Diabetes mellitus (DM), a non-communicable disease with a high disease burden, is characterized by insulin resistance and postprandial hyperglycemia.An estimated 589 million adults worldwide were suffering from DM in 2024, a number projected to exceed 853 million by the year 2050.Diabetes has an evolving epidemiological profile driven by rapid urbanization, dietary patterns characterized by the high consumption of refined carbohydrates, and longstanding ethnomedicinal practices involving native plants for glycemic management.Specific epidemiological data on the prevalence of diabetes for the present review were extrapolated from available regional and national estimates due to the lack of comprehensive population-level data estimates.The digestive enzymes, α-amylase and α-glucosidase, are crucial in mediating hyperglycemia.Acarbose, miglitol and voglibose are potent inhibitors of intestinal α-amylase and α-glucosidase, and are routinely used in clinical practice.However, these drugs are associated with gastrointestinal side-effects that affect patient compliance.The present review synthesized evidence from published in vitro, preclinical and clinical data, and highlights the potential of phytoconstituents, such as polyphenols, flavonoids, alkaloids, tannins, terpenoids and saponins, as α-amylase and α-glucosidase inhibitors.Accordingly, three botanicals of cultural and significant medicinal importance are highlighted: Azadirachta indica, Trigonella foenum-graecum and Ocimum tenuiflorum.The present review discusses the potential of plant-derived phytochemicals to modulate carbohydrate-digesting enzymes and delay glucose absorption and also highlights the potential of using advanced cultivation techniques, such as hydroponics, CRISPR-Cas9 gene editing and plant tissue culture to enhance phytoconstituent yield and batch consistency, to improve clinical applications.Some limitations in the context of overcoming gaps in the literature are addressed, which remain largely confined to preclinical data and scarce clinical data.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.