Results 41 to 50 of about 7,150,509 (282)

Diversity and complexity in neural organoids

open access: yesFEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

A Dynamic Illumination-Constrained Spatio-Temporal A* Algorithm for Path Planning in Lunar South Pole Exploration

open access: yesRemote Sensing
Future lunar south pole missions face dual challenges of highly variable illumination and rugged terrain that directly constrain rover mobility and energy sustainability.
Qingliang Miao, Guangfei Wei
doaj   +1 more source

Southern Himalayas rainfall as a key driver of interannual variation of pre-monsoon aerosols over the Tibetan Plateau

open access: yesnpj Climate and Atmospheric Science, 2023
The Tibetan Plateau (TP) is one of the most climate-sensitive regions around the world. Aerosols imported from adjacent regions reach their peak during the pre-monsoon season and play a vital role in the TP environment.
Weichen Liu   +7 more
doaj   +1 more source

Ijon: Exploring Deep State Spaces via Fuzzing [PDF]

open access: yes2020 IEEE Symposium on Security and Privacy (SP), 2020
Although current fuzz testing (fuzzing) methods are highly effective, there are still many situations such as complex state machines where fully automated approaches fail. State-of-the-art fuzzing methods offer very limited ability for a human to interact and aid the fuzzer in such cases. More specifically, most current approaches are limited to adding
Cornelius Aschermann   +3 more
openaire   +1 more source

Organizing the interface—Plasma membrane architecture and receptor dynamics in virus‐cell interactions

open access: yesFEBS Letters, EarlyView.
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley   +1 more source

Submersible Space Training Suit Preliminary Test Results and Review

open access: yes
Immediate accessThis item is made available by the University of Arizona Center for Human Space Exploration (CHaSE) with support from the University of Arizona Libraries.
Smith, Cameron, Tresch, Trent
core   +4 more sources

Control-Oriented Deep Space Communications for Unmanned Space Exploration

open access: yesIEEE Transactions on Wireless Communications
In unmanned space exploration, the cooperation among space robots requires advanced communication techniques. In this paper, we propose a communication optimization scheme for a specific cooperation system named the "mother-daughter system". In this setup, the mother spacecraft orbits the planet, while daughter probes are distributed across the ...
Xinran Fang   +4 more
openaire   +2 more sources

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

open access: yesFEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa   +2 more
wiley   +1 more source

Design and Analysis of a Micro–Electro-Mechanical System Thruster for Small Satellites and Low-Thrust Propulsion

open access: yesAerospace
As a cost-effective and versatile solution, small satellites are increasingly being considered for space exploration. However, one of the major challenges in deploying small satellites for high total impulse missions, particularly deep space exploration,
Yubin Zhong   +6 more
doaj   +1 more source

Model Optimization for Deep Space Exploration via Simulators and Deep Learning

open access: yesCoRR, 2020
Machine learning, and eventually true artificial intelligence techniques, are extremely important advancements in astrophysics and astronomy. We explore the application of deep learning using neural networks in order to automate the detection of astronomical bodies for future exploration missions, such as missions to search for signatures or ...
James Bird   +3 more
openaire   +3 more sources

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