S1 Data - by Yannick Feld (16520678)

“…<div><p>We numerically simulated the spread of disease for a Susceptible-Infected-Recovered (SIR) model on contact networks drawn from a small-world ensemble. …”

S4 Fig - by Yannick Feld (16520678)

“…<div><p>We numerically simulated the spread of disease for a Susceptible-Infected-Recovered (SIR) model on contact networks drawn from a small-world ensemble. …”

S1 Fig - by Yannick Feld (16520678)

“…<div><p>We numerically simulated the spread of disease for a Susceptible-Infected-Recovered (SIR) model on contact networks drawn from a small-world ensemble. …”

S2 Fig - by Yannick Feld (16520678)

“…<div><p>We numerically simulated the spread of disease for a Susceptible-Infected-Recovered (SIR) model on contact networks drawn from a small-world ensemble. …”

S3 Fig - by Yannick Feld (16520678)

“…<div><p>We numerically simulated the spread of disease for a Susceptible-Infected-Recovered (SIR) model on contact networks drawn from a small-world ensemble. …”

Experimentally measured protection from mutations and expected resulting increase in circuit lifetime. by Antoine L. Decrulle (11540003)

Fig 9 - by Maryam Shadi (14237349)

Fig 11 - by Maryam Shadi (14237349)

Extracting Structural Information from Physicochemical Property Measurements Using Machine LearningA New Approach for Structure Elucidation in Non-targeted Analysis by Dimitri Abrahamsson (11300063)

“…These properties can be used as a fingerprint, which with the help of a machine learning algorithm can be converted into a series of functional groups (RDKit fragments), which can be used to search chemical databases. …”

Extracting Structural Information from Physicochemical Property Measurements Using Machine LearningA New Approach for Structure Elucidation in Non-targeted Analysis by Dimitri Abrahamsson (11300063)

“…These properties can be used as a fingerprint, which with the help of a machine learning algorithm can be converted into a series of functional groups (RDKit fragments), which can be used to search chemical databases. …”

Extracting Structural Information from Physicochemical Property Measurements Using Machine LearningA New Approach for Structure Elucidation in Non-targeted Analysis by Dimitri Abrahamsson (11300063)

“…These properties can be used as a fingerprint, which with the help of a machine learning algorithm can be converted into a series of functional groups (RDKit fragments), which can be used to search chemical databases. …”

Extracting Structural Information from Physicochemical Property Measurements Using Machine LearningA New Approach for Structure Elucidation in Non-targeted Analysis by Dimitri Abrahamsson (11300063)

“…These properties can be used as a fingerprint, which with the help of a machine learning algorithm can be converted into a series of functional groups (RDKit fragments), which can be used to search chemical databases. …”

Screenshots of DDQR web server. by Yujun Wang (1947196)

Exemplary usage of DDQR in the supply chain for various applications. by Yujun Wang (1947196)

Exemplary application of DDQR in the storage and retrieval of DNA barcode sequence for plant material. by Yujun Wang (1947196)

Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" by Pengfei Wu (11627371)

“…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …”

Relative movement models. by Siji Chen (14883420)

Diagram illustrating the main processes of the functional-structural rice model and interaction with the MPSO algorithm. by Lifeng Xu (778021)

An example of an aSNP affecting G4 formation. by Rongxin Zhang (1618159)

VEP annotation of the aSNPs listed in S1 Table. by Rongxin Zhang (1618159)

“…Specialized experimental methods can then be designed based on the results provided by G4SNVHunter to further verify the specific functions of the affected G4 structures, facilitating deeper insights into the biological impacts of genetic variants from the perspective of G4 structures. …”