gebhart/patrepeval huggingface dataset:
Optimized scheduling for data aggregation in wireless sensor networks (2005)

The most important issue in wireless sensor networks is energy consumption. To this end, many networking schemes attempt to minimize the amount of data transmitted by using data aggregation. This trades off data freshness for a savings in energy, because reports from sensor nodes that arrive at an aggregating node may have to be held there for some period of time before being reported so that additional reports may reach the aggregator from slower nodes. We propose to use an intelligent timer and some high-level knowledge of the network to implement an efficient aggregation timing control protocol. Our protocol aims to dynamically change the data aggregation period according to the aggregation quality. A request from the data sink will include the maximum latency for a certain number of reports. If this number of reports can be returned in less time than the maximum, then the maximum time will not be reached. If, however, the specified number of responses can be returned in anywhere between zero-time (instantaneous) and the maximum latency, the timing scheme will find the minimum aggregation period that satisfies the sink's request.
Calpain Methods and Protocols (2000)

In Calpain Methods and Protocols, John S. Elce and a seasoned team of principal investigators present a set of proven and easily followed protocols for studying calpain. The methods include in vitro techniques for the detection, expression, purification, and assay of µ- and m-calpain, supplemented with a wide range of system and tissue models for studying both the physiological functions and the effects of inhibitors on calpain. The systems used include neural tissue, kidney, liver, the eye, and membrane fusion in muscle and erythrocytes, each in connection with hypoxia or other injury. Among the analytical techniques employed are casein zymography, immunofluorescence, and calpain activity assays. The authors also examine specific substrates that have been proposed for the calpains. Highly practical and readily repeatable, Calpain Methods and Protocols offers investigators involved in basic and clinically oriented calpain research a gold-standard collection of powerful experimental tools for discovering the nature and function of calpains
Chemistry of heterocyclic compounds. 61. Synthesis and conformational studies of macrocycles possessing 1,8- or 1,5-naphthyridino subunits connected by carbon-oxygen bridges (1981)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTChemistry of heterocyclic compounds. 61. Synthesis and conformational studies of macrocycles possessing 1,8- or 1,5-naphthyridino subunits connected by carbon-oxygen bridgesGeorge R. Newkome, Sam J. Garbis, Veronica K. Majestic, Frank R. Fronczek, and Giacomo ChiariCite this: J. Org. Chem. 1981, 46, 5, 833–839Publication Date (Print):February 1, 1981Publication History Published online1 May 2002Published inissue 1 February 1981https://pubs.acs.org/doi/10.1021/jo00318a001https://doi.org/10.1021/jo00318a001research-articleACS PublicationsRequest reuse permissionsArticle Views4335Altmetric-Citations106LEARN 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-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts
ELECTRIC & HYBRID CARS (2006)

ufacturers, betting on this trend accelerating in the coming years, are rushing to bring HEVs to their dealers’ showrooms. The evolution of HEVs to allow charging from the electric grid—so called plug-in hybrids (PHEV)—is assumed by many to be desirable, even inevitable. Indeed, a growing movement to bring PHEVs to market has emerged, bolstered by the undeniable economic and national-security benefits that result from displacing gasoline with electricity. One highly visible grassroots campaign called Plug-In Partners seeks to demonstrate to the major automobile manufacturers that a national market exists for flexible-fuel PHEVs; dozens of businesses, utilities, municipal governments, and environmental groups have joined the Plug-In Partners campaign. While there are no commercially available PHEVs on the market, a number of prototypes have been built and tested. The most established PHEV program is housed at the University of California Davis, where Professor Andrew Frank works with students designing and building prototype PHEVs. A second development project involves collaboration between the Electric Power Research Institute (EPRI) and DaimlerChrysler. They produced, and are in the process of testing, several prototype plug-in hybrid vans using the Sprinter platform. ( Editor’s Note: Tesla Motors recently introduced an all-electric vehicle. See sidebar, p. 34.) Two startup firms plan to offer conversion kits for current generation hybrid electric vehicles to allow grid charging of the on-board battery pack. These conversions kits offer the potential to almost double an HEV’s fuel efficiency rating to 100+ miles per gallon by increasing the size of the battery storage system and installing the hardware and controls to allow
Cloud computing for big data analytics in the Process Control Industry (2017)

The aim of this article is to present an example of a novel cloud computing infrastructure for big data analytics in the Process Control Industry. Latest innovations in the field of Process Analyzer Techniques (PAT), big data and wireless technologies have created a new environment in which almost all stages of the industrial process can be recorded and utilized, not only for safety, but also for real time optimization. Based on analysis of historical sensor data, machine learning based optimization models can be developed and deployed in real time closed control loops. However, still the local implementation of those systems requires a huge investment in hardware and software, as a direct result of the big data nature of sensors data being recorded continuously. The current technological advancements in cloud computing for big data processing, open new opportunities for the industry, while acting as an enabler for a significant reduction in costs, making the technology available to plants of all sizes. The main contribution of this article stems from the presentation for a fist time ever of a pilot cloud based architecture for the application of a data driven modeling and optimal control configuration for the field of Process Control. As it will be presented, these developments have been carried in close relationship with the process industry and pave a way for a generalized application of the cloud based approaches, towards the future of Industry 4.0.
Analyses of the methanolic extract of the leaves of Rhinacanthus nasutus. (2010)

Medicinal plants are sources of important therapeutic aids for alleviating human ailments. Medicinal herbs are known to contain a variety of antioxidants. Herbal medicine is the use of medicinal plants for the prevention and treatment of diseases, it ranges from traditional and popular medicines of every country to the use of standardized herbal extracts. In tune with this effort, the objective set for the present study is to identify the phytochemical constituents of the leaves ofRhinacanthus nasutus in order to understand the nature of the principle component responsible for its medicinal property. A preliminary absorbance survey scan of the methanolic extract of R. nasutus evidenced the presence of multiple components in the extract. Two peaks observed in the HPLC spectrum showed the presence of two compounds in the extract. GCMS profile revealed that the active components present in the leaf extract might be alkaloids or polyphenols. The results of IR spectrum revealed that band 1 possess compounds of polyphenolic nature and band 2 possesses compounds that are having a hydroxyl and a carbonyl groups. Some more studies need to be conducted to confirm the presence of bioactive component responsible for its therapeutic value.

	 

	Key words: Rhinacanthus nasutus, alkaloids, polyphenols, antioxidants, HPLC, GC-MS, IR spectrum.
Highly Luminescent Water-Soluble InP/ZnS Nanocrystals Prepared via Reactive Phase Transfer and Photochemical Processing (2008)

Highly luminescent water-soluble InP/ZnS core−shell nanocrystals were prepared using a newly developed method that incorporates reactive phase transfer and photochemical processing. Poor-emitting InP nanocrystals (NCs, 2−4 nm) prepared solvothermally using toluene were transferred into alkaline aqueous solution containing thiol and zinc ions. When these NCs in aqueous solution were subsequently irradiated by ultraviolet (UV) light, they showed intense size-dependent photoluminescence (PL) from green to red due to the formation of a thick (more than 1 nm) ZnS shell on the NCs. The surface dissolution of the NCs, under conditions in which bulk InP does not dissolve due to its covalent bond nature, was observed at two steps: phase transfer and shell formation. This dissolution competed with the formation of the ZnS layer at the start of UV irradiation. Since the UV irradiation enables creation of a thick shell by optimizing the synthesizing conditions, high PL efficiency (30−68%) was obtained in water with sufficient stability. This was quantitatively explained by quantum mechanical calculations. The PL decay behavior of these water-soluble InP/ZnS NCs did not show obvious size-dependence, unlike HF-treated ones. This is attributed to the well-passivated surface states of the NCs due to their thick ZnS shell. The NCs showed a significantly higher In/P ratio than those previously reported. This indicates that In ions were preferentially located on the surface of the InP core in the NCs.
pH dependence of micellar diffusion and dissociation (1980)

A simplified model system was used to examine the effect of pH on the diffusion and dissociation of mixed micelles across an interphase. Diffusion of radioactively labeled taurocholate and oleic acid from a micellar solution into a phosphate buffer of varying pH (5.0-8.0) was measured. The proportion of bile salt and fatty acid as monomers and aggregates in both solutions was determined by ultrafiltration. Results indicate that all of the oleic acid existed as aggregates in the micellar solution, whereas taurocholate was in equilibrium between aggregate and monomer forms. Between pH 5.0 and 7.0, oleic acid and taurocholate diffusion was inversely related to pH and due to the differences in aggregate but not monomer diffusion. Fatty acid diffusion across the interface was always less than taurocholate diffusion, because taurocholate monomers could also diffuse across the interphase. Calculation of the proportion of taurocholate diffusion from aggregate and monomers based on micellar composition was similar to measured values at pH greater than or equal to 6.5, indicating a lack of micelle dissociation. However, at pH less than or equal to 6 measured values for bile salt monomers exceeded calculations, indicating that a low pH microclimate favors dissociation of micelles. A hypothesis is advanced to explain these events occurring in a disequilibrium area adjacent to the epithelial cell membrane.
Low temperature amorphous and nanocrystalline silicon technology for flat panel displays (2000)

This chapter looks at low temperature amorphous and nanocrystalline silicon technology for flat panel displays
Optimizing model checking based on bdd characterization (1999)

Symbolic model checking has been successfully applied in verification of various finite state systems, ranging from hardware circuits to software protocols. A core technology underlying this success is the Binary Decision Diagram (BDD) representation. Given the importance of BDDs in model checking, it is surprising that there has been little or no work on studying BDD computations in the context of model checking. As a result, the computational aspects of BDDs are not well understood and many BDD-based algorithms tend to be unstable in terms of performance. This thesis addresses the performance instability issue both by developing a general evaluation methodology for studying BDD computations and by proposing new BDD-based optimizations to stabilize and to improve the overall performance. The evaluation methodology consists of two parts: (1) a set of evaluation metrics characterizing key components of BDD computations, and (2) a trace-based evaluation platform for generating realistic ...
Real-Time Multiple Face Recognition using Deep Learning on Embedded GPU System (2018)

Face recognition can be used in several applications such as in surveillance, identification in login system and personalized technology. Recognizing multiple face in realtime on the embedded system is very challenging due to the complexity computation of the processing. In this paper, we propose multiple face recognition framework which is implemented on the embedded GPU system. The framework contains face detection based on convolutional neural network (CNN) with face tracking and state of the art deep CNN face recognition algorithm. We implemented the proposed framework into the embedded GPU system, i.e., NVIDIA Jetson TX2 board. Experimental results showed that the proposed system can recognize multiple faces up to 8 faces at the same time in real time with up to 0.23 seconds of processing time and with the minimum recognition rate above 83.67%.
Deletion and insertion mutants in the structural gene for ribosomal protein S1 from Escherichia coli. (1986)

Mutants have been constructed by deleting regions of the gene rpsA for ribosomal protein S1, which had been cloned in plasmid pACYC184. The mutant genes were analyzed for their ability to complement an S1 amber mutant containing a temperature-sensitive suppressor. Another series of mutants was constructed using the tac promoter plasmid pKK223-3, and the effect of the mutant proteins was analyzed in a strain wild type for rpsA. The gene products of all mutants were identified by the immunoblotting technique. Plasmids with a mutant rpsA gene which do not or only poorly complement the S1 amber mutation cause drastic growth reduction, whereas the overall protein synthesis is affected to different extents depending on the site of the deletion. Mutants which express S1 fragments comprising at least the NH2-terminal 100 amino acids stimulate or inhibit the synthesis of certain cellular proteins. The amount of chromosomal coded S1 was reduced by each mutant plasmid. Our data suggest that S1 has a general regulatory role during protein biosynthesis.
Finding context paths for Web pages (1999)

Article Finding context paths for Web pages Share on Authors: Yoshiaki Mizuuchi Department of Computer and Systems Engineering, Kobe University, Nada, Kobe 657-8501, Japan Department of Computer and Systems Engineering, Kobe University, Nada, Kobe 657-8501, JapanView Profile , Keishi Tajima Department of Computer and Systems Engineering, Kobe University, Nada, Kobe 657-8501, Japan Department of Computer and Systems Engineering, Kobe University, Nada, Kobe 657-8501, JapanView Profile Authors Info & Claims HYPERTEXT '99: Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse rootsFebruary 1999 Pages 13–22https://doi.org/10.1145/294469.294474Online:01 February 1999Publication History 20citation500DownloadsMetricsTotal Citations20Total Downloads500Last 12 Months3Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
HLA typing in a Kenyan cohort identifies novel class I alleles that restrict cytotoxic T-cell responses to local HIV-1 clades (2002)

Multi-epitope vaccine design requires knowledge of HLA class I distribution and HIV CTL epitope characterization in potential target populations. The description of two novel HLA class I alleles at high frequency in this high risk Kenyan CSW cohort suggests that HLA mapping of vaccine cohorts and subsequent characterization of local CTL epitopes will be warranted prior to vaccine trials.
Salvage chemotherapy with paclitaxel for recurrent oligodendrogliomas. (1997)

Paclitaxel demonstrated modest efficacy with minimal toxicity in this pretreated cohort of adult patients with recurrent hemispheric oligodendrogliomas.
Monoclonal Antibodies as Neurological Therapeutics (2021)

Over the last 30 years the role of monoclonal antibodies in therapeutics has increased enormously, revolutionizing treatment in most medical specialties, including neurology. Monoclonal antibodies are key therapeutic agents for several neurological conditions with diverse pathophysiological mechanisms, including multiple sclerosis, migraines and neuromuscular disease. In addition, a great number of monoclonal antibodies against several targets are being investigated for many more neurological diseases, which reflects our advances in understanding the pathogenesis of these diseases. Untangling the molecular mechanisms of disease allows monoclonal antibodies to block disease pathways accurately and efficiently with exceptional target specificity, minimizing non-specific effects. On the other hand, accumulating experience shows that monoclonal antibodies may carry class-specific and target-associated risks. This article provides an overview of different types of monoclonal antibodies and their characteristics and reviews monoclonal antibodies currently in use or under development for neurological disease.
<scp>X</scp>. Yeast sequencing reports. Sequence and function analysis of a 9·46 kb fragment of <i>Saccharomyces cerevisiae</i> chromosome X (1994)

In the framework of the European yeast genome sequencing project, we have determined the nucleotide sequence of the cosmid clone 233 provided by F. Galibert (Rennes Cedex, France). We present here 9464 base pairs of this cosmid located on the left arm of Saccharomyces cerevisiae chromosome X. This sequence contains two new open reading frames and includes the published sequences of the RADH gene (also identified as SRS2/HPR5) and the 3'-end of the gene BCK1/SLK1/SSP31. Deletion mutants of the two unknown genes J0909 and J0911 are viable.
Optimization of Deep Drilling Performance: Benchmark Testing Drives ROP Improvements for Bits and Drilling Fluids (2007)

Abstract A critical cost in future deep oil and gas recovery is the cost to drill a well. This cost is dominated by the rate of penetration (ROP) that becomes increasingly important with increasing depth. Improving the technology of drilling and increasing the ROP will lower the cost to drill a well. This improves the economics of deep exploration and development, potentially increasing drilling activity, increasing production and supply, lowering the cost to the consumer and improving the economy. Industry partners and the U.S. Department of Energy (DOE) successfully completed benchmark testing of advanced diamond bits and high pressure/high temperature (HP/HT) drilling fluids at high pressures. The paper describes the results of this testing and identifies factors limiting ROP performance at great depth, and the development of drilling fluid systems and bit design philosophy to significantly improve drilling performance. Benchmark results match very well with data from target field applications. This project is part of the DOE Deep Trek program. Sixteen full-scale tests of 6 inch bits were conducted at wellbore pressures greater than 10,000 psi. Results from high-pressure tests with water and base oil showed very high ROPs are possible before mudding up. When drilling through hard sandstone penetration rates can drop 70 to 80% on switching to a weighted mud. These data emphasize the importance of mud technology in high-pressure applications. Performance of polycrystalline diamond compact (PDC) bits showed in many cases substantial improvements over roller cone insert bits. Cuttings from Carthage marble and Mancos shale appear to be compressed agglomerates of fine particles and Carthage marble cuttings had low compressive strengths. The study has concluded that opportunities for improvements in both bit design and smart HP/HT drilling fluids are possible. While rock properties change continuously with pressure the cutting mechanisms at great depths change much more dramatically. Changes in bit design and mud composition, using next generation technology, will be evaluated in Phase II testing. The significance of improved ROP for deep oil and gas plays include opportunities to reduce well costs and improve the economics of deep exploration and development plays. The net result for operators is cost reduction as well as an improved position on reserves.
Thatching: A Handbook (1988)

A guide to good-quality thatching, describing in words and pictures how to achieve the maximum possible roof-life using either cultivated or naturally-occurring materials. Reviews the advantages and limitations of thatch as a roofing technique.
A smooth muscle-specific monoclonal antibody recognizes smooth muscle actin isozymes. (1985)

Injection of chicken gizzard actin into BALB/c mice resulted in the isolation of a smooth muscle-specific monoclonal antibody designated CGA7. When assayed on methanol-Carnoy's fixed, paraffin-embedded tissue, it bound to smooth muscle cells and myoepithelial cells, but failed to decorate striated muscle, endothelium, connective tissue, epithelium, or nerve. CGA7 recognized microfilament bundles in early passage cultures of rat aortic smooth muscle cells and human leiomyosarcoma cells but did not react with human fibroblasts. In Western blot experiments, CGA7 detected actin from chicken gizzard and monkey ileum, but not skeletal muscle or fibroblast actin. Immunoblots performed on two-dimensional gels demonstrated that CGA7 recognizes gamma-actin from chicken gizzard and alpha- and gamma-actin from rat colon muscularis. This antibody was an excellent tissue-specific smooth muscle marker.
Systematic Construction of Anomaly Detection Benchmarks from Real Data (2015)

Research in anomaly detection suffers from a lack of realis-tic and publicly-available problem sets. This paper discusses what properties such problem sets should possess. It then introduces a methodology for transforming existing classi-fication data sets into ground-truthed benchmark data sets for anomaly detection. The methodology produces data sets that vary along three important dimensions: (a) point diffi-culty, (b) relative frequency of anomalies, and (c) clustered-ness. We apply our generated datasets to benchmark several popular anomaly detection algorithms under a range of dif-ferent conditions. 1.