Elsevier,
Heliyon, Volume 6, February 2020
This study looks to identify meaningful and accessible segments of the young adults with a physical disability population and to develop further understanding of how these segments can be targeted to increase their independence in their travel to work.
Elsevier, LWT, Volume 120, February 2020
Infant formulas (IFs) can be defined as substitutes for human milk, which are mostly based on cow milk proteins. For sustainability reasons, alternative to animal proteins in food have to be considered. Plant proteins offer interesting nutritional and functional benefits for the development of innovative IFs. However, the behaviour of these proteins during processing and storage must ensure the physical stability and ability to reconstitution of IF powders, and that needs to be tested.
Elsevier,
One Earth, Volume 2, Issue 1, 2020, Pages 98-108
We assess the success of natural reforestation in China's TNSP using satellite data. We use microwaves and SIF to measure water and photosynthesis in dryland vegetation. A strong correlation is found between reforestation and remote sensing data. Natural reforestation is successful at increasing vegetation activity in arid areas
Elsevier, Cold Fusion: Advances in Condensed Matter Nuclear Science, Volume , 14 January 2020
Long-term electrolysis with a thick Pd electrode in 0.1. M LiOD was performed. Some techniques to conduct clean and stable electrolysis are described. The surface morphology of postelectrolysis Pd electrodes was analyzed: it consisted of holes and two long faults without any crack. To understand the evolution of the morphology, the physicochemical properties of hydrated Pd have been studied by in situ potentiometric, resistance, and dilatometric measurements. The results of microstructural changes were further analyzed with reference to knowledge of hydrogen embrittlement.
Elsevier, Animal Feed Science and Technology, Volume 259, January 2020
Nitrate and lipids have been recognized as effective dietary additives to reduce enteric methane (CH4) production. The objective of this experiment was to evaluate the effects of nitrate (NO3¯) and canola oil, alone or in combination, on enteric CH4, volatile fatty acid (VFA) concentrations, digesta kinetics and outflow of DM and microbial non-ammonia nitrogen (MicNAN) from the rumen of cattle. Four rumen-cannulated steers were used in the experiment which was designed as 4 × 4 Latin Square with four 21-d periods and four treatments.
Elsevier, Livestock Science, Volume 231, January 2020
Although numbers are still low compared to cattle rearing, intensive dairy goat farms have been widely spreading in the Italian livestock systems. Since goats are quite rustic, they can easily adapt to different management practices; however, improving the efficiency can make the difference, both in productivity and on the environmental impact attributed to goat milk production. In the present study, the Life Cycle Assessment (LCA) approach was used to quantify the potential environmental impact of goat milk production system in 17 farms in Lombardy (Northern Italy).
Elsevier, Results in Chemistry, Volume 2, January 2020
A cationic chelating polymer, namely biopolymer chitosan CHI with a molecular weight of 117 kDa is employed in the present study to bring about the retention of azoic dyes from its aqueous solutions by way of polymer enhanced ultrafiltration (PEUF). The effects of process parameters, namely, operating time, CHI and sodium chloride concentrations, transmembrane pressure, and pH of solution on the retention rate and permeate flux were examined.
Elsevier, Development Engineering, Volume 5, 2020
The cost-effectiveness and reliability of waste collection services in informal settlements can be difficult to optimize given the geospatial and temporal variability of latrine use. Daily servicing to avoid overflow events is inefficient, but dynamic scheduling of latrine servicing could reduce costs by providing just-in-time servicing for latrines. This study used cellular-connected motion sensors and machine learning to dynamically predict when daily latrine servicing could be skipped with a low risk of overflow.