Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Game developers didn’t have it easy in the 1990s. Because they had extremely limited computing power, they had to write their code as efficiently as possible. Consider the first-person shooter Quake ...

This work integrates microfluidic technology to demonstrate a one-step fabrication of aptamer-conjugated emodin liposomes via a novel micromixer, achieving efficient production and effective therapy ...

The thesis of the article aims to answer the following research question: How can the term structure dynamics of VIX futures be exploited for abnormal returns? Note: The term structure refers to the ...

The EBW and mineral composition of reference animals (Supplementary Table S1) were used to estimate the initial EBW, and the mineral body composition of the remaining animals slaughtered at the end of ...

Dr. James McCaffrey of Microsoft Research demonstrates applying the L-BFGS optimization algorithm to the ML logistic regression technique for binary classification -- predicting one of two possible ...

The identification of mutations that enhance antibody affinity while maintaining high antibody specificity and stability is a time-consuming and laborious process. Here, we report an efficient ...

This paper gives the extension of Newton’s method, and a variety of formulas to compare the convergences for the extension of Newton’s method (Section 4). Section 5 gives the numerical calculations.

Three algorithms for optimization of minimum energy conical intersections (MECI) are implemented inside an ONIOM(QM:MM) scheme combined with microiterations. The algorithms follow the composed ...