Results 121 to 130 of about 22,800 (222)

CISO: Species distribution modelling Conditioned on Incomplete Species Observations

Methods in Ecology and Evolution, EarlyView.
Abstract Species distribution models (SDMs) are widely used to predict species' geographic distributions, serving as critical tools for ecological research and conservation planning. Typically, SDMs relate species occurrences to environmental variables representing abiotic factors, such as temperature, precipitation, and soil properties.
Hager Radi Abdelwahed, Mélisande Teng, Robin Zbinden, Laura Pollock, Hugo Larochelle, Devis Tuia, David Rolnick   +6 more
wiley   +1 more source

The persistent advantage of model‐based phylogenetic methods for single‐trait prediction

Methods in Ecology and Evolution, EarlyView.
Abstract Reliable predictions of biological traits support a wide range of applications, from bioprospecting to informing conservation priorities. Given the complexity and diversity of trait evolution, robust methods for trait prediction are essential for drawing meaningful evolutionary inferences from phylogenetic data.
Adam Richard‐Bollans, Daniele Silvestro   +1 more
wiley   +1 more source

Tau‐targeting active immunotherapy slows progression and reduces pathology in mouse models of tauopathy

Brain Pathology, EarlyView.
The efficacy of the novel anti‐tau active immunotherapy, p5555kb, was tested using two mouse models of tau pathology. p5555kb inoculation increased the survival rate and reduced tau pathology in tau‐overexpressing P301L mice and decreased tau seeding in the brains of C57BL/6 mice injected with human‐purified Alzheimer's disease tau.
Christopher M. Brown, Jeanne K. Brooks, Louise Kelly, Madeline M. Vroom, Matthew Longo, Jean‐Cosme Dodart, Roxana Carare, Justin D. Boyd   +7 more
wiley   +1 more source

Label Noise in Pathological Segmentation Is Overlooked, Leading to Potential Overestimation of Artificial Intelligence

Cancer Science, EarlyView.
This study evaluated how artificial label noise affects cancer pathology segmentation models, demonstrating that boundary‐dependent noise leads to overestimation of performance metrics, while random noise mixtures further harm generalization. Our results highlight the need for standardized noise‐quantification and mitigation methods and for developing ...
Kenji Harada, Yuichiro Nomura, Daisuke Komura, Shumpei Ishikawa, Shingo Sakashita   +4 more
wiley   +1 more source

Graph Neural Network‐Based Multi‐Scale Whole Slide Image Fusion for pT Staging of Muscle‐Invasive Bladder Cancer

Cancer Science, EarlyView.
Accurate pT staging in muscle‐invasive bladder cancer is essential for treatment and prognosis, but current methods rely on time‐consuming and variable microscopic evaluation. We developed a graph neural network–based model that integrates multi‐scale whole‐slide images to automate pT staging, achieving excellent performance with an AUC of 0.911 and ...
Qian Li, Qing Feng Chen, Nan Qing Liao
wiley   +1 more source

Spike–fast activity interplay: A gateway to seizure

Epilepsia, EarlyView.
Abstract Objective The transition from interictal discharges to ictal high‐frequency activity (HFA) remains poorly understood. We investigated whether spike‐associated high‐frequency oscillations (Sp‐HFOs) during interictal and preictal periods contribute to the emergence of ictal HFA.
Thandar Aung, Aude Jegou, Patrick Chauvel   +2 more
wiley   +1 more source

Label‐free imaging of intracellular structures in living mammalian cells via external apodization phase‐contrast microscopy

The FEBS Journal, EarlyView.
External apodization phase‐contrast (ExAPC) microscopy enables label‐free visualization of diverse intracellular structures in living mammalian cells. By enhancing phase‐contrast imaging through optical apodization, ExAPC reveals fine subcellular details, such as lipid droplets and organelle contacts, without fluorescent labels.
Hiroshi Ohno, Takenori Nishimura, Kenta Kainoh, Yoshitaka Ohashi, Naoko Onodera, Mayuko Kano, Lay Nurhana Sari, Masato Masuda, Yoshiaki Tamura, Teppei Nishino, Yusuke Hayashi, Yusuke Yamamoto, Shin‐Ichiro Takahashi, Yuta Mishima, Yosuke Yoneyama, Yoshinori Takeuchi, Motohiro Sekiya, Takashi Matsuzaka, Takafumi Miyamoto, Hitoshi Shimano   +19 more
wiley   +1 more source

The raphe nuclear organization and serotonergic system in the bat (Artibeus planirostris)

Journal of Anatomy, EarlyView.
Schematic representation of the methodological workflow used to characterize the serotonergic (5‐HT) system in the bat Artibeus planirostris. Serotonin (5‐HT) immunohistochemistry was performed on brainstem sections to identify and map the distribution of serotonergic neurons within the raphe nuclei.
Mariana D. Leite, Andréa S. M. Bandeira, Wigínio G. L. Bandeira, Milena S. Lustosa, Ana C. F. Gama, Marília A. S. Barros, Paulo L. A. G. Morais, Jeferson S. Cavalcante, Melquisedec A. D. Santana, Expedito S. Nascimento Jr   +9 more
wiley   +1 more source

BinVPR: Binary Neural Networks towards Real-Valued for Visual Place Recognition

Sensors
Visual Place Recognition (VPR) aims to determine whether a robot or visual navigation system locates in a previously visited place using visual information. It is an essential technology and challenging problem in computer vision and robotic communities.
Junshuai Wang, Junyu Han, Ruifang Dong, Jiangming Kan   +3 more
doaj   +1 more source

Efficient Certified Reasoning for Binarized Neural Networks

18 pages, 4 figures, to be published in ...
Yang, Jiong, Tan, Yong Kiam, Soos, Mate, Myreen, Magnus O., Meel, Kuldeep S.   +4 more
openaire   +3 more sources