Drought is a major limiting factor in cotton ( Gossypium hirsutum L.) cultivation, particularly in semi-arid regions, where water scarcity hinders plant growth. This study investigated the effects of rhizobacteria on the morphological and physiological responses of cotton plants under water stress. The experiment was conducted in a greenhouse using a randomized block design with a 3 × 3 × 2 factorial arrangement and five replicates. Plants were subjected to three water-holding capacity levels (100%, 50%, and 25%) and inoculated with Leifsonia sp. CR132 and Enterobacter sp .CR14, compared to a non-inoculated control, to evaluate morphological and physiological parameters. Data were subjected to analysis of variance (ANOVA), and means were compared using Tukey’s test at a 5% significance level. Under severe water stress (25%), inoculation with Leifsonia sp. CR132 and Enterobacter sp.CR14 induced superior responses compared to the control, with increases of up to 1.5-fold in superoxide dismutase, peroxidase, and catalase activities, and an increase of approximately 38% in ascorbate peroxidase activity, indicating enhanced antioxidant efficacy. Under full irrigation (100%), Leifsonia sp. CR132 also stood out, showing a more than 100% increase in total soluble proteins compared to the control group and consistently promoting greater stem growth, stem diameter, and root biomass. Enterobacter sp . CR14 increased proline accumulation by 27% and resulted in a fourfold higher membrane stability index. The results demonstrate that rhizobacteria enhance drought tolerance in cotton plants through morphological and physiological responses, highlighting the potential of Leifsonia sp. CR132 for the development of sustainable agricultural bioinoculants; however, field trials and molecular analyses are required to validate the strains under real-world environmental conditions.
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.