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Article
Improvement of textural and sensory characteristics of aged rice using hydrothermal treatment with xanthan gum
Aged rice (AR) was mildly heated in aqueous dispersions containing different amounts of xanthan gum (Xan) at 60 °C for 1 h, and then dried in a humidity chamber (50 °C, 80% RH) for 12 h. The AR kernels treated...
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Article
Open AccessDesign of hypoxia responsive CRISPR-Cas9 for target gene regulation
The CRISPR–Cas9 system is a widely used gene-editing tool, offering unprecedented opportunities for treating various diseases. Controlling Cas9/dCas9 activity at specific location and time to avoid undesirable...
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Article
Open AccessParticulate matter10-induced airway inflammation and fibrosis can be regulated by chitinase-1 suppression
Particulate matter10 (PM10) can induce airway inflammation and fibrosis. Recently, chitinase-1 has been shown to play key roles in inflammation and fibrosis. We aimed to investigate the effects of chitinase-1 inh...
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Article
CDK9 inhibitors downregulate DKK1 expression to suppress the metastatic potential of HCC cells
Elevated expression of Dickkopf-1 (DKK1) is frequently observed in hepatocellular carcinoma (HCC) patients with poor clinical outcomes. Several reports indicating the functional involvement of DKK1 in HCC prog...
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Article
GIWAXS Analysis on Preferred Orientation in Metal Halide Perovskite Films Via Alkylamines
We investigated the effects of the alkyl chain length of alkylamine ligands (AALs), known to modify metal halide perovskite crystallites, on the preferential alignment of the CsFAMA crystal domains using two-d...
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Article
Open AccessEffects of develo** scenario learning in a fundamental nursing course: a pilot study
This pilot study aimed to investigate the effects of develo** scenario learning (DSL) on team efficacy, systems thinking, and proactivity in problem-solving in a fundamental nursing course.
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Article
Open AccessMortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
Improving predictive models for intensive care unit (ICU) inpatients requires a new strategy that periodically includes the latest clinical data and can be updated to reflect local characteristics. We extracte...
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Article
Open AccessRelationship between the presence of dedicated doctors in rapid response systems and patient outcome: a multicenter retrospective cohort study
Rapid response systems (RRSs) improve patients’ safety, but the role of dedicated doctors within these systems remains controversial. We aimed to evaluate patient survival rates and differences in types of int...
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Article
Open AccessLow alanine aminotransferase as a risk factor for chronic obstructive pulmonary disease in males
Alanine aminotransferase (ALT) levels reflect skeletal muscle volume and general performance, which are associated with chronic obstructive pulmonary disease (COPD) development and prognosis. This study aimed ...
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Article
Deubiquitinase OTUD5 is a positive regulator of mTORC1 and mTORC2 signaling pathways
The mammalian Target of Rapamycin (mTOR) pathway regulates a variety of physiological processes, including cell growth and cancer progression. The regulatory mechanisms of these signals are extremely complex a...
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Article
Open AccessThe association between hospital length of stay before rapid response system activation and clinical outcomes: a retrospective multicenter cohort study
Rapid response system (RRS) is being increasingly adopted to improve patient safety in hospitals worldwide. However, predictors of survival outcome after RRS activation because of unexpected clinical deteriora...
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Book
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Chapter
Introduction
Deep learning has been popularly employed for analysis and forecasting in various fields. In this chapter, a brief introduction of deep learning is presented, including the definition and pros and cons of deep...
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Chapter
Data Preprocessing
Before applying a neural network model, the data must be preprocessed in advance. Data normalization must be made to avoid the difference of data variability for inputs and outputs. It also simplifies the para...
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Chapter
Improving Model Performance
In order improve the performance of a neural network model, a number of ways have been studied. In this chapter, minibatch and k-fold cross-validation are explained. The basic idea of these two methods is on c...
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Chapter
Tensorflow and Keras Programming for Deep Learning
Tensorflow is an end-to-end open-source platform for machine learning containing a comprehensive, flexible ecosystem of tools, libraries, and community resources (https://www.tensorflow.org/
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Chapter
Environmental Applications of Deep Learning
A case study of CNN, a spatial deep learning model, is presented in this chapter for analyzing water quality with remote sensing data. Airborne remote sensing of cyanobacteria with multispectral/hyperspectral ...
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Chapter
Mathematical Background
In this current chapter, the fundamental mathematical background is presented for a deep learning model. Linear simple and multiple regression models are explained, including the definition of error terms and ...
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Chapter
Updating Weights
Training a neural network is to update the weights to minimize a specified loss function and the gradient descent method has been employed. However, the number of weights exponentially grows, especially in a d...
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Chapter
Deep Learning for Spatial Datasets
Among recent developments of deep learning models, the availability of spatial datasets or images with deep learning is the most significant contribution. In this chapter, a convolutional neural network (CNN) ...
