Trainee-environment interactions that stimulate motivation:A rich pictures study

Staying motivated when working and learning in complex workplaces can be challenging. When complex environments exceed trainees' aptitude, this may reduce feelings of competence, which can hamper motivation. Motivation theories explain how intrapersonal and interpersonal aspects influence motivation. Clinical environments include additional aspects that may not fit into these theories. We used a systems approach to explore how the clinical environment influences trainees' motivation and how they are intertwined. We employed the rich pictures drawing method as a visual tool to capture the complexities of the clinical environment. A total of 15 trainees drew a rich picture representing a motivating situation in the workplace and were interviewed afterwards. Data collection and analysis were performed iteratively, following a constructivist grounded theory approach, using open, focused and selective coding strategies as well as memo writing. Both drawings and the interviews were used to reach our results. Trainees drew situations pertaining to tasks they enjoyed doing and that mattered for their learning or patient care. Four dimensions of the environment were identified that supported trainees' motivation. First, social interactions, including interpersonal relationships, supported motivation through close collaboration between health care professionals and trainees. Second, organisational features, including processes and procedures, supported motivation when learning opportunities were provided or trainees were able to influence their work schedule. Third, technical possibilities, including tools and artefacts, supported motivation when tools were used to provide trainees with feedback or trainees used specific instruments in their training. Finally, physical space supported motivation when the actual setting improved the atmosphere or trainees were able to modify the environment to help them focus. Different clinical environment dimensions can support motivation and be modified to create optimal motivating situations. To understand motivational dynamics and support trainees to navigate through postgraduate medical education, we need to take all clinical environment dimensions into account54324225

Colombia's cyberinfrastructure for biodiversity: Building data infrastructure in emerging countries to foster socioeconomic growth

Science and innovation are not a luxury but a prerequisite for social and economic development (Annan, 2003)

Colombia, an unknown genetic diversity in the era of Big Data

Abstract Background Latin America harbors some of the most biodiverse countries in the world, including Colombia. Despite the increasing use of cutting-edge technologies in genomics and bioinformatics in several biological science fields around the world, the region has fallen behind in the inclusion of these approaches in biodiversity studies. In this study, we used data mining methods to search in four main public databases of genetic sequences such as: NCBI Nucleotide and BioProject, Pathosystems Resource Integration Center, and Barcode of Life Data Systems databases. We aimed to determine how much of the Colombian biodiversity is contained in genetic data stored in these public databases and how much of this information has been generated by national institutions. Additionally, we compared this data for Colombia with other countries of high biodiversity in Latin America, such as Brazil, Argentina, Costa Rica, Mexico, and Peru. Results In Nucleotide, we found that 66.84% of total records for Colombia have been published at the national level, and this data represents less than 5% of the total number of species reported for the country. In BioProject, 70.46% of records were generated by national institutions and the great majority of them is represented by microorganisms. In BOLD Systems, 26% of records have been submitted by national institutions, representing 258 species for Colombia. This number of species reported for Colombia span approximately 0.46% of the total biodiversity reported for the country (56,343 species). Finally, in PATRIC database, 13.25% of the reported sequences were contributed by national institutions. Colombia has a better biodiversity representation in public databases in comparison to other Latin American countries, like Costa Rica and Peru. Mexico and Argentina have the highest representation of species at the national level, despite Brazil and Colombia, which actually hold the first and second places in biodiversity worldwide. Conclusions Our findings show gaps in the representation of the Colombian biodiversity at the molecular and genetic levels in widely consulted public databases. National funding for high-throughput molecular research, NGS technologies costs, and access to genetic resources are limiting factors. This fact should be taken as an opportunity to foster the development of collaborative projects between research groups in the Latin American region to study the vast biodiversity of these countries using ‘omics’ technologies

Composition and Diversity of LTR Retrotransposons in the Coffee Leaf Rust Genome (Hemileia vastatrix)

Coffee leaf rust is the most damaging disease for coffee cultivation around the world. It is caused by a fungal pathogen, Hemileia vastatrix (Hva), belonging to the phylum Basidiomycota. Coffee leaf rust causes significant yield losses and increases costs related to its control, with evaluated losses of USD 1–2 billion annually. It attacks both the cultivated coffee species Coffea canephora (Robusta coffee) and Coffea arabica (Arabica coffee). New races, or pathotypes, are constantly emerging with increased virulence, suggesting a rapid evolution of the pathogen. Previous genetic and genomic studies have indicated a limited nucleotide diversity of Hva despite a high genetic diversity and large genome size estimated to be ~800 Mb, with a high content of repeated sequences (>74%). Despite several genomic resources and the release of a recent partial genome sequence, the diversity of these repeated sequences and how they may impact the evolution of the leaf rust genome have not been investigated in detail. In an attempt to characterize the transposable elements within the Hva genomes, we report here new lineages of long terminal repeat (LTR) retrotransposons, called CO-HUI, Soroa, and Baco, which are classified into Gypsy, and and Labe and Mapi, which are classified as Copia. The CO-HUI and Soroa elements represent the main part of all Hva transposable elements, as well as approximately 37% of the available genome assemblies. Mapi and CO-HUI are the main expressed families in RNA-seq data. Although Soroa is the lineage showing more insertions into exons and genes, Mapi seems to be more frequently involved in co-expression with genes. All these new families are also present in the Pucciniales, suggesting that they dynamically participate in their genome evolution

Trainee‐environment interactions that stimulate motivation: A rich pictures study

Context Staying motivated when working and learning in complex workplaces can be challenging. When complex environments exceed trainees’ aptitude, this may reduce feelings of competence, which can hamper motivation. Motivation theories explain how intrapersonal and interpersonal aspects influence motivation. Clinical environments include additional aspects that may not fit into these theories. We used a systems approach to explore how the clinical environment influences trainees’ motivation and how they are intertwined. Methods We employed the rich pictures drawing method as a visual tool to capture the complexities of the clinical environment. A total of 15 trainees drew a rich picture representing a motivating situation in the workplace and were interviewed afterwards. Data collection and analysis were performed iteratively, following a constructivist grounded theory approach, using open, focused and selective coding strategies as well as memo writing. Both drawings and the interviews were used to reach our results. Results Trainees drew situations pertaining to tasks they enjoyed doing and that mattered for their learning or patient care. Four dimensions of the environment were identified that supported trainees’ motivation. First, social interactions, including interpersonal relationships, supported motivation through close collaboration between health care professionals and trainees. Second, organisational features, including processes and procedures, supported motivation when learning opportunities were provided or trainees were able to influence their work schedule. Third, technical possibilities, including tools and artefacts, supported motivation when tools were used to provide trainees with feedback or trainees used specific instruments in their training. Finally, physical space supported motivation when the actual setting improved the atmosphere or trainees were able to modify the environment to help them focus. Conclusions Different clinical environment dimensions can support motivation and be modified to create optimal motivating situations. To understand motivational dynamics and support trainees to navigate through postgraduate medical education, we need to take all clinical environment dimensions into account

Colombia's cyberinfrastructure for biodiversity: Building data infrastructure in emerging countries to foster socioeconomic growth

Science and innovation are not a luxury but a prerequisite for social and economic development (Annan, 2003)