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GeroScience · 2026 · Springer
Background Currently, no single biomarker can reliably identify preclinical Alzheimer’s disease (AD), particularly at or before the mild cognitive impairment (MCI) stage. Given the heterogeneity of MCI, integrative approaches are needed to improve early risk stratification. Objectives (i) To derive robust latent cognitive components from a multicenter, clinically defined MCI cohort using principal component analysis (PCA); (ii...
Plant and Soil · 2026 · Vol. 525 · Issue 2 · Springer
Background and aims Reforestation is widely promoted to mitigate soil degradation and desertification in semi-arid Mediterranean regions under future climate-change scenarios. The argan tree ( Argania spinosa ), a drought-resistant species, has been proposed as a potential alternative to pine ( Pinus halepensis). Methods We assessed soil physicochemical properties, organic matter (SOM) characteristics (content, molecular compo...
Marine Biology · 2026 · Vol. 173 · Issue 7 · Springer
The Southwestern Atlantic Ocean (SWAO) is an important feeding and developmental area for loggerhead turtle ( Caretta caretta ). However, long-term patterns of resource use across life stages and sexes remain poorly understood for the species in this region. Here, we used stable isotope analysis (SIA) of sequential layers of carapace scutes to investigate resource use of loggerhead turtles in the SWAO across life stages and se...
Drug Delivery and Translational Research · 2026 · Vol. 16 · Issue 3 · Springer
Monoclonal antibodies (mAbs) are promising therapeutic agents for neurological disorders due to their high specificity. However, their clinical application is significantly hindered by their poor transport across the blood-brain barrier (BBB) and their limited diffusion within the brain parenchyma. While significant efforts have been oriented to tackle the first barrier, the challenge of efficient brain diffusion remains large...
Ecology · 2026 · Vol. 107 · Issue 2 · Wiley
Cristian Pérez‐Granados; Jon Morant; Kevin F. A. Darras; Oscar H. Marín‐Gómez; Irene Mendoza; Miguel A. Muñoz‐Mohedano; Eduardo Santamaría‐García; Giulia Bastianelli; Alba Márquez‐Rodríguez; Michał Budka; Gerard Bota; José M. De la Peña‐Rubio; Eladio L. García de la Morena; Manu Santa‐Cruz; Pablo de la Nava; Mario Fernández‐Tizón; Hugo Sánchez‐Mateos; Adrián Barrero; Juan Traba; Tomasz S. Osiejuk; Patrick J. Hart; Amanda K. Navine; Andrés F. Montoya Muñoz; Carlos B. de Araujo; Gabriel L. M. Rosa; Ingrid M. Denóbile Torres; Ana L. Camargo Catalano; Cássio Rachid Simões; Diego Llusia; Manuel B. Morales; Pablo Acebes; Juan A. Medina; Nicholas Brown; Christos Astaras; Ilias Karmiris; Elizabeth Navarrete; Maxime Cauchoix; Luc Barbaro; David Funosas; Dominik Arend; Sandra Müeller; Fernando González‐García; Alberto González‐Romero; Christos Mammides; Michaelangelo Pontikis; Giordano Jacuzzi; Julian D. Olden; Sara P. Bombaci; Gabriel Marcacci; Alain Jacot; Juan P. Zurano; Elena Gangenova; Diego Varela; Facundo Di Sallo; Gustavo A. Zurita; Andrey Atemasov; Junior A. Tremblay; Vincent Lamarre; Anja Hutschenreiter; Alan Monroy‐Ojeda; Mauricio Díaz‐Vallejo; Sergio Chaparro‐Herrera; Robert A. Briers; Renata Sousa‐Lima; Thiago Pinheiro; Wigna C. da Silva; Alice Calvente; Anamaria Dal Molin; Alexandre Antonelli; Svetlana Gogoleva; Igo Palko; Hiếu Vũ Trọng; Marina H. Lage Duarte; Natalia dos Santos Saturnino; Samuel R. Silva; Ana Rainho; Paula Lopes; Karl‐L. Schuchmann; Marinêz I. Marques; Ana S. de Oliveira; Nick A. Littlewood; Mao‐Ning Tuanmu; Yi‐Ru Cheng; Hsuan Chao; Sebastian Kepfer‐Rojas; Andrea L. Aguilera; Lluís Brotons; Mariano J. Feldman; Louis Imbeau; Pooja Panwar; Aaron S. Weed; Anant Deshwal; Raiane Vital da Paz; Carlos Salustio‐Gomes; Dorgival D. Oliveira‐Júnior; Cicero S. Lima‐Santos; Mauro Pichorim; Wuyuan Pan; Eben Goodale; Alfredo Attisano; Jörn Theuerkauf; Esther Sebastián‐González
Under the current global biodiversity crisis, there is a need for automated and noninvasive monitoring techniques that can gather large amounts of data cost‐effectively at various ecological scales, from local to large spatial scales. These data can then be analyzed to inform stakeholders and decision‐makers. One such technique is passive acoustic monitoring, which is commonly coupled with automatic identification of animal sp...