This op-ed article is a metaphor, bemoaning life without the cruelty, brutality, and murder of minorities by police. It indicates the similarities in not needing milk nor police when it is intolerant to survival. Milk is an important nutrient, staple, and a source of calcium for the purpose of supplementing the health in children’s development and for adults in need of additional, calcium-rich foods. Milk is known to build bone development and density. Milk has a long history in the “western diet” (Dalsgaard, Bertram 2015) (standard American diet), as an important nutrient, representative as a valuable source for the human body. In validating food “intake biomarkers (a measurable substance in an organism whose presence is indicative of some phenomenon, such as disease, infection, or environmental exposure), milk becomes part of the human biofluid (a generic term for bio-organic fluid produced by an organism such as, serum, plasma, urine, saliva, and so on” (Dalsgaard, Bertram 2015). We are taught by our parents and advised by natal-conscious doctors, that children cannot grow or maintain a healthy life as babies, pre-k, young adults or grown-ups, if we don’t drink milk or have a diet of milk by-products. But in 1972, early research found; “Negroes” (Paige, Bayless, Graham 1972), Asians, American Indians, Hispanic, South Americans and Black Heritage (American Family Physician, 2006), had trouble digesting an enzyme that breaks down the natural sugar in milk and the same intestinal intolerance arrives in significant numbers when this same group of people within the greater population are in the presence of police.

There is not yet accurate and confirmed information about that emerging coronavirus (Covid-19), or about reaching an appropriate treatment that eliminates it. Till this moment, the global medical authorities have agreed that simple prevention methods are the application of precautionary measures, especially in the absence of a preventive serum, which prompted many questions about the food handling/safety issues you should deal with during this crisis. Moreover, the proper nutrition is vital and important. Thus eating a balanced diet lead to healthier and stronger immunity and less exposed to the risk of chronic and infectious diseases including viral infection. This mini-review clarifies the rules that dealing with your purchases of food in order to be safe and not be a source for the spread of the virus during this Pandemic outbreak. Also, it sheds light on types of healthy stock foods you can buy and some of the nutritional rules that must be followed in order to raise immunity, which is a key factor to resist the virus.

Body fatty acids are important in health and disease. We previously observed two groups of fatty acids in breast muscle of chickens: Group 1) with relative amounts correlating negatively with %AA (20:4 n6), and Group 2) with relative amounts correlating positively with %AA. Within each of the two groups, we here found positive correlations between fatty acid percentages. Accordingly, Group 1 percentages correlated negatively with those of Group 2. With random numbers in lieu of the true values of Group 2 fatty acids, we were able to reproduce the positive correlations found with true values, if the random numbers were generated with the true ranges. In contrast, with random numbers we did not succeed in reproducing all of the negative correlations between Group 1 and Group 2 fatty acid percentages. We then observed that absolute amounts (g/kg) of fatty acids in Group 1 correlated positively and strongly (r > 0.9), suggesting a coordinated regulation of these fatty acids. Thus, Group 1 fatty acids seemed to be a cluster of fatty acids. Random number cluster percentage showed nice inverse associations with random number Group 2 fatty acid percentages, like the outcome observed with the true values. We suggest that associations between fatty acid percentages are caused by their concentration distributions, and by cluster regulation. Distribution Dependent and Cluster Regulation could be an evolutionary adaptation, where a mathematical rule is utilized to e.g. balance effects of eicosanoids/docosanoids, and possibly other metabolites.

Body fatty acids are important in health and disease. Previously, we reported a positive association between % AA (20:4 n6) and relative amounts of EPA (20:5 n3) and of some other fatty acids. We now study positive and negative correlations in general between %AA and percentages of other fatty acids, as observed in chicken breast muscle. Two groups of fatty acids were identified: Group 1) with relative amounts correlating negatively with %AA, and Group 2) with relative amounts correlating positively with %AA. With the positive correlations, but not with the negative ones, we obtained similar scatterplots using true and random numbers. This apparent discrepancy is probably related to differences in skewness of the concentration distribution of some fatty acids. Most of Group 2 fatty acids are eicosanoid or docosanoid precursors. The overall correlation outcome may be largely explained by the particular concentration ranges of the fatty acids. We therefore suggest Distribution Dependent Correlations to be an evolutionary regulatory principle, possibly ensuring balance between various eicosanoids and docosanoids.

We previously observed a positive association between relative amounts of particular body fatty acids, provided they had low-numbers relative to sum of the remaining ones. Additionally, theoretical considerations and computer experiments suggested that, with two high-number variables relative to one with much lower numbers, we should expect a negative relationship between relative amounts of the high-number variables. Moreover, the correlation outcomes with true values could be well reproduced using random numbers, provided that the numbers had the true ranges (distributions). This finding led to the concept of Distribution Dependent Correlations. Since counts of segmented neutrophil leukocytes (N) and lymphocytes (L) are normally much higher than sum of the remaining (R) white blood cells (WBC), it was suggested that %N might possibly be negatively associated with %L. In the present work, random numbers were sampled in lieu of reported WBC subgroup values, but using the measured mean ± SD values. The results demonstrate that relative amounts of random number “N” and “L” were indeed inversely related in both sexes: Spearman’s rho = -0.9, p <0.001, n = 200, as observed using within-person data, and between-person data as well. Furthermore, an alteration in distributions (variability) of the WBC subgroup changed the correlation outcome, as evaluated by scatterplots and correlation coefficients. Decreasing (increasing) values of %R improved (made poorer) the negative association between %N and %L. Thus, the observed negative association between %N and %L seems to be a case of Distribution Dependent Correlations. Hypothetically, by directing WBC subgroup counts to particular places on the scale, a powerful tool is available to govern the associations between relative amounts of WBC subgroups.