Results 171 to 180 of about 44,667 (215)

Standards for Computational Methods in Drug Design and Discovery: Simplified Guidance for Authors and Reviewers. [PDF]

Drug Des Devel Ther
Ibrahim TM, Hussain M, Boeckler FM.
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Fit for purpose: German contributions to the new ICRP recommendations. [PDF]

Radiat Environ Biophys
Birschwilks M, Azimzadeh O, Scholz-Kreisel P, Eidemüller M, Moertl S, Breustedt B, Li WB, Gruß M, Werner C, Steiner M, Gerstmann U, Woda C, Vogt J, Gering F, Winter KS, Mille EB, Giussani A, Akbarian GS, Pölzl-Viol C.   +18 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Financial influences and the primacy of patient welfare - an empirical and ethical analysis in German cancer medicine. [PDF]

BMC Med Ethics
Koenig JFL, Aufenberg B, Brei G, Reitmayer S, Sommerlatte S, Greiner W, Schildmann J, Winkler EC, Mehlis K.   +8 more
europepmc   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Acceptability of external control-arm use in nononcology health technology assessment submissions. [PDF]

J Comp Eff Res
Mangla KK, Kolovos S, Lisica A, Schlueter M, Nielsen NF.   +4 more
europepmc   +1 more source

Design Optimization of Soft Fabric Pneumatic Actuators

Advanced Intelligent Systems, EarlyView.
This study presents a systematic optimization framework for elongating and bending fabric‐based soft pneumatic actuators. After a preliminary design‐space reduction, the framework minimizes energy consumption under mechanical performance constraints by integrating validated finite element modeling with statistical surrogate models. Optimal designs were
Grigorios M. Chatziathanasiou, Konstantina Tsintzira, Panagiotis Polygerinos   +2 more
wiley   +1 more source

From the perspective of the Construal Level Theory: Examining the effect of psychological distance on system justification. [PDF]

Br J Soc Psychol
Scarci F, Bonora M, De Cristofaro V, Pellegrini V, Giacomantonio M.   +4 more
europepmc   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source