Now showing items 2349-2368 of 9932

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      Deciphering the roles of triiodothyronine (T3) and thyroid stimulating hormone (TSH) on cardiac electrical remodeling in clinical and experimental hypothyroidism 

      Casis Sáenz, Oscar ORCID; Echeazarra, Leyre; Sáenz Díez, Beatriz; Gallego Muñoz, Mónica ORCID (Springer, 2024-02)
      Hypothyroidism is the most frequent endocrine pathology. Although clinical or overt hypothyroidism has been traditionally associated to low T3 / T4 and high thyrotropin (TSH) circulating levels, other forms exist such as ...
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      Decision-making framework for positive energy building design through key performance indicators relating geometry, localization, energy and PV system integration 

      Barrutieta Basurko, Xabier ORCID; Kolbaniskova, A; Irulegi Garmendia, María Olatz ORCID; Hernández Minguillón, Rufino Javier ORCID (Elsevier, 2023-08-10)
      The effectiveness of positive energy building (PEB) design largely depends on a balanced approach between building design and energy performance. The current common architectural process is lacking guidelines to address ...
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      Declinaciones de la reacción eclesiástica contra la Revolución francesa en España (1789-1808) 

      Artola Renedo, Andoni; Calvo Maturana, Antonio (CSIC, 2017)
      El objetivo de este trabajo es estudiar la respuesta de la Iglesia a la amenaza planteada por la Revolución francesa. Con tal fin, se utilizarán fuentes impresas y documentos de la época que nos permitirán conocer las ...
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      Decline in fertility induced by economic recession in Spain 

      Puig Barrachina, Vanessa; Rodríguez Sanz, Maica; Domínguez Berjón, María Felicitas; Martín Roncero, Unai ORCID; Luque Fernández, Miguel Ángel; Ruiz, Miguel; Perez, Glòria (2019-10)
      OBJECTIVE: To describe trends in fertility in Spain before (pre-recession; 1998-2008) and during (recession period; 2009-2013) the economic crisis of 2008, taking into account women's age and regional unemployment in ...
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      ¿El declive del significado social de la música? 

      Del Amo Castro, Ion Andoni ORCID; Letamendia Onzain, Arkaitz ORCID; Diaux González, Jason (Centro de Estudos Sociais, 2016-05)
      ¿Nos encontramos ante un declive del significado social de la música? Por un lado las innovaciones tecnológicas, especialmente la digitalización, modifican las formas sociales de acceso a la música, con un progresivo aumento ...
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      Decontamination of Ti Oxide Surfaces by Using Ultraviolet Light: Hg-Vapor vs. LED-Based Irradiation 

      Arroyo Lamas, Nagore; Ugalde Olea, Unai ORCID; Arteagoitia Calvo, María Iciar ORCID (MDPI, 2020-10-22)
      C-range Ultraviolet (UVC) mercury (Hg)-vapor lamps have shown the successful decontamination of hydrocarbons and antimicrobial effects from titanium surfaces. This study focused on surface chemistry modifications of titanium ...
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      Decoupled Ion Mobility in Nano-Confined Ionic Plastic Crystal 

      Zhu, Haijin; Grzelak, Aleksandra; Yunis, Ruhamah; Martín Pérez, Jaime ORCID; Forsyth, Maria (Royal Society Of Chemistry, 2020-12-01)
      Nanoconfined ions have dramatically different local environments compared to the bulk, which profoundly affects the ion solvation and transport properties taking place in the confined space. Herein, we investigate the ...
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      Decoupling the heat loss coefficient of an in-use office building into its transmission and infiltration heat loss coefficients 

      Uriarte Pérez de Nanclares, Irati; Ercoreca González, Aitor; Legorburu, Asier; Martín Escudero, Koldobika ORCID; Giraldo Soto, Catalina ORCID; Odriozola Maritorena, Moisés ORCID (Elsevier, 2021-11)
      [EN]The actual building energy performance essentially depends on the building occupant's behaviour, the real performance of the installed energy systems and the in-use performance of the building envelope. The thermal ...
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      Decreased expression of the β2 integrin on tumor cells is associated with a reduction in liver metastasis of colorectal cancer in mice 

      Benedicto García, Aitor; Márquez Clavijo, Joana ORCID; Herrero, Alba; Olaso Montero, Elvira; Kolaczkowska, Elzbieta; Arteta Ruiz, Beatriz ORCID (Biomed Central, 2017-12-06)
      Background: Lymphocyte Function-Associated Antigen-1 (LFA-1; CD18/CD11a) is one of the main adhesion molecules used by immune cells to infiltrate the liver under inflammatory conditions. Recently, the expression of this ...
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      Decreased salivary lactoferrin levels are specific to Alzheimer's disease 

      González Sánchez, Marta; Bartolomé, Fernando; Antequera, Desirée; Puertas Martín, Verónica; González, Pilar; Gómez Grande, Adolfo; Llamas Velasco, Sara; Herrero San Martín, Alejandro; Pérez Martínez, David; Villarejo Galende, Alberto; Atienza, Mercedes; Palomar Bonete, Miriam; Cantero, José Luis; Perry, George; Orive Arroyo, Gorka; Ibáñez, Borja; Bueno, Héctor; Fuster, Valentín; Carro, Eva (Elsevier, 2020-07)
      Background: Evidences of infectious pathogens in Alzheimer's disease (AD) brains may suggest a deteriorated innate immune system in AD pathophysiology. We previously demonstrated reduced salivary lactoferrin (Lf) levels, ...
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      Decreased Striatal Adenosine A(2A)-Dopamine D(2)Receptor Heteromerization in Schizophrenia 

      Valle León, Marta; Callado Hernando, Luis Felipe ORCID; Aso, Ester; Cajiao Manrique, María del Mar; Sahlholm, Kristoffer; López Cano, Marc; Soler, Concepcio; Altafaj, Xavier; Watanabe, Masahiko; Ferre, Sergi; Fernández Dueñas, Víctor; Menchón, José Manuel; Ciruela, Francisco (Springer Nature, 2020-10-03)
      According to the adenosine hypothesis of schizophrenia, the classically associated hyperdopaminergic state may be secondary to a loss of function of the adenosinergic system. Such a hypoadenosinergic state might either be ...
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      Deep learning based deep-sea automatic image enhancement and animal species classification 

      López Vázquez, Vanesa ORCID; López Guede, José Manuel; Chatzievangelou, Damianos; Aguzzi, Jacopo (Springer, 2023-03)
      The automatic classification of marine species based on images is a challenging task for which multiple solutions have been increasingly provided in the past two decades. Oceans are complex ecosystems, difficult to access, ...
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      Deep learning based domain adaptation for mitochondria segmentation on EM volumes. 

      Franco Barranco, Daniel; Pastor Tronch, Julio; González Marfil, Aitor; Muñoz Barrutia, Arrate; Arganda Carreras, Ignacio (Elsevier, 2022-07)
      [EN] BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods ...
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      Deep learning based face beauty prediction via dynamic robust losses and ensemble regression 

      Bougourzi, Fares; Dornaika, Fadi; Taleb-Ahmed, Abdelmalik (Elsevier, 2022-04-22)
      In the last decade, several studies have shown that facial attractiveness can be learned by machines. In this paper, we address Facial Beauty Prediction from static images. The paper contains three main contributions. ...
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      Deep learning for near-infrared spectral data modelling: Hypes and benefits 

      Mishra, Puneet; Passos, Dário; Marini, Federico; Xu, Junli; Amigo Rubio, José Manuel ORCID; Gowen, Aoife A.; Jansen, Jeroen J.; Biancolillo, Alessandra; Roger, Jean Michel; Rutledge, Douglas N.; Nordon, Alison (Elsevier, 2022-12)
      Deep learning (DL) is emerging as a new tool to model spectral data acquired in analytical experiments. Although applications are flourishing, there is also much interest currently observed in the scientific community on ...
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      Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions 

      Muhammad, Khan; Ullah, Amin; Lloret, Jaime; Del Ser Lorente, Javier ORCID; C. de Albuquerque, Victor Hugo (IEEE, 2021-07)
      Advances in information and signal processing technologies have a significant impact on autonomous driving (AD), improving driving safety while minimizing the efforts of human drivers with the help of advanced artificial ...
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      Deep learning for understanding multilabel imbalanced Chest X-ray datasets 

      Liz, Helena; Huertas Tato, Javier; Sánchez Montañés, Manuel; Del Ser Lorente, Javier ORCID; Camacho, David (Elsevier, 2023-07)
      Over the last few years, convolutional neural networks (CNNs) have dominated the field of computer vision thanks to their ability to extract features and their outstanding performance in classification problems, for example ...
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      Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval 

      Alirezazadeh, Pendar; Dornaika, Fadi; Moujahid, Abdelmalik ORCID (MDPI, 2022-03-30)
      Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due to some problems, such as a large number of clothing categories, different appearances ...
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      Deep Learning-Based Feature Extraction of Acoustic Emission Signals for Monitoring Wear of Grinding Wheels 

      González, David; Alvarez, J.; Sánchez Galíndez, José Antonio ORCID; Godino Fernández, Leire; Pombo Rodilla, Iñigo (MDPI, 2022-09-13)
      Tool wear monitoring is a critical issue in advanced manufacturing systems. In the search for sensing devices that can provide information about the grinding process, Acoustic Emission (AE) appears to be a promising ...
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      Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest 

      Elola Artano, Andoni; Aramendi Ecenarro, Elisabete; Irusta Zarandona, Unai; Picón Ruiz, Artzai ORCID; Alonso González, Erik ORCID; Owens, Pamela; Idris, Ahamed (MDPI, 2019-03-21)
      The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal ...