Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporal Processing of Joyful and Disgusting Food Pictures by Women With an Eating Disorder

The present study used the presentation of food pictures and judgements about their duration to assess the emotions elicited by food in women suffering from an eating disorder (ED). Twenty-three women diagnosed with an ED, namely anorexia (AN) or bulimia nervosa (BN), and 23 healthy controls (HC) completed a temporal bisection task and a duration discrimination task. Intervals were marked with emotionally pre-rated pictures of joyful and disgusting food, and pictures of neutral objects. The results showed that, in the bisection task, AN women overestimated the duration of food pictures in comparison to neutral ones. Also, compared to participants with BN, they perceived the duration of joyful food pictures as longer, and tended to overestimate the duration of the disgusting ones. These effects on perceived duration suggest that AN women experienced an intense reaction of fear when they were confronted to food pictures. More precisely, by having elevated the arousal level and activated the defensive system, food pictures seemed to have speeded up the rhythm of the AN participants’ internal clock, which led to an overestimation of images’ duration. In addition, the results revealed that, in both tasks, ED women presented a lower temporal sensitivity than HC, which was related to their ED symptomatology (i.e., BMI, restraint and concern) and, particularly, to their weaker cognitive abilities in terms of attention, processing speed and working memory. Considered all together, the findings of the present experiment highlight the role of fear and anxiety in the manifestations of AN and point out the importance of considering non-temporal factors in the interpretation of time perception performance.
Development of Azeliragon, an Oral Small Molecule Antagonist of the Receptor for Advanced Glycation Endproducts, for the Potential Slowing of Loss of Cognition in Mild Alzheimer’s Disease

Increasing evidence supports the role of the Receptor for Advanced Glycation Endproducts (RAGE) in the pathology of Alzheimer’s disease. Azeliragon (TTP488) is an orally bioavailable small molecule inhibitor of RAGE in Phase 3 development as a potential treatment to slow disease progression in patients mild AD. Preclinical studies in animal models of AD (tgAPPSwedish/London) have shown azeliragon to decrease Aβ plaque deposition; reduce total Aβ brain concentration while increasing plasma Aβ levels; decreases sAPPβ while increasing sAPPα; reduce levels of inflammatory cytokines; and slow cognitive decline and improve cerebral blood flow. In the Phase 2b study, 18-months treatment in patients with mild-to-moderate AD indicated a baseline to endpoint change in ADAS-cog of 3.1 points in favor of drug. A greater magnitude of effect was evident in the sub-group of patients with mild AD (MMSE 21-26) with a baseline to endpoint change of 4 points on the ADAS-cog in favor of azeliragon and a 1 point change in CDR-sb in favor of drug. Azeliragon 5 mg/day delayed time to cognitive deterioration (7-point change in ADAS-cog from baseline, logrank p=0.0149). Based on promising results from the Phase 2b study, a Phase 3 registration program (STEADFAST) is being conducted under a Special Protocol Assessment from FDA. The ongoing Phase 3 program, if successful may demonstrate azeliragon can slow cognitive decline in mild AD patients.
PSD-95 stabilizes NMDA receptors by inducing the degradation of STEP61

Significance NMDA receptors (NMDARs) are principal regulators of synaptic signaling in the brain. Modulation of NMDARs’ function and trafficking is important for the regulation of synaptic transmission and several forms of synaptic plasticity. Postsynaptic density protein 95 (PSD-95) acts as a scaffolding protein and stabilizes the surface and synaptic expression of NMDARs, whereas striatal-enriched protein tyrosine phosphatase (STEP), a brain-specific protein tyrosine phosphatase, dephosphorylates and destabilizes NMDARs via endocytosis. We now demonstrate that PSD-95 binds to STEP61 and promotes its degradation via the proteasome, thereby stabilizing surface expression of NMDARs. We have revealed a dynamic role for PSD-95 in sculpting protein content at excitatory synapses that is distinct from its canonical role as a scaffolding protein. Phosphorylation regulates surface and synaptic expression of NMDA receptors (NMDARs). Both the tyrosine kinase Fyn and the tyrosine phosphatase striatal-enriched protein tyrosine phosphatase (STEP) are known to target the NMDA receptor subunit GluN2B on tyrosine 1472, which is a critical residue that mediates NMDAR endocytosis. STEP reduces the surface expression of NMDARs by promoting dephosphorylation of GluN2B Y1472, whereas the synaptic scaffolding protein postsynaptic density protein 95 (PSD-95) stabilizes the surface expression of NMDARs. However, nothing is known about a potential functional interaction between STEP and PSD-95. We now report that STEP61 binds to PSD-95 but not to other PSD-95 family members. We find that PSD-95 expression destabilizes STEP61 via ubiquitination and degradation by the proteasome. Using subcellular fractionation, we detect low amounts of STEP61 in the PSD fraction. However, STEP61 expression in the PSD is increased upon knockdown of PSD-95 or in vivo as detected in PSD-95–KO mice, demonstrating that PSD-95 excludes STEP61 from the PSD. Importantly, only extrasynaptic NMDAR expression and currents were increased upon STEP knockdown, as is consistent with low STEP61 localization in the PSD. Our findings support a dual role for PSD-95 in stabilizing synaptic NMDARs by binding directly to GluN2B but also by promoting synaptic exclusion and degradation of the negative regulator STEP61.
Description of Scheffersomyces henanensis sp. nov., a New D-Xylose-Fermenting Yeast Species Isolated from Rotten Wood

Two strains of a D-xylose-fermenting yeast species were isolated from rotten wood samples collected from the Baotianman Nature Reserve in Henan Province, central China. These strains formed hat-shaped ascospores in conjugated and deliquescent asci. Multilocus phylogenetic analysis that included the nearly complete small subunit (SSU), the internal transcribed spacer (ITS) region and the D1/D2 domain of the large subunit (LSU) rRNA genes, as well as RNA polymerase II largest subunit (RPB1) gene demonstrated that the two strains represent a novel yeast species closely related to Scheffersomyces segobiensis. A sequence comparison of xylose reductase (XYL1) gene, which was recently recommended for rapid identification of cryptic species in the Scheffersomyces clade, revealed a significant sequence divergence of 25 nucleotides between the novel strains and their closest relative S. segobiensis, supporting their classification as a distinct species. Furthermore, these new strains can be clearly distinguished from S. segobiensis by a number of morphological and physiological characteristics. Therefore, a novel yeast species, Scheffersomyces henanensis sp. nov., is proposed to accommodate these strains. The type strain is BY-41T ( = CICC 1974T = CBS 12475T).
Langley Research Center - Soluble Imide (LaRC-SI)

This report is about experimenting and developing uses for the new thermal plastic developed by Dr. Robert Bryant called the 'Langley Research Center - Soluble Imide' (LaRC-SI). The three developments are: the use of the LaRC-SI as a dielectric for thin film sensors, as an adhesive to place diamonds on surfaces to increase thermal conductivity, and as an intermediate layer to allow the placement of metal on aluminum nitride. The LaRC-SI was developed by Dr. Robert G. Bryant, a chemical engineer at NASA Langley Research Center. The unique properties of this material is that it is an amorphous thermoplastic. This means that it can be reformed at elevated temperature and pressures. It can be applied in the form of a spray, spin, dip coating, paint, or spread with a doctors blade. The LaRC-SI has excellent adhesive and dielectric properties. It can also be recycled. Potential applications for this material are resin for mechanical parts such as gears, bearings and valves, advanced composites like carbon fiber, high strength adhesives, thin film circuits, and as a dielectric film for placing electrical components on conductive materials.
Structural damage detection by principle component analysis of long-gauge dynamic strains

A number of acceleration-based damage detection methods have been developed but they have not been widely applied in engineering practices because the acceleration response is insensitive to minor damage of civil structures. In this article, a damage detection approach using the long-gauge strain sensing technology and the principle component analysis technology is proposed. The Long gauge FBG sensor has its special merit for damage detection by measuring the averaged strain over a long-gauge length, and it can be connected each other to make a distributed sensor network for monitoring the large-scale civil infrastructure. A new damage index is defined by performing the principle component analyses of the long-gauge strains measured from the intact and damaged structures respectively. Advantages of the long gauge sensing and the principle component analysis technologies guarantee the effectiveness for structural damage localization. Examples of a simple supported beam and a steel stringer bridge have been investigated to illustrate the successful applications of the proposed method for structural damage detection.
Giants, Dwarfs and the Environment – Metamorphic Trait Plasticity in the Common Frog

In order to understand adaptation processes and population dynamics, it is central to know how environmental parameters influence performance of organisms within populations, including their phenotypes. The impact of single or few particular parameters in concert was often assessed in laboratory and mesocosm experiments. However, under natural conditions, with many biotic and abiotic factors potentially interacting, outcomes on phenotypic changes may be different. To study the potential environmental impact on realized phenotypic plasticity within a natural population, we assessed metamorphic traits (developmental time, size and body mass) in an amphibian species, the European common frog Rana temporaria, since a) larval amphibians are known to exhibit high levels of phenotypic plasticity of these traits in response to habitat parameters and, b) the traits' features may strongly influence individuals' future performance and fitness. In 2007 we studied these metamorphic traits in 18 ponds spread over an area of 28 km2. A subset of six ponds was reinvestigated in 2009 and 2010. This study revealed locally high variances in metamorphic traits in this presumed generalist species. We detected profound differences between metamorphing froglets (up to factor ten); both between and within ponds, on a very small geographic scale. Parameters such as predation and competition as well as many other pond characteristics, generally expected to have high impact on development, could not be related to the trait differences. We observed high divergence of patterns of mass at metamorphosis between ponds, but no detectable pattern when metamorphic traits were compared between ponds and years. Our results indicate that environment alone, i.e. as experienced by tadpoles sharing the same breeding pond, can only partly explain the variability of metamorphic traits observed. This emphasizes the importance to assess variability of reaction norms on the individual level to explain within-population variability.
A Hybrid Decision Support Tool - Using Ensemble of Classifiers

In decision support systems a classification problem can be solved by employing one of several methods such as different types of artificial neural networks, decision trees, bayesian classifiers, etc. However, it may happen that certain parts of instances’ space are better predicting by one method than the others. Thus, the decision of which particular method to choose is a complicated problem. A good alternative to choosing only one method is to create a hybrid forecasting system incorporating a number of possible solution methods as components (an ensemble of classifiers). For this purpose, we have implemented a hybrid decision support system that combines a neural net, a decision tree and a bayesian algorithm using a stacking variant methodology. The presented system can be trained with any data, but in the current implementation is mainly used by tutors of Hellenic Open University to identify drop-out prone students. However, a comparison with other ensembles using the same classifiers as base learner on several standard benchmark datasets showed that this tool gives better accuracy in most cases.
Rapid and Simultaneous In Situ Assessment of Aflatoxins and Stilbenes Using Silica Plate Imprinting Mass Spectrometry Imaging

A fast and direct combination of techniques for simultaneous mycotoxin and phytoalexin identification in peanut skin and kernel is described. Silica Plate Imprinting Laser Desorption/Ionization Mass Spectrometry Imaging (SPILDI-MSI) is a powerful technique that exhibits great advantages, such as solvent-free and matrix-free characteristics, as well as no sample preparation or separation steps. It also permits accurate identification of mycotoxins and phytoalexins with unique fingerprint profiles in just a few seconds. Results are expressed as chemical images of the 4 identified types of aflatoxins (B1, B2, G1 and G2) and a stilbenoid (resveratrol). Also, SPILDI-MSI allows the comparison between the spatial distribution of aflatoxins and resveratrol found in kernel and skin. This novel application has proven to be useful for instantaneous qualitative assessment of aflatoxins and stilbenoids both in the peanut skin and kernel and offers precise tracking of fungal contamination in nuts and other foodstuffs.
An update on clinical significance of use of THSD7A in diagnosing idiopathic membranous nephropathy: a systematic review and meta-analysis of THSD7A in IMN

Abstract Background: THSD7A is a new target antigen of idiopathic membranous nephropathy (IMN). Moreover, malignancies are also found in patients with THSD7A-positive membranous nephropathy. We aimed to systematically evaluate the prevalence of THSD7A in IMN patients and malignancies in THSD7A-positive patients. Methods: We searched English and Chinese database to 31 December 2017 with the term ‘THSD7A’ or ‘thrombospondin type 1 domain-containing 7A’. Meta-analysis was used to explore the positive rate of THSD7A in the IMN patients. Subgroup analysis was performed according to the race, sample size, and detecting method of THSD7A. Results: Ten studies involving 4121 participants were eventually included. The prevalence of THSD7A was 3% (95% CI, 3%–4%) in all patients and 10% (95% CI, 6%–15%) in PLA2R-negative patients. 77 patients had positive circulating antibodies, and the prevalence of THSD7A was also low at 3% (95% CI, 2%–4%). Overall, 72 patients had positive THSD7A staining on renal biopsy, and the prevalence was 3% (95% CI 2%–4%). Subgroup analysis showed significant differences in the prevalence of THSD7A based on the study sample sizes, however, no significant differences were seen in different ethnic groups. Furthermore, among THSD7A-positive patients, 3/10 studies reported malignancies with the incidence varied from 6% to 25%. Conclusions: The prevalence of THSD7A is more common in the PLA2R-negative patients than the IMN patients. Screening for malignancies in THSD7A-positive MN patients is recommended.
OPTIMISATION PROCEDURE FOR PARAMETER IDENTIFICATION IN INELASTIC MATERIAL INDENTATION TESTING

The indentation of an inelastic material isotropic half-space with a spherical tip indenter is simulated using an in-house finite element code written in Fortran. In order to identify seven unknown material parameters (E and ν for elasticity; σ y,0 , R, β, Hkin and Hnl for plasticity), the simulation results must match as good as possible the experimental load-penetration curve obtained when indenting the inelastic material. This material parameter identification is performed using an optimisation procedure, i.e., one has to minimize the difference between the experimental curve and the simulated one. The optimisation procedure used here starts by applying a GaussNewton method, then continues using a Levenberg-Marquardt method. Using this optimisation procedure, the material parameter identification was successfully achieved for the considered indentation case study. This paper deals with the parameter identification in indentation testing of inelastic materials. It is an inverse engineering problem very relevant to industry, the purpose being to determine one or more inelastic material parameters that would lead to the most accurate agreement between experimental data and indentation simulation results. Since indentation modelling involves non-uniform stress fields to be analysed and non-linear material behaviour, there is no straightforward analytical solution for material parameter identification associated to indentation testing. So, numerical approaches – finite element modelling in this case – must be used for obtaining the fields of the state variables corresponding to the indentation test. Suppose one has to determine the unknown parameters of a new inelastic material. Using a nanoindenter, experimental load-penetration curves are available for the new, unknown material. Based on this experimental data, the purpose is to identify the unknown material parameters: Young’s modulus E and Poisson’s ratio ν (elasticity parameters), respectively the initial uniaxial yield stress σ y,0 , the nonlinear isotropic hardening parameters R and β and the non-linear kinematic
Synthesis and Some Physical Properties of Magnetite (Fe 3O4) Nanoparticles

Fe 3O4 nanoparticles and non aqueous stable magnetic fluid (MF) containing Fe 3O4 nanoparticles with mean diameters of 10 nm, which are in the range of super-paramagnetism, are prepared. Magnetite nanoparticles are synthesized via co-precipitation method from ferrous and ferric solutions. X-ray diffraction (XRD), transmission electron microscopy (TEM) and vibrating sample magnetometer (VSM) are used to study the physical properties of the (MF) and powder. The band gap parameters of the magneto-nanopowders such as the direct, indirect-band gap energies, Fermi energy and Urbach energy are determined.
Tangent Convolutions for Dense Prediction in 3D

We present an approach to semantic scene analysis using deep convolutional networks. Our approach is based on tangent convolutions - a new construction for convolutional networks on 3D data. In contrast to volumetric approaches, our method operates directly on surface geometry. Crucially, the construction is applicable to unstructured point clouds and other noisy real-world data. We show that tangent convolutions can be evaluated efficiently on large-scale point clouds with millions of points. Using tangent convolutions, we design a deep fully-convolutional network for semantic segmentation of 3D point clouds, and apply it to challenging real-world datasets of indoor and outdoor 3D environments. Experimental results show that the presented approach outperforms other recent deep network constructions in detailed analysis of large 3D scenes.
Meta-Analysis of Bismuth Quadruple Therapy versus Clarithromycin Triple Therapy for Empiric Primary Treatment of Helicobacter pylori Infection

Background: In areas with high clarithromycin resistance, bismuth quadruple therapy (BQT) is recommended instead of clarithromycin triple therapy (CTT) as the first-line treatment for Helicobacter pylori eradication. Methods: Randomized clinical trials (RCTs) comparing BQT to CTT were identified through electronic and manual searches. A meta-analysis was performed to compare the efficacy and tolerability of these two regimens as first-line treatments for H. pylori infection. The effect of antibiotic resistance on treatment efficacy was also analyzed. Results: Twelve RCTs were included. BQT achieved eradication in 77.6% of patients, whereas CTT achieved an eradication rate of 68.9% [risk difference (RD) = 0.06, 95% CI: -0.01/0.13]. A high heterogeneity among the trials was found (χ2 = 50.16, p < 0.00001; I2 = 78%). In the subgroup analysis for treatment duration, the 10-day BQT was more effective than the 7-day CTT (RD = 0.25, 95% CI: 0.18/0.32), whereas no differences were observed between CTT and BQT given for 7 or 10 days. There were no statistical differences in side effects and compliance between both therapies (RD = 0.92, 95% CI: 0.76/1.12, and RD = -0.03, 95% CI: -0.05/0.00, respectively). The effect of antibiotic resistance on eradication rates was reported in 4 of the 12 RCTs. Clarithromycin resistance significantly affected the efficacy of CTT (RD = 0.75, 95% CI: 0.63/0.87), whereas BQT efficacy was not affected by metronidazole resistance (RD = 0.09, 95% CI: -0.06/0.25). Conclusions: The 10-day BQT was more effective than the 7-day CTT as a first-line therapy for H. pylori infection, whereas BQT and CTT for 7 or 10 days yielded similar eradication rates. Compliance and side effect rates were similar for both therapies. BQT overcomes clarithromycin resistance and its efficacy is not affected by metronidazole resistance.
Catalase expression impairs oxidative stress-mediated signalling in Trypanosoma cruzi

SUMMARY Trypanosoma cruzi is exposed to oxidative stresses during its life cycle, and amongst the strategies employed by this parasite to deal with these situations sits a peculiar trypanothione-dependent antioxidant system. Remarkably, T. cruzi’s antioxidant repertoire does not include catalase. In an attempt to shed light on what are the reasons by which this parasite lacks this enzyme, a T. cruzi cell line stably expressing catalase showed an increased resistance to hydrogen peroxide (H2O2) when compared with wild-type cells. Interestingly, preconditioning carried out with low concentrations of H2O2 led untransfected parasites to be as much resistant to this oxidant as cells expressing catalase, but did not induce the same level of increased resistance in the latter ones. Also, presence of catalase decreased trypanothione reductase and increased superoxide dismutase levels in T. cruzi, resulting in higher levels of residual H2O2 after challenge with this oxidant. Although expression of catalase contributed to elevated proliferation rates of T. cruzi in Rhodnius prolixus, it failed to induce a significant increase of parasite virulence in mice. Altogether, these results indicate that the absence of a gene encoding catalase in T. cruzi has played an important role in allowing this parasite to develop a shrill capacity to sense and overcome oxidative stress.