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According to a survey the most attrative men right now are Bradley Cooper and Ryan Gossling. Both of these guys have blond hair. So is it a myth that women prefer men with darker hair?
Most Helpful Girl
Those guys are hot with blond or purple hair or no hair. but in general I like dark hair10|10|0

subset: commoncrawl


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Haha... there was a post a few weeks ago about quidettes or quids... something anyway, and it mentioned jersey shore!
Well... I've never heard of it before... but it is coming to the UK on the 21st... I think ill watch it just to see what you all meant haha x
I can honestly say, I find those people absolutely awful.
I can't believe people are actually like that! WTF. If I saw them, id just slap some sense into them...
Complete madness!
Most Helpful Guy
Basically Jersey Shore is a reality show about a group of twentysomething Americans living together in a beach home in New Jersey. The cast members are people generally referred to as "Guidos" and "Guidettes" which are Americans of Italian descent who try to look preppy and rich. They are stereotypically depicted as having bad attitudes, dark fake tans, hair that has way too much product in it, and they practically live at night clubs. The women all have fake boobs and the men are all steroid freaks who live at the gym.
For this show, MTV assembled a group of the most stereotypical Guidos/Guidettes to live together under one roof in a beach house for the summer under the stipulation that they work part time jobs at a local T-shirt/souvenir shop. As long as they can hold down that part time job they stay on the show. Throughout the show, their stupidity and need to always party/get laid/get drunk puts them in compromising situations that make you lose all respect for them as human beings.
Here are the cast members:
Angelina - Drama queen. Not much is seen about her since she gets kicked off the show only a few episodes in. All you get to learn about her in the short time she's on the show is that she's got a bad attitude.
Mike "The Situation" - A womanizing jerk who truly honestly believes that he can get any woman into bed at any time. He is disrespectful to others and a backstabber to his friends.
Ronnie - A steroid-abusing bodybuilder with a hot head who's always getting into fights.
Pauly D - One of the only semi-respectable ones of the bunch, he's a DJ who lives for his hobby. He doesn't really mingle with the other cast members and doesn't get involved in much drama over the course of the show.
Nicole "Snooki" - A girl with no self respect who lets everyone walk all over her. She spends most of the show getting drunk, crying, and acting like a skank.
Jenn "Jwoww" - Hypocritical, quick to judge others when she makes the same mistake herself. She spends half the show talking on the phone with her long distance boyfriend who she claims she loves, trying to hide the fact that she cheats on him.
Vinny - The dude with no backbone. He seems nice enough and respectable enough but lets everyone walk all over him and, for the most part, stays out of drama, like Pauly.
Sammi "Sweetheart" - She is the poster child for every stereotypical bad thing about American teenage girls, only not a teenager. She goes through more mood swings than you can shake a stick at and is second only to Angelina in being a drama queen.
Most Americans and even people from NJ are not like this. For this show, MTV simply picked the worst of the worst of an ethnic/racial stereotype and lumped them together for laughs.22|00|0
Excellent feedback about the show! I am from Jersey and I watcheow for entertainment purposes. BTW, people from Jersey are not like the people cast for the show. I am a native to Jersey.


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New for 2017, the 29" Range Carbon 9 is prepared for anything the trail throws its way. Featuring category-bending capability, the 160mm Range Carbon 9 is both an enduro race rig and the ideal backcountry accomplice - ready to take on any trail, anywhere. All mountain-tuned A.R.T. suspension helps the bike climb with impressive efficiency, but it is when the trail turns downhill that this truly comes alive - delivering unrivalled high-speed power, control and confidence to the rider.
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'"Gut feeling does come into play quite a bit. A lot of players out there are the same, it's difficult to separate them," said Devine, who checks for a player's background with coaches, teammates and trainers. "You have to project that kid five years down the road, too. There are a lot of intangibles. A lot of things can change in three to five years especially when they start making money."' (Submitted by: wee whaler)
Note: While we are busy tweaking the front page design to make it more appealing and functional (especially for our mobile readers), you may notice odd layout errors. Please hit "control-F5" to refresh the page and load the latest files. Thank you!


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HUNGARY: Szentgotthard may supply engines to Russia's AvtoVAZ - Interfax
General Motors' Hungarian plant in Szentgotthard (western Hungary) may supply Opel engines to the Russian joint manufacturing venture of AvtoVAZ and General Motors, the daily Nepszabadsag reported Wednesday.
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Our mission at Comic Cure is to support local comedians and local charities. Our community events provide local non-profit organizations with a laughter-filled opportunity to raise awareness, engagement, and funds for their cause.
How it works: By completing the form below charitable partners will receive a unique promo code and ticketing link to sell tickets to the event:
Ticket Count Deadlines: January 20 – Glendale Laughs Comedy Festival
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|Reviews for Masquerade
| Captain Wolf chapter 1 . 11/23/2007
I liked the mysterious aura surrounding this. It seemed sweet, but at the same time, unreal. Maybe that's where the title comes from.
Nice work.
| Sandstorm626 chapter 1 . 7/18/2006
Woah this is really good. I like the beginning the best.
Keep writing, you're pertty good at it.
til next time...
| time can take its toll chapter 1 . 6/5/2006
Hey you. XD Long time no see.
Aww - that was adorable. And beautiful, as usual. ) You did a gorgeous job with this. It's short and simple, but it flows so perfectly. _ Yay for RoxasxNamine. 3
| Ginger Ninja chapter 1 . 5/26/2006
That was really bittersweet. Great writing :)
| Angel Of Blacksouls chapter 1 . 5/25/2006
AWESOMENESS! Facinating one-shot. :) I like it.
| xSakuraRosesx chapter 1 . 5/25/2006
Kawaii! I loove roxas so much i could just eat him up he's soo cute!


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Product number: 6092_DGR|
Weight: 0.7 kg|
Jacket with open sleeves and with material referred buttons. At the lower arm tied.
The inside is fed. In the gaps of the arm slots no material is inserted!! Here to the jacket cream a shirt was carried.
Without shirt and belt
Fabric: 100% cotton


text: I've been using Google Tasks for some time because they're simple and can now be dragged and dropped right in Google Calendar, plus my favorite iDevices app, Calengoo, supports them, plus Gmail integrates them. It's easy to have a list of appointments and tasks together. On top of all that simplicity and free goodness, this post, Max Themes Blog - How to Make a Simple Menubar Task List using Google Tasks & Fluid, has a nice little hack to put Google Tasks in your Mac menubar. Simple. Nice. Pretty.


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TUJHE CHAND CHAHIYE supari MP3
supari movie song.
Tujhe Chaand Chahiye from Supari by Sunidhi Chauhan and Vishal Dadlani MP3
♥ Tujhe Chand Chahiye ♥ | Arya | Trisha Krishnan | HD | MP3
My Collab Channel: - Abell's Collab Channel: https://www.youtube.com/user/AbellsCollabChannel My Website: www.SRK-LOVE-ABELL.de.be Creation by ...
ღღ Tujhe chaand chaahiye.. ❣❣ MP3
Song: Tujhe chaand chaahiye.. | Movie: Supari (2003) | Singer(s): Sunidhi Chauhan & Vishal Dadlani | Music Director(s): Shekhar Ravjiani & Vishal Dadlani.
Chand Chahiye MP3
"Ode To The Material Girl"


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Question: Is it possible to be a member of a minority
Is it possible to be a member of a minority when, in fact, your group has greater numbers than another group? Can you think of any examples besides the one from the text?
View Solution:
View Solution:
Answer to relevant QuestionsWhat factors explain the disparities in earnings between men and women? Minorities and whites? Are the factors different for race and gender? Should mothers of young children be required to work in return for government assistance? Does the age of the child make a difference? What about the number of children? What are the issues involved? Which other factors besides health care enter into the statistics on life expectancy and infant mortality rates? Is GNI per capita an adequate indicator of the well-being of people in developing countries? Why or why not? Are there better indicators? What are some of the means used to control population growth in various parts of the world? Are these effective? Are they appropriate? Are they ethical? Do the ends justify the means?
Post your question


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Gray Label
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This top is made from the softest organic cotton jersey. It has a round neckline, relaxed 'boxy' fit and raw edged stitched details.
Made in Portugal
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Sherri's Sweet 'n Spicy Sloppy Joes
Recipe by Chalko
I love sloppy joes, but most recipes are really bland for me. I keep experimenting, because I like them spicy, but also sweet, so here is what I came up with!
Top Review by CulinaryQueen
PAC Fall 2007 ~ We like it, but thought it was a bit too sweet, even with just a 1/4 cup brown sugar. Instead of ketchup, I took a can of chopped tomatoes, poured them into a sieve, let the water drain, then pushed them through to give a puree. Had a nice kick though with the cayenne and paprika! You didn't specify whether to use dry or prepared mustard, so used a prepared honey Dijon. Thanks for sharing!
See Discussion:1 Review
Ingredients Nutrition
- 1 lb ground beef
- 1 green bell pepper
- 1⁄2 cup onion, diced
- 1 garlic clove
- 1 -2 cup ketchup
- 1 tablespoon mustard
- 1 teaspoon paprika
- 1⁄4 teaspoon chili powder
- 1 1⁄2 teaspoons cayenne pepper
- 1 1⁄2 tablespoons vinegar
- 1⁄4-1⁄2 cup brown sugar
Directions See How It's Made
- Cut pepper into bite size pieces, dice onion, smash garlic.
- Brown hamburger together with the onion, pepper, and garlic until the hamburger is cooked.
- Add the rest of the ingredients and simmer for 10 minutes.
- Serve over toasted hamburger buns.


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|Home | About | Journals | Submit | Contact Us | Français
Obesity interventions can result in weight loss, but accurate prediction of the bodyweight time course requires properly accounting for dynamic energy imbalances. In this report, we describe a mathematical modelling approach to adult human metabolism that simulates energy expenditure adaptations during weight loss. We also present a web-based simulator for prediction of weight change dynamics. We show that the bodyweight response to a change of energy intake is slow, with half times of about 1 year. Furthermore, adults with greater adiposity have a larger expected weight loss for the same change of energy intake, and to reach their steady-state weight will take longer than it would for those with less initial body fat. Using a population-averaged model, we calculated the energy-balance dynamics corresponding to the development of the US adult obesity epidemic. A small persistent average daily energy imbalance gap between intake and expenditure of about 30 kJ per day underlies the observed average weight gain. However, energy intake must have risen to keep pace with increased expenditure associated with increased weight. The average increase of energy intake needed to sustain the increased weight (the maintenance energy gap) has amounted to about 0·9 MJ per day and quantifies the public health challenge to reverse the obesity epidemic.
While the complexity of the obesity epidemic is graphically illustrated by the web of interacting variables in the Foresight Obesity Map,1 at the central core of the system map lies a fundamental principle of nutrition and metabolism: bodyweight change is associated with an imbalance between the energy content of food eaten and energy expended by the body to maintain life and perform physical work.2 Any successful intervention targeting obesity (eg, diet, exercise, drugs, bariatric surgery, etc) must tip the balance between energy intake and expenditure. Therefore, to assess the potential of an obesity intervention, its effect on both energy intake and energy expenditure over time needs to be quantified.
Despite the simplicity of this core energy balance principle, calculation of the dynamics of energy imbalance and translation of the imbalance to a change in bodyweight is not straightforward. Widespread official recommendations from the National Health Service in the UK, the National Institutes of Health and the American Dietetic Association in the USA erroneously state that reduction of energy intake by about 2 MJ per day will result in slow and steady weight loss of about 0·5 kg per week.3–6 This ubiquitous weight-loss rule (also known as the 3500 kcal per pound rule) was derived by estimation of the energy content of weight lost7 but it ignores dynamic physiological adaptations to altered body weight that lead to changes of both the resting metabolic rate as well as the energy cost of physical activity.8 Unfortunately, this static weight-loss rule continues to be used for weight-loss counselling and has been misapplied at the population level to predict the effect of policy interventions on obesity prevalence.9–12 While it is generally recognised that the static weight-loss rule is overly simplistic, there is a dearth of methods for accurate predictions of how changes of diet or physical activity will translate into weight changes over time.
We address this issue by using a dynamic mathematical modelling approach to human metabolism that integrates our knowledge about how the human body responds to changes of diet and physical activity. Although several mathematical models of human metabolism and weight change have been developed in the past,13–27 here, we describe some insights about weight loss resulting from our research group's experience in developing and validating various mathematical models of human metabolism and body-composition change.7,28–37 Furthermore, we present a web-based implementation of one of our dynamic mathematical models of human metabolism with which readers can do their own simulations. We show how this dynamic simulation model of human metabolism can predict the time course of weight change at both the individual and population levels.
An imbalance between energy intake and energy expenditure is accounted for by a gain or loss of body fat and lean tissue which generally change in parallel.30,38 Thus, quantification of weight change requires both a dynamic assessment of how energy expenditure changes over time as well as how energy imbalances are partitioned between storage or mobilisation of body fat and lean tissue. The energy content per kg change of body fat is 39·5 MJ and 7·6 MJ for a kg of lean mass.7 Thus, to lose the same mass of fat as lean tissue requires about a 5-fold greater deficit in net energy. Changes of body fat and lean tissue are related by a non-linear function of the initial body fat mass such that people with higher initial adiposity partition a greater proportion of a net energy imbalance towards gain or loss of body fat versus lean tissue than do people with low initial adiposity.30,38 The physiological mechanisms underlying this non-linear relation are complex and involve the regulation of metabolic fuel selection,31,34 but the net result can be described by a simple equation first presented more than 30 years ago38 and subsequently updated and validated.30,37
Although less energy is stored in lean tissue than in body fat, lean tissue is more energetically expensive to maintain than is body fat and contributes more to the body's overall energy expenditure rate.39 Thus, energy partitioning also contributes to changes in the energy expenditure rate of the body, particularly the resting metabolic rate and the energy cost of tissue deposition and turnover. These factors, along with the energy cost of physical activity, have recently been incorporated in validated mathematical models of human metabolism and body composition change for adults.28,29,31,33,36 The webappendix (pp 1–3) describes a non-linear dynamic model that captures the important physiology.
Figure 1A–C shows our model simulations of weight change and body fat change along with experimental data from the CALERIE study80 that investigated 6 months of 25% caloric restriction, 12·5% caloric restriction plus exercise, and 3 months of a liquid diet of 3·7 MJ per day followed by a period of weight maintenance. The close agreement between the model predictions and the data provides some validation of the mathematical model, since these data were not used for model development. Figure 1D shows another validation study, in which two obese women were provided with liquid diets of about 3·3 MJ per day in an inpatient setting.81 The model accurately reproduced the different rates of weight loss resulting from the differing predicted energy expenditure rates in these women. Similarly, figure 1E, F shows the simulated and measured weight changes over the course of a 30 day fast in obese men and women, respectively.83 Again, the simulated weight change dynamics agree reasonably well with the data thereby providing some confidence that the model accurately captures the quantitative physiology of weight loss.
Calculation of the energy deficit generated by a given diet requires knowledge of the energy needed to maintain the baseline bodyweight. Unfortunately, we cannot measure the initial energy requirements of a free-living individual with a precision better than about 5%.83 More typically, the initial uncertainty will be much greater than 5% unless the specialised and expensive doubly-labelled water method is used to measure energy expenditure before the intervention. The uncertainty of the baseline energy requirements translates to an expected inter-individual variability of weight loss even if adherence to the prescribed diet is perfect. This is a fundamental limitation on our ability to precisely calculate the predicted bodyweight time course of an individual.
Figure 2A shows the predicted bodyweight time course of a 100 kg (220 lb) sedentary man following a step reduction of energy intake by 2 MJ per day (480 kcal per day). This constant diet perturbation was predicted to result in a bodyweight plateau at about 75 kg (165 lb) over a 10-year simulation taking roughly 1 year to reach half of the maximum weight loss and reaching 95% of this value after about 3 years. The dashed curves on figure 2A illustrate the ±4 kg weight-loss variability after several years and show that even seemingly small initial uncertainties can lead to large expected long-term inter-individual variability of weight change. This expected variability will be exacerbated by imperfect adherence to the intervention as well as any differences in physiological variables between individuals.
By contrast with our dynamic model simulations, the popular dieting rule3–6 predicts that the same 2 MJ per day reduction of energy intake will result in a linear decrease of bodyweight over time with 22 kg lost in the first year (not shown), which is about 100% greater weight loss than our model prediction. This result shows the magnitude of the error introduced by ignoring dynamic changes of energy expenditure with weight loss. Moreover, it might help explain why even the most diligent followers of diet programmes often fail to reach weight loss goals that were set by use of the static weight-loss rule. Although practitioners of the erroneous dieting rule generally acknowledge that weight loss will slow over time, they had no way to estimate the weight-loss time course.
The timescale to reach a new bodyweight steady state is mathematically given by the effective energy density of the change in body tissue divided by the slope of the relation between the total energy expenditure rate and weight change (webappendix pp 3–4).28 Both of these factors are influenced by the initial body composition of the individual, and, therefore the bodyweight time course also depends on the initial body composition.33 Figure 2B shows the predicted change in bodyweight for the same step reduction of daily energy intake of 2 MJ per day in both a 100 kg man and an 80 kg man that differ in their initial body composition. Although the weight lost over the first year is similar, the greater initial fat mass of the 100 kg man results in a larger proportion of weight loss from body fat versus lean tissue than that in the 80 kg man. Because the energetically expensive lean tissue mass is preserved, the 100 kg man achieves a greater eventual weight loss than the initially lighter man because of the relative preservation of energy expenditure. However, to reach half of the maximum weight change takes longer for the 100 kg man than it does for the 80 kg man. Conversely, increased daily energy intake will result in greater weight gain in the 100 kg man than in the 80 kg man and a greater fraction of the weight change will be body fat (not shown).
These different bodyweight predictions at steady state result from the non-linear relation between initial mass of body fat and the fraction of weight change accounted for by change in lean tissue mass.30 Thus, the person with more initial body fat has a greater fraction of their weight change attributable to changes of body fat versus changes of lean tissue than does a person with less initial body fat. Since body fat contributes less than lean tissue to overall energy expenditure,39 the person with higher initial body fat will lose a greater amount of weight to achieve a new state of energy balance.37
Physical activity increases energy expenditure and can therefore cause weight loss, assuming no compensatory changes in energy intake. But does an increase of physical activity necessarily lead to the same weight loss as an energy-equivalent decrease of food intake? Figure 2C compares a step change of physical activity (ie, running roughly an additional 20 km per week at a moderate pace with an initial energy cost of about 1·2 MJ per day) with an energy-equivalent decrease of energy intake in the simulated 100 kg man. Such a relatively modest increase of physical activity expenditure results in slightly more rapid and greater predicted weight loss compared with an energy-equivalent reduction of food intake (figure 2C). However, as the magnitude of each intervention increases, there is a point when diet leads to greater weight loss than does physical activity. Increased physical activity versus an initially energy-equivalent reduction of food intake leads to differing predicted weight loss because the energy expenditure of added physical activity is proportional to bodyweight itself.71 Therefore, by contrast with the assumption that a calorie is a calorie with respect to physical activity versus diet, our model shows that energy-equivalent initial changes of physical activity versus food intake can lead to differences in weight change, but experimental confirmation of this result would be difficult.
We have not yet modelled the potential effect of exercise on change of body composition although this effect is likely to be modest for most aerobic exercises. More importantly, our model simulations assume that changing physical activity does not alter energy intake and vice versa. However, there is evidence that increased physical activity results in compensatory changes of energy intake that act to attenuate the energy imbalance84,85 and that the extent of compensation has high individual variability.86 Conversely, changes of energy intake might result in compensatory adaptation of non-exercise physical activity, which also has a high degree of individual variability.87 These compensatory feedback relations between energy intake and physical activity clearly warrant further investigation. Because our simulation model predicts the expected responses in the absence of these feedback mechanisms, we suggest that the difference between the measured and model-predicted weight change can be used to quantify the magnitude of compensation.
The long timescale for weight loss in obese and overweight individuals has important implications for clinical weight-loss interventions. For example, implementation of a weight-loss programme in various stages so that a goal weight can be achieved in an abbreviated timeframe might be desirable. The first stage might consist of a more aggressive temporary change in behaviour to achieve the weight loss goal in a specified time, after which the intervention can be relaxed to a permanent behavioural change to avoid the weight regain that typically occurs.88,89
Figure 3 shows an example of such a two-phase programme of weight loss. A screen-shot of our web-based model simulating the required reduction of dietary energy intake of 5 MJ per day (1200 kcal per day) from a baseline of 12·7 MJ per day (3000 kcal per day) for a sedentary 100 kg (220 lb) man to lose 20 kg (44 lbs) in 6 months. This schedule was followed by a permanent reduction of energy intake to a value of 10·9 MJ per day (2600 kcal per day) to maintain the weight loss. Physical activity at baseline could be roughly estimated by answering two simple questions about work and leisure physical activities,90 and the simulations assumed no change in physical activity through the time course of the intervention. The effects of a weight-loss programme that includes modification of physical activity from its baseline value can also be simulated with the web-based model. By modifying the initial conditions of the model to represent an individual person, the simulator can be used for personalised goal setting and behavioural intervention planning.
The simulation model can also display the range of expected individual weight-loss trajectories corresponding to the initial uncertainties in energy imbalance described before. If the bodyweight time course of a person falls substantially outside the expected trajectory range, then this could indicate non-compliance to the intervention. Alternatively, although the mathematical model variables seem to adequately represent the metabolic responses of an average person with a given initial body composition, an individual might have substantially different physiological variables that cause the bodyweight to fall well outside the expected trajectory range. For example, some individuals could have genetic differences causing them to respond to a reduced energy intake with a suppression of energy expenditure greater than average, which would result in less weight loss than expected.
To assess the mechanisms and comparative effectiveness of various obesity treatments requires understanding their long-term effect on both energy intake and energy expenditure. However, a major difficulty in the field of obesity research is that current methods for assessment of free-living food intake (eg, 24 h recall, food frequency questionnaires, diet diaries, etc) are known to be inaccurate.91,92 Therefore, to interpret the results of various diet trials (panel) is difficult, as is to determine whether diet adherence is responsible for the typical failure to maintain substantial weight loss over extended time periods.93,94 For example, outpatient weight-loss interventions typically result in maximum weight loss after 6–8 months followed by gradual weight regain over subsequent years (figure 4A).89 A common explanation of the weight-loss plateau at 6–8 months is that a metabolic adaptation occurs such that energy expenditure decreases to match energy intake thereby halting further weight loss.95–98 Weight regain then occurs as people slowly relax their adherence to the diet that has stopped producing weight loss.
Although our mathematical model includes the physiology of metabolic adaptation to reduced energy diets, the simulated weight-loss plateau occurs on a much longer timescale. Therefore, assuming perfect adherence to a constant reduction of energy intake, the deviation between the model-simulated weight plateau that occurs after several years and the observed plateau at 6–8 months challenges the usual interpretation of the weight-loss, plateau, and regain trajectory described before. Perhaps the difference between the model simulation and the data is an indication that the model does not appropriately capture the energy metabolism dynamics on long timescales in free-living individuals. But because weight loss in controlled feeding studies is almost linear over 6 months (figures 1A and 1B in agreement with the model), a substantial slowing of metabolism shortly after 6 months would be needed to halt weight loss and thereby explain the typically observed plateau at 6–8 months. Rather, it is more likely that adherence to the prescribed diet was not constant over this timeframe—an interpretation supported by previous results from studies showing that total energy expenditure is much higher than self-reported energy intake at the weight-loss plateau.96
We investigated what change of energy intake would be needed to simulate a typically observed weight-loss and regain trajectory (figure 4A).31 The results show that the observed weight change could only have occurred if adherence to the initial reduction of energy intake by about 3·3 MJ per day (800 kcal per day) was rapidly and progressively relaxed, such that the patients returned to their original weight-maintenance diet within the first year, and kept this diet for the remainder of the 3-year simulation (figure 4B).
Clinicians are often asked to opine on a dizzying array of diets for weight loss. Theoretically, the energy balance principle would seem to suggest that all reduced energy diets must lead to equivalent weight loss. However, there have been several randomised clinical trials comparing diets that differ in macronutrient composition40–59 and many find that low carbohydrate diets lead to greater weight loss, at least in the short term. There are three possible reasons why some reduced energy diets may lead to more weight loss than others.
First, energy is stored in the body as protein, fat, and glycogen, which is a form of carbohydrate. Any imbalance between the intake and use of these macronutrients will lead to an alteration of body composition since the stored protein, fat, or glycogen must change to compensate the imbalance. The energy stored per unit mass of carbohydrate, fat, and protein varies considerably, especially when accounting for the intracellular water associated with stored glycogen and protein.7 Furthermore, dietary carbohydrates have an effect on renal sodium excretion via insulin,60 which results in concomitant changes of extracellular fluid. Therefore, weight changes are expected when the macronutrient composition of the diet is altered, even when the energy content of the diets are held constant.
However, apart from a few notable exceptions,61–63 most results from inpatient studies with adequately controlled diets have shown little effect of diet composition on bodyweight and fat-mass changes.64–69 These results therefore show the exquisite regulation of metabolic fuel selection to adjust to the macronutrient content of the diet. Far from being an obvious consequence of the first law of thermodynamics (often expressed as "a calorie is a calorie"),70 the observation that bodyweight and composition seem to depend little on the macronutrient composition of the diet requires a robust physiological control system to adapt metabolic fuels to the diet composition.33 Understanding of the complex physiological mechanisms underlying metabolic fuel selection is a subject of active investigation.29,31,33,34
The second reason that diet composition might affect weight loss is that the body's energy-expenditure rate might depend on the macronutrient mix of the diet. For example, consumption of dietary protein is known to elicit a substantially larger increment of energy expenditure for several hours after a meal than does dietary fat or carbohydrate.71 Furthermore, the fluxes through various energy-requiring metabolic pathways depend on the macronutrient composition of the diet. For instance, the breakdown and resynthesis of body fat requires eight molecules of ATP per molecule of triglyceride72 and the flux through this pathway is strongly influenced by dietary carbohydrate via insulin's inhibition of lipolysis.73 Similarly, other metabolic processes such as gluconeogenesis, de novo lipogenesis, and protein turnover all require energy and their rates can be substantially influenced by diet composition.
Calculation of the net effect of diet changes on overall energy expenditure requires the use of mathematical models that simulate how the magnitudes of these various metabolic fluxes are altered by changing diet composition.29,31 Despite the attractive theoretical possibility of a substantial metabolic advantage of one diet over another,74–76 the overall calculated effect of diet composition on total energy expenditure seems to be relatively modest, especially when dietary protein is unchanged. Specifically, our computational model of macronutrient balance31 predicts that large isocaloric exchanges of dietary carbohydrate and fat result in changes of energy expenditure of less than 400 kJ per day, which corresponds to a difference in body fat of roughly 10 g per day. To detect such a difference in body fat with present body-composition methods would require a sustained diet change of more than 100 days. These model results agree with experimental findings70,77 and, therefore, the assumption that a "calorie is a calorie" is a reasonable first estimation as far as energy expenditure is concerned over short-time periods. Nevertheless, even small differences in energy expenditure and energy partitioning can theoretically lead to substantial differences of bodyweight and composition if the diets are maintained over long-time periods. This possibility requires further investigation.
Finally, some diets can lead to reduced hunger, improved satiety, and better overall diet adherence during a weight management intervention. While much work has examined the effect of diet composition on short term measures of hunger and satiety,78,79 the well-known difficulties in measurement of food intake in free-living people over extended time periods currently prohibits adequate comparison of different diets. This issue makes the interpretation of most diet trials40–59 particularly difficult since the reported energy and macronutrient intakes are almost certainly erroneous. Diet adherence is likely to be more transient than is generally believed and might underlie the typical pattern of weight-loss, plateau, and regain observed in outpatient diet interventions (see main text).
In summary, changes in the dietary macronutrient composition result in rapid physiological adaptations that strive to match metabolic fuel selection to the diet. These adaptations minimise changes of body composition and energy expenditure. As a result, all reduced energy diets have a similar effect on body-fat loss in the short run. However, little is known about the long-term effect of diets that vary in macronutrient composition since present methods prohibit quantitative assessment of food intake and diet adherence in an outpatient setting.
Our model's predicted pattern of free-living energy intake raises several interesting issues. First, after the initial reduction in energy intake resulting from a dietary intervention, a progressive increase of energy intake occurs for many months before it finally meets the energy expenditure rate corresponding to the bodyweight plateau. In other words, weight loss continues for many months at the same time that the average energy intake is slowly increasing. The dieter might then incorrectly infer that adherence is not essential for continuing weight loss when, in fact, impending weight regain has already been set in motion. The slow timescale for weight change is responsible for the gradual weight regain over many years despite the fact that the original lifestyle was resumed within the first year. Interestingly, energy intake levels return to the original baseline diet only a few months after weight hits a minimum and starts increasing. We do not yet know the mechanisms that drive this predicted pattern of average energy intake during a weight-loss programme, but this clearly warrants further study.
The observed average weight regain at 3 years of all but about 3 kg of the lost weight contrasts with the expected weight loss of more than 12 kg that our model predicts would have resulted had the individuals eaten their self-reported energy intake (data not shown).89 These diverging results highlight the well-known deficiencies in the assessment of free-living energy intake,91 making the results of clinical trials comparing various diet interventions very difficult to interpret. To address this difficulty, mathematical models of human metabolism have recently been proposed to estimate changes of free-living energy intake by use of longitudinal measurements of bodyweight as model inputs.31,36,99,100
The obesity epidemic is measured at the population level, including the bodyweights of individuals within the population. Accordingly, it is important to develop models that can quantitatively relate individual changes in energy balance and bodyweight to population-level effects. Modelling of the dynamics of the entire population distribution over time is complex and beyond the scope of this report. However, by taking the average of the mathematical model over the US adult population, we managed to calculate the energy imbalance dynamics underlying the observed change of the average adult bodyweight.36 Fortunately, averaging over a large population reduces the previously described measurement uncertainty in the initial state of energy balance to a negligible value and results in a more precise estimate of the average weight change than can be obtained for an individual. Furthermore, whereas irregular jumps might characterise the energy intake or physical activity patterns in some individuals (eg, the step changes simulated previously), these transitions in behaviour will be smoothed out when averaged over the population.
An important caveat exists when populations are considered to be the sum of individuals. Adults within a population, on average, gain weight as they get older, at least up to the age of about 60 years. Thus, a longitudinal study of adults will inevitably show weight gain, whereas the population as a whole (as judged by serial cross-sectional surveys) might be weight stable, increasing in weight, or even decreasing in weight. This is typically a result of lean, young people entering the adult population at the same time as fatter, older people leave the population by dying. Nevertheless, averaging the mathematical model over a population can give important insights into the energy imbalances responsible for the rise of obesity.
Over the past 30 years, the average adult bodyweight in the USA has linearly increased since 1978 (figure 5A).101–103 By using the average adult bodyweight in 1978 as the initial condition of our model, we quantified the energy balance dynamics underlying this observed average weight gain. Figure 5B plots the simulated progressive increase of overall daily energy intake and energy expenditure underlying the average bodyweight trajectory shown in figure 5A, assuming no change of average physical activity.
The small difference between the average daily energy intake and expenditure rates shown in figure 5B quantifies the persistent daily energy imbalance that amounts to about 30 kJ per day. This small average daily energy imbalance is equivalent to the average increase of energy stored in body fat and lean tissue divided by the time taken to store this energy. This small "energy imbalance gap" underlying the development of obesity at a population level was first identified by Hill and colleagues104 (although not referred to by this term). This observation led to the "small changes approach"104,105 to address the obesity epidemic based on the idea that only a small average daily energy imbalance underlies the population-wide increase of average bodyweight.105 Thus, it is argued that halting the rise of obesity prevalence requires only small changes.
However, reversal of obesity will require substantially larger changes, a fact fully acknowledged by Hill and colleagues.105 By contrast with the small energy imbalance gap, the "maintenance energy gap" (previously referred to as the energy flux gap)106 is defined as the increased average energy intake rate to maintain the final bodyweight compared with the initial bodyweight. The maintenance energy gap accounts for the changes of energy expenditure that occur with weight gain. Figure 5B shows that the maintenance energy gap underlying the obesity epidemic in adults in the USA is about 0·9 MJ per day (220 kcal per day) when 2005 data are compared with 1978 data.35,36 This estimate is similar to an analysis of US energy intake trends107 showing an increase of about 0·8 MJ per day (190 kcal per day). Measurement error in intake or a decrease of physical activity over the same period could contribute to the small differences in these estimates. Nevertheless, the large change of average energy intake characterises the magnitude of the public health challenge to reverse obesity rates back to 1970s values. Our updated estimate of the maintenance energy gap underlying the increased average US adult bodyweight is slightly less than our previous estimates106,108 as a result of some issues with linear regression methods35,109 that have now been corrected. It is important to note that much larger changes are needed for obese individuals to return to the average bodyweight of the 1970s. For example, an adult with a BMI higher than 35 kg/m2, representing 14% of the US population,102 needs a change greater than 2 MJ per day (500 kcal per day).
Figure 5C plots our model's predicted average energy expenditure rate as a function of average bodyweight over the course of the 30-year weight gain along with energy expenditure data obtained in a cross-sectional sample with the doubly-labelled water method.106 The simple regression line relating the energy expenditure data to bodyweight has a remarkably similar slope compared with the dynamic model prediction (94±6 kJ/kg per day for linear regression versus the dynamic model slope of 100 kJ/kg per day). The magnitude of the slope determines the magnitude of average steady-state bodyweight change for a given dietary intervention. This result, along with the characteristic timescale described above, provides a simple approximate rule of thumb for prediction of the average impact of an intervention affecting energy intake: every permanent change of energy intake of 100 kJ per day will lead to an eventual weight change of about 1 kg (equivalently, 10 kcal per day per pound of weight change) and it will take about 1 year to achieve half of the total weight change and 95% of the total weight change will result in about 3 years.
By modelling the magnitude of the maintenance energy gap we can begin to estimate the potential effect of population-wide policy interventions. For example, the US Department of Agriculture (USDA) recently issued a report12 describing the potential effect on obesity prevalence of taxing caloric sweetened beverages. The authors estimated that a 20% tax would result in a decrease of overall energy intake by about 170 kJ per day (40 kcal per day). Using the rule that every change of diet of 2 MJ per day will result in about 0·5 kg of weight loss per week, the authors incorrectly predicted an average weight loss of about 1·8 kg per year. Extrapolating this static model prediction over 5 years results in a weight loss of about 10 kg bringing the average adult bodyweight down to values characteristic of the 1970s (figure 6), suggesting that a tax on sugar-sweetened beverages alone might be sufficient to reverse the US obesity epidemic. By contrast, our dynamic simulation model predicts that the USDA estimated decrease of average energy intake from taxing caloric sweetened beverages would result in about 1·8 kg (4 lb) of average weight loss after 5 years and about 1 kg (2·2 lb) of weight loss after 1 year (figure 6). In collaboration with the USDA, we recently used our dynamic simulation model as part of an income-stratified analysis of taxing sugar sweetened beverages and its potential effect on overweight and obesity prevalence in US adults.110
These results have important implications for gauging the ability of a policy change to mitigate the obesity epidemic. To better inform policy decisions, a dynamic model should be used to estimate both the magnitude and time course of expected weight change resulting from a given policy's predicted effect on energy balance rather than the inappropriate use of the 3500 kcal per pound rule.9,11,12 Alternatively, our proposed rule of thumb that 100 kJ per day per kg of weight change can be applied to estimate the steady-state weight differences between the presence and absence of an intervention—as was recently done to assess front-of-pack traffic-light nutrition labelling and a "junk food" tax.111 While even modest weight loss can be associated with substantial health benefits,112,113 we suggest that unrealistic weight loss expectations obtained by erroneous use of the static dieting rule should be replaced by our methods to assess other population-wide and more targeted obesity prevention interventions. Of course, our methodology only addresses the energy balance core of the obesity systems map1 and does not account for the dynamic complex web of interacting variables that might respond and adapt to policy level interventions.
This report describes how mathematical modelling of human metabolism has resulted in several important insights about weight change in adults. We have shown how inter-individual weight-loss variability resulting from the same intervention can be caused by differences in the initial body composition between individuals as well as the uncertainty about the baseline energy expenditure. We also showed that the timescale of human weight change is long and depends on the initial body composition. Furthermore, changes of energy intake can theoretically result in different weight changes compared with initially energy-equivalent changes of physical activity expenditure.
Although our mathematical models have been validated in various situations,7,29–32,34,36,37 dynamic simulation models have not yet been widely adopted for clinical weight management or informing policy discussions. Thus, we have created a web-based dynamic model to allow users to easily perform simulations. Our web-based instrument represents a substantial step forward from previously available predictions of weight change that rely on the erroneous use of common dieting rules.3–6 The bodyweight simulation tool will be updated to reflect continuing improvements in the model.
An important limitation of our simulations is that our model requires estimation of how an intervention affects both energy intake and physical activity. Once these parameters are specified, the model assumes perfect adherence to the intervention and does not automatically simulate any compensatory effects (eg, increased energy intake at the start of an exercise programme84,85). Although limited adherence and compensatory effects are likely to have a prominent role in the determination of overall weight change, their potential effect can be simulated by explicitly testing various hypotheses in the model.
We previously showed good agreement between the model's prediction of the relation between weight change and energy expenditure obtained with 24-h indirect calorimetry in Pima Indians after a 3-year follow-up.36,114 However, additional longitudinal validation studies over extended periods are needed, ideally with the doubly-labelled water method to assess longitudinal changes of free-living total energy expenditure.
Our mathematical model was developed to accurately simulate the physiology of weight change in adults. A similar model for children and adolescents is not yet available. The same notions of the energy imbalance gap and the maintenance energy gap can also apply to children, and previous mathematical models have focused on the quantification of the energy imbalance underlying the development of childhood obesity in various populations.17,115,116 However, these models are limited because they cannot accurately predict how a child's body weight trajectory will change in response to an intervention, because they do not account for the dynamic energy partitioning between fat and lean tissue during various phases of growth.117,118 Future work must address this issue.
In summary, accurate mathematical models of human metabolism are needed to properly assess the quantitative effect of interventions at both the individual and population levels. Widespread past use of erroneous rules for estimation of human weight change have led to unrealistic expectations about the potential effect of both behavioural and policy interventions. By modelling the quantitative physiology of human weight change and providing easy access to a web-based simulation tool, we believe that health-care and health-policy practitioners will be in a position to make better informed decisions.
This work was supported in part by the Intramural Research Program of the National Institutes of Health, NIDDK, and grants from the Robert Wood Johnson Foundation (#260639, #61468, and #66284), the US Centers for Disease Control and Prevention (U48/DP00064-00S1 and 1U48DP001946) and the Office of Behavioral and Social Sciences Research of the National Institutes for Health (#HHSN276200700356P). The funders had no role in the formulation of the major concepts, data analysis, data interpretation, or writing of the report. The authors received no payment for writing the report.
For more on our web-based model see http://bwsimulator.niddk.nih.gov
ContributorsAll authors jointly formulated the major concepts, and read and approved the final version of the manuscript. KDH led the writing of the report with the assistance of GS and CCC. YCW, SLG, and BAS provided comments on the report. KDH and CCC developed the mathematical model fully described in the webappendix and DC implemented the model in the web-based simulation tool under the direction of KDH.
Conflicts of interest
We declare that we have no conflicts of interest.
PubMed Central Canada is a service of the Canadian Institutes of Health Research (CIHR) working in partnership with the National Research Council's national science library in cooperation with the National Center for Biotechnology Information at the U.S. National Library of Medicine(NCBI/NLM). It includes content provided to the PubMed Central International archive by participating publishers.


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Comeback time for Forest Camp - again
DEL MAR, Calif. - For the second time, Forest Camp is attempting to revive a career that began with such promise in 1999.
Now a 4-year-old, Forest Camp tries to defend his title in Saturday's restricted $70,000 Pirate's Bounty Handicap over six furlongs at Del Mar, which will be his first start in 10 months.
At least Forest Camp is returning to his favorite track.
Forest Camp is unbeaten in three starts at Del Mar, including the Grade 2 Del Mar Futurity in 1999. He has never won at any other track.
Plagued by injuries, Forest Camp finished fourth in the Forest Hills Handicap at Belmont Park last October. He missed training earlier this year because of a hock infection.
His goal for this year is the Breeders' Cup Sprint at Belmont Park, according to Eduardo Inda, who took over training Forest Camp from Bob Baffert in early 2000.
Facing eight others, Forest Camp should be near the pace in the Pirate's Bounty, but is unlikely to lead. Freespool, who won the Phoenix Gold Cup and Oakland handicaps earlier this year, and Gibson County, the winner of the Answer Do Stakes on turf at Hollywood Park last month, will ensure a fast pace.
Forest Camp will likely stalk those two, along with Capo di Capo and Love All the Way, who are also contenders.
"He's training very good," Inda said of Forest Camp. "He's more relaxed now. He's 4 and he's not as speed crazy this time."
Inda envisions Saturday's race as a prep to the Ancient Title Breeders' Cup Handicap at Santa Anita on Oct. 6.
"If we're going to the Breeders' Cup, we need to get some points," Inda said.
The Pirate's Bounty was intended to be one of two restricted stakes on the undercard of Saturday's Palomar Handicap, but the other stakes, the El Cajon Stakes for 3-year-olds, did not draw a sufficient number of entries.
Palmeiro, who would have been a top contender in the El Cajon, will be pointed to the $150,000 Jerome Handicap at Belmont Park on Sept. 15, trainer John Sadler said.


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Because life's apparently just too short to have to actively combine one's alcohol with one's nitrous oxide, one welcomes word of Whipped Lightning, "the world's first deliciously-daring whipped cream." It's alcohol-fortified-whipped-cream-in-a-can, properly known as "whipahol," available in 4 flavors (Amaretto, Cinnamon, Orange, and Macadamia).
Personally, I prefer my cocktails made either out of whiskey and ice or by Jim Meehan, so I may well not be the appropriate market for this. The delightful Ezra Poundcake has some choice words on the subject, as do her commenters. Anyone care to weigh in?
Rupa Bhattacharya, Culinary Writer
*Yes, the AJC totally did the Devo lede first. Sorry.


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Governor Pat McCrory broke ground today on Sealed Air's new global headquarters in Charlotte. Sealed Air is a Fortune 500 company and global manufacturer of protective and specialty packaging for food and consumer goods.
"With plans to create more than 1,200 jobs for North Carolinians by 2017, Sealed Air will be a great corporate partner for Charlotte and our state," Governor McCrory said. "Attracting Sealed Air's headquarters shows companies around the world that North Carolina is a great place to do business."
Last July, Governor McCrory announced Sealed Air planned to relocate to Charlotte from its current headquarters in Elmwood Park, New Jersey. The company has four additional North Carolina locations in Hudson, Lenoir, High Point and Rockingham.
Sealed Air will invest $58 million through a long-term lease with a third-party developer who will construct a new, state-of-the-art facility for the global headquarters.
Salaries will vary by position, but the average annual wage will be $119,482. The average annual wage in Mecklenburg County is $59,046.


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Browse our Nissan Patrol photo gallery. View number of high quality new Nissan Patrol pictures. Photos of the exterior and interior of the Nissan Patrol. View exterior Nissan Patrol photos and pictures to see the car from all angles. Take your time to review every element of the Nissan Patrol including the headlights, side view curb side appeal,wheels,
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Question: Verify that the 1 year forward rate 3 years hence in
Verify that the 1-year forward rate 3 years hence in Figure 25.5 is 14.0134%.
View Solution:
View Solution:
Answer to relevant QuestionsWhat are the 1-, 2-, 3-, 4-, and 5-year zero-coupon bond prices implied by the two trees? Using Monte Carlo, simulate the process dr = a(b − r)dt + σdZ, assuming that r = 6%, a = 0.2, b = 0.08, φ = 0, and σ = 0.02. Compute the prices of 1-, 2-, and 3-year zero-coupon bonds, and verify that your answers match ...Suppose the yield curve is flat at 6%. Consider a 4-year 5%-coupon bond and an 8-year 7%-coupon bond. All coupons are annual. a. What are the prices and durations of both bonds? b. Consider buying one 4-year bond and ...Suppose the 7-year zero-coupon bond has a yield of 6% and yield volatility of 10% and the 10-year zero-coupon bond has a yield of 6.5% and yield volatility of 9.5%. The correlation between the 7-year and 10-year yields is ...Using Monte Carlo, compute the 95% and 99% 1-, 10-, and 20-day tail VaRs for the position in Problem 26.2.
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NCDOR Publishes Guidelines for Computing the Sales Factor Based on Market-Based Sourcing Principles
Session Law 2015-268 (H.B. 259) required the DOR to publish guidelines for computing the sales factor based on market-based sourcing on or before February 1, 2016. The Department has published two documents to meet this requirement.
The first document, "Introduction and Summary-Guidelines for Market-Based Sourcing" is a summary of market-based sourcing principles and includes tables that provide an easy reference tool for taxpayers.
The second document "Guidelines for Computing the Sales Factor Based on Market-Based Sourcing" is a detailed notice that includes numerous examples intended to assist taxpayers in understanding the provisions of market-based sourcing.
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So I just finished my son's birhtday cake. It's the most recent in my pics. I've never used cake and rice krispie treats together like that in a cake. I was so nervous that you would be able to tell the difference, but it came out really smooth. I did notice that is was kinda tricky to form the head and tail though. I made my krispies up, and smooshed them down and than formed them. Is there an easier way to do this?
I usually buy the premade rkts, then all you have to do is form them. Found it was easier. Was it difficult because the mix was too soft? Did you make them as the box tells you to do it? I think they tell you on here to use less of something (don't remember which ingred) to make it beret for carving and forming. Cake looks good though!
Thanks! The treats were pretty soft. That would likely be why I had to fights with it. I wonder what I should of used less of? Anyone???
less butter or margarine or leave it out altogether.
use less butter or margarine or leave it out altogether.
Thanks CakeRN! Will it still taste the same?
Yes....no taste difference....
As previous poster said, leave out the butter. The taste is pretty much the same. Also the RKT need to be cool. If you try to work with them while they are still warm, they will just stick to you and don't want to hold together. For smaller figures, I have found it is less costly and less of a hassle just to use store bought.
I considered store bought, but everyone knows my cakes for being completly made from scratch. The only thing I don't make on my own is gumpaste! I'll have to try leaving out the butter, and letting it cool more first next time.
Thanks everyone!


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What category of your opposite gender do you find it best to reach. Mediocre looks, pretty looks, beautiful looks. I mean if you are x do you go for your equal, a little more or a little less?
Most Helpful Girl
I've had all three! xD My first ex boyfriend was pretty mediocre, my second ex was a bit better looking and my current boyfriend is an absolute stunner and people tell him to become a model (my profile picture doesn't make him or me look flattering but I promise you, he's gorgeous!).
So I don't really go for a specific category, it's just if I like them or not. But I think if I can get a guy as gorgeous as my boyfriend, I'll be looking into the good looking - drop dead gorgeous category if (GOD FORBID!) things didn't work out with my current boyfriend, but I hope I'll never have to look again! :)00|00|0


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Sachi Organics
For over 30 years, Sachi has designed and manufactured high quality pillows to enrich and sustain the planet and those who inhabit it.
Sachi supports American farmers, utilizing raw products from organic farms in Texas, South Dakota, and California. They have built a solid network with organic farmers and trusted organic suppliers. Kapok from the silk plant is imported. All natural wool, organic buckwheat and millet hulls, organic cotton, natural kapok and natural latex — these are the materials you will find in Sachi pillows.
When you order a Sachi pillow, you are buying a pillow made with the purest, highest quality, certified organic & natural raw materials available. Each pillow is made individually — hand stuffed and machine stitched.
Mentioned in the New York Times, Sachi pillows are proudly made in New Mexico, USA. They contain no flame retardants and are chemical-free.
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|Message view
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|DO NOT REPLY [Bug 51352] Document Root Bug
|Tue, 12 Jul 2011 13:17:18 GMT
https://issues.apache.org/bugzilla/show_bug.cgi?id=51352 --- Comment #4 from Rich Bowen <firstname.lastname@example.com> 2011-07-12 13:17:18 UTC --- "/" is not a relative path. It's an absolute path, even on Windows. On Windows, "/" means "the root of whatever drive your ServerRoot is on", while you need to specify the drive letter "D:/" when you mean "a different drive from my ServerRoot." As for ServerRoot, if you don't specify it in the configuration file, it defaults to what was provided at build time, if anything, or to the per-platform default value. In the case of Windows, this is C:/apache2 I'll take a look at the docs referred to, but what you are describing seems to be completely consistent with the documentation you are quoting. If you have a specific suggestion as to how we could make this clearer, please feel free to share that with us. -- Configure bugmail: https://issues.apache.org/bugzilla/userprefs.cgi?tab=email ------- You are receiving this mail because: ------- You are the assignee for the bug. --------------------------------------------------------------------- To unsubscribe, e-mail: firstname.lastname@example.com For additional commands, e-mail: email@example.com
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Loch Ness Lodge Hotel3
Loch Ness Lodge Hotel Drumnadrochit, Loch Ness, IV63 6TU
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About the hotel
In a beautiful, tranquil location in the picturesque village of Drumnadrochit, beside one of the most famous and romantic stretches of water in the world, this traditional Scottish hotel dates back to around 1740. Set in acres of delightful woodland, the Loch Ness Lodge Hotel is just 14 miles (23 km) from the city of Inverness. With walks and cycle trails to nearby Urquhart castle, the hotel makes a great base from which to explore the highlands.
The hotel is within the grounds of the Nessieland Castle Monster Centre. facilities include Cinema, Exhibition, Coffee Shop and Children's Activity Centre. Children's Activity Centre free to hotel guests. This original Highland lodge is now a privately owned 3-star hotel offering 50 well-appointed rooms, rich in original character and traditional charm. All of the en suite rooms have telephones, TVs and tea/coffee making facilities. Free wireless internet access is available in all public areas. With traditional real log fires, the Pibroch Bar and the hotel's restaurant offer elegant and traditional cuisine, including carefully prepared Scottish produce, from hill venison and lamb to salmon and mussels from the West Coast.
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- Hotel Non-Smoking Throughout, Cots available, Tea/Coffee making facilities in each room, Hairdryer in each room, Telephone In Each Room, Childrens Facilities - Outdoor, Ground floor bedrooms
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- Car parking available onsite
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- Wi-Fi Available, Meeting Facilities, In-room Broadband, Wi-Fi Available In Public Areas, Secretary Service, Private dining services
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- Mountain Bike Hire, Fishing, Horse Riding, [Channels] News, [Channels] Sky Sports
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- Up to 16 years old
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- //Home
- //Music
- //News
- //Randall Bramblett
As he discusses by phone the contrasts behind his newest songs, Randall Bramblett is looking out his basement window.
Inside, on the line, talk touches on inspirations of loss, death and seemingly dashed faith that strike a soulful Southern nerve on his new album "Now It's Tomorrow." But through the glass, into the open air of a late summer morning, he can view the ageless beauty of the woods near his home in Athens, Ga.
The inevitable sadness and desolation of death; the unending joy and richness of a world still so vibrantly alive - welcome to just one set of seemingly opposing themes that continue to make Bramblett one of the most literate and engaging Southern songsmiths you probably have never heard.
"Even something like the drought we've been having down here plays a role in the music," said Bramblett. "Just using the drought as a metaphor. ... It's like writing about living in a painful world but always looking at the beauty of it, too.
"I can't fully explain what influences like that are, except that it's my experience you see all these terrible things happening in life, all these awful things that can leave you so discouraged. But, God, you look out at the world and it's just beautiful.
"So what do you do? You keep going."
And Bramblett, indeed, keeps going. He was a vital member of the Capricorn Records roster of artists out of Macon, Ga., that forged a national visibility for contemporary Southern music in the early '70s. In ensuing decades, Bramblett - a multi-instrumentalist versed in keyboards, saxophone and guitar - became a longtime ally of Steve Winwood. That association culminated with the induction ceremony of the band Traffic into the Rock and Roll Hall of Fame in 2004. At the celebration, Traffic played Dear Mr. Fantasy as a streamlined trio with Winwood on guitar, Jim Capaldi on drums and Bramblett on organ.
There have been scores of other affiliations. Bramblett has shared stages with Bonnie Raitt (who recorded "God Was in the Water," a 2001 tune Bramblett wrote with longtime bandmate Davis Causey), jammed with Widespread Panic and has frequently crossed paths with onetime Allman Brother Chuck Leavell. The latter's late '70s fusion/funk band Sea Level prominently featured Bramblett on four of its five albums.
But there is still the matter of Bramblett's own music. Listen to any of his seven solo recordings - the first, "That Other Mile," was in 1975, and the new "Now It's Tomorrow" surfaced in August - and you hear a poetic but highly unassuming Southern scribe at work.
Take "Blue Road" from "Now It's Tomorrow." It moves at a spry, jazzy gallop that suggests Steely Dan until Bramblett's scratchy Southern singing brushes aside all comparisons. That the tune's lyrics are considerably darker than the tune's sunny exterior only adds to the fun. The album-opening "Sun Runs" inverts the strategy with lyrics of frank emotional devotion set against a more ominous, percolating groove.
"I always feel uncomfortable when a song is just totally straightforward, when it heads only one way," Bramblett said. "I don't see life that way. I don't experience it that way, either."
In its most emotive moments, though, "Now It's Tomorrow" is unavoidably human. Figuring highly in two of the album's reflections on mortality are the deaths of Stuart Collins, Bramblett's tour manager (on "Some Mean God") and his mother (on "Where a Life Goes").
"It's kind of a child's question," Bramblett said of "Where a Life Goes." "'What's it like where you are?' I can't imagine that when someone dies they just disappear. I guess that's human nature. Songs like that just came bubbling up over the last two years."
All this suggests Bramblett's songwriting gifts are most abundantly displayed through his lyrics. But for insight into Bramblett's instrumental finesse, listen to how the light, autumnal tone of his soprano sax work glides alongside Leavell's piano melody on "Altamaha," a tune from the latter's all-instrumental 2005 album, "Southscape."
"As far as I'm concerned, Randall is the most treasured singer, songwriter and performer we have in the South," Leavell said in an interview last month. "I still can't understand why he's not a household name."
Why indeed? Bramblett also has wondered why he has remained a "best-kept secret" artist over the years.
"People like us when they hear us," Bramblett said. "It's just that they don't get to hear us these days. That can be hard after a while. It's a situation that's challenging, discouraging and frustrating. It's takes a lot of persistence and patience just trying to believe that what you're doing is worthwhile."
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Zeshan B Performs Late Night Set at Mercury Lounge After Colbert
// Notes from the Road
"Powerful Chicago soul-singer dips into the '60s and '70s while dabbling in Urdu, Punjabi and Italian.READ the article


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Lenovo IdeaCentre K410 Desktop PC - 3rd Gen. Intel Core i7-3770 3.40GHz, 8GB DDR3, 2TB HDD, DVDRW, 1GB NVIDIA GeForce GT 620, Windows 8 64-bit, Keyboard & Mouse, (57308564)Item#: T71-C1303 | Model#: 57308564
Currently Out Of Stock!
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Lenovo K410 Core i7 2TB HDD 8GB DDR3 Desktop PC Product Details
Additional Resources: Product Manuals
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Manufactured by: Lenovo
Warranty provided by: Lenovo
UPC No: 887263610005
Mfg Part No: 57308564
Box Size:
( Length:22, Width:11, Depth:22)
Shipping Weight: 26.9000 pound(s)
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Listing information
- Beds: 4
- Total Rooms: 13
- Parking Type Description: Attached 2 cars
- Total Square Footage: 2,748 ($90.98 per sq. foot)
- Estimated Annual Taxes: $3,601
- Subdivision: Grafton Township
- Style: Ranch/1-Story
- Baths: 3 (Full: 3 3/4: 0 1/2: 0 Other: 0)
- Stories: 1
- New Construction: No
- Lot Area: 4.00
- County: Lorain
- Year Built: 1977
- Status: Sold on 7/8/2016
- Fireplaces: 1
- Foreclosure: No
- Lot Size: 307x562
- School District: Midview Lsd
Available Financing Cash, Conventional, FHA/VA
Basement Detail Partial, Partially Finished
Basement Y/N Yes
Cooling Type Central Air, Heat Pump
Driveway Paved
Exterior Brick, Vinyl
Exterior Features Deck, Storage Shed/Out Bld
Fences Chain Link, Partial
Financing Conventional
Fixer Upper No
Garage Features Attached, Door Opener
Heating Fuel Electric
Heating Type Forced Air, Heat Pump
HOA Y/N No
Lot Description Lake-Stocked, Pond
Maint Fee Y/N No
Other Full Baths Lower - 0, Full Baths Main - 3, Full Baths Upper - 0
Possession Negotiable
Property Subtype Single Family
Roof Asphalt/Fiberglass
View Description Water View
Warranty Y/N Yes
Water Sewer Public Water, Septic
Rec Room - Recreation Room Lower
Workshop/Work Room - Workshop Lower
Additl. Living Suite First
Bedroom First
Bedroom First
Bedroom First
Foyer First
Great Room First
Kitchen First
Kitchen with Eating Space - Eat-in Kitchen First
Laundry Room First
Master Bath First
Master Bedroom First
Listing Courtesy of Keller Williams Grt Cleve SW


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Sustainability Performance of Scandinavian Corporations and their Value Chains assessed by UN Global Compact and Global Reporting Initiative standards - a way to identify superior performers?
- Authors:
- Subtitle:
- A case study of 67 Multinational Corporations based in Scandinavia
- Abstract:
- The purpose of this study was to introduce a combination of the two most adopted multi- stakeholder standards for sustainability reporting as an alternate framework for assessing sustainability performance in Scandinavian corporations. This novel approach leverages numeric measures on the criteria Strategies & Policies, Management Systems, Monitoring and Evaluation Mechanisms and Key Outcomes on sustainability defined broadly as the Human Rights, Labour, Environment and Anti-Corruption issues by the UN Global Compact. The study firmly concludes that Scandinavian corporations on average are not performing on higher levels concerning their implementation of these issues. The generalization of the results is moderated by the study's limitations concerning the framework and data sources used, sample size and the indirect use of GRI indicators. The uniqueness of the sustainability practice by two Danish and especially one Swedish corporation is highlighted, following their identification as superior performers across issues.
- Type:
- Journal article
- Language:
- English
- Published in:
- Ledelse and Erhvervsoekonomi, 2014, Vol 78, Issue 2, p. 7-36
- Keywords:
- Sustainability Performance; Multi-Stakeholder Standards; Sustainability Reporting; Sustainability Strategy; Performance Indicators; Best Practice
- Main Research Area:
- Social science
- Publication Status:
- Published
- Review type:
- Peer Review
- Submission year:
- 2014
- Scientific Level:
- Scientific
- 2185907869


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Good evening. I just joined this site while I was researching how to smoke a chicken. I'm from the Dallas, TX area and have an MES 30 I received last year from my awesome wife. I haven't smoked much so far - only ribs - but am trying my first chicken. It's been on for about an hour and a half so far. I tried the spatchcocked method but probably more butchered it since it was my first time but I'm sure the bird will turn out ok - just won't win any championships. Looking forward to learning from the folks on this site and smoking more this year. Thanks everyone for sharing your experience and advice.
Smoking Now - First Smoked Chicken
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20140216_191808.jpg 4,145k .jpg file
Thanks for the welcome Chuckles. It turned out well for the first attempt... couldn't take a pic fast enough before the vultures swept in. Smoked faster than expected. Brined for about 4 hours with 1/2 gallon water, 1/2 cup brown sugar and 1/4 cup salt (ionized, didn't have enough sea salt but after the fact forgot I had some pink Himalayan sea salt I could have added). Rubbed with EVOO, paprika and lemon pepper. Smoked at 250 in the MES for about 2 1/2 hours and it came out perfect on the quick read thermometer. Also had some red potatoes I smoked with it - with just a little EVOO, salt and pepper. Potatoes were a first time smoke as well. Looking forward to more smoking.
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Welcome from Maryland
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Hello and welcome from East Texas. This is a great site, lots of information and great people that are willing to throw in their two cents worth on about anything.
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