Results 101 to 110 of about 32,202 (267)

Self-Binarizing Networks

open access: yes, 2019
Comment: 9 pages, 5 ...
Lahoud, Fayez   +3 more
openaire   +3 more sources

Antiemesis Corticosteroids Potentiate Checkpoint Blockade Efficacy by Normalizing the Immune Microenvironment in Metastatic Murine Breast Cancer

open access: yesAdvanced Science, EarlyView.
Corticosteroids improve the efficacy of immune checkpoint blockade therapy in metastatic murine breast cancer. By normalizing the tumor immune microenvironment, corticosteroids reduce immunosuppressive signals, restore T‐cell function, and promote antitumor immune responses, resulting in enhanced tumor control.
John D. Martin   +19 more
wiley   +1 more source

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

open access: yesAdvanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang   +17 more
wiley   +1 more source

Segmenting the eye fundus images for identification of blood vessels

open access: yesMathematical Modelling and Analysis, 2012
Retinal (eye fundus) images are widely used for diagnostic purposes by ophthalmologists. The normal features of eye fundus images include the optic nerve disc, fovea and blood vessels.
Gediminas Balkys, Gintautas Dzemyda
doaj   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

open access: yesAdvanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen   +7 more
wiley   +1 more source

(HTBNet)Arbitrary Shape Scene Text Detection with Binarization of Hyperbolic Tangent and Cross-Entropy

open access: yesEntropy
The existing segmentation-based scene text detection methods mostly need complicated post-processing, and the post-processing operation is separated from the training process, which greatly reduces the detection performance.
Zhao Chen
doaj   +1 more source

Challenging cisnormativity, gender binarism and sex binarism in management research

open access: yes, 2022
Purpose. This paper aims to challenge the cisnormative and binary assumptions that underpin the management and gender scholarship. Introducing and contextualising the contributions that comprise this special issue, this paper critically reflects on some of the principal developments in management research on trans* and intersex people in the workplace ...
Köllen, Thomas, Rumens, Nick
openaire   +1 more source

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

open access: yesAdvanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan   +17 more
wiley   +1 more source

Solving 0-1 Knapsack and Bin Packing Problem Using Logical Social Group Optimization

open access: yesIEEE Access
The 0-1 Knapsack Problem (KP) and Bin Packing Problem (BPP) are NP-hard combinatorial optimization challenges often tackled using metaheuristics. Both problems have prominent utilization in the real world such as in resource allocation, logistics ...
Rhiddhi Prasad Das   +3 more
doaj   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

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