Miracle-dz/UniFAR-FTUs huggingface dataset:
Dentin Biomodifiers to Stabilize the Bonded Interface

Majority of esthetic restorations are currently done using resin composites. It is important to have a stable adhesion between tooth substrate and adhesive resin in order to have clinically successful composite restorations over long term. Even though adhesive systems have significantly improved, still the bonded interface remains the weakest area of resinous restorations. This has been attributed mainly to degradation of exposed collagen at the base of hybrid layer leading to deterioration of resin-dentin bond. Various dentin biomodifiers are currently under research to reduce the enzymatic breakdown of collagen and improve their mechanical stability. Dentin biomodification involves use of matrix metalloproteinase inhibitors and collagen cross linkers on acid conditioned dentin. Although only preliminary research is available, dentin biomodification appears to be a promising approach to stabilize the resin-dentin bond. This paper briefly reviews different dentin biomodifying agents, their mechanism of action and their role in improving the resin-dentin durability.
‘We Don’t Drown our Partners in a Sea of Debt’: U.S. Policy Responses to China’s Belt and Road Initiative

Whereas the Obama administration had equivocated, the Trump White House declared its vehement opposition to the Belt and Road Initiative (bri). This shift went together with the Trump administration’s designation of the People’s Republic of China (prc) as a strategic competitor and a broader deterioration in bilateral relations. However, as it began to posit alternatives to the bri, the Trump administration fell back on the policy thinking of the established foreign policy community. In doing this, it tacitly accepted the importance of soft power and the adoption of strategies requiring close cooperation with allies and partners so as to develop regional infrastructural “connectivity” projects. The White House thereby stepped back from the unilateralism, “principled realism,” and reliance upon hard power that had defined Donald J. Trump’s 2015–2016 presidential campaign. Nonetheless, U.S. efforts to develop policy alternatives to the bri were limited, unstable, and variegated. The Trump administration’s actions in other policy arenas often stymied efforts to counter the prc and initiatives such as the build Act and “Prosper Africa” received scant resources. On the basis of this policy pattern, the article argues that policy communities at times can “harness” other counter-positioned, political currents, but ongoing ideational stresses and abrasion will inevitably characterize the process.
Preparation, characterization and photocatalytic activity of Co3O4/LiNbO3 composite

AbstractThe Co3O4/LiNbO3 composites were synthesized by impregnation of LiNbO3 in an aqueous solution of cobalt nitrate and next by calcination at 400°C. The activity of produced samples has been investigated in the reaction of photocatalytic hydrogen generation. The crystallographic phases, optical and vibronic properties were studied using X-ray diffraction (XRD), diffuse reflectance (DR) UV-vis and resonance Raman spectroscopic techniques, respectively. The influence of cobalt content (range from 0.5 wt.% to 4 wt.%) on the photocatalytic activity of Co3O4/LiNbO3 composites for photocatalytic hydrogen generation has been investigated. Co3O4/LiNbO3 composites exhibited higher than LiNbO3 photocatalytic activity for hydrogen generation. The highest H2 evolution efficiency was observed for Co3O4/LiNbO3 composite with 3 wt. % cobalt content. The amount of H2 obtained in the presence of LiNbO3 and Co3O4/LiNbO3 (3 wt.% of cobalt content) was 1.38 µmol/min and 2.59 µmol min−1, respectively.
Hyperspectral Image Unmixing Method Based on Multiple Kernel Graph Non-negative Matrix Factorization

In order to improve the accuracy of non-negative matrix factorization (NMF) in hyperspectral images unmixing, this paper proposes a hyperspectral image unmixing method based on multiple kernel graph NMF. Using multiple kernel learning (MKL), the hyperspectral data is mapped to the high-dimensional feature space, so that the linearly inseparable hyperspectral data in the low-dimensional space is linearly separable. Introducing the graph regular terms that characterizes the spatial structure relationship between pixels, the internal manifold structure of the hyperspectral image is effectively expressed. The results of both simulated dataset and real dataset show that compared with other method, the proposed method can improve the unmixing accuracy.
Lista comentada de Orchidaceae en Uruguay y su distribución en ambientes y eco-regiones

Orchidaceae es una de las familias botánicas más estudiadas desde el punto de vista taxonómico y económico en el mundo. En Uruguay es poco conocida y los datos descriptivos que existen se encuentran fragmentados y dispersos. En este trabajo se presenta un inventario de la familia así como su distribución en ambientes, eco-regiones y departamentos del país basados en los registros de herbarios, publicaciones existentes y expediciones de campo realizadas durante el 2018–2019. Se presenta una lista con 59 especies en 18 géneros. Se encontraron cuatro especies endémicas de Uruguay, mientras que 22 spp. son endémicas del Cono Sur. La Cuenca Sedimentaria Gondwánica fue la eco-región en presentar mayor diversidad de especies (51%) y los departamentos con mayor riqueza fueron Cerro Largo (25 spp.) y Maldonado (25 spp.). Mientras que el Bosques Serranos y Bosque Ribereño fueron los más ricos en especies de orquídeas. Los géneros más representativos fueron Habenaria (12 spp.), Cyclopogon (8 spp.) y Brachystele (6 spp.) y las especies que presentaron distribución amplia fue Habenaria gourlieana, H. parviflora, y Cyclopogon elatus, las cuales se encontraron en todas las eco-regiones y en 15 de los 19 departamentos del país. Palabras clave: Cono Sur, Epidendroideae, Neotrópico, Orchidoideae, Sudamérica
Biomimetic Design of a Planar Torsional Spring to an Active Knee Prosthesis Actuator Using FEM Analysis.

Lower-limb prostheses have an important function to partially recover the leg movement after amputation. In order to improve the mechanical joint behavior towards a healthy human knee, compliant elements have been introduced to the active prostheses, comprised of the well-known Series Elastic Actuators (SEAs). SEAs are used in lower-limb assistive devices due to their ability to tolerate impacts and passive store mechanical energy during ground-walking. Based on the healthy human knee in the stance phase of walking, this paper brings the design, prototyping, and analysis of a customized planar torsional spring. To enhance the compliance of a rigid active knee prosthesis, the proposed spring will substitute a torque flange between the transmission and the output of the actuator, and this carries a series of constraints to the design. The finite element method (FEM) is applied to the development and exploration of the three initially proposed geometries and the material selection along with its heat treatment is based on the maximum stress obtained in the simulations. The proposed geometry, chosen by comparison of the three, is made of austempered AISI 4340 steel and using two springs in parallel and it has a torsional stiffness of 250 N.m/rad with maximum angular displacement of ± 2.5° and 0.153 kg. In future work, we intend to compare the results of the rigid actuator against the SEA one during walking over the ground.
3D Reservoir Geological Modeling Algorithm Based on a Deep Feedforward Neural Network: A Case Study of the Delta Reservoir of Upper Urho Formation in the X Area of Karamay, Xinjiang, China

Three-dimensional (3D) reservoir geological modeling is an advanced reservoir characterization method, which runs through the exploration and the development process of oil and gas fields. Reservoir geological modeling is playing an increasingly significant role in determining the distribution, internal configuration, and quality of a reservoir as well. Conventional variogram-based methods such as statistical interpolation and reservoir geological modeling have difficulty characterizing complex reservoir geometries and heterogeneous reservoir properties. Taking advantage of deep feedforward neural networks (DFNNs) in nonlinear fitting, this paper compares the reservoir geological modeling results of different methods on the basis of an existing lithofacies model and seismic data from the X area of Karamay, Xinjiang, China. Adopted reservoir geological modeling methods include conventional sequential Gaussian simulation and DFNN-based reservoir geological modeling method. The constrained data in the experiment mainly include logging data, seismic attribute data, and lithofacies model. Then, based on the facies-controlled well-seismic combined reservoir geological modeling method, this paper explores the application of multioutput DFNN and transfer learning in reservoir geological modeling. The results show that the DFNN-based reservoir geological modeling results are closer to the actual model. In DFNN-based reservoir geological modeling, the facies control effect is obvious, and the simulation results have a higher coincidence rate in a test well experiment. The feasibility of applying multioutput DFNN and transfer learning in reservoir geological modeling provides solutions for further optimization methods, such as solving small-sample problems and improving the modeling efficiency.
Antecedentes para a visitação de eventos culturais no bairro do Recife

Essa investigacao teve o proposito de mensurar qual influencia os grupos de referencia (GDR), a sensibilidade ao preco (SAP) e a identificacao (I) poderiam exercer sobre a intencao de visitar eventos culturais em espacos publicos do Bairro do Recife. Como estrategia de pesquisa foi utilizado o survey online. Um questionario estruturado foi desenvolvido, obtendo 116 respondentes, todos considerados validos para a amostra final. Os dados foram analisados com base na analise de regressao linear multipla. Assim, os construtos de identificacao (I) e grupos de referencia (GDR) influenciam positivamente na decisao de visitar eventos culturais em espacos publicos, ja o construto de sensibilidade a preco (SAP) nao exerce influencia alguma sobre a VD intencao de visitar eventos culturais em espacos publicos do Bairro do Recife. As caracteristicas do publico que frequenta o Bairro do Recife, nao sao influenciadas por aspectos financeiros, sao influenciadas por grupos de referencia e pela identificacao com a localidade. A relevância desse trabalho se encontra em sua originalidade a tematica.
Nurses’ Barriers to Incident Reporting in Patient Safety Culture: A Literature Review

Patient safety culture becomes the responsibility of every health care provider, but there are still barriers to reduce adverse events, and one of them is due to the barriers to incident reporting. This study obtained and used the databases from ProQuest, Science Direct, SAGE Publications, and EBSCOhost. The inclusion criteria were nurses and other health care providers as the sample population, barriers, factors, reporting, patient safety culture, adverse events, nurses' perception, implication, and experience. Four electronic databases were searched for data from 2016 to 2020 with English guidelines and full-text search assessed for the inclusion criteria. Fourteen articles fulfilled the inclusion criteria. The study found various barrier factors in incident reporting, including psychological problems and emotional reactions, such as shame, guilt, fatigue due to overwork, patient-nurse ratio, increased workload, insufficient time to respond the patients, lack of professionalism, medication errors, lack of resources and staff, and lack of feedback for error reporting. Personal and professional support for nurses or other health care providers is required to encourage error reporting without feeling guilty and ashamed to colleagues or feeling fearful of the supervisor in order to obtain more accurate data and improve the process that support patient safety and nurses’ self-awareness.
Thermal trait variability of the kelp Laminaria digitata across populations and life cycle stages

Along temperate to polar rocky shorelines, large brown algae known as kelps form marine forests which provide a three-dimensional habitat for many associated species. Ocean warming is posing an increasing threat to kelps at their warm distributional edges and first range shifts have been recorded. For these sessile species unable to migrate, trait variability due to phenotypic plasticity and genetic variation is an important mechanism of response to environmental change. The aim of this thesis was to produce a comprehensive assessment of the variation and plasticity of thermal traits across populations and life cycle stages of a keystone marine forest species, the cold-temperate to Arctic kelp Laminaria digitata. Using physiological response parameters, population genetics and transcriptomics, I present evidence for four levels of thermal trait variability in a marine forest key species. I describe (1) genetic and physiological differentiation along the species' distribution range, (2) genetic variation for phenotypic plasticity among genotypes, (3) carry-over effects over reproduction and individual ontogeny, and (4) the production of new phenotypes by outbreeding among distant lineages. Integrating these responses into a framework of seasonal temperature variation and predictions of ocean warming showed that L. digitata, as a species with a cold-temperate thermal profile, is adapted well to the current conditions along its distributional range, but may not be equipped to respond to rapid climate change at its warm range edges. The concepts investigated in this thesis provide further insight into trait variability as a mechanism of marine forest resilience and offer intriguing features for mariculture and conservation efforts.
An Empirical Study on the Characteristics and Influencing Factors of College Students’ English Classroom Anxiety

In recent years, with the deepening of college English curriculum reform, the unreasonable teaching methods, the incorrect learning strategies, examination pressure and learning burden and the students’ cultural differences make college students more and more anxious about English learning. English learning anxiety is one of the biggest mental handicaps which hinder the students’ English learning and its bad effects cannot be neglected. In this article, the author conducts a questionnaire survey on the students about English learning anxiety among college non-English majors and use SPSS 22 software for statistical analysis. It aims at giving guidelines for the teachers to adopt correct teaching methods so that they can help to improve teaching, release the college students’ English learning anxiety and improve the students’ English performances.
Impact of Direct Seeded Rice on Farm Profitability and Technical Efficiency: An Evidence from Karnataka

The Agricultural sector has the moral responsibility in food and nutritional security and in consonance with preserving the ecosystem. India achieved self-sufficiency in rice production. In fact, rice production is reached about 201 million tons in 2020 since it is an important staple food crop of about 70 % of the population. However, consumption of rice increased greater phase than that of production in the last decade. It was mainly due to decline in the productivity level. The Food and Agricultural Organisation (FAO) estimate suggest the rice production would be augmented through improvement in productivity level amidst deteriorating water table and vagaries of monsoon and in coupled with labour scarcity.
Kinetic, thermodynamic, and equilibrium biosorption of Pb(II), Cu(II), and Ni(II) using dead mushroom biomass under batch experiment

ABSTRACT In this study, a low-cost biosorbent, dead mushroom biomass (DMB) granules, was used for investigating the optimum conditions of Pb(II), Cu(II), and Ni(II) biosorption from aqueous solutions. Various physicochemical parameters, such as initial metal ion concentration, equilibrium time, pH value, agitation speed, particles diameter, and adsorbent dosage, were studied. Five mathematical models describing the biosorption equilibrium and isotherm constants were tested to find the maximum uptake capacities: Langmuir, Freundlich, Redlich-Peterson, Sips, and Khan models. The best fit to the Pb(II) and Ni(II) biosorption results was obtained by Langmuir model with maximum uptake capacities of 44.67 and 29.17 mg/g for these two ions, respectively, whereas for Cu(II), the corresponding value was 31.65 mg/g obtained with Khan model. The kinetic study demonstrated that the optimum agitation speed was 400 rpm, at which the best removal efficiency and/or minimum surface mass transfer resistance (MSMTR) was achieved. A pseudo-second-order rate kinetic model gave the best fit to the experimental data (R2 = 0.99), resulting in MSMTR values of 4.69× 10−5, 4.45× 10−6, and 1.12× 10−6 m/s for Pb(II), Cu(II), and Ni(II), respectively. The thermodynamic study showed that the biosorption process was spontaneous and exothermic in nature.
Fiberglass wick sampler effects on measurements of solute transport in the vadose zone

Fiberglass wick samplers are being evaluated by scientists to determine their effectiveness as soil pore water samplers. Part of this evaluation requires knowledge of the effects that the sampler itself has on the transport of the chemicals being sampled. Tracer (FD&C Blue Dye no. 1) tests were conducted to determine the dispersivities of clean 55-cm-long fiberglass wicks that could be used for sampling soil pore water. The tracer breakthrough data fit the convective-dispersive equation solution well (R 2 > 0.984) and resulting dispersivity estimates ranged from 0.59 to 4.3 cm. A finite difference model was used to simulate chemical transport through a soil and wick sampler system. The simulation results show that, for a 55-cm-long wick that samples 100 cm 2 in soil types with sand or silt characteristics, the additional travel time and dispersion are negligible. This was determined by comparing the chemical breakthrough curve predicted at the bottom of a 100-cm soil column to that predicted at the bottom of a sampling wick (at sample collection bottle). This result is expected since the water flux through a wick is usually much larger than in the soil (a single wick may intercept flow from up to 900 cm 2 of soil and typically has an area under 5 cm 2 ).
C-Reactive Protein in Cardiovascular Disease

C-Reactive Protein in Cardiovascular Disease Iddah, M. Ali, Benard O. Wesonga Department of Medical Microbiology and Parasitology, School of Medicine, Masinde Muliro University of Science and Technology, P.O. Box 190-50100, Kakamega, Kenya Departments of Community Health and Behavoural Sciences, School of Medicine, Masinde Muliro University of Science and Technology P.O. Box 190-50100, Kakamega, Kenya
The Effect Of Firm Size, Profitability and Leverage on Firm Value (Study on Manufacturing Companies Sector Consumer Goods Industry Listed in Indonesian Stock Exchange Period 2017-2019)

- This research's purpose is to examine the effect of firm size, profitability, and leverage on firm value. The population of this research are companies in the consumer goods sector registered at Indonesia Stock Exchange in 2017-2019, and the sample size was 33 companies selected by saturated sampling technique. Multiple regression analysis will be used as a data analysis technique. Based on the results, it is found that firm size, profitability, and leverage has a positive and significant effect in firm value in companies in the consumer goods sector listed on the Indonesia Stock Exchange (IDX) 2017-2019.
Zinc Hinders Deactivation of Copper-Mordenite: Dimethyl Ether Carbonylation

A plethora of previously unimaginable low-temperature C1 and C2 valorization reactions have become possible after the discovery of metal-exchanged solid-acid catalysts, with the most promising candidate being copper-mordenite. We show the dramatic effect of zinc addition to copper-exchanged mordenite in maintaining high Cu dispersion and reducing the catalyst poisoning as it relates to carbonylation of dimethyl ether to methyl acetate. Zinc maintains 90%+ selectivity even during deactivation versus 60% for the Cu-mordenite, which leads to 6-fold higher product yield. The concept of Zn addition is recommended for further exploration in the conversion of methane to methanol or acetic acid.
Finely dispersed silicon carbide synthesis model in the electrothermal reactor with periodic batch loading

Fine silicon carbide is used in metallurgy, electronic devices and the aviation industry. Reactors where the synthesis of finely dispersed carbides is organized in an electrothermal fluidized bed (ETKS reactors) have several advantages over resistance furnaces used for mass production of carbides. The basic advantage is the direct production of a finely dispersed fraction of carbide-containing particles with lower specific costs of electric energy. In this article, there were studied non-stationary processes in an ETKS reactor operating in the mode of periodic loading into the reaction volume of components of chemical reactions for the synthesis of silicon carbide: finely dispersed carbon-containing particles and SiO2 particles (batch). A mathematical model of synthesis for non-stationary conditions is developed. Relations are obtained for calculating changes in the process of silicon carbide synthesis not only of the sizes of solid (liquid) particles participating in chemical reactions, but also of the concentrations of volatile components that affect the rates of these reactions in the working volume of the ETKS reactor. There were carried out calculations to identify the influence of determining factors on the yield of the final product and the analysis of these results. A comparison of the calculation results with the available experimental data on the yield of silicon carbide in an ETKS reactor with a periodic charge loading was presented.