Miracle-dz/UniFAR-FTUs huggingface dataset:
Porous Titanium Coatings Obtained by Electrophoretic Deposition (EPD) of Pickering Emulsions and Microwave Sintering

Porous titanium coatings on dense Ti6A14V substrates were made by electrophoretic deposition (EPD) of titanium particle stabilized Pickering emulsions. The samples were consecutively dried and microwave sintered in helium to prevent oxidation. The obtained coatings have a thickness ranging from 50 to 250 μm with open spherical macropores in the 20 to 200 μm range.
Kahweol inhibits adipogenesis of 3T3-L1 adipocytes through downregulation of PPARγ

Abstract Kahweol, a compound from Coffea arabica, possesses antioxidant, anti-inflammatory, and antitumour properties. However, an anti-adipogenic effect has not yet been reported. In this study, we have shown that kahweol has an anti-adipogenic effect on 3T3-L1 adipocytes. Kahweol significantly inhibited the differentiation of intracellular lipid accumulation in 3T3-L1 adipocytes, without being cytotoxic. It also downregulated the expression of adipogenesis-related gene, including an adipocytokine, adiponectin. This anti-adipogenic effect stems from an ability to inhibit key adipogenic regulators, including PPARγ and C/EBPα. These results demonstrate that kahweol significantly inhibits the differentiation of 3T3-L1 cells, and suggest that it has potential as a novel anti-obesity treatment.
An examination of the language construct in NIMH's research domain criteria: Time for reconceptualization!

The National Institute of Mental Health's Research Domain Criteria (RDoC) Initiative “calls for the development of new ways of classifying psychopathology based on dimensions of observable behavior. ” As a result of this ambitious initiative, language has been identified as an independent construct in the RDoC matrix. In this article, we frame language within an evolutionary and neuropsychological context and discuss some of the limitations to the current measurements of language. Findings from genomics and the neuroimaging of performance during language tasks are discussed in relation to serious mental illness and within the context of caveats regarding measuring language. Indeed, the data collection and analysis methods employed to assay language have been both aided and constrained by the available technologies, methodologies, and conceptual definitions. Consequently, different fields of language research show inconsistent definitions of language that have become increasingly broad over time. Individually, they have also shown significant improvements in conceptual resolution, as well as in experimental and analytic techniques. More recently, language research has embraced collaborations across disciplines, notably neuroscience, cognitive science, and computational linguistics and has ultimately re‐defined classical ideas of language. As we move forward, the new models of language with their remarkably multifaceted constructs force a re‐examination of the NIMH RDoC conceptualization of language and thus the neuroscience and genetics underlying this concept. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
Impression or expression? The influence of self-monitoring on the social modulation of motor contagion

Social primes (pro-social, anti-social) can modulate mimicry behaviour. To date, these social modulation effects have been explained by the primed incentive to affiliate with another (Social Top-Down Response Modulation; STORM) and the primed active-self-concept leading to behaviour that is either consistent or inconsistent with the primed-construct (Active-Self account). This study was designed to explore the explanatory power of each of these accounts and thereby gain a greater understanding of how social modulation unfolds. To do this, we assessed social modulation of motor contagion in individuals high or low in self-monitoring. It was reasoned that high self-monitors would modulate mimicry according to the primed social incentive, whereas low self-monitors would modulate according to the primed active-self-concept. Participants were primed with a pro-social and anti-social cue in the first-person and third-person perspective. Next, they completed an interpersonal observation–execution task featuring the simultaneous observation and execution of arm movements that were either congruent or incongruent to each other. Results showed increased incongruent movement deviation (motor contagion) for the anti-social compared to the pro-social prime in the high self-monitors only. Findings support the STORM account of mimicry by showing observers modulate behaviour based on the social incentive underpinning an interpersonal exchange.
Pembrolizumab use for the treatment of advanced melanoma

ABSTRACT Introduction: Until recently, overall long term survival in patients with stage IV melanoma was lower than 10%. However, the treatment of melanoma has evolved rapidly over the last few years, with the advent of inhibitors of BRAF and MEK and of immunotherapeutic agents including ipilimumab, nivolumab, and pembrolizumab. Areas covered: This is a comprehensive review of the literature on the role of pembrolizumab in melanoma. Pembrolizumab is a Programmed Death Receptor 1 (PD-1) directed monoclonal antibody which is approved by FDA and EMA for the treatment of patients with metastatic melanoma. Expert opinion: Phase II and III trials demonstrated that pembrolizumab is superior to ipilimumab in previously untreated patients and to chemotherapy in ipilimumab pre-treated patients. Unfortunately, prospectively validated predictive markers are lacking. Immune-related adverse events are particularly interesting and should be managed per the published guidelines. There are still many issues that remain unresolved including: when to stop treatment, biomarkers for choosing a single agent or combination therapy, the optimal schedule of ipilimumab in combination with anti-PD1 monoclonal antibodies, optimal management of adverse events, the role of immunotherapy in specific populations, the optimal sequence of immunotherapy and the BRAF/MEK inhibitor combination in patients.
Identification and in vitro antioxidant activities of phenolic compounds isolated from Cynoglossum cheirifolium L.

Abstract In an extensive search for bioactive compounds from plant sources, the quantitative and qualitative characterisation of the compounds present in Cynoglossum cheirifolium extracts was studied. Total phenolic and flavonoid contents were determined by spectrophotometric techniques. In vitro antioxidant and radical scavenging profiling was determined through DPPH• scavenging activity and Ferric reducing antioxidant power (FRAP). Our study showed that leaves produce more phenolic compounds, followed by flowering aerial part. The butanolic fraction obtained from leaves extract exhibited the highest total phenolics (78.65 ± 3.58 mg GAE/g DW) and flavonoids (22.15 ± 4.66 mg CE/g DW). In contrast, this fraction displayed the highest DPPH• scavenging ability with IC50 values of 0.06 ± 0.003 mg/mL. The RP-HPLC-PDA analysis of phenolic compounds from leaves of C. cheirifolium lets to identify: rosmarinic acid, ferulic acid, caffeic acid, p-coumaric acid, syringic acid, sinapic acid and rutin. The obtained results indicate that this plant represent a valuable source of natural antioxidants.
Limited English Proficient Patients’ Perceptions of when Interpreters are Needed and how the Decision to Utilize Interpreters is Made

ABSTRACT Our objective was to describe when Hmong- and Spanish-speaking limited English proficient (LEP) patients perceive an interpreter was needed and how they perceive the decision to utilize an interpreter is made in a health care encounter. We interviewed a total of 20 LEP patients. We used a number of strategies to recruit LEP patients including posting language-appropriate flyers at clinics, sending letters to LEP patients and asking our participants to refer their family and friends to participate in our study. Tape-recorded interviews were transcribed, translated, and systematically coded using directed content analysis. Patients identified two factors that influenced LEP Hmong-and Spanish-speaking patients’ perception of when interpreters were needed are as follows: (1) their self-identified level of English proficiency and (2) the anticipated complexity of the health care communication. They described three factors that they perceived influenced the decision to utilize interpreters: (1) their self-identified level of English proficiency, (2) access to interpreters; and (3) health system automation of interpreter use. The findings show that patients consider a wide variety of factors when determining if an interpreter is necessary and how the decision to utilize interpreters is made. Given that health care decision making is complex, healthcare systems need to do more to help educate LEP patients of the importance of utilizing interpreters in all healthcare encounters. Additionally, future research should to explore how patients conceptualize the need for and utilization of interpreters in order to provide LEP patients with linguistically appropriate care in ways that are sensitive to their perceptions and needs.
Factors affecting disclosure of personal health information via mobile application

This study explored the factors that affect personal health information (PHI) disclosure via a mobile application (app) in Thailand. Since mobile apps are increasingly popular, as is the Thai people's concern on their health condition, many mobile app service providers want to know which factors would persuade customers to reveal their PHI via mobile apps. This research model was, therefore, developed and included the six factors of: personalized service, self-presentation, mobile app reputation, familiarity, perceived benefits and privacy concerns. The hypotheses were tested by structural equation modeling using the questionnaire responses from 252 valid subjects. Surprisingly, privacy concern was not significantly negatively related to the intention to disclose PHI. However, the significance effect of the perceived benefit, personalized service and self-presentation were consistent with previous studies. The implication of the result will shed light on the development of healthcare mobile apps.
Embedded Multimaterial Extrusion Bioprinting

Embedded extrusion bioprinting allows for the generation of complex structures that otherwise cannot be achieved with conventional layer-by-layer deposition from the bottom, by overcoming the limits imposed by gravitational force. By taking advantage of a hydrogel bath, serving as a sacrificial printing environment, it is feasible to extrude a bioink in freeform until the entire structure is deposited and crosslinked. The bioprinted structure can be subsequently released from the supporting hydrogel and used for further applications. Combining this advanced three-dimensional (3D) bioprinting technique with a multimaterial extrusion printhead setup enables the fabrication of complex volumetric structures built from multiple bioinks. The work described in this paper focuses on the optimization of the experimental setup and proposes a workflow to automate the bioprinting process, resulting in a fast and efficient conversion of a virtual 3D model into a physical, extruded structure in freeform using the multimaterial embedded bioprinting system. It is anticipated that further development of this technology will likely lead to widespread applications in areas such as tissue engineering, pharmaceutical testing, and organs-on-chips.
Codesign Strategy based upon Takagi Sugeno Control Design and Real-Time Computing Integration

Nowadays the idea of network control systems design considering the restriction results from schedulling analysis becomes a challenge based upon the persepctive of codesign point view since both analytic tools are pursued. A clear strategy is to define in cascade mode the scheduling analysis and afterwards the stability analysis of the respective control strategy. However, any modification in both structures has an integrated impact which is necessary to measure. In that respect the use of time delay impact is a suitable strategy to be followed and is explored in this paper. The use of codesign is to pursuit as a two objective strategy the definition of a valid metric that represents the effects in both, following the idea that stability analysis is affected according to the schedullability analysis. In both analysis a relaxation at the local conditions is feasible but it will have a global cost giving a non valuable approximation.
Super-blockers and the Effect of Network Structure on Information Cascades

Modelling information cascades over online social networks is important in fields from marketing to civil unrest prediction, however the underlying network structure strongly affects the probability and nature of such cascades. Even with simple cascade dynamics the probability of large cascades are almost entirely dictated by network properties, with well-known networks such as Erdos-Renyi and Barabasi-Albert producing wildly different cascades from the same model. Indeed, the notion of 'superspreaders' has arisen to describe highly influential nodes promoting global cascades in a social network. Here we use a simple model of global cascades to show that the presence of locality in the network increases the probability of a global cascade due to the increased vulnerability of connecting nodes. Rather than 'super-spreaders', we find that the presence of these highly connected 'super-blockers' in heavy-tailed networks in fact reduces the probability of global cascades, while promoting information spread when targeted as the initial spreader.
Building a Corpus of Phrases Related to Learning for Sentiment Analysis

Learning-centered emotions unlike basic emotions emerge during deep learning activities and they have an important relation to cognitive processes of students. In this paper we present the creation process of a corpus of phrases (opinions) related to learning computer programming. Opinions (textual phrases), are categorized in different emotions related to learning such as frustrated, bored, neutral, excited, and engaged. The main contribution of this work is the creation of the corpus of sentences related to learning in Spanish that can be used to analyze text dialogs in order to detect the student’s emotions and improve the teaching process adapting the content to the cognitive needs and also, to the affective state of the student. We present the study and the results obtained about the corpus of textual opinions.
Statin in the treatment of patients with myocardial infarction

Abstract The purpose of this meta-analysis is to investigate whether statin is a key therapy for myocardial infarction (MI) by comparing all randomized controlled trials that appraised the effects of statin on risk of MI. Pubmed, Embase, and Medline databases (up to December 2016) were used to search all related articles. Using the data from 18 available publications, we examined the efficacy in treating or reducing the risk of MI by using random-effects models of odds ratio (OR) comparing the highest with the lowest category. Statins have demonstrated efficacy in treating or reducing the risk of MI (OR = 0.73, 95% confidence interval = 0.58–0.93, P = .010). This meta-analysis suggests that statin have light efficacy in treating or reducing the risk of MI patients.
Experimental modeling of weld thermal cycle of the heat affected zone (HAZ)

J. Kulhánek, P.Tomčík, R.Trojan, M. Juránek, P.Klaus, Faculty of Metallurgy and Materials Engineering, VŠB-Technical University of Ostrava, Czech Republic Contribution deals with experimental modeling of quick thermal cycles of metal specimens. In the introduction of contribution will be presented measured graphs of thermal cycle of heat affected zone (HAZ) of weld. Next will be presented experimental simulation of measured thermal cycle on the standard specimens, useable for material testing. This approach makes possible to create material structures of heat affected zone of weld, big enough for standard material testing.
Characterization of exfoliated graphite nanoplatelets/polycarbonate composites: electrical and thermal conductivity, and tensile, flexural, and rheological properties

Exfoliated graphite nanoplatelets (GNP) can be added polymers to produce electrically conductive composites. In this study, varying amounts (2–15 wt%) GNP were added to polycarbonate (PC) and the resulting composites were tested for electrical conductivity (1/electrical resistivity), thermal conductivity, and tensile, flexural, and rheological properties. The percolation threshold was approximately 4.0 vol% (6.5 wt%) GNP. The addition of GNP to polycarbonate increased the composite electrical and thermal conductivity and tensile and flexural modulus. The 8 wt% (5.0 vol%) GNP in polycarbonate composite had a good combination of properties for electrostatic dissipative applications. The electrical resistivity and thermal conductivity were 4.0 × 107 ohm-cm and 0.37 W/m · K, respectively. The tensile modulus, ultimate tensile strength, and strain at ultimate tensile strength were 3.5 GPa, 58 MPa, and 3.5%, respectively. The flexural modulus, ultimate flexural strength, and strain at ultimate flexural strength were 3.6 GPa, 108 MPa, and 5.5%, respectively. Ductile tensile behavior is noted in pure polycarbonate and in samples containing up to 8 wt% GNP. PC and GNP/PC composites show shear-thinning behavior. Viscosity of the composite increased as the amount of GNP increased dueto a volume-filling filler effect. The viscosity of the GNP/PC composites are well described by a Kitano-modified Maron-Pierce model.
Potential Herb-Drug Pharmacokinetic Interactions between African Wild Olive Leaf Extract and Selected Antihypertensive Drugs

Abstract The African wild olive (Olea europaea subsp. africana) is traditionally used as a hypotensive agent. Herb-drug interactions may result from the concurrent use of herbal medicines and conventional prescription drugs. This aspect was investigated by determining the effect of the extract on the in vitro intestinal epithelial permeation of selected hypotensive drugs using the Caco-2 cell culture model. The phytochemical profiles of leaf extracts of African wild olive from different localities in South Africa were compared, since efficacy is determined by the chemical composition. Extracts were analysed using ultra-performance liquid chromatography. The oleuropein concentration varied considerably from below the detection limit (4.94 µg/mL) to 59.4 mg/g dry weight. Chemometric models constructed from the aligned chromatographic data indicated only quantitative differences between the profiles. The leaf extract was found to increase the permeability of propranolol in the absorptive direction (Papp = 8.93 × 10−6 cm/s) across Caco-2 cell monolayers, but considerably decreased transport in the secretory direction (Papp = 3.68 × 10−6 cm/s). The permeation of diltiazem was enhanced by the extract in both the absorptive (Papp = 7.33 × 10−6 cm/s) as well as in the secretory direction (Papp = 7.16 × 10−6 cm/s), but a decrease in the efflux ratio was observed. The extract therefore caused a net increase in the transport of both drugs in the absorptive direction due to an inhibition effect on their efflux. This suggests a potential increase in the blood levels of these drugs when taken simultaneously with African wild olive leaf extract, indicating potential adverse effects that must be verified in vivo.
Implicit Positivity-Preserving High-Order Discontinuous Galerkin Methods for Conservation Laws

Positivity-preserving discontinuous Galerkin (DG) methods for solving hyperbolic conservation laws have been extensively studied in the last several years, but nearly all the developed schemes are coupled with explicit time discretizations. Explicit discretizations suffer from the constraint for the Courant--Friedrichs--Lewy (CFL) number. This makes explicit methods impractical for problems involving unstructured and extremely varying meshes or long-time simulations. Instead, implicit DG schemes are often popular in practice, especially in the computational fluid dynamics (CFD) community. In this paper we develop a high-order positivity-preserving DG method with the backward Euler time discretization for conservation laws. We focus on one spatial dimension. However, the result easily generalizes to multidimensional tensor product meshes and polynomial spaces. This work is based on a generalization of the positivity-preserving limiters in [X. Zhang and C. -W. Shu, J. Comput. Phys., 229 (2010), pp. 3091--312.
Diagnostics for censored mixed-effects models using the multivariate t-distribution

In biomedical studies on HIV RNA dynamics, the viral loads ge nerate repeated measures that are often subjected to (upper and lower) detection limi ts, and hence these responses are either leftor right-censored. Linear and non-linear mixe d-effects censored (LMEC/NLMEC) models are routinely used to analyze these longitudinal dat a, wi h normality assumptions for the random effects and residual errors. However, the derive d inference may not be robust when these underlying normality assumptions are questiona ble, specially presence of outliers and thick-tails. Motivated by this, Matos et al. (2013b) re cently proposed an exact EMtype algorithm for LMEC/NLMEC models using a multivariate S tudent’s-t distribution, with closed-form expressions at the E-step. In this paper, we dev lop influence diagnostics for LMEC/NLMEC models using multivariate Student’sdensity, based on the conditional expectation of the complete data log-likelihood which elimin ates the complexity associated with the approach of Cook (1977, 1986) for censored mixed-effect s models. The new methodology is illustrated through an application to a longitudin al HIV dataset using the NLMEC framework. In addition, a simulation study is presented, wh ich explores the accuracy of the proposed measures in detecting influential observations in heavy-tailed censored data under different perturbation schemes.
Micromachining off111g plates in h001i oriented silicon

We introduce a new way to micromachineh111i oriented plates onh001i silicon wafers by anisotropic wet chemical etching. The process involves double-sided wafer-processing. Precision alignment, however, is only required at one side. There are basically two ways to etch silicon: dry and wet chemical etching. In micromachining, the control of the shape of the structure is accomplished by anisotropic etching through mask openings. The anisotropy of wet chemical etching is related to the crystal structure of silicon, while that of dry etching stems from the momentum of ions impinging the substrate. The latter gives us much more freedom of design, however, the control of dry etching is much more cumbersome and the equipment much more expensive. Therefore, any new process trick to increase the number of geometries that can be obtained by wet chemical anisotropic etching is of interest. In this paper, techniques are demonstrated to etch thin f111g plates inh100i silicon. These plates can be used as building blocks in, for example, microfluidic systems for valves and pumps. All micromaching processes described in this paper are accomplished in 25 wt% KOH at 78C.