the velocity, temperature and concentration distributions are examined and presented in the graphical form. These non-dimensional parameters are the velocity ratio parameter $(A)$, Biot number $(Bi$), Lewis number $(Le)$, magnetic parameter $(M)$, heat generation/absorption coefficients $left(A^*,B^*right)$, visco-elastic parameters $left(betaright)$, Prandtl number $(Pr)$, Brownian motion parameter $(Nb)$, Eckert number $left(Ecright)$, Radiation parameter $left(Rright)$ and local Grashof number $(Gc; Gr). $ An analysis is made to examine the viscous dissipation and thermal effects on magneto hydrodynamic mixed convection stagnation point flow of Maxwell nanofluid passing over a stretching surface. The governing partial differential equations are transformed into a system of ordinary differential equations by utilizing similarity transformations. An effective shooting technique of Newton is utilize to solve the obtained ordinary differential equations. Furthermore, we compared our results with the existing results for especial cases. which are in an excellent agreement. The effects of sundry parameters on the velocity, temperature and concentration distributions are examined and presented in the graphical form. These non-dimensional parameters are the velocity ratio parameter $(A)$, Biot number $(Bi$), Lewis number $(Le)$, magnetic parameter $(M)$, heat generation/absorption coefficients $left(A^*,B^*right)$, visco-elastic parameters $left(betaright)$, Prandtl number $(Pr)$, Brownian motion parameter $(Nb)$, Eckert number $left(Ecright)$, Radiation parameter $left(Rright)$ and local Grashof number $(Gc; Gr). $
A Spectral Investigation of Aqueously and Thermally Altered CM, CM‐An, and CY Chondrites Under Simulated Asteroid Conditions for Comparison With OSIRIS‐REx and Hayabusa2 Observations

Volatile‐rich asteroids are crucial to understanding the transport of water and organics to the terrestrial planet forming region in the early Solar System. Observations of two such asteroids by Hayabusa2 and Origins, Spectral Interpretation, Resource Identification, Security, Regolith Explorer (OSIRIS‐REx) suggest a relationship between these bodies and CI, CM, and CY chondrites. To confirm this, meteorite spectra need to be collected under appropriate conditions for comparison with asteroid observations. We report midinfrared (MIR) emissivity spectra (5.5–50 μm) obtained under ambient and simulated asteroid environment conditions and near‐infrared (NIR) reflectance spectra (2–5 μm) of CM and CY chondrite fine‐particulate (<35 μm) powders for which bulk mineralogy was determined using X‐ray diffraction. Reflectance spectra show a 3 μm feature associated with ‐OH/H2O that shifts from shorter (∼2.72 μm) to longer (∼2.90 μm) wavelengths and develops a rounder shape and reduced band area with increasing thermal metamorphism. In the MIR, the transparency feature (TF) and features in the Si‐O bending region (>15 μm) can be used to infer the relative degree of aqueous alteration, and to resolve the effects of aqueous and thermal alteration, when combined with NIR spectral parameters. The MIR spectra of metamorphosed CY chondrites are distinct from CM chondrite spectra, including a plateau around the Christiansen feature (∼8.00–12.50 μm) and features at longer wavelengths in the Si‐O bending region (e.g., ∼25.50 μm compared to ∼24.30 μm in the CM spectra). We additionally report potential implications of the spectra and parameters determined in this study for the results from Hayabusa2 and OSIRIS‐REx.