Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
Permanent grassland soils can act as a sink for carbon and may therefore positively contribute to climate change mitigation and adaptation. We compared young (5–15 years since latest grassland renewal) with old (>20 years since latest grassland renewal) permanent grassland soils in terms of carbon stock, carbon sequestration, drought tolerance and flood resistance. The research was carried out on marine clay soil at 10 dairy farms with young and old permanent grassland. As hypothesized, the carbon stock was larger in old grassland (62 Mg C ha−1) topsoil (0–10 cm) than in young grassland topsoil (51 Mg C ha−1). The carbon sequestration rate was greater in young (on average 3.0 Mg C ha−1 year−1) compared with old grassland (1.6 Mg C ha−1 year−1) and determined by initial carbon stock. Regarding potential drought tolerance, we found larger soil moisture and soil organic matter (SOM) contents in old compared with young grassland topsoils. As hypothesized, the old grassland soils were more resistant to heavy rainfall as measured by water infiltration rate and macroporosity (at 20 cm depth) in comparison with the young grassland soils. In contrast to our hypothesis we did not find a difference in rooting between young and old permanent grassland, probably due to large variability in root biomass and root tip density. We conclude that old grasslands at dairy farms on clay soil can contribute more to the ecosystem services climate change mitigation and climate change adaptation than young grasslands. This study shows that under real farm conditions on a clay topsoil, carbon stock increases with grassland age and even after 30 years carbon saturation has not been reached. Further study is warranted to determine by how much extending grassland age can contribute to climate change mitigation and adaptation.
MULTIFILE
Objective: The participation of students from both undergraduate medical education (UGME) and postgraduate medical education (PGME) in independent patient care contributes to the development of knowledge, skills and the professional identity of students. A continuing collaboration between students and their preceptor might contribute to opportunities for students to independently provide patient care. In this systematic review, we aim to evaluate whether longitudinal training models facilitate the independent practice of students and what characteristics of longitudinal training models contribute to this process. Method: This systematic review was performed according to the PRISMA guidelines. In May 2020, we performed a search in three databases. Articles evaluating the impact of longitudinal training models on the independent practice of students from both UGME and PGME programmes were eligible for the study. A total of 68 articles were included in the study. Quality of the included studies was assessed using the Quality Assessment Tool for Studies with Diverse Designs (QATSDD).Results: Both UGME and PGME students in longitudinal training models are more frequently allowed to provide patient care independently when compared with their block model peers, and they also feel better prepared for independent practice at the end of their training programme. Several factors related to longitudinal training models stimulate opportunities for students to work independently. The most important factors in this process are the longitudinal relationships with preceptors and with the health care team. Conclusion: Due to the ongoing collaboration between students and their preceptor, they develop an intensive and supportive mutual relationship, allowing for the development of a safe learning environment. As a result, the professional development of students is fostered, and students gradually become part of the health care team, allowing them the opportunity to engage in independent patient care.
