In Italy, data on aluminium concentration in food items are scarce although aluminium containers are widely used to cook, to freeze or to wrap foods (foil) and it is known that aluminium can migrate from containers to foods. Therefore, an experimental study was carried out to quantify aluminium exposure from ingestion of actual total diets and from migration from containers to foods in conditions representative of the actual use. Samples of 24 h diets were collected, homogenized, lyophilized and the amount of aluminium was determined by atomic absorption spectrometry. The aluminium concentrations ranged from 1.0 to 2.1 mg/kg of food; the intake of aluminium ranged from 2.5 to 6.3 mg/day. The amount of aluminium migrating from aluminium cookware was determined by cooking various representative foods in aluminium and in glass or stainless steel containers. From comparison of the results, the increase in aluminium because of migration from cookware was relatively low, with the highest release into acidic and salty foods. The daily intake of aluminium even if all the foods were prepared and stored in aluminium containers would be approximately 6 mg/day, a very low value compared with the Provisional Tolerable Weekly Intake of 7 mg/kg body weight (equivalent to 60 mg/day for an adult man) established by the Joint FAO/WHO Expert Committee on Food Additives.
The most frequent form of dementia is Alzheimer’s Disease (AD), a severe progressive neurological pathology in which the main cognitive functions of an individual are compromised. Recent studies have found that loneliness and living in isolation are likely to cause an acceleration in the cognitive decline associated with AD. Therefore, understanding social behaviours of AD patients is crucial to promote sociability, thus delaying cognitive decline, preserving independence, and providing a good quality of life. In this work, we analyze the localization data of AD patients living in assisted care homes to gather insights about the social dynamics among them. We use localization data collected by a system based on iBeacon technology comprising two components: a network of antennas scattered throughout the facility and a Bluetooth bracelet worn by the patients. We redefine the Relational Index to capture wandering and casual encounters, these being common phenomena among AD patients, and use the notions of Relational and Popularity Indexes to model, visualize and understand the social behaviour of AD patients. We leverage the data analyses to build predictive tools and applications to enhance social activities scheduling and sociability monitoring and promotion, with the ultimate aim of providing patients with a better quality of life. Predictions and visualizations act as a support for caregivers in activity planning to maximize treatment effects and, hence, slow down the progression of Alzheimer’s disease. We present the Community Behaviour Prediction Table (CBPT), a tool to visualize the estimated values of sociability among patients and popularity of places within a facility. Finally, we show the potential of the system by analyzing the Coronavirus Disease 2019 (COVID-19) lockdown time-frame between February and June 2020 in a specific facility. Through the use of the indexes, we evaluate the effects of the pandemic on the behaviour of the residents, observing no particular impact on sociability even though social distancing was put in place.
A program is underway in Italy to identify construction materials with high radioactivity contents and to evaluate the resulting indoor exposure on a nationwide scale. Building materials surveyed include those of natural origin and those employing particular by-products such as fly ash and phosphogypsum. The survey currently emphasizes natural building materials, which are widely used in many areas having particular geological features. First results show that Italy includes areas of high natural background, i.e. in Lazio and Campania, in which very high levels of indoor exposure occur that can be directly related to specific activities of the building materials. Moreover, 220Rn daughters are sometimes present at such levels that their contribution to the lung exposure is comparable to that from 222Rn daughters.
Thirteen cultivars of cowpea (Vigna unguiculata ( L ) Walp) were analysed for their proximate composition, amino acid, trace element and phytic acid contents. Crude protein values rangedfrom 206.8 to 2833 g k g -DM. The mean contents (g kg-') of other major nutrients were ether extract, 18.6; ash, 38.8; total dietary jibre, 121.8 and carbohydrates, 573.4. When compared with the provisional amino acid scoring pattern of FAO, all cultivars were low in methionine and high in lysine, isoleucine, leucine and phenylalanine plus tyrosine. Values for threonine and valine were variable compared with the pattern. The range of valuesfor the chemical score was 0-61-0.74. Phytic acid values rangedfrom 5.10 to 10.279 kg-', and the phytate:zinc molar ratios were all higher than that (15:l) above which zinc deJiciency can be induced. Most ofthe trace elements showed wide variation in their occurrence among the cultivars. The values,for zinc and iron showed less variation. The toxic elements mercury and selenium were present in var?+ng amounts in more than half of the cultivars btihile tin M'US found in only one vuriety. 40 1 J Sci Food Agric 0022-5142/91/$03.50 0 1991 SCI. Printed in Great Britain
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