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A good family is not measured by family status. but measured by the happiness of living together in the family And a good family will be the foundation for every life in the family to have a strong mind. Have a good life attitude But if the family is not good, parents quarrel every day. They use violence until Chachin speaks rudely and yells at each other. Children in the house remember and use it outside. until it became a social problem. Or the adults in the house themselves will accumulate stress. and came to explode with outsiders until it became a problem Therefore, if we want to keep society safe We have to focus on safety in the family.

So if you want to keep a child from gambling online then all the online casinos should be regulated and monitored, not banned.

The same goes for terrorists. If you believe terrorist groups are exploiting an unregulated and unmonitored industry such as the online gambling industry, then by regulating it you can see where the money is going and make sure it is not going to fund international terrorist attacks. All that is accomplished by banning it is that the criminals get a stronger grip on the industry.

The ban on online gambling is much like the war on drugs. If marijuana was legalized in the USA crimes related to it would almost go away completely, because it would be sold in stores and it would be controlled, another advantage would be that people would no longer be going to jail for marijuana-related charges, this means thousands of fewer people getting arrested and going to jail every year, which would save us tax money that could be better spent.

By making online gambling in the USA a legalized form of adult entertainment it would also bring in an estimated 1.2 billion dollars in taxes to the American government. This money could be used for schools, police and universal healthcare for all Americans.

This is how you improve society, not by telling people what to do. It is human nature to want what we can not have so the more laws you put in place to stop people from doing something the better the chances are that people are going to do it.

People are just as likely to become addicted to gambling at a regulated casino as an unregulated one, but the difference is that in a regulated casino they will not extend you the amount of credit that will get you into trouble in an illegal casino.

And in a regulated casino, they will have information on how to get help if you have a gambling problem. In an illegal casino, they will not have this type of information, they want you to continue to gamble till you have nothing left, and then they will let you fall and find someone to take your place.

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In the long run, society can only prosper if we educate people on the dangers of gambling both online and in a casino, and not from banning an industry that employs thousands of people in countries all over the world. No one gains anything from just telling people they can not do something that they are going to do anyway.

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It is about time the government learned this and stopped making the same mistakes year after year.

Introduction

Nearly 7% of the world population is obese1 and about 66% of the adults in the United States are overweight or obese.2 Obesity is associated with a number of adverse medical conditions including increased risk of gallbladder disease, hypertension, type 2 diabetes mellitus, coronary heart disease (CHD), osteoarthritis, cancer death and reduced life expectancy.3–8 Obesity is also associated with adverse social and psychological consequences, including bias, discrimination and decreased quality of life.9,10

More effective treatment strategies are urgently needed for obesity management. The total caloric intake or energy density of one’s diet appears to be associated with obesity11–14 and a diet that induces a negative energy balance continues to be an important part of obesity management. Strategies to achieve the difficult task of eating less than desired include reduction of the energy density of foods by increasing food volume by the addition of fluids,15,16 bulk17–19 or their combination;20 or by increasing satiety by various anorectic drugs or macronutrient combinations of high satiety value.

Satiety is positively associated with the protein, fiber and water content of foods and negatively with fat and palatability ratings.21,22 However, within food groups, there may be as much as a twofold difference in satiety values, suggesting that certain foods promote greater satiety independent of macronutrient content or energy density. An egg is an example of such a food that has a 50% greater satiety index compared to white bread or ready-to-eat breakfast cereal.21 Compared to an isocaloric bagel breakfast of equal weight, an egg breakfast had a greater satiating effect, which translated into a lower caloric intake at lunch.23 The resulting decrease in energy consumption lasted for at least 24 h after the egg breakfast.

This study was undertaken to exploit the short-term satiating benefits of an egg breakfast23 for weight loss in a longer-term trial. The objectives were to determine if the incorporation of an egg breakfast in the diet by overweight or obese subjects would (1) induce reduced energy intake and unintentional weight loss, even when not attempting weight reduction; or (2) enhance weight loss when following a reduced energy diet. We compared the effects of an egg vs isocaloric bagel breakfast of equal weight on weight loss, indices of body size and composition, dietary compliance, food cravings and health-specific quality of life.Materials and methods

The study was approved by the institutional review boards at Pennington Biomedical Research Center and at Saint Louis University. Written informed consent was obtained from the participants. We certify that all applicable institutional and governmental regulations regarding the ethical use of human volunteers were followed during this research.

Participants

Of the 160 participants enrolled, 8 did not complete the trial. The final study sample included 152 participants (131 women and 21 men; mean age 45.0±9.4 years; black participants 47.7% and white participants 52.3%). Demographic characteristics of the participants are provided inTable 1