Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Abstract It is common to split a dataset into training and testing sets before fitting a statistical or machine learning model. However, there is no clear guidance on how much data should be used for...
This review paper provides an overview of data pre-processing in Machine learning, focusing on all types of problems while building the machine learning problems. To decrease the dependency on trainin...
This research explores 2022 AHA/ACC/HFSA Guideline for the Management of Heart Fail..., contributing new insights to the field of Medicine & Biology.
Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processe...
AIM: The "2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure" replaces the "2013 ACCF/AHA Guideline for the Management of Heart Failure" and the "2017 ACC/AHA/HFSA Focused Update of the 2...
This research explores Segmentectomy versus lobectomy in small-sized peripheral non..., contributing new insights to the field of Medicine & Biology.
This research explores Endometrial cancer, contributing new insights to the field of Medicine & Biology.
The desire to understand how the brain generates and patterns behavior has driven rapid methodological innovation in tools to quantify natural animal behavior. SLEAP achieves greater accuracy and spee...
Transformer with self-attention has led to the revolutionizing of natural language processing field, and recently inspires the emergence of Transformer-style architecture design with competitive resul...
Recent advances in spatially resolved transcriptomics have enabled comprehensive measurements of gene expression patterns while retaining the spatial context of the tissue microenvironment. STAGATE co...
Biomechanical explanations for musculoskeletal pain are abundant and have been used for many years; however, researchers and clinicians are moving toward neuroscience-based explanations to study and e...
If perovskite solar cells (PSCs) with high power conversion efficiencies (PCEs) are to be commercialized, they must achieve long-term stability, which is usually assessed with accelerated degradation...
Inductive content analysis (ICA), or qualitative content analysis, is a method of qualitative data analysis well-suited to use in health-related research, particularly in relatively small-scale, non-c...
While CRISPR screens are helping uncover genes regulating many cell-intrinsic processes, existing approaches are suboptimal for identifying extracellular gene functions, particularly in the tissue con...
<italic>Business Research Methods</italic> contains new and revised chapters on quantitative methods and visual research, while cutting-edge material on inclusivity and bias in research, feminist pers...
Importance: Despite many cases being preventable, cutaneous melanoma remains the most serious skin cancer worldwide. If 2020 rates continue, the burden from melanoma is estimated to increase to 510 00...
This research explores Critical advances and future opportunities in upcycling comm..., contributing new insights to the field of Engineering & Technology.
This research explores SARS-CoV-2 pathogenesis, contributing new insights to the field of Medicine & Biology.
Metabolomics is a field of systems biology that draws on the scientific methods of other groups to qualitatively or quantitatively characterize small molecule metabolites in organisms, revealing their...
Behavioral neuroscience underwent a technology-driven revolution with the emergence of machine-vision and machine-learning technologies. Here, we discuss the composition of a large behavioral dataset,...