The present invention provides a system including: a protein having a domain that binds a membranal component; an inlet for sample flow, an Isotachophoresis (ITP) system and a flow generating means connected or coupled to the aqueous parts of the ITP. The invention also provides a method for detecting and or sorting cells with this system.

The invention relates to a high-voltage dry apparatus having a semiconductor layer (2) covered by a metal screen (3), this screen (3) being eliminated so as to expose this semiconductor layer (2) over a length, this cable being connected to an element of equipment having an outer envelope (6) mechanically connected to said screen. According to the invention, an electronic monitoring arrangement (20) is contained within said envelope (6), this electronic arrangement (20) being electrically connected to an electrical power supply arrangement (21) surrounding said semiconductor layer (2) and to the metal screen (3) of said cable on either side of said length of the exposed semiconductor layer.

The invention relates to compositions comprising composite materials comprised of discontinuous fibers and one or more polymers and/or oligomers. The invention relates to methods of making the same. The composite materials can be in the form of compositions, composite sheets, laminates, pellets, and/or shaped composite products.

Companies need DevOps professionals who can help their teams ship high-quality products and services quickly and reliably. Earning the Azure DevOps Engineer Expert certification validates your DevOps expertise, helping you become more competitive both within your current organization and in the job market at large. In this course, instructor Robby "Sap" Millsap helps you prepare for the Microsoft Azure DevOps Solutions (AZ-400) exam—the required exam for this certification—by exploring the concepts covered in the test's Implement Continuous Integration domain. Sap works through key exam topics, including strategies for managing code quality, integrating security analysis tools into your build process, and planning build dependencies. Whether you're studying for the AZ-400 exam—or you just want to take a deeper dive into continuous integration with Azure DevOps—this course can help you acquire the skills you need to be successful. (Author: Robby Millsap)

In this introductory series on Bluemix and Bluemix Continuous Delivery, you'll discover how using these products can prevent you from wasting time. You learn how to quickly and easily deploy a simple application, deploy an app that makes use of a Bluemix service, and write code that uses a new Bluemix service. You'll even try out the Web IDE (no setup required) and learn how to use agile planning tools. As a bonus to all of the knowledge you'll get by working through the examples in this series, you also get an application that checks the prices of items in online stores for you, so you don’t have to surf the web to see if your favorite items are on sale!

In this introductory series on Bluemix and Bluemix Continuous Delivery, you'll discover how using these products can prevent you from wasting time. Using the simple app created in Part 1, learn how to deploy an app that makes use of a Bluemix service in Part 2. Continue to Part 3, where you learn how to write code that uses the new Bluemix service. In Part 4, learn how to use the Delivery Pipeline service to deploy your app to Bluemix automatically whenever you or someone else on your team pushes code to your project's repository.

Check out deployment automation on IBM App Connect (formerly known as WebSphere Cast Iron) by using IBM App Connect Management APIs, the SoapUI client, and Jenkins.

A Northern Territory man who "continuously" sexually abused his two young stepdaughters will spend at least 12 years in prison after a jury found him guilty of nine child sex offences.

Purpose and Key Results of the Position The Engineering and Continuous Improvement Manager is responsible for leading the engineering and continuous improvement team, providing the technical direction necessary for defining, maintaining, and improving site and facility manufacturing processes and u

Tư liệu: Thăm Hoa Kỳ tháng 4/1973, Thủ tướng Singapore bày tỏ sự e ngại về Bắc Kinh nhưng sẵn sàng giúp cả hai nước VN 'tái thiết, phục hồi'.

Tiến sĩ Vũ Minh Khương phỏng đoán Chủ tịch nước Nguyễn Phú Trọng sẽ 'ân xá' cho tử tù Hồ Duy Hải

L. Bernal-González, H. J. Cabana-Méndez, G. A. Muñoz-Fernández and J. B. Seoane-Sepúlveda
Trans. Amer. Math. Soc. 373 (2020), 3063-3083.
Abstract, references and article information

N. N. Leonenko, I. Papić, A. Sikorskii and N. Šuvak
Theor. Probability and Math. Statist. 99 (2020), 137-147.
Abstract, references and article information

D. V. Gusak and E. V. Karnaukh
Theor. Probability and Math. Statist. 99 (2020), 77-89.
Abstract, references and article information

Phạm Tiến Sơn
Proc. Amer. Math. Soc. 148 (2020), 2739-2741.
Abstract, references and article information

Mohamed Jleli, Bessem Samet and Philippe Souplet
Proc. Amer. Math. Soc. 148 (2020), 2579-2593.
Abstract, references and article information

Nancy J. D'Hondt
Oct 1, 2008; 21:255-261
Articles

Janet L. Kelly
Aug 1, 2014; 27:218-223
Pharmacy and Therapeutics

Respiratory gating is the standard to overcome respiration effects degrading image quality in positron emission tomography (PET). Data-driven gating (DDG) using signals derived from PET raw data are promising alternatives to gating approaches requiring additional hardware. However, continuous bed motion (CBM) scans require dedicated DDG approaches for axially-extended PET, compared to DDG for conventional step-and-shoot scans. In this study, a CBM-capable DDG algorithm was investigated in a clinical cohort, comparing it to hardware-based gating using gated and fully motion-corrected reconstructions. Methods: 56 patients with suspected malignancies in thorax or abdomen underwent whole-body ¹⁸F-FDG CBM-PET/CT imaging using DDG and hardware-based respiratory gating (pressure-sensitive belt gating, BG). Correlation analyses were performed on both gating signals. Besides static reconstructions, BG and DDG were used for optimally-gated PET (BG-OG, DDG-OG) and fully motion-corrected PET (elastic motion correction; BG-EMOCO, DDG-EMOCO). Metabolic volumes, SUV_max and SUVmean of lesions were compared amongst the reconstructions. Additionally, the quality of lesion delineation in different PET reconstructions was independently evaluated by three experts. Results: Global correlation coefficients between BG and DDG signals amounted to 0.48±0.11, peaking at 0.89±0.07 when scanning the kidney and liver region. In total, 196 lesions were analyzed. SUV measurements were significantly higher in BG-OG, DDG-OG, BG-EMOCO and DDG-EMOCO compared to static images (P<0.001; median SUV_max: static, 14.3±13.4; BG-EMOCO, 19.8±15.7; DDG-EMOCO, 20.5±15.6; BG-OG, 19.6±17.1; DDG-OG, 18.9±16.6). No significant differences between BG-OG and DDG-OG, and BG-EMOCO and DDG-EMOCO, respectively, were found. Visual lesion delineation was significantly better in BG-EMOCO and DDG-EMOCO than in static reconstructions (P<0.001); no significant difference was found comparing BG and DDG (EMOCO, OG, respectively). Conclusion: DDG-based motion-compensation of CBM-PET acquisitions outperforms static reconstructions, delivering qualities comparable to hardware-based approaches. The new algorithm may be a valuable alternative for CBM-PET systems.

Continuous glucose monitor (CGM) readings are delayed relative to blood glucose, and this delay is usually attributed to the latency of interstitial glucose levels. However, CGM-independent data suggest rapid equilibration of interstitial glucose. This study sought to determine the loci of CGM delays. Electrical current was measured directly from CGM electrodes to define sensor kinetics in the absence of smoothing algorithms. CGMs were implanted in mice, and sensor versus blood glucose responses were measured after an intravenous glucose challenge. Dispersion of a fluorescent glucose analog (2-NBDG) into the CGM microenvironment was observed in vivo using intravital microscopy. Tissue deposited on the sensor and nonimplanted subcutaneous adipose tissue was then collected for histological analysis. The time to half-maximum CGM response in vitro was 35 ± 2 s. In vivo, CGMs took 24 ± 7 min to reach maximum current versus 2 ± 1 min to maximum blood glucose (P = 0.0017). 2-NBDG took 21 ± 7 min to reach maximum fluorescence at the sensor versus 6 ± 6 min in adipose tissue (P = 0.0011). Collagen content was closely correlated with 2-NBDG latency (R = 0.96, P = 0.0004). Diffusion of glucose into the tissue deposited on a CGM is substantially delayed relative to interstitial fluid. A CGM that resists fibrous encapsulation would better approximate real-time deviations in blood glucose.

Tadej Battelino
Aug 1, 2019; 42:1593-1603
International Consensus Report

Dorothee Deiss
Dec 1, 2006; 29:2730-2732
BR Emerging Treatments and Technologies

Thomas Danne
Dec 1, 2017; 40:1631-1640
Continuous Glucose Monitoring and Risk of Hypoglycemia

Kirstine J. Bell
Jun 1, 2015; 38:1008-1015
Type 1 Diabetes at a Crossroads

Richard M. Bergenstal
Nov 1, 2018; 41:2275-2280
Perspectives in Care

Guillermo E. Umpierrez
Aug 1, 2018; 41:1579-1589
Diabetes Care Symposium

Thomas Danne
Dec 1, 2017; 40:1631-1640
Continuous Glucose Monitoring and Risk of Hypoglycemia

Tadej Battelino
Aug 1, 2019; 42:1593-1603
International Consensus Report

OBJECTIVE

To determine if temporal glucose profiles differed between 1) women who were randomized to real-time continuous glucose monitoring (RT-CGM) or self-monitored blood glucose (SMBG), 2) women who used insulin pumps or multiple daily insulin injections (MDIs), and 3) women whose infants were born large for gestational age (LGA) or not, by assessing CGM data obtained from the Continuous Glucose Monitoring in Women With Type 1 Diabetes in Pregnancy Trial (CONCEPTT).

OBJECTIVE

Despite evidence of a relationship among obstructive sleep apnea (OSA), metabolic dysregulation, and diabetes, it is uncertain whether OSA treatment can improve metabolic parameters. We sought to determine effects of long-term continuous positive airway pressure (CPAP) treatment on glycemic control and diabetes risk in patients with cardiovascular disease (CVD) and OSA.

James Chamberlain
Jul 1, 2013; 31:106-109
Feature Articles

Genova : G. Bonaudo, 1812.

A major difficulty of solving continuous POMDPs is to infer the multi-modal distribution of the unobserved true states and to make the planning algorithm dependent on the perceived uncertainty. We cast POMDP filtering and planning problems as two closely related Sequential Monte Carlo (SMC) processes, one over the real states and the other over the future optimal trajectories, and combine the merits of these two parts in a new model named the DualSMC network. In particular, we first introduce an adversarial particle filter that leverages the adversarial relationship between its internal components. Based on the filtering results, we then propose a planning algorithm that extends the previous SMC planning approach [Piche et al., 2018] to continuous POMDPs with an uncertainty-dependent policy. Crucially, not only can DualSMC handle complex observations such as image input but also it remains highly interpretable. It is shown to be effective in three continuous POMDP domains: the floor positioning domain, the 3D light-dark navigation domain, and a modified Reacher domain.

Leif Döring, Philip Weissmann.

Source: Bernoulli, Volume 26, Number 2, 980--1015.

Abstract:
Conditioning stable Lévy processes on zero probability events recently became a tractable subject since several explicit formulas emerged from a deep analysis using the Lamperti transformations for self-similar Markov processes. In this article, we derive new harmonic functions and use them to explain how to condition stable processes to hit continuously a compact interval from the outside.

Joseph Antonelli, Giovanni Parmigiani, Francesca Dominici.

Source: Bayesian Analysis, Volume 14, Number 3, 825--848.

Abstract:
In observational studies, estimation of a causal effect of a treatment on an outcome relies on proper adjustment for confounding. If the number of the potential confounders ( $p$ ) is larger than the number of observations ( $n$ ), then direct control for all potential confounders is infeasible. Existing approaches for dimension reduction and penalization are generally aimed at predicting the outcome, and are less suited for estimation of causal effects. Under standard penalization approaches (e.g. Lasso), if a variable $X_{j}$ is strongly associated with the treatment $T$ but weakly with the outcome $Y$ , the coefficient $eta_{j}$ will be shrunk towards zero thus leading to confounding bias. Under the assumption of a linear model for the outcome and sparsity, we propose continuous spike and slab priors on the regression coefficients $eta_{j}$ corresponding to the potential confounders $X_{j}$ . Specifically, we introduce a prior distribution that does not heavily shrink to zero the coefficients ( $eta_{j}$ s) of the $X_{j}$ s that are strongly associated with $T$ but weakly associated with $Y$ . We compare our proposed approach to several state of the art methods proposed in the literature. Our proposed approach has the following features: 1) it reduces confounding bias in high dimensional settings; 2) it shrinks towards zero coefficients of instrumental variables; and 3) it achieves good coverages even in small sample sizes. We apply our approach to the National Health and Nutrition Examination Survey (NHANES) data to estimate the causal effects of persistent pesticide exposure on triglyceride levels.

Anna L. Smith, Dena M. Asta, Catherine A. Calder.

Source: Statistical Science, Volume 34, Number 3, 428--453.

Abstract:
We review the class of continuous latent space (statistical) models for network data, paying particular attention to the role of the geometry of the latent space. In these models, the presence/absence of network dyadic ties are assumed to be conditionally independent given the dyads’ unobserved positions in a latent space. In this way, these models provide a probabilistic framework for embedding network nodes in a continuous space equipped with a geometry that facilitates the description of dependence between random dyadic ties. Specifically, these models naturally capture homophilous tendencies and triadic clustering, among other common properties of observed networks. In addition to reviewing the literature on continuous latent space models from a geometric perspective, we highlight the important role the geometry of the latent space plays on properties of networks arising from these models via intuition and simulation. Finally, we discuss results from spectral graph theory that allow us to explore the role of the geometry of the latent space, independent of network size. We conclude with conjectures about how these results might be used to infer the appropriate latent space geometry from observed networks.

Lei Liu, Ya-Chen Tina Shih, Robert L. Strawderman, Daowen Zhang, Bankole A. Johnson, Haitao Chai.

Source: Statistical Science, Volume 34, Number 2, 253--279.

Abstract:
Zero-inflated nonnegative continuous (or semicontinuous) data arise frequently in biomedical, economical, and ecological studies. Examples include substance abuse, medical costs, medical care utilization, biomarkers (e.g., CD4 cell counts, coronary artery calcium scores), single cell gene expression rates, and (relative) abundance of microbiome. Such data are often characterized by the presence of a large portion of zero values and positive continuous values that are skewed to the right and heteroscedastic. Both of these features suggest that no simple parametric distribution may be suitable for modeling such type of outcomes. In this paper, we review statistical methods for analyzing zero-inflated nonnegative outcome data. We will start with the cross-sectional setting, discussing ways to separate zero and positive values and introducing flexible models to characterize right skewness and heteroscedasticity in the positive values. We will then present models of correlated zero-inflated nonnegative continuous data, using random effects to tackle the correlation on repeated measures from the same subject and that across different parts of the model. We will also discuss expansion to related topics, for example, zero-inflated count and survival data, nonlinear covariate effects, and joint models of longitudinal zero-inflated nonnegative continuous data and survival. Finally, we will present applications to three real datasets (i.e., microbiome, medical costs, and alcohol drinking) to illustrate these methods. Example code will be provided to facilitate applications of these methods.

What is continuous improvement and why are schools and districts jumping on that bandwagon?

Nasal continuous positive airway pressure (NCPAP) is a noninvasive ventilatory support that may reduce the need for mechanical ventilation in preterm infants with respiratory distress syndrome. Heliox, a helium-oxygen mixture, has shown positive effects, especially in obstructive diseases.

NCPAP with heliox reduces the need for mechanical ventilation in preterm infants with respiratory distress syndrome in comparison with NCPAP with medical air. (Read the full article)

Heart rate continues to be the single most important indicator of well-being in a newborn. Availability of a reliable method to determine heart rate in the first minute would help determine resuscitation interventions, particularly for the extremely premature infant.

Electrocardiograms can provide a reliable, continuous heart rate in the most premature infants in the first minute of resuscitation compared with pulse oximeters. (Read the full article)

Nasal continuous positive airway pressure (NCPAP) is commonly given to premature infants with nasal prongs and nasal masks. Prongs and masks appear to injure the nose of preterm infants with equal frequency.

Nasal masks are more effective than nasal prongs for preventing intubation and mechanical ventilation in premature infants within 72 hours of starting NCPAP. (Read the full article)

Doxorubicin therapy, effective against many malignancies, is limited by cardiotoxicity. Continuous-infusion doxorubicin, compared with bolus-infusion, reduces early cardiotoxicity in adults. Its effectiveness in reducing late cardiotoxicity in children remains uncertain.

This multicenter randomized trial assessed whether continuous-infusion of doxorubicin in pediatric patients provides long-term cardioprotection or improvement in event-free survival over bolus-infusion in acute lymphoblastic leukemia. Continuous-infusion of doxorubicin provided no cardioprotection or improvement in event-free survival. (Read the full article)

Continuously aerosolized albuterol been shown to be safe and effective for the treatment of severe status asthmaticus in the emergency department and ICU. Little evidence supports its use in the non–intensive care setting.

With the appropriate resources and support, continuous albuterol may be administered in the non–ICU setting with a low incidence of clinical deterioration and adverse effects. Certain clinical factors may help identify which patients may benefit from higher acuity care. (Read the full article)

In a previous short-term physiologic randomized controlled trial, continuous positive airway pressure by helmet was feasible and efficient in improving gas exchange in pediatric acute respiratory failure due to bronchiolitis.

Continuous positive airway pressure administered by helmet reduces the rate of noninvasive respiratory support failure and provides longer application time with less sedation than a facial mask. In addition, it is safe to use and free from adverse events. (Read the full article)

Pharmacokinetic changes are often seen in patients with severe infections. Administration by continuous infusion has been suggested to optimize antibiotic exposure and pharmacokinetic/pharmacodynamic (PK/PD) target attainment for β-lactams. In an observational study, unbound piperacillin concentrations (n=196) were assessed in 78 critically ill patients following continuous infusion of piperacillin/tazobactam (ratio 8:1). The initial dose of 8, 12 or 16 g (piperacillin component) was determined by individual creatinine clearance (CRCL). Piperacillin concentrations were compared to the EUCAST clinical breakpoint MIC for Pseudomonas aeruginosa (16 mg/L), and the following PK/PD targets were evaluated: 100% fT>1xMIC and 100% fT>4xMIC. A population pharmacokinetic model was developed using NONMEM 7.4.3 consisting of a one-compartment disposition model with linear elimination separated into non-renal and renal (linearly increasing with patient CRCL) clearances. Target attainment was predicted and visualized for all individuals based on the utilized CRCL dosing algorithm. The target of 100% fT>1xMIC was achieved for all patients based on the administered dose, but few patients achieved the target of 100% fT>4xMIC. Probability of target attainment for a simulated cohort of patients showed, that increasing the daily dose by 4 g increments (piperacillin component) did not result in substantially improved target attainment for the 100% fT>4xMIC target. To conclude, in patients with high CRCL combined with high-MIC bacterial infections, even a CI regimen with a daily dose of 24 g may be insufficient to achieve therapeutic concentrations.

BACKGROUND AND OBJECTIVES:

The albuterol dropper bottle used to prepare solutions for continuous nebulization contains the preservative benzalkonium chloride (BAC). BAC, by itself, has been shown to cause bronchospasm. We hypothesized that BAC would decrease the therapeutic efficacy of albuterol in patients with acute asthma exacerbations.

With increasing interest in Continuous Integration/Continuous Delivery (CI/CD), many SAS Users want to know what can be done for Visual Analytics reports. In this article, I will explain how to use Python and SAS Viya REST APIs to extract a report from a SAS Viya environment and import it into another environment.

Continuous Integration/Continuous Delivery – Using Python and REST APIs for SAS Visual Analytics reports was published on SAS Users.