trong static magnetic field (SMF) treatment represents a promising physical strategy for regulating microalgal metabolism. This study investigated the effects of SMF on growth and lipid production in Chlorella pyrenoidosa. Results showed that SMF exposure at 3T for 10 min under photoperiodic conditions was optimal, achieving a biomass of 1.25 g/L (a 42% increase over the control). The biomass productivity increased 1.82-fold to 0.31 g/L/d, and the logarithmic growth phase was shortened by 2 days (Δt = 4 d). Lipid content reached 34.4% (1.26-fold of control), and total lipid yield increased 1.60-fold (439.17 mg/L), with the proportion of polyunsaturated fatty acids (PUFA) rising from 70.14% to 74.28%, and α-linolenic acid increasing from 48.45% to 54.12%. SMF induced an increase in reactive oxygen species, which was accompanied by enhanced non-enzymatic antioxidant capacity involving carotenoids, reduced glutathione, and α-tocopherol. Integrated physiological, transcriptomic, and proteomic analyses indicated that short-term SMF treatment was associated with intracellular calcium elevation and proteomic-level enrichment of mitogen-activated protein kinase (MAPK)-related regulatory processes, potentially contributing to cellular metabolic restructuring. SMF promoted photosynthetic light-harvesting capacity, DNA replication and repair-related networks, and motor protein-associated intracellular transport, while reorganizing central carbon metabolism under mixotrophic conditions to potentially favor lipid accumulation. This study highlights the potential of short-term SMF treatment as a strategy for improving microalgal biomass and PUFA-enriched lipid production.
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
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.