Results 101 to 110 of about 20,940 (223)

Asymmetric Evolution of Antennal Cell Types Underlies a Derived Ammonia‐Sensing Logic for Ecological Adaptation in Bactrocera dorsalis

Advanced Science, EarlyView.
Comparative antennal single‐nucleus transcriptomics reveals cell‐type‐dependent transcriptomic divergence in Bactrocera dorsalis, with similar structural cells but divergent sensory neurons. This neuronal diversification is associated with a distinct ammonia‐sensing pathway, linking female attraction to bird‐dropping‐associated cues with nutritional ...
Wei Liu, Shuai Zhang, Jie Zhang, Zhen Tian, Yuanbo Xue, Ling Yang, Jun Xu, Guirong Wang   +7 more
wiley   +1 more source

Desiderata for a biomedical knowledge network: opportunities, challenges and future directions. [PDF]

Bioinform Adv
Wu C, Liu H, Flannick J, Musen MA, Su AI, Hunter LE, Powers TM, Wu CH.   +7 more
europepmc   +1 more source

Highly Sensitive Spatial Host‐Microbiome Transcriptomics in FFPE Tissues via Iterative Hydrogel Expansion

Advanced Science, EarlyView.
Ex‐spRandom is a spatial transcriptomics platform that synergizes random‐primed chemistry with iterative hydrogel expansion. By physically decrowding the dense FFPE matrix, this scalable technology shatters the traditional resolution‐sensitivity barrier.
Shunji Zhang, Mengyuan Wang, Jiaye Chen, Yuyi Zhu, Bin Zhu, Ziye Xu, Yuan Liao, Yongcheng Wang   +7 more
wiley   +1 more source

BlastoDB: first release of a community-driven multi-omics and epidemiological resource for <i>Blastocystis</i> biology and subtyping. [PDF]

Open Res Eur
Kwoji ID, Edwards W, Ruffell A, Shaw D, Denoyelle C, Figuiredo A, Guadano-Procesi I, Makkimane J, Pantzi K, Godfrey A, Gentekaki E, Stensvold CR, Kolisko M, Tsaousis A.   +13 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced 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, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Research information systems and knowledge graphs: a review. [PDF]

Front Res Metr Anal
Haris M, Auer S, Stocker M.
europepmc   +1 more source

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

Advanced 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, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

A framework for reproducibly managing coupled research software and data assets based on shared transformation functions. [PDF]

Patterns (N Y)
Kuckertz P, Fuchs B, Schönau J, Gardian H, Knosala K, Arellano Ruiz ES, Göpfert J, Gils HC, Weinand JM, Jochem P, Linßen J, Stolten D.   +11 more
europepmc   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath, Varsha Kashanner, Soumya Kulkarni, Vishal Sorathiya, Anitha Bamani, Rajveer Singh Rajaura, Mahaveer Kurkuri, Shambhulinga Aralekallu, Yogendra Kumar Mishra   +8 more
wiley   +1 more source

Multifaceted human gut microbiome data associated with health and nutrition. [PDF]

Front Microbiol
Maisto L, Telegrafo C, Rubino F, Santamaria M, Traka MH, Tullo A, Bouwman J, Sbisà E, Balech B.   +8 more
europepmc   +1 more source