Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of gelatinase B in human monocytic and endothelial cells by PECAM‐1 ligation and its modulation by interferon‐beta

Platelet endothelial cell adhesion molecule‐1 (PECAM‐1 or CD31) andgelatinase B are coexpressed at sites of inflammation, where an intenseinteraction occurs between leukocytes and endothelial cells. Toinvestigate whether a functional link exists between PECAM‐1 activationand gelatinase B production, the regulatory role of PECAM‐1, IFN‐γ,IFN‐β, LPS, and PMA on the production of gelatinase B (MMP‐9) wasstudied in vitro in normal human umbilical vein endothelial cells(HUVECs), human peripheral blood mononuclear cells (PBMCs), and in ahuman monocytic leukemia cell line. In THP‐1 cells, progelatinase Blevels were slightly up‐regulated by immobilized PECAM‐1‐specificmonoclonal antibody (mAb) and soluble recombinant PECAM‐1 when comparedwith strong induction by LPS and PMA. IFN‐β inhibited the induced andbasal gelatinase B production but had no modulating effect on theexpression of PECAM‐1. HUVECs mainly produced progelatinase A(proMMP‐2). Treatment with LPS and triggering of the endothelial cellswith PECAM‐1 mAb or recombinant PECAM‐1 had no effect on gelatinase Aor B production, whereas PMA stimulated the production of progelatinaseB. IFN‐β significantly up‐regulated the expression of PECAM‐1 inHUVECs but did not affect gelatinase secretion. Finally, in PBMCs, progelatinase B production was increased by soluble PECAM‐1 mAb, recombinant PECAM‐1, LPS, and PMA, whereas IFN‐β reduced gelatinase Bsecretion. IFN‐β did not alter PECAM‐1 expression on PBMCs. Thus, PECAM‐1 and gelatinase B are differently regulated in leukocytes andendothelial cells.
Complement inhibition decreases early fibrogenic events in the lung of septic baboons

Acute respiratory distress syndrome (ARDS) induced by severe sepsis can trigger persistent inflammation and fibrosis. We have shown that experimental sepsis in baboons recapitulates ARDS progression in humans, including chronic inflammation and long‐lasting fibrosis in the lung. Complement activation products may contribute to the fibroproliferative response, suggesting that complement inhibitors are potential therapeutic agents. We have been suggested that treatment of septic baboons with compstatin, a C3 convertase inhibitor protects against ARDS‐induced fibroproliferation. Baboons challenged with 109 cfu/kg (LD50) live E. coli by intravenous infusion were treated or not with compstatin at the time of challenge or 5 hrs thereafter. Changes in the fibroproliferative response at 24 hrs post‐challenge were analysed at both transcript and protein levels. Gene expression analysis showed that sepsis induced fibrotic responses in the lung as early as 24 hrs post‐bacterial challenge. Immunochemical and biochemical analysis revealed enhanced collagen synthesis, induction of profibrotic factors and increased cell recruitment and proliferation. Specific inhibition of complement with compstatin down‐regulated sepsis‐induced fibrosis genes, including transforming growth factor‐beta (TGF‐β), connective tissue growth factor (CTGF), tissue inhibitor of metalloproteinase 1 (TIMP1), various collagens and chemokines responsible for fibrocyte recruitment (e.g. chemokine (C‐C motif) ligand 2 (CCL2) and 12 (CCL12)). Compstatin decreased the accumulation of myofibroblasts and proliferating cells, reduced the production of fibrosis mediators (TGF‐β, phospho‐Smad‐2 and CTGF) and inhibited collagen deposition. Our data demonstrate that complement inhibition effectively attenuates collagen deposition and fibrotic responses in the lung after severe sepsis. Inhibiting complement could prove an attractive strategy for preventing sepsis‐induced fibrosis of the lung.
Stress-Intensity Factor Equations for Cracks in Three-Dimensional Finite Bodies

Empirical stress intensity factor equations are presented for embedded elliptical cracks, semi-elliptical surface cracks, quarter-elliptical corner cracks, semi-elliptical surface cracks at a hole, and quarter-elliptical corner cracks at a hole in finite plates. The plates were subjected to remote tensile loading. Equations give stress intensity factors as a function of parametric angle, crack depth, crack length, plate thickness, and where applicable, hole radius. The stress intensity factors used to develop the equations were obtained from three dimensional finite element analyses of these crack configurations.
Implied Copula CDO Pricing Model: Entropy Approach

A so-called “implied copula” CDO pricing model is considered for calibrating obligor hazard rates. To find the probability distribution of the hazard rates, Hull and White suggested minimizing the sum of deviations from no-arbitrage equations and a smoothing term. This paper proposes an alternative “entropy approach” to the implied copula model. The distribution is found by maximizing entropy with no-arbitrage constraints based on bid and ask prices of CDO tranches. To reduce the noise a new class of distributions is introduced, so-called “CCC distributions”. A case study shows that the entropy approach has a stable performance, while the Hull and White model is sensitive to the smoothing coecient and the number of hazard rates on the grid. The MATLAB code used for conducting numerical experiments is provided.
Management of high blood pressure in African Americans: consensus statement of the Hypertension in African Americans Working Group of the International Society on Hypertension in Blacks.

The purpose of this consensus statement is to offer primary care providers (including physicians, nurse practitioners, and physician assistants) a practical, evidence-based clinical tool for achieving blood pressure goals in African American patients. The need for specific recommendations for African Americans is highlighted by compelling evidence of a higher prevalence of hypertension and poorer cardiovascular and renal outcomes in this group than in white Americans. African Americans have disturbingly higher rates of cardiovascular mortality, stroke, hypertension-related heart disease, congestive heart failure, type 2 diabetes mellitus, hypertensive nephropathy, and end-stage renal disease (ESRD). 1,2 .
The maternal-to-zygotic transition: a play in two acts

All animal embryos pass through a stage during which developmental control is handed from maternally provided gene products to those synthesized from the zygotic genome. This maternal-to-zygotic transition (MZT) has been extensively studied in model organisms, including echinoderms, nematodes, insects, fish, amphibians and mammals. In all cases, the MZT can be subdivided into two interrelated processes: first, a subset of maternal mRNAs and proteins is eliminated; second, zygotic transcription is initiated. The timing and scale of these two events differ across species, as do the cellular and morphogenetic processes that sculpt their embryos. In this article, we discuss conserved and distinct features within the two component processes of the MZT.
Threshold Effects in the Relationship between Inflation and Growth

This paper re-examines the issue of the existence of threshold effects in the relationship between inflation and growth, using new econometric techniques that provide appropriate procedures for estimation and inference. The threshold level of inflation above which inflation significantly slows growth is estimated at 1-3 percent for industrial countries and 11-12 percent for developing countries. The negative and significant relationship between inflation and growth, for inflation rates above the threshold level, is quite robust with respect to the estimation method, perturbations in the location of the threshold level, the exclusion of high-inflation observations, data frequency, and alternative specifications.
Phenol Toxicity and Conjugation in Human Colonic Epithelial Cells

Background: Colonic epithelial cells are exposed to a range of potentially harmful luminal factors, including phenols, but it is unresolved whether these compounds impair the integrity of the epithelium. The aim of this study was to describe the effect of phenol exposure on human colonic epithelial cells in vitro and the conjugation pathways involved in detoxification. Methods: Primary human colonic epithelial cell cultures or HT-29 cell cultures were exposed to paracetamol, dinitrophenol or phenol (0.1-5 mM) for 24 h. Cell viability was measured using the methyltetrazoleum test. Phenol conjugation products released from cell cultures were identified by high-pressure liquid chromatography. Phenol glucuronidase (PGD) and sulphotransferase (PST) enzyme activities were measured in isolated cell homogenates. Results: Paracetamol, dinitrophenol and phenol ( S 1.25 mM) significantly impaired the viability of primary colonic epithelial cell cultures. No differences between cell cultures from ulcerative colitis and control patients were observed. Paracetamol (5 mM) also induced significant cell damage in HT-29 cells. Glucuronidation was the preferred conjugation pathway in both cell models, despite the presence of PGD and PST activity. Conclusion: Phenols have a direct toxic effect on human colonic epithelial cells in vitro, which supports the view that dietary fermentation metabolites may be involved in the modulation of chronic bowel inflammation.
Chemical and Genetic Diversity of Nodularia spumigena from the Baltic Sea

Nodularia spumigena is a toxic, filamentous cyanobacterium occurring in brackish waters worldwide, yet forms extensive recurrent blooms in the Baltic Sea. N. spumigena produces several classes of non-ribosomal peptides (NRPs) that are active against several key metabolic enzymes. Previously, strains from geographically distant regions showed distinct NRP metabolic profiles. In this work, conspecific diversity in N. spumigena was studied using chemical and genetic approaches. NRP profiles were determined in 25 N. spumigena strains isolated in different years and from different locations in the Baltic Sea using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Genetic diversity was assessed by targeting the phycocyanin intergenic spacer and flanking regions (cpcBA-IGS). Overall, 14 spumigins, 5 aeruginosins, 2 pseudaeruginosins, 2 nodularins, 36 anabaenopeptins, and one new cyanopeptolin-like peptide were identified among the strains. Seven anabaenopeptins were new structures; one cyanopeptolin-like peptide was discovered in N. spumigena for the first time. Based on NRP profiles and cpcBA-IGS sequences, the strains were grouped into two main clusters without apparent influence of year and location, indicating persistent presence of these two subpopulations in the Baltic Sea. This study is a major step in using chemical profiling to explore conspecific diversity with a higher resolution than with a sole genetic approach.
Topology preserving hashing for similarity search

Binary hashing has been widely used for efficient similarity search. Learning efficient codes has become a research focus and it is still a challenge. In many cases, the real-world data often lies on a low-dimensional manifold, which should be taken into account to capture meaningful neighbors with hashing. The importance of a manifold is its topology, which represents the neighborhood relationships between its subregions and the relative proximities between the neighbors of each subregion, e.g. the relative ranking of neighbors of each subregion. Most existing hashing methods try to preserve the neighborhood relationships by mapping similar points to close codes, while ignoring the neighborhood rankings. Moreover, most hashing methods lack in providing a good ranking for query results since they use Hamming distance as the similarity metric, and in practice, there are often a lot of results sharing the same distance to a query. In this paper, we propose a novel hashing method to solve these two issues jointly. The proposed method is referred to as Topology Preserving Hashing (TPH). TPH is distinct from prior works by preserving the neighborhood rankings of data points in Hamming space. The learning stage of TPH is formulated as a generalized eigendecomposition problem with closed form solutions. Experimental comparisons with other state-of-the-art methods on three noted image benchmarks demonstrate the efficacy of the proposed method.
Distant Metastases from Lip and Oral Cavity Cancer

Distant metastases related to lip carcinomas occur very exceptionally (0.5–2%) and can be expected in cases of advanced tumors with advanced regional disease. Distant metastases from oral cavity carcinomas variy over a broad interval (8–17%) and depend also on the stage of disease. The knowledge of the presence of distant metastases is vital for the planning of further treatment. From a clinical point of view, patients with lip and oral cavity can be divided into a group where the risk of distant metastases is low, and into a high-risk one. In low-risk group patients (stages I, II and III) the risk of the incidence of distant metastases is 3%, and the diagnostic approach should consist of an X-ray of the lungs and liver tests. Further examinations are necessary if there are symptoms suggesting the presence of distant metastases or previous examinations are abnormal. The high-risk group (stage IV) and all patients with locoregional relapse have a risk of distant metastases of approximately 10% and the best treatment consists of a positron emission tomography (PET) scan. If a PET scanner is not available it is recommended to run a computed tomography scan of the lungs and liver tests. If any clinical investigation is abnormal further tests are necessary.
Optimizing one-shot recognition with micro-set learning

For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional class. One-shot recognition aims to apply the knowledge gained from a set of categories with plentiful data to categories for which only a single exemplar is available for each. As with earlier efforts motivated by transfer learning, we seek an internal representation for the domain that generalizes across classes. However, in contrast to existing work, we formulate the problem in a fundamentally new manner by optimizing the internal representation for the one-shot task using the notion of micro-sets. A micro-set is a sample of data that contains only a single instance of each category, sampled from the pool of available data, which serves as a mechanism to force the learned representation to explicitly address the variability and noise inherent in the one-shot recognition task. We optimize our learned domain features so that they minimize an expected loss over micro-sets drawn from the training set and show that these features generalize effectively to previously unseen categories. We detail a discriminative approach for optimizing one-shot recognition using micro-sets and present experiments on the Animals with Attributes and Caltech-101 datasets that demonstrate the benefits of our formulation.
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group

Recently introduced cost-effective depth sensors coupled with the real-time skeleton estimation algorithm of Shotton et al. [16] have generated a renewed interest in skeleton-based human action recognition. Most of the existing skeleton-based approaches use either the joint locations or the joint angles to represent a human skeleton. In this paper, we propose a new skeletal representation that explicitly models the 3D geometric relationships between various body parts using rotations and translations in 3D space. Since 3D rigid body motions are members of the special Euclidean group SE(3), the proposed skeletal representation lies in the Lie group SE(3)×. ×SE(3), which is a curved manifold. Using the proposed representation, human actions can be modeled as curves in this Lie group. Since classification of curves in this Lie group is not an easy task, we map the action curves from the Lie group to its Lie algebra, which is a vector space. We then perform classification using a combination of dynamic time warping, Fourier temporal pyramid representation and linear SVM. Experimental results on three action datasets show that the proposed representation performs better than many existing skeletal representations. The proposed approach also outperforms various state-of-the-art skeleton-based human action recognition approaches.
Neutrophil serine proteases and their endogenous inhibitors in coronary artery ectasia patients

Objective: Proteolytic enzymes possibly contribute to coronary artery ectasia (CAE). This study aimed to determine whether neutrophils, neutrophil serine proteases (NSPs), and their endogenous inhibitors participated in the pathological process of CAE. Methods: The study consisted of 30 patients with CAE, 30 patients with coronary artery disease (CAD), and 29 subjects with normal coronary arteries (Control). The following circulating items were measured: the main NSPs, including human neutrophil elastase (HNE), cathepsin G (CG), and proteinase 3 (PR3); soluble elastin (sElastin), which was a degradation product of elastin fibres; NSP inhibitors such as α1-protease inhibitor (α1-PI), α2-macroglobulin (α2-MG), secretory leucoprotease inhibitor (SLPI), and elafin; as well as two neutrophil activation markers (myeloperoxidase and lactoferrin) and three classic neutrophil activators [tumor necrosis factor-α (TNF-α), interleukin-8 (IL-8), and bacterial endotoxin]. Results: The levels of HNE, CG, and sElastin were elevated in the CAE group. The levels of α1-PI and α2-MG were also significantly increased in the CAE group. The levels of myeloperoxidase and lactoferrin were higher in the CAE group. The levels of TNF-α, IL-8, and endotoxin were unchanged in the CAE group compared with those in the CAD group. Conclusion: Neutrophils may participate in the process of vessel extracellular matrix destruction and coronary ectasia by releasing NSPs in a non-classical manner.
The Role of Romantic Partners, Family, and Peer Networks in Dating Couples’ Views About Cohabitation

Emerging adults are increasingly cohabiting, but few studies have considered the role of social context in the formation of their views of cohabitation. Drawing on 40 semistructured interviews with dating couples, we explored the role of romantic partners, family, and peers on evaluations of cohabitation. In couples where each member had a differing view about cohabitation, one romantic partner’s desire to not cohabit trumped their partner’s more ambivalent feelings about cohabitation.The influence of family in the formation of cohabitation views was evident through a variety of mechanisms, including parental advice, social modeling, religious values, and economic control. Peers also played a key role, with couples using the vicarious trials of their peer networks to judge how cohabitation would affect their own relationship. By using a couple perspective, assessing reports from both members of each couple, this study showcases how beliefs about cohabitation are formed within an intimate dyad.
Brain and Brown Adipose Tissue Metabolism in Transgenic Tg2576 Mice Models of Alzheimer Disease Assessed Using 18F-FDG PET Imaging

Objective: Imaging animal models of Alzheimer disease (AD) is useful for the development of therapeutic drugs and understanding AD. Transgenic Swedish hAPPswe Tg2576 mice are a good model of β-amyloid plaques. We report 18F-fluoro-2-deoxyglucose (18F-FDG) positron emission tomography (PET) imaging of brain and intrascapular brown adipose tissue (IBAT) in transgenic mice 2576 (Tg2576) and wild-type (WT) mice. Methods: Transgenic Tg2576 mice and WT mice, >18 months were injected intraperitonally with ≈ 25 to 30 MBq 18F-FDG while awake. After 60 minutes, they were anesthetized with isoflurane (2.5%) and imaged with Inveon MicroPET. Select mice were killed, imaged ex vivo, and 20 µm sections cut for autoradiography. 18F-FDG uptake in brain and IBAT PET and brain autoradiographs were analyzed. Results: Fasting blood glucose levels averaged 120 mg/dL for WT and 100 mg/dL for Tg2576. Compared to WT, Tg2576 mice exhibited a decrease in SUVglc in the various brain regions. Average reductions in the cerebrum regions were as high as −20%, while changes in cerebellum were −3%. Uptake of 18F-FDG in IBAT decreased by −60% in Tg2576 mice and was found to be significant. Intrascapular brown adipose tissue findings in Tg2576 mice are new and not previously reported. Use of blood glucose for PET data analysis and corpus callosum as reference region for autoradiographic analysis were important to detect change in Tg2576 mice. Conclusion: Our results suggest that 18F-FDG uptake in the Tg2576 mice brain show 18F-FDG deficits only when blood glucose is taken into consideration.
An LRP16-containing preassembly complex contributes to NF-κB activation induced by DNA double-strand breaks

The activation of NF-κB has emerged as an important mechanism for the modulation of the response to DNA double-strand breaks (DSBs). The concomitant SUMOylation and phosphorylation of IKKγ by PIASy and ATM, respectively, is a key event in this mechanism. However, the mechanism through which mammalian cells are able to accomplish these IKKγ modifications in a timely and lesion-specific manner remains unclear. In this study, we demonstrate that LRP16 constitutively interacts with PARP1 and IKKγ. This interaction is essential for efficient interactions among PARP1, IKKγ, and PIASy, the modifications of IKKγ, and the activation of NF-κB following DSB induction. The regulation of LRP16 in NF-κB activation is dependent on the DSB-specific sensors Ku70/Ku80. These data strongly suggest that LRP16, through its constitutive interactions with PARP1 and IKKγ, functions to facilitate the lesion-specific recruitment of PARP1 and IKKγ and, ultimately, the concomitant recruitment of PIASy to IKKγ in response to DSB damage. Therefore, the study has provided important new mechanistic insights concerning DSB-induced NF-κB activation.
On Dynamical Description of Fiber Reinforced Composites

In the attempts to describe the dynamical behaviour of fiber reinforced com posites, various models have been proposed. Most of these make the assump tion that on the microlevel either the fibers can be regarded as rigid or the displacements vary in a prescribed way, mostly linear, so that the composite on the macrolevel can be described by fields that represent rigid translations and rotations of the midpoint of the fiber. Here a model of quadratic, linearly elastic fibers in a quadratic array of a linearly elastic matrix is proposed to find out when these assumptions are made legitimate. Comparison is made to the models mentioned above. It is found that the difference in stiffness can be rather small for these assumptions to be valid, but the dispersion in the lowest mode, i.e., the transla tional mode of the fiber, is due not to coupling with a rotational mode but to a deformation of the fiber. Also, as seen in the models assuming rigid fibers, it is found that the constants in the power expansion of the dispersion relation, de pend linearly on the stiffness ratio between fiber and matrix.