Suchergebnisse

New trends of Machine learning models are able to nowcast power generation overtaking the formulation-based standards. In this work, the capabilities of deep learning to predict energy generation over three different areas and deployments in the world are discussed. To this end, transfer learning from deep learning models to nowcast output power generation in photovoltaic systems is analyzed. First, data from three photovoltaic systems in different regions of Spain, Italy and India are unified under a common segmentation stage. Next, pretrained and non-pretrained models are evaluated in the same and different regions to analyze the transfer of knowledge between different deployments and areas. The use of pretrained models provides encouraging results which can be optimized with rearward learning of local data, providing more accurate models. ; This contribution has been supported by the Cátedra ELAND for Renewable Energies of the University of Jaén, by the Spanish government by means of the project RTI2018-098979-A-I00. This work has been partially funded by "La Conselleria de Innovacién, Universidades, Ciencia y Sociedad Digital", under the project "Development of an architecture based on machine learning and data mining techniques for the prediction of indicators in the diagnosis and intervention of autism spectrum disorder. AICO/2020/117".

Due to the increasing incidence and high mortality associated with colorectal cancer (CRC), novel therapeutic strategies are urgently needed. Classic chemotherapy against CRC is based on oxaliplatin and other cisplatin analogues; however, platinum-based therapy lacks selectivity to cancer cells and leads to deleterious side effects. In addition, tumor resistance to oxaliplatin is related to chemotherapy failure. Gold(I) derivatives are a promising alternative to platinum complexes, since instead of interacting with DNA, they target proteins overexpressed on tumor cells, thus leading to less side effects than, but a comparable antitumor effect to, platinum derivatives. Moreover, given the huge potential of gold nanoparticles, the role of gold in CRC chemotherapy is not limited to gold(I) complexes. Gold nanoparticles have been found to be able to overcome multidrug resistance along with reduced side effects due to a more efficient uptake of classic drugs. Moreover, the use of gold nanoparticles has enhanced the effect of traditional therapies such as radiotherapy, photothermal therapy, or photodynamic therapy, and has displayed a potential role in diagnosis as a consequence of their optic properties. Herein, we have reviewed the most recent advances in the use of gold(I) derivatives and gold nanoparticles in CRC therapy. ; Authors thank Interreg-SUDOE (Redvalue SOE1/P1/E0123), Ministerio de Ciencia, Innovación y Universidades (CTQ2016-75816-C2-1-P and SAF2016-75441-R) and Aragón regional Government-DGA-(B16-17R and E07_17R, Fondos FEDER "otra manera de hacer Europa").

Given the rise of apoptosis-resistant tumors, there exist a growing interest in developing new drugs capable of inducing different types of cell death to reduce colorectal cancer-related death rates. As apoptosis and necroptosis do not share cellular machinery, necroptosis induction may have a great therapeutic potential on those apoptosis-resistant cancers, despite the inflammatory effects associated with it. We have synthesized an alkynyl gold(I) complex [Au(CC-2-NC5H4)(PTA)] whose anticancer effect was tested on the colorectal adenocarcinoma Caco-2 cell line. With regard to its mechanism of action, this gold complex enters the mitochondria and disrupts its normal function, leading to an increase in ROS production, which triggers necroptosis. Necroptosis induction has been found dependent of TNF-α (Tumor necrosisfactor α) and TNFR1(Tumor necrosisfactor receptor 1) binding, RIP1(Receptor-Interacting Protein 1) activation and NF-κB (Nuclear Factor Kappa-Light-Chain-Enhancer of Activated B Cells) signaling. Moreover, the antitumor potential of [Au(CC-2-NC5H4)(PTA)] has also been confirmed on the 3D cancer model spheroid. Overall, the obtained data show firstly that gold complexes might have the ability of inducing necroptosis, and secondarily that our compound [Au(CC-2-NC5H4)(PTA)] is an interesting alternative to current chemotherapy drugs in cases of apoptosis resistance. ; We thank The Ministerio de Economia y Competitividad (CTQ2016-75816-C2-1-P and SAF2016-75441-R) and DGA (A-32 and E104) for financial support. MVM acknowledges the Ministerio de Educación, Cultura y Deportes (FPU 12/05640) of the Spanish Government for financial support. ; Peer reviewed

Olive pomace (OP) is the main residue that results from olive oil production. OP is richin bioactive compounds, including polyphenols, so its use in the treatments of diseases related tooxidative stress, such as cancer, could be considered. The present work aimed to study the biologicalproperties of different OP extracts, obtained by ohmic heating-assisted extraction and conventionalheating, using water and 50% ethanol, in the treatment and prevention of colorectal cancer throughCaco-2 cell models. Additionally, an in-silico analysis was performed to identify the phenolic intestinalabsorption and Caco-2 permeability. The extracts were chemically characterized, and it was found thatthe Ohmic-hydroethanolic (OH-EtOH) extract had the highest antiproliferative effect, probably dueto its higher content of phenolic compounds. The OH-EtOH induced potential modifications in themitochondrial membrane and led to apoptosis by cell cycle arrest in the G1/S phases with activationof p53 and caspase 3 proteins. In addition, this extract protected the intestine against oxidative stress(ROS) caused by H2O2. Therefore, the bioactive compounds present in OP and recovered by applying agreen technology such as ohmic-heating, show promising potential to be used in food, nutraceutical,and biomedical applications, reducing this waste and facilitating the circular economy. ; This work was supported by the Grants from MCIN, CIBEROBN (CB06/03/1012), RedMultimetdrugs (RED2018-102471-T), and the Government of Aragón (B16-20R), the Interreg SudoeProgram (REDVALUE, SOE1/P1/E0123) through the European Regional Development Fund (FEDER) and the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategicfunding of UIDB/04469/2020 unit.

Olive pomace (OP) is the main residue that results from olive oil production. OP is rich in bioactive compounds, including polyphenols, so its use in the treatments of diseases related to oxidative stress, such as cancer, could be considered. The present work aimed to study the biological properties of different OP extracts, obtained by ohmic heating-assisted extraction and conventional heating, using water and 50% ethanol, in the treatment and prevention of colorectal cancer through Caco-2 cell models. Additionally, an in-silico analysis was performed to identify the phenolic intestinal absorption and Caco-2 permeability. The extracts were chemically characterized, and it was found that the Ohmic-hydroethanolic (OH-EtOH) extract had the highest antiproliferative effect, probably due to its higher content of phenolic compounds. The OH-EtOH induced potential modifications in the mitochondrial membrane and led to apoptosis by cell cycle arrest in the G1/S phases with activation of p53 and caspase 3 proteins. In addition, this extract protected the intestine against oxidative stress (ROS) caused by H2O2. Therefore, the bioactive compounds present in OP and recovered by applying a green technology such as ohmic-heating, show promising potential to be used in food, nutraceutical, and biomedical applications, reducing this waste and facilitating the circular economy. ; This work was supported by the Grants from MCIN, CIBEROBN (CB06/03/1012), Red Multimetdrugs (RED2018-102471-T), and the Government of Aragón (B16-20R), the Interreg Sudoe Program (REDVALUE, SOE1/P1/E0123) through the European Regional Development Fund (FEDER) and the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding of UIDB/04469/2020 unit. ; info:eu-repo/semantics/publishedVersion