Results 191 to 200 of about 18,244,857 (290)
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
Interpretable Short‐Term Electric Load Forecasting
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola +6 more
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A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
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An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander +2 more
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The Role of Glutamatergic and Dopaminergic Genes in Resistant Schizophrenia: A Systematic Review
ABSTRACT Psychosis is a heterogeneous disorder, with approximately one‐third of patients experiencing treatment resistance, predominantly among individuals diagnosed with Schizophrenia. Treatment‐resistant schizophrenia (TRS) may stem from a distinct biological signature, involving abnormalities in the dopaminergic and glutamatergic systems.
Maria Teresa Moreno‐Calle +3 more
wiley +1 more source
ABSTRACT Background Healing dynamics after anterior skull base (ASB) reconstruction following transnasal endoscopic surgery (TES) for sinonasal malignancies remain poorly characterized. This study aimed to describe the postoperative healing process, quantify time to healing, identify factors influencing healing, and assess radiologic evolution over ...
Giacomo Contro +22 more
wiley +1 more source
Objective Memory impairment is a frequent comorbidity of focal epilepsy, incompletely explained by seizure frequency or structural pathology. Ictal and postictal hippocampal dysfunction disrupt memory processes, but their cumulative impact remains poorly quantified.
Ionuț‐Flavius Bratu +5 more
wiley +1 more source
ABSTRACT Mayonnaise, a widely consumed oil‐in‐water emulsion, is highly susceptible to lipid oxidation due to its high content of polyunsaturated fatty acids (PUFAs) and the presence of pro‐oxidant factors such as low pH and iron from egg yolk. Over the past three decades, extensive research has focused on understanding oxidation mechanisms, analytical
Sakhi Ghelichi +2 more
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Abstract The human mandibular symphysis concentrates multiaxial loads during function and remodels throughout growth, but the precise mechanisms underlying cortical bone shape during growth remain relatively unexplored. Approaches based solely on thickness or external cortical contours provide only partial insights and do not capture the functional ...
Ana Ribeiro +3 more
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Abstract In a large sample of adult crab‐eating macaques, we quantified sexual dimorphism in size, shape, and covariance across the whole skull and among anatomical regions of the cranium and mandible. All regions showed significant mean sex differences, but the magnitude of size and shape dimorphism varied substantially.
Andrea Cardini, Paul O'Higgins
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