update last review

README.rst

@@ -57,7 +57,7 @@ Issues or merge requests can be made in the gitlab repository `here <https://for
 Documentation
 =============
 
-Documentations are available at `ReadTheDocs <https://pherosensor-toolbox.readthedocs.io/en/latest/>`__
+Documentations are available at `ReadTheDocs <https://pherosensor-toolbox.readthedocs.io/en/latest/>`__.
 
 Building the docs
 -----------------

paper/paper.bib

@@ -29,8 +29,8 @@
 }
 
 @inproceedings{nergerPDAFPARALLELDATA2005,
-  title = {{{PDAF}} - {{THE PARALLEL DATA ASSIMILATION FRAMEWORK}}: {{EXPERIENCES WITH KALMAN FILTERING}}},
-  shorttitle = {{{PDAF}} - {{THE PARALLEL DATA ASSIMILATION FRAMEWORK}}},
+  title = {{{PDAF}} - {{the parallel data assimilation framework}}: {{experiences with Kalman filtering}}},
+  shorttitle = {{{PDAF}} - {{the parallel data assimilation framework}}},
   booktitle = {Use of {{High Performance Computing}} in {{Meteorology}}},
   author = {Nerger, L. and Hiller, W. and Schr{\"o}ter, J.},
   year = {2005},

paper/paper.md

@@ -37,7 +37,7 @@ Insect pests are a major threat to agricultural systems [@oerkeCropLossesPests20
 
 In the field of data assimilation for PDE and dynamic systems, existing packages provide tools to easily interface dynamic systems, observation models, and a collection of data assimilation algorithms, such as DAPPER [@raanesDAPPERDataAssimilation2024], OpenDA [@ridlerDataAssimilationFramework2014], or PDAF [@nergerPDAFPARALLELDATA2005]. 
 
-Unlike these generic packages, `Pherosensor-toolbox` is a context-specific application-oriented package specifically designed to solve the inverse problem of inferring the source term (i.e. pheromone emitters position and emission rates) within a Chemical-Transport Model (CTM) modeling pheromone propagation in an agricultural landscape. An additional feature is the possibility of informing the data assimilation with insect behavior, such as population dynamics modeled by partial differential equations (PDEs), to get Biology-Informed Data-Assimilation (BI-DA). BI-DA aims to counter-balance data scarcity with prior biological knowledge. Another upcoming feature is optimal sensor placement tools to find the most informative sensor placement for assimilating the sensor data and inferring the source term of the CTM. The target audience is then academic researchers interested in epidemiosurveillance for crops.
+Unlike these generic packages, `Pherosensor-toolbox` is a context-specific application-oriented package specifically designed to solve the inverse problem of inferring the source term (i.e. pheromone emitters position and emission rates) within a Chemical-Transport Model (CTM) modeling pheromone propagation in an agricultural landscape. An additional feature is the possibility of informing the data assimilation with insect behavior, such as population dynamics modeled by partial differential equations (PDEs), to get Biology-Informed Data-Assimilation (BI-DA). BI-DA aims to counter-balance data scarcity with prior biological knowledge. Another upcoming feature is optimal sensor placement tools to find the most informative sensor placement for assimilating the sensor data and inferring the source term of the CTM. The target audience is then academic researchers interested in epidemio surveillance for crops.
 
 # Outlook