...Weight training: A low carber's secret weapon You probably know someone who has lost a lot of weight on a low-carb diet. Maybe even you have found success with a low-carb diet. You don't have to go far to hear one of the many low-carb success stories -- just eavesdrop on conversations in restaurants or grocery stores and you'll hear about how someone's brother-mother-sister-or-friend lost a gazillion pounds by forgoing bread, fruit and pasta. Unfortunately, many of these success stories come with the same unhappy ending -- you or your brother-mother-sister-or-friend gain all the weight back and then some because you or they didn't stick to the low-carb lifestyle. Judging yourself by numbers So begins the vicious cycle of low-carb yo-yo dieting....
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...Weight Training for Men to Lose Weight By Steve Knorr | Submitted On April 27, 2012 Recommend Article Article Comments Print Article Share this article on Facebook Share this article on Twitter Share this article on Google+ Share this article on Linkedin Share this article on StumbleUpon Share this article on Delicious Share this article on Digg Share this article on Reddit Share this article on Pinterest Expert Author Steve Knorr There are many health benefits associated with weight training for men. This is because it improves muscle function and size, neural activity and also increases the bone density. This ensures that as we age, movement does not become a problem as a result of stiff joints since most men who don't do some exercise have trouble just walking up the stairs or even moving around. Weight training for men will...
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...Personal Training Paper Dana Cooper November 12, 2012 HPE/170 Debbie Polisky Personal Training Paper The purpose of this paper is to analyze my personal exercise habits. In doing so, I will discuss my exercise habits as they relate to volume, intensity, frequency (density). I will describe my exercise habits and explain how I would like to incorporate them into my personal training. I will also explain why locomotion movements, non-locomotion skills, and object manipulation skills should be taken into consideration when planning a physical development program as well as how I will personally include them into my own exercise habits for personal training and why. In addition, I will explain how each different energy system is affected by my exercise habits and which ones are more prevalent in my planning. I will also provide a list of units of exercise and the time required to enhance physical adaptation as well as a description of the impact of exercise as it relates either aerobic or anaerobic power. An explanation will also be provided of the relationship between the time I need and the time I need to allow my body to regenerate and rest as well as identifying potential issues in developing motor skills and motor learning from my exercise habits. Finally, I will present list changes or additions to my training program which is designed to enhance fitness. Dana’s Exercise Habits In the past couple years I have had to reevaluate the way I eat as well as...
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...Oil Price Prediction using Artificial Neural Networks Author: Siddhant Jain, 2010B3A7506P Birla Institute of Technology and Science, Pilani Abstract: Oil is an important commodity for every industrialised nation in the modern economy. The upward or downward trends in Oil prices have crucially influenced economies over the years and a priori knowledge of such a trend would be deemed useful to all concernd - be it a firm or the whole country itself. Through this paper, I intend to use the power of Artificial Neural Networks (ANNs) to develop a model which can be used to predict oil prices. ANNs are widely used for modelling a multitude of financial and economic variables and have proven themselves to be a very powerful tool to handle volumes of data effectively and analysing it to perform meaningful calculations. MATLAB has been employed as the medium for developing the neural network and for efficiently handling the volume of calculations involved. Following sections shall deal with the theoretical and practical intricacies of the aforementioned model. The appendix includes snapshots of the generated results and other code snippets. Artificial Neural Networks: Understanding To understand any of the ensuing topics and the details discussed thereof, it is imperative to understand what actually we mean by Neural Networks. So, I first dwell into this topic: In simplest terms a Neural Network can be defined as a computer system modelled on the human brain and nervous system...
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...interests has been a critical topic in recommender system research. In this paper, we propose a new personalized recommendation framework by leveraging and enhancing overlapping community concepts from complex network analysis literature and developing a time-weighted association rule mining method. Experiment results show that our proposed approach outperforms several existing methods in recommendation precision and diversity. Keywords: personalized recommendation; overlapping community; time-weighted association rules; user interests 1. Introduction Recommender systems have been implemented by many commercial websites, such as Amazon and eBay, to help users discover products of their interests. High-quality recommender algorithms and strategies can greatly increase profits and improve user loyalty. One of the most important aspects in personalized recommendation is the user interest modeling. Most of the conventional user interest models are static models, such as the user-based collaborative filter model, assuming that the users’ interests do not change over time. However, users’ interests are rather dynamic, e.g., users may prefer different styles of clothes at different ages. Users’ interests for products like music and movie are even easier to change. Therefore, it is critical to capture user interest change over time in order for the recommender system to predict users’ preferences more accurately. In this paper, we propose a novel recommendation model based on overlapping...
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...episodes of binge eating are also part of a range of weight related problems. Life is a constant battle between the desires to lose weight. The dissatisfaction and unhealthy dieting practices are linked to the development of eating disorders, obesity and other problems. Obesity is the number one problem for those who are in a constant battle; many obese people who lose large amounts of weight and gain it back think it is their fault. They blame themselves for not having the will power to keep the weight off. Many people regain more weight than they lost because they become obsessed with food. A person who suffers from obesity follows an unhealthy diet, and has an eating disorder all at the same time, and that is how they eventually end up with Bulimia. This illness which is when the person binges on food or has regular episodes of over eating and feels out of control. The person then uses different method such as vomiting or abusing laxatives to prevent weight gain. The case study that I am going to be researching and writing a paper on is Bulimia nervosa and how it can be extremely harmful for the body. The study focuses on how physical exercise can help overweight patients with bulimia. Also whether it is beneficial or if it is not beneficial for those who suffer from it. This case also demonstrated what physical exercise can do to them in six weeks which is from a study that was done on obese women. The purpose of the research is to tell that obesity has been identified as a...
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...Sushil Nagar Market research and image Analysis Student No. 28044 Project on Fitness Studios Table of Contents 1. MARKET RESEARCH ON FITNESS STUDIOS page(4,5) 2. A)Introduction Page(5,6) B) After World War 2 page(6,7,8) 3. The Birth of American Health page(9,10) 4. Marketing (page 10,11,) (a) Television Viewing (b)Observation 5. Interviews (Page 11, 12, 13) (A)Face to Face Interviews (B)Household Interviews 6. Final Survey (Page 14) 7. Results of the Survey (Page 15, 16, 17, 18) 8. Negative Feedback (Page 19) 9. Customer Satisfaction (Page 20) 10. Unique Fitness Clubs (page 21) 11. Challenges and Opportunities (Page 22, 23) 12. Conclusion (Page 24) 13. Appendices (page 24) 14. References (Page 25) MARKET RESEARCH ON FITNESS STUDIOS Taking a practical action-oriented approach, and focusing on established, need to know subjects. This seminar paper of mine will reflect market research on Fitness Studios in International Business Environment. This series will concentrate on developing practical texts. I made best efforts I could to ensure that each title that this research remains international in both content and research and gives a clear picture. Overall this paper will produce a body of work that will enhance international awareness about marketing research on fitness studios. Note:- I made every possible effort to ensure...
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...PERFORMANCE MANAGEMENT 1 Objective Objective of this policy is to set a process for managing the performance of the employees so as to achieve the ultimate objective of the organization. By adopting this policy we aim to attain the following objectives: 1 To help employees setting their priorities (objectives) right at the beginning of the year; 2 To align the individual/employees objectives with departmental objectives and the departmental objectives with the organizational objectives; 3 To enable/facilitate evidence based decision making in: a. Determination of compensation packages, wage structure, Salaries adjustment/raises, etc.; b. Employees retention, succession planning, Training &development 4 To identify the strengths and weaknesses of employees to place right men on the right job; 5 To maintain and assess the potential present in a person for further growth and development; 6 To provide a feedback to employees regarding their performance and related status; 7 To improve the working habits of the employees. 2 Scope This policy is applicable to all regular employees of the Organization. 3 Accountabilities 4.1 The Vice Chancellor (VC)/Executive Director (ED) – Based on the five years plan shall ascertain the key result areas for the year. 4.2 Deans shall ascertain their individual faculty’s contribution to achieve the key result areas set by the VC/ED and shall be responsible for the development...
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...I hope that I am on the right track as I attempt to complete this paper. I hope and pray to be finish by week 8 no later than week 9. Annotated Outline for Lookism and Weight I. Introduction A. Love the Body You Have B. Diversity Concepts, Research, Theories and Multicultural II. Weight- Discriminations and Lookism A. Ways Obese Individuals are Discriminated Against B. Weight Discrimination Explained through theories C. Theories to Reduce Weight Discrimination III. Ethnic and Cultural Awareness A. Personal Cultural Competence and Action Plan IV. Conclusion V. Reference Annotated Bibliography Aiken, Jane H. (2007). Striving to Teach “Justice, Fairness, and Morality”. Clinical Law Review, 5, pp 1-67. This article discusses justice means giving each person what he or she deserves or, in more traditional terms, giving each person his or her due. Justice and fairness are closely related terms that are often today used interchangeably. Brownell, K., & Puhl, R. (2004). Stigma and discrimination in weight management and obesity. The Permanenie Journal, 7 (3), pp. 21-23. This articles discuss clear discrimination against overweight people has been documented in three areas: education, health care, and employment. The reason for this appears to be very strong anti-fat attitudes. Constantine, M., Hage, S....
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...Title :Wind speed prediction using Artificial Neural Network (ANN) Abstract : The crisis of fossil based fuel around the world has led to the research of Renewable Energy sources. One of the oldest sources of Renewable energy was using the wind to generate electrical or mechanical power using windmills. To use it efficiently the wind speed which determines the wind power must be known beforehand. Wind speed is a random variable depending on meteorological variables like atmospheric pressure,temperature,relative humidity & such. Methods that are currently being applied to predict wind speed are Statistical, Intelligent systems, Time series, Fuzzy logic, neural networks.Our focus will be on using Artificial Neural Network to predict the wind speed in daily basis in this report. Chapter 1 1.1 Introduction Bangladesh has a 724 lm long coastal area where south-westerly tradewind& sea breeze makes the usage of wind as a renewable energy source very visible. But, not much systematic wind study has been made, adequate information on the wind speed over the country and particularly on wind speeds at hub heights of wind machines is not available. A previous study (1986) showed that for the wind monitoring stations of Bangladesh Meteorological Department (BMD) the wind speed is found to be low near the ground level at heights of around 10 meter. Chittagong – Cox’s Bazar seacoast and coastal off-shore islands appeared to have better wind speeds. Measurements...
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...have found that the KNN algorithm accomplishes very good performance in their experiments on different data sets. The traditional KNN text classification algorithm has three limitations: (i) calculation complexity due to the usage of all the training samples for classification, (ii) the performance is solely dependent on the training set, and (iii) there is no weight difference between samples. To overcome these limitations, an improved version of KNN is proposed in this paper. Genetic Algorithm (GA) is combined with KNN to improve its classification performance. Instead of considering all the training samples and taking k-neighbors, the GA is employed to take k-neighbors straightaway and then calculate the distance to classify the test samples. Before classification, initially the reduced feature set is received from a novel method based on Rough set theory hybrid with Bee Colony Optimization (BCO) as we have discussed in our earlier work. The performance is compared with the traditional KNN, CART and SVM classifiers. Keywords: k-Nearest Neighbor, Genetic Algorithm, Support Vector Machine, Rough Set. training samples must be calculated. When the number of training samples is less, the KNN classifier is no longer optimal, but if the training set contains a huge number of...
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...A Review of ANN-based Short-Term Load Forecasting Models Y. Rui A.A. El-Keib Department of Electrical Engineering University of Alabama, Tuscaloosa, AL 35487 Abstract - Artificial Neural Networks (AAN) have recently been receiving considerable attention and a large number of publications concerning ANN-based short-term load forecasting (STLF) have appreared in the literature. An extensive survey of ANN-based load forecasting models is given in this paper. The six most important factors which affect the accuracy and efficiency of the load forecasters are presented and discussed. The paper also includes conclusions reached by the authors as a result of their research in this area. Keywords: artificial neural networks, short-term load forecasting models Introduction Accurate and robust load forecasting is of great importance for power system operation. It is the basis of economic dispatch, hydro-thermal coordination, unit commitment, transaction evaluation, and system security analysis among other functions. Because of its importance, load forecasting has been extensively researched and a large number of models were proposed during the past several decades, such as Box-Jenkins models, ARIMA models, Kalman filtering models, and the spectral expansion techniques-based models. Generally, the models are based on statistcal methods and work well under normal conditions, however, they show some deficiency in the presence of an abrupt change in environmental or sociological variables...
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...Carbohydrates are Killing Us Softly Thomas J. Engstrom Western Governors University WGU Student ID# 000529592 Carbohydrates are Killing Us Softly The nutritional dietary consumption of carbohydrates is between 55-75% for the vast majority of the global population as their main source of food intake and energy. And the general populous continues to be misinformed by government agencies regarding what a normal, healthy diet, should be, as well as what a balanced diet looks like. Eating a low-carb high-fat, or ketogenic, diet of high fat, adequate protein and low carbohydrates can provide many health benefits as compared to the alternative of an unhealthy diet. Research suggests that a ketogenic diet builds a healthier body than other diets because it will lead to weight loss, improved blood pressure, and reduce appetites. The ketogenic diet is the foundation for a healthy life. As noted by Dr. Eenfeldt (2014), The ketogenic diet has been referred to by different names, such as: the keto diet, low carb diet, low carb high fat (LCHF), and to some degree the Adkins Diet. The ketogenic diet is a well known diet for being associated with consuming a low amount of carbohydrates, a moderate amount of protein and high amount of fat, where the body produces ketones in the liver to be used as energy (Taubes, 2008). With a diet high in carbohydrates your body will produce glucose and insulin. Glucose is the easiest molecule for your body to convert and use as energy, so it will...
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...to be a significant factor in the management and treatment of diabetes. What is unknown is how benefits from physical activity directly correlate to glucose control as manifested in low glucosylated hemoglobin (HbA1c) levels in diabetic people. The study aims to prove that the decrease in HbA1c is a result of greater aerobic fitness and strength in patients that are performing aerobic or anaerobic exercise. Secondly, it is related to the changes in strength and aerobic fitness that are performing cardiovascular exercise and resistance training. Review of Literature The purpose of the article is to assess the correlation of reduced HbA1c to physical activity. It is hypothesized that this reduction is related to the changes and increase in aerobic fitness and strength in diabetic people who are engaged in aerobic and anaerobic exercise. The result from the study showed that the link between the changes in glucose control during exercise training is not that high nevertheless; physical activity offers health benefits to diabetic patients. Methodology The study used experimental method by randomized controlled trial. Random sampling of 251 patients between 39-70 years old with type 2 diabetes mellitus that were previously sedentary was allocated aerobic, resistance, or aerobic plus resistance, or to a control group that was sedentary. The participants were evaluated prior to...
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...Minimal ANN (MANN) model for Data Classification Gunanidhi Pradhan, Bhubanananda Orissa School of Engineering, Cuttack gunanidhi_p@rediffmail.com Gadde Vyshnavi Kalyan,Final Yr IT,ANITS vyshv.sanjana@gmail.com Suresh Chandra Satapathy, MIEEE, Anil Neerukonda Institute of Technology & Sciences (ANITS), Vishakapatnam Dist sureshsatapathy@ieee.org Bhabatosh Mitra,FM University, Balasore bhaba_mit@yahoo.co.uk Sabyasachi Pattnaik,,FM University, Balasore spattnaik40@yahoo.co.in Abstract- Data Classification is a prime task in Data mining. Accurate and simple data classification task can help the clustering of large dataset appropriately. In this paper we have experimented and suggested a simple ANN based classification models called as Minimal ANN ( MANN) for different classification problems. The GA is used for optimally finding out the number of neurons in the single hidden layered model. Further, the model is trained with Back Propagation (BP) algorithm and GA (Genetic Algorithm) and classification accuracies are compared. It is revealed from the simulation that our suggested model can be a very good candidate for many applications as these are simple with good performances. Keywords- ANN, Genetic Algorithm, Data classification I. INTRODUCTION Data classification is a classical problem extensively studied by statisticians and machine learning researchers. It is an important problem in variety of engineering and scientific disciplines such as biology, psychology, medicines, marketing...
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