This file is related to Piezo1-mechanically sensitive channel study

3D ultrasound data acquired with a matrix probe and philips system in february 2023.

Dataset_PHILIPS_save3D_and_saveMPR:

Left and right thyroid lobe scan of 57 healthy volunteers.

Data is ordered by participant numbers, containing 10 files per patient:

3 MPR files (axial, coronal and saggital orientation) per lobe (higher resolution)

1 Save3D DICOM (philips) file per lobe (more slices)

This data was not altered after collection from the US system.

Annotated 27 subjects:

Contains the first 27 subjects of the folder Dataset_PHILIPS_save3D_and_saveMPR_35GB. Philips DICOM tags were changed to regular DICOM tags and samples were rotated. Contains one annotation file per subject containing thyroid, jugular vein and cartid artery.

More information can be found in my thesis: deep learning segmentation of 3D ultrasound thyroid imaging

RTLS in Healthcare Market is predicted to reach USD 8.02 billion by 2030 with a CAGR of 18.1%

The Umbilical Cord Mesenchymal Stem Cell (UC-MSC) storage market is an emerging segment within the broader field of regenerative medicine, drawing significant interest from both healthcare professionals and expectant parents. This market revolves around the collection and cryogenic storage of mesenchymal stem cells

The Premedical SMP Data Collection file contains the responses obtained from the survey that is provided in the supporting information section. The file consists of two spreadsheets: one spreadsheet is for respondents that attended a SMP prior to medical school (SMP Students tab) and one for those that did not (Traditional Students tab).

PurposeThe Mid Sweden Cohort (MSC) was established to investigate self-perceived oral and general health among two groups of aging individuals in two counties (Örebro and Östergötland) in Sweden. For internal and external data validation, we linked collected data on health status, behavior, sociodemographic circumstances, and dependency with national register data from Statistics Sweden and compared non-respondents and those lost to follow-up to respondents.ParticipantsMSC is based on a longitudinal multiwave study of aging men and women who answered a cross-sectional questionnaire from MSC: (1) the 1992 cohort including participants aged 50 years in 1992 and (2) the 2007 cohort including participants aged 75 years in 2007. After the baseline surveys, data collection was conducted every 5 years, with the latest wave from 2017 included in our validation. Between 1992 and 2017, 8,879 participants were included in cohort 1, while 5,191 individuals were included in cohort 2 between 2007 and 2017.ResultsAfter linking self-reported data with national register-based data and analyzing loss to follow-up and non-response numbers, we found that, besides age, factors such as being male, having immigrant status, lower income and education level, being single, and being in poor health were predictors of non-response and loss to follow-up, aligning with the findings of other studies. Based on our results, we conclude the MSC is reliable for further research, provided the observed bias is taken into account.Future plansUsing the MSC, we aim to analyze self-reported oral health changes as a predictor of dependency in the elderly and track oral health status over time. Furthermore, we plan to link data with register-based clinical oral health records. We also intend to add the 2022 wave data and future waves into the existing dataset.

The Mesenchymal Stem Cell (MSC) Therapy market is experiencing remarkable growth and innovation, emerging as a pivotal segment within regenerative medicine. Mesenchymal stem cells, known for their capability to differentiate into various cell types and their potential to modulate immune responses, are increasingly b

Medical care for admitted patients is increasingly reallocated to physician assistants (PAs), because of an increased appreciation of continuity of care, pressure to deliver healthcare efficiently, and local shortages of medical doctors (MDs). A PA is a non-physician healthcare professional licensed to practice medicine in defined domains, with variable degrees of professional autonomy. PAs who are employed for medical care for admitted patients usually work in a team compromising both PAs and MDs (i.e. residents, staff physicians or hospitalists). Although there is a worldwide trend of an increase of PAs in the management of hospitalized patients, evidence about the consequences of reallocating inpatient care from MDs to PAs for healthcare outcomes is limited. This study aimed to determine the effects of substitution of inpatient care from MDs to PAs on patients’ lenght of stay, quality and safety of care, patient experiences and costs. Also the impact on guideline adherence on medication prescribing has been investigated. In a multicenter matched-controlled study, the traditional model in which only MDs are employed for inpatient care was compared with a mixed model in which besides MDs also PAs are employed. Thirty-four wards were recruited across the Netherlands. Patients were followed from admission till one month after discharge. In total, 2,307 patients were included

Patients often provide untruthful information about their health to avoid embarrassment, evade treatment, or prevent financial loss. Privacy disclosures (e.g. HIPAA) intended to dissuade privacy concerns may actually increase patient lying. We used new mouse tracking-based technology to detect lies through mouse movement (distance and time to response) and patient answer adjustment in an online controlled study of 611 potential patients, randomly assigned to one of six treatments. Treatments differed in the notices patients received before health information was requested, including notices about privacy, benefits of truthful disclosure, and risks of inaccurate disclosure. Increased time or distance of device mouse movement and greater adjustment of answers indicate less truthfulness. Mouse tracking revealed a significant overall effect (p < 0.001) by treatment on the time to reach their final choice. The control took the least time indicating greater truthfulness and the privacy + risk group took the longest indicating the least truthfulness. Privacy, risk, and benefit disclosure statements led to greater lying. These differences were moderated by gender. Mouse tracking results largely confirmed the answer adjustment lie detection method with an overall treatment effect (p < .0001) and gender differences (p < .0001) on truthfulness. Privacy notices led to decreased patient honesty. Privacy notices should perhaps be administered well before personal health disclosure is requested to minimize patient untruthfulness. Mouse tracking and answer adjustment appear to be healthcare lie-detection methods to enhance optimal diagnosis and treatment.

This report contains the results of the 2024 Licensed Master’s Social Worker (LMSW) Workforce Survey. Among all LMSWs, 987 voluntarily participated in this survey. The Virginia Department of Health Professions’ Healthcare Workforce Data Center (HWDC) administers the survey during the license renewal process, which takes place every June for LMSWs. These survey respondents represent 64% of the 1,531 LMSWs licensed in the state and 98% of renewing practitioners.

Data scrapped from vlr.gg

Features: -Player: Player Nickname -Country -Team -FirstAgent: Main agent played -SecondAgent: Second agent most played (if not OTP) -MoreThan2Agents: 1 when the player played more than two agents -OTP: 1 when the player only played one agent -Rounds -AverageCombatScore -KillsDeaths: KD -AverageDamagePerRound -KillsPerRound -AssistsPerRound -FirstKillsPerRound -FirstDeathsPerRound -HeadshotPercentage: Headshots*100/all shots -ClutchesPercentage: clutches won/all clutches -MaxKillsPerMap -Kills: Total kills -Deaths: Total deaths -Assists: Total assists -FirstKills -FirstDeaths

Explore the progression of average salaries for graduates in Masters Of Public Health from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Masters Of Public Health relative to other fields. This data is essential for students assessing the return on investment of their education in Masters Of Public Health, providing a clear picture of financial prospects post-graduation.

This data includes the name and location of active food service establishments and the violations that were found at the time of the inspection. Active food service establishments include only establishments that are currently operating. This dataset excludes inspections conducted in New York City (https://data.cityofnewyork.us/Health/Restaurant-Inspection-Results/4vkw-7nck), Suffolk County (http://apps.suffolkcountyny.gov/health/Restaurant/intro.html) and Erie County (http://www.healthspace.com/erieny). Inspections are a “snapshot” in time and are not always reflective of the day-to-day operations and overall condition of an establishment. Occasionally, remediation may not appear until the following month due to the timing of the updates. Update frequencies and availability of historical inspection data may vary from county to county. Some counties provide this information on their own websites and information found there may be updated more frequently. This dataset is refreshed on a monthly basis. The inspection data contained in this dataset was not collected in a manner intended for use as a restaurant grading system, and should not be construed or interpreted as such. Any use of this data to develop a restaurant grading system is not supported or endorsed by the New York State Department of Health. Historical inspection data through 2005 is also available. Inactive (closed) establishments can be found at: https://health.data.ny.gov/Health/Food-Service-Establishment-Inspections-Beginning-2/aaxz-j6pj. For more information, visit http://www.health.ny.gov/regulations/nycrr/title_10/part_14/subpart_14-1.htm or go to the “About” tab.

This is the data set for the study on the characteristics and motivational factors of applicants of Masters of Health Professions Education program.

Description: This dataset provides comprehensive statistics from the VALORANT Masters Madrid 2024 tournament, a major event in the VALORANT Champions Tour. It includes player information, team details, and performance metrics such as kills (K), deaths (D), assists (A), kill/death ratio (KD), kill/death/assist ratio (KDA), average combat score per map (ACS/Map), kills per map (K/Map), deaths per map (D/Map), and assists per map (A/Map).

Context: The dataset is sourced from liquipedia.net, a community-driven esports encyclopedia covering various esports titles, including VALORANT. The statistics provide valuable insights into player performance, team strategies, and overall tournament dynamics during the VALORANT Masters Madrid 2024 event.

Sources:

• Data Source: liquipedia.net
• Dataset Creator: Rakesh kudmulwar

Inspiration: The dataset was created to support research and analysis in the field of esports analytics, specifically focusing on competitive VALORANT tournaments. By providing detailed statistics from a prominent event like VALORANT Masters Madrid 2024, researchers, analysts, and enthusiasts can gain insights into player performance trends, team strategies, and meta developments within the VALORANT esports scene.

This dataset contains Hospital Chargemasters with prices in effect as of June 1 of their reporting year. Chargemasters consists of a list of average charges for 25 common outpatient procedures, and the estimated percentage change in gross revenue due to price changes each July 1.

For more on HCAI Chargemaster Data.

This table is the raw data of all policies, strategies, and action plans included in the study titled "Rehabilitation in national health planning: a narrative review of laws and policies in five European countries" submitted for the Masters of Arts in Health Sciences at the University of Lucerne, Switzerland.

Explore the progression of average salaries for graduates in Nursing Bachelors Degree And Currently Studying Masters Degree With Special Health Services Admini from 2020 to 2023 through this detailed chart. It compares these figures against the national average for all graduates, offering a comprehensive look at the earning potential of Nursing Bachelors Degree And Currently Studying Masters Degree With Special Health Services Admini relative to other fields. This data is essential for students assessing the return on investment of their education in Nursing Bachelors Degree And Currently Studying Masters Degree With Special Health Services Admini, providing a clear picture of financial prospects post-graduation.

This dataset contains several subjects suffered a stroke and underwent a course of

comprehensive rehabilitation in National Medical and Surgical Centre n.a. N.I. Pirogov Moscow, Russia.

BIDS Specification: https://bids-specification.readthedocs.io/en/stable/

BIDS directory overview https://bids-specification.readthedocs.io/en/stable/02-common-principles.html#single-session-example

participants.tsv and participants.json https://bids-specification.readthedocs.io/en/stable/02-common-principles.html#tabular-files https://bids-specification.readthedocs.io/en/stable/03-modality-agnostic-files.html#participants-file

dataset_description.json https://bids-specification.readthedocs.io/en/stable/03-modality-agnostic-files.html#dataset_description

README https://bids-specification.readthedocs.io/en/stable/03-modality-agnostic-files.html#readme

CHANGES https://bids-specification.readthedocs.io/en/stable/03-modality-agnostic-files.html#changes

The dataset is a result of the master thesis 'An Interactive Suicide Ideation Self-Test Service for Helping People Resolve Barriers towards Contacting a Suicide Prevention Helpline'. It also includes an R script with details of the analysis. An experimental research was conducted for the topic with measures of participants' motivation levels towards seeking professional psychological help, feeling of being heard, satisfaction with the service and perceived usefulness. The data was collected from participants recruited from Prolific.The type of data is discrete quantitative data.