gebhart/patrepeval huggingface dataset:
Workspace Awareness without Overload: Contextual Filtering of Social Interactions (2009)

At a time when social media revolutionize the exchange of information between users of the Web 2.0, many enterprises are still applying older collaboration paradigms. Following the explosion of blogs and social sharing services on the Internet, some companies are beginning to catch up with these trends, but not all employees are familiar with these new practices which require manual contribution, even though they became usual for Web 2.0 users. Inspired from previous works and currents trends in Social Networking and Context-Awareness, we propose the iterative development of an experimental framework for contextual sharing and filtering of social updates. The intension is to trigger more opportunities for communication in a collaborative environment, while preventing information overload. In this paper, we present some preliminary results on synthetizing contextual clouds reflecting current working activity of users, based on the extraction of descriptive tags from web documents that they are currently accessing.
New Feature Vector for Image Retrieval: Sum of Value of Histogram Bins (2009)

The large amount of image collections available from a variety of sources have posed increasing technical challenges to computer systems to store/transmit and index/manage the image data to make such collections easily accessible. Here to search and retrieve the expected images from the database we need Content Based Image Retrieval (CBIR) system. CBIR extracts the features of query image and try to match them with the extracted features of images in the database. Then based on the similarity measures and threshold the best possible candidate matches are given as result. This paper describe a novel & effective approach to content based image retrieval that represent each image in database by a vector of feature values called ¿New Feature Vector for Image Retrieval :Sum of Value of Histogram Bins¿. Proposed method is a simple and new which can be easily implemented in a programming language. In this technique sum of value of equalized histogram bins used as a feature vector of image. This classifier is well suitable for features extracted and fast in computation for CBIR systems. Simple Euclidean Distance used to compute the similarity measures of images for Content Based Image Retrieval application. This technique gives acceptable results in a simple and fast way.
Ada Nisbet's "Dickens and Ellen Ternan" (1953)

Book Review| March 01 1953 Ada Nisbet's "Dickens and Ellen Ternan" Dickens and Ellen Ternan.Ada Nisbet Edgar Johnson Edgar Johnson Search for other works by this author on: This Site PubMed Google Scholar Nineteenth-Century Fiction (1953) 7 (4): 296–298. https://doi.org/10.2307/3044237 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Edgar Johnson; Ada Nisbet's "Dickens and Ellen Ternan". Nineteenth-Century Fiction 1 March 1953; 7 (4): 296–298. doi: https://doi.org/10.2307/3044237 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 ContentNineteenth-Century Literature Search This content is only available via PDF. Article PDF first page preview Close Modal You do not currently have access to this content.
Two-Stage Privacy-Preserving Mechanism for a Crowdsensing-Based VSN (2018)

Vehicular social networks (VSNs) are moving from infancy to maturity. However, the characteristics of wireless channel availability and the high mobility of vehicles in the VSNs create new challenges for privacy preservation; the corresponding solutions require a combination of technologies. A common theme in this paper is the combination of crowdsensing (CS) and the VSNs. We first design a three-layer CS-based VSN architecture that includes a CS layer, mobile management layer, and core control layer. Then, we propose a two-stage privacy-preserving (TSPP) algorithm to protect identity and location privacy for the CS-based VSN. In TSPP algorithm, to protect identity privacy, we design a way of identity management. Simultaneously, by correlation analysis, we design a suppression strategy to satisfy <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon $ </tex-math></inline-formula> -privacy with no information loss for location privacy protection. The simulation results show that our proposed TSPP algorithm better protects identity and location privacy than current algorithms. The results are based on four metrics: average processing time, identity privacy, location privacy, and information loss.
The Design of a New Flow Meter for Pipes Based on the Drag Force Exerted on a Cylinder in Cross Flow (Drag Force Flow Meter: DFFM) (2004)

It is shown how to design a new method (DFFM) of flow metering in pipes from basic principles. The method relies on the well known drag force on a cylindrical body and the force measurement by a load cell. The drag force is exclusively measured in the axial flow direction, the only one that contributes to the flow rate. That way disturbing tangential swirl components which do not contribute remain unconsidered. By means of an upstream screen the meter is desensitized to disturbing axial velocity profile distortions. Testing with various installations demonstrates the main features and the error bar to be expected.
A Floating Backbone for Internet over the Ocean (2008)

Satellite-based Internet access, the preferred solution for remote locations on the ocean, either offers a low-bandwidth connection or is very expensive to deploy. A backbone structure that provides ocean-wide Internet coverage could provide an alternative to satellite uplinks. With a wide-area network forming a mesh of nodes using floating and moving objects as well as coastal facilities, the network would use next-generation long-range surface radio technology to provide medium- to high-bandwidth Internet access. To achieve high-bandwidth Internet access under these circumstances, the backbone must leverage state-of-the-art sensor network technology, autonomous routing mechanisms, and self-organizing abilities.
Prevention of Pressure Ulcers in the Surgical Patient (2009)

Pressure ulcers (PUs) are a serious health care problem, and it is crucial to assess how patients acquire pressure ulcers after admission to a health care facility. In the OR, factors related to positioning, anesthesia, and the duration of surgery, in addition to patient-related factors, all can affect PU development. This article reviews current practices, including AORN recommended practices, regarding pressure ulcer prevention efforts for surgical patients. All surgical patients should be considered at-risk for pressure ulcer development; therefore, perioperative departments should develop and implement strategic plans for pressure ulcer prevention.
Tips and traps analyzing pediatric PK data (2011)

Pharmacokinetic (PK) and pharmacodynamic (PD) modeling has elucidated aspects of developmental pharmacology of value to the anesthetic community. The increasing sophistication of modeling techniques is associated with pitfalls that may not be readily apparent to readers or investigators. While size and age are considered primary covariates for PK models, the impact of birth on clearance maturation is poorly documented, dose in obese children is poorly investigated, pharmacologic implications of physiologic changes poorly portrayed, disease progression on drug response poorly depicted and the impact of metabolites on effect poorly illustrated. This review identifies some of these pitfalls and suggests ideas to circumvent or investigate these hazards.
Troponin targets cardiac injury (2007)

In Brief Biomarkers have a role in diagnosis, prognosis, and intervention. Troponin is currently the selected biomarker for detection of cardiac injury.
Excitation signal's influence on ultrasonic transit time flow meter's performance (2012)

Ultrasonic flow meter performance was analyzed. Ultrasound transit time was used for flow rate estimation. Time of flight was measured using cross correlation processing. Simultaneous channels excitation was used. Ultrasonic signals were excited using low voltage (4V pp) signal generator, received signals were amplified 30 dB and simultaneously acquired by 100 Ms/s 10 bit analog-to-digit converters. Subsample delay estimation was used. Flow rate was varied from 10 l/h to 200 l/h. Measurement channel diameter 8 mm was used. It is complicated to obtain the unbiased reference signal for correlation processing. Various combinations of signals travelling in measurement channel were used for cross-correlation processing. Performance of correlation function and time of flight estimator variance were studied. Variable gain amplifier usually is used for signal dynamic range matching to A/D converter input. Gain influence on time of flight was a subject to study. It has been concluded that gain control introduces systematic errors in time of flight estimator. Influence of the temperature of electronics (pulser, receiver, A/D converter, reference clock etc.) and ultrasonic transducers on the delay estimator was studied. It was concluded that the major temperature-related systematic error comes from the pulser. Performance of the meter was studied when narrowband and spread spectrum signals were used for ultrasound excitation across temperature and flow rate range. It has been concluded that spread spectrum signal allows for better zero flow stability over temperature and lower time of flight variation.
Millimeter-wave GaAs distributed IMPATT diodes (1983)

Millimeter-wave oscillations were obtained in distributed GaAs IMPATT diodes prepared by molecular beam epitaxy (MBE). Both single-drift-region and double-drift-region structures were used to fabricate various length devices, up to 1.25 mm, to investigate oscillation frequency dependence on device length. Output power levels of 1.5 and 0.5 W were obtained at 22 and 50 GHz, respectively, using 500-ns pulses. The highest frequency of oscillation observed was 89 GHz.
BIRDS OF THE PIÑON ASSOCIATION OF THE KAWICH MOUNTAINS, NEVADA (1956)

(Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
Finite Element Mesh Generation (2014)

Highlights the Progression of Meshing Technologies and Their ApplicationsFinite Element Mesh Generation provides a concise and comprehensive guide to the application of finite element mesh generation over 2D domains, curved surfaces, and 3D space. Organised according to the geometry and dimension of the problem domains, it develops from the basic m
Selective Keyframe Summarisation for Egocentric Videos Based on Semantic Concept Search (2018)

Large volumes of egocentric video data are being continually collected every day. While the standard video summarisation approach offers all-purpose summaries, here we propose a method for selective video summarisation. The user can query the video with an unlimited vocabulary of terms. The result is a time-tagged summary of keyframes related to the query concept. Our method uses a pre-trained Convolutional Neural Network (CNN) for the semantic search, and visualises the generated summary as a compass. Two commonly used datasets were chosen for the evaluation: UTEgo egocentric video and EDUB lifelog.
Fingerprint Segmentation Algorithms: A Literature Review (2014)

Fingerprint image segmentation is part of pre-processing in fingerprint image recognition system. It has a critical effect to the fingerprint image recognition system. This paper review the different algorithms particularly used for fingerprint segmentation. Adaptive Total Variation Model, Directional Total Variation Model, method based on combination of ridge orientation and frequency features, method based on orientation field information combined with statistical characteristics of gray, Ridge Template Correlation, method using three pixel features(being the coherence, the mean and the variance) are discussed and compared based on their performance and concluded that Adaptive Total Variation Model and Directional Total Variation Model provides better results, so it will be good for the field of researches.
A learning framework for online class imbalance learning (2013)

Online learning has been showing to be very useful for a large number of applications in which data arrive continuously and a timely response is required. In many online cases, the data stream can have very skewed class distributions, known as class imbalance, such as fault diagnosis of realtime control monitoring systems and intrusion detection in computer networks. Classifying imbalanced data streams poses new challenges, which have attracted very little attention so far. As the first work that formally addresses this problem, this paper looks into the underlying issues, clarifies the research questions, and proposes a framework for online class imbalance learning that decomposes the learning task into three modules. Within the framework, we use a time decay function to capture the imbalance rate dynamically. Then, we propose a class imbalance detection method, in order to decide the current imbalance status in data streams. According to this information, two resampling-based online learning algorithms are developed to tackle class imbalance in data streams. Three basic types of class imbalance change are discussed in our studies. The results suggest the usefulness of the learning framework. The proposed methods are shown to be effective on both minority-class accuracy and overall performance in all three cases we considered.
Size and Growth Rate of Sporadic Vestibular Schwannoma: Predictive Value of Information Available at Presentation (2005)

The study represents a typical spectrum of patient ages and is of sufficient size in view of the distribution pattern of the variables to give a calculated statistical power in excess of 90% for each variable. This indicates that the clinical features available at presentation and diagnosis have no power to predict the expected behavior of sporadic vestibular schwannoma.
Search Heuristics, Case-based Reasoning And Software Project Effort Prediction (2002)

This paper reports on the use of search techniques to help optimise a case-based reasoning (CBR) system for predicting software project effort. A major problem, common to ML techniques in general, has been dealing with large numbers of case features, some of which can hinder the prediction process. Unfortunately searching for the optimal feature subset is a combinatorial problem and therefore NP-hard. This paper examines the use of random searching, hill climbing and forward sequential selection (FSS) to tackle this problem. Results from examining a set of real software project data show that even random searching was better than using all available for features (average error 35.6% rather than 50.8%). Hill climbing and FSS both produced results substantially better than the random search (15.3 and 13.1% respectively), but FSS was more computationally efficient. Providing a description of the fitness landscape of a problem along with search results is a step towards the classification of search problems and their assignment to optimum search techniques. This paper attempts to describe the fitness landscape of this problem by combining the results from random searches and hill climbing, as well as using multi-dimensional scaling to aid visualisation. Amongst other findings, the visualisation results suggest that some form of heuristic-based initialisation might prove useful for this problem.
A novel means for cryopreservation of germplasm of the recalcitrant-seeded species, Ekebergia capensis. (2011)

Cryopreserved zygotic embryonic axes offer the best means of genetic diversity conservation of recalcitrant-seeded species, but frequently shoots fail to develop following processing for, and after, cryostorage. The present work offers a means to overcome this, by generating adventitious shoots from seedling roots produced after axis cryopreservation. Embryonic axes of Ekebergia capensis were exposed to cryoprotectants, flash dried, and rapidly cooled in nitrogen slush. Cryoprotection was an essential step, with both glycerol and DMSO permitting survival after cryogen exposure, but sucrose alone, or in combination with glycerol, was deleterious. Adventitious shoots were formed from seedling roots developed by axes germinated after cryogen exposure, after being subjected to intermittent flushing with a BAP-containing medium for 24 h in a temporary immersion system and subsequent culture on a semi-solid BAP-containing medium. After excision, a high proportion of the adventitious shoots produced roots in vitro, with most of these rooted plantlets being subsequently successfully acclimated.
Noisy Distance Measurements Using 3-D Localization with Rb-Rf Methods (2014)

Wireless sensor networks are dynamically formed over the varying topologies. Wireless sensor networks can assist in conducting the rescue operations and can provide search in timely manner. Long time monitoring applications are environment monitoring, security surveillance and habitat monitoring. Further, where it can be deployed in time critical situations when disaster happens. As we are dealing with the human lives here, we can not just rely on the localization schemes that depend upon the connectivity information Rf i.e. range-free algorithms only. Further, rescue operations are carried out in highly noisy environments, so distance based Rb(range-based) localization algorithms generate high error in distance measurements. An efficient algorithm is needed that can measure the location of the sensor nodes near to the living being or being attached to them in 3-D space with a high accuracy. To achieve such kind of accuracy a combination of both the strategies is required. The proposed method which incorporates both the Rb(range-based)&Rfrange-free strategies that successfully localizes nodes in a sensor network with noisy distance measurements. We also have depicted the effect of scalability on the performance of the algorithm. Results show that as the scalability of the network increases with the number of beacon nodes; the performance of the algorithm goes high above 90 percent . The granularity of the areas estimated may be easily adjusted by changing the system parameters which makes the proposed algorithm flexible.
<title>Single-mode high-power diode laser array for optical communication</title> (1990)

Single frequency oscillation with a near diffraction-limited beam pattern is demonstrated from an otherwise multimode and multi-lobe high power GaAlAs laser array using a self-injection locking technique. A single mode output power of 500 mW with a single lobe far field beam of 0.5 deg divergence angle was obtained. The single frequency laser array also shows high frequency modulation response with high modulation depth and low distortion that make this laser array a suitable candidate for optical communication applications.
Oxide-assisted Synthesis and Properties of Semiconductor Nanowires (2001)

We introduce a new synthetic approach, called oxide-assisted growth method, which can produce bulk-quantity synthesis of high-purity (no metal contamination) onedimensional semiconductor nanomaterials. In contrast to the conventional metalcatalyst VLS approach, the oxide-assisted growth method uses oxides instead of metal catalysis in a laser ablation, thermal evaporation or CVD process. Using this new approach, we have synthesized various high-purity, one-dimensional semiconductor nanomaterials, including nanowires of Si, Ge, C, SiC, Si3N4, GaN, GaAs, GaP and CdS. Notably, silicon nanomaterials of controlled diameter, desired orientation or pattern, and morphologies (wire, chain, ribbons, cable) are attainable. We have characterized the morphology, microstructure, and optical and field-emission properties of silicon nanowires. The atomic structure and electronic properties of Si nanowires have been measured by STM and STS, which are correlated to the transport measurements. The effect of quantum confinement has been manifested. The results are important for developing nanoelectronic devices and offer exciting opportunities for research and applications in nanoscience and nanotechnology. ……
A high-performance MEMS transformer for silicon RF ICS (2003)

A new spiral-type suspended transformer for silicon radio frequency integrated circuits (RF ICs) has been fabricated by surface micromachining technology The fabricated transformer on standard silicon substrate has shown a low insertion loss of 1.9 dB at 1 GHz by reducing substrate coupling and ohmic loss using the proposed MEMS technology. Equivalent circuit models for the spiral-type suspended transformer have been extracted and shown that they agree well with measured characteristics.
Fluordichlormethylthio‐Verbindungen und ihre Verwendung im Pflanzenschutz (1964)

Abstract Beim Übergang von fungizid wirksamen N‐Trichlormethylthio‐ Verbindungen zu den Monofluor‐Analogen erhält man Verbindungen mit einem Optimum an biozider Potenz, während die höherfluorierten Derivate im allgemeinen wieder unwirksamer sind. Verschiedene Vertreter aus der Reihe der Fluordichlormethylthio‐ Verbindungen sind als Blatt‐ und Bodenfungizide, Akarizide, Insektizide und Bakterizide verwendbar.
The role of the apoptosome in the activation of procaspase-9 (2013)

Apoptosis, also called programmed cell death, is a physiological process that causes a number of morphological and biochemical changes, occurring in the cell and leading to its death. Along with the processes of proliferation, differentiation and maturation, it is responsible for controlling the amount and types of cells, removing those that are unnecessary or dangerous for the organism. The most important enzymes involved in apoptosis are caspases, which hydrolyze the structural and functional proteins, ultimately leading to cell death. The caspases are synthesized in the cell as inactive zymogens and have to be activated in order to perform their functions. Two pathways lead to the activation of caspases: the extrinsic pathway associated with membrane receptors and their ligands, and the intrinsic pathway dependent on mitochondria. The central element in the mitochondrial pathway is a special protein complex, the apoptosome, which enables and facilitates the activation of procaspase 9. Apaf-1, cytochrome c and dATP/ATP are needed to form the apoptosome. Active apoptosomes arise only in response to apoptotic agents. There are many factors regulating apoptosome formation in physiological conditions. It was shown that disorders in apoptosome formation have great importance in the pathogenesis of cancer and the occurrence of resistance to chemotherapy. Therefore, research continues on finding compounds which are able to induce or inhibit the formation of the apoptosome. The results of this research will have great importance for the treatment of cancers or diseases resulting from an excessively prolonged process of apoptosis. In this paper the general characteristics of the apoptosome, its role and mechanism of formation are presented. Additional information is given on the regulation of its activity and on the role of disturbance of apoptosome activity in cancerogenesis and chemoresistance. Particular attention is paid to those compounds that are able to influence the formation and activation of the apoptosome, and may in future be interesting therapeutic tools.