Results 181 to 190 of about 18,424,037 (238)

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Aggregation processes in customer rating systems - Insights from an economic decision experiment. [PDF]

PLoS One
van Straaten D, Mir Djawadi B, Melnikov V, Hüllermeier E, Fahr R.   +4 more
europepmc   +1 more source

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

Advanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin, Ying Yang, Chuyao Zhou, Hanyue Mao, Zhiquan Zhang, Libangxi Liu, Xiaoying Yu, Haoming Liu, Long Liu, Xiaoyan Wang   +9 more
wiley   +1 more source

Structural Divergence Between the Moltbook AI-Agent Network and Human Social Networks. [PDF]

Adv Sci (Weinh)
Hou W, Ji Z.
europepmc   +1 more source

Printable Piezoresistive Hybrid Hydrogels Based on 2D MoS2 for Flexible Pulse Sensing

Advanced Science, EarlyView.
Hybrid 1T‐MoS2‐based hydrogels are engineered through UV curing and 3D printing to achieve tunable electromechanical properties for wearable sensing. These soft architectures enhance mechanical stability and reproducible piezoresistive responses within the physiological pressure range.
Jenny Flores, Arianna Bertero, Luca Ceseracciu, Daniel Jiménez‐Boland, Sara Domenici, Mattia Bramini, Paola Sánchez‐Moreno, Erica Scarcelli, Domenico Galdiero, Pavel Fedorov, Daniil Karnaushenko, Rossella Sesia, Ignazio Roppolo, Micaela Pozzati, Mattia Spedicati, Nicolò Petrini, Marco Sangermano, Bartolomeo Coppola, Teresa Gatti   +18 more
wiley   +1 more source

Entangled States are Typically Incomparable. [PDF]

Commun Math Phys
Jain V, Kwan M, Michelen M.
europepmc   +1 more source

Evaporation Kinetics Engineering Suppressed Bimolecular Recombination in All‐Polymer Solar Cells

Advanced Science, EarlyView.
In this study, phenanthrene (Ph), a volatile solid additive with a weak tendency toward self‐aggregation, is introduced as a donor‐selective morphology regulator in benchmark all‐PSC systems. The moderate evaporation kinetics of Ph enable cooperative crystallization of donors and acceptors, leading to an increased fractal dimension with reduced donor ...
Dinglong Feng, Le Mei, Chao Li, Yuang Fu, Heng Liu, Luhang Xu, Pok Fung Chan, Zhixiang Yang, Yiming Wang, Chun‐Jen Su, U‐Ser Jeng, Patrick Wai‐Keung Fong, Lijian Zuo, Gang Li, He Yan, Jiaying Wu, Xian‐Kai Chen, Xinhui Lu   +17 more
wiley   +1 more source

Zero-Inflated Promotion Cure-Rate Models With Frailty and Flexible Activation Schemes. [PDF]

Biom J
Assunção D, Ramos PL, Tomazella V, Leão J, Osses L, Rodrigues A.   +5 more
europepmc   +1 more source

Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders

Advanced Science, EarlyView.
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley   +1 more source

Inverse Statistics of Active Matter Trajectories to Distinguish Interaction Kernel Anisotropy from Emergent Correlations. [PDF]

Bull Math Biol
Martina-Perez SF.
europepmc   +1 more source