5 Synthesis
Alright, here I visualize the findings from the analysis section. I’ll create a summary figure for each of the three blocks.
For that, I’ll extract the model estimates of the effects from each model first.
<- read_rds(here("models", "model1.rds"))
model1 <- read_rds(here("models", "model2.rds"))
model2 <- readRDS(here("models", "model3.rds"))
model3 <- read_rds(here("models", "model4.rds"))
model4 <- read_rds(here("models", "model5.rds"))
model5 <- readRDS(here("models", "model6.rds"))
model6 <- readRDS(here("models", "model7.rds"))
model7 <- read_rds(here("models", "model8.rds"))
model8 <- read_rds(here("models", "model9.rds")) model9
First we get all estimates.
<-
estimates tibble(
block = as.character(),
model = as.character(),
predictor = as.character(),
estimate = as.double(),
ci_low = as.double(),
ci_high = as.double(),
outcome = as.character()
)
<-
models paste0(
"model",
1:9
)
for (model in models) {
<- get(model)
m
<-
dat fixef(m) %>% # get fixed effects
as_tibble(., rownames = "predictor") %>% # turn to tibble and save predictor variable
filter(predictor != "Intercept") %>% # remove intercept
select(-Est.Error) %>% # drop variable
mutate( # add the outcome by turning formula into character and selecting the first section
outcome = as.character(m$formula)[1] %>%
str_replace(., "\n", "") %>% # remove line breaks
str_remove(., "\\ (.*)") # select the outcome name
%>%
) rename(
estimate = Estimate,
ci_low = `Q2.5`,
ci_high = `Q97.5`
%>%
) mutate(
model = model, # original name
# block of the RQ
block = case_when(
parse_number(model) %in% 1:3 ~ "Personality on smartphone use",
parse_number(model) %in% 4:6 ~ "Experiences on smartphone use",
parse_number(model)%in% 7:9 ~ "Smartphone use on well-being"
)
)
# bind them all into a tibble
<-
estimates bind_rows(
estimates,
dat
) }
Next, let’s make some cosmetic changes.
<-
estimates %>%
estimates # get odds for estimates of the gamma models
mutate(
across(
:ci_high,
estimate~ case_when(
str_detect(outcome, "social_media") ~ exp(.x),
TRUE ~ .x
)
)%>%
) # create variable that indicates within or between for models on the state level and whether predictors are state or trait
mutate(
between_within = case_when(
str_detect(predictor, "between") ~ "between",
str_detect(predictor, "within") ~ "within",
TRUE ~ NA_character_
),trait_state = case_when(
!= "Personality on smartphone use" ~ "state",
block TRUE ~ "trait"
)%>%
) # clean up level names
mutate(
across(
c(predictor, outcome),
~ case_when(
str_detect(.x, "objective") ~ "Objective",
str_detect(.x, "subjective") ~ "Subjective",
str_detect(.x, "_c$|between|within") ~ str_to_title(str_remove(.x, "_.*")),
str_detect(.x, "well") ~ "Well-being",
TRUE ~ str_to_title(.x)
)
)%>%
) # give a value for the line that signifies no effect
mutate(
line = if_else(outcome %in% c("Objective", "Subjective"), 1, 0)
)
5.1 Numerical model estimates
In the paper, we don’t present numerical estimates because we ran that many models and believe a figure is more adequate to give readers a good idea of our data. Here, we show all estimates from the analysis section in one place.| RQ | Estimate | Predictor | Outcome | Lower 95% CI | Upper 95% CI | Predictor between or within | Predictor trait or state |
|---|---|---|---|---|---|---|---|
| Personality on smartphone use | 1.0012650 | Openness | Objective | 0.8561624 | 1.1682906 | NA | trait |
| Personality on smartphone use | 0.9928173 | Conscientiousness | Objective | 0.8486894 | 1.1599741 | NA | trait |
| Personality on smartphone use | 1.1031411 | Extraversion | Objective | 0.9634127 | 1.2664122 | NA | trait |
| Personality on smartphone use | 0.9353134 | Agreeableness | Objective | 0.8010626 | 1.0910298 | NA | trait |
| Personality on smartphone use | 1.1220985 | Neuroticism | Objective | 0.9498516 | 1.3186005 | NA | trait |
| Personality on smartphone use | 0.9088681 | Competence | Objective | 0.7874181 | 1.0541874 | NA | trait |
| Personality on smartphone use | 0.9915935 | Relatedness | Objective | 0.8797513 | 1.1192422 | NA | trait |
| Personality on smartphone use | 0.9639844 | Autonomy | Objective | 0.8472285 | 1.0954242 | NA | trait |
| Personality on smartphone use | 0.9564898 | Openness | Subjective | 0.8142978 | 1.1263943 | NA | trait |
| Personality on smartphone use | 0.9270839 | Conscientiousness | Subjective | 0.7891877 | 1.0857180 | NA | trait |
| Personality on smartphone use | 1.0599241 | Extraversion | Subjective | 0.9218669 | 1.2184596 | NA | trait |
| Personality on smartphone use | 0.9607391 | Agreeableness | Subjective | 0.8240315 | 1.1259502 | NA | trait |
| Personality on smartphone use | 1.0572651 | Neuroticism | Subjective | 0.9030043 | 1.2374448 | NA | trait |
| Personality on smartphone use | 0.9560225 | Competence | Subjective | 0.8268558 | 1.1044105 | NA | trait |
| Personality on smartphone use | 0.9797460 | Relatedness | Subjective | 0.8650780 | 1.1079526 | NA | trait |
| Personality on smartphone use | 0.9098677 | Autonomy | Subjective | 0.7988148 | 1.0413136 | NA | trait |
| Personality on smartphone use | -16.8059530 | Openness | Error | -42.6156187 | 9.7989453 | NA | trait |
| Personality on smartphone use | -10.9245239 | Conscientiousness | Error | -36.6795446 | 15.1357417 | NA | trait |
| Personality on smartphone use | -3.4464908 | Extraversion | Error | -22.7416868 | 16.0504478 | NA | trait |
| Personality on smartphone use | -8.8490298 | Agreeableness | Error | -34.3206265 | 16.6875642 | NA | trait |
| Personality on smartphone use | -21.8877449 | Neuroticism | Error | -48.2662733 | 4.5817418 | NA | trait |
| Personality on smartphone use | 11.3090672 | Competence | Error | -10.3417279 | 32.5748817 | NA | trait |
| Personality on smartphone use | -0.7915929 | Relatedness | Error | -18.8548668 | 16.6994099 | NA | trait |
| Personality on smartphone use | -2.6627363 | Autonomy | Error | -21.2450482 | 16.3289309 | NA | trait |
| Experiences on smartphone use | 0.9782329 | Autonomy | Objective | 0.8430962 | 1.1319678 | between | state |
| Experiences on smartphone use | 1.0082515 | Competence | Objective | 0.8776508 | 1.1577488 | between | state |
| Experiences on smartphone use | 0.9921151 | Relatedness | Objective | 0.8634949 | 1.1467975 | between | state |
| Experiences on smartphone use | 0.9655522 | Satisfied | Objective | 0.8352040 | 1.1195041 | between | state |
| Experiences on smartphone use | 1.0466593 | Boring | Objective | 0.9346933 | 1.1708973 | between | state |
| Experiences on smartphone use | 1.0051358 | Stressful | Objective | 0.9087241 | 1.1110273 | between | state |
| Experiences on smartphone use | 1.0760257 | Enjoyable | Objective | 0.9300967 | 1.2443189 | between | state |
| Experiences on smartphone use | 0.9936441 | Autonomy | Objective | 0.8884132 | 1.1105737 | within | state |
| Experiences on smartphone use | 0.9428482 | Competence | Objective | 0.8471665 | 1.0517166 | within | state |
| Experiences on smartphone use | 1.0119016 | Relatedness | Objective | 0.8983982 | 1.1367532 | within | state |
| Experiences on smartphone use | 1.0155899 | Satisfied | Objective | 0.9214768 | 1.1197386 | within | state |
| Experiences on smartphone use | 0.9896022 | Boring | Objective | 0.9177769 | 1.0666320 | within | state |
| Experiences on smartphone use | 0.9808938 | Stressful | Objective | 0.9154929 | 1.0519858 | within | state |
| Experiences on smartphone use | 1.0304687 | Enjoyable | Objective | 0.9404241 | 1.1300332 | within | state |
| Experiences on smartphone use | 0.9300347 | Autonomy | Subjective | 0.8007163 | 1.0780199 | between | state |
| Experiences on smartphone use | 0.9110952 | Competence | Subjective | 0.7933090 | 1.0511974 | between | state |
| Experiences on smartphone use | 1.0069004 | Relatedness | Subjective | 0.8719371 | 1.1594090 | between | state |
| Experiences on smartphone use | 0.9078853 | Satisfied | Subjective | 0.7824334 | 1.0543062 | between | state |
| Experiences on smartphone use | 1.0990411 | Boring | Subjective | 0.9801975 | 1.2311815 | between | state |
| Experiences on smartphone use | 0.9792680 | Stressful | Subjective | 0.8864074 | 1.0833942 | between | state |
| Experiences on smartphone use | 1.1221182 | Enjoyable | Subjective | 0.9673823 | 1.2974436 | between | state |
| Experiences on smartphone use | 0.9961638 | Autonomy | Subjective | 0.8881633 | 1.1178577 | within | state |
| Experiences on smartphone use | 0.9622879 | Competence | Subjective | 0.8586757 | 1.0773853 | within | state |
| Experiences on smartphone use | 0.9959550 | Relatedness | Subjective | 0.8811687 | 1.1249255 | within | state |
| Experiences on smartphone use | 0.9738658 | Satisfied | Subjective | 0.8838940 | 1.0750254 | within | state |
| Experiences on smartphone use | 1.0204638 | Boring | Subjective | 0.9446895 | 1.1036047 | within | state |
| Experiences on smartphone use | 0.9762666 | Stressful | Subjective | 0.9079664 | 1.0490854 | within | state |
| Experiences on smartphone use | 1.0417190 | Enjoyable | Subjective | 0.9432723 | 1.1486231 | within | state |
| Experiences on smartphone use | -3.0436910 | Autonomy | Error | -24.8136383 | 18.6602039 | between | state |
| Experiences on smartphone use | -9.9727821 | Competence | Error | -29.5460975 | 9.6907612 | between | state |
| Experiences on smartphone use | 5.5548291 | Relatedness | Error | -13.2576986 | 24.3494590 | between | state |
| Experiences on smartphone use | -13.0003871 | Satisfied | Error | -35.4784744 | 9.2554794 | between | state |
| Experiences on smartphone use | 4.9723429 | Boring | Error | -8.7595478 | 18.2959361 | between | state |
| Experiences on smartphone use | -7.5493568 | Stressful | Error | -18.9017106 | 3.9205180 | between | state |
| Experiences on smartphone use | 6.8753807 | Enjoyable | Error | -14.5185437 | 28.8908163 | between | state |
| Experiences on smartphone use | -0.2548933 | Autonomy | Error | -6.8289289 | 6.2160828 | within | state |
| Experiences on smartphone use | -0.3476491 | Competence | Error | -6.5695029 | 5.9160020 | within | state |
| Experiences on smartphone use | 0.4799661 | Relatedness | Error | -8.2108490 | 8.6383165 | within | state |
| Experiences on smartphone use | -6.0554989 | Satisfied | Error | -12.1136872 | 0.0585069 | within | state |
| Experiences on smartphone use | 2.7004403 | Boring | Error | -1.1717077 | 6.7490586 | within | state |
| Experiences on smartphone use | -0.4921211 | Stressful | Error | -4.3427572 | 3.4020066 | within | state |
| Experiences on smartphone use | 2.6270650 | Enjoyable | Error | -2.3714624 | 7.6912586 | within | state |
| Smartphone use on well-being | 0.0065712 | Objective | Well-being | -0.0732838 | 0.0848080 | between | state |
| Smartphone use on well-being | -0.0167289 | Objective | Well-being | -0.0903201 | 0.0577650 | within | state |
| Smartphone use on well-being | -0.0128997 | Subjective | Well-being | -0.0824097 | 0.0562883 | between | state |
| Smartphone use on well-being | -0.0280263 | Subjective | Well-being | -0.0791005 | 0.0238904 | within | state |
| Smartphone use on well-being | -0.0232013 | Error | Well-being | -0.1618117 | 0.1150030 | between | state |
| Smartphone use on well-being | -0.0284695 | Error | Well-being | -0.1469967 | 0.0776612 | within | state |
5.2 Personality on smartphone use (trait)
Okay, next I create the first summary figure. We see that none of the trait underlying true trait relations (conditional on our model) exclude zero. Neuroticism and openness might be related to less error in estimating smartphone use, but even their credible interval includes zero.
# function for breaks
<-
my_breaks function(x) {
if (max(x) > 5){
c(-50, 0, 50)
else {
} c(0.8, 1, 1.2)
}
}
# function for limits
<-
my_limits function(x) {
if (max(x) > 5){
c(-50, 50)
else {
} c(0.65, 1.35)
}
}
# plot
ggplot(
%>%
estimates filter(block == "Personality on smartphone use") %>%
mutate(
outcome = as.factor(outcome),
outcome = fct_recode(
outcome,"Objective (min)" = "Objective",
"Subjective (min)" = "Subjective",
"Accuracy (%)" = "Error"
),
# reorder predictors
predictor = as.factor(predictor),
predictor = fct_rev(fct_relevel(
predictor,"Autonomy",
"Competence",
"Relatedness",
"Agreeableness",
"Conscientiousness",
"Extraversion",
"Neuroticism",
"Openness"
)
)),aes(
x = estimate,
y = predictor
)+
) geom_vline(
aes(
xintercept = line
),color = "#999999",
linetype = "dashed"
+
) geom_pointrange(
aes(
xmin = ci_low,
xmax = ci_high
#,
)# position = position_dodge2(.6, reverse = TRUE)
+
) facet_wrap(
~ outcome,
scales = "free_x"
+
) scale_x_continuous(breaks = my_breaks, limits = my_limits) +
theme(
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.ticks.y = element_blank(),
axis.line.y = element_blank(),
strip.background.x = element_blank(),
strip.background.y = element_blank(),
text = element_text(family = "Corbel")
-> figure4
)
figure4
ggsave(
here("figures", "figure4.tiff"),
plot = figure4,
width = 21 * 0.8,
height = 29.7 * 0.4,
units = "cm",
dpi = 300
)
5.3 Experiences on smartphone use (state)
I’ll move on to the next block investigating state relations between experiences and smartphone use.
ggplot(
%>%
estimates filter(block == "Experiences on smartphone use") %>%
mutate(
outcome = as.factor(outcome),
outcome = fct_recode(
outcome,"Objective (min)" = "Objective",
"Subjective (min)" = "Subjective",
"Accuracy (%)" = "Error"
),predictor = as.factor(predictor),
predictor = fct_rev(fct_relevel(
predictor,"Autonomy",
"Competence",
"Relatedness",
"Boring",
"Enjoyable",
"Satisfied",
"Stressful"
))
),aes(
x = estimate,
y = predictor,
color = between_within
)+
) geom_vline(
aes(
xintercept = line
),color = "#999999",
linetype = "dashed"
+
) geom_pointrange(
aes(
xmin = ci_low,
xmax = ci_high
),position = position_dodge2(.6, reverse = TRUE)
+
) facet_wrap(
~ outcome,
scales = "free_x"
+
) scale_x_continuous(breaks = my_breaks, limits = my_limits) +
scale_color_manual(values = c("#009E73", "#D55E00")) +
scale_fill_manual(values = c("#009E73", "#D55E00")) +
theme(
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.ticks.y = element_blank(),
axis.line.y = element_blank(),
strip.background.x = element_blank(),
strip.background.y = element_blank(),
legend.title = element_blank(),
legend.position = "bottom",
text = element_text(family = "Corbel")
-> figure5
)
figure5
ggsave(
here("figures", "figure5.tiff"),
plot = figure5,
width = 21 * 0.8,
height = 29.7 * 0.4,
units = "cm",
dpi = 300
)
5.4 Smartphone use on well-being (state)
I’ll move on to the next block investigating state relations between smartphone use and well-being.
ggplot(
%>%
estimates filter(block == "Smartphone use on well-being") %>%
mutate(
predictor = as.factor(predictor),
predictor = fct_recode(
predictor,"Objective (h)" = "Objective",
"Subjective (h)" = "Subjective",
"Accuracy (%, standardized)" = "Error"
)
),aes(
x = estimate,
y = predictor,
color = between_within
)+
) geom_vline(
aes(
xintercept = line
),color = "#999999",
linetype = "dashed"
+
) geom_pointrange(
aes(
xmin = ci_low,
xmax = ci_high
),position = position_dodge2(.6, reverse = TRUE)
+
) scale_x_continuous(breaks = c(-0.2, 0, 0.2), limits = c(-0.21, 0.21)) +
scale_color_manual(values = c("#009E73", "#D55E00")) +
scale_fill_manual(values = c("#009E73", "#D55E00")) +
theme(
axis.title.y = element_blank(),
axis.title.x = element_blank(),
axis.ticks.y = element_blank(),
axis.line.y = element_blank(),
strip.background.x = element_blank(),
strip.background.y = element_blank(),
legend.title = element_blank(),
legend.position = "bottom",
text = element_text(family = "Corbel")
-> figure6
)
figure6
ggsave(
here("figures", "figure6.tiff"),
plot = figure6,
width = 21 * 0.8,
height = 29.7 * 0.4,
units = "cm",
dpi = 300
)


Runtime error: 'Utility' undefined member function Runtime error occurred in ExecuteTasks(348), call trace:
MyModel::Utility()
.
Utility()
. The user should not define a new version.
MyModel : ReservationValues { // Utility(); RUtility(); EUtility(); }


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This task will guide you through the process of adding the Windows Hello UWP API to your Win32 Desktop app using Visual Studio 2017. We will also add support for presenting Windows 10 UWP Toast notifications to the user.
Windows Hello is the name Microsoft has given to the new biometric sign-in system built into Windows 10. Because it is built directly into the operating system, Windows Hello allows face or fingerprint identification to unlock users' devices. Authentication happens when the user supplies his or her unique biometric identifier to access the device-specific credentials, which means that an attacker who steals the device can't log on to it unless that attacker has the PIN. The Windows secure credential store protects biometric data on the device. By using Windows Hello to unlock a device, the authorized user gains access to all of his or her Windows experience, apps, data, websites, and services. The Windows Hello authenticator is known as a Hello. A Hello is unique to the combination of an individual device and a specific user. It does not roam across devices, is not shared with a server or calling app, and cannot easily be extracted from a device. If multiple users share a device, each user needs to set up his or her own account. Every account gets a unique Hello for that device. You can think of a Hello as a token you can use to unlock (or release) a stored credential. The Hello itself does not authenticate you to an app or service, but it releases credentials that can. In other words, the Hello is not a user credential but it is a second factor for the authenticating process.
Windows Hello is shipping as part of the Windows 10 operating system and developers can implement this technology to protect their Universal Windows Platform (UWP) apps and backend services.
Basic knowledge of C# development
Basic knowledge of client development with the .NET framework
Basic knowledge of Windows 10 and the Universal Windows Platform
A computer with Windows 10 Anniversary Update or Windows 10 Creators Update. If you want to use the Desktop App Converter with an installer, you will need at least a Pro or Enterprise version, since it leverages a feature called Containers which is not available in the Home version.
Visual Studio 2017 with the tools to develop applications for the Universal Windows Platform. Any edition is supported, including the free Visual Studio 2017 Community
Complete the section on Adding Windows 10 UWP APIs to your Desktop Bridge App
We will use the Desktop Bridge Knowzy application which was created in the previous tasks as a starting point. To get started, please open the Microsoft.Knowzy.WPF.sln in the src\Knowzy_Engineering_Win32App folder with Visual Studio 2017.
Note: If you are starting with this from the 2.1.3 solution, you will need to do the following:
Set the Build configuration to Debug | x86
Select Options from the Debug menu, From the Debugging | General Tab, disable the Enable Just My Code option.
Set the Microsoft.Knowzy.Debug project as the startup project.
Verify these settings before you continue with this task.
Following the techniques presented in the previous task, we are going to add the Windows 10 UWP code for the Windows Hello API and Toast notifications as helper classes. These helper classes can be accessed by the Knowzy app when it is running as a Desktop Bridge UWP app.
Add a new C# class to the Microsoft.Knowzy.UwpHelpers project. Name the file WindowsHello.cs.
Add the following code to WindowsHello.cs. This code uses methods from the Windows 10 UWP API
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Windows.Security.Credentials;
namespace Microsoft.Knowzy.UwpHelpers
{
public class WindowsHello
{
public static async Task<bool> Login()
{
var result = await KeyCredentialManager.IsSupportedAsync();
String message;
if (result)
{
var authenticationResult = await KeyCredentialManager.RequestCreateAsync("login", KeyCredentialCreationOption.ReplaceExisting);
if (authenticationResult.Status == KeyCredentialStatus.Success)
{
message = "User is logged in";
}
else
{
message = "Login error: " + authenticationResult.Status;
}
}
else
{
message = "Windows Hello is not enabled for this device.";
}
String imagePath = Windows.ApplicationModel.Package.Current.InstalledLocation.Path;
String xml = "<toast><visual><binding template='ToastGeneric'><text hint-maxLines='1'>" + message + "</text></binding></visual></toast>";
Toast.CreateToast(xml);
return result;
}
}
}
This is only a starting point for Windows Hello support but it is sufficient to demonstrate how to add Windows 10 UWP APIs to your Desktop Bridge App. You will have the opportunity to complete coding a Windows Hello login in a later task.
The previous code example for Windows Hello uses a Toast notification to indicated to the user if they are logged in. We need to add a UWP Helper class for Toasts.
Add a new C# class to the Microsoft.Knowzy.UwpHelpers project. Name the file Toast.cs.
Add the following code to Toast.cs. This code uses methods from the Windows 10 UWP API
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Windows.Data.Xml.Dom;
using Windows.UI.Notifications;
namespace Microsoft.Knowzy.UwpHelpers
{
public class Toast
{
static ToastNotification toast = null;
static ToastNotifier notifier = null;
public static void CreateToast(String xml)
{
if (!ExecutionMode.IsRunningAsUwp())
{
return;
}
try
{
if (notifier == null)
{
notifier = ToastNotificationManager.CreateToastNotifier();
}
else
{
notifier.Hide(toast);
}
XmlDocument toastXml = new XmlDocument();
toastXml.LoadXml(xml);
toast = new ToastNotification(toastXml);
notifier.Show(toast);
}
catch (Exception ex)
{
Debug.WriteLine("CreateToast Error:" + ex.Message);
}
}
}
}
When the Login menu item in clicked in the UI of the Knowzy app, a message to open the Login dialog is sent to the Handle(OpenLoginMessage message) method in Microsoft.Knowzy.WPF\ViewModels\ShellViewModel.cs.
Open the file Microsoft.Knowzy.WPF\ViewModels\ShellViewModel.cs and find the Handle(OpenLoginMessage message) method near line 78.
Modify the Handle(OpenLoginMessage message) as follows:
using Microsoft.Knowzy.UwpHelpers;
public async void Handle(OpenLoginMessage message)
{
if (ExecutionMode.IsRunningAsUwp())
{
await WindowsHello.Login();
}
else
{
_windowManager.ShowDialog(_loginViewModel);
}
}
Build and run the solution (with Windows.Knowzy.Debug as the startup project)
Click on the Login Menu item.
If your computer is capable of running the Windows Hello Login you will be presented with the Windows Hello Login interface.
If your computer is not capable of running the Windows Hello Login, a Toast will appear in the lower left corner of your screen.
Run just the WPF version (right-click on the Microsoft.Knowzy.WPF project and select Debug | Start new instance). Clicking on the Login button will show:
Please note that this is not a complete implementation of Windows Hello login. For more information, please go here.
We will continue to add more Windows 10 UWP features to our app in the next task.


Department of Advanced Science and Technology
University of Computer Studies
B.C.Sc/B.C.Tech. ( Third Year)
Computer Organization
Mid Tearm Examination
Computer Organization(CST-301)
Zone III
Answer ALL Questions
Time allowed 3hours.
| (a) Architectural design | (f) ERP |
| (b) Peer-to-peer architectures | (g) Middleware |
| (c) A distributed system | (h) Reference architecture |
| (d) Concurrency | (i) Component model |
| (e) Parser Generator | (j) Benefits f software reuse |


rotten > Library > Death > Strange Deaths > Strange Celebrity Deaths
Strange Celebrity Deaths
- Jeff Porcaro, of Toto, 1992, "Jeff died from inhaling poisonous fumes from a dangerous insecticide. He was setting out a barbecue in his garden. Jeff thought that he could handle the poison without expert advice and, moreover, without protective clothing or a mask. Shortly beforehand he had taken a hot shower and this contributed to his death."
Pornopolis |
Rotten |
Faces of Death |
Famous Nudes
|


Parameters: (int destination_array,int destination_array_size, int source_array, int source_array_size, int parity)
Return type: int array
Function description: Calculates the 12 bit hamming code of the 8 data bits passed as source array. The source array must be passed as: [D12, D11, D10, D9, D7, D6, D5, D3] and the hamming code will be returned as [D12, D11, D10, D9, P8, D7, D6, D5, P4, D3, P2, P1]. The parity bit must either be 0 or 1(0: Even parity, 1: Odd parity).
Example: a[n] = *hamming_12(a, n, array, n1, parity);


Allergies:
Medication:
Age:
Weight:
Blood Type:
Name: Dr. Realmann
Number:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Address: 420 Lakeshore Dr.
Name: Middlth Elementary High For the Arts
Number:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Address: 4880 School Dr.
March 3rd, 2019: BOB
March 1st, 2019: JANNETTE
February 18th, 2019: BOB
February 9th, 2019: JANNETTE
February 2nd, 2019: BOB
January 5th, 2019: BOB
Pediatrician


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Apprenticeships levy
Employer agreement
Updated
1.Introduction
1.1
This Agreement is made between the Secretary of State for Education through the Skills Funding Agency, an executive agency of the Department for Education (the SFA) and Red & White Holdings Ltd, (the Employer).
1.2
The Agreement applies to any organisation that employs Apprentices and sets out the terms and conditions on which the SFA will make payments to Providers who have a Contract with the Employer to deliver Apprenticeships.
2.Definitions
“Agreement” means this agreement between the Employer and the SFA
“Apprentice” means those who receive apprenticeship training and (where required) end-point assessment through an apprenticeship framework or standard funded by the Skills Funding Agency.
“Apprenticeship” means a job with an accompanying skills development programme. This includes the training and (where required) end-point-assessment for an employee as part of a job with an accompanying skills development programme.
“Apprenticeship Framework” means
“Apprenticeship Levy” means a levy on UK employers to fund new apprenticeships. In England, control of apprenticeship funding will be put in the hands of employers through the Digital Apprenticeship Service
“Apprenticeship Standard” means
“Contract” means the Contract between the Employer and the Provider for the delivery of Apprenticeships.
“Digital apprenticeship service” means the digital interface to services designed to support the uptake of apprenticeships. The service is aimed primarily at employers, with information coming from a range of different sources including learning providers and apprenticeship assessment organisations.
“Funding” means
“Funding Rules” means the document which sets out the detailed requirements for Apprenticeships which the Employer and Provider must comply with in order for the Provider to be funded by the SFA.
“Provider” means an organisation body who has a Contract with the Employer to deliver Apprenticeships.
“Provider Agreement” means the agreement between the Provider and the SFA setting out the condition on which the Provider will receive Funding from the SFA.
“Register” means the Register of Apprenticeship Training Providers on which all Providers must appear and the Register of Apprenticeship Assessment Organisations on which all Assessment Organisations must appear.
3.Term of agreement
3.1
The Agreement will commence on XXXXX and shall end on XXXXX unless it is terminated in accordance with clause 12.
4.Conditions of funding
4.1
The Employer agrees to comply with the terms and conditions of this Agreement together with current versions of the following documents which are incorporated and form part of this Agreement:
- The Funding Rules
- The Apprenticeship Funding Bands Document / Funding rates and Calculations documents?
- DAS conditions of use
5.Contract Requirements
5.1
The Employer must record as a commitment in a digital apprenticeship service account details of all the Apprenticeships that will be delivered under a Contract with a Provider and must agree any changes to any commitment with the relevant provider before these are recorded in the digital apprenticeship service.
5.2
The Employer must enter into a binding Contract for Services with a Provider for the provision of Apprenticeships detailed in a commitment recorded in the digital apprenticeship service. The Contract for Services must recognise that the Employer is liable to pay the Provider the SFA may make full or partial payments to the Provider in accordance with a Provider Agreement.
5.3
The Employer must enter into a Contract with a Provider which appears on the Register to deliver Apprenticeships and the Contract must include terms which deal with the following:
5.3.1
monitoring of the activity and quality of apprenticeships being delivered, I ncluding supporting quality arrangement of Ofsted and/or QAA;
5.3.2
provision for SFA and any other person nominated by SFA access to the Provider’s premises and all documents related to SFA funded provision;
5.3.3
provision of data to SFA to enable timely updating of the Employer’s digital accounts and for SFA to manage the apprenticeship budget;
5.3.4
data protection; and
5.3.4
dispute resolution.
5.4
The details of any commitment recorded on the digital apprenticeship service must be incorporated and included as a schedule to the Contract between the Employer and Provider.
5.5
The Employer must select an Assessment Organisation that will enter into a contract with the Provider to deliver the end point assessments for the Apprenticeships detailed in a commitment recorded in the digital apprenticeship service.
5.6
The Employer must select an Assessment Organisation which appears on the Register to deliver end point assessments.
5.6
The employer may only direct funding from their digital account to spend on eligible apprenticeship training and assessment for their employees delivered by approved providers.
5.7
The employer must allow access to SFA auditors in the event of an investigation into fraud or irregularity by the provider or the employer.
5.7
Where the SFA has reasonable cause to suspect that fraud or irregularity has occurred in relation to the payments under this Agreement, the SFA shall have the right of access to the Employer’s premises at any reasonable time with or without notice to examine and remove or copy all relevant documents and records including electronic records and to interview the Employer’s servants or agents engaged with the delivery of the Contract(s).
6.Contract Compliance and Audit
6.1
The Employer must participate in audits of their arrangements as required by the SFA including, but not limited to providing, on request and at its own cost, evidence that:
6.1.1
It owns and operates the PAYE schemes associated with its DAS Account or that the schemes are owned and operated by connected companies;
6.1.2
he employers associated with its DAS account are connected companies according to HMRC’s definition;
6.1.3
Apprentices detailed in a commitment recorded in the digital apprenticeship service account are included in a PAYE scheme associated with that digital apprenticeship service account.
6.2
The Employer shall comply in full with the terms and conditions of this Agreement
7.Payments– Employer obligations
7.1
The Employer must pay the Apprenticeship Levy which is payable in the financial year which it becomes due.
7.2
The Employer must make relevant co-investment payments, calculated in accordance with the funding rules.
7.3
The Employer must pay the SFA on demand any co-funding amount due if the Employer levy account remains negative for XXX months.
7.4
The Employer shall pay the SFA on demand the value of any payments made to Providers on their behalf where, for any reason, the apprenticeship arrangements with the Provider are invalid.
7.5
The employer must not ask for or demand from a provider or an intermediary for access to funds in their digital account.
7.6
The employer must not agree any arrangement with the provider or an intermediary aimed at off-setting or reducing a co-investment payment due by the employer except where this is authorised byunder the SFA’s funding rules.
8.Payments to Providers – SFA obligations
8.1
Subject to the terms and conditions of this Agreement and the Provider Agreement, the SFA shall make the following payments to Providers:
- the cost agreed by the employer and Provider for the delivery of Apprenticeships detailed in a commitment recorded on the digital apprenticeship service or a figure up to the maximum allowable under the Apprenticeship Funding Bands
- the cost for the delivery of English, Maths and learning support where required.
- Additional payments in accordance with the Funding Rules
8.2
The Provider will be responsible for paying the additional payments to the Employer in accordance with the Funding Rules.
9.Limitation of Liability
9.1
The SFA will not be liable to the Employer for any indirect or consequential loss, damage, injury or costs whatsoever.
10.Complaints about Providers
10.1
If the Employer has a complaint about the Provider’s delivery of Apprenticeships it should attempt to resolve this directly with the Provider in accordance with the terms of the Contract.
10.2
If the Employer is unable to resolve its complaint with the Provider it may complain about the Provider in accordance with the SFA’s procedure for dealing with complaints about Providers.
11.Stopping Payments to Providers
11.1
The Employer must notify the SFA immediately if it gives notice to the Provider to terminate the Contract and confirm the date of termination. The SFA will stop paying the Provider on the date of termination unless the Employer notifies the SFA that payments should be stopped earlier.
11.2
The Employer must notify the SFA immediately if it becomes aware of any fraud or irregularity in the Provider’s delivery of the Apprenticeship. The SFA reserves the right to suspend payments to the Provider where it has reasonable cause to suspect fraud or irregularity.
11.3
The SFA shall notify the Employer if the Provider is removed from the Register. The SFA will stop payments to the Provider three months from the date of this notification unless the Provider has successfully re-entered the Register. The Employer must give the Provider three month’s notice to terminate the Contract with the Provider.
12.Termination of Agreement
12.1
This Agreement may be terminated;
12.1.1
by either Party giving not less than 3 month’s notice in writing to the other Party;
12.1.2
with immediate effect, by the SFA, on an Event of Insolvency of the Employer;
12.1.3
in the event of fraud or irregularity by the employer; or if the employer acts in a way that brings the apprenticeship programme into disrepute;
12.1.4
by either Party in the event that the other has committed a breach of the conditions set out in this Agreement which is not capable of remedy or which the other party has failed to remedy having been given written notice of such breach and, in the view of the party not in breach, reasonable time to rectify the breach.
12.2
For the purposes of Clause 12.1, the term “Event of Insolvency” shall mean the following:
12.2.1
an inability, or deemed inability to pay its debts within the meaning of section 123 of the Insolvency Act 1986; or
12.2.2
commencing negotiations with all or any class of creditors with a view to rescheduling any debts or entering into any composition or arrangement with creditors generally; or
12.2.3
an order being made or a resolution being passed, or a notice being issued convening a meeting for the purpose of passing a resolution, or any analogous proceedings are taken for winding up, administration or dissolution; or
12.2.4
any liquidator, trustee in bankruptcy, receiver, administrative receiver, administrator or similar officer being appointed over, or in respect of, any part of the Employer’s business or assets.
13.Dispute Resolution
13.1
Any dispute, difference or question arising between the Parties either during the currency of the Agreement or afterwards which cannot be resolved informally between the Parties shall be referred to the SFA’s nominated representative and the Employer’s representative nominated for this purpose (jointly “the Dispute Resolution Panel”) for formal review and consideration. Any request for referral to the Dispute Resolution Panel must include details of the dispute and any proposals to resolve it.
13.2
The Dispute Resolution Panel will meet within 28 days of receiving a request for referral made in accordance with clause 13.1 above.
14.Jurisdiction / Authorised Signatory
14.1
This Agreement shall be governed by and construed in accordance with English Law.
14.2
By signing this Agreement, the person signing on behalf of the Employer represents and warrants that the Employer agrees to be bound by this Agreement and that he/she is duly authorised to sign this agreement and legally bind the Employer.
15.State Aid
15.1
The Employer should satisfy itself if the European rules on State Aid apply to the value of benefits delivered under this Agreement.
16.Entire Agreement / Amendment
16.1
This Agreement constitutes the entire Agreement between the Secretary of State for Education and the Employer and shall not be varied except by an instrument in writing signed by the parties. This Agreement supersedes any and all prior agreements, correspondence, arrangements and communications whether oral or written of any party to this Agreement.


Technology | Computer Harddisk SSD
Fusion-IO Launches the Fastest SSD Ever
posted by MaryJane 3 days ago | http://shoutwire.com
Fusion-IO managed to take the concept of Solid State Drive to a whole new level through the launch of their new ioDrive able to reach the highest levels of performance ever delivered by a SSD. The new Fusion-IO product does not resemble a standard SSD, either in form or in delivered speed, which is stated to reach 800MB/s for read operations (about four times more speed than the fastest SATA SSD on the market) and about 680MB/s for write. The drive is also able to handle 100,000 random IOPS. Read more...
#1 by Mary - 6th April 2009 -14
methinks they just photoshoppied a hand holding the card over a background pic of a hot lass


public class SelectCardActivity
extends Activity
| Modifier and Type | Field and Description |
|---|---|
private TellMeMoreApplication |
app
A reference to the parent application.
|
private static TMMCard[] |
cardArr
The card array, used by the adapter class to render the cards in the
view.
|
static java.lang.String |
CARDS_READY_KEY
The Constant CARDS_READY_KEY.
|
private static int |
DEFAULT_POS
The Constant DEFAULT_POS.
|
static java.lang.String |
EXTRA_SELECTED_ID
The Constant EXTRA_SELECTED_ID.
|
static java.lang.String |
EXTRA_SELECTED_POS
The Constant EXTRA_SELECTED_POS.
|
private boolean |
hasCards
Flag indicating whether the cards are ready for display by this activity.
|
private static int |
KEY_SWIPE_DOWN
The Constant KEY_SWIPE_DOWN.
|
private int |
lastCard
The position of the last card selected, if known.
|
private SelectCardScrollAdapter |
mAdapter
The
SelectCardScrollAdapter used to render the cards in the
proper format. |
private AudioManager |
mAudioManager
The audio manager used to provide audio feedback to the user in response
to user actions.
|
private GestureDetector |
mDetector
The
GestureDetector that handles user input while this activity
is running. |
private SliderView |
mIndeterm
The indeterminate slider displayed while the cards are not yet ready to
be viewed.
|
private BroadcastReceiver |
mMessageReceiver
The broadcast message receiver for received Intents for the
"cards_loaded" event.
|
private CardScrollView |
mView
The
CardScrollView used to display the cards in sequential order. |
static java.lang.String |
TAG
The Constant TAG.
|
| Constructor and Description |
|---|
SelectCardActivity() |
| Modifier and Type | Method and Description |
|---|---|
private void |
enableCardScroll()
Enable the card scroll view.
|
protected void |
onCreate(Bundle savedInstanceState) |
void |
onDestroy() |
boolean |
onGenericMotionEvent(MotionEvent event) |
boolean |
onGesture(Gesture gesture) |
boolean |
onKeyUp(int keyCode,
KeyEvent event) |
void |
onPause() |
void |
onResume() |
private void |
registerListener()
Register the gesture detector listener.
|
public static final java.lang.String EXTRA_SELECTED_ID
public static final java.lang.String EXTRA_SELECTED_POS
SelectCardActivity
so that when the user returns to it, the card
they just tapped on is in focus.public static final java.lang.String CARDS_READY_KEY
private static final int DEFAULT_POS
private static final int KEY_SWIPE_DOWN
public static final java.lang.String TAG
private int lastCard
private boolean hasCards
private static TMMCard[] cardArr
private AudioManager mAudioManager
private TellMeMoreApplication app
private GestureDetector mDetector
GestureDetector
that handles user input while this activity
is running.private CardScrollView mView
CardScrollView
used to display the cards in sequential order.private SelectCardScrollAdapter mAdapter
SelectCardScrollAdapter
used to render the cards in the
proper format.private SliderView mIndeterm
private BroadcastReceiver mMessageReceiver
protected void onCreate(Bundle savedInstanceState)
private void registerListener()
private void enableCardScroll()
public void onResume()
public void onPause()
public boolean onGenericMotionEvent(MotionEvent event)
public boolean onKeyUp(int keyCode, KeyEvent event)
public boolean onGesture(Gesture gesture)
public void onDestroy()


dream
hunting
Cupid
So let's get drunk on our tears
tomorrow
light up the dark
ending
call my name
a lion kiss a deer
lost stars
tears
Who are we
Just a boy caught up in dreams and fantasies
Truth


| Top |
Functions
| gdouble | nc_halo_bias_eval () |
| void | nc_halo_bias_free () |
| void | nc_halo_bias_clear () |
| gdouble | nc_halo_bias_integrand () |
Object Hierarchy
GObject ╰── NcHaloBias ├── NcHaloBiasPS ├── NcHaloBiasSTEllip ├── NcHaloBiasSTSpher ╰── NcHaloBiasTinker
Description
Abstract object to compute the halo bias function given a mass function. The bias function is given by the eval function, which should be implemented by the child objects of the NcHaloBias class. Below there is a quick review about dark matter halo bias.
Dark Matter Halos are tracers of the Large Scale Structure (LSS) of the universe. On sufficient large scales, the correlations are weak and these objects are expected to be well described by perturbation theory. Given the background matter distribution, $\rho$, one can assume that the mass distribution in the universe is given by a small perturbation around this value. In this context, we define the density contrast $\delta$ as
\begin{align} \delta_b &= \frac{\delta \rho}{\rho} ,\end{align} which represents this perturbation around the background quantity.
The halos are formed when the density contrast passes a certain critical limit, that is, $\delta_b > \delta_c$. Even though $\delta_b$ is a gaussian random field, the real cluster formation is a rare event that involves non-linear mechanisms that cannot be explained perturbatively, and thus we must consider Peak-Background split effects. To connect the theory to observations, we introduce "bias parameters" in the observed halos distributions.
These bias parameters are linear corrections to the density contrast field, such that \begin{align} \delta &= [1 + b(z, M)] \delta_b ,\end{align} where $\delta$ is the new density contrast that accounts for the bias and $b(z, M)$ is the bias. There different biases for each mass function used in the cosmological computations. Check the child objects for their definitions.
Since this is an abstract class implementation, there is no initialization function of the object.
Functions
nc_halo_bias_eval ()
gdouble nc_halo_bias_eval (NcHaloBias *bias
,NcHICosmo *cosmo
,gdouble sigma
,gdouble z
);
Computes the Halo Bias at a given redshift.
nc_halo_bias_free ()
void
nc_halo_bias_free (NcHaloBias *bias
);
Atomically decrements the reference count of bias
by one. If the reference count drops to 0,
all memory allocated by bias
is released.
nc_halo_bias_clear ()
void
nc_halo_bias_clear (NcHaloBias **bias
);
Atomically decrements the reference count of bias
by one. If the reference count drops to 0,
all memory allocated by bias
is released. Set pointer to NULL.
nc_halo_bias_integrand ()
gdouble nc_halo_bias_integrand (NcHaloBias *mbiasf
,NcHICosmo *cosmo
,gdouble lnM
,gdouble z
);
This function is the integrand of the mean bias, i.e., the product of the mass function with the bias function. As both functions depend on the standard deviation of the matter density contrast, we implement this function to compute \f$ \sigma (M, z) \f$ just once.
It is worth noting that the multiplicity function must be compatible with the bias function.
Property Details
The “mass-function”
property
“mass-function” NcHaloMassFunction *
This property keeps the mass function object.
Owner: NcHaloBias
Flags: Read / Write / Construct Only


I am a full stack web engineer who is passionate about new technologies, education, and mission driven work.
Lorem Ipsum
I'm an environmental scientist full-time, spare-time I just play PC games and hang out with the wife, and the tecnologies we've used are React with Redux, Styled-Components, Canvas.js, and we'll have to see what else we decide to use (and whatever @Jacob Ryans can think of)
I’m a web dev intern and a full-stack web development student. When I’m not creating with code, I’m usually having a dance party with my kids or watching TV with my husband. To build the Gigapet API, I used Node, Express, PostgreSQL, and JSON Web Tokens.
I first got started in learning how to code by taking advice from some programming friends and taking an introduction to web development course on UDEMY. Since dipping my toe into the water, I have now taken the plunge and am currently studying Full Stack Web Development at Lambda School online. I am also a proud father of two Sphynx cats. I love video games, fishing, archery, and currently exploring the fun talent of balcony gardening.
I work full-time as a car salesman, I am also attending Lambda School to become a Full-Stack Web Developer. I love playing video games, my favorite being Days Gone, and spending time with my wife and daughter. I used HTML, CSS, and JavaScript to create this website.


Formatting
Basic syntax
| Element | Markdown syntax |
|---|---|
| Bold | **Bold** |
| Italic | _Italic_ |
~~Strikethrough~~ |
|
inline code |
`inline code` |
| Link | [Link](https://google.com/) , [Link](/site/url) |
| - Image | ![Image](https://google.com/logo.png) , ![Image title](/image/url) |
Ordered Lists
- First item
- Second item
- First Sub-item
- Second Sub-item
- Third item
1. First item
1. Second item
1. First Sub-item
1. Second Sub-item
1. Third item
Unordered Lists
- First item
- Second item
- First Sub-item
- Second Sub-item
- Third item
* First item
* Second item
* First Sub-item
* Second Sub-item
* Third item
Blockquote
Blockquote
with multiple lines
> blockquote
>
> with multiple lines
Horizontal Line
Example:
---


While queries run in the client's browser, data is not processed as part of the document or UI thread.
This puts it into a middle ground as an alternative to server-side processing.
The benefits are low-latency, offline browsing support, reduced server load, and it maintains high performance as data is stored/processed outside of the document DOM.
This is a working sample that should be adapted to individual need.
Firefox on Mac OS seems to take issue with IndexedDB
<sortable-table pageSize="10"> <indexeddb-ajax role="datasource" url="./fruits.json" dbVersion="48"></indexeddb-ajax> </sortable-table>
Data is loading = {{loading}}
<indexeddb-ajax url=[string] dbName=[optional string] dbStoreName=[optional string] dbVersion=[string] start=[int] length=[int] sortColumn=[string] sortDescending=[boolean] columns='[ {"name":"name"}, {"name":"energy"}, {"name":"protein"}, {"name":"fat"}, {"name":"carbohydrates"} ]' ></indexeddb-ajax>
Waiting for Query
Start
Paging first record indicator. This is the start point in the current data set (0 index based - i.e. 0 is the first record).
Length
Number of records that the table can display in the current draw. It is expected that the number of records returned will be equal to this number, unless the server has fewer records to return. Note that this can be -1 to indicate that all records should be returned (although that negates any benefits of server-side processing!)
Sort Column
Descending
Column by which to sort the records.
Loading
{{dataSize}} Total Records
{{data.length}} Records Returned


The primitiveDefs package is a set of classes which describe and represent
the primitive definitions found at the end of XDLRC report files. Serialized
data structures representing the set of primitive definitions for a particular
family of devices are created during installation to populate these classes.
See
Technical Report and Documentation for more information.