Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Factors Based on an Extended UTAUT Model to Confirm Computer Science Instructors’ Behavioural Intention to Adopt the Flipped Classroom

In terms of technology used to improve education, the flipped classroom provides an opportunity to enhance the teaching experience for both learners and educators. Studies have shown that flipped classroom teaching has been widely adopted in computer science courses. However, the review conducted in this study of literature on flipped classroom practices in the context of computer science shows that the method has been investigated in relation to student perspectives, but also reveals a lack of research related to factors that could influence computer science instructors’ intentions to adopt the technique. Therefore, this paper presents and provides the preliminary results of an investigation of five proposed factors with flipped classroom practitioners who have applied the flipped classroom at least once in their teaching. A total of fourteen semi-structured interviews have been conducted with participants mainly from computer science and related disciplines, in order to confirm the significance of each proposed factor. The results provide evidence given by the participants on the significance of each of the five proposed factors, particularly the first three, as well as additional factors recommended by the respondents.
Characterization of cellulose aldehyde using Fourier transform infrared spectroscopy

Fourier transform infrared spectroscopy has been used to study cellulose aldehyde groups in bleached cotton, unbleached cotton, and in periodate oxidized cotton. Second derivative spectroscopy could reproducibly identify aldehyde bonds in oxidized cotton only if the samples were predried at 110°C for 24 h; the aldehyde band appeared at 1732–1734 cm−1. Diffuse reflectance spectroscopy in the Environmental Chamber readily detected the above aldehyde absorbances at temperatures above 100°C. © 2001 John Wiley & Sons, Inc. J Appl Polym Sci 82: 1195–1202, 2001
Evaluation of the Effects of 12 Weeks Mindfulness-Based Stress Reduction on Glycemic Control and Mental Health Indices in Women with Diabetes Mellitus Type 2

Background: Diabetes mellitus is one of the major health problems in the world. Stress and mental illnesses adversely affect glycemic control. In most patients, a multidisciplinary approach including physical activity, healthy diet, and stress management is required for glycemic control. Mindfulness-based stress reduction (MBSR) is a structured group program that reduces emotional distress through self-awareness and assuming the responsibility for individual choices, and results in increased effective health behaviors. Here, we aimed to evaluate the effects of mindfulness meditation on glycemic control and mental health in patients with type 2 diabetes. Materials and Methods: This randomized clinical trial study was performed in 2018 in Isfahan city. A total number of 108 patients with diabetes mellitus type 2 were selected and allocated randomly to two groups, intervention (12 weeks MBSR program) and control (routine care). Depression, anxiety, and stress scores regarding to depression, anxiety, and stress Scale - 21 questionnaire and also amounts of fasting blood sugar (FBS) and hemoglobin A1C (HbA1C) were assessed and analyzed using independent t-test, paired t-test, Mann–Whitney U-test, and Chi-square, before and 13 weeks after educational programs. Results: The means of HbA1C, FBS, and depression, anxiety, and stress scores improved significantly after intervention in the MBSR group. Except FBS levels, all outcome variable scores' mean change was significant between the two groups. Conclusions: In general, this study revealed that mindfulness meditation could be helpful in improving the quality of mental health and lowering glycemic control indices in patients with type 2 diabetes mellitus.
A Novel Atmosphere-Informed Data-Driven Predictive Channel Modeling for B5G/6G Satellite-Terrestrial Wireless Communication Systems at Q-Band

This paper proposes a novel atmosphere-informed predictive satellite channel model for beyond the fifth-generation (B5G)/the sixth-generation (6G) satellite-terrestrial wireless communication systems at Q-band to model/predict channel attenuation at any specific time. The proposed channel model is a data-driven model based on either of two deep learning networks, i.e., multi-layer perceptron (MLP) and long short-term memory (LSTM). The accuracy of the proposed channel model is measured by cumulative density function (CDF) of absolute error and mean square error (MSE) between modeled/predicted and measured channel attenuation. The complexity of the proposed channel model is assessedby the training time, loading time, and test time of deep learning networks. To further improve the accuracy of the proposed channel model, weather classification is developed at the stage of database construction. Based on our established channel and weather measurement campaign, the performance of the proposed data-driven channel model based on different deep learning networks, e.g., MLP and LSTM, with or without the weather classification is investigated and analyzed comprehensively. Finally, the close agreement is achieved between the channel attenuation modeled/predicted from the proposed atmosphere-informed predictive satellite channel model and the one from real channel measurements, verifying the utility of proposed channel model.
Conservation of Kit Foxes in the Great Basin Desert: Review and Recommendations

The kit fox Vulpes macrotis is a species of concern to land managers in the Great Basin Desert of North America. Once common, kit foxes have declined from historical levels. Research on kit foxes in western Utah has spanned nearly 70 y and has potential to inform management and conservation within the Central Basin and Range Ecoregion of the Great Basin Desert. We conducted a systematic literature review on the northern kit fox subspecies V. m. nevadensis. We focused on studies conducted in the Central Basin and Range Ecoregion, which represents the majority of the Great Basin Desert, and provided a comprehensive summary of their ecology and demographics for resource managers. To guide future monitoring, we also reviewed techniques used for kit fox monitoring and research, and evaluated the strengths, limitations, and advances of these techniques. We identified four key factors that deserve consideration when selecting monitoring techniques for kit foxes: estimable parameters, reliability, cost, and rate of data return. Finally, we identify four primary management recommendations. We recommend that managers (1) expand kit fox monitoring and population assessments more broadly across the Great Basin Desert. To ensure future monitoring meets the needs of resource managers, we recommend (2) the application of a structured decision-making process to identify key parameters and approaches. To better understand the factors limiting kit fox populations we recommend (3) population viability and parameter sensitivity analyses to identify drivers of population change. Finally, based on evidence that genetic diversity of kit fox populations has been maintained by undescribed patterns of gene flow, we recommend (4) a broad-scale assessment of population connectivity to identify corridors supporting metapopulation dynamics. These recommendations will facilitate proactive conservation of kit foxes and management practices to reduce future population declines. Journal of Fish and Wildlife Management | www.fwspubs. org December 2020 | Volume 11 | Issue 2 | 679 D ow naded rom hp://m eridianenpress.com jfw m /article-pdf/11/2/607/i1944-687x-11-2-679.pdf by gest on 21 Feruary 2021
INTER- AND INTRASPECIFIC LEAF TRAIT VARIATION INDUCED BY THE LOCAL ENVIRONMENT IN A MONTANE BROAD-LEAVED FOREST IN WESTERN CHINA

Understanding how forest communities respond to environmental factors via intraand interspecific variation in leaf functional traits is a fundamental challenge in forest ecology. Especially, little is known about the degree to which trees respond to environmental factors at the forest community level. To fill this gap, an experiment across 34 plots was conducted in a subtropical montane broad-leaved forest in western China. Based on 327 trees of 27 species, intraand interspecific variations in leaf morphological and chemical traits were measured, and their relationship with environmental factors was determined. Canonical correlation analysis (CCA) was used to assess the relationships between the local environment and trait variation. Our results show that leaf morphological traits are related to chemical traits. The contribution of interspecific variability was dominant between species and communities, but intraspecific variability explained a large amount of variation (35.9%–56.2%) in chemical traits, despite the fact that high levels of species turnover were observed at the forest community level. Leaf traits showed responses to local environmental variables, with tree size being most strongly correlated. Our findings emphasize that leaf functional traits are correlated with environmental gradients. Therefore, to study the ecological process in subtropical forests using traits-based approaches, researchers need to account for their considerable intraspecific variability.
Red blood cell deformation in microconfined flow

In this work, we report on a systematic fluidodynamic investigation of red blood cell (RBC) suspensions flowing in microcapillaries with diameters comparable to the cell size in vitro. By using high-speed video microscopy and image analysis, we provide the first simultaneous determination of both cell velocity and shape parameters related to RBC membrane deformability over an extended range of pressure drops, and the first quantitative comparison with theoretical results from the literature. Good agreement was found with the predicted axisymmetric shapes tending towards an apparent bullet-like asymptotic configuration at increasing cell velocity. A potential application of this work is in the design of flow-based devices to study the pathological conditions affecting cell deformability, thus allowing us to overcome the limits of classical static methods, such as micropipette aspiration, which are not suitable for handling a large number of cells.
Chemical reaction and Schottky barrier formation at the Ti/InP(110) and Sn/InP(110) interfaces: Reactive versus nonreactive cases

We present a soft x‐ray photoemission study of the in situ grown Ti/InP(110) and Sn/InP(110) interfaces. We find that the Ti overlayer deposited onto the cleaved InP(110) surface readily reacts even at submonolayer coverages. A Ti–In alloy (In dispersed in the Ti overlayer) of changing composition and two Ti–P phases are formed. While In outdiffuses at room temperature (RT) through more than 40 A of Ti, the P‐containing reaction phases are more confined to the interface. In contrast, the Sn overlayers do not react with the InP(110) surface and the overlayer is growing in the Stranski–Krastanow fashion with at least one uniform Sn layer. Independent of large differences in reactivity, the surface Fermi level pinning energies are for both interfaces studied similar (0.3 eV for Ti and 0.4 eV for Sn). This indicates, in agreement with our previous studies of InP interfaces, that the RT pinning level is insensitive to the microscopic chemistry and calls for a simple (in the first approximation) mechanism of th.
Does antigorite really contain 4- and 8-membered rings of tetrahedra?

Abstract Recent studies of the structure of antigorite by Capitani and Mellini (2004, 2005) and by us (Dódony et al. 2002; Dódony and Buseck 2004a) produced contradictory results. The main point of contention is whether 4- and 8-membered rings of tetrahedra occur at the positions where the tetrahedra in the tetrahedral sheets reverse their orientation. We analyzed electron diffraction patterns and transmission electron microscopy images in the paper of Capitani and Mellini (2005) and found no evidence for 4- and 8-membered rings of tetrahedra. On the contrary, we show that their TEM data confirm our antigorite model (Dódony et al. 2002) for the m = 16 structure. The significance of this debate goes beyond the subtleties of the structure of antigorite and highlights ambiguities in interpretation of HRTEM images as well as problems that can arise during image processing.
Comparison of XeF2 and F‐atom reactions with Si and SiO2

Silicon gasification by XeF2 is compared with F‐atom etching under conditions typical of those used in plasma etching. Temperatures ranged from −17 to 360 °C and XeF2 pressures were between 0.05 and 2 Torr. Silicon etching by XeF2 shows a sharply different etch rate/temperature dependence than the Si/F or Si/F2 reaction systems; there is no detectable reaction between XeF2 and SiO2 in contrast to the F‐atom/SiO2 system. These data indicate that physisorption can limit silicon etching by XeF2 and show that basic studies which use XeF2 as a model compound for the etching of silicon and SiO2 by F atoms should be interpreted with caution.
Synthesis and characterization of novel biodegradable triblock copolymers from L‐Lactide, glycolide, and PPG

Copolymers with a PPG center block and two arms of random glycolide/ lactide copolymers have been synthesized and characterized. Compared to random glycolide/lactide copolymers, these new polymers have high toughness and low elastic modulus. 1 H-NMR spectral lines of glycolide CH2 protons of the copolymers are essen- tially identical. These materials show no crystallization transition in DSC thermo- grams and their melting points with respect to PLLA appeared at lower temperatures, indicating the pivotal role of the PPG center block in the copolymer. Degradation in aqueous media (pH 5 6.9, 70°C) with stirring, subjected the two end blocks to hydrolytic degradation. The glycolyl ester bond cleavage was faster than for the lactyl ester bond. © 1999 John Wiley & Sons, Inc. J Appl Polym Sci 73: 633- 637, 1999
Running header: META-ACCURACY OF PERSONALITY IMPRESSIONS 1 The Accuracy and Meta-Accuracy of Personality Impressions from Faces

People spontaneously judge others’ personality based on their facial appearance and these impressions guide many important decisions. Although the consequences of personality impressions are well documented, studies on the accuracy of personality impressions have yielded mixed results. Moreover, little is known about people’s meta-accuracy (i.e., whether they are aware of their judgment accuracy). Even if accuracy is generally low, meta-accuracy would allow people to rely on their impressions in the right situations. In two studies (one preregistered), we examined the accuracy and meta-accuracy of personality impressions. We addressed three crucial limitations of previous studies (a) by incentivizing accuracy and metaaccuracy, (b) by relying on substantially larger samples of raters and targets (646 participants rating 1,660 faces), and (c) by conducting Bayesian analyses to also quantify evidence for the null hypothesis. Our findings consistently suggest that people show neither accuracy nor metaaccuracy when forming face-based personality impressions.
On‐site analysis of Limoges enamels from sixteenth to nineteenth centuries: an attempt to differentiate between genuine artefacts and copies

A selection of 15 painted enamels, most of which belong to Limoges productions, from 1500 to 1900 A.D., has been studied on-site in the storage rooms of musee des Arts decoratifs in Paris. The Raman signatures of the transparent and/or opacified glass matrix are discussed and compared with those which were previously recorded on glazed pottery, enamelled and stained glasses as well as Chinese cloisonne enamels. Analysed enamels mostly belong to soda-lime-based glass. Three types of compositions such as soda-lime (fifteenth to sixteenth century), soda-rich (fifteenth, sixteenth/nineteenth centuries) and lead-potash-lime (sixteenth and nineteenth centuries) are identified on the basis of the Raman signature of the glaze according to the wavenumber maxima of the SiO stretching and bending multiplets. The pigment signatures are similar to those recorded on ceramic glazes and glass enamels, which proves the similarity of the technologies. Cassiterite as an opacifier and hematite red and Naples yellow pigment variations give characteristic Raman signatures. The presence of lead arsenate as a pigment opacifier in nineteenth-century samples is confirmed. Attempts are made to establish tools for the differentiation between genuine artefacts and nineteenth-century restoration or fakes. Copyright © 2010 John Wiley & Sons, Ltd.
SWINE EFFLUENT COMPARED TO INORGANIC FERTILIZERS FORTOMATO PRODUCTION

Five fertilizer treatments, three of whichincluded swine effluent, were evaluated for plasticultureproduction of tomato, cv. Mountain Spring, grown on raised bedswith black polyethylene mulch and drip irrigation at twolocations in northern Mississippi in 1999. Treatments differedin the relative portion of total nitrogen (N), phosphorus (P),and potassium (K) supplied by effluent, inorganic preplant, orinorganic soluble sources. Yields averaged 51,300 and52,200 kg ha−1 at the Verona and Pontotoc locations, respectively, and weremostly extra-large fruit. Treatments that received swineeffluent produced marketable yields and relative number ofmarketable fruit equal to treatments that received fertilizersfrom inorganic preplant or soluble sources. These results showthat swine effluent was an effective source of nutrientscompared to conventional sources for production of tomato.Differences in the predominate nitrogen form, that is, nitratenitrogen(NO3 − N)and ammonium nitrogen(NH4 + N)from inorganic fertilizers compared to mostlyNH4 + Nfrom effluent, did not affect yield or quality. In addition,swine effluent was easily applied through a typical dripirrigation system using common management practices. Dripirrigation, in combination with plastic mulch, may provideincreased application efficiency and reduced odor and nutrientrunoff during the growing season compared to current methods ofeffluent application to other crops.
Elimination of the Major Deep Levels in n- and p-Type 4H-SiC by Two-Step Thermal Treatment

By thermal oxidation of 4H-SiC at 1150–1300 °C, the Z1/2 and EH6/7 concentrations can be reduced to below 1×1011 cm-3. By the oxidation, however, a high concentration of HK0 center (EV + 0.78 eV) is generated. Additional annealing in Ar at 1550 °C results in elimination of the HK0 center. Thus, all the major deep levels can be eliminated by the two-step thermal treatment. Based on the depth profiles of deep levels, a model for the defect generation and elimination is proposed. The carrier lifetime in 4H-SiC epilayers has been improved from 0.64 (as-grown) to 4.52 µs by this method.
CsAl(H2AsO4)2(HAsO4) a new monoclinic protonated arsenate with decorated kroÈhnkite-like chains

The crystal structure of hydrothermally synthesized caesium aluminium bis[dihydrogen arsenate(V)] hydrogen arsenate(V), CsAl(H(2)AsO(4))(2)(HAsO(4)), was determined from single-crystal X-ray diffraction data collected at room temperature. The compound represents a new structure type that is characterized by decorated krohnkite-like [100] chains of corner-sharing AlO(6) octahedra and AsO(4) tetrahedra. Ten-coordinated Cs atoms are situated between the chains, which are interconnected by five different hydrogen bonds [O.O = 2.569 (4)-2.978 (4) A]. All atoms are in general positions. CsAl(H(2)AsO(4))(2)(HAsO(4)) is very closely related to CsGa(H(1.5)AsO(4))(2)(H(2)AsO(4)) and isotypic CsCr(H(1.5)AsO(4))(2)(H(2)AsO(4)).
Attention-Based Gated Recurrent Unit for Gesture Recognition

Gesture recognition becomes a thriving research area in modern human motion recognition systems. The intensification of demands on efficient interactive human–machine-interface systems, commercial objectives, and many other factors contributes to fuel this revival dynamics. Understanding human gestures becomes essential for prevention and health monitoring applications. In particular, analyzing hand gestures is of paramount importance in personalized healthcare-related applications to help practitioners providing more qualitative assessments of subject’s pathologies, such as Parkinson’s diseases. This work proposes a novel deep neural network approach to forecast future gestures from a given sequence of hand motion using a wearable capacitance sensor of an innovative gesture recognition hardware system. To do this, we use an attention-based recurrent neural network to capture the temporal features of hand motion to unveil the underlying pattern between the gesture and these sequences. While the attention layers capture patterns from the weights of the short term, the gated recurrent unit (GRU) neural network layer learns the inherent interdependency of long-term hand gesture temporal sequences. The efficiency of the proposed model is evaluated with respect to cutting-edge work in the field using several metrics. Note to Practitioners—In this article, the problem of human hand gesture recognition is analyzed using deep learning techniques. The proposed model uses input historical motion sequences collected from a wearable capacitance sensor to predict hand gestures. The model leverages the intrinsic correlation of motion sequences and extracts the salient part of the sequences by taking into consideration their temporal, complex, and nonlinear features. The approach studies the effect of different lengths of historical motion sequences in prediction outcomes. This allows for avoiding using cumbersome data collection, heavy data treatment, and high computational cost. The model performance is trained and assessed on real-world data by performing comparisons with alternative approaches, including well-known classifiers. The model yields very encouraging results and demonstrates that the proposed approach is quite competitive as it can reproduce typical activity trends for important channels. The present findings could help in the development of intelligent wearable devices for predicting hand gestures using a limited number of channels. This work could also help practitioners to provide a more qualitative appraisal of patients suffering from different pathologies such as Parkinson’s diseases to personalized healthcare-related applications and to develop wearable gesture recognition devices on a large scale.