The impact of talent management practices on employee retention: The moderator effect of leader-member exchange and role modeling

Organizations are undergoing serious difficulties to retain talent. Authors argue that Talent Management (TM) practices create beneficial outcomes for individuals and organizations. However, there is no research on the leaders’ role in the functioning of these practices. This study examines how LMX and role modeling influence the impact that TM practices have on employees’ trust in their organizations and retention. The analysis of two questionnaires (Nt1=175; Nt2=107) indicated that TM only reduced turnover intentions, via an increase in trust in the organization, when role modeling was high and not when it was low. Therefore, we can say that leaders are crucial in the TM context, and in sustaining a competitive advantage for organizations.

Modeling and optimization of extracellular polysaccharides production by Enterobacter A47

Polysaccharides are gaining increasing attention as potential environmental friendly and sustainable building blocks in many fields of the (bio)chemical industry. The microbial production of polysaccharides is envisioned as a promising path, since higher biomass growth rates are possible and therefore higher productivities may be achieved compared to vegetable or animal polysaccharides sources. This Ph.D. thesis focuses on the modeling and optimization of a particular microbial polysaccharide, namely the production of extracellular polysaccharides (EPS) by the bacterial strain Enterobacter A47. Enterobacter A47 was found to be a metabolically versatile organism in terms of its adaptability to complex media, notably capable of achieving high growth rates in media containing glycerol byproduct from the biodiesel industry. However, the industrial implementation of this production process is still hampered due to a largely unoptimized process. Kinetic rates from the bioreactor operation are heavily dependent on operational parameters such as temperature, pH, stirring and aeration rate. The increase of culture broth viscosity is a common feature of this culture and has a major impact on the overall performance. This fact complicates the mathematical modeling of the process, limiting the possibility to understand, control and optimize productivity. In order to tackle this difficulty, data-driven mathematical methodologies such as Artificial Neural Networks can be employed to incorporate additional process data to complement the known mathematical description of the fermentation kinetics. In this Ph.D. thesis, we have adopted such an hybrid modeling framework that enabled the incorporation of temperature, pH and viscosity effects on the fermentation kinetics in order to improve the dynamical modeling and optimization of the process. A model-based optimization method was implemented that enabled to design bioreactor optimal control strategies in the sense of EPS productivity maximization. It is also critical to understand EPS synthesis at the level of the bacterial metabolism, since the production of EPS is a tightly regulated process. Methods of pathway analysis provide a means to unravel the fundamental pathways and their controls in bioprocesses. In the present Ph.D. thesis, a novel methodology called Principal Elementary Mode Analysis (PEMA) was developed and implemented that enabled to identify which cellular fluxes are activated under different conditions of temperature and pH. It is shown that differences in these two parameters affect the chemical composition of EPS, hence they are critical for the regulation of the product synthesis. In future studies, the knowledge provided by PEMA could foster the development of metabolically meaningful control strategies that target the EPS sugar content and oder product quality parameters.

New insights on nevirapine use: A mechanistic perspective of its toxic events

Introdução: A nevirapina (NVP) é um fármaco amplamente utilizado para o tratamento da infecção pelo vírus da imunodeficiência humana de tipo 1 (VIH-1), no entanto, a sua utilização na terapêutica crónica tem sido associada à toxicidade hepática e cutânea. O sexo feminino é um factor de risco para o desenvolvimento destes eventos tóxicos, mas as razões para essa diferença entre o sexo feminino e masculino não estão completamente esclarecidas. Diferenças na biotransformação da NVP e na formação de metabolitos tóxicos podem ser as causas subjacentes. O presente trabalho teve como objectivo explorar as diferenças entre homens e mulheres na biotransformação da NVP, como um potencial factor de toxicidade induzida por este fármaco anti-retroviral. Materiais e Métodos: Todos os indivíduos incluídos no presente estudo eram adultos com infecção por VIH-1 confirmada, tratados com 400 mg de NVP uma vez ao dia, durante pelo menos 1 mês. Foram colhidas amostras de sangue e os níveis de NVP e dos metabolitos de fase I foram determinados por cromatografia líquida de alta performance. Os dados antropométricos e clínicos e os perfis de metabolitos foram avaliados de forma a averiguar possíveis diferenças relacionadas com o sexo dos indivíduos. Resultados: Foram incluídos 52 doentes (63% do sexo masculino). O peso corporal foi inferior nas mulheres (p = 0.028) e o sexo feminino foi associado a maiores níveis de fosfatase alcalina (p = 0.036) e lactato desidrogenase (p = 0.037). Os níveis plasmáticos de NVP (p = 0.030) e 3-hidroxi-NVP (p = 0.035), assim como as proporções de 12-hidroxi-NVP (p = 0.037) e 3-hidroxi-NVP (p = 0.001) foram maiores nas mulheres, quando ajustados pelo peso corporal dos indivíduos. Discussão: Existem diferenças na biotransformação da NVP entre homens e mulheres, particularmente na formação de 12-hidroxi-NVP e 3-hidroxi-NVP. Estes resultados apontam para uma formação de metabolitos reactivos, que é dependente do sexo e que pode contribuir para o perfil de dimorfismo sexual associado às reacções tóxicas induzidas pela NVP.