Abstract: Heart attacks, or myocardial infarctions, are a leading cause of mortality worldwide. Early prediction and accurate analysis of potential risk factors play a crucial role in preventing heart attacks and improving patient outcomes. In this study, we conduct a comprehensive review of datasets related to heart attack analysis and prediction. We begin by examining the various types of datasets available for heart attack research, encompassing clinical, demographic, and physiological data. These datasets originate from diverse sources, including hospitals, research institutions, (...) and public health agencies. Our analysis aims to identify common features, data quality, and potential biases in these datasets. Next, we explore the predictive modeling techniques employed in heart attack prediction. Machine learning algorithms, such as decision trees, support vector machines, and deep neural networks, have gained prominence in predicting heart attacks. We discuss the strengths and limitations of these methods and highlight recent advancements in predictive modeling. Furthermore, we delve into the critical risk factors associated with heart attacks. Factors such as age, gender, hypertension, diabetes, and cholesterol levels are examined for their significance in predicting cardiac events. We also investigate the role of lifestyle factors, including smoking, diet, and physical activity, in heart attack risk assessment. Additionally, this review addresses the importance of data preprocessing and feature engineering in improving prediction accuracy. Feature selection methods, missing data handling, and data scaling techniques are discussed to enhance the robustness of heart attack prediction models. In conclusion, this comprehensive dataset review provides valuable insights into the state of heart attack analysis and prediction. It serves as a resource for researchers and healthcare professionals seeking to better understand the datasets available for heart attack research and the methods employed for accurate prediction. Ultimately, our efforts in dataset analysis and predictive modeling contribute to the advancement of preventive cardiology and the reduction of heart attack-related morbidity and mortality. (shrink)

Is shadowboxing an effective form of functional exercise? What physiological and morphological changes result from an exercise program based exclusively on shadowboxing for 3 weeks? To date, no empirical research has focused specifically on addressing these questions. Since mixed martial arts (MMA) is the fastest growing sport in the world, and since boxing and kickboxing fitness classes are among the most popular in gyms and fitness clubs worldwide, the lack of research on shadowboxing and martial arts-based fitness programs in the (...) extant literature is a shortcoming that the present article aims to address. This case study involved a previously sedentary individual engaging in an exercise program based exclusively on shadowboxing for 3 weeks. Body composition and heart rate data were collected before, throughout, and upon completion of the 3-week exercise program to determine the effectiveness of shadowboxing for functional fitness purposes. An original shadowboxing program prepared by an Everlast Master Instructor and NASM Certified Personal Trainer (NASM-CPT) and Performance Enhancement Specialist (NASM-PES) was used for this 3-week period. The original shadowboxing program with goals, techniques, and combinations to work on throughout the 3-week program is included in this article. This case study demonstrates that a 3-week exercise program based exclusively on shadowboxing can increase aerobic capacity, muscle mass, bone mass, basal metabolic rate, and daily calorie intake, and decrease resting heart rate, fat mass, body fat percentage, and visceral fat rating in a previously sedentary individual. The results of this research demonstrate that shadowboxing can be a safe and effective form of exercise leading to morphological and physiological improvements including fat loss and increased aerobic capacity. The results of this research also demonstrate that the Tanita BC-1500 is a reliable tool for individuals to evaluate their own fitness progress over time. (shrink)

Abstract: This study has effectively tackled the critical challenge of accurate calorie prediction in dishes by employing a robust neural network-based model. With an outstanding accuracy rate of 99.32% and a remarkably low average error of 0.009, our model has showcased its proficiency in delivering precise calorie estimations. This achievement equips individuals, healthcare practitioners, and the food industry with a powerful tool to promote healthier dietary choices and elevate awareness of nutrition. Furthermore, our in-depth feature importance analysis has shed light (...) on the indispensable role played by specific nutritional attributes in calorie estimation. This unveiling of crucial factors provides valuable insights for further research endeavors and practical applications. Notably, this research extends its impact beyond the immediate context by making substantial contributions to the domains of nutrition science and dietary planning. It underscores the transformative potential of artificial intelligence, demonstrating how it can revolutionize our approach to food, nutrition, and health. As the world grapples with the challenges of diet-related health issues and environmental concerns, the accuracy and precision achieved in calorie prediction through neural networks represent a significant stride towards more informed and conscientious dietary practices. In this era of data-driven decision-making, our research paves the way for healthier lifestyles, heightened nutritional awareness, and a more health-conscious society. (shrink)

The belief that obese people ought to lose weight and keep it off is widespread, and has a profound negative impact on the lives of the obese. I argue in this paper that most obese people have no such obligation, even if obesity is bad, and caused by calorie input exceeding output. Obese people do not have an obligation to achieve long-term weight loss if this is impossible for them, is worse than the alternative, or requires such an enormous effort (...) in relation to what stands to be gained that this option is supererogatory rather than obligatory. It is highly plausible that most obese people fall into one of these three groups. Politicians may still have obligations to fight obesity, but they ought to do so through progressive politics rather than blaming and shaming. (shrink)

New York City has extensive public health regulations. Some regulations aim to reduce smoking, and they include high cigarette taxes and bans on smoking in public places such as bars, restaurants, public beaches, and public parks. Other regulations aim to combat obesity. They include regulations requiring display of calorie information on some restaurant menus and the elimination of transfats in much public cooking. One important issue is whether New York City officials -- including both public health officials and other city (...) officials -- have adequately explained the justification to the public. Explanation has practical importance; the public might not back controversial and restrictive regulations unless offered a good rationale. But explanation is also an official duty, since public officials should make their reasoning transparent to their constituents. This article argues that New York City has not adequately communicated the rationales for its regulations to the public. It then offers several suggestions for improving public communication. After laying out those suggestions, this article points out that even if communication were improved, New York City’s regulations would still raise difficult philosophical issues. Those issues are briefly discussed in the final sections. NOTE: this is a reprint of a conference presentation. (shrink)

The human being has selected a variety of domesticated plants that gives a benefit, and also significant in food production. The origin of these plants mostly in Central Asia such as China having great variety of crops such as oats, barley, sesame, pumpkin, sorghum, asparagus, pear, apple and citrus etc. While centers of origin such as Mexico and Central America have great diversity in corn, beans, squash, maguey, nopal, sunflower, avocado, cocoa etc. In many countries poor nutrition is a current (...) trend, due to lifestyle and impure food. This is a time to invest in preparation the triggered consumption of highly processed products, rich in calories, saturated fat, sugar and salt, but poor in protein content, fiber and micronutrients. It is necessary to return a more diversified diet. It is well known that ancient cultures included cultivated and wild plants in their diet, from which they consumed their stems, leaves, roots, flowers and fruits, whose nutritional and medicinal benefits were known through experience and also transmitted from generation to generation. (shrink)

“ A man orders a whole pizza pie for himself and is asked whether he would like it cut into eight or four slices. He responds, ‘Four, I’m on a diet ”’ (Noël Carroll) -/- While not hilarious --so funny that it induces chortling punctuated with outrageous vomiting--this little gem is amusing. We recognize that something has gone wrong. On a first reading it might not compute, something doesn’t quite make sense. Then, aha! , we understand the hapless dieter has (...) misapplied general rules of thumb, mental short-cuts, or heuristics, that we were also initially committed to and that would usually be good enough to rely upon— fewer slices equals fewer calories; diets require fewer calories, etc—but in this particular case they fail, and the feeling of mirth is our reward for making this discovery. We don’t say all of that after a punchline, of course, but that’s what is happening according to the Humor as Error-Detection Theory : our sense of humor can sense our errors. This chapter will focus on the overlap and benefits of a humorous and philosophical attitude toward the world and our place in it. The historian of philosophy Will Durant tells us that genuine philosophy begins when one learns to doubt; we can say something similar with humor--trust me. (shrink)

Chalmers introduced the hard problem of consciousness as a profound gap between experience and physical concepts. Philosophical theories were based on different interpretations concerning the qualia/concept gap, such as interactive dualism (Descartes), as well as mono aspect or dual aspect monism. From a bio-psychological perspective, the gap can be explained by the different activity of two mental functions realizing a mental representation of extra-mental reality. The function of elementary sensation requires active sense organs, which create an uninterrupted physical chain from (...) extra-mental reality to the brain and reflect the present. The function of categorizing reflection no longer needs sense organs, so that the physical chain to extra-mental reality is interrupted and now reflects the past. Whereas elementary sensation is an open system, categorizing reflection remains a closed system, separated from extra-mental reality. This creates the potentiality/reality gap, since prediction from the closed to the open system remains always uncertain. Elementary sensation is associated to specific qualia for each sense organ. Chalmers also attributed qualia to thoughts, with more neutral thought qualia. Thus at the qualia level, there is also an important gap, but now between specific sense qualia and neutral thought qualia. Since all physical concepts are simultaneously linked to neutral thought qualia, the hard problem might be explained by a qualia/qualia gap instead of a qualia/concept gap. The mental function of categorizing reflection induces the change from sense qualia to thought qualia by a categorization process. The specific sense qualia mosaic of an apple is reduced to physical concepts with neutral qualia by progressive categorization first to fruit, then to food, to chemicals and finally to calories. This might explain the gap felt in the hard problem, since specific sense qualia are completely different from neutral thought qualia, so that the hard problem could already be encountered at the qualia level. Since the gap of the hard problem is due to the interaction of different mental functions, it is compatible with a philosophical monism. (shrink)

The study is based on primary data which are collected with the help of a structured schedule from four different castes of population spread over North Tripura District and Unokuti District of Tripura. Stratified random sampling technique was applied for the collection of data at household level where the sample units are the adult women in the age group of 18 - 55 years. All the data are collected based on the criteria of balanced representation of different social castes such (...) as ST, SC, OBC and General in the sample. Altogether 90 samples have been collected. Main objective of the study is to determine the morbidity status and also to determine the key variables which affect morbidity status of the people of North Tripura. Binary logistic regression model has been applied to determine the key determinants of morbidity status. It has been found that age of the respondent, respondents per day calorie intake and educational level of the respondents are the key determinants of morbidity status of the respondents. The model as a whole explained between 30.6% (Cox & Snell R Square) and 41.1 %( Nagelkerke R Square). And ᵡ2 (6.460, N=90) =32.811. (shrink)

The EAT-Lancet Commission, consisting of 37 nutritionists, ecologists, and other experts from 16 countries, proposed safe operating space for food systems. This space helps to set ranges of food intake to ensure universal human health and a stable Earth system (not passing the planetary boundaries). Eventually, the Commission developed a 2,500-calorie-per-day eating plan for keeping the food systems in a safe operating space.

The proposed project is based on a Dietitian app. The proposed app lets us discover what should we eat based on our weight, height, age, sex, and physical activity. It calculates BMI and BMR and tells us how many calories should we ideally need to intake per day. The calories we should intake will be feed in and based on the RETE algorithm the amount of food intake for the day will be decided. The proposed application is for any type (...) of body person, it is also suited for any range of weight people. It will ideally inform how should we cut down the weight using target programs such as 1LB per week gain/loss. The given system will suggest a food list according to the meal that is if it’s breakfast lunch or dinner. It will accordingly organize heavy calorie food & light calorie food. The system will give more accurate results as it accepts the data entered by the user and processes it depending on some metrics already known to the application on the basis of which a diet plan is generated and ask the user if the user accepts the diet plan. If not accepted the system may also give an alternative diet plan. (shrink)