22077 research outputs found
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An updated checklist of the wild bees of Morocco (Hymenoptera: Anthophila)
No full textpeer reviewedAn updated checklist of the wild bees of Morocco (Hymenoptera: Anthophila) (Zootaxa 5747) 77 pp.; 30 cm.5454 - H2020 SAFEGUARD - Safeguarding European wild pollinators - Sources publiques européennes15. Life on lan
Designing Azo-functionalized Peptoids based on Phenylazothiazole for Solar Thermal Energy Storage: a Journey toward Eternal Sunshine
No full textWild bee diversity in the Entre-Sambre-et-Meuse National Park (Belgium)
No full textpeer reviewedHuman-induced environmental changes are driving declines in wild bee populations globally, threatening both pollination services and overall ecosystem stability. The implementation of effective conservation strategies for these pollinators ultimately depends on a clear understanding of both their local patterns of diversity and habitat associations. The Entre-Sambre-et-Meuse National Park (ESEMNP), recently created in southern Belgium, is situated in a botanically rich area but remains poorly documented in terms of standardised bee surveys. To address this gap, we monitored 32 sites over a five-month period, collecting 1159 specimens from 102 species. Of these, 17 are listed as threatened in Belgium’s most recent Red List, including four Critically Endangered species. Analyses revealed that calcareous grasslands supported the highest overall diversity and the greatest concentration of threatened taxa. These results emphasise the conservation value of certain habitat types within the park and the need for management practices that sustain both species richness and populations of at-risk species
Botshit et recherche d’information scientifique : quel est le risque pour les chercheurs en sciences de gestion ?
No full textpeer reviewedLes IA génératives telles que ChatGPT mobilisées pour la recherche d’information s’appuient sur des données d’entraînement et de contexte collectées sur le Web, où les éditeurs bloquent fréquemment les robots. À partir de la liste FNEGE 2022, nous documentons la concentration du marché de l’édition scientifique et mesurons les taux de blocage de cinq robots. Nous montrons que la collecte de données d’entraînement est davantage bloquée que celle des données contextuelles. Notre évaluation de deux outils spécialisés (Consensus et Elicit) met en évidence des gains de traçabilité des réponses mais une transparence limitée sur la composition des corpus ainsi que sur les critères de classement des ressources collectées pour générer la réponse. Nous soutenons que ces caractéristiques induisent trois biais en recherche d’information : validation (accessibilité accrue de sources potentiellement moins robustes), couverture (lacunes dans les bases d’articles) et sélection (sensibilité au classement et aux prompts). Nous recommandons d’harmoniser les politiques de blocage selon la finalité et de renforcer la littératie algorithmique des chercheurs
Spatial distribution of pollutants along the Galician coast: Insights from starfish bioindicators.
No full textpeer reviewedIdentifying suitable aquatic organisms for biomonitoring of marine waters is crucial for effective environmental management. In this study, for the first time in the region, starfish were used as bioindicator of water quality to evaluate the Galician coast, with rich biodiversity and one of the largest maritime import hubs in Europe. For this purpose, this study focused on two common starfish species in the area: Marthasterias glacialis and Asterias rubens. Samples were collected between January and February 2021 from eight specific locations along the Galician coast, each characterized by unique features and varying levels of anthropogenic pressure. The analysis included 17 organochlorine pesticides (OCPs), as well as 17 trace elements. Notably, and for the first time in this context, saponins and marine toxins (including amnesic, lipophilic and paralytic toxins) were also analyzed in all collected samples. The results revealed that concentrations of inorganic and organic compounds in starfish were comparable to those found in other organisms traditionally used as bioindicators in the same region, such as mussels and oysters. Moreover, the obtention of saponin content at different sampling sites allows for comparisons among areas, making it possible to assess whether significant differences exist. Based on the levels of anthropogenic pressures, interspecies variations and the sensitivity of these organisms to these pollutants, this study concludes that starfish have strong potential as bioindicators for monitoring water quality along the Galician coast. They could be integrated into existing coastal monitoring programs, such as those under the Marine Strategy Framework Directive, providing complementary information alongside traditional bioindicators
A contrastive study of English finally/eventually, Dutch eindelijk/uiteindelijk and French finalement/enfin
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Light-driven composite films with photomechanical salicylideneaniline crystals aligned in UV-curing resins for soft actuators
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OUTCOMES IN MACHINE LEARNING MODELS FOR CHILD PSYCHIATRY: A SYSTEMATIC REVIEW OF THE LITERATURE.
Full text linkpeer reviewedMachine learning (ML) offers powerful tools to address the complexity and data richness of mental health research. By detecting subtle patterns, integrating diverse datasets, and supporting precise decision-making, ML holds promise for enhancing diagnosis, prognosis, and personalized treatment. In child and adolescent psychiatry - characterized by marked clinical heterogeneity and developmental variability - ML may help disentangle complexity and guide clinical care. This systematic review examined studies applying ML to psychiatric disorders in individuals aged 0-18 years. Of 65 identified studies, 33 met inclusion criteria. Most focused on attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), with others addressing schizophrenia, bipolar disorder, eating disorders, suicidal behaviors, and depression. Overall, the emphasis was on diagnostic applications. Findings were heterogeneous due to variability in algorithms, datasets, and outcome measures, with performance ranging from modest to high. However, small sample sizes, lack of external validation, and overfitting remain major barriers. ML in child and adolescent psychiatry is at an early stage but shows considerable promise, requiring standardized methods, interpretability, and ethical safeguards for clinical translation