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Highlight statement:

In this work, PCL with good stretchability and degradability, and aniline trimer (AT) with good electroactivity were chosen to synthesize stretchable electroactive copolymers.

Location statement:

Fig. 2 showed the FT-IR spectra of PCL3000, AT and PCL3000-15AT.

Explanatory statement:

Comparing with the curve of AT, the absorption peaks at 3400, 3326 and 3234 cm1 in AT curve were converted into a single absorption peak at 3339 cm1 in PCL3000-15AT curve, indicating the successful transformation of amine groups from AT into urea groups (–NHCONH–). Moreover, the characteristic absorption peak of hydroxyl groups (3460 cm1) in PCL3000 curve was disappeared in PCL3000-15AT curve, indicating that the hydroxyl groups were totally reacted in PCL3000-15AT copolymer. The characteristic absorption peaks at 1620 and 1522 cm1 in AT curve were attributed to the quinoid rings and benzenoid rings structure, respectively. Besides, there was no absorption peak at approximate 2260 cm1 in PCL3000-15AT curve, indicating that the isocyanate groups (–NCO) were totally consumed in the synthesis procedure

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Location Statement: Fig. 5 illustrates the spatial distribution of the risk adjustment factors (CR), i.e. risk-targeted ground motion values divided by hazard-based ground motion values, considering different values of the parameter β over the study region.

Highlight statement: It is shown that for the given parameters there is a positive trend between the risk coefficients and the value of the parameter β; thus meaning that the number of locations where the risk-targeted ground motions are higher than the seismic hazard-based ground motions may increase by increasing the value of β. Furthermore, for a large part of the region (shown by yellow and red colors in the lowest panel of Fig. 5), the employment of a range from 0.6 to 1.0 for the β value alters the ground motion by up to 30%.

Explanatory Statement: This describes a low level of safety with the initial ground motion for the region with higher values of β and can be explained by the fact that for low quality controlled or low-performance structures (with high values of the collapse uncertainty) one can intrinsically expect a higher level of collapse risk in comparison with quality-controlled structures (with low values of the collapse uncertainty).

# data[].attributes.body
Location: Having set the aforementioned parameters, the current study developed the country-based maps of the risk-targeted ground motion for the Iranian territory. The modification of the current EMME hazard model has been carried out through an iterative procedure suggested by Refs. [15] until the estimated probability of collapse reaches 1% in 50 years.

Highlight: Fig. 5 illustrates the spatial distribution of the risk adjustment factors (CR), i.e. risk-targeted ground motion values divided by hazard-based ground motion values, considering different values of the parameter β over the study region. The same color palette used for all the maps lets one see easily how well the values vary through the panels.

It is shown that for the given parameters there is a positive trend between the risk coefficients and the value of the parameter β; thus meaning that the number of locations where the risk-targeted ground motions are higher than the seismic hazard-based ground motions may increase by increasing the value of β. Furthermore, for a large part of the region (shown by yellow and red colors in the lowest panel of Fig. 5), the employment of a range from 0.6 to 1.0 for the β value alters the ground motion by up to 30%.

Explanatory: This describes a low level of safety with the initial ground motion for the region with higher values of β and can be explained by the fact that for low quality controlled or low-performance structures (with high values of the collapse uncertainty) one can intrinsically expect a higher level of collapse risk in comparison with quality-controlled structures (with low values of the collapse uncertainty). While this level of risk exceeds the target risk, the difference between the former and later levels can be compensated by increasing the design ground motion value. On the contrary, the design ground motion value must be reduced when the target risk is superior to this level.”

(Talebi (2021) Civil Engineering.pdf)

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Location: The students describe connections between language development, knowledge, a different way of thinking, and better self-confidence.

Highlighting: Petra (Swe) says she has grown “above all in knowing what I am talking about.” Clara (Swe) and Katarina (Swe) talk about reflecting and analyzing much more, seeing patterns, using other words, and thinking differently about themselves.

Explanatory: Changes in how they think are related to what Mezirow (1991, 2000) describes as changes in habits of mind….

# data[].attributes.body
Location: Having set the aforementioned parameters, the current study developed the country-based maps of the risk-targeted ground motion for the Iranian territory. The modification of the current EMME hazard model has been carried out through an iterative procedure suggested by Refs. [15] until the estimated probability of collapse reaches 1% in 50 years.

Highlight:Fig. 5 illustrates the spatial distribution of the risk adjustment factors (CR), i.e. risk-targeted ground motion values divided by hazard-based ground motion values, considering different values of the parameter β over the study region. The same color palette used for all the maps lets one see easily how well the values vary through the panels.

It is shown that for the given parameters there is a positive trend between the risk coefficients and the value of the parameter β; thus meaning that the number of locations where the risk-targeted ground motions are higher than the seismic hazard-based ground motions may increase by increasing the value of β. Furthermore, for a large part of the region (shown by yellow and red colors in the lowest panel of Fig. 5), the employment of a range from 0.6 to 1.0 for the β value alters the ground motion by up to 30%.

Explanatory: This describes a low level of safety with the initial ground motion for the region with higher values of β and can be explained by the fact that for low quality controlled or low-performance structures (with high values of the collapse uncertainty) one can intrinsically expect a higher level of collapse risk in comparison with quality-controlled structures (with low values of the collapse uncertainty). While this level of risk exceeds the target risk, the difference between the former and later levels can be compensated by increasing the design ground motion value. On the contrary, the design ground motion value must be reduced when the target risk is superior to this level.”

# data[].attributes.body
Location Statements:

The structure and composition of PCL3000, AT and PCL3000-15AT were investigated by FT-IR spectra and 1 H NMR spectra. Fig. 2 showed the FT-IR spectra of PCL3000, AT and PCL3000-15AT. Comparing with the curve of AT, the absorption peaks at 3400, 3326 and 3234 cm1 in AT curve were converted into a single absorption peak at 3339 cm1 in PCL3000-15AT curve, indicating the successful transformation of amine groups from AT into urea groups (–NHCONH–).

Highlight Statements:

Moreover, the characteristic absorption peak of hydroxyl groups (3460 cm1) in PCL3000 curve was disappeared in PCL3000-15AT curve, indicating that the hydroxyl groups were totally reacted in PCL3000-15AT copolymer. The characteristic absorption peaks at 1620 and 1522 cm1 in AT curve were attributed to the quinoid rings and benzenoid rings structure, respectively. Besides, there was no absorption peak at approximate 2260 cm1 in PCL3000-15AT curve, indicating that the isocyanate groups (–NCO) were totally consumed in the synthesis procedure.” (Deng et al. (2016) Acta Biomaterialia.pdf, from subsection 1 of the results section)

Explanatory Statements:

In this work, PCL with good stretchability and degradability, and aniline trimer (AT) with good electroactivity were chosen to synthesize stretchable electroactive copolymers.

# data[].attributes.body
Location : Fig. 5 illustrates the spatial distribution of the risk adjustment factors (CR), i.e. risk-targeted ground motion values divided by hazard-based ground motion values, considering different values of the parameter β over the study region. The same color palette used for all the maps lets one see easily how well the values vary through the panels.

Highlight: It is shown that for the given parameters there is a positive trend between the risk coefficients and the value of the parameter β; thus meaning that the number of locations where the risk-targeted ground motions are higher than the seismic hazard-based ground motions may increase by increasing the value of β. Furthermore, for a large part of the region (shown by yellow and red colors in the lowest panel of Fig. 5), the employment of a range from 0.6 to 1.0 for the β value alters the ground motion by up to 30%.

Explanatory: This describes a low level of safety with the initial ground motion for the region with higher values of β and can be explained by the fact that for low quality controlled or low-performance structures (with high values of the collapse uncertainty) one can intrinsically expect a higher level of collapse risk in comparison with quality-controlled structures (with low values of the collapse uncertainty). While this level of risk exceeds the target risk, the difference between the former and later levels can be compensated by increasing the design ground motion value. On the contrary, the design ground motion value must be reduced when the target risk is superior to this level.

”

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