Miracle-dz/UniFAR-FTUs huggingface dataset:
Is the Association of Platelet Rich Plasma and Hyaluronic Acid Useful for Severe Knee Arthrosis?

Background: Evaluate the effectiveness of intra-articular injections of platelet rich plasma associated with hyaluronic acid, in severe knee osteoarthritis in elderly patients. By comparing the results of mild and moderate osteoarthritis group (younger) with the severe osteoarthritis group (older). Methods: The treatment was based on a technique which consisted of a superolateral knee injection of 2 mL of xylocaine (1% without constrictor vessel) followed by an injection of 2 mL of hyaluronic acid and an injection of 4 mL of platelet rich plasma. All injections were guided by ultrasound and given in the same site. Comparative analysis of pre and post treatment was performed. Results: No significant difference were obtained between the groups (p value > 0.05), showing that despite having a different Kellgren and Lawrence classification, the two groups showed a similar improvement result. Conclusion: The association of platelet rich plasma and hyaluronic acid in the treatment of knee arthrosis is useful for the improvement of the WOMAC total score, as well as of its subscores (pain, function, and stiffness). Similar results were obtained for patients with severe arthrosis and those with mild and moderate arthrosis.
A 3-D Printed Waveguide-Based Linearly Polarized Magnetoelectric Dipole Antenna

This letter presents a waveguide-based linearly polarized magnetoelectric (ME) dipole antenna. The magnetic and electric dipoles are realized by a waveguide aperture and a pair of rectangular patches, respectively. The antenna employs a 3-D printing technique as the manufacturing method. Compared to the conventional ME dipole designs that operate in microwave band, the proposed antenna has a novel structure and exhibits simplified fabrication process. In order to realize the metallic walls of the waveguide structure, a two-step metal deposition technique (sputtering and electroplating) is used to coat the dielectric with copper. To validate the design idea, a prototype is designed and fabricated in X-band for demonstration. Through experiments, it is found that the proposed antenna can achieve a wide impedance bandwidth of 46.8<inline-formula><tex-math notation="LaTeX">${\%}$</tex-math></inline-formula> from 7.2 to 11.6 GHz and a stable gain of 5.4 <inline-formula><tex-math notation="LaTeX">$\pm$</tex-math></inline-formula> 1.2 dBi. While the antenna has stable patterns, low cross-polarization and backlobe radiation over the operating frequency band as well.
A Review on Covid-19 Pandemic Outbreak

The emergence of SARS-COV2 from Wuhan at the end of December 2019 has spread to 200 countries is the leading cause of deaths. Belonging to be β-COV with single-strand RNA attacks the human respiratory system. The COVID-19 symptoms appear after incubation. The appearance of symptoms varies depending on the age and status of the immune system. Globally, current trials are on vaccines and focused on plasma therapy with the survivor’s plasma.
An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications

This paper discusses the development of a Symbiotic Organisms Search Algorithm (SOS) variant, called Adaptive Fuzzy SOS (FSOS). Like SOS, FSOS exploits three types of symbiosis operators namely mutualism, commensalism, and parasitism in order to undertake the search process. Unlike SOS, FSOS is able to adaptively select a single or any combination of mutualism, commensalism, and parasitism update operator(s) as the search progresses based on the current search status controlled by their individual probabilities via the fuzzy decision-making. To validate its performance, we have evaluated FSOS to solve 23 benchmark functions and take a t -way test generation as our case study. Experimental results demonstrate that FSOS exhibits competitive performance against its predecessor (SOS) and other competing metaheuristic algorithms.
Introducing TED Talks as a Pedagogical Resource in Sport Management Education through YouTube and LinkedIn

The COVID-19 pandemic has affected the educational sector, pushing it towards teaching–learning methodologies where the online aspect takes on special importance. In this sense, social media are tools that facilitate the creation of meaningful and sustainable learning environments. This study shares an educational experience where TED (Technology, Entertainment, Design) Talks are introduced as a pedagogical resource through YouTube and LinkedIn in a sport management course. A total of five TED Talks are viewed and discussed by the students in order to develop their professional profile, assisted by a set of initial questions posed by faculty. To assess the impact of the experience, a new scale is created and then validated. The analyses performed reflected the unidimensional nature of this scale, explaining the 64.36% of the variance, and presenting good psychometric properties (α = 0.95). Furthermore, the results obtained reflect the educational potential of TED Talks in the context of sport management, with increases in the averages of all the items from the scale, with significant (p < 0.05) increases in six of them. Both the new validated instrument and the shared pedagogical proposal can be valuable to guide and evaluate future educational experiences which introduce TED Talks as a pedagogical resource in sport management education.
High-speed VCSELs for short reach communication

We present the design of a high-speed 850 nm multimode vertical cavity surface-emitting laser (VCSEL) and demonstrate record performance in terms of small signal modulation bandwidth (23 GHz) and error-free operation at high bit rates (40 Gb s−1). The large bandwidth was enabled by an active region design for large differential gain and small gain compression, a low reflectivity top mirror for photon lifetime reduction and multiple oxide layers for a reduction of the capacitance. Error-free operation at 40 Gb s−1 was achieved in a back-to-back configuration with less than 0 dBm of received optical power.
Large daphniids are keystone species that link fish predation and phytoplankton in trophic cascades

Daphniids act as keystone species in lake ecosystems by controlling phytoplankton biomass and experiencing intense fish predation. However, the importance of single daphniid species as trophic links between phytoplankton and fish remains unclear, especially compared with other zooplankton taxa. To disentangle the role of individual zooplankton taxa in the food web of a large lake, we performed an in-situ mesocosm experiment with natural phytoplankton and zooplankton communities in three treatments with native, invasive or no fish predators, respectively. A large daphniid, Daphnia longispina, was the zooplankter most strongly predated by both fish species, and also had the highest top-down effects on phytoplankton. All other zooplankton taxa, including a small daphniid species, had minor roles in terms of both predation by fish and grazing on phytoplankton. We suggest that daphniid species with large body sizes can strongly link higher and lower trophic levels in lake food webs, and thus function as keystone species in trophic cascades from fish to phytoplankton.
Removal of H2S, CH3SH and (CH3)3N from air by use of chemically treated activated carbon.

Removal of H2S, CH3SH and (CH3)3N, mixed with air in a concentration range from 10 to 800 ppm at 303 K, by use of activated carbon impregnated with NaOH or Na2CO3 (IAC) or sulfonated activated carbon (SAC) was studied to obtain the basic data useful for design of a deodorization process. For the system of IAC-H2S or CH3SH, the adsorption equilibrium was of rectangular type and adsorption capacity could be increased as much as about 40 to 60 times of that of original carbon. For the system of SAC-(CH3)3N, the adsorption equilibrium obeyed the Freundlich equation and the effect of sulfonation was much larger when the concentration of (CH3)3N was lower in comparison with the original carbon. Intraparticle effective diffusivity, Dic or Diq, was determined by curve-fitting of calculated breakthrough curves with experimental ones. The value of Dic or Diq decreased with the increase of the amount impregnated or the amount of acidic functional groups (-SO3H and -COOH) introduced by sulfonation.
Modeling of Loaded Nonuniform Grid Power Distribution Network With Arbitrary Shapes

This article presents an equivalent circuit modeling method for the impedance calculation of the loaded power distribution network (PDN). The topology of the proposed equivalent circuit is based on the modal field analysis of the PDN, so that the elements in the circuit possess certain physical meaning. The element values in the equivalent circuit are extracted from a circuit perspective. Using the proposed equivalent circuit and the interpolation method, the calculation efficiency of the proposed method is greatly improved. Compared with the traditional mode method which is limited for the modeling of the regular-shaped PDN, the proposed equivalent circuit method can be used for the modeling of both grid-type and plane PDNs with nonuniform, irregular-shaped, and shorting via-loaded structures. To verify the accuracy of the proposed equivalent circuit, two different samples are simulated and fabricated, and the impedance obtained from the measurement shows good agreements with that obtained from the proposed method.
Te-RICH CANFIELDITE, Ag8Sn(S,Te)6, FROM THE LENGENBACH QUARRY, BINNTAL, CANTON VALAIS, SWITZERLAND: OCCURRENCE, DESCRIPTION AND CRYSTAL STRUCTURE

In order to evaluate the effects of Te-for-S substitution in the minerals of the argyrodite group, the crystal structure and chemical composition of a crystal of Te-rich canfieldite from the Lengenbach quarry, Binntal, Switzerland, was investigated. The unit-cell parameters are a 11.0003(6) A and V 1331.1(1) A 3 . The structure was solved and refined in the space group F 43 m to R 1 = 0.0308 for 194 independent reflections and 21 parameters. Quantitative analysis led to the chemical formula Ag 8.05 (Sn 1.03 Ge 0.01 ) ∑1.04 (S 3.95 Te 1.95 Se 0.01 ) ∑5.91 , ideally Ag 8 Sn(S,Te) 6 . The crystal structure of Te-rich canfieldite was found to be topologically identical to that of putzite, (Cu 4.7 Ag 3.3 )GeS 6 . Neglecting the short Ag-Ag contacts (due to disorder), the two Ag atoms in the structure can be considered as three-fold (Ag1) and four-fold (Ag2) coordinated. Tin adopts a regular tetrahedral coordination. The refinement of the site-occupancy factor indicates Te to be disordered over the three anion positions ( i.e., X 1, X 2, and X 3), with a preference for the X 1 site.
Text Rank for Domain Specific Using Field Association Words

Text Rank is a popular tool for obtaining words or phrases that are important for many Natural Language Processing (NLP) tasks. This paper presents a practical approach for Text Rank domain specific using Field Association (FA) words. We present the keyphrase separation technique not for a single document, although for a particular domain. The former builds a specific domain field. The second collects a list of ideal FA terms and compounds FA terms from the specific domain that are considered to be contender keyword phrases. Therefore, we combine two-word node weights and field tree rela-tionships into a new approach to generate keyphrases from a particular domain. Studies using the changed approach to extract key phrases demonstrate that the latest techniques including FA terms are stronger than the others that use normal words and its precise words reach 90%.
Transport of Trace Elements through the Hyphae of an Arbuscular Mycorrhizal Fungus into Marigold Determined by the Multitracer Technique

Abstract The contribution of the hyphae of an arbuscular mycorrhizal (AM) fungus to the uptake of traceelements by marigold (Tagetes patula L.) was studied using a multitracer consisting of radionuclides of 7Be, 22Na, 46Sc, 51Cr, 54Mn, 59Fe, 56Co, 65Zn, 75Se, 83Rb, 85Sr, 88Y, 88Zr, and 95mTc. Marigold plants colonized and not colonized with Glomus etunicatum were grown for 40 and 60 d in pots with a hyphal compartment separated from the rooting medium by a fine nylon mesh. The multitracer was applied to the hyphal compartment. We found that the uptake of 22Na, 65Zn , 75Se, 83Rb, 85Sr, and 88Y by the mycorrhizal plants was higher than that by the non-mycorrhizal ones. In the case of 95mTc, the uptake by the mycorrhizal plants was similar to that by the control ones. The radioactivity of 7Be, 46Sc, 51Cr, 54Mn, 59Fe, 56Co, and 88Zr could not be detected in any plants. Our results suggest that the AM fungus can absorb Na, Zn, Se, Rh, Sr, and Y from the soil and transport these elements to the plant through its hyphae. The transport ability of the AM fungal hyphae to plant for Be, Sc, Cr, Mn, Fe, Co, Zr, and Tc is likely to be low.
A Grand Canonical Monte Carlo Study of the Adsorption of Methane, Ethane, and Their Mixtures in One-Dimensional Nanoporous Materials

In an effort to understand the adsorption and transport of substrates in one-dimensional nanoporous materials, we use grand canonical Monte Carlo simulations to study the adsorption of methane, ethane, and their mixtures in AlPO4-5. For pure component adsorption we show that the energetically favorable ethane molecules are preferentially adsorbed at low loadings at a constant temperature. An increase in loading leads to a reversal of the adsorption preference as the entropic advantage of the smaller methane molecules begins to dominate at higher loadings. We observe a similar effect in the adsorption behavior as a function of temperature. At low temperatures the energetically favorable ethane dominates the adsorption process. However, an increase in temperature reduces the energetic advantage of ethane as more molecules explore the energetically less favorable regions, and methane is preferred at high temperatures. This reversal occurs at lower temperatures as the chemical potential of the species increas.
STATE-OF-THE-ART REVIEW OF MACHINE LEARNING APPLICATIONS TO GEOTECHNICAL EARTHQUAKE ENGINEERING PROBLEMS

In recent years there has been a proliferation in the availability of information generated across a range of engineering disciplines. Artificial intelligence techniques such as machine learning have found a wide range of applications as computationally efficient tools to reveal underlying trends in large and complex data sets. This state-of-the-art review discusses recent advances in the application of machine learning to geotechnical earthquake engineering problems. Such algorithms as Gaussian process regression, support vector machines, artificial neural networks, decision trees, random forests and their applications to this field are reviewed. Particular attention will be paid to machine learning applications for earthquake-induced soil liquefaction potential prediction, inelastic response spectra prediction, site-specific spectral acceleration prediction, dynamic soil-structure interaction, slope stability evaluation, shallow and deep foundation capacity prediction, soil and shear strength prediction. The training data set, the machine learning model configuration, the training, and the evaluation process, as well as the generalization capacity of each model, will be examined. The performance of different methods will be compared, and future research challenges will be discussed.
Distributed multi-hop routing algorithm for wireless sensor networks

In a Wireless Sensor Network (WSN), routing is the process of finding a cost effective route in terms of power consumption. As an evaluation criterion for the WSN performance, network lifetime is directly affected by the routing method. In a wide variety of WSNs, different techniques are used as routing methods, such as shortest distance path. In this paper, we propose a novel algorithm, optimizing power consumption in WSN nodes, based on the shortest path algorithm. In this approach, the energy level of nodes and their geographical distance from each other contribute to the weight of the connecting path. The proposed algorithm is used as a data dissemination method in WSNs with randomly scattered nodes. We also apply Dijkstra? s shortest path algorithm to the same networks. The results showed that the proposed algorithm increases the network lifetime up to 30 % by preventing nodes with low charge levels from early disconnection.
Screening of Factors Influencing the Adsorption of Methylene Blue Aqueous Solution onto Raw Maize Cobs Using Fractional Factorial Design

Fractional factorial design is used to identify the significant variables that have large effects on the COD reduction and decolorization of methylene blue dye aqueous solution, through adsorption process. Four factors (pH, adsorbent dosage, temperature, and contact time) were screened by using the 24 fractional factorial designs. The results showed that all the main factors have first-order interaction effects and second-order interaction effect, which were significantly affecting decolorization and COD reduction. Results obtained indicated that fractional factorial design can be used as a method to screen a large number of factors and to reduce the number of experimental runs.
FACTORS AFFECTING GREEN COSMETICS PURCHASE INTENTION

Green cosmetics recently gained much popularity, although there is still some lack of knowledge and awareness among people towards such products, especially in developing countries; nowadays, many female consumers are moving towards eco-friendly beauty products. Thus, this study aims to explore the purchase intention of female consumers in Jordan towards eco-friendly products with the effect of three selected dimensions of brand equity; which are brand awareness, brand loyalty, and perceived quality. The quantitative method was adopted to obtain the necessary information for the research; the study sample consisted of 107 female consumers, aged 20 and above. The data were collected using an online questionnaire, which was distributed on different social media platforms. SPSS software was used to analyse the collected data. The findings exhibited that all the antecedent variables had a significant positive effect on the consequent variables; further, purchase intention had the highest mean. Findings from this research could eventually furnish assistance to future and even existing cosmetics manufacturers to enhance their performance and boost sales, while keeping pace with a nation that is going green.
Evaluation of van der Waals forces between the carbon nanotube tip and gold surface under an electron microscope

Carbon nanotubes (CNTs) have been widely used as nanobuilding blocks to assemble nanostructures and nanodevices. Therefore, the interaction between a CNT and an environment is important. In the present study, the interaction forces, which consisted mainly of van der Waals forces, between a single multi-walled carbon nanotube tip and a gold surface were evaluated under a scanning electron microscope by means of nanorobotic manipulation. The influence of electron beam irradiation was also investigated. It was found that electron beam irradiation can increase the interaction forces by producing contamination at the contact area. The van der Waals forces were calculated theoretically and the theoretical values were close to the experimental values.
Experimental Determination of Ultrafine TiO 2 Deagglomeration in a Surrogate Pulmonary Surfactant: Preliminary Results

Although a number of studies have demonstrated an association between the surface area of low-solubility particles and biological response within the respiratory system, the use of agglomerated particles has led to ambiguities over the interpretation of results in many cases. A clear understanding of the role of particle size and total available surface area requires some knowledge of the degree of deagglomeration that takes place following deposition in the lungs. Samples of ultrafine TiO2 (primary particle diameter ~20 nm) have been suspended in a surrogate pulmonary surfactant, and the size distribution of the suspended particles was measured using transmission electron microscopy. Comparison with airborne particle size distributions indicates a shift in modal diameter from ~300 nm to ~100 nm following suspension in the surfactant. There was no indication of particle deagglomeration to primary particles. It is hypothesized that the manufacturing process of materials such as ultrafine TiO2 leads to the formation of primary agglomerates—clusters of primary particles held together by partial sintering—and that these represent the limit of deagglomeration following lung deposition.
Phase transition of cadmium selenide thin films in MOCVD growth process

Cadmium selenide (CdSe) thin films were fabricated on c-sapphire and GaAs (1 0 0) substrates by low pressure metal organic chemical vapour deposition. The structural properties of these CdSe thin films were investigated by x-ray diffraction and photoluminescence spectroscopy. The effects of growth temperature (Tg) on the structural phase of the CdSe thin films were discussed. Phase transition of CdSe thin films grown on sapphire substrates from zincblende (ZB) to wurtzite (W) was observed with increasing Tg, and the transition critical temperature is 440 °C. However, the CdSe films grown on GaAs (1 0 0) keep ZB form in the whole range of Tg investigated from 300 to 500 °C.
Hopping Control and Estimation for a High-performance Monopedal Robot, Salto-1P

Author(s): Yim, Justin | Advisor(s): Fearing, Ronald | Abstract: Jumping is an exciting locomotion mode that can enable small ground-based robots to maneuver around large obstacles and gaps. A high-power jumping robot can rapidly traverse obstacles, but the resulting fast and forceful stance phases are challenging for control and estimation. This dissertation presents control and estimation for precise hopping, operation using only onboard sensors, and precise leaps and balanced landings. These algorithms place an emphasis on simple models of motion to gain insights about jumping dynamics and to derive simple programs that can run on a small robot's computationally-limited onboard processor.Control and estimation algorithms are experimentally demonstrated with Salto-1P, a small 0.1 kg robot with a 0.15 m leg exhibiting a 1.83 m/s vertical jumping agility, the highest of any untethered electrically actuated robot when introduced. First, with precise foot placement, Salto-1P climbs and descends obstacles higher than its bodylength without missing a step or crashing. Second, onboard estimation of attitude and jumping velocity enable Salto-1P to operate without offboard sensing or processing and run fully autonomously or accept human guidance to hop outdoors. Finally, using high-performance balance control, Salto-1P demonstrates precisely targeted leaps and balanced landings to jump to and stand on narrow targets.
Solvent and Emulsion Extractions of Gallic Acid by Tributylphosphate: Mechanisms and Parametric Study

The aim of this paper was to study solvent extraction or liquid-liquid extraction (LLE) and extraction by emulsion (ELM) of gallic acid, a biomolecule present in many plants. A mechanism involving three tributylphosphate molecules for one molecule of undissociated gallic acid with co-extraction of water was found in LLE. ELM process is as fast as LLE and more efficient; in addition, it is more environmentally-friendly because lower extractant concentrations and smaller organic phase volumes were needed.