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Purpose: This study aims to identify the strategic leadership and change management used to obtain the Association to Advance Collegiate Schools of Business (AACSB) accreditations as well as the research development on AACSB in the past decade. Design/methodology/approach: This study used a systematic literature review following Petticrew and Roberts' study. The articles were limited to empirical studies published from 2013 to 2022, taken from the Dimensions AI database. Findings: The findings suggested that two leadership styles were used to obtain AACSB accreditation: dominance-oriented transformational and financial leadership, alongside three traits of academic leaders: commitment, engagement and encouragement. Additionally, three change management models/processes were found in the articles: teaching evaluation framework, temporary isomorphism and authenticity. Finally, they discovered that the object of the studies on AACSB accreditation had been narrowed down from the organizational level to smaller objects consisting of schools' identity, teaching, learning and business schools' key players. Research limitations/implications: As this study only used Dimensions AI, potential articles related to the topic outside the database could not be obtained. Thus, it limits the scope of the findings of this paper. Practical implications: This study informs academic leaders in business schools about the role of strategic leadership and change management in obtaining AACSB accreditation. Originality/value: Through a systematic scoping review, this study presented a decade of research development on AACSB in addition to the strategic leadership and change management needed to obtain it.

In order to analyze the scope and importance of the cooperation dynamics of Latin America's two largest economies, it is essential to observe their respective roles in the global scenario. To this end, it will be shown that under specific contexts there are nations that, despite their similarities, achieve a limited scope of cooperation. This paper will address the possible theoretical bases under the paradigms of realism, idealism and constructivism in order to understand the dynamics of the relationship between Mexico and Brazil, from its beginnings and consolidation as nations, analyze their convergences and contemporary challenges of trade balance and investments to end with the most relevant pending issues for both nations. [ABSTRACT FROM AUTHOR]

The Coronavirus Disease 2019 (COVID-19) pandemic has had social and clinical effects over the healthcare system. Globally, over 314.019.135 confirmed cases and 5.507.370 deaths have been recorded at 12 January 2022, based on the Dashboard updated by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. The continuous rise in the number of asymptomatic, pre-symptomatic, and symptomatic patients has developed efficient and accessible models for prediction using Open Source Libraries and Cloud Services. This paper proposes different machine-learning algorithms to analyse the COVID-19 OpenData Resources from Mexico and Brazil, which represent the two major populations, economics and affected by disease countries in Latin America. This model uses only the COVID-19 patient's geographical, social conditions, economics conditions, clinical risk factors, symptom reports, and demographic data to predict recovery and death. The model of Mexico has an accuracy of 93% and the perceived mean of recall and the precision (F1 Score) of 0.79 on the dataset used. On the other hand, the model of Brazil has an accuracy of 69% and F1 score of 0.75 on the dataset studied. The result considers data from patients under the age of 0 and 120 years. The contribution of the work is the application of Big Data technologies and Machine Learning algorithms using Open Resource Libraries and Amazon Web Services (AWS) with the vision to improve the clinical diagnosis, even infectious disease with mathematical approaches. [ABSTRACT FROM AUTHOR]

The genus Trogolaphysa comprises 81 described species distributed across the Neotropical and Afrotropical regions. In the Americas, just over half of the species found in subterranean habitats have a reduced eye number (0–5 eyes). Subterranean species are of interest as models to study the evolution of morphological adaptations. Many subterranean species of Trogolaphysa were described before the introduction of chaetotaxy as a diagnostic tool and thus remain incompletely described and diagnosed. To identify gaps in descriptions and facilitate the identification of newly collected forms, we provide standardized summary descriptions, species diagnoses, diagnostic tables, and a dichotomous key to the 33 Neotropical species of Trogolaphysa with reduced eye number. As a result of this synthesis, we describe two new troglobiontic species, Trogolaphysa reneaui n. sp. and Trogolaphysa welchi n. sp. from Belizean caves. [ABSTRACT FROM AUTHOR]