gebhart/patrepeval huggingface dataset:
Task Resource Planning and Verification Method Based on Intelligent Planning (2018)

In order to meet the demands of rapid resource scheduling and capability recombination in a rapidly changing environment, real-time and dynamic resource planning and flexible scheduling are carried out in a relatively short time within a wide space. The paper proposes a fast generation method of task system resource guarantee plan based on intelligent planning, allocation mechanism and verification method. In this paper, we use an ontology-based semantic representation model and Hierarchical Task Network (HTN) to get the corresponding sequences of the resource type, breaking through the hierarchical task network planning combined with business process driven technology, to implement the task decomposition and resource guarantee scheme generation technique. Then we use Multidimensional Dynamic List Scheduling (MDLS) resource allocation algorithm to complete screening and the operation of the specific distribution of resources. During the resource allocation, we use conflict resolution algorithm to avoid resource conflict, to ensure resource combination optimization.
Synthesis and Quantitative Structure−Activity Relationship of Fatty Acid Amide Hydrolase Inhibitors: Modulation at the N-Portion of Biphenyl-3-yl Alkylcarbamates (2008)

Alkylcarbamic acid biphenyl-3-yl esters are a class of fatty acid amide hydrolase (FAAH) inhibitors that comprises cyclohexylcarbamic acid 3'-carbamoylbiphenyl-3-yl ester (URB597), a compound with analgesic, anxiolytic-like and antidepressant-like properties in rat and mouse models. Here, we extended the structure-activity relationships (SARs) for this class of compounds by replacing the cyclohexyl ring of the parent compound cyclohexylcarbamic acid biphenyl-3-yl ester (URB524) (FAAH IC50 = 63 nM) with a selected set of substituents of different size, shape, flexibility, and lipophilicity. Docking experiments and linear interaction energy (LIE) calculations indicated that the N-terminal group of O-arylcarbamates fits within the lipophilic region of the substrate-binding site, mimicking the arachidonoyl chain of anandamide. Significant potency improvements were observed for the beta-naphthylmethyl derivative 4q (IC50 = 5.3 nM) and its 3'-carbamoylbiphenyl-3-yl ester 4z (URB880, IC50 = 0.63 nM), indicating that shape complementarity and hydrogen bonds are crucial to obtain highly potent inhibitors.
Enzyme Molecular Mechanism as a Starting Point to Design New Inhibitors: A Theoretical Study of <i>O</i>-GlcNAcase (2011)

O-Glycoprotein 2-acetamino-2-deoxy-β-D-glucopyranosidase (O-GlcNAcase) hydrolyzes O-linked 2-acetamido-2-deoxy-β-D-glucopyranoside (O-GlcNAc) residues from post-translationally modified serine/threonine residues of nucleocytoplasmic protein. The chemical process involves substrate-assisted catalysis, where two aspartate residues have been identified as the two key catalytic residues of O-GlcNAcase. In this report, the first step of the catalytic mechanism used by O-GlcNAcase involving substrate-assisted catalysis has been studied using a hybrid quantum mechanical/molecular mechanical (QM/MM) Molecular Dynamics (MD) calculations. The free energy profile shows that the formation of the oxazoline intermediate in the O-GlcNAcase catalytic reaction takes place by means of a stepwise mechanism. The first step would be a cyclization of the acetomide group, which seems to be dependent on the proton transfer from a conserved aspartate, Asp298 in Clostridium perfringens O-GlcNAcase. From this new intermediate, a proton is transferred from the azoline ring to another conserved aspartate (Asp297) thus forming the oxazoline ion and departure of the aglycone. In addition, averaged values of protein-substrate interaction energy along the reaction path shows that, in fact, the transition states present the highest binding affinities. A deeper analysis of the binding contribution of the individual residues shows that Asp297, Asp298, and Asp401 are basically responsible of the stabilization of these complexes. These results would explain why O-(2-acetamido-2deoxy-d-glucopyranosylidene)amino-N-phenycarbamate (PUGNAc), 1,2-dideoxy-2'-methyl-α-D-glucopyranoso-[2,1-d]-Δ2'-thiazoline (NAG-thiazoline), and GlcNAcstatin derivatives are potent inhibitors of this enzyme, resembling the two transition states of the O-GlcNAcase catalytic reaction path. These results may be useful to rational design compounds with more interesting inhibitory activity.
Scaling IP Routing with the Core Router-Integrated Overlay (2006)

IP routing scalability is based on hierarchical routing, which requires that the IP address hierarchy be aligned with the physical topology. Both site multi-homing and switching ISPs without renumbering break this alignment, resulting in large routing tables. This paper presents CRIO: a new approach to IP scalability for both global and VPN routing. Using tunneling and virtual prefixes, CRIO decouples address hierarchy and physical topology, effectively giving ISPs the ability to trade-off routing table size for path length. Though CRIO is a new routing architecture, it works with existing data-plane router mechanisms. Through static simulation on a Rocketfuel-measured Internet topology and traffic data from a Tier 1 ISP, we show that CRIO can shrink the BGP RIB by nearly two orders of magnitude, the global FIB by one order of magnitude, and the VPN FIB by ten to twenty times, all with very little increase in overall path length.
Computational storage: an efficient and scalable platform for big data and HPC applications (2019)

Abstract In the era of big data applications, the demand for more sophisticated data centers and high-performance data processing mechanisms is increasing drastically. Data are originally stored in storage systems. To process data, application servers need to fetch them from storage devices, which imposes the cost of moving data to the system. This cost has a direct relation with the distance of processing engines from the data. This is the key motivation for the emergence of distributed processing platforms such as Hadoop, which move process closer to data. Computational storage devices (CSDs) push the “ move process to data ” paradigm to its ultimate boundaries by deploying embedded processing engines inside storage devices to process data. In this paper, we introduce Catalina, an efficient and flexible computational storage platform, that provides a seamless environment to process data in-place. Catalina is the first CSD equipped with a dedicated application processor running a full-fledged operating system that provides filesystem-level data access for the applications. Thus, a vast spectrum of applications can be ported for running on Catalina CSDs. Due to these unique features, to the best of our knowledge, Catalina CSD is the only in-storage processing platform that can be seamlessly deployed in clusters to run distributed applications such as Hadoop MapReduce and HPC applications in-place without any modifications on the underlying distributed processing framework. For the proof of concept, we build a fully functional Catalina prototype and a CSD-equipped platform using 16 Catalina CSDs to run Intel HiBench Hadoop and HPC benchmarks to investigate the benefits of deploying Catalina CSDs in the distributed processing environments. The experimental results show up to 2.2× improvement in performance and 4.3× reduction in energy consumption, respectively, for running Hadoop MapReduce benchmarks. Additionally, thanks to the Neon SIMD engines, the performance and energy efficiency of DFT algorithms are improved up to 5.4× and 8.9×, respectively.
Synthesis of hybrid Fe3O4–silica–NiO superstructures and their application as magnetically separable high-performance biocatalysts (2009)

The assembly of NiO nanoparticles at the surface of magnetic silica resulted in a hybrid superstructure which has utility as a carrier for a magnetically separable biocatalyst system.
Effects of angiotensin receptor antagonists in heart failure: Clinical and experimental aspects (1995)

In addition to inhibition of the circulating renin-angiotensin system, specific inhibition of the cardiac effects of angiotensin II (Ang II) represents an important therapeutic goal in the treatment of clinical heart failure. Subtype 1-specific Ang II receptor (AT1) antagonists have been developed to overcome potential limitations of angiotensin converting enzyme inhibitors, e.g. insufficient control of tissue Ang II production and bradykinin-related side effects. Clinical studies have demonstrated beneficial effects of AT1 antagonists. In a single-dose study, the AT1 antagonist losartan decreased the mean arterial pressure and pulmonary arterial pressure while increasing the cardiac index. Effects were dose dependent. Haemodynamic effects were greater with higher doses, but neurohormonal counter-regulation probably also increased, leading to relatively high levels of circulating Ang II with the 150-mg dose, A decrease in plasma levels of noradrenaline, atrial natriuretic factor, and aldosterone reached partial significance. Administration of multiple doses of losartan for 12 weeks also led to favourable haemodynamic and clinical results. Arterial blood pressure, pulmonary capillary wedge pressure, and systemic vascular resistance decreased. The neurohormonal effects of 12 weeks' administration of AT1 antagonists consisted in a decrease in plasma aldosterone concentrations. Whereas AT1 antagonists may counteract the effects of Ang II on the vasculature, and therefore are effective vasodilators, their direct myocardial effects are less clear. The subtype AT2, which represents the dominant, receptor in both healthy and failing human myocardium, is not blocked by AT1 inhibition. Angiotensin receptors on isolated human cardiac fibroblasts stimulate cellular proliferation via a yet undertermined receptor subtype. AT1 antagonists exert beneficial haemodynamic and neurohormonal effects in human heart failure. Their direct myocardial effects require further investigation.
Performance Benefits of R718 Turbo-Compression Cycle Using 3-Port Condensing Wave Rotors (2004)

A number of technical challenges have often hindered the economical application of refrigeration cycles using water (R718) as refrigerant. The novel concept of condensing wave rotor provides a solution for performance improvement of R718 refrigeration cycles. The wave rotor implementation can increase efficiency and reduce the size and cost of R718 units. The condensing wave rotor employs pressurized water to pressurize, desuperheat, and condense the refrigerant vapor — all in one dynamic process. In this study, the underlying phenomena of flash evaporation, shock wave compression, desuperheating, and condensation inside the wave rotor channels are described in a wave and phase-change diagram. A computer program based on a thermodynamic model is generated to evaluate the performance of R718 baseline and wave-rotor-enhanced cycles. The detailed thermodynamic approach for the baseline and the modified cycles is described. The effect of some key parameters on the performance enhancement is demonstrated as an aid for optimization. A generated performance map summarizes the findings.
Consequences of Hyperoxia and the Toxicity of Oxygen in the Lung (2011)

Oxygen (O(2)) is life essential but as a drug has a maximum positive biological benefit and accompanying toxicity effects. Oxygen is therapeutic for treatment of hypoxemia and hypoxia associated with many pathological processes. Pathophysiological processes are associated with increased levels of hyperoxia-induced reactive O(2) species (ROS) which may readily react with surrounding biological tissues, damaging lipids, proteins, and nucleic acids. Protective antioxidant defenses can become overwhelmed with ROS leading to oxidative stress. Activated alveolar capillary endothelium is characterized by increased adhesiveness causing accumulation of cell populations such as neutrophils, which are a source of ROS. Increased levels of ROS cause hyperpermeability, coagulopathy, and collagen deposition as well as other irreversible changes occurring within the alveolar space. In hyperoxia, multiple signaling pathways determine the pulmonary cellular response: apoptosis, necrosis, or repair. Understanding the effects of O(2) administration is important to prevent inadvertent alveolar damage caused by hyperoxia in patients requiring supplemental oxygenation.
Laser-locked, high-repetition-rate cavity ringdown spectrometer (2006)

We describe the design, construction, and initial performance evaluation of a high-repetition-rate cavity ringdown spectrometer. The spectrometer is based on the use of the Pound-Drever-Hall technique to lock the laser frequency to the maximum of a transmission fringe of the interferometer used as a sample cell. This results in continuous injection of light into the interferometer. The injection is repetitively interrupted with an acousto-optical modulator to generate ringdowns (exponential decays) at a typical rate of 10 kHz. Averaging of these large numbers of fitted ringdown times allows us to attain a minimum detectable absorption of 1.43×10−11 cm−1 Hz−1/2 short term and 9.0×10−11 cm−1 Hz−1/2 long term. In addition, the spectrometer has a continuous tuning capability of ∼1 cm−1, which allows the use of standard linearization and frequency calibration techniques for the spectrum. To illustrate the operation and sensitivity of the spectrometer, part of the Q-branch of a weak acetylene overtone has been recorded.
Pd-Catalyzed Electrohydrogenation of Carbon Dioxide to Formate: High Mass Activity at Low Overpotential and Identification of the Deactivation Pathway (2015)

Electrochemical reduction of CO2 to formate (HCO2(-)) powered by renewable electricity is a possible carbon-negative alternative to synthesizing formate from fossil fuels. This process is energetically inefficient because >1 V of overpotential is required for CO2 reduction to HCO2(-) on the metals currently used as cathodic catalysts. Pd reduces CO2 to HCO2(-) with no overpotential, but this activity has previously been limited to low synthesis rates and plagued by an unidentified deactivation pathway. Here we show that Pd nanoparticles dispersed on a carbon support reach high mass activities (50-80 mA HCO2(-) synthesis per mg Pd) when driven by less than 200 mV of overpotential in aqueous bicarbonate solutions. Electrokinetic measurements are consistent with a mechanism in which the rate-determining step is the addition of electrochemically generated surface adsorbed hydrogen to CO2 (i.e., electrohydrogenation). The electrodes deactivate over the course of several hours because of a minor pathway that forms CO. Activity is recovered, however, by removing CO with brief air exposure.
A machine learning algorithm for identifying and tracking bacteria in three dimensions using Digital Holographic Microscopy (2018)

Digital Holographic Microscopy (DHM) is an emerging technique for three-dimensional imaging of microorganisms due to its high throughput and large depth of field relative to traditional microscopy techniques. While it has shown substantial success for use with eukaryotes, it has proven challenging for bacterial imaging because of low contrast and sources of noise intrinsic to the method (e.g. laser speckle). This paper describes a custom written MATLAB routine using machine-learning algorithms to obtain three-dimensional trajectories of live, lab-grown bacteria as they move within an essentially unrestrained environment with more than 90% precision. A fully annotated version of the software used in this work is available for public use.
Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification (2014)

We propose Adaptive Recursive Neural Network (AdaRNN) for target-dependent Twitter sentiment classification. AdaRNN adaptively propagates the sentiments of words to target depending on the context and syntactic relationships between them. It consists of more than one composition functions, and we model the adaptive sentiment propagations as distributions over these composition functions. The experimental studies illustrate that AdaRNN improves the baseline methods. Furthermore, we introduce a manually annotated dataset for target-dependent Twitter sentiment analysis.
Synthesis and structural characterization of [PhE(BNMe<sub>2</sub>)<sub>2</sub>]<sub>2</sub> (E = P or As): Six‐Membered P<sub>2</sub>B<sub>4</sub> and As<sub>2</sub>B<sub>4</sub> Rings with Unusual Structures (1995)

Abstract The reaction of either Li 2 PPh or Li 2 AsPh with the diborane(4) derivative B 2 (NMe 2 ) 2 Br 2 affords the compounds [PhP(BNMe 2 ) 2 ] 2 ( 1 ) or [PhAs(BNMe 2 ) 2 ] 2 ( 2 ) in good yield. Both 1 and 2 have cyclic structures featuring non‐planar P 2 B 4 or As 2 B 4 six‐membered rings which have chair configurations. Although all four borons in each ring have planar coordination, the two phosphorus or arsenic centers have different degrees of pyramidalization. Bond distances within the rings indicate that the BB, BP or BAs bonds are single, whereas the exo‐BN bond lengths are consistent with significant π‐bonding. The ring structures of 1 and 2 are in sharp contrast to the related boron‐nitrogen species (t‐BuN) 2 N 4 Me 4 which has a nido‐N 2 B 4 framework. The attempted synthesis of the nitrogen analogue of 1 or 2 by using a similar approach did not result in the isolation of [PhN(BNMe 2 ) 2 ] 2 , instead the tetramino diborane(4) species [B(NMe 2 )NHPh] 2 ( 3 ), which has a structure similar to other tetramine diborane(4) compounds, was isolated.
CONTROLE DE CONSTITUCIONALIDADE DIFUSO. UMA BREVE ANÁLISE (2011)

Neste trabalho estudamos a feicao atual do controle de constitucionalidade difuso no Brasil, em um breve quadro comparativo com o direito americano. Com a obsolescencia da dicotomia do sistema de controle de constitucionalidade: americano (difuso) x europeu (concentrado), as caracteristicas dos sistemas confundem-se, em prol do principio da eficiencia. Uma breve analise do panorama jurisprudencial atual do Supremo Tribunal Federal demonstra essa evolucao.
CFN-dyncast: Load Balancing the Edges via the Network (2021)

Multi-access Edge Computing (MEC) is a promising business paradigm in the 5G network. The principle "the nearest is the best" may not apply in some cases. How to break the boundaries among individual MEC sites and leverage the computing resources as an integrity, is the key to improve the user experience and improve the usage efficiency of computing and network resources. This paper proposes CFN-dyncast, a distributed technique that dispatches clients' demands to an optimal site according to the load of each computing site and the network status. This paper also introduces the related design considerations, the implementation and the evaluation comparing to other load balancing techniques.
7kW GaN W-band transmitter (2016)

Recent advances in high power millimeter wave (mmW) Gallium Nitride (GaN) technology has enabled the development of a high power solid state W-band transmitter with an unprecedented 7kW Continuous Wave (CW) output power. The transmitter coherently sums a total of 8,192 1W+ GaN Power Amplifier (PA) Monolithic Microwave Integrated Circuits (MMICs) using spatial combining. This accomplishment represents a two-orders-of-magnitude improvement in W-band solid state power generation over previously published results.
Reservoir Characterization, Fracture Mapping, and Well Placement Using a Suite of Logging-While-Drilling Images with Multiple Resolutions in a Marginal, Middle East Carbonate Reservoir (2011)

Abstract In a low-permeability Middle East carbonate reservoir, geologists, petrophysicists, and reservoir and drilling engineers had multiple requirements to optimally place the well, characterize and model fractures and faults, and evaluate the petrophysical attributes and cutoffs of the formation. A suite of logging-while-drilling (LWD) sensors was combined into a single bottomhole assembly (BHA) with the objective of acquiring the information needed to update the static model. An integrated study was then performed using production logs, which led to an improved dynamic model within this sector of the reservoir. An additional objective was to evaluate the contribution from each sensor for future applications in this field, or in similar fields. Based on this assessment, a workflow was agreed upon for optimizing the petrophysical data acquisition program and conveyance methods. From a scientific point of view, the comparison of the various logs and images helped to better understand the response of the various sensor measurements for this particular field.
Unravelling the genetic bases of non‐target‐site‐based resistance (NTSR) to herbicides: a major challenge for weed science in the forthcoming decade (2012)

Non-target-site-based resistance (NTSR) can confer unpredictable cross-resistance to herbicides. However, the genetic determinants of NTSR remain poorly known. The current, urgent challenge for weed scientists is thus to elucidate the bases of NTSR so that detection tools are developed, the evolution of NTSR is understood, the efficacy of the shrinking herbicide portfolio is maintained and integrated weed management strategies, including fully effective herbicide applications, are designed and implemented. In this paper, the importance of NTSR in resistance to herbicides is underlined. The most likely way in which NTSR evolves-by accumulation of different mechanisms within individual plants-is described. The NTSR mechanisms, which can interfere with herbicide penetration, translocation and accumulation at the target site, and/or protect the plant against the consequences of herbicide action, are then reviewed. NTSR is a part of the plant stress response. As such, NTSR is a dynamic process unrolling over time that involves 'protectors' directly interfering with herbicide action, and also regulators controlling 'protector' expression. NTSR is thus a quantitative trait. On this basis, a three-step procedure is proposed, based on the use of the 'omics' (genomics, transcriptomics, proteomics or metabolomics), to unravel the genetic bases of NTSR.
Termogênicos: uma revisão sistemática sobre o uso de óleo de coco, óleo de cártamo e CLA (2014)

Introduction and objectives: We performed a systematic review, with the aim of identifying the main evidence of the use of coconut oil, safflower oil and conjugated linoleic acid in reducing body fat. Materials and methods: The study included only the results of meta-analyzes, clinical trials, case-control studies and case series conducted in humans, published in the last 10 years. Results: The evidences showed that supplementation with conjugated linoleic acid or safflower oil in addition to promoting thermogenic action, provided changes in anthropometric parameters in most studies, with significant reduction in weight, BMI and body fat. Discussion: The results were more evident in studies that combined supplementation with diet and regular physical exercise, which puts in doubt the action of these supplements. No evidence was found that ensure that coconut oil decrease body fat. Conclusion: Depending on the findings of dubious character of these oils supplementation, the differences in methods used in the studies and the lack of mechanisms involved in the results, it is concluded that this type of supplementation has no effect on body fat reduction, necessitating a greater number of studies that prove their efficiency and safety.