gebhart/patrepeval huggingface dataset:
Towards structured log analysis (2012)

Value of software log file analysis has been constantly increasing with the value of information to organizations. Log management tools still have a lot to deliver in order to empower their customers with the true strength of log information. In addition to the traditional uses such as testing software functional conformance, troubleshooting and performance benchmarking, log analysis has proven its capabilities in fields like intrusion detection and compliance evaluation. This is verified by the emphasis on log analysis in regulations like PCI DSS, FISMA, HIPAA and frameworks such as ISO 27001 and COBIT. In this paper we present an in depth analysis into current log analysis domains and common problems. A practical guide to the use of few popular log analysis tools is also included. Lack of proper support for structured analysis is identified as one major flaw in existing tools. After that, we describe a framework we developed for structured log analysis with the view of providing a solution to open problems in the domain. The core strength of the framework is its ability to handle many log file formats that are not well served by existing tools and providing sophisticated infrastructure for automating recurring log analysis procedures. We prove the usefulness of the framework with a simple experiment.
A Primal-dual Learning Algorithm for Personalized Dynamic Pricing with an Inventory Constraint (2018)

We consider the problem of a firm seeking to use personalized pricing to sell an exogenously given stock of a product over a finite selling horizon to different consumer types. We assume that the type of an arriving consumer can be observed but the demand function associated with each type is initially unknown. The firm sets personalized prices dynamically for each type and attempts to maximize the revenue over the season. We provide a learning algorithm that is near-optimal when the demand and capacity scale in proportion. The algorithm utilizes the primal-dual formulation of the problem and learns the dual optimal solution explicitly. It allows the algorithm to overcome the curse of dimensionality (the rate of regret is independent of the number of types) and sheds light on novel algorithmic designs for learning problems with resource constraints.
Perfusion‐Decellularization of Porcine Lung and Trachea for Respiratory Bioengineering (2015)

Decellularization of native organs may provide an acellular tissue platform for organ regeneration. However, decellularization involves a trade-off between removal of immunogenic cellular elements and preservation of biomechanical integrity. We sought to develop a bioartificial scaffold for respiratory tissue engineering by decellularization of porcine lungs and trachea while preserving organ architecture and vasculature. Lung-trachea preparations from 25 German Landrace pigs were perfused in a modified Langendorff circuit and decellularized by an SDC (sodium deoxycholate)-based perfusion protocol. Decellularization was evaluated by histology and fluorescence microscopy, and residual DNA quantified spectrophotometrically and compared with controls. Airway compliance was evaluated by endotracheal intubation and mechanical ventilation to simulate physiological breathing-induced stretch. Structural integrity was evaluated by bronchoscopy and biomechanical stress/strain analysis by measuring passive tensile strength, all compared with controls. Decellularized lungs and trachea lacked intracellular components but retained specific collagen fibers and elastin. Quantitative DNA analysis demonstrated a significant reduction of DNA compared with controls (32.8 ± 12.4 μg DNA/mg tissue vs. 179.7 ± 35.8 μg DNA/mg tissue, P < 0.05). Lungs and trachea decellularized by our perfusion protocol demonstrated increased airway compliance but preserved biomechanical integrity as compared with native tissue. Whole porcine lungs-tracheae can be successfully decellularized to create an acellular scaffold that preserves extracellular matrix and retains structral integrity and three-dimensional architecture to provide a bioartifical platform for respiratory tissue engineering.
A hierarchical architecture for resource allocation, plan execution, and revision for operation of a network of communications antennas (2002)

This paper describes a hierarchical scheduling, planning, control, and execution monitoring architecture for automating operations of the Deep Space Network, a worldwide network of communications antennas. We describe the network automation problem and current mode of operations. We then describe a three layer hierarchical architecture for automating network operations. In particular we describe the notion of plan/schedule generation, execution, and revision at each level. Finally, we describe the current state of deployment for each segment of the automation architecture.
Low‐voltage Driven Graphene Foam Thermoacoustic Speaker (2014)

A low-voltage driven thermoacoustic speaker is fabricated based on three-dimensional graphene foams synthesized by a nickel-template assisted chemical vapor deposition method. The corresponding thermoacoustic performances are found to be related to its microstructure. Graphene foams exhibit low heat-leakage to substrates and feasible tunability in structures and thermoacoustic performances, having great promise for applications in flexible or ultrasonic acoustic devices.
Counterfeit chips on the rise (2012)

As more firms report finding phony chips, the danger they pose becomes clearer — Making semiconductors is a big business–and, so it seems, is counterfeiting them. Just how big is becoming clearer than ever, thanks in part to the candor of the U.S. military, and it will become even clearer as new laws in the United States come into effect later this year.
Palladium-Catalyzed Cross-Coupling in Aqueous Media: Recent Progress and Current Applications (2005)

Water has attracted significant attention as an alternative solvent for homogeneous metal-catalyzed reactions because it is a non-toxic, nonflammable solvent that can allow for simplified recovery of homogeneous catalysts. The use of water as a solvent in palladium-catalyzed cross-coupling reactions is of great academic and industrial interest. Palladium-catalyzed coupling reactions are powerful methods to make carbon-carbon and carbon-heteroatom bonds under mild conditions. Separation of the catalyst from the organic product can be very difficult; however, constraining the catalyst to the aqueous-phase of an aqueous-biphasic solvent system can potentially simplify catalyst recovery. This review will focus on recent developments in the design and application of aqueous-phase, palladium-catalyzed coupling reactions over the period from 2000, through late 2004. A variety of new hydrophilic ligand architectures have been introduced recently that provide significantly more active catalysts towards industrially relevant aryl bromides and chlorides.
A Convenient Synthesis of Trifluoromethylated Pyrroles and Porphyrins (1989)

Abstract 4-Alkyl-3-trifluoromethyl-2-pyrrolecarboxylic acid esters (2) were conveniently prepared by the reaction of trifluoromethylated β-nitro acetates (1) with ethyl isocyanoacetate. The pyrroles were converted into the corresponding porphyrins via tetramerization of 2-(hydroxymethyl)pyrroles.
Degree of conversion and molecular weight of one denture base and three reline resins submitted to post-polymerization treatments (2007)

The effect of post-polymerization treatments (MW-microwave irradiation and WB-water-bath) on the degree of conversion (DC) of three reline resins (Ufi Gel hard-U, Kooliner-K, and Tokuso Rebase Fast-T) and one denture base resin (Lucitone 550-L), submitted to two polymerization cycles (LS-short and LL-long), was evaluated by using FT-Raman spectroscopy (n = 5). The molecular weight (Mw) of the powder of all materials and of K polymerized specimens (control; MW; and WB; n = 3) was analyzed using GPC. DC data were analyzed using Kruskal-Wallis test (a = .05). For control specimens, there were no significant differences between U (68%) and LL (77%) and among LL, K (81%), and T (84%). LS (92%) had the highest DC (P < 0.05). Only material K exhibited an increased DC after WB (P < 0.05). All powders had Mw from 4.0 x 10(5) to 6.5 x 10(5) and narrow Mw distributions (2.1 to 3.6). Polymerization and post-polymerization produced K specimens with Mw similar to that of K powder.
How Advances in Search Combine Databases, Sentence Diagramming, and "Just the Facts" (2007)

Among the most studied subfields of natural language processing (NLP) are information retrieval (IR, aka search) and information extraction (IE). Yet, even though researchers have wanted to combine IR and IE for nearly a decade, we are only now starting to see commercial applications that put the notion into practice. The search market remains dominated by traditional IR technologies, as evidenced by the likes of Google, Yahoo, and Verity. (Granted, Google's page-rank algorithm departs from traditional IR algorithms by including link data, but the underlying index of terms is conventional.) Two forces are driving the need for advanced search technologies: (a) users are more knowledgeable and are demanding greater search engine precision; and (b) vendors must create new search products, particularly enterprise search applications. This issue's theme articles represent several of these advancements. In this article, the author detail how IE-in particular action-oriented event extraction-enables new search functionality
Human antibodies reactive with purified envelope antigens of primate type C tumor viruses. (1978)

Human sera from healthy individuals have been shown to react with viral antigens in preparations of detergent-disrupted C type viruses from monkeys. In this report, it is demonstrated that (populations of) these human antibodies react with highly purified envelope glycoproteins of the simian sarcoma virus-simian sarcoma-associated virus complex and the Friend leukemia virus complex. Several immunological parameters influencing human antibody binding to C type tumor virus antigens have been characterized. These parameters indicate that human antibodies tend to bind to what is probably a subset of the antigenic determinants on the virus envelope antigens and that different human sera recognize the same antigenic determinants on the virus envelope antigens tested. The possible origin of these antibodies is discussed.
A Novel Method of Thrombus Preparation for Use in a Swine Model for Evaluation of Thrombectomy Devices (2010)

We report the development of a novel technique of thrombus preparation for use in a swine model for evaluation of thrombectomy devices. The experimental thrombus prepared using plain sedimentation showed mechanical stability due to its solid fibrin-rich component. The thrombus also showed histologic similarity to the typical thromboemboli recovered from patients with stroke in the course of therapeutic thrombectomy. This new technique may be beneficial for preclinical evaluation of thrombectomy devices.
4,5-Diazafluorene-Incorporated Ter(9,9-diarylfluorene): A Novel Molecular Doping Strategy for Improving the Electron Injection Property of a Highly Efficient OLED Blue Emitter (2005)

A more efficient OLED device with blue emission characteristic of terfluorene has been achieved by using a novel molecular doping strategy, in which 4,5-diazafluorene was incorporated as the substitution group of terfluorene to facilitate electron injection from the metal cathode yet without altering emission characteristics.
Carbon Structure and Activity of non-noble Catalysts for Oxygen Reduction in PEMFC (2006)

Abstract not Available.
Research on Development and Model of Intelligent Transportation Systems (2015)

With the rapid development of economy and society, Intelligent Transport Systems also known as the road traffic information communication system, based on systems engineering, electronics, communications, information, and other high-tech, and have penetrated into the new transportation system of aviation, shipping, rail transport sector. In this paper, there is the basic organizational framework for intelligent transportation, intelligent transportation network proposed model and its data storage structure, and the important influence on optimal path trajectory intelligent transportation planning. This paper analyze intersection road network in the distribution based on computer. Establish ITS can improve after the road network line capacity and service levels, improve environmental quality and improve energy efficiency. There are introduction and overview of the basic concepts of domestic and international development, and proposed disciplinary system model of intelligent transportation systems, and network services model hierarchical model, and a brief analysis a model of meaning. Finally, the system standardization issues and model of the role of standardization briefly introduced.
A novel prefetching method for scene-based mobile social network service (2010)

In order to improve quality of service (QoS) of wireless environment in scene-based mobile social network service (mobile SNS), a novel prefetching method is proposed in this paper. Utilizing this method, prefetching decisions are made based on the relationship among users and access histories recorded in the client. When the user is viewing the scene or other components, client is allowed to prefetch scenes from the server that the user will potentially access soon. Experiment has been done on a prototype called scene life system developed by us. The results show that the proposed method can significantly reduce scene access time, and then provide better QoS.
Target-Directed Self-Assembly of Homodimeric Drugs Against β-Tryptase (2018)

Tryptase, a serine protease released from mast cells, is implicated in many allergic and inflammatory disorders. Human tryptase is a donut-shaped tetramer with the active sites facing inward forming a central pore. Bivalent ligands spanning two active sites potently inhibit this configuration, but these large compounds have poor drug-like properties. To overcome some of these challenges, we developed self-assembling molecules, called coferons, which deliver a larger compound in two parts. Using a pharmacophoric core and reversibly binding linkers to span two active sites, we have successfully produced three novel homodimeric tryptase inhibitors. Upon binding to tryptase, compounds reassembled into flexible homodimers, with significant improvements in IC<sub>50</sub> (0.19 ± 0.08 μM) over controls (5.50 ± 0.09 μM), and demonstrate good activity in mast cell lines. These studies provide validation for this innovative technology that is especially well-suited for the delivery of dimeric drugs to modulate intracellular macromolecular targets.
Psychiatric inpatients who commit criminal offences: The legal, ethical and therapeutic challenges (2004)

The thorny issue of how to respond to patients who commit offences while they are detained in hospital under the 1983 Mental Health Act (MHA) is examined by Mathew Page and Calum Meiklejohn
Neural Networks for Open Domain Targeted Sentiment (2015)

Open domain targeted sentiment is the joint information extraction task that finds target mentions together with the sentiment towards each mention from a text corpus. The task is typically modeled as a sequence labeling problem, and solved using state-of-the-art labelers such as CRF. We empirically study the effect of word embeddings and automatic feature combinations on the task by extending a CRF baseline using neural networks, which have demonstrated large potentials for sentiment analysis. Results show that the neural model can give better results by significantly increasing the recall. In addition, we propose a novel integration of neural and discrete features, which combines their relative advantages, leading to significantly higher results compared to both baselines.
Clinical Assessment of Anti-Viral CD8+ T Cell Immune Monitoring Using QuantiFERON-CMV® Assay to Identify High Risk Allogeneic Hematopoietic Stem Cell Transplant Patients with CMV Infection Complications (2013)

The reconstitution of anti-viral cellular immunity following hematopoietic stem cell transplantation (HSCT) is crucial in preventing cytomegalovirus (CMV)-associated complications. Thus immunological monitoring has emerged as an important tool to better target pre-emptive anti-viral therapies. However, traditional laboratory-based assays are too cumbersome and complicated to implement in a clinical setting. Here we conducted a prospective study of a new whole blood assay (referred to as QuantiFERON-CMV®) to determine the clinical utility of measuring CMV-specific CD8+ T-cell responses as a prognostic tool. Forty-one evaluable allogeneic HSCT recipients underwent weekly immunological monitoring from day 21 post-transplant and of these 21 (51.2%) showed CMV reactivation and 29 (70.7%) developed acute graft-versus-host disease (GvHD). Patients with acute GvHD (grade ≥ 2) within 6 weeks of transplant showed delayed reconstitution of CMV-specific T-cell immunity (p = 0.013) and a higher risk of CMV viremia (p = 0.026). The median time to stable CMV-specific immune reconstitution was 59 days and the incidence of CMV reactivation was lower in patients who developed this than those who did not (27% versus 65%; p = 0.031). Furthermore, a failure to reconstitute CMV-specific immunity soon after the onset of CMV viraemia was associated with higher peak viral loads (5685 copies/ml versus 875 copies/ml; p = 0.002). Hence, QuantiFERON-CMV® testing in the week following CMV viremia can be useful in identifying HSCT recipients at risk of complicated reactivation.
Trust modeling in multi-robot patrolling (2014)

On typical multi-robot teams, there is an implicit assumption that robots can be trusted to effectively perform assigned tasks. The multi-robot patrolling task is an example of a domain that is particularly sensitive to reliability and performance of robots. Yet reliable performance of team members may not always be a valid assumption even within homogeneous teams. For instance, a robot's performance may deteriorate over time or a robot may not estimate tasks correctly. Robots that can identify poorly performing team members as performance deteriorates, can dynamically adjust the task assignment strategy. This paper investigates the use of an observation based trust model for detecting unreliable robot team members. Robots can reason over this model to perform dynamic task reassignment to trusted team members. Experiments were performed in simulation and using a team of indoor robots in a patrolling task to demonstrate both centralized and decentralized approaches to task reassignment. The results clearly demonstrate that the use of a trust model can improve performance in the multi-robot patrolling task.
The Query Optimizer in Tandem's new ServerWare SQL Product (1996)

A brief overview of Nonstop SQL product will be followed by a description of what is different in ServerWare SQL. The current Nonstop SQL optimizer uses a traditional bottom-up dynamic programming optimizer. This is the same type of optimization algorithm used in System R and many commercial products. The optimizer in the new product is a top-down branch and bound ruledriven cost based optimizer similar to work done on the Volcano optimizer.
Depth estimation and image restoration using defocused stereo pairs (2004)

We propose a method for estimating depth from images captured with a real aperture camera by fusing defocus and stereo cues. The idea is to use stereo-based constraints in conjunction with defocusing to obtain improved estimates of depth over those of stereo or defocus alone. The depth map as well as the original image of the scene are modeled as Markov random fields with a smoothness prior, and their estimates are obtained by minimizing a suitable energy function using simulated annealing. The main advantage of the proposed method, despite being computationally less efficient than the standard stereo or DFD method, is simultaneous recovery of depth as well as space-variant restoration of the original focused image of the scene.
LV-grid automation system &#x2014; A technology review (2014)

The ongoing shift towards more decentralized and renewable energy systems requires extensive modifications to existing grids and their operating principles - especially at the distribution level. Besides conventional grid enhancements, smart distribution systems are one way of handling these new supply scenarios and allow for maintaining voltage quality and capacity utilization constraints. The present paper describes an autonomously operating LV-grid automation system that is able to monitor the power flow situation within the LV-grid and to control the grid if necessary by using different actuators. It has been tested within several LV-grids in Germany. Both core modules of the system, the state identification module and the control module, are in the spotlight of this paper.
Effects of Initiating Insulin and Metformin on Glycemic Control and Inflammatory Biomarkers Among Patients With Type 2 Diabetes (2009)

clinicaltrials.gov Identifier: NCT00366301.
[The effect of an antidepressive agent on premature ejaculation]. (1995)

Premature ejaculation is a common male sexual dysfunction. Many kinds of medication have been used without great success. The start-stop technique is usually preferred. However, some patients and couples do not want to learn this kind of sexual therapy. One common adverse effect of the new selective serotonin re-uptake inhibitors is delayed ejaculation. This article discusses a patient with a premature ejaculation problem combined with minor depression and anxiety, who was successfully treated with paroxetine.
논문 : 증권사의 IT 투자를 통한 지식경영 성과 연구 -패널자료 분석- (2008)

본고에서는 다양한 패널 추정기법을 사용하여, 기존 연구에 결여된 국내증권사의 경영성과에 대한 금융정보화(IT)투자의 효과를 분석하였다. 국내 22개 증권사별 금융정보화 및 재무제표에 대한 연간 패널자료(1992-2004)가 실증분석에 사용되었다. 패널 단위근 검정 결과를 고려한 후, 고정효과모형, 확률효과모형 및 패널GMM의 3가지 패널 추정기법을 사용하여 수익성 방정식을 추정하였다. 실증분석 결과, 증권사 수익률 대리변수들 중, 총자산순이익률과 IT투자 변수가 가장 강력한 양(+)의 관계를 나타냈다. 증권사 규모별로는 소형증권사보다 대형증권사에서 IT투자가 수익률 제고에 더 강력한 효과를 주었다. 증권사 전략별로는 도매증권사보다 소매증권사에서 IT투자가 수익률에 더 강력한 양의 효과를 갖는 것으로 추정되었다. 재무분석 이론에 근거한 회귀변수의 선정을 통해 모형 적합도가 선행 연구보다 제고되었다.
TỔNG QUAN VỀ TỔNG HỢP XANH NANO BẠC SỬ DỤNG CHIẾT XUẤT THỰC VẬT VÀ ỨNG DỤNG TRONG LĨNH VỰC Y - DƯỢC (2022)

In the synthesis of nanoparticles, the green synthesis of silver nanoparticles has gained much attention in biomedicine and pharmacy due to their unique physicochemical and biological properties. The green synthesis method uses plant extracts, living organisms, or biomolecules as bioreducing and biocapping agents to synthesize nanoparticles. The green synthesized silver nanoparticles are biocompatible, ecofriendly, and cost-effective. This review aims to elucidate recent advances in the plant-mediated green synthesis of silver nanoparticles (GAgNP) and their potential in antibacterial, cosmetic, anti-cancer, diagnostic, and biosensor applications. * Keywords: Green synthesis; Silver nanoparticles; Plant extracts.