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README.md

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 - **A Neural Network Extension of the Lee-Carter Model to Multiple Populations (*AAS 2021*)**
 
-  - [Richman, R. (2021).](./Paper/Richman_AAS_2021.pdf) | [Paper Review](./Review/Richman_AAS_2021.md)
+  - [Richman, R. (2021).](./Paper/Richman_AAS_2021.pdf) [Paper Review](./Review/Richman_AAS_2021.md)
   - > *This paper **predicted the morality rates of HMD dataset using Lee-carter model**, Augmented Common Factor (ACF), Common Age Effect (CAE),  and **Deep Neural Network** (fully-connected).*
 - **The Drivers of Cyber risk (*JFS 2022*)** 
 
-  - [Aldasoro, I. (2022).](./Paper/Aldasoro_JFS_2022.pdf) | [Paper Review](./Review/Aldasoro_et_al_JRS_2022.md)
+  - [Aldasoro, I. (2022).](./Paper/Aldasoro_JFS_2022.pdf) [Paper Review](./Review/Aldasoro_et_al_JRS_2022.md)
   - > *This paper explained the relationship between cyber risk loss and independent variables such as sector, risk type, company size, and maliciousness based on **Advisen dataset.***
 - **The Economic Impact of Extreme Cyber Risk Scenarios (*NAAJ 2022*)** 
 
-  - [Eling, M. (2023).](./Paper/Eling_NAAJ_2022.pdf) | [Paper Review](./Review/Eling_NAAJ_2022.md)
+  - [Eling, M. (2023).](./Paper/Eling_NAAJ_2022.pdf) [Paper Review](./Review/Eling_NAAJ_2022.md)
   - > *This paper designed the **6 scenarios based on the most significant cyberattacks threats** (Supervisory control, Cloud service failure, Health sector and hospitals, Municipal services, Telecommunication, Cross-sector attack) and estimated the economic affects using **Inoperability Input-Output Model**.*
 - **Cyber Risk Scenarios, the Financial System, and Systemic Risk Assessment (*CEIP 2019*)** 
 
-  - [Kaffenberger, L. (2019).](./Paper/Kaffenberger_et_al_2019.pdf) | [Paper Review](./Review/Kaffenberger_et_al_2019.md) 
+  - [Kaffenberger, L. (2019).](./Paper/Kaffenberger_et_al_2019.pdf) [Paper Review](./Review/Kaffenberger_et_al_2019.md) 
   - > *This report proposed a **scenario analysis method based on the magnitude of cyber risk** (High-Impact Operational Risk Scenarios, Upstream Infrastructure Scenarios, and External Shock Scenarios) and a **framework for risk assessment** (Cyber Risk Exposure - Cybersecurity Preparedness - Shock Resilience = Systemic Cyber Risk Score!! )* 
 - **Building resilience in Cybersecurity: An artificial lab approach (*JRI 2023*)** 
 
-  - [Awiszus, K. (2023).](./Paper/Awiszus_et_al_JRI_2023.pdf) | [Paper Review](./Review/Awiszus_et_al_JRI_2023.md) | [Presentation PDF](./Presentation/Seminar_20240125.pdf)
+  - [Awiszus, K. (2023).](./Paper/Awiszus_et_al_JRI_2023.pdf) [Paper Review](./Review/Awiszus_et_al_JRI_2023.md) [Presentation PDF](./Presentation/Seminar_20240125.pdf)
   - > *This paper reproduced cyber risks with network topology (digital twin) and simulations.*
 - **What are the actual costs of cyber risk events? (*EJOR 2019*)**
 
-  - [Eling, M. (2019).](./Paper/Eling_EJOR_2019.pdf) | [Code Review (R)](./Code/Eling_et_al_EJOR_2019.r) 
+  - [Eling, M. (2019).](./Paper/Eling_EJOR_2019.pdf) [Code Review (R)](./Code/Eling_et_al_EJOR_2019.r) 
   - > *This paper extracted cyber risk cases from operational risks, estimated the distribution of loss frequency/severity, and analyzed the factors of cyber risks.*
 - **Systemic Cyber Risk and Aggregate Impacts (*RISA 2021*)**
 
-  - [Welburn, J. (2022).](./Paper/Welburn_RISA_2021.pdf) | [Paper Review](./Review/Welburn_RISA_2021.md) | [Presentation PDF](./Presentation/Seminar_20240321.pdf)
+  - [Welburn, J. (2022).](./Paper/Welburn_RISA_2021.pdf) [Paper Review](./Review/Welburn_RISA_2021.md) [Presentation PDF](./Presentation/Seminar_20240321.pdf)
   - > *The paper used **Quantitative modeling** (Input-Output modeling and Computational General Equilibrium models) to calculate **direct costs** and **indirect costs** (upstream impacts and downstream impacts) caused by Systemic Cyber Risk.*
 
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