Article
Energy & Fuels
Jeroen Hustings, Nico Fransaert, Kristof Vrancken, Rob Cornelissen, Roland Valcke, Jean V. Manca
Summary: Photovoltaic photographs are a new application that integrates images into semi-transparent solar cells using a light-induced process to pattern the photoactive layer, with potential applications in building integrated photovoltaics.
SOLAR ENERGY MATERIALS AND SOLAR CELLS
(2022)
Article
Computer Science, Hardware & Architecture
[Anonymous]
Summary: The authors are requested to submit new and unpublished manuscripts for inclusion in the upcoming event as described in this call for papers.
Article
Computer Science, Hardware & Architecture
[Anonymous]
Summary: The sentence requests prospective authors to submit new, unpublished manuscripts for inclusion in an upcoming event.
Article
Computer Science, Hardware & Architecture
[Anonymous]
Summary: Authors are asked to submit new, unpublished manuscripts for inclusion in the upcoming event mentioned in this call for papers.
Article
Computer Science, Hardware & Architecture
[Anonymous]
Summary: Authors are asked to submit unpublished manuscripts for the upcoming event described in this call for papers.
Article
Cardiac & Cardiovascular Systems
Islam Y. Elgendy, Syed Bukhari, Amr F. Barakat, Carl J. Pepine, Kathryn J. Lindley, Eliza C. Miller
Summary: Maternal mortality rates in the US have been rising steadily, with cardiovascular mortality being the leading cause of death among pregnant and postpartum women. Maternal stroke contributes significantly to cardiovascular mortality, with rates of stroke among pregnant women increasing in recent years. Factors such as advancing maternal age, the increasing prevalence of traditional cardiovascular risk factors, and other risk factors like hypertensive disorders of pregnancy, migraine, and infections, may be contributing to the rising rates of maternal stroke.
Article
Virology
Xingguang Li
Summary: The Omicron SARS-CoV-2 variant may have originated from a chronically infected patient vaccinated with mRNA or non-mRNA vaccines, highlighting the need for more effective one-dose vaccines to protect against new variants in the global fight against the pandemic.
JOURNAL OF MEDICAL VIROLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Zhihua Wang, Keshuo Xu, Yang Yang, Jianlei Dong, Shuhang Gu, Lihao Xu, Yuming Fang, Kede Ma
Summary: This article emphasizes the importance of measuring perceptual color differences (CDs) in modern smartphone photography. By constructing the largest image dataset and using a lightweight neural network, an end-to-end learnable CD formula is created, which outperforms 33 existing CD measures and has practical significance for large-scale perceptual CD assessment.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Biology
Jinhao Li, Shuai Wang, Shaodan Hu, Yiming Sun, Yaqi Wang, Peifang Xu, Juan Ye
Summary: This paper proposes a novel method, CAA-Net, for automatically diagnosing infectious keratitis using corneal photographs. The method combines class-awareness and attention strategies, and has been verified to be effective in diagnosing different types of infectious keratitis.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Agronomy
Lucia Hederova, Martin Macek, Jan Wild, Josef Bruna, Vit Kaspar, Tereza Klinerova, Martin Kopecky
Summary: Canopy openness determines forest biodiversity, radiation regime and understorey microclimate. Traditional methods of calculating canopy openness from 180-degree photographs are being replaced by narrower angles of view provided by photographic equipment. However, it is still uncertain how well canopy openness estimated from restricted angles of view predicts different forest characteristics.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Multidisciplinary Sciences
James Green, Tori Hoehler, Marc Neveu, Shawn Domagal-Goldman, Daniella Scalice, Mary Voytek
Summary: The text discusses the possibility of discovering life beyond Earth in our generation, emphasizing the importance of conveying information on this diverse and complex topic. It suggests establishing best communication practices to set reasonable expectations and emphasizes that false starts and dead ends are a normal part of the scientific process. A framework is proposed to start a dialogue on the criteria for assessing claims and supporting evidence for life beyond Earth.
Article
Geosciences, Multidisciplinary
Eric Timmer, Calla Knudson, Murray Gingras
Summary: The advances in deep learning software have enabled automated extraction of geological features from core images, specifically demonstrated in this paper for bioturbation data extraction. This approach can significantly increase the value of core photograph data sets by predicting sedimentary structures with high accuracy.
Editorial Material
Urology & Nephrology
Lilia Cervantes
Summary: Clinicians, as witnesses of the health consequences of social discrimination, are in a unique position to build coalitions and engage stakeholders to address inequities and drive change, ensuring that all populations have the opportunity to thrive.
NATURE REVIEWS NEPHROLOGY
(2021)
Article
Computer Science, Information Systems
Duc My Vo, Duc Manh Nguyen, Thao Phuong Le, Sang-Woong Lee
Summary: A hierarchical generative adversarial network (HI-GAN) is proposed to address the trade-off issue in image denoising, with three generators focusing on different aspects to improve denoising performance. The HI-GAN introduces a novel boosted residual dense UNet and AdaRaGAN loss function to enhance the stability and effectiveness of the generators, yielding superior results compared to state-of-the-art denoisers.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Hufei Yu, Yifeng Liu, Shiwen He, Pei Jiang, Jiang Xin, Jingxi Wen
Summary: This article focuses on studying an efficient deep learning architecture for restoring damaged character photographs, proposing a new generative adversarial network (GAN) architecture to achieve this task. By utilizing residual U-Net (ResU-Net) GAN and ResU-Net conditional GAN, along with a weighted multi-features loss function, the approach is able to restore spots, creases, cracks, and other spoiled manners in damaged character photographs.
