Results 121 to 130 of about 10,899,927 (248)
Advanced Energy Materials, EarlyView.This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Advanced Energy Materials, EarlyView.While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo +7 more
wiley +1 more source
Revista Cubana de Hematología, Inmunología y Hemoterapia, 2012 Se hizo una evaluación de la calidad de vida en 45 pacientes mayores de 60 años con isquemia arterial crónica de miembros inferiores; de ellos, 34 con isquemia severa y 11 con pie diabético isquémico, también con lesiones severas.
Amel Alfonso-Simón +3 more
doaj
Advanced Intelligent Discovery, EarlyView.This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
Advanced Intelligent Discovery, EarlyView.We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Continuous electrocardiogram monitoring in porcine model of myocardial ischemia reperfusion
Animal Models and Experimental Medicine, EarlyView.Wearable technology for continuous electrocardiogram monitoring can be utilized in porcine models of disease. Abstract As cardiovascular disease is the leading cause of global mortality, innovative animal models are vital to demonstrating the translational value of experimental discoveries. Investigations focused on myocardial remodeling after ischemia
Nathaniel Hyams +8 more
wiley +1 more source
Characterization of inflammatory pseudotumors in a large animal model of liver cancer
Animal Models and Experimental Medicine, EarlyView.CT images in arterial and portal venous phases of liver lesions in Oncopig. Abstract Background The development of relevant and robust large animal models of hepatocellular carcinoma is needed to test new therapeutic strategies for this disease. Transgenic approaches hold promise in addressing this complex problem. One such model, the Oncopig, has been
Erik N. K. Cressman +4 more
wiley +1 more source
Pro‐Inflammatory c‐Met+ CD4 T Cells in Multiple Sclerosis
Annals of Neurology, EarlyView.Objective Hepatocyte growth factor (HGF) binds exclusively the c‐Met surface receptor, and the HGF/c‐Met axis regulates T cell function in autoimmune diseases. We analyzed c‐Met expression on human CD4 T cells in the blood and cerebrospinal fluid (CSF) from patients with multiple sclerosis (MS) versus non‐inflammatory neurological disease (NIND), to ...
Gautier Breville +6 more
wiley +1 more source