Algal-bacterial biofilms function as stratified microecosystems in which photosynthetic oxygen production and heterotrophic respiration are coupled through counter-diffusive \(\:{\text{O}}_{2}-{\text{C}\text{O}}_{2}\:\) transport. Quantifying this internal carbon loop is critical for designing carbon-neutral and energy-efficient wastewater treatment systems. This study develops a mechanistic two-layer diffusion–reaction model representing an outer phototrophic layer, where CO 2 is assimilated and O 2 is produced, and an inner heterotrophic layer, where O 2 is consumed, and CO 2 is released. Steady-state mass balances with interfacial flux continuity are solved to obtain coupled O 2 and CO 2 profiles across the biofilm. A new dimensionless Carbon Loop Efficiency Index (CLEI) is introduced to quantify the degree of photosynthetic–respiratory coupling based on interfacial gas fluxes. By definition, CLEI = 0 represents a carbon-positive regime with no internal CO 2 recycling, CLEI = 1 denotes complete loop closure and carbon-neutral operation, and CLEI > 1 indicates a potentially carbon-negative regime in which CO 2 assimilation exceeds internally generated CO 2 under the modeled conditions. Model results suggest that, within the validated parameter ranges considered in this study, CLEI approaches unity only within a constrained design window characterized by intermediate total biofilm thickness (approximately 300–500 μm), where oxygen and carbon dioxide transport are balanced through coupled diffusion–reaction processes. Thinner biofilms are carbon-limited (CLEI > 1), whereas thicker biofilms develop oxygen diffusion limitation (CLEI < 1), preventing complete loop closure. Thinner biofilms are carbon-limited (CLEI > 1), whereas thicker biofilms develop oxygen diffusion limitation (CLEI < 1), preventing full loop closure. The framework demonstrates how stratified algal–bacterial biofilms can achieve self-oxygenation and intrinsic CO₂ mitigation through transport-controlled coupling, and provides a mechanistic basis for the rational design of carbon-neutral or potentially carbon-negative wastewater treatment and photobioreactor systems.
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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