gebhart/patrepeval huggingface dataset:
DepMap: Dependency Mapping of Applications Using Operating System Events (2010)

Applications are increasingly hosted on shared, heterogeneous distributed systems. Web applications and “cloud” computing are broad examples of this, but even relatively isolated servers often depend on shared, network-accessible resources. This standardization around service layers abstracts aspects of service delivery, but often entails a large collection of component systems. The complexity that is abstracted from a functional perspective can give rise to runtime issues. Critical issues arising out of this model include resource utilization (sizing, capacity testing, resource monitoring) and dependency management (identifying and monitoring dependencies between components and potential for impact to an application). This thesis presents an automated solution called DepMap for identifying and monitoring file, network and other communication dependencies in applications by analysis of low-level operating system activity. This work is applicable to resource utilization, diagnosis of performance issues, characterization of workloads, and systems management. This thesis discusses DepMap’s requirements, design and implementation, and evaluates the effectiveness and performance on simulated and actual applications. DepMap can be used to create models of system behavior, based both on observations over time and on injection of delays into selected system operations to understand impact to the larger system. When applied to two commercial systems DepMap was able to identify changing dependencies, and to characterize the behavior of network and storage dependencies. On a cluster of systems hosting a web application, DepMap showed unexpected variation in network transmission time between peers in the cluster, and helped to uncover large jumps in system clock times arising from unreliable Network Time Protocol (NTP) services. On a database server that processes hundreds of gigabytes of data each day, DepMap was able to characterize I/O workload to storage connected by Fiber Channel and iSCSI. This work showed that serious performance limitations existed in the storage server due to fragmentation, design assumptions poorly suited to a data warehouse workload, and competition from other storage consumers. This information was used to design and validate a new server/storage platform specifically for this workload. The insight gained by using DepMap in this case has provided dramatically improved performance (10-15x faster throughput for some relevant workloads) and large cost savings relative to other options.
Dipsticks with Reflectometric Readout of an NIR Dye for Determination of Biogenic Amines (2020)

Electrospun nanofibers (ENFs) are remarkable analytical tools for quantitative analysis since they are inexpensive, easily produced in uniform homogenous mats, and provide a high surface area-to-volume ratio. Taking advantage of these characteristics, a near-infrared (NIR)-dye was doped as chemosensor into ENFs of about 500 nm in diameter electrospun into 50 µm thick mats on indium tin oxide (ITO) supports. The mats were made of cellulose acetate (CA) and used as a sensor layer on optical dipsticks for the determination of biogenic amines (BAs) in food. The ENFs contained the chromogenic amine-reactive chameleon dye S0378 which is green and turns blue upon formation of a dye-BA conjugate. This SN1-reaction of the S0378 dye with various BAs was monitored by reflectance measurements at 635 nm where the intrinsic absorption of biological material is low. The difference of the reflectance before and after the reaction is proportional to BA levels from 0.04–1 mM. The LODs are in the range from 0.03–0.09 mM, concentrations that can induce food poisoning but are not recognized by the human nose. The calibration plots of histamine, putrescine, spermidine, and tyramine are very similar and suggesting the use of the dipsticks to monitor the total sample BA content. Furthermore, the dipsticks are selective to primary amines (both mono- and diamines) and show low interference towards most nucleophiles. A minute interference of proteins in real samples can be overcome by appropriate sample pretreatment. Hence, the ageing of seafood samples could be monitored via their total BA content which rose up to 21.7 ± 3.2 µmol/g over six days of storage. This demonstrates that optically doped NFs represent viable sensor and transducer materials for food analysis with dipsticks.
Acadesine: the prototype adenosine regulating agent for reducing myocardial ischaemic injury (1993)

Acadesine is the prototype of a new class of therapeutic compounds termed adenosine regulating agents. Acadesine is pharmacologically silent in normal circumstances, but its activity becomes operative during situations of net ATP catabolism, when it increases local adenosine levels. Thus acadesine is able to harness the beneficial effects of this protective autacoid without the limiting side effects associated with using adenosine itself or an adenosine mimetic or transport inhibitor. The demonstrated efficacy of acadesine in various models of myocardial ischaemia and the preliminary clinical results 48 indicate that acadesine and other ARAs could represent important new additions to the cardiologist's armamentarium to combat myocardial ischaemia and its sequelae.
Development of unmanned surface vehicle for water quality monitoring and measurement (2018)

Water qualities management for the water reservoir are becoming unprecedentedly more important due rapid growth of populations and high tech industries, furthermore, recent climate change also play an important role into this problem. Regular water inspection and sample collection could help significantly in management of water resources also the distribution of water. Even though the testing of water is mostly done by the senor station in water reservoir automatically, but only small number of the station are installed in the reservoir, hence the “resolution” is not enough for modern day uses. Apart from the resolution, the state of the art water management uses the results of water measurement (sample collected by inspector) for further decision making. Such method is accurate but lack of real time information which leads to slow in the response when pollution or after natural disaster. In order to solve these problem, many researcher has start to uses Internet of Thing (IoT) concept sensors, however, the cost is still high, as well as that many water reservoir did not have mobile phone signal coverage. Hence, this paper propose and development of Unmanned Surface Vehicle (USV) which carry a mobile water quality sensor to perform a real time scan of water qualities. Secondly, due to no mobile signal coverage, development will also include the communication relay via UAV.
Reminiscing Prof. Akira Nabae's Successful Voyage from the Mercury Era to the Silicon Age [In Memoriam] (2021)

Recounts the career and contributions on Akira Nabae.
Analyse et conception d’antennes très large bande en utilisant la théorie des modes caractéristiques (2013)

A planar extremely-wide-band antenna is designed and simulated. The proposed antenna is a printed elliptical slotted monopole antenna with a triangular ground plane, fed by semi-ring triple feed followed by a tapered CPW line. The frequencies covered for a VSWR ≤ 2 extends from 0.65 GHz to 12 GHz with stable radiation patterns to guarantee minimal pulse distortion. This configuration has been achieved by analyzing the currents on the antenna by means the characteristic mode theory. Both numerical and experimental results are presented. This miniaturized antenna (largest dimensions of the order of 0.14 λ) is a good candidate for wide band spectrum sensing in the context of cognitive radio applications.
Balancing Panchromatic Absorption and Multistep Charge Separation in a Compact Molecular Architecture (2022)

A panchromatic triad and a charge-separation unit are joined in a crossbar architecture to capture solar energy. The panchromatic-absorber triad (T) is comprised of a central free-base porphyrin that is strongly coupled <i>via</i> direct ethyne linkages to two perylene-monoimide (PMI) groups. The charge-separation unit incorporates a free-base or zinc chlorin (C or ZnC) as a hole acceptor (or electron donor) and a perylene-diimide (PDI) as an electron acceptor, both attached to the porphyrin <i>via</i> diphenylethyne linkers. The free-base porphyrin is common to both light-harvesting and charge-separation motifs. The chlorin and PDI also function as ancillary light absorbers, complementing direct excitation of the panchromatic triad to produce the discrete lowest excited state of the array (T*). Attainment of full charge separation across the pentad entails two steps: (1) an initial excited-state hole/electron-transfer process to oxidize the chlorin (and reduce the panchromatic triad) or reduce the PDI (and oxidize the panchromatic triad); and (2) subsequent ground-state electron/hole migration to produce oxidized chlorin and reduced PDI. Full charge separation for pentad <b>ZnC-T-PDI</b> to generate ZnC<sup>+</sup>-T-PDI<sup>-</sup> occurs with a quantum yield of ∼30% and mean lifetime ∼1 μs in dimethyl sulfoxide. For <b>C-T-PDI</b>, initial charge separation is followed by rapid charge recombination. The molecular designs and studies reported here reveal the challenges of balancing the demands for charge separation (linker length and composition, excited-state energies, redox potentials, and medium polarity) with the constraints for panchromatic absorption (strong electronic coupling of the porphyrin and two PMI units) for integrated function in solar-energy conversion.
High-Tc Y-Ba-Cu-O Thin Films Prepared by Dual Magnetron Sputtering (1987)

Y-Ba-Cu-O thin films (200-300 nm thick) have been magnetron-sputtered on heated sapphire substrates. By means of dual sputtering configuration with a Cu and sintered Y-Ba-Cu-O target, films having compositions closer to Y 1 Ba 2 Cu 3 O y are reproducibly obtained at a substrate temperature of about 600°C. They have a nearly single-phase perovskite-like structure with highly c -axis preferred orientation and show a T c onset of 90 K. Remarkable improvement in the zero resistivity temperature (up to 73 K) is achieved by subsequent annealing of these films at 550-650°C, while annealing at higher temperatures leads to T c degradation.
Comparação entre BNP e NT-proBNP quanto à concordância e quanto à influência das variáveis clínicas e laboratoriais (2013)

There was satisfactory agreement between the B type natriuretic peptide and the N-terminal fraction of the pro-B type natriuretic peptide. Age, creatinine levels, and hemoglobin, as well as ventricular function, influence the serum levels of both natriuretic peptides.
Invariant object recognition using eigenvalues of covariance matrices and autocorrelation (2007)

This paper presents a new boundary-based part recognition method for two-dimensional part. The proposed method adopts the eigenvalues of covariance matrix, re-sampling and transformation of autocorrelation coefficient for feature extraction and the simple minimum Euclidean distance for object classification. The boundary of the binary digital object is represented into the form of the eigenvalues of covariance matrix over a given region of support, and then is further transformed with autocorrelation function. The derived features are unique and invariant to translation, rotation, and scaling. Finally, the minimum Euclidean distance is used for pattern recognition for simplicity. Twenty-five standard patterns are acquired, and for each object ten extra images using different positions, orientation and scales are digitized for system verification. The experimental results show that the proposed system achieves the high recognition rate.
Visual saliency model for robot cameras (2008)

Recent years have seen an explosion of research on the computational modeling of human visual attention in task free conditions, i.e., given an image predict where humans are likely to look. This area of research could potentially provide general purpose mechanisms for robots to orient their cameras. One difficulty is that most current models of visual saliency are computationally very expensive and not suited to real time implementations needed for robotic applications. Here we propose a fast approximation to a Bayesian model of visual saliency recently proposed in the literature. The approximation can run in real time on current computers at very little computational cost, leaving plenty of CPU cycles for other tasks. We empirically evaluate the saliency model in the domain of controlling saccades of a camera in social robotics situations. The goal was to orient a camera as quickly as possible toward human faces. We found that this simple general purpose saliency model doubled the success rate of the camera: it captured images of people 70% of the time, when compared to a 35% success rate when the camera was controlled using an open-loop scheme. After 3 saccades (camera movements), the robot was 96% likely to capture at least one person. The results suggest that visual saliency models may provide a useful front end for camera control in robotics applications.
Clinicopathologic Significance of Gastric Adenocarcinoma with Neuroendocrine Features (2011)

Positive NEF status might be correlated with clinicopathologic parameters such as a high stage and high frequency of regional lymph node metastasis.
Sequence of the gene encoding flavocytochrome c from Shewanella putrefaciens: a tetraheme flavoenzyme that is a soluble fumarate reductase related to the membrane-bound enzymes from other bacteria (1992)

Flavocytochrome c from the Gram-negative, food-spoiling bacterium Shewanella putrefaciens is a soluble, periplasmic fumarate reductase. We have isolated the gene encoding flavocytochrome c and determined the complete DNA sequence. The predicted amino acid sequence indicates that flavocytochrome c is synthesized with an N-terminal secretory signal sequence of 25 amino acid residues. The mature protein contains 571 amino acid residues and consists of an N-terminal cytochrome domain, of about 117 residues, with four heme attachment sites typical of c-type cytochromes and a C-terminal flavoprotein domain of about 454 residues that is clearly related to the flavoprotein subunits of fumarate reductases and succinate dehydrogenases from bacterial and other sources. A second reading frame that may be cotranscribed with the flavocytochrome c gene exhibits some similarity with the 13-kDa membrane anchor subunit of Escherichia coli fumarate reductase. The sequence of the flavoprotein domain demonstrates an even closer relationship with the product of the yeast OSM1 gene, mutations in which result in sensitivity to high osmolarity. These findings are discussed in relation to the function of flavocytochrome c.
Variation in Epidermal Housekeeping Gene Expression in Different Pathological States (2000)

Using non-radioactive in situ hybridization we studied the expression of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and PolyA+ RNA in psoriasis and normal skin, and GAPDH in epidermis following application of a range of noxious stimuli, including ultraviolet radiation, Sellotape stripping and various irritants. In keeping with what might have been expected from previous results on cell culture of various non-epidermal cell types, expression of these putative control gene products is not constant. We suggest that the use of GAPDH, and possibly other control genes, may lead to error in interpreting experiments using Northern blotting or even RT-PCR of epidermal samples.
A Data-Science Approach for Creation of a Comprehensive Model to Assess the Impact of Mobile Technologies on Humans (2023)

Mobile technologies are an essential part of people’s everyday lives since they are utilized for a variety of purposes, such as communication, entertainment, commerce, and education. However, when these gadgets are misused, the human body is exposed to continuous radiation from the electromagnetic field created by them. The communication services available are improving as mobile technologies advance; however, the problem is becoming more severe as the frequency range of mobile devices expands. To solve this complex case, it is necessary to propose a comprehensive approach that combines and processes data obtained from different types of research and sources of information, such as thermal imaging, electroencephalograms, computer models, and surveys. In the present article, a complex model for the processing and analysis of heterogeneous data is proposed based on mathematical and statistical methods in order to study the problem of electromagnetic radiation from mobile devices in-depth. Data science selection/preprocessing is one of the most important aspects of data and knowledge processing aiming at successful and effective analysis and data fusion from many sources. Special types of logic-based binding and pointing constraints are considered for data/knowledge selection applications. The proposed logic-based statistical modeling method provides both algorithmic as well as data-driven realizations that can be evolutionary. As a result, non-anticipated and collateral data/features can be processed if their role in the selected/constrained area is significant. In this research, the data-driven part does not use artificial neural networks; however, this combination was successfully applied in the past. It is an independent subsystem maintaining control of both the statistical and machine-learning parts. The proposed modeling applies to a wide range of reasoning/smart systems.
Exergetic evaluation of methods for improving power generation efficiency of a gas turbine cogeneration system (1997)

A cogeneration system generating both heat and power for district heating and cooling is required to be more efficient to improve its economy. In this paper, three typical methods for improving the power generation efficiency of a gas turbine cogeneration system are evaluated by examining exergy flow at various points of the system. The three methods investigated are: (a) to raise turbine inlet temperature, (b) to incorporate a regenerative cycle, and (c) to introduce a dual-fluid cycle. Exergy flows at various points of each cogeneration system have been evaluated. It has been shown through quantitve analyses of exergy flows (1) what kind of energy loss of the system can be reduced by introducing each efficiency-improving method, (2) that the method of incorporating a regenerative cycle is highly useful in improving exergy efficiency of the cogeneration system. © 1997 by John Wiley & Sons, Ltd.
Comparison of phenotypical and molecular methods for the identification of bacterial strains isolated from a deep subsurface environment (1995)

Vol. 61, no. 9, p. 3406: the Acknowledgments should read as follows. "This work was supported by the CNRS and by grants of the European Community and ANDRA as part of the project Archimede-Argiles and of the Direction de la Recherche et des Etudes Doctorales. V.B. was a recipient of a CIFRE fellowship." [This corrects the article on p. 3400 in vol. 61.].
High frequency of antiviral drug resistance and non‐b subtypes in HIV‐1 patients failing antiviral therapy in Cuba (2014)

Our study found a high prevalence of drug resistance and supports the need for appropriate laboratory monitoring in clinical practice and access to drug options in case of virological failure.
Management of end-stage heart failure: improving palliative care. (2007)

As a result of the aging Canadian population and improved heart failure management, more than 400,000 Canadians are currently living with heart failure. Despite recent advances in medical management, no cure exists and the annual mortality rate for heart failure remains as high as 40%. Research suggests that end-stage heart failure patients suffer to a degree that is equivalent to, or greater than that of terminal cancer patients. However, they do not receive the same degree of end-of-life care. This article discusses current issues related to the classification system, the lack of prognostic markers, and medical management of the end-stage heart failure patient, which act as barriers to implementing palliative care. Possible solutions to facilitate the effective and timely transition to palliative care, and achieve the goal of a peaceful death for the patient with end-stage heart failure are also discussed.
Enhanced Oceanic Operations Human-In-The- Loop In-Trail Procedure Validation Simulation Study (2008)

The Enhanced Oceanic Operations Human-In-The-Loop In-Trail Procedure (ITP) Validation Simulation Study investigated the viability of an ITP designed to enable oceanic flight level changes that would not otherwise be possible. Twelve commercial airline pilots with current oceanic experience flew a series of simulated scenarios involving either standard or ITP flight level change maneuvers and provided subjective workload ratings, assessments of ITP validity and acceptability, and objective performance measures associated with the appropriate selection, request, and execution of ITP flight level change maneuvers. In the majority of scenarios, subject pilots correctly assessed the traffic situation, selected an appropriate response (i.e., either a standard flight level change request, an ITP request, or no request), and executed their selected flight level change procedure, if any, without error. Workload ratings for ITP maneuvers were acceptable and not substantially higher than for standard flight level change maneuvers, and, for the majority of scenarios and subject pilots, subjective acceptability ratings and comments for ITP were generally high and positive. Qualitatively, the ITP was found to be valid and acceptable. However, the error rates for ITP maneuvers were higher than for standard flight level changes, and these errors may have design implications for both the ITP and the study's prototype traffic display. These errors and their implications are discussed.
Commutative Lie Group VAE for Disentanglement Learning (2021)

We view disentanglement learning as discovering an underlying structure that equivariantly reflects the factorized variations shown in data. Traditionally, such a structure is fixed to be a vector space with data variations represented by translations along individual latent dimensions. We argue this simple structure is suboptimal since it requires the model to learn to discard the properties (e.g. different scales of changes, different levels of abstractness) of data variations, which is an extra work than equivariance learning. Instead, we propose to encode the data variations with groups, a structure not only can equivariantly represent variations, but can also be adaptively optimized to preserve the properties of data variations. Considering it is hard to conduct training on group structures, we focus on Lie groups and adopt a parameterization using Lie algebra. Based on the parameterization, some disentanglement learning constraints are naturally derived. A simple model named Commutative Lie Group VAE is introduced to realize the group-based disentanglement learning. Experiments show that our model can effectively learn disentangled representations without supervision, and can achieve state-of-the-art performance without extra constraints.