diff --git a/cara/apps/calculator/static/css/report.css b/cara/apps/calculator/static/css/report.css
index 500ffbb3..5967818d 100644
--- a/cara/apps/calculator/static/css/report.css
+++ b/cara/apps/calculator/static/css/report.css
@@ -39,11 +39,15 @@ p.result_title {
 	font-size: 15pt;
 }
 
-.image {
+p.image {
 	text-align: center;
 	font-size: 13pt;
 }
 
-.discalimer {
+p.disclaimer {
 	font-size: 12pt;
 }
+
+p.notes {
+	font-size: 10pt;
+}
\ No newline at end of file
diff --git a/cara/apps/calculator/templates/report.html.j2 b/cara/apps/calculator/templates/report.html.j2
index 20185fe1..941eec4c 100644
--- a/cara/apps/calculator/templates/report.html.j2
+++ b/cara/apps/calculator/templates/report.html.j2
@@ -173,13 +173,7 @@
 
     <p class="data_title">Alternative scenarios:</p>
     <p class="data_text">
-    <strong> Notes: </strong><br>
-    1) This graph shows the concentration of viral quanta in the air. The filtration of Type I and FFP2 masks, if worn, applies to individual exposure (inhalation only).<br>
-    For this reason, scenarios with different types of mask will show the same concentration on the graph.<br>
-    2) If you have selected more sophisticated options, such as HEPA filtration or FFP2 masks, this will be indicated in the  plot as the "base scenario", identical to the main results shown above.<br>
-    The other alternative scenarios shown for comparison will not include either HEPA filtration or FFP2 masks. <br>
-    <br>
-		<img id="scenario_concentration_plot" src="{{ alternative_scenarios.plot }}" align="left" />
+    <img id="scenario_concentration_plot" src="{{ alternative_scenarios.plot }}" align="left" />
         <table class="table table-striped w-auto">
             <thead class="thead-light">
                 <tr>
@@ -202,10 +196,18 @@
     </p>
     <div style="clear: both;">
 
+    <p class="notes"> <strong> Notes for alternative scenarios: </strong><br>
+    1) This graph shows the concentration of infectious quanta in the air. The filtration of Type I and FFP2 masks, if worn, applies not only to the emission rate but also to the individual exposure (i.e. inhalation ).<br>
+    For this reason, scenarios with different types of mask will show the same concentration on the graph but have different Pi values.<br>
+    2) If you have selected more sophisticated options, such as HEPA filtration or FFP2 masks, this will be indicated in the plot as the "base scenario", representing the inputs inserted in the form.<br>
+    The other alternative scenarios shown for comparison will not include either HEPA filtration or FFP2 masks. <br>
+    <br>
+		</p>
+
 	<br><br><br>
 	<div style="border: 2px solid black; padding: 15px;">
 		<p class="image"> <img <img align="middle" src="/calculator/static/images/disclaimer.jpg" width="40" height="40"><b>Disclaimer:</b><br><br></p>
-	    <p class="discalimer">The risk assessment tool simulates the long range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection thereto. The results DO NOT include short-range airborne exposure (where the physical distance plays a factor) nor the other know modes of transmission of SARS-CoV-2. Hence, this model implies that proper physical distancing, good hand hygiene and other barrier measures are ensured.<br><br>
+	    <p class="disclaimer">The risk assessment tool simulates the long range airborne spread SARS-CoV-2 virus in a finite volume, assuming a homogenous mixture, and estimates the risk of COVID-19 infection thereto. The results DO NOT include short-range airborne exposure (where the physical distance plays a factor) nor the other know modes of transmission of SARS-CoV-2. Hence, this model implies that proper physical distancing, good hand hygiene and other barrier measures are ensured.<br><br>
 	    It is based on current scientific data and can be used to measures the effectiveness of different mitigation measures.<br><br>
 	    Note that this model is based on a deterministic approach, i.e., at least one person is infected and shedding viruses into the volume. Nonetheless, it is also important to understand that the absolute risk of infection is uncertain as it will depend on the probability that someone infected attends the event. The model is mostly useful to compare the impact and effectiveness of mitigation measures such as ventilation, filtration, exposure time, activity and the size of the room on long-range airborne transmission of COVID-19 in indoor settings.<br><br>
 	    This application is meant for informative and educational purposes. The user can be able to adapt different settings and measure the relative impact on the estimated infection probabilities to allow for a targeted decision making and investment. The user should acknowledge that until the virus is in circulation among the population, the notion of 'zero risk' or a 'completely safe scenario' does not exist. Each event is unique and the results are as accurate as the inputs. The app is based on our scientific understanding of infectious diseases transmission, exposure and aerosol science as of November 2020.<br><br>