gebhart/patrepeval huggingface dataset:
In Vitro Studies of Frog Mucous Glands (1977)

The ionic outflow, mainly consisting of Na+ and Cl-, from the mucous glands in an excised nerve-skin preparation of frog has been determined by recording the conductance changes occurring in a fluid layer covering a small area of the skin surface. In the main series of experiments the glands were activated by stimulation of sympathetic nerve fibers in the skin nerve. The relationship between the ionic outflow and the number of nerve volleys was studied over a wide range. The outflow per impulse was found to be fairly constant during the first tens of impulses but diminished gradually with increasing number of stimuli up to a certain maximum value--varying in different preparations--after which the outflow ceased completely. During the initial phase of stimulation the outflow is most likely caused by an ejection of performed secretion due to the contractions of the glandular myoepithelium. The continued outflow in the later stages of the stimulation periods must be due to production of new secretion. Since the glandular epithelium is devoid of nerve terminals a nervous control of the ionic secretion can only be explained by an indirect influence mediated either by transmitter diffusion from the myoepithelial nerve endings or by a close electric coupling between the contractile and the secretory gland cells. Adrenaline and noradrenaline induce ionic outflows which like those evoked by nerve stimulation are inhibited by the beta-adrenoreceptor blocker propranolol, alpha-adrenoreceptor blockers being without effect. A serendipitous finding of tonus changes in the frog skin during nerve stimulation is also described.
Dysphagia in Children with Esophageal Atresia: Current Diagnostic Options (2015)

Dysphagia or swallowing disorder is very common (range, 15-52%) in patients with esophageal atresia. Children present with a wide range of symptoms. The most common diagnostic tools to evaluate esophageal dysphagia, such as upper barium study and manometry, aim to characterize anatomy and function of the esophageal body and the esophagogastric junction (EGJ). Using these technologies, a variety of pathological motor patterns have been identified in children with esophageal atresia. However, the most challenging part of diagnosing patients with esophageal dysphagia lies in the fact that these methods fail to link functional symptoms such as dysphagia with the esophageal motor disorders observed. A recent method, called pressure-flow analysis (PFA), uses simultaneously acquired impedance and manometry measurements, and applies an integrated analysis of these recordings to derive quantitative pressure-flow metrics. These pressure-flow metrics allow detection of the interplay between bolus flow, motor patterns, and symptomatology by combining data on bolus transit and bolus flow resistance. Based on a dichotomous categorization, flow resistance at the EGJ and ineffective esophageal bolus transit can be determined. This method has the potential to guide therapeutic decisions for esophageal dysmotility in pediatric patients with esophageal atresia.
Load balancing for multi-robot construction (2011)

In distributed multi-robot construction it is important to set the relative rates at which different construction sites receive raw building materials. Otherwise, subtasks finish at different times introducing unnecessary delays. We present a feedback algorithm to achieve robust load balancing in routing building materials for stochastic, distributed, multi-robot construction systems. We express global behavior in terms of local reactive behavior via Guarded Command Programming with Rates and prove correctness of the load-balancing controller for a wide range of conditions. We adapt a proof from earlier work on controlling Stochastic Chemical Kinetic systems and illustrate the algorithm on the Factory-Floor robotic testbed [1].
A requires/provides model for computer attacks (2001)

Article A requires/provides model for computer attacks Share on Authors: Steven J. Templeton Dept. of Computer Science, University of California, Davis Dept. of Computer Science, University of California, DavisView Profile , Karl Levitt Dept. of Computer Science, University of California, Davis Dept. of Computer Science, University of California, DavisView Profile Authors Info & Claims NSPW '00: Proceedings of the 2000 workshop on New security paradigmsFebruary 2001 Pages 31–38https://doi.org/10.1145/366173.366187Online:20 February 2001Publication History 208citation1,507DownloadsMetricsTotal Citations208Total Downloads1,507Last 12 Months37Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
The role of miR-26 in tumors and normal tissues (Review) (2011)

miR-26, a functional miRNA, has received much attention from researchers in recent years. miRNAs may play crucial roles in numerous biological processes such as cell proliferation, apoptosis, tumorigenesis at different stages of non-tumor diseases, growth and development of normal tissues, and other biological processes. The expression of miR-26 has been found to be specific to different biological processes. Furthermore, its expression is frequently abnormal in tumors, indicating that miR-26 may play significant roles in tumor formation. Various reports exist regarding miR-26 involvement in non-tumor diseases, as well as the process of growth and development of normal tissues. In this review, we report findings of recent studies on the expression of miR-26 in different types of diseases and the process of growth and development and its predicted target genes in different tissue types. In conclusion, it is useful for researchers to understand the role of miR-26 in different biological processes.
A systolic vector quantization processor for real-time speech coding (2005)

The architecture and implementation of a novel VLSI bit-level systolic Vector Quantization processor is described. This architecture offers very high data throughput for real-time processing applications. Given a codebook of size <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</tex> and dimension <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</tex> , an input vector can be quantized every <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</tex> clock cycles, compared to O(kN) cycles for a Single-Instruction, Single-Data (SISD) machine. Any distortion measure which can be expressed as a Euclidean vector inner product can be computed with this array.
Effect of environmental flow management on river water quality: a case study at Yeongsan River, Korea (2009)

This paper describes a management scheme to control river water quality using additional water discharges from upstream dams, which results in an increase environmental flow (EF) followed by an enhancement of water quality in a target river. To suggest a creditable management plan among a suite of ideal scenarios, the monthly averaged water quality monitoring data from 2001 to 2006 at the Yeongsan (YS) River, Korea were investigated with respect to seasonal variation and spatial distribution. From the analysis, it was found that while biochemical oxygen demand (BOD(5)) level in the YS River was extremely high during the dry/drought season (April, May, and June; AMJ), the level was subsequently decreased during the monsoon season (July, August, and September; JAS) due mainly to the dilution effect of rainfall. To improve the water quality in AMJ, we here suggested a scenario of increasing EF using surplus water discharges from upstream dams, which was examined by one dimensional riverine water quality model, QUAL2E model. Simulation result showed that additional discharge from the upstream dams could lead, on average, to a 36% of water quality improvement in mainstream with respect to BOD(5). Model coefficients were validated by comparing the six year monitoring data to minimize a sum of squares error, and showed a good agreement with the observed data. Overall, the methodology developed in this paper appears to be quite clear and straightforward, and thus, can be applied to a wide range of the flow managements or water quality controls in a stream with artificial structures.
Amplitude signatures in fractured media (2020)

&amp;lt;p&amp;gt;Most of existing rocks are typically fractured that effectively result in anisotropic model of different complexity (Tsvankin and Grechka, 2011). The anisotropy signatures can be defined by traveltime and reflection&amp;amp;transmission amplitudes at plane interface between the rocks of different properties. Here, we focus on reflection amplitude by introducing the uniform approach to embed the fracture sets of different orientation. We utilize the linear slip theory (Schoenberg and Helbig, 1997) to add the fractures of arbitrary weakness parameters. The anisotropic model sequence consists of isotropic model (later used as a background), transversely isotropic model with a vertical symmetry axis (due to horizontal fracture set), orthorhombic model (due to horizontal and vertical fracture sets), monoclinic model with a horizontal symmetry plane (due to horizontal and two non-orthogonal vertical fracture sets) and triclinic model (due to horizontal, two non-orthogonal vertical and one inclined fracture sets). The general equation for the matrix of stiffness coefficients is given by the inverse sum of the fracture weakness matrices multiplied with density.&amp;amp;#160;The isotropic background stiffness coefficient matrix is defined by inverse of background weakness matrix. Each fracture weakness matrix generally has three independent parameters that are normal, tangential and horizontal weaknesses. In addition to these parameters, the fracture orientation angles in 3D space are also taken into account, and the rotation matrix is defined for each set of fractures. The uniform non-rotated weakness matrix can be chosen for brevity&amp;amp;#8217;s sake, however, all fracture sets might have their own weaknesses. We analyze the plane P wave reflection coefficient computed at plane interface between isotropic background and fractured background half-spaces. It is convenient to show reflection coefficient versus horizontal slowness projections. To compute reflection coefficients, we use the method developed by Jin and Stovas (2020).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The fracture sets of different orientation affect azimuthally dependent amplitude signatures. By using proposed method, the fracture set parameters and orientation can be estimated from seismic data.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;References&amp;lt;/strong&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Tsvankin, I., and V. Grechka, 2011, Seismology of azimuthally anisotropic media and seismic fracture characterization. SEG.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Schoenberg, M., and K. Helbig, 1997, Orthorhombic media: Modeling elastic wave behavior in avertically fractured earth. Geophysics, &amp;lt;strong&amp;gt;62&amp;lt;/strong&amp;gt;(2). 1954-1974.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Jin, S., and A. Stovas, 2020, Reflection and transmission approximations for monoclinic media with a horizontal symmetry plane. Geophysics (early view).&amp;lt;/p&amp;gt;
Biossegurança no desenvolvimento de vacinas e kits de diagnóstico (2008)

Empresas voltadas para a producao de imunobiologicos (vacinas, anticorpos monoclonais e imunodiagnostico) precisam estabelecer uma ampla gama de medidas de biosseguranca, capazes de garantir a seguranca de seus funcionarios, do publico (objetivo final) e do proprio produto nas suas varias etapas. Os laboratorios de pesquisa devem estar habilitados ao manuseio de patogenos. Podemos destacar os cuidados com o armazenamento/conservacao, bem como as condicoes de crescimento/cultura, cuidados com o manuseio e o descarte do patogeno em questao.
Prevalence of low back pain in the elderly population: a systematic review (2019)

The aim of this study was to estimate the prevalence of low-back pain (LBP) and to identify the level of functional disability in elderly individuals in different populations. From January 1985 to October 2018, a search was performed using the following databases: Embase, LILACS, SciELO, Scopus, Medline, and the Web of Science. The descriptors were low-back pain, back pain, lower-back pain, prevalence, and elderly in Portuguese and English. Two independent reviewers conducted a search for studies and evaluated their methodological quality. The search strategy returned 2186 titles, and 35 were included in this review. The studies evaluated 135,059 elderly individuals aged between 60 and 102 years, and the prevalence of LBP ranged from 21% to 75%. The levels of functional disability, as well as functional difficulties, activities of daily living, and physical capacity, were identified in 60% of the studies. This review indicated a high prevalence of LBP in elderly individuals and functional disability that affects factors important for independence. However, the studies used different methodologies, suggesting that more studies be conducted with scientific accuracy, methodological quality, and low risk of bias to contribute to the proposal of preventive actions for elderly populations.
Scandium triflate-catalyzed one-pot domino approach towards general and efficient syntheses of unsymmetrical 9-substituted xanthene derivatives (2010)

A general and efficient one-pot cascade/tandem approach to synthesize unsymmetrical 9-aryl/heteroaryl xanthenes has been developed under extremely mild reaction conditions using 10 mol% Sc(OTf)(3) as a catalyst. This strategy has been further extended to synthesize 9-(thioaryl) xanthenes through tandem carbon-sulfur (C-S) and carbon-carbon (C-C) bond formation. Novel C-C and C-S bond cleavage promoted by Sc(OTf)(3) is also discussed during mechanistic investigation.
Machine learning and MRI-based diagnostic models for ADHD: are we there yet? (2020)

Abstract Machine learning (ML) has been applied to develop magnetic resonance imaging (MRI)-based diagnostic classifiers for attention-deficit/hyperactivity disorder (ADHD). This systematic review examines this literature to clarify its clinical significance and to assess the implications of the various analytic methods applied. We found that, although most of studies reported the classification accuracies, they varied in choice of MRI modalities, ML models, cross-validation and testing methods, and sample sizes. We found that the accuracies of cross-validation methods inflated the performance estimation compared with those of a held-out test, compromising the model generalizability. Test accuracies have increased with publication year but were not associated with training sample sizes. Improved test accuracy over time was likely due to the use of better ML methods along with strategies to deal with data imbalances. Ultimately, large multi-modal imaging datasets, and potentially the combination with other types of data, like cognitive data and/or genetics, will be essential to achieve the goal of developing clinically useful imaging classification tools for ADHD in the future.
An Efficient Time Domain Code for Strength and Fatigue Analysis of Steel Catenary Risers (2015)

Steel Catenary Risers (SCRs) are commonly used in the offshore industry. Strength and fatigue performance of SCRs due to waves, currents and vessel motions is typically calculated using time domain dynamic analysis. Strength analysis may involve a large number of load cases for different environments, riser conditions and vessel configurations. Fatigue analysis may involve computation of riser response for hundreds of fatigue sea-states. It is very important for project schedule and cost that the analysis software used is both accurate and computer efficient. This paper presents RodDyn as an alternative time domain analysis tool for SCR strength and fatigue analysis. RodDyn is a finite element program for dynamic analysis of single-pipe risers. Several publications on this program are available in the literature. The results of dynamic analysis of an SCR for strength and fatigue from RodDyn are compared against the results from ABAQUS. ABAQUS is a general finite element program that has been widely used in the offshore exploration and production industry and has been considered one of the standard finite element programs. Riser dynamic analysis uses time series of vessel motions due to metocean environments at an oblique angle to the plane of the SCR. Von Mises stress per API RP 2RD, strength checks per API STD 2RD and fatigue damage along the riser are presented for both RodDyn and ABAQUS. Time series of effective tension and bending moments at selected locations on the riser are also compared. The main advantage of using RodDyn for riser analysis is the speed of computation. This paper shows that RodDyn can deliver significant gains in computational speed compared to standard riser analysis software programs without sacrificing accuracy of the computed results.
Optimal packing for cascaded regenerative transmission based on phase sensitive amplifiers (2013)

We investigate the transmission performance of advanced modulation formats in nonlinear regenerative channels based on cascaded phase sensitive amplifiers. We identify the impact of amplitude and phase noise dynamics along the transmission line and show that after a cascade of regenerators, densely packed single ring PSK constellations outperform multi-ring constellations. The results of this study will greatly simplify the design of future nonlinear regenerative channels for ultra-high capacity transmission.
A PDA-Based Wireless Biosensor Using Industry Standard Components (2004)

This paper presents the conception, design, implementation, and validation of an original, fully functional biosensor based on surface plasmon resonance (SPR) technology. We present the motivation for building this sensor followed by the system specification, a brief overview of the theory of operation for SPR physics, and then give a detailed description of the hardware design, software design, and immunoassay design. We present a novel, graphical approach for tracking shifts in SPR center frequency with an autocorrelation feature that minimizes component variation. Additionally, we present the wireless communications aspects of our design, which adds to its appeal for remote system deployment and autonomous operation. Our success demonstrates the immediate availability of all the hardware, software, and biological components required to construct a fully functional biosensor with industrial application.
Abstract 4015: Exposure of lymphatic endothelial cells to ionizing radiation increases the surface expression levels of integrin ligands (2016)

Abstract Radiotherapy has been proven an efficacious tool to combat cancer by directly destroying tumor cells. However, effects of radiotherapy have been also described that occur through the re-education of the immune tumor microenvironment, being leukocyte traffic regulation across the tumor vasculature of key importance. Here, we address the effects that radiotherapy may be causing on the adhesive properties of the tumor lymphatic vasculature. To study this, we irradiated primary and immortalized human and murine lymphatic endothelial cells grown in vitro, and fresh tumor explants obtained from colon cancer patients. As a result, we observed dose- and time- dependent increases in the expression of the integrin counter-receptors ICAM-1 and VCAM on the surface of the tumor lymphatic endothelial cells. These effects are also observed in vivo on colon (MC38) and melanoma (B16) tumors transplanted into syngeneic mice and irradiated with a single dose of 20 Gy. These findings are consistent with increased ICAM-1 and VCAM expression levels on Lymphatic endothelial cells in tumor biopsies from cancer patients which were taken before and four weeks after fractionated radiotherapy, including head and neck, colon and oropharyngeal human carcinomas. While the TGFβ pathway was found to be involved in these effects, NF-κB inhibitors did not hamper ICAM-1 or VCAM induction. In summary, these results show ICAM-1 and VCAM surface expression was enhanced on lymphatic vessels after radiotherapy and may explain differential leukocyte traffic following irradiation. Citation Format: Maria E. Rodriguez-Ruiz, Saray Garasa, Inmaculada Rodriguez, Alba Yanguas, Álvaro Teijeira, Ignacio Melero, Ana Rouzaut. Exposure of lymphatic endothelial cells to ionizing radiation increases the surface expression levels of integrin ligands. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4015.
Micro-Spectrometric Investigations of Inorganic Components of the Black Corals for Biomedical Applications (2005)

The distribution of about twenty inorganic elements was traced in the skeletons of black corals of the Antipathes salix species. Electron microprobe and PIXE mappings revealed the peculiar structure of this material, composed of the large cells (arranged in annual rings), surrounded by thin layers with an elevated level of iodine (up to 5%). Our current knowledge of the chemical composition of these corals’ skeleton is not complete. Essentially the organic skeleton is saturated with inorganic elements and several of these could be commercially important. In fact, they have never been investigated for biomedical applications. In this preliminary current work, black corals from the Antipathes salix species were studied with the aim of detecting the inorganic components of their matrix and their suitability as biomedical materials.
Stratification of telehealthcare for patients with chronic obstructive pulmonary disease using a predictive algorithm as decision support: A pilot study (2016)

Introduction The number of patients needing care who suffer from chronic obstructive pulmonary disease (COPD) is expected to increase in the future. The consequences thereof will increase the socio-economic burden for both patients and society. Telehealthcare technologies have shown potential in reducing hospitalisation-related costs and in improving health-related quality of life (HRQOL) for some COPD patients, but not all. The aim of this study was to investigate the potential of predictive algorithms for helping the general practitioner to stratify telehealthcare for COPD patients in a way that maximises HRQOL and minimises COPD-related costs. Methods Data from 553 COPD patients based in the North Denmark Region were analysed and used as predictors for four multiple linear regression models. The models were trained and evaluated for their abilities to predict individual patient's future health- and cost-related developments, with and without telehealthcare. Results The average root-mean-square error (RMSE) of the health and cost models was 5.265 HRQOL scores and US dollars (US$)5430.49, respectively. The accuracy regarding the polarity of the predicted changes ranged from 61-65% for the health models and 74-75% for the cost models. While differences in the magnitude of predictions with and without telehealthcare were statistically significant ( p < 0.01), the polarity of predictions was similar across models in 82.05% of all cases. Discussion Our results indicate that it may be possible to predict the magnitude and polarity of a COPD patient's future health- and cost-related developments with and without telehealthcare. Predictive algorithms may provide a useful decision support tool in stratifying telehealthcare for COPD patients.