gebhart/patrepeval huggingface dataset:
Ribonucleotide content of mononuclear cells from normal subjects and patients with chronic lymphocytic leukemia: increased nicotinamide adenine dinucleotide concentration in chronic lymphocytic leukemia lymphocytes. (1983)

The ribonucleotide content of lymphocytes obtained from normal subjects and patients with chronic lymphocytic leukemia (CLL) was determined by means of high-performance liquid chromatography. The levels of normal B- and T-cells were compared to each other as well as those of their CLL counterparts. Unfractionated CLL lymphocytes, predominantly B-cells, had significantly lower levels of adenosine-5'-triphosphate, cytidine-5'-triphosphate, uridine-5'-triphosphate, cytidine-5'-diphosphate, and guanosine-5'-phosphate, while the concentration of nicotinamide-adenine dinucleotide was significantly higher than in normal unfractionated lymphocytes which consisted mainly of T-cells. For enriched populations: (a) CLL B-cells had much lower adenosine-5'-triphosphate (3439 versus 5689) (pmol/1 X 10(7) cells), cytidine-5'-triphosphate (107 versus 313), guanosine-5'-triphosphate (462 versus 978), and uridine-5'-triphosphate (633 versus 1214) than normal B-cells; (b) CLL T-enriched subpopulations had significantly lower ribonucleoside triphosphates, adenosine-5'-triphosphate (3217 versus 5468), cytidine-5'-triphosphate (119 versus 209), guanosine-5'-triphosphate (422 versus 826), and uridine-5'-triphosphate (504 versus 969) than normal T-cells. The lower ribonucleoside triphosphate levels found in unfractionated CLL lymphocytes, therefore, are the result of differences between the CLL and normal B-cells as well as between CLL and normal T-cells. These findings establish a framework for studying the reasons underlying the decreased ribonucleoside triphosphate levels in unfractionated CLL lymphocytes. T-helper and T-suppressor lymphocytes showed similar ribonucleotide patterns. Nucleoside and base levels were significantly higher in normal monocytes than in normal lymphocytes. The only compound found to be increased in the CLL B-lymphocytes when compared to their normal counterparts was nicotinamide-adenine dinucleotide. The level in CLL lymphocytes was 404 versus 209 pmol/10(7) cells for normal B-lymphocytes. No correlation was found between any ribonucleotide levels and the expression of 5'-nucleotidase activity.
Machine learning–based prediction of clinical pain using multimodal neuroimaging and autonomic metrics (2018)

Although self-report pain ratings are the gold standard in clinical pain assessment, they are inherently subjective in nature and significantly influenced by multidimensional contextual variables. Although objective biomarkers for pain could substantially aid pain diagnosis and development of novel therapies, reliable markers for clinical pain have been elusive. In this study, individualized physical maneuvers were used to exacerbate clinical pain in patients with chronic low back pain (N = 53), thereby experimentally producing lower and higher pain states. Multivariate machine-learning models were then built from brain imaging (resting-state blood-oxygenation-level-dependent and arterial spin labeling functional imaging) and autonomic activity (heart rate variability) features to predict within-patient clinical pain intensity states (ie, lower vs higher pain) and were then applied to predict between-patient clinical pain ratings with independent training and testing data sets. Within-patient classification between lower and higher clinical pain intensity states showed best performance (accuracy = 92.45%, area under the curve = 0.97) when all 3 multimodal parameters were combined. Between-patient prediction of clinical pain intensity using independent training and testing data sets also demonstrated significant prediction across pain ratings using the combined model (Pearson's r = 0.63). Classification of increased pain was weighted by elevated cerebral blood flow in the thalamus, and prefrontal and posterior cingulate cortices, and increased primary somatosensory connectivity to frontoinsular cortex. Our machine-learning approach introduces a model with putative biomarkers for clinical pain and multiple clinical applications alongside self-report, from pain assessment in noncommunicative patients to identification of objective pain endophenotypes that can be used in future longitudinal research aimed at discovery of new approaches to combat chronic pain.
Diminished Recruitment of Resident Skeletal Progenitor Cells in Diabetic Fracture Healing (2014)

Tevlin, Ruth MB, BAO, BCh, MRCSI; Seo, Elly MA; McArdle, Adrian MB, BCh, MRCSI; Marecic, Owen BA; Wearda, Taylor BS; Senarath-Yapa, Kshemendra MBBChir, MRCS; Zielins, Elizabeth R. MD; Chan, Charles K. PhD; Weissman, Irving L. MD; Longaker, Michael T. MD, MBA, FACS Author Information
UPTAKE OF OXYTOCIN IN TISSUES AFTER INTRAVENOUS ADMINISTRATION OF TRITIATED OXYTOCIN IN RATS (1969)

ABSTRACT The distribution of oxytocin in the kidneys, liver, uterus and skeletal muscle of the rat was followed during 10 min after intravenous injection of tritium labelled oxytocin. Oxytocin was found to be taken up and degraded mainly in the kidneys and the liver. After 150 seconds no intact oxytocin could be detected in these organs. The time course of the distribution of the radioactivity in the liver and the skeletal muscle showed no noteworthy characteristics, whereas a different course was found in the kidneys and in the uterus. In the kidneys, the radioactivity increased continuously from 60 to 200 seconds after the injection, indicating an accumulation of oxytocin or its metabolites in the kidneys. In the uterus a high initial uptake was observed, followed by a decrease of the radioactivity from 60 to 100 seconds after the injection. This distribution pattern was specific to oxytocin, since the uptake of tritiated tyrosine and tritiated water was almost constant during the same time period. These findings may indicate a preferential distribution of oxytocin to the uterus.
Prognosis of quality sensors in the Barcelona drinking water network (2016)

One of the most important areas of the water utilities is the water quality management. This area is responsible of guaranteeing safety in the water supply to the citizens. The strategy to guarantee the safety is based on two principal elements: disinfection and monitoring. Disinfection techniques, such as chlorination, allow to prevent the growing of microorganisms present in the water. Moreover, in order to guarantee this safety in the whole water network and avoid any unexpected event, on-line sensors are required to monitor a set of quality parameters. The whole process is based on the assumption that the information retrieved from quality sensors is totally reliable. But due to the complexity of the calibration and maintenance of these chemical sensors, several factors affect the accuracy of the raw data collected. Consequently, any decision based on this raw data might be based on a non solid base. Therefore, this work presents a data analytics approach consisting in two modules: fault diagnosis and prognosis. The fault diagnosis module first discerns if a sensor is detecting a real change on water quality parameters or actually is providing inconsistent information due to some malfunction. The prognosis module aims to predict the fault instant due to a slow degradation, which is very common in chlorine sensors. This approach allows to apply a predictive maintenance strategy reducing corrective actions. The proposed methodology has been satisfactorily tested on the Barcelona Drinking Water Network.
Energy Levels in<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:mrow><mml:mn>12</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math>from<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">Be</mml:mi></mml:mrow><mml:mrow><mml:mn>9</mml:mn></mml:mrow></mml:msup></mml:mrow><mml:mo>(</mml:mo><mml:mi>α</mml:mi><mml:mo>,</mml:mo><mml:mi>n</mml:mi><mml:mo>)</mml:mo><mml:mrow><mml:msup><mml:mrow><mml:mi mathvariant="normal">C</mml:mi></mml:mrow><mml:mrow><mml:mn>12</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math> (1952)

A thin polonium source and thin beryllium target have been used to investigate energy states in ${\mathrm{C}}^{12}$. The neutron spectrum was determined from proton tracks in Eastman NTA emulsions. By investigating the neutrons emitted in the forward and backward directions, neutrons associated with the transition to the ground state of ${\mathrm{C}}^{12}$ were detected, and excited levels in ${\mathrm{C}}^{12}$ were identified at 4.2 and 7.5 Mev above the ground state.
A BETWEEN-CLASS OVERLAPPING FILTER-BASED METHOD FOR TRANSCRIPTOME DATA ANALYSIS (2012)

Feature selection algorithms play a crucial role in identifying and discovering important genes for cancer classification. Feature selection algorithms can be broadly categorized into two main groups: filter-based methods and wrapper-based methods. Filter-based methods have been quite popular in the literature due to their many advantages, including computational efficiency, simplistic architecture, and an intuitively simple means of discovering biological and clinical aspects. However, these methods have limitations, and the classification accuracy of the selected genes is less accurate. In this paper, we propose a set of univariate filter-based methods using a between-class overlapping criterion. The proposed techniques have been compared with many other univariate filter-based methods using an acute leukemia dataset. The following properties have been examined: classification accuracy of the selected individual genes and the gene subsets; redundancy check among selected genes using ridge regression and LASSO methods; similarity and sensitivity analyses; functional analysis; and, stability analysis. A comprehensive experiment shows promising results for our proposed techniques. The univariate filter based methods using between-class overlapping criterion are accurate and robust, have biological significance, and are computationally efficient and easy to implement. Therefore, they are well suited for biological and clinical discoveries.
Detection of High-Molecular-Weight RNA in Particles from Human Milk (1972)

Particles from human milk contain a reverse transcriptase and a high-molecular-weight (60S to 70S) RNA that serves as a template. These particles have two features diagnostic of known RNA tumor viruses.
Potent <i>In vitro</i> and <i>In vivo</i> Activity of an Fc-Engineered Anti-CD19 Monoclonal Antibody against Lymphoma and Leukemia (2008)

CD19 is a pan B-cell surface receptor expressed from pro-B-cell development until its down-regulation during terminal differentiation into plasma cells. CD19 represents an attractive immunotherapy target for cancers of lymphoid origin due to its high expression levels on the vast majority of non-Hodgkin's lymphomas and some leukemias. A humanized anti-CD19 antibody with an engineered Fc domain (XmAb5574) was generated to increase binding to Fcgamma receptors on immune cells and thus increase Fc-mediated effector functions. In vitro, XmAb5574 enhanced antibody-dependent cell-mediated cytotoxicity 100-fold to 1,000-fold relative to an anti-CD19 IgG1 analogue against a broad range of B-lymphoma and leukemia cell lines. Furthermore, XmAb5574 conferred antibody-dependent cell-mediated cytotoxicity against patient-derived acute lymphoblastic leukemia and mantle cell lymphoma cells, whereas the IgG1 analogue was inactive. XmAb5574 also increased antibody-dependent cellular phagocytosis and apoptosis. In vivo, XmAb5574 significantly inhibited lymphoma growth in prophylactic and established mouse xenograft models, and showed more potent antitumor activity than its IgG1 analogue. Comparisons with a variant incapable of Fcgamma receptor binding showed that engagement of these receptors is critical for optimal antitumor efficacy. These results suggest that XmAb5574 exhibits potent tumor cytotoxicity via direct and indirect effector functions and thus warrants clinical evaluation as an immunotherapeutic for CD19(+) hematologic malignancies.
Successful Treatment of Chronic Bone and Joint Infections with Oral Linezolid (2004)

Linezolid is an attractive alternative for the treatment of chronic bone and joint infections because it is active against common pathogens including methicillin-resistant staphylococci and vancomycin-resistant enterococci and because its oral formulation is convenient for long-term administration. To evaluate the ability of linezolid to produce long-term remission, we prospectively monitored 11 consecutive adult patients who received linezolid for osteomyelitis (n = 9) or prosthetic joint infection (n = 2). Linezolid 600 mg was administered orally twice daily for a mean of 10 weeks (range, 6 to 19 weeks). Pathogens were methicillin-resistant Staphylococcus aureus (n = 5), methicillin-resistant coagulase-negative staphylococci (n = 4), vancomycin-resistant Enterococcus faecium (n = 1), and vancomycin-sensitive Enterococcus faecalis (n = 1). After a mean followup of 27 months (range, 17 to 41 months), all 11 patients had remission by clinical, laboratory, and radiographic criteria. During week 8 of linezolid treatment, one patient developed a gram-negative superinfection, which resolved with appropriate therapy. During week 6 of linezolid treatment, one patient developed mild thrombocytopenia and another patient developed mild anemia. Both episodes of myelosuppression were reversible within 10 days after completing the planned 6-week courses of linezolid. We recommend weekly complete blood counts to detect hematologic abnormalities. We conclude that oral linezolid seems to be a useful and convenient alternative for the treatment of bone and joint infections.
Scanning force microscopy of microtubules and polymorphic tubulin assemblies in air and in liquid (1995)

We have investigated microtubules (MTs) and polymorphic assemblies, formed in vitro from isolated microtubule protein, by scanning force microscopy (SFM) in air and in liquid. Immobilization of MTs was achieved by placing a drop of the assembly solution on a polylysine-coated coverslip. After washing with taxol and air drying, the characteristic microtubular fibrous morphology appeared in the SFM. The MTs formed a network similar to that obtained by transmission electron microscopy (TEM). A height of approximately 9.5 nm for dried MTs was computed from the surface topography. Glutaraldehyde fixation of the MTs yielded higher structures (approximately 14 nm), which swelled to approximately 20 nm after rehydration, a value close to the MT diameter of approximately 25 nm determined from TEM images of ultrathin sections. The protofilament pattern of the MTs and surface attached MT-associated proteins were not apparent from SFM, although the height along the long axis of the MTs appeared slightly modulated. In addition to MTs, various polymorphic tubulin assemblies including ribbons, hoops and double-walled MTs were visualized by SFM.
Classification in Networked Data: a Toolkit and a Univariate Case Study (2004)

This paper is about classifying entities that are interlinked with entities for which the class is known. After surveying prior work, we present NetKit, a modular toolkit for classification in networked data, and a case-study of its application to networked data used in prior machine learning research. NetKit is based on a node-centric framework in which classifiers comprise a local classifier, a relational classifier, and a collective inference procedure. Various existing node-centric relational learning algorithms can be instantiated with appropriate choices for these components, and new combinations of components realize new algorithms. The case study focuses on univariate network classification, for which the only information used is the structure of class linkage in the network (i.e., only links and some class labels). To our knowledge, no work previously has evaluated systematically the power of class-linkage alone for classification in machine learning benchmark data sets. The results demonstrate that very simple network-classification models perform quite well—well enough that they should be used regularly as baseline classifiers for studies of learning with networked data. The simplest method (which performs remarkably well) highlights the close correspondence between several existing methods introduced for different purposes—i.e., Gaussian-field classifiers, Hopfield networks, and relational-neighbor classifiers. The case study also shows that there are two sets of techniques that are preferable in different situations, namely when few versus many labels are known initially. We also demonstrate that link selection plays an important role similar to traditional feature selection.
Investigation of the Heterogeneity of Heterogalactan from the Fruit Bodies of <italic>Fomitopsis pinicola</italic>, by Employing Concanavalin A-Sepharose Affinity Chromatography (1981)

A heterogalactan was isolated from the hot water extract of fruit bodies of Fomitopsis pinicola by a combination of fractionation procedures including precipitation with ethanol and with Cetavlon, and chromatography on columns of DEAE-cellulose and Sephadex G-100. Despite its apparent homogeneity on gel filtration, zone electrophoresis, sedimentation equilibration, and immunodiffusion analyses, the neutral component of heterogalactan was further fractionated into unbound, weakly bound, and strongly bound forms by affinity chromatography on a column of concanavalin A-Sepharose CL 4B. The former two polysaccharides fractions eluted with 0.1 M phosphate buffer (pH 7.0) were found to be a fucogalactan and a mannofucogalactan, respectively. A more tightly bound fraction (mannofucogalactan) was subsequently eluted with 0.1 M glucose in 1 M NaCl. The results of methylation, complete Smith degradation, and proton and 13C NMR spectroscopic analyses indicated that the three kinds of heterogalactans are all highly branched polysaccharides containing a framework of (1 leads to 6)-linked alpha-D-galactopyranosyl residues, the C-2 positions of which are substituted in different proportions with either single L-fucopyranosyl residues or disaccharide units of 3-O-alpha-D-mannopyranosyl-L-fucopyranose residues.
Intravenous Glial Growth Factor 2 (GGF2) Isoform of Neuregulin-1β Improves Left Ventricular Function, Gene and Protein Expression in Rats after Myocardial Infarction (2013)

This study demonstrates that in rats with MI induced systolic dysfunction, GGF2 treatment improves cardiac function. There are differences in sensitivity of the myocardium to GGF2 effects when administered early vs. late post-MI that may be important to consider in the development of GGF2 in humans.
Buzz-Beat Interference in Multi-Sound Television Receivers (1972)

音声多重テレビ受像機の副チャネルバズビートの発生機構を明らかにし, 理論式を導き, 受像機各部分の特性のバズビートへの影響を定量的に定めた.一方, 音質評価から求められた許容限界から考えて, それぞれかなりの特性改善を要することを指摘した.次に上記解析結果を基にして, 最も重要なビデオ検波・増幅回路でのバズビート発生レベルを10dB改善することにより, 大幅な音質改善をはかるとともに, 理論の正しさを示した.
Design and realization of stereoscopic 3D for Disney classics (2011)

The stereoscopic conversions of Disney's The Lion King and Beauty and the Beast required development of novel techniques to art direct, edit, and visualize 3D depth. Producing stereo without geometric models meant the creation of an extensive toolset to create and validate plausible depth for each pixel on screen.
Black silicon photovoltaics (2012)

The challenge of future solar cell technologies is the combination of highly efficient cell concepts and low cost fabrication processes. A promising concept for high efficiencies is the usage of nanostructured silicon, so-called black silicon. Due to its unique surface geometry the optical path of the incoming light through the silicon substrate is enhanced to nearly perfect light trapping. Combined with the semiconductor-insulator-semiconductor (SIS) solar cell concept it is possible to fabricate a low cost device by using conventional sputtering technologies. Therefore, a thin insulator is coated on the nanostructured silicon surface, followed by the deposition of a transparent conductive oxide (TCO), e.g. indium tin oxide (ITO) or aluminum doped zinc oxide (AZO). In such systems the TCO induces a heterojunction, hence, high temperature diffusion processes are not necessary. The optical and geometrical properties of different nanostructured silicon surfaces will be presented. Furthermore, the influence of the used TCO materials will be discussed and the solar cell performance under AM1.5G illumination of unstructured and structured SIS devices is shown.
Comparative Bactericidal Activity of Fluoroquinolones Against Clinical Isolates Resistant to Fluoroquinolones (2003)

The bactericidal activity of levofloxacin, ciprofloxacin, moxifloxacin and norfloxacin against clinical isolates conventionally classified as resistant to fluoroquinolones were compared at their maximum concentrations in serum, urine (except moxifloxacin) and bronchial mucosa (except norfloxacin). Time killing curves against Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, Staphylococcus epidermidis, and Streptococcus pneumoniae were performed. Serum concentrations of the tested drugs were not able to produce a bactericidal effect on fluoroquinolone-resistant strains. In the urine series, levofloxacin was always bactericidal (decrease > or = 3 logs CFU/ml), while norfloxacin and ciprofloxacin were bactericidal on E. coli (both), P. mirabilis (norfloxacin) and P. aeruginosa (ciprofloxacin). In the bronchial mucosa series, S. pneumoniae was rapidly killed by levofloxacin and moxifloxacin, and K. pneumoniae by levofloxacin after 12 hours. In conclusion, the maximum levofloxacin concentrations achievable at certain body sites allowed killing even of strains defined as resistant by conventional breakpoints.
Search for Unique Organic Biomarkers in ALH84001 (1999)

Four goals were outlined for this project. These were: [1] to reproduce the measurement of polycyclic aromatic hydrocarbons (PAHS) in ALH84001 with both a higher spatial resolution and sensitivity than has been previously reported; [2] to extend such measurements to include other members of the Martian SNC (Shergotties, Nahklites, and Chassigny) meteorite clan, in particular the Antarctic Martian meteorite EETA79001; [3] to address issues of potential organic contamination, because at present very little is known about the effect of terrestrial weathering in the Antarctic environment as it pertains to perturbing an indigenous organic distribution within a meteoritic matrix; and [4] to diversify the range of organic compounds studied to include species that can serve as unique biological markers - "molecular fossils" - derived from once living organisms. In order to achieve this, three specific goals were outlined for the funding period 06/01/97 to 02/28/98. They were: [1] to investigate the effects of terrestrial weathering and organic contamination of meteoritic samples collected from Antarctica; [2] to reproduce and extend upon the measurements of PAHs in ALH84001 with the aim of establishing or refuting the indigeneity of these species; and [3] to extend the analysis of organic compounds in ALH84001 and EETA79001 to address compounds that are considered to be more biologically relevant than PAHS. All three were successfully accomplished, as detailed in the previous performance report. In brief, however, the results achieved were to establish that the PAHs found in ALH84001 were indigenous and not due to contamination, and to determine that a novel and sensitive technique in meteoritic work, capillary zone electrophoresis (CE), could indeed detect amino acids, a potential class of biomarker.