No abstract

A new type of bicyclic bridgehead phosphoramidites (briphos) is reported, where the geometrical constraints significantly enhance the π-acceptor ability compared with its monocyclic analogs. The briphos is shown to be highly efficient and tunable for Rh(I)-catalyzed conjugate additions of aryl boronic acids to α,β-unsaturated ketones and N-tosyl ketimines.

A simple protocol to generate radical chlorine species by ligand exchange in hypervalent iodine(III) compounds is reported. Radical chlorine species, not electrophilic chlorine species, are required for Pd‐catalyzed directed CH chlorination and ammonium salts can be used as radical chlorine sources.

A mild and efficient dehydrative cross-coupling reaction between allylic alcohols and N-heterocycles using palladium catalysis is reported. A bicyclic bridgehead phosphoramidite (briphos) ligand together with Pd(dba)2 is a highly efficient catalyst, and an acid additive involved in the rate-determining step promotes the catalytic cycle. The coupling reaction of allylic alcohols with N-heterocycles including imidazoles, benzimidazoles, and triazole proceeds under mild reaction conditions with high yields using Pd/briphos and pentafluorophenol.

Stock prices around the world dramatically decreased in 2020 due to COVID-19. Although the general trend seemed to be rebounding in 2021, the degree of recovery might vary by industry. This paper intends to investigate the relationship between the type of the industry companies and the pattern of individual stock indexes for 2021. Specifically, we investigate whether the functional pattern of individual stock indexes can be an important factor that can distinguish the type of the industry company. Traditionally, the stock price data has been analyzed using a time series approach. However, with the recent development of automated devices, the interest on the functional data analysis has been increasing. If individual stock prices are assumed to be random functions defined above continuous time, functional data techniques can be applied. Following this approach, we propose to use a functional logistic regression model that can explain the type of the industry company with the pattern of individual stock prices especially for 2021.