PubMed Journals Articles About "Select" RSS

11:57 EDT 24th March 2019 | BioPortfolio

Select PubMed articles on BioPortfolio. Our PubMed references draw on over 21 million records from the medical literature. Here you can see the latest Select articles that have been published worldwide.

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Showing "Select" PubMed Articles 1–25 of 857

Bioethics of establishing a CHIM model for Dengue vaccine development.

Controlled Human Infection Models (CHIM) have been used in vaccine development to up-select and down-select potential vaccine candidates, provide proof of vaccine efficacy and have also been used as a basis for licensure of vaccines for cholera and typhoid by regulatory agencies.

The OMERACT stepwise approach to select and develop imaging outcome measurement instruments: the musculoskeletal ultrasound example.

To describe the OMERACT stepwise approach to select and develop an imaging instrument with musculoskeletal ultrasound (US) as example.

Helping patients select long-acting reversible contraceptives.

To reduce the rate of unintended pregnancies, patients should select a contraceptive option that fits their needs and lifestyle. Long-acting reversible contraceptives (LARCs) are a relatively safe and effective option. This article outlines the characteristics of available LARCs and identifies the appropriate method for specific patient populations.

Use of Expression Profiles of HBV DNA Integrated Into Genomes of Hepatocellular Carcinoma Cells to Select T Cells for Immunotherapy.

Hepatocellular carcinoma (HCC) is often associated with hepatitis B virus (HBV) infection. Cells of most HBV-related HCCs contain HBV DNA fragments that do not encode entire HBV antigens. We investigated whether these integrated HBV DNA fragments encode epitopes that are recognized by T cells and whether their presence in HCCs can be used to select HBV-specific T-cell receptors (TCRs) for immunotherapy.

Percutaneous edge-to-edge mitral valve repair may rescue select patients in cardiogenic shock: Findings from a single center case series.

Patients with severe mitral regurgitation (MR) and cardiogenic shock are typically too high risk for immediate surgery; however, percutaneous edge-to-edge mitral valve repair (pMVr) may be reasonable in select patients.

Recent advances in methylation: a guide for selecting methylation reagents.

Methylation is a well-known structural modification in organic and medicinal chemistry. This review summarizes recent advances in methylation by categorising specific methylation reagents. The challenges of mono N-methylation of aliphatic amines and N-methylation of peptides are discussed. This review can be useful for chemists to select the appropriate reagents for methylation chemistry. Based on the large diversity of methylation reagents and their wide scope, this review also broadens perspectives on whi...

How to select colorectal cancer patients for personalized therapy.

uEFS: An efficient and comprehensive ensemble-based feature selection methodology to select informative features.

Feature selection is considered to be one of the most critical methods for choosing appropriate features from a larger set of items. This task requires two basic steps: ranking and filtering. Of these, the former necessitates the ranking of all features, while the latter involves filtering out all irrelevant features based on some threshold value. In this regard, several feature selection methods with well-documented capabilities and limitations have already been proposed. Similarly, feature ranking is also...

Selection of the optimal trading model for stock investment in different industries.

In general, the stock prices of the same industry have a similar trend, but those of different industries do not. When investing in stocks of different industries, one should select the optimal model from lots of trading models for each industry because any model may not be suitable for capturing the stock trends of all industries. However, the study has not been carried out at present. In this paper, firstly we select 424 S&P 500 index component stocks (SPICS) and 185 CSI 300 index component stocks (CSICS)...

Thinking about the future: Comparing children's forced-choice versus "generative" responses in the "spoon test".

One of the most popular methods to assess children's foresight is to present children with a problem (e.g., locked box with no key) in one room and then later, in another room, give them the opportunity to select the item (e.g., key) that will solve it. Whether or not children choose the correct item to bring back to the first room is the dependent measure of interest in this "spoon test." Although children as young as 3 or 4 years typically succeed on this test, whether they would pass a more stringent v...

Research and analysis of cadmium residue in tomato leaves based on WT-LSSVR and Vis-NIR hyperspectral imaging.

The reliability and validity of Vis-NIR hyperspectral imaging were investigated for the determination of heavy metal content in tomato leaves under different cadmium stress. Besides, a method involving wavelet transform and least square support vector machine regression (WT-LSSVR) is proposed to select the optimal wavelength and establish the detection model. The Vis-NIR hyperspectral images of 405 tomato leaf samples were obtained and the whole region of tomato leaf sample spectral data was collected and p...

Selection of Protein-Protein Interactions of Desired Affinities with a Bandpass Circuit.

We have developed a genetic circuit in Escherichia coli that can be used to select for protein-protein interactions of different strengths by changing antibiotic concentrations in the media. The genetic circuit links protein-protein interaction strength to β-lactamase activity, while simultaneously imposing tuneable positive and negative selection pressure for β-lactamase activity. Cells only survive if they express interacting proteins with affinities that fall within set high- and low-pass thresholds, i...

Tau Immunoreactivity in Peripheral Tissues of Human Aging and Select Tauopathies.

Many studies have been directed at understanding mechanisms of tau aggregation and therapeutics, nearly all focusing on the brain. It is critical to understand the presence of tau in peripheral tissues since this may provide new insights into disease progression and selective vulnerability. The current study sought to determine the presence of select tau species in peripheral tissues in elderly individuals and across an array of tauopathies. Using formalin fixed paraffin embedded sections, we examined abdom...

Usefulness of dermoscopy/dermatoscopy to improve the clinical and histopathologic diagnosis of skin cancers.

Multiple studies have shown that dermoscopy increases the sensitivity and specificity for the detection of skin cancers compared to naked-eye examination. Dermoscopy can also lead to the detection of thinner and smaller cancers. Furthermore, dermoscopy leads to more precise selection of lesions requiring excision. In essence, dermoscopy helps clinicians differentiate benign from malignant lesions through the presence or absence of specific dermoscopic structures. Therefore, since most dermoscopic structures...

The coevolution of lifespan and reversible plasticity.

Reversible phenotypic plasticity, the ability to change one's phenotype repeatedly throughout life, can be selected for in environments that do not stay constant throughout an individual's lifetime. It might also mitigate senescence, as the mismatch between the environment and a non-plastic individual's traits is likely to increase as time passes. To understand why reversible plasticity may covary with lifespan, studies tend to assume unidirectional causality: plasticity evolves under suitable rates of envi...

Molecular screening to select therapy for advanced cancer?

Correction: Data mining MR image features of select structures for lateralization of mesial temporal lobe epilepsy.

[This corrects the article DOI: 10.1371/journal.pone.0199137.].

Mining Top-k Useful Negative Sequential Patterns via Learning.

As an important tool for behavior informatics, negative sequential patterns (NSPs) (such as missing a medical treatment) are sometimes much more informative than positive sequential patterns (PSPs) (e.g., attending a medical treatment) in many applications. However, NSP mining is at an early stage and faces many challenging problems, including 1) how to mine an expected number of NSPs; 2) how to select useful NSPs; and 3) how to reduce high time consumption. To solve the first problem, we propose an algorit...

Hierarchical Feature Selection for Random Projection.

Random projection is a popular machine learning algorithm, which can be implemented by neural networks and trained in a very efficient manner. However, the number of features should be large enough when applied to a rather large-scale data set, which results in slow speed in testing procedure and more storage space under some circumstances. Furthermore, some of the features are redundant and even noisy since they are randomly generated, so the performance may be affected by these features. To remedy these p...

An Efficient Genomic Signature Ranking Method for Genomic Island Prediction from a Single Genome.

Genomic islands that are associated with microbial adaptations and carry genomic signatures different from that of the host, and thus many methods have been proposed to select the informative genomic signatures from a range of organisms and discriminate genomic islands from the rest of the genome in terms of these signature bias. However, they are of limited use when closely related genomes are unavailable. In the present work, we proposed a kurtosis-based ranking method to select the informative genomic si...

Understanding the processes that Federally Qualified Health Centers use to select and implement colorectal cancer screening interventions: a qualitative study.

Colorectal cancer (CRC) screening is highly effective at reducing cancer-related morbidity and mortality, yet screening rates remain suboptimal. Evidence-based interventions can increase screening rates, particularly when they target multiple levels (e.g., patients, providers, health care systems). However, effective interventions remain underutilized. Thus, there is a pressing need to build capacity to select and implement multilevel CRC screening interventions. We report on formative research aimed at und...

Designing an In Silico Strategy to Select Tissue-Leakage Biomarkers Using the Galaxy Framework.

Knowledge-based approaches using large-scale biological ("omics") data are a powerful way to identify mechanistic biomarkers, provided that scientists have access to computational solutions even when they have little programming experience or bioinformatics support. To achieve this goal, we designed a set of tools under the Galaxy framework to allow biologists to define their own strategy for reproducible biomarker selection. These tools rely on retrieving experimental data from public databases, and applyi...

Origin of the Preferential Formation of Helicenes in Mallory Photocyclizations. Temperature as a Tool to Influence Reaction Regiochemistry.

The regiochemistry of four bis-Mallory photocyclization substrates have been examined from experimental and computational perspectives. Formation of all three possible regioisomers was only observed in the reaction of one of the substrates. In the other three substrates only the two C2-symmetric, but not the C1 product, were formed. In the three reactions that only formed two products the photocyclization temperature could be used to select for exclusive formation of one or the other regioisomer. The use of...

Correction: Obesity and response to anti-tumor necrosis factor-α agents in patients with select immune-mediated inflammatory diseases: A systematic review and meta-analysis.

[This corrects the article DOI: 10.1371/journal.pone.0195123.].

Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.

At present, the study of gene expression data provides a reference for tumor diagnosis at the molecular level. It is a challenging task to select the feature genes related to the classification from the high-dimensional and small-sample gene expression data and successfully separate the different subtypes of tumor or the normal from the patient. In this paper, we present a new method for tumor classification-relaxed Lasso (least absolute shrinkage and selection operator) and generalized multi-class support ...

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