This feature issue highlights contributions from authors who presented their research at the OSA Light, Energy and the Environment Congress, held in Leipzig, Germany from November 14 to 17, 2016.
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| http://dx.doi.org/10.1364/OE.25.00A444 | DOI Listing |
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Frustrated Lewis Pair Meets Polyhedral Oligomeric Silsesquioxane: Water-Tolerant Hybrid Porous Networks for Robust, Efficient, and Recyclable CO Catalysis.
ACS Appl Mater Interfaces
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State Key Laboratory of Molecular Engineering of Polymers, Fudan University, Shanghai 200433, China.
Frustrated Lewis pair chemistry (FLP) occupy a crucial position in nonmetal-mediated catalysis, especially toward activation of inert gas molecules. Yet, one formidable issue of homogeneous FLP catalysts is their instability on preservation and recycling. Here we contribute a general solution that marries the polyhedral oligomeric silsesquioxane (POSS) with a structurally specific frustrated Lewis acid to fabricate porous polymer networks, which can form water-insensitive heterogeneous FLP catalysts upon employing Lewis base substrates.
View Article and Find Full Text PDF2024 White Paper on Recent Issues in Bioanalysis: Three Way-Cross Validation; Urine Clinical Analysis; Automated Methods; Regulatory Queries on Plasma Protein Binding; Automated Biospecimen Management; ELN Migration; Ultra-Sensitivity Mass Spectrometry ( - Recommendations on Advanced Strategies for Mass Spectrometry Assays, Chromatography, Sample Preparation and BMV/Regulated Bioanalysis - Regulatory Agencies' Inputs on Regulated Bioanalysis/BMV).
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US FDA, Silver Spring, MD, USA.
The 18 Workshop on Recent Issues in Bioanalysis (18 WRIB) took place in San Antonio, TX, USA on May 6-10, 2024. Over 1100 professionals representing pharma/biotech companies, CROs, and multiple regulatory agencies convened to actively discuss the most current topics of interest in bioanalysis. The 18 WRIB included 3 Main Workshops and 7 Specialized Workshops that together spanned 1 week to allow an exhaustive and thorough coverage of all major issues in bioanalysis of biomarkers, immunogenicity, gene therapy, cell therapy and vaccines.
View Article and Find Full Text PDFSafety outcome trials in four mainline medical journals 30 years apart: a narrative review and the need for the transparency of informed consents.
Trials
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Internal Medicine (Rheumatology), Academic Hospital, Istanbul, Turkey.
Background: It was our impression that safety outcome trials were getting more frequent, raising ethical issues mainly related to patient autonomy. We and others had also proposed this autonomy would be best served if wording of the informed consents would be in the public domain.
Methods: Initially two observers and an arbiter tabulated the main aims of randomized controlled trials (RCTs) published in 1990-1991 vs.
An automatic cervical cell classification model based on improved DenseNet121.
Sci Rep
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Department of Biomedical Engineering, School of Life Science and Technology, Changchun University of Science and Technology, Changchun, 130022, China.
The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of low accuracy in cervical cell classification, a deep convolutional neural network A2SDNet121 is proposed. A2SDNet121 takes DenseNet121 as the backbone network.
View Article and Find Full Text PDFA vision model for automated frozen tuna processing.
Sci Rep
January 2025
School of Food and Pharmacy, Zhejiang Ocean University, Zhoushan, 316022, People's Republic of China.
Accurate and rapid segmentation of key parts of frozen tuna, along with precise pose estimation, is crucial for automated processing. However, challenges such as size differences and indistinct features of tuna parts, as well as the complexity of determining fish poses in multi-fish scenarios, hinder this process. To address these issues, this paper introduces TunaVision, a vision model based on YOLOv8 designed for automated tuna processing.
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