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Investigamos cómo hispanohablantes con inglés como segunda lengua (L2) procesan ambigüedades sintácticas. Según el enfoque Good enough speaker, durante el proceso de lectura las ambigüedades pueden permanecer sin resolverse, manteniendo múltiples interpretaciones posibles (Ferreira 2002). Diseñamos un experimento de lectura autoadministrada de cuadrado latino mixto 2x3, con dos condiciones experimentales: (1) ambigüedad sintáctica, condición intrasujetos (ambigua, desambiguada N1, desambiguada N2) y (2) preguntas de comprensión, condición intersujetos (cláusula relativa y superficial). Además, agregamos una tarea Flanker para medir control cognitivo. El análisis incorporó regresiones lineales con efectos mixtos. Los resultados del estudio muestran que los sujetos requieren un mayor tiempo de reacción al procesar la condición ambigua en N1 en comparación con N2. Además, se observó que la precisión en la tarea de Flanker está asociada a mayores tiempos de reacción en la lectura. Estos resultados sugieren que un mayor control cognitivo se asocia con tiempos de lectura más largos, indicando una compensación entre velocidad y precisión en el procesamiento de L2.

A versatile nature of polyurethanes allows for the modification of thermal, mechanical, and chemical properties, making them promising candidates for medical applications. This study focuses on the synthesis, characterization, and biocompatibility evaluation of a novel poly (L-co-D,L-co-lactic acid-co-Caprolactone)urethane (PLDLA-PCL-PU) material derived from L-lactide, D,L-lactide, polycaprolactone-diol (PCL-diol) and 1,6-hexamethylene diisocyanate (HDI). This research performs a meticulous two-stage synthesis process, ultimately leading to the formation of PLDLA-PCL-PU through polymerization of the prepolymer (PP) and HDI. The confirmation of successful synthesis and the characterization of PLDLA-PCL-PU was done by FTIR-ATR, and 1H NMR. As evidenced by XRD, the amorphous nature of PLDLA reduces the degree of crystallinity in PLDLA-PCL-PU. Thermal decompositions, as well as the associated thermal events, were investigated using TGA and DSC. The biocompatibility of the material was evaluated using human mesenchymal stem cells. These assays reveal a notable enhancement in cell metabolic activity and proliferation when in contact with polyurethane membranes. By combining the properties of polyurethanes with the custom design of PLDLA-PCL-PU, this research strives to contribute with the advancement of biomaterials that promote tissue regeneration.

The Performance Index (P-Index) is a measure for evaluating mobility-related dual-task performance in older adults. The identification of specific clinicodemographic factors predictive of P-Index scores, however, remains unclear. This cross-sectional study analyzed data from 120 community-dwelling older adults (average age 71.3 ± 11.23 years) to explore clinicodemographic variables that influence P-Index scores during the instrumented timed up and go test. Unadjusted analyses suggested several factors, including age, gender, body mass index, Mini-Mental Status Examination scores, functional reach test performance, history of falls, ethnicity, Geriatric Depression Scale scores, alcohol consumption, and educational levels, as potential predictors of P-Index. However, adjusted multinomial multiple regression analysis revealed Geriatric Depression Scale and Mini-Mental Status Examination scores as the exclusive independent predictors of P-Index classifications, segmented into high, intermediate, or low (percentiles ≤ 25, 26–74, or ≥ 75, respectively). A significant association was observed between the manifestation of depressive symptoms, lower Mini-Mental Status Examination scores, and reduced cognitive–motor performance. The findings implicate depressive symptoms and low cognitive performance as substantial impediments to optimal dual-task mobility within this cohort. Further studies are warranted to examine the efficacy of cognitive stimulation and antidepressant therapy, in augmenting mobility-related dual-task performance among older adults. [ABSTRACT FROM AUTHOR]

Abstract Glioblastoma (GBM) continues to exhibit a discouraging survival rate despite extensive research into new treatments. One factor contributing to its poor prognosis is the tumor's immunosuppressive microenvironment, in which the kynurenine pathway (KP) plays a significant role. This study aimed to explore how KP impacts the survival of newly diagnosed GBM patients. We examined tissue samples from 108 GBM patients to assess the expression levels of key KP markers—tryptophan 2,3-dioxygenase (TDO2), indoleamine 2,3-dioxygenase (IDO1/2), and the aryl hydrocarbon receptor (AhR). Using immunohistochemistry and QuPath software, three tumor cores were analyzed per patient to evaluate KP marker expression. Kaplan–Meier survival analysis and stepwise multivariate Cox regression were used to determine the effect of these markers on patient survival. Results showed that patients with high expression of TDO2, IDO1/2, and AhR had significantly shorter survival times. This finding held true even when controlling for other known prognostic variables, with a hazard ratio of 3.393 for IDO1, 2.775 for IDO2, 1.891 for TDO2, and 1.902 for AhR. We suggest that KP markers could serve as useful tools for patient stratification, potentially guiding future immunomodulating trials and personalized treatment approaches for GBM patients.

Abstract The complex morphology of neurons requires precise control of their microtubule cytoskeleton. This is achieved by microtubule-associated proteins (MAPs) that regulate the assembly and stability of microtubules, and transport of molecules and vesicles along them. While many of these MAPs function in all cells, some are specifically or predominantly involved in regulating microtubules in neurons. Here we use the sea anemone Nematostella vectensis as a model organism to provide new insights into the early evolution of neural microtubule regulation. As a cnidarian, Nematostella belongs to an outgroup to all bilaterians and thus occupies an informative phylogenetic position for reconstructing the evolution of nervous system development. We identified an ortholog of the microtubule-binding protein doublecortin-like kinase (NvDclk1) as a gene that is predominantly expressed in neurons and cnidocytes (stinging cells), two classes of cells belonging to the neural lineage in cnidarians. A transgenic NvDclk1 reporter line revealed an elaborate network of neurite-like processes emerging from cnidocytes in the tentacles and the body column. A transgene expressing NvDclk1 under the control of the NvDclk1 promoter suggests that NvDclk1 localizes to microtubules and therefore likely functions as a microtubule-binding protein. Further, we generated a mutant for NvDclk1 using CRISPR/Cas9 and show that the mutants fail to generate mature cnidocytes. Our results support the hypothesis that the elaboration of programs for microtubule regulation occurred early in the evolution of nervous systems.

Vaccinations against COVID-19 are of the utmost importance in long-term care facilities. During the pandemic, mental health issues increased significantly. This cross-sectional analysis aimed to assess the associations of depression and anxiety with health literacy in people in need of care and the association of depression and burnout with vaccination readiness against COVID-19 in health care workers (HCWs). Within our cross-sectional study, people in need of care were assessed for symptoms of depression (PHQ-9), anxiety (GAD-7), and health literacy (HLS-EU-Q16). Among HCWs, we assessed symptoms of depression (PHQ-9) and burnout (MBI-HSS), as well as psychological antecedents of vaccination (5C) to measure vaccination readiness against COVID-19. A multivariate regression analysis was performed. Symptoms of a major depression were significantly associated with reduced health literacy (p = 0.010) in people in need of care. Among HCWs, symptoms of depression and burnout reduced vaccination readiness against COVID-19 significantly. In particular, collective responsibility was reduced in HCWs suffering from burnout symptoms (p = 0.001). People in need of care and their HCWs could benefit from intensified target group-specific vaccination counseling. Additionally, more attention should be paid to the protection of mental health in long-term care facilities.

Ziel dieser quantitativen Studie ist es, die Korrelation zwischen den L2-Lernstrategien von Deutschlernenden und der Beherrschung der Nebensatzsyntax bei deutschen Verben festzustellen. Zur Messung der Lernstrategien wurde die Version 7 des Oxford SILL (Oxford, 2003) verwendet. Die Forced-Choice-Tests von Catasso (2004) wurden verwendet, um die Kenntnisse der Nebensatzsyntax zu beurteilen. Die Probanden an dieser Studie waren 55 Schüler einer deutschen Schule Chiles. Die mit R durchgeführte Analyse zeigt, dass die am häufigsten verwendete Lernstrategie die Kompensationsstrategien waren. Die Daten zeigten, dass keine statistisch signifikante positive Korrelation zwischen häufiger Lernstrategieanwendung und besserer Beherrschung der Verbstellung besteht. Es besteht jedoch eine statistisch signifikante negative Korrelation zwischen dem Einsatz metakognitiver Strategien und der Beherrschung der Nebensatzsyntax bei männlichen Lernenden. Die persönlichen Variablen beim Sprachenlernen könnten positive Auswirkungen haben. In Zukunft wäre es sinnvoll, diese Art von Korrelationsstudien auf andere Aspekte des deutschen Spracherwerbs wie die Deklination auszuweiten.

Der zweitägige Workshop „Data Stewardship goes Germany“ wurde 2022 von der FDM-AG der TU9 organisiert mit der primären Zielgruppe Data Stewards1. Bei dem Workshop stand nicht nur die Informationsvermittlung durch Vorträge, sondern vor allem die interaktive Arbeit und die Vernetzung der Teilnehmenden im Vordergrund. Neben den zwei Keynotes von der TU Delft und der Aalto University zu Data Stewardship-Konzepten gab es Beiträge zu den beiden Themenblöcken „Aufbau von FDM-Dienstleistungen” und „Technische Tools”. Die Interaktion und Vernetzung wurden durch Raum für Gespräche an Postern und in Pausen sowie durch die Barcamp-Methode gefördert. Auffällig war, dass Data Stewards sich oft als Einzelkämpfer:innen fühlen und viele Strukturen und Überlegungen parallel entwickelt und getätigt werden. Eine Nachnutzung bestehender Strukturen und Dienste ist aktuell noch wenig etabliert und vor allem auch wenig bekannt. Der Workshop stellt einen wichtigen Beitrag dar, um solche Lücken zu schließen und Awareness zur Nachnutzung von FDM-Strukturen und-Diensten zu schaffen. Außerdem wurde deutlich, dass es in Deutschland noch kein einheitliches Verständnis von Data Stewardship gibt und dass eine Unterstützung und Förderung von Data Stewards stark von der Universität bzw. den außeruniversitären Einrichtungen abhängt. Eine Vernetzung über verschiedene Einrichtungen fand bisher kaum statt, so dass der Workshop ein wichtiger Schritt in diese Richtung ist.

In order to develop a discipline-specific data management plan (DMP) template, it is important to obtain information from researchers. For a chemistry-specific template, NFDI4Chem conducted a series of interviews with 27 participants and used data from the RDA WG Discipline-specific Guidance for DMP online survey. The interviews showed that the implementation of research data management in everyday work is a big challenge. Key findings from the interview series highlight challenges in implementing FAIR principles, with a focus on “Findability” and “Reusability.” The importance of linking physical samples and data in chemistry is emphasised, with discussions on storage, archiving, and the use of tools like electronic lab notebooks and repositories. However, documentation methods, software tools, and naming conventions commonly used in chemical research are also addressed. Overall, the study underscores the need for improved resources and strategies to enhance data management practices in the field of chemistry. All the gathered information and examples will be used to develop a DMP template in line with chemistry-specific requirements. The results provide a comprehensive outlook on the future developments of research data management (RDM) in chemistry.

We describe new ultradeep James Webb Space Telescope (JWST) NIRSpec PRISM and grating spectra for the galaxies JADES-GS-z11-0 ( ${z}_{\mathrm{spec}}={11.122}_{-0.003}^{+0.005}$ ) and JADES-GS-z13-0 ( ${z}_{\mathrm{spec}}={13.20}_{-0.04}^{+0.03}$ ), the most distant spectroscopically confirmed galaxy discovered in the first year of JWST observations. The extraordinary depth of these observations (75 hr and 56 hr, respectively) provides a unique opportunity to explore the redshifts, stellar properties, UV magnitudes, and slopes for these two sources. For JADES-GS-z11-0, we find evidence for multiple emission lines, including [O ii ] λ λ 3726, 3729 and [Ne iii ] λ 3869, resulting in a spectroscopic redshift we determine with 94% confidence. We present stringent upper limits on the emission-line fluxes and line equivalent widths for JADES-GS-z13-0. At this spectroscopic redshift, the Ly α break in JADES-GS-z11-0 can be fit with a damped Ly α absorber with $\mathrm{log}({N}_{\mathrm{HI}}/{\mathrm{cm}}^{-2})={22.42}_{-0.120}^{+0.093}$ . These results demonstrate how neutral hydrogen fraction and Lyman-damping wings may impact the recovery of spectroscopic redshifts for sources like these, providing insight into the overprediction of the photometric redshifts seen for distant galaxies observed with JWST. In addition, we analyze updated NIRCam photometry to calculate the morphological properties of these resolved sources, and find a secondary source 0.″3 south of JADES-GS-z11-0 at a similar photometric redshift, hinting at how galaxies grow through interactions in the early Universe.

We present the robust selection of high-redshift quiescent galaxies (QG) and poststarburst (PSB) galaxies using ultra-deep NIRCam and MIRI imaging from the JWST Advanced Deep Extragalactic Survey (JADES). At 3 < z < 6, MIRI 7.7 μ m imaging provides rest-frame J band, which is commonly used to break the degeneracy between old stellar populations and dust attenuation at lower redshifts. We identify 23 passively evolving galaxies in UVJ color space in a mass-limited (log M _⋆ / M _⊙ ≥ 8.5) sample over 8.8 arcmin ^2 . An evaluation of the contribution of the 7.7 μ m shows that JADES-like NIRCam coverage (9+ photometric bands) can compensate for lacking the J band at these redshifts; however, more limited three-band selections perform better with MIRI. Our sample is characterized by rapid quenching timescales (∼100–600 Myr) with formation redshifts z _f ≲ 9 and includes a potential record-holding massive QG at ${z}_{\mathrm{phot}}={5.33}_{-0.17}^{+0.16}$ and two QGs with evidence for significant residual dust content ( A _V ∼ 1–2). In addition, we present a large sample of 12 log M _⋆ / M _⊙ = 8.5–9.5 PSBs, demonstrating that UVJ selection can be extended to low mass. An analysis of the environment of our sample reveals that the group known as the Cosmic Rose contains a massive QG and a dust-obscured star-forming galaxy (a so-called Jekyll and Hyde pair) plus three additional QGs within ∼20 kpc. Moreover, the Cosmic Rose is part of a larger overdensity at z ∼ 3.7, which contains 7/12 of our low-mass PSBs. Another four low-mass PSBs are members of an overdensity at z ∼ 3.4; this result strongly indicates low-mass PSBs are preferentially associated with overdense environments at z > 3.

We present a spatially resolved study of stellar populations in six galaxies with stellar masses M _* ∼ 10 ^10 M _☉ at z ∼ 3.7 using 14-filter James Webb Space Telescope (JWST)/NIRCam imaging from the JADES and JEMS surveys. The six galaxies are visually selected to have clumpy substructures with distinct colors over rest frame 3600−4100 Å, including a red, dominant stellar core that is close to their stellar-light centroids. With 23-filter photometry from the Hubble Space Telescope to JWST, we measure the stellar-population properties of individual structural components via spectral energy distribution fitting using Prospector . We find that the central stellar cores are ≳2 times more massive than the Toomre mass, indicating they may not form via single in situ fragmentation. The stellar cores have stellar ages of 0.4−0.7 Gyr that are similar to the timescale of clump inward migration due to dynamical friction, suggesting that they likely instead formed through the coalescence of giant stellar clumps. While they have not yet quenched, the six galaxies are below the star-forming main sequence by 0.2−0.7 dex. Within each galaxy, we find that the specific star formation rate is lower in the central stellar core, and the stellar-mass surface density of the core is already similar to quenched galaxies of the same masses and redshifts. Meanwhile, the stellar ages of the cores are either comparable to or younger than the extended, smooth parts of the galaxies. Our findings are consistent with model predictions of the gas-rich compaction scenario for the buildup of galaxies’ central regions at high redshifts. We are likely witnessing the coeval formation of dense central cores, along with the onset of galaxy-wide quenching at z > 3.

One of the more surprising findings after the first year of JWST observations is the large number of spatially extended galaxies (ultrared flattened objects, or UFOs) among the optically faint galaxy (OFG) population otherwise thought to be compact. Leveraging the depth and survey area of the JWST Advanced Deep Extragalactic Survey, we extend observations of the OFG population to an additional 112 objects, 56 of which are well-resolved in F444W with effective sizes, R _e > 0.″25, more than tripling previous UFO counts. These galaxies have redshifts around 2 < z < 4, high stellar masses ( $\mathrm{log}({M}_{* }/{M}_{\odot })\sim 10\mbox{--}11$ ), and star formation rates around ∼100–1000 M _⊙ yr ^−1 . Surprisingly, UFOs are red across their entire extents, which spatially resolved analysis of their stellar populations shows is due to large values of dust attenuation (typically A _V > 2 mag even at large radii). Morphologically, the majority of our UFO sample tends to have low Sérsic indices ( n ∼ 1) suggesting that these large, massive, OFGs have little contribution from a bulge in F444W. Further, a majority have axis ratios between 0.2 < q < 0.4, which Bayesian modeling suggests that their intrinsic shapes are consistent with being a mixture of inclined disks and prolate objects with little to no contribution from spheroids. While kinematic constraints will be needed to determine the true intrinsic shapes of UFOs, it is clear that an unexpected population of large, disky or prolate objects contributes significantly to the population of OFGs.

We characterize the earliest galaxy population in the JADES Origins Field, the deepest imaging field observed with JWST. We make use of ancillary Hubble Space Telescope optical images (five filters spanning 0.4–0.9 μ m) and novel JWST images with 14 filters spanning 0.8−5 μ m, including seven medium-band filters, and reaching total exposure times of up to 46 hr per filter. We combine all our data at >2.3 μ m to construct an ultradeep image, reaching as deep as ≈31.4 AB mag in the stack and 30.3–31.0 AB mag (5 σ , r = 0.″1 circular aperture) in individual filters. We measure photometric redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts z = 11.5−15. These objects show compact half-light radii of R _1/2 ∼ 50−200 pc, stellar masses of M _⋆ ∼ 10 ^7 −10 ^8 M _☉ , and star formation rates ∼ 0.1−1 M _☉ yr ^−1 . Our search finds no candidates at 15 < z < 20, placing upper limits at these redshifts. We develop a forward-modeling approach to infer the properties of the evolving luminosity function without binning in redshift or luminosity that marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the impact of nondetections. We find a z = 12 luminosity function in good agreement with prior results, and that the luminosity function normalization and UV luminosity density decline by a factor of ∼2.5 from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical models for evolution of the dark matter halo mass function.

Using deep JWST imaging from JADES, JEMS, and SMILES, we characterize optically faint and extremely red galaxies at z > 3 that were previously missing from galaxy census estimates. The data indicate the existence of abundant, dusty, and poststarburst-like galaxies down to 10 ^8 M _⊙ , below the sensitivity limit of Spitzer and the Atacama Large Millimeter/submillimeter Array (ALMA). Modeling the NIRCam and Hubble Space Telescope (HST) photometry of these red sources can result in extremely high values for both stellar mass and star formation rate (SFR); however, including seven MIRI filters out to 21 μ m results in decreased masses (median 0.6 dex for ${{\rm{log}}}_{10}({M}^{\ast }/{M}_{\odot })$ > 10) and SFRs (median 10× for SFR > 100 M _⊙ yr ^−1 ). At z > 6, our sample includes a high fraction of “little red dots” (LRDs; NIRCam-selected dust-reddened active galactic nucleus (AGN) candidates). We significantly measure older stellar populations in the LRDs out to rest-frame 3 μ m (the stellar bump) and rule out a dominant contribution from hot dust emission, a signature of AGN contamination to stellar population measurements. This allows us to measure their contribution to the cosmic census at z > 3, below the typical detection limits of ALMA ( L _IR < 10 ^12 L _⊙ ). We find that these sources, which are overwhelmingly missed by HST and ALMA, could effectively double the obscured fraction of the star formation rate density at 4 < z < 6 compared to some estimates, showing that prior to JWST, the obscured contribution from fainter sources could be underestimated. Finally, we identify five sources with evidence for Balmer breaks and high stellar masses at 5.5 < z < 7.7. While spectroscopy is required to determine their nature, we discuss possible measurement systematics to explore with future data.

We use SEDz* —a code designed to chart the star formation histories (SFHs) of 6 < z < 12 galaxies—to analyze the spectral energy distributions (SEDs) of 894 galaxies with deep JWST/NIRCam imaging by JADES in the GOODS-S field. We show how SEDz* matches observed SEDs using stellar-population templates, graphing the contribution of each epoch by epoch to confirm the robustness of the technique. Very good SED fits for most SFHs demonstrate the compatibility of the templates with stars in the first galaxies—as expected, because their light is primarily from main-sequence A stars, free of post-main-sequence complexity, and insensitive to heavy-element compositions. We confirm earlier results from Dressler et al. (1) There are four types of SFHs: SFH1, burst; SFH2, stochastic; SFH3, “contiguous” (three epochs), and SFH4, “continuous” (four to six epochs). (2) Starbursts—both single and multiple—are predominant (∼70%) in this critical period of cosmic history, although longer SFHs (0.5–1.0 Gyr) contribute one-third of the accumulated stellar mass. These 894 SFHs contribute 10 ^11.14 , 10 ^11.09 , 10 ^11.00 , and 10 ^10.60 M _⊙ for SFH1–4, respectively, adding up to ∼4 × 10 ^11 M _⊙ by z = 6 for this field. We suggest that the absence of rising SFHs could be explained as an intense dust-enshrouded phase of star formation lasting tens of Myr that preceded each of the SFHs we measure. We find no strong dependencies of SFH type with the large-scale environment; however, the discovery of a compact group of 30 galaxies, 11 of which had first star formation at z = 11–12, suggests that long SFHs could dominate in rare, dense environments.

We present a catalog of 717 candidate galaxies at z > 8 selected from 125 square arcmin of NIRCam imaging as part of the JWST Advanced Deep Extragalactic Survey (JADES). We combine the full JADES imaging data set with data from the JWST Extragalactic Medium Survey and First Reionization Epoch Spectroscopic COmplete Survey (FRESCO) along with extremely deep existing observations from Hubble Space Telescope (HST)/Advanced Camera for Surveys (ACS) for a final filter set that includes 15 JWST/NIRCam filters and five HST/ACS filters. The high-redshift galaxy candidates were selected from their estimated photometric redshifts calculated using a template-fitting approach, followed by visual inspection from seven independent reviewers. We explore these candidates in detail, highlighting interesting resolved or extended sources, sources with very red long-wavelength slopes, and our highest-redshift candidates, which extend to z _phot ∼ 18. Over 93% of the sources are newly identified from our deep JADES imaging, including 31 new galaxy candidates at z _phot > 12. We also investigate potential contamination by stellar objects, and do not find strong evidence from spectral energy distribution fitting that these faint high-redshift galaxy candidates are low-mass stars. Using 42 sources in our sample with measured spectroscopic redshifts from NIRSpec and FRESCO, we find excellent agreement to our photometric redshift estimates, with no catastrophic outliers and an average difference of 〈Δ z = z _phot − z _spec 〉 = 0.26. These sources comprise one of the most robust samples for probing the early buildup of galaxies within the first few hundred million years of the Universe’s history.

By combining the James Webb Space Telescope (JWST)/NIRCam JADES and CEERS extragalactic data sets, we have uncovered a sample of 21 T and Y brown dwarf candidates at best-fit distances between 0.1 and 4.2 kpc. These sources were selected by targeting the blue 1–2.5 μ m colors and red 3–4.5 μ m colors that arise from molecular absorption in the atmospheres of T _eff < 1300 K brown dwarfs. We fit these sources using multiple models of substellar atmospheres and present the resulting fluxes, sizes, effective temperatures, and other derived properties for the sample. If confirmed, these fits place the majority of the sources in the Milky Way thick disk and halo. We observe proper motions for seven of the candidate brown dwarfs, with directions in agreement with the plane of our Galaxy, providing evidence that they are not extragalactic in nature. We demonstrate how the colors of these sources differ from selected high-redshift galaxies, and explore the selection of these sources in planned large-area JWST NIRCam surveys. Deep imaging with JWST/NIRCam presents an an excellent opportunity for finding and understanding these ultracool dwarfs at kiloparsec distances.