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In biology textbooks and beyond, the human genome and DNA therein typically are taught in only one dimension. While it can be ...
As summer kicks into full gear and people are spending more time outside, there's one thing on many people's minds—ticks.
Overview of the 30S The secondary structure diagram for 16S RNA is shown in Fig. 2a, along with the definitions for the standard helix numbering H1–H45 (ref. 13).
The company has integrated the AI model into its internal discovery pipeline and aims to use it in collaborative drug discovery programs.
What Is the Meaning of Organizational Structure?. Organizational structure is a system used to define a hierarchy within an organization. It identifies each job, its function and where it reports ...
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
New works presents a unified theoretical framework to describe the electronic structure of non-Hermitian systems, potentially leading to major advancements in condensed matter physics ...
Mesh is a type of data structure commonly used for 3-D shapes. Representation learning for 3-D meshes is essential in many computer vision and graphics applications. The recent success of ...
New work could help in the development of materials that host exotic coherent quantum states under ambient conditions ...
Structure diagrams are a visual way of breaking down a problem into smaller parts. They show how a problem is organised by dividing it into components and are frequently used when designing systems.
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Scientists reconstruct structure of the dopamine system to unravel its role in addictions and Parkinson’s diseaseAll of these effects depend on the puzzle-like system that is molecular biology. The structure of a neurotransmitter such as dopamine determines which part of the cells it can fit into and what effect ...
The others are two “no-learning” unsupervised methods: graph structure preserving graph convolution (GGC) and its multiscale version GGCM, both aiming to preserve the graph structure information ...
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