Is there any way Power BI/Powershell can export .mp4 file-related data from OneDrive for business and SharePoint Online so as to look at the metadata of the Teams Meeting Recording .mp4 files which can be differentiated from non Teams Meeting recording files Thanks in advance!
For non-Channel meetings, the recording is stored in a folder named Recordings that's at the top level of the OneDrive for Business that belongs to the person who started the meeting recording.
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thanks for your response. There are users who put non Teams meeting recordings in One drive for business and Sharepoint Online under the Recording folder. So how can we differentiate these non Teams meeting recording files from Teams meeting recording ones
1.Teams meeting recordings' [Sharing] column is automatically displayed as Shared (share with people who joined in this meeting), and (non Teams meeting recordings) .mp4 files are Private by default unless you specify whom to share to.
The Blended Retirement System combines elements of the legacy retirement system with benefits similar to those offered in many civilian 401(k) plans. The opt-in period for the majority of service members closed Dec. 31, 2018. However, it's still important that you learn how to maximize your retirement choice through the information found below. If you have further questions about the Blended Retirement System or financial planning, please contact your local pay or finance office.
The Blended Retirement System opt-in enrollment period closed at midnight on Dec. 31, 2018, capping off the successful roll-out of a new retirement system for members of the uniformed services. More than 400,000 DOD service members chose to opt into BRS during the enrollment period, and more than 150,000 new members were automatically enrolled upon entering the service. In total, over half a million uniformed service members are now covered by BRS and able to begin receiving portable, government-provided retirement benefits.
The Department of Defense (DoD) continues to educate Uniformed Services spouses on the new Blended Retirement System (BRS). For those eligible to opt into BRS, the decision may not be easy to make, and Service members are encouraged to discuss factors for consideration with their spouse or partner before making this irrevocable decision. For Service members who decide to opt into BRS or enter the Uniformed Services after January 1, 2018 and are automatically enrolled into BRS, understanding the components of the BRS is important to maximizing the benefits to help meet personal financial goals.
The Department of Defense is transitioning from its current paper-based Uniformed Services Identification (USID) card to a more secure, next generation USID card. The Next Generation USID card will incorporate an updated design and security features to deter counterfeiting and fraud, and will be printed on a plastic cardstock. Initial issuance of the Next Generation USID card will begin on July 31, 2020 at select DoD ID card facilities, with phased implementation at all DoD ID card facilities projected to be complete in December 2020. USID cards are issued to retired and reserve members, dependent family members of Uniformed Services members, and other eligible individuals in accordance with DoD policy to facilitate access to benefits, privileges, and DoD bases. The Next Generation USID card does not change the populations who are eligible to receive the current card.
Currently-issued USID cards remain valid through their expiration date. In an effort to limit the impact on ID card issuance facilities, cards will not be reissued solely for the purpose of obtaining the Next Generation USID card. Since the Next Generation USID card will not be available at all DoD ID card facilities until December 2020, and sites are currently operating under constrained conditions as a result of COVID-19 to keep both cardholders and operators safe, individuals with an indefinite (INDEF) expiration date on their current USID card should wait until summer 2021 to have their Next Generation USID card issued.
-Dependents of: active-duty Service members of the regular components; Reserve component Service members on active duty for more than 30 days; retirees; Medal of Honor recipients; former members in receipt of retired pay; Transitional Health Care Members (TAMP); 100% Disabled American Veterans (DAV); and Ship's Officers and Crewmembers of NOAA Vessels
In late May 2019, the SWAN developers released a new version. Whenever this happens, the new version needs to be implemented into the coupled SWAN+ADCIRC, thus replacing an older version in the coupled model.
This upgrade is mostly a benefit to users of SWAN+ADCIRC. It has been almost 4 years since the last upgrade, and we had skipped a new SWAN version (41.20) during that time. Thus, this upgrade is adding features and bug fixes from two newer versions (41.20 and 41.31). SWAN has added several capabilities that will be advantageous to users of SWAN+ADCIRC.
It is important to note that there are no differences in the un-coupled SWAN, i.e. without any information (water levels, water velocities, modified friction) passed from ADCIRC. The differences occur in how the ambient currents are handled, which only occur with the coupling.
To prove this, we can consider an un-coupled test case. This un-coupling can be set by removing the corresponding READINP commands from the SWAN control file (fort.26). Only the wind velocities should be passed from ADCIRC; otherwise, it is like SWAN is running by itself.
In Figure 1, we show predictions of significant wave heights on a small model of the Albemarle and Pamlico Sounds during Hurricane Irene (2011). This model has been shared previously as an example of the coupled SWAN+ADCIRC, but now we are disabling the coupling to SWAN. The differences are zero everywhere.
However, the new SWAN v41.31 will cause differences in the wave predictions in the coupled SWAN+ADCIRC. These differences are due to a change in how SWAN computes derivatives of the ambient currents on unstructured meshes. Previously, these derivatives were computed as backward differences.
In v41.31, these derivatives are computed by using the Green-Gauss formula. This change will improve the accuracy of the solution, but it will cause differences in the wave predictions relative to previous versions. In this section, we show these differences for three examples.
In Figure 2, we show predictions of significant wave heights on the same example of the coupled SWAN+ADCIRC, but now with the full coupling enabled. Winds, water levels, currents, and friction roughness lengths are passed from ADCIRC, and wave radiation stress gradients are passed from SWAN.
The significant wave heights are different between the two versions. Ignoring the differences at the wet/dry front (shown as brief red flashes in the animation), we see the significant wave heights are generally smaller in the new v41.31. The maximum differences are about 50 cm in the river estuaries, and the wave heights are smaller by 10 to 20 cm throughout the sounds as the storm passes.
In Figure 3, we show predictions of significant wave heights on a larger (but still coarse) model of the Gulf of Mexico during Hurricane Gustav (2008). This model has also been shared previously as an example of the coupled SWAN+ADCIRC, and we are running it here with the full coupling.
The significant wave heights are different between the two versions, with the largest differences of about 50 cm on the leeward side of Cuba as the storm enters the Gulf. These differences propagate away from the storm and become large again as they enter shallower water on the continental shelf.
In Figure 4, we again show predictions of significant wave heights during Hurricane Irene (2011), but now on a larger, higher-resolution mesh. The NC9 mesh was developed for floodplain mapping studies for FEMA and is now used for real-time forecasting for North Carolina. Its coverage extends into the Atlantic Ocean, so it can show the evolution of waves in deep water.
The significant wave heights are again different, especially in regions where they interact with currents on the continental shelf. In the new v41.31, the wave heights are smaller by more than 1 m near the shelf break, but then larger by close to 1 m in regions closer to shore. These differences in the waves will then translate into differences in the currents and water levels, via the feedbacks in the coupled SWAN+ADCIRC.
Thus, the new v41.31 can have large differences in its wave predictions, due to its updated method of computing derivatives for ambient currents on unstructured meshes. Users will need to be careful to do a complete re-calibration, so that they are not surprised by changes in their model results.
For the next release version 55 of the coupled SWAN+ADCIRC, the SWAN component has been upgraded to its newest release version 41.31. This new SWAN version has several new features (including the so-called ST6 physics package), but its predictions will also differ from previous versions of the coupled models. Predictions of significant wave heights can differ by as much as 50 cm.
FPAs must implement G-Invoicing for New Orders by October 2022. The mandated implementation deadline of October 2022 for New Orders includes Orders with a Period of Performance beginning October 1, 2022 or later.
FPAs must implement G-Invoicing for \"In-Flight\" Orders by October 2023. The mandated implementation deadline of October 2023 for \"In-Flight\" Orders includes the conversion of Orders with an open balance and a Period of Performance extending beyond September 30, 2023. 59ce067264