Results 61 to 70 of about 2,289 (259)

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Boolean Logic‐Based Control Over Recombinant Protein Biomaterial Degradability and Therapeutic Delivery

Advanced Materials, EarlyView.
Fully recombinant protein‐based biomaterials execute complex Boolean logic for user‐programmable material degradation and concomitant therapeutic cargo release. Biologics, such as growth factors, can be incorporated within the crosslinkers as “drugamers”, while encapsulated cells can be released according to nested YES/OR/AND‐type logical operations ...
Murial L. Ross, Ryan Gharios, Shivani Kottantharayil, Cole A. DeForest   +3 more
wiley   +1 more source

Incorporating object counts into remote sensing image captioning

International Journal of Digital Earth
Existing methods for remote sensing image captioning tend to describe a remote sensing image using generic language that lacks specific information about object counts.
Zihao Ni, Zhaoyun Zong, Peng Ren
doaj   +1 more source

ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment

Proceedings of the AAAI Conference on Artificial Intelligence
Most pre-trained learning systems are known to suffer from bias, which typically emerges from the data, the model, or both. Measuring and quantifying bias and its sources is a challenging task and has been extensively studied in image captioning. Despite the significant effort in this direction, we observed that existing metrics lack consistency in the
Eslam Abdelrahman, Pengzhan Sun 0001, Li Erran Li, Mohamed Elhoseiny   +3 more
openaire   +2 more sources

Ionizable Lipid‐Dependent Optimization of Steroid Lipid Nanoparticles With Tunable Immunomodulatory Properties

Advanced Materials, EarlyView.
A novel engineering strategy that establishes material design principles for incorporating anti‐inflammatory steroids into lipid nanoparticles to reduce LNP‐induced inflammation while retaining mRNA delivery. Results are validated in vitro and in three animal models of inflammation and autoimmunity in vivo.
Ajay S. Thatte, Benjamin E. Nachod, Julia Baena, Jenna Muscat‐Rivera, Lesley Chaboub, Hannah C. Safford, Hannah C. Geisler, Hannah M. Yamagata, Melgious J. Y. Ang, Michael Kegel, Alexandre Poirier, Elaine R. Tong, Zhe Zhong, Qiangqiang Shi, Jinjin Wang, Elisa Battistini, Ye Zeng, Alex G. Hamilton, Kelsey L. Swingle, Drew Weissman, Jilian R. Melamed, Michael J. Mitchell   +21 more
wiley   +1 more source

A Survey on Biomedical Image Captioning [PDF]

Proceedings of the Second Workshop on Shortcomings in Vision and Language, 2019
SiVL ...
Vasiliki Kougia, John Pavlopoulos, Ion Androutsopoulos   +2 more
openaire   +2 more sources

De Novo Autogenic Engineered Living Functional Materials

Advanced Materials, EarlyView.
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad, Seth Swarnadeep, Erin C. Jackson, Nicolas Burns, Hongyu Wang, Harrison Priode, Robert B. Moore, Sanket Deshmukh, Avinash Manjula‐Basavanna, Anna M. Duraj‐Thatte   +9 more
wiley   +1 more source

Semantic‐meshed and content‐guided transformer for image captioning

IET Computer Vision, 2022
The transformer architecture has been the dominant framework for today's image captioning tasks because of its superior performance. However, existing methods based on transformer often lack the integrated use of multi‐level semantic information and are ...
Xuan Li, Wenkai Zhang, Xian Sun, Xin Gao
doaj   +1 more source

Ultrathin Hydrogel Membranes Inspired by Soap Films Enable Physiologically Relevant Breathing Lung Models

Advanced Materials, EarlyView.
A soap‐film inspired strategy enables the fabrication of ultrathin yet robust GelMA‐PAAm membranes for breathing lung culture. The hydrogel membrane supports long‐term cyclic deformation under air‐liquid interface conditions, enabling physiologically relevant breathing motions of engineered lung tissue culture. ABSTRACT Breathing continuously stretches
Yunji Lee, Gwang Myeong Kim, Wookyeom Kim, Fenny Soetanto, Gyungin Ryu, Taehun Chung, Youn Soo Kim, Junmin Lee, Hwa‐Rim Lee, Sungjune Jung   +9 more
wiley   +1 more source

Entangled Transformer for Image Captioning [PDF]

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
In image captioning, the typical attention mechanisms are arduous to identify the equivalent visual signals especially when predicting highly abstract words. This phenomenon is known as the semantic gap between vision and language. This problem can be overcome by providing semantic attributes that are homologous to language.
Guang Li, Linchao Zhu, Ping Liu 0004, Yi Yang 0001   +3 more
openaire   +1 more source