Higuera, P.E. and P.V. Dunnette. 2014. Data, code, and figures from Dunnette et al. 2014, Biogeochemical impacts of wildfires over four millennia in a Rocky Mountain subalpine watershed. New Phytologist In Press (doi: 10.1111/nph.12828). figShare: http://dx.doi.org/10.6084/m9.figshare.988687
Overview
This archive includes data and scripts needed to reproduce the analyses in Dunnette et al. 2014; it includes 49 files and is 23 MB when downloaded as a .zip archive. After extracting the .zip archive, sort by file type. Most data files are in .csv format, while some are in .xls format. Scripts and functions are written for MATLAB software (*.m file type; www.mathworks.com), and each is file fully commented, including dependencies. For some scripts or functions, the MATLAB statistics or curve fitting toolbox is required; all other functions required are provided in this archive.
Contact: Philip Higuera, University of Idaho, PaleoEcology and Fire Ecology Lab<EMAIL_ADDRESS>Citation Information
Original Reference - please cite if you use data, code, or figures in your own work
*The definitive version of this paper is available at http://www.newphytologist.com
Online Resources
Higuera, P.E. and P.V. Dunnette. 2014. Data, code, and figures from Dunnette et al. 2014, Biogeochemical impacts of wildfires over four millennia in a Rocky Mountain subalpine watershed. New Phytologist In Press (doi: 10.1111/nph.12828). figShare: http://dx.doi.org/10.6084/m9.figshare.988687
Also available from:
- github: https://github.com/HigueraLab/Dunnette_et_al_2014_NewPhytologist/
- University of Idaho PaleoEcology and Fire Ecology Lab: http://www.uidaho.edu/cnr/paleoecologylab
Contents
- Chickaree Lake Biogeochemical Data
- Chickaree Lake Biogenic Silica Data
- Chicakree Lake Loss-on-ignition Data
- Chickaree Lake Charcoal Data
- Chickaree Lake Magnetic Susceptibility Data
- Chickaree Lake Chronology Data
- Chickaree Lake Pollen Data
- MATLAB Code to generate figures
- Figures
1. Chickaree Lake Biogeochemical Data
File: CH10_biogeochemData.csv
Includes the following raw data (by column):
- core_ID: Sediment core identifier
- drive_ID: Drive identifier
- top_sam #: Top sample number
- bot_sam #: Bottom sample number
- top_cm: Top depth of sample (cm)
- bot_cm: Bottom depth of sample (cm)
- top_age: Top age of sample (cal. yr before CE 1950)
- bot_age: Bottom age of sample (cal. yr before CE 1950)
- d15N: Nitrogen isotopic composition (delta 15N; per mil)
- %N: Percent Nitrogen (by weight)
- d13C: Carbon isotopic composition (delta 13C; per mil)
- %C: Percent Carbon (by weight)
- C:N_atomic_ratio: Ratio of %C to %N (atomic)
- bulk_density: Bulk density (dry g wet cm-3)
- C_acc: Carbon accumulation rate (g cm-2 yr-1)
- MS_SI : Magnetic susceptibility (SI units)
Missing Values: NaN
Checksum values:
- 635 rows (with headers), 16 columns
- Column 3 (top_sam #): 58551
- Column 5 (top_cm): 201836
- Column 10 (%N): 626.83
- Column 15 (C_acc): 341.58
2. Chickaree Lake Biogenic Silica Data
File: CH10_BSiData.csv
Includes the following raw data (by column):
- top_cm: top depth of sample (cm)
- bot_cm: bottom depth of sample (cm)
- top_age: top age of sample (cal. yr before CE 1950)
- bot_age: bottom age of sample (cal. yr before CE 1950)
- %BSi: Percent biogenic silica (by weight)
- d15NAIR: Nitrogen isotopic composition (delta 15N; per mil)
- %N: Percent Nitrogen (by weight)
- d13CVPDB_17O_corrected: Carbon isotopic composition delta 13C; per mil)
- %C: Percent Carbon (by weight)
- C:N_atomic_ratio: Ratio of %C to %N (atomic)
- bulk_density: Bulk density (dry g / wet cm3)
Missing Values: None
Checksum values:
- 41 rows (with headers), 11 columns
- Column 3 (top_cm): 69935
- Column 5 (%BSi): 1042.45
- Column 10 (C:N): 591.52
3. Chickaree Lake Loss-on-ignition Data
File: CH10_LOI_Data.csv
Includes the following raw data (by column):
- core_ID: Sediment core identification number
- drive_ID: Drive identifier
- top_sam #: Top sample number
- bot_sam #: Bottom sample number
- top_cm: top depth of sample (cm)
- bot_cm: bottom depth of sample (cm)
- top_age: top age of sample (cal. yr before CE 1950)
- bot_age: bottom age of sample (cal. yr before CE 1950)
- d15N: Nitrogen isotopic composition (delta 15N; per mil)
- %N: Percent nitrogen (by weight)
- d13C: Carbon isotopic composition (delta 13C; per mil)
- %C: Percent carbon (by weight)
- C:N_atomic_ratio: Ratio of %C to %N (atomic)
- bulk_density: Bulk density (dry g wet cm-3)
- LOI_550: Loss on ignition at 550 C (% organic matter; multiply by 100)
- LOI_1000: Loss on ignition at 1000 C (% organic matter; multiply by 100)
Missing Values: None
Checksum values:
- 124 rows (with headers), 16 columns
- Column 3 (top_samp #): 12010
- Column 5 (top_cm): 31833.7
- Column 10 (%N): 161.05
- Column 15 (LOI_550): 38.63
4. Chickaree Lake Charcoal Data
Files: CH10_charData.csv
, CH10_charParams.csv
, CH10_charResults.csv
Three files provide the raw input data, the parameters used, and the output data for charcoal analysis via the program CharAnalysis (see Materials and Methods in main text, and web site https://sites.google.com/site/charanalysis/).
4.1 CH10_charData.csv
Includes the following raw data (by column):
- cmTop: top depth (cm) of the sample
- cmBot: bottom depth (cm) of the sample
- ageTop: estimated age at top of sample (cal. yr before CE 1950)
- ageBot: estimated age at bottom of sample (cal. yr before CE 1950)
- charVol: volume of sediment subsample from which charcoal was prepared (cm3)
- charCount: pieces of charcoal counted in the sample (#)
Missing values: None
Checksum values:
- 1202 rows (with headers), 6 columns
- Column 3 (ageTop): 2446519
- Column 6 (charCount): 38218
4.2 CH10_charParams.csv
See CharAnalysis User's Guide for description of parameters file, available at the web site linked to above.
Missing values: -9999 (column 3) or blank cell (all others)
Checksum values:
- 26 rows (with headers), 5 columns
- Column 3 (Parameters): -39779
4.3 CH10_charResults.csv
Includes the following derived data (reflecting interpolation):
- cmTop_i: top depth (cm) of interpolated sample
- ageTop_i: bottom depth (cm) of interpolated sample
- charCount_i: pieces of charcoal in interpolated sample
- charVol_i: volume of interpolated sample
- charCon_i: charcoal concentration in interpolated sample (pieces/cm3)
- charAcc_i: charcoal accumulation rate, based in interpolated concentration and age (pieces/cm2 yr)
- charBkg: background charcoal, Cback, smoothed based on methods selected in _charParams.csv file, (pieces/cm2 yr)
- charPeak: peak charcoal, Cpeak, based on methods selected in _charParams.csv file, (pieces/cm2*yr)
- thresh1: threshold value (pieces/cm2 yr) based on first threshold entered in _charParams.csv file
- thresh2: same as thresh1, but for second threshold entered
- thresh3: same as thresh1, but for third threshold entered
- threshFinalPos: positive threshold value (pieces/cm2 yr), based on fourth threshold value entered in *charParams.csv file
- threshFinalNeg: negative threshold value (pieces/cm2 yr), based on fourth threshold value entered in *charParams.csv file
- SNI: signal-to-noise index values, based on threshdFinalPos values
- threshGOF: P value from KS goodness-of-fit test between fitted noise distribution and empirical data below the sample-specific threshold
- peaks1: samples that exceed thresh1 values are identified by "1"; only the first sample is identified
- peaks2: same as peaks1, but for the second threshold value
- peaks3: same as peaks1, but for the third threshold value
- peaksFinal: same as peaks1, but for the final threshold value
- peaksInsig.: peaks that exceeded threshFinalPos (the final threshold), but did not pass the minimum-count test are identified with a "1"
- peakMag: peak magnitude is the total pieces of charcoal accumulated in a given peak (pieces/cm2*peak); if a peak is only one sample long, then peak magnitude is simply CHAR minus the positive threshold. If a peak is more than one sample long, then each sample exceeding threshFinal is summed
- smPeak Frequ: frequency of peaks (from peaksFinal) smoothed over time, as set in *_charParams.csv file
- smFRIs: fire return intervals (from peaksFinal) smoothed over time, as set in *_charParams.csv file
Missing values: NaN
Checksum values:
- 458 rows (with headers), 23 columns
- Column 2 (age Top_i): 1014540
- Column 6 (char Acc_i): 753.8938
- Column 19 (peaks Final): 36
5. Chickaree Lake Magnetic Susceptibility Data
Files : CH10_MS_charParams.csv
, CH10_MS_charData.csv
, CH10_MS_charResults.csv
Three files provide the raw input data, the parameters used, and the output data for peak analysis of magnetic susceptibility (MS) data, using the program CharAnalysis (see Materials and Methods in main text, and web site https://sites.google.com/site/charanalysis/). The column headers for all files are the same as for charcoal analysis (CH10_char* files), but NOTE that the units for MS have been manipulated to be able to be used in CharAnalysis (see 7-9 below).
5.1 CH10_MC_charData.csv
Includes the following raw data (by column):
- cmTop: top depth (cm) of the sample
- cmBot: bottom depth (cm) of the sample
- ageTop: estimated age at top of sample (cal. yr before CE 1950)
- ageBot: estimated age at bottom of sample (cal. yr before CE 1950)
- dummyVar: dummy variable set to 1, to facilitate use in CharAnalysis program
- MS_shifted_trans: Shifted MS data (from col. 8), transformed by dividing by the sediment accumulation rate (cm/yr). Thus, when these transformed values are multiplied by the sediment accumulation rate (cm/yr), as done in CharAnalysis, the result is the transformed MS values (column 8).
- MS_raw_SI: Raw magnetic susceptibility measurements (SI units)
- MS_shifted: Raw MS values, shifted by adding the minimum values in MS_raw_SI to each value, such that the minimum value becomes 0. CharAnalysis cannot work with negative data.
Missing values: None
Checksum values:
- 1477 rows (with headers), 8 columns
- Column 3 (ageTop): 3970165
- Column 6 (setRate/MS): 0.3626761
6. Chickaree Lake Chronology Data
Files: CH10_210Pb_data.xls
, CH10_ageDepthData.xls
, CH10_ageDepthData.csv
, CH10_radiometricSamples.csv
, CH10_14Cdates.zip
These files provide the chronology data presented in Table S1 (CH10_radiometricSamples.csv), the age-depth data presented in Figure 2 (CH10_ageDepthData.csv), and the input files used in the MATLAB functions CRSModel and MCAgeDepth (*.xls), publically available at http://code.google.com/p/crsmodel/ and http://code.google.com/p/mcagedepth/, as used in Higuera et al. (2009, Ecological Monographs, 79: 201-219). See the user manuals for each program at these web sites for details on the two .xls files. The .zip archive includes the .B00` files output from CALIB (see Materials and Methods in main text) and needed to run MCAgeDepth. The age-depth data output from MCAgeDepth is described below.
6.1 CH10_ageDepthData.csv
Includes the following raw data (by column): 1. Top depth of sample (cm) 2. Calibrated age at sample top (cal yr BP) 3. Upper 95% confidence intervals for data in column two 4. Lower 95% confidence intervals for data in column two 5. Sedimentation rate (cm/yr) 6. Upper 95% confidence intervals for data in column five 7. Lower 95% confidence intervals for data in column five 8. Sample resolution (yr/sample) 9. Upper 95% confidence intervals for data in column eight 10. Lower 95% confidence intervals for data in column eight
Missing values: None
Checksum values:
- 1596 rows (with headers), 10 columns
- Column 1 (sampleCm): 642150.9
- Column 2 (calAge): 4679522
- Column 5 (sedAcc): 211.236
- Column 8 (sampleRes): 6860.85
7. Chickaree Lake Pollen Data
Files: CH10_PollenCounts.xls
, CH10_pollenPercentages.csv
Raw pollen data needed to use in the function pollenDiagram_ROMO.m, to create Fig. S2 (.xls), and pollen percentages (.csv).
7.1 CH10_PollenCounts.xls
Includes the following raw data (by column): 1. Sample_ID : Identification of sample, by lake (CH), year (07 or 10), core (1 or 2), and drive (A, B,C,...). 2. Sample_number: Sample number for each drive 3. Top_cm: Top depth of each sample (cm) 4. age_yrBP: Age of each sample, in calibrated years before present (CE 1950) 5. Pinus hap: Haploxilon Pinus pollen grains counted 6. Pinud dip: Diploxilon Pinus pollen grains counted 7. Pinus undiff: Undifferentiated Pinus pollen grains counted 8. Picea: Picea pollen grains counted 9...112: Column heads are the taxonomic identification for each pollen grain counted 111. Charcoal: NOT COUNTED 112. EU: Exotic pollen grains, added as spike.
Missing values: NaN.
Checksum values:
- 46 rows (with headers), 113 columns
- Column 2 (sample_number): 6143
- Column 4 (age_yrBP): 86683
- Column 10 (Pseudotsuga/Larix): 42
- Column 113 (EU): 8793
7.2 CH10_pollenpercentages.csv
Includes the following raw data (by column):
- Sample_ID : Identification of sample, by lake (CH), year (07 or 10), core (1 or 2), and drive (A, B, C,...).
- Sample_number: Sample number for each drive
- Top_cm: Top depth of each sample (cm)
- age_yrBP: Age of each sample, in calibrated years before present (CE 1950)
- Pinus hap: Haploxilon Pinus pollen grains counted
- Pinud dip: Diploxilon Pinus pollen grains counted
- Pinus undiff: Undifferentiated Pinus pollen grains counted
- Picea: Picea pollen grains counted 9...107: Columns heads are the taxonomic identification for each pollen grain counted
Missing values: None.
Checksum values:
- 46 rows (with headers), 106 columns
- Column 2 (sample_number): 6143
- Column 4 (age_yrBP): 86683
- Column 10 (Pseudotsuga/Larix): 12
- Column 102 (Nuphar): 13.19
8. MATLAB code to generate figures in Dunnette et al. 2014
Files: All are MATLAB files; figure scripts inclues "_scripts" while all other files are functions called upon by the scripts. To run the script files, the function files must be in the working directory. See individual files for readme information, including dependencies.
- auto.m
- corr_p_adj_N.m
- Fig_3_script.m
- Fig_4_5_script.m
- Fig_6_S4_script.m
- Fig_S1_script.m
- Fig_S2_script.m
- pollenDiagram_ROMO.m
- SEA.m
- SEA_CI.m
9. Figure files from Dunnette et al. 2014
Figures come in two formats .tif and .fig. The latter is the MATLAB figure file format. NOTE: There is no .fig file for figure 1.
Files:
- Fig_1.jpg
- Fig_2.jpg
- Fig_3.jpg
- Fig_4.jpg
- Fig_5.jpg
- Fig_6.jpg
- Fig_S1.jpg
- Fig_S2.jpg
- Fig_S3.jpg
- Fig_S4.jpg
- Fig_2_800_dpi.fig
- Fig_3_800_dpi.fig
- Fig_4_800_dpi.fig
- Fig_5_800_dpi.fig
- Fig_6_800_dpi.fig
- Fig_S1.fig
- Fig_S2.fig
- Fig_S3.fig
- Fig_S4.fig


| fkUtilities reference pages |
x=PADVECTOR(x,npoints) x=PADVECTOR(x,npoints,value) x=PADVECTOR(x,npoints,'replicate') x=PADVECTOR(x,npoints,'symmetric') x=PADVECTOR(x,npoints,'circular')
x=PADVECTOR(x,npoints) pads a vector with zeros. If npoints is a scalr it specifies the number of zeros to be padded at either end of x. If npoints is a two-element vector, it specifies the number of zeros to add to the start and end of x respectively.
x=PADVECTOR(x,npoints,value) pads with value instead of zeros.
x=PADVECTOR(x,npoints,'replicate') repeats border elements of x.
x=PADVECTOR(x,npoints,'symmetric') pads vector with mirror reflections of itself.
x=PADVECTOR(x,npoints,'circular') pads with circular repetition of elements.
| randomize | Toolbox page | uiloaddir |


| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
REQUEST_ID_FIELD_NUMBER |
2 |
public static final int |
REQUEST_LABEL_FIELD_NUMBER |
3 |
public static final int |
SESSION_ID_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
JAVA_VALUE |
0 |
public static final int |
JBOSS_MARSHALLING_VALUE |
2 |
public static final int |
KRYO_VALUE |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
LEAST_SIGNIFICANT_BITS_FIELD_NUMBER |
1 |
public static final int |
MOST_SIGNIFICANT_BITS_FIELD_NUMBER |
2 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
MESSAGE_BYTES_FIELD_NUMBER |
2 |
public static final int |
MESSAGE_TYPE_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
EXECUTION_REQUEST_VALUE |
1 |
public static final int |
EXECUTION_RESPONSE_VALUE |
2 |
public static final int |
PING_VALUE |
5 |
public static final int |
PONG_VALUE |
6 |
public static final int |
RESOURCE_REQUEST_VALUE |
3 |
public static final int |
RESOURCE_RESPONSE_VALUE |
4 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
EXECUTION_MODE_FIELD_NUMBER |
3 |
public static final int |
REQUEST_IDENTIFIER_FIELD_NUMBER |
4 |
public static final int |
SERIALIZATION_FORMAT_FIELD_NUMBER |
2 |
public static final int |
SERIALIZED_EXECUTABLE_OBJECT_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
FIRE_AND_FORGET_VALUE |
1 |
public static final int |
RETURN_RESPONSE_VALUE |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
EXECUTION_OUTCOME_FIELD_NUMBER |
1 |
public static final int |
REQUEST_IDENTIFIER_FIELD_NUMBER |
4 |
public static final int |
SERIALIZATION_FORMAT_FIELD_NUMBER |
3 |
public static final int |
SERIALIZED_RETURN_OBJECT_FIELD_NUMBER |
2 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
FAILURE_VALUE |
2 |
public static final int |
VALUE_RETURNED_VALUE |
1 |
public static final int |
VOID_RETURNED_VALUE |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
MESSAGE_FIELD_NUMBER |
2 |
public static final int |
REQUEST_ID_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
MESSAGE_FIELD_NUMBER |
2 |
public static final int |
REQUEST_ID_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
REQUEST_IDENTIFIER_FIELD_NUMBER |
2 |
public static final int |
RESOURCE_NAME_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
RESOURCE_DATA_FIELD_NUMBER |
2 |
public static final int |
RESOURCE_NAME_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
REQUEST_IDENTIFIER_FIELD_NUMBER |
4 |
public static final int |
RESOURCE_DATA_FIELD_NUMBER |
1 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
DEFAULT_PORT |
5739 |
Copyright © 2012. All Rights Reserved.


Zydus Cadila receives USFDA warning letter for its Moraiya facility
The company remains committed to patient safety and meeting the expectations of regulatory compliances, the Gujarat-based firm said.
by Press Trust of IndiaDrug firm Zydus Cadila on Monday said it has received a warning letter from the US health regulator for its Moraiya-based formulation facility.
The company said it has already taken multiple steps after the inspection of the facility by the US Food and Drug Administration (USFDA) and would continue to take all necessary steps in future as well to ensure that the health regulator is fully satisfied with its remediation of the above facility.
"We are confident of responding to the USFDA to address the observations within the statutory time permitted in the letter," Zydus Cadila said in a regulatory filing.
The warning letter does not affect the existing business of the company in the US and the existing product supplies from the Moraiya facility will continue, it added.
The company remains committed to patient safety and meeting the expectations of regulatory compliances, the Gujarat-based firm said.
Shares of Cadila Healthcare, the listed entity of the company, on Monday closed nearly 5.6 per cent down on the BSE.


@()(implicit request: play.api.mvc.RequestHeader) @main("Semantic Elements") {
This page shows a list of all new HTML 5 semantic elements for future reference.

section
element represents a generic document or application section. A section, in this context, is a thematic grouping of content, typically with a heading. Examples of sections would be chapters, the tabbed pages in a tabbed dialog box, or the numbered sections of a thesis. A Web site's home page could be split into sections for an introduction, news items, contact information.

nav
element represents a section of a page that links to other pages or to parts within the page: a section with navigation links. Not all groups of links on a page need to be in a nav
element — only sections that consist of major navigation blocks are appropriate for the nav
element. In particular, it is common for footers to have a short list of links to common pages of a site, such as the terms of service, the home page, and a copyright page. The footer
element alone is sufficient for such cases, without a nav
element.

article
element represents a component of a page that consists of a self-contained composition in a document, page, application, or site and that is intended to be independently distributable or reusable, e.g. in syndication. This could be a forum post, a magazine or newspaper article, a Web log entry, a user-submitted comment, an interactive widget or gadget, or any other independent item of content.

aside
element represents a section of a page that consists of content that is tangentially related to the content around the aside
element, and which could be considered separate from that content. Such sections are often represented as sidebars in printed typography. The element can be used for typographical effects like pull quotes or sidebars, for advertising, for groups of nav
elements, and for other content that is considered separate from the main content of the page.
<hgroup>
hgroup
element represents the heading of a section. The element is used to group a set of h1
–h6
elements when the heading has multiple levels, such as subheadings, alternative titles, or taglines.

header
element represents a group of introductory or navigational aids. A header
element is intended to usually contain the section’s heading (an h1
–h6
element or an hgroup
element), but this is not required. The header
element can also be used to wrap a section’s table of contents, a search form, or any relevant logos.

footer
element represents a footer for its nearest ancestor sectioning content or sectioning root element. A footer typically contains information about its section such as who wrote it, links to related documents, copyright data, and the like. Footers don’t necessarily have to appear at the end of a section, though they usually do. When the footer
element contains entire sections, they represent appendices, indexes, long colophons, verbose license agreements, and other such content.
<time>
time
element represents either a time on a 24 hour clock, or a precise date in the proleptic Gregorian calendar, optionally with a time and a time-zone offset.

mark
element represents a run of text in one document marked or highlighted for reference purposes.


GBP/USD Technical Analysis: Cable firming after challenging the 1.2910 level
by Flavio Tosti- GBP/USD is trading at its lowest since the week started.
- The level to beat for bears is the 1.2910 support.
GBP/USD daily chart
The pound is currently correcting last month’s rally in the 1.2800-1.3000 price zone. GBP/USD, in October, hit levels not seen since mid-May 2019. However, on a weekly basis, it has bounced back.
GBP/USD four-hour chart
GBP/USD is easing from the monthly highs while nearing the 1.2910 support level. A break below it could lead to further losses towards the 1.2890 and 1.2870 levels, according to the Technical Confluences Indicator.
GBP/USD 30-minute chart
The spot is trading at daily lows below its main SMAs, suggesting a bearish bias in the near term. Resistances are seen at the 1.2940, 1.2957 and 1.2985 price levels.
Additional key levels
GBP/USD
| Overview | |
|---|---|
| Today last price | 1.2912 |
| Today Daily Change | -0.0037 |
| Today Daily Change % | -0.29 |
| Today daily open | 1.2949 |
| Trends | |
|---|---|
| Daily SMA20 | 1.2874 |
| Daily SMA50 | 1.2634 |
| Daily SMA100 | 1.2464 |
| Daily SMA200 | 1.2703 |
| Levels | |
|---|---|
| Previous Daily High | 1.2986 |
| Previous Daily Low | 1.2908 |
| Previous Weekly High | 1.2918 |
| Previous Weekly Low | 1.2785 |
| Previous Monthly High | 1.3013 |
| Previous Monthly Low | 1.2194 |
| Daily Fibonacci 38.2% | 1.2956 |
| Daily Fibonacci 61.8% | 1.2938 |
| Daily Pivot Point S1 | 1.2909 |
| Daily Pivot Point S2 | 1.2869 |
| Daily Pivot Point S3 | 1.283 |
| Daily Pivot Point R1 | 1.2988 |
| Daily Pivot Point R2 | 1.3026 |
| Daily Pivot Point R3 | 1.3066 |


--- title: Funding for Financial Inclusion Projects author: Soethiha Soe date: '2018-06-10' ---
The International Financial Inclusion Funding Dataset contains records of major international funding for microfinance and financial inclusion projects. The data was collected through surveys conducted by the Consultative Group to Assist the Poor (CGAP).
In this data visualization exercise, we plot the trends in funding across geographies between the years 2011 to 2016. The graphs and commentaries are embedded in the Xaringan slide below.
knitr::include_url("../../slides/final_slides.html#1")


function processRequest() {
if (request.readyState == 4) {
if(request.status == 200) {
processResponse(request);
} else {
alert("Error loading page " +
request.status + ":" +
request.statusText);
}
}
}
You can use the readyState property to check if the request has been completed, and status to check if it completed successfully.


Wallet
Pamela, you are required to choose a 4 digit pin
to secure your funds in your wallet
Enter 4-digit pin


{{user.display_name}} bought you {{amount | absolute}} coffee{{amount | pluralizer}}
You bought {{user.display_name}} {{ amount | absolute }} coffee{{amount | pluralizer}}
You and {{user.display_name}} are even stevens.


The Paris Climate Accords provided a mechanism for countries to set individual commitments to reducing emissions. These commitments are reviewed every 5 years, with the overall goal of limiting temperature rise to another \(1.5^\circ C\text{.}\) The agreement also seeks to provide funding to developing nations to help them reduce their emissions [<IP_ADDRESS>]. This agreement seeks to strike a balance between the responsibility of nations who have already contributed to current greenhouse gas levels, and those nations which are contributing now.
in-context


Parameters
TFake
fake
Specifies the fake instance.
Expression<Action<TFake>>
func
Specifies the behavior that was not supposed to happen.
Type FakeApi
Namespace Machine.Fakes
TFake
fakeSpecifies the fake instance.
Expression<Action<TFake>>
funcSpecifies the behavior that was not supposed to happen.
TFake
fakeSpecifies the fake instance.
Expression<Action<TFake>>
funcSpecifies the behavior that was supposed to happen.
IMethodCallOccurance
A IMethodCallOccurance which can be used to narrow down the expectations to a particular amount of times.
This method is used for command, e.g. methods returning void.
TFake
fakeThe fake to configure behavior on.
Expression<Action<TFake>>
funcConfigures the behavior. This must be a void method.
TFake
fakeThe fake to configure behavior on.
Expression<Func<TFake, TReturnValue>>
funcConfigures the behavior. This must be a void method.


  Oh Jeez (Recenter Phase)
...Oh jeez
keep breathing slowly and relax
take whatever time you need
4. Oh Well (Refocus Phase)
...Oh well
Start to think of what you can do
minimize damage, and make the best of it
...Ok
Do what you need to do
Rewire how you listen
Most of the time we hear but don't listen
We all make assumptions
And sometimes they are wrong
Think about what you're thinking
So when you're wrong you'll be able to identify it
Make the other person feel "felt"
Sample steps to making someone feel "felt"
- Attach an emotion to the other person
- Say "I'm trying to get a sense of what you're feeling and I think it's ____, is that right? if not then what are you feeling"
- How ___ are you?

- Tell me what needs to happen for it to be better?
- What part can I play in making that happen?
When someone feels "felt" you'll have transformed yourself from a stranger or enemy into a friend or ally
Be interested not interesting
Imagine meeting people for the first time
So you try to impress them by listing off how cool you are
Being too interesting comes off as being a jackass
Best way to win friends or influence people is to be more interested in listening than impressing
The best questions cause them to say things like...
"i feel x, i think y, i did or would do z"
Sample Questions
- How'd you get into ___?
- What do you like best about ___?
- What are you trying to accomplish that's important to you in your ___?
- Why is that important to you?
- Whats the best (or worst) part of ___?
Make people feel valuable
people need to feel valuable
Obvious right?

We need to help them exhale
Don't counterattack or defend yourself
Give plenty of time for them to express themselves
Don't take issue with anything, become defensive or get into a debate
After he/she vents don't say anything (rookie mistake) except "tell me more"
When all seems lost bare your neck
Show your vulnerabilities as opposed to hide them
People can't mirror your distress and understand it
Instead their mirror your attitude you're using to hide your distress, if you are using anger to hide it, you'll get anger in return
If you are honest and show your vulnerabilities you'll get empathy instead
Empathy Jolt (Reverse play)
Useful for when someone is being evasive or underperforming or always coming up with excuses
- Think of a couple ways in which the other person may be disappointed with you
- When you meet with them, instead of criticizing or confronting them, list you reasons why they might be disappointed with you
- End by asking if it's true, if not what are the things that most frustrate you about me?
- After they reply, apologize
Why this works
When you apologize yourself, instantly shift them out of defensive mode and cause them to mirror your humility and concern
Sleight of mind
When you act as if your goal is the exact opposite of what you're trying to accomplish...thats the paradox
I bet you feel that nobody know what it's like to be ___, and I bet that you're __- because you think we're all feeling let down by you (or w/e)
Because you're empahtizing with their emotions you eliminate their mirror neuron deficit and cause them to feel understoood and connected to you
When someone goes full reptile
Sometimes the most move is to go full reptile too
Sample
- "Tell me what happened"
- "I need to make sure that I heard exactly what you said, so I don't go off in the wrong direction. If I heard you right what you said is..."
- Wait for them to say yes
- "And that makes you feel ___ or what exactly?"
- "And the reason it's so important to fix this or make this better now is ___"
- Illuminate the path out


Assertion¶
#include <hpx/assertion.hpp>¶
Defines
-
HPX_ASSERT
(expr)¶ This macro asserts that expr evaluates to true.
If expr evaluates to false, The source location and msg is being printed along with the expression and additional. Afterwards the program is being aborted. The assertion handler can be costumized by calling hpx::assertion::set_assertion_handler().
- Parameters
expr
: The expression to assert on. This can either be an expression that’s convertible to bool or a callable which returns boolmsg
: The optional message that is used to give further information if the assert fails. This should be convertible to a std::string
Asserts are enabled if HPX_DEBUG is set. This is the default for
CMAKE_BUILD_TYPE=Debug
-
HPX_ASSERT_MSG
(expr, msg)¶ - See
HPX_ASSERT
-
namespace
hpx
-
namespace
assertion
¶ Typedefs
-
using
hpx::assertion::assertion_handler = typedef void (*)( source_location const& loc, const char* expr, std::string const& msg)
The signature for an assertion handler.
Functions
-
void
set_assertion_handler
(assertion_handler handler)¶ Set the assertion handler to be used within a program. If the handler has been set already once, the call to this function will be ignored.
- Note
This function is not thread safe
-
using
-
namespace
#include <hpx/assertion/evaluate_assert.hpp>¶
#include <hpx/assertion/force_linking.hpp>¶
-
namespace
hpx
-
namespace
assertion
Functions
-
force_linking_helper &
force_linking
()¶
-
struct
force_linking_helper
¶ Public Members
-
void (*
handle_assert
)(source_location const&, const char *, std::string const&)¶
-
void (*
-
force_linking_helper &
-
namespace
#include <hpx/assertion/source_location.hpp>¶
-
namespace
hpx
-
namespace
assertion
Functions
-
std::ostream &
operator<<
(std::ostream &os, source_location const &loc)¶
-
struct
source_location
¶ - #include <source_location.hpp>
This contains the location information where HPX_ASSERT has been called
-
std::ostream &
-
namespace


My interests lie between the intersection of artificial intelligence and biological intelligence. I am graduating from the University of Michigan in Winter 2020, with a B.S. in Computer Science and additional coursework in neuroscience and cognitive science. I have experience both in industry and academia research and love getting involved with research in any capacity. For 2021, I will be in Tokyo as a research assistant at the the University of Tokyo - International Research Center for Neurointelligence (IRCN), with the intention of attending a PhD program in Computer Science or Computational Neuroscience the following year.
Learn more about me by checking out the info below! And/or click here to view my CV (last updated 10/22/20).
This is my current research undertaking! As part of the lab, I am using different machine learning approaches to elucidate the information lying within cellular imaging data. My current project involves applying semantic image segmentation and object tracking to fluorescence microscope images of cancer cells, specifically using deep convolutional neural networks (Unet architecture).
Projects included parallelizing the operation of the company's machine learning pipeline, test suite for cross validation performance analysis of the ML's accuracy, and networking app using Unity and .NET Framework to allow for interoperability of the company library with new devices such as Microsoft HoloLens and Android phones.
Projects included behavior prediction program using transfer learning on a deep neural network within MATLAB and an object tracking program for location data and analysis, both used in neurobiology studies.


Node label is a way to group nodes with similar characteristics and applications can specify where to run.
Now we only support node partition, which is:
User can specify set of node labels which can be accessed by each queue, one application can only use subset of node labels that can be accessed by the queue which contains the application.
The Node Labels supports the following features for now:
Setup following properties in yarn-site.xml
| Property | Value |
|---|---|
| yarn.node-labels.fs-store.root-dir | hdfs://namenode:port/path/to/store/node-labels/ |
| yarn.node-labels.enabled | true |
| yarn.node-labels.configuration-type | Set configuration type for node labels. Administrators can specify “centralized”, “delegated-centralized” or “distributed”. Default value is “centralized”. |
Notes:
Configuring nodes to labels mapping in Centralized NodeLabel setup
Configuring nodes to labels mapping in Distributed NodeLabel setup
| Property | Value |
|---|---|
| yarn.node-labels.configuration-type | Needs to be set as “distributed” in RM, to fetch node to labels mapping from a configured Node Labels Provider in NM. |
| yarn.nodemanager.node-labels.provider | When “yarn.node-labels.configuration-type” is configured with “distributed” in RM, Administrators can configure the provider for the node labels by configuring this parameter in NM. Administrators can configure “config”, “script” or the class name of the provider. Configured class needs to extend org.apache.hadoop.yarn.server.nodemanager.nodelabels.NodeLabelsProvider. If “config” is configured, then “ConfigurationNodeLabelsProvider” and if “script” is configured, then “ScriptNodeLabelsProvider” will be used. |
| yarn.nodemanager.node-labels.resync-interval-ms | Interval at which NM syncs its node labels with RM. NM will send its loaded labels every x intervals configured, along with heartbeat to RM. This resync is required even when the labels are not modified because admin might have removed the cluster label which was provided by NM. Default is 2 mins. |
| yarn.nodemanager.node-labels.provider.fetch-interval-ms | When “yarn.nodemanager.node-labels.provider” is configured with “config”, “script” or the configured class extends AbstractNodeLabelsProvider, then periodically node labels are retrieved from the node labels provider. This configuration is to define the interval period. If -1 is configured, then node labels are retrieved from provider only during initialization. Defaults to 10 mins. |
| yarn.nodemanager.node-labels.provider.fetch-timeout-ms | When “yarn.nodemanager.node-labels.provider” is configured with “script”, then this configuration provides the timeout period after which it will interrupt the script which queries the node labels. Defaults to 20 mins. |
| yarn.nodemanager.node-labels.provider.script.path | The node label script to run. Script output Line starting with “NODE_PARTITION:” will be considered as node label Partition. In case multiple lines of script output have this pattern, then the last one will be considered. |
| yarn.nodemanager.node-labels.provider.script.opts | The arguments to pass to the node label script. |
| yarn.nodemanager.node-labels.provider.configured-node-partition | When “yarn.nodemanager.node-labels.provider” is configured with “config”, then ConfigurationNodeLabelsProvider fetches the partition label from this parameter. |
| Property | Value |
|---|---|
| yarn.node-labels.configuration-type | Needs to be set as “delegated-centralized” to fetch node to labels mapping from a configured Node Labels Provider in RM. |
| yarn.resourcemanager.node-labels.provider | When “yarn.node-labels.configuration-type” is configured with “delegated-centralized”, then administrators should configure the class for fetching node labels by ResourceManager. Configured class needs to extend org.apache.hadoop.yarn.server.resourcemanager.nodelabels.RMNodeLabelsMappingProvider. |
| yarn.resourcemanager.node-labels.provider.fetch-interval-ms | When “yarn.node-labels.configuration-type” is configured with “delegated-centralized”, then periodically node labels are retrieved from the node labels provider. This configuration is to define the interval. If -1 is configured, then node labels are retrieved from provider only once for each node after it registers. Defaults to 30 mins. |
| Property | Value |
|---|---|
| yarn.scheduler.capacity.<queue-path>.capacity | Set the percentage of the queue can access to nodes belong to DEFAULT partition. The sum of DEFAULT capacities for direct children under each parent, must be equal to 100. |
| yarn.scheduler.capacity.<queue-path>.accessible-node-labels | Admin need specify labels can be accessible by each queue, split by comma, like “hbase,storm” means queue can access label hbase and storm. All queues can access to nodes without label, user don’t have to specify that. If user don’t specify this field, it will inherit from its parent. If user want to explicitly specify a queue can only access nodes without labels, just put a space as the value. |
| yarn.scheduler.capacity.<queue-path>.accessible-node-labels.<label>.capacity | Set the percentage of the queue can access to nodes belong to <label> partition . The sum of <label> capacities for direct children under each parent, must be equal to 100. By default, it’s 0. |
| yarn.scheduler.capacity.<queue-path>.accessible-node-labels.<label>.maximum-capacity | Similar to yarn.scheduler.capacity.<queue-path>.maximum-capacity, it is for maximum-capacity for labels of each queue. By default, it’s 100. |
| yarn.scheduler.capacity.<queue-path>.default-node-label-expression | Value like “hbase”, which means: if applications submitted to the queue without specifying node label in their resource requests, it will use “hbase” as default-node-label-expression. By default, this is empty, so application will get containers from nodes without label. |
An example of node label configuration:
Assume we have a queue structure
root / | \ engineer sales marketing
We have 5 nodes (hostname=h1..h5) in the cluster, each of them has 24G memory, 24 vcores. 1 among the 5 nodes has GPU (assume it’s h5). So admin added GPU label to h5.
Assume user have a Capacity Scheduler configuration like: (key=value is used here for readability)
yarn.scheduler.capacity.root.queues=engineering,marketing,sales yarn.scheduler.capacity.root.engineering.capacity=33 yarn.scheduler.capacity.root.marketing.capacity=34 yarn.scheduler.capacity.root.sales.capacity=33 yarn.scheduler.capacity.root.engineering.accessible-node-labels=GPU yarn.scheduler.capacity.root.marketing.accessible-node-labels=GPU yarn.scheduler.capacity.root.engineering.accessible-node-labels.GPU.capacity=50 yarn.scheduler.capacity.root.marketing.accessible-node-labels.GPU.capacity=50 yarn.scheduler.capacity.root.engineering.default-node-label-expression=GPU
You can see root.engineering/marketing/sales.capacity=33, so each of them can has guaranteed resource equals to 1/3 of resource without partition. So each of them can use 1/3 resource of h1..h4, which is 24 * 4 * (1/3) = (32G mem, 32 v-cores).
And only engineering/marketing queue has permission to access GPU partition (see root.<queue-name>.accessible-node-labels).
Each of engineering/marketing queue has guaranteed resource equals to 1/2 of resource with partition=GPU. So each of them can use 1/2 resource of h5, which is 24 * 0.5 = (12G mem, 12 v-cores).
Notes:
Applications can use following Java APIs to specify node label to request
Following label-related fields can be seen on web UI:


Form elements include a label, optional prefix and suffix elements and will automatically render a message field after the input when there are validation errors or other messages for the input element.
You can add grid size hints to the wrapper by setting one or more of the small
,
medium
and large
attributes to a value between 1 and 12.
To add inline labels, use the prefix
or
suffix
attributes, or simply add your own markup before or after the input field.
Buttons can also be rendered inline as shown above. Please refer to the Foundation For Apps Forms documentation for further options.
To fully understand the markup for form elements, please consult the Foundation for Apps Documentation.


Order Number
Order Type
Maintenance Planning Plant
Scenario or Subscreen Category
Business Area
Main work center for maintenance tasks
Plant associated with main work center
Maintenance activity type
Planner Group for Customer Service and Plant Maintenance
Syst.Condition
Functional Location
Equipment Number
Serial Number
Material Number
Assembly
Additional Device Data
Maintenance plant
Asset location
Room
Plant section
Work center
ABC indicator for technical object
Sort field
Profit Center
Responsible cost center
Functional Area
Number of superior network
Activity number in network and standard network
Work Breakdown Structure Element (WBS Element)
Processing group
Tax Jurisdiction
Company Code
Main Asset Number
Asset Subnumber
Business Area
Cost Center
Work Breakdown Structure Element (WBS Element)
Standing order number
Settlement order
Sales Organization
Distribution Channel
Division
Maintenance order planning indicator
Basic start date
Basic finish date
Basic Start (Time)
Basic finish (time)
Priority
Revision for Plant Maintenance and Customer Service
Version of Available Capacity
Scheduling type
Indicator: Schedule automatically/fast-checkbox>
Indicator: Calculate capacity requirements/fast-checkbox>
Indicator: Scheduling allowing for breaks/fast-checkbox>
Reservation Relevance/Generation of Purchase Requisition
Sales Order Number
Item number in Sales Order
Accounting Indicator
Investment measure profile
Scale of investment objects
Reason for investment
Reason for environmental investment
Estimated total costs of order
Order Currency
ISO currency code
Costing Sheet
Overhead key
Results Analysis Key
Description
Long Material Number for Field ASSEMBLY
External GUID for ASSEMBLY Field
Version Number for ASSEMBLY Field
Long Material Number for MATERIAL Field
External GUID for MATERIAL Field
Version Number for MATERIAL Field
Notification No
PM Order: Reference Date
Time of Reference Date
Factory Calendar
Calendar Selection for Order
Number of Superior Order
Notification Type
Start Point
End Point
Length
Unit of Measurement for Linear Data
Unit of Measurement for Linear Data in ISO Code
Type of First Offset
Value of Offset 1
Unit of Measurement for Offset 1
Unit of Measurement for Offset 1 in ISO Code
Type of Second Offset
Value of Offset 2
Unit of Measurement for Offset 2
Unit of Measurement for Offset 2 in ISO Code
Marker for Start Point
Distance between Marker and Start Point
Marker for End Point
Length Spec for Distance between Marker and End Point
Unit for the Distance from Marker
Unit for the Distance from Marker in ISO Code
Reference order number
Material Number (40 Characters, needed f. technical reasons)
Assembly
Order Number
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Text (length 132)
Number of reservation/dependent requirements
Item Number of Reservation / Dependent Requirements
Record type
Goods movement for reservation allowed/fast-checkbox>
Final issue for this reservation/fast-checkbox>
Material Number
Plant
Storage location
Batch Number
Quantity is fixed/fast-checkbox>
Currency Key
ISO currency code
Sales Order Number
Item number in Sales Order
G/L Account Number
Required quantity
Item category (bill of material)
BOM item number
BOM Item Text (Line 1)
Indicator for Relevancy to Costing
Usage probability in % (alternative item)
Sort String
Indicator: bulk material/fast-checkbox>
Material Provision Indicator
WBS Element
Activity Number
Price in component currency
Price unit
Indicator: Backflush/fast-checkbox>
Purchasing group
Delivery time in days
Goods recipient
Unloading Point
Material Group
Goods receipt processing time in days
Account Number of Vendor or Creditor
Number of purchasing info record
Lead-time offset for operation
Unit for lead-time offset for operation
ISO code for unit of measurement
Name of requisitioner/requester
Requirement Tracking Number
Purchasing organization
Material description
Requirement Quantity of Component
Base Unit of Measure
ISO code for unit of measurement
Number of principal purchase agreement
Item number of principal purchase agreement
Type of relationship
Unit for the time interval between relationships
ISO code for unit of measurement
Time Interval Between Relationships
Reservation Relevance/Generation of Purchase Requisition
Direct procurement indicator for dialog display
Special stock indicator for dialog display
Size 1
Unit of measure for sizes 1 to 3
ISO code for unit of measurement
Formula key
Size 2
Number of variable-size items
Size 3
Quantity of variable-size item
Unit of measure for variable-size component
ISO code for unit of measurement
Long Material Number for MATERIAL Field
External GUID for MATERIAL Field
Version Number for MATERIAL Field
Requirements date for the component
Time that reservation quantity required
Manual Maintenance of Requirement Date/fast-checkbox>
Material Number (40 Characters, needed f. technical reasons)
Text for Note
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Activity Number
Suboperation
Control key
Work center
Plant
Standard text key
Operation short text
Language Key
2-Character SAP Language Code
Number of Time Tickets
Wage type
Suitability
Wage Group
Sort field
Account Number of Vendor or Creditor
Operation quantity in order unit of measure
Base Unit of Measure
ISO code for unit of measurement
Price
Price unit
Cost Element
Currency Key
ISO currency code
Number of purchasing info record
Purchasing organization
Purchasing Group for External Processing Activity
Material Group
Number of principal purchase agreement
Item number of principal purchase agreement
Name of requisitioner/requester
Requirement Tracking Number
Number of capacities required
Work percentage
Key for calculation
Activity Type
Syst.Condition
Assembly
Distr.cap.reqmts (plant maint.,process order, network)
Goods recipient
Unloading Point
Personnel number
Framework Order
Item of framework order
Planned delivery time in days
Normal duration of the activity
Normal duration/unit
ISO code for unit of measurement
Constraint on the basic start date for the activity
Constraint on the finish date of the activity
Work involved in the activity
Unit for work
ISO code for unit of measurement
Constraint for activity start (Basic)
Constraint for activity start time (Basic)
Constraint for finish of activity (Basic)
Basic finish time of the activity
Execution Factor
Reservation Relevance/Generation of Purchase Requisition
Key word ID for user-defined fields
User field with 20 characters
User field with 20 characters
User field with 10 characters
User field with 10 characters
User field for quantity (length 10.3)
User field: Unit for quantity fields
ISO code for unit of measurement
User field for quantity (length 10.3)
User field: Unit for quantity fields
ISO code for unit of measurement
User-defined field for values (length 10,3)
User field: Unit for value fields
ISO currency code
User-defined field for values (length 10,3)
User field: Unit for value fields
ISO currency code
User field for date
User field for date
User-defined field: Indicator for reports/fast-checkbox>
User-defined field: Indicator for reports/fast-checkbox>
Long Material Number for Field ASSEMBLY
External GUID for ASSEMBLY Field
Version Number for ASSEMBLY Field
Equipment Number
Functional Location Label
Indicator: External Processing Operation with Subcontracting
Start Point
End Point
Length
Unit of Measurement for Linear Data
Unit of Measurement for Linear Data in ISO Code
Type of First Offset
Value of Offset 1
Unit of Measurement for Offset 1
Unit of Measurement for Offset 1 in ISO Code
Type of Second Offset
Value of Offset 2
Unit of Measurement for Offset 2
Unit of Measurement for Offset 2 in ISO Code
Marker for Start Point
Distance between Marker and Start Point
Marker for End Point
Length Spec for Distance between Marker and End Point
Unit for the Distance from Marker
Unit for the Distance from Marker in ISO Code
Maintenance activity type
Business Area
Work breakdown structure element (WBS element)
Profit Center
Costing Sheet
Overhead key
Tax Jurisdiction
Object Class
Functional Area
Offset to sub-operation start
Unit for offset to start
ISO code for unit of measurement
Offset to sub-operation finish
Unit for offset to finish
ISO code for unit of measurement
Assembly
Text for Note
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StartWith Demo
Use the
StreamExt.startWith
function to prepand values to the start of a stream.
Start
publish events once per second Output :


|
Hephaestus
0.0.4
|
| ▼Nhp | |
| ▼Nvk | |
| C__hp_vk_is_in_extension_prop_list | This is an implementation detail and you should NEVER touch this |
| C__hp_vk_is_in_layer_prop_list | This is an implementation detail and you should NEVER touch this |
| Cbuffer_layout | Describes the expected layout of the data of a hp::vk::vertex_buffer |
| Cgeneric_buffer | Offers nice wrapper around functionality of vk::Buffer (See Vulkan documentation) |
| Cindex_buffer | Provide the metadata necessary to bind and draw an IBO |
| Cqueue_family_indices | This is an implementation detail and you should NEVER touch this |
| Cshader_program | An abstraction of graphics pipelines (aka vk::Pipeline objects). See hp::vk::window::new_shader_program |
| Cswap_chain_support | This is an implementation detail and you should NEVER touch this |
| Cubo_layout | |
| Cvertex_bind_info | |
| Cvertex_buffer | Provide metadata necessary to bind and draw a VBO |
| Cwindow | Describes a vulkan window. Is used as a base for all operations |
| Ccode_location | A struct containing filename, funciton name, and line number |
| Cprofile_result | Includes details of a profile result, such as start and end times |
| Cprofiler | Object for timing operations |
| Cprofiler_session | Profiler sessions represent files that reports are written to |


Special Report
Captive
Lives
Sept. 16, 2016
Some 10 million children in the U.S. have parents who have been incarcerated. These innocent youngsters, studies show, face long odds of success in life. But slowly, efforts to help them are growing.
This report grew out of a fellowship from John Jay College of Criminal Justice and the Solutions Journalism Network on strengthening reporting on solutions to violence in America. More reporting from this effort can be found at http://thecrimereport.org.
Reporter
Jill TuckerPhotographer / Videographer
Lea SuzukiGraphic Designer
Interactive Producer
Lucio Villa


| DevIL Documentation | Home | Previous | Next |
The ilConvertImage function converts an image from one format to another.
ILboolean ilConvertImage(
ILenum DestFormat,
ILenum DestType
);
ilConvertImage converts the current bound image from its format/type to DestFormat and DestType. Almost all conversions are allowable.
IL_ILLEGAL_OPERATION - There is currently no image bound. Use ilGenImages and ilBindImage before calling this function.
IL_INVALID_CONVERSION - DestFormat and/or DestType was an invalid identifier.
IL_OUT_OF_MEMORY - Could not allocate memory for the converted image data.
ilGenImages, ilBindImage, ilGetBoolean, ilGetBooleanv, ilGetInteger, ilGetIntegerv, ilConvertPal


Tools:
Recipe Creator
Item Editor
Block Editor
Local Item Editor (JSON)
Local Block Editor (JSON)
Textures
Models


to play
| key | function |
| awdx | move in (x,y). |
| AWDX | move in (z,w). |
to edit
| key | function |
| awdx | move cursor. |
| q/e | change charactor. |
| [enter] | put charactor. |
mouse left click | put charactor. |
|
Browser Support:
| WindowsXP | MacOSXLion | iPhone |
| Internet Explorer | OK(8.0)(*1) | - | - |
| Safari | OK( 5.1.2) | OK( 5.1.3 ) | OK(*2) |
| FireFox | OK(11.0 )(*4) | OK(11.0 ) | - |
| Chrome | OK(17 ) | OK(18.0 ) | - |
| Opera | OK(11.62 ) | OK(11.62 ) | OK(*3) |
(*1) very slow and excanvas.js is required for play with IE when you download.
(*2) editing level is not supported.
(*3) editing level is not supported and very slow...
(*4) mouse is not supported.
|


Marble is a Virtual Globe and World Atlas that you can use to learn more about Earth: You can pan and zoom around and you can look up places and roads. A mouse click on a place label will provide the respective Wikipedia article.
Of course it's also possible to measure distances between locations or watch the current cloud cover. Marble offers different thematic maps: A classroom-style topographic map, a satellite view, street map, earth at night and temperature and precipitation maps. All maps include a custom map key, so it can also be used as an educational tool for use in class-rooms. For educational purposes you can also change date and time and watch how the starry sky and the twilight zone on the map change.
In opposite to other virtual globes Marble also features multiple projections: Choose between a Flat Map ("Plate carré"), Mercator or the Globe.
The best of all: Marble is Free Software / Open Source Software and promotes the usage of free maps. And it's available for all major operating systems (Linux/Unix, MS Windows and Mac OS X).
|
|


Home
|
Welcome
|
Survey
|
Resources
Have you ever been bullied at school?
Never
Rarely
Sometimes
Often
Always
Does your family help you with problems you have at school?
Never
Rarely
Sometimes
Often
Always
Do you get the help you need from staff, teachers, or counselors at school?
Never
Rarely
Sometimes
Often
Always
Do your friends help and support you with problems you have?
Never
Rarely
Sometimes
Often
Always
Is there anything that has happened in the classroom, on the bus, at home or anywhere else that has been bothering you? Please share below.
Never
Rarely
Sometimes
Often
Always
Is there anything exciting or that has made you happy that you would like to share today?
Never
Rarely
Sometimes
Often
Always


{% import "goals/goal.html" as textarea with context %} {% import 'atoms/radio-button.html' as radio_button with context %} {% set labels = ['3 to 6 months', '6 to 9 months', '9 months to 1 year', '1 year or more'] %}
Getting to work on time is important for keeping your job. Having a plan and a backup option is a good idea in case you get into a bind. We'll help you figure out your best option for getting to work, how to budget for it, and what to do if you need a backup plan.
Meet Mya and Frankie. They’ll help you think about your plan.
Mya plans to bike to work
Mya decided to bike to work because there’s a bikeshare near her school. Bikeshares allow you to borrow a bike from different self-service bike stations around the city. Mya heads straight to work from class — some days she has time to walk, but usually she’s in a rush and biking is faster.
Mya’s long-term goal
Mya wants to buy an annual bikeshare membership since her youth employment program offers a special rate and it’d be a better deal than paying per ride. The $60 annual membership works out to a little over $1 per week (over 52 weeks in a year). In order to save money for this, Mya will walk to work two days a week for the next few months.
Frankie plans to take the bus
Frankie doesn’t live near public transportation, so he usually gets a ride to the closest bus stop. The bus ride is about 25 minutes long, so he leaves his house at 7:10 a.m. to allow enough time to get dropped off, ride the bus, and arrive at work before his 8 a.m. shift starts.
Frankie’s long-term goal
Frankie will take the bus five days a week, but over the next year, he will save up to buy a car so he doesn’t have to rely on friends and family for rides to the bus stop. While he's saving up for a car, he will buy a $50 monthly bus pass because it’s more cost-effective than paying $2 each way for a bus ticket.
Figuring out your long-term goal may help you figure out the best way to get to work now while you’re working towards your goal.


Local students working to solve world's water crisis. Imagine now being able to take a shower or wash your clothes. Imagine having to walk for miles, just to get water for yourself and your family.
Salim Makki, a freshman in the School of Business, is one of the students leading the charge at Wayne State. Makki was inspired to join the National Student Water Association (NSWA) by his older brother and WSU alumnus, Abess.
 In Honduras, many have to walk a long way just to find water that's clean and safe to use.
Five Arab American Wayne State University students spent their spring break in Honduras working on projects that bring relief to impoverished people, such as revitalizing current infrastructure and establishing an entirely new framework to improve the quality of life in rural areas.
Clean water is a precious resource and even more so in underdeveloped countries. A group of five Wayne State students and their organization used their own money and time to travel to Honduras over spring break so they could help improve the water system.
Fordson High School grads create National Water Association to help improve conditions in other countries.
While many college students used last month’s spring break to kick back and party hard, a quintet of Wayne State University undergraduates spent their time off digging trenches in a country where locals collect and use unfiltered water from creeks littered with garbage.
The National Student Water Association (NSWA) at Wayne Statue University is helping create awareness, and providing innovative solutions to the world’s water crisis.
Michiganders are surrounded by one of the world’s most precious natural resources — H2O. For nearly a billion people around the globe, however, access to clean, consumable water is limited or non-existent. A team of WSU students hopes to change that.
The supply of natural resources has always been a problem many societies have been trying to solve. According to Water.org, “Nearly one billion people lack access to safe water and 2.5 billion do not have improved sanitation. The health and economic impacts are staggering.”
Dearborn/Detroit - Five Fordson High graduates now attending Wayne State would like to give the world a drink.


The text displayed below is the skeleton of the XML file. The lines are absolutely necessary for a configuration to work properly. You must include the xml header (<?xml... ), the <phenote-configuration> tag, and the <log> tag.
You will enter your custom options where it says "enter your configuration options here ".
<?xml version="1.0" encoding="UTF-8"?>
<ns:phenote-configuration version="1.3.1" xmlns:ns="phenote/config/xml">
<ns:log config-file="conf/log4j-standalone.xml"/>
<!--Enter your configuration options here -->
</ns:phenote-configuration>


TechGig
Home
(current)
Home
Upload File
Search Result
Top Customer to get credit card approval
Select on any customer's bar to generate link for accessing customer's details and prediction of reason for leaving
[No canvas support]


Order Item Detail
Buyer Name
Buyer's Phone
Buyer's Email
Product
Price
Quantity
Total Price
Shipping Address
Billing Address
Status
ORDERED
SHIPPED
DELIVERED
RETURNED
CANCELED


Protean not only gives you the ability to move system icons in your status bar, it also let's you customize them.
Additional options for the Time in the status bar include showing the time in the status bar, custom time format, lowercase AM/PM, and spelling out the time.
Lowercase AM/PM
Spelling out time (requires 12 hour time format)
Using Protean's Custom Time Format, you're able to add a number of variables to the Time system icon. The table below includes a number of possible time formats.
| Preview | Date Format |
|---|---|
| Mon Apr 1 · 3:56 PM | E MMM d · h:mm a |
| Mon Apr 1st · 3:56 PM | E MMM d'st' · h:mm a |
| Monday Apr 1st · 3:56 PM | EEEE MMM d'st' · h:mm a |
| Monday April 1 · 15:56 PM | EEEE MMMM d · H:mm a |
| Monday April 1 · 3:56:17 PM | EEEE MMMM d · h:mm:s a |
| Apr 1st, 2013 · 3:56 PM EST | MMMM d'st', y · h:mm a z |
| Apr 1st, '13 · 3:56 PM | MMMM d'st', ''yy · h:mm a |
| 91st day of 2013 | D'st day of' y |
| Day 91 of 365 | 'Day' D 'of 365' |
| 14th week of the year | w'th week of the year' |
| Eastern Daylight Time | zzzz |
| Mon 4/1 · 3:56 | E M/d · h:mm |
If you'd prefer to make your own layout you can mix-and-match fields using the code below.
| Input | Output |
|---|---|
| a | AM or PM |
| d | day of the month |
| D | day of the year |
| w | week of the year |
| W | week of the month |
| h | hour (12-hour time) |
| H | hour (24-hour time) |
| m | minute |
| s | second |
| z | abbreviated time zone |
| zzzz | full time zone |
| FM | free memory |
| Input | Output |
|---|---|
| E | Mon |
| EE | Mon |
| EEE | Mon |
| EEEE | Monday |
| 'st' | date suffix |
| M | 4 |
| MM | 04 |
| MMM | Apr |
| MMMM | April |
| y | 2013 |
| yy | 13 |
| ''yy | '13 |
You can view the complete list of data format codes at this page.
This option will change the graphical cellular strength indicator into an RSSI indicator (useful if you're trying to avoid asking "Can you hear me now?". RSSI (received signal strength indication) is the standard metric used by the telecommunications industry to measure power in a received radio signal (measured in decibels, dB). The closer the number is to zero, the better your reception, so -80 is a stronger signal than -90.
The dB range for signal RSSI is -47 to -130 with -47 indicating the strongest signal.
Other options that allow you to further customize your carrier icon include Custom Carrier text and using the carrier as your time format.
This option will change the graphical wifi/data strength indicator into an RSSI indicator (useful if you're trying to avoid asking "Can you hear me now?". RSSI (received signal strength indication) is the standard metric used by the telecommunications industry to measure power in a received radio signal (measured in decibels, dB). The closer the number is to zero, the better your reception, so -80 is a stronger signal than -90.
The dB range for WiFi/Data RSSI is 0 to -100 with 0 indicating the strongest possible signal.
Protean gives you the ability to trigger an activator action by simply tapping one of the system icons. In our example we are going to assign the tweak BatteryPeek to the Battery system icon.
The first step is to select the Battery icon, which takes us to the screen below. Here we have the option to have tapping the system icon (the battery in our case) perform an activator action.
Selecting the "Activator Action" option will bring up the list of activator actions that you have installed. Once you have selected an action you only need to go back to the main System Icons page for your new Tap Action to take effect.
Protean also gives you the ability to theme certain system icons. Unfortunately, due to some icons having multiple states, not all system icons can be themed via Protean. Icons that can be themed will show have an "Icon" section below "Tap Action" where you can select a replacement icon.
In the event that a system icon cannot be themed you will see the below message instead of the "Icons" section.


Dear Sir, I am Amina Idris from the State of Kassala in the Eastern part of Sudan. I recently lost my husband who until his death was a serving officer with the SPLA here in Sudan. He died in the cause of performing his duties under the United Nations Mission in Sudan (UNMIS). Before his death he was privileged to have served close the powers that be in my country and this exposed him to huge sums of money of which about $7.5 Million was left to my surviving son and I. I am contacting you because I need a big favor from you as regards receiving these funds on our behalf and help us invest it in a profitable venture. Due to my inexperience in matters of business, I am willing to give free rein of affairs to you in the day to day running of such a business venture. Please if you are willing to assist me, don’t hesitate to reply and indicate your interest as soon as possible. Thanks and best regards. Amina Idris


---
layout: post
title: Prediction Time! Ellenberger vs. Kampmann
tags:
- Prediction Posts
status: publish
type: post
published: true
meta:
_edit_last: "3"
---
Lot of new blood making their Octagon debut. Do we have a future champ among us tonight? We'll see.
PRELIMINARY CARD
John Albert vs. Erik Perez
Unless Erik Perez is some phenom that the UFC knows all about (he's not) and tonight is his coming out party (it's not), this should be Albert's fight all day long. ALBERT by TKO
Jeremy Larsen vs. Joe Proctor
Should be a good scrap. Don't know too much aside from what I saw on TUF, but Proctor looked a bit more ready for the bright lights. PROCTOR by DECISION
Cristiano Marcello vs. Sam Sicilia
Yes, his jiu jitsu is amazing, but this aint' Abu Dhabi or the Pan Am games. SICILIA by TKO
Myles Jury vs. Chris Saunders
Loved the way Saunders fought on the show.  JURY by SUBMISSION
Daron Cruickshank vs. Chris Tickle
I guess we're supposed to be excited by this because somebody got hit in the balls, and some prank was pulled, and all that other house b.s. that happened on the show. I don't care about their "beef". Let's go with.... TICKLE by TKO
(MAIN CARD (FX)
Justin Lawrence vs. John Cofer
Not too jacked to see this one. Neither guy stood out on the show. Could be a coin flip kinda pick. Hopefully, Johnny is in the crowd to root for his cousin, Justin. Anybody get that reference? LAWRENCE by DECISION
Max Holloway vs. Pat Schilling
Babies going at it, as both Holloway and Schilling are too young to rent a car. Both coming off loses as well. HOLLOWAY by DECISION
Jonathan Brookins vs. Charles Oliveira
Tough call. Oliveira looked outstanding in his featherweight debut showing off a calf slicer submission. Brookins won't fall into any easy traps but I still think Oliveira can give him enough trouble. OLIVEIRA by DECISION
Mike Chiesa vs. Al Iaquinta
Hard not to root for Chiesa after the year he's been through. However I'm a strong believer in the Serra-Longo School and it appears everything they taught Iaquinta stuck. I like " 'lil Weidman" to walk away with the crown, but Chiesa doesn't go away easily. IAQUINTA by late TKO
Jake Ellenberger vs. Martin Kampmann
Extremely tough call as Kampmann has shown massive chin and good takedown defense in his fights. By all accounts, he was losing against Thiago Alves before Alves served up his own neck. Ellenberger has all the tools save for a great jits game and SHOULD win this fight. But I've counted out Kampmann before and this seems like one of those fights I'd go all in on Ellenberger and then yell at my tv.  KAMPMANN by SUBMISSION
LAST CARD RESULTS
8 - 4 I'm back baby!
ON THE YEAR
73 - 45


A Rate-limited Sidekiq Job - Part 1
Problem: A background task needs to hit an external service, but not too frequently
Solution: Use the rate limit gem
What do we do when the limit has been met?
Recently, I’ve been working on the above. I thought I'd write about the initial solution I tried, which is fine, but doesn't quite scale if you are frequently hitting the limit. The next post will address an alternate take.
TLDR; raise an exception if the rate limit has been met, and let sidekiq queue the job for later.
Sidekiq has a great feature, in that failed jobs will be re-queued.
Some details on the rate limits involved:
We want to hit the external service (Strava API) a maximum of 600 times in a fifteen minute period (900 seconds).
To build the basic Sidekiq job, retrying every fifteen minutes if we failed (to let the rate limit replenish)
class StravaSyncUserJob
include Sidekiq::Worker
sidekiq_retry_in do |count|
15.minutes
end
def perform(user_id)
end
end
Now if our StravaSyncUserJob#perform implementation raises, the task will be shelved for a later attempt. Let's configure the rate limiting with the Ratelimit gem
In our Gemfile:
gem 'ratelimit'
Then install the gem with bundle install
Now we'll setup some values:
RL_SUBJECT = "users" # Just a way to separate different ratelimit counts, can be any string in our case
# 600 hits per 15 minutes
RL_THRESHOLD = 600
RL_INTERVAL = 15.minutes
And implement our sidekiq perform method:
def perform(user_id)
ratelimited do
fetch_strava_data(user_id)
end
end
Creating the ratelimit object is easy, we give it a unique key, and an instance of the redis client, if we already have one for other purposes:
def ratelimit
@ratelimit ||= Ratelimit.new(
"strava_sync",
redis: $redis # We are already using Redis elsewhere in the app. If you aren't, leave out this parameter
)
end
Next, we'll implement the ratelimited method, which accepts a block and only calls it if the service has not exceeded the limit.
def ratelimited(&:block)
raise "Ratelimit met" if ratelimit.exceeded?(RL_SUBJECT, interval: RL_INTERVAL, threshold: RL_THRESHOLD)
block.call
end
Above, you can see we implicitly raise a RuntimeError with a message. This exception will trigger Sidekiq to re-queue the job and try in 15 minutes.
Earlier, I hinted this was not the solution we ended with (I'll write that up in the next post). We have somewhere around 6000 users for which we want twice daily sync of strava trips taken. Coupled with the short nature of the job (many requests will do little work as not all users will have recorded a ride since our last check), this causes lots of retries as we quickly hit the 600 requests per 15 minutes ceiling. However, the above approach sees perhaps a majority of the jobs re-queued by Sidekiq. This is fine, as they will get serviced eventually, and sidekiq is very efficient at it's work. But thousands of jobs were being requeued was the norm (not the exception), which feels wrong.
Stay in touch
Hi, I'm James Cowlishaw. Mickey is a minimal one-column theme for Spelt, based on Mickey for Jekyll, by @VincentChan.


--- layout: post status: publish published: true title: 'In store for Thursday: Live Blogging and an early Podcast episode' author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 879 wordpress_url: http://ivyenvy.com/?p=879 date: '2009-05-20 18:19:10 +0000' date_gmt: '2009-05-21 00:19:10 +0000' categories: - Ivy Envy tags: - Podcast - Twitter - Live Blogging - Live Video comments: [] ---
The Ivy Envy Podcast will be coming to you a few days early this week. The guys are scattering for the long weekend so Andy and I will do an episode tomorrow night. Since it will be just the two of us, I figure we can give the live blogging here on the site another try.
Also, we will be testing a live video podcast program. We have discussed doing a live show for our Saturday episodes and not only would you be able to hear the show live, you would be able to see us recording. This might make for some interesting shows and we could incorporate phone calls and make things a little more interactive.
So that's the agenda for tomorrow.
As for tonight, I will be posting on Twitter throughout the game.
Follow us at: www.twitter.com/ivyenvy


Merge Constellations
Instructions: The first column shows data points from {{ data.constellation1.nameEntries.0.original }} in red. The third column shows data points from {{ data.constellation2.nameEntries.0.original }} in blue. Any data points shared by both Constellations will appear automatically in the "Merge Area" column as purple boxes. Click a data component and use the arrow buttons to move it into the gray "Merge Area" to include that component in the merge.
When you have added all data points into the center column, for each data category, use the "Preview" button to see your merge and the "Merge" button to perform the merge. A merge can not be undone. Any data element not moved to the "Merge Area" will be tombstoned with the original Constellations and not carried forth to the merged identity.
Compare Constellations
Information: The first column shows data points from {{ data.constellation1.nameEntries.0.original }} in red. The third column shows data points from {{ data.constellation2.nameEntries.0.original }} in blue. Any data they share in common is displayed as purple boxes in the middle "Shared" column.


Hierarch Kekropus:
Ah, you. I have been expecting you. So you are unsatisfied with your present position? That is understandable.
As you are, you cannot reach your full potential as a Kamael.
Now, however, you will be able to access the power in you that, as mentioned in the "Forgotten
History," was sealed by the lady in the blue dress...
"Forgotten History? Sealed? Please tell me the story in more detail."


For full functionality of this site it is necessary to enable JavaScript. Here are the
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%if sporocilo is not None: {{sporocilo}} %end
Copyright © 2018 Colorlib. All rights reserved. Template by Colorlib.
Copyright © 2018 Colorlib. All rights reserved. Template by Colorlib.


Date: {{activity.when}}
Location: {{activity.where}}
Initiator: {{activity.initiator}}
Joining: {{activity.joining}}
Comments: {{activity.comments}}


This example demonstrates the Lookup usage for the Dynamic Form Field library.
Note: If you go back to the basic book example, you would notice that for property "Currency", it's just a free text input.
However, in real world, there are limited kinds of currency, for example USD, EUR, etc. In this case, you would need a drop down to list all kinds of currency. And here our Lookup comes into play.
Also, you gonna find out there is a new field "Country", which demonstrates the usage of Lookup as an enhancement.
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WebEx is advanced multi-party video conference system.
iRehab helps you to schedule an appointment with your doctor in the most convenient way.
iRehab can link you to the most appropriate helper in the shortest time, enhance your opportunity to get help from professional teams.
The Ohio State University School of Health and Rehabilitation Sciences Division of Occupational Therapy
Atwell Hall, 453 West Tenth Avenue, Columbus, Ohio 43210
Phone:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>


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Bootstrap
The MIT License (MIT)
Copyright (c) 2011-2020 Twitter, Inc.
Copyright (c) 2011-2020 The Bootstrap Authors
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
jQuery
Copyright JS Foundation and other contributors, https://js.foundation/
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Font Awesome
Copyright (c) 2018 RStudio, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


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