Spin-helical Dirac states in graphene induced by polar-substrate surfaces with giant spin-orbit interaction: a new platform for spintronics

Spintronics, or spin electronics, is aimed at efficient control and manipulation of spin degrees of freedom in electron systems. To comply with demands of nowaday spintronics, the studies of electron systems hosting giant spin-orbit-split electron states have become one of the most important problems providing us with a basis for desirable spintronics devices. In construction of such devices, it is also tempting to involve graphene, which has attracted great attention because of its unique and remarkable electronic properties and was recognized as a viable replacement for silicon in electronics. In this case, a challenging goal is to lift spin degeneracy of graphene Dirac states. Here, we propose a novel pathway to achieve this goal by means of coupling of graphene and polar-substrate surface states with giant Rashba-type spin-splitting. We theoretically demonstrate it by constructing the graphene@BiTeCl system, which appears to possess spin-helical graphene Dirac states caused by the strong interaction of Dirac and Rashba electrons. We anticipate that our findings will stimulate rapid growth in theoretical and experimental investigations of graphene Dirac states with real spin-momentum locking, which can revolutionize the graphene spintronics and become a reliable base for prospective spintronics applications.

Feature Selection for Speech Emotion Recognition in Spanish and Basque: On the Use of Machine Learning to Improve Human-Computer Interaction

Study of emotions in human-computer interaction is a growing research area. This paper shows an attempt to select the most significant features for emotion recognition in spoken Basque and Spanish Languages using different methods for feature selection. RekEmozio database was used as the experimental data set. Several Machine Learning paradigms were used for the emotion classification task. Experiments were executed in three phases, using different sets of features as classification variables in each phase. Moreover, feature subset selection was applied at each phase in order to seek for the most relevant feature subset. The three phases approach was selected to check the validity of the proposed approach. Achieved results show that an instance-based learning algorithm using feature subset selection techniques based on evolutionary algorithms is the best Machine Learning paradigm in automatic emotion recognition, with all different feature sets, obtaining a mean of 80,05% emotion recognition rate in Basque and a 74,82% in Spanish. In order to check the goodness of the proposed process, a greedy searching approach (FSS-Forward) has been applied and a comparison between them is provided. Based on achieved results, a set of most relevant non-speaker dependent features is proposed for both languages and new perspectives are suggested.

Ultrastrong light-matter interaction in quantum technologies

120 p.

Specific Interaction with Cardiolipin Triggers Functional Activation of Dynamin-Related Protein 1

Dynamin-Related Protein 1 (Drp1), a large GTPase of the dynamin superfamily, is required for mitochondrial fission in healthy and apoptotic cells. Drp1 activation is a complex process that involves translocation from the cytosol to the mitochondrial outer membrane (MOM) and assembly into rings/spirals at the MOM, leading to membrane constriction/division. Similar to dynamins, Drp1 contains GTPase (G), bundle signaling element (BSE) and stalk domains. However, instead of the lipid-interacting Pleckstrin Homology (PH) domain present in the dynamins, Drp1 contains the so-called B insert or variable domain that has been suggested to play an important role in Drp1 regulation. Different proteins have been implicated in Drp1 recruitment to the MOM, although how MOM-localized Drp1 acquires its fully functional status remains poorly understood. We found that Drp1 can interact with pure lipid bilayers enriched in the mitochondrion-specific phospholipid cardiolipin (CL). Building on our previous study, we now explore the specificity and functional consequences of this interaction. We show that a four lysine module located within the B insert of Drp1 interacts preferentially with CL over other anionic lipids. This interaction dramatically enhances Drp1 oligomerization and assembly-stimulated GTP hydrolysis. Our results add significantly to a growing body of evidence indicating that CL is an important regulator of many essential mitochondrial functions.

Efeito da 1,10-fenantrolina e seus derivados complexados em metal na atividade proteolítica de Leishmania braziliensis

Leishmanioses são um grupo de doenças com um largo espectro de manifestações clínicas, as quais variam desde lesões cutâneas até o envolvimento visceral severo, podendo levar ao óbito. A leishmaniose é, ainda hoje, uma doença negligenciada, estando entre os agravos prioritários do programa de pesquisa sobre doenças da pobreza da Organização Mundial da Saúde (OMS). Além de não haver vacinas disponíveis, a terapia é baseada em medicamentos injetáveis que causam sérios efeitos colaterais, tornando o tratamento inviável para muitos países endêmicos. Drogas derivadas de metal representam um novo arsenal terapêutico antimicrobiano e anti-câncer. Os inibidores de peptidase/agentes quelantes tais como 1,10-fenantrolina e seus derivados, no estado livre de metal ou como ligantes com metais de transição, interferem com a função de vários sistemas biológicos. Em trabalhos anteriores, nosso grupo descreveu que o parasito L. braziliensis produziu moléculas gp63 sensíveis a 1,10-fenantrolina. No presente trabalho, demonstramos a distribuição celular da molécula gp63 em uma cepa virulenta de L. braziliensis por meio de análises bioquímicas e imuno-histoquímica. Depois disso, relatamos os efeitos inibitórios de três compostos derivados da 1,10-fenantrolina, 1,10-fenantrolina-5,6-diona (phendio), [Cu(phendio)2] e [Ag(phendio)2], nas atividades metalopeptidases celulares e extracelulares produzidas por promastigotas de L. braziliensis, bem como as suas ações sobre a viabilidade do parasita e na interação com as células de macrófagos murinos. As moléculas gp63 foram detectadas em compartimentos de parasitos, incluindo membrana citoplasmatica e bolsa flagelar. O tratamento de promastigotas de L. braziliensis durante 1 hora com 1,10-fenantrolina e seus derivados resultou numa inibição significativa da viabilidade celular e mostrou um mecanismo de ação irreversível. Estes inibidores de metalopeptidases induziram apoptose em promastigotas de L. braziliensis, demonstrada através da marcação com anexina/iodeto de propídio e ensaio TUNEL. O pré-tratamento de promastigotas com os inibidores de metalopeptidases induziram uma diminuição na expressão de moléculas de superfície gp63, assim como uma redução significativa no índice de associação com macrófagos. Em paralelo, macrófagos infectados com L. braziliensis e tratados com 1,10-fenantrolina e seus derivados promoveram uma potente redução sobre o número de amastigotas intracelulares. O tratamento de macrófagos com 1,10-fenantrolina e seus derivados não induziram o aumento de óxido nítrico. A ação combinatória sobre a capacidade de crescimento entre os compostos derivados da 1,10-fenantrolina e Glucantime, quando ambos foram utilizados em concentracões sub-inibidoras, também foi observada. In vivo os compostos derivados da 1,10-fenantrolina e seus drivados foram capazes de controlar o tamanho das lesões a partir da terceira semana de tratamento em relação ao controle não tratado em hamsters infectados quando administrado por via intraperitoneal. Os animais tratados com os compostos apresentaram maior resposta intradérmica (DTH) aos antígenos de L. braziliensis. Coletivamente, a 1,10-fenantrolina e seus derivados metálicos apresentam uma nova perspectiva de estudos para o desenvolvimento de novos fármacos anti-L. braziliensis

Interaction between the 5-HT system and the basal ganglia: functional implication and therapeutic perspective in Parkinson's disease

The neurotransmitter serotonin (5-HT) has a multifaceted function in the modulation of information processing through the activation of multiple receptor families, including G-protein-coupled receptor subtypes (5-HT1, 5-HT2, 5-HT4-7) and ligand-gated ion channels (5-HT3). The largest population of serotonergic neurons is located in the midbrain, specifically in the raphe nuclei. Although the medial and dorsal raphe nucleus (DRN) share common projecting areas, in the basal ganglia (BG) nuclei serotonergic innervations come mainly from the DRN. The BG are a highly organized network of subcortical nuclei composed of the striatum (caudate and putamen), subthalamic nucleus (STN), internal and external globus pallidus (or entopeduncular nucleus in rodents, GPi/EP and GPe) and substantia nigra (pars compacta, SNc, and pars reticulata, SNr). The BG are part of the cortico-BG-thalamic circuits, which play a role in many functions like motor control, emotion, and cognition and are critically involved in diseases such as Parkinson's disease (PD). This review provides an overview of serotonergic modulation of the BG at the functional level and a discussion of how this interaction may be relevant to treating PD and the motor complications induced by chronic treatment with L-DOPA.