A5063629937- Algorithms and Data Compression
- RNA and protein synthesis mechanisms
- Advanced Graph Theory Research
- Complexity and Algorithms in Graphs
- Optimization and Search Problems
- Genomics and Phylogenetic Studies
- DNA and Biological Computing
- Quantum Computing Algorithms and Architecture
- Teaching and Learning Programming
- Computational Geometry and Mesh Generation
- RNA modifications and cancer
- Quantum Information and Cryptography
- Advanced Database Systems and Queries
- Spectroscopy and Laser Applications
- Spectroscopy and Quantum Chemical Studies
- Computability, Logic, AI Algorithms
- Cloud Computing and Resource Management
- Educational Games and Gamification
- Innovative Teaching and Learning Methods
- Network Packet Processing and Optimization
- semigroups and automata theory
- Advanced Software Engineering Methodologies
- Software System Performance and Reliability
- Bioinformatics and Genomic Networks
- Peer-to-Peer Network Technologies
University of Victoria
2015-2024
Victor (Japan)
2023
US Ignite
2015
University of Zurich
1999
ETH Zurich
1997-1998
TU Wien
1995
Ithaka Harbors
1995
Cornell University
1995
Utrecht University
1995
Rice University
1995
Protein tertiary structure prediction models like AlphaFold2 have revolutionized the field with unprecedented accuracy. Yet predicting structural changes arising from single amino acid mutations remains a challenge. The complexity introduced by these calls for that can incorporate mutational information into their predictions. We propose novel refinement strategy protein secondary leverages missense data. As part of this strategy, we introduce Mut2Dens, model not only yields improved...
Quantum computing is aninterdisciplinary field that lies at the intersection of mathematics, quantum physics, and computer science, finds applications in areas including optimization, machine learning, simulation chemical, physical, biological systems. It has potential to help solve problems so far have no satisfying method solving them, provide significant speedup solutions when compared with their best classical approaches. In turn, may allow us for inputs are deemed practically...
Multiple coronaviruses including MERS-CoV causing Middle East Respiratory Syndrome, SARS-CoV SARS, and SARS-CoV-2 COVID-19, use a mechanism known as −1 programmed ribosomal frameshifting (−1 PRF) to replicate. possesses unique RNA pseudoknotted structure that stimulates PRF. Targeting PRF in impair viral replication can improve patients’ prognoses. Crucial developing these therapies is understanding the of pseudoknot. Our goal expand knowledge structural conformations. Following alignment...
We investigate the effect of graph theory instruction on representations social networks by grade six students. In this quasi-experimental study, treatment groups participated in lessons as part their mathematics class. evaluating student responses to pre and posttests we observed that students shifted approach representing a network problem, from less more abstract - starting with complex vertices (superfluous detail) planar graphs (no crossed edges) toward simple non-planar graphs.
:Vibrational spectroscopy is a valuable quantitative tool for the determination of structure at surfaces. Various techniques may be applicable and useful, depending on what available, transparency substrates, need in situ probes, degree interfacial specificity required. We examine compare signals infrared absorption, Raman scattering, vibrational sum-frequency generation to underlying molecular response. In all these experiments, varying beam polarizations enables orientation specific...
Requirements interdependencies create technical dependencies among project members that generally belong to different functional groups in an organization, but who need coordinate activities during processes of requirements change management. Effective knowledge management is needed disseminate information on requirement changes across teams working interdependent avoid mis-interpretations. Social networks are regarded as important fostering management, where brokers or gatekeepers have the...
A suffix tree is a fundamental data structure for string searching algorithms. Unfortunately, when it comes to the use of trees in real-life applications, current methods constructing do not scale large inputs. All existing practical algorithms perform random access input string, thus requiring that be small enough kept main memory.
In recent years, concerns of privacy have become more prominent for social networks. Anonymizing a graph meaningfully is challenging problem, as the original properties must be preserved well possible. We introduce generalization degree anonymization problem posed by Liu and Terzi. this our goal to anonymize given subset nodes while adding fewest possible number edges. The main contribution paper an efficient algorithm exploring its connection with degree-constrained subgraph problem. Our...
We provide a complete and consistent framework in which vibrational spectra may be modeled from molecular properties gleaned spectra. This includes practical advice on how to define use the rotation operators when moving between laboratory coordinate systems. At same time, we some tips for facile comparison of analytical orientation distributions construction dynamics simulations. illustrate these approaches infrared absorption, Raman scattering, sum-frequency generation spectroscopy.
We propose a new method to build persistent suffix trees for indexing the genomic data. Our algorithm DiGeST (Disk-Based Genomic Suffix Tree) improves significantly over previous work in reducing random access input string and performing only two passes disk is based on two-phase multi-way merge sort paradigm using concise binary representation of DNA alphabet. Furthermore, our scales larger data than managed before.