Results 21 to 30 of about 1,493 (129)

Neural Network‐Based Detection of Adulterants in Opioid Samples Using IR Absorption Spectroscopy

Drug Testing and Analysis, EarlyView.
We construct a neural network for the classification of bromazolam and fluorofentanyl in illicit opioid samples. The model outperforms a random forest classifier and shows elevated performance for low concentration samples. ABSTRACT Community‐based drug checking services are challenged in their ability to reliably detect low concentration adulterants ...
Joshua Jai, Lea Gozdzialski, Bruce Wallace, Chris G. Gill, Dennis Hore   +4 more
wiley   +1 more source

Data‐Driven Marketing Processes: A Roadmap for Big Data Analytics Adoption in a Brazilian SaaS SME

Knowledge and Process Management, EarlyView.
ABSTRACT Small and medium‐sized enterprises (SMEs) often face unique challenges in integrating advanced digital technologies due to limited resources and organizational constraints. While much attention has been given to large firms' adoption of big data analytics (BDA) and artificial intelligence (AI), less is known about how SMEs can leverage these ...
Fabricio Venancio, Carlos Roberto De Rolt, Denilton Darold   +2 more
wiley   +1 more source

An analytical modeling framework for breast cancer progression and treatment evaluation

Healthcare Analytics
This paper presents a mathematical model of breast cancer composed of six compartments: one representing tumor cells, two representing cytokine populations, and three representing immune cell types.
H. Gholami, M. Gachpazan, M. Erfanian, M. Hasanzadeh   +3 more
doaj   +1 more source

Optically Bound Rapid Plasmonic Nanorod Dimers: Anisotropic Dynamics Driven by Light‐Fluidic Cooperation

Laser &Photonics Reviews, EarlyView.
Optically confined gold nanorods exhibit cooperative light‐driven dynamics, forming mobile end‐to‐end dimers with orientation‐dependent propulsion. Using structured laser traps and an opto‐thermo‐hydrodynamic model, we uncover how optical binding, polarization‐induced torque, and near‐surface hydrodynamics govern their motion.
José A. Rodrigo, Tatiana Alieva
wiley   +1 more source

FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The aim of this study is to evaluate a deep variational network, FlowVN, for the reconstruction of heavily undersampled 4D Flow MRI across multiple sites. Methods FlowVN was trained on fully sampled 4D Flow MRI datasets of healthy volunteers from one site. The model was tested on retrospective undersampled data (R = 6–22) of six normal
Sohaib Ayaz Qazi, Tamara Bianchessi, Federica Viola, Chiara Trenti, Erik Ylipää, Tino Ebbers, Petter Dyverfeldt   +6 more
wiley   +1 more source

A step into the shadows: Evolutionary shifts in fruit structure and dispersal strategies in Asian mycoheterotrophic Ericaceae

PLANTS, PEOPLE, PLANET, EarlyView.
This study examines how the fruits of non‐photosynthetic forest plants in the Monotropoideae (Ericaceae) have evolved into the diversity observed today. By analyzing four Asian species, we identified a shift from dry, dehiscent fruits that release seeds into the air to fleshy, berry‐like fruits adapted for animal dispersal.
Alexey N. Sorokin, Kenji Suetsugu, Olga V. Yatsenko, Mikhail S. Romanov, Nikita S. Zdravchev, Petr S. Iovlev, Anton S. Timchenko, Anna A. Mikhaylova, Kirill V. Kuptsov, Alexey V. F. Ch. Bobrov   +9 more
wiley   +1 more source

Predicting the coupling of HPEM waveform with a power amplifier in perforated conductive enclosure using FDDM/VF

IET Science, Measurement & Technology
One of the most common methods to protect electronic and telecommunication systems in a high‐power electromagnetic (HPEM) environment is using a conductive enclosure.
Ali Kalantarnia, Abdollah Mirzabeigi
doaj   +1 more source

The non‐hydrostatic option of the ECMWF global weather forecast model: Improvements for kilometre‐scale modelling

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents improvements to the non‐hydrostatic version of the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), enabling stable global simulations at 1.4‐km resolution. A systematic comparison with the hydrostatic version at resolutions from 9 to 1.4 km shows that non‐hydrostatic effects emerge in ...
Jozef Vivoda, Inna Polichtchouk, Michail Diamantakis, Filip Váňa   +3 more
wiley   +1 more source

Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang, Benjamin Calmbach, Jaime A. Moreno, Johann Reger   +3 more
wiley   +1 more source

Vector Field‐Based Collision‐Free Navigation in Tunnel‐Like Environments

Journal of Field Robotics, EarlyView.
ABSTRACT Tunnel‐like environments, renowned for their vast scale, confined spaces, and limited visibility, present significant challenges for autonomous robot navigation. This study addresses the critical issue of guiding robots through such environments while ensuring collision‐free navigation and maintaining a specified safety margin from both tunnel
Bao Jianjun, Licheng Feng, Yueqi Wang, Kai Zhao, Binghao Li, Liao Wu   +5 more
wiley   +1 more source