The contribution of exproprioceptive visual information and seat height to the control of the stand-to-sit movement in young and older individuals

The purpose of the present study was to analyze the contribution of both exproprioceptive visual information and seat height in the control of stand-to-sit movement in young and older adults. Twelve older and 11 young individuals were invited to sit down on a chair under two seat heights (100% and 80% of the knee-ground distance) and under two visual conditions (with and without the availability of exproprioceptive visual information). Participants wore special goggles that reduced the size of the lower visual field. Participants performed the stand-to-sit movement with their feet positioned on a forceplate. The results allowed for the conclusion that the exproprioceptive visual information availability affected differently the way young and older adults control the stand-to-sit movement. On the other hand, seat height manipulation resulted in similar strategies by young and older individuals. Yet, older individuals exhibited a more conservative behavior than young adults while performing the stand-to-sit movement

Bentonite functionalized with propyl sulfonic acid groups used as catalyst in esterification reactions

AbstractThe main objective of this work is the functionalization of bentonite from the Amazon (region) by the grafting of propyl sulfonic acid groups to catalyze the esterification reaction of acetic acid and 1-propanol. Functionalization was accomplished by anchoring, oxidation and acid activation of (3-mercaptopropyl)trimethoxysilane, (MTPS). The procedure gave acid properties to the raw bentonite. This material, acting as a catalyst, increased the reaction speed and improved the yield by about 12% compared to the uncatalyzed reaction. The functionalized bentonite was characterized by XRD, TG/DTA, FTIR, N2 adsorption/desorption at 77K and XRF, and the surface acidity was determined by titration

Ammonia emissions from dairy lagoons in the western U.S.

Ammonia (NH3) emissions from dairy liquid storage systems can be a source of reactive nitrogen (N) released to the environment with a potential to adversely affect sensitive ecosystems and human health. However, there has been little on-farm research conducted to estimate these emissions and determine the factors that may affect these emissions. Six lagoons in south-central Idaho were monitored for one year, with NH3 emissions estimated by inverse dispersion modeling. Lagoon characteristics thought to contribute to NH3 emissions were also monitored over this time period. Average daily emissions from the lagoons ranged from 5.7 to 45 kg NH3 /ha or 5.7 to 96 kg NH3. There was a general trend for greater emissions during the summer, when temperatures were greater, in addition high wind events and agitation of the lagoons created temporary increases in NH3 emissions irrespective of temperature. Lagoon physicochemical characteristics such as total Kjeldahl nitrogen (TKN) and total ammoniacal nitrogen (TAN) were highly correlated with emission. Ammonia emission prediction models were developed using TKN, TAN, wind speed, air temperature and pH as independent variables. An on farm N balance suggests that lagoon NH3-N losses represented 9% of total N lost from the facility, 65% of the total lagoon N and 5% of dairy herd N intake. A process based model estimated similar values for N excretion and NH3-N loss from the lagoon. On-farm work is necessary to better refine both process based models and emission factor estimates in order to more accurately account for NH3 emissions from lagoons on dairies in the western US

Methane emissions from dairy lagoons in western U.S.

Methane (CH4) generation from dairy liquid storage systems is a major source of agricultural greenhouse gas emissions. However, there has been little on-farm research conducted to estimate these emissions and determine the factors that may affect these emissions. Six lagoons in south-central Idaho were monitored for one year, with CH4 emissions estimated by inverse dispersion modelling. Lagoon characteristics thought to contribute to CH4 emissions were also monitored over this time period. Average emissions from the lagoons ranged from 30 to 126 kg/ha/d or 22 to 517 kg/d. While there was a general trend for greater emissions during the summer, when temperatures were greater, events such as pumping, rainfall, freeze/thaw of lagoon surfaces, and wind events significantly increased CH4 emissions irrespective of temperature. Lagoon physicochemical characteristics such as total solids, chemical oxygen demand, and volatile solids were highly correlated with emission. Methane prediction models were developed using volatile solids, wind speed, air temperature and pH as independent variables. The USEPA methodology for estimating CH4 emissions from manure storage was used for comparison of on-farm CH4 emissions from one of the lagoon systems. The USEPA method underestimated CH4 emissions by 48%. An alternative methodology, using volatile solids degradation factor, provided a more accurate estimate of annual emissions from the lagoon system and may hold promise for applicability across a range of dairy lagoon systems in the U.S