Article
Optics
Ni Chen, Congli Wang, Wolfgang Heidrich
Summary: This paper introduces a joint optimization framework for digital holographic particle tracking velocimetry, which can reconstruct fluid flows and particle volumes faster and more accurately, improving efficiency.
LASER & PHOTONICS REVIEWS
(2021)
Article
Acoustics
Juze Zhang, Zijian Gao, Jingyan Zhang, Peng Ge, Feng Gao, Jingya Wang, Fei Gao
Summary: In this study, we proposed a new method that combines accurate ultrasonic focusing guided by time-reversing photoacoustic (PA) signals and ultrasound modulation with optical phase conjugation (OPC) to achieve dynamic focusing of light in deep tissue. Compared to traditional methods, this approach significantly improves focusing accuracy and is more suitable for applications with severe acoustic distortion.
Article
Computer Science, Artificial Intelligence
Xiao-Yang Liu, Qifan Huang, Xiaochen Han, Bo Wu, Linghe Kong, Anwar Walid, Xiaodong Wang
Summary: This article proposes a novel tensor fast iterative shrinkage-thresholding algorithm net (Tensor FISTA-Net) as a real-time decoder for snapshot compressive imaging (SCI) cameras, utilizing the powerful learning ability of deep neural networks (DNN). It learns a sparse representation of the frames through convolution layers and significantly reduces decoding time and memory consumption through tensor operations. The experimental results show that Tensor FISTA-Net achieves an average PSNR improvement of 0.79-2.84 dB (video images) and 2.61-4.43 dB (hyperspectral images) over the state-of-the-art algorithms, with clearer and more detailed visual results on real SCI datasets. It reaches 45 frames per second in video datasets and 70 frames per second in hyperspectral datasets, meeting the real-time requirement, occupying only a 12-MB memory footprint.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Computer Science, Cybernetics
Yunyi Xie, Jinyin Chen, Jian Zhang, Xincheng Shu, Qi Xuan
Summary: The last decade has seen rapid growth in open-source software (OSS) development, with partner recommendation potentially further boosting its development. Researchers propose a method to improve developer recommendation performance through a time-series snapshot network (TSSN) and temporal biased walk (TBW).
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Review
Infectious Diseases
Jorge LaRotta, Omar Escobar, Maria L. Avila-Aguero, Juan Pablo Torres, Rodrigo Sini de Almeida, Graciela del Carmen Morales, Amit Srivastava
Summary: Since February 2020, the COVID-19 pandemic caused by SARS-CoV-2 has been devastating Latin America, with specific comorbidities and socio-demographic factors increasing the risk of infection and adverse outcomes. The spread of the virus and prevalence of variants have varied across countries, but the Delta and Omicron variants have become widespread. Successful pandemic responses have involved infection mitigation measures, testing, and vaccine deployment, but some countries have struggled to reach vaccination targets. Comprehensive surveillance, vaccine strategies, and mitigation of collateral damage are critical for managing the pandemic in Latin America.
INFECTIOUS DISEASES AND THERAPY
(2023)
Article
Optics
Xianglei Liu, Joao Monteiro, Isabela Albuquerque, Yingming Lai, Cheng Jiang, Shian Zhang, Tiago H. Falk, Jinyang Liang
Summary: The paper introduces a snapshot-to-video autoencoder (S2V-AE) for machine-learning assisted real-time processing in compressed ultrahigh-speed imaging, achieving efficient reconstruction time and a large sequence depth.
PHOTONICS RESEARCH
(2021)
Article
Biochemistry & Molecular Biology
Hugo Scheer
Summary: Chlorophylls play a crucial role in photosynthesis and have various other functions, making them valuable in fields such as basic science, medicine, colorants, and optoelectronics. Ongoing research in chlorophylls and their counterparts continues to bring new insights and applications despite over 200 years of study.
Review
Biochemistry & Molecular Biology
Chengcheng Liao, Qian Wang, Jiaxing An, Qian Long, Hui Wang, Meiling Xiang, Mingli Xiang, Yujie Zhao, Yulin Liu, Jianguo Liu, Xiaoyan Guan
Summary: Partial EMT is a plastic state in cancer cells where both epithelial and mesenchymal characteristics are exhibited, regulated by various pathways and molecules, leading to aggressive tumorigenic properties and high stemness, resulting in therapy resistance and metastasis.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
(2021)
Article
Biochemical Research Methods
David Augustin, Ben Lambert, Ken Wang, Antje-Christine Walz, Martin Robinson, David Gavaghan
Summary: Variability is inherent in biological systems and can be effectively modeled using nonlinear mixed effects (NLME) models. However, standard methods for estimating NLME model parameters become computationally expensive with large datasets, hindering inference for snapshot measurements. In this study, we propose a novel approach called filter inference, which uses simulated individuals to approximate the likelihood and enables efficient parameter estimation for NLME models from snapshot measurements.
PLOS COMPUTATIONAL BIOLOGY
(2023)
Article
Agriculture, Multidisciplinary
Shih-Yu Chen, Ming-Feng Chiu, Xue-Wei Zou
Summary: This study proposes a real-time coffee-bean defect inspection algorithm using a near-infrared hyperspectral sensor and deep learning. The algorithm achieves high accuracy and real-time sorting speeds, which is considerably beneficial for smart agriculture and subsequent applications. Commercializing the algorithm with a robot can create a comprehensive yet affordable coffee-bean real-time inspection system, reducing labor costs and advancing smart agriculture.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Biochemistry & Molecular Biology
Ana Otero, Pablo Vargas, Mario Fernandez-Mazuecos, Pedro Jimenez-Mejias, Virginia Valcarcel, Irene Villa-Machio, Andrew L. Hipp
Summary: This study reveals a history of recurrent progenitor-derivative speciation within the genus Iberodes. The coastal lineage is suggested to have derived from the inland widespread Iberodes linifolia through ecological differentiation during the Late Pliocene, while the more recent differentiation in the coastland is proposed to have occurred due to geographical isolation and niche shifts. This research provides a model for distinguishing speciation via ecological differentiation between peripheral narrow endemics and a widespread ancestor.
Editorial Material
Oncology
Young Seok Ju
Summary: The study utilizes sophisticated statistical analyses on population-scale cancer whole-genome sequences to characterize the genomic architecture of intratumor heterogeneity, providing unprecedented insights into subclones in about 30 cancer types.
Article
Microbiology
Feng Wang, Yuqiu Wei, Guicheng Zhang, Linlin Zhang, Jun Sun
Summary: Marine picophytoplankton play a crucial ecological role and contribute significantly to marine primary productivity. This study examined the distribution patterns, carbon biomass, and Chl a concentrations of picophytoplankton in the tropical Western Pacific Ocean. Prochlorococcus was found to be the most abundant group, followed by Synechococcus and picoeucaryote. The study also revealed the contrasting biogeographic distribution patterns of picophytoplankton communities. Prochlorococcus and Synechococcus were concentrated in the low latitude, while picoeucaryote showed higher abundance in other sections. The study highlights the importance of understanding the impact of environmental conditions on picophytoplankton community and their contribution to the carbon pool in oligotrophic oceans.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Soil Science
Sophie Cornu, Catherine Keller, Beatrice Bechet, Cecile Delolme, Christophe Schwartz, Laure Vidal-Beaudet
Summary: The onset of industrialization globally increased soil artificialization, resulting in soils from artificialized zones (SAZ) due to various land uses. Understanding the characteristics of SAZ is essential for evaluating their ability to provide soil ecosystem services, which requires a more systematic description, sampling, and analysis for better management.
Article
Optics
Deniz Mengu, Anika Tabassum, Mona Jarrahi, Aydogan Ozcan
Summary: Multispectral imaging has applications in various fields and a diffractive optical network-based system is proposed to create a virtual spectral filter array. This system performs coherent imaging over a large spectrum and routes specific spectral channels onto an array of pixels without filters or recovery algorithms. The system's compact design and polarization insensitivity make it transformative for imaging applications where high-density multispectral pixel arrays are not readily available.
LIGHT-SCIENCE & APPLICATIONS
(2023)