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Weight Gain Diet and Nutrition. If you’re naturally thin, then a proper weight gain diet becomes absolutely crucial in your endeavor to gain healthy lean muscle mass, probably far more so than your weight training program. Weight loss, in the context of medicine, health, or physical fitness, refers to a reduction of the total body mass, due to a mean loss of fluid, body fat or adipose. Learn the steps to designing weight gain programs that pack on muscle. Get the knowledge you need to get your program off the ground and putting on the pounds. On this page you will find the current #1 weight gain program on this site aimed specifically at hard gainers who struggle to put on weight. A gain weight diet includes learning how to eat the right foods to encourage the development of muscle mass and not fat gain. Weight-loss basics — everything from diet and exercise to weight-loss drugs and surgery. Read about how being underweight can affect your health and learn how to gain weight in a healthy way. Diet.com provides diet, nutrition and fitness solutions. Use our free weight loss tips and tools, healthy recipes and fitness videos to meet your weight loss goals today! Track and analyze your nutrition, weight loss, diet and fitness over the web. Its free and private! The purpose of this article is to outline the fundamentals of a good weight gain diet and then we’ll look at specifically what and when you could eat over a sample day. First up, is something you’ve almost certainly heard before. There is no escaping this basic law of human anatomy regardless of how many explanations you hear to the contrary. Admittedly some of us have faster metabolisms than others but that simply means that those who do need to eat even more again. The basis of any weight gain diet should contain nutritious, high calorie foods. If you find to hard to put on weight then the greatest challenge you face is to consume enough energy without feeling full all the time. Don’t worry it can be done! So how many calories should you consume? Well, there’s probably a separate formula for everyone who asks the question. Some base it solely on your weight and age, others take lean mass into account and the most complicated have you recounting every bit of activity during a typical day. It also briefly explains basal metabolism and why it’s important. To sum up, calorie counting isn’t much fun and this is not something you have to do long term. Once you establish a quantity of food and energy that maintains your ideal weight, you will know instinctively how much to eat each day. Protein. The issue of how much protein we should consume incites fierce debate between Nutritionists, Bodybuilders and Sports Scientists alike. We’ll leave the debate for another article dedicated to the protein issue. But this is for the average sedentary Westerner. A 1. 40lb person would need to consume about 5. RDA. Sports Scientists concede that athletes and bodybuilders need more than this and conservatively recommend up to 1. And they have some convincing arguments. In fact although in the minority at the moment the anecdotal evidence from bodybuilders is being backed up by some credible research. According to many lifters, coaches and some sports nutritionists an ideal weight gain diet should contain up to 2g per kg or 0. This might seem like a lot but don’t forget you are consuming more calories than the general population and those calories have to come from somewhere. Is it unhealthier that they come purely from carbohydrates or just from fat? It’s probably best it it comes form all three. So why is protein important? From a weight gain perspective protein is made up of amino acids. There are 2. 0 in total and 8 essential amino acids must come from food. Weight training increases the demand for amino acids and will break existing muscle down if it does not get enough from a weight gain diet. Without adequate protein, and more specifically, amino acids muscle gain is unachievable. Good sources of protein include fresh and canned fish, lean cuts of red meat, chicken, turkey, low fat milk and yogurt, low fat cottage cheese, egg whites, soy products and whey protein powder. Carbohydrate. Any weight gain diet worth its salt will contain plenty of unrefined carbohydrates. Just because you’re increasing your protein intake does not mean you should omit or even limit your carbohydrate intake. Carbohydrate, which is converted into glucose and glycogen in the body, is the only macronutrient that can supply your body with an immediate source of energy – essential for any type of training. Good sources of carbohydrate for a weight gain diet include whole meal bread, potatoes, brown rice, pasta, couscous, fresh and tinned fruit and dried fruit. Fat. Certain dietary fats are crucial to both your well being and your ability to gain weight. One gram of fat contains more than twice the number of calories than 1g or protein or 1g of carbohydrate. A tablespoon of Flaxseed Oil contains as many calories as a banana for example so it makes sense to incorporate good fats into your weight gain diet. Without going into too much detail about how fat is subdivided, the fats you want to consume are monounsaturated fats found in olive oil and avocados, and polyunsaturated fats found in oily fish, flax, sunflower, safflower and cod liver oil and some raw nuts. Essential Fatty Acids (EFA’s) are what the health care professionals love to talk about. EFA’s also known as Omega- 3 and Omega- 6 fatty acids are found in polyunsaturated fats, particularly oily fish. As well as having a numerous health benefits they also play an important role in muscle building. In short, a weight gain diet containing fish like mackerel, tuna and salmon (to name a few) or supplemented with a product like Flaxseed oil will not only help you build muscle but will keep you alive longer too. Meal Frequency. Finally, forget about eating 3 large meals a day with a few snacks. The best approach to an effective weight gain diet is to eat 5 or 6 small meals a day. Separate them by 3 hours so your stomach has time to digest each meal fully. If your goal is to consume 3. Kcals a day I would eat 3 larger meals of about 7. You will find an example in one of the articles below. One last point before we wrap up. Eat a variety of fruits and vegetables. They are the richest source of vitamins and minerals (particularly antioxidants) and have both health and weight gain implications. The elements above have the most influence of your level and rate of weight and muscle gain. 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Deterministic Finite Automata. Definition of a Deterministic Finite Automaton. How a DFA Processes Strings. Simpler Notations for DFA's. Extending the Transition Function to Strings. The Language of a DFAExercises for Section 2. Nondeterministic Finite Automata. An Informal View of Nondeterministic Finite Automata. Definition of Nondeterministic Finite Automata. The Extended Transition Function. The Language of an NFA. Equivalence of Deterministic and Nondeterministic Finite Automata. Ashutosh Trivedi – 3 of 19 Logistics: Contd. Ullman.Introduction to Automata Theory, Languages and Computation. Low priced paperback edition published by Pearson Education. Automata Theory, Languages, and Computation 3rd Edition, John Hopcroft, Rajeev Motwani, and Je rey Ullman, 2006. Catalog Description Grammars. Math preliminaries and introduction Finite Automata, Regular Expressions. A Bad Case for the Subset Construction. Exercises for Section 2. An Application: Text Search. Finding Strings in Text. Nondeterministic Finite Automata for Text Search. A DFA to Recognize a Set of Keywords. Exercises for Section 2. Finite Automata with Epsilon- Transitions. Uses of e- Transitions. The Formal Notation for an e- NFA. Epsilon- Closures. Extended Transitions and Languages for e- NFA's. Eliminating e- Transitions. Regular Expressions and Languages. Regular Expressions. The Operators of Regular Expressions. Building Regular Expressions. Precedence of Regular- Expression Operators. Finite Automata and Regular Expressions. From DFA's to Regular Expressions. Converting DFA's to Regular Expressions by Eliminating States. Converting Regular Expressions to Automata. Exercises for Section 3. Applications of Regular Expressions. Regular Expressions in UNIX. Lexical Analysis. Finding Patterns in Text. Exercises for Section 3. Algebraic Laws for Regular Expressions. Associativity and Commutativity. Identities and Annihilators. Distributive Laws. The Idempotent Law. Laws Involving Closures. Discovering Laws for Regular Expressions. The Test for a Regular- Expression Algebraic Law. Exercises for Section 3. Properties of Regular Languages. Proving Languages not to be Regular. The Pumping Lemma for Regular Languages. Applications of the Pumping Lemma. Exercises for Section 4. Closure Properties of Regular Languages. Closure of Regular Languages Under Boolean Operations. Reversal. Homomorphisms. Inverse Homomorphisms. Exercises for Section 4. Decision Properties of Regular Languages. Converting Among Representations. Testing Emptiness of Regular Languages. Testing Membership in a Regular Language. Exercises for Section 4. Equivalence and Minimization of Automata. Testing Equivalence of States. Testing Equivalence of Regular Languages. Minimization of DFA's. Why the Minimized DFA Can't Be Beaten. Exercises for Section 4. Context- Free Grammars and Languages. Context- Free Grammars. An Informal Example. Definition of Context- Free Grammars. Derivations Using a Grammar. Leftmost and Rightmost Derivations. The Language of a Grammar. Sentential Forms. Exercises for Section 5. Parse Tress. Constructing Parse Trees. The Yield of a Parse Tree. Inference, Derivations, and Parse Trees. From Inferences to Trees. From Trees to Derivations. From Derivations to Recursive Inferences. Exercises for Section 5. Applications of Context- Free Grammars. Parsers. The YACC Parser- Generator. Markup Languages. XML and Document- Type Definitions. Exercises for Section 5. Ambiguity in Grammars and Languages. Ambiguous Grammars. Removing Ambiguity From Grammars. Leftmost Derivations as a Way to Express Ambiguity. Inherent Ambiguity. Exercises for Section 5. Pushdown Automata. Definition of the Pushdown Automaton. Informal Introduction. The Formal Definition of Pushdown Automata. A Graphical Notation for PDA's. Instantaneous Descriptions of a PDA. Exercises for Section 6. The Languages of a PDA. Acceptance by Final State. Acceptance by Empty Stack. From Empty Stack to Final State. From Final State to Empty Stack. Exercises for Section 6. Equivalence of PDA's and CFG's. From Grammar to Pushdown Automata. From PDA's to Grammars. Exercises for Section 6. Deterministic Pushdown Automata. Definition of a Deterministic PDA. Regular Languages and Deterministic PDA's. DPDA's and Context- Free Languages. DPDA's and Ambiguous Grammars. Exercises for Section 6. Properties of Context- Free Languages. Normal Forms for Context- Free Grammars. Eliminating Useless Symbols. Computing the Generating and Reachable Symbols. Eliminating e- Productions. Eliminating Unit Productions. Chomsky Normal Form. Exercises for Section 7. The Pumping Lemma for Context- Free Languages. The Size of Parse Trees. Statement of the Pumping Lemma. Applications of the Pumping Lemma for CFL's. Exercises for Section 7. Closure Properties of Context- Free Languages. Substitutions. Applications of the Substitution Theorem. Reversal. Intersection With a Regular Language. Inverse Homomorphism. Exercises for Section 7. Decision Properties of CFL's. Complexity of Converting Among CFG's and PDA's. Running Time of Conversion to Chomsky Normal Form. Testing Emptiness of CFL's. Testing Membership in a CFL. Preview of Undecidable CFL Problems. Exercises for Section 7. Introduction to Turing Machines. Problems That Computers Cannot Solve. Programs That Print “Hello, World”. The Hypothetical “Hello, World” Tester. Reducing One Problem to Another. Exercises for Section 8. The Turing Machine. The Quest to Decide All Mathematical Questions. Notation for the Turing Machine. Instantaneous Descriptions for the Turing Machines. Transition Diagrams for Turing Machines. The Language of a Turing Machine. Turing Machines and Halting. Exercises for Section 8. Programming Techniques for Turing Machines. Storage in the State. Multiple Tracks. Shifting Over. Subroutines. Exercises for Section 8. Extensions to the Basic Turing- Machines. Multiple Turing Machines. Equivalence of One- Tape and Multitape TM's. Running Time of the Many- Tapes- to- One Construction. Nondeterministic Turing Machines. Exercises for Section 8. Restricted Turing Machine. Turing Machines With Semi- infinite Tapes. Multistack Machines. Counter Machines. The Power of Counter Machines. Exercises for Section 8. Turing Machines and Computers. Simulating a Turing Machine by Computer. Simulating a Computer by a Turing Machine. Comparing the Running Times of Computers and Turing Machines. Undecidability. A Language That is Not Recursively Enumerable. Enumerating the Binary Strings. Codes for Turing Machines. The Diagonalization Language. Proof That Ld is Not Recursively Enumberable. Exercises for Section 9. An Undecidable Problem That is RE. Recursive Languages. Complements of Recursive and RE Languages. The Universal Language. Undecidability of the Universal Language. Exercises for Section 9. Undecidable Problems About Turing Machines. Reductions. Turing Machines That Accept the Empty Language. Rice's Theorem and Properties of the RE Languages. Problems About Turing- Machine Specifications. Exercises for Section 9. Post's Correspondence Problem. Definition of Post's Correspondence Problem. The “Modified” PCP. Completion of the Proof of PCP Undecidability. Exercises for Section 9. Other Undecidable Problems. Problems About Programs. Undecidability of Ambiguity for CFG's. The Complement of a List Language. Exercises for Section 9. Intractable Problems. The Classes P and NP. Problems Solvable in Polynomial Time. An Example: Kruskal's Algorithm. Nondeterministic Polynomial Time. An $\cal NP$ Example: The Traveling Salesman Problem. Polynomial- Time Reductions. NP- Complete Problems. Exercises for Section 1. An NP- Complete Problem. The Satisfiability Problem. Representing SAT Instances. NP- Completeness of the SAT Problem. Exercises for Section 1. A Restricted Satisfiability Problem. Normal Forms for Boolean Expressions. Converting Expressions to CNF. NP- Completeness of CSAT. NP- Completeness of 3. SAT. Exercises for Section 1. Additional NP- Complete Problems. Describing NP- Complete Problems. The Problem of Independent Sets. The Node- Cover Problems. The Directed Hamilton- Circuit Problem. Undirected Hamilton Circuits and the TSP. Summary of NP- Complete Problems. Exercises for Section 1. Additional Classes of Problems. Complements of Languages in NP. The Class of Languages Co. NP. NP- Complete Problems and NP. Exercises for Section 1. Problems Solvable in Polynomial Space. Polynomial- Space Turing Machines. Relationship of PS and NPS to Previously Defined Classes. Deterministic and Nondeterministic Polynomial Space. A Problem That Is Complete for PS. PS- Completeness. Quantified Boolean Formulas. Evaluating Quantified Boolean Formulas. PS- Completeness of the QBF Problem. Exercises for Section 1. Language Classes Based on Randomized Algorithm. Quicksort: an Example of a Randomized Algorithm. A Turing- Machine Model Using randomization. The Language of a Randomized Turing Machine. The Class RP. Recognizing Languages in RP. The Class ZPP. Relationship Between RP and ZPP. Relationships to the Classes P and NP. The Complexity of Primality Testing. The Importance of Testing Primality. Introduction to Modular Arithmetic. The Complexity of Modular- Arithmetic Computations. Random- Polynomial Primality Testing. Nondeterministic Primality Tests. Exercises for Section 1. Free Download Latest Pro Evolution Soccer Patch. PES 2. 01. 7 PS4 DFL Option File 2. Cristiano. 92 . This will enable Bundesliga to your Pro Evolution Soccer 2. Features . – FULL BUNDESLIGA (emblems, kits, complete squads, manager, stadiums). FULL PREMIER LEAGUE, LA LIGA, SERIE B and LIGA NOS (emblems, kits, squads). ALL EMBLEMS for Championship other teams. COMPATIBLE WITH FIRST KONAMI TRANSFER UPDATEInstallation . 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American, US Air Frequent Flyer Integration Begins. Following the completion of their merger in December, American and US Airways promised that their customers could expect to see some merger- related benefits as soon as January 7. It was a promise without much in the way of detail, and might have been overlooked or forgotten in the post- merger hoopla. But, good to their word, American and US Airways today announced that the following measures will take effect immediately: AAdvantage members can earn and redeem miles for US Airways flights. And reciprocally, Dividend Miles members can earn and redeem for American flights. Miles will count toward elite status in either carrier’s program. Elite members of the two airlines’ programs will enjoy some reciprocal perks: first and business class check- in, priority security and priority boarding, complimentary access to preferred seats, priority baggage delivery, and checked bags at no charge. American, US Air Frequent Flyer Integration. Miles will count toward elite status in either carrier’s program. A frequent flyer program is at its most basic. Korean Air, American Airlines. Members of the Star Alliance include US Airways, Air New Zealand, Air Canada, Lufthansa. 75,000 Bonus Qantas Frequent Flyer Points, After first eligible purchase within the first 3 months. T&Cs, Min Spend Apply American Airlines’ AAdvantage frequent flyer program will supersede. Delta Air Lines supports the Red Cross by allowing its SkyMiles customers to donate their frequent. US Airways frequent flyers will be merged into American Airlines loyalty. That differs from American s biggest competitors, Delta Air Lines and United. American s AAdvantage frequent flyer program has three. Members of the two airlines’ airport lounge clubs will have access to the combined network of 3. American Admirals Club and 1. US Airways Club lounges. Additionally, American AAdvantage Citi Executive cardholders will have access to US Airways Clubs. Among the additional changes promised “in the coming months”: more reciprocal frequent flyer program benefits, including upgrades; a codeshare agreement; US Airways’ exit from the Star Alliance (March 3. March 3. 1, 2. 01. Miami and Phoenix. This is a nice down payment on complete benefits consolidation. And the speedy implementation is a positive sign for the integration overall. Full integration of the two airlines is expected to take between 1. This article originally appeared on Frequent. |
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December 2016
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