Miracle-dz/UniFAR-FTUs huggingface dataset:
A new model of nonlinear multiregressions by projection pursuit based on generalized Choquet integrals

A nonlinear multiregression model is presented based on the generalized Choquet integral with respect to a signed fuzzy measure. In this model, the interaction among predictive attributes toward the objective attribute is depicted by a signed fuzzy measure. To guarantee the invariability of the multiregression under scale variation and translation of the attributes, a respective linear transformation with unknown coefficients is applied to each attribute. All of these coefficients and the values of the signed fuzzy measure are optimally determined as the regression coefficients by running an adaptive genetic algorithm based on given data.
Rare Comorbidity between Inflammatory Bowel Disease and Primary Biliary Cholangitis: Evidence from Causality, Shared Genetic Architecture and Transcriptomics

Abstract Background: Clinical studies have found comorbidity between Inflammatory Bowel Disease (IBD) and primary sclerosing cholangitis (PSC). Primary biliary cholangitis (PBC) is another autoimmune liver disease but the coexistence of IBD and PBC is rare. Whether there exists comorbidity between IBD and PBC and potential mechanism remains unclear. Methods: We assessed the casual effect between PBC and IBD, i.e., Crohn Disease (CD) and Ulcerative Colitis (UC) independently based on genome-wide association studies (GWAS) summary statistics. By leveraging data from GWAS data, Bulk tissue RNA sequencing (bulk RNA-seq) data, and Single-cell RNA sequencing (scRNA-seq) dataset, we investigated the shared genetic architecture between IBDs and PBC. The transcriptomic expressions of shared genes were explored in patients with IBD (intestinal biopsies) and PBC (peripheral CD4+ T cells). Result: We found a bidirectional causal relationship for PBC and IBDs using Mendelian randomization. The IBDs had been considered as the protective factors on PBC (0.87[95% confidence interval (CI): 0.81-0.93], P = 8.72e-5, vice versa (0.91[95% CI: 0.81-0.93], P = 2.65e-09). We find a consistent negative genetic correlation between PBC and IBD (LDSC: rg = -0.2245, P = 2.89e-5). Cross-trait analysis yielded 9 shared risk SNPs and 7 nearest genes. In transcriptome analysis, we observed significant (P < 0.05) differences expression in intestinal biopsies (PGAP3 and DENND1B) and in peripheral CD4+ T cells (PTPN11 and PNMT). We identified shared tissue-specific heritability enrichment for PBC and IBD (including CD not UC) in lung, spleen and cells EBV-transformed lymphocytes and identified shared cell type-level enrichment for IBD, CD and PBC in type 1 dendritic cells, natural killer cells, CD8+ cytotoxic T lymphocytes in lung and activated CD8+ T cell in spleen. Conclusion: Our study indicates that IBD and PBC are protective factors for each other and shared genetic architecture may contribute to the negative genetic correlation. These findings may explain the rare comorbidity between IBD and PBC. Keywords: Inflammatory Bowel Diseases, Primary Biliary Cholangitis, Causality, Shared Genetic Architecture, Comorbidity
A Novel Collaborative Learning Model for Teeth and Fillings in Radiographs

It is critical for dentists to identify and differentiate primary and permanent teeth, fillings, dental restorations and areas with pathological findings when reviewing dental radiographs to ensure that an accurate diagnosis is made and the optimal treatment can be planned. Unfortunately, dental radiographs are sometimes read incorrectly due to human error or low-quality images. While secondary or group review can help catch errors, many dentists work in practice alone and/or do not have time to review all of their patients radiographs with another dentist. Artificial intelligence may facilitate the accurate interpretation of radiographs. To help support the review of panoramic radiographs, we developed a novel collaborative learning model that simultaneously identifies and differentiates primary and permanent teeth and detects fillings. We used publicly accessible dental panoramic radiographic images and images obtained from the University of Missouri-Kansas City School of Dentistry to develop and optimize two high-performance classifiers: (1) a system for tooth segmentation that can differentiate primary and permanent teeth and (2) a system to detect dental fillings. By utilizing these high-performance classifiers, we created models that can identify primary and permanent teeth, as well as their associated dental fillings. We also designed a novel method for collaborative learning that utilizes these two classifiers to enhance recognition performance. Our model improves upon the existing machine learning models to simultaneously identify and differentiate primary and permanent teeth, and to identify any associated fillings.
Efficacy and safety of extracorporeal membrane oxygenation for burn patients: a comprehensive systematic review and meta-analysis

Abstract Background Respiratory and circulatory dysfunction are common complications and the leading causes of death among burn patients, especially in severe burns and inhalation injury. Recently, extracorporeal membrane oxygenation (ECMO) has been increasingly applied in burn patients. However, current clinical evidence is weak and conflicting. This study aimed to comprehensively evaluate the efficacy and safety of ECMO in burn patients. Methods A comprehensive search of PubMed, Web of Science and Embase from inception to 18 March 2022 was performed to identify clinical studies on ECMO in burn patients. The main outcome was in-hospital mortality. Secondary outcomes included successful weaning from ECMO and complications associated with ECMO. Meta-analysis, meta-regression and subgroup analyses were conducted to pool the clinical efficacy and identify influencing factors. Results Fifteen retrospective studies with 318 patients were finally included, without any control groups. The commonest indication for ECMO was severe acute respiratory distress syndrome (42.1%). Veno–venous ECMO was the commonest mode (75.29%). Pooled in-hospital mortality was 49% [95% confidence interval (CI) 41–58%] in the total population, 55% in adults and 35% in pediatrics. Meta-regression and subgroup analysis found that mortality significantly increased with inhalation injury but decreased with ECMO duration. For studies with percentage inhalation injury ≥50%, pooled mortality (55%, 95% CI 40–70%) was higher than in studies with percentage inhalation injury <50% (32%, 95% CI 18–46%). For studies with ECMO duration ≥10 days, pooled mortality (31%, 95% CI 20–43%) was lower than in studies with ECMO duration <10 days (61%, 95% CI 46–76%). In minor and major burns, pooled mortality was lower than in severe burns. Pooled percentage of successful weaning from ECMO was 65% (95% CI 46–84%) and inversely correlated with burn area. The overall rate of ECMO-related complications was 67.46%, and infection (30.77%) and bleedings (23.08%) were the two most common complications. About 49.26% of patients required continuous renal replacement therapy. Conclusions ECMO seems to be an appropriate rescue therapy for burn patients despite the relatively high mortality and complication rate. Inhalation injury, burn area and ECMO duration are the main factors influencing clinical outcomes.
Phenotypic plasticity increases exposure to extreme climatic events that reduce individual fitness

Climate models, and empirical observations, suggest that anthropogenic climate change is leading to changes in the occurrence and severity of extreme climatic events (ECEs). Effects of changes in mean climate on phenology, movement, and demography in animal and plant populations are well documented. In contrast, work exploring the impacts of ECEs on natural populations is less common, at least partially due to the challenges of obtaining sufficient data to study such rare events. Here, we assess the effect of changes in ECE patterns in a long‐term study of great tits, near Oxford, over a 56‐year period between 1965 and 2020. We document marked changes in the frequency of temperature ECEs, with cold ECEs being twice as frequent in the 1960s than at present, and hot ECEs being ~three times more frequent between 2010 and 2020 than in the 1960s. While the effect of single ECEs was generally quite small, we show that increased exposure to ECEs often reduces reproductive output, and that in some cases the effect of different types of ECE is synergistic. We further show that long‐term temporal changes in phenology, resulting from phenotypic plasticity, lead to an elevated risk of exposure to low temperature ECEs early in reproduction, and hence suggest that changes in ECE exposure may act as a cost of plasticity. Overall, our analyses reveal a complex set of risks of exposure and effects as ECE patterns change and highlight the importance of considering responses to changes in both mean climate and extreme events. Patterns in exposure and effects of ECEs on natural populations remain underexplored and continued work will be vital to establish the impacts of ECEs on populations in a changing climate.
Effects of electroacupuncture on glial scar generation in SCI model rats

Spinal cord injury (SCI) is a commonly occurring and severe form of central nervous system (CNS) injury. Previous studies have demonstrated that electroacupuncture (EA) therapy promotes recovery from SCI. In this study, we observed changes in the glial scars of rats with SCI to gain insight into how EA therapy positively influences locomotor function. The experimental rats were randomly divided into three groups: the sham group, the SCI group and the SCI + EA group. Rats in the SCI + EA group received a 28‐day treatment course using the Dazhui (GV14) acupoint and the Mingmen (GV4) acupoint for 20 min/day. The Basso–Beattie–Bresnahan (BBB) score was used to estimate the neural function of rats in all groups. We found that before sacrifice on Day 28, the BBB score was significantly improved in the SCI + EA group, which was higher than that observed in the SCI group. Hematoxylin–eosin staining revealed morphological improvements in spinal cord tissues of the rats in the EA + SCI group with reduced glial scars and cavities. Based on immunofluorescence staining, reactive astrocytes overpopulated both the SCI and SCI + EA groups following SCI. Moreover, improved generation of reactive astrocytes at lesions was observed in the SCI + EA group compared with the SCI group. After treatment, EA inhibited glial scar generation. EA effectively downregulated fibrillary acidic protein (GFAP) and vimentin protein and mRNA expression levels, according to the results from Western blot assays and reverse transcription–polymerase chain reaction (RT–PCR). We hypothesized that these findings described might represent the mechanism underlying EA inhibition of glial scar generation, morphological improvements in tissues and promotion of neural recovery from SCI in rats.
Gut microbiome-brain-cirrhosis axis.

Cirrhosis is characterized by inflammation, degeneration, and fibrosis of liver tissue. Along with being the most common cause of liver failure and liver transplant, cirrhosis is a significant risk factor for several neuropsychiatric conditions. The most common of these is hepatic encephalopathy, which is characterized by cognitive and ataxic symptoms, resulting from buildup of metabolic toxins with liver failure. However, cirrhosis patients also show a significantly increased risk for neurodegenerative diseases such as Alzheimer's and Parkinson's diseases, and for mood disorders such as anxiety and depression. In recent years, more attention has been played to communication between the ways the gut and liver communicate with each other and with the central nervous system, and the way these organs influence each other's function. This bidirectional communication has come to be known as the gut-liver-brain axis. The gut microbiome has emerged as a key mechanism affecting gut-liver, gut-brain, and brain-liver communication. Clinical studies and animal models have demonstrated significant patterns of gut dysbiosis when cirrhosis is present, both with or without concomitant alcohol use disorder, and have provided compelling evidence that this dysbiosis also influences cognitive and mood-related behaviors. In this review, we have summarized the pathophysiological and cognitive effects associated with cirrhosis, links to cirrhosis-associated disruption of the gut microbiome, and the current evidence from clinical and pre-clinical studies for modulation of the gut microbiome as a treatment for cirrhosis and associated neuropsychiatric conditions.
Stochastic dynamics and model reduction of amplifier flows: the backward facing step flow

Abstract Methods for investigating and approximating the linear dynamics of amplifier flows are examined in this paper. The procedures are derived for incompressible flow over a two-dimensional backward-facing step. First, the singular value decomposition of the resolvent is performed over a frequency range in order to identify the optimal and suboptimal harmonic forcing and responses of the flow. These forcing/responses are shown to be organized into two categories: the first accounting for the Orr and Kelvin–Helmholtz instabilities in the shear layer and the second for the advection and diffusion of perturbations in the free stream. Next, we investigate the dynamics of the flow when excited by a white in space and time noise. We compute the predominant patterns of the random flow which optimally account for the sustained variance, the empirical orthogonal functions (EOFs), as well as the predominant forcing structures which optimally contribute to the sustained variance, the stochastic optimals (SOs). The leading EOFs and SOs are expressed as a linear combination of the suboptimal forcing and responses of the flow and are related to particular instability mechanisms and/or frequency intervals. Finally, we use the leading EOFs, SOs and balanced modes (obtained from balanced truncation) to build low-order models of the flow dynamics. These models are shown to accurately recover the time propagator and resolvent of the original dynamical system. In other words, such models capture the entire flow response from any forcing and may be used in the design of efficient closed-loop controllers for amplifier flows.
A hypothetical intervention of the timing of dietary intake on weight and body composition after initial weight loss

This study estimated the effect of hypothetical interventions of higher and lower frequency of breakfast and post‐dinner snack consumption (breakfast consumption 0‐4 vs. 5‐7 times/week and post‐dinner snack consumption 0‐2 vs. 3‐7 times/week) on changes in body weight and composition over 18 months after a successful 6‐month standard behavioral weight‐loss program.
Mycoplasma bovis testing for the screening of semen imported into New Zealand

ABSTRACT Aims To evaluate the fitness of three PCR assays for the detection of Mycoplasma bovis in dilute (extended) bovine semen, and a reverse transcriptase-PCR (RT-PCR) adaptation as a proxy for viability. Materials and methods Four commercial kit-based methods for nucleic acid extraction were compared to test for the presence of PCR inhibitors in nucleic acid extracted from undiluted and diluted semen. Then, analytical sensitivity, analytical specificity, and diagnostic specificity of two real-time PCR and one conventional PCR were evaluated for the detection of M. bovis DNA in semen and compared against microbial culture. Furthermore, an RT-PCR was adapted to detect RNA only and tested on viable and non-viable M. bovis to establish its ability to discriminate between the two. Results No significant PCR inhibition was detected from the dilute semen. All DNA extraction methods except one were equivalent, regardless of semen dilution. The analytical sensitivity of the real-time PCR assays was estimated as 45.6 cfu per 200 µL semen straw (2.2 × 102 cfu/mL). The conventional PCR was 10 times less sensitive. No cross-reactivity was observed for the real-time PCR for any of the bacteria tested and the diagnostic specificity was estimated as 100 (95% CI = 94.04–100) %. The RT-PCR was poor in distinguishing between viable and non-viable M. bovis. The mean quantification cycle (Cq) values for RNA extracted from different treatments to kill M. bovis remained unchanged 0–48 hours after inactivation. Conclusion and clinical relevance The real-time PCR were fit for the purpose of screening dilute semen for the detection of M. bovis to prevent incursion via importation of infected semen. The real-time PCR assays can be used interchangeably. The RT-PCR could not reliably indicate the viability of M. bovis. Based on the results from this study, a protocol and guidelines have been produced for laboratories elsewhere that wish to test bovine semen for M. bovis.
Plasmonic nano-antennas for spectral emissivity engineering

We demonstrate experimentally that plasmonic nanoantennas made of metal-insulator-metal ribbons can be used to tailor the spectral emissivity of a gold surface in the infrared. Two areas of a gold mirror sample were covered with various combinations of nanoantennas. Their emissivity was characterized thanks to a dedicated bench, based on the combination of a Fourier transform spectrometer and a microbolometer infrared camera. A near unity polarized emission on two distinct infrared bands is obtained on the respective two areas, which is coherent with theoretical predictions.
Behavioral variant frontotemporal dementia in patients with primary psychiatric disorder: A magnetic resonance imaging study

The clinical diagnosis of behavioral variant frontotemporal dementia (bvFTD) in patients with a history of primary psychiatric disorder (PPD) is challenging. PPD shows the typical cognitive impairments observed in patients with bvFTD. Therefore, the correct identification of bvFTD onset in patients with a lifetime history of PPD is pivotal for an optimal management.
Analysing truncated data with semiparametric transformation models

Left-truncation often arises when patient information, such as time of diagnosis, is gathered retrospectively. In some cases, the distribution function, say G(x), of left-truncated variables can be parameterized as G(x; θ), where θ∈Θ⊂Rq and θ is a q-dimensional vector. Under semiparametric transformation models, we demonstrated that the approach of Chen et al. (Semiparametric analysis of transformation models with censored data. Biometrika. 2002;89:659–668) can be used to analyse this type of data. The asymptotic properties of the proposed estimators are derived. A simulation study is conducted to investigate the performance of the proposed estimators.
Third‐order‐accurate semi‐implicit Runge–Kutta scheme for incompressible Navier–Stokes equations

A semi‐implicit three‐step Runge–Kutta scheme for the unsteady incompressible Navier–Stokes equations with third‐order accuracy in time is presented. The higher order of accuracy as compared to the existing semi‐implicit Runge–Kutta schemes is achieved due to one additional inversion of the implicit operator I‐τγL, which requires inversion of tridiagonal matrices when using approximate factorization method. No additional solution of the pressure‐Poisson equation or evaluation of Navier–Stokes operator is needed. The scheme is supplied with a local error estimation and time‐step control algorithm. The temporal third‐order accuracy of the scheme is proved analytically and ascertained by analysing both local and global errors in a numerical example. Copyright © 2005 John Wiley & Sons, Ltd.
Experimental Investigation of the Stellar Reaction 30S(p,γ)31Cl via Coulomb Dissociation

Coulomb dissociation of the proton-rich nucleus 31Cl was studied experimentally using a 31Cl beam at 58 MeV/nucleon with a lead target. The relative energy spectrum of 30S+p system was obtained from the measured momentum vectors of the reaction products detected in coincidence by the invariant mass method. The first excited state in 31Cl was observed which is relevant to the resonant capture in the stellar 30S(p,γ)31Cl reaction. Discussion for another observed state is also given.
Theoretical study of the minor field component power in birefringent and nonbirefringent fibers

Previous studies have suggested that the minor field component power in highly birefringent fibers is dramatically greater (20-30 dB) than that of conventional fibers. A detailed theoretical study of this phenomenon is presented which demonstrates that this is not always the case, and furthermore shows for a highly birefringent bowtie fiber that minimum minor component power and maximum birefringence are achievable simultaneously. >
V-ATPase Regulates Retinal Progenitor Cell Proliferation During Eye Regrowth in Xenopus

Purpose: The induction of retinal progenitor cell (RPC) proliferation is a strategy that holds promise for alleviating retinal degeneration. However, the mechanisms that can stimulate RPC proliferation during repair remain unclear. Xenopus tailbud embryos successfully regrow functional eyes within 5 days after ablation, and this process requires increased RPC proliferation. This model facilitates identification of mechanisms that can drive in vivo reparative RPC proliferation. This study assesses the role of the essential H+ pump, V-ATPase, in promoting stem cell proliferation. Methods: Pharmacological and molecular loss of function studies were performed to determine the requirement for V-ATPase during embryonic eye regrowth. The resultant eye phenotypes were examined using histology and antibody markers. Misexpression of a yeast H+ pump was used to test whether the requirement for V-ATPase in regrowth is dependent on its H+ pump function. Results: V-ATPase inhibition blocked eye regrowth. Regrowth-incompetent eyes resulting from V-ATPase inhibition contained the normal complement of tissues but were much smaller. V-ATPase inhibition caused a significant reduction in reparative RPC proliferation but did not alter differentiation and patterning. Modulation of V-ATPase activity did not affect apoptosis, a process known to be required for eye regrowth. Finally, increasing H+ pump activity was sufficient to induce regrowth. Conclusions: V-ATPase is required for eye regrowth. These results reveal a key role for V-ATPase in activating regenerative RPC proliferation and expansion during successful eye regrowth.
Prolonged fasting outperforms short-term fasting in terms of glucose tolerance and insulin release: a randomised controlled trial

Abstract Fasting is related to glucose intolerance and insulin resistance, but it is unknown whether the duration of fasting influences these factors. We explored whether prolonged fasting increases norepinephrine and ketone concentrations and decreases core temperature to a greater extent than short-term fasting; if so, this should lead to improved glucose tolerance. Forty-three healthy young adult males were randomly assigned to undergo a 2-d fast, 6-d fast or the usual diet. Changes in rectal temperature (TR), ketone and catecholamine concentrations, glucose tolerance and insulin release in response to an oral glucose tolerance test were assessed. Both fasting trials increased ketone concentration, and the effect was larger after the 6-d fast (P < 0·05). TR and epinephrine concentration increased only after the 2-d fast (P < 0·05). Both fasting trials increased the glucose area under the curve (AUC) (P < 0·05), but the AUC remained higher than the baseline value after participants returned to their usual diet in the 2-d fast group (P < 0·05). Neither fasting had an immediate effect on the insulin AUC, although it increased after return to their usual diet in the 6-d fast group (P < 0·05). These data suggest that the 2-d fast elicited residual impaired glucose tolerance, which may be linked to greater perceived stress during short-term fasting, as shown by the epinephrine response and change in core temperature. By contrast, prolonged fasting seemed to evoke an adaptive residual mechanism that is related to improved insulin release and maintained glucose tolerance.