gebhart/patrepeval huggingface dataset:
Evolving femtocell coverage optimization algorithms using genetic programming (2009)

The use of a group of femtocells to jointly provide coverage in an enterprise environment introduces several challenges in the introduction of self-configuration and self-optimization capabilities required for plug-and-play styles of deployment. In this paper, an approach to automatically derive a distributed algorithm to dynamically optimize the coverage of a femtocell group using genetic programming is described. The resulting evolved algorithm showed the ability to optimize the coverage well, and is able to offer increased overall network capacity compared with a fixed coverage femtocell deployment.
Ratiometric mechanosensitive fluorescent dyes: design and applications (2016)

Fluorescent molecules, with their almost instantaneous response to external influences and relatively low-cost measurement instrumentation, have been attractive analytical tools and biosensors for centuries. More recently, advanced chemical synthesis and targeted design have accelerated the development of fluorescent probes. This article focuses on dyes with segmental mobility (known as fluorescent molecular rotors) that act as mechanosensors, which are known for their relationship of emission quantum yield with microviscosity. Fluorescence lifetime is directly related to quantum yield, but steady-state emission intensity is not. To remove confounding factors with steady-state instrumentation, dual-band emission dyes can be used, and molecular rotors have been developed that either have intrinsic dual emission or that have a non-sensitive reference unit to provide a calibration emission band. We report on theory, chemical structure, applications and targeted design of several classes of dual-emission molecular rotors.
HfO<sub>2</sub>-Based OxRAM Devices as Synapses for Convolutional Neural Networks (2015)

In this paper, the use of HfO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -based oxide-based resistive memory (OxRAM) devices operated in binary mode to implement synapses in a convolutional neural network (CNN) is studied. We employed an artificial synapse composed of multiple OxRAM cells connected in parallel, thereby providing synaptic efficacies. Electrical characterization results show that the proposed HfO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> -based OxRAM technology offers good electrical properties in terms of endurance (>10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">8</sup> cycles), speed (<;10 ns), and low energy (<;10 pJ), and thus being well suited for neuromorphic applications. A device physical model is developed in order to study the variability of the resistance as a function of the stochastic position of oxygen vacancies in 3-D. Finally, the proposed binary OxRAM synapse has been used for CNN system-level simulations. High accuracy (recognition rate > 98%) is demonstrated for a complex visual pattern recognition application. We demonstrated that the resistance variability and the reduced memory window of the OxRAM cells when operated at extremely low programming conditions (<;10 pJ per switching event) have a small impact on the performances of proposed OxRAM-based CNN (recognition rate 94%).
The Hepatic Asialoglycoprotein Recepto (1984)

Asialo- (i.e., galactose-terminal) glycoproteins are specifically and avidly recognized by a mammalian hepatic parenchymal cell receptor. This receptor, itself a glycoprotein, binds ligand molecules and directs their delivery to lysosomes for catabolism. The receptor is reutilized during this process of receptor-mediated endocytosis. Ligand specificity is conferred by galactose or N-acetyl-galactosamine at the nonreducing termini of the oligosaccharide chains. The receptor appears to be a transmembrane protein and is localized both to the cell surface as well as to several membranous intracellular compartments.
High-performance mid-infrared quantum dot infrared photodetectors (2005)

Quantum dot infrared photodetectors (QDIPs) have emerged as attractive devices for sensing long wavelength radiation. Their principle of operation is based on intersublevel transitions in quantum dots (QDs). Three-dimensional quantum confinement offers the advantages of normal incidence operation, low dark currents and high-temperature operation. The performance characteristics of mid-infrared devices with three kinds of novel heterostructures in the active region are described here. These are a device with upto 70 QD layers, a device with a superlattice in the active region, and a tunnel QDIP. Low dark currents (1.59 A cm−2 at 300 K), large responsivity (2.5 A W−1 at 78 K) and large specific detectivity (1011 cm Hz1/2 W−1 at 100 K) are measured in these devices. It is evident that QDIPs will find application in the design of high-temperature focal plane arrays. Imaging with small QD detector arrays using the raster scanning technique is also demonstrated.
Prevention of carcinogenesis and inhibition of breast cancer tumor burden by dietary stearate (2011)

Previous studies have shown that stearate (C18:0), a dietary long-chain saturated fatty acid, inhibits breast cancer cell neoplastic progression; however, little is known about the mechanism modulating these processes. We demonstrate that stearate, at physiological concentrations, inhibits cell cycle progression in human breast cancer cells at both the G(1) and G(2) phases. Stearate also increases cell cycle inhibitor p21(CIP1/WAF1) and p27(KIP1) levels and concomitantly decreases cyclin-dependent kinase 2 (Cdk2) phosphorylation. Our data also show that stearate induces Ras- guanosine triphosphate formation and causes increased phosphorylation of extracellular signal-regulated kinase (pERK). The MEK1 inhibitor, PD98059, reversed stearate-induced p21(CIP1/WAF1) upregulation, but only partially restored stearate-induced dephosphorylation of Cdk2. The Ras/mitogen-activated protein kinase/ERK pathway has been linked to cell cycle regulation but generally in a positive way. Interestingly, we found that stearate inhibits both Rho activation and expression in vitro. In addition, constitutively active RhoC reversed stearate-induced upregulation of p27(KIP1), providing further evidence of Rho involvement. To test the effect of stearate in vivo, we used the N-Nitroso-N-methylurea rat breast cancer carcinogen model. We found that dietary stearate reduces the incidence of carcinogen-induced mammary cancer and reduces tumor burden. Importantly, mammary tumor cells from rats on a stearate diet had reduced expression of RhoA and B as well as total Rho compared with a low-fat diet. Overall, these data indicate that stearate inhibits breast cancer cell proliferation by inhibiting key check points in the cell cycle as well as Rho expression in vitro and in vivo and inhibits tumor burden and carcinogen-induced mammary cancer in vivo.
GEOPLEX: Control and Analysis of GSSA and VSS Models (2004)

Two studies about a full-bridge boost rectifier are reported in this deliverable. In the first one the converter is analysed in the frame of Variable Structure Systems and Sliding Mode. In the section 2 of the deliverable, the converter is analyzed in the frame of PCHS and controlled using IDA-PBC. The later includes experimental results.
The results reported here for both approaches can be generalized to several plants. The particularization to the full-bridge boost rectifier is natural, as this converter is supposed to be used in the flywheel system to feed the rotor of the DFIM.
Section 1 studies the dynamics of a single-phase unity power factor full-bridge boost converter circuit and develops a nonlinear controller for the regulation of its output DC voltage, which keeps the input power factor close to unit. The controller has a two loop structure: the inner as a fast dynamic response loop with a sliding controller shaping the inductor input current of the converter, and the outer is a linear controlled slow dynamic response loop that regulates the output DC voltage. The squared value of the DC voltage is passed through a LTI notch filter to eliminate its ripple before using in the outer control loop. This filter, consequently, allows one to expand the bandwidth of the loop and improves its dynamic response.
An Interconnection and Damping Assignment Passivity Based Control (IDA-PBC) for a full bridge rectifier is presented in Section 2. The closed loop system performance fulfils unity power factor in the AC mains and output DC voltage regulation. The controller design takes advantage of the Generalized State Space Averaging (GSSA) modelling technique to convert the quoted non-standard problem (in actual variables) into a standard regulation one (in GSSA variables). In this approach, the output current is the measured signal instead of the line current; therefore, the number of sensors does not increase in comparison with traditional approaches. The whole system is robust with respect to load variations.
Product inhibition of carboxypeptidase H. (1987)

Carboxypeptidase H is one of several enzymes required for the processing of peptide hormone precursors. In this study, inhibition of carboxypeptidase H by its peptide products was investigated. Carboxypeptidase H activity in bovine adrenal medulla chromaffin granules and rat adrenal medulla homogenate was inhibited by the peptides Met- and Leu-enkephalin, vasopressin, oxytocin, luteinizing hormone-releasing hormone, substance P, and thyrotropin-releasing hormone, with oxytocin and ACTH 1-14 having the least effect, at concentrations of 2-20 mM. Inhibition by amidated peptide products (vasopressin, oxytocin, luteinizing hormone-releasing hormone, substance P, and thyrotropin-releasing hormone) show that the final products of the precursor processing pathway can regulate carboxypeptidase H. These levels of peptides are similar to known intragranular peptide concentrations indicating that product and feedback inhibition of carboxypeptidase H may play a role in the control of neuropeptide synthesis. The proenkephalin-derived peptides Met-enkephalin, Leu-enkephalin, Met-enkephalin-Arg6-Gly7-Leu8, and Met-enkephalin-Arg6-Phe7 competitively inhibited bovine and rat carboxypeptidase H with Ki values of 12.0, 6.5, 7.0, and 5.5 mM, respectively. The significantly greater Ki for Met-enkephalin may reflect the effects of higher intragranular concentration of Met-enkephalin, since one proenkephalin molecule contains four copies of Met-enkephalin and only one copy of each of the other enkephalin peptides. Thus, the products from one multivalent precursor molecule may equivalently inhibit carboxypeptidase H activity. Product inhibition of carboxypeptidase H and perhaps other processing enzymes may serve to limit the maximum peptide concentration within the secretory vesicle.
GaN avalanche photodiodes (2000)

We report the electrical and optical characteristics of avalanche photodiodes fabricated in GaN grown by metalorganic chemical vapor deposition. The current–voltage characteristics indicate a multiplication of &gt;25. Experiment indicates and simulation verifies that the magnitude of the electric field at the onset of avalanche gain is ⩾3 MV/cm. Small-area devices exhibit stable gain with no evidence of microplasmas.
A Novel Binding Factor Facilitates Nuclear Translocation and Transcriptional Activation Function of the Pituitary Tumor-transforming Gene Product (2000)

Pituitary tumor-transforming gene (PTTG) is a recently characterized oncogene whose expression product contains a transcriptional activation domain at the C terminus. To understand the mechanisms involved in PTTG biological functions, we used yeast two-hybrid screening to identify proteins that interact with PTTG. This study reports the isolation and characterization of a novel PTTG-binding factor (PBF). PBF contains an open reading frame of 179 amino acids with a predicted molecular mass of 22 kDa. In Northern blot analyses, PBF mRNA was ubiquitously expressed in human tissues. Glutathione S-transferase pull-down and co-immunoprecipitation assays demonstrate that PBF interacts specifically with PTTG under both in vitro and in vivo conditions. The PTTG binding domain in PBF was located within the C-terminal 30-amino acid region that contain a nuclear localization signal. Immunofluorescence and subcellular fractionation studies showed that PTTG is predominantly expressed in the cytoplasm with partial nuclear localization, whereas PBF is localized both in the cytoplasm and the nucleus. The interaction between PBF and PTTG facilitated PTTG translocation from the cytoplasm to the nucleus. Furthermore, PBF is required for transcriptional activation of basic fibroblast growth factor by PTTG. In summary, we have characterized a novel PTTG-binding protein that facilitates PTTG nuclear translocation and potentiates its transcriptional activation function.
Práctica de meditación por alumnos de primaria y secundaria en Perú: un estudio confirmatorio de salud y desempeño escolar (2021)

Schools in Perú have not typically been the sites of research on meditation or its possible role in student health or primary and secondary education outcomes. This retrospective observational study seeks to begin redressing this evidentiary shortfall by confirming results from an earlier, smaller-scale study of 91 students in Huay-Huay, with a specific focus on the practice of Transcendental Meditation at Peruvian schools, some in remote locations with indigenous students. Five hundred and twenty primary and secondary students at four schools in Lima, Cusco, Puno, and Ventanilla were asked to rate their experience of meditation and its relation to four factors using a paper-and-pencil questionnaire: physical health; cognitive health; emotional health; and school performance. An average of 66% of students agreed they had benefited from practice of Transcendental Meditation in each area of health and school performance, and regularity of practice was a moderate predicator of higher scores on each variable. These quantitative findings are suggestive of a role to be played by the addition of Transcendental Meditation to primary and secondary school curricula in Perú.
Comments on IEEE 802.11 saturation throughput analysis with freezing of backoff counters (2005)

This letter presents an accurate model for the performance analysis of the IEEE 802.11 saturation throughput with freezing of the backoff counter. The model corrects the existing model presented by Ziouva and Antonakopoulos which assumes that the channel access probability and station collision probability are independent of channel status. Simulation results show the accuracy of the new model.
The Dot/Icm Type IV Secretion System of <i>Legionella pneumophila</i> Is Essential for the Induction of Apoptosis in Human Macrophages (2002)

We have previously shown that Legionella pneumophila induces caspase 3-dependent apoptosis in mammalian cells during early stages of infection. In this report, we show that nine L. pneumophila strains with mutations in the dotA, dotDCB, icmT, icmGCD, and icmJB loci are completely defective in the induction of apoptosis, in addition to their severe defects in intracellular replication and pore formation-mediated cytotoxicity. Importantly, all nine dot/icm mutants were complemented for all their defective phenotypes with the respective wild-type loci. We show that the role of the Dot/Icm type IV secretion system in the induction of apoptosis is independent of the RtxA toxin, the dot/icm-regulated pore-forming toxin, and the type II secretion system. However, the pore-forming toxin, which is triggered upon entry into the postexponential growth phase, enhances the ability of L. pneumophila to induce apoptosis. Our data provide the first example of the role of a type IV secretion system of a bacterial pathogen in the induction of apoptosis in the host cell.
Scheduler for Inhomogeneous and Irregular CGRAs with Support for Complex Control Flow (2016)

Coarse Grained Reconfigurable Arrays (CGRA) are more area and energy efficient compared to FPGAs, if we consider applications that are dominated by arithmetical operations. Enabling the user to employ CGRAs requires tools to create suitable CGRA instances and to program them on a high abstraction level. In this contribution we briefly explain a CGRA architecture generator and we focus on the scheduler that programs the generated CGRAs. This scheduler is able to work on in homogeneous (concerning the operations in the processing elements) and irregular (concerning the connections between processing elements) compositions. Additionally, the scheduler is able to map complex control flow onto the CGRA, which means nested loops, even containing control flow in the loop body. This significantly increases the mappability of application kernels.
Inhibition of pollen germination by volatile compounds including 2-hexenal and 3-hexenal (1991)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTInhibition of pollen germination by volatile compounds including 2-hexenal and 3-hexenalThomas R. Hamilton-Kemp, John H. Loughrin, Douglas D. Archbold, Roger A. Andersen, and David F. HildebrandCite this: J. Agric. Food Chem. 1991, 39, 5, 952–956Publication Date (Print):May 1, 1991Publication History Published online1 May 2002Published inissue 1 May 1991https://pubs.acs.org/doi/10.1021/jf00005a031https://doi.org/10.1021/jf00005a031research-articleACS PublicationsRequest reuse permissionsArticle Views146Altmetric-Citations16LEARN 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
Mononuclear heterocyclic rearrangements. Part 4 Synthesis and characterization of the <i>E</i>‐isomer phenylhydrazone of 3‐benzoyl‐5‐phenyl‐1,2,4‐oxadiazole (1980)

Abstract 3‐Benzoyl‐5‐phenyl‐1,2,4‐oxadiazole (I) with phenylhydrazine in acetic acid gives the two geometrical isomers, phenylhydrazones II‐Z and II‐ E , which have been characterized by uv‐visible, ir, and nmr spectra. The possible II‐ E ⇌ II‐ Z isomerization as well as the rearrangement of II‐ Z and of II‐ E into 2,5‐diphenyl‐4‐benzoylamino‐1,2,3‐triazole (III) has been pointed out.
Synthesis of 1,1-Dioxobenzo[b]thiophene-2-ylmethyloxycarbonyl (Bsmoc) Protected N-Methyl Amino Acids by Reduction of Bsmoc-5-Oxazolidinones and Their Use in Peptide Synthesis (2009)

The synthesis of Bsmoc-N-methyl amino acids is presented. The first step involves p-toluenesulfonic acid (TsOH) catalysed condensation of a Bsmoc-amino acid with paraformaldehyde to furnish N-Bsmoc-5-oxazolidinone under MW irradiation. This intermediate is reduced to the corresponding N-methyl amino acid using triethylsilane (Et3SiH) and trifluoroacetic acid (TFA) at r.t. The N-methyl amino acids are converted into corresponding acid fluorides using diethylaminosulfur trifluoride (DAST) and employed as coupling agents in the synthesis of dipeptides. The peptide coupling was mediated by KOAt in CH2Cl2.
Biosystems Design by Machine Learning (2020)

Biosystems such as enzymes, pathways, and whole cells have been increasingly explored for biotechnological applications. However, the intricate connectivity and resulting complexity of biosystems poses a major hurdle in designing biosystems with desirable features. As -omics and other high throughput technologies have been rapidly developed, the promise of applying machine learning (ML) techniques in biosystems design has started to become a reality. ML models enable the identification of patterns within complicated biological data across multiple scales of analysis and can augment biosystems design applications by predicting new candidates for optimized performance. ML is being used at every stage of biosystems design to help find nonobvious engineering solutions with fewer design iterations. In this review, we first describe commonly used models and modeling paradigms within ML. We then discuss some applications of these models that have already shown success in biotechnological applications. Moreover, we discuss successful applications at all scales of biosystems design, including nucleic acids, genetic circuits, proteins, pathways, genomes, and bioprocesses. Finally, we discuss some limitations of these methods and potential solutions as well as prospects of the combination of ML and biosystems design.
Metal Counter Electrodes for Perovskite Solar Cells (2018)

With perovskite solar cells (PSCs) reaching efficiencies comparable to or above crystalline silicon and thin film solar cells, initially sidelined topics such as the choice of counter electrodes are now receiving growing attention. For PSCs to reach the status of a mature photovoltaic technology, the most significant hurdle of long-term device stability must be overcome. The top electrode, traditionally a metal film, has recently been identified as a key factor for device and performance degradation. This chapter aims to provide an extensive overview of commonly employed metal electrodes for PSCs, summarize significant research findings, and provide an inspirational platform for future advancements in device performance and long-term stability, which may pave the road for the successful commercialization of the technology.
Two‐Focus Fluorescence Correlation Spectroscopy: A New Tool for Accurate and Absolute Diffusion Measurements (2007)

We present a new method to measure absolute diffusion coefficients at nanomolar concentrations with high precision. Based on a modified fluorescence correlation spectroscopy (FCS)-setup, this method is improved by introducing an external ruler for measuring the diffusion time by generating two laterally shifted and overlapping laser foci at a fixed and known distance. Data fitting is facilitated by a new two-parameter model to describe the molecule detection function (MDF). We present a recorded MDF and show the excellent agreement with the fitting model. We measure the diffusion coefficient of the red fluorescent dye Atto655 under various conditions and compare these values with a value achieved by gradient pulsed field NMR (GPF NMR). From these measurements we conclude, that the new measurement scheme is robust against optical and photophysical artefacts which are inherent to standard FCS. With two-focus-FCS, the diffusion coefficient of 4.26 x 10(-6) cm2s(-1) for Atto655 in water at 25 degrees C compares well with the GPF NMR value of 4.28 x 10(-6) cm2s(-1).