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- 1 of 1 Photos | View More Photos
PILGER, Neb. (AP) -- As two giant tornadoes bore down on this tiny farming town in northeast Nebraska, Trey Wisniewski heard the storm sirens, glanced out at the blackening sky and rushed with his wife into their basement.
"My wife was holding our animals, and I was holding on to my wife. We could feel the suction try to pull us out of there," he said Tuesday.
Suddenly, their house was gone, leaving them to dodge debris that rained down upon them. And then, the storm that hit so suddenly Monday afternoon was gone, allowing them to emerge and see what was left of the 350-person farming town of Pilger.
They found that much of the community was gone and two people had died. The disaster, delivered by twin twisters rare in how forcefully they travelled side by side for an extended period, left some townsfolk doubting whether the town could rebuild, even as they marveled that the death toll hadn't been worse.
"This is by far the worst thing I've ever seen as governor," said Gov. Dave Heineman, who flew over Pilger in a helicopter Tuesday morning and then walked through the town, trailed by reporters.
One of those killed was a 5-year-old girl, Calista Dixon, said Stanton County Sheriff Mike Unger. Cody Murphree, the girl's brother, said in a statement that his mother, 42-year-old Kandi Murphree, was in a medically induced coma in Omaha after the tornado destroyed their home.
The other fatality was a motorist killed during the storm, David A. Herout, 74, of Clarkson, Nebraska. He died in Cuming County, a few miles east of Pilger.
At least 19 people were taken to hospitals.


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From a media release:
The Monument
ISÔKO Theatre (Rwanda)
Directed by Jennifer H. Capraru
April 27 - May 1, 2011 | $45 | York Quay Centre | 70 min.
North American Premiere
A profound excavation into the nature of forgiveness.
In this electrifying drama, a young soldier has been convicted of war crimes committed during a genocide. Just as he is about to be executed, a mysterious woman who is both his saviour and tormentor offers him freedom − at a price.
The Monument, by Canadian playwright Colleen Wagner, has been translated into several languages and has won the Governor General's Award for Drama. The play is a torpedo aimed directly at the nature of evil as it dissects the roles of victim and perpetrator in unflinching detail. Intimately staged with song and African drumming, this highly physical and imagistic production puts its finger on the pulse of humanity as it paints a contemporary portrait of a country whose resilient voice continues to be a beacon of hope and reconciliation.
This World Stage presentation marks the first time Rwanda's ISÔKO Theatre, founded by Capraru, will perform in Canada. Jennifer Capraru founded ISÔKO Theatre shortly after working on the Canadian feature film Shake Hands with the Devil in Rwanda in 2006. As the artistic director of ISÔKO she continues to work closely with Rwandans to build an ensemble and an audience for modern Rwandan theatre, while stimulating dialogue on reconciliation, creating inter-cultural exchange, and providing training for emerging Rwandan playwrights, actors, directors and designers. Capraru is also the artistic director of Theatre Asylum in Toronto.
There will be a post-show Q & A following each performance, a remarkable opportunity for ticket holders to speak with the performers on their very first visit to Canada; and learn of their personal histories as artists, creators and survivors of the 1994 genocide.
"I call for not soldiers, but for an army of artists, teachers and caregivers to flood the country."
-General Roméo Dallaire
Performed in Kinyarwanda with English surtitles.
Translated by Emmanuel Munyarukumbuzi and Anselme Nirere.
With Jackeline Umubyeyi, Jean Paul Uwayezu, Ruth Shanel Nirere,
Solange Liza Kamikaze
Mise-en-scène Jennifer Herszman Capraru
Lighting Design Sandra Marcroft
ISÔKO Theatre is an intercultural company founded in 2008 and based in Kigali, which uses contemporary theatre to contribute to civil society, social development and creative economy in Rwanda.
Produced in association with Theatre Asylum Canada which produces thought provoking contemporary theatre by and about women and Jewish identity from the international repertoire.
The Monument
ISÔKO Theatre (Rwanda)
April 27-30 at 8 p.m., matinee performance May 1 at 2 p.m.
Post-show Q & A to follow each performance
Approximate running time: 70 minutes
Post-show Q & A to follow each performance
My blog talks about global culture, arts
and travel - and the ways
they intersect
You can also read my pieces at:
• The Huffington Post
• Okayafrica.com &
• Myentertainmentworld.ca
Saturday, April 23, 2011
Canadian Début: Rwanda's ISÔKO Theatre in Toronto April 27 - May 1
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subset: commoncrawl


text:
Silver Bulls Encouraged by Latest COT Report
Better-than-expected nonfarm payroll numbers for the US economy, a bailout for the troubled Franco-Belgian bank Dexia and hopes of a "comprehensive package" from France and Germany to deal with the European sovereign debt crisis by the end of this month have lifted hopes (temporarily at least) at stock and commodity markets. Gold, silver, platinum and palladium prices have all moved higher during the Asian trading session, with gains also seen in copper, crude oil and corn futures – signs of growing bullishness among traders.
That said, volatility and uncertainty remain the hallmarks of commodity and equity markets at the moment. Any remotely bearish news on Europe will immediately result in selling in commodity and equity markets, and renewed strength in the US dollar (which has moved lower today as a result of increasing – albeit fragile – confidence in Europe). As far as gold and silver prices are concerned, both of these metals are continuing to consolidate. $1,680 per ounce remains a key resistance level for gold at the moment, with strong buying support evident around $1,600. Silver is well supported below $30, but keeps stalling on attempts to reach $33.
Open Interest in Comex gold and silver futures has declined notably in the last few weeks, which as Dan Norcini notes in his latest King World News interview is indicative of the volatility affecting these markets at the moment, which has scared many small and even large speculators out of the market.
As reported on this site last Monday, silver has seen an especially large drop in the net-short positions held by the entities classified by the US government's Commodity & Futures Trading Commission as "commercial" – that is, producers and silver merchants, including some of the largest banks in the country. All told, as the GotGoldReport notes, the large-commercial net short position in Comex silver futures is now at its lowest level since April 1 2003. Back then, the silver price stood at just $4.43 per ounce.
What does this mean for the silver price in the short-term? Anything is possible – more bad news from Europe (possibly linked to the Slovak parliament not agreeing to increase funding for the European Financial Stability Facility, something which needs agreement from all eurozone parliament's could once again derail silver's advance, and send it back below $30. But as the GotGoldReport states – and the key takeaway for silver bulls from these very low net-short positions:
"As of Tuesday, the largest, best funded and presumably the best informed commercial traders of silver futures continued to get much "smaller" in their net short positioning for silver futures. There can be no doubt that the commercials view the current downdraft for silver as a silver plated opportunity to very strongly reduce their short bets in the leveraged paper silver contracts."
That is, the largest and best-informed players in the silver futures market think that there's not much downside to the silver price from here. Those people still holding net-short positions in silver futures may be in for an unpleasant surprise before too long.


text:
Right on the Money.
Take the wheel of the all-new Tige R20 and you'll realize that it is far more than basic. The R20 offers Tige's tradition of innovation, versatility and quality with a pocket friendly price tag. Designed with both towing and performance in mind, the 20-footer is easy to tow, easy to own and an absolute blast to ride.
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- Surf XL Ballast
- The Tige R20 has been highly calculated to give you a turnkey experience with up to 1,600 lbs of ballast. The Surf + Wake XL Ballast throws the right size wave and wake for every rider regardless of the number of passengers.
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With our unique color options, materials, and details, you can create your own signature style. Mix and match standard and vivid metal flake gelcoat options with vinyl selections to keep it classic, or take your shot at being on the cutting edge.


text:
What is JotForm?
JotForm is a free online form builder which helps you create online forms without writing a single line of code. No sign-up required.
At JotForm, we want to make sure that you're getting the online form builder help that you need. Our friendly customer support team is available 24/7.
We believe that if one user has a question, there could be more users who may have the same question. This is why many of our support forum threads are public and available to be searched and viewed. If you'd like help immediately, feel free to search for a similar question, or submit your question or concern.
Still having issue with my salesforce leads integrationAsked by tiara2012 on July 15, 2016 at 10:17 AM
all forms filled as advised but still no leads
form on jotform is called
REAP Home Ownership Registration Form
JotForm Support
I can see you have opened other threads to post the same issue, you've already got replies from our Support Reps.
I've found these threads that you've opened today about this:
Now, I have also tested your form and integrated with SalesForce like my colleagues, I can see that using the fields you're using it does not work.
But when you use the correct fields it works fine, you're currently asking for the name in separated fields, email address in a plain text field and you've not your company field.
I would suggest you to map the fields as they are in the Form Builder, so you should use the Full Name, Email address and Text Box fields to map on your integration.
Please try following this advice, and reply to this thread opening this link on your web browser: https://www.jotform.com/answers/883436
Replying here will help us to better assist you, so please do not open another thread.
We will wait for your response.


text:
The Home Physical Activity Environment and Adolescent BMI, Physical Activity, and TV Viewing: Disparities Across a Diverse Sample
- First Online:
- Received:
- Revised:
- Accepted:
- Citations
- 453 Downloads
Characteristics of the home and family have been associated with adolescents' BMI and physical and sedentary activity, but few studies have examined how these characteristics vary across ethnic/ethnic groups. This study explores whether recommendations for activity promotion are equally relevant to different adolescent populations.
Participants included 2,374 adolescents and their parent(s), recruited through 20 public schools in Minneapolis/St. Paul, MN, in 2009–2010. Ethnic/racial groups included African American, Asian (primarily Hmong), East African, Hispanic, Native American, White, and mixed/other race. Linear regression analysis modeled adolescents' BMI z-scores and physical and sedentary activity based on six measures of the family/home activity environment, adjusted for covariates. Interactions of ethnicity/race and family/home environment were tested.
All six family/home environment measures varied significantly across ethnicity/race. Family/home variables were significantly associated with adolescent physical activity and TV viewing in the expected directions, and these relationships were consistent across ethnic/racial groups in two thirds of the models. However, in one third of the cases, these associations were modified by ethnicity/race. For example, home access to a greater number of media devices was significantly associated with more TV viewing (β = .40, p = .015) only among White youth.
Health promotion recommendations for adolescent physical activity are largely relevant across ethnic/racial groups. However, given differences found in the family/home environments of adolescents, cultural sensitivity is recommended in discussing these issues, and tailored recommendations may be appropriate for select groups or behaviors. Further mixed methods research is warranted to help identify key messages for specific groups.
KeywordsAdolescents Weight Physical activity Sedentary activity Family
The high prevalence of obesity among youth and the growing disparities across population subgroups are of great public health concern [1, 2, 3]. In particular, substantial differences in body mass index (BMI) are evident across ethnic and racial groups. According to the Youth Risk Behavior Surveillance Study (YRBSS), 13 % of high school students in the USA are categorized as obese and an additional 15 % are overweight with higher prevalences among Black and Hispanic students than among White students [4]. In our previous work, we found the prevalence of obesity among Hispanic, Asian (primarily Hmong), and Native American adolescent boys to be over one third, compared with only 18 % among White adolescent boys [5]. The National Institutes of Health and expert committees have called for research to identify reasons for these disparities and inform prevention efforts [6, 7].
Inadequate physical activity contributes directly to risk for obesity and the development of chronic conditions such as hypertension and type 2 diabetes [8]. Most adolescents do not meet public health recommendations for physical activity and exceed recommendations for time spent in sedentary activity; again, racial and ethnic differences are apparent [4, 9, 10, 11]. Nationwide, less than one third of adolescents participating in the YRBSS had engaged in vigorous activity for at least 60 min per day in the week before the survey, and Black and Hispanic students were less likely than White students to engage in this healthy behavior [4]. Similarly, one third of students watched 3 or more hours of television on an average school day, and Black and Hispanic students were more likely than Whites to engage in this unhealthy behavior (the vigorous physical activity and hours of television of other ethnic/racial groups were not compared) [4].
Social ecological models suggest that factors at multiple levels, including the neighborhood, school, family, peer, and individual, influence adolescents' health behaviors [12, 13, 14]. In particular, characteristics of the home and family environment have been associated with adolescents' weight [15] and physical and sedentary activity [16] in our previous work as well as in other research [9, 17, 18, 19, 20, 21]. Parents' activity levels (which includes modeling of physical activity) have been consistently positively associated with youth physical activity [20, 22]. In our previous research, which comprehensively explored personal, friend, family, school, and neighborhood correlates of adolescent physical activity, characteristics of the family environment explained more variance in adolescents' moderate-to-vigorous activity levels than more distal ecological factors such as characteristics of school and neighborhood environments [16], setting the stage for the present study. Few studies have examined how home and family qualities such as providing support and resources (e.g., equipment) for activity may vary across ethnic and racial groups, or how their associations with activity may be moderated by race [23, 24, 25]. Ness and colleagues [2012], for example, found significantly more parental physical activity reported among Native American parents than White parents. Bauer and colleagues [2011] also found that parents of Asian (primarily Hmong) girls reported more support for physical activities than those in other groups. Different norms, values, religious practices, or other features of ethnic/racial communities may vary across groups and may affect parent support for their children's physical activity. A key remaining question is whether public health recommendations to enhance physical activity are equally relevant across ethnic/racial groups. Examining disparities in physical activity risk and protective factors for obesity in the homes of adolescents will provide useful information to better guide the development of interventions and recommendations for diverse families.
The present study, therefore, builds on previous work indicating the importance of home and family factors for adolescent physical activity and addresses two main research questions. First, are there differences across ethnic/racial groups in the family/home environments of adolescents with regards to parental modeling, supporting, and providing equipment for physical and sedentary activity? Second, are observed associations between the family/home environment and adolescents' BMI and physical and sedentary activity consistent across ethnic/racial groups? Uncovering answers to these questions will provide evidence to support culturally tailored recommendations to promote healthy activity levels in youth or, conversely, will indicate if existing recommendations are appropriate for diverse population groups.
Study Design and Sample
Data come from two linked cross-sectional, population-based studies, EAT 2010 (Eating and Activity in Teens) and Project F-EAT (Families and Eating and Activity in Teens), addressing BMI, dietary intake, activity, and related factors among adolescents. The EAT 2010 sample includes adolescent participants from 20 public middle and high schools in urban areas of Minnesota, which serve racially and economically diverse communities. During the 2009–2010 school year, 2,793 adolescents completed written surveys and had height and weight measured by trained research staff during required classes. Among adolescents who were at school on the days of survey administration, 96.3 % had parental consent and chose to participate. As part of the EAT 2010 survey, participants were asked to provide contact information for up to two parents or guardians, and these adults (described here as parents) were mailed invitations to participate in Project F-EAT within 3 months of student survey completion. Project F-EAT written surveys were completed by 3,709 parents; 85 % of adolescents had at least one parent respond, and among those who provided information on two parents, 68 % had both parents participate. The University of Minnesota's Institutional Review Board (for EAT 2010 and Project F-EAT) and research boards of participating school districts (for EAT 2010) approved all study protocols. Additional details of the design of these two studies are available elsewhere [5, 15, 26].
Characteristics of adolescent sample, N = 2,374 (mean age = 14.4)
African American
East African
Native American
Parent education
Less than high school
High school/GED
Some college/training
Finished college
Advanced degree
Surveys and Measures
The EAT 2010 survey was designed by the research team to assess numerous factors relevant to weight and related behaviors [5]. This instrument was modeled off the original Project EAT survey [30, 31] and included additional items. The full survey was pretested by 56 adolescents from diverse backgrounds to determine readability and relevance of new items and was reviewed by a team of experts in adolescent development, health disparities, nutrition, physical activity, and family relations. Following modifications based on initial feedback, the revised survey was pilot-tested with 129 adolescents and 1-week test-retest reliability was assessed. Final revisions to the survey were based on pilot test feedback and reliability findings.
The F-EAT survey was designed using similar methods. Items were drawn from the original Project EAT parent survey [32, 33], corresponding measures from the EAT 2010 survey, existing measures from the published literature, and newly created items to meet the study aims. Bicultural staff from the Wilder Research Foundation (www.wilderresearch.org) reviewed early drafts and provided feedback on cultural appropriateness for the ethnic/racial groups participating in the study, and three focus groups with a diverse sample of 28 parents were used to pretest the survey. The survey was finalized based on feedback from these groups. Two-week test-retest reliability was assessed by inviting a subset of parent participants to retake the survey for an additional incentive (n = 102). The final written F-EAT survey was professionally translated into Spanish, Somali, and Hmong, and these versions were sent to parents when the EAT 2010 participant indicated that the primary language spoken at home was not English. The survey was also administered by phone in Karen, Oromo, and Amharic as needed (n = 5).
Adolescent ethnicity/race was assessed on the EAT 2010 student survey with the item, "Do you think of yourself as (1) white, (2) black or African American, (3) Hispanic or Latino, (4) Asian American, (5) Hawaiian or Pacific Islander, (6) American Indian or Native American, or (7) other," and respondents were asked to check all that apply (test-retest agreement = 98–100 %). A second item was used to distinguish African Americans from other African groups: "Is your background any of the following?" Response categories included "Hmong, Cambodian, Vietnamese, Laotian, Somali, Ethiopian, Other, and none of the above" (test-retest agreement = 92 %). Those responding Somali or Ethiopian comprised a separate East African group, due to different cultural norms and the needs of these immigrant populations in the local area. Participants who indicated that they were White and another group were coded as the other group; those reporting more than one non-White group were coded as "mixed/other" for analysis, as in our previous work [5]. A very small number reported a Hawaiian or Pacific Islander background and were included in the mixed/other group.
Independent Variables: Family/Home Activity Environment
Six measures of the family/home environment were drawn from the F-EAT survey, to capture modeling, support, and equipment for both physical activity and television use. Parental modeling (i.e., parental hours of physical activity) was measured with two items from the Leisure Time Exercise Questionnaire [34] assessing hours of moderate (e.g., walking quickly, easy bicycling, and strength training) and vigorous physical activity (e.g., biking fast, running/jogging, and swimming laps) in a usual week (test-retest rmoderate = .56; test-retest rstrenuous = .75). Six responses ranged from 0 to 6 or more hours. These items have been significantly associated with standard activity and physiologic measures in reliability and validity studies with community samples of adolescents and adults [34, 35]. Responses were coded as the midpoint of the given range, e.g., ½ to 2 h a week was coded as 1.25 h for analysis, and responses for moderate and vigorous activity (MVPA) were summed.
Two items were summed to reflect parental hours of supporting physical activity of their adolescent: "In a typical week, how many hours do you spend… Being physically active with your child (e.g., throwing a ball around, taking a walk or bike ride together)? Helping your child to be physically active (e.g., driving them to the gym or sport practice, watching them play a sport)?" (test-retest ractive = .58; test-retest rhelping = .62; Cronbach's alpha for two items = .65). Response options ranged from 0 to 6 or more hours and were re-coded as for physical activity. These items were combined into a single scale to be consistent with previous studies [36, 37, 38] and based on factor analysis indicating shared variance [38].
Five items were used to measure access to physical activity equipment in the home: "Do you have the following items in your home, yard, or apartment complex that would be available to your child? Stationary aerobic equipment; bicycle, skateboard, scooter, rollerskates/blades; basketball hoop; weight lifting equipment; interactive video games such as Wii Sport®, Wii Fit®, and Dance Dance Revolution® (yes/no for each; test-retest agreement ranged from 80–89 %). Responses were summed to indicate 0–5 items. These items were drawn from the Physical Activity and Media Instrument (PAMI), which has been shown to be a valid and reliable tool for assessing obesogenic home environments [39].
Parental total hours of TV viewing was measured with one item, "On an average day, how many hours do you spend watching TV, DVDs, or videos?" (test-retest r = .78), adapted from an existing reliable measure of adult sedentary activity [40]. Responses ranged from 0 to 5 or more (coded as 6 h for analysis) and were multiplied by 7 for weekly hours. Parental hours of TV viewing with their child was measured with one item, "In a typical week, how many hours do you spend…watching TV/movies together with your child?" (test-retest r = .53). Response options ranged from 0 to 6 or more hours per week and were re-coded as for physical activity.
Parents were asked how many they had of a variety of media devices in the home, including TV, VCR, or DVD player; TiVo® or Digital Video Recorder; computer or laptop; and video game system (test-retest correlations ranged from .73 to .90). Responses for each device were 0–4 or more, and TiVo®/DVR was truncated to 2 or more as this service typically works on multiple televisions. Items were summed for a single media device measure. Media device items also came from an existing instrument with acceptable psychometric properties [39].
Data from one parent was used to create each family/home variable. In cases where two parents responded to surveys, weekly hours of physical activity, supporting physical activity, total TV viewing, and TV viewing with child were taken from the parent with the higher value, on the premise that one parent providing this modeling or support (e.g., driving to soccer practice) was the construct of interest. Responses from two parents could not distinguish between activities done together (e.g., watching TV as a family) or separately and would greatly overestimate parental time spent doing physical activity or watching TV for adolescents with two parents reporting. Such overestimation would bias the analysis, as the proportion of adolescents with one versus two parents responding differed significantly across ethnic/racial groups (36.4–69.2 %, Χ2 = 169.3, p < .001). In contrast, reports on the number of physical activity items and media devices in the home were taken from the primary parent, on the assumptions that responses should not vary by reporter and the primary parent had accurate knowledge of the resources in the adolescent's home.
Dependent Variables: Adolescent BMI, Physical Activity, and TV Viewing
Three dependent variables were used in this analysis. Adolescent BMI was calculated from height and weight measurements obtained by study staff during in-school survey completion [weight in kilograms/(height in square meters)]. Using standardized procedures and calibrated instruments, weight to the nearest .1 kg was measured without shoes, heavy outerwear, or other items (e.g., wallets), and height was assessed to the nearest .1 cm. BMI was converted to z-scores, standardized for sex and age, for statistical analysis.
Adolescent hours of moderate-to-vigorous physical activity (MVPA) were measured using the Leisure Time Exercise Questionnaire; responses and coding were the same as described above for parents although example activities were modified somewhat to ensure relevance for the adolescent participants (test-retest r = 0.73) [35]. Adolescent hours of TV viewing were assessed with two items asking about hours spent watching TV, DVDs, or videos on an average weekday (Monday–Friday) and weekend day (Saturday or Sunday). Seven response options ranged from 0 to 5+ hours (coded as 6 for analysis) and combined to estimate weekly hours of viewing (test-retest r = 0.67). These items were adapted from an existing television and video use measure which was moderately correlated (r = 0.54) with a 24-h recall [41].
Adolescent gender and age were used as covariates in all analyses. Five levels of parental education reflected the higher level of education reported by either parent (less than high school, high school or general equivalency diploma (GED), some college or training after high school, finished college, or advanced degree).
Data Analysis
Family/home environment variables, adolescent dependent variables, and covariates were described using means and frequencies. Analysis of variance was used to examine differences in family/home environment variables across the seven ethnic/racial groups (both with and without adjustment for parent education, which was strongly associated with ethnicity/race bivariately, Χ2 = 680.3, p < .001), and post hoc tests compared each ethnic/racial group to each other group. Significant differences (p < .05) among groups are noted in tables with alphabetic superscripts (those sharing a letter are not significantly different from each other). Multiple linear regression analysis modeled each continuous dependent variable based on each family/home environment variable, separately, adjusted for ethnicity/race, gender, age, and parent education.
In order to determine if the observed associations between family/home environment variables and each dependent adolescent variable were consistent across the seven ethnic/racial groups, interaction terms were added to each regression model (ethnicity/race by environment variable). In cases where p values for these interaction terms were < .10, models were re-run stratified by ethnicity/race, adjusting for covariates. A more generous threshold than usual was selected (p < .10) to permit a thorough exploration of trends across ethnic/racial groups, including those with smaller numbers.
Family/Home Environment and Adolescent BMI, MVPA, and TV Viewing
Adolescent BMI, adolescent and parent activity, and family/home environment variables
Mean (SD)
23.7 (5.6)
Weekly hours of MVPA
5.8 (4.8)
Weekly hours of TV viewing
17.1 (12.0)
Weekly hours of MVPAa
5.1 (4.5)
Weekly hours of supporting child's activitya
3.4 (3.4)
Number of physical activity equipment items in the homeb
2.3 (1.4)
Weekly hours of TVa
17.1 (11.6)
Weekly hours of TV viewing with childa
2.8 (2.2)
Number of media devices in the homeb
7.7 (3.3)
Associations between parental and home environment and adolescent BMI, physical activity, and TV viewing (adjusted for gender, age, ethnicity/race, parent education)
Adolescent BMI z-score
Adolescent MVPA
Adolescent TV viewing
Physical activity environment
Parent's weekly hours of MVPA
β = .008, p = .123
β = .09,p < .001
β = .03, p = .608
Parent's weekly hours of supporting activity
β = .006, p = .355
β = .22,p < .001*
β = −.11, p = .123
Number of physical activity items in the home
β = −.010, p = .551
β = .23,p < .001~
β = −.05, p = .795
Media environment
Parent's total weekly hours of TV
β = .005,p = .016
β = .00, p = .846~
β = .11,p < .001
Parent's weekly hours of TV viewing with child
β = .018, p = .078~
β = .06, p = .192
β = .54,p < .001
Number of media devices in the home
β = .010, p = .179
β = .03, p = .293*
β = .19,p = .017~
Characteristics of Family/Home Environment Across Ethnic/Racial Groups
Parental and home environment characteristics across seven ethnicity/race groups (least squares mean and standard error)
N (of adolescents)
F, p
African American
East African
Native American
Physical activity environment
Parent's weekly hours of MVPA
10.5, p < .001
4.2 (0.20)b
3.6 (0.38)b
5.1 (0.22)a
5.7 (0.51)a,c
6.2 (0.20)c
5.0 (0.28)a
Parent's weekly hours of supporting activity
3.7, p = .001
3.7 (0.15)a
2.9 (0.16)b
2.7 (0.30)b
3.3 (0.17)b,c
3.6 (0.21)a,c
Number of physical activity items in the home
28.5, p < .001
2.3 (0.06)a
2.0 (0.06)b
1.5 (0.12)c
2.0 (0.07)b
2.7 (0.16)d
2.8 (0.06)d
Media environment
Parent's weekly hours of TV
45.1, p < .001
22.1 (0.47)a
13.9 (0.51)b
9.5 (0.96)c
15.0 (0.55)b,d
19.7 (0.69)e
Parent's weekly hours of TV viewing with child
17.1, p < .001
3.2 (0.09)a
2.4 (0.10)b
1.6 (0.19)c
2.5 (0.11)b
3.5 (0.25)a
2.8 (0.10)d
3.2 (0.13)a
Number of media devices in the home
43.8, p < .001
8.2 (0.13)a
7.2 (0.14)b
4.8 (0.27)c
6.8 (0.15)d
8.9 (0.14)e
8.0 (0.19)a
No consistent patterns emerged among groups with regards to their family/home environments being more or less health promoting. For example, East African and Asian parents reported the least healthy activity environments but also had the healthiest media environments. This lack of consistency was visible even within domains: White parents had among the highest number of weekly MVPA hours and the most physical activity equipment, but their hours of supporting their adolescent's physical activity were not significantly greater than most other groups.
In order to confirm that these associations were not due largely to differences in parental education (a proxy for economic status) across ethnicity/race, ANOVAs were re-run adjusting for parental education. The pattern of results was very similar in adjusted and unadjusted models.
Effect Modification by Ethnicity/Race
Associations between family/home environment characteristic and adolescent BMI, MVPA, and TV viewing, by ethnicity/race (adjusted for gender, age, and parent education)
Adolescent BMI
Adolescent MVPA
Adolescent TV viewing
Parent's TV viewing with child
Parent's supporting activity
Number of activity items
Parent's total hours of TV
Number of media devices
Number of media devices
African American
β = .046,p = .024
β = .20,p < .001
β = .29, p = .052
β = −.01, p = .492
β = −.02, p = .789
β = .12, p = .486
β = .021, p = .379
β = .16,p = .020
β = .43,p = .007
β = −.03, p = .115
β = .06, p = .352
β = .16, p = .371
East African
β = .108, p = .088
β = .08, p = .532
β = .48, p = .098
β = −.03, p = .532
β = −.13, p = .390
β = .61, p = .154
β = . − .009, p = .717
β = .12,p = .050
β = .43,p = .010
β = −.02, p = .352
β = .14, p = .055
β = .31, p = .119
Native American
β = −.044, p = .452
β = .07, p = .563
β = −.10, p = .675
β = .08,p = .046
β = .15, p = .290
β = −.56, p = .131
β = .032, p = .158
β = .42,p < .001
β = −.23, p = .194
β = .02, p = .385
β = −.12, p = .085
β = .40,p = .015
β = −.047, p = .141
β = .33,p < .001
β = −.03, p = .913
β = .03, p = .320
β = .21,p = .048
β = −.29, p = .254
Associations Between Media Devices in the Home and Adolescent BMI z-score in Stratified Models
Parental hours of TV viewing with their child was significantly related to adolescent BMI z-score among African American youth (β = .046, p = .024), and these variables were marginally associated among East African youth (β = .108, p = .088) in the expected direction. Of note, the slope estimates for Native American and mixed/other race youth were similar in magnitude to that of African American youth (β = −.044 and − .047) but were contrary to hypotheses. These estimates did not approach statistical significance, possibly due to relatively small numbers in these groups.
Associations Between Parent Support for Physical and Sedentary Behaviors and Adolescent MVPA in Stratified Models
Associations between adolescent MVPA and parents' support, physical activity equipment in the home, parents' total hours of TV, and number of media devices all varied by ethnicity/race. Parental support for their adolescent's activity was significantly associated with the adolescent's MVPA hours in most (African American, Asian, Hispanic, White, and mixed/other) but not all ethnic/racial groups. In contrast, the availability of physical activity equipment was significantly associated with the adolescent's activity hours only among Asian and Hispanic youth (although again, East African youth had a similar slope estimate, β = .48 that did not achieve statistical significance in this sample). Parents' total hours of TV viewing were significantly related to adolescent MVPA only for Native American youth (β = .08, p = .046) and in the opposite of the expected direction. Similarly, having more media devices in the home was significantly associated with more MVPA among adolescents of mixed/other race (β = .21, p = .048).
Associations Between Media Devices in the Home and Adolescent TV Viewing in Stratified Models
For White youth, having more media devices in the home was associated with more TV viewing (β = .40, p = .015). Associations between media devices and TV viewing did not achieve statistical significance in other ethnic/racial groups, but similarly large slope estimates were found for East African (β = .61) and Native American youth (β = −.56).
Findings from this study indicate significant differences in the family and home characteristics of adolescents across seven different ethnic/racial groups, which supports limited previous studies [23, 24, 25], but do not point to any groups with consistently health-promoting environments with regards to activity. Generally speaking, a positive physical activity environment—characterized by parental modeling and support of physical activity and the presence of equipment—was associated with more MVPA among adolescents. Likewise, an environment of modeling and availability of equipment for media viewing was associated with more TV viewing time. For most models, interactions with ethnicity/race were not statistically significant. Therefore, while this study identified differences in the home environment across ethnicity/race, most associations between the environment and levels of activity in adolescents did not differ across ethnic/racial groups. These results suggest that most types of health promotion recommendations related to the home and family environment are relevant for diverse youth populations.
However, for some associations, particularly adolescent MVPA, several interactions between family/home variables and ethnicity/race were observed. These stratified models did not show a consistent pattern of stronger or weaker associations in any particular group; rather, findings from these models typically included a statistically significant relationship for one or two different groups in each model, including several findings in the opposite of the expected direction. The differences in statistical significance of associations across groups may be due to relatively small numbers in select ethnic/racial groups (e.g., Native American, n = 76, and East African, n = 132) or differences in standard errors for family/home environment variables across groups, or may be spurious results in a large number of tests. This pattern of findings may, however, reflect genuine differences in the role that family/home environment characteristics contribute to MVPA and media use among youth. For example, the presence of media devices in the home may not relate to more TV viewing among most minority groups in the way it does for White adolescents in the present sample and elsewhere [9, 18]. Further qualitative and quantitative research with diverse samples of adolescents and their families would be useful to understand nuances in the role of physical activity in different cultures and within different home environments. For example, an important first step would be to learn how different cultures interpret the idea of "support" for physical activity. Such qualitative work would contribute to better measurement of physical activity constructs in the home environment and eventually allow for tailored recommendations for health promotion, which may be an important tool for health professionals working with youth.
Socio-economic differences may account for the number of media items and the amount of physical activity equipment in the home, and these measures were correlated with each other. Survey questions were worded to include "home, yard, or apartment complex" to capture a range of living situations, and models were adjusted for parental education as a measure of socio-economic status. However, these steps may not have fully accounted for differences across groups, which may contribute to this study's mixed findings. That is, families with limited discretionary income may purchase equipment only when need is great or there is a high likelihood of frequent use by family members; families with greater resources may make such purchases more frivolously. For example, the presence of activity equipment in the homes of Asian and Hispanic youth (and African American and East African, though not significantly) was associated with more physical activity; on average, these groups have lower education and greater poverty than White families in the area in which this study was conducted [42]. Further research with more comprehensive assessment (e.g., in-home qualitative interviews) of influences within the home physical activity environments of minority families is warranted to disentangle these issues [43].
Beyond differences in economic status, additional neighborhood or community characteristics may influence adolescents' weight and related behaviors and may operate through their influence on the family/home environment, in keeping with the social ecological models on which this work is based [12, 13, 14]. Minnesota schools are highly segregated with regards to ethnicity/race [44]. Indeed, in the present dataset, 25 % of Native American students came from a single school (out of 20 participating schools), over half of East African students were sampled from two schools, and almost two thirds of Hispanic students came from five schools. The physical and social environments in which families are situated may affect physical activity and related behaviors among parents and adolescents, for example, by offering safe public parks, organized sports teams, proximity to gyms or other active recreational spaces such as bike paths, and a low crime rate [45]. Disentangling the complex mix of characteristics in neighborhoods, ethnic/racial communities, families, and individuals presents a substantial challenge; due to the distribution of race groups across participating schools, such an analysis was not feasible in this study. Future studies with diverse samples in more integrated communities will be important for understanding the unique role of the family/home environment aside from community influences.
In this examination of ethnicity/race, BMI and activity, immigration and degree of acculturation to mainstream US culture may also be relevant [24, 46]. Immigrants and refugees typically arrive to the USA with healthier behaviors than the average American, but overtime, their health risks often reach or exceed that of the general US population [47, 48]. One reason for this disparity is lower physical activity among first- and second-generation immigrants than more acculturated third-generation and non-immigrant populations [49, 50, 51, 52]. Access to resources, adolescents' role in the family, and social norms around activity may differ and contribute to the lack of activity. Because immigrant status was almost fully confounded with ethnicity/race (only Hispanic, Asian, and East African groups had a sizable proportion of youth born outside the USA), this construct was not included as a covariate in analytic models. Additional qualitative research may be particularly beneficial in understanding the role of acculturation and culture in the family/home environment for physical activity [53, 54].
Limitations and Strengths
This study makes use of a large and diverse sample of adolescents and their parents, with adequate numbers of participants in seven ethnic/racial groups for statistically valid analysis. As most studies of ethnic/racial differences in this area compare only two to three groups [10, 11, 23, 46, 54, 55, Thul et al. Physical activity comparisons among Minnesota adolescents of Somali, other non-Hispanic Black and White racial/ethnic backgrounds, Under review], this sample provides an advantage over much of the existing work. Data collection included surveys of both the adolescents and their parents, which is a novel strength, and investigator-measured BMI was used rather than self-report for the adolescent outcome. The range of family/home environment measures of relevance to both MVPA and TV viewing—reflecting modeling, support, and physical resources—is also an advantage, as it permits exploration of various elements of the overarching construct of the physical activity environment, which can result in specific and concrete health promotion recommendations.
However, this study is also subject to several limitations. While broad, items measuring the home environment may also have limitations. Specifically, items measuring family support for adolescent physical activity and sedentary behaviors were not standardized measures nor were they validated for diverse ethnic/racial populations. In addition, many of the home environment constructs were measured with single items. However, these items were taken from previous surveys which found high test-retest reliability in these items [56] and were pilot-tested with diverse samples of parents and adolescents. Additionally, all items (with the exception of adolescent BMI) were assessed via self-report. Although several items were drawn or adapted from existing instruments with acceptable reliability and validity [34, 35, 36, 37, 38, 39, 41], they were not validated through objective measurements in the present study. Objective measures of these items would potentially be more valid. Although the sample was adequate to test for differences even in relatively small ethnic/racial groups, some groups were too small to permit deeper analyses examining gender differences within ethnic/racial groups, the possible importance of matched parent/child gender for modeling or support across groups, or the significance of discordant responses from two parents. Differences in sample size and heterogeneity by ethnicity/race may also have limited our ability to detect significant associations in the present study. Finally, the cross-sectional nature of the study design limits interpretation; while the provision of parental support or equipment may contribute to activity in youth, it is also possible that adolescents' interest and involvement in activities lead to parental support (such as driving to events) or purchase of relevant equipment.
In general, findings from the current study indicate that health promotion recommendations regarding modeling and supporting physical activity rather than TV viewing are relevant for adolescents without regard to racial or ethnic background. However, health care providers or other professionals working with families and adolescents, advising families on particular health behaviors (such as increasing MVPA), or working with specific ethnic/racial groups may take note of several ways in which associations between the home environment (e.g., the presence of media devices) and behavior differ across ethnic/racial groups, suggesting the importance of cultural sensitivity in discussing these topics, and taking time to explore attitudes and practices around activity in the home and family. Culturally tailored recommendations may be appropriate for select issues and audiences. For example, limiting the number of media devices available in the home may be an especially important strategy regarding TV time among White youth. Also, recommending different types of physical activity to do in the home may be appropriate for East African, Asian, or Hispanic adolescents, who tend to have less in-home physical activity equipment or who may particularly benefit from alternative suggestions for being physically active on a family level (e.g., family walk and family game participation such as soccer).
In addition, future research on the home physical activity environments of diverse families would benefit from mixed methods studies. Utilizing objective measures of equipment within the home physical activity environment and exploring a greater number of family/home influences on weight and activity (e.g., sibling behaviors and responsibility for work around the home) will strengthen this body of work. Qualitative interviews to get families' own perspectives about specific activities of interest, cultural values surrounding sport and activity, perceived barriers to physical activity, and the perceived mechanisms underlying associations found here would yield a more comprehensive picture of the homes of diverse families and aid in the development of tailored, culturally sensitive recommendations. Finally, structural barriers such as economic status intersect with ethnicity/race to limit family-level physical activity. Understanding how this mechanism operates across ethnic/racial groups is imperative for creating successful health promotion interventions.
This project was supported by the National Heart, Lung, and Blood Institute under grants R01HL084064 and R01HL093247 and by the Children's Discovery Fund of the University of Minnesota's Department of Pediatrics. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the University of Minnesota. The funding bodies had no role in study design; collection, analysis, or interpretation of data; report writing, or decisions to submit manuscripts.
Conflict of Interest
Marla Eisenberg, Nicole Larson, Jerica Berge, Chelsey Thul, and Dianne Neumark-Sztainer declare that they have no conflicts of interest relating to this research.
Informed Consent Statement
All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2000. Informed consent was obtained from all participants for being included in the study.


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Katy Perry Drunk Dialed Taylor Swift
Who knew that Katy Perry and Taylor Swift were such good friends?
Taylor recently spilled to Just Jared about a drunk-dial that she received from the "Waking Up in Vegas" singer.
Taylor dished about the late-night call, "I wasn't going to say anything about that ever! I don't want to tell secrets!"
Apparently, it was around 3 or 4 am and Katy wanted to leave Taylor a message, but didn't expect Taylor to actually pick up! Katy drunkenly explained to Tay that she wanted to leave her a funny message, so Taylor hung up and let her do her thing.
So, what'd Katy have to say in her hilarious message? Taylor won't spill, but she did say, "It was a very colorful and creative, unique voicemail."
What do you think Katy said on her drunk voicemail? Tell us in the comments!


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Hydrohysteretic Phenomena of "Extremely Diluted Solutions" Induced by Mechanical Treatments: A Calorimetric and Conductometric Study at 25 ∘C
- Received:
- Revised:
- Citations
- 58 Downloads
The purpose of this study was to obtain information about the influence of successive dilutions and succussions (violent shaking) on the structure of water. "Extremely diluted solutions" (EDS) are solutions obtained through the iteration of two processes: 1:100 dilution and succussion. Those two processes are repeated until extreme dilutions are reached, so that the chemical composition of the end solution is identical to that of the solvent. We measured the heats of mixing and the electrical conductivity of basic solutions of such EDS, and compared these results with the analogous heats of mixing and electrical conductivity of the untreated solvent. The measurements were carried out as a function of the age of the samples. We found some relevant exothermic excess heat of mixing, and higher electrical conductivity than those of the untreated solvent, also in function of time. The measurements show a good linear correlation between the two independent physico-chemical quantities, implying a single cause for this behavior of the extremely diluted solutions. The slopes of the linear correlation depend on the age of the EDS. Such a phenomenon could result from a variation of the shape of molecular aggregates that characterize the two different supramolecular structures of the water of different ages. This behavior could provide important support for understanding the nature of the phenomena described herein. A really intriguing phenomenon is the evolution of some physico-chemical properties with time. This hints at a "trigger" effect on the formation of molecular aggregates that result from the succussion procedure. We show that successive dilutions and succussions can permanently alter the physico-chemical properties of the aqueous solvent, the extent of which depends on the age of the samples.
KeywordsCalorimetry conductivity extremely diluted aqueous solutions
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Columbia Sportswear Men's Outdoor Shorts
Take to the great outdoors with dependable, quality men's outdoor shorts. Columbia offers outdoor shorts for men in a wide variety of styles so you can find one that suits your activity of choice and your personal taste. From boating and fishing to golfing and hiking, we have styles that keep up with you and your active lifestyle. Each pair is crafted with attention to detail and fit, using quality fabrics that are lightweight, breathable, and wick away moisture to keep you comfortable and dry. Plenty of pockets let you carry your essentials, and the right amount of stretch allows for easy mobility. We offer men's sportswear shorts in a wide selection of sizes so you can find one that makes you feel and look great, letting you focus on getting the most out of your activity. You can trust Columbia to outfit you with high-performance apparel that's durable and stylish.


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Pirates: Season 1
Set sail for adventure on the high seas with Captain Kid and his crew as they encounter buried treasures, secret lagoons and gorgeous mermaids. Featuring delightful song and dance routines, this animated program offers many great lessons for young viewers. While sailing aboard their ship, The Tantrum, the swashbuckling pirates discover interesting facts about the ocean, practice using their imaginations and do whatever is fun.
Rent DVDs for only $4.99 a month.
Movie Details
- Director
- Wayne Moss, Chuck Rubin
- Genres
- Children & Family, Kids' TV, Kids' Music, Ages 5-7, Ages 8-10
- Format
- Ratings
NRNot rated. This movie has not been rated by the MPAA.
NoClosed captioned
Pirates: Season 1Close
For Parents
Common Sense Note
- Age appropriate
- Not an issue
- Depends on your kid and your family
- Not appropriate for kids of the age most likely to want to see it


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Research and Forecast of Automobile Chassis in China, 2014-2018
|Huidian Research
|英文 83 Pages
商品交期: 最快1-2個工作天內
|中國的汽車底盤市場 Research and Forecast of Automobile Chassis in China, 2014-2018
|出版日期: 2014年08月12日
|內容資訊: 英文 83 Pages
Research and Forecast of Automobile Chassis in China, 2014-2018 deeply analyzes the policy, influence factors, technology, dynamics, market supply and demand, market structure, development trend and key enterprises in automobile chassis industry.
In 2013, the output and sales of automobile in China are 22.1168 million and 21.9841 million, keeping the first place in world. During "the 12th five-year plan" period, the automobile output in China will be up to 28 million-30million, the cumulative output and sale of new energy automobile will be up to 500 thousand, the market share of passenger vehicle with self-owned brand will be up to 50%, in which, the car with self-owned brand will be up to 40%. The stable raising of automobile output and sales and the support to automobile vehicle from state policy bring vase space for chassis industry development. According to the related data, Huidian Research estimated that more than 23 million of automobile chassis will be needed in China in 2014.
In 2013, the output for special vehicle is 1.2439 million, amounting for 35% of total of truck, the development of special vehicle chassis will play increasingly important role in automobile chassis industry in China. AVIC Heavy Machinery Co., Ltd and JAC invest CNY 1 billion to establish chassis base for special vehicle with area of 500 mu in 2014, which mainly engages in the production of special vehicle chassis for civil and military purpose, research, manufacture and sale of complete vehicle, can produce 30 thousand of special vehicle chassis and vehicles annually, with annul output value of CNY 5 billion.


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|Date: January 24, 2016
|Sales Person: George Mayfield
|Locations: Puyallup WA
Dealership Review by LouAnn Washington.
I wanted to let everyone know that buying a car at Subaru of Puyallup was the best car buying experience I have ever had and our salesperson George Mayfield was absolutely wonderful to work with. He listened to my concerns and really took the time to help me find the right vehicle. I am so happy with my new Subaru Crosstrek. I told George that I had been so stressed out about getting a new car and dealing with insurance companies. He truly helped me have a stress free and hassle free experience. Thanks to George and Subaru of Puyallup.
Other reviews from Puyallup WA


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The Doctors Lounge - Primary Care Answers
"The information provided on www.doctorslounge.com is designed to support, not replace, the relationship that exists between a patient/site visitor and his/her physician."
Back to Primary Care Answers List
Forum Name: Nutrition & Diet
Question: Bloody Oysters
|Seryany - Wed Dec 15, 2004 8:01 pm
Whenever I have had the flu, it usually begins with sore throat and days or weeks later as it ends, I Cough up a big chunk of bloody phlem. I have learned that this is a signal that the virus has been beaten and the worst is over.
I am asking why? Why that big chunk, why is there (where is it?) why does it's release signal the end of flu symptoms?
Your thoughts?
|Theresa Jones, RN - Fri Dec 17, 2004 11:55 am
Hi Seryany,
Generally speaking, people who have the flu don't normally Cough up bloody phlegm unless they have had severe Coughing episodes and an infection in the respiratory tract. Do you only Cough up bloody phlegm once? Do you Cough up bloody phlegm only during the times of your illness or is it at other times as well? If it is at other times, I would suggest an evaluation by your physician.
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Quality Food & Beverage Map
8030 W. 3rd St. (Crescent Heights Blvd.)
323-658-5959 | Make Restaurant Reservations
Now that you know where you want to enjoy a meal, it's time to find the restaurant. Print out this Quality Food & Beverage map and take the driving directions with you so you can locate the restaurant easily.
Find out which restaurants and chefs top the list of GAYOT's 2016 Annual Restaurant Awards.


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Condo/Townhouse, Low Country - St. Simons Island, GA
What could be better than a 2nd floor, four bedroom Grand? The rarest of rare to get this kind of space. This is one of those units that works so well. Just recently the Grand decided it was a little long in the tooth so the homeowners are doing major maintenance and upkeep. Each unit owner was assessed for the face lift and the Seller of this unit will pay the assessment. So you get a perfect building and the best ocean front 4 bedroom.
Data Provided by Golden Isles Association of REALTORSMore Information for this listing


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LEXINGTON, Ky. (AP) Officials say a part-time census taker died at the tree in a Kentucky forest where his body was found with a rope around his neck and the word "fed" scrawled on his chest.
Clay County Coroner Jim Trosper and state medical examiner executive director Mike Wilder on Wednesday confirmed the location of 51-year-old Bill Sparkman's death to The Associated Press.
Authorities have released little other information except that asphyxiation was the cause of death. Wilder says the investigation hasn't determined whether the manner of death was homicide, suicide or an accident.
Sparkman's naked body was found hanging from a tree yet in contact with the ground in a remote area of the Daniel Boone National Forest. The word "fed" was written on his chest, likely in pen.
Copyright 2009 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.
Guidelines: You share in the USA TODAY community, so please keep your comments smart and civil. Don't attack other readers personally, and keep your language decent. Use the "Report Abuse" button to make a difference. Read more.


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Their ability to translate a beautiful and effective type direction in both two and three-dimensional form has been clear since their studio opened with an upholstered version of their company name sprawled across the polished floorboards.
Their initial concept for the hotel branding was to beg, borrow or steal the collateral needed to run a hotel – the letterhead, the online ads, the hotel menus… A grand vision of begging, borrowing, or stealing for the sake of reusing materials rather than making new ones.
You can read about the studio's concept for Hotel Hotel here.


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Miami Dolphins coach Tony Sparano said Monday that he would ask the league to investigate LB Channing Crowder's claim that Baltimore Ravens RB Le'Ron McClain spit in his face.
Sparano told reporters he had evidence that he believed validated Crowder's complaint that he would forward to the NFL.
WFOR-TV in Miami has video that could be included in the investigation. It shows McClain and Crowder barking at each other face to face, and McClain appears to launch his head toward Crowder's.
But McClain denied spitting at Crowder on Sunday. "We got a little head butting ... but no spit," McClain said. "That ain't my game."
Sparano said Monday he was disappointed by the allegation.
"This deal about spitting in somebody's face, nowhere in this game do I see any place for that," Sparano said Monday (via the Miami Herald).
-- Sean Leahy
Nate Davis is a reporter, blogger and editor who's been at USA TODAY since 2000. He has covered the NFL since 2005. No, he did not play quarterback for Ball State. Davis' succession of our esteemed colleague Sean Leahy at The Huddle is considered a Brady-for-Bledsoe swap by most "insiders."More about Nate


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ReGift Thrift Store
Can you believe it? Pender Regift Thrift Store has been in business for four years!
We have helped hundreds of individuals and families. We couldn't do without our volunteers! We gather to recognize and appreciate their efforts, to remember, and to look forward. We might play a game or two. Light refreshments will be served. Feel free to potluck it if you have somethingl you'd like to share.
Call Maryann Weber at 703 378-7371 with your questions, comments, and RSVPs.
There's a wonderful new thrift store not far from our community, Pender ReGift Thrift Store, located at 4447 C Brookfield Corp. Dr. in Chantilly behind the Chantilly Post Office. ReGift Thrift is a non-profit outreach ministry of Pender United Methodist Church. We have gently used furniture, household items, and clothing. We also distribute material goods to the needy locally here in Fairfax, nationally, and internationally.
Volunteer, donate, tell your friends, and come by for a great deal!
For more information, please call us at 703-378-7371, visit the website at www.penderthrift.org, or send us an e-mail at firstname.lastname@example.com
"NVMMO volunteers quickly worked to outfit the apartment with donated furniture and household items from Pender United Methodist Church's thrift store, bought them food and gave them a small amount of spending money to help them get around on Metro and the bus..." Read the article here: FairfaxTimes.com
Exciting things are here for Pender UMC! We're taking 'Loving God, Loving Neighbor' from the abstract to the concrete -- literally. To serve a growing need, the Outreach Center is expanding into the Pender ReGift Thrift Store.
This will allow us to expand our reach into the community, help support missions through increased revenue, and continue to supply the Outreach Center with clothing, furniture and other needed items. In order to succeed, we will need even MORE volunteers, will you consider giving this ministry some of your time and talent?
For more information, contact Dave Cacner.
In the News:
Pender ReGift Thrift was interviewed for the CentreView, August 2, 2012


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I suppose it'll need to be a mount option in addition to a kernel feature. Even then I'm not sure it's perfect. For instance, what if /tmp isn't in its own filesystem?
Granted, it's a per-file attribute, so you have to remember to set it before you make a mistake anyway. Perhaps the attribute should be inherited from the current directory, one could set things up hierarchically? "I want undelete available in this tree, but not that one."
Secure deletion and trash bin support
Posted Dec 7, 2006 21:03 UTC (Thu) by oak (guest, #2786) [Link]> I suppose it'll need to be a mount option in addition to a kernel
Secure deletion and trash bin support
Posted Dec 7, 2006 21:17 UTC (Thu) by jzbiciak (subscriber, #5246) [Link]I'm saying that I might simply not want a .trash directory in a particular filesystem *ever*. For instance if I have an FS that I use for large temporary files, I don't think it should get a .trash, ever.
trash bin
Posted Dec 8, 2006 19:23 UTC (Fri) by giraffedata (subscriber, #1954) [Link]
Presence of a .trash directory (a filesystem option) and a mount option are two different things, both valuable. In reality, I think users wouldn't be satisfied with undeletion without an entire storage management policy capability. The decision whether to delete a file as soon as the last normal reference disappears or keep it around in the trash needs to be based on what directory, filesystem, and mount the file was in as well as its name, and various attributes such as owner, size, and modification time.
But to make something mildly useful to some people, just a filesystem option (probably simply the existence of the .trash directory in its root) would be reasonable.
I don't even think the per-file attribute would be useful in a system that simple -- I don't know how the designers of the system in question envision that getting set.
Secure deletion and trash bin support
Posted Dec 8, 2006 1:11 UTC (Fri) by nix (subscriber, #2304) [Link]Great. I guess I'd better point out some of these DoS scenarios...
Given users a and b, in group C, where (all paths filesystem-relative):
/ is writable by user a, with the sticky bit on, and readable and
executable by everyone (of course).
/bar is writable by group C.
/baz is writable by user b only, and not readable by anyone else.
/foo is writable by user x, who is known to be a bit of a mischievous sod,
and not by user b.
User b deletes a file in /bar. Now presumably /.trash inherits its
permissions from /, right? Well, that file's just gone into /.trash, which
*b cannot delete files from*. So now user b can fill up the disk just by
creating and deleting files, but has to appeal to a to fix things.
Worse, files b delets in /baz can only be deleted from /.trash by user a,
even though user a *cannot delete them from /baz in the first place*.
But it gets nastier. What if user a deletes an important file and then
user x spots this and immediately afterwards deletes a file with the same
name from /foo? Does that file overwrite the important file in /.trash? Do
the files in /.trash get the directory name encoded in their filename
somehow, to evade this? (If so, that means you can break the system in
another way: the encoding for filenames must, if not ambiguous, sometimes
be longer than the filenames themselves. Thus it's possible to produce a
file in a deeply-nested directory which has a name which is too long, when
encoded, to be written to /.trash.)
Another scenario: user b deletes an important file out of /baz: it was
group-readable, but what the hell, it's in a directory they can't read
anyway. But now it's been deleted, that is no longer true: now user x can
read it. Worse, user x can hardlink it into his own directory, and b can't
do anything about it: can't even delete it again. However, it is possible
depending on the semantics of repeated deletion that he may be able to
*overwrite* it by deleting another file with the same name (in which case
deleting symlinks seems risky, as that's opened up an rm variant of the
classic symlink attack: delete a symlink to /etc/passwd, wait for root to
delete a file with the same name, oops: worse, an attacker with write
privs in /.trash can delete anyone's file by hardlinking it into /.trash
under a suitable name and waiting for someone to delete a suitable file:
no, overwriting is not safe, you must unlink()).
And then what happens if you flip on the immutable bit for files
in /.trash?
So now we have rm(1) not consistently trashing files, possibly leading to
unreadable-by-others files becoming readable by them and unremovable by
you, or alternatively leading to arbitrary files that happen to have
symlinks pointing to them or happen to have been hardlinked into or out
of /.trash being overwritten.
This proposal needs a *lot* of thought. Either /.trash is fantastically
magical and violates most Unix rules for file access (hardlinks out of and
into banned, *symlinks* out of and into banned, always 1777 except that
files belonging to other users don't appear, um, how will that work
exactly?) or you've opened a vast can of worms.
(A plan9-style per-user /.trash bind-mount might work better, but the
userspace infrastructure for that is not really there yet.)
Secure deletion and trash bin support
Posted Dec 8, 2006 1:16 UTC (Fri) by nix (subscriber, #2304) [Link]Actually, the .uid stuff prevents some of these attacks.
Just some. Not all :/
Secure deletion and trash bin support
Posted Dec 8, 2006 1:37 UTC (Fri) by liljencrantz (guest, #28458) [Link]I've read through all your complaints about trash, and as near as I can tell, they fall in two categories:
* Problems that are solved by the /UID/ indirection
* Problems that are solved by not changing the access permissions or ownership of the file when moving it to trash.
If I have missed any cases, please point them out to me.
Copyright © 2017, Eklektix, Inc.
Comments and public postings are copyrighted by their creators.
Linux is a registered trademark of Linus Torvalds


text:
Tow Bowl Tactics is a game based on Games Workshop's Blood Bowl. It is an epic conflict between two teams of heavily-armed and quite insane warriors. Players pass, throw, or run with the ball, attempting to get it to the End Zone at the end of the field to score a touchdown. Games are full of violence and carnage and could be compared to a combination of Warhammer, American football, and rugby.
Poopmup is a game, a sort of a shoot-em-up, but with a twist. As a child, you where tortured in the playground. You were a victim of the highschool hierarchy. You hacked hours on end, and built a machine that transformed you into a bird. You are now free (as in speech) to fly around the city and poop on passers-by.
KBillar is a billiard game in which everything is user-definable: the table, borders, ball properties, gravity, etc. The user can choose to play billiards on surfaces such as a sphere, a cylinder, or a torus, or in any map which can be expressed as z(x,y). To parse complex mathematical maps, KBillar uses methods from Kalamaris.
Teddy is an OpenGL-based 3D graphics library written in C++. Its main features are simple scene graph and windowing system-enabling multiple cameras, camera windows, and scenes. It focuses on easy and flexible manipulation of models and model materials in the scene graph. It contains a number of primitive objects like sphere, box, and cone, and it can load LightWave object and scene files.
Develop hybrid intelligent software agents and agent applications in Java.
A small, powerful, and really fast Web server for Linux.


text:
Title: Grant, John Thomas
URL: http://www.johnthomasgrant.com
Description: My fans say it best: "John Thomas Grant does something magic to make each grave stone look unique and special. I wonder if the person under looks at his final place on earth and says someone does remember me. The photos do honor the deceased in a special memorial."
Date Submitted: 02/09/09
Listed / Last Time Edited: 02/10/09
Main Category: > Collections of Images
Second Category (if any): G
Linkedin (if any): http://www.johnthomasgrant.com
Number of visitors we sent to this photo site: 515 time(s).


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