This study reports the experimental design-based optimization of ionic self-assembled lecithin (LC)–chitosan (CS) hybrid nanoparticles using progesterone (PG), a poorly water-soluble lipophilic model drug, to investigate the design-driven development of these nanoparticles. Nanoparticles were prepared by ethanol injection and optimized using a 3² factorial design to establish structure–property relationships between formulation variables and nanoparticle physicochemical performance. The optimized formulation exhibited a nanometric diameter (~ 230 nm), a narrow size distribution, a positive surface charge ( ~ + 20 mV), and a high encapsulation efficiency (~ 97%). Structural analyses (XRD and FTIR) suggested reduced PG crystallinity and interactions among the formulation components, supporting PG incorporation into the hybrid nanoparticles, while field-emission scanning electron microscopy (FESEM) revealed a uniform spherical morphology. Surface charge played a key role in mucin interactions by promoting electrostatic interactions, as evidenced by increased particle size, surface charge reversal, and a binding efficiency of approximately 28%. The hybrid nanoparticles exhibited pH-responsive drug release, with greater release under acidic conditions (73.9% at pH 4.0) than at neutral pH conditions (48.6% at pH 7.4) over 12 h. Release kinetics were compatible with diffusion-controlled behavior ( n < 0.45), indicating transport through the ionically stabilized hybrid lipid–polymer matrix. This study provides a design-driven system for understanding how LC and CS composition modulates the colloidal organization, drug incorporation, surface charge, mucin interaction, and pH-dependent release of PG-loaded hybrid nanoparticles. These findings contribute to PG nanoparticle vaginal mucosal drug delivery by supporting the rational design of lipid–polymer nanocarriers for poorly water-soluble steroidal drugs and by identifying formulation attributes that may guide future mucosal-oriented delivery studies.
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 angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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