Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors and mortality of patients with delayed pulmonary embolism diagnosis: A cohort study

Background: Some earlier studies demonstrated an increased mortality risk attributed to delayed pulmonary embolism (PE) diagnosis. Therefore, we mainly aimed to determine the predictors of diagnostic delays and the effect of delayed diagnosis on mortality. Methods: We prospectively studied 756 consecutive patients admitted with PE between March 2007 and September 2017. The delayed diagnosis was defined as (1) patient presenting > 7 days after onset of symptoms, (2) diagnosis takes > 24 hours upon arriving in the ED, or (3) undergoing coronary angiography before establishing PE diagnosis. Results: A total of 127 (16.7%) patients met the delayed group’s criteria. Heart failure (OR= 2.257, 95% CI: 1.130-4.508, P= 0.021), diabetes mellitus (OR= 1.568, 95% CI: 0.996-2.469, P= 0.052), and precordial T wave inversions (OR=2.559, 95% CI: 1.649-3.970, P< 0.001) were linked to higher rates of delayed diagnosis, while hemoptysis (OR=0.254, 95% CI: 0.059-1.087, P= 0.065) and hemodynamic instability (OR= 0.434, 95% CI: 0.168-1.123, P= 0.085) negatively correlated with it. Delayed PE diagnosis did not significantly impact the overall survival during the follow-up. The unadjusted and adjusted mortality hazard ratio for delayed diagnosis were 1.198 (95% CI: 0.758- 1.894, P= 0.439) and 1.215 (95% CI: 0.762- 1.939, P=0.413), respectively. Older age, heart failure, and hemodynamic instability increased the risk of death (p<0.001). Conclusion: Hemoptysis, hemodynamic instability, diabetes mellitus, heart failure, and T wave inversions in precordial leads were the independent predictors of delayed diagnosis. Delayed PE diagnosis did not increase the patients' mortality rates.
Association of serum calcium levels with infarct volume and stroke scores in acute ischemic stroke patients: An observational study

Background: Stroke vastly contributes to death and disability worldwide. Acute ischemic stroke (AIS) is caused by a reduction in supply of blood to the brain. Accumulation of unnecessary intracellular serum calcium in AIS induces the cytotoxic actions that activates enzymes involved in cell death. The present investigation assessed the relationship of total serum calcium level (at admission) and initial diffusion weighted imaging (DWI) infarct volume and correlated with National Institute of Health Stroke Scale (NIHSS) scores. Methods: A hospital-based observational study was conducted on 74 consecutive patients identified with AIS fulfilling the inclusion criteria. NIHSS scores and serum ionized calcium were calculated in every patient and compared with DWI infarct volume for assessing correlation between these three. Statistical software R Version 4.0. 2 and Microsoft Excel were used for statistical analysis. Results: Out of the 74 patients, most of them were in age group of 50-69 years, with a male preponderance (68.9%). A significant association was noticed between diabetes and dyslipidemia with age (P=0.01499). A strong negative correlation was observed between NIHSS scores (at admission & discharge) with ionized calcium, while a strong positive correlation was noticed between stroke scores with infarct volume. A statistically significant negative correlation was recorded between serum calcium (on admission) and infarct size (r=-0.851755, P=0.0001). The mean of NIHSS scores on admission (8.24±5.19) has been remarkably higher when compared with NIHSS scores at discharge (5.25±3.89). Conclusion: In patients with AIS examined within 6-24 hours of symptoms onset, serum ionized calcium and volume of infarct on DWI showed inverse association. Serum calcium serves as a marker of severity and acts as prognostic factor in AIS.
Identiﬁcation and expression analysis of IL-2 receptors in large yellow croaker ( Larimichthys crocea )

Interleukin-2 (IL-2) signals inﬂuence various lymphocyte subsets during diﬀerentiation, immune responses and homeostasis. IL-2 acts on diﬀerent cells by binding to its receptors (IL-2R), which consists of three subunits, IL-2R 𝛼 (CD25), IL-2R 𝛽 (CD122), and the common gamma chain or 𝛾 c (CD132). In the present study, three IL-2 receptor subunits, designated as Lc CD25-like ( Lc CD25L), Lc IL-2R 𝛽 and Lc 𝛾 c, were characterized in large yellow croaker ( Larimichthys crocea ). The Lc CD25L, like other teleost CD25L or IL-2/IL-15R 𝛼 , contains only one sushi domain at N-terminus. The synteny of CD25L from diﬀerent teleost are conserved. The deduced protein of Lc IL-2R 𝛽 and Lc 𝛾 c exhibits a typical class I cytokine receptors architecture, including a cytokine-binding homology domain (CHD) consisting of two ﬁbronectin type-III (FNIII) domains (D1 and D2) and a conserved WSXWS motif in D2 domain. These three IL-2 receptor subunits were constitutively expressed in all tissues and primary immune-related cells examined. The Lc CD25L was highly expressed in blood, while Lc IL-2R 𝛽 and Lc 𝛾 c were highly expressed in spleen and gill. For immune-related cells, Lc CD25L and Lc IL-2R 𝛽 were highly expressed in PKLs, while the Lc 𝛾 c exhibited the highest expression in PKMs. These three IL-2 receptor subunits could be dramatically induced by T cell mitogen PHA in PKLs, which mainly composed of T and B lymphocytes . The results presented indicated that large yellow croaker IL-2R might exercise function on lymphocytes, especially on activated T cells.
Speaker Recognition and Verification using Linear Prediction Analysis

The speaker recognition and verification effectiveness of a set of 92 measurements was examined. These measurements included the formant structure of vowels, the duration of certain speech events, the dynamic behavior of the formant contours, various aspects of the pitch contour throughout an utterance, formant bandwidths, glottal source “poles,” and pole and zero locations during the production of nasals and strident consonants. Linear prediction methods were employed in the analysis, and a probability of error criterion was devised to evaluate the speaker‐characterizing potential of the measurements. The experimental speech data were collected during five different recording sessions, the last session being 312 years after the original recordings. The measurements that were found most useful were related to the nasals, certain vowel resonances, certain temporal attributes, and average fundamental frequency. A speaker identification experiment using only the five “best” measurements resulted in only one .
On factor rigidity and joining classification for infinite volume rank one homogeneous spaces.

We classify locally finite joinings with respect to the Burger-Roblin measure and the action of a horospherical subgroup on $\Gamma \backslash G$, where $G = \operatorname{SO}(n,1)^\circ$ and $\Gamma$ is a convex cocompact and Zariski dense subgroup of $G$. This extends the classification by Oh and Mohammadi obtained in the case that $G = \operatorname{PSL}_2(\mathbb{R})$ or $\operatorname{PSL}_2(\mathbb{C})$ and $\Gamma$ is geometrically finite and Zariski dense.
Experimental factors that impact CaV1.2 channel pharmacology—Effects of recording temperature, charge carrier, and quantification of drug effects on the step and ramp currents elicited by the “step-step-ramp” voltage protocol

Background and purpose CaV1.2 channels contribute to action potential upstroke in pacemaker cells, plateau potential in working myocytes, and initiate excitation-contraction coupling. Understanding drug action on CaV1.2 channels may inform potential impact on cardiac function. However, literature shows large degrees of variability between CaV1.2 pharmacology generated by different laboratories, casting doubt regarding the utility of these data to predict or interpret clinical outcomes. This study examined experimental factors that may impact CaV1.2 pharmacology. Experimental approach Whole cell recordings were made on CaV1.2 overexpression cells. Current was evoked using a “step-step-ramp” waveform that elicited a step and a ramp current. Experimental factors examined were: 1) near physiological vs. room temperature for recording, 2) drug inhibition of the step vs. the ramp current, and 3) Ca2+ vs. Ba2+ as the charge carrier. Eight drugs were studied. Key results CaV1.2 current exhibited prominent rundown, exquisite temperature sensitivity, and required a high degree of series resistance compensation to optimize voltage control. Temperature-dependent effects were examined for verapamil and methadone. Verapamil’s block potency shifted by up to 4X between room to near physiological temperature. Methadone exhibited facilitatory and inhibitory effects at near physiological temperature, and only inhibitory effect at room temperature. Most drugs inhibited the ramp current more potently than the step current—a preference enhanced when Ba2+ was the charge carrier. The slopes of the concentration-inhibition relationships for many drugs were shallow, temperature-dependent, and differed between the step and the ramp current. Conclusions and implications All experimental factors examined affected CaV1.2 pharmacology. In addition, whole cell CaV1.2 current characteristics—rundown, temperature sensitivity, and impact of series resistance—are also factors that can impact pharmacology. Drug effects on CaV1.2 channels appear more complex than simple pore block mechanism. Normalizing laboratory-specific approaches is key to improve inter-laboratory data reproducibility. Releasing original electrophysiology records is essential to promote transparency and enable the independent evaluation of data quality.
On quantum field theory with nonzero minimal uncertainties in positions and momenta

We continue studies on quantum field theories on noncommutative geometric spaces, focusing on classes of noncommutative geometries which imply ultraviolet and infrared modifications in the form of nonzero minimal uncertainties in positions and momenta. The case of the ultraviolet modified uncertainty relation which has appeared from string theory and quantum gravity is covered. The example of Euclidean φ4-theory is studied in detail and in this example we can now show ultraviolet and infrared regularization of all graphs.
Hamiltonian Quantization of Chern-Simons theory with SL(2,C) Group

We analyze the hamiltonian quantization of Chern-Simons theory associated to the real group SL(2,C)R, universal covering of the Lorentz group SO(3, 1). The algebra of observables is generated by finite dimensional spin networks drawn on a punctured topological surface. Our main result is a construction of a unitary representation of this algebra. For this purpose we use the formalism of combinatorial quantization of Chern-Simons theory, i.e we quantize the algebra of polynomial functions on the space of flat SL(2,C)R−connections on a topological surface Σ with punctures. This algebra, the so called moduli algebra, is constructed along the lines of Fock-Rosly, Alekseev-Grosse-Schomerus, Buffenoir-Roche using only finite dimensional representations of Uq(sl(2,C)R). It is shown that this algebra admits a unitary representation acting on an Hilbert space which consists in wave packets of spin-networks associated to principal unitary representations of Uq(sl(2,C)R). The representation of the moduli algebra is constructed using only Clebsch-Gordan decomposition of a tensor product of a finite dimensional representation with a principal unitary representation of Uq(sl(2,C)R). The proof of unitarity of this representation is non trivial and is a consequence of properties of Uq(sl(2,C)R) intertwiners which are studied in depth. We analyze the relationship between the insertion of a puncture colored with a principal representation and the presence of a world-line of a massive spinning particle in de Sitter space.
Quantum graphs as holonomic constraints

We consider the dynamics on a quantum graph as the limit of the dynamics generated by a one-particle Hamiltonian in R2 with a potential having a deep strict minimum on the graph, when the width of the well shrinks to zero. For a generic graph we prove convergence outside the vertices to the free dynamics on the edges. For a simple model of a graph with two edges and one vertex, we prove convergence of the dynamics to the one generated by the Laplacian with Dirichlet boundary conditions in the vertex.
Understanding the in silico aspects of bacterial catabolic cascade for styrene degradation

Styrene is a nonpolar organic compound used in very high volume for the industrial scale production of commercially important polymers such as polystyrene resins as well as copolymers like acrylonitrile butadiene styrene, latex, and rubber. These resins are widely used in the manufacturing of various products including single‐use plastics such as disposable cups and containers, protective packaging, heat insulation, and so forth. The large‐scale utilization leads to the over‐accumulation of styrene waste in the environment causing deleterious health risks including cancer, neurological impairment, dysbiosis of central nervous system, and respiratory problems. To eliminate the accumulating waste. Microbial enzyme‐based system represents the most environmental friendly and sustainable approach for elimination of styrene waste. However, comprehensive understanding of the enzyme–substrate interaction and associated pathways would be crucial for developing large‐scale disposal systems. This study aims to understand the molecular interaction between the protein‐ligand complexes of the styrene catabolic reactions by bacterial enzymes of sty operon. Molecular docking analysis for catalytic enzymes namely, styrene monooxygenase (SMO), styrene oxide isomerase (SOI), and phenylacetaldehyde dehydrogenase (PAD) of the bacterial sty operon was carried out with their individual substrates, that is, styrene, styrene oxide, and phenylacetic acid, respectively. The binding energy, amino acids forming binding cavity, and binding interactions between the protein‐ligand binding sites were calculated for each case. The obtained binding energies showed a stable association of these complexes indicating the future scope of their utilization for large‐scale bioremediation of styrene, and its commercially used polymers and copolymers.
Overlap between genetic variants associated with schizophrenia spectrum disorders and intelligence quotient: a systematic review

Background: To study whether there is genetic overlap underlying the risk for schizophrenia spectrum disorders (SSDs) and low intelligence quotient (IQ), we reviewed and summarized the evidence on genetic variants associated with both traits. Methods: We performed this review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and preregistered it in PROSPERO. We searched the Medline databases via PubMed, PsycInfo, Web of Science and Scopus. We included studies in adults with a diagnosis of SSD that explored genetic variants (single nucleotide polymorphisms [SNPs], copy number variants [CNVs], genomic insertions or genomic deletions), estimated IQ and studied the relationship between genetic variability and both traits (SSD and IQ). We synthesized the results and assessed risk of bias using the Quality of Genetic Association Studies (Q-Genie) tool. Results: Fifty-five studies met the inclusion criteria (45 case–control, 9 cross-sectional, 1 cohort), of which 55% reported significant associations for genetic variants involved in IQ and SSD. The SNPs more frequently explored through candidate gene studies were in COMT, DTNBP1, BDNF and TCF4. Through genome-wide association studies, 2 SNPs in CHD7 and GATAD2A were associated with IQ in patients with SSD. The studies on CNVs suggested significant associations between structural variants and low IQ in patients with SSD. Limitations: Overall, primary studies used heterogeneous IQ measurement tools and had small samples. Grey literature was not screened. Conclusion: Genetic overlap between SSD and IQ supports the neurodevelopmental hypothesis of schizophrenia. Most of the risk polymorphisms identified were in genes relevant to brain development, neural proliferation and differentiation, and synaptic plasticity.
Keel bone fractures in broiler breeders: is palpation a reliable diagnostic method?

ABSTRACT The aim of this study was to estimate the sensitivity and specificity of palpation relative to necropsy for detection of keel bone fractures (KBF) in broiler breeders. In addition, the study investigated observer reliability of palpation. Four commercial breeder flocks (Ross 308 n = 2, Ranger Gold n = 1, Hubbard JA 757, n = 1) were included in the study. A total of 400 hens and 60 roosters were examined after culling or slaughter, at end of lay (63 weeks). Keel bones were first palpated independently by two raters with a varying degree of experience in palpation of keel bones in laying hens. After palpation, a necropsy with investigation of the keel bone was conducted. The prevalence of KBF at end of lay for hens, as diagnosed by necropsy, varied from 14-58%, while only one in 60 assessed roosters had KBF. Palpation had poor sensitivity, with differences between raters ranging from 56% to 36% when hybrid is not considered. The specificity of palpation for all hybrids together was 85% and 88%, for the two raters, respectively. The two raters had moderate agreement, Gwet’s agreement coefficient (95% confidence interval): 0.60 (0.52–0.69). In conclusion, palpation has poor diagnostic accuracy for detection of KBF in broiler breeders, and other methods, like necropsy, must be applied for reliable assessments. KBF appears to be a prevalent condition in different hybrids of broiler breeder hens, but not in roosters. RESEARCH HIGHLIGHTS This is the first study to investigate palpation as a diagnostic method for detection of KBF in broiler breeders. Palpation has poor diagnostic accuracy for detection of KBF in broiler breeder hens with differences between raters. KBF can be a prevalent problem in broiler breeder hens of several hybrids, but not in roosters.
Role of flavonoids in management of various biological targets in Alzheimer's Disease: evidence from preclinical to clinical studies.

More than 10 million people worldwide have Alzheimer's disease (AD), a degenerative neurological illness and the most prevalent form of dementia. AD's progression in memory loss, cognitive deterioration, and behavioral changes are all symptoms. Amyloid-beta 42 (Aβ42), the hyperphosphorylated forms of microtubule-associated tau protein, and other cellular and systemic alterations are all factors that contribute to cognitive decline in AD. Rather than delivering a possible cure, present therapy strategies focus on reducing disease symptoms. It has long been suggested that various naturally occurring small molecules (plant extract products and microbiological isolates, for example) could be beneficial in preventing or treating disease. Small compounds, such as flavonoids, have attracted much interest recently due to their potential to alleviate cellular stress. Flavonoids have been proven helpful in various ways, including antioxidants, anti-inflammatory agents, and anti-apoptotic agents, but their mechanism remains unknown. The flavonoid therapy of Alzheimer's disease focuses on this review, which includes a comprehensive literature analysis.
Prognostic value of renal failure in patients undergoing transvenous lead extraction: single centre experience and systematic review of the literature

ABSTRACT Introduction Cardiac implantable electronic device infections (CIEDI) are challenging complications, associated with high mortality rate. Transvenous lead extraction (TLE) is the only curative treatment for CIEDI. Albeit continuous improvement in tools and techniques dramatically decreased TLE associated complications, survival after TLE for CIEDI is still poor. Renal failure (RF) is frequently reported in candidates to TLE, but due to variability in its definition, the real prevalence is not well defined. Objective Considering the impact of RF on mortality among patients affected by cardiovascular diseases, we aimed our research at defining the role of RF as a predictor of post-TLE mortality. Method and Results We will provide the results of a systematic revision of literature on the impact of RF on mortality at different time points after TLE, according to the various definitions adopted for RF. Considering the high variability of literature in this field, we will provide the results of an explorative analysis comparing the different definitions of RF on clinical outcomes in a cohort of candidates to TLE for CIEDI in a high-volume referral center. Conclusion We discuss the possible reasons of the negative impact of RF after TLE, providing new perspectives for future research.
Development of the Fokker‐Planck Equation and its solutions for modeling transport of conservative and reactive solutes in physically heterogeneous media

When a scale-dependent fractal dispersivity is introduced in the convective-dispersive equation of transport in subsurface flow, the Fokker-Planck equation (FPE), also known as the second diffusion equation, is derived. Similarity solutions of the one-dimensional FPE, subject to a Dirac delta function input, are also presented. The similarity solution is shown to function as a kernel in the convolution integral to yield an output on a real timescale. The input function is derived by a procedure known as the inverse problem with the aid of Laplace transform. The FPE and its solutions contain a fractal dimension D and cutoff limit ϵ, two shape parameters β and γ in the FPE, and other parameters that appear in Darcy's law. A two-dimensional FPE and its solutions have been presented elsewhere. It is reasoned that the scale-dependent dispersion in unsaturated flow is also an issue for investigation.
Prenatal Exposure to Per- and Polyfluoroalkyl Substances, Maternal Thyroid Dysfunction, and Child Autism Spectrum Disorder

Autism spectrum disorder (ASD), with its high economic and societal costs, is a growing public health concern whose prevalence has risen steadily over the last two decades. Although actual increased incidence versus improved diagnosis remains controversial, the increased prevalence of ASD suggests non-inherited factors as likely contributors. There is increasing epidemiologic evidence that abnormal maternal thyroid function during pregnancy is associated with increased risk of child ASD and other neurodevelopmental disorders. Prenatal exposure to endocrine-disrupting chemicals such as per- and polyfluoroalkyl substances (PFAS) is known to disrupt thyroid function and can affect early brain development; thus, thyroid dysfunction is hypothesized to mediate this relationship. The concept of a potential pathway from prenatal PFAS exposure through thyroid dysfunction to ASD etiology is not new; however, the extant literature on this topic is scant. The aim of this review is to evaluate and summarize reports with regard to potential mechanisms in this pathway.
Review of relationships between grey-tone co-occurrence, semivariance, and autocorrelation based image texture analysis approaches

In the present paper we review relationships between commonly used statistical approaches to analysis of image texture. The approaches considered characterize image texture by means of the statistics of grey-tone co-occurrence contrast, grey-tone co-occurrence correlation, semivariance, and autocorrelation. In the literature, the relationships between these textural measures are rarely discussed and sometimes overlooked. Grey-tone co-occurrence contrast and semivariance are shown to represent identical statistics. The expectations for the statistic of grey-tone co-occurrence correlation and the coefficient of autocorrelation are demonstrated to agree. Grey-tone variance is shown to link the statistics of grey-tone co-occurrence contrast and grey-tone co-occurrence correlation.