Gaussian and Gaussian-pulsed-like Fermi velocity graphene structures

Gaussian and Gaussian-related structures are quite attractive due to its versatility to modulate the electronic transport, including its possibility as electron filters. Here, we show that these non-conventional profiles are not the exception when dealing with Fermi velocity barriers in monolayer graphene. In particular, we show that Gaussian Fermi velocity graphene barriers (G-FVGBs) and Gaussian-pulsed-like Fermi velocity graphene superlattices (GPL-FVGSLs) can serve as electron band-pass filters and oscillating conductance structures. We reach this conclusion by theoretically studying the transmission and transport properties of the mentioned structures. The study is based on the continuum model, the transfer matrix method and the Landauer-Büttiker formalism. We find nearly flat transmission bands or pass bands for G-FVGBs modulable through the system parameters. The pass bands improve as the maximum ratio of Fermi velocities (ξmax) increases, however its omnidirectional range is reduced. These characteristics result in a decaying conductance (integrated transmission) withξmax. The integrated transmission remains practically unaltered with the size of the system due to the saturation of the electron pass band filtering. In the case of GPL-FVGSLs the GPL profile results in regions of high transmission probability that can merge as flat transmission minibands if the pulse fraction and the superlattice parameters are appropriately tuned. The GPL profile also results in conductance (integrated transmission) oscillations that can be multiplied or reduced in number by adjusting the pulse fraction as well as the superlattice parameters.

Release 4.0 of the Plant rDNA Database: A Database on Plant Ribosomal DNA Loci Number, Their Position, and Organization: An Information Source for Comparative Cytogenetics

This paper presents the latest update to the Plant rDNA database (Release 4.0), a valuable resource for researchers in the field of plant cytogenetics. The database provides information on the number, position, and arrangement of ribosomal DNA loci in plants, including angiosperms, gymnosperms, bryophytes, and pteridophytes. The new release includes new data for 820 species coming from additional 173 papers. In the updated version of the Plant rDNA database, 4948 entries comprising 2760 organisms can be found. A brief guide on how to navigate the database and obtain the desired information is also provided. The regular updating of the database is important for ensuring the information it contains is accurate, up-to-date, and useful for the research community. The Plant rDNA database continues to be beneficial for phylogenetic and cytogenetic studies in a wide range of taxa including angiosperms, gymnosperms, and early diverging groups, such as bryophytes and lycophytes.

First Update to B-Chrom: A Database on B-Chromosomes

The supernumerary mostly dispensable B chromosomes are nuclear components of about 15% of eukaryotic phyla. For a long time, B chromosomes have been studied, generating an enormous bulk of knowledge, diluted in the vastness of the scientific literature. In order to provide better access to this information, we created B-chrom ( www.bchrom.csic.es ), an online database with comprehensive information on Bs for plants, animals, and fungi. It was released in 2017 and first updated in 2021, by adding 334 entries and 123 new species. Currently, the resource provides information for 2951 species coming from 3292 sources. During this time, the usefulness of this database has been proven by the number of visits (more than 207,000 since its release) and by the scientific community, having been cited in more than 60 publications until present. This chapter explains the database composition and tips on how to use it.

Online Resources Useful for Plant Cytogenetics and Cytogenomics Research

The advancements in research in the field of plant cytogenetics and genomics in recent decades have led to a significant increase in publications. To simplify access to the widely dispersed data, there has been a rise in the number of online databases, repositories, and analytical tools. This chapter presents a comprehensive overview of these resources, which can be beneficial to researchers in these areas. It includes, among others, databases on chromosome numbers, special chromosomes (such as B chromosomes or sex chromosomes), some of which are taxon-specific; genome sizes, cytogenetics; and online applications and tools for genomic analysis and visualization.

Biperiodic superlattices and transparent states in graphene

The transmission and transport properties of biperiodic graphene superlattices are studied theoretically. Special attention is paid to the so-called transparent states of biperiodic superlattices. A Dirac-like Hamiltonian is used to describe the charge carriers in graphene. The transfer matrix method and the Landauer-Büttiker formalism are implemented to obtain the transmittance and conductance, respectively. Similar results to those reported for Schrödinger electrons are obtained. However, in the case of Dirac electrons the splitted bands and the transparent states associated to the biperiodicity depend strongly on the angle of incidence as well as the character of the charge carriers. In fact, the dynamic of the splitted bands and transparent states is inverted for holes. The origin of transparent states is unveiled by obtaining an analytic expression for the transmittance. It is found that resonant transmission through single and double barriers gives rise to transparent states. Regarding the transport properties, it is possible to identify the fundamental changes caused by the biperiodicity. In particular, it is found a splitting, shifting, and diminishment of the conductance peaks with respect to the case of regular periodicity. This opens the door to corroborate experimentally the fundamental characteristics of biperiodic gated graphene superlattices through transport measurements.

Self-similar transport, spin polarization and thermoelectricity in complex silicene structures

2D materials open the possibility to study Dirac electrons in complex self-similar geometries. The two-dimensional nature of materials like graphene, silicene, phosphorene and transition-metal dichalcogenides allow the nanostructuration of complex geometries through metallic electrodes, interacting substrates, strain, etc. So far, the only 2D material that presents physical properties that directly reflect the characteristics of the complex geometries is monolayer graphene. In the present work, we show that silicene nanostructured in complex fashion also displays self-similar characteristics in physical properties. In particular, we find self-similar patterns in the conductance, spin polarization and thermoelectricity of Cantor-like silicene structures. These complex structures are generated by modulating electrostatically the silicene local bandgap in Cantor-like fashion along the structure. The charge carriers are described quantum relativistically by means of a Dirac-like Hamiltonian. The transfer matrix method, the Landauer–Büttiker formalism and the Cutler–Mott formula are used to obtain the transmission, transport and thermoelectric properties. We numerically derive scaling rules that connect appropriately the self-similar conductance, spin polarization and Seebeck coefficient patterns. The scaling rules are related to the structural parameters that define the Cantor-like structure such as the generation and length of the system as well as the height of the potential barriers. As far as we know this is the first time that a 2D material beyond monolayer graphene shows self-similar quantum transport as well as that transport related properties like spin polarization and thermoelectricity manifest self-similarity.

Association of growth factors with arterial recanalization and clinical outcome in patients with ischemic stroke treated with tPA

SUMMARY BACKGROUND

Growth factors (GF) such as vascular endothelial growth factor (VEGF), angiopoietin-1 (Ang-1) and granulocyte-colony stimulating factor (G-CSF) have been associated with greater efficacy of tissue plasminogen activator (tPA) in experimental studies.

OBJECTIVES

To study the association of these GF with arterial recanalization and clinical outcome in patients with acute ischemic stroke treated with tPA.

METHODS

We prospectively studied 79 patients with ischemic stroke attributable to MCA occlusion treated with i.v. tPA within the first 3 h from onset of symptoms. Continuous transcranial color-coded sonography (TCCS) was performed during the first 2 h after tPA bolus to assess early MCA recanalization. Hemorrhagic transformation (HT) was classified according to ECASS II definitions. Good functional outcome was defined as a Rankin scale score of 0-2 at 90 days. GF levels were determined by ELISA.

RESULTS

Mean serum levels of VEGF, G-CSF and Ang-1 at baseline were significantly higher in patients with early MCA recanalization (n = 30) (all P < 0.0001). In the multivariate analysis, serum levels of VEGF (OR, 1.03), G-CSF (OR, 1.02) and Ang-1 (OR, 1.07) were independently associated with early MCA recanalization (all P < 0.0001). On the other hand, patients with parenchymal hematoma (PH) (n = 20) showed higher levels of Ang-1 (P < 0.0001). Ang-1 (OR, 1.12; P < 0.0001) was independently associated with PH, whereas patients with good outcome (n = 38) had higher levels of G-CSF (P < 0.0001). G-CSF was independently associated with good outcome (OR, 1.12; P = 0.036).

CONCLUSIONS

These findings suggest that GF may enhance arterial recanalization in patients with ischemic stroke treated with t-PA, although they might increase the HT.

[Molecular markers are associated with early computed tomography ischemic changes]

INTRODUCTION

During brain ischemia, neurotoxicity, neuroinflammation and blood-brain barrier (BBB) disruption mechanisms are involved, leading to necrosis, edema and hemorrhagic transformation. Cranial computed tomography (CT) is the most widely used method in the diagnosis of acute stroke, and its early performance may help in the selection of patients for certain treatments. Our objective is to identify molecular markers of neuroexcitotoxicity, neuroinflammation and BBB disruption in the acute phase of stroke that might be associated with early ischemic CT signs.

METHODS

311 patients with ischemic stroke within the first 24 h from symptoms onset were prospectively included. We established tres groups based on the time between symptom onset and hospital arrival: < or = 6 h, between 6 and 12 h and >12 h. Cranial CT was performed at admission to evaluate early ischemic signs according to the Alberta Stroke Program Early CT Score (ASPECTS). Blood samples were taken at admission for the determination of molecular markers of neuroexcitotoxicity (glutamate), neuroinflammation (interleukin [IL]-6) and BBB disruption (metalloproteinase [MMP]-9).

RESULTS

Patients with ASPECTS score < or =7 showed a worse early and late prognosis. Glutamate >134.4 microM (OR: 9.7; CI 95%: 4.2-22.5; p<0.001), IL-6>15.5 pg/mL (OR: 4.4; CI 95%: 2.1-9.4; p<0.001) and MMP-9 > 87.2 ng/mL (OR: 18.4; CI 95%: 7.2-47.1; p<0.001) were associated with ASPECTS score < or =7. In the logistic regression model, only glutamate >134.4 microM/l in the first 6 h (OR: 13.2; CI95%: 5.4-31.3; p<0.001), IL-6>15.5 pg/mL from 6 to 12 h (OR: 10.5; CI 95 %: 4.1-26.7; p<0.001) and MMP-9 >87.2 ng/ml after 12 h (OR: 24.2; CI 95%: 4.8- 50.2; p < 0.001) were independently associated with ASPECTS score < or = 7.

CONCLUSIONS

The ASPECTS score may be considered as a surrogate marker of early neurological deterioration and final infarct volume, and associated with molecular markers of neuroexcitotoxicity, neuroinflammation and BBB disruption.

[Application of proteomics to neurological diseases]

Proteomic is a set of tools that allows the separation and identification of proteins expressed by a cell, tissue or organism. Two-dimensional electrophoresis is the central tool that allows qualitative and quantitative comparisons of protein patterns between samples. Differential analysis of protein expression patterns in different neurological diseases (stroke, Alzheimer, Parkinson, amyotrophic lateral sclerosis, Hungtington, epilepsy) allows the identification of diagnostic and/or prognostic biomarkers. Subsequently, validation of these markers may help to identify new diagnostic and therapeutic targets.