Fruit ripening and quality. Fruit ripening is a tightly regulated developmental transition with direct implications for postharvest shelf life, nutritional value, and consumer acceptance. Three studies illuminate novel regulatory nodes in tomato and strawberry. Sun et al. (https://doi.org/10.3389/fpls.2025.1649082) demonstrate that the receptor-like kinase SlRLK-like acts as a positive regulator of tomato ripening by interacting with SlSWEET sugar transporters to enhance sugar accumulation, while also engaging ethylene and lycopene biosynthesis proteins (SlACS2, SlSAMS4, SlPSY1) to promote ethylene production and pigmentation. In contrast, Li et al. (https://doi.org/10.3389/fpls.2025.1696915) identify RAR, a previously uncharacterized NAC transcription factor, as a negative modulator of climacteric ripening onset. RAR is highly expressed at the mature green stage and directly represses ACS2 expression, forming a feedback loop with ethylene that prevents premature ripening. Together, these studies reveal that ripening initiation is governed not only by positive activators but also by repressive checkpoints; this finding has clear implications for the precise-tuning harvest timing through genetic manipulation. Extending these insights to non-climacteric fruits, Chen et al. (https://doi.org/10.3389/fpls.2025.1700348) employed integrative transcriptomics and WGCNA to compare two strawberry varieties with contrasting firmness and sweetness profiles. Their stage-resolved analysis revealed that firmness retention in 'Monterey' is associated with sustained expression of a NAC transcription factor (Fxa2Dg203497), whereas rapid softening in 'Three Princess' correlates with early activation of specific polygalacturonases and starch/sucrose metabolism genes. This work demonstrates that varietal differences in fruit quality arise from stage-specific transcriptional interplay between cell wall-disassembling enzymes and their regulators, providing candidate genes for breeding strawberries with optimized texture and flavor. Collectively, the articles in this Research Topic illustrate the power of integrating genomics, transcriptomics, gene editing, and comparative approaches to dissect the molecular networks underlying horticultural traits of agronomic and ornamental importance. They reveal that development and stress responses are governed by intricate regulatory circuits involving receptor-like kinases, transcription factors, hormone signaling, and epigenetic or post-translational mechanisms. Importantly, several studies demonstrate that targeting cis-regulatory elements, rather than coding sequences alone, offers a precise strategy for trait modulation with minimal pleiotropy. The application of pan-genomic and K-mer-based approaches further underscores the importance of capturing genetic diversity beyond single reference genomes.Looking forward, the translation of these fundamental discoveries into breeding programs and cultivation practices will require continued integration of multi-omics data, functional validation in diverse germplasm, and attention to genotype-byenvironment interactions. We hope this collection stimulates further research that bridges laboratory insights with field applications, ultimately contributing to more productive, resilient, and sustainable horticultural systems.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
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 goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduSep 14, 2026
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
MIT News · Artificial Intelligence· news.mit.eduSep 11, 2026
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.