RESUMO
The past events that have shaped our world, such as the COVID-19 Pandemic and the different political outcomes, entailed a scenario of major economic uncertainty in the global market that remains, particularly, in our country. Admittedly, mergers and acquisitions of companies (M&A) in Peru have also been heavily affected. However, it is the market agents' duty to find new strategies to mitigate the economic uncertainty by generating incentives through legal and financial security to the foreign and national investors. Consequently, in this article, the authors have identified the pricing mechanism, employed in Shares Purchase Agreements, as a key element in the recovery and boosting of M&A deals in the Peruvian market driven by uncertainty. Thus, the authors present the pricing mechanisms that have been traditionally used in Shares Purchase Agreements but also introduce the new trends in global pricing mechanisms that have come to stay and fit. © 2022, Pontificia Universidad Catolica del Peru. All rights reserved.
RESUMO
During the coronavirus disease 2019 (COVID-19) pandemic, maintaining adequate staffing in healthcare facilities is important to provide a safe work environment for healthcare workers (HCWs). Japan's early return-to-work (RTW) program may be a rational strategy at a time when there is an increased demand for the services of HCWs. We assessed whether the early RTW program for HCWs who have been in close contact with a COVID-19 case in our hospital was justified. Close contacts were identified according to the guidance document of the World Health Organization. HCWs who met all of the following conditions were eligible to apply to an early RTW program: (1) difficult to replace with another HCW, (2) received the third dose of a COVID-19 mRNA vaccine, (3) a negative COVID-19 antigen test before each work shift, and (4) consent from relevant HCWs and their managers to participate in the program. Between January and March 2022, 256 HCWs were identified as close contacts (median age, 35 years;192 female). Thirty-seven (14%) secondary attack cases of COVID-19 were detected. Among 141 HCWs (55%) who applied to the early RTW program, nurses and physicians comprised about three-quarters of participants, with a higher participation rate by physicians (78%) than nurses (59%). Eighteen HCWs tested positive for COVID-19 by the sixth day after starting the early RTW program. No COVID-19 infection clusters were reported during the observation period. These findings suggest that the early RTW program for COVID-19 close contacts was a reasonable strategy for HCWs during the Omicron wave. © 2022 Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases
RESUMO
Technologies using artificial intelligence (AI) have been implemented as services to solve various social problems. However, the contributions of AI to people's mentality and unknown/ unobserved events have not been extensively discussed. In this study, we focus on people's mental changes caused by the COVID-19 pandemic and discuss the origin of data sources for well-being using marketing research online communities (MROCs) and variable quest (VQ). In the experiment, we selected 15 females aged between 20 and 40 who were interested in exploring how daily life has changed since the emergence of COVID-19 using MROCs. The analysis results by VQ revealed that the variable sets of the events differed with the situations, mental states, and attitudes, while not being featured in any of the MROC topics as keywords. The result suggests that ing the features of unobserved events as variable sets, can help us acquire information potentially contributing to unexplored data discovery for human well-being from texts not containing any information related to the data. © 2022 for this paper by its authors.