Results 231 to 240 of about 720,784 (299)

Curvature Templates in Clinical Information Geometry: Fisher Manifolds, Relational Embeddings, and Worked Examples. [PDF]

Entropy (Basel)
Iancu DPT, Buzea CG, Nedeff F, Mirilă D, Nedeff V, Panainte-Lehaduș M, Tomozei CM, Agop M, Florin PT, Iancu RI, Ochiuz L, Vasincu D.   +11 more
europepmc   +1 more source

Health information technology in mainland China: I. Development and review

Journal of Intelligent Medicine, EarlyView.
Abstract In mainland China, Health Information Technology (HIT) is usually considered a practical combination of informatics and automation for medical care. In practice, HIT has been gradually integrated into daily affairs in most hospitals in China over the past decades.
Ting Shu, Xiwen Mo, Yonghui Li
wiley   +1 more source

Calibration‐Free Single‐Frame Super‐Resolution Fluorescence Microscopy

Laser &Photonics Reviews, EarlyView.
A deep learning framework reconstructs super‐resolved fluorescence images from a single dense camera frame, without any prior calibration or knowledge of the microscope. Trained solely on synthetic data, it generalizes across imaging setups and conditions.
Anežka Dostálová, Dominik Vašinka, Robert Stárek, Miroslav Ježek   +3 more
wiley   +1 more source

Traveling Fronts for (q,r)$(q, r)$‐Relativistic Operators: Existence and Asymptotic Properties

Mathematische Nachrichten, EarlyView.
ABSTRACT A new reaction–diffusion model governed by a (q,r)$(q, r)$‐relativistic type diffusion, generalizing the p$p$‐relativistic one and encompassing singular and/or degenerate diffusivity, is introduced. In the monostable case, some existence results for (decreasing) fronts are then provided, exploiting the study of a suitable two‐point problem ...
Pavel Drábek, Maurizio Garrione, Michaela Zahradníková   +2 more
wiley   +1 more source

Apathy in Parkinson's Disease: Distinguishing Overlapping Symptoms Via Network Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Anxiety, fatigue, and excessive daytime sleepiness (EDS) frequently co‐occur in Parkinson's disease (PD) and can influence the clinical determination of apathy. Objective To distinguish patient‐reported apathy from other non‐motor symptoms.
Joseph Seemiller, Abhimanyu Mahajan, Christopher B. Morrow, Joseph F. McGuire, Dawn Bowers, Kelly A. Mills, Gregory M. Pontone   +6 more
wiley   +1 more source

Inverse Design of Copolyamides via Sequence‐Sensitive Multifidelity Hybrid Models and Teacher–Student Genetic Algorithm

Materials Genome Engineering Advances, EarlyView.
A sequence‐sensitive multi‐fidelity hybrid modeling framework combined with a teacher‐student genetic algorithm enables the inverse design of copolyamides. The hybrid model balances prediction accuracy, sequence‑sensitivity, and computational cost. A two‑tier genetic algorithm can efficiently identify the monomer structures and ratios of copolyamides ...
Sheng Chen, Chaoran Huang, Jianan Hong, Yuquan He, Yuemeng Qiao, Yang Zhao, Siqin Song, Jiaping Lin, Liang Gao   +8 more
wiley   +1 more source

Respiratory‐Resolved Isotropic 3D T1 Mapping of the Carotid Vessel Wall With B1+ Correction (CARISMAT1C)

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop, optimize, and characterize a respiratory motion‐resolved free‐running isotropic 3D carotid vessel wall T1 mapping technique named CARISMAT1C. Methods An inversion‐recovery gradient‐echo free‐running pulse sequence with interleaved double flip‐angle (2FA) was implemented, and an extended‐phase‐graph dictionary was used to ...
Isabel Montón Quesada, Céline Hirsch, Pauline Calarnou, Jean‐Baptiste Ledoux, Jérôme Yerly, Christopher W. Roy, Augustin C. Ogier, Ruud B. van Heeswijk   +7 more
wiley   +1 more source

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Application of Photogrammetry and Mesh Comparison in the Study of Human Cranial Morphology

International Journal of Osteoarchaeology, EarlyView.
ABSTRACT Photogrammetric methods for generating three‐dimensional (3D) models are becoming increasingly widespread in the fields of archaeology and biological anthropology. In particular, the study of the variability of skull morphology (generated by the ancestry of the individual or by the application of certain cultural practices) using 3D models is ...
Carlos Cancio Moreno, Javier Lescure, Antonio González‐Martín   +2 more
wiley   +1 more source

An Integrated Statistical and Machine Learning Framework for Predicting the Dry Sliding Tribological Behavior of CFRP and GFRP Composites Under Environmental Aging and Loading Conditions

Polymer Composites, EarlyView.
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık, İhsan Tuğal, Şemsettin Temiz   +2 more
wiley   +1 more source