gebhart/patrepeval huggingface dataset:
Supplementary Information from IL33 Promotes Colon Cancer Cell Stemness via JNK Activation and Macrophage Recruitment (2023)

&lt;p&gt;It contains 5 figures and 3 tables&lt;/p&gt;
Penn State web page (2012)

Internet web page posted after 4/16/07 listing events honoring VT victims
Rat NAP1: cDNA cloning and upregulation by Mpl ligand (1999)

The Mpl ligand is a hematopoietic cytokine which exerts its effects through association with the c-Mpl receptor. It regulates the proliferation, polyploidization and maturation of platelet precursors, the megakaryocytes. Using a differential display polymerase chain reaction (PCR) approach, we have identified an mRNA, belonging to a family of nucleosome assembly proteins, whose expression is upregulated in response to Mpl ligand. Multiple size classes of this mRNA (1.7, 2.5 and 4.3kb) are readily detected in rat primary bone marrow cells and hematopoietic tissues. The size classes are also expressed to different extents in cell lines of all hematopoietic lineages. We isolated the full-length cDNA encoding the rat megakaryocyte 1.7kb mRNA, referred to as rNAP1. Bacterially expressed recombinant protein encoded by the 1.7kb cDNA facilitates the formation of nucleosomes on relaxed circular DNA in vitro. Our data indicate that rNAPs, which may facilitate chromatin reorganization, are upregulated by Mpl ligand. It is possible that NAPs contribute to Mpl ligand's induced effects on hematopoietic cells.
Convolutional Normalizing Flows for Deep Gaussian Processes (2021)

Deep Gaussian processes (DGPs), a hierarchical composition of GP models, have successfully boosted the expressive power of their single-layer counterpart. However, it is impossible to perform exact inference in DGPs, which has motivated the recent development of variational inference-based methods. Unfortunately, either these methods yield a biased posterior belief or it is difficult to evaluate their convergence. This paper introduces a new approach for specifying flexible, arbitrarily complex, and scalable approximate posterior distributions. The posterior distribution is constructed through a normalizing flow (NF) which transforms a simple initial probability into a more complex one through a sequence of invertible transformations. Moreover, a novel convolutional normalizing flow (CNF) is developed to improve the time efficiency and capture dependency between layers. Empirical evaluation shows that CNF DGP outperforms the state-of-the-art approximation methods for DGPs.
Overexpression of cytosolic sialidase Neu2 induces myoblast differentiation in C2C12 cells (2003)

Cytosolic sialidase Neu2 has been implicated in myoblast differentiation. Here we observed a significant upregulation of Neu2 expression during differentiation of murine C2C12 myoblasts. This was evidenced both as an increase in Neu2 mRNA steady-state levels and in the cytosolic sialidase enzymatic activity. To understand the biological significance of Neu2 upregulation in myoblast differentiation, C2C12 cells were stably transfected with the rat cytosolic sialidase Neu2 cDNA. Neu2 overexpressing clones were characterized by a marked decrement of cell proliferation and by the capacity to undergo spontaneous myoblast differentiation also when maintained under standard growth conditions. This was evidenced by the formation of myogenin-positive myotubes and by a significant decrease in the nuclear levels of cyclin D1 protein. No differentiation was on the contrary observed in parental and mock-transfected cells under the same experimental conditions. The results indicate that Neu2 upregulation per se is sufficient to trigger myoblast differentiation in C2C12 cells.
RF Performance of Ingot Niobium Cavities of Medium-Low Purity (2015)

Superconducting radio-frequency cavities made of ingot niobium with residual resistivity ratio (RRR) greater than 250 have proven to have similar or better performance than fine-grain Nb cavities of the same purity, after standard processing. The high purity requirement contributes to the high cost of the material. As superconducting accelerators operating in continuous-wave typically require cavities to operate at moderate accelerating gradients, using lower purity material could be advantageous not only to reduce cost but also to achieve higher Q0-values, because of the well-known dependence of the BCS-surface resistance on mean free path. In this contribution we present the results from cryogenic RF tests of 1.3-1.5 GHz single-cell cavities made of ingot Nb of medium (RRR=100-150) and low (RRR=60) purity from different suppliers. Cavities made of medium-purity ingots routinely achieved peak surface magnetic field values greater than 70 mT with Q0-values above 1.5·10¹⁰ at 2 K. The performance of cavities made of low-purity ingots were affected by significant pitting of the surface after chemical etching.
TOIS reviewers June 2007 through May 2008 (2008)

No abstract available.
Sequential Pluralization through Chromatic Operatives in Connected IoT Sensor's Topology (2020)

With the advent of the ubiquitous network, proliferation of sensors, wearables and other Internet of Things (IoT) devices are growing rapidly. All these devices generate a continual stream of data in different formats which is transmitted further over the network for processing. This ever-growing amount of data generated by different sensors need to be processed at a faster pace to maximize the benefits and take any corrective action if required. Although it is important to process data locally at the edge for rapid action, However, it is equally important to process data centrally to identify patterns across locations. Also, the gigantic time-series data captured by these IoT devices can't be stored and fully managed with the central system since it needs to be aggregated and analyzed within a short duration of time as produced by sensors. This paper provides a framework and mechanism that uses a chromatic value to represent sensor data for faster processing. Few bytes of data are passed by the framework with actual sensor data considering the standard Signal-to-Noise-interference for the receiver. These bytes are employed to represent pre-configured chromatic (`coloring' being used as a symbolic dimension) number that represents the different states/ranges of data associated which enables the integrator (logic/circuit) to parse this data quickly. This framework helps reduce the overhead cost and gain efficiency by mapping chromatic values with a range of values, which is a key contribution of this paper. This newly defined framework thus ensures optimal management of data at the edge of the device/sensor/network so that analytics on the central database can be performed in less duration.
SoC estimation based on adaptive EKF with colored noise (2017)

The paper utilizes a novel battery model based on the electrical features of LiFePO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sub> battery, because Kalman filter algorithm(KF) is largely dependent on system model. Measurements of battery state are easily disturbed by colored noise which is high relevance in working condition, and the paper studies that the system noise satisfy one-order AR model. The paper proposes an adaptive extended Kalman filter with colored noise(CN-AEKF). The simulation proves that the algorithm can accurately estimate SoC and possess algorithm stability. At the same time, the algorithm solves the sensitivity of initial covariance value of system noise, improving the adaptivity of estimating SoC.
Racial and ethnic disparities in kidney transplantation (2010)

Success of renal transplantation, as a viable alternative to dialysis, has been tempered by long-standing racial disparities. Ethnic minorities have less access to transplantation, are less likely to be listed for transplantation, and experience a higher rate of graft failure. Reasons for the existing racial disparities at various stages of the transplantation process are complex and multi-factorial. They include a combination of behavioral, social, environmental, and occupational factors, as well as potential intended or unintended discrimination within the healthcare system. Immunologic factors such as human leukocyte antigen matching, composition of the organ donor pool, and patient immune response, all of which affect post-transplantation graft rejection rates and patient survival, also contribute to health disparities between ethnic groups.
Arthroscopic Knot Tying (2003)

Arthroscopic knot tying is a crucial foundation in the field of arthroscopic surgery. The clinical outcome can be improved with solid understanding of its principle and proficiency on its technique. It is the obligation of surgeons to acquire the knowledge and skills before applying to their patients. The basic principles and techniques of arthroscopic knot tying are described in this article, including the practical way of classifying the knot configuration. The SMC knot deserves special attention in knot tying due to its internal locking mechanism, which has a crucial role in preventing the initial reverse slippage before the additional locking halfhitch throws.
Current Harmonic Reduction in DC-Link Capacitors of a Regenerative Cascaded H-Bridge Converter (2020)

This paper proposes a new approach to reduce current harmonics in the power cell dc-link capacitors of a regenerative cascaded H-bridge (regen-CHB) converter. In order to suppress the 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">nd</sup> carrier band dominant harmonic current injected into dc-link capacitor, a pulse width modulation (PWM) carrier shifted angle optimization is proposed. This proposed method is based on an optimization ideology, which can promote dc-link capacitor's performance on ripple current rating and power loss. The theoretical analysis of dc-link capacitor current harmonics and corresponding optimization ideology for the problem is studied in this paper. Compared to the other existing methods for dc-link capacitor current ripple suppression, the proposed method requires no online parameter update and realtime computation. The simulation results show a noticeable elimination of dominant current harmonics which reduces rms current and current ripples of the dc-link capacitors significantly.
<b>IMMUNOCYTOCHEMICAL DETECTION OF THE c-<i>myc</i> ONCOGENE PRODUCT IN HUMAN FETUSES </b> (1986)

The immunohistochemical distribution of c-myc gene product was studied in human fetuses by the use of an antiserum raised against the C-terminal portion of the human c-myc gene protein. The liver of human fetuses revealed intensely immunoreactive cells intermingled with a small number of negative ones. Immunoreactive cells were very few in the adult liver. In the fetal kidney, proximal convolutions reacted positively to the antiserum; this reaction was retained in the adult organ. A neoplastic tissue of human giant cell lung carcinoma (Lu-65), which has cmyc gene amplification, contained numerous cells immunoreactive for the c-myc gene product. This study demonstrated that in all ofthe above tissues, the immunoreactivity for the c-myc gene product was localized in the cytoplasm and not in the nuclei.
Toxicogenomics Applied to In Vitro Carcinogenicity Testing with Balb/c 3T3 Cells Revealed a Gene Signature Predictive of Chemical Carcinogens (2010)

Information on the carcinogenic potential of chemicals is primarily available for High Production Volume (HPV) products. Because of the limited knowledge gain from routine cancer bioassays and the fact that HPV chemicals are tested only, there is the need for more cost-effective and informative testing strategies. Here we report the application of advanced genomics to a cellular transformation assay to identify toxicity pathways and gene signatures predictive for carcinogenicity. Specifically, genome-wide gene expression analysis and quantitative real time polymerase chain reaction (qRT-PCR) were applied to untransformed and transformed mouse fibroblast Balb/c 3T3 cells that were exposed to either 2, 4-diaminotoluene, benzo(a)pyrene, 2-acetylaminoflourene, or 3-methycholanthrene at IC20 conditions for 24 and 120 h, respectively. Then, bioinformatics was applied to define toxicity pathways and a gene signature predictive of the carcinogenic risk of these chemicals. Although bioinformatics revealed distinct differences for individual chemicals at the gene-level pathway, analysis identified common perturbation that resulted in an identification of 14 genes whose regulation in cancer tissue had already been established. Strikingly, this gene signature was identified in short-term (24 and 120 h) untransformed and transformed cells (3 weeks), therefore demonstrating robustness for its predictive power. The developed testing strategy thus identified commonly regulated carcinogenic pathways and a gene signature that predicted the risk for carcinogenicity for three well-known carcinogens. Overall, the testing strategy warrants in-depth validation for the prediction of carcinogenic risk of industrial chemicals in in vitro carcinogenicity assay.
Proton NMR study of spin density wave thermal fluctuations in (TMTSF)2PF6, where TMTSF is tetramethyltetraselenafulvalene (1993)

Measurements of the proton spin-lattice relaxation rate (1/T1) at a pressure of 1 bar in a single crystal of (TMTSF)2PF6 (TMTSF is tetramethyltetraselenafulvalene) are reported for the magnetic field in the range 0.25-1.48 T aligned along the b'- and c*- axes over the temperature range 2-30 K. The methyl group rotation contribution to 1/T1 is subtracted to obtain the spin density wave (SDW) contribution. Through measurements of 1/T1 below and above the spin flop transition it is determined that phason fluctuations of the SDW are responsible for most of the relaxation. Depinning the SDW's by an electric field leaves 1/T1 nearly unchanged, which indicates that the SDW and its fluctuation rate near 108 rad/s persist when the SDW is sliding. Analysis of the peak in 1/T1 near 3 K on the applied magnetic field suggests that it represents a slowing of thermally activated fluctuations with an activation energy Δ/kB = 18.3 ± 4.0 K, which is close to the single particle gap for this material. The contribution of critical fluctuations to 1/T1 is consistent with the transition being weakly first order. Unlike the relaxation in the ordered phase, the contribution of the critical fluctuations is isotropic and has little, if any dependence on magnetic field.
Trasplante renal grupo sanguíneo ABO incompatible. Experiencia colaborativa inédita España y Perú (2017)

La incompatibilidad de grupo sanguíneo ABO y la sensibilización al HLA constituyen grandes barreras a vencer en pro de la óptima utilización de riñones de donante vivo. Describimos en nuestro medio el primer trasplante renal exitoso ABO incompatible en un paciente de 24 años, retrasplantado renal, altamente sensibilizado (PRA: 89%) y sin opción alguna en disponer de donantes cadavéricos ni familiares. Sin embargo, su único donante vivo HLA compatible era de grupo sanguíneo A incompatible con el grupo O del receptor. El paciente requirió de un régimen precondicionante consistente en recambios plasmáticos, rituximab, imunoglobulina y terapia inmunosupresora cuádruple, a fin de reducir los títulos elevados de isoaglutininas anti A de 1:128 a niveles de seguridad de 1:8, para el éxito del trasplante. Este fue realizado en Coordinación con la Unidad de Trasplante Renal del Hospital Clínic de Barcelona España (HCB). La ausencia de rechazo mediado por isoaglutininas muestra el potencial beneficio del protocolo al remover los anticuerpos anti grupo sanguíneo. A los dos años del trasplante, la función renal se mantiene estable con niveles de creatinina 1,5 mg%. Concluimos que el trasplante renal ABO incompatible (ABOi) es opción viable para pacientes cuyo único donante sea grupo sanguíneo incompatible, y entre nosotros representa esperanzadora fuente de órganos.
SCL: simplifying distributed SDN control planes (2017)

We consider the following question: what consistency model is appropriate for coordinating the actions of a replicated set of SDN controllers? We first argue that the conventional requirement of strong consistency, typically achieved through the use of Paxos or other consensus algorithms, is conceptually unnecessary to handle unplanned network updates. We present an alternate approach, based on the weaker notion of eventual correctness, and describe the design of a simple coordination layer (SCL) that can seamlessly turn a set of singleimage SDN controllers (that obey certain properties) into a distributed SDN system that achieves this goal (whereas traditional consensus mechanisms do not). We then show through analysis and simulation that our approach provides faster responses to network events. While our primary focus is on handling unplanned network updates, our coordination layer also handles policy updates and other situations where consistency is warranted. Thus, contrary to the prevailing wisdom, we argue that distributed SDN control planes need only be slightly more complicated than single-image controllers.
Strain-Compensated Multi-Quantum Barriers for Reduction of Electron Leakages in Long-Wavelength Semiconductor Lasers (1995)

To suppress the leakage of hot electrons and thermionic electrons over the hetero-barrier of an active layer for long-wavelength lasers, we have proposed a two-cavity strain-compensated multi-quantum barrier, which utilizes alternate strain natures in wells and barriers to increase the barrier height. The coupling of two strain-compensated superlattices under the off-resonant condition increases the virtual electron barrier up to about 1.3 eV. It is not only sufficient to suppress the hot electrons, but it has the advantages of aluminium-free crystal growth and suppression of misfit dislocations by strain-compensation.
Language Detection combining discriminating approach and temporal decision with neural network modeling (2006)

In this paper, we present a new method of language detection. This method is based on language pair discrimination using neural networks as classifier of acoustic features. The neural networks outputs are analyzed with two points of view, first the observed time series is uncorrelated and we sum it, secondly we consider it as correlated and we focus on the maximum continuous duration of each output. No acoustic decomposition of the speech signal is needed. We present an application of our method for the language detection task used for the NIST 2005 language recognition evaluation
Statistical Characterization of 18650-Format Lithium-Ion Cell Thermal Runaway Energy Distributions (2017)

Effective thermal management systems, designed to handle the impacts of thermal runaway (TR) and to prevent cell-to-cell propagation, are key to safe operation of lithium-ion (Li-ion) battery assemblies. Critical factors for optimizing these systems include the total energy released during a single cell TR event and the fraction of the total energy that is released through the cell casing vs. through the ejecta material. A unique calorimeter was utilized to examine the TR behavior of a statistically significant number of 18650-format Li-ion cells with varying manufacturers, chemistries, and capacities. The calorimeter was designed to contain the TR energy in a format conducive to discerning the fractions of energy released through the cell casing vs. through the ejecta material. Other benefits of this calorimeter included the ability to rapidly test of large quantities of cells and the intentional minimization of secondary combustion effects. High energy (270 Wh/kg) and moderate energy (200 Wh/kg) 18650 cells were tested. Some of the cells had an imbedded short circuit (ISC) device installed to aid in the examination of TR mechanisms under more realistic conditions. Other variations included cells with bottom vent (BV) features and cells with thin casings (0.22 1/4m). After combining the data gathered with the calorimeter, a statistical approach was used to examine the probability of certain TR behavior, and the associated energy distributions, as a function of capacity, venting features, cell casing thickness and temperature.
Compact prototype apparatus for reducing the circle of confusion down to 40 nm for x-ray nanotomography (2013)

We have constructed a compact prototype apparatus for active correction of circle of confusion during rotational motion. Our system combines fiber optic interferometry as a sensing element, the reference cylinder along with the nanopositioning system, and a robust correction algorithm. We demonstrate dynamic correction of run-out errors down to 40 nm; the resolution is limited by ambient environment and accuracy of correcting nanopositioners. Our approach provides a compact solution for in-vacuum scanning nanotomography x-ray experiments with a potential to reach sub-nm level of correction.
Nutrition Report Cards: An Opportunity to Improve School Lunch Selection (2013)

This test of concept suggests that NRCs are a feasible and inexpensive tool to guide children towards healthier choices.
Anemarrhena asphodeloides modulates gut microbiota and restores pancreatic function in diabetic rats (2020)

Anemarrhena asphodeloides is an herb widely used to treat symptoms associated with diabetes in traditional Chinese medicine. However, its key components and metabolites have low bioavailability and poor host absorption. To clarify the anti-diabetic mechanism of A. asphodeloides extract (AAE), we examined the anti-diabetic effects of AAE in rats with diabetes induced by a high-fat diet and streptozotocin. Faeces levels of the main components and metabolites of AAE were significantly higher than levels in plasma, which indicated that gut microbiota might play important roles in its anti-diabetic effect. Microbiological studies showed that unabsorbed components increased the diversity of the gut microbiota, enriched potentially beneficial bacteria, and suppressed potentially harmful bacteria. In vitro studies showed that AAE promoted the proliferation of Blautia coccoides, a bacterium with positive implication for diabetes, in a dose-dependent manner. AAE also promoted pancreatic cell regeneration and restored the function of pancreatic islet cells via peroxiredoxin 4 overexpression. Overall, these results suggest that AAE alleviates diabetes via modulating gut microbiota and protein expression.
Immersed boundary method for unsteady kinetic model equations (2015)

Summary Predicting unsteady flows and aerodynamic forces for large displacement motion of microstructures requires transient solution of Boltzmann equation with moving boundaries. For the inclusion of moving complex boundaries for these problems, three immersed boundary method flux formulations (interpolation, relaxation, and interrelaxation) are presented. These formulations are implemented in a 2‐D finite volume method solver for ellipsoidal‐statistical (ES)‐Bhatnagar‐Gross‐Krook (BGK) equations using unstructured meshes. For the verification, a transient analytical solution for free molecular 1‐D flow is derived, and results are compared with the immersed boundary (IB)‐ES‐BGK methods. In 2‐D, methods are verified with the conformal, non‐moving finite volume method, and it is shown that the interrelaxation flux formulation gives an error less than the interpolation and relaxation methods for a given mesh size. Furthermore, formulations applied to a thermally induced flow for a heated beam near a cold substrate show that interrelaxation formulation gives more accurate solution in terms of heat flux. As a 2‐D unsteady application, IB/ES‐BGK methods are used to determine flow properties and damping forces for impulsive motion of microbeam due to high inertial forces. IB/ES‐BGK methods are compared with Navier–Stokes solution at low Knudsen numbers, and it is shown that velocity slip in the transitional rarefied regime reduces the unsteady damping force. Copyright © 2015 John Wiley &amp; Sons, Ltd.