Results 121 to 130 of about 516,622 (298)

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

Advanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel, Nikolas Ebert, Denis Abu Sammour, Sebastian Graf, Björn C. Fröhlich, Emrullah Birgin, Shad A. Mohammed, Nuh N. Rahbari, Axel Wellmann, Oliver Wasenmüller, Cleo‐Aron Weis, Stefan Schmidt, Carsten Hopf   +12 more
wiley   +1 more source

Children and Young Adults Factor Merit Into Their Judgments of Gender-Based Science Resource Inequalities. [PDF]

Dev Sci
Forbes MB, Sims RN, Killen M.
europepmc   +1 more source

Stabilization of Single Metal Atoms on Graphitic Carbon Nitride: Synthetic Strategies and Emerging Applications

Advanced Science, EarlyView.
This review highlights recent advancements in stabilizing single metal atoms on graphitic carbon nitride emphasizing innovative synthesis strategies and emerging applications in electrocatalysis, photocatalysis and organic transformations, along with key challenges and future perspective. Abstract Emerging as a new frontier in catalysis science, single‐
Wenyao Zhang, Junjie Cui, Zhenjie Yao, Boyuan Zhu, Nithinraj Panangattu Dharmarajan, Ajayan Vinu, Junwu Zhu   +6 more
wiley   +1 more source

Exploring the role of micro-valence in the phenomenal space: insights from similarity judgments and deep learning models. [PDF]

Neurosci Conscious
Mentec I, Ivanchei I, Cleeremans A.
europepmc   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Targeting PRKCN, an Essential Driver Orchestrating mTOR‐IRF4 Axis Independently of Kinase Activity, in Multiple Myeloma

Advanced Science, EarlyView.
Constitutive PRKCN expression is driven by super‐enhancers and modulated by NF‐κB signaling in multiple myeloma (MM). PRKCN activates mTORC1/2‐IRF4 signaling axis and favors tumor cell growth independently of its kinase activity. IRF4 reciprocally promotes PRKCN transcription, creating a feed‐forward loop.
Koukou Tang, Dongpeng Jiang, Peng Ke, Xiaosen Bian, Lili Zhang, Ying Zhang, Tingting Zhu, Weiwei Qu, Wenhui Qi, Yang Xu, Chengcheng Fu, Depei Wu, Jianhong Chu   +12 more
wiley   +1 more source

False memories and biased judgments for physical touch: the role of misinformation on eyewitness reports. [PDF]

Front Psychol
Battista F, Lanciano T, Zappimpulso P, Puleo F, Mangiulli I, Curci A.   +5 more
europepmc   +1 more source

Tailored Organogel Systems for Optimized Pesticide Delivery: Mechanistic Insights and Agricultural Applications

Advanced Science, EarlyView.
Utilizing molecular engineering for network design, three pesticide‐loaded organogels (PLOs) carriers exhibiting varying degrees of flexibility were prepared. The mechanical properties of these carriers, tunable via their network molecular structures, enhance their structural adaptability and retention stability at biological interfaces, thereby ...
Yue Wang, SiYu Xv, Chao Wu, Nan Li, GuoPeng Teng, XuePing Huang, Jian Luo   +6 more
wiley   +1 more source

Lateralized costs of divided attention to faces. [PDF]

Atten Percept Psychophys
Lee SC, Strother L.
europepmc   +1 more source

Machine Learning‐Guided Engineering of Protein Phase Separation Properties in Immune Regulation

Advanced Science, EarlyView.
PScalpel, a machine learning model integrating protein structure extraction, graph contrastive learning, and a genetic algorithm, guides the engineering of protein phase separation ability. It adopts transfer learning methods to provide predictive recommendations for protein phase separation ability changes through single amino acid mutations in a ...
Chenqiu Zhang, Jia Wang, Zhe Wang, Liyan Zhu, Sihui Cai, Luzhi Zhan, Haorui Liang, Yaoxing Wu, Jianqiang Li, Jun Cui   +9 more
wiley   +1 more source