BUSCADOR RECOLECTA

The synthesis of BN-containing molecules, which have an interesting isosteric relationship to their parent all-C cores, has drawn a great deal of attention as an avenue to alter and tune molecular function. Nevertheless, many cores with embedded BN are still hard to synthesize, and thus, further effort is required in this direction. Herein, we present an integrated approach to BN-containing polycycles rooted in an exceptionally clean B-N condensation of amines with a tri-allylborane. Having released propene as the only byproduct, the resulting BN precursors are seamlessly telescoped into BN-containing polycyclic cores via a set of additional methodologies, either developed here ad-hoc or applied for the first time for the synthesis of BN-cycles. As the "sharpening stone" of the process, BN-embedded naphthalene, which has previously only been obtained in low yield, can now be synthesized efficiently through propenolysis, ring-closing metathesis and a new high-yielding aromatization. As a more advanced application, an analogously obtained BN-containing bis-enyne is readily converted to BN-containing non-aromatic tetra-, penta- and hexacyclic structures via ring-closing enyne metathesis, followed by the Diels-Alder cycloaddition. The resulting air-sensitive structures are easily handled by preventive hydration (quaternization) of their B-N bridge; reverting this hydration restores the original Bsp2-Nsp2 structure. In the future, these structures may pave the way to BN-anthracenes and other π-extended BN-arenes., This work was supported through MICINN grants (PID2020-113661GB-I00 and PDC2023-145801-I00) and AGAUR (2021 SGR 00520). We thank CSIC for the JAE-Intro scholarship to V. M. and the Generalitat de Cataluña (AGAUR) for the Investigo contract to G. S.-L. (2023 INV-2 00014G1). We thank Sonia Pérez from the «Josep Carilla» Thermal Analysis and Calorimetry service at IQAC for conducting thermogravimetric analyses used in this work., Peer reviewed

Photoswitchable molecules exhibit light-dependent biological activity which allow us to control the therapeutic effect of drugs with high precision. Such molecules could solve some of the limitations of anticancer drugs by providing a localised effect in the tumour. Histone deacetylase inhibitors (HDACis) constitute a promising drug class for oncology whose application is often limited by a lack of selectivity. Herein, we developed photoswitchable HDACis based on a hemithioindigo scaffold. We established synthetic routes to access them and determined the optimal conditions for isomerisation and their thermal stability. We then optimised their enzyme activity through three rounds of re-design to identify examples that are up to 6-fold more active under illumination than in the dark. We also confirmed that our best derivative reduces the viability of HeLa cells only under illumination. All in all, we disclose a series of derivatives containing a hemithioindigo moiety, which display a light-dependent effect on both HDAC inhibition and cancer cell viability., L.J.-C. has received funding from the European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie Grant Agreement 841089 and from grant IJC2020-043482-I funded by MICIU/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR. C.A.R. received funding from a fellowship of the CSIC JAE Intro 2021 program (JAEINT21_EX_ 1165). A.L. received funding from Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación 10.13039/501100011033 and ERDF A way of making Europe (Projects I + D + i CTQ2017-89222-R and PID2020-120499RB-I00), and the Catalan government (2021 SGR 00508). The authors thank Lourdes Muñoz from SimChem (IQAC-CSIC) and Yolanda Pérez from the NMR service for analytical and instrumental support., Peer reviewed

Table S1: List of DVGs detected with at least five reads when identified by only one algorithm or detected by both ViReMa-a and DI-tector; Table S2: Common DVGs identified in all samples., Peer reviewed

Excel file including: 1st excel sheet: weight losses (%) during the processing of dry-fermented sausages. 2nd excel sheet: physico-chemical data (pH, aw, moisture (%), protein (%), colour parameters (L*, a*, B*), TBARS (mg/kg dry matter) and microbial data (Mesophilic bacteria (log cfu/g), LAB(log cfu/g), Gram + cocci (log cfu/g), Yeast & Mold (log cfu/g), volatile compounds data in abundance units (10-6/g dm) and texture parameters (Hardness (N), Springiness, Cohesiveness, Chewiness) of analyzed samples. 3rd excel sheet: Sensory analysis by free choice profile (FCP)., The manufacture of dry-fermented analogues needs to be carefully designed as ingredients, microbial cultures and processes may affect the organoleptic characteristics. Thus, hybrid plant-based products where animal ingredients are partially replaced by plant-based ingredients can meet sustainability and nutritional interests, although their sensory characteristics may be affected. Therefore, it is essential to determine the effect of these partial replacement on the quality of dry-fermented hybrid sausages. For this, three different sausage formulations were manufactured under equal fermentation conditions: a control formulation containing 100 % animal ingredients (EC), and two hybrid formulations replacing half of animal batter by texturized pea protein and coconut oil (EG50) and one supplemented with oat flour (EG50A). Physico-chemical parameters, microbial counts by plate count, volatile profile by SPME GC–MS, texture by texture profile and sensory properties by quantitative descriptive analysis were determined. Replacement of animal ingredients resulted in lower protein content, faster drying rate and pH decline produced by higher lactic acid bacteria counts, which affected Gram-positive cocci survival and volatile profile. Also, oat flour addition interfered with fermentation, accelerating pH decrease. The presence of ketones and acid compounds derived from vegetal ingredients in hybrid sausages, as well as long chain esters produced during drying, affected the final aroma increasing cocoa, nutty, cereal-legume, rancid and cheesy odors. Aroma and texture differences in dry-fermented hybrid analogues were due to microbial activity, batter structure and to the low proteolysis of the texturized pea, revealed by the lowest abundance of compounds derived from amino acid catabolism., Financial support from MCIU/AEI/10.13039/501100011033 (Grants PID2021–122581OB-100 and CEX2021–001189-S to IATA-CSIC as a Severo Ochoa Center of Excellence, and PRE2022–103747 to S. Garcia-Solivelles) from Spain and “European Regional Development Fund (ERDF): A Way To Make Europe” is acknowledged., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001189-S), Peer reviewed

No

Supporting Table S1: Percentage of inhibition of hatching of embryonated eggs of Heligmosomoides polygyrus and IC50 of aqueous and ethanolic extracts. Table S2: Percentage of inhibition of L1 larvae of Heligmosomoides polygyrus and IC50 of aqueous and ethanolic extracts of L. kerstingii and F. thonningii. Table S3: Percentage of inhibition of L2 larvae of Heligmosomoides polygyrus and IC50 of aqueous and ethanolic extracts of L. kerstingii and F. thonningii. Table S4: Percentage of inhibition of L2 larvae of Heligmosomoides polygyrus and IC50 of aqueous and ethanolic extracts of L. kerstingii and F. thonningii., Peer reviewed

Table S1: KpTDp1 and KpTDp2 genome analysis and protein prediction., Peer reviewed

We use an xgboost regression to produce a catalogue of stellar properties derived from Gaia DR3 XP spectra, astrometry, and multi-wavelength photometry. This catalogue, referred to as SHBoost, comprises the extinction, effective temperature, surface gravity, [M/H], and mass estimates for more than 217 million stars., With Gaia Data Release 3 (DR3), new and improved astrometric, photometric, and spectroscopic measurements for 1.8 billion stars have become available. Alongside this wealth of new data, however, there are challenges in finding efficient and accurate computational methods for their analysis. In this paper, we explore the feasibility of using machine learning regression as a method of extracting basic stellar parameters and line-of-sight extinctions from spectro-photometric data. To this end, we built a stable gradient-boosted random-forest regressor (xgboost), trained on spectroscopic data, capable of producing output parameters with reliable uncertainties from Gaia DR3 data (most notably the low-resolution XP spectra), without ground-based spectroscopic observations. Using Shapley additive explanations, we interpret how the predictions for each star are influenced by each data feature. For the training and testing of the network, we used high-quality parameters obtained from the StarHorse code for a sample of around eight million stars observed by major spectroscopic stellar surveys, complemented by curated samples of hot stars, very metal-poor stars, white dwarfs, and hot sub-dwarfs. The training data cover the whole sky, all Galactic components, and almost the full magnitude range of the Gaia DR3 XP sample of more than 217 million objects that also have reported parallaxes. We have achieved median uncertainties of 0.20 mag in V-band extinction, 0.01 dex in logarithmic effective temperature, 0.20 dex in surface gravity, 0.18 dex in metallicity, and 12% in mass (over the full Gaia DR3 XP sample, with considerable variations in precision as a function of magnitude and stellar type). We succeeded in predicting competitive results based on Gaia DR3 XP spectra compared to classical isochrone or spectral-energy distribution fitting methods we employed in earlier works, especially for parameters AV and Teff, along with the metallicity values. Finally, we showcase some potential applications of this new catalogue, including extinction maps, metallicity trends in the Milky Way, and extended maps of young massive stars, metal-poor stars, and metal-rich stars., Peer reviewed

Siudek, Malgorzata et al., This value-added catalog contains physical properties of DESI EDR galaxies derived with CIGALE (v.22.1; Boquien et al. 2019A&A...622A.103B, Cat. J/A+A/622/A103) accounting for AGN contribution. To generate the grid of models we use a delayed star formation history (SFH) model with an optional exponential burst and Bruzal & Charlot (2003MNRAS.344.1000B) single stellar population models assuming Chabrier (2003ApJ...586L.133C) initial mass function and solar metallicity. We also include the standard nebular emission model from Inoue et al. ( 2011MNRAS.418.2527I ) and model dust attenuation using Calzetti et al. (2000ApJ...533..682C) attenuation curve. The reprocessed dust emission is modeled adopting the dust emission models of Dale et al. (2014ApJ...784...83D). The AGN emission is modeled using the models from Fritz et al. (2006MNRAS.366..767F) . CIGALE simultaneously fits the AGN and galaxy component using all the available photometry (g, r, z, W1, W2, W3 and W4) and returns estimates of the main galaxy properties such as stellar mass, star formation rate, and the relative contribution of the dusty torus of the AGN to the total IR luminosity - the AGN fraction using a Bayesian-like analysis. We note that incorporating AGN models does not exclude a scenario where the galaxy does not host an AGN (or its emission is negligible). In such cases, the AGN fraction is close to 0 (AGNfrac<0.1). The quality of the fit is expressed by the reduced chi2, the estimates and errors of physical properties are the likelihood-weighted means and standard deviations of the probability distribution function, respectively (Boquien et al., 2019A&A...622A.103B, Cat. J/A+A/622/A103). The cosmology assumed is WMAP7. The catalog accounts for 1,286,124 of DESI EDR galaxies., Peer reviewed

We present the 6 transit light curves of HD 15337 (TIC 120896927, TOI-402) obtained by CHEOPS: the reduced raw data and the detrended curves. The reduced original data can be obtained from DACE and the CHEOPS public archive., The HD 15337 (TIC 120896927, TOI-402) system was observed by the Transiting Exoplanet Survey Satellite (TESS), revealing the presence of two short-period planets situated on opposite sides of the radius gap. This offers an excellent opportunity to study theories of formation and evolution, as well as to investigate internal composition and atmospheric evaporation. We aim to constrain the internal structure and composition of two short-period planets situated on opposite sides of the radius valley: HD 15337 b and c. We use new transit photometry and radial velocity data. We acquired 6 new transit visits with the CHaracterising ExOPlanet Satellite (CHEOPS) and 32 new radial velocity measurements from the High Accuracy Radial Velocity Planet Searcher (HARPS) to improve the accuracy of the mass and radius estimates for both planets. We re-analysed the light curves from TESS sectors 3 and 4 and analysed new data from sector 30, correcting for long-term stellar activity. Subsequently, we performed a joint fit of the TESS and CHEOPS light curves, along with all available RV data from HARPS and the Planet Finder Spectrograph (PFS). Our model fit the planetary signals, stellar activity signal, and instrumental decorrelation model for the CHEOPS data simultaneously. The stellar activity was modelled using a Gaussian-process regression on both the RV and activity indicators. Finally, we employed a Bayesian retrieval code to determine the internal composition and structure of the planets. We derived updated and highly precise parameters for the HD 15337 system. Our improved precision on the planetary parameters makes HD 15337 b one of the most precisely characterised rocky exoplanets, with radius and mass measurements achieving a precision better than 2% and 7%, respectively. We were able to improve the precision of the radius measurement of HD 15337 c to 3%. Our results imply that the composition of HD 15337 b is predominantly rocky, while HD 15337 c exhibits a gas envelope with a mass of at least 0.01 M⊕. Our results lay the groundwork for future studies, which can further unravel the atmospheric evolution of these exoplanets and offer new insights into their composition and formation history as well as the causes behind the radius gap., Peer reviewed