gebhart/patrepeval huggingface dataset:
Synchrotron radiation research—An overview (1983)

Synchrotron radiation, with its remarkable properties and eminent suitability for scientific and technical applications, is having a profound effect on the many disciplines that make use of radiation in the x-ray and vacuum ultraviolet regions of the spectrum. Indeed, the rapidly increasing availability of this radiation is revolutionizing some fields and is leading to a variety of new interdisciplinary collaborations. Seeking to take advantage of this incisive tool, scientists around the world are requesting time at synchrotron radiation facilities in such large numbers that the fast-paced construction of new sources—including several in less-developed countries—has yet to bring the level of availability up to that of demand.
Performance of a Colonoscopy Simulator: Experience from a Hands-On Endoscopy Course (2000)

The Simbionix (Tel Hashomer, Israel) GI-Mentor is an interactive computerized simulator, designed to provide medical experts with hands-on training for endoscopic procedures. The system uses a specially designed mannequin and a computer simulation program, utilizing a texture-mapped simulation of the endoluminal view, combined with a force-feedback mechanism and a real Pentax colonoscope to mimic the look and feel of an actual endoscopy procedure.
Near-Infrared Fluorescent 9-Phenylethynylpyronin Analogues for Bioimaging (2014)

The syntheses and biological applications of two novel fluorescent 9-phenylethynylpyronin analogues containing either carbon or silicon at the position 10 are reported. Both fluorescent probes exhibited a relatively strong fluorescence in methanol and phosphate buffer saline in the near-infrared region (705-738 nm) upon irradiation of either of their absorption maxima in the blue and red regions. The compounds showed high selectivity toward mitochondria in myeloma cells in vivo and allowed their visualization in a favored tissue-transparent window, which makes them promising NIR fluorescent tags for applications in bioimaging.
Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness (2013)

The wide spread use of location based social networks (LBSNs) has enabled the opportunities for better location based services through Point-of-Interest (POI) recommendation. Indeed, the problem of POI recommendation is to provide personalized recommendations of places of interest. Unlike traditional recommendation tasks, POI recommendation is personalized, location-aware, and context depended. In light of this difference, this paper proposes a topic and location aware POI recommender system by exploiting associated textual and context information. Specifically, we first exploit an aggregated latent Dirichlet allocation (LDA) model to learn the interest topics of users and to infer the interest POIs by mining textual information associated with POIs. Then, a Topic and Location-aware probabilistic matrix factorization (TL-PMF) method is proposed for POI recommendation. A unique perspective of TL-PMF is to consider both the extent to which a user interest matches the POI in terms of topic distribution and the word-of-mouth opinions of the POIs. Finally, experiments on real-world LBSNs data show that the proposed recommendation method outperforms state-of-the-art probabilistic latent factor models with a significant margin. Also, we have studied the impact of personalized interest topics and word-of-mouth opinions on POI recommendations.
Optimal aircraft terrain-following analysis and trajectory generation (1995)

The analysis of an aircraft terrain-following (TF) problem and a numerical method for the optimal trajectory generation are the subjects of this paper. The TF problem is formulated as an optimal control problem that combines short flight time and path-following objectives. The aircraft dynamics are represented by point-mass equations of motion in a vertical plane. The problem is first studied analytically to reveal the bang-bang nature of the optimal thrust control in most cases. Then, an inverse dynamics approach is employed to solve the problem numerically. Numerical solutions are provided to support the analysis and demonstrate the features of the problem.
Seal bypass systems (2007)

We present an interpretational framework for the analysis of a diverse set of geological structures that breach sealing sequences and allow fluids to flow vertically or subvertically across the seal. In so doing, they act as seal bypass systems (SBS). We define SBS as seismically resolvable geological features embedded within sealing sequences that promote cross-stratal fluid migration and allow fluids to bypass the pore network. If such bypass systems exist within a given seal sequence, then predictions of sealing capacity based exclusively on the flow properties (capillary entry pressure and hydraulic conductivity) of the bulk rock can potentially be negated by the capacity of the bypass system to breach the grain and pore network. We present a range of examples of SBS affecting contrasting types of sealing sequences using three-dimensional (3-D) seismic data. These examples show direct evidence of highly focused vertical or subvertical fluid flow from subsurface reservoirs up through the seal sequence, with leakage internally at higher levels or to the surface as seeps.\n\nWe classify SBS into three main groups based on seismic interpretational criteria: (1) fault related, (2) intrusion related, and (3) pipe related. We show how each group exhibits different modes of behavior with different scaling relationships between flux and dimensions and different short- and long-term impacts on seal behavior.
A new precision refractometer (1941)

A refractometer capable of giving refractive indices and dispersions to one unit in the fifth decimal place is described. The samples are smooth ground, but not polished, and require little care in preparation. A complete determination (Na D, C and F lines) can be made in 1-2 hr. This compares very favourably with the Pulfrich refractometer, both for accuracy and for speed, particularly if the time of preparation of a specimen is taken into account.
Fluorogenic and Chromogenic Chemosensors and Reagents for Anions (2003)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTFluorogenic and Chromogenic Chemosensors and Reagents for AnionsRamón Martínez-Máñez and Félix SancenónView Author Information GDDS, Departamento de Química, Universidad Politécnica de Valencia, Camino de Vera s/n, 46071-Valencia, Spain Cite this: Chem. Rev. 2003, 103, 11, 4419–4476Publication Date (Web):October 28, 2003Publication History Received16 May 2003Published online28 October 2003Published inissue 1 November 2003https://pubs.acs.org/doi/10.1021/cr010421ehttps://doi.org/10.1021/cr010421eresearch-articleACS PublicationsCopyright © 2003 American Chemical SocietyRequest reuse permissionsArticle Views15917Altmetric-Citations2865LEARN 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 SUBJECTS:Anions,Color,Fluorescence,Quenching,Receptors Get e-Alerts
The robust control of a servomechanism problem for linear time-invariant multivariable systems (1976)

Necessary and sufficient conditions are found for there to exist a robust controller for a linear, time-invariant, multivariable system (plant) so that asymptotic tracking/regulation occurs independent of input disturbances and arbitrary perturbations in the plant parameters of the system. In this problem, the class of plant parameter perturbations allowed is quite large; in particular, any perturbations in the plant data are allowed as long as the resultant closed-loop system remains stable. A complete characterization of all such robust controllers is made. It is shown that any robust controller must consist of two devices 1) a servocompensator and 2) a stabilizing compensator. The servocompensator is a feedback compensator with error input consisting of a number of unstable subsystems (equal to the number of outputs to be regulated) with identical dynamics which depend on the disturbances and reference inputs to the system. The sorvocompensator is a compensator in its own right, quite distinct from an observer and corresponds to a generalization of the integral controller of classical control theory. The sole purpose of the stabilizing compensator is to stabilize the resultant system obtained by applying the servocompensator to the plant. It is shown that there exists a robust controller for "almost all" systems provided that the number of independent plant inputs is not less than the number of independent plant outputs to be regulated, and that the outputs to be regulated are contained in the measurable outputs of the system; if either of these two conditions is not satisfied, there exists no robust controller for the system.
Intratumoral delivery of CCL25 enhances immunotherapy against triple-negative breast cancer by recruiting CCR9 <sup>+</sup> T cells (2020)

CCR9<sup>+</sup> T cells have an increased potential to be activated and therefore may mediate strong antitumor responses. Here, we found, however, that CCL25, the only chemokine for CCR9<sup>+</sup> cells, is not expressed in human or murine triple-negative breast cancers (TNBCs), raising a hypothesis that intratumoral delivery of CCL25 may enhance antitumor immunotherapy in TNBCs. We first determined whether this approach can enhance CD47-targeted immunotherapy using a tumor acidity-responsive nanoparticle delivery system (NP-siCD47/CCL25) to sequentially release CCL25 protein and CD47 small interfering RNA in tumor. NP-siCD47/CCL25 significantly increased infiltration of CCR9<sup>+</sup>CD8<sup>+</sup> T cells and down-regulated CD47 expression in tumor, resulting in inhibition of tumor growth and metastasis through a T cell-dependent immunity. Furthermore, the antitumor effect of NP-siCD47/CCL25 was synergistically enhanced when used in combination with programmed cell death protein-1/programmed death ligand-1 blockades. This study offers a strategy to enhance immunotherapy by promoting CCR9<sup>+</sup>CD8<sup>+</sup> T cell tumor infiltration.
In Defense of Employer of Last Resort: A Response to Malcolm Sawyer (2005)

(2005). In Defense of Employer of Last Resort: A Response to Malcolm Sawyer. Journal of Economic Issues: Vol. 39, No. 1, pp. 235-244.
Activity of two polyene and two imidazole antimicrobics on Candida albicans in human fibrin clots. (1983)

The vegetations of infective fungal endocarditis were simulated by preparing human fibrin clots containing 10(5) CFU of Candida albicans per clot. Clots were incubated in human serum without drugs (controls) or with equimolar concentrations (2.5 to 20 nmol/ml) of four antifungal antimicrobics: AMB and miconazole (both colloidal suspensions) and DAB and KET (both molecularly dispersed). Over a period of 4 days of incubation, clots were resuspended in freshly prepared serum-antimicrobic every 12 hr. Cohorts of control and drug-exposed clots were cultured quantitatively at 24 hr intervals. Neither imidazole at any concentration tested prevented growth of C. albicans to an extent that was significantly different from growth in the control clots. Both polyenes reduced the CFU/clot, with AMB significantly more active than DAB.
Use of multitarget tyrosine kinase inhibitors to attenuate platelet-derived growth factor signalling in lung disease (2017)

Platelet-derived growth factors (PDGFs) and their receptors (PDGFRs) play a fundamental role in the embryonic development of the lung. Aberrant PDGF signalling has been documented convincingly in a large variety of pulmonary diseases, including idiopathic pulmonary arterial hypertension, lung cancer and lung fibrosis. Targeting PDGF signalling has been proven to be effective in these diseases. In clinical practice, the most effective way to block PDGF signalling is to inhibit the activity of the intracellular PDGFR kinases. Although the mechanism of action of such drugs is not specific for PDGF signalling, the medications have a broad therapeutic index that allows clinical use. The safety profile and therapeutic opportunities of these and future medications that target PDGFs and PDGFRs are reviewed.
www.medicine.com (2000)

It was while watching an episode of Star Trek: the Next Generation with Shamina, who was dressed as a Borg (she is a diehard “trekkie”), that I wondered if future doctors would be like Dr Beverly Crusher. For those of you who are unfamiliar with the programme, Dr Crusher is the ship's doctor, who supports a head of firmly set ginger hair and wears blue, space age lycra tops. All she seems to do is flirt rather outrageously (and rather shamefully, if you ask me) with Captain Picard. The intensity of a phaser even at the “kill” setting is unmatched by the strength of her sultry stare - one can almost …
Deep Learning at the Mobile Edge: Opportunities for 5G Networks (2020)

Mobile edge computing (MEC) within 5G networks brings the power of cloud computing, storage, and analysis closer to the end user. The increased speeds and reduced delay enable novel applications such as connected vehicles, large-scale IoT, video streaming, and industry robotics. Machine Learning (ML) is leveraged within mobile edge computing to predict changes in demand based on cultural events, natural disasters, or daily commute patterns, and it prepares the network by automatically scaling up network resources as needed. Together, mobile edge computing and ML enable seamless automation of network management to reduce operational costs and enhance user experience. In this paper, we discuss the state of the art for ML within mobile edge computing and the advances needed in automating adaptive resource allocation, mobility modeling, security, and energy efficiency for 5G networks.
Luneburg lens with extended flat focal surface for electronic scan applications (2016)

Luneburg lens with flat focal surface has been developed to work together with planar antenna feeds for beam steering applications. According to our analysis of the conventional flattened Luneburg lens, it cannot accommodate enough feeding elements which can cover its whole scan range with half power beamwidths (HPBWs). In this paper, a novel Luneburg lens with extended flat focal surface is proposed based on the theory of Quasi-Conformal Transformation Optics (QCTO), with its beam steering features reserved. To demonstrate this design, a three-dimensional (3D) prototype of this novel extend-flattened Luneburg lens working at Ku band is fabricated based on 3D printing techniques, whose flat focal surface is attached to a 9-element microstrip antenna array to achieve different scan angles. Our measured results show that, with different antenna elements being fed, the HPBWs can cover the whole scan range.
Get on the right track (2005)

This article presents an overview of products available in the UK for fleet vehicle tracking. Vehicle tracking was seen as expensive but costs are reducing, with fixed-price, fixed-term contracts becoming more common. Systems can monitor both consignment location and driver activity. The internet provides affordable and easy access to real-time data. General Packet Radio Services (GPRS) is becoming the standard for mobile communications, with permanently live connection: vehicle information can be collected cheaply. Fast internet access removes the need for expensive office-based software and frequent updates are possible. Systems are differentiated by frequency of the position updates, on-board data storage capacity, integration with other on-board systems, and mapping accuracy. Some products are reviewed with information on their individual strengths.
Lycopene from two food sources does not affect antioxidant or cholesterol status of middle-aged adults (2004)

The inclusion of watermelon or tomato juice containing 20 mg lycopene did not affect plasma lipid concentrations or antioxidant status of healthy subjects. However, plasma cholesterol levels impacted the results of MDA and FRAP antioxidant tests.
Analysis of Ecologically Relevant Pharmaceuticals in Wastewater and Surface Water Using Selective Solid-Phase Extraction and UPLC−MS/MS (2008)

A rapid and sensitive method has been developed for the analysis of 48 human prescription active pharmaceutical ingredients (APIs) and 6 metabolites of interest, utilizing selective solid-phase extraction (SPE) and ultraperformance liquid chromatography in combination with triple quadrupole mass spectrometry (UPLC-MS/MS). The single-cartridge extraction step was developed using a mixed mode reversed-phase/cation-exchange cartridge (Oasis MCX) and validated in both wastewater effluent and surface water. Recoveries for the majority of compounds ranged from 80% to 125%, with relative standard deviations generally below 15%. Analytes were quantified using a multiple injection analysis with four chromatographic runs, with a combined run time of 48 min and SPE-UPLC-MS/MS method detection limits ranging from 1.0 to 51 ng/L. The analysis of seven wastewater effluents and one surface water sample revealed at least one detection for 38 of the 54 compounds, with effluent concentrations ranging from 7 to 2950 ng/L and surface water concentrations ranging from 10 to 140 ng/L. This initial data demonstrates that a significant number of the selected target analytes are present in wastewater treatment plant discharges.
The release of acetylcholine from post‐ganglionic cell bodies in response to depolarization. (1980)

1. Acetylcholine (Ach) release from parasympathetic ganglia cell somata was investigated in denervated avian ciliary ganglia. Three days after the input to the ganglion (the oculomotor nerve) was sectioned, all presynaptic nerve terminals had degenerated. 2. Denervated ganglia were shown to contain endogenous ACh and to be capable of synthesizing [3H]ACh from [3H]choline added to the incubation medium. 3. In response to depolarization induced by incubation in 50 mM-[K+]o, denervated ganglia released [3H]ACh into bath effluents in amounts approximately 15% of the non-denervated contralateral control. This release was shown to be Ca2+ dependent in both intact and denervated ganglia. 4. Antidromic electrical stimulation of ciliary nerves also elicited [3H]ACh release. Nicotine (1 microgram/microliter.) depolarized denervated ciliary ganglion cells and evoked release of the transmitter and this release was antagonized by curare. 5. It is concluded that the ganglionic cell bodies sysnthesized ACh and released the transmitter in response to K+ depolarization, antidromic stimulation and cholinergic agonists, despite the lack of morphological specializations usually associated with stimulus-induced release of neurotransmitter. The evidence suggests the existence of a mechanism of transmitter release which is Ca2+ dependent, probably from a cytoplasmic pool and therefore distinct from the usual vesicular release at the nerve terminal.
Asynchronous translations with recurrent neural nets (2002)

Many researchers have explored the relation between discrete-time recurrent neural networks (DTRNN) and finite-state machines (FSMs) either by showing their computational equivalence or by training them to perform as finite-state recognizers from examples. Most of this work has focused on the simplest class of deterministic state machines, that is deterministic finite automata and Mealy (or Moore) machines. The class of translations these machines can perform is very limited, mainly because these machines output symbols at the same rate as they input symbols, and therefore, the input and the translation have the same length; one may call these translations synchronous. Real-life translations are more complex: word reorderings, deletions, and insertions are common in natural-language translations; or, in speech-to-phoneme conversion, the number of frames corresponding to each phoneme is different and depends on the particular speaker or word. There are, however, simple deterministic, finite-state machines (extensions of Mealy machines) that may perform these classes of "asynchronous" or "time-warped" translations. A simple DTRNN model with input and output control lines inspired on this class of machines is presented and successfully applied to simple asynchronous translation tasks with interesting results regarding generalization. Training of these nets from input-output pairs is complicated by the fact that the time alignment between the target output sequence and the input sequence is unknown and has to be learned: we propose a new error function to tackle this problem. This approach to the induction of asynchronous translators is discussed in connection with other approaches.
A tool for designing Java programs with UML (1999)

This project intends to develop a simple UML (Unified Modeling Language) tool in Java to be used by students learning object-oriented design and Java programming. Each student will be able to design a Java program by filling in forms (use cases, CRC cards) and making diagrams (use case diagrams, class diagrams and sequence diagrams) in a number of views. When the student enters information for any one of the views the tool will update the equivalent information for the other views. The tool will generate Java skeleton code from information supplied by the student.
Using Support Vector Machines in Financial Time Series Forecasting (2014)

Forecasting financial time series, such as stock price indices, is a complex process. This is because financial time series are usually quite noisy and involve ambiguous seasonal effects due to holidays, weekends, irregular closure periods of the stock market, changes in interest rates, and announcements of macroeconomic and political events. Support vector machines (SVM) and Artificial neural networks (ANN) have been used in a variety of applications, mainly in classification, regression, and forecasting problems. In the SVM method for both regression and classification, data is mapped to a higher-dimensional space and separated using a maximum-margin hyperplane. This paper investigated the application of SVM in financial forecasting. The autoregressive integrated moving average (ARIMA), ANN, and SVM models were fitted to Al-Quds Index of the Palestinian Stock Exchange Market time series data and two-month future points were forecast. The results of applying SVM methods and the accuracy of forecasting were assessed and compared to those of the ARIMA and ANN methods through the minimum root-mean-square error of the natural logarithms of the data. We concluded that the results from SVM provide a more accurate model and a more efficient forecasting technique for such financial data than both the ANN and ARIMA models.
High gradient magnetic separations in water effluents (1978)

High gradient magnetic separators (HGMS) have proven to be an effective means of lowering significantly both the oil and suspended solids of water effluent streams. This paper presents a systematic investigation of pertinent variables for optimal removal of hydrocarbons and weakly magnetic solids. Field strength, nature of matrix, residence time of fluid within the active region of the inhomogeneous field, and particle size of magnetite seeds are among the variables examined.