PubMed Journals Articles About "Celgene Overblown Revlimid Fears Stock Deep Territory" RSS

04:26 EST 18th January 2019 | BioPortfolio

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Showing "Celgene Overblown Revlimid Fears Stock Deep Territory" PubMed Articles 1–25 of 2,500+

Middle Cerebral Artery Atherosclerosis and Deep Subcortical Infarction: A 3T Magnetic Resonance Vessel Wall Imaging Study.

Deep subcortical infarction is a major subtype of stroke in middle cerebral artery (MCA) territory. This study aims to evaluate the relationship between characteristics of MCA plaque and features of deep subcortical infarction.

Cerebral Perfusion Territory Changes after Direct Revascularization Surgery in Moyamoya Disease: A Territory Arterial Spin Labeling Study.

To use the territory arterial spin labeling (T-ASL) technique in the early postoperative period to evaluate the revascularization area (RA) obtained by a bypass from the superficial temporal artery (STA) to the middle cerebral artery (MCA), and to evaluate the subsequent perfusion territory changes of the major cerebral arteries.

The Map and the Territory: Mapping the Territory Regulated by Serotonergic Signaling at Striatal Projection Neurons.

Behind women's body image-focused shame: Exploring the role of fears of compassion and self-criticism.

Recent studies seem to support that being open to compassion from self and others is key for psychological and social well-being. In particular, findings indicated that fears of affiliative emotions are associated with negative affect and difficulties in threat regulation. The current study examined a path model which tested the direct and indirect effect of fears of compassion on both externalized and internalized body image-related shame, and the potential mediator role of self-criticism on these relation...

To stock or not to stock? Implementation of epinephrine autoinjectors in food establishments.

Students' self-reported fears and the perceived origins thereof.

The objective of this study was to explore the five most frequently reported fears in a sample of university students, and investigate the origins of these fears. The study employed a cross-sectional design with convenience sampling. Data were collected using a self-report questionnaire and analysed using a combination of descriptive statistics and content analysis. Participants consisted of 544 first-year psychology students. This study identified academic failure, animals, general failure, losing loved on...

Mechanistic Models of Conflict between Ant Colonies and Their Consequences for Territory Scaling.

Territory size in social insects depends on the rules by which border conflicts are resolved. We present three mechanistic mathematical models of conflict, inspired by the behavior of the pavement ant Tetramorium immigrans, to predict the advantage of larger colonies in pairwise contests and the resulting scaling of territory size with worker force. The models track the number of ants in the nest traveling to and from the boundary or engaged at the boundary. Ants at the boundary base their recruitment respo...

Single women and stock investment in individual retirement accounts.

This study uses data from the 2013 Survey of Consumer Finances to investigate factors related to stock investment in individual retirement accounts and focuses on the role of gender and marital status in particular. This study finds that single women are less likely to own stocks and invest in fewer stocks in their IRAs. Personal characteristics, such as stock ownership in other financial assets, education level, and risk tolerance may play a key role in shaping individuals' decisions regarding stock invest...

Brief treatment for nighttime fears and co-sleeping problems: A randomized clinical trial.

Sixty-eight 4-6 year old children who co-slept with their parents and who avoided sleeping alone due to intense nighttime fears were randomized to a brief combined parent-based intervention (CBT-based bibliotherapy plus doll) or a wait list control group. After the waiting period, the wait list participants were offered treatment. Co-sleeping patterns, sleep records, anxiety, general fears, and behavior problems were assessed with parent-report measures. Nighttime fears were assessed with parent-report meas...

Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators.

This study focuses on predicting stock closing prices by using recurrent neural networks (RNNs). A long short-term memory (LSTM) model, a type of RNN coupled with stock basic trading data and technical indicators, is introduced as a novel method to predict the closing price of the stock market. We realize dimension reduction for the technical indicators by conducting principal component analysis (PCA). To train the model, some optimization strategies are followed, including adaptive moment estimation (Adam)...

Analysis of global stock index data during crisis period via complex network approach.

Considerable research has been done on the complex stock market, however, there is very little systematic work on the impact of crisis on global stock markets. For filling in these gaps, we propose a complex network method, which analyzes the effects of the 2008 global financial crisis on global main stock index from 2005 to 2010. Firstly, we construct three weighted networks. The physics-derived technique of minimum spanning tree is utilized to investigate the networks of three stages. Regional clustering ...

Artificial Intelligence and the Future of the Drug Safety Professional.

The healthcare industry, and specifically the pharmacovigilance industry, recognizes the need to support the increasing amount of data received from individual case safety reports (ICSRs). To cope with this increase, more healthcare and qualified professionals are required to capture and evaluate the data. To address the evolving landscape, it will be necessary to embrace assistive technologies such as artificial intelligence (AI) at scale. AI in the field of pharmacovigilance will possibly result in the tr...

Spatially-explicit estimate of soil nitrogen stock and its implication for land model across Tibetan alpine permafrost region.

Permafrost soils store a large amount of nitrogen (N) which could be activated under the continuous climate warming. However, compared with carbon (C) stock, little is known about the size and spatial distribution of permafrost N stock. By combining measurements from 519 pedons with two machine learning models (supporting vector machine (SVM) and random forest (RF)), we estimated the size and spatial distribution of N stock across the Tibetan alpine permafrost region. We then compared these spatially-expl...

A heterogeneous artificial stock market model can benefit people against another financial crisis.

This paper presents results of an artificial stock market and tries to make it more consistent with the statistical features of real stock data. Based on the SFI-ASM, a novel model is proposed to make agents more close to the real world. Agents are divided into four kinds in terms of different learning speeds, strategy-sizes, utility functions, and level of intelligence; and a crucial parameter has been found to ensure system stability. So, some parameters are appended to make the model which contains zero-...

Dynamic Geospatial Modeling of the Building Stock to Project Urban Energy Demand.

In the United States, buildings account for more than 40 percent of total energy consumption, and the evolution of the urban form will impact the effectiveness of strategies to reduce energy use and mitigate emissions. This paper presents a broadly applicable approach for modeling future commercial, residential, and industrial floorspace, thermal consumption (heating and cooling), and associated GHG emissions at the tax assessor land parcel level. The approach accounts for changing building standards and re...

Significant medical and surgical morbidity in perianal Crohn's disease: Results from a territory-wide study.

Presence of perianal fistulas in Crohn's disease (CD) denotes increased disease aggressiveness. We studied epidemiology and clinical outcomes of perianal CD (PCD) using Hong Kong territory-wide IBD Registry (HKIBDR).

Improving forecasting accuracy for stock market data using EMD-HW bagging.

Many researchers documented that the stock market data are nonstationary and nonlinear time series data. In this study, we use EMD-HW bagging method for nonstationary and nonlinear time series forecasting. The EMD-HW bagging method is based on the empirical mode decomposition (EMD), the moving block bootstrap and the Holt-Winter. The stock market time series of six countries are used to compare EMD-HW bagging method. This comparison is based on five forecasting error measurements. The comparison shows that ...

Longitudinal association between social anxiety disorder and incident alcohol use disorder: results from two national samples of US adults.

This study assessed the association between subclinical social fears and a 12-month diagnosis of Social Anxiety Disorder (SAD) at baseline and the risk of incident Alcohol Use Disorder (AUD) at follow-up, compared to those without subclinical social fears and a 12-month diagnosis of SAD. We performed an individual participant meta-analysis based on data from two national longitudinal surveys. Wave 1 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) was conducted in 2001-2002 in...

Sexually transmitted infections and preterm birth among Indigenous women of the Northern Territory, Australia: A case-control study.

The incidence of both sexually transmitted infection (STI) and preterm birth is high among Indigenous women in the Northern Territory, Australia. It was hypothesised that these factors are linked.

The hemodynamic and molecular mechanism study on the choke vessels in the multi-territory perforator flap transforming into true anastomosis.

The aim of this study was to explore the hemodynamic and morphological changes of the choke vessels, and to investigate the role of HIF-1α in the flap adaptation to hypoxic and choke vessel transformation after multi-territory perforator flap transplantation.

Reversal of Deep Pipecuronium-Induced Neuromuscular Block With Moderate Versus Standard Dose of Sugammadex: A Randomized, Double-Blind, Noninferiority Trial.

Certain surgical interventions may require a deep neuromuscular block (NMB). Reversal of such a block before tracheal extubation is challenging. Because anticholinesterases are ineffective in deep block, sugammadex 4 mg/kg has been recommended for the reversal of rocuronium- or vecuronium-induced deep NMB. However, this recommendation requires opening 2 vials of 200 mg sugammadex, which results in an increase in drug costs. Therefore, we sought a less expensive solution for the induction and reversal of dee...

Deep learning in omics: a survey and guideline.

Omics, such as genomics, transcriptome and proteomics, has been affected by the era of big data. A huge amount of high dimensional and complex structured data has made it no longer applicable for conventional machine learning algorithms. Fortunately, deep learning technology can contribute toward resolving these challenges. There is evidence that deep learning can handle omics data well and resolve omics problems. This survey aims to provide an entry-level guideline for researchers, to understand and use de...

Almost 90% of dentists have fears of being sued by patients.

Deep Learning Meets Game Theory: Bregman-Based Algorithms for Interactive Deep Generative Adversarial Networks.

This paper presents an interplay between deep learning and game theory. It models basic deep learning tasks as strategic games. Then, distributionally robust games and their relationship with deep generative adversarial networks (GANs) are presented. To achieve a higher order convergence rate without using a second derivative of the objective function, a Bregman discrepancy is used to construct a speed-up deep learning. Each player has a continuous action space which corresponds to weight space and aims to ...

Medical Application of Artificial Intelligence/Deep Learning.

Deep learning is a subset of the medical application of artificial intelligence. Its significant results are garnering attention, particularly in radiographic image interpretation, pathological diagnosis, gene analysis, and prediction of cancer recurrence. In this study, we summarize the concept of deep learning. The human body structure, from the molecule to physical functions, is a complex system. Deep learning is a new way to analyze its complex systems. An essential point of the analysis is the categori...

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