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Household Food Waste: Multivariate Regression and Principal Components Analyses of Awareness and Attitudes among U.S. Consumers
We estimate models of consumer food waste awareness and attitudes using responses from a national survey of U.S. residents. Our models are interpreted through the lens of several theories that describe how pro-social behaviors relate to awareness, attitudes and opinions. Our analysis of patterns among respondents' food waste attitudes yields a model with three principal components: one that represents perceived practical benefits households may lose if food waste were reduced, one that represents the guilt associated with food waste, and one that represents whether households feel they could be doing more to reduce food waste. We find our respondents express significant agreement that some perceived practical benefits are ascribed to throwing away uneaten food, e.g., nearly 70% of respondents agree that throwing away food after the package date has passed reduces the odds of foodborne illness, while nearly 60% agree that some food waste is necessary to ensure meals taste fresh. We identify that these attitudinal responses significantly load onto a single principal component that may represent a key attitudinal construct useful for policy guidance. Further, multivariate regression analysis reveals a significant positive association between the strength of this component and household income, suggesting that higher income households most strongly agree with statements that link throwing away uneaten food to perceived private benefits.
Journal Article
An Alternative Explanation for Alzheimer’s Disease and Parkinson’s Disease Initiation from Specific Antibiotics, Gut Microbiota Dysbiosis and Neurotoxins
The late onset neuropathologies, including Alzheimer’s disease and Parkinson’s disease, have become increasingly prevalent. Their causation has been linked to genetics, gut microbiota dysbiosis (gut dysbiosis), autoimmune diseases, pathogens and exposures to neurotoxins. An alternative explanatory hypothesis is provided for their pathogenesis. Virtually everyone has pervasive daily exposures to neurotoxins, through inhalation, skin contact, direct blood transmission and through the gastrointestinal tract by ingestion. As a result, every individual has substantial and fluctuating neurotoxin blood levels. Two major barriers to neurotoxin entry into the central nervous system are the blood–brain barrier and the intestinal wall, in the absence of gut dysbiosis. Inflammation from gut dysbiosis, induced by antibiotic usage, can increase the intestinal wall permeability for neurotoxins to reach the bloodstream, and also increase the blood–brain barrier permeability to neurotoxins. Gut dysbiosis, including gut dysbiosis caused by antibiotic treatments, is an especially high risk for neurotoxin entry into the brain to cause late onset neuropathologies. Gut dysbiosis has far-reaching immune system and central nervous system effects, and even a transient gut dysbiosis can act in combination with neurotoxins, such as aluminum, mercury, lead, arsenic, cadmium, selenium, manganese, organophosphate pesticides and organochlorines, to reach neurotoxin blood levels that can initiate a late onset neuropathology, depending on an individual’s age and genetic vulnerability.
Journal Article
Centennial glacier retreat as categorical evidence of regional climate change
The near-global retreat of glaciers over the last century provides some of the most iconic imagery for communicating the reality of anthropogenic climate change to the public. Surprisingly, however, there has not been a quantitative foundation for attributing the retreats to climate change, except in the global aggregate. This gap, between public perception and scientific basis, is due to uncertainties in numerical modelling and the short length of glacier mass-balance records. Here we present a method for assessing individual glacier change based on the signal-to-noise ratio, a robust metric that is insensitive to uncertainties in glacier dynamics. Using only meteorological and glacier observations, and the characteristic decadal response time of glaciers, we demonstrate that observed retreats of individual glaciers represent some of the highest signal-to-noise ratios of climate change yet documented. Therefore, in many places, the centennial-scale retreat of the local glaciers does indeed constitute categorical evidence of climate change.
Glaciers have been retreating almost globally over the past century. An analysis using signal-to-noise ratio as a metric of individual glacier change reveals that glacier retreat constitutes categorical evidence for regional climate change.
Journal Article
A latent pathogen infection classification system that would significantly increase healthcare safety
Most viral, bacterial, fungal, and protozoan pathogens can cause latent infections. Latent pathogens can be reactivated from any intentional medical treatment causing immune system suppression, pathogen infections, malnutrition, stress, or drug side effects. These reactivations of latent pathogen infections can be dangerous and even lethal, especially in immuno-suppressed individuals. The latent pathogen infections in an individual can be classified and updated on a periodic basis in a four category system by whether or not an individual’s immune system is damaged and by whether or not these latent infections will assist other active or latent pathogen infections. Such a classification system for latent infections by viral, bacterial, fungal, and protozoan parasite pathogens would be practical and useful and indicate whether certain medical treatments will be dangerous for transmitting or reactivating an individual’s latent pathogen infections. This classification system will immediately provide latent pathogen infection status information that is potentially vital for emergency care and essential for quickly and safely selecting tissue or organ transplant donors and recipients, and it will significantly increase the safety of medical care for both patients and medical care providers.
Journal Article
Autism Spectrum Disorder Initiation by Inflammation-Facilitated Neurotoxin Transport
Autism spectrum disorders have been linked to genetics, gut microbiota dysbiosis (gut dysbiosis), neurotoxin exposures, maternal allergies or autoimmune diseases. Two barriers to ingested neurotoxin transport into the central nervous system of a fetus or child are the gastrointestinal wall of the mother or child and the blood–brain barrier of the fetus or child. Inflammation from gut dysbiosis or inflammation from a disease or other agent can increase the gastrointestinal wall and the blood–brain barrier permeabilities to enable neurotoxins to reach the brain of a fetus or child. Postnatal gut dysbiosis is a particular inflammation risk for autism spectrum disorders caused by neurotoxin transport into a child's brain. An extensive gut dysbiosis or another source of inflammation such as a disease or other agent in combination with neurotoxins, including aluminum, mercury, lead, arsenic, cadmium, arsenic, organophosphates, and neurotoxic bacterial toxins and fungal toxins resulting from the gut dysbiosis, can elevate neurotoxin levels in a fetal or child brain to cause neurodevelopmental damage and initiate an autism spectrum disorder. The neurotoxins aluminum and mercury are especially synergistic in causing neurodevelopmental damage. There are three plausible causational pathways for autism spectrum disorders. They include inflammation and neurotoxin loading into the fetal brain during the prenatal neurodevelopment period, inflammation and neurotoxin loading into the brain during the postnatal neurodevelopment period or a two-stage loading of neurotoxins into the brain during both the prenatal and postnatal neurodevelopment periods.
Journal Article