In this addendum we re-assess the constraints on Non-Standard Interactions (NSI) from the combined analysis of data from oscillation experiments and from COHERENT after including the new data released since the publication of ref. [1]., This work was supported by the spanish grants FPA2016-76005-C2-1-P, FPA2016-78645-P,
PID2019-105614GB-C21 and PID2019-110058GB-C21, by USA-NSF grant PHY-1915093,
– 5 –
JHEP12(2020)071
by AGAUR (Generalitat de Catalunya) grant 2017-SGR-929, by EU ITN project H2020-
MSCA-ITN-2019/870881-HIDDeN, and by the Spanish Agencia Estatal de Investigación
through the grant “IFT Centro de Excelencia Severo Ochoa SEV-2016-0597”. IE acknowledges
support from the FPU program fellowship FPU15/0369. The authors acknowledge
use of the HPC facilities at the IFT (Hydra cluster)

16 Pág.
Instituto de Ciencias Forestales (ICIFOR), Tree biomass and the diversity relationship in mixed forest have an impact on forest ecosystem services provisions. Tree biomass yield is driven by several aspects such as species identity, site condition, stand density, tree age and tree diversity expressed as species mingling and structural diversity. By comparing diverse degrees of tree mixtures in natural forests, we can gain insight into the ecosystem services provision level and dynamic. Two monitoring sites in the Castilian Northern Plateau (Spain) have been analyzed to disentangle the relationships between biodiversity levels and tree biomass yield. Two permanent one hectare (ha) squared plots were established at Llano de San Marugán and Valdepoza. In each plot, all individual trees were measured (diameter and height), georeferenced and its species identity defined. Tree species in the two sites were Pinus sylvestris, Pinus nigra, Pinus pinea, Quercus pyrenaica, Quercus ilex, Quercus faginea and Juniperus thurifera. From these datasets, ten diversity indices that fall in three categories (species richness indices, species compositional/mingling indices and vertical structural indices) were used as predictor variables to fit several candidate models. By merging the trees by site (without considering the species identity) selected models include individual tree basal area as an explanatory variable combining by addition or interaction with diversity indices. When species are analyzed independently, structural diversity impacts on biomass yield in combination (additive or multiplicative) with tree size is negative for Pinus nigra and positive for the other species., This paper has been funded partly by the projects PCIN-2017-027 (Mixed species forest management. Lowering risk, increasing resilience, REFORM: REsilience of FORest Mixtures funded by the Spanish Ministry of Science under the EU ERA-NET Sumforest: Sustainable forest management, multifunctional forestry, European Forest Policy) and COMFOR-SUDOE: Integrated and intelligent management of complex forests and mixed-species plantations in Southwest Europe (Project Code: SOE4/PA/E1012) through the European Regional Development Fund (ERDF) Narangarav Dugarsuren was funded by the EJMD MEDFOR (Erasmus +) The APC was funded by Universidad de Valladolid trough COMFOR-SUDOE funds., Peer reviewed

Stars with short orbital periods at the center of our Galaxy offer a powerful probe of a supermassive black hole. Over the past 17 years, the W. M. Keck Observatory has been used to image the galactic center at the highest angular resolution possible today. By adding to this data set and advancing methodologies, we have detected S0-102, a star orbiting our Galaxy's supermassive black hole with a period of just 11.5 years. S0-102 doubles the number of known stars with full phase coverage and periods of less than 20 years. It thereby provides the opportunity, with future measurements, to resolve degeneracies in the parameters describing the central gravitational potential and to test Einstein's theory of general relativity in an unexplored regime. Copyright © 2012, American Association for the Advancement of Science, We thank the staff of the Keck Observatory for all their help in ob-
taining the new observations. Support for this work was provided by NSF grant AST
10
0909218, the Levine-Leichtman Family Foundation, and the W. M. Keck Foundation.
RS acknowledges support by the Ram`on y Cajal programme, by grants AYA2010-17631,
AYA2009-13036, and PA1002584 of the Spanish Ministerio de Econom´ıa y Competitivi-
dad, and by grant P08-TIC-4075 of the Junta de Andaluc´ıa. The W. M. Keck Observatory
is operated as a scientific partnership among the California Institute of Technology, the
University of California and the National Aeronautics and Space Administration. The
Observatory was made possible by the generous financial support of the W. M. Keck
Foundation. The authors wish to recognize and acknowledge the very significant cultural
role and reverence that the summit of Mauna Kea has always had within the indigenous
Hawaiian community. We are most fortunate to have the opportunity to conduct observa-
tions from this mountain. The data described in the paper are presented in the Supporting
Online Material., Peer reviewed

Different species of Dama-like deer usually included in the genus Pseudodama, occurred in the European Plio-Pleistocene. In this paper, the medium-sized cervid sample from the Cal Guardiola Section (NE Iberian Peninsula) is described. It exhibits notable similarities with other records referred to Pseudodama vallonnetensis from various late Early Pleistocene European sites, thus confirming the abundance of this taxon in the faunal associations of this period. Here, we review the spatial and temporal distribution of P. vallonnetensis in Europe and, in a broader framework, also the succession of Dama-like deer species during the entire Pleistocene, analyzing variations in body size and possible relationships between these and palaeoenvironmental conditions., Generalitat de Catalunya; European Commission; Alexander von Humboldt Foundation; Next Generation EU, Peer reviewed

Slates play a key role in understanding the seismic anisotropy of the continental crust, a crucial aspect of
geophysical interpretation. Using a comprehensive set of high-quality single-foliated chlorite-bearing roofing
slates, we determined their typical seismic properties via mineral fractions and orientation distribution functions
using the geometric mean averaging method. Our study focused on identifying an optimal transverse isotropy
(polar) model, assess correlations between elastic constants, and explore the feasibility of predicting intrinsic
maximum anisotropy from a single proxy. We demonstrate that maximum axial and polarization anisotropy in
single-foliated slates can be accurately estimated with ~10 % error using a single proxy, termed the S-norm,
which integrates the ODF strength and volumetric fraction of phyllosilicates. Additionally, we found that a polar
parameterization combining elastic tensor decomposition and the Anderson equations yields seismic anisotropy
predictions similar to the Christoffel equation, with errors below 2.8 % (better than 0.2 % for Vp anisotropy).
Lastly, our findings suggest that it is feasible to estimate the seismic properties of transversely isotropic slates
from only two elastic measurements: a diagonal component and the non-diagonal C13 component. These models
are applicable for investigating slate belts at various depths, enabling the calculation of the minimum expected
seismic anisotropy from intrinsic properties., This work was supported by the Government of the Principality of Asturias, the European Union (Marie-Curie COFUND) and the Foundation for the Promotion of Applied Scientific Research and Technology in Asturias (FICYT) (Spain) (Grant numbers: SV-PA-21-AYUD/2021/57163, PA-18-ACB17-11) under the “Plan de Ciencia, Tecnología e Innovación 2018–2022” of Asturias (PCTI-Asturias).

In this paper Small Punch Tests (SPT) are used to determine the mechanical properties of the heat affected zone (HAZ) of CrMoV welded joints and to evaluate the embrittlement caused by the presence of internal hydrogen. Hydrogen permeation tests were carried out to determine the effective diffusion coefficients of the different regions of welded joints, whose hydrogen contents were measured using a hydrogen analyser.

The paper demonstrates that SPTs can be used to estimate the tensile properties and the toughness of small areas, such as the subzones of a welded joint which are not thick enough for machining standard specimens. In cases where it is not possible to determine the fracture toughness of brittle regions using standard SPT samples, tests using longitudinally notched SPT samples were conducted. The normalized energy at failure,
, was selected as the most appropriate SPT parameter to estimate the fracture toughness regardless of the fracture behaviour of the material (ductile or brittle). It was seen that the fracture toughness of the fine grained HAZ (FG-HAZ) is similar to that of the Base Metal (BM), while the fracture toughness of the coarse grained HAZ (CG-HAZ) is more similar to that of the Weld Metal (WM). The effect of hydrogen on BM and FG-HAZ is low, with embrittlement indexes of about 20%. However, a strong effect of hydrogen was observed in CG-HAZs and WMs, with embrittlement indexes of 60–80%. and a clear change from ductile to brittle behaviour in their fracture surfaces., The authors would like to acknowledge the Spanish Ministry of Economy and Competitiveness and the Principality of Asturias government for the financing support given to the RTI2018-096070-B-C31 and IDI/2018/000134 projects, respectively. G. Álvarez (PA-20-PF-BP19-087) and A. Zafra (PA-18-PF-BP17-038) would also thank the Principality of Asturias for the financial support through the Severo Ochoa Scholarship Programme. Finally, the authors thank the Scientific and Technical Service, University of Oviedo, for the use of the SEM JEOL-JSM5600 scanning electron microscope.

BACKGROUND
Cellular metabolism regulates stemness in health and disease. A reduced redox state is essential for self-renewal of normal and cancer stem cells (CSCs). However, while stem cells rely on glycolysis, different CSCs, including pancreatic CSCs, favor mitochondrial metabolism as their dominant energy-producing pathway. This suggests that powerful antioxidant networks must be in place to detoxify mitochondrial reactive oxygen species (ROS) and maintain stemness in oxidative CSCs. Since glutathione metabolism is critical for normal stem cell function and CSCs from breast, liver and gastric cancer show increased glutathione content, we hypothesized that pancreatic CSCs also rely on this pathway for ROS detoxification. AIM To investigate the role of glutathione metabolism in pancreatic CSCs.
METHODS
Primary pancreatic cancer cells of patient-derived xenografts (PDXs) were cultured in adherent or CSC-enriching sphere conditions to determine the role of glutathione metabolism in stemness. Real-time polymerase chain reaction (PCR) was used to validate RNAseq results involving glutathione metabolism genes in adherent vs spheres, as well as the expression of pluripotency-related genes following treatment. Public TCGA and GTEx RNAseq data from pancreatic cancer vs normal tissue samples were analyzed using the webserver GEPIA2. The glutathione-sensitive fluorescent probe monochlorobimane was used to determine glutathione content by fluorimetry or flow cytometry. Pharmacological inhibitors of glutathione synthesis and recycling [buthionine-sulfoximine (BSO) and 6-Aminonicotinamide (6-AN), respectively] were used to investigate the impact of glutathione depletion on CSC-enriched cultures. Staining with propidium iodide (cell cycle), Annexin-V (apoptosis) and CD133 (CSC content) were determined by flow cytometry. Self-renewal was assessed by sphere formation assay and response to gemcitabine treatment was used as a readout for chemoresistance.
RESULTS
Analysis of our previously published RNAseq dataset E-MTAB-3808 revealed up-regulation of genes involved in the KEGG (Kyoto Encyclopedia of Genes and Genomes) Pathway Glutathione Metabolism in CSC-enriched cultures compared to their differentiated counterparts. Consistently, in pancreatic cancer patient samples the expression of most of these up-regulated genes positively correlated with a stemness signature defined by NANOG, KLF4, SOX2 and OCT4 expression (P < 10-5). Moreover, 3 of the upregulated genes (MGST1, GPX8, GCCT) were associated with reduced disease-free survival in patients [Hazard ratio (HR) 2.2-2.5; P = 0.03-0.0054], suggesting a critical role for this pathway in pancreatic cancer progression. CSC-enriched sphere cultures also showed increased expression of different glutathione metabolism-related genes, as well as enhanced glutathione content in its reduced form (GSH). Glutathione depletion with BSO induced cell cycle arrest and apoptosis in spheres, and diminished the expression of stemness genes. Moreover, treatment with either BSO or the glutathione recycling inhibitor 6-AN inhibited self-renewal and the expression of the CSC marker CD133. GSH content in spheres positively correlated with intrinsic resistance to gemcitabine treatment in different PDXs r = 0.96, P = 5.8 × 1011). Additionally, CD133+ cells accumulated GSH in response to gemcitabine, which was abrogated by BSO treatment (P < 0.05). Combined treatment with BSO and gemcitabine-induced apoptosis in CD133+ cells to levels comparable to CD133- cells and significantly diminished self-renewal (P < 0.05), suggesting that chemoresistance of CSCs is partially dependent on GSH metabolism.
CONCLUSION
Our data suggest that pancreatic CSCs depend on glutathione metabolism. Pharmacological targeting of this pathway showed that high GSH content is essential to maintain CSC functionality in terms of self-renewal and chemoresistance.

C[C4H4], the simplest compound of the [4]‐pyramidane family, has so far eluded experimental characterization, although several of its analogs, E[C4(SiMe3)4] in which the E apex atom is a tetrel group element, have been successfully prepared. The non‐classical bonding mode of E, similar to that found in propellanes, has prompted a considerable number of theoretical studies to unravel the nature of the apex‐base interaction. Here, we contribute to this knowledge by analyzing the electron localization function (ELF) and classical QTAIM descriptors; as well the statistical distribution of electrons in atomic regions by means of the so‐called electron distribution functions (EDFs), calculation of multicenter indices (MCI) as aromaticity descriptors and by performing orbital invariant energy decompositions with the interacting quantum atoms (IQA) approach on a series of E[C4(SiMe3)4] compounds. We find that the bonding evolves from covalent to electrostatic as E changes from C to Pb, with an anomaly when E=Si, which is shown to be the most charged moiety, compatible with an aromatic [C4(SiMe3)4]2− scaffold in the pyramidane base.

Virtual reality (VR) is increasingly applied in neurological assessment, yet little is known about whether user experience factors, such as cybersickness and sense of presence, relate differently to VR task performance depending on the presence of neurological symptoms. This study tested 58 patients with Post-COVID-19 condition (PCC) symptoms and 54 control individuals (non-PCC group) on a VR-based spatial memory task. The Simulator Sickness Questionnaire (SSQ) and the Igroup Presence Questionnaire (IPQ) were used to assess cybersickness and sense of presence, respectively. Multiple linear regressions, adjusted for age and sex, showed that the PCC group reported significantly higher SSQ scores across all subscales. In contrast, both groups showed similar IPQ responses and task performance (i.e., number of correct responses, number of attempts, and execution time). Moderated regression models, adjusted for the same covariates, showed that cybersickness did not predict task execution time in either group. However, in the PCC group, higher sense of presence ratings predicted faster task completion, an effect not observed in the non-PCC group. Considering covariate effects, age consistently predicted slower performance. In addition, female sex emerged as a significant covariate specifically for sense of presence, with women reporting higher scores than men. Overall, the results indicate that PCC is associated with increased VR-induced cybersickness, while a heightened sense of presence may facilitate motor and cognitive processing during task performance, particularly in individuals with neurological conditions. Further experimental studies are needed to investigate how variations in presence levels influence performance in VR-based cognitive tasks.

The activation of N–H bonds is a fundamental step in the synthesis of industrially relevant compounds but remains a challenging process. A promising strategy to address it, introduced by Milstein and co-workers, relies on metal–ligand cooperation, in which N–H activation is coupled with an aromatization–dearomatization process of a pincer ligand. In this work, we employ state-of-the-art theoretical methods grounded in quantum chemical topology (QCT) to gain deeper insights into this process. Using the archetypal PNP–Ru(II) complex reported by Milstein (JACS 2010, 132, 8542), we analyze the electron density rearrangements during N–H activation through the electron localization function and bonding evolution theory. Interacting quantum atoms energy decomposition is further applied to quantify interactions between key groups. The study covers substrates from ammonia to primary amines, revealing that hydrogen transfer occurs as a quasi-protonic species, yielding a Ru–amido complex. The mechanism remains consistent across substrates, with electron-withdrawing groups facilitating the process by stabilizing the NH–R interaction. Additionally, modifying the ligand scaffold with electron-donating substituents enhances charge accumulation at the reactive carbon, improving both kinetics and thermodynamics. Overall, our findings highlight QCT as a powerful framework for guiding the rational design of improved systems.

Current global change scenarios demand knowledge on how anthropogenic impacts affect ecosystem functioning through changes in food web structure. Frugivorous mesocarnivores are a key link in trophic cascades because, while their abundance and behaviour are usually controlled by apex predators, they can provide high-quality seed-dispersal services to plant communities. Thus, the recent rewilding of large carnivores worldwide can trigger cascading effects for plants. We investigated the top-down effects of an apex predator (Iberian lynx Lynx pardinus) on seed-dispersal services mediated by two mesocarnivore species (red fox Vulpes vulpes and stone marten Martes foina) at the plant community level by comparing areas with and without lynx in a Mediterranean mountain range in Southern Spain. We collected scats of mesocarnivores (n = 1575) to assess frugivory and seed dispersal of 15 plant species over two consecutive fruiting seasons and two habitat types (open and forest). Specifically, we assessed the effect of lynx presence on (i) seed occurrence and fleshy-fruit biomass per scat, (ii) number of scats containing seeds and (iii) diversity of dispersed seeds. The quantity and diversity of dispersed seeds drastically decreased under predation risk for both mesocarnivore's species. Seed dispersal by stone martens was negatively affected by the presence of lynx, with a marked reduction in the number of scats with seeds (93%) and the diversity of dispersed seeds (46%). Foxes dispersed 68% fewer seeds in open habitats when coexisting with lynx, probably leading to differential contributions to seed-dispersal effectiveness among habitats. Our study reveals a novel trophic cascade from apex predators to plant communities. The behavioural responses of frugivorous mesocarnivores to predation risk and the reduction in the intensity of their faecal deposition pattern are probably related to their lower abundance when co-occurring with apex predators. While rewilding apex predators is a successful conservation tool, attention should be paid to cascading effects across food webs, particularly where frugivore megafauna is missing and mesocarnivores provide unique services to plants.

Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents the first known benchmarking effort of person identity verification using facial video data. The evaluation involves 18 systems submitted by seven academic institutes., The work of NPoh is supported by the advanced researcher fellowship PA0022121477of the Swiss NSF; NPoh, CHC and JK by the EU-funded Mobio project grant IST-214324; NPC and HF by the EPSRC grants EP/D056942 and EP/D054818; VS andNP by the Slovenian national research program P2-0250(C) Metrology and Biomet-ric System, the COST Action 2101 and FP7-217762 HIDE; and, AAS by the Dutch BRICKS/BSIK project.

The time-resolved X-ray diffraction synchrotron radiation technique was used in combination with E-field microwave heating to study in situ the kinetics of intermetallic phase formation in the Ti-Al system. The reaction of Ti with Al is triggered by the melting and spreading of Al onto the surface of Ti particles. The tetragonal TiAl 3 phase is the primary reaction product, formed by instantaneous nucleation at the interface between the unreacted Ti cores and the Al melt. The growth of TiAl 3 layers is diffusion-controlled. These preliminary results demonstrate that microwave heating can be used to rapidly synthesise intermetallic phases from high-purity elemental powders. © 2010 Elsevier B.V. All rights reserved., This work has been supported by the Swiss National Science Foundation (Grant 20PA21E-129193).

[EN] This study developed an integrated diagnostic system for tebuthiuron-induced soil ecotoxicity based on morphophysiological indicators of Mucuna pruriens, using the germination index (GI) of Lactuca sativa as a sensitive
ecotoxicological validation endpoint. The experiment was conducted under greenhouse conditions using a
completely randomized design with 12 treatments and 360 individual pots (independent samples evaluated via
destructive sampling), which were distributed across five evaluation periods at 14, 28, 42, 56, and 70 days after
sowing. Morphophysiological variables, including plant height, root length, shoot and root dry mass, chlorophyll
content, nodule number, and visual phytotoxicity, were quantified and integrated with multivariate and probabilistic modeling approaches. Given the multifactorial nature of the germination index, Principal Component
Analysis (PCA) was applied to identify ecological and physiological gradients associated with plant vigor, stress,
and symbiotic functioning. The PCA outputs were subsequently used as inputs for Probabilistic Neural Networks
(PNNs), enabling the classification and prediction of bioindicator-based ecotoxicological levels using mathematically defined low, medium, and high GI classes. Model performance was internally assessed using training
and validation datasets, confusion matrices, overall accuracy, sensitivity, specificity, and ROC curves. Because no
independent external dataset was available, the predictive performance should be interpreted as evidence of
internal consistency rather than definitive generalizability across different soils, climates, herbicide doses, or
field conditions. Multivariate analyses revealed that ecotoxicological attenuation trajectories in tebuthiuroncontaminated soils are inherently nonlinear, being structured by coordinated shifts in morphophysiological
traits rather than isolated responses of individual variables. The integrated PCA¿PNN framework demonstrated
that aboveground traits. Particularly plant height, chlorophyll content, and shoot dry mass, were more sensitive
indicators of tebuthiuron-induced stress than root traits alone. Higher GI values were associated with PCA regions characterized by increased shoot biomass, greater plant height, reduced phytotoxicity, and improved
physiological performance, whereas lower GI classes corresponded to suppressed growth and multidimensional
stress signatures. The progressive convergence between plant vigor and GI across evaluation periods suggests a
gradual mitigation of ecotoxicological stress signals on the indicator plants, indicating transitions from acute
injury to physiological adaptation states. These findings confirm that M. pruriens functions as an effective bioindicator for diagnosing soil ecotoxicological status and monitoring tebuthiuron-induced impacts. However, as
tebuthiuron residues were not chemically quantified, these responses should not be interpreted as direct evidence
of herbicide degradation, dissipation, or removal. These findings confirm that M. pruriens functions as an
effective bioindicator for diagnosing soil ecotoxicological status and monitoring tebuthiuron-induced impacts.
However, as tebuthiuron residues were not chemically quantified, the observed improvements should be
interpreted as evidence of physiological adaptation and/or ecological attenuation rather than definitive proof of
herbicide degradation or removal., This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES-Brazil, Financing Code: 001), the Sao Paulo Research Foundation (FAPESP-Brazil, 2021/01884-6), the National Council for Scientific and Technological Development (CNPqBrazil, 313530/2021-1 and 302567/2025-9), and the Agrisus Foundation (Brazil, PA 3740/24).

An alternative approach for microwave calorimetry is proposed which relies on the synchrotron radiation powder diffraction technique as well as on the Grüneisen formalism for the analysis of thermal expansion. Cobalt was selected as suitable magnetic material for the present evaluation of the method. First results are reported concerning the calorimetric assessment of the HCP (hexagonal close-packed) to FCC (face centered cubic) transition of cobalt from in situ time-resolved X-ray diffraction experiments performed during magnetic (H-field) microwave heating. The X-ray calorimetry method yields specific heat capacity estimations that compare well with results from conventional differential scanning calorimetry measurements. In the presence of the 2.45 GHz microwave H-field, an 'anomalous' behaviour of the heat capacity across the structural phase transition is detected, which can be correlated with the magnetic spin reorientation transition of cobalt in the same temperature range. © 2011 Elsevier B.V. All rights reserved., We kindly acknowledge the help of Fabia Gozzo, Antonio Cervellino and the team at the MS X04SA beamline at the Swiss Light Source. This work was jointly supported by the Swiss National Science Foundation (SNSF) and by the German Science Foundation (DFG), Project "Calorimetry of phase transitions in ultrafast conventional and electromagnetic heating", SNSF Grant 20PA21-129123 and DFG Grant SCHI331/21-1.

[ES] En la siguiente investigación se ha llevado a cabo una cartografía entre 2014 y 2023 sobre la evolución de los frentes y superficies de los campos dunares correspondientes a Xagó, Verdicio, Rodiles (N Asturias) con el fin de observar el avance o retroceso en cada uno de los sectores. Para ello se han consultado las direcciones y los datos máximos y mínimos de oleajes, además de la supervisión de las rosas de oleajes y vientos proporcionada por Puertos del Estado en la boya de Cabo de Peña. También se han mirado los máximos y mínimos de mareas en el mareógrafo de Gijón. Se ha realizado la cartografía de los arenales usando las ortofotos históricas y actuales, y datos tomados en una salida de campo con un GPS en abril de 2023. Con todo ello, se puede avanzar que se está produciendo una progradación significativa en todos los campos dunares estudiados, de modo que, esto puede estar condicionado por la entrada paulatina de sedimentos retirados durante temporales pasados, además de acordonamientos puntuales en algunos sistemas.

[EN] Navigational object-location memory (OLM) is a form of spatial memory involving actual or virtual body displacement for repositioning previously encoded objects within an environment. Despite its potential for higher ecological validity measures, navigational OLM has been less frequently assessed than static OLM. The present systematic review aims to characterize the methodology and devices used for OLM assessment in navigational real and virtual environments and synthesize recent literature to offer a comprehensive overview of OLM performance in both pathological and non-pathological adult samples. A search through four different databases was conducted, identifying 39 studies. Most studies assessed navigational OLM in healthy adults by 2-dimensional or 3-dimensional computerized tasks, although immersive Virtual Reality (VR) devices were also frequently employed. Small environments and objects with high-semantic value were predominantly used, with assessment mainly conducted immediately after learning through free-recall tasks. The findings revealed that healthy samples outperformed clinical ones in navigational OLM. Men showed superior performance compared to women when cues or landmarks were used, but this advantage disappeared in their absence. Better results were also noted with shorter intervals between learning and recall. Fewer OLM errors occurred in real environments compared to both immersive and non-immersive VR. Influences of environmental features, object semantics, and participant characteristics on OLM performance were also observed. These results highlight the need for standardized methodologies, the inclusion of a broader age range in populations, and careful control over the devices, environments, and objects used in navigational OLM assessments., Gobierno de Aragon (Departamento de Ciencia, Universidad y Sociedad del Conocimiento) for group S31_23R; Conselleria d'Innovacio, Universitats, Ciencia i Societat Digital de la Generalitat Valenciana [GVA-COVID19/2021/025] . The contribution of TL has been supported by the Programa "Severo Ochoa" de la Consejeria de Ciencia, Empresas, Formacion y Empleo (ref. PA-23-BP22-005) .

[EN] TensorFlow (TF) is usually combined with the Horovod (HVD) workload distribution package to obtain a parallel tool to train deep neural network on clusters of computers. HVD in turn utilizes a blocking Allreduce primitive to share information among processes, combined with a communication thread to overlap communication with computation. In this work, we perform a thorough experimental analysis to expose (1) the importance of selecting the best algorithm in MPI libraries to realize the Allreduce operation; and (2) the performance acceleration that can be attained when replacing a blocking Allreduce with its non-blocking counterpart (while maintaining the blocking behaviour via the appropriate synchronization mechanism). Furthermore, (3) we explore the benefits of applying pipelining to the communication exchange, demonstrating that these improvements carry over to distributed training via TF+HVD. Finally, (4) we show that pipelining can also boost performance for applications that make heavy use of other collectives, such as Broadcast and Reduce-Scatter., Project TIN2017-82972-R of the Spanish Ministerio de Ciencia, Innovacion y Universidades. Agencia Valenciana de la Innovacion. Juan de la Cierva-Formacion project FJC2019-039222-I of the Ministerio de Ciencia, Innovacion y Universidades PRACE Preparatory Access project #2010PA5531.

[EN] Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realize facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents an evaluation of person identity verification using facial video data, organized in conjunction with the International Conference on Biometrics (ICB 2009). It involves 18 systems submitted by seven academic institutes. These systems provide for a diverse set of assumptions, including feature representation and preprocessing variations, allowing us to assess the effect of adverse conditions, usage of quality information, query selection, and template construction for video-to-video face authentication., Manuscript received September 30, 2009; revised August 18, 2010; accepted August 23, 2010. Date of publication September 20, 2010; date of current version November 17, 2010. The work of N. Poh was supported by the Advanced Researcher Fellowship PA0022 121477 of the Swiss NSF. The work of N. Poh, C. H. Chan, and J. Kittler was supported by the EU-funded Mobio project grant IST-214324. The work of N. Costen and H. Fang was supported by the EPSRC Grant EP/D056942 and Grant EP/D054818. The work of N. Pavesic and V. Struc was supported by the Slovenian National Research Program P2-0250(C) Metrology and Biometric System, the COST Action 2101 and FP7-217762 HIDE. The work of E. A. Rua was supported by the Spanish Project TEC2008-05894. The work of M. Villegas and R. Paredes was supported by the Spanish MEC/MICINN under the MIPRCV "Consolider Ingenio 2010" program (CSD2007-00018). The work of A. A. Salah was supported by the Dutch BRICKS/BSIK project. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Patrick J. Flynn. N. Poh, C. H. Chan, and J. Kittler are with the Centre for Vision, Speech and Signal Processing (CVSSP), School of Electronics and Physical Sciences, University of Surrey, Guildford, GU2 7XH, Surrey, U. K. (e-mail: n.poh@surrey.ac.uk; normanpoh@ieee.com).

A partir de los datos dendrométricos (diámetro y alturas), medidos en el año 2014 en dos parcelas permanentes de superficie una ha situadas en el Llano de San Marugán (Valladolid) y en Valdepoza (Palencia). Todos los árboles se georreferenciaron y se identifico su especie (Pinus sylvestris, Pinus nigra, Pinus pinea, Quercus pyrenaica, Quercus ilex, Quercus faginea y Juniperus thurifera). A partir de estos, se calcularon diez índices de diversidad que se clasifican en tres categorías (índices de riqueza de especies, índices de composición/mezcla de especies e índices de estructura), Based on dendrometric data (diameter and heights), measured in 2014 in two permanent plots of one ha located in Llano de San Marugán (Valladolid) and in Valdepoza (Palencia). All trees were georeferenced and their species identified (Pinus sylvestris, Pinus nigra, Pinus pinea, Quercus pyrenaica, Quercus ilex, Quercus faginea and Juniperus thurifera). From these, ten diversity indices were calculated and classified into three categories (species richness indices, species composition/mixture indices and structural indices)., Departamento de Producción Vegetal y Recursos Forestales, Universidad de Valladolid, Ministerio de Ciencia PCIN-2017-027. Mixed species forest management. Lowering risk, increasing resilience, REFORM: REsilience of FORest Mixtures, Fondo Europeo de Desarrollo Regional: SOE4/PA/E1012 COMFOR-SUDOE: Integrated and intelligent management of complex forests and mixed-species plantations in Southwest Europe.