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Deep brain stimulation and electromagnetic interference - PubMed
Deep brain stimulation and electromagnetic interference - PubMed
Deep brain stimulation (DBS) has evolved into an approved and efficacious treatment for movement, obsessive-compulsive, and epilepsy disorders that are refractory to medical therapy, with current investigation into other disease conditions. However, there are unintentional and intentional sources of …
·pubmed.ncbi.nlm.nih.gov·
Deep brain stimulation and electromagnetic interference - PubMed
Frontiers | Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives | Plant Science
Frontiers | Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives | Plant Science
Phenotyping plays an important role in crop science research; the accurate and rapid acquisition of phenotypic information of plants or cells in different environments is helpful for exploring the inheritance and expression patterns of the genome to determine the association of genomic and phenotypic information to increase the crop yield. Traditional methods for acquiring crop traits, such as plant height, leaf color, leaf area index (LAI), chlorophyll content, biomass and yield, rely on manual sampling, which is time-consuming and laborious. Unmanned aerial vehicle remote sensing platforms (UAV-RSPs) equipped with different sensors have recently become an important approach for fast and non-destructive high throughput phenotyping and have the advantage of flexible and convenient operation, on-demand access to data and high spatial resolution. UAV-RSPs are a powerful tool for studying phenomics and genomics. As the methods and applications for field phenotyping using UAVs to users who willing to derive phenotypic parameters from large fields and tests with the minimum effort on field work and getting highly reliable results are necessary, the current status and perspectives on the topic of UAV-RSPs for field-based phenotyping were reviewed based on the literature survey of crop phenotyping using UAV-RSPs in the Web of Science™ Core Collection database and cases study by NERCITA. The reference for the selection of UAV platforms and remote sensing sensors, the commonly adop...
·frontiersin.org·
Frontiers | Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives | Plant Science
Targeting Targeted Individuals - Fort Worth Weekly
Targeting Targeted Individuals - Fort Worth Weekly
“All we can do, Scully, is pull the thread, see what unravels.” — Fox Mulder, The X-Files   Far on the outer fringes of Fort Worth are people who believe they’re being zapped by military satellites with deadly microwave beams. Cellphone towers and “super computers” are used to stream hateful messages into their subconscious minds,…
·fwweekly.com·
Targeting Targeted Individuals - Fort Worth Weekly
How can I block voice to skull and remote neural monitoring technology? I was told by the Gainesville police department to find something online to block it. - Quora
How can I block voice to skull and remote neural monitoring technology? I was told by the Gainesville police department to find something online to block it. - Quora
Answer (1 of 8): https://patents.justia.com/patent/20200275874 You can try the above method. Unfortunately, not much have been done to expose and save victims of “brain data theft" and “unlawful surveillance". There is another patent that can help you recover your own sub-vocalization that was ta...
·quora.com·
How can I block voice to skull and remote neural monitoring technology? I was told by the Gainesville police department to find something online to block it. - Quora
Remote Sensing | Free Full-Text | Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape
Remote Sensing | Free Full-Text | Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape
Remote estimation of flower number in oilseed rape under different nitrogen (N) treatments is imperative in precision agriculture and field remote sensing, which can help to predict the yield of oilseed rape. In this study, an unmanned aerial vehicle (UAV) equipped with Red Green Blue (RGB) and multispectral cameras was used to acquire a series of field images at the flowering stage, and the flower number was manually counted as a reference. Images of the rape field were first classified using K-means method based on Commission Internationale de l’Éclairage (CIE) L*a*b* space, and the result showed that classified flower coverage area (FCA) possessed a high correlation with the flower number (r2 = 0.89). The relationships between ten commonly used vegetation indices (VIs) extracted from UAV-based RGB and multispectral images and the flower number were investigated, and the VIs of Normalized Green Red Difference Index (NGRDI), Red Green Ratio Index (RGRI) and Modified Green Red Vegetation Index (MGRVI) exhibited the highest correlation to the flower number with the absolute correlation coefficient (r) of 0.91. Random forest (RF) model was developed to predict the flower number, and a good performance was achieved with all UAV variables (r2 = 0.93 and RMSEP = 16.18), while the optimal subset regression (OSR) model was further proposed to simplify the RF model, and a better result with r2 = 0.95 and RMSEP = 14.13 was obtained with the variable combination of RGRI, normalized difference spectral index (NDSI (944, 758)) and FCA. Our findings suggest that combining VIs and image classification from UAV-based RGB and multispectral images possesses the potential of estimating flower number in oilseed rape.
·mdpi.com·
Remote Sensing | Free Full-Text | Combining UAV-Based Vegetation Indices and Image Classification to Estimate Flower Number in Oilseed Rape