Miracle-dz/UniFAR-FTUs huggingface dataset:
Complications of Fixed Full-Arch Implant-Supported Metal-Ceramic Prostheses

We aimed to assess the biological and mechanical-technical complications and survival rate of implants of full-arch metal-ceramic prostheses, during five years of follow-up. 558 implants (of three different brands) retaining 80 full-arch metal-ceramic prostheses were placed in 65 patients, all of whom were examined annually for biological and mechanical-technical complications during the five years of follow-up. Descriptive statistics and univariate logistic regression were calculated. The cumulative survival rate of the implants was 99.8%, and 98.8% prosthesis-based. Mucositis was the most frequent of the biological complications and peri-implantitis was recorded as 13.8% at restoration-level, 16.9% at patient level and 2.0% at implant level. An implant length greater than 10 mm was shown to be a protective factor against biological complications. The mechanical-technical complications were associated with implant diameter, abutment/implant connection and retention system. Loss of screw access filling was the most frequent prosthetic complication, followed by the fracture of the porcelain. Full-arch metal-ceramic prostheses show a high prevalence of implant and prosthesis survival, with few biological and mechanical-technical complications.
Real-time particle pollution sensing using machine learning

Particle pollution is a global health challenge that is linked to around three million premature deaths per year. There is therefore great interest in the development of sensors capable of precisely quantifying both the number and type of particles. Here, we demonstrate an approach that leverages machine learning in order to identify particulates directly from their scattering patterns. We show the capability for producing a 2D sample map of spherical particles present on a coverslip, and also demonstrate real-time identification of a range of particles including those from diesel combustion. © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Transcriptome, Spliceosome and Editome Expression Patterns of the Porcine Endometrium in Response to a Single Subclinical Dose of Salmonella Enteritidis Lipopolysaccharide

Endometrial infections at a young age can lead to fertility issues in adulthood. Bacterial endotoxins, such as lipopolysaccharide (LPS), can participate in long-term molecular changes even at low concentrations. Lipopolysaccharide plays a crucial role in the progression of septic shock, inflammation and auto-immune diseases. The aim of this study was to describe transcriptomic modulations in the porcine endometrium, induced in vivo by a single subclinical dose of LPS from Salmonella Enteritidis. which did not produce clinical symptoms of toxicity. The RNA-seq methodology was applied to reveal 456 differentially expressed regions, including 375 genes, four long noncoding RNAs, and 77 other unclassified transcripts. Two independent methods confirmed 118 alternatively spliced genes that participate i.a. , in the formation of the MHC-I complex and the adaptive immune response. Single nucleotide variant-calling algorithms supported the identification of 3730 allele-specific expression variants and 57 canonical A-to-I RNA editing sites. The results demonstrated that the differential expression of genes involved in inflammation, immune response, angiogenesis and endometrial development may be maintained for up to 7 days after exposure to LPS. RNA editing sites and long noncoding RNAs (lncRNAs) play an important role in transcriptional regulatory machinery in the porcine endometrium in response to LPS administration.
Coalition Formation and the Regime Divide in New Democracies: East Central Europe

The ability to form stable governing coalitions is a basic precondition of effective democracy in multiparty parliamentary systems. Several explanations of the formation of such coalitions by political parties have contributed greatly to understanding how mature democracies function, but they have been less successful for the patterns of coalition formation in the new democracies of East Central Europe after the collapse of the Communist regimes in 1989. Party coalitions in East Central Europe are as diverse as they are puzzling. Some parties have formed stable coalitions between ideologically close allies. For example, the Czech government from 1992 to 1996 was heralded as an example of mature coalition formation and stability and was easily explained by spatial theories of coalition formation. However, parties in other countries, such as Poland, rejected the very idea of such alliances, despite ideological proximity and complementary policy goals. Instead they formed unstable and conflictual coalitions with secondor even third-best alternatives. Finally, in some cases parties from opposite ends of the political spectrum unexpectedly formed alliances, as in Slovakia. Such patterns run counter to the predictions of theories of coalition formation. While no theory claims to predict all cases of coalition formation, they seem unusually weak for the postcommunist countries. There may be a more parsimonious explanation of coalition patterns in the region. The fundamental predictor of coalition formation continues to be the regime divide, the depth and character of the persisting conflict between the successors to the pre-1989 Communist parties and the parties emerging from the Communist-era opposition. The deeper this divide is, the lower the chances are that coalitions will form on the basis of similar policy goals or ideology between the Communist successors and their opposition counterparts. As for coalition formation efforts of the Communist successor parties, even where they have succeeded in moderating their ideology and in radically transforming their image, the regime divide can prevent them from forming coalitions with parties that share their policy preferences. While this cleavage shows signs of waning, the expectation of electoral punishment has prevented policy-convergent coalitions in the region for over a decade. Thus, the peculiarities of postauthoritarian transitions and the constraints they impose on coalition building add to theories of coalition formation.
Association between faecal haemoglobin concentration and the risk of cardiovascular diseases among Taiwanese adults in a community-based screening cohort

Objectives The role of faecal haemoglobin as a colorectal cancer screening tool has been demonstrated. However, the association between the faecal haemoglobin concentration and the risk of cardiovascular disease events and deaths is still unclear. Design Cohort study design. Setting Population-based organised integrated service screening in Keelung City, Taiwan Participants A total of 33 355 healthy individuals aged over 40 years who were free of cardiovascular disease at study entry were followed up. Main outcomes and measures Newly diagnosed cardiovascular disease events and deaths. Results After a median follow-up of 2.39 years, a total of 2768 participants developed cardiovascular events, and after a median follow-up of 8.43 years, 317 cases of cardiovascular deaths occurred. The risk of cardiovascular disease increased with baseline faecal haemoglobin in a dose–response manner, yielding a significant elevated risk of cardiovascular disease in parallel with the incremental concentration of faecal haemoglobin (adjusted HRs=1.04, 1.10, 1.40 and 1.23 for faecal haemoglobin concentrations of 1–19, 20–49, 50–99 and ≥100 ng/mL, trend test, p<0.0001, as compared with the reference group with undetectable faecal haemoglobin concentrations). A similar pattern was observed for the risk of cardiovascular disease deaths. In addition, the faecal haemoglobin improved the prediction performance of the model for the risk of cardiovascular diseases; the integrated discrimination improvement was 0.3% (p<0.001) for cardiovascular events and 0.1% (p=0.020) for cardiovascular deaths. Conclusions Our data support that faecal haemoglobin concentrations may be associated with the risk of cardiovascular diseases. The biological mechanisms underlying the role of faecal haemoglobin as health outcomes should be investigated.
Potential of Wood Ash as a Fertilizer in BRS Piatã Grass Cultivation in the Brazilian Cerrado Soil

Utilizing wood ash as a fertilizer in agriculture is a viable alternative to the soil nutrients absorbed by the crops. The aim of this study was to assess the phytometric and productive features of Brachiaria brizantha (cv. BRS Piata) fertilized with wood ash in the Brazilian Cerrado. The experiment was performed in a greenhouse, adopting a completely randomized design, and applying five rates of wood ash (0, 5, 10, 15 and 20 g·dm-3) with five replicates. The shoot plant parts were subjected to three successive cuts 30-day intervals each. The results were submitted to the analysis of variance and regression analysis at 5% probability. The wood ash rates between 13 to 17 g·dm-3 clearly produced the best results for plant height (102.24, 84.42 and 63.27 cm), leaf/stem ratio (1.61, 1, 78 and 1.94), and chlorophyll index (46.66, 41.93 and 38.39), respectively, during the first, second and third evaluations. A 94% increase in the shoot dry mass (2nd and 3rd evaluations) and root parts was noted for the wood ash rate of 20 g·dm-3, compared with the treatment involving wood ash fertilization. Wood ash affects the phytometric features, increases the chlorophyll concentration and thus the BRS Piata grass production in the Oxisol of the Brazilian Cerrado.
Euglycemic diabetic ketoacidosis in a patient with type 1 diabetes and SARS-CoV-2 pneumonia: case-report and review of the literature

ABSTRACT Objective Recent publications on Coronavirus Disease-2019 (COVID-19) report that diabetic people with or without co-morbidities are at higher risk of developing severe and/or fatal illnesses. Method and Result We report the first case of a 60-year-old man with a 27-year history of type 1 diabetes mellitus, infected by SARS-CoV-2 presenting with an euglycaemic ketoacidosis and an acute respiratory distress syndrome Conclusion This case report reminds us of the importance of adjusting more recent glucose-lowering drugs, including sodium-glucose cotransporter 2 inhibitors, in the overall management of type 1 diabetic individuals during the ongoing COVID-19 outbreak. Abbreviations COVID-19: Coronavirus disease 2019 (SARS-CoV-2) virus, T1DM: Type 1 diabetes mellitus, T2DM: Type 2 diabetes mellitus, SGLT2i: Sodium-glucose cotransporter 2 inhibitor, DKA: diabetic ketoacidosis, euDKA: euglycaemic diabetic ketoacidosis.
Assessing the Difference between Soil and Water Assessment Tool (SWAT) Simulated Pre-Development and Observed Developed Loading Regimes

The purpose of this research was to assess the difference between Soil and Water Assessment Tool (SWAT) simulated pre-development and contemporary developed loading regimes in a mixed-land-use watershed of the central United States (US). Native land cover based on soil characteristics was used to simulate pre-development loading regimes using The Soil and Water Assessment Tool (SWAT). Loading targets were calculated for each major element of a pre-development loading regime. Simulated pre-development conditions were associated with increased retention and decreased export of sediment and nutrients when compared to observed developed conditions. Differences between simulated pre-development and observed developed maximum daily yields (loads per unit area) of suspended sediment (SS), total phosphorus (TP), and total inorganic nitrogen (TIN) ranged from 35.7 to 59.6 Mg km−2 (SS); 23.3 to 52.5 kg km−2 (TP); and, 113.2 to 200.8 kg km−2 (TIN), respectively. Average annual maximum daily load was less during simulated pre-development conditions when compared to observed developed conditions by ranges of 1,307 to 6,452 Mg day−1 (SS), 0.8 to 5.4 kg day−1 (TP), and 4.9 to 26.9 kg day−1 (TIN), respectively. Hydrologic modeling results indicated that the differences in annual maximum daily load were causally linked to land use and land cover influence on sediment and nutrient loading. The differences between SWAT simulated pre-development and observed contemporary loading regimes from this study point to a need for practical loading targets that support contemporary management and integrated flow and pollutant loading regimes.
Extensive Evaluation of Morphological Statistical Harmonization for Brain Age Prediction

Characterizing both neurodevelopmental and aging brain structural trajectories is important for understanding normal biological processes and atypical patterns that are related to pathological phenomena. Initiatives to share open access morphological data contributed significantly to the advance in brain structure characterization. Indeed, such initiatives allow large brain morphology multi-site datasets to be shared, which increases the statistical sensitivity of the outcomes. However, using neuroimaging data from multi-site studies requires harmonizing data across the site to avoid bias. In this work we evaluated three different harmonization techniques on the Autism Brain Imaging Data Exchange (ABIDE) dataset for age prediction analysis in two groups of subjects (i.e., controls and autism spectrum disorder). We extracted the morphological features from T1-weighted images of a mixed cohort of 654 subjects acquired from 17 sites to predict the biological age of the subjects using three machine learning regression models. A machine learning framework was developed to quantify the effects of the different harmonization strategies on the final performance of the models and on the set of morphological features that are relevant to the age prediction problem in both the presence and absence of pathology. The results show that, even if two harmonization strategies exhibit similar accuracy of predictive models, a greater mismatch occurs between the sets of most age-related predictive regions for the Autism Spectrum Disorder (ASD) subjects. Thus, we propose to use a stability index to extract meaningful features for a robust clinical validation of the outcomes of multiple harmonization strategies.
Antecedents Of The Intention And Behavior Toward Purchase Of Counterfeit Luxury Goods In An Emerging Economy: A Study Of Young Vietnamese Consumers

This study examines some antecedents of the intention and behavior toward buying counterfeit luxury goods among young consumers in Vietnam, an Asian emerging economy. The data was obtained from university undergraduate students in Hanoi, the capital of Vietnam. The results of structural equation modeling show support for most of our hypotheses. The findings indicate that materialism (the centrality component) has positive impact on attitude toward purchase of counterfeit luxury goods. Attitude and subjective norm toward counterfeit luxury goods are found to be positively related to purchase intention, while perceived behavioral control is not found to have a direct impact on purchase intention. In addition, perceived behavioral control and purchase intention are found to be significant predictors of purchase behavior. The research findings are discussed and implications for managers and policy makers are provided.
Genetic analysis of body weight in wild populations of medaka fish from different latitudes

The genetic bases of growth and body weight are of economic and scientific interest, and teleost fish models have proven useful in such investigations. The Oryzias latipes species complex (medaka) is an abundant freshwater fish in Japan and suitable for genetic studies. We compared two wild medaka stocks originating from different latitudes. The Maizuru population from higher latitudes weighed more than the Ginoza population. We investigated the genetic basis of body weight, using quantitative trait locus (QTL) analysis of the F2 offspring of these populations. We detected one statistically significant QTL for body weight on medaka chromosome 4 and identified 12 candidate genes that might be associated with body weight or growth. Nine of these 12 genes had at least one single nucleotide polymorphism that caused amino acid substitutions in protein-coding regions, and we estimated the effects of these substitutions. The present findings might contribute to the marker-assisted selection of economically important aquaculture species.
The Global Prevalence of Strongyloides stercoralis Infection

Strongyloidiasis is a common neglected tropical disease in tropical and sub-tropical climatic zones. At the worldwide level, there is high uncertainty about the strongyloidiasis burden. This uncertainty represents an important knowledge gap since it affects the planning of interventions to reduce the burden of strongyloidiasis in endemic countries. This study aimed to estimate the global strongyloidiasis prevalence. A literature review was performed to obtain prevalence data from endemic countries at a worldwide level from 1990 to 2016. For each study, the true population prevalence was calculated by accounting for the specificity and the sensitivity of testing and age of tested individuals. Prediction of strongyloidiasis prevalence for each country was performed using a spatiotemporal statistical modeling approach. The country prevalence obtained from the model was used to estimate the number of infected people per country. We estimate the global prevalence of strongyloidiasis in 2017 to be 8.1% (95% CI: 4.2–12.4%), corresponding to 613.9 (95% CI: 313.1–910.1) million people infected. The South-East Asia, African, and Western Pacific Regions accounted for 76.1% of the global infections. Our results could be used to identify those countries in which strongyloidiasis prevalence is highest and where mass drug administration (MDA) should be deployed for its prevention and control.
Clinical update Catheter ablation in patients with persistent atrial fibrillation

Publisher Rights Statement: © The Author 2016. Published by Oxford University Press on behalf of the European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Does 
Planck
 2015 polarization data favor high redshift reionization?

We study the relationship between signatures of high redshift ionization in large-angle CMB polarization power spectra and features in the Planck 2015 data. Using a principal component (PC) ionization basis that is complete to the cosmic variance limit out to $z_{\mathrm{max}}=30,40,50$, we find a robust $>95\%$ CL preference for ionization at $z>15$ with no preference for $z>40$. This robustness originates from the $\ell \sim 10$ region of the data which show high power relative to $\ell \le 8$ and result in a poor fit to a steplike model of reionization. Instead by allowing for high redshift reionization, the PCs provide a better fit by $2\Delta \mathrm{ln}\mathcal{L} = 5-6$. Due to a degeneracy in the ionization redshift response, this improved fit is due to a single aspect of the model: the ability to accommodate $z>10$ component to the ionization but does not constitute a highly significant detection on its own. For models that accommodate such a component, its presence is allowed and even favored; for models that do not, their poor fit reflects statistical or systematic fluctuations. These possibilities produce very different and testable predictions at $\ell \sim 15-20$, as well as small but detectable differences at $\ell>30$ that can further restrict the high redshift limit of reionization.
Potassium Channel-Associated Bioelectricity of the Dermomyotome Determines Fin Patterning in Zebrafish

It has long been recognized that the morphological complexity of vertebrates is established by spatially- and temporally-regulated cell signaling. For decades, studies of the molecular mechanisms. The roles of bioelectric signaling in developmental patterning remain largely unknown, although recent work has implicated bioelectric signals in cellular processes such as proliferation and migration. Here, we report a mutation in the inwardly rectifying potassium channel (kir) gene, kcnj13/kir7.1, that causes elongation of the fins in the zebrafish insertional mutant Dhi2059. A viral DNA insertion into the noncoding region of kcnj13 results in transient activation and ectopic expression of kcnj13 in the somite and dermomyotome, from which the fin ray progenitors originate. We made an allele-specific loss-of-function kcnj13 mutant by CRISPR (clustered regularly interspaced short palindromic repeats) and showed that it could reverse the long-finned phenotype, but only when located on the same chromosome as the Dhi2059 viral insertion. Also, we showed that ectopic expression of kcnj13 in the dermomyotome of transgenic zebrafish produces phenocopies of the Dhi2059 mutant in a gene dosage-sensitive manner. Finally, to determine whether this developmental function is specific to kcnj13, we ectopically expressed three additional potassium channel genes: kcnj1b, kcnj10a, and kcnk9. We found that all induce the long-finned phenotype, indicating that this function is conserved among potassium channel genes. Taken together, our results suggest that dermomyotome bioelectricity is a new fin-patterning mechanism, and we propose a two-stage bioelectricity model for zebrafish fin patterning. This ion channel-regulated bioelectric developmental patterning mechanism may provide with us new insight into vertebrate morphological evolution and human congenital malformations.
Patient satisfaction after innervated digital artery perforator flap for fingertip injuries.

OBJECTIVE The aim of this study was to evaluate the results of the innervated digital artery perforator (IDAP) flap and to analyze the relationship between patient satisfaction and outcome measures. METHODS A total of 17 fingertips of 15 patients (14 men and one woman; mean age: 47.2 (26-62) years) were included in this retrospective study. Patients' injured finger and defect type were recorded. At the last follow-up, the static two-point discrimination (s2PD) test, Semmes Weinstein monofilament (SWM) test, and range of motion of the affected finger were analyzed. We interviewed patients to determine hand dominance, cold intolerance, and their satisfaction with the result. We performed correlation and logistic regression analyses between patient satisfaction and outcome measures. RESULTS The mean follow-up period was 13.8 (7-18) months. The mean range of motion was 77.3±3.5 (70-80) degrees for the distal interphalangeal joints of affected fingers. The mean s2PD was 6.4 (3-10) mm, and the SWM records ranged from 2.83 to 4.93 monofilament markings. Cold intolerance was noted in seven fingers (41%). Patient satisfaction was negatively correlated with cold intolerance, and cold intolerance decreased as the follow-up period extended. CONCLUSION IDAP flap satisfies both patient and surgeon, with the only significant problem being cold intolerance, regarding which patients must be informed. Although cold intolerance is hard to treat, fortunately, it generally improves with time. LEVEL OF EVIDENCE Level IV, Therapeutic study.