Results 161 to 170 of about 55,995 (279)

Counting Spinal Phylogenetic Networks. [PDF]

Bull Math Biol
Francis A, Hendriksen M.
europepmc   +1 more source

Automation of Surgical Workflow Recognition: Unveiling the Surgical Instrument Kinematics that Underly Robot‐Assisted Prostatectomy Procedures

Advanced Intelligent Discovery, EarlyView.
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets, Matthias N. van Oosterom, Vera A. Ottens, Henk G. van der Poel, Fijs W. B. van Leeuwen   +4 more
wiley   +1 more source

Tile-X: A vertex reordering approach for scalable long read assembly. [PDF]

iScience
Bhowmik O, Kalyanaraman A.
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Band Gap Tuneability in Antiperovskite‐Based Nitrides AE3PnN and Imides AE5Pn2(NH)2 (AE = Ca, Sr; Pn = As, Sb, Bi)

Angewandte Chemie, EarlyView.
A series of imide‐based defect antiperovskites AE5Pn2(NH)2 (AE = Ca, Sr; Pn = As, Sb, Bi) has been synthesized using the ammonothermal method. DFT calculations and spectroscopy revealed direct band gaps suitable for photovoltaic absorber materials. The discovered compounds can further be used as precursors for the synthesis of AE3PnN antiperovskites as
Thanh G. Chau, Florian Wolf, Dan Han, Saloni, Teak D. Boyko, Stefan S. Rudel, Thomas Bein, Hubert Ebert, Alexander Moewes, Wolfgang Schnick   +9 more
wiley   +2 more sources

Efficient service mesh traffic management for cloud-native applications. [PDF]

PLoS One
Ahmed R, Ren S, Kim E, Lee C.
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

A novel computational study of reverse degree topological indices and entropies for nanostar dendrimers. [PDF]

Sci Rep
Qummer AA, Saqib M, Ali S, Ashebo MA, Jumaniyazov S.   +4 more
europepmc   +1 more source

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

Advanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source

Parallel median consensus clustering in complex networks. [PDF]

Sci Rep
Hussain MT, Halappanavar M, Chatterjee S, Radicchi F, Fortunato S, Azad A.   +5 more
europepmc   +1 more source