The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations. This data release presents raw and processed results from land-based and water-based frequency domain electromagnetic induction imaging (EMI) data collected from March 31 to April 2, 2015. Data were primarily collected by walking throughout the wetland and riparian zones with the GEM-2 instrument (Geophex, Ltd.) at approximately 1 m off the ground in horizontal coplanar (ski flat) mode.
A survey along a section of the Colorado River in a kayak was also collected (with approximate 0.3 m of elevation above the water surface).

Surface electrical resistivity tomography (ERT), electromagnetic induction (EMI), and self-potential (SP) data were acquired March 9 - 20, 2018 by the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, at the Jim Woodruff Lock and Dam near Chattahoochee, Florida. Frequency-domain electromagnetic induction data were acquired along approximately 9 line-kilometers with the Geophex GEM-2 system to map variations in structure up to about 10 m in depth. This data release includes the raw and processed frequency-dependent in-phase and quadrature data. They are provided as digital data, and data fields are defined in the data dictionary (https://www.sciencebase.gov/catalog/item/5e101094e4b0b207aa163768). Jim Woodruff Lock and Dam is located on the Apalachicola River just south of the confluence of the Flint and Chattahoochee Rivers along the Florida-Georgia border. Construction was completed in 1954 and impounds Lake Seminole. The dam has a long history of excessive seepage along the right abutment and below the fixed-crest spillway. Several karst features have been mapped over the years including sinkholes, both on land and along the lake bottom, and disappearing and reappearing streams. Such features were excavated and grouted during construction. Despite years of investigation of the dam foundation, there remains uncertainty on the flowpaths of water below the fixed-crest spillway and along the adjacent right abutment. REFERENCE Abraham, J.D., Deszcz-Pan, M., Fitterman, D.V., and Burton, B.L., 2006, Use of a handheld broadband EM induction system for deriving resistivity depth images, in 19th Annual Symposium on the Application of Geophysics to Engineering and Environmental Problems, Seattle, Washington, April 2–6, 2006, 18 p.

The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations. This data release presents raw and processed results from hand-caried frequency domain electromagnetic induction imaging (EMI) data collected from June 27-28 along Blacktail Creek near Williston, North Dakota. Data were primarily collected by walking in the creek or along the riparian zones with the GEM-2 instrument (Geophex, Ltd.) at approximately 0.5 m off the ground in horizontal coplanar (ski flat) mode.

Hand-carried frequency domain electromagnetic imaging (EMI) data were collected along the Sanuit River to indicate changes in streambed water quality and/or near surface sediments. These data are to be used in conjunction with fiber-optic distributed temperature sensing (FO-DTS) and ground penetrating radar (GPR) data. The combined dataset represents point in time mapping of preferential groundwater discharge points (FO-DTS), and the bed structure that controls where these points are located (GPR, EMI).

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The electrical conductivity of the earth is used to help infer lithological and pore fluid properties. Various geophysical methods can provide estimates of the distribution of below ground electrical conductivity, with each method having certain limitations. This data release presents raw and processed results from land-based and water-based frequency domain electromagnetic induction (EMI) data collected from August 23, 2017 to August 28, 2017. The raw data consist of .csv files from the Geophex GEM-2 unit. Data were primarily collected by walking with the instrument at approximately 1 m off the ground in horizontal coplanar (ski flat) mode. A survey along a section of the Little Wind River in a kayak (with about 0.3 m of elevation above the water surface) was also collected.

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As one of the major, highly conserved catabolic pathways, autophagy delivers cytosolic components to lysosomes for degradation. It is essential for development, cellular homeostasis, and coping with stress. Reduced autophagy increases susceptibility to protein aggregation diseases and leads to phenotypes associated with aging. Of the three major forms of autophagy, macroautophagy (MA) can degrade organelles or aggregated proteins, and chaperone-mediated autophagy is specific for soluble proteins containing KFERQ-related targeting motifs. During endosomal microautophagy (eMI), cytoplasmic proteins are engulfed into late endosomes in an ESCRT machinery-dependent manner. eMI can be KFERQ-specific or occur in bulk and be induced by prolonged starvation. Its physiological regulation and function, however, are not understood. Here, we show that eMI in the Drosophila fat body, akin to the mammalian liver, is induced upon oxidative or genotoxic stress in an ESCRT and partially Hsc70-4-dependent manner. Interestingly, eMI activation is selective, as ER stress fails to elicit a response. Intriguingly, we find that reducing MA leads to a compensatory enhancement of eMI, suggesting a tight interplay between these degradative processes. Furthermore, we show that mutations in DNA damage response genes are sufficient to trigger eMI and that the response to oxidative stress is under the control of MAPK/JNK signaling. Our data suggest that, controlled by various signaling pathways, eMI allows an organ to react and adapt to specific types of stress and is thus likely critical to prevent disease. Abbreviations:Atg: autophagy-related; CMA: chaperone-mediated autophagy; DDR: DNA damage repair; Df: deficiency (deletion); (E)GFP: (enhanced) green fluorescent protein; eMI: endosomal microautophagy; ER: endoplasmatic reticulum; ESCRT: endosomal sorting complexes required for transport; Eto: etoposide; FLP: flipase; Hsc: heat shock cognate protein; LAMP2A: lysosomal-associated membrane protein 2A; LE: late endosome; MA: macroautophagy; MI: microautophagy; MVB: multivesicular body; PA: photoactivatable; Para: paraquat; ROS: reactive oxygen species; SEM: standard error of means; Tor: target of rapamycin [serine/threonine kinase]; UPR: unfolded protein response; Vps: vacuolar protein sorting.

5G EMI Materials Market size was valued at USD 1.3 Billion in 2024 and is projected to reach USD 7.5 Billion by 2031, growing at a CAGR of 35.2% during the forecast period 2024-2031.

Global 5G Emi Materials Market Drivers

The market drivers for the 5G Emi Materials Market can be influenced by various factors. These may include:

The spread Of 5G technology: The demand for EMI materials is being driven by the rapid deployment and adoption of 5G networks across the globe. Effective EMI shielding becomes more important as 5G base stations, antennas, and devices are installed in order to preserve signal integrity and performance.

Growing Adoption Of Electronic Devices: In order to prevent interference and guarantee device operation, sophisticated EMI shielding solutions are required due to the increase in the number of electronic devices and the complexity of circuits in smartphones, IoT devices, and other consumer electronics.

Strict Regulations: Strict guidelines for EMI emissions have been established by governments and regulatory agencies. In order to comply with these requirements, manufacturers must use premium EMI shielding materials in their goods, which will increase demand.

Developments In EMI Materials Technology: The market is expanding due to ongoing advancements in EMI shielding materials, such as the creation of materials that are lightweight, flexible, and extremely effective. These developments make it possible to integrate modern electronic designs more effectively.

Growth of The Automotive Industry: The demand for EMI materials is rising as the automotive industry moves towards electric vehicles (EVs) and autonomous driving technology. These cars include many electronic components, and for those systems to be safe and functioning, there needs to be strong EMI shielding.

IoT And Smart Device Expansion: One major driver is the proliferation of smart devices and the Internet of Things (IoT) across a number of industries, including as manufacturing, home automation, and healthcare. Effective EMI shielding is necessary for these devices to function dependably in a variety of settings.

Enhanced Investment In R&D: Businesses are making significant investments in R&D to produce EMI materials that are more economical and efficient. Maintaining competitiveness and satisfying the changing needs of the 5G market require this investment. The process of shrinking electronic components. In Order To Assist The Development: of smaller, high-performance devices, the trend towards smaller and more compact electronic components calls for enhanced EMI materials that can offer efficient shielding without adding bulk.

Increase In Communication Infrastructure And Data Centres: Effective EMI management is necessary for the growth of data centres and communication infrastructure to enable 5G networks. The use of EMI materials is crucial in limiting interference that can impede the transmission and processing of data.

A Greater Knowledge Of EMF Contamination: The need for EMI materials that can lower radiation emissions and interference is rising as people become more conscious of the possible negative effects electromagnetic pollution may have on their health and the environment.

Japan EPI: JB: EEP: EME: Electrical Meters & Measuring Instruments (EMI) data was reported at 105.200 2010=100 in Dec 2016. This records an increase from the previous number of 101.100 2010=100 for Nov 2016. Japan EPI: JB: EEP: EME: Electrical Meters & Measuring Instruments (EMI) data is updated monthly, averaging 102.150 2010=100 from Jan 2010 (Median) to Dec 2016, with 84 observations. The data reached an all-time high of 117.500 2010=100 in May 2015 and a record low of 95.600 2010=100 in Mar 2011. Japan EPI: JB: EEP: EME: Electrical Meters & Measuring Instruments (EMI) data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.I170: Export Price index: 2010=100: JPY Basis: Electric & electronic products.

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