Results 81 to 90 of about 757,960 (318)

Investigating effects from restricted diffusion in multi-component diffusion data

, 2014
We have investigated model systems in which effects from non-Gaussian restricted diffusion could be separated from effects caused by multiple diffusion coefficients. We applied various models to analyze the experimental data.
Pavlin, Tina, Seland, John Georg
core  

Diff-OSGN: Diffusion-based occlusal surface generation network with geometric constraints

Computational Visual Media
Designing a functional occlusal surface for denture crowns is a complex and important task in prosthodontics. Manual design is time-consuming and heavily relies on the dentist's experience, as it requires careful consideration of occlusal function.
Chen Wang, Guangshun Wei, James Kit Hon Tsoi, Zhiming Cui, Shuyi Lu, Zhenpeng Liu, Yuanfeng Zhou   +6 more
doaj   +1 more source

Ambigram Generation by a Diffusion Model

, 2023
Ambigrams are graphical letter designs that can be read not only from the original direction but also from a rotated direction (especially with 180 degrees). Designing ambigrams is difficult even for human experts because keeping their dual readability from both directions is often difficult. This paper proposes an ambigram generation model.
Takahiro Shirakawa, Seiichi Uchida
openaire   +2 more sources

Evolutionarily divergent DUF4465 domains have a common vitamin B12‐binding function

FEBS Open Bio, EarlyView.
We show that DUF4465 family proteins, widespread across bacteria from gut microbiomes, hydrothermal vents, and soil, share a common vitamin B12‐binding function. These augmented β‐jellyroll proteins bind vitamin B12 via extended loops. Our findings establish sequence‐diverse DUF4465 proteins as a widespread class of B12‐binding proteins, highlighting ...
Charlea Clarke, Michal Banasik, Rokas Juodeikis, Martin J. Warren, Richard W. Pickersgill   +4 more
wiley   +1 more source

Arsenic diffusivity study by comparison of post-Surface and post-implant diffusion in silicon with Local Density Diffusion (LDD-) model approximation

, 2011
The LDD model was first applied to Arsenic concentration profiles determined in surface diffusion experiments by Yoshida and Arai [1]. The new method presented is based on a mathematical convolution with a delta-function-like concentration profile.
Wirbeleit, Frank
core  

Impact of Synthetic Data on Deep Learning Models for Earth Observation: Photovoltaic Panel Detection Case Study

ISPRS International Journal of Geo-Information
This study explores the impact of synthetic data, both physically based and generatively created, on deep learning analytics for earth observation (EO), focusing on the detection of photovoltaic panels. A YOLOv8 object detection model was trained using a
Enes Hisam, Jesus Gimeno, David Miraut, Manolo Pérez-Aixendri, Marcos Fernández, Rossana Gini, Raúl Rodríguez, Gabriele Meoni, Dursun Zafer Seker   +8 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model

Machine Learning: Science and Technology
Diffusion models have demonstrated significant potential in producing high-quality images in medical image translation to aid disease diagnosis, localization, and treatment.
Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang   +3 more
doaj   +1 more source

SCRS: Segment Structure with Controllable Realistic Synthetic for Chip Scratch Detection

Sensors
This paper proposes the Segment Structure with Controllable Realistic Synthetic (SCRS) to address the challenge of detecting scratches on laser diode chip emitting facets, which can impair laser emitting and cause chip burnout.
Jiaqing Huang, Jianjun He, Weihua Gui
doaj   +1 more source