gebhart/patrepeval huggingface dataset:
Obesity, Galectin‐3, and Incident Heart Failure: The ARIC Study (2022)

Background Laboratory data suggest obesity is linked to myocardial inflammation and fibrosis, but clinical data are limited. We aimed to examine the association of obesity with galectin-3, a biomarker of cardiac inflammation and fibrosis, and the related implications for heart failure (HF) risk. Methods and Results We evaluated 8687 participants (mean age 63 years; 21% Black) at ARIC (Atherosclerosis Risk in Communities) Visit 4 (1996-1998) who were free of heart disease. We used adjusted logistic regression to estimate the association of body mass index (BMI) categories with elevated galectin-3 (≥75th sex-specific percentile) overall and across demographic subgroups, with tests for interaction. We used Cox proportional hazards models to assess the combined associations of galectin-3 and BMI with incident HF (through December 31, 2019). Higher BMI was associated with higher odds of elevated galectin-3 (odds ratio [OR], 2.32; 95% CI, 1.88-2.86) for severe obesity ([BMI ≥35 kg/m<sup>2</sup>] versus normal weight [BMI 18.5-<25 kg/m<sup>2</sup>]). There were stronger associations of BMI with elevated galectin-3 among women versus men and White versus Black participants (both <i>P</i>-for-interaction <0.05). Elevated galectin-3 was similarly associated with incident HF among people with and without obesity (HR, 1.49; 95% CI, 1.18-1.88; and HR, 1.71; 95% CI, 1.38-2.11, respectively). People with severe obesity and elevated galectin-3 had >4-fold higher risk of HF (HR, 4.19; 95% CI, 2.98-5.88) than those with normal weight and galectin-3 <25th percentile. Conclusions Obesity is strongly associated with elevated galectin-3. Additionally, the combination of obesity and elevated galectin-3 is associated with marked HF risk, underscoring the importance of elucidating pathways linking obesity with cardiac inflammation and fibrosis.
The chemistry of boron and titanium diboride formation: Decomposition of TiCl{sub 4} and BCl{sub 3} in hydrogen and helium (1995)

Measurements of the decomposition of mixtures of boron trichloride (BCl{sub 3}), titanium tetrachloride (TiCl{sub 4}), and hydrogen at elevated temperatures are presented. The decomposition of BCl{sub 3} with hydrogen appears to drive the chemistry in this system. The species depositing boron on the surface contains at least 2 chlorine atoms. Once deposited, the surface chlorine is removed by reaction with hydrogen to form HCl and, presumably, surface B-H bonds.
Investigation of Biases and Compensatory Strategies Using a Probabilistic Variant of the Wisconsin Card Sorting Test (2016)

The Wisconsin Card Sorting Test (WCST) evaluates a subject's ability to shift to a new pattern of behavior in response to the presentation of unexpected negative feedback. The present study introduces a novel version of the traditional WCST by integrating a probabilistic component into its traditional rule shifting to add uncertainty to the task, as well as the option to forage for information during any particular trial. These changes transformed a task that is trivial for neurotypical individuals into a challenging environment useful for evaluating biases and compensatory strategizing. Sixty subjects performed the probabilistic WCST at four uncertainty levels to determine the effect of uncertainty on subject performance and strategy. Results revealed that increasing the level of uncertainty during a run of trials correlated with a reduction in rational strategizing in favor of both random choice and information foraging, evoking biases and suboptimal strategies such as satisfaction of search, negativity bias, and probability matching.
Allogeneic T-cell clones able to selectively destroy Philadelphia chromosome-bearing (Ph1+) human leukemia lines can also recognize Ph1- cells from the same patient (1994)

Immunocompetent cells in bone marrow allografts have been associated with a graft-versus-leukemia (GVL) effect. To further characterize effector mechanisms that may be involved in this GVL phenomenon, we have previously established an in vitro model to identify allogeneic T-cell clones that selectively mediate cytotoxicity against a patient's leukemic cells, but not against nonleukemic lymphocytes from the same patient. We have modified this in vitro model to test whether the Ph1 chromosome and the P210 fusion protein it controls have a detectable role in leukemia-specific recognition by allogeneic T-cell clones. In this report, T-cell lines reactive with allogeneic Ph1 chromosome-bearing (Ph1+) chronic myeloid leukemia (CML) cell lines were derived and selected to be minimally reactive with Ph1 negative (Ph1-) lymphoid lines from the same patient. However, after prolonged culture, these same T-cell lines also mediated significant destruction of the Ph1- target cells from the same patients. These T-cell lines specifically recognized cells from the allogeneic CML patient to which they were sensitized, and were not contaminated by an outgrowth of natural killer cells. Furthermore, subclones could be derived from these T-cell lines, and some of these subclones again showed selective killing of the allogeneic Ph1+ leukemia cell lines, and not of the Ph1- cell line from the same patient. Analyses of T-cell receptor (TCR) genes showed the alloreactive T-cell lines and the Ph1+ selective subclones derived from them to be of the same clonal origin. This suggests that the same T cells reacting with antigens expressed on the nonleukemic Ph1- targets can at times selectively and preferentially kill the allogeneic Ph1+ cells. As the same TCR that recognizes Ph1+ cells also can recognize the Ph1- targets, it appears that the Ph1+ chromosome does not play a detectable role in recognition by these allogeneic T-cell clones. This in vitro observation may provide a model for evaluating the relationship between GVL and graft-versus-host disease effects.
Validation of a novel three-dimensional electrode array within auditory cortex (2009)

Three-dimensional electrode arrays have a variety of potential applications in the fields of both intracortical mapping as well as basic research studies designed to characterize and understand the physiology of the brain. While higher channels counts are desired in brain-machine interface applications, the ability to analyze synchronous data from multiple cortical locations, including various depths is pivotal to fully mapping the underlying neurophysiology of sensory cortices. Within this study, we present a proof of concept validation of a 3D probe technology consisting of 16 silicon shanks in a 4x4 grid arrangement with four electrode sites per shank. This 3D array has been implanted in a rat primary auditory cortex and electrophysiological data are presented showing the utility of electrode sites spanning multilateral cortical space as well as cortical depth.
A New Editor-in-Chief for <i>Chemistry of Materials</i> (2013)

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTA New Editor-in-Chief for Chemistry of MaterialsLeonard V. InterranteCite this: Chem. Mater. 2013, 25, 24, 4837–4838Publication Date (Web):December 23, 2013Publication History Published online23 December 2013Published inissue 23 December 2013https://pubs.acs.org/doi/10.1021/cm403441ghttps://doi.org/10.1021/cm403441geditorialACS PublicationsCopyright © 2013 American Chemical Society. This publication is available under these Terms of Use. Request reuse permissions This publication is free to access through this site. Learn MoreArticle Views613Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail PDF (127 KB) Get e-AlertscloseSUBJECTS:Biomaterials,Materials,Nanomaterials Get e-Alerts
Image segmentation using GMRF models: parameters estimation and applications (2004)

Stochastic models of images are commonly represented in terms of three random processes (random fields) defined on the region of support of the image. The observed image process G is considered as a composite of two random process: a high level process G/sup h/, which represents the regions (or classes) that form the observed image; and a low level process G/sup l/, which describes the statistical characteristics of each region (or class). The representation G = (G/sup h/, G/sup l/) has been widely used in the image processing literature in the past two decades. In this paper, we consider the low level process G/sup l/ as mixture of normal distributions, and we use the expectation-maximization (EM) algorithm to estimate the mean, the variance, and proportion for each distribution. A popular model for the high level process G/sup h/ has been the Gibbs-Markov random field (GMRF) model. We introduce a novel unsupervised approach to estimate the parameters of a GMRF model. In this approach, we estimate the model parameters that maximize the posteriori probability of each pixel in a given image. The MAP estimate is obtained using a combination of genetic search and deterministic optimization using the iterated conditional mode (ICM) approach of Besag. The desired estimate of the GMRF parameters is the one corresponding to the MAP estimate. The approach has been applied on real images (Spiral CT slices) and provides satisfactory results.
Sol–Gel Borate Glasses (2022)

This chapter examines the history, chemistry, and applications of sol–gel-derived borate glasses. Despite a significant lack of literature compared to silicate sol–gel glasses, sol–gel borate glasses offer interesting properties for a wide range of applications. In particular, these glasses show great promise for specialty optical coatings and tissue-engineering applications.
Impact of Cytogenetic Risk on Outcomes of Non-T-Cell–Depleted Haploidentical Hematopoietic Cell Transplantation in Patients with Relapsed or Refractory Acute Myeloid Leukemia (2022)

Baseline cytogenetics and disease status are key factors predicting the outcomes of allogeneic hematopoietic cell transplantation (HCT) in patients with acute myeloid leukemia (AML). The importance of cytogenetic risk in patients with primary refractory or relapsed (R/R) AML undergoing haploidentical (Haplo) HCT is unknown. We studied the impact of cytogenetic risk in patients with R/R de novo AML with active disease who underwent non-T-cell-depleted Haplo-HCT with post-transplantation cyclophosphamide from 2010 to 2020. Four hundred forty patients with active disease at transplantation from the European Society for Blood and Marrow Transplantation database were analyzed (291 [66.1%] with intermediate-risk [AMLint] and 149 [44.1%] with adverse-risk cytogenetics [AMLadv]). Impact of baseline cytogenetic risk on various transplantation outcomes was evaluated. Pre-transplantation disease status was relapse in 48.1% and 26.8% and primary refractory in 51.9% and 73.2% of the patients with AMLint and AMLadv, respectively (P < .0001). Two-year leukemia-free survival (LFS, 35.5% versus 15.5%, P = .001) and overall survival (OS, 39.2% versus 20.1%, P = .001) were better in AMLint versus AMLadv. In multivariate analysis, the relapse rate was significantly higher (hazard ratio [HR] = 2.17 [95% confidence interval {CI} 1.57-3.0]) and LFS (HR = 1.71 [95% CI, 1.31-2.22]) and OS (HR = 1.69 [95% CI, 1.29-2.22]), significantly lower for patients with AMLadv compared to AMLint, conditioning intensity did not affect leukemia relapse rate. Non-relapse mortality (HR = 1.1 [95% CI, 0.7-1.74]) and graft-versus-host disease-free, relapse-free survival (HR = 1.37 [95% CI, 1.06-1.77]) did not differ significantly between the risk groups. Disease status before transplant (primary refractory versus relapsed) or conditioning intensity did not impact main transplant outcomes. Baseline cytogenetic risk remains a key prognostic factor for patients with R/R AML with persistent disease before non-T-cell-depleted Haplo-HCT.
Self-focusing arrays for imaging and therapy through inhomogeneous media (2002)

We present a method for self-focusing through inhomogeneous media, which uses the inverse scattering problem to estimate the array Green's function. In particular, the distorted Born iterative method is used to solve the nonlinear inverse scattering problem for a region of interest. Optimal single and multiple focus field patterns can be synthesized by using the estimated Green's function in the pseudoinverse pattern synthesis method. This approach is non-invasive. It simply requires measurements of the scattered field outside the region of interest. It can be used for high resolution imaging and enhanced therapeutic effects through inhomogeneous media without making any assumptions on the shape, size, or location of the inhomogeneity. We outline this technique, and show numerical simulations using a circular array.
Observer-based output feedback control of discrete-time Luré systems with sector-bounded slope-restricted nonlinearities (2013)

Many well studied classes of dynamical systems such as actuator-constrained linear systems and dynamic artificial neural networks can be written as discrete-time Luré systems with sector-bounded and/or slope-restricted nonlinearities. Two types of observer-based output feedback control design methods are presented, compared, and analyzed with regard to robustness to model uncertainties and insensitivity to output disturbances. The controller designs are formulated in terms of LMIs that are solvable with standard software. The design equations are illustrated in numerical examples. Copyright © 2013 John Wiley & Sons, Ltd.
26.3: Edge Adaptive Method of Image Resampling and Enhancement (2014)

Abstract An edge adaptive method for image resampling and enhancement is presented. The developed method increases resolution of an image by generating additional pixels without introducing jagging artifacts. This is accomplished by making interpolation along a detected local edge.
ChemInform Abstract: An Etching Mechanism of Ta by Chlorine‐Based Plasmas (1991)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Towards efficient discovery of green synthetic pathways with Monte Carlo tree search and reinforcement learning (2020)

Computer aided synthesis planning of synthetic pathways with green process conditions has become of increasing importance in organic chemistry, but the large search space inherent in synthesis planning and the difficulty in predicting reaction conditions make it a significant challenge. We introduce a new Monte Carlo Tree Search (MCTS) variant that promotes balance between exploration and exploitation across the synthesis space. Together with a value network trained from reinforcement learning and a solvent-prediction neural network, our algorithm is comparable to the best MCTS variant (PUCT, similar to Google's Alpha Go) in finding valid synthesis pathways within a fixed searching time, and superior in identifying shorter routes with greener solvents under the same search conditions. In addition, with the same root compound visit count, our algorithm outperforms the PUCT MCTS by 16% in terms of determining successful routes. Overall the success rate is improved by 19.7% compared to the upper confidence bound applied to trees (UCT) MCTS method. Moreover, we improve 71.4% of the routes proposed by the PUCT MCTS variant in pathway length and choices of green solvents. The approach generally enables including Green Chemistry considerations in computer aided synthesis planning with potential applications in process development for fine chemicals or pharmaceuticals.
sp Carbon Chains Surrounded by sp3 Carbon Double Helices: A Class of Molecules that are Accessible by Self-Assembly and Models for “Insulated” Molecular-Scale Devices We thank the Deutsche Forschungsgemeinschaft (SFB 583), Johnson Matthey PMC (platinum loan), the Spanish Ministerio de Educación y Ciencia, and the Fulbright Commission (Fellowships, J.M.M.-A.) for support, and Dr. A. M. Arif for assistance with the analysis of one crystal structure. (2002)

Neither bonding interactions between the strands nor covalent bonds to metal templates dispersed throughout the strands are needed for the molecules presented here to adopt double-helical structures (see picture). The molecules consist of rigid (CC)m chains that bridge two platinum atoms, which are in turn bridged by two diphosphane ligands of the formula Ar2P(CH2)nPAr2.
Role of Stem Cells in Human Uterine Leiomyoma Growth (2012)

Our data suggest that LMSP, which have stem/reservoir cell characteristics, are necessary for in vivo growth of leiomyoma xenograft tumors. Lower estrogen and progesterone receptor levels in LMSP suggests an indirect paracrine effect of steroid hormones on stem cells via the mature neighboring cells.
Wnt/β-catenin pathway as a potential prognostic and predictive marker in patients with advanced ovarian cancer (2014)

These findings support that WNT/β-catenin pathway and E-cadherin are important factors in advanced epithelial ovarian cancer.
Case Study: Modeling a Grain Bin for Safe Entry Retrofit (2023)

All new grain bins produced after 2018 are recommended to have anchor points capable of handling a 2000 lb loading for attachment of bin entry lifeline systems. This study aims to assess the feasibility of a safe entry anchor point retrofit by using finite element analysis (FEA). We used a grain bin owned by Penn State for 3D FEA modeling in SolidWorks. To validate the model results from the FEA model, first strain and then deflection measurements were conducted on the grain. Strain gauges were applied to the grain bin in five locations and strain values were obtained after applying static loads. The strain gauge measurements from the experimental study were compared to the strain output from the FEA simulation. The error seen was far greater than was expected. The most pertinent error source was strain gauge installation error and equipment failure. Then, the vertical roof deflection of the bin was measured using a precision phase-comparison laser while applying incremental static loads to the retrofitted rescue anchor points. The FEA model results were compared to the experimentally measured deflection results. A 3D FEA model of a grain bin was created. A high amount of error was observed in deflections between the measured and FEA modeling. The errors have resulted from the assumptions made during the model creation. However, the SolidWorks Simulation model still may be used to estimate loading scenarios in a safe and non-destructive way. Based on the research findings, the project team recommends that the suitability of any bin to safely accommodate a lifeline and anchor point system must be verified on a case-by-case basis. Evaluation by a professional structural engineer and consulting with the manufacturer are recommended. This recommendation extends to all-grain bins, including those post-2018.
Effects of low hydrogen partial pressures on propylene polymerization by Cp*TiMe2(μ‐Me)B(C6F5)3 (1999)

Polymerization of propylene by Cp*TiMe2(μ-Me)B(C6F5)3 in the presence of increasing partial pressures of H2 results in ever decreasing polymer molecular weights, which is consistent with the hydrogenolytic chain transfer processes involving metal–polymer bonds in many heterogeneous and homogeneous systems. However, catalytic activities are not significantly increased as the extent of hydrogenolysis increases, unlike metallocene catalyst systems in which the H2 reacts primarily with dormant catalytic sites containing propylene 2,1-insertion products. It was shown previously that monocyclopentadienyl systems do not become seriously deactivated following 2,1 insertions, and thus hydrogenolysis does not result in enhanced activities. © 1999 John Wiley & Sons, Inc. J Polym Sci A: Polym Chem 37: 4386–4389, 1999
Stemness activity underlying whole brain regeneration in a basal chordate (2021)

Summary Central nervous system (CNS) regeneration extent is highly diverse across the metazoans, with adult mammals demonstrating limited ability 1,2 . Understanding how neurons regenerate following injury remains a central challenge in regenerative medicine. Although conserved pathways associated with neural regeneration have been identified 3,4 , a study describing the stepwise morphogenetic changes that take place throughout a complete CNS regeneration is lacking. Utilizing the highly regenerative tunicate model Polycarpa mytiligera 5 , we characterized the morphological, cell proliferation, and transcriptomic dynamics that lead to entire CNS regeneration. The regenerated CNS of adult P. mytiligera expressed key neurodevelopmental markers that are not otherwise present in the adult CNS. Removal of the entire CNS resulted in high cell proliferation in the regenerated area. Transcriptome analysis revealed enhanced stem-cell related gene activity, with high expression of P53 and piRNA pathways preceding the activation of Notch, Wnt, and Nanos pathways. The CNS regeneration atlas created here depicts the transcriptomic landscape of the entire CNS regeneration process, revealing the core pathways that regulate neuronal response to injury, and the regeneration stage at which they are most pronounced. The molecular and cellular mechanisms controlling regenerative capacity that this atlas reveals could be used to develop approaches to enhancing neurogenesis in closely-related chordate species, including humans.
Production and use of encapsidated RNA mimics as positive control reagents for SARS-CoV-2 RT-qPCR diagnostics (2021)

The current gold standard technique for SARS-CoV-2 diagnostics is hydrolysis probe-based RT-qPCR. Reliable testing requires reliable control reagents to monitor the efficiency of RNA extraction, reverse transcription and PCR amplification. Here we describe a custom RNA packaging system from the plant virus cowpea mosaic virus to produce virus-like particles that encapsidate specifically designed portions of the genome of SARS-CoV-2, the causative agent of COVID-19. These encapsidated mimics are highly stable particles which can be used either to spike patient swab samples for use as an in-tube extraction and reaction positive control in multiplex RT-qPCR, or alone as a side-by-side mock-positive control reagent. The selection of sequences in the packaged pseudogenomes ensures that these mimics are compatible with the most commonly used primer/probe combinations for SARS-CoV-2 diagnostics (including German Berlin Charité Hospital, American CDC, and Chinese CDC protocols). The plant transient expression system used to produce these encapsidated mimics is inherently low-cost, and sufficiently high-yielding that a single laboratory-scale preparation can provide enough positive control reagent for millions of tests.