Generative models are being used to address data scarcity, modality gaps, and semantic grounding in wearable Human Activity Recognition (HAR) and Health Monitoring (HM), but deployment evidence remains limited. This focused evidence-map review examines Scopus-indexed Q1/Q2 journal literature on generative Artificial Intelligence (AI) for wearable information fusion, focusing on datasets, validation practices, and deployment claims. A PRISMA-guided Scopus search, followed by Q1/Q2 journal filtering and backward reference checking, yielded a frozen 2023-2025 corpus of 22 studies: 17 primary, 4 reviews/surveys, and 1 framework paper. In this corpus, Generative Adversarial Networks (GANs) are the most frequent generative family for augmentation, class balancing, and biosignal synthesis. Large Language Models (LLMs) appear mainly as semantic or interface layers for activity description, pseudo-label assessment, knowledge retrieval, and decision-use prototypes, rather than as clinically validated systems. The primary studies show a consistent reality gap: downstream classification or recognition gains on benchmark tasks are commonly reported, but physiological plausibility, privacy evaluation, clinical or contextual grounding, and deployment-level generalization remain sparse or indirect. We map each study to information-fusion roles, assess dataset representativeness and alignment with intended deployment settings, and summarize validation coverage through a qualitative matrix. The corpus supports technical progress, but the evidence is narrower than deployment-oriented language sometimes implies. Stronger deployment claims require richer longitudinal wearable datasets, validation beyond benchmark utility, explicit privacy reporting, and clinical claims matched to the available evidence.
Salt intrusion in estuaries poses significant challenges for water management and ecosystem health. However, modelling studies often remain disconnected from local management needs and are frequently resource-intensive, hindering their integration into management practice. This study presents an integrated methodological framework that combines estuarine modelling with structured stakeholder participation to support the assessment of salt intrusion management strategies. The framework couples a three-dimensional hydrodynamic model with participatory scenario development, enabling stakeholders to co-design and evaluate management interventions through a structured and time-efficient process. The approach is applied to the Guadiana Estuary, where current and potential scenarios were developed collaboratively to examine the impacts of dredging, freshwater abstraction, and supplementary tributary inputs under different river discharge conditions. The modelling framework enables systematic comparison of individual and combined management strategies and their effects on salt intrusion and stratification along the estuary. Results indicate that dredging and reduced river discharge increase inland salt intrusion, while targeted freshwater inputs can mitigate salinity increases in the lower estuary. Overall, the study highlights the value of integrating stakeholder participation within a simplified modelling framework that balances process representation and resource demand, thereby improving the application of estuary models into operational scenarios and decision-making.
In this paper we study the computational power of certain classes of dynamical systems defined by the iteration of piecewise rational affine maps on the compact set [0, 1]n as a model of computation over the real numbers. To achieve this aim we use symbolic dynamics to study the dynamics of this class of piecewise rational affine maps and in the process introduce multidimensional generalized shifts, which are an extension of the generalized shift of Moore to higher dimensional spaces. We show that multidimensional generalized shifts are not equivalent (conjugate) to (one-dimensional) generalized shifts. We then establish that computable analysis, which allows to extend computability based on Turing machines to real numbers, is computationally equivalent to multidimensional generalized shifts, both at a computability and at a computational complexity (polynomial time) level. This implies that a certain class of dynamical systems defined by the iteration of rational piecewise affine maps on the unit ball can thus compute any function computable over the real numbers in the computable analysis sense. These results highlight that several distinct models of computation over the real numbers, such as computable analysis, Claude Shannon's General Purpose Analog Computer, certain classes of piecewise rational affine maps, and the generalized shift, are all computationally equivalent. (c) 2026 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Meagre, Argyrosomus regius, one of Europe's largest coastal top predatory fish species, plays an important role in commercial and recreational fisheries. However, this species is particularly vulnerable due to overfishing, high genetic fragmentation, late first reproduction, and the restriction of spawning to limited, heavily impacted coastal areas. Understanding its spatial ecology and behaviour is therefore essential for effective fisheries management and conservation. We used pop-up satellite archival tags to investigate the horizontal movements, and depth-temperature preferences of meagre in one of their main spawning areas, the Gironde Estuary, France. A total of 37 fish were tagged, of which 28 provided useable data for primary geolocation analyses, with attachment durations ranging from 1 to 176 days (mean = 50 days). These data revealed a seasonal shift in both vertical and horizontal habitat use, mainly influenced by environmental temperature shifts, with fish utilizing shallow warmer waters during the summer and deeper cooler waters during the winter. The maximum depth observed was 141.5 m and water temperatures experienced ranged between 12.6 °C and 24.9 °C (mean = 19.1 ± 1.92 °C). Depth use was broader in winter than in summer, while temperature variation followed the opposite pattern, being wider in summer and narrower in winter. A novel approach was developed to incorporate Continuous Wavelet Transform (CWT)-derived thermal periodicity as auxiliary spatial evidence in geolocation models, using semidiurnal temperature oscillations to identify periods potentially associated with tidally influenced habitats in the Gironde Estuary. Reconstructed distributions predominantly supported estuary-associated, coastal and shelf habitat use, with more extensive coastal movements in some individuals and later use of deeper shelf habitats in the longest well-resolved record. These findings provide key insights into the habitat use and migration patterns of this economically important species and highlight the importance of protecting critical aggregation and spawning areas for effective spatial management.
Trioza erytreae is a vector of Huanglongbing (HLB), a highly damaging citrus disease. Lemon plants (Citrus ×limon) are the preferred host for T. erytreae, although the underlying mechanisms behind this remain to be fully elucidated. A comparative proteomic analysis of T. erytreae nymphs in their fourth and fifth instars that were fed either lemon or sweet orange (SwO) was carried out to investigate the interaction with its hosts. A 24-hour sucrose feeding assay was conducted to understand proteomic responses to a nutrient-poor diet. Proteomic profiling using nanoscale liquid chromatography coupled to tandem mass spectrometry (nanoLC-MS/MS) identified a total of 1,477 psyllid proteins with high confidence. Oviposition and nymphal development were also evaluated across citrus hosts, revealing higher numbers of nymphs developing on lemon than on SwO. Feeding on SwO enriched pathways related to “transmission across chemical synapses” and “metabolism of proteins”. Responses observed under a 24-hour sucrose-only diet enriched the biological processes “response to external stimulus”, “response to stress” and “cytoskeleton organization”. In contrast, these enrichments were absent on lemon host, suggesting that lemon provides a more favourable environment for psyllid development. In addition, nymphs developed on lemon exhibited enhanced energy metabolism and an increase in translation initiation factors. Overall, the results demonstrate that development strongly depends on host plant species, with SwO impairing optimal growth and lemon promoting successful nymphal development.
