Results 131 to 140 of about 596,856 (273)

Multimodal Optical Imaging and Modulation with Simultaneous Electrophysiology Through Smart Dura in Non‐Human Primates

open access: yesAdvanced Science, EarlyView.
This study demonstrates multimodal integration in non‐human primates, combining large‐scale, high‐density electrophysiology using Smart Dura with optical techniques such as multiphoton imaging (MPI), photothrombotic lesioning, optical coherence tomography angiography (OCTA), wide‐field intrinsic signal optical imaging (ISOI), and optogenetics.
Nari Hong   +10 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Nanoscale Spatial Organization of ARC High‐ and Low‐Order Assemblies at Excitatory Synapses

open access: yesAdvanced Science, EarlyView.
ARC (Activity‐Regulated Cytoskeleton‐Associated protein) mediates synaptic plasticity by forming nanoscale assemblies in neurons. Using super‐resolution microscopy and time‐resolved anisotropy with targeted tagging, the study reveals low‐order ARC assemblies at synapses colocalizing with AMPARs, semi‐circular structures at endocytic zones, and 60–80 nm
Martina Damenti   +13 more
wiley   +1 more source

Prognostic value of the CRM-status in pancreatic ductal adenocarcinoma - data from a regional cancer registry

open access: yesBMC Cancer
Background Ductal pancreatic adenocarcinoma (PDAC) still has a dismal prognosis even when deemed resectable. A cancer free resection margin (R0) is associated with a more favourable prognosis than the presence of tumour cells at resection margin (R1 ...
Jasmin Schuhbaur   +9 more
doaj   +1 more source

Hierarchical MXene/ZnO Nanorods: WO3/CNT Trilayer Coatings on Cotton for High‐Performance Multifunctional Wearable Fabrics

open access: yesAdvanced Science, EarlyView.
xx xx. ABSTRACT Fabric‐based wearable electronics are gaining increasing attention owing to their flexibility, breathability, biocompatibility, and seamless integration into clothing. However, most existing studies rely primarily on metallic or carbon‐based conductive materials.
Thirumalaisamy Suryaprabha   +6 more
wiley   +1 more source

Organic Crystal‐MXene Composites as Temperature‐Tolerant Strain Sensors

open access: yesAdvanced Science, EarlyView.
ABSTRACT Flexible organic crystals offer significant opportunities for organic electronics; however, their potential applications in fields like flexible sensors are at present limited by poor charge transport that result in failure under reversible conditions.
Xuesong Yang   +10 more
wiley   +1 more source

Mechanoadaptation via Myosin Cytoplasmic Redistribution Protects Circulating Tumor Cells From Shear‐induced Death During Hematogenous Dissemination

open access: yesAdvanced Science, EarlyView.
This study investigates how CTCs survive varying shear stress during hematogenous metastasis. We uncover a self‐protection mechanism, by which non‐adherent CTCs adapt to high shearing milieu through accumulated cytoplasmic myosin‐mediated disruption of myosin‐actin binding, attenuating force transmission into chromatin to protect CTCs from shear ...
Cunyu Zhang   +10 more
wiley   +1 more source

Highly Aligned Bacteria Cellulose Yarn Aggregation for Energy Generation and Strain Sensing

open access: yesAdvanced Science, EarlyView.
Although high‐performance bacterial cellulose fibers have attracted significant interest for wearable electronics, a self‐powered and high‐mechanosensitive design is still scarce for achieving an intelligent integrated system. Here, we demonstrate an innovative bio‐fabrication strategy to develop a core‐sheath yarn that features the ordered network and
Chong Gao   +9 more
wiley   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

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