Results 131 to 140 of about 4,348,185 (325)

Where, how, and how much? A multicenter cohort study of the relationship between lupus decision aid modality, place of administration, interruption and viewing completeness and patient‐reported outcomes

Arthritis Care &Research, Accepted Article.
Objective We assessed whether shared decision‐making (SDM), and patient acceptability, feasibility, and overall satisfaction with a computerized patient decision aid (PtDA) for patients with systemic lupus erythematosus (SLE), differs by PtDA setting, modality, and the viewing experience.
Jasvinder A. Singh, Mark Beasley, Larry R. Hearld, for the Implementing DEcision‐Aid for Lupus in clinics (IDEAL) Consortium   +3 more
wiley   +1 more source

XIX.—On the Polytremata (Foraminifera), especially with reference to their mythical hybrid nature [PDF]

, 1876
H.J. Carter
openalex   +1 more source

Virtual or in‐person: does it matter? Comparing pain, function, quality of life, self‐efficacy and physical function outcomes of virtual, hybrid and in‐person GLA:D Canada participants

Arthritis Care &Research, Accepted Article.
Objective This study aimed to determine if program format (in‐person, virtual, hybrid) results in differences in three‐month outcomes of pain, function, quality of life, self‐efficacy and chair stands in a hip/knee osteoarthritis management program. Methods A secondary analysis of the GLA:DTM Canada database was completed.
Jill Van Damme, Vanina Dal Bello‐Haas, Ayse Kuspinar, Patricia Strachan, Michael Zywiel, James Young, Rhona McGlasson, Lisa C. Carlesso   +7 more
wiley   +1 more source

Carex Sullivantii, Boott, a Hybrid [PDF]

, 1881
E. C. Howe
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Using a Supramolecular Approach to Engineer Modular Hydrogel Platforms for Culturing Protoplasts – from General Tissue Engineering to Cellular Agriculture

Advanced Biology, EarlyView.
Using supramolecular monomers, various hydrogel culture systems were formulated to culture protoplasts; including 2D, 2.5D, and 3D hydrogels. Depending on the culture platform, bioactive functionalization led to protoplast enlargement (2D and 2.5D) or plasmolysis (3D). This work shows the potential to modularly engineer synthetic platforms for cellular
Maritza M. Rovers, Erik J. Slootweg, Ferdinand C. O. Los, Patricia Y. W. Dankers   +3 more
wiley   +1 more source

LIN28B Promotes Cancer Cell Dissemination and Angiogenesis

Advanced Biology, EarlyView.
Children diagnosed with high‐risk neuroblastoma have a 5‐year event‐free survival rate of less than 50% and poor outcomes after recurrence. Deregulation of the LIN28B oncogene can be addressed in these patients. Upregulation of LIN28B is shown to support the metastatic cascade.
Diana Corallo, Sara Menegazzo, Marcella Pantile, Silvia Bresolin, Carlo Zanon, Alessandro Davini, Massimiliano Mazzone, Alessandra Biffi, Sanja Aveic   +8 more
wiley   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

Synthesis and Optical Properties of In2S3‑Hosted Colloidal Zn–Cu–In–S Nanoplatelets

ACS Omega, 2021
Ze Yuan, Lanlan Yang, Dongni Han, Guorong Sun, Chenyu Zhu, Yao Wang, Qiao Wang, Mikhail Artemyev, Jianguo Tang   +8 more
doaj   +1 more source