Resultados de investigación

The photoinduced processes can be promising routes for hydrogen generation. This study explores hydrogen production through the non-catalyzed photodegradation of various biomass materials, a process that remains largely understudied compared to the catalyzed ones, i.e., photoreforming. Using as precursor almond shell (AS), a lignocellulosic biomass residue, various solid and liquid materials obtained from it were tested as substrates. These materials were obtained through different pretreatment methods including grinding, milling, pyrolysis, and hydrothermal carbonization (HTC), and compared with milled cellulose (MC). Photodegradation tests, conducted in aqueous media under UV light, revealed that hydrogen production strongly depends on the structural and compositional features of the substrates. Among the solid samples, ground almond shell (GAS) and milled cellulose (MC) showed promising hydrogen yields. However, the liquid residue from the HTC process using diluted phosphoric acid (HMAS-L2), which is rich in simple organic acids, stood out, delivering the highest hydrogen production across all the substrates, and reaching an impressive value of 105 μmol of H2 in 5 h of reaction. Attention was also given to the production of other gases, particularly carbon dioxide and methane, as a result of the photodegradation. CO2 production occurred for all the substrates. PMAS (the pyrolyzed milled almond shell) and, specifically, HMAS-L2 generated detectable amounts of CH4 (5 and 22 μmol, respectively). The H2/CO2 ratios reached 0.66 for MC and 0.44 for HMAS-L2, highlighting the interest in evaluating the non-catalyzed biomass photodegradation as a preliminary step for future photoreforming studies. These findings enhance our understanding of biomass-based hydrogen generation and open new avenues for exploring non-catalyzed photoinduced processes.

Glosario bilingüe que presenta 207 fichas terminológicas en las que aparecen en inglés y español: el término, su categoría gramatical, definición, contexto y fuente de estas dos últimas. El campo de especialidad de este estudio consta del cambio climático, pasando por las causas y consecuencias realizando registros terminológicos y de esa forma, indagando sobre la información que los términos ofrecen sobre el calentamiento global, efecto invernadero, deshielo, etc.

1924x30 matrix with 1924 blinks from 26 subjects characterized by vectors of features.

Dataset containing all known records of the Neotropical alien species Amphicerus cornutus (Coleoptera, Bostrichidae), representing the known distribution of this species in Europe. This dataset is associated with a manuscript presenting the first established European population of the Neotropical bostrichid Amphicerus cornutus (Pallas). Based on continuous capture data from baited traps, light traps, and direct sampling across four provinces in southern and southeastern Spain, we demonstrate that A. cornutus has been present in Europe since at least 2009 and currently maintains a stable population. Furthermore, we report new host plant associations within its invaded range. Inferences regarding the invasion dynamics suggest two or three independent introduction events, followed by a phase of territorial expansion starting around 2017.

This file contains data of the figures of the experiments performed and of the microscopy images.

Respuestas al cuestionario online "Ética y revistas científicas españolas de Comunicación, Educación y Psicología: la percepción editora (V1)", bloque IV "Perfil de la revista" (Autoras: Tur-Viñes, V.; Fonseca-Mora, M.C.; Gutiérrez San-Miguel, B., 2013).

The IAEAV dataset contains a collection of audio recordings in Spanish, comprising dialogues between medical practitioners and Alzheimer patients or healthy control participants The dataset is designed for research on speech patterns and communication dynamics, with a particular focus on Alzheimer's disease. It includes 184 recordings from healthy controls and 39 from Alzheimer patients, each annotated with time-stamped labels that differentiate between medical practitioners, patients, and overlapping speech. All audio recordings have been anonymized through morphing and the removal of personally identifiable information to ensure participant privacy. The IAEAV dataset serves as a valuable resource for studies in artificial intelligence, natural language processing for speech processing and text transcriptions, clinical interaction analysis, and Alzheimer's research, offering insights into verbal communication in both clinical and control settings.

This file contains the data of the manuscript Activating Agent-Free Synthesis of N,P-Co-Doped Porous Carbons from Lignocellulosic Waste for the Oxygen Reduction Reaction submitted for publication in Sustainability journal.