Alien Registration- Langlois, Jean-Baptiste (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/28839/thumbnail.jp

Product design-Process selection-Process planning Integration based on Modelling and Simulation

As a solution for traditional design process having many drawbacks in the manufacturing process, the integration of Product design-Process selection-Process planning is carried out in the early design phase. The technological, economic, and logistic parameters are taken into account simultaneously as well as manufacturing constraints being integrated into the product design. As a consequence, the most feasible alternative with regard to the product’s detailed design is extracted satisfying the product’s functional requirements. Subsequently, a couple of conceptual process plans are proposed relied on manufacturing processes being preliminarily selected in the conceptual design phase. Virtual manufacturing is employed under CAM software to simulate fabrication process of the potential process plans. Ultimately, the most suitable process plan for fabricating the part is recommended based upon a multi-criteria analysis as a resolution for decision making

Faster Secret Keys for (T)FHE

GLWE secret keys come with some associated public information, like their size or the distribution probability of their coefficients. Those information have an impact on the FHE algorithms, their computational cost, their noise growth, and the overall security level. In this paper, we identify two limitations with (T)FHE: there is no fine-grained control over the size of a GLWE secret key, and there is a minimal noise variance which leads to an unnecessary increment of the level of security with large GLWE secret keys. We introduce two (non exclusive) new types of secret keys for GLWE-based cryptosystems, that are designed to overcome the aforementioned limitations. We explain why these are as secure as the traditional ones, and detail all the improvements that they brought to the FHE algorithms. We provide many comparisons with state-of-the-art TFHE techniques, and benchmarks showing computational speed-ups between $1.3$ and $2.4$ while keeping the same level of security and failure probability. Furthermore, the size of the public material (i.e., key switching and bootstrapping keys) is also reduced by factors from $1.5$ and $2.7$

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants

Alien Registration- Langlois, Jean-Baptiste (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/28839/thumbnail.jp

Stabilizing inactive conformations of the paracaspase MALT1 as an effective approach to inhibit its protease activity

The paracaspase MALT1 (mucosa associated lymphoid tissue lymphoma translocation protein 1) plays an important role in various immune pathways and has been proposed as a therapeutic target for auto-immune disorders as well as cancers (i.e. DLBCL). We explored different mechanisms to inhibit the protease activity of MALT1 and discovered two unrelated chemical scaffolds. Biophysical and structural studies revealed that both scaffolds stabilize the protease in an inactive conformation. While one ligand binds to the allosteric site at the interface between the caspase and the Ig3 domain, the other ligand binds to the active site in a so far undescribed mechanism. Iterative structure based drug discovery on one scaffold resulted in the identification of a potent, selective and bioavailable MALT1 inhibitor

From enantioconvergent to stereodivergent processes in copper-catalyzed asymmetric allylic alkylation

The copper-catalyzed asymmetric allylic alkylation (AAA) is one of the most powerful methods to introduce a simple alkyl group in allylic position. Copper is particularly known to induce a high γ-selectivity stemming from a SN2' process. This feature has been mainly applied to the alkylation of linear prochiral substrates leading to the formation of stereogenic centers. In sharp contrast, the use of racemic substrates has been scarcely studied. We will present here that this range of substrates could be interesting reaction partners leading to the development of new valuable resolution processes

Dynamic kinetic asymmetric transformation in copper catalyzed allylic alkylation

The first dynamic kinetic asymmetric transformation in copper catalyzed allylic alkylation is reported, with enantioselectivities up to 92%