feat: Update LICENCE

Author: edersoncorbari

LICENSE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2022-2024 NeuroQuest AI
+Copyright (c) 2022-2025 NeuroQuest AI
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -158,22 +158,22 @@ Calculate the Big Five for a **40-year-old man**:
 IpipNeo(question=120).compute(sex="M", age=40, answers=answers120)
 ```
 
-For the long version of the inventory just change the parameters *question* to **300**.
+For a **25-year-old woman**:
 
 ```python
-IpipNeo(question=300).compute(sex="M", age=40, answers=answers300)
+IpipNeo(question=120).compute(sex="F", age=25, answers=answers120)
 ```
 
-Calculating the Big Five for a **25-year-old woman**:
+For a **neutral case at 18 years of age**:
 
 ```python
-IpipNeo(question=120).compute(sex="F", age=25, answers=answers120)
+IpipNeo(question=120).compute(sex="N", age=18, answers=answers120)
 ```
 
-Calculating the Big Five for a **25-year-old neutral**:
+For the long version of the inventory just change the parameters *question* to **300**.
 
 ```python
-IpipNeo(question=120).compute(sex="N", age=25, answers=answers120)
+IpipNeo(question=300).compute(sex="M", age=40, answers=answers300)
 ```
 
 An example of the output of the results:

RELEASES.md

@@ -2,6 +2,10 @@
 
 ### Releases 🎈
 
+Release **[1.13.1](https://github.com/NeuroQuestAi/five-factor-e/releases/tag/v1.13.1)**:
+
+* Created a neutral norm, the average of the (M and F) norms, applied to individuals who do not identify with these groups.
+
 Release **[1.12.1](https://github.com/NeuroQuestAi/five-factor-e/releases/tag/v1.12.1)**:
 
 * Fixed the problem where when the algorithm was executed asynchronously it generated unexpected results;