September 2024

All Employees: Health Care: Hospitals in Boston-Cambridge-Newton, MA (NECTA Division) was 133.20000 Thous. of Persons in January of 2023, according to the United States Federal Reserve. Historically, All Employees: Health Care: Hospitals in Boston-Cambridge-Newton, MA (NECTA Division) reached a record high of 133.20000 in January of 2023 and a record low of 80.70000 in January of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Health Care: Hospitals in Boston-Cambridge-Newton, MA (NECTA Division) - last updated from the United States Federal Reserve on November of 2025.

All Employees: Education and Health Services: Hospitals in Boston-Cambridge-Newton, MA (NECTA Division) was 136.83648 Thous. of Persons in December of 2024, according to the United States Federal Reserve. Historically, All Employees: Education and Health Services: Hospitals in Boston-Cambridge-Newton, MA (NECTA Division) reached a record high of 137.79037 in May of 2024 and a record low of 80.03379 in June of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for All Employees: Education and Health Services: Hospitals in Boston-Cambridge-Newton, MA (NECTA Division) - last updated from the United States Federal Reserve on December of 2025.

Noise pollution in cities has major negative effects on the health of both humans and wildlife. Using iPhones, we collected sound-level data at hundreds of locations in four areas of Boston, Massachusetts (USA) before, during, and after the fall 2020 pandemic lockdown, during which most people were required to remain at home. These spatially dispersed measurements allowed us to make detailed maps of noise pollution that are not possible when using standard fixed sound equipment. The four sites were: the Boston University campus (which sits between two highways), the Fenway/Longwood area (which includes an urban park and several hospitals), Harvard Square (home of Harvard University), and East Boston (a residential area near Logan Airport). Across all four sites, sound levels averaged 6.4 dB lower during the pandemic lockdown than after. Fewer high noise measurements occurred during lockdown as well. The resulting sound maps highlight noisy locations such as traffic intersections and qui..., We collected sound measurements within four different urban sites in Boston, Massachusetts. Working in small teams of 2-4 people, we used the mobile app SPLnFFT to collect sound level data in A-weighted decibel readings using smartphones. We exclusively used iPhones for data collection for consistency in hardware and software. Before each collection, we calibrated each iPhone to the same standard, which was used for every collection outing. We recorded the L50 value (the median sound level) for each recording because the L50 value is less affected by short bursts of loud sound than the mean reading. Recordings ran for approximately 20 seconds each. We recorded all sound measurements between 9 am and 5 pm on workdays to avoid the influence of rush-hour traffic, and only collected data on days without rain, snow, or strong wind to prevent inaccuracies due to weather. Within these conditions, we collected sound measurements over multiple days and at different times to ensure representative..., , # Data from: Maps made with smartphones highlight lower noise pollution during COVID-19 pandemic lockdown at four locations in Boston

https://doi.org/10.5061/dryad.ncjsxkt35

Dataset contents include csv files of all data (each file describes collection year and site of data), R script used to create noise maps, and kml files needed to run the map creation code.

Description of the data and file structure

Each csv file contains the L50 values (median sound level) taken from hundreds of 20 second recordings over multiple collection days. The SPLnFFT application exports the latitude and longitude of where the recording was taken, which is also included in the csv files and is used to create the noise maps. The csv files are used as data frames for the R script to create noise maps for each collection site. The R script contains comments and instructions to clearly indicate each step of the map creation. The kml files are used to create bound...

To elucidate the role of Tau isoforms and PTM stoichiometry in Alzheimer’s disease (AD), we generated a high resolution quantitative proteomic map of 88 PTMs on multiple isoforms of Tau isolated from the post-mortem human tissue from 49 AD and 42 control subjects. While Tau PTM maps reveal heterogeneity across subjects, a subset of PTMs display high occupancy and patient frequency for AD suggesting importance in disease. Unsupervised analyses indicate that PTMs occur in an ordered manner leading to Tau aggregation. The processive addition and minimal set of PTMs associated with seeding activity was further defined by the analysis of size fractionated Tau. To summarize, critical features within the Tau protein for disease intervention at different stages of disease are identified, including enrichment of 0N and 4R isoforms, underrepresentation of the C-terminal, an increase in negative charge in the PRR and a decrease in positive charge in the MBD.