Limbic-predominant age-related TDP-43 encephalopathy (LATE): consensus working group report
PT Nelson, DW Dickson, JQ Trojanowski, CR Jack… - Brain, 2019 - academic.oup.com
We describe a recently recognized disease entity, limbic-predominant age-related TDP-43
encephalopathy (LATE). LATE neuropathological change (LATE-NC) is defined by a …
encephalopathy (LATE). LATE neuropathological change (LATE-NC) is defined by a …
Fluorescence based explosive detection: from mechanisms to sensory materials
The detection of explosives is one of the current pressing concerns in global security. In the
past few decades, a large number of emissive sensing materials have been developed for …
past few decades, a large number of emissive sensing materials have been developed for …
Immune cells within the tumor microenvironment: Biological functions and roles in cancer immunotherapy
X Lei, Y Lei, JK Li, WX Du, RG Li, J Yang, J Li, F Li… - Cancer letters, 2020 - Elsevier
The immune cells within the tumor microenvironment (TME) play important roles in
tumorigenesis. It has been known that these tumor associated immune cells may possess …
tumorigenesis. It has been known that these tumor associated immune cells may possess …
Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease
Eleven susceptibility loci for late-onset Alzheimer's disease (LOAD) were identified by
previous studies; however, a large portion of the genetic risk for this disease remains …
previous studies; however, a large portion of the genetic risk for this disease remains …
Toward integrating feature selection algorithms for classification and clustering
This paper introduces concepts and algorithms of feature selection, surveys existing feature
selection algorithms for classification and clustering, groups and compares different …
selection algorithms for classification and clustering, groups and compares different …
[PDF][PDF] Feature selection for high-dimensional data: A fast correlation-based filter solution
Feature selection, as a preprocessing step to machine learning, is effective in reducing
dimensionality, removing irrelevant data, increasing learning accuracy, and improving result …
dimensionality, removing irrelevant data, increasing learning accuracy, and improving result …
[PDF][PDF] Efficient feature selection via analysis of relevance and redundancy
Feature selection is applied to reduce the number of features in many applications where
data has hundreds or thousands of features. Existing feature selection methods mainly focus …
data has hundreds or thousands of features. Existing feature selection methods mainly focus …
Amplifying STING activation by cyclic dinucleotide–manganese particles for local and systemic cancer metalloimmunotherapy
Nutritional metal ions play critical roles in many important immune processes. Hence, the
effective modulation of metal ions may open up new forms of immunotherapy, termed as …
effective modulation of metal ions may open up new forms of immunotherapy, termed as …
Fatty acid–induced NLRP3-ASC inflammasome activation interferes with insulin signaling
High-fat diet (HFD) and inflammation are key contributors to insulin resistance and type 2
diabetes (T2D). Interleukin (IL)-1β plays a role in insulin resistance, yet how IL-1β is induced …
diabetes (T2D). Interleukin (IL)-1β plays a role in insulin resistance, yet how IL-1β is induced …
Single-nucleotide polymorphism in the human mu opioid receptor gene alters β-endorphin binding and activity: possible implications for opiate addiction
C Bond, KS LaForge, M Tian, D Melia… - Proceedings of the …, 1998 - National Acad Sciences
Opioid drugs play important roles in the clinical management of pain, as well as in the
development and treatment of drug abuse. The mu opioid receptor is the primary site of …
development and treatment of drug abuse. The mu opioid receptor is the primary site of …