Miracle-dz/UniFAR-FTUs huggingface dataset:
Precipitation of spherical magnesium(II) cresolate particles

Magnesium bis-o-cresol (or o-methylphenoxide), [Mg(OMP) 2 ] n (1), was prepared through a variety of synthetic routes that involved the stoichiometric reaction of o-methylphenol (H-oMP), with Mg(Bu) 2 , Mg{N(Si(CH 3 ) 3 ) 2 } 2 (THF) 2 , or the bulk metal (Mg°). In all cases the low-temperature product was found to be soluble, while precipitation occurred at higher temperatures. The precipitate could only be redissolved by the addition of pyridine or a similarly strongly coordinating Lewis base. The pyridine and NH 3 adducts of 1 were isolated as monomeric species, whereas the THF adduct proved to be the dimeric [Mg(μ-oMP)(oMP)(THF) 2 ] 2 , 2. For a limited set of conditions, sufficient control over the precipitation kinetics of the reaction between Mg(Bu) 2 and H-oMP was realized to yield spherical morphologies. The window of spherulitic growth was small and could only be partially controlled by varying reaction conditions during the precipitation. Use of seed particles to control nucleation events during precipitation was found to lead to increased monodispersity of spherical [Mg(OMP) 2 ] n precipitate powders.
Red Mud from Brazil: Thermal Behavior and Physical Properties

The main constituents of red mud produced in Aluminio city (S.P., Brazil) are iron, aluminum, and silicon oxides. It has been determined that the average particle diameter for this red mud is between 0.05 and 0.002 mm. It is observed that a decrease in the percentage of smaller particles occurs at temperatures greater than 400 °C. This observation corresponds with the thermal analysis and X-ray diffraction (XRD) data, which illustrate the phase transition of goethite to hematite. A 10% mass loss is observed in the thermal analysis patterns due to the hydroxide–oxide phase transitions of iron (primary phase transition) and aluminum (to a lesser extent). The disappearance and appearance of the different phases of iron and aluminum confirms the decomposition reactions proposed by the thermal analysis data. This Brazilian red mud has been classified as mesoporous at all temperatures except between 400 and 500 °C where the classification changes to micro/mesoporous.
Direct Sensing in Liquids Using Whispering‐Gallery‐Mode Droplet Resonators

is in the near-infrared). [ 16,22 ] No real sensing experiment with non-solid optical resonators has been reported to date. Here, we perform optical sensing with micro-resonators made directly of liquid droplets. We show that a liquid droplet exhibits sharp WGM resonances that can be used for sensing in a reliable way, operating in normal ambient conditions without insulation or chemical preparation. This resonator serves simultaneously as the sample and optical cavity, and permits direct investigation of the chemical composition as well as detection of nanoparticles in a liquid sample. As opposed to solid microcavities, the intracavity fi eld is directly used for sensing instead of its evanescenttail, thereby fully exploiting the cavity enhancement. Indeed, with a liquid resonator, light-matter interaction does not have to be rescaled by the evanescent wave fraction (penetration depth). The measurement of optical absorption in different liquids and real-time detection of small WGM shifts are demonstrated. WGMs in liquid resonators have only been reported for lasing experiments with dye-doped glycerol microdroplets standing on customized surfaces [ 24 ] but no experimental demonstration has been given for them as real sensors so far. We expect that our method will lead to new experiments in liquid resonators, from fundamental studies to sensing applications. Our experimental scheme is based on free-space coupling of a near-infrared (NIR) laser beam to individual droplets of ∼0.5–1.5 mm diameter as sketched in Figure 1 . [ 25 ] In order to hold a droplet for optical alignment, the liquid was either suspended from the tip of a glass wire (e.g., a silica fi ber) or pushed through the needle of a syringe until an almost spherical shape was spontaneously assumed. The droplet remained attached to the tip thanks to liquid surface tension and it was kept in a wellfi xed position without resorting to any chemically engineered surface (see Experimental Section). The vertical stem was used for fi ne alignment of the sphere into the laser beam. In this confi guration, gravity causes vertical ellipticity without modifying droplet symmetry and leads to non-degenerate WGMs. Slight deformations due to imperfections in the suspension tip facilitate optical coupling. [ 26 ] This system can easily be extended to a multiple-droplet interrogation scheme where the liquid is dispensed through a pump-controlled microchannel. Droplets from water, liquid paraffi n, oils, and polyethylene glycol (PEG) were readily obtained and successfully suspended as, in all these cases, the surface tension was strong enough to balance their weight for diameters up to 1.5 mm. Liquid oils were used for a proof of principle in our experiment because of their low evaporation rate and high transparency in the NIR. Telecommunication optical components, detectors and lasers were adopted for their high quality and easy availability. When the laser beam Direct Sensing in Liquids Using Whispering-Gallery-Mode Droplet Resonators
How are Indigenous Communities Being Affected by Deforestation and Degradation in Northern Argentina?

Agricultural expansion is altering the provision of ecosystem services and seriously affecting the well-being of the indigenous communities still living in forests. In this paper, we evaluate the impact of forest loss and degradation on the indigenous forest dependent communities of Eastern Salta, Argentina, between 2001 and 2015. First, we identified the demand area of ten final ecosystem services for 202 indigenous communities using participatory mapping data. Second, we calculated the remaining usage area using a deforestation geodatabase based on Landsat images. Third, we analyzed the significance of trends in forest productivity processing vegetation spectral indices from MODIS products. By last, we detected changes in the growing season length by evaluating monthly trends in spectral indices. Our results show a reduction of 21% in the area used by indigenous communities for capturing final ecosystem services, and significant negative trends in forest productivity for the demand area of 64% of the communities, indicating that the area of use is not only being reduced, but also remnant forest area is being degraded and the growing season is being shortened. These aspects indicate an important loss in the provision of ecosystem services that deeply affects the wellbeing of indigenous communities.
Exploring the Students’ Response of Flipped Learning through Social Networking Sites (SNSs)

Flipped learning has developed a particular approach that facilitates the students to acquire new knowledge outside the classroom. In this digital era, it grows as technology does. MALL (Mobile Assisted Language Learning) has a vital role in supporting English language teaching implementation. It has several applications, which can be a tool to teach English. One of the applications is using Social Networking Sites (SNSs), which the students have a high interest in using it in daily life. The research is a case study that aims to investigate the students' perception of flipped learning through Social Networking Sites (SNSs) to develop their writing ability. The participants of the research are 30 English department students in the second semester. There are ten men and 20 women in the class. The data collection was from an interview and a Technology Acceptance Model (TAM) questionnaire. This research indicates that the students have more ideas to write, and they can collaborate with their friends in writing through Social Networking Sites (SNSs). The result shows that the flipped classroom's implementation through SNSs is an alternative way for teachers to facilitate the learning of EFL writing in this digital era.
Attitudes, Skills and Use of Evidence-Based Practice Amongst Spanish Osteopaths: A Cross-Sectional Survey

Background: Although evidence-based practice (EBP) is largely supported across healthcare professions, its implementation in manual therapy professions such as osteopathy remains limited and debated. There is currently little knowledge of how EBP relates to osteopathy in Spain, and the attitudes, skills and utilisation of osteopaths.Objectives: The main aim of this study was to investigate the attitudes, skills and use of EBP among Spanish osteopaths. A secondary aim was to identify barriers and facilitators for the adoption of EBP in the Spanish osteopathic context.Methods: National cross-sectional survey of Spanish osteopaths registered and non-registered to an osteopathic association in Spain. Eligible participants were invited by a range of recruitment strategies including email and social media campaigns to complete the Spanish-translated Evidence-Based practice Attitude and utilization Survey (EBASE) anonymously online. Results: A total of 567 osteopaths completed the survey which represents an estimated response rate of approximately 9%. Participant’s attitudes toward EBP were largely positive. Most respondents agreed or strongly agreed that EBP was necessary in the practice of osteopathy (89.6%) and professional literature and research findings were useful to their day-to-day practice (88.9%). Levels of perceived skill in EBP were reported as low to moderate with lowest levels for items related to ‘research conduct’. Except reading/reviewing professional literature and using online search engines to find practice-related literature, participant engagement in all other EBP-related activities was generally infrequent. The perceived proportion of clinical practice that was based on clinical research evidence was reported to be very small. Main barriers to EBP uptake included a lack of clinical evidence in osteopathy and insufficient skills for applying research findings. Main facilitators of EBP uptake included access to full-text articles, internet at the workplace and online databases.Conclusions: Spanish osteopaths were largely supportive of evidence-based practice, had low to moderate skills in EBP and engaged in EBP activities infrequently. Formal regulation of the profession in Spain and the inclusion of osteopathic programs into the university sector would potentially improve EBP adhesion.
The Relationship of Human Resource Strategic Partner Role and Job Performance under Mediation of Achievement Motivation Structural Equation Model

This research explored the relationship among human resource practitioner strategic partner role, achievement motivation and the degree of job performance. The research focus was the human resource management practitioners in enterprises and data were collected through convenience sampling. Eight hundred questionnaires were sent out by e-mail, 198 valid questionnaires were returned (24.75%). The results show that there is a significant influence between the: (1) human resource strategic partner and the job performance and (2) achievement motivation of human resource practitioners and the job performance and also that (3) achievement motivation exists mediating effect and affection is completely mediating effect between human resource strategic partner and the job performance.
A continuous dynamic recrystallization constitutive model combined with grain fragmentation and subgrain rotation for aluminum alloy 2219 under hot deformation

The large temperature gradient resulted from rapid heat dissipation and a long process period in the hot deformation of aluminum alloy causes complex microstructure evolutions. Accurate constitutive models describing the evolution of the microstructures over a wide temperature range are acquired. Thus, a physically-based continuous dynamic recrystallization constitutive model combined with grain fragmentation and subgrain rotation was established in this investigation. Uniaxial hot compression tests for aluminum alloy 2219 were conducted at temperatures of 250 °C–450 °C and the evolution of microstructures were analyzed via metallographic technique. Then internal state variables were proposed to describe the migration of grain boundary, dislocation density, average grain boundary misorientation, and subgrain/grain size. The net torque on the grain is introduced to precisely describe the progressive subgrain rotation mechanism. Moreover, geometrically necessary dislocations are considered to reasonably simulate the rise in flow stress associated with grain fragmentation. The results show that continuous dynamic recrystallization (CDRX) and dynamic recovery are the main softening mechanisms. The CDRX mechanism is gradually changed from grain fragmentation to subgrain rotation due to the increase in temperature. The new constitutive model may precisely predict the flow stresses, subgrain/grain size, and average misorientation in the wide temperature range. Comparing with the existing continuous dynamic recrystallization model which only considers subgrain rotation, the overestimate of the grain size in the low-temperature range is avoided in the new constitutive model. Furthermore, the contributions of the grain fragmentation to the increase in strain hardening can reasonably be covered.
Effect of grazing exclusion on soil and vegetation characteristics in desert steppe rangelands: a case study from north-western Iran

Abstract This case study examined the effect of grazing exclusion on the soil and vegetation characteristics to provide support for the restoration of the degraded desert steppe rangelands of the Arshagh ecoregion. Six sampling sites were selected (three overgrazed and three not grazed sites) from the ecoregion. Vegetation sampling (1 m2 area at 10 intervals) was carried out along 18 pieces of 90 m long transects. Soil samples were collected from the plots at the beginning, middle, and end of each transect from 0–15 cm depths and then combined to get one sample per transect. Differences between vegetation and soil properties of the grazing exclusion and overgrazed sites were analyzed using the t-test statistic. Species richness index (2.32), the diversity index (1.87), and plant cover (69.46%) were maximum at sites after 20-years of grazing exclusion. All species of plant functional types at the exclusion sites were significantly (p < 0.05) different from those at the overgrazed site. Total aboveground net primary production was greater at the exclusion sites (56.50 g/m2) than at the overgrazed sites. Soil pH was significantly (p < 0.05) higher at the exclusion site than at the overgrazed sites. Electrical conductivity was significantly higher at the overgrazed sites than at the exclusion sites. These results imply that livestock exclusion plays an important role in such vegetation parameters as the diversity, cover and soil properties of degraded rangeland ecosystems. Moreover, grazing exclusion in Arshagh rangelands may be a promising management option for the restoration of such rangelands.
Mathematical Representation of Viscosity of Ionic Liquid + Molecular Solvent Mixtures at Various Temperatures Using the Jouyban-Acree Model

The viscosity of room temperature ionic liquid + molecular solvents is correlated using the Jouyban–Acree model, and the accuracy of the model is evaluated using average relative deviations (ARD) of the calculated and experimental values. The overall ARD of 6.9 % was obtained for the proposed model where the overall ARD for a similar model from the literature was 22.4 %. The mean difference between ARDs of the models was statistically significant. Combined forms of the Jouyban–Acree model and the Abraham parameters were used for predicting the viscosity of the mixtures at various temperatures. The overall ARD for the investigated mixtures was 15.0 % when the experimental viscosity of the pure solvents was included. The ARD of the in silico version of the model was 20.7 %.
On a Method of Making Visible the Paths of Ionising Particles through a Gas

The tracks of individual α - or β -particles, or of ionising rays of any kind, through a moist gas may be made visible by condensing water upon the ions set free, a suitable form of expansion apparatus being used for the purpose. In order that the clouds formed should give a true picture of the trails of ions left by the ionising particles, it is necessary that little or no stirring up of the gas should result from the expansion. It is desirable that no interval long enough to allow of appreciable diffusion of the ions should elapse between their liberation and the production of the super-saturation necessary for the condensation of water upon them; and that the cloud-chamber should be free from all ions other than those in the freshly formed trails.
Electronic and optical properties of ordered BexZn1−xSe alloys by the FPLAPW method

We have used the ab initio full potential linear augmented plane wave (FPLAPW) method within the local density functional theory to calculate the dielectric function and reflectivity of BexZn1−xSe alloys for different compositions x = 0.0, 0.25, 0.50, 0.75 and 1.0. The calculated dielectric function and reflectivities show reasonably good agreement with the experimental data. The valence band maximum is dominated by the Se-3p states and the conduction band minimum by Zn-4s states for x = 0.0, i.e. ZnSe, and by Be-p states for x = 1.0, i.e. BeSe. Our calculations show that the direct band gap varies linearly with x.
CRISP-EDM: uma proposta de adaptação do Modelo CRISP-DM para mineração de dados educacionais

This theoretical article presents a proposal to adapt the consolidated CRISPDM data mining model to educational data scenarios, whether they come from online teaching platforms or from sources such as national course exams or even academic management systems. Despite fully following the six steps of the original model, the proposed model, here called CRISP-EDM, presents some particularities due to the types of data and the educational domain. The model has already been used in two approved doctoral theses and is now presented in more detail in this work. This is expected to contribute to research in the field of educational data mining. Resumo. Este artigo teórico apresenta uma proposta de adaptação do consolidado modelo de mineração de dados CRISP-DM, para cenários de dados educacionais, sejam eles provenientes de plataformas de ensino online ou de fontes como exames nacionais de curso ou mesmo de sistemas de gestão acadêmica. Apesar de seguir integralmente as seis etapas do modelo original, o modelo proposto, aqui denominado de CRISP-EDM, apresenta algumas particularidades em razão dos tipos de dados e do domínio educacional. O modelo já foi usado em duas teses de doutorado aprovadas e agora é apresentado com mais detalhes neste trabalho. Espera-se com isso, dar uma contribuição às pesquisas na área de mineração de dados educacionais.
A Combined Density-Functional and IRAS Study on the Interaction of NO with Pd Nanoparticles: Identifying New Adsorption Sites with Novel Properties

Nanocrystalline particles expose special adsorption sites close to edges and corners, giving rise to novel adsorption and reaction properties. The spectroscopic identification of these sites represents a great challenge, however. Here, we present results of a combined experimental and theoretical study on the adsorption of NO on Pd nanoparticles, using infrared reflection absorption spectroscopy (IRAS) and calculations based on density-functional theory (DFT). This approach facilitates identification of the adsorption sites available on the nanoparticles and reveals detailed information on their bonding properties, on the vibrational parameters of NO adsorbed on these sites, and on their sequence of occupation. With respect to all these aspects, the adsorption behavior of NO on the Pd nanoparticles notably differs from any single crystal reference data available. The IRAS studies are performed on well-defined Pd nanoparticles supported on an ordered Al2O3 film on NiAl(110). The growth and structure of the.
Rosiglitazone Protects Blood-Brain Barrier Integrity Following Ischemic Stroke by Reducing MMP-9 Expression Through a Caveolin-1-Dependent Pathway.

Background: Rosiglitazone (RSG) is a widely used antidiabetic drug which activates peroxisome proliferator-activated receptor-γ. Recent work have shown that RSG can up-regulate caveolin-1 levels and ameliorate both chronic and acute brain injury. However, whether rosiglitazone can ameliorate ischemic injury in the brain via a caveolin-1-dependent pathway remains unknown. Methods: Adult male sprague-dawley rats were randomly divided into sham operation group, model group, rosiglitazone group and rosiglitazone+daidzein group. The rat models of middle cerebral artery occlusion (MCAO) was established using the suture method, with ischemia for 2 hours and reperfusion for 22 hours. Neurological deficits were evaluated by the methods of Longa’s standard scoring. Cerebral infarction volume was observed by staining with 2, 3, 5-triphenyltetrazolium chloride. Evans blue content reflects BBB permeability. The expressions of caveolin-1, matrix metalloproteinase-9(MMP-9) and occludin were detected by immunofluorescent staining and western blot. Results: In this study, we found that the expression of caveolin-1 was increased in a rat model of stroke, and treatment with RSG significantly increased the levels of caveolin-1, reduced the release of MMP-9, and increased the expression of occludin. On the other hand, a caveolin-1 inhibitor daidzein canceled the protective roles of RSG in the MCAO model.Conclusions: These data unveil that RSG might protect blood-brain barrier integrity by down-regulating the levels of MMP-9 via a caveolin-1-dependent pathway.
Photo Content Classification Using Convolutional Neural Network

This research is about photo content classification using the TensorFlow framework and the deep neural network algorithm in deep learning. Machine learning is a multidisciplinary major whose main research object is artificial intelligence, which enables machines to have the learning ability like human beings. As a branch of machine learning, deep learning analyses and interprets texts, images, and sounds by learning the rules and representations of sample data. A convolutional neural network is an approach of a deep neural network, which is mostly applied to analyse the photo content and has good performance in photo content classification. It is also the main point that the study focuses on. The Visual Geometry Group 16 (VGG16) model in the convolutional neural network was used to achieve the research objectives and has excellent performance. The research used data from CelebFaces and Kaggle, including photos about people, food, animals, and architecture. The photo content classification model in this study can classify these four types of images. Moreover, the analysis of the work, summary, as well as the future work were provided at the end.
A numerical study on fractional differential equation with population growth model

In this work, we developed two efficient and fast numerical technique to solve an initial value problem (IVP) of the linear and nonlinear fractional differential equations (FDEs) of order α, 0 < α < 1. Here we have used the arbitrary order derivatives in Riemann style. The proposed algorithm are very accurate and provides the solutions directly without perturbations, linearization, or any other assumptions. Illustrating examples with numerical comparisons between the proposed algorithm and the exact and/or Euler method and the improved Euler method (IEM) are given to reveal the efficiency and the accuracy of our algorithm. These scheme has quadratic and cubic convergence rate which is faster than the Euler method and IEM for solving the IVP of FDEs. Moreover, we have discussed the behaviors through graphical representation of the obtained solutions. Furthermore, both methods will be useful for the treatment of disease models for further study.