Results and conclusions Sample Clauses

The 'Results and Conclusions' clause defines how the findings and interpretations derived from a project, study, or agreement are to be documented and communicated. Typically, this clause outlines the requirements for reporting results, the format and timing of such reports, and any obligations regarding the sharing or publication of conclusions. By establishing clear expectations for the dissemination and use of outcomes, this clause ensures transparency and helps prevent disputes over the interpretation or ownership of results.
Results and conclusions. Per our review of the above data and prior year agreed-upon procedure reports:
Results and conclusions. The activities related to Task 2.1 in WP2 provided a detailed sensory description of canned peas and sweet corn samples commonly available in the market. Main sensory differences among samples were identified for both products. This information is essential for achieving two aims: exploring sensory characteristics driving elderly and adolescents liking across Europe and studying the relationship between sensory and instrumental data to improve the quality control of these products. In the present study DA provided: 1) a validated sensory profile of each sample, 2) the relative importance of appearance, flavour and texture attributes in discriminating products by means of perceptual maps. The study of the relationship between sensory properties and instrumental measurements was then possible. The projection of Firmness and NMR data onto the obtained sensory spaces resulted in a good evidence of the potential use of these measurements to predict relevant sensory differences among samples. Results from activities related to Task 2.2 showed that the minimum number of consumers required for free sorting studies seems higher than that recommended in previous works in which product configurations were considered stable when working with about 25-30 consumers. For both adolescent and elderly a minimum number of 50 subjects are fair when working with familiar canned vegetables such as peas. A larger panel size (70 or more) is required when working with less familiar products such as sweet corn. However our results showed that product knowledge and in particular one of its components (respondent familiarity with the product under investigation) is a factor that should always be considered to define the panel size to perform a sorting task. Results from the consumer study (Task 2.3) showed that both elderly and adolescents are able to sort vegetable samples in relation to sensory properties that are relevant for their hedonic judgment about the product. High correlation values were found in comparing sorting configurations from each country and each age group with the perceptual maps from descriptive analysis for both peas and sweet corn. Sample grouping was consistent across countries with minor differences that seem to be related to the degree of familiarity of the product in a country rather than in another. When a sorting task is conducted with familiar products (like peas) differences among countries and age groups tend to be minimal. Both elderly and adolescent...
Results and conclusions. BIOCORE vs. conventional systems Results and conclusions: BIOCORE vs. other biomass-based systems Recommendations for policy makers
Results and conclusions. Various (merely low pathogenic) respiratory viruses were detected in 12% of our study population. Respiratory viruses were present both within and out of the influenza-like-illness- season. 19 (39%) of all patients developed acute respiratory distress syndrome. No relationship of viral presence with major pulmonary outcomes (PaO2/FiO2 ratio, development of acute respiratory distress syndrome or mechanical ventilation time) could be demonstrated, though events were too few to allow multivariate analyses.
Results and conclusions. In patients with a stable anticoagulation, the median time to a first low INR was 40 weeks. A subtherapeutic INR occurred twice as often in patients using acenocoumarol as in those using phenprocoumon (hazard ratio [HR] 2.1, 95% Confidence Interval [95%CI]: 2.0-2.3) and was more common in patients with a high therapeutic range compared to a low therapeutic range (HR 1.8, 95%CI: 1.5-2.2). Occurrence of a low INR also depended on indication for anticoagulant therapy, with the highest risk in patients who used anticoagulants as prophylaxis and the lowest risk in patients with mechanical heart valves. In 30% of cases the subtherapeutic INR was preceded by an event necessitating vitamin K or discontinuation of the anticoagulant drug.
Results and conclusions. The contributions to the short separation distance correction term from the vast majority of the relevant Feynman Diagrams turn out to be suppressed due to the large formation time assumption that is used throughout the DGLV treatment. The only two diagrams that contain non-zero short separation distance correction terms at the amplitude level are shown in Figure 3, 4, but if one continues to hold strictly to the large formation time assumption for the duration of the derivation of the energy loss calculation, a remarkable and wholly unpredictable cancellation occurs in the square-sum stage . of the calculation, resulting in a null short path-length correction term. In order to investigate the full extent of the effects of the large formation time assumption, we relax the assumption beyond the amplitude stage of the calculation to obtain a new energy loss formula that carries a short path length correction,
Results and conclusions. The main conclusions from the environmental, economic and social assessments are highlighted in the following bullet points: - Climate Change, impact on Ozone Layer Depletion and Acidification are categories where impact decreases with around 10 to 20% when PlastiCircle approach is implemented. However, other categories such as Land Use or Water Resource depletion increase due to the extra impacts from the implementation of intelligent collection technologies (i.e.: label dispenser, etc.). - Management costs on collection and transport appear to be balanced as extra cost on technologies investments are offset by the saving from optimized transport. Although higher recycling cost is incurred, revenues increase due to the recovery of higher quality material (less unwanted material per tonne) but also more material to be recycled per tonne of packaging waste collected. - On Social impacts, all parameters are improved as shown by the results from questionnaires with special attention in Transparency and Socio-economic repercussions. For the pre- and post-pilot situations, the integration of the results obtained for three cornerstones of the sustainability namely environmental, economic and social have been integrated and displayed in the spider diagram shown in Figure 1. The spider diagram with the largest surface area means the less sustainable scenario while the smallest surface area the most sustainable solution. The categories displayed on the diagram can imply a positive or negative effect (i.e. climate change, the higher the worse; while Revenue, the higher the better), and that is the reason some categories were reversed to have them all aligned. Pre-Pilot Post-Pilot Remuneration 100% Municipality Climate change Ozone depletion Revenues sales of granules Recycling costs 80% 60% 40% 20% 0% Acidification Land use Sorting costs Water resource depletion Collection & Transport Sustainability awareSnoecsios-economic repercussions Health and safety Consumer satisfaction Transpa rency
Results and conclusions. ‌ Figure 7 shows the results of the first experiment. With a loss rate of 0.0005, i.e. 5 packets out of 10000 lost on average, the throughput is almost the maximum attainable, around 900 Mbps. It is noticeable that increasing the loss rate decreases the throughput obtained, since more retransmissions are required. These retransmissions cause that duplicated PDUs are received, and in turn this implies longer reception times, thus decreasing the observed throughput. The second experiment aimed at assessing the effect Tr had on the throughput. The loss rate in this case was kept constant, at 0.0005. Results are shown in Figure 8. It can be seen that increasing the value of Tr lowers the throughput, although slowly, being noticeable only for values around 8 ms. The reason of this is that since the Retransmission timer takes longer to be triggered, then the gaps in the receiver side take longer to be filled up and so to be delivered to the application. for flows with only flow control do not differ significantly. Figure 8: Goodput in function of Tr value, with constant loss rate using Retransmission Control and Flow Control. These experiments show that the implementation of the Retransmission Control mechanism does not impact too negatively on the performance of the data transfer, neither as compared to Flow Control nor regarding the use of the physical links.
Results and conclusions. A short circuit study was performed on the Southern New Mexico system comparing the maximum fault current on the system at various substations: ▇▇▇▇ Substation (both 345 kV and 115 kV) and each substation directly connected to ▇▇▇▇, both with and without the three new generators proposed by XXXX. The results of this study show that the maximum fault current with the three new generators is less than the minimum interruption rating of any effected existing circuit breaker: Maximum Minimum Circuit Breaker Fault Current with 3 Substation Interruption Rating (Amps) New Generators (Amps) ▇▇▇▇▇▇ 345 kV 40,000 5,767.9 Diablo 345 kV 40,000 5,512.0 ▇▇▇▇▇▇▇ 345 kV 40,000 7,387.3 ▇▇▇▇ 345 kV 40,000 11,124.9 ▇▇▇▇▇▇ 345 kV 40,000 8,385.8 Diablo 115 kV 31,500 19,693.9 ▇▇▇▇ 115 kV 40,000 11,129.0 Mimbres 115 kV 17,500 8,563.6 ▇▇▇▇▇▇ 115 kV 40,000 29,670.3 Therefore, the operation of the three new generators with the parameters as given by XXXX connected to the ▇▇▇▇ 345 kV bus will not cause any existing circuit breaker to operate outside its interruption rating limit.
Results and conclusions. In 2009 we were well prepared for our retail debut of the Beautiful Gardens® ‘plants of distinction’ (a promotion of underutilized plants that we select each that precedes our first new plant introductions in 2012). Twenty independent retail garden centers in Virginia were selected for their locations around the state, potential for sales and interest in supporting the Beautiful Gardens® program. Posters, banners, brochures and plants signs were very well received. They were used at each garden center to make attractive displays featuring the Beautiful Gardens® plants. They continue to be updated each year. Plant tags and pot stickers created some logistical problems in application and cost and will be used only on the new plant introductions in the future. We have emphasized the ‘locally grown’ aspect of the Beautiful Gardens® plant introduction program to date. However, we will be promoting the program regionally (appropriate grow zones) as we introduce new plants.