Results 111 to 120 of about 92,913 (234)

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Enhancing genomic disorder prediction through Feynman Concordance and Interpolated Nearest Centroid techniques

Scientific Reports
Clinical biomedical applications of genomic technologies are extensive and provide possibilities to enhance healthcare covering the span of medical talents. Genome disorder prediction is an important issue in biomedical research.
Sofia Singh, Garima Shukla, Rahul Agrawal, Chetan Dhule, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene   +8 more
doaj   +1 more source

Evaluating the stability and efficacy of fractal-fractional models in reproductive cancer apoptosis with ABT-737

Journal of Inequalities and Applications
Cancer refers to a group of diseases characterized by the uncontrolled growth of abnormal cells. Conventional cancer therapies, such as chemotherapy and radiation therapy, often encounter issues like toxicity and resistance, primarily due to their ...
Kottakkaran Sooppy Nisar, M. Sivashankar, S. Sabarinathan, C. Ravichandran, V. Sivaramakrishnan   +4 more
doaj   +1 more source

Mathematical analysis of modified blood glucose insulin model through fractal fractional operators

Scientific Reports
This study presents an advanced mathematical perspective of a generalized diabetes model, emphasizing the critical complications associated with this disease, such as cardiovascular disease, kidney failure, nerve damage, vision problems, and weakened ...
F. Gassem, Abrar Zahir, Arafa Dawood, Mohammed Almalahi, Amjad Ali, Khaled Aldwoah   +5 more
doaj   +1 more source

Procrustean pseudo‐landmark methods in Python to measure massive quantities of leaf shape data

Applications in Plant Sciences, EarlyView.
Abstract Premise When examining leaf shapes that are different from one another, it can be difficult to compare both the overall leaf shape and points along the leaf margin in biologically and statistically meaningful ways. Methods To address this problem, we present a simple and user‐friendly leaf shape analysis method in Jupyter Notebook and Python ...
Asia Hightower, Svea Hall, Ricardo Urquidi Camacho, Alexandra Papamichail, Evan Adamski, Claudia Colligan, Aidan Deneen, Gabriel Dunn, Justine Haziza, Claire Henley, Arnan Pawawongsak, Lachlann Simms, Sean Ward, Manica Balant, Christopher Blackwood, Charles Cannon, Andrea Case, Aman Y. Husbands, Emily B. Josephs, Zoë Migicovsky, Eric Patterson, Yenny Alejandra Saavedra‐Rojas, Daniel H. Chitwood   +22 more
wiley   +1 more source

Metasurfaces and Metadevices for Topological Electromagnetic Waves

Advanced Physics Research, EarlyView.
Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie, Nilo Mata‐Cervera, Xi Xie, Yijie Shen   +3 more
wiley   +1 more source

Development of Raman Spectroscopy and Machine Learning Methods for Protein Aggregate Quantification: Application to BSA in Chromatographic Processes

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Protein aggregation poses a significant risk to biopharmaceutical product quality, as even minor amounts of oligomeric species can compromise efficacy and safety. Rapid and reliable detection of protein aggregates thus remains a major challenge in biopharmaceutical manufacturing.
Jakob Heyer‐Müller, Robin Schiemer, Lars Robbel, Michael Schmitt, Jürgen Hubbuch   +4 more
wiley   +1 more source

Anatomical Study and Classification of Foramina of the Squamous Part of the Temporal Bone

Clinical Anatomy, EarlyView.
ABSTRACT The postglenoid foramen (PGF) is a rarely reported anatomical variant of the temporal bone, with limited data on its morphology, prevalence, and clinical relevance, particularly in non‐European populations. This study aimed to investigate the anatomy and frequency of foramina located on the squamous part of the temporal bone, including the PGF,
Tawanrat Paensukyen, Pattita Kanjanapaisan, Napawan Taradolpisut, Nutmethee Kruepunga, Benrita Jitaree, Pakpoom Thintharua, Arada Chaiyamoon, Athikhun Suwannakhan   +7 more
wiley   +1 more source

Integration of High‐p, Low‐T CO2 Electrolysis with Pressure Swing Adsorption Purification

Chemie Ingenieur Technik, EarlyView.
We evaluate a high‐p low‐T CO2 electrolysis (LTCE) cell with a pressure swing adsorption (PSA) to compare cascade vs. recycle operation. Although a cascade yields high CO selectivity but limited yield, a full recycle achieves near‐quantitative CO production, highlighting gas recycling as essential for LTCE/PSA systems.
Martin Peters, Supriya Bhaskaran, Franz Bommas, Kevinjeorjios Pellumbi, Ulf‐Peter Apfel, Kai junge Puring   +5 more
wiley   +1 more source