gebhart/patrepeval huggingface dataset:
A fast-MPPT low-complexity autonomous PV water pumping scheme for PMSM (2014)

This paper proposes an autonomous photovoltaic (PV) water pumping system for rural/remote applications. The system has been designed to minimize complexity and cost while guaranteeing fast maximum power point tracking (MPPT). This feature is essential to provide optimum utilization of solar energy, maximizing the amount of extracted water. Low complexity hardware and control ensure higher reliability and ease of installation and servicing. In the proposed scheme, the PV string is directly connected with the DC-link of a three-phase VSI, driving a PMSM pump with a standard Field Oriented Control (FOC). To achieve fast MPPT, the controller integrates a Sliding-Mode Ripple-Correlation (SMRC) MPPT algorithm, acting on the pump speed reference. The system is therefore capable of operating without the need for additional power conversion stages dedicated to MPPT. Matlab simulation results confirm the effectiveness of the proposed architecture and control.
IMPROVING PROSPECT EVALUATION BY INTEGRATING PETROPHYSICAL MODELS INTO THE WORKFLOW (2002)

The workflow to estimate the potential reserves of an exploration opportunity usually begins with a geophysicist identifying a subsurface feature on seismic. Then, a geologist constructs a geological model with which to calculate hydrocarbon in place. Finally, a reservoir engineer estimates potential recovery with an associated production profile that includes the number and phasing of development wells. As core and log data tends to be sparse in most new venture areas, petrophysicists are seldom called on to help in the process. This omission may (and undoubtedly has) lead to major errors in the prospect evaluation. The problem stems from lack of communication and understanding between the various disciplines contributing to the various parts of the workflow. The static geological model tends to be created and populated in the G&G domain, whereas the dynamic behaviour of the model falls in the domain of the reservoir engineer. It is the authors’ experience that there is no guarantee that the assumed dynamic performance of the static model of rocks and fluids is realistic and appropriate. It is the authors’ experience that many bad practises occur in the initial setting up of Monte Carlo simulation model of hydrocarbon-in-place. For example, failure to consider the petrophysical model leads to incorrect distributions of the input parameters, neglecting to link dependent petrophysical parameters, and using “average” saturation values and ignoring height dependency. However, the above errors are compounded if the reservoir engineer also neglects to enquire about the appropriate petrophysical model. Once the G&G team have decided upon an appropriate reservoir type plus source and migration for the prospect under investigation, the rock type and fluid type are “fixed”. Hence, the petrophysical properties of net-to-gross, porosity, permeability and saturation will be “fixed”. These in turn define saturation-height shape (capillary pressure curves), well deliverability (permeability-thickness), the production profile and ultimate recovery (relative permeability and fractional flow curves). Thus, the reservoir engineer assumptions will be quite constrained if the petrophysical model is adhered to in the workflow. The paper outlines the prospect evaluation workflow in detail and illustrates the dramatic impact on estimated reserves if the petrophysical model is not “hard wired” into the workflow and compares the result to when it is integrated. Data from an oil field in the UKCS North Sea are used in the worked example.
Genome-wide association mapping of stress-tolerance traits in cotton (2018)

Environmental stresses severely impair cotton production worldwide. To identify the genetic basis of, and molecular markers associated with, environmental stresses such as salt, cold and Verticillium wilt, association mapping of salt-, cold-, and disease-tolerance traits was performed in a population of 503 upland cotton accessions using 179 polymorphic SSR markers and 11,975 array-derived SNP markers. Salt and cold tolerance was evaluated via the relative germination rate (RGR) of the seeds under seven and four environments, respectively. The disease index of Verticillium wilt was investigated for two years in the field in Xinjiang. These three traits showed large variation across environments. A genome-wide association study revealed that 31, 19, and 15 SSR markers were associated with RGR-Salt (the relative germination rates of seeds under salt stress), RGR-Cold (the relative germination rates of seeds under cold stress), and DIV (the disease index of Verticillium wilt), respectively. Six SNPs in seven environments and two SNPs in BLUP (best linear unbiased prediction) results were associated with RGR-Salt, and the phenotypic variance explained ranged from 3.96 to 5.00%. Two SNPs (i02237Gh, i02243Gh) on D01 were concluded to be stable genetic loci associated with RGR-Salt. A total of 223 genes were found in a candidate gene interval (D01, 37771–1942912). Of these four genes, GhPIP3A, GhSAG29, GhTZF4, and GhTZF4a, showed expression changes in sensitive and tolerant genotype accessions under salt stress, and were assigned as candidate genes associated with RGR-Salt. This study revealed the genetic basis of stress resistance in upland cotton and will facilitate stress-resistance breeding in cotton. Keywords: Upland cotton, Stress, Relative germination rate, SSR, SNP, Candidate gene
CBFB–MYH11/RUNX1 together with a compendium of hematopoietic regulators, chromatin modifiers and basal transcription factors occupies self-renewal genes in inv(16) acute myeloid leukemia (2013)

Different mechanisms for CBFβ-MYH11 function in acute myeloid leukemia with inv(16) have been proposed such as tethering of RUNX1 outside the nucleus, interference with transcription factor complex assembly and recruitment of histone deacetylases, all resulting in transcriptional repression of RUNX1 target genes. Here, through genome-wide CBFβ-MYH11-binding site analysis and quantitative interaction proteomics, we found that CBFβ-MYH11 localizes to RUNX1 occupied promoters, where it interacts with TAL1, FLI1 and TBP-associated factors (TAFs) in the context of the hematopoietic transcription factors ERG, GATA2 and PU.1/SPI1 and the coregulators EP300 and HDAC1. Transcriptional analysis revealed that upon fusion protein knockdown, a small subset of the CBFβ-MYH11 target genes show increased expression, confirming a role in transcriptional repression. However, the majority of CBFβ-MYH11 target genes, including genes implicated in hematopoietic stem cell self-renewal such as ID1, LMO1 and JAG1, are actively transcribed and repressed upon fusion protein knockdown. Together these results suggest an essential role for CBFβ-MYH11 in regulating the expression of genes involved in maintaining a stem cell phenotype.
p-t-Butylphenylphosphonic Acid (1954)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTp-t-Butylphenylphosphonic AcidGennady M. KosolapoffCite this: J. Am. Chem. Soc. 1954, 76, 12, 3222Publication Date (Print):June 1, 1954Publication History Published online1 May 2002Published inissue 1 June 1954https://pubs.acs.org/doi/10.1021/ja01641a038https://doi.org/10.1021/ja01641a038research-articleACS PublicationsRequest reuse permissionsArticle Views105Altmetric-Citations3LEARN 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 Other access optionsGet e-Alertsclose Get e-Alerts
Proteolytic degradation of calf thymus terminal deoxynucleotidyl transferase. (1982)

A high molecular weight preparation of terminal transferase containing 58,000-and 44,000-dalton peptides has been purified from calf thymus glands.The relationship of these terminal transferase peptides to the low molecular weight form was established with an immunoblot procedure using rabbit antibody directed against the homogeneous calf thymus low molecular weight terminal transferase (32,000 daltons).The 58,000-and 44,000-dalton enzyme species are each shown to be enzymatically active by renaturation in situ after electrophoresis on polyacrylamide gel in the presence of sodium dodecyl sulfate.These results suggest that the homogeneous terminal transferase previously described is derived from the higher molecular weight species by proteolysis during fractionation.Controlled degradation of the high molecular weight calf thymus terminal transferase with trypsin produces fully active enzyme containing a-and &peptides similar to those found in the 32,000-dalton species.Isoelectric focusing experiments show a decrease of isoelectric pH of the enzyme with proteolysis.Terminal deoxynucleotidyl transferase purified to homogeneity from calf thymus glands was originally shown to have a native M, = 32,000 by equilibrium sedimentation and two peptides of M , = 26,500 (P-peptide) and 8,000 (a-peptide) when analyzed by gel electrophoresis in the presence of sodium dodecyl sulfate (1).Rabbit antibody prepared against this homogeneous enzyme preparation (2) precipitates a single 58,000-dalton peptide from cell extracts of human and mouse leukemia lines labeled with radioactive amino acids (3).A high molecular weight enzyme (62,000-dalton peptide) was also purified from human leukemic lymphoblasts (4).Various molecular weight forms of terminal transferase have been described from human leukemic cells (5) and from calf, pig, rat, and mouse thymus gland (6).The immunoreactive peptides of terminal transferase preparations can be analyzed directly on electrophoretic blots of sodium dodecyl sulfate-polyacrylamide gels in the procedure described by Towbin et al. (7).Using this procedure we found a 58-to 60,000-dalton peptide to be the major immunoreactive peptide present in crude terminal transferase preparations from calf thymus, rat thymus, mouse thymus, chicken thymus, cat thymus, human 8402 cells, and mouse P1798 cells (8).
A novel CMOS-compatible high-voltage transistor structure (1986)

A novel high-voltage transistor structure, the insulated base transistor (IBT), based on a merged MOS-bipolar concept, ie described. This device, which can be implemented using a standard CMOS process, is capable of handling high current densities without latching. The IBT exhibits a fivefold increase in current density compared to the lateral DMOS. A simple technique by which the switching speeds of the IBT can be improved by almost an order of magnitude without significantly compromising its current carrying capability is also presented.
Face Recognition Based on Projected Color Space With Lighting Compensation (2011)

In this letter, we propose a novel color space conversion method called adaptive projection color space (APCS). This method includes two portions: adaptive singular value decomposition and an inner product conversion algorithm for color images. We employed images from the Color FERET and CMU-PIE databases for training and experiment. The results revealed that the recognition rates from our proposed APCS approach were higher than other color spaces and those of methods proposed in relevant studies.
The variation of carrier gas viscosities with temperature (1997)

Abstract After describing simplified equations exspressing the temparature dependency of the viscosity of carrier gases (helium, nitrogen and hydrogen ) relative to a base value, absolute relationships based on the kinetic theory of gases are discussed. Comparative data obtained using various calculation methods are given and are compared to measured values. Based on the kinetic relationshipsm, of viscosity. Finally, the influence of pressure on the viscosity is also briefly discussed. As a supplement, Viscosity data are tabulated for the three gases in the range of 0°C to 400°C in increments of 2 K, calculated using the kinetic relationships.
Experimental Evidence for Quantized Flux in Superconducting Cylinders (1961)

This article appears in the following collection:Letters from the Past - A PRL Retrospective2008 marked PRL's 50th anniversary. As part of the celebrations a collection of milestone Letters was started. The collection contains Letters that have made long-lived contributions to physics, either by announcing significant discoveries, or by initiating new areas of research.
Differential stimulation of proline‐rich tyrosine kinase 2 and mitogen‐activated protein kinase by sphingosine 1‐phosphate (1998)

Sphingosine 1-phosphate (SphP), a metabolite of cellular sphingolipids, has been shown to induce cell proliferation by activating the mitogen-activated protein kinase (MAPK) pathway. Proline-rich tyrosine kinase 2 (Pyk2) is a novel cytosolic tyrosine kinase which mediates activation of the MAPK or c-Jun N-terminal kinase (JNK) signaling pathways in response to a variety of stimuli that elevate intracellular calcium. In this report, we show that SphP stimulates both tyrosine phosphorylation of Pyk2 and MAPK activation in a transient and dose-dependent manner in rat aortic smooth muscle cells. Further studies indicate that Pyk2 phosphorylation, but not MAPK activation, is dependent on a pertussis toxin-sensitive G-protein-coupled receptor as well as partially on actin cytoskeleton. In addition, both intracellular calcium mobilization and protein kinase C (PKC) are required for optimal Pyk2 phosphorylation while either calcium increase or PKC activation is sufficient for MAPK activation in response to SphP. Finally, we show that a tyrosine kinase(s) other than Pyk2 is necessary for MAPK activation by SphP. Together, these results suggest that SphP stimulates tyrosine phosphorylation of Pyk2 through a G-protein coupled receptor, which is dissociated from its activation of the MAPK pathway in these cells.
Dependency graph-based statistical machine translation (2016)

Statistical Machine Translation has been shown to beneﬁt from complex linguistic structures. However, previous work mainly focuses on sequences and trees. In this thesis, we build dependency graphs which are constructed from dependency trees and uniformly represent both dependency relations and sequential relations, including bigram relations and sibling relations. We propose translation models to translate these graphs into target strings and conduct experiments on Chinese--English and German--English translation tasks.\nAs a motivation, we ﬁrstly present a pseudo forest-to-string model which improves a dependency tree-to-string model by dependency decomposition. The decomposition takes sibling relations into consideration which results in more rules being used and thus a higher phrase coverage. Experiments show that such decomposition is beneﬁcial to translation performance. Integrating phrasal rules further improves our model.\nThen, we propose a segmentational graph-based translation model. It segments graphs into subgraphs and generates translations from left to right by combining translations of these subgraphs. The graphs explicitly combine dependency relations and bigram relations. In experiments, the graph-based model outperforms both the phrase-based model and treelet-based model. In addition, we improve this model by using a graph segmentation model to take source context into consideration.\nFurthermore, inspired by using tree grammars to translate trees, we propose recursive graph-based translation models by using graph grammars. An edge replacement grammar is used to translate dependency-edge graphs which are converted from dependency trees by labeling edges to naturally take sibling relations into consideration. A node replacement grammar is used to translate dependency-sibling graphs which explicitly add sibling links to dependency trees. Experiments show that our models are signiﬁcantly better than the hierarchical phrase-based model.
A serial scan test vector compression methodology (2002)

This paper presents a serial scan test vector compression methodology for the test time reduction in a scan-based test environment. The reduction is achieved by the overlapping of two consecutive vectors. Hence, the order of test vectors determines the amount of reduction in tiem. Here, two test vector ordering algorithms, depth first greedy and coalesced simple orders algorithms, have been derived, implemented, and tested. Experimental results obtained are very close to estimations by statistical analysis.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Swapping Autoencoder for Deep Image Manipulation (2020)

Deep generative models have become increasingly effective at producing realistic images from randomly sampled seeds, but using such models for controllable manipulation of existing images remains challenging. We propose the Swapping Autoencoder, a deep model designed specifically for image manipulation, rather than random sampling. The key idea is to encode an image with two independent components and enforce that any swapped combination maps to a realistic image. In particular, we encourage the components to represent structure and texture, by enforcing one component to encode co-occurrent patch statistics across different parts of an image. As our method is trained with an encoder, finding the latent codes for a new input image becomes trivial, rather than cumbersome. As a result, it can be used to manipulate real input images in various ways, including texture swapping, local and global editing, and latent code vector arithmetic. Experiments on multiple datasets show that our model produces better results and is substantially more efficient compared to recent generative models.
Predicting the present with Bayesian structural time series (2014)

This article describes a system for short term forecasting based on an ensemble prediction that averages over different combinations of predictors. The system combines a structural time series model for the target series with a regression component capturing the contributions of contemporaneous search query data. A spike-and-slab prior on the regression coefficients induces sparsity, dramatically reducing the size of the regression problem. Our system averages over potential contributions from a very large set of models and gives easily digested reports of which coefficients are likely to be important. We illustrate with applications to initial claims for unemployment benefits and to retail sales. Although our exposition focuses on using search engine data to forecast economic time series, the underlying statistical methods can be applied to more general short term forecasting with large numbers of contemporaneous predictors.
CD19 CAR T cell product and disease attributes predict leukemia remission durability (2019)

Partial funding for this study was provided by Stand Up to Cancer & St. Baldrick's Pediatric Dream Team Translational Research Grant (SU2C-AACR-DT1113), RO1 CA136551-05, Alex Lemonade Stand Phase I/II Infrastructure Grant, Conquer Cancer Foundation Career Development Award, Washington State Life Sciences Discovery Fund, Ben Towne Foundation, William Lawrence & Blanche Hughes Foundation, and Juno Therapeutics, Inc., a Celgene Company.
Model-Informed Development of Sotalol Loading and Dose Escalation Employing an Intravenous Infusion (2020)

In patients with normal renal function, using an intravenous loading dose followed by oral administrations permits safe initiation or dose escalation of sotalol in 1 day instead of the 3-day dosing regimen with oral administration.
Presenile dementia syndromes: an update on taxonomy and diagnosis (2002)

The four major degenerative dementias that often begin in presenescence: are reviewed. These are Alzheimer's disease, frontotemporal dementia, dementia with Lewy bodies, and Creutzfeldt-Jakob disease. Their epidemiological, genetic, and clinical features are reviewed, and controversies in taxonomy arising from recent discoveries described. Particular attention is given to the pathological role of protein aggregation, which appears to be a factor in each disease.
2,3-Diaminonaphthalene as a Spectrophotometric and Fluorometric Reagent for the Determination of Nitrite Ion (1970)

Abstract Spectrophotometric and fluorometric procedures have been developed for the analysis of nitrite ion based upon 2,3-naphthotriazole formation with the reagent 2,3-diaminonaphthalene. Reaction conditions, interferences, solvent extraction, and sensitivity of the procedures are discussed.
Population pharmacokinetics in phase I drug development: a phase I study of PK1 in patients with solid tumours (1999)

Doxorubicin pharmacokinetics were determined in 33 patients with solid tumours who received intravenous doses of 20-320 mg m(-2) HPMA copolymer bound doxorubicin (PK1) in a phase I study. Since assay constraints limited the data at lower doses, conventional analysis was not feasible and a 'population approach' was used. Bound concentrations were best described by a biexponential model and further analyses revealed a small influence of dose or weight on V1 but no identifiable effects of age, body surface area, renal or hepatic function. The final model was: clearance (Q) 0.194 I h(-1); central compartment volume (V1) 4.48 x (1+0.00074 x dose (mg)) I; peripheral compartment volume (V2) 7.94 I; intercompartmental clearance 0.685 I h(-1). Distribution and elimination half-lives had median estimates of 2.7 h and 49 h respectively. Free doxorubicin was present at most sampling times with concentrations around 1000 times lower than bound doxorubicin values. Data were best described using a biexponential model and the following parameters were estimated: apparent clearance 180 I h-(-1); apparent V1 (I) 1450 x (1+0.0013 x dose (mg)), apparent V2 (I) 21 300 x (1-0.0013 x dose (mg)) x (1+2.95 x height (m)) and apparent Q 6950 I h(-1). Distribution and elimination half-lives were 0.13 h and 85 h respectively.