Resultados totales (Incluyendo duplicados): 41943
Encontrada(s) 4195 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351624
Set de datos (Dataset). 2023

SUPPORTING INFORMATION: ENGINEERING OF THERMOELECTRIC COMPOSITES BASED ON SILVER SELENIDE IN AQUEOUS SOLUTION AND AMBIENT TEMPERATURE

  • Nan, Bingfei
  • Li, Mengyao
  • Zhang, Yu
  • Xiao, Ke
  • Lim, Khak Ho
  • Chang, Cheng
  • Han, Xu
  • Zuo, Yong
  • Li, Junshas
  • Arbiol, Jordi
  • Llorca, Jordi
  • Ibáñez, María
  • Cabot, Andreu
Experimental characterization details, additional SEM, XRD, EDX data, reproducibility results, heat capacities, calculation of the Lorenz number, and comparison with previous literature., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/351624
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351624
HANDLE: http://hdl.handle.net/10261/351624
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351624
PMID: http://hdl.handle.net/10261/351624
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351624
Ver en: http://hdl.handle.net/10261/351624
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351624

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351640
Set de datos (Dataset). 2023

GENERALISED LOTKA-VOLTERRA MODEL WITH HIERARCHICAL INTERACTIONS. SUPPLEMENTAL MATERIAL

  • Poley, Lyle
  • Baron, Joseph W.
  • Galla, Tobias
S1. Overview.-- S2. Relation Between fraction of predator-prey pairs and γ, assuming Gaussian distributed interactions.-- S3. Derivation of The effective Dynamics.-- S4. Derivation of Fixed point Eqs. (26).-- S5. Abundance Distributions.-- S6. Local Stability Analysis.-- S7. Verification of the criteria for stability using computer simulation.-- S8. Independence of results from n(α).-- S9. First extinction in the non-hierarchical limit., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/351640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351640
HANDLE: http://hdl.handle.net/10261/351640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351640
PMID: http://hdl.handle.net/10261/351640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351640
Ver en: http://hdl.handle.net/10261/351640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351640

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351776
Set de datos (Dataset). 2023

MOBILE HEALTH REQUIREMENTS FOR THE OCCUPATIONAL HEALTH ASSESSMENT OF HEALTH CARE PROFESSIONALS: DELPHI STUDY [DATASET]

  • Naranjo-Saucedo, Ana Belén
  • Escobar-Rodríguez, Germán Antonio
  • Tabernero, Carmen
  • Cuadrado, Esther
  • Parra-Calderón, Carlos Luis
  • Arenas, Alicia
Background: In recent years, owing to the COVID-19 pandemic, awareness of the high level of stress among health care professionals has increased, and research in this area has intensified. Hospital staff members have historically been known to work in an environment involving high emotional demands, time pressure, and workload. Furthermore, the pandemic has increased the strain experienced by health care professionals owing to the high number of people they need to manage and, on many occasions, the limited available resources with which they must carry out their functions. These psychosocial risks are not always well dealt with by the organization or the professionals themselves. Therefore, it is necessary to have tools to assess these psychosocial risks and to optimize the management of this demand from health care professionals. Digital health, and more specifically, mobile health (mHealth), is presented as a health care modality that can contribute greatly to respond to these unmet needs. Objective: We aimed to analyze whether mHealth tools can provide value for the study and management of psychosocial risks in health care professionals, and assess the requirements of these tools. Methods: A Delphi study was carried out to determine the opinions of experts on the relevance of using mHealth tools to evaluate physiological indicators and psychosocial factors in order to assess occupational health, and specifically, stress and burnout, in health care professionals. The study included 58 experts with knowledge and experience in occupational risk prevention, psychosocial work, and health-related technology, as well as health professionals from private and public sectors. Results: Our data suggested that there is still controversy about the roles that organizations play in occupational risk prevention in general and psychosocial risks in particular. An adequate assessment of the stress levels and psychosocial factors can help improve employees’ well-being. Moreover, making occupational health evaluations available to the team would positively affect employees by increasing their feelings of being taken into account by the organization. This assessment can be improved with mHealth tools that identify and quickly highlight the difficulties or problems that occur among staff and work teams. However, to achieve good adherence and participation in occupational health and safety evaluations, experts consider that it is essential to ensure the privacy of professionals and to develop feelings of being supported by their supervisors. Conclusions: For years, mHealth has been used mainly to propose intervention programs to improve occupational health. Our research highlights the usefulness of these tools for evaluating psychosocial risks in a preliminary and essential phase of approaches to improve the health and well-being of professionals in health care settings. The most urgent requirements these tools must meet are those aimed at protecting the confidentiality and privacy of measurements., This work has been carried out under the projects “mPRL: mHealth tool for prevention in psychosociology area” (reference: PII2019SC0009) and “Fipsipro: Mhealth en la Prevención de Riesgos Psicosociales” (reference: CTC-2022132186), both subsidized under Competitive Concurrence for Innovative Research Projects in the Field of Occupational Risk Prevention, corresponding to exercise 2019 of the Andalusian Institute of Occupational Risk Prevention of the Ministry of Employment, Training and Autonomous Work, as well as the project “SALPRO, Analysis of physiological indicators and psychosocial factors in occupational health of health professionals” (reference: PI-0098-2018), funded by the Consejería de Salud y Familia de la Junta de Andalucía Grant for the financing of Biomedical and Health Sciences R+D+i in Andalusia. We thank the project investigators and participating experts. We would especially like to thank Claudia Muñoz-Jiménez for her collaboration in elaborating the questionnaire sent to the experts and analyzing the results., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/351776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351776
HANDLE: http://hdl.handle.net/10261/351776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351776
PMID: http://hdl.handle.net/10261/351776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351776
Ver en: http://hdl.handle.net/10261/351776
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351776

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351777
Set de datos (Dataset). 2024

FIELDWORK NOTES, TAHL PROJECT

  • García Bengoechea, Pablo
[Description of methods used for collection/generation of data] Ethnographic data collected through participant observation and semi-structured interviews.-- [Methods for processing the data] Anthropological analysis of information collected., This work was supported by the European Union under Grant Number 892863-TAHL; The Wenner- Gren Foundation under Grant Number 9945. This publication is part of the project “HabitPAT. Caring and Dwelling Intangible Heritage” (PID2020-118696RB-I00) funded by MCIN/AEI/ 10.13039/ 501100011033., Peer reviewed

DOI: http://hdl.handle.net/10261/351777, https://doi.org/10.20350/digitalCSIC/16180
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351777
HANDLE: http://hdl.handle.net/10261/351777, https://doi.org/10.20350/digitalCSIC/16180
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351777
PMID: http://hdl.handle.net/10261/351777, https://doi.org/10.20350/digitalCSIC/16180
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351777
Ver en: http://hdl.handle.net/10261/351777, https://doi.org/10.20350/digitalCSIC/16180
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351777

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351822
Set de datos (Dataset). 2023

SUPPORTING INFORMATION FOR "MANY-BODY CONTRIBUTIONS IN WATER NANO-CLUSTERS"

  • Abella, David
  • Franzese, Giancarlo
  • Hernández-Rojas, Javier
Many-body interactions in water are known to be important but difficult to treat in atomistic models and often are included only as a correction. Polarizable models treat them explicitly, with long-range many-body potentials, within their classical approximation. However, their calculation is computationally expensive. Here, we evaluate how relevant the contributions to the many-body interaction associated with different coordination shells are. We calculate the global energy minimum, and the corresponding configuration, for nanoclusters of up to 20 water molecules. We find that including the first coordination shell, i.e., the five-body term of the central molecule, is enough to approximate within 5% the global energy minimum and its structure. We show that this result is valid for three different polarizable models, the Dang–Chang, the MB-pol, and the Kozack–Jordan potentials. This result suggests a strategy to develop many-body potentials for water that are reliable and, at the same time, computationally efficient., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/351822
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351822
HANDLE: http://hdl.handle.net/10261/351822
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351822
PMID: http://hdl.handle.net/10261/351822
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351822
Ver en: http://hdl.handle.net/10261/351822
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351822

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351834
Set de datos (Dataset). 2024

SUPPLEMENTAL DATA: ARABIDOPSIS FIBRILLIN6 INFLUENCES CAROTENOID BIOSYNTHESIS BY DIRECTLY PROMOTING PHYTOENE SYNTHASE ACTIVITY

  • Iglesias-Sanchez, Ariadna
  • Navarro-Carcelen, Juan
  • Morelli, Luca
  • Rodriguez-Concepcion, Manuel
Supplemental Figure S1. Characterization of 35S:FBN6-RFP lines.-- Supplemental Table S1. Primers used in this work.-- Supplemental Table S2. Phytoene levels in control and NFZ-treated N. benthamiana leaves agroinfiltrated with FBN6 and/or PSY constructs.-- Supplemental Table S3. Photosynthetic pigment levels in N. benthamiana leaves agroinfiltrated with FBN6, PSY, and/or crtB constructs.-- Supplemental Table S4. Photosynthetic pigment levels in etiolated and de-etiolating WT and fbn6 Arabidopsis seedlings.-- Supplemental Table S5. Photosynthetic pigment levels in WT and fbn6 Arabidopsis seedlings exposed to HL., Carotenoids are health-promoting plastidial isoprenoids with essential functions in plants as photoprotectants and photosynthetic pigments in chloroplasts. They also accumulate in specialized plastids named chromoplasts, providing color to non-photosynthetic tissues such as flower petals and ripe fruit. Carotenoid accumulation in chromoplasts requires specialized structures and proteins such as fibrillins (FBNs). The FBN family includes structural components of carotenoid sequestering structures in chromoplasts and members with metabolic roles in chloroplasts and other plastid types. However, the association of FBNs with carotenoids in plastids other than chromoplasts has remained unexplored. Here, we show that Arabidopsis (Arabidopsis thaliana) FBN6 interacts with phytoene synthase (PSY), the first enzyme of the carotenoid pathway. FBN6, but not FBN4 (a FBN that does not interact with PSY), enhances the activity of plant PSY (but not of the bacterial PSY crtB) in Escherichia coli cells. Overexpression of FBN6 in Nicotiana benthamiana leaves results in a higher production of phytoene, the product of PSY activity, whereas loss of FBN6 activity in Arabidopsis mutants dramatically reduces the production of carotenoids during seedling de-etiolation and after exposure to high light. Our work hence demonstrates that FBNs promote not only the accumulation of carotenoids in chromoplasts but also their biosynthesis in chloroplasts., This work was funded by grants from Spanish MCIN/AEI/10.13039/501100011033 and European NextGeneration EU/PRTR and PRIMA programs to M.R.-C. (PID2020-115810GB-I00 and UToPIQ-PCI2021-121941). M.R.-C. is also supported by Generalitat Valenciana (PROMETEU/2021/056 and AGROALNEXT/2022/067). Our group is a member of CaRed (Spanish Carotenoid Network) funded by MCIN/AEI (RED2022-134577-T). A.I.-S. and J.N.-C. received predoctoral fellowships from MCIN/AEI (PRE2018-083610 and PRE2021-098681, respectively)., Peer reviewed

DOI: http://hdl.handle.net/10261/351834
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351834
HANDLE: http://hdl.handle.net/10261/351834
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351834
PMID: http://hdl.handle.net/10261/351834
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351834
Ver en: http://hdl.handle.net/10261/351834
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351834

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351859
Set de datos (Dataset). 2014

DECAPODS ABUNDANCE, HABITAT, LANDSCAPE, AND GEOGRAPHICAL ATTRIBUTES IN THE NW MEDITERRANEAN POSIDONIA OCEANICA SEAGRASS MEADOWS [DATASET]

  • Baud, Marine
  • Macpherson, Enrique
  • Pérez-García, Marta
  • Romero, Javier
  • Ricart, Aurora M.
This dataset presents the decapod species and abundance, along with the habitat (detached seagrass leaves, fine fraction of detritus, detrital macroalgae, organic matter in sediments, seagrass shoot density and height of unburried rhizomes), landscape (landscape configuration) and geographical attributes (inlet aperture and confinement) in Posidonia oceanica seagrass meadows in 5 localities accross the NW Mediterranean sea. We found that geographical level attributes (i.e., inlet aperture, confinement) affected the most the decapod assemblages, while we only found a modest contribution from habitat (e.g., detritus biomass, sediment organic matter) and landscape attributes (e.g. fragmentation). We suggest that decapod assemblages are driven by the interaction of multiple processes occurring at different scales and other highly stochastic phenomena such as larval dispersion and recruitment, This study was supported financially by the Spanish government (projects CTM2010-22273-C02-01 and CTM2013-48027-C3-1-R). The Spanish government also supported AMR (scholarship BES-2011-046849), Table 1. Decapod species and number of total individuals of 5 randomly selected quadrat (40 cm x 40 cm) found in Aiguablava (Ag), Rustella (Ru), Giverola (Gi, Cativa (Ca) and Portlligat (Po) in continuous seagrass meadows of Posidonia oceanica (CO), patches in sand matrix (PS) and patches in rock matrix (PR). Table 2. Habitat attributes and geographical attributes of 5 randomly selected quadrat (40 cm x 40 cm) found in Aiguablava (Ag), Rustella (Ru), Giverola (Gi, Cativa (Ca) and Portlligat (Po) in continuous seagrass meadows of Posidonia oceanica (CO), patches in sand matrix (PS) and patches in rock matrix (PR), Peer reviewed

DOI: http://hdl.handle.net/10261/351859, https://doi.org/10.20350/digitalCSIC/16181
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351859
HANDLE: http://hdl.handle.net/10261/351859, https://doi.org/10.20350/digitalCSIC/16181
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351859
PMID: http://hdl.handle.net/10261/351859, https://doi.org/10.20350/digitalCSIC/16181
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351859
Ver en: http://hdl.handle.net/10261/351859, https://doi.org/10.20350/digitalCSIC/16181
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351859

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351860
Set de datos (Dataset). 2023

SUPPLEMENTARY INFORMATION ON ”NETWORK COEVOLUTION DRIVES SEGREGATION AND ENHANCES PARETO OPTIMAL EQUILIBRIUM SELECTION IN COORDINATION GAMES”

  • González Casado, Miguel A.
  • Sánchez, Ángel
  • San Miguel, Maxi
S1 Previous Results on Coordination Games.-- S2 Defrost of Frozen Configurations.-- S3 Probability Distributions: Size and Number of Fragments.-- S4 Fragmentation Transition in a General Coordination Game.-- S5 Evolution of the Transition Line (UI rule).-- S6 Cases ⟨k⟩ = 10, 20.--, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/351860
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351860
HANDLE: http://hdl.handle.net/10261/351860
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351860
PMID: http://hdl.handle.net/10261/351860
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351860
Ver en: http://hdl.handle.net/10261/351860
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351860

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351914
Set de datos (Dataset). 2023

SUPPLEMENTARY MATERIALS: MOMAST® REDUCES THE PLASMATIC LIPID PROFILE AND OXIDATIVE STRESS, AND REGULATES THE CHOLESTEROL METABOLISM IN HYPERCHOLESTEROLEMIC MOUSE MODEL: THE PROOF OF CONCEPT OF A SUSTAINABLE AND INNOVATIVE ANTIOXIDANT AND HYPOCHOLESTEROLEMIC INGREDIENT

  • Cruz-Chamorro, Iván
  • Santos-Sánchez, Guillermo
  • Ponce-España, Eduardo
  • Bollati, Carlotta
  • d’Adduzio, Lorenza
  • Bartolomei, Martina
  • Li, Jianqiang
  • Carrillo-Vico, Antonio
  • Lammi, Carmen
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)., MOMAST® is a patented natural phenolic complex, rich in tyrosol (9.0 g/kg, Tyr), hydroxityrosol (43,5 g/kg, OH-Tyr), and verbascoside (5.0 g/Kg), which is obtained from the OVW by-product of the Coratina cultivar with potent direct antioxidant activity (measured by DPPH and FRAP assays, respectively). Indeed, MOMAST® represents an innovative sustainable bioactive ingredient which has been obtained with ethical and empowering behavior by applying the principles of a circular economy. In the framework of research aimed at fostering its health-promoting activity, in this study it was clearly demonstrated that MOMAST® treatment reduced the oxidative stress and levels of total cholesterol (TC) and low-density lipoprotein (LDL) cholesterol, and increased the HDL levels, without changes in the triglyceride (TG) levels in Western diet (WD)-fed mice. The modulation of the plasmatic lipid profile is similar to red yeast rice (RYR) containing Monacolin K (3%). In addition, at the molecular level in liver homogenates, similarly to RYR, MOMAST® exerts cholesterol-lowering activity through the activation of LDL receptor, whereas, unlike RYR, MOMAST® reduces proprotein convertase subtilisin/kexin type 9 (PCSK9) protein levels via hepatic nuclear factor 1 (HNF1)-α activation. Hence, this study provides the proof of concept regarding the hypocholesterolemic activity of MOMAST, which could be successfully exploited as an active ingredient for the development of innovative and sustainable dietary supplements and functional foods., This research was funded by Bioenutra S.R.L. (Ginosa (TA) Italy) and Fundación de Investigación de la Universidad de Sevilla-FIUS (4588/0401). G.S.-S. was supported by a FPU grant from the Spanish Ministerio de Educación, Cultura y Deporte (FPU16/02339). E.P.-E. was supported by the VI Program of Inner Initiative for Research and Transfer of University of Seville (VI PPIT-US). I.C.-C. was supported by a postdoctoral fellowship from the Andalusian Government Ministry of Economy, Knowledge, Business, and University (DOC_00587/2020)., Peer reviewed

DOI: http://hdl.handle.net/10261/351914
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351914
HANDLE: http://hdl.handle.net/10261/351914
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351914
PMID: http://hdl.handle.net/10261/351914
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351914
Ver en: http://hdl.handle.net/10261/351914
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351914

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351945
Set de datos (Dataset). 2023

SUPPLEMENTAL MATERIAL. NICHE OVERLAP AND HOPFIELD-LIKE INTERACTIONS IN GENERALISED RANDOM LOTKA–VOLTERRA SYSTEMS

  • Rozas Garcia, Enrique
  • Crumpton, Mark J.
  • Galla, Tobias
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/351945
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351945
HANDLE: http://hdl.handle.net/10261/351945
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351945
PMID: http://hdl.handle.net/10261/351945
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351945
Ver en: http://hdl.handle.net/10261/351945
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/351945

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