To verify the authenticity of the documentation, the verifier must contact the issuing body and certify a person’s completion of the online course. The credentials of this certificate sit with the issuing body, being your company.A person who signed up and did not turn up can still gain this credential when it was not earned. Once the course has finished, they receive a PDF certificate which can be shared on social platforms such as LinkedIn, and be sent as an email attachment to a workplace or to whom it concerns.Īn impersonator can recreate this PDF documentation and fake the credentials.The current process pitfalls and improvementsĪ candidate signs up and completes an online course, or they sign up and do not attend. With this, online diplomas and certificates have lost their credibility.īring back the quality of your online courses by integrating with Dock’s API and issue unique Verifiable Credentials, which can be instantly issued and verified. For others who don’t sign up but want to claim the accomplishments, the PDF certificate can easily be copied and imitators can fake their accomplishments. According to a study carried out by The Atlantic, two-thirds of people who sign up to take an online course do not show up. With most free online courses, everyone, whether they’ve attended or not, receives a certificate verifying they have completed the course. ![]() Millions of people sign up for online courses daily. Verifiable Credentials allow LMS organizations to produce unique certifications tailored to each individual and stop any fraudulent activity. With hundreds of organizations offering online courses, businesses must work to set themselves apart from the competition. Verifiable Credentials also stop any fraudulent activity and ensure all credentials on a digital wallet are genuine. This approach removes the manual verification steps from the process of issuing and handling non-verifiable credentials and saves an organization heaps of time. ![]() Dock has built a decentralized network on which organizations can create their own identities, and use these identities to issue credentials that can be cryptographically verified. PDF certifications can be easily forged meaning online diplomas and certifications are becoming less valuable. īioinformatics computer-aided design computer-aided drug discovery.How Verifiable Credentials can transform your businessĭock’s API allows you to easily issue, verify, manage, and revoke verifiable credentials and decentralized identities. CB-Dock offers an interactive 3D visualization of results, and is freely available at. This method was carefully optimized and achieved ~70% success rate for the top-ranking poses whose root mean square deviation (RMSD) were within 2 Å from the X-ray pose, which outperformed the state-of-the-art blind docking tools in our benchmark tests. To automatically predict binding modes without information about binding sites, we developed a user-friendly blind docking web server, named CB-Dock, which predicts binding sites of a given protein and calculates the centers and sizes with a novel curvature-based cavity detection approach, and performs docking with a popular docking program, Autodock Vina. ![]() Most of them focus on docking in the preset binding sites given by users. To address this task, a variety of docking tools have been developed. Given the three-dimensional (3D) structure of a protein and a ligand, predicting their binding sites and affinity are a key task for computer-aided drug discovery. As the number of elucidated protein structures is rapidly increasing, the growing data call for methods to efficiently exploit the structural information for biological and pharmaceutical purposes.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |