gebhart/patrepeval huggingface dataset:
Poly(methyl methacrylate)-Supported Polydiacetylene Films: Unique Chromatic Transitions and Molecular Sensing (2014)

Polydiacetylenes (PDAs) constitute a family of conjugated polymers exhibiting unique colorimetric and fluorescence transitions, and have attracted significant interest as chemo- and biosensing materials. We spin-coated PDA films upon poly(methyl methacrylate) (PMMA), and investigated the photophysical properties and sensing applications of the new PDA configuration. Specifically, the as-polymerized blue PDA layer underwent distinct transformations to purple, red, and yellow phases, which could be quantified through conventional color scanning combined with application of image analysis algorithms. Furthermore, we recorded a reversible red-purple PDA transition that was induced by ultraviolet irradiation, a phenomenon that had not been reported previously in PDA film systems. We show that distinct color and fluorescence transitions were induced in the PMMA-supported PDA films by amphiphilic substances-surfactants and ionic liquids-and that the chromatic transformations were correlated to the analyte structures and properties. Overall, this study presents a new chromatic PDA film system in which noncovalent interactions between the PMMA substrate and spin-coated PDA give rise to distinct chromatic properties and molecular sensing capabilities.
Predicting Clinical Outcome through Molecular Profiling in Stage III Melanoma (2008)

We describe a gene expression profile that is capable of distinguishing clinical outcomes in a previously homogeneous group of stage III melanoma patients.
Two-dimensional photonic-crystal lasers with centered-rectangular lattice structure (2009)

We propose and investigate two-dimensional photonic-crystal lasers with a centered-rectangular lattice, which spans the lattice structure between the conventional square and triangular lattices.
Modulation of Vigilance in the Primary Hypersomnias by Endogenous Enhancement of GABA <sub>A</sub> Receptors (2012)

The biology underlying excessive daytime sleepiness (hypersomnolence) is incompletely understood. After excluding known causes of sleepiness in 32 hypersomnolent patients, we showed that, in the presence of 10 μM γ-aminobutyric acid (GABA), cerebrospinal fluid (CSF) from these subjects stimulated GABA(A) receptor function in vitro by 84.0 ± 40.7% (SD) relative to the 35.8 ± 7.5% (SD) stimulation obtained with CSF from control subjects (Student's t test, t = 6.47, P < 0.0001); CSF alone had no effect on GABA(A) signaling. The bioactive CSF component had a mass of 500 to 3000 daltons and was neutralized by trypsin. Enhancement was greater for α2 subunit- versus α1 subunit-containing GABA(A) receptors and negligible for α4 subunit-containing ones. CSF samples from hypersomnolent patients also modestly enhanced benzodiazepine (BZD)-insensitive GABA(A) receptors and did not competitively displace BZDs from human brain tissue. Flumazenil--a drug that is generally believed to antagonize the sedative-hypnotic actions of BZDs only at the classical BZD-binding domain in GABA(A) receptors and to lack intrinsic activity--nevertheless reversed enhancement of GABA(A) signaling by hypersomnolent CSF in vitro. Furthermore, flumazenil normalized vigilance in seven hypersomnolent patients. We conclude that a naturally occurring substance in CSF augments inhibitory GABA signaling, thus revealing a new pathophysiology associated with excessive daytime sleepiness.
Controlling electromagnetic wave absorption characteristics by changing mixing ratios of magnetic powder of powder-type magnetic wood (2005)

Powder-type magnetic wood achieves both woody and magnetic characteristics by combining scrap wood powder with magnetic waste materials. In addition to showing magnetic characteristics, this powder-type magnetic wood also offers a wood texture, moisture-absorption characteristics, adiathermancy, and is very easy to process. It is worth noting that boards using powder-type magnetic wood can be used as indoor electromagnetic wave absorbers made from waste materials. The experimental results of this study show that the electromagnetic wave absorption characteristics can be controlled by changing the mixing ratio and thickness of Mn-Zn ferrite powder and Ni-Zn ferrite powder that is set as volume content 50 vol%.
Prediction of recurrence of non muscle‐invasive bladder cancer by means of a protein signature identified by antibody microarray analyses (2014)

About 70% of newly diagnosed cases of bladder cancer are low-stage, low-grade, non muscle-invasive. Standard treatment is transurethral resection. About 60% of the tumors will recur, however, and in part progress to become invasive. Therefore, surveillance cystoscopy is performed after resection. However, in the USA and Europe alone, about 54 000 new patients per year undergo repeated cystoscopies over several years, who do not experience recurrence. Analysing in a pilot study resected tumors from patients with (n = 19) and without local recurrence (n = 6) after a period of 5 years by means of an antibody microarray that targeted 724 cancer-related proteins, we identified 255 proteins with significantly differential abundance. Most are involved in the regulation and execution of apoptosis and cell proliferation. A multivariate classifier was constructed based on 20 proteins. It facilitates the prediction of recurrence with a sensitivity of 80% and a specificity of 100%. As a measure of overall accuracy, the area under the curve value was found to be 91%. After validation in additional sample cohorts with a similarly long follow-up, such a signature could support decision making about the stringency of surveillance or even different treatment options.
Sketch-based change detection (2003)

Traffic anomalies such as failures and attacks are commonplace in today's network, and identifying them rapidly and accurately is critical for large network operators. The detection typically treats the traffic as a collection of flows that need to be examined for significant changes in traffic pattern (eg, volume, number of connections). However, as link speeds and the number of flows increase, keeping per-flow state is either too expensive or too slow. We propose building compact summaries of the traffic data using the notion of sketches. We have designed a variant of the sketch data structure, k-ary sketch, which uses a constant, small amount of memory, and has constant per-record update and reconstruction cost. Its linearity property enables us to summarize traffic at various levels. We then implement a variety of time series forecast models (ARIMA, Holt-Winters, etc.) on top of such summaries and detect significant changes by looking for flows with large forecast errors. We also present heuristics for automatically configuring the model parameters.Using a large amount of real Internet traffic data from an operational tier-1 ISP, we demonstrate that our sketch-based change detection method is highly accurate, and can be implemented at low computation and memory costs. Our preliminary results are promising and hint at the possibility of using our method as a building block for network anomaly detection and traffic measurement.
Improved impedance analyzer with binary excitation signals (2015)

The impedance analyzers are widely used to measure, test and validate the properties of the materials, tissues, electrical and electronics networks etc. To make simple power-and cost-efficient device for real-time dynamical measurements in the wide frequency range, special binary waveforms excitation signals can be used, covering the desired spectrum points. Drawback of the using of the binary measurement signals is the presence of the aliased spectrum part in the response signal, giving reasonable measurement error in some cases. In the current paper the solution is proposed, where the measurement error is corrected by the reverse estimation and modeling of the circuit-under-test and the over-all measurement device and system. Examples of the real measurements and improvements are described, for the Piccolo DSP-chip based solution, working in the frequency range from 1 to 500 kHz (15 simultaneous frequencies, with 1 ms output refresh-rate), where the excitation signal is generated by the advanced PWM-unit of the Piccolo-chip and the response signal is acquired by the on-chip 12-bit ADC of the same Piccolo chip and processed on the place. By using of the proposed and described estimation-correction solution the impedance measurement error can be decreased from several tens of ohms till few ohms or even less, if using the fixed 1 kOhm resistor /Zx (measured impedance) voltage divider for the measurement circuit.
Desulfurization of Digester Gas on Industrial-Sludge-Derived Adsorbents (2007)

Waste sludges from heavy industry (shipyard) consisting of metals and waste oil were pyrolyzed either alone or as the 50:50 weight percent mixtures at 500, 650, and 950 °C. Resulting adsorbents were used as H2S removal media from a simulated mixture of dry digester gas. The breakthrough capacity was measured at dynamic conditions. The initial and exhausted materials after the breakthrough tests were characterized using sorption of nitrogen, thermal analysis, and surface pH measurements. The results obtained demonstrate the complex dependence of the capacity on the surface chemistry, porosity (volume and sizes of pores), and water content. In all cases, elemental sulfur is the predominant product of surface reactions. Generally speaking, an exposure of adsorbents to water enhances the H2S removal capacity, especially for materials obtained at low temperature. This is the result of their chemical instability and surface reactivity. This reactivity is linked to the presence of calcium, magnesium, and iron, which are known as catalysts for hydrogen sulfide oxidation. When water is not present, CO2 quickly deactivates alkaline-earth-metal-based centers, and thus, smaller H2S removal capacity is revealed.
A control-based approach to quantification of rate-dependent elastic modulus of living cell using atomic force microscope (2013)

This paper proposed a control-based approach to in-liquid nanoindentation measurement in mechanical property quantification of soft samples including living cell using atomic force microscope (AFM). Accurate indentation quantification is central to probe-based nanomechanical property measurement as the tip-cell interaction force and the indentation generated are the two most important variables to be measured. The conventional indentation measurement, however, fails to quantify the indentation accurately during the in-liquid nanomechanical measurement as the hydrodynamic force effect is not accounted for. We propose a control-based approach to accurately measure the indentation in liquid on soft sample even when the force load rate varies over a large range. The proposed approach is demonstrated through measuring the indentation and the elastic modulus of mouse embryonic fibroblast (MEF) cell in cell culture media when the force load rate was changed four orders of magnitude and up to hundred Hz range.
Rate adaptation for 802.11 multiuser mimo networks (2012)

In multiuser MIMO (MU-MIMO) networks, the optimal bit rate of a user is highly dynamic and changes from one packet to the next. This breaks traditional bit rate adaptation algorithms, which rely on recent history to predict the best bit rate for the next packet. To address this problem, we introduce TurboRate, a rate adaptation scheme for MU-MIMO LANs. TurboRate shows that clients in a MU-MIMO LAN can adapt their bit rate on a per-packet basis if each client learns two variables: its SNR when it transmits alone to the access point, and the direction along which its signal is received at the AP. TurboRate also shows that each client can compute these two variables passively without exchanging control frames with the access point. A TurboRate client then annotates its packets with these variables to enable other clients to pick the optimal bit rate and transmit concurrently to the AP. A prototype implementation in USRP-N200 shows that traditional rate adaptation does not deliver the gains of MU-MIMO WLANs, and can interact negatively with MU-MIMO, leading to low throughput. In contrast, enabling MU-MIMO with TurboRate provides a mean throughput gain of 1.7x and 2.3x, for 2-antenna and 3-antenna APs respectively.
Magnetic and micellar effects on photoreactions. 2. Magnetic isotope effects on quantum yields and magnetic field effects on separation efficiency. Correlation of carbon-13 enrichment parameters with quantum yield measurements (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMagnetic and micellar effects on photoreactions. 2. Magnetic isotope effects on quantum yields and magnetic field effects on separation efficiency. Correlation of carbon-13 enrichment parameters with quantum yield measurementsNicholas J. Turro, David R. Anderson, Ming-Fea Chow, Chao-Jen Chung, and Bernhard KraeutlerCite this: J. Am. Chem. Soc. 1981, 103, 13, 3892–3896Publication Date (Print):July 1, 1981Publication History Published online1 May 2002Published inissue 1 July 1981https://pubs.acs.org/doi/10.1021/ja00403a046https://doi.org/10.1021/ja00403a046research-articleACS PublicationsRequest reuse permissionsArticle Views66Altmetric-Citations18LEARN 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
127. Modulation of Adenoviral Vector Transduction by Hyaluronan and CD44 In Vivo (2006)

Adenoviral vectors have the ability to deliver transgenes to a broad spectrum of dividing and non-dividing cells. Ocular vitreous enhances transgene expression when cells are transduced with either adenovirus serotype 5 vectors (AdV5) or chimeric adenovirus serotype 5 vectors containing a shorter/shaft knob structure derived from adenovirus serotype 35 vectors (AdV5F35). Hyaluronan, a large polysaccharide found in extracellular matrix and intracellular and pericellular locations including vitreous, is at least partially responsible for this enhancement. Adenoviral transduction in Jurkat cells, a cell line that does not bind hyaluronan, is not enhanced by hyaluronan; however, when the cells are engineered to express the hyaluronan receptor CD44, enhancement of transgene expression in the presence of hyaluronan occurs. The enhancement of transgene expression in the presence of hyaluronan is independent of fiber/receptor interactions and occurs without increasing the number of viral particles bound to the cell. KM114, an antibody that blocks hyaluronan binding to murine CD44, prevents AdV5 transduction of murine epithelial (EpH4) cells in vitro. Pretreatment of murine conjunctiva with KM114 antibody but not an isotype-matched control antibody prevents AdV5 transduction of murine conjunctiva in vivo. Hyaluronan interaction with its receptor may provide a target for modulating adenoviral transduction or infection.
Optimization of Weighted Curvature for Image Segmentation (2010)

Minimization of boundary curvature is a classic regularization technique for image segmentation in the presence of noisy image data. Techniques for minimizing curvature have historically been derived from descent methods which could be trapped in a local minimum and therefore required a good initialization. Recently, combinatorial optimization techniques have been applied to the optimization of curvature which provide a solution that achieves nearly a global optimum. However, when applied to image segmentation these methods required a meaningful data term. Unfortunately, for many images, particularly medical images, it is difficult to find a meaningful data term. Therefore, we propose to remove the data term completely and instead weight the curvature locally, while still achieving a global optimum.
High‐Mobility Ambipolar Transport in Organic Light‐Emitting Transistors (2006)

Organic light-emitting transistors based on bilayered structures (see figure) exhibit balanced ambipolar transport and mobility values as large as 3 × 10–2 cm2 V–1 s–1. The best performances are realized by sequentially depositing α,ω-dihexyl-quaterthiophene (DH4T) as p-type and N,N′-ditridecylperylene-3,4,9,10-tetracarboxylic diimide (P13) as n-type materials. Laser-scanning confocal microscopy allows selective imaging of the layers.
Discovery and LC-MS Characterization of New Crocins in <i>Gardeniae Fructus</i> and Their Neuroprotective Potential (2016)

Ten new crocins, neocrocins B-J (1-9) and 13-cis-crocetin-8'-O-β-d-gentiobioside (14), along with 10 known crocins, were isolated from the fruits of Gardenia jasminoides Ellis (Gardeniae Fructus). The structures of these compounds were elucidated by analyzing HRESIMS, UV/vis, and 1D and 2D NMR spectra, and their neuroprotective effects against hydrogen peroxide- and l-glutamic acid-induced SH-SY5Y cell injury were evaluated. The UPLC-Q/TOF-MS chromatogram of a crocin-rich fraction derived from gardenia fruit extracts was established using the obtained crocin compounds as references. Most of the peaks were identified (the total integral area of the identified peaks accounted for 95% of total peak areas), and bioactive crocins were a large portion of this fraction (the areas of peaks from the neuroprotective compounds accounted for 70% of the total).
MicroRNAs as a potential prognostic factor in gastric cancer. (2010)

10635 Background: Preliminary data suggest that microRNAs may have a prognostic role in gastric cancer and may thereby improve our ability to individualize its treatment. We therefore compared the microRNA profiles in the primary tumor of 45 patients with recurrent (14) and non-recurrent gastric cancer (31) and evaluated their prognostic impact. Methods: Eligible patients underwent curative gastrectomies, without adjuvant therapy. Total RNA was extracted from formalin-fixed paraffin embedded tumor samples preserving the small RNA fraction. Initial profiling using microRNA microarrays identified potential microRNA biomarkers for recurrence, verified by qRT-PCR. Results: Signal levels of three microRNAs, miR-451, miR-199a-3p, and miR-195 were found to be differentially expressed in tumors from patients with good prognosis vs. patients with bad prognosis (p-value<0.0002, 0.0027 and 0.0046 respectively). High expression of each microRNA was associated with poorer prognosis for both recurrence and survival. Using miR-451, the positive predictive value for non-recurrence was 100% (13/13). The expression of differential miRs was verified by qRT-PCR, showing high correlation to microarrays and similar separation into prognosis groups. Conclusions: This study identified three microRNAs, miR-451, miR-199a-3p, and miR-195 to be predictive of recurrence. Of these, miR-451 had the strongest prognostic impact. Based on these results, a validation study is planned. Author Disclosure Employment or Leadership Position Consultant or Advisory Role Stock Ownership Honoraria Research Funding Expert Testimony Other Remuneration Rosetta Genomics Rosetta Genomics
[Detection of murine mammary tumor virus (MMTV) env gene-like sequences in breast cancer from Argentine patients]. (2002)

In the last years research on the possible viral etiology of human breast cancer has been revised. Previous studies have demonstrated the presence of a Mouse Mammary Tumor Virus (MMTV) env gene-like sequence in about 38% of breast cancers from American and Italian women; these sequences are generally absent in other tumors and in normal mammary tissue. In the present study we have analyzed the presence of a 250-bp sequence of the MMTV env gene in breast cancer biopsies from Argentine patients. The retroviral fragment was present in 31% (23/74) of the tumors, only in one normal mammary tissue and in none of the fibroadenomas analYzed. Peripheral blood mononuclear cells (PBMC) from 46 cancer patients were also analyzed; the sequence was found in 17% (2/12) of the PBMC from env positive tumor patients and in 3% (1/34) of the env negatives. The results from Argentine samples are similar to those from USA and Italy, where the breast cancer incidence is alike. These findings support the hypothesis of a viral agent involved in the genesis of this neoplasia and encourage the continuation of these studies.
Registration of ‘MSU E5024’ Wheat (2012)

‘MSU E5024’ (Reg. No. CV‐1077, PI 664078) soft white winter wheat ( Triticum aestivum L.) was developed by Michigan State University (MSU) AgBioResearch and released in 2011 via exclusive licensing agreements through MSU Technologies. In addition to researchers at MSU, USDA‐ARS researchers at the Soft Wheat Quality Laboratory (Wooster, OH) conducted quality evaluations during the development of MSU E5024. Deoxynivalenol testing was performed at the University of Minnesota, and molecular marker analyses were performed at the USDA‐ARS Regional Small Grains Genotyping Laboratory (Raleigh, NC). The objective of the cross was to create a high‐yielding soft white winter wheat cultivar adapted to Michigan and the surrounding region with good agronomic performance, acceptable quality, and good disease resistance. Soft white winter wheat is used in many wheat‐related industries and is a large portion of the wheat market in Michigan. MSU E5024 (experimental number E5024) is an F 7 –derived line developed using pedigree breeding. MSU E5024 exhibits a stable and high level of performance, including good yield, high test weight, resistance to powdery mildew [caused by Blumeria graminis (DC.) E.O. Speer], and improved resistance to Fusarium head blight (caused by Fusarium graminearum Schwabe) and preharvest sprouting. MSU E5024 is short, white chaffed, and awned. MSU E5024 is well adapted to Michigan and to Ontario, Canada).
Improving predictions using aggregate information (2011)

In domains such as consumer products or manufacturing amongst others, we have problems that warrant the prediction of a continuous target. Besides the usual set of explanatory attributes we may also have exact (or approximate) estimates of aggregated targets, which are the sums of disjoint sets of individual targets that we are trying to predict. Hence, the question now becomes can we use these aggregated targets, which are a coarser piece of information, to improve the quality of predictions of the individual targets? In this paper, we provide a simple yet provable way of accomplishing this. In particular, given predictions from any regression model of the target on the test data, we elucidate a provable method for improving these predictions in terms of mean squared error, given exact (or accurate enough) information of the aggregated targets. These estimates of the aggregated targets may be readily available or obtained -- through multilevel regression -- at different levels of granularity. Based on the proof of our method we suggest a criterion for choosing the appropriate level. Moreover, in addition to estimates of the aggregated targets, if we have exact (or approximate) estimates of the mean and variance of the target distribution, then based on our general strategy we provide an optimal way of incorporating this information so as to further improve the quality of predictions of the individual targets. We then validate the results and our claims by conducting experiments on synthetic and real industrial data obtained from diverse domains.