Results 181 to 190 of about 65,460 (275)

Dual‐Organelle Secretome Conjugation and Organ‐Uptake Tracking (DuO‐SCOUT) Enables Deep and Sensitive Mapping of the Secreted Proteins

open access: yesAdvanced Science, EarlyView.
A novel dual‐organelle proximity labeling platform, DuO‐SCOUT, decodes the complex landscape of systemic organ‐organ communication by capturing both classical and unconventional secretomes. Application in metabolic models maps the adipose‐to‐brain secretory relay, identifying selective extra‐hypothalamic sites for adipose‐derived factors and expanding ...
Fenglian Yang   +7 more
wiley   +1 more source

Forest Environmental Education in an Elementary School Using a Supplementary Textbook

open access: yesJapanese Journal of Environmental Education, 2018
Shinichi HATTORI   +4 more
openaire   +2 more sources

Herbivory‐Induced Stomatal Opening Triggers the Dispersal of an Invasive Insect Herbivore

open access: yesAdvanced Science, EarlyView.
The invasive leafminer Phthorimaea absoluta uniquely manipulates plant defenses by inducing stomatal opening in tomato. This response, mediated by the stomatal regulator IQM1, enhances the release of the repellent volatile benzaldehyde. This volatile triggers the dispersal of adult moths, facilitates colonization of new hosts, and leads to rapid ...
Limin Chen   +10 more
wiley   +1 more source

A Study of Forest Environmental Education at High School

open access: yesThe Japanese Forest Society Congress, 2010
openaire   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

open access: yesAdvanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang   +9 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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