The nodulation (nod) genes in soil bacteria play important roles in the development of nodules. nod genes are involved in synthesis of Nod factors that are required for bacterial entry into root hairs. Thirteen nod genes have been identified and are classified into five transcription units: nodD, nodABCIJ, nodFEL, nodMNT, and nodO. NodD is negatively auto-regulates its own expression of nodD gene, while other nod genes are inducible and positively regulated by NodD in the presence of flavonoids released by plant roots. This substrate-binding domain has significant homology to the type 2 periplasmic binding proteins (PBP2), which are responsible for the uptake of a variety of substrates such as phosphate, sulfate, polysaccharides, lysine/arginine/ornithine, and histidine. The PBP2 bind their ligand in the cleft between these domains in a manner resembling a Venus flytrap. After binding their specific ligand with high affinity, they can interact with a cognate membrane transport complex comprised of two integral membrane domains and two cytoplasmically located ATPase domains. This interaction triggers the ligand translocation across the cytoplasmic membrane energized by ATP hydrolysis.

Nod Factor structures biosynthesized in the presence of NaCl 300 mM by the wild-type strain CIAT 899 and the nrcR:: Ω mutant.

Photosynthetic Bradyrhizobium strain ORS285 forms nitrogen-fixing nodules on the roots and stems of tropical aquatic legumes of the Aeschynomene genus. Depending on the Aeschynomene species, this symbiotic interaction does or does not rely on the synthesis of Nod-factors (NFs). However, whether during the interaction of Bradyrhizobium ORS285 with NF-independent Aeschynomene species the nod genes are expressed and if the general regulator NodD plays a symbiotic role is unknown. Expression studies showed that in contrast to the interaction with the NF-dependent Aeschynomene species, A. afraspera, the Bradyrhizobium ORS285 nod genes are not induced upon contact with the NF-independent host plant A. indica. Mutational analysis of the two nodD genes present in ORS285, showed that deletion of nodD1 and nodD2 did not affect the symbiotic interaction between Bradyrhizobium ORS285 and A. indica whereas the deletions had an effect on the symbiotic interaction with A. afraspera plants. In addition, when the expression of nod genes was artificially induced by adding naringenin to the plant growth medium, the nodulation of A. indica by Bradyrhizobium ORS285 is delayed and resulted in lower nodule numbers.

NEW GOES-19 Data!! On April 4, 2025 at 1500 UTC, the GOES-19 satellite will be declared the Operational GOES-East satellite. All products and services, including NODD, for GOES-East will transition to GOES-19 data at that time. GOES-19 will operate out of the GOES-East location of 75.2°W starting on April 1, 2025 and through the operational transition. Until the transition time and during the final stretch of Post Launch Product Testing (PLPT), GOES-19 products are considered non-operational regardless of their validation maturity level. Shortly following the transition of GOES-19 to GOES-East, all data distribution from GOES-16 will be turned off. GOES-16 will drift to the storage location at 104.7°W. GOES-19 data should begin flowing again on April 4th once this maneuver is complete.

NEW GOES 16 Reprocess Data!! The reprocessed GOES-16 ABI L1b data mitigates systematic data issues (including data gaps and image artifacts) seen in the Operational products, and improves the stability of both the radiometric and geometric calibration over the course of the entire mission life. These data were produced by recomputing the L1b radiance products from input raw L0 data using improved calibration algorithms and look-up tables, derived from data analysis of the NIST-traceable, on-board sources. In addition, the reprocessed data products contain enhancements to the L1b file format, including limb pixels and pixel timestamps, while maintaining compatibility with the operational products. The datasets currently available span the operational life of GOES-16 ABI, from early 2018 through the end of 2024. The Reprocessed L1b dataset shows improvement over the Operational L1b products but may still contain data gaps or discrepancies. Please provide feedback to Dan Lindsey (dan.lindsey@noaa.gov) and Gary Lin (guoqing.lin-1@nasa.gov). More information can be found in the GOES-R ABI Reprocess User Guide.


NOTICE: As of January 10th 2023, GOES-18 assumed the GOES-West position and all data files are deemed both operational and provisional, so no ‘preliminary, non-operational’ caveat is needed. GOES-17 is now offline, shifted approximately 105 degree West, where it will be in on-orbit storage. GOES-17 data will no longer flow into the GOES-17 bucket. Operational GOES-West products can be found in the GOES-18 bucket.

GOES satellites (GOES-16, GOES-17, GOES-18 & GOES-19) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric "triggers" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements. SUVI products available in both NetCDF and FITS.

Mammalian cells have evolved a set of specialized pattern recognition-molecules (PRMs) to detect conserved molecular motifs present on pathogens known as pathogen-associated-molecular-patterns (PAMPs). NLR proteins (alternatively named NBD-LRR or CATERPILLER) represent one subclass of PRMs that have recently attracted much attention. Their cytoplasmic location differs from the classical PRMs which are mostly membrane spanning receptors (such as the Toll-like-receptors (TLRs) or lectins) and accordingly NLRs were proposed to be activated mainly by intracellular bacterial pathogens.

Genetic variations associated with type 1 diabetes identified by sequencing regions of the non-obese diabetic (NOD) mouse genome and comparing them with the same areas of a diabetes-resistant C57BL/6J reference mouse allowing identification of single nucleotide polymorphisms (SNPs) or other genomic variations putatively associated with diabetes in mice. Finished clones from the targeted insulin-dependent diabetes (Idd) candidate regions are displayed in the NOD clone sequence section of the website, where they can be downloaded either as individual clone sequences or larger contigs that make up the accession golden path (AGP). All sequences are publicly available via the International Nucleotide Sequence Database Collaboration. Two NOD mouse BAC libraries were constructed and the BAC ends sequenced. Clones from the DIL NOD BAC library constructed by RIKEN Genomic Sciences Centre (Japan) in conjunction with the Diabetes and Inflammation Laboratory (DIL) (University of Cambridge) from the NOD/MrkTac mouse strain are designated DIL. Clones from the CHORI-29 NOD BAC library constructed by Pieter de Jong (Children's Hospital, Oakland, California, USA) from the NOD/ShiLtJ mouse strain are designated CHORI-29. All NOD mouse BAC end-sequences have been submitted to the International Nucleotide Sequence Database Consortium (INSDC), deposited in the NCBI trace archive. They have generated a clone map from these two libraries by mapping the BAC end-sequences to the latest assembly of the C57BL/6J mouse reference genome sequence. These BAC end-sequence alignments can then be visualized in the Ensembl mouse genome browser where the alignments of both NOD BAC libraries can be accessed through the Distributed Annotation System (DAS). The Mouse Genomes Project has used the Illumina platform to sequence the entire NOD/ShiLtJ genome and this should help to position unaligned BAC end-sequences to novel non-reference regions of the NOD genome. Further information about the BAC end-sequences, such as their alignment, variation data and Ensembl gene coverage, can be obtained from the NOD mouse ftp site.

Nod Factor structures biosynthesized under control conditions (B- medium) by the wild-type strain CIAT 899 and the nrcR:: Ω mutant.

The NOD (nucleotide-binding oligomerization domain) proteins NOD1 and NOD2 have important roles in innate immunity as sensors of microbial components derived from bacterial peptidoglycan. The importance of these molecules is underscored by the fact that mutations in the gene that encodes NOD2 occur in a subpopulation of patients with Crohn's disease, and NOD1 has also been shown to participate in host defence against infection with Helicobacter pylori. Proteins on this pathway have targeted assays available via the CPTAC Assay Portal.

Flow Chart Node Detection

## Overview

Flow Chart Node Detection is a dataset for object detection tasks - it contains Flow Chart Nodes annotations for 2,688 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This contains the remaining 5 tarballs (5 grids and associated files) for the RSW node centered grids. Each tarball contains a stream-AFLR3 grid, CGNS grid, surface grid, mapbc file, info file, and tags file. To assemble the fine tet. grid files use the following command cat fine_tet_nc.tar.gz_part1 fine_tet_nc.tar.gz_part2 > fine_tet_nc.tar.gz

This dataset provides information about the number of properties, residents, and average property values for Nod Road cross streets in Ridgefield, CT.

Link Tonnages, Locks, Docks, Principle Ports, River Miles, Waterway Network, Waterway Network Nodes.

The Data Provider Node ontology has been developed by CSIRO for describing data provider nodes, web services available and datasets that are hosted by them. This ontology features a module for describing Datasets and Services. It does not however describe geospatial, temporal, organisational or domain concepts as these are intended to be included from other ontologies via the imports statement. Other modules complementary to the DPN ontology are http://purl.org/dpn/dataset and http://purl.org/dpn/services. This version aligns DCAT and DC terms and imports DPN services.

This dataset is published to facilitate replication of the tests described in the article "Distributed Newton Method Over Graphs: Can Sharing of Second-order Information Eliminate the Condition Number Dependence?"

The Theme 5.3 study was undertaken to improve our understanding of the spatial and temporal patterns in seagrass composition, abundance and reproductive phenology in the Pilbara region. Key environmental parameters, especially light, that influence seagrass survival and can be altered by dredging were also characterised. From August 2013 to March 2015 (18 months), surveys of seagrass abundance were undertaken in the Exmouth Gulf region. The locations surveyed (South Muiron Island, Bundegi and Exmouth Gulf) encompassed a range in water clarity from clear to turbid. Less frequent surveys were undertaken at other locations in the Pilbara: Thevenard Island, Rosemary Island and Balla. Measurements of seagrass abundance were also obtained from monitoring conducted as part of the dredging and dredge-spoil management plan for Chevron Australia's Wheatstone Liquefied Natural Gas (LNG) Project. During each survey measurements were made in the field, photographs were taken or samples were collected in order to measure the following variables: 1. percentage cover of seagrass and other benthos; 2. above- and below-ground biomass, shoot density, leaf length, leaf width and number of flowers; 3. density of seagrass seeds; 4. sediment grain size; 5. stable isotope ratios (Ô13C and Ô15N) of seagrass leaf tissue; and 6. water quality (light, conductivity, temperature, salinity, nutrients, suspended particulate matter and chlorophyll).

Night Observation Device (NOD) Market Outlook

The global Night Observation Device (NOD) market size was valued at USD 9.8 billion in 2023 and is expected to reach USD 15.3 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 4.8% during the forecast period. Growth in this market is primarily driven by increasing security concerns, advancements in military and defense technology, and rising demand from various end-user sectors like law enforcement and wildlife observation.

One significant growth factor for the NOD market is the rising geopolitical tensions and the subsequent increase in defense budgets across several countries. Governments worldwide are prioritizing the modernization of their defense systems, which includes equipping their military personnel with advanced night observation devices. The demand for these devices is further amplified by the need for enhanced situational awareness and operational efficiency during nighttime operations. Additionally, technological advancements in night vision and thermal imaging are making these devices more effective and accessible, contributing to market growth.

Another crucial driver is the growing application of night observation devices in law enforcement agencies and border security operations. With increasing instances of cross-border conflicts, smuggling, and illegal immigration, law enforcement agencies are heavily investing in NODs to improve surveillance and operational capabilities during nighttime. The ability to operate effectively in low-light conditions significantly enhances the effectiveness of these operations, thereby driving the demand for night observation devices in this sector.

The NOD market is also witnessing growing interest from the commercial sector, particularly in wildlife observation and surveillance. Wildlife enthusiasts, researchers, and conservationists are increasingly using night vision devices to study and monitor nocturnal animals and their behaviors. Similarly, the rising demand for surveillance systems in residential and commercial properties for security purposes is contributing to market growth. The technological advancements in imaging and miniaturization have made these devices more user-friendly and affordable, further boosting their adoption in the commercial sector.

The Military Night Vision System plays a pivotal role in modern defense strategies, offering unparalleled advantages in low-light and nighttime operations. These systems are crucial for enhancing the situational awareness of military personnel, allowing them to operate effectively in challenging environments. With the integration of advanced technologies such as thermal imaging and infrared illumination, military night vision systems provide clear visibility and target acquisition capabilities, even in complete darkness. This technological edge is vital for mission success and operational safety, especially in high-stakes scenarios where visibility can be the difference between success and failure. The ongoing advancements in these systems are driven by the need for improved performance and reliability, ensuring that military forces are equipped with the best tools for their operations.

Regionally, North America holds a significant share of the NOD market, driven by substantial defense spending and technological advancements. The presence of major market players and continuous investments in R&D activities also contribute to the region's growth. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate, driven by increasing defense budgets in countries like China and India, and the growing demand for security and surveillance systems.

Product Type Analysis

In the product type segment, monocular devices are extensively used due to their compact size and ease of use. These devices are popular among military personnel and law enforcement agencies for their versatility and practicality in various operations. The monocular segment is expected to witness steady growth due to continuous technological advancements that enhance their performance, such as improved image intensification and thermal imaging capabilities. Additionally, the affordability and portability of monocular devices make them a preferred choice for individual users, including wildlife enthusiasts and outdoor adventurers.

Binocular night observation devices are also gaining traction due to their superior depth perception and image

Dr. Chwalowski, We just generated a modified version of the coarse node centered grid with split walls. Here the red and green sections you highlighted in the email have been merged. Please let me know if it is good so we can generate the rest of the grids and upload them. Thanks, Rajiv

NodD regulates the expression of the nodABCFE genes which encode other nodulation proteins. NodD is also a negative regulator of its own expression. Binds flavonoids as inducers

Global IoT Node and Gateway Market is anticipated to grow at a CAGR of 9.0% during the forecast period, with an estimated size and share exceeding USD 995.25 billion by 2032, according to projections.

This dataset provides information about the number of properties, residents, and average property values for Nod Hill Road cross streets in Newton Highlands, MA.