gebhart/patrepeval huggingface dataset:
Supplementary Fig.1 from Interleukin-7 Mediates Selective Expansion of Tumor-redirected Cytotoxic T Lymphocytes (CTLs) without Enhancement of Regulatory T-cell Inhibition (2023)

&lt;p&gt;Supplementary Fig.1 PDF file 106K, A. Gating strategy to evaluate the transduction efficiency for the CAR-GD2. The gate was drawn based on the physical parameters and the expression of the CAR-GD2 evaluated on gated cells. B. Gating strategy to evaluate the transduction efficiency for IL-7Ra. The gate was drawn based on the physical parameters and the expression of IL-7Ra evaluated on gated cells. C. Gating strategy to evaluate the phosphorylation of STAT5. The gate was drawn based on the physical parameters and the phosphorylation of STAT5 evaluated on gated cells. D. Gating strategy to assess CSFE dilution. After gating on lymphocyte, the dilution of the CFSE was assessed on CD8+ cells. Two independent experiments are shown. E. Gating strategy to assess the elimination of tumor cells in co-culture experiments. The gate was drawn based on the physical parameters. Lymphocytes were identified based on CD3 expression and tumor cells by GFP expression on gated cells&lt;/p&gt;
Phase diagram of Ba<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mrow/><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:math>K<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mrow/><mml:mi>x</mml:mi></mml:msub></mml:math>Fe<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mrow/><mml:mn>2</mml:mn></mml:msub></mml:math>As<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mrow/><mml:mn>2</mml:mn></mml:msub></mml:math> (2012)

We report the results of a systematic investigation of the phase diagram of the iron-based superconductor Ba${}_{1\ensuremath{-}x}$K${}_{x}$Fe${}_{2}$As${}_{2}$ from $x$ $=$ 0 to $x$ $=$ 1.0 using high-resolution neutron and x-ray diffraction and magnetization measurements. The polycrystalline samples were prepared with an estimated compositional variation of $\ensuremath{\Delta}x$ $\ensuremath{\lesssim}$ 0.01, allowing a more precise estimate of the phase boundaries than reported so far. At room temperature, Ba${}_{1\ensuremath{-}x}$K${}_{x}$Fe${}_{2}$As${}_{2}$ crystallizes in a tetragonal structure with the space group symmetry of $I$4/mmm, but at low doping, the samples undergo a coincident first-order structural and magnetic phase transition to an orthorhombic (O) structure with the space group Fmmm and a striped antiferromagnet (AF) with the space group ${F}_{\mathrm{c}}mm$\ensuremath{'}$m$\ensuremath{'}. The transition temperature falls from a maximum of 139 K in the undoped compound to 0 K at $x$ $=$ 0.252, with a critical exponent as a function of doping of 0.25(2) and 0.12(1) for the structural and magnetic order parameters, respectively. The onset of superconductivity occurs at a critical concentration of $x$ $=$ 0.130(3), and the superconducting transition temperature grows linearly with $x$ until it crosses the AF/O phase boundary. Below this concentration, there is microscopic phase coexistence of the AF/O and superconducting order parameters, although a slight suppression of the AF/O order is evidence that the phases are competing. At higher doping, superconductivity has a maximum ${T}_{\mathrm{c}}$ of 38 K at $x$ $=$ 0.4 that falls to 3 K at $x$ $=$ 1.0. We discuss reasons for the suppression of the spin density wave order and the electron--hole asymmetry in the phase diagram.
Discovery of Regularized Areas with Maximal Confidence from Location Data (2019)

We propose a new approach to discovering regions optimizing the expected responses from data with a strong spatial bias. The methods available thus far do not work well on data of that nature because they assume that coordinates and responses are uniform and isotropic. To relax this assumption, we employ a hypothesis that cells in an irregularly sized mesh are connected transitively. However, it requires considerable computation and possibly overfits data because there are exponentially many transitive closures. Our contributions to overcome these problems are twofold: we prove the maximal property that shows how irrelevant cells are removed without enumerating candidates in the hypothesis space, and we propose a description length of transitive closure based on which the remaining regions are regularized. We show via experiments that our algorithms do not decrease the precision with unknown data, even when such data are neither uniform nor isotropic. In addition, we show that the regularized region improves the precision by more than 20% compared to the unregularized one.
Descriptive epidemiology of amyotrophic lateral sclerosis: new evidence and unsolved issues (2007)

Amyotrophic lateral sclerosis (ALS) is a relatively rare disease with a reported population incidence of between 1.5 and 2.5 per 100,000 per year. Over the past 10 years, the design of ALS epidemiological studies has evolved to focus on a prospective, population based methodology, employing the El Escorial criteria and multiple sources of data to ensure complete case ascertainment. Five such studies, based in Europe and North America, have been published and show remarkably consistent incidence figures among their respective Caucasian populations. Population based studies have been useful in defining clinical characteristics and prognostic indicators in ALS. However, many epidemiological questions remain that cannot be resolved by any of the existing population based datasets. The working hypotheses is that ALS, like other chronic diseases, is a complex genetic condition, and the relative contributions of individual environmental and genetic factors are likely to be relatively small. Larger studies are required to characterise risks and identify subpopulations that might be suitable for further study. This current paper outlines the contribution of the various population based registers, identifies the limitations of the existing datasets and proposes a mechanism to improve the future design and output of descriptive epidemiological studies.
Figure S3 from Comparative Genomics Reveals Distinct Immune-oncologic Pathways in African American Men with Prostate Cancer (2023)

&lt;p&gt;Association of ICS subtypes and race in A. Discovery, B. DVAHS validation and C. TCGA dataset.&lt;/p&gt;
Review of Present Risk Assessment Models for Petroleum Contaminated Soils (2021)

A risk assessment methodology should include variables which clearly represent the hazard level, exposure level, and the level of risk at a particular site. The toxicities of contaminants at a site are determined during the hazard analysis. Animal studies and human studies, when available, are used to derive toxicity values based on dose-response relationships and statistical models. The manner in which toxicity values are derived should be compared among the different methodologies. Chemicals at a site can have diverse short-term and long-term effects. Pharmacokinetic factors, when available, can account for differences in absorption and metabolism due to different exposure routes. A standard procedure in a risk assessment methodology would aid in identification of the most toxic chemicals, which can then represent the overall toxicity of a mixture. Environmental fate analyses may include variables such as air transport, surface water or groundwater transport, and bioconcentration of chemicals in plants, fish, and livestock.
Response to “Comparison of non-absorbable silk and absorbable polyglactin sutures for external ptosis repair” (2019)

"Response to “Comparison of non-absorbable silk and absorbable polyglactin sutures for external ptosis repair”." Orbit, 39(3), p. 231
STEM Analysis of Vacancies in Magnetite Nanoparticles (2022)

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Heat-Induced Structural Changes of Multibilayer Films of Benzylideneaniline- and Salicylideneaniline-Containing Ammonium Amphiphiles (1993)

Abstract Cast films prepared from benzylideneaniline- and salicylideneaniline-containing ammonium amphiphiles at room temperature possess interdigitated bilayer structures. These molecular assemblies show various types of crystalline modifications above their transition temperatures.
Proteomic and Metabolic Profiling of Rice Suspension Culture Cells as a Model to Study Abscisic Acid Signaling Response Pathways in Plants (2010)

Rice (Oryza sativa cv Taipei 309) suspension culture cells (SCCs) were used as a simple, single cell model system to gain insights into the complex abscisic acid (ABA) signaling response pathways in plants. Following system establishment involving morphological observations and transcript profiling of genes known to be ABA responsive in planta, a comprehensive proteomic and metabolomic study was performed. A total of 759 buffer-soluble proteins that included 3284 peptides categorized into 656 protein families are reported. Using iTRAQ, only 36 of these proteins showed statistically significant changes in abundance in response to ABA. In addition, a GC-MS based metabolite profiling study allowed the identification of 148 metabolites that included 25 amino acids (AAs), 45 organic acids (OAs), 35 sugars, 19 fatty acids, 2 polyamines, 4 sterols, 5 sugar acids, 4 sugar alcohols, and 9 miscellaneous compounds. Of these, only 11 (8.8%) changed in a statistically significant manner in response to ABA treatment. These studies provide important insights into plant responses to ABA at the protein and metabolite level.
From PI to 8, Control in a Unified Framework (2000)

Based on a recently presented evaluation method, tuning rules are introduced and compared for a series of PID related controllers. For all of them, the integral gain and the high frequency gain (the parameters in a PI controller), are used as the main tuning parameters. As these directly correspond to well known properties of a control system, they are easy to handle for an operator. It is also shown that a well tuned PID controller augmented by a low pass filter, to increase the roll off rate, is quite competitive to a PID weighted 31, controller, and superior to the common PI weighted 31, controller.
Model reduction &amp; manifold learning — Based parametric computational electromagnetism: Fundamentals &amp; applications (2016)

Techniques based on the use of separated representations, are at the heart of the so-called Proper Generalized Decomposition methods. Such separated representations were employed for solving multidimensional models suffering the so-called curse of dimensionality, transient models within a non-incremental integration schema and in the context of uncertainty propagation. Then, its use was extended for separating space coordinates making possible the solution of models defined in degenerated domains, e.g. plate, shells or laminates, and finally for addressing parametric models where model parameters were considered as problem extra-coordinates.
Dynamic compressive response of composite corrugated cores (2010)

The dynamic out-of-plane compressive response of E-glass composite corrugated sandwich cores have been measured for impact velocities ranging from quasistatic to 175 ms -1 . Laboratory scale sandwich cores of relative density 33% were manufactured from 3D woven E-glass and stitched to S2-glass face-sheets via a double line of Kevlar yarn. Two variants of the sandwich cores were investigated: sandwich cores with the empty spaces between the corrugations filled with a PVC foam, and unfilled corrugations. The stresses on the rear faces of the dynamically compressed sandwich cores were measured using a direct impact Kolsky bar. The compression tests on both the corrugated cores and the parent strut wall material confirmed that these relatively high relative density corrugated cores failed by microbuckling of the strut wall material under quasistatic loading. Moreover, the foam filling did not have any significant effect on the measured responses. The peak stresses of both the strut wall material and corrugated cores increased approximately linearly with strain rate for applied strain rates less than about 4000 s -1 . This increase was attributed to the strain rate sensitivity of the composite matrix material that stabilised the microbuckling failure mode of the E-glass composite. At higher applied strain rates the response was reasonably rate insensitive with compressive crushing of the glass fibres being the dominant failure mode. A simple model utilising the measured dynamic properties of the strut wall material accurately predicts the measured peak strengths of the filled and unfilled corrugated cores.
DYNAMIC FORECASTING OF TRAVEL DEMAND, RESIDENTIAL LOCATION AND LAND DEVELOPMENT (1985)

The Chicago Area Transportation/Land‐Use Analysis System (CATLAS) is a large scale urban simulation model which synthesizes “location rent analysis” from urban economics with “travel demand analysis” from transportation planning. This paper describes the theoretical formulation, empirical estimation and policy application of CATLAS to the evaluation of CBD‐oriented rapid transit projects in Chicago.
Rheumatoid arthritis (1996)

*Center for Experimental Rheumatology, University Rheumatology Hospital, Gloriastrases 25, CH-8091, Zurich, Switzerland. 433 Tinsley Harrison Tower, 1900 University Boulevard, Bimingham, AL 35294–0006, USA. †;The University of Alabama at Birmingham, Division of Immunology and Rheumatology, 433 Tinsley Harrison Tower, 1900 University Boulevard, Bimingham, AL 35294–0006, USA.
Studies on intramolecular cycloadditions involving 3-oxidopyridinium (1990)

3-Oxidopyridinium derivatives bearing a pendant pent-4-enyl group at either N-1 or C-2 undergo intramolecular cycloadditions to form tricyclic systems. The chemistry of these cycloadducts has been explored, and that from the 2-substituted series compared to the cycloadduct from the corresponding pyrylium analogue; the nitrogen containing systems exhibit different chemical reactions in which the nucleophilicity of the nitrogen atom dominates. Quaternisation of the nitrogen atom and base treatment leads to opening of the aza-bridge. In contrast to the oxygen containing systems, no skeletal rearrangements (e.g. of the perhydroazulene to decalin type) were observed.
Enzymatic Degradation of and Bovine Serum Albumin Release from Starch−Acetate Films (2002)

The effect of acetylation of potato starch on swelling, enzymatic degradation, and bovine serum albumin (BSA, molecular mass 68 kDa) release rate from polymer films was studied. Potato starch and potato starch acetates (SA), having a degree of substitution of 1.9 or 2.6, were investigated. Polymer films were incubated in phosphate buffer solution pH 7.4 in the absence and presence of enzymes (alpha-amylase, amyloglucosidase, esterase) or in human serum. The acetylation of potato starch decreased its swelling considerably. Increased acetylation of starch also considerably retarded its enzymatic degradation. Due to the decreased swelling and degradation of SA films, BSA was released much slower from SA films than from potato starch films, both in the presence and absence of enzymes.
Experimental evidence for bipolaron condensation as a mechanism for the metal-insulator transition in rare-earth nickelates (2018)

Many-body effects produce deviations from the predictions of conventional band theory in quantum materials, leading to strongly correlated phases with insulating or bad metallic behavior. One example is the rare-earth nickelates RNiO<sub>3</sub>, which undergo metal-to-insulator transitions (MITs) whose origin is debated. Here, we combine total neutron scattering and broadband dielectric spectroscopy experiments to study and compare carrier dynamics and local crystal structure in LaNiO<sub>3</sub> and NdNiO<sub>3</sub>. We find that the local crystal structure of both materials is distorted in the metallic phase, with slow, thermally activated carrier dynamics at high temperature. We further observe a sharp change in conductivity across the MIT in NdNiO<sub>3</sub>, accompanied by slight differences in the carrier hopping time. These results suggest that changes in carrier concentration drive the MIT through a polaronic mechanism, where the (bi)polaron liquid freezes into the insulating phase across the MIT temperature.
Genome‐wide interaction with the insulin secretion locus <i>MTNR1B</i> reveals <i>CMIP</i> as a novel type 2 diabetes susceptibility gene in African Americans (2018)

Although type 2 diabetes (T2D) results from metabolic defects in insulin secretion and insulin sensitivity, most of the genetic risk loci identified to date relates to insulin secretion. We reported that T2D loci influencing insulin sensitivity may be identified through interactions with insulin secretion loci, thereby leading to T2D. Here, we hypothesize that joint testing of variant main effects and interaction effects with an insulin secretion locus increases power to identify genetic interactions leading to T2D. We tested this hypothesis with an intronic MTNR1B SNP, rs10830963, which is associated with acute insulin response to glucose, a dynamic measure of insulin secretion. rs10830963 was tested for interaction and joint (main + interaction) effects with genome-wide data in African Americans (2,452 cases and 3,772 controls) from five cohorts. Genome-wide genotype data (Affymetrix Human Genome 6.0 array) was imputed to a 1000 Genomes Project reference panel. T2D risk was modeled using logistic regression with rs10830963 dosage, age, sex, and principal component as predictors. Joint effects were captured using the Kraft two degrees of freedom test. Genome-wide significant (P < 5 × 10<sup>-8</sup> ) interaction with MTNR1B and joint effects were detected for CMIP intronic SNP rs17197883 (P<sub>interaction </sub> = 1.43 × 10<sup>-8</sup> ; P<sub>joint </sub> = 4.70 × 10<sup>-8</sup> ). CMIP variants have been nominally associated with T2D, fasting glucose, and adiponectin in individuals of East Asian ancestry, with high-density lipoprotein, and with waist-to-hip ratio adjusted for body mass index in Europeans. These data support the hypothesis that additional genetic factors contributing to T2D risk, including insulin sensitivity loci, can be identified through interactions with insulin secretion loci.
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up (2021)

Accurate prediction of progression in subjects at risk of Alzheimer's disease is crucial for enrolling the right subjects in clinical trials. However, a prospective comparison of state-of-the-art algorithms for predicting disease onset and progression is currently lacking. We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international teams at predicting the future trajectory of 219 individuals at risk of Alzheimer's disease. Challenge participants were required to make a prediction, for each month of a 5-year future time period, of three key outcomes: clinical diagnosis, Alzheimer's Disease Assessment Scale Cognitive Subdomain (ADAS-Cog13), and total volume of the ventricles. The methods used by challenge participants included multivariate linear regression, machine learning methods such as support vector machines and deep neural networks, as well as disease progression models. No single submission was best at predicting all three outcomes. For clinical diagnosis and ventricle volume prediction, the best algorithms strongly outperform simple baselines in predictive ability. However, for ADAS-Cog13 no single submitted prediction method was significantly better than random guesswork. Two ensemble methods based on taking the mean and median over all predictions, obtained top scores on almost all tasks. Better than average performance at diagnosis prediction was generally associated with the additional inclusion of features from cerebrospinal fluid (CSF) samples and diffusion tensor imaging (DTI). On the other hand, better performance at ventricle volume prediction was associated with inclusion of summary statistics, such as the slope or maxima/minima of patient-specific biomarkers. On a limited, cross-sectional subset of the data emulating clinical trials, performance of the best algorithms at predicting clinical diagnosis decreased only slightly (2 percentage points) compared to the full longitudinal dataset. The submission system remains open via the website https://tadpole.grand-challenge.org, while TADPOLE SHARE (https://tadpole-share.github.io/) collates code for submissions. TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease. However, results call into question the usage of cognitive test scores for patient selection and as a primary endpoint in clinical trials.
Striking Effect of Left Ventricular High Filling Pressure with Mitral Regurgitation on Mitral Annular Velocity During Early Diastole. A Study Using Colour M-mode Tissue Doppler Imaging (2002)

A paradoxically faster mitral annular velocity during early diastole is found in patients having left ventricular dysfunction with moderate to severe mitral regurgitation and considerably high left ventricular filling pressure. Attention should be paid to an interpretation of mitral annular velocity during early diastole regarding left ventricular early diastolic performance in patients having mitral regurgitation with an E/A >1.0 in their transmitral flow.
Fabrication of Complex Architectures Using Electrodeposition into Patterned Self-Assembled Monolayers (2006)

Patterned self-assembled monolayers (SAMs) on solid surfaces can be used to direct electrodeposition to occur at specific locations. In previous work, single deposition steps have been used to create islands or lines in patterned SAMs. In this paper we present strategies for creating more complex structures, including via-like structures and multicomponent lines. We also show how finite size effects can be exploited to produce arrays of single-crystal islands.
Targeting Prediction: Engineering a Distributed Event Processor for an Autonomic Biometric System (2006)

This paper reports on the latest developments in a deployed survivable secure system in relation to enabling the longer term aim of moving from a reactive to a predictive system. At this stage it has been decided to redevelop the event/rule processor into a distributed system to facilitate the future requirements of a predictive system
Implementación de iso 9001 en la empresa de acero y construcción s.a.c., durante los meses de enero a octubre 2014, cajamarca (2016)

The present work it had as a general objective, implementing a quality management system based ISO 9001: 2008 in the company Acero y Construccion SAC, as enhancement tool that allows customer satisfaction. The methodology used was the International Standard ISO 9001: 2008. As part of the development of the proposal, flowcharts, organizational charts, MOF, programs, records and written procedures required by the Standard they were created, system based on the Deming Circle PHVA) to set deadlines for implementation progress. Concluding that the implementation of a Quality Management System improved the corporate image of the company and strengthened the bonds of trust and customer loyalty to the organization, and it is according to the media; well there is control of services that generate non-compliant , and can track non-conformities and implementing corrective/preventive and opportunities for improvement actions, which is reflected in the decrease in the percentage of dissatisfied customers , which leads us to the next step to be evaluated by an accredited entity for certification ISO 9001:2008.