Nov 2026· Food Research International· Vol 243 Pt 1, pp.
120331
· 0 citations· 68 references
Medicine
Abstract
Food structure and its effect on deformation behaviour and sensory perception is still a challenge in food science. Small-Amplitude Oscillatory Shear (SAOS) is a common method for the determination of the linear viscoelastic properties and stability of food materials, but it is not applicable to large deformations, such as those occurring during food processing and consumption. Large-Amplitude Oscillatory Shear (LAOS) extends this limitation by giving insights into the nonlinear phenomena like yielding, strain hardening, strain softening and structural recovery. In addition to these rheological methods, food tribology investigates friction and lubrication mechanisms at the contact surfaces of the mouth, including complementary methods that are related to the sensory attributes of creaminess, smoothness, roughness and astringency. This review suggests a common framework to incorporate the fields of SAOS, LAOS, and food tribology, to understand the relationship between structure-function-sensory in a wide variety of food systems. The latest analytical techniques like Fourier-transform rheology, Chebyshev polynomial analysis, Lissajous-Bowditch plots, biomimetic tribological techniques and machine-learning-based predictive tools are explained in detail. This approach is illustrated with examples of dairy products, plant-based protein foods, dysphagia-friendly formulations, reduced fat foods and 3D-printed foods. The review highlights that the use of nonlinear measurements of the rheological parameters is essential to augment the prediction of sensory properties of these materials in order to overcome limitations of the application of conventional linear rheology. Furthermore, the capabilities of AI and data modelling techniques for texture forecasting and food design are examined. In general, the proposed framework is useful for the predictive food engineering and the development of high quality, sustainable and consumer friendly food products.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al.· Neural Information Processin...· 302 citations· ⚡60
Adaptive AI agents can help make BIM data more machine-readable by navigating IFC models, interpreting inconsistent information, and mapping it to defined standards. In this blog, Alok Rawat shares findings from a real-world pilot in construction workflows. The post Adaptive AI Agents in Construction Workflows appeared first on GPT-Lab.
What does it take to trust AI-driven HVAC optimization? Our AI Model Factory combines agents, machine learning, reinforcement learning and deterministic checks in a governed workflow designed for messy, real-world building data. The post We built an AI factory for HVAC control appeared first on GPT-Lab.