Diffusion is a fundamental process that governs molecular transport in biological systems and is influenced by the physical and chemical properties of the surrounding environment, including matrix stiffness and molecular crowding. In this study, we developed a two-dimensional hydrogel-based model to investigate how these factors modulate diffusion. Two concentrations of agarose gels (\(1\%\) w/v and \(2\%\) w/v) were taken to represent differences in matrix stiffness, while \(10\%\) w/v sucrose was introduced to create a crowding effect in respective conditions. In our setup, four experimental conditions were designed and analysed, i.e. baseline condition A (\(1\%\) w/v agarose), condition B (\(1\%\) w/v agarose with \(10\%\) w/v sucrose), condition C (\(2\%\) w/v agarose), and condition D (\(2\%\) w/v agarose with \(10\%\) w/v sucrose). Diffusion of methylene blue in four hydrogel conditions was monitored for over 24 hours, and radial spread of dye was quantified by image analysis using ImageJ. The mean squared radius (\(r^2\)) followed a linear relationship with time across all conditions in agreement with Fickian diffusion. However, effective diffusion was progressively reduced from baseline to respective conditions (A \(>\) B \(>\) C \(>\) D), with a percentage reduction of \(6.9\%\) on introducing crowding in condition B, \(14.5\%\) under stiffness alone in condition C and \(21.8\%\) under combined constraints in condition D at a significance level of \(p < 0.05\). These observations and results indicate that stiffness and crowding have an independent and additive effect on restricting molecular transport. This model provides a simple framework for understanding how physical limitations can influence diffusion-driven processes in complex biological environments.
The results are packaged in the Greenfield Startup Model (GSM), which explains the priority of startups to release the product as quickly as possible, and the need to shorten time-to-market, by speeding up the development through low-precision engineering activities.
Carmine Giardino, Nicolò Paternoster, M. Unterkalmsteiner et al.· IEEE Transactions on Softwar...· 178 citations· ⚡14
Software startup companies develop innovative, software-intensive products within limited timeframes and with few resources, searching for sustainable and scalable business models.
M. Unterkalmsteiner, P. Abrahamsson, Xiaofeng Wang et al.· e-Informatica Software Engin...· 157 citations· ⚡17
This study conducts a case survey study based on the secondary data of the major pivots happened in 49 software startups, and demonstrates that customer need pivot is the most common among all pivot types.
Sohaib Shahid Bajwa, Xiaofeng Wang, Anh Nguyen-Duc et al.· Empirical Software Engineeri...· 127 citations· ⚡15
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
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 application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new an...
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9