Miracle-dz/UniFAR-FTUs huggingface dataset:
Image Restoration using Autoencoding Priors

We propose to leverage denoising autoencoder networks as priors to address image restoration problems. We build on the key observation that the output of an optimal denoising autoencoder is a local mean of the true data density, and the autoencoder error (the difference between the output and input of the trained autoencoder) is a mean shift vector. We use the magnitude of this mean shift vector, that is, the distance to the local mean, as the negative log likelihood of our natural image prior. For image restoration, we maximize the likelihood using gradient descent by backpropagating the autoencoder error. A key advantage of our approach is that we do not need to train separate networks for different image restoration tasks, such as non-blind deconvolution with different kernels, or super-resolution at different magnification factors. We demonstrate state of the art results for non-blind deconvolution and super-resolution using the same autoencoding prior.
Significance of Microvascular Function in Visual—Functional Mismatch Between Invasive Coronary Angiography and Fractional Flow Reserve

Background Despite a moderate correlation between angiographical stenosis and physiological significance, the mechanism of discordance has not been fully elucidated, particularly regarding the significance of microvascular function. This study sought to clarify whether microvascular function affects visual‐functional mismatch between quantitative coronary angiography (QCA) and fractional flow reserve (FFR). Methods and Results We assessed QCA, FFR, coronary flow reserve, and the index of microcirculatory resistance in 849 non‐left‐main coronary lesions with visually estimated intermediate stenoses from 532 patients. Clinical and lesion‐specific characteristics and physiological parameters associated with mismatch and reverse mismatch were studied. Coronary flow reserve and index of microcirculatory resistance showed a weak, but significant, correlation with FFR (R=0.306, P<0.001 and R=0.158, P<0.001, respectively). Four hundred twenty‐two lesions were visually nonsignificant (diameter stenosis assessed by QCA [QCA‐DS] ≤50%) and 427 lesions were visually significant (QCA‐DS >50%). Among visually nonsignificant lesions, FFR ≤0.80 (reverse mismatch) was observed in 129 lesions (30.6%). Among visually significant lesions, FFR >0.80 (mismatch) were observed in 179 lesions (41.9%). The significant predictors of reverse mismatch were male sex, nonculprit lesions of acute coronary syndrome, left anterior descending artery location, smaller QCA reference diameter, greater QCA‐DS, lower coronary flow reserve, and lower index of microcirculatory resistance. Mismatch was associated with right coronary artery location, greater QCA reference diameter, smaller QCA‐DS, lesion length, higher coronary flow reserve, and higher index of microcirculatory resistance. Conclusions There was a high prevalence of visual‐functional mismatches between QCA and FFR. The discrepancy was related to clinical characteristics, lesion‐specific factors, and microvascular resistance that was undistinguishable by coronary angiography, thus suggesting the importance of physiological lesion assessment.
Exposure to Childhood Abuse and Later Substance Use: Indirect Effects of Emotion Dysregulation and Exposure to Trauma

Little is known about how emotion dysregulation (ED) and trauma exposure differentially affect the relationship between abuse in childhood and adult substance use. We examined associations between child abuse, trauma exposure, ED, and current substance use in an already existing dataset. Participants (N = 2,014 adults, 90% African American) had been recruited from an urban hospital for a parent study. Analyses showed that drug and alcohol use was significantly positively correlated with child abuse (emotional, physical, and sexual), later trauma exposure, and ED (all ps < .001). Linear regression showed that exposure to abuse when older than a child was significantly associated with drug and alcohol use independent of child abuse and demographic variables (R 2Δ = .08, p < .001; R 2Δ = .04, p < .001). ED was significantly associated with drug and alcohol use independently of child abuse, nonabuse trauma, and demographic variables (R 2Δ = .02, p < .001; R 2Δ = .04, p < .001). Multiple mediation analyses showed that ED and later trauma exposure accounted for variance in the association between emotional abuse and substance use (p < .001). A better understanding of vulnerabilities to additional traumatization and emotion‐regulation deficits in individuals who have been exposed to child abuse and in addition have comorbid substance use problems may inform treatments that lead to improved outcomes.
Relationship between phospholipase C-zeta, semen parameters, and chromatin status

ABSTRACT The need for additional tests to complement basic sperm analysis in clinics is well appreciated. In this regard, a number of tests such as sperm DNA integrity test as a tool in diagnosis and treatment of infertility are suggested. But recent studies have focused on main sperm factors involved in oocyte activation such as phospholipase C-zeta (PLCζ) that initiate intracellular Ca2+ signaling and embryogenesis. Therefore, this study aimed to investigate the relationship between PLCζ, basic semen parameters, sperm DNA fragmentation (SDF), and protamine deficiency in men with normal (n=32) and abnormal (n=23) semen parameters. Unlike SDF and protamine deficiency, as negative factors related to fertility, the mean value of PLCζ as positive factor related to infertility was significantly lower in men with abnormal semen parameters compared to men with normal semen parameters. Significant correlations were also observed between sperm concentration, motility, and abnormal morphology with the percentage of PLCζ positive spermatozoa. In addition, logistic regression analysis revealed that sperm morphology is more predictive than sperm motility and concentration for PLCζ presence. In addition, a statistically significant negative relationship was observed between the percentage of PLCζ positive spermatozoa and SDF. These findings suggested during ICSI, selection of sperm based on morphology has a profound effect on its ability to induce oocyte activation based on the likelihood of PLCζ expression. Therefore, assessment of PLCζ as an index for fertilization potential of a semen sample in men with severe teratozoospermia may define individuals who are candidates for artificial oocyte activation (AOA) and may avoid failed fertilization post ICSI.
P3: Phylogenetic Posterior Prediction in RevBayes

Abstract Tests of absolute model fit are crucial in model‐based inference because poorly structured models can lead to biased parameter estimates. In Bayesian inference, posterior predictive simulations can be used to test absolute model fit. However, such tests have not been commonly practiced in phylogenetic inference due to a lack of convenient and flexible software. Here, we describe our newly implemented tests of model fit using posterior predictive testing, based on both data‐ and inference‐based test statistics, in the phylogenetics software RevBayes. This new implementation makes a large spectrum of models available for use through a user‐friendly and flexible interface.
Near-Optimal Sample Compression for Nearest Neighbors

We present the first sample compression algorithm for nearest neighbors with non-trivial performance guarantees. We complement these guarantees by demonstrating almost matching hardness lower bounds, which show that our performance bound is nearly optimal. Our result yields new insight into margin-based nearest neighbor classification in metric spaces and allows us to significantly sharpen and simplify existing bounds. Some encouraging empirical results are also presented.
Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction

In this paper, we aim at solving pixel-wise binary problems, including salient object segmentation, skeleton extraction, and edge detection, by introducing a unified architecture. Previous works have proposed tailored methods for solving each of the three tasks independently. Here, we show that these tasks share some similarities that can be exploited for developing a unified framework. In particular, we introduce a horizontal cascade, each component of which is densely connected to the outputs of previous component. Stringing these components together allows us to effectively exploit features across different levels hierarchically to effectively address the multiple pixel-wise binary regression tasks. To assess the performance of our proposed network on these tasks, we carry out exhaustive evaluations on multiple representative datasets. Although these tasks are inherently very different, we show that our unified approach performs very well on all of them and works far better than current single-purpose state-of-the-art methods. All the code in this paper will be publicly available.
How Reliable and Capable is Multi-Connectivity?

Multi-connectivity (MCo) is considered to be a key strategy for enabling reliable transmissions and enhanced data rates in fifth-generation mobile networks, as it provides multiple links from source to destination. In this paper, we quantify the communication performance of MCo in terms of outage probability and throughput. For doing so, we establish a simple, yet accurate analytical framework at high signal-to-noise ratio (SNR), in which the number of links, the spectral efficiency, the path loss, and the SNR are incorporated, giving new insights into the potentials of MCo as compared with the single-connectivity (SCo). These are our main contributions: 1) finding the exact coding gain of the outage probability for parallel block-fading channels; 2) quantifying the performance improvement of MCo over SCo in terms of SNR gain; and 3) comparing optimal and suboptimal combining algorithms for MCo at the receiver side, namely joint decoding, selection combining, and maximal-ratio combining, also in terms of SNR gain. In addition, we apply our analytical framework to real field channel measurements and thereby illustrate the potential of MCo to achieve high reliability and high data rates in real cellular networks.
Impact of a crushing ice particle onto a dry solid wall

This is a theoretical study about ice particle impact onto a rigid wall. It is motivated by the need to model the process of ice crystal accretion or damage caused by an ice particle impacts. A quasi-one-dimensional model of ice particle impact and deformation is developed. Spherical, cylindrical and conical shapes of the ice crystals are analysed. The model is able to predict particle residual height, the force produced by impact and the collision duration. The theoretical predictions agree well with the available experimental data.
Development of a LC-MS/MS Method for the Multi-Mycotoxin Determination in Composite Cereal-Based Samples

The analytical scenario for determining contaminants in the food and feed sector is constantly prompted by the progress and improvement of knowledge and expertise of researchers and by the technical innovation of the instrumentation available. Mycotoxins are agricultural contaminants of fungal origin occurring at all latitudes worldwide and being characterized by acute and chronic effects on human health and animal wellness, depending on the species sensitivity. The major mycotoxins of food concern are aflatoxin B1 and ochratoxin A, the first for its toxicity, and the second for its recurrent occurrence. However, the European legislation sets maximum limits for mycotoxins, such as aflatoxin B1, ochratoxin A, deoxynivalenol, fumonisins, and zearalenone, and indicative limits for T-2 and HT-2 toxins. Due to the actual probability that co-occurring mycotoxins are present in a food or feed product, nowadays, the availability of reliable, sensitive, and versatile multi-mycotoxin methods is assuming a relevant importance. Due to the wide range of matrices susceptible to mycotoxin contamination and the possible co-occurrence, a multi-mycotoxin and multi-matrix method was validated in liquid chromatography-tandem mass spectrometry (LC-MS/MS) with the purpose to overcome specific matrix effects and analyze complex cereal-based samples within the Italian Total Diet Study project.
Glutamine Codon Usage and polyQ Evolution in Primates Depend on the Q Stretch Length

Abstract Amino acid usage in a proteome depends mostly on its taxonomy, as it does the codon usage in transcriptomes. Here, we explore the level of variation in the codon usage of a specific amino acid, glutamine, in relation to the number of consecutive glutamine residues. We show that CAG triplets are consistently more abundant in short glutamine homorepeats (polyQ, four to eight residues) than in shorter glutamine stretches (one to three residues), leading to the evolutionary growth of the repeat region in a CAG-dependent manner. The length of orthologous polyQ regions is mostly stable in primates, particularly the short ones. Interestingly, given a short polyQ the CAG usage is higher in unstable-in-length orthologous polyQ regions. This indicates that CAG triplets produce the necessary instability for a glutamine stretch to grow. Proteins related to polyQ-associated diseases behave in a more extreme way, with longer glutamine stretches in human and evolutionarily closer nonhuman primates, and an overall higher CAG usage. In the light of our results, we suggest an evolutionary model to explain the glutamine codon usage in polyQ regions.
Influence of asphalt composition upon the thermodynamics performance of a mixing plant

Pavement material production requires a highly intensive energy processing related to the drying and the heating of granular materials within a rotary kiln. Thus, a better prediction of thermophysical parameters of bituminous concrete materials during their transformation is required to improve the processes in order to reduce their environmental impact. The present paper deals with accurate thermodynamics balance in a mix-asphalt plant. We report input and output mass flows captured within an instrumented flight rotary kiln devoted to a large range of asphalt materials. Hot-mix (Tmaterials ∼170°C), warm-mix (Tmaterials ∼120°C) and Recycled Asphalt Products (so-called RAP) are compared. Computation of the macroscopic energy balance exhibits an averaged energy flux source equal to about 7 MW, the major amount being connected to the power gas burner. The heat sink related to the drying is different according to the formulation, RAP particles having non-negligible moisture content. In situ temperature sensors are used to validate an advanced thermodynamics model involving RAP feeding rate. The thermal degradation of the RAP particles emphasises significant heat release measured at the RAP injection position which is captured by the theoretical model.
Is Canadian Healthcare Affordable? A Comparative Analysis of the Canadian Healthcare System from 2004 to 2014

Objective: To compare cost-related non-adherence (CRNA), serious problems paying medical bills and average annual out-of-pocket cost over time in five countries. Methods: Repeated cross-sectional analysis of the Commonwealth Fund International Health Policy survey from 2004 to 2014. Responses were compared between Canada, the UK, Australia, New Zealand and the US. Results: Compared to the UK, respondents in Canada, Australia and New Zealand were two to three times and respondents in the US were eight times more likely to experience CRNA; these odds remained stable over time. From 2004 to 2014, Canadian respondents paid US $852–1,767 out-of-pocket for care. The US reported the largest risks of serious problems paying for care (13–18.5%), highest out-of-pocket costs (US $2,060–3,319) and greatest rise in expenditures. Interpretation: Over the 10-year period, financial barriers to care were identified in Canada and internationally. Such persistent challenges are of great concern to countries striving for equitable access to healthcare.
Co-infecção por Tritrichomonas foetus e Pentatrichomonas hominis em gatos assintomáticos

Tritrichomonas foetus, um parasito bem conhecido por seu significado como um agente patogenico transmitido venereamente em bovinos, tambem foi identificado como causa de diarreia cronica do intestino grosso em gatos domesticos em muitos paises. No Brasil, varios estudos sobre o diagnostico de tricomonose bovina foram realizados, mas ate agora, nao ha informacao disponivel em relacao a trichomonose felina. Assim, este e o primeiro estudo a relatar a ocorrencia de T. foetus e Pentatrichomonas hominis em gatos por meio de analise morfologica e molecular. Fezes de 77 gatos foram examinadas, a partir da qual quatro (5,2%) foram positivas para a presenca de parabasalideos. A analise morfologica de esfregacos corados revelou trophozoitos piriformes com tres flagelos anteriores, nucleo alongado e axostilo cuja projecao termina abruptamente em formato de filete, caracteristicas estas de identificacao morfologica T. foetus. Alem disso, microscopia eletronica de varredura e transmissao, revelaram caracteres morfologicos semelhantes aos descritos na literatura para esta especie. A analise molecular de culturas utilizando iniciadores especificos para trofozoitos de T. foetus (TFR3 e TFR4), mostrou que as quatro amostras foram positivas para este parasito e osequenciamento dos fragmentos amplificados demonstraram 99,7-100% de similaridade com sequencias depositadas no GeneBank de T. foetus. Nenhum trofozoito com morfologia consistente com a descricao de P. hominis foi visualizado nas amostras. No entanto, a analise molecular, utilizando iniciadores especificos para esta especie (TH3 e TH5) detectou que tres das quatro amostras (75%) tambem foram positivas para P. hominis e o sequenciamento de nucleotideos revelou 100% de similaridade dos amplicons quando comparada com o mesmo fragmento de DNA de P. hominis depositado no GenBank. Como tal, o presente estudo relata a coinfeccao de gatos com T. foetus e P. hominis e destacou a exigencia de uma combinacao de metodos para o diagnostico de coinfeccoes. Estes resultados demonstram a importância do diagnostico correto para a aplicacao da terapia apropriada por parte dos veterinarios.
From Menarche to Menopause: Understanding Multigenerational Reproductive Health Milestones

ABSTRACT Our study aims at understanding multigenerational communication among grandmothers, mothers, and daughters experiencing reproductive health transitions from menarche to menopause. Thirty women, 10 triads of grandmothers, mothers, and daughters, participated in narrative interviews to recount their menarche and menopause experiences. Analysis was read using a multilayered approach to interpret discourse positioned from self, reflexive others, and those stories informed by societal meanings. Four dialectical themes informed by generational discursive shifts in talk included (1) covert versus overt talk, (2) recollection of versus indifference to menarche, (3) bound to versus freedom from menstruation, and (4) controlling versus managing bodily changes. The theoretical significance of this piece indicates a slight, transformative change in how messages about menarche and menstruation are communicated or passed down from one generation to the next.
Combined Novel Bonding Method of Resin to Zirconia Ceramic in Dentistry: A Pilot Study

Zirconia is a promising metal-free framework material that can be used to construct all-ceramic resin-bonded restorations in modern minimally invasive dentistry. The lack of a durable bond to zirconia is the major limitation against its widespread use. A technique to promote adhesion to the zirconia surface has thus been actively sought in dental materials research. Selective infiltration etching (SIE) has emerged as a method of conditioning that creates a highly retentive zirconia surface. This in vitro pilot study tested a novel adhesion procedure in which two newly engineered silane-based zirconia primers were combined with the SIE method. Zirconia discs were SIE-surface-treated, coated with one of the 2 zirconia primers, and bonded to composite resin discs. Primer activation (hydrolysis) was monitored by Fourier transform infrared (FTIR) spectroscopy. The bilayered specimens were sectioned into microbars and subjected to the microtensile bond strength test. As-sintered zirconia discs served as controls. Surface analysis of zirconia specimens was carried out using photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM). Zirconia specimens that had been treated with both SIE and primers had a significantly higher (ANOVA) zirconia resin bond strength (40.6 MPa, SD 5.8 MPa) than control specimens (2.6 MPa, SD 3.0 MPa; p < 0.05, F = 13.8, ANOVA). Controls also exhibited spontaneous failure during sectioning. Additionally, the interfacial failure rate was lower for the specimens subjected to the new combined surface treatment than for controls. The novel combined method of surface treatment method might open new opportunities for enhanced adhesion of resin-bonded zirconia restorations.
Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up to hundreds of thousands of features with relatively small sample size. Because learning algorithms usually do not work well with this kind of data, a challenge to reduce the data dimensionality arises. A huge number of gene selection are applied to select a subset of relevant features for model construction and to seek for better cancer classification performance. This paper presents the basic taxonomy of feature selection, and also reviews the state-of-the-art gene selection methods by grouping the literatures into three categories: supervised, unsupervised, and semi-supervised. The comparison of experimental results on top 5 representative gene expression datasets indicates that the classification accuracy of unsupervised and semi-supervised feature selection is competitive with supervised feature selection.
If You’re High Status and You Know It: Teasing Apart the Within- and Between-Person Effects of Peer- and Self-Reported Status in the Drinking Group on Alcohol-Related Outcomes

In this longitudinal study, we disentangled within- and between-persons effects in the relationship between university students’ status in their drinking group and alcohol-related behavior. We further examined the role of self-perceived and peer-reported status, with the hypothesis that only when students’ peers reported them as of a higher status, and they were aware of their high status (via self-report), would they experience increased heavy episodic drinking (HED). University students (N = 118; Mage = 19.40, SD = 1.49; 60.2% women) were recruited in their natural drinking groups (N = 27). All group members completed surveys at 3 time points during the school year, each 2 months apart. We fitted a taxonomy of multilevel growth curve models predicting students’ self-reported HED and the extent to which they encouraged other group members to consume alcohol (peer-reported). Between-persons results demonstrated that students who reported higher status compared to their group members experienced more HED on average and students who were peer-reported as of a higher status relative to their group members played a more salient role in encouraging others to drink. Notably, and consistent with hypotheses, a within-person interaction revealed that at time points when students were higher in peer-reported status relative to their average, and they were aware of their increase in status (via self-reports), they also engaged in more HED. Results emphasize the importance of considering within-person effects and highlight the need for university alcohol-prevention programming to focus on students’ status-related motives and concerns.