Results 161 to 170 of about 42,506 (260)

Global and regional evaluation of Corythucha marmorata distribution under different spatial modeling conditions. [PDF]

Sci Rep
Byeon DH, Lee WH.
europepmc   +1 more source

Chemoproteomic Identification of AKT2 as a Paclitaxel‐Binding Protein via C─C Bond‐Linked Probe PTX‐4 in Paclitaxel‐Resistant Breast Cancer

Advanced Science, EarlyView.
ABSTRACT Breast cancer remains one of the most prevalent malignancies among women, and taxane‐based chemotherapies such as paclitaxel and docetaxel are central to standard treatment regimens. However, drug resistance in breast cancer limits therapeutic efficacy and contributes to recurrence and metastasis.
Kai Wang, Yuqing Yuan, Wei Shen, Xiuxiu Yang, Xiaokang Wu, Haihua Zhou, Yi Hu, Qing Zhu   +7 more
wiley   +1 more source

Coherent OAM generation from discrete chaotic phase surfaces. [PDF]

Sci Rep
Moriya N.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Enhancing educational assessment through automated question classification using a RoBERTa-based ensemble model. [PDF]

Sci Rep
Hamid M, Malik S, Saleem M, Zahary AT, Jaghdam IH.   +4 more
europepmc   +1 more source

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

Invasion Patterns and Niche Dynamics of the Pollinivorous Florida Calligrapher, <i>Toxomerus floralis</i> (Diptera: Syrphidae) in the Afrotropical Region. [PDF]

Ecol Evol
Muller B, Midgley J, Goergen G, Al Jahdhami A, Azo'o Ela M, Bellingan T, Cavaillès S, Copeland R, De Meyer M, Hauser M, Holmes A, Mengual X, Nève G, Reemer M, Skevington J, Ståhls G, Sinzinkayo E, Smit J, Ssymank A, Theron G, Jordaens K.   +20 more
europepmc   +1 more source

Cysteine Redox State Governs the Condensation Pathway of Hendra Virus W Protein and Differentially Impacts Type I IFN and NF‐κB Signaling

Advanced Science, EarlyView.
The cysteine redox state of the Hendra virus W (WHeV) protein controls assembly into fibrils or amorphous aggregates, with residues 2–29 required for fibrillation. In cells, WHeV forms different types of nuclear condensates. Impaired ability to form redox‐sensitive, non‐filamentous condensates reduces WHeV inhibition of the NF‐κB pathway, while it ...
Frank Gondelaud, Alexandre Lalande, Giulia Pesce, Auriane Bouchet, Carole Meunier, Christophe Bignon, Denis Ptchelkine, Yu Gu, Eva Ogire, Pierre‐Yves Lozach, Denis Gerlier, Cyrille Mathieu, Sonia Longhi   +12 more
wiley   +1 more source

RDE-DR: robust deep ensemble CNNs for automated diabetic retinopathy detection from fundus images. [PDF]

Sci Rep
Aiche I, Brik Y, Attallah B, Bouguerra O, Rabehi A, Habib M, Khafaga DS, El-Kenawy EM.   +7 more
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source