gebhart/patrepeval huggingface dataset:
Creating a home PBX using Asterisk and Digium (2006)

There's a call for mom on extension 9 now being routed to voice mail, all thanks to Linux, Asterisk and Digium.
Epidemiology and survivorship of soft tissue sarcomas in adults: a national cancer database report (2014)

The National Cancer Data Base (NCDB) of the American College of Surgeons gather demographic and survival data on ~70% of cancers in the USA. We wanted to investigate the demographic and survivorship data on this potentially more representative cohort of patients with soft tissue sarcomas. We selected 34 of the most commonly encountered soft tissue sarcomas reported to the NCDB, provided that each entity contained a minimum of 50 cases. This report summarizes the demographic and survivorship data on 63,714 patients with these 34 histologically distinct soft tissue sarcomas reported to the NCDB from 1998 to 2010. The overall survivorships of these sarcomas were near the lower limits of many prior reports due to the all-inclusive, minimally biased inclusion criteria. The overall best prognosis was Dermatofibrosarcoma NOS (not otherwise specified). (5-year survivorship 92%). The worst prognosis was Dedifferentiated Chondrosarcoma (5-year survivorship 19%). New observations included Biphasic Synovial Sarcoma demonstrating a better 5-year survivorship (65%) compared to spindle-cell synovial sarcoma (56%, P < 0.031) and Synovial Sarcoma, NOS (52%, P < 0.001). The demographic and 2- and 5-year survivorship data for all 34 soft tissue sarcomas are presented herein. This extent of demographic and survival data in soft tissue sarcomas is unprecedented. Because of the large number of cases and the inclusive nature of the NCDB, without restriction to certain stages, categories, or treatments, it is less subject to selection bias. Therefore, these data are thought to be more reflective of the true overall prognosis given the current management of sarcoma across the NCDB contributing sites.
Evaluation of a chemiluminescent probe assay for identification of Histoplasma capsulatum isolates (1992)

Fifty-three of 54 isolates of fungi were correctly identified with an acridinium ester-labelled probe for Histoplasma capsulatum (Accuprobe; Gen-Probe, San Diego, Calif.). One isolate of Aspergillus niger was incorrectly identified as H. capsulatum. Age of the culture, medium for isolation, and morphologic state did not affect the results.
Outlier Detection Methods for Industrial Applications (2008)

A description of traditional approaches and of the most widely used methods within each category has been provided. As standard outlier detection methods fail to detect outliers in industrial data, the use of artificial intelligence techniques has also been proposed, because it presents the advantage of requiring poor or no a priori assumption on the considered data. A procedure for outlier detection in a database has been proposed which exploits a Fuzzy Inference System in order to evaluate four features for a pattern that characterize its location within the database. The system has been tested on a real industrial application, where outliers can provide indications on malfunctionings or anomalous process conditions. The presented results clearly demonstrate that the Fuzzy Logic-based method outperforms the most widely adopted the traditional methods. Future work on the FIS-based outliers detection strategy will concern the algorithm optimization in order to improve its efficiency and its on-line implementation. Moreover further tests will be performed on different applications.
The clinical effects on plaque and gingivitis over three-month's use of four complex-design manual toothbrushes. (1994)

The Colgate Total (formerly Colgate Precision) was evaluated along with the New Improved Crest Complete, Reach Advanced Design and Oral-B Advantage toothbrushes to compare six-week and three-month effects on plaque and gingivitis. One-hundred and ninety-three male and female participants completed a three-month, unsupervised toothbrushing study, brushing their teeth twice daily with one of these four products and a standard fluoride dentifrice. Plaque was quantified using the Rustogi et al. refinement of the Modified Navy Plaque Index. Gingivitis levels were measured using the Lobene et al Modified Gingival index. After initial screening examinations, the qualifying population (0.6 plaque, 1.8 gingivitis) was given a complete oral prophylaxis and instructed to return after forty-eight hours of no oral hygiene for baseline evaluations. The study population was split into four balanced groups after baseline examinations and assigned, by group, to use a particular toothbrush for the study duration. Subjects returned after six weeks and three months for safety and efficacy evaluations. There were no reported or observed untoward effects at any examination time in the study. Plaque and gingivitis mean values were not significantly different at baseline between the four groups. Results from this three-month clinical study demonstrated a significant reduction (p<.0001) in plaque levels and gingivitis for all of the four toothbrushes compared to baseline. At both six weeks and three months, gingivitis and plaque means were significantly lower (p<.01) in the Colgate Total group compared to the other three toothbrushes tested. When changes from six weeks to three months were statistically analyzed only the Colgate Total toothbrush significantly reduced (p<.001) gingivitis mean scores.
Unsupervised discovery of scenario-level patterns for Information Extraction (2000)

Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base---a time-consuming and expensive process. We have implemented a system for finding patterns automatically from un-annotated text. Starting with a small initial set of seed patterns proposed by the user, the system applies an incremental discovery procedure to identify new patterns. We present experiments with evaluations which show that the resulting patterns exhibit high precision and recall.
Optimal Power Flow By Newton Approach (1984)

The classical optimal power flow problem with a nonseparable objective function can be solved by an explicit Newton approach. Efficient, robust solutions can be obtained for problems of any practical size or kind. Solution effort is approximately proportional to network size, and is relatively independent of the number of controls or binding inequalities. The key idea is a direct simultaneous solution for all of the unknowns in the Lagrangian function on each iteration. Each iteration minimizes a quadratic approximation of the Lagrangian. For any given set of binding constraints the process converges to the Kuhn-Tucker conditions in a few iterations. The challenge in algorithm development is to efficiently identify the binding inequalities.
Assessing the Rayleigh Intensity Remote Leak Detection Technique (2001)

Remote sensing technologies are being considered for efficient, low cost gas leak detection. An exploratory project to identify and evaluate remote sensing technologies for application to gas leak detection is underway. During Phase 1 of the project, completed last year, eleven specific techniques were identified for further study. One of these, the Rayleigh Intensity technique, would make use of changes in the light scattered off of gas molecules to detect and locate a leak. During the 10-week Summer Faculty Fellowship Program, the scatter of light off of gas molecules was investigated. The influence of light scattered off of aerosols suspended in the atmosphere was also examined to determine if this would adversely affect leak detection. Results of this study indicate that in unconditioned air, it will be difficult, though perhaps not impossible, to distinguish between a gas leak and natural variations in the aerosol content of the air. Because information about the particle size distribution in clean room environments is incomplete, the applicability in clean rooms is uncertain though more promising than in unconditioned environments. It is suggested that problems caused by aerosols may be overcome by using the Rayleigh Intensity technique in combination with another remote sensing technique, the Rayleigh Doppler technique.
COMPARATIVE STUDY OF ANTIBACTERIAL ACTIVITY OF PEEL EXTRACTS OF CITRUS AURANTIUM L. (BITTER ORANGE) AND CITRUS MEDICA L. (LEMON) AGAINST CLINICAL ISOLATES FROM WOUND INFECTION (2014)

The main objective of this study is antibacterial activity of Lemon (Citrus medica L.) and Bitter Orange (Citrus aurantium L.) Peel extract against clinical isolates from wound infection. As microorganism are becoming resistant to present day antibiotics, our study focuses on antimicrobial activity and future prophylactic potential of the lemon and orange peels. The antibacterial activity of Peel extract of Citrus medica L. and Citrus aurantium L. were evaluated on bacterial strains like E. coli, Ps. aeruginosa, Kl. pneumoniae, Pr. vulgaris, Serratia marcescens , Propionibacterium acne, Enterococcus spp., Streptococcus spp., S. aureus and S. epidermidis. All bacteria were isolated from wound infected patients and were multiple drug resistant to many antibiotics. Antibacterial activity of five different solvent extracts (Methanol, acetone, ethanol, petroleum ether and n- Hexane) were prepared by using Soxhlet extractor. In-vitro antibacterial activity was performed by agar well diffusion method. Citrus medica peel extracts showed a very good antimicrobial activity when compared to Citrus aurantium. Both plants peel extract showed considerable antibacterial activity against all tested bacteria. The peel extract of Citrus aurantium and Citrus medica can be considered to be as equally potent as the antibiotics used now-a-days.
Performance testing of the FMC Fresnel-Belt Concentrating Solar Collector (1980)

The results of tests performed on the FMC Fresnel-Belt Solar Collector at the Midtemperature Solar Systems Test Facility are summarized. Tests were conducted over a temperature range from 100 to 250/sup 0/C. Test objectives are defined, test procedures are described, and test results and conclusions are given.
Molar Distalization by Temporary Anchorage Devices (TAD s) – A Review Article (2017)

Clinically, there are many ways to achieve molar distalization, such as skeletal anchorage, extraoral anchorage, sliding jig, lip bumper, and pendulum, etc. Although several methods have been described to distalize molars or total dentition, there is no strong scientific evidence of the effectiveness of various methods. To date, temporary anchorage devices (TADs) are increasingly used as orthodontic anchorage sources because of its strong anchorage, including endoosseous implants, miniplates, miniscrews and microscrews. Application of bony anchorage makes teeth move more efficiently, without depending on patient compliance in wearing appliance. However, only case reports and small case series have been published on the benefits of TADs in molar distalization. Thus, the purpose of this study was to review the papers on methods of molar distalization with use of TADs, potential side effects, and possible range of distalization.
Influence of Physical Grain Characteristics on Optimal Rotor Speed During Impact Dehulling of Oats (2007)

ABSTRACT Central to commercial oat ( Avena sativa L.) processing is impact dehulling. During impact dehulling, oats are fed into a spinning rotor that expels the grains against an impact ring. The impact frees the groat from the hulls. To optimize dehulling protocols, we examined the effects of physical grain characteristics and rotor speed on oat dehulling using an impact dehuller. We separated grain of three cultivars (Gem, CDC Dancer, Ronald) according to size by sieve fractionation (separation by width), disk fractionation (separation by length), and by gravity table (separation by density). Grains were characterized by mass, digital image analysis, and bulk density. Samples (50 g) were adjusted to 9% moisture and dehulled at four different rotor speeds. Groat percentage, dehulling efficiency, and groat breakage were measured after dehulling. In general, oats with higher bulk density dehulled more efficiently at slower rotor speeds, regardless of grain mass. Groat breakage increased with rotor speed and with grain mass. Adjusting dehulling conditions according to grain size improved groat yields over optimal dehulling conditions for unfractionated grains for some cultivars. More refined fractionation of grain according to bulk density may provide further improvement of groat yield during impact dehulling.
Neutral conversion af aldoximes into nitriles at low temperature (1973)

H. G. Foley and D. R. Dalton, J. Chem. Soc., Chem. Commun., 1973, 628 DOI: 10.1039/C39730000628
Efficient mining of textual associations (2004)

We describe an efficient implementation for mining textual associations from text corpora. In order to tackle real world applications, efficient algorithms and data structures are needed to manage, in reasonable time and space, the overgrowing volume of text data. For that purpose, we introduce a global architecture based on masks, suffix arrays and multidimensional arrays to implement the SENTA extractor (Dias, 2002). In particular, SENTA has shown great flexibility and accuracy for mining textual associations such as collocations, cognates, morphemes and chunks. Our solution shows O(h(F) N log N) time complexity and O(N) space complexity where N is the size of the corpus and h(F) is a function of the context window size.
Tracking the evolution of community structures in time-evolving social networks (2015)

In real-world social networks, there is increasing interest in tracking the evolution of groups of users. Existing approaches track evolving communities, in a time-sequential way, by comparing communities in terms of nodes using a similarity measure such as the Jaccard or a modified Jaccard measure. The measure allows the use of a one-to-one comparison in order to match communities. However, tracking a given community based on this measure alone may, at the end of its lifespan yield a community that does not share any node with the community initially observed. In this paper we present a novel approach for modeling and detecting the evolution of communities. In our model, we first build a matrix that counts the number of nodes shared between two communities. The individual rows of the obtained matrix are then used to represent nodes shared by a community with all other communities over time. This effectively captures the trace of the communities that should be compared over the period of observation. We then propose a new similarity measure, named mutual transition, for tracking the communities and rules for capturing significant transition events a community can undergo. The proposed approach is general in the sense that it can be applied to different social networks. To demonstrate the suitability of the proposed method, we conducted experiments on real data extracted from the DBLP, Autonomous System and YELP.
A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT (2017)

The recent expansion of the Internet of Things (IoT) and the consequent explosion in the volume of data produced by smart devices have led to the outsourcing of data to designated data centers. However, to manage these huge data stores, centralized data centers, such as cloud storage cannot afford auspicious way. There are many challenges that must be addressed in the traditional network architecture due to the rapid growth in the diversity and number of devices connected to the internet, which is not designed to provide high availability, real-time data delivery, scalability, security, resilience, and low latency. To address these issues, this paper proposes a novel blockchain-based distributed cloud architecture with a software defined networking (SDN) enable controller fog nodes at the edge of the network to meet the required design principles. The proposed model is a distributed cloud architecture based on blockchain technology, which provides low-cost, secure, and on-demand access to the most competitive computing infrastructures in an IoT network. By creating a distributed cloud infrastructure, the proposed model enables cost-effective high-performance computing. Furthermore, to bring computing resources to the edge of the IoT network and allow low latency access to large amounts of data in a secure manner, we provide a secure distributed fog node architecture that uses SDN and blockchain techniques. Fog nodes are distributed fog computing entities that allow the deployment of fog services, and are formed by multiple computing resources at the edge of the IoT network. We evaluated the performance of our proposed architecture and compared it with the existing models using various performance measures. The results of our evaluation show that performance is improved by reducing the induced delay, reducing the response time, increasing throughput, and the ability to detect real-time attacks in the IoT network with low performance overheads.
Constitutive and Ligand-Induced TCR Degradation (2004)

Modulation of TCR expression levels is a central event during T cell development and activation, and it probably plays an important role in adjusting T cell responsiveness. Conflicting data have been published on down-regulation and degradation rates of the individual TCR subunits, and several divergent models for TCR down-regulation and degradation have been suggested. The aims of this study were to determine the rate constants for constitutive and ligand-induced TCR degradation and to determine whether the TCR subunits segregate or are processed as an intact unit during TCR down-regulation and degradation. We found that the TCR subunits in nonstimulated Jurkat cells were degraded with rate constants of approximately 0.0011 min(-1), resulting in a half-life of approximately 10.5 h. Triggering of the TCR by anti-TCR Abs resulted in a 3-fold increase in the degradation rate constants to approximately 0.0033 min(-1), resulting in a half-life of approximately 3.5 h. The subunits of the TCR complex were down-regulated from the cell surface and degraded with identical kinetics, and most likely remained associated during the passage throughout the endocytic pathway from the cell surface to the lysosomes. Similar results were obtained in studies of primary human Vbeta8+ T cells stimulated with superantigen. Based on these results, the simplest model for TCR internalization, sorting, and degradation is proposed.
Sulfuranes. 29. Polarizability of the hypervalent bond in some unsymmetrically substituted sulfuranes as reflected in carbonyl stretching frequencies of acyloxy ligands (1977)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSulfuranes. 29. Polarizability of the hypervalent bond in some unsymmetrically substituted sulfuranes as reflected in carbonyl stretching frequencies of acyloxy ligandsP. Livant and J. C. MartinCite this: J. Am. Chem. Soc. 1977, 99, 17, 5761–5767Publication Date (Print):August 1, 1977Publication History Published online1 May 2002Published inissue 1 August 1977https://pubs.acs.org/doi/10.1021/ja00459a037https://doi.org/10.1021/ja00459a037research-articleACS PublicationsRequest reuse permissionsArticle Views143Altmetric-Citations23LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Real-Time Observation of Carbonic Acid Formation in Aqueous Solution (2009)

Despite the widespread importance of aqueous bicarbonate chemistry, its conjugate acid, carbonic acid, has remained uncharacterized in solution. Here we report the generation of deuterated carbonic acid in deuterium oxide solution by ultrafast protonation of bicarbonate and its persistence for nanoseconds. We follow the reaction dynamics upon photoexcitation of a photoacid by monitoring infrared-active marker modes with femtosecond time resolution. By fitting a kinetic model to the experimental data, we directly obtain the on-contact proton-transfer rate to bicarbonate, previously inaccessible with the use of indirect methods. A Marcus free-energy correlation supports an associated pKa (Ka is the acid dissociation constant) of 3.45 +/- 0.15, which is substantially lower than the value of 6.35 that is commonly assumed on the basis of the overall carbon dioxide-to-bicarbonate equilibrium. This result should spur further exploration of acid-base reactivity in carbon dioxide-rich aqueous environments such as those anticipated under sequestration schemes.
The Challenges of AI and Blockchain on HR Recruiting Practices (2018)

Blockchain, artificial intelligence (AI) and other technological innovations are affecting all aspects of our societies and causing some profound changes in human resource (HR) practices in business and non-profit organizations. Critical to these high tech advances is how they will affect employment patterns and the way companies will hire their workforce, influencing HR practices and the way they will manage their employees. This paper, after a short introduction, consists of three parts. The first discusses how blockchain and AI are affecting HR practices. The second looks at hiring practices at firms, while the third discusses employment patterns in the emerging age of high-tech super-automation. There is also a concluding section, discussing the implications of the forthcoming AI on employment (or unemployment) and the inevitable income inequality that is bound to develop and affect our societies.
Noise in hospital rooms and sleep disturbance in hospitalized medical patients (2014)

Systemic organizational interventions are needed to keep wardrooms private and quiet to reduce sleep disturbance.
Evaluating a police-implemented AVM system: The St. Louis experience (phase I) (1977)

The St. Louis Metropolitan Police Department is the first major urban police department to implement an automatic vehicle monitoring (AVM) system. The AVM technology incorporates computer-aided dead-reckoning, thus facilitating vehicle tracking on individual streets in a city. Implemented as a Phase I prototype system in one police district early in 1975, the test system is evaluated in this paper utilizing a three-pronged approach. Focusing on 1) technology, 2) police operations, and 3) attitudes and organizational impact, attention is given to operational performance in Phase I, to ameliorative action for Phase II, and to the affects of AVM on response time, officer safety, voice-band congestion, and command and control.
Fibronectin overexpression inhibits trabecular meshwork cell monolayer permeability. (2004)

Excess FN synthesis by trabecular meshwork cells may contribute to blockage in aqueous outflow associated with the development of primary angle open glaucoma (POAG).