gebhart/patrepeval huggingface dataset:
AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments (2021)

Serverless computing has emerged as a compelling new paradigm of cloud computing models in recent years. It promises the user services at large scale and low cost while eliminating the need for infrastructure management. On cloud provider side, flexible resource management is required to meet fluctuating demand. It can be enabled through automated provisioning and deprovisioning of resources. A common approach among both commercial and open source serverless computing platforms is workload-based auto-scaling, where a designated algorithm scales instances according to the number of incoming requests. In the recently evolving serverless framework Knative a request-based policy is proposed, where the algorithm scales resources by a configured maximum number of requests that can be processed in parallel per instance, the so-called concurrency. As we show in a baseline experiment, this predefined concurrency level can strongly influence the performance of a serverless application. However, identifying the concurrency configuration that yields the highest possible quality of service is a challenging task due to various factors, e.g. varying workload and complex infrastructure characteristics, influencing throughput and latency. While there has been considerable research into intelligent techniques for optimizing auto-scaling for virtual machine provisioning, this topic has not yet been discussed in the area of serverless computing. For this reason, we investigate the applicability of a reinforcement learning approach to request-based auto-scaling in a serverless framework. Our results show that within a limited number of iterations our proposed model learns an effective scaling policy per workload, improving the performance compared to the default auto-scaling configuration.
Nimodipine does not improve neurologic outcome after 14 minutes of cardiac arrest in cats. (1989)

We tested the effects of nimodipine upon neurologic outcome in 31 cats subjected to 14 minutes of cardiac arrest followed by resuscitation. With the dose schedule used, nimodipine had no effect upon neurologic outcome or upon the percentage of ischemic neurons in frontal, hippocampal, occipital, or cerebellar brain sections. The electroencephalographic recovery pattern did not correlate with neurologic or pathologic findings.
Function and regulation of expression of pulmonary surfactant-associated proteins (1991)

Research Article| January 15 1991 Function and regulation of expression of pulmonary surfactant-associated proteins T E Weaver; T E Weaver 1Divisions of Pulmonary Biology and Neonatology, Department of Pediatrics, University of Cincinnati College of Medicine, 231 Bethesda Avenue, Cincinnati, OH 45267-0541, U.S.A. Search for other works by this author on: This Site PubMed Google Scholar J A Whitsett J A Whitsett 1Divisions of Pulmonary Biology and Neonatology, Department of Pediatrics, University of Cincinnati College of Medicine, 231 Bethesda Avenue, Cincinnati, OH 45267-0541, U.S.A. Search for other works by this author on: This Site PubMed Google Scholar Biochem J (1991) 273 (2): 249–264. https://doi.org/10.1042/bj2730249 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share MailTo Twitter LinkedIn Cite Icon Cite Get Permissions Citation T E Weaver, J A Whitsett; Function and regulation of expression of pulmonary surfactant-associated proteins. Biochem J 15 January 1991; 273 (2): 249–264. doi: https://doi.org/10.1042/bj2730249 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsBiochemical Journal Search Advanced Search This content is only available as a PDF. © 1991 The Biochemical Society, London1991 Article PDF first page preview Close Modal You do not currently have access to this content.
Chemoenzymatic synthesis of glycosaminoglycans: Re-creating, re-modeling and re-designing nature's longest or most complex carbohydrate chains (2013)

Glycosaminoglycans (GAGs) are complex polysaccharides composed of hexosamine-containing disaccharide repeating units. The three most studied classes of GAGs, heparin/heparan sulfate, hyaluronan and chondroitin/dermatan sulfate, are essential macromolecules. GAGs isolated from animal and microbial sources have been utilized therapeutically, but naturally occurring GAGs are extremely heterogeneous limiting further development of these agents. These molecules pose difficult targets to construct by classical organic syntheses due to the long chain lengths and complex patterns of modification by sulfation and epimerization. Chemoenzymatic synthesis, a process that employs exquisite enzyme catalysts and various defined precursors (e.g. uridine 5'-diphosphosphate-sugar donors, sulfate donors, acceptors and oxazoline precursors), promises to deliver homogeneous GAGs. This review covers both theoretical and practical issues of GAG oligosaccharide and polysaccharide preparation as single molecular entities and in library formats. Even at this early stage of technology development, nearly monodisperse GAGs can be made with either natural or artificial structures.
An ETL optimization framework using partitioning and parallelization (2015)

Extract-Transform-Load (ETL) handles large amounts of data and manages workload through dataflows. ETL dataflows are widely regarded as complex and expensive operations in terms of time and system resources. In order to minimize the time and the resources required by ETL dataflows, this paper presents an optimization framework using partitioning and parallelization. The framework first partitions an ETL dataflow into multiple execution trees according to the characteristics of ETL constructs, then within an execution tree pipelined parallelism and shared cache are used to optimize the partitioned dataflow. Furthermore, multi-threading is used in component-based optimization. The experimental results show that the proposed framework can achieve 4.7 times faster than the ordinary ETL dataflows (without using the proposed partitioning and optimization methods), and is comparable to the similar ETL tools.
A Scheme for Batch Verification of Integrity Assertions in a Database System (1984)

A database management system can ensure the semantic integrity of a database via an integrity control subsystem. A technique for implementation of such a subsystem is proposed. After a database is updated by transactions, its integrity must be verified by evaluation of a set of semantic integrity assertions. For evaluation of an integrity assertion a number of database pages need to be transferred from the secondary storage to the fast memory. Since certain pages may be required for evaluation of different integrity assertions, the order of the evaluation of the integrity assertions determines the total number of pages fetched from the secondary storage. Hence, the schedule for the evaluation determines the cost of the database verification process. We show that the search for an optimal schedule is an NP-hard problem. Four approximation algorithms that find suboptimal schedules are proposed. They are based on the utilization of intersections among sets of pages required for the evaluation of different integrity assertions. The theoretical worst case behaviors of these algorithms are studied. Finally, the algorithms are compared via a simulation study to a naive, random order verification approach. The methods proposed for minimizing the costs of the batch integrity verification also apply to other problems that can be abstracted to the directed traveling salesman optimization problem. For example, the methods are applicable to multiple to multiple-query optimization and to concurrency control via the predicate locks.
New Locations for Discursive Agency: The Story of Anandamai Ma (2013)

This paper aims to relocate our relationship to modes of knowledge that fall outside of Western rationalism and conceptual thought by relocating our understanding of agency through the figure of Anandamai Ma, a 20th century Hindu "saint.
Immunomodulatory activity of synthetic innate defence regulators (IDRs) (134.45) (2009)

Abstract Cationic host defence (antimicrobial) peptides, e.g. cathelicidin LL-37, have a variety of immunomodulatory activities that favour the safe resolution of infections. We have studied novel synthetic cationic innate defence regulator peptides that are not directly antimicrobial but are anti-infective in vivo, due to modulation of innate immunity. A range of peptides derived from the small bovine peptide bactenecin were screened for immunomodulatory activities in vitro; e.g. promotion of chemokine production and suppression of pro-inflammatory cytokines. Since innate immunity is complex, involving &gt;1,500 gene products, a systems biology approach was utilized to characterize peptide modulation of innate immunity, including analysis of receptors, signalling pathways, transcription factors and downstream genes. To permit visualization and bioinformatic analysis of complex events, an innate immunity database (www.innatedb.ca), a network visualization tool (Cerebral) and downstream analysis tools (e.g. pathway overrepresentation analysis) were developed and provided insight into how this selective modulation occurs. In vivo data indicate that these activities provide protection in animal model infections of Gram positive and Gram negative bacterial infections as well as severe malaria. Thus IDRs have great potential for use as novel anti-infective agents. Supported by Genome BC, FNIH and CIHR.
Principales causas de dermatitis en sementales porcinos CC21 en unidades de producción (2012)

This work was performed in a unit belonging to the Company swine Swine Havana Mayabeque province, Cuba. We worked with 20 stallions of the breed CC21 during ...
Non-uniform to uniform image resampling utilizing a 2D Farrow structure (2007)

We consider the problem of non-uniform to uniform re-sampling of images as a problem of reconstruction of 2D continuous function out of non-uniformly distributed samples and its subsequent sampling at the desired grid. The function is assumed to belong to a shift-invariant space with a suitable space-generating basis, e.g. ten-sor-product splines. A classical approach is to find the corresponding spline coefficients (coordinates with re-spect to the basis) through a least squares (LS) proce-dure. In order to achieve a higher computational effi-ciency we suggest a compromise leading to a near least squares solution. It allows substituting the matrix inver-sion in the traditional least squares with recursive digi-tal filtering and leads to a 2D form of the so-called transposed Farrow structure, utilized earlier for efficient computations with 1D piecewise-polynomial functions. The performance of the newly-derived filtering structure is demonstrated by applying it to superresolution recon-struction from registered images and by reconstruction of randomly sampled images. Compared with two state-of-the-art resampling methods, our technique gives competitive results while having low computational complexity. Furthermore, it is quite robust to registra-tion errors. 1.
Addressing the dark side of vision research: storage (2017)

Data access is swiftly becoming a bottleneck in visual data processing, providing an opportunity to influence the way visual data is treated in the storage system. To foster this discussion, we identify two key areas where storage research can strongly influence visual processing run-times: efficient metadata storage and new storage formats for visual data. We propose a storage architecture designed for efficient visual data access that exploits next generation hardware and give preliminary results showing how it enables efficient vision analytics.
Phase I Study of <sup>131</sup> I-Chimeric(ch) TNT-1/B Monoclonal Antibody for the Treatment of Advanced Colon Cancer (2006)

The infusion of 131I-chTNT-1/B MAB was well tolerated, without significant nonhematological toxicity. No patient obtained a complete or partial response, based on tumor cross-product response criteria. Tumor localization was seen in patients with dose levels at, and exceeding, 50.23 MBq/kg (1.36 mCi/kg) 131I-chTNT-1/B MAB.
miR-24 limits aortic vascular inflammation and murine abdominal aneurysm development (2014)

Identification and treatment of abdominal aortic aneurysm (AAA) remain among the most prominent challenges in vascular medicine. MicroRNAs (miRNAs) are crucial regulators of cardiovascular pathology and represent intriguing targets to limit AAA expansion. Here we show, by using two established murine models of AAA disease along with human aortic tissue and plasma analysis, that miR-24 is a key regulator of vascular inflammation and AAA pathology. In vivo and in vitro studies reveal chitinase 3-like 1 (Chi3l1) to be a major target and effector under the control of miR-24, regulating cytokine synthesis in macrophages as well as their survival, promoting aortic smooth muscle cell migration and cytokine production, and stimulating adhesion molecule expression in vascular endothelial cells. We further show that modulation of miR-24 alters AAA progression in animal models, and that miR-24 and CHI3L1 represent novel plasma biomarkers of AAA disease progression in humans.
Pd(II)-Catalyzed Enantioselective C–H Activation of Cyclopropanes (2011)

Systematic ligand development has led to the identification of novel mono-N-protected amino acid ligands for Pd(II)-catalyzed enantioselective C-H activation of cyclopropanes. A diverse range of organoboron reagents can be used as coupling partners, and the reaction proceeds under mild conditions. These results provide a new retrosynthetic disconnection for the construction of enantioenriched cis-substituted cyclopropanecarboxylic acids.
WHEELCHAIR SAFETY???ADVERSE REPORTS TO THE UNITED STATES FOOD AND DRUG ADMINISTRATION (1995)

Evidence has been accumulating that injuries related to wheelchair use are common and sometimes serious. The object of this study was to evaluate the databases of the Food and Drug Administration (FDA) for insights to the nature and causes of such problems. We analyzed 651 records that were received by the FDA between 1975 and 1993. There were 368 injuries, 21 of which were fatal, affecting 334 wheelchair users. Fractures were the most common (45.5%), with lacerations (22.3%) and contusions/abrasions (20.1%) accounting for most of the remainder. The proportion of incidents related to the use of scooters, powered wheelchairs, and manual wheelchairs were 52.8%, 24.6%, and 22.6%, respectively. Four broad classes of contributing factors, often acting in combination, were implicated: engineering (60.5%), environmental (25.4%), occupant (9.6%), and system (4.6%). Of the tips and falls, those in the forward direction were most common in incidents affecting manual or powered wheelchairs, but the sideways direction was most common in scooters. The FDA database provides a unique perspective on wheelchair safety, with implications for clinicians, users, manufacturers, and regulatory bodies.
5G PPP Architecture Working Group - View on 5G Architecture, Version 3.0 (2019)

The 5G Architecture Working Group as part of the 5G PPP Initiative is looking at capturing novel trends and key technological enablers for the realization of the 5G architecture. It also targets at presenting in a harmonized way the architectural concepts developed in various projects and initiatives (not limited to 5G PPP projects only) so as to provide a consolidated view on the technical directions for the architecture design in the 5G era.<br> The first version of the white paper was released in July 2016, which captured novel trends and key technological enablers for the realization of the 5G architecture vision along with harmonized architectural concepts from 5G PPP Phase 1 projects and initiatives. Capitalizing on the architectural vision and framework set by the first version of the white paper, the Version 2.0 of the white paper was released in January 2018 and presented the latest findings and analyses of 5G PPP Phase I projects along with the concept evaluations.<br> The work has continued with the 5G PPP Phase II and Phase III projects with special focus on understanding the requirements from vertical industries involved in the projects and then driving the required enhancements of the 5G Architecture able to meet their requirements. The results of the Working Group are now captured in this Version 3.0, which presents the consolidated European view on the architecture design.
Conducting Polymer Scaffolds Based on Poly(3,4-ethylenedioxythiophene) and Xanthan Gum for Live-Cell Monitoring (2018)

Conducting polymer scaffolds can promote cell growth by electrical stimulation, which is advantageous for some specific type of cells such as neurons, muscle, or cardiac cells. As an additional feature, the measure of their impedance has been demonstrated as a tool to monitor cell growth within the scaffold. In this work, we present innovative conducting polymer porous scaffolds based on poly(3,4-ethylenedioxythiophene) (PEDOT):xanthan gum instead of the well-known PEDOT:polystyrene sulfonate scaffolds. These novel scaffolds combine the conductivity of PEDOT and the mechanical support and biocompatibility provided by a polysaccharide, xanthan gum. For this purpose, first, the oxidative chemical polymerization of 3,4-ethylenedioxythiophene was carried out in the presence of polysaccharides leading to stable PEDOT:xanthan gum aqueous dispersions. Then, by a simple freeze-drying process, porous scaffolds were prepared from these dispersions. Our results indicated that the porosity of the scaffolds and mechanical properties are tuned by the solid content and formulation of the initial PEDOT:polysaccharide dispersion. Scaffolds showed interconnected pore structure with tunable sizes ranging between 10 and 150 μm and Young's moduli between 10 and 45 kPa. These scaffolds successfully support three-dimensional cell cultures of MDCK II eGFP and MDCK II LifeAct epithelial cells, achieving good cell attachment with very high degree of pore coverage. Interestingly, by measuring the impedance of the synthesized PEDOT scaffolds, the growth of the cells could be monitored.
Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage (2017)

This paper concerns a fundamental class of convex matrix optimization problems. It presents the first algorithm that uses optimal storage and provably computes a low-rank approximation of a solution. In particular, when all solutions have low rank, the algorithm converges to a solution. This algorithm, SketchyCGM, modifies a standard convex optimization scheme, the conditional gradient method, to store only a small randomized sketch of the matrix variable. After the optimization terminates, the algorithm extracts a low-rank approximation of the solution from the sketch. In contrast to nonconvex heuristics, the guarantees for SketchyCGM do not rely on statistical models for the problem data. Numerical work demonstrates the benefits of SketchyCGM over heuristics.
Sound speed and attenuation in water-saturated granular materials at MHz frequencies (2017)

Sound speed and attenuation measurements are reported for water-saturated granular materials (natural sand and glass beads) at frequencies of 1.0 to 1.8 MHz. Median grain diameters were 0.219 to 0.497 mm, corresponding to kd&gt;1, i.e., the scattering regime. The measurements were made for different thicknesses of sediment resting on a reflective surface using a monostatic geometry. The attenuation estimates compare well with previously reported experimental results and to the predictions of multiple scattering theory. The sound speed estimates exhibit the negative dispersion predicted by theory, but compared to previous measurements are biased low by 100 m/s to 200 m/s. It is argued that this bias is due to microbubbles in concentrations of O(10) ppm by volume.
Collagen binding specificity of the discoidin domain receptors: Binding sites on collagens II and III and molecular determinants for collagen IV recognition by DDR1 (2010)

The discoidin domain receptors, DDR1 and DDR2 are cell surface receptor tyrosine kinases that are activated by triple-helical collagen. While normal DDR signalling regulates fundamental cellular processes, aberrant DDR signalling is associated with several human diseases. We previously identified GVMGFO (O is hydroxyproline) as a major DDR2 binding site in collagens I-III, and located two additional DDR2 binding sites in collagen II. Here we extend these studies to the homologous DDR1 and the identification of DDR binding sites on collagen III. Using sets of overlapping triple-helical peptides, the Collagen II and Collagen III Toolkits, we located several DDR2 binding sites on both collagens. The interaction of DDR1 with Toolkit peptides was more restricted, with DDR1 mainly binding to peptides containing the GVMGFO motif. Triple-helical peptides containing the GVMGFO motif induced DDR1 transmembrane signalling, and DDR1 binding and receptor activation occurred with the same amino acid requirements as previously defined for DDR2. While both DDRs exhibit the same specificity for binding the GVMGFO motif, which is present only in fibrillar collagens, the two receptors display distinct preferences for certain non-fibrillar collagens, with the basement membrane collagen IV being exclusively recognised by DDR1. Based on our recent crystal structure of a DDR2-collagen complex, we designed mutations to identify the molecular determinants for DDR1 binding to collagen IV. By replacing five amino acids in DDR2 with the corresponding DDR1 residues we were able to create a DDR2 construct that could function as a collagen IV receptor.
Synthesis of Diastereomeric Mixtures of 5'-C-Hydroxymethylthymidine and Introduction of a Novel Class of C-Hydroxymethyl Functionalised Oligodeoxynucleotides. (1996)

Novel 5'-C-hydroxymethyl substituted derivatives of thymidine have been prepared by dihydroxylation of the 5'C-methylene nucleoside 1. Osmium tetraoxide catalysed dihydroxylation of 1 afforded a 3:2 epimeric mixture of diols 2, whereas asymmetric dihydroxylation using AD-mix-alpha and AD-mix-beta resulted in mixtures 3 and 4 of the two epimeric diols, both enriched with the same diastereomer. Nucleosides 2 were transformed into phosphoramidites 8 which were used for solid phase synthesis of oligodeoxynucleotides (ODNs) containing 5'-C-(hydroxymethyl) functionalised thymidine monomers. This novel class of C-hydroxymethyl modified ODN-analogues exhibited promising affinity towards both complementary DNA and RNA as well as resistance towards 3'-exonucleolytic degradation.