This dataset tracks annual free lunch eligibility from 1993 to 2023 for Harris R P Elementary School vs. Texas and Houston Independent School District

This dataset tracks annual free lunch eligibility from 1993 to 2023 for R. P. Dawkins Middle School vs. South Carolina and Spartanburg 06 School District

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

The demonstration of Direct Certification with Medicaid for Free and Reduced-Price Meals (DCM-F/RP) allows authorized States and school districts to use information from Medicaid data files to identify students eligible to receive free or reduced-price (F/RP) National School Lunch Program (NSLP) and School Breakfast Program (SBP) meals. The Food and Nutrition Service (FNS) contracted with Mathematica Policy Research to conduct a study of the first two years of this demonstration to describe the implementation process and explore the effects on certification, participation, Federal reimbursements, and State administrative costs. This report presents the findings from the first year of the demonstration evaluation, school year (SY) 2016–2017.

2018-2022 5-year American Community Survey estimates of free and reduced-price meal eligible children ages 0-12 and 0-18 by census block group and tract. (https://www.fns.usda.gov/area-eligibility)

Digital orthophotos (DOP) are distortion-free and true-to-scale photographic images of the earth's surface. They are derived from oriented digital aerial images and a digital elevation model. TrueDOP uses an image-based digital surface model (bDOM) as its elevation model. Specifications: DOP20 RGB - with three spectral channels (red, green, blue)

Historical Dataset of Harris R P Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1991-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1991-2023),Asian Student Percentage Comparison Over Years (2001-2004),Hispanic Student Percentage Comparison Over Years (1991-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2019-2020),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2000-2018),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

Collection of various system prompts for RP. Feel free to contribute more by opening a discussion. ChuckMcSneed-interesting:

my currently favorite system prompt includes Orwells writing rules +writes in non-boring style +more realistic reactions +eliminates a lot of GPTslop -writing style is not for everyone -complains more, but still does what is requested -sometimes reddit-like

ChuckMcSneed-multistyle

List of various styles All of them tested with examples Ranges from good to shit… See the full description on the dataset page: https://huggingface.co/datasets/ChuckMcSneed/various_RP_system_prompts.

Historical Dataset of R. P. Dawkins Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1987-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1987-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1999-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1993-2023),Reduced-Price Lunch Eligibility Comparison Over Years (1999-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

Output formatted extracts from ALKIS, property map Rhineland-Palatinate (RP31) analogue or print-prepared (PDF). In the property register, data of a factual and legal nature must be provided on all properties (lots and buildings), including data on the owners and hereditary builders of the plots. The property register consists in particular of the property map and the property description. The property map is the scaled down and leveled graphical representation of all in the official property cadastre information system (ALKIS®) managed properties. The presentation of the property map on a scale of 1: 1 000 is an official property map and a graphical basis for the official list of plots of land within the meaning of Paragraph 2(2) of the Land Registry Code. The product RP31 - Property map shows the graphic representation of the plot on the selected scale (free scale). The choice of scale 1:1000 (official property map) may be necessary due to specific requirements of external persons and bodies.

OR, odds ratio; CI, confidence interval; PFP, progression-free probability.*Obesity was defined as BMI ≥30;†Postoperative PSA was log-transformed;‡PFP was arcsine-transformed.Model 1: adjusting for age.Model 2: adjusting for age, black race, family history, current smoker.

Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards

In this community effort, we compared measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as new suite of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method (SOP) and/or their method of choice (OTHER). Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively.

The attached file "ILS-Ceramide-Ring-Trial-Datasets.csv" and the table below map the lab number (LabNum) used in the manuscript in all plots to the originally assigned submission Id (LabId) used in the anonymized reports containing the peak areas submitted by each lab for their SOP (Standard) and / or OTHER (Preferred) workflow. The table below provides further information on the separation used (LC), the mass analyzer type (QQQ=Triple Quads and Traps, Orbitrap, TOF) and the associated mass analyzer resolution (LowRes, HighRes), and links each LabNum to the corresponding dataset name and Zenodo DOI, if available. In order to retain the anonymity of all participating labs w.r.t. the submitted datasets, only the converted mzML files are provided in the linked submissions. Please note that labs were free to choose whether they wanted to disclose their MS data or not. Thus, missing datasets indicate that the corresponding lab did not provide their raw / mzML data.

All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: https://zenodo.org/doi/10.5281/zenodo.10081970. This links to releases of the following GitHub repository: https://github.com/lifs-tools/ils-ceramide-ring-trial.

Ring Trial mzML Datasets

LabNum LabId Protocol LC MassAnalyzerType MassAnalyzerResolution DatasetName DOI

1 02b SOP RP QQQ LowRes Lab_01_SOP 10.5281/zenodo.13134264

2 3 OTHER RP QQQ LowRes Lab_02_OTHER 10.5281/zenodo.13145059

3 4 SOP RP QQQ LowRes Lab_03_SOP 10.5281/zenodo.13134437

4 5 OTHER RP QQQ LowRes Lab_04_OTHER

5 7 OTHER RP Orbitrap HighRes Lab_05_OTHER 10.5281/zenodo.13134439

6 9 OTHER FIA QQQ LowRes Lab_06_OTHER 10.5281/zenodo.13134441

7 10a SOP RP QQQ LowRes Lab_07_SOP 10.5281/zenodo.13134445

7 10b OTHER RP QQQ LowRes Lab_07_OTHER 10.5281/zenodo.13134443

8 12 SOP RP QQQ LowRes Lab_08_SOP 10.5281/zenodo.13134447

9 13 OTHER RP QQQ LowRes Lab_09_OTHER

10 14 SOP RP QQQ LowRes Lab_10_SOP

11 15 SOP RP QQQ LowRes Lab_11_SOP 10.5281/zenodo.13134449

12 16 OTHER RP Orbitrap HighRes Lab_12_OTHER 10.5281/zenodo.13134451

13 17a OTHER RP TOF HighRes Lab_13_OTHER

14 18a SOP RP QQQ LowRes Lab_14_SOP 10.5281/zenodo.13135617

14 18b SOP RP QQQ LowRes Lab_14_SOP 10.5281/zenodo.13135617

15 19 SOP RP QQQ LowRes Lab_15_SOP 10.5281/zenodo.13135625

16 20a SOP RP QQQ LowRes Lab_16_SOP

16 20b OTHER RP QQQ LowRes Lab_16_OTHER

17 21 SOP RP QQQ LowRes Lab_17_SOP

18 22 SOP RP QQQ LowRes Lab_18_SOP 10.5281/zenodo.13135627

19 23 SOP RP QQQ LowRes Lab_19_SOP 10.5281/zenodo.13135629

20 24 SOP RP QQQ LowRes Lab_20_SOP

21 25 SOP RP QQQ LowRes Lab_21_SOP 10.5281/zenodo.13244007

22 26a OTHER FIA Orbitrap HighRes Lab_22_OTHER

22 26b OTHER FIA QQQ LowRes Lab_22_OTHER

23 27 SOP RP QQQ LowRes Lab_23_SOP 10.5281/zenodo.13135632

24 28 SOP RP QQQ LowRes Lab_24_SOP 10.5281/zenodo.13135634

25 29a SOP RP TOF HighRes Lab_25_SOP 10.5281/zenodo.13136167

25 29b OTHER SFC QQQ LowRes Lab_25_OTHER 10.5281/zenodo.13135638

26 30 SOP RP QQQ LowRes Lab_26_SOP 10.5281/zenodo.13136171

27 31 SOP RP QQQ LowRes Lab_27_SOP 10.5281/zenodo.13136176

28 32 OTHER RP TOF HighRes Lab_28_OTHER

29 33 OTHER RP QQQ LowRes Lab_29_OTHER

30 34 SOP RP QQQ LowRes Lab_30_SOP

31 35 OTHER RP QQQ LowRes Lab_31_OTHER

32 36 SOP RP QQQ LowRes Lab_32_SOP 10.5281/zenodo.13166454

33 37 OTHER RP QQQ LowRes Lab_33_OTHER 10.5281/zenodo.13732469

34 38 SOP RP QQQ LowRes Lab_34_SOP 10.5281/zenodo.13324807

Description of the INSPIRE Download Service (predefined Atom): Digital orthophotos (DOP) are distortion-free and true-to-scale photographic images of the earth's surface. They are derived from oriented digital aerial images and a digital elevation model. TrueDOP uses an image-based digital surface model (bDOM) as its elevation model. Specifications: DOP20 CIR - with three spectral channels (red, green, infrared) - The link(s) for downloading the data sets is/are dynamically generated from Get Map calls to a WMS interface

This documentation and dataset can be used to test the performance of automated fault detection and diagnostics algorithms for buildings. The dataset was created by LBNL, PNNL, NREL, ORNL and ASHRAE RP-1312 (Drexel University). It includes data for air-handling units and rooftop units simulated with PNNL's large office building model.

BackgroundA number of studies have investigated the effect of perioperative blood transfusion (PBT) for patients after radical prostatectomy (RP), with some reporting conflicting results. A systematic review of the literature and a meta-analysis were conducted to explore the association between PBT (autologous or allogeneic) and biochemical recurrence-free survival (BRFS), overall survival (OS) and cancer-specific survival (CSS) in patients undergoing RP.MethodsThe PubMed, Medline, Cochrane Library, and Embase databases were searched for published controlled clinical studies on perioperative allogeneic or autologous blood transfusion (BT) and patient survival after RP. STATA software version 12.0 was used for data analysis. We used hazard ratios (HRs) and 95% confidence intervals (CIs) to test the correlation between BT and patient survival after RP.ResultsData from a total of 26,698 patients in ten published studies were included in the meta-analysis. The meta-analysis results showed that autologous BT was not associated with BRFS (HR: 1.06; 95% CI: 0.96–1.18; Z = 1.17; P = 0.24), OS (HR: 0.86; 95% CI: 0.71–1.04; Z = 1.58; P = 0.11), or CSS (HR: 0.98; 95% CI: 0.49–1.96; Z = 0.05; P = 0.96). Allogeneic BT exhibited a significant association with worse BRFS (HR: 1.09; 95% CI: 1.01–1.16; Z = 2.37; P = 0.02), OS (HR: 1.43; 95% CI: 1.24–1.64; Z = 4.95; P

Clinical and pathologic characteristics by Ki-67 expression.

ObjectiveTo derive and evaluate the association of prostate shape distension descriptors from T2-weighted MRI (T2WI) with prostate cancer (PCa) biochemical recurrence (BCR) post-radical prostatectomy (RP) independently and in conjunction with texture radiomics of PCa.MethodsThis retrospective study comprised 133 PCa patients from two institutions who underwent 3T-MRI prior to RP and were followed up with PSA measurements for ≥3 years. A 3D shape atlas-based approach was adopted to derive prostate shape distension descriptors from T2WI, and these descriptors were used to train a random forest classifier (CS) to predict BCR. Texture radiomics was derived within PCa regions of interest from T2WI and ADC maps, and another machine learning classifier (CR) was trained for BCR. An integrated classifier CS+R was then trained using predictions from CS and CR. These models were trained on D1 (N = 71, 27 BCR+) and evaluated on independent hold-out set D2 (N = 62, 12 BCR+). CS+R was compared against pre-RP, post-RP clinical variables, and extant nomograms for BCR-free survival (bFS) at 3 years.ResultsCS+R resulted in a higher AUC (0.75) compared to CR (0.70, p = 0.04) and CS (0.69, p = 0.01) on D2 in predicting BCR. On univariable analysis, CS+R achieved a higher hazard ratio (2.89, 95% CI 0.35–12.81, p < 0.01) compared to other pre-RP clinical variables for bFS. CS+R, pathologic Gleason grade, extraprostatic extension, and positive surgical margins were associated with bFS (p < 0.05). CS+R resulted in a higher C-index (0.76 ± 0.06) compared to CAPRA (0.69 ± 0.09, p < 0.01) and Decipher risk (0.59 ± 0.06, p < 0.01); however, it was comparable to post-RP CAPRA-S (0.75 ± 0.02, p = 0.07).ConclusionsRadiomic shape descriptors quantifying prostate surface distension complement texture radiomics of prostate cancer on MRI and result in an improved association with biochemical recurrence post-radical prostatectomy.