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MicroRNA Detection and Target Identification Methods and Protocols
This updated volume reflects new and evolved techniques to study detection, profiling, and manipulation of microRNAs (miRNAs) in plants and animals....
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Improving multi-scale detection layers in the deep learning network for wheat spike detection based on interpretive analysis
BackgroundDetecting and counting wheat spikes is essential for predicting and measuring wheat yield. However, current wheat spike detection...
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Position Detection
Around the year 2000, it became possible to track players’ positions in game sports during match. This was a revolution in performance analysis (PA)...
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Occupancy models with autocorrelated detection heterogeneity
Occupancy models are commonly used in statistical ecology to model binary detection/non-detection data. These hierarchical models make a distinction...
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Protocols for Cyanobacteria Sampling and Detection of Cyanotoxin
This protocol book provides detailed procedures for the isolation of cyanobacteria, extraction, quantification, and detection of cyanotoxins. It...
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First detection of a potentially invasive species using a multi-threat early detection trap network
In this study we implemented an early detection and rapid response trap** network in the entry and distribution areas of plant material for 20...
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Action Detection
Historically, recording events in sports competitions is most likely the earliest activity in PA. In this chapter, action detection in PA is put in...
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Novel plant disease detection techniques-a brief review
Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early disease detection is important to reduce the...
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Apoptosis Detection Assays
Many apoptosis assays are available since there are many proteins regulated at multiple points and involved in apoptosis signaling cascade. To detect...
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Detection of Specific RNA Targets by Multimerization
AbstractDetection of specific RNA targets via amplification-mediated techniques is widely used in fundamental studies and medicine due to essential...
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Spatial landmark detection and tissue registration with deep learning
Spatial landmarks are crucial in describing histological features between samples or sites, tracking regions of interest in microscopy, and...
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RNA Analysis Using Immunoassay Detection Format
Oligonucleotide probe tagging and reverse transcriptase polymerase-chain reaction (RT-PCR) are the most widely used techniques currently used for...
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Soft-shell crab detection model based on YOLOF
The detection technology of soft-shell crab breaks the traditional soft-shell crab breeding method. Conventional farming practices rely heavily on...
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MicroRNA Detection with CRISPR/Cas
Low-cost detection of miRNAs has caught broad attention in recent years due to the potential application of these small noncoding RNAs for...
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The MBS microbial rapid detection system for rapid detection of major pathogenic bacteria in feed: comparison with plate counting method
The current methods for detecting pathogenic bacteria in feed require high technique and take a long time. The Micro Biological Survey (MBS) rapid...
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Underwater fish detection and counting using image segmentation
There is a great demand for precision fish farming in aquaculture, and accurate fish counting is essential for precise control and monitoring of fish...
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Field cabbage detection and positioning system based on improved YOLOv8n
BackgroundPesticide efficacy directly affects crop yield and quality, making targeted spraying a more environmentally friendly and effective method...
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Detection of miRNAs
MicroRNAs (miRNAs) are small, noncoding RNAs that regulate gene expression. They play an important role in many biological processes including human...
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Electrochemical biosensors for pathogenic microorganisms detection based on recognition elements
The worldwide spread of pathogenic microorganisms poses a significant risk to human health. Electrochemical biosensors have emerged as dependable...
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Rapid, tunable, and multiplexed detection of RNA using convective array PCR
Detection of RNA targets is typically achieved through RT-qPCR or RNAseq. RT-qPCR is rapid but limited in number and complexity of targets detected,...
