Results 151 to 160 of about 362,860 (264)

Investigations of the Evolved Molecular Basis for Terpenoid Biosynthesis in Marine Sponges

open access: yesAdvanced Science, EarlyView.
Confirming and extending a previous observation in another Bubarida sponge, genomic and functional analyses of A. cavernosa reveal that sponges retain the mevalonate pathway and employ single α‐domain T1TSs and UbiA‐type TSs for terpenoid biosynthesis. The absence of T1TSs clustering with other biosynthetic genes tentatively suggests, based on limited ...
Fangyan Chen   +6 more
wiley   +1 more source

Overcoming Drug Resistance by Paclitaxel Resistance in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
In the murine triple‐negative breast cancer (TNBC) model, chemotherapy effectively increases tumor neoantigen burden (TNB). Here, the study constructs a liposomal nanovaccine using antigens derived from in vitro chemotherapy‐treated paclitaxel‐resistant TNBC 4T1 cells.
Bo Chen   +10 more
wiley   +1 more source

Unlocking academic success: the impact of time management on college students' study engagement. [PDF]

open access: yesBMC Psychol
Fu Y   +9 more
europepmc   +1 more source

NICE: A Two‐Step Non‐Invasive Framework for Embryo cfDNA Read Enrichment and Quality Assessment

open access: yesAdvanced Science, EarlyView.
The non‐invasive NICE framework, built on an ensemble stacking machine learning model, prioritizes embryos by analyzing cell‐free DNA from spent culture medium. By integrating multimodal signals, including genomic and epigenetic profiles, this automated approach standardizes morphological assessment without human bias, paving the way for more precise ...
Xueya Zhou   +6 more
wiley   +1 more source

Anatomy learning profiles in relation to student motivation and academic success: A multi-center cross-sectional study. [PDF]

open access: yesAnat Sci Educ
Barbian B   +9 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

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