Gestational Diabetes Mellitus (GDM) and obesity affect the functioning of multiple maternal systems and influence colonization of the newborn gastrointestinal through the breastmilk microbiota (BMM). It is currently unclear how GDM and obesity affect the human BMM composition. Here, we applied 16S-rRNA high-throughput sequencing to human colostrum milk to characterize BMM taxonomic changes in a cohort of 43 individuals classified in six subgroups according to mothers patho-physiological conditions (healthy control (n = 18), GDM (n = 13), or obesity (n = 12)) and newborn gender. Using various diversity indicators, including Shannon/Faith phylogenetic index and UniFrac/robust Aitchison distances, we evidenced that BMM composition was influenced by the infant gender in the obesity subgroup. In addition, the GDM group presented higher microbial diversity compared to the control group. Staphylococcus, Corynebacterium 1, Anaerococcus and Prevotella were overrepresented in colostrum from women with either obesity or GDM, compared to control samples. Finally, Rhodobacteraceae was distinct for GDM and 5 families (Bdellovibrionaceae, Halomonadaceae, Shewanellaceae, Saccharimonadales and Vibrionaceae) were distinct for obesity subgroups with an absolute effect size greater than 1 and a q-value ≤ 0.05. This study represents the first effort to describe the impact of maternal GDM and obesity on BMM.

R etail companies today face new challenges with more intensified competition due to the accelerated pace of technological change, more sophisticated management practices, and industry consolidation. Hence, retail companies have shifted their focus from not only boosting sales but also to ways of attracting and retaining customers. This paper offers a new perspective on how to improve the performance of retail organizations by enhancing customer experience. It suggests that customer experience and use of technology are fundamental drivers of consumer loyalty. We propose a new shopping experience model based on a synergic combination of design thinking and marketing intelligence methodologies. The role of technology in customer satisfaction is also integrated into this novel

The production of hybrid vehicles has experienced intense growth in recent years. Carmakers invest significant resources into the development of advanced hybrid vehicles. The global prospects of this process can be estimated by systematically analyzing patents outlined in international patent databases. The paper assesses the state-of-art and the future of the industry. Evidence from leaders in the development of hybrid vehicles demonstrates the productivity of the methodology for analyzing patent data developed by the authors.

Open die forging is an important process for alloys and steels present in a variety of industries, such as in the aerospace industry, construction, mining and general machinery. During the forging process several wear mechanisms occur: thermal fatigue, plastic deformation, mechanical fatigue, etc. causing quality damage and economic losses. Academy and industry are devoting significant efforts to confront this situation where research acquires a key role. Under this context the objective of our research is to apply patent analyses as part of a Competitive Technical Intelligence methodology on open die forging. In particular, a keyword-based patent analysis and a patent citation analysis were develop

Overweight and obesity (O&O) are a global public health problem, which many scientists have named as the XXI century epidemic. Since the 80’s decade, the O&O world prevalence has increased both in children and adults, and Mexico is among the highest. Under this context, the main goal of this research is to develop a business model based on a service of nutritional education as a way to fight against O&O. This research proposes a new model founded on a strategic combination of Service Design and Competitive Intelligence methodologies. The aim is to generate a unique and innovative service tailored to customer needs.