Figure 4. Coordinates of the center of the two batteries ventilation holes (per battery pack). These coordinates are given with reference to the S/C coordinate system origin located at the center of the S/C separation plane (X, Y, Z) : A= 1042.425 , -857.5 , -145.75 B= 1042.425 , 857.5 , -145.75 D= -1042.425, -857.5, -145.75 C= -1042.425, 857.5, -145.75 FIGURE 5 Volume below the separation plane FIGURE6 INMARSAT-4 susceptibility to radiations Frequency (MHz) E_Field (dBmV/m) 0.0001 120 1000 120 1000 148 6338.5 148 6338.5 80 6340.5 80 6340.5 148 30000 148 The susceptibility level is at equipment surface. To evaluate the effect of the launcher radiated field on the L/V onto S/C TC receivers, the launcher radiation level at S/C separation plane region must be attenuated by 33 dB to account for the presence of S/C structures and MLI and the location of the TC receivers inside the S/C. FIGURE 7 INMARSAT-4 radiated emissions (TM emitters OFF)
Figure 4. . a. Permeability evolution as a function of effective pressure of the thermally cracked and unreacted Carnmenellis granite (black curve), and after three fluid-rock interaction experiments. The black curve shows the permeability measured in the unreacted core. The red, green, and blue curves correspond to measurements on the core after it was recovered from experiments 1, 2, and 3, respectively. Inset: Deficit between the initially measured permeability at 10 MPa (grey dotted line) and that measured at the same pressure after the full pressurization/depressurization cycle.
Figure 4. .2.3 a) In-situ evidence for some landslides occurring along the hillslopes facing the town of Quindici (Xxxxxxx et al., 2008); b) Shallow flow-type landslides connected to mountain tracks during the May 1998 event. The first-failure stage of landslides induced by mountain tracks in Campania region was modelled and analysed by means of numerical analyses with FEM code in particular by Xxxxxxxx et al. (2003), Xxxxxx et al. (2003), Xxxxxxxxxxx et al. (2005), Xxxxxxx et al. (2008). Xxxxxxx at al. (2008) modelled the landslides of Xxxxx and Quindici occurring in May 1998. They performed parametric analyses, referring to simplified schemes (Figure 4.2.4a) that reproduced typical stratigraphic settings observed all over the massif and adopting as hydraulic and mechanical soil properties in saturated and in unsaturated conditions those available in the literature (Sorbino and Xxxxxxx, 2002; Xxxxxxx et al., 2005; Xxxxxxx et al., 2005) (Table 4.2.1).
Figure 4. 2.4 a) Schemes adopted in the numerical analyses performed by Xxxxxxx et al., 2008; b), c) Two geometries adopted in the numerical analyses carried out by Xxxxxxx et al., 2008.
Figure 4. 4. Fixed effects estimates (and their 95% confidence intervals) of the accuracy scores (logit scale) in Experiment 2 as a function of Connective, Position, and WM updat- ing. The single graph on the left depicts the two-way interaction of Connective by WM updating and the dual graph on the right depicts the three-way interaction of Connective by Position by WM updating. The vertical dotted lines in the dual graph reflect WM updating scores at the 1st and 9th decile. Before-Medial and After-Initial sentences are chronological, Before-Initial and After-Medial sentences are non-chronological.
Figure 4. Figure 5. Manuscript 3 Women’s subjective and neural responses to food or sex: Relationship to menstrual cycle phase and oral contraceptive use Xxxxxxx X. Xxxxxx & Xxx Xxxxxx, Ph.D. Abstract Behavioral data indicate that women’s hormonal states modulate the value of two natural rewards: food and sex. The mechanisms by which hormonal modulation of value occurs remain largely unclear. Here, we addressed this gap in the literature by testing the relationship between women’s hormonal state and their hedonic evaluations of and neural responses to food and sexual stimuli. We recruited four groups of women: naturally cycling (NC) women in the periovulatory phase of their menstrual cycle (n = 15), NC women in the luteal phase of their cycle (n = 13), women taking oral contraceptives (OCs) who were in the pill-free week of their pill-cycle (OC_0) (n = 15), and OC women in the third week of their pill-cycle (OC_3) (n = 14). We used functional magnetic resonance imaging (fMRI) to measure participants’ neural response to images of high-caloric (HC) foods, low-caloric (LC) foods, couples engaged in sexually explicit behavior, and couples engaged in active by non-emotive tasks. Following the neuroimaging, participants rated the images they saw in the MRI on appeal. Women’s hormonal state was related to their neural and subjective response to sexual stimuli but not to food stimuli. Specifically, we found that OC_0 women showed greater activation in a region of the orbitofrontal cortex (OFC) in response to sexual stimuli than did luteal or OC_3 women, but not greater activation than did periovulatory women. We identified a similar pattern in women’s subjective ratings, such that OC_0 women rated sexual stimuli to be more appealing than did luteal and OC_3 women, but not more than did periovulatory women. These data provide converging behavioral and neural evidence that hedonic evaluation of sex are sensitive to women’s hormonal state, but evaluations of food are not. Introduction Women’s interest in food and sex changes across their menstrual cycles. Women’s food cravings and consumption decrease around the time of ovulation and increase in the post- ovulatory luteal phase of their cycles (Xxxxx, Xxxxxxx, & Xxxxxxx, 1987; as reviewed in Buffenstein, Poppitt, XxXxxxxx, & Prentice, 1995). Conversely, women’s sexual desire and behavior peak at ovulation and decline in the luteal phase (Xxxxx & Xxxxxxx, 2013; Xxxxx, Gold, & Xxxx, 1978; Stainslaw & Rice, 1998). Similar menstru...
Figure 4. 2 Restriction, matching and exclusion process for selection of intervention and control villages (1), and timeline for study rounds and outcome data collection (2) 47 Figure 5.1 Profile of the study population across four rounds of data collection. The total number of individuals included at each stage of enrollment, follow-up and analysis are on the left in the intervention and control columns. The subset of the total population that is under 5 years is in right in dashed boxes 66 Figure 6.1 Environmental sample observations by sample type and assay across the four study rounds 94
Figure 4. What kind of learning information do you wish to know about your children? (Score, localisation …)? The next section of the questionnaire addressed the parents’ opinion on location based games. Whereas 75% would not engage themselves in location based gaming with their children, 65% would allow/support their children in playing these type of games. This indicates a high acceptance for educational games as a learning tool, and is somehow contradictory to the results in Figure 2. However, only 20% would be willing to also pay for the usage of such games, which is more in line with the results in Figure 2. Beaconing aims to support both disabled and non-disabled students and teachers, but will not cover all disabilities. Therefore, it is important to know where to put the priority. Figure 5 indicates that over 55% would expect support for students with dyslexia, while a third answered that Beaconing should support students with autism. 10% of the participants in the questionnaire had no idea which disabilities Beaconing should provide support for. What disabilities should Beaconing provide support for? no idea physical/ motorical impairment hear impairment Autism Dyslexia learning difficulties sight impairment 2 2 2 6 11 3 4 0 2 4 8 10 12 14 16 18 20 Figure 5: What disabilities should Beaconing provide support for? Personalised education might give deep insights in a person’s capabilities, therefore security issues or lack of trust on the security might make them not use the system. Figure 6 shows that 45% do not see any risks, whereas a third of the parents are afraid of the misuse of their children’s private data and another quarter of the parents have doubts about the data usage and privacy. What could be the main security issues? 9 5 Misuse of my children's data Data Usage and Privacy nothing Figure 6: What could be the main security issues? The last part of the questionnaire was related to what sort of feedback they would expect. Most parents wanted tutorials and guidelines, as well as hard copy material. This is a challenge, since hard copies are costly and difficult to automatically personalise, specifically if the material needs to be processed afterwards to enable feedback to the students. An interesting outcome is that hardly any of the parents wanted digitised lessons - one of our main outcomes. This is again in line with the previous results on educational games, but can also indicate that many cannot really see the advantage of the technology. We...
Figure 4. 1.1 Quickhelp Current Selection The menu is relatively simple. File allows you to exit the Database Editor and Help allows you to access the program walkthroughs. The Edit feature allows the same functions as the Toolbar.
Figure 4. 3: (a) Observation and (b) schematic representation of the buildup of one fringe (m = 1) on the mirror under slow-scan imaging. The 6 bright spots (numbered) are a result of off-axis injection into a N = 6 degenerate cavity. The ellipses are formed by light that is scattered out of the six hit points into periodic orbits. Only the ellipses that interfere constructively after one round-trip (total path length equals λ ) are visible. The turning points of the scatter ellipses are observed as the fringe (dotted circle), which has a diameter of 1 cm.
