Efficient single-photon emission from electrically driven InP quantum dots epitaxially grown on Si(001)

The heteroepitaxy of III-V semiconductors on silicon is a promising approach for making silicon a photonic platform for on-chip optical interconnects and quantum optical applications. Monolithic integration of both material systems is a long-time challenge, since different material properties lead to high defect densities in the epitaxial layers. In recent years, nanostructures however have shown to be suitable for successfully realising light emitters on silicon, taking advantage of their geometry. Facet edges and sidewalls can minimise or eliminate the formation of dislocations, and due to the reduced contact area, nanostructures are little affected by dislocation networks. Here we demonstrate the potential of indium phosphide quantum dots as efficient light emitters on CMOS-compatible silicon substrates, with luminescence characteristics comparable to mature devices realised on III-V substrates. For the first time, electrically driven single-photon emission on silicon is presented, meeting the wavelength range of silicon avalanche photo diodes' highest detection efficiency

InP-quantum dots in Al0.20Ga0.80InP with different barrier configurations

Systematic ensemble photoluminescence studies have been performed on type-I InP-quantum dots in Al0.20Ga0.80InP barriers, emitting at approximately 1.85 eV at 5 K. The influence of different barrier configurations as well as the incorporation of additional tunnel barriers on the optical properties has been investigated. The confinement energy between the dot barrier and the surrounding barrier layers, which is the sum of the band discontinuities for the valence and the conduction bands, was chosen to be approximately 190 meV by using Al0.50Ga0.50InP. In combination with 2 nm thick AlInP tunnel barriers, the internal quantum efficiency of these barrier configurations can be increased by up to a factor of 20 at elevated temperatures with respect to quantum dots without such layers.Comment: physica status solidi (c) (Proceedings of QD 2008

CDC2 mediates progestin initiated endometrial stromal cell proliferation: a PR signaling to gene expression independently of its binding to chromatin

Although non-genomic steroid receptor pathways have been studied over the past decade, little is known about the direct gene expression changes that take place as a consequence of their activation. Progesterone controls proliferation of rat endometrial stromal cells during the peri-implantation phase of pregnancy. We showed that picomolar concentration of progestin R5020 mimics this control in UIII endometrial stromal cells via ERK1-2 and AKT activation mediated by interaction of Progesterone Receptor (PR) with Estrogen Receptor beta (ERb) and without transcriptional activity of endogenous PR and ER. Here we identify early downstream targets of cytoplasmic PR signaling and their possible role in endometrial stromal cell proliferation. Microarray analysis of global gene expression changes in UIII cells treated for 45 min with progestin identified 97 up- and 341 down-regulated genes. The most over-represented molecular functions were transcription factors and regulatory factors associated with cell proliferation and cell cycle, a large fraction of which were repressors down-regulated by hormone. Further analysis verified that progestins regulate Ccnd1, JunD, Usf1, Gfi1, Cyr61, and Cdkn1b through PR-mediated activation of ligand-free ER, ERK1-2 or AKT, in the absence of genomic PR binding. ChIP experiments show that progestin promoted the interaction of USF1 with the proximal promoter of the Cdc2 gene. Usf1 knockdown abolished Cdc2 progestin-dependent transcriptional regulation and cell proliferation, which also blocked Cdc2 knockdown. We conclude that progestin-induced proliferation of endometrial stromal cells is mediated by ERK1-2 and AKT dependent early regulation of USF1, which directly induces Cdc2. To our knowledge, this is the first description of early target genes of progestin-activated classical PR via crosstalk with protein kinases and independently of hormone receptor binding to the genomic targets.Fil: Vallejo, Griselda. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); ArgentinaFil: la Greca, Alejandro Damián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); ArgentinaFil: Tarifa Reischle, Inti C.. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); ArgentinaFil: Mestre Citrinovitz, Ana Cecilia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); ArgentinaFil: Ballaré, Cecilia. Centro de Regulación Genómica; EspañaFil: Beato, Miguel. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; EspañaFil: Saragüeta, Patricia Esther. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental (i); Argentin

Simulations between alternating CA, alternating TM and circuit families

Variants of cellular automata consisting of alternating instead of deterministic finite automata are investigated, so-called uniform alternating CA (ACA) and two types of nonuniform ACA. The former two have been considered by Matamala (1997). It is shown that the nonuniform ACA are time equivalent. The main contributions are fast simulations of ACA by uniform circuit families and vice versa. It is shown that nonuniform ACA are time equivalent to circuit families with unbounded fan-in, and that uniform ACA are time equivalent to circuit families with constant fan-in. Hence uniform ACA and alternating TM are time equivalent, too, solving a problem left open by Matamala. The results also give some evidence that a linear time simulation of nonuniform ACA by ATM is ``unlikely\u27\u27 to exist

Perazin - ein "typisches" Antipsychotikum mit "atypischem" Nebenwirkungsprofil? Ein Vergleich der Häufigkeit der Behandlung von extrapyramidalen Nebenwirkungen zwischen Risperidon, Olanzapin und Perazin

Einleitung: Extrapyramidale Nebenwirkungen (EPS) treten während der Therapie mit Antipsychotika häufig auf. Die antipsychotischen Substanzen sind jedoch bei den schizophrenen Psychosen die Therapie der Wahl. Biperiden wird zur Linderung der EPS eingesetzt. Methodik: In dieser Studie werden Risperidon, Olanzapin und Perazin näher betrachtet. Sie werden hinsichtlich der EPS-Auslösung mit Clozapin als �Nullprobe� verglichen. Die Häufigkeit der Komedikation von Biperiden wird als Ausdruck der Häufigkeit von extrapyramidalen Nebenwirkungen gewertet. Hier handelt es sich um eine retrospektiv statistische Studie. Basis der Untersuchung stellt der Datenpool von AMÜP (Arzneimittelsicherheit- und Überwachungsprojekt), jetzt AGATE (Arbeitsgemeinschaft für Arzneimitteltherapie in der Psychiatrie), dar. Hierzu wurden zwischen 1995 und 2001 über Stichtagserhebungen an 20 bayerischen Krankenhäusern Patientendaten an 2 Tagen im Jahr im Abstand von 6 Monaten erhoben. Die Stichprobe besteht aus n= 9914 Patienten. Zusammenfassung: Ein Vergleich der Häufigkeit der Behandlung von extrapyramidalen Nebenwirkungen (Häufigkeit der Biperidenkomedikation) zwischen Risperidon, Olanzapin und Perazin erbrachte eine gute Verträglichkeit von Perazin, vergleichbar zu Olanzapin und überlegen gegenüber Risperidon. Perazin als älteres �typisches� Antipsychotikum sollte hinsichtlich seiner guten Verträglichkeit und seiner Eigenschaften genauer untersucht werden. Eine Dosisabhängigkeit in einer Dosis- Wirkungsbeziehung vorausgesetzt, hier demonstrierbar für Risperidon und Perazin, nicht für Olanzapin, ermöglicht einen Vergleich von Einzeldosierungen verschiedener Antipsychotika. Diese Methode kann als Ergänzung der bisher in der Forschung verwendeten Chlorpromazinäquivalente verwendet werden. Antipsychotische Kombinationstherapien sollten vermieden werden, da deutliche EPS-Erhöhungen im Vergleich zur Monotherapie auftreten

Multi Colony Ant Algorithms

In multi colony ant algorithms several colonies of ants cooperate in finding good solutions for an optimization problem. At certain time steps the colonies exchange information about good solutions. If the amount of exchanged information is not too large multi colony ant algorithms can be easily parallelized in a natural way by placing the colonies on different processors. In this paper we study the behaviour of multi colony ant algorithms with different kinds of information exchange between the colonies. Moreover we compare the behaviour of different numbers of colonies with a multi start single colony ant algorithm. As test problems we use the Traveling Salesperson problem and the Quadratic Assignment problem

Determining population structure among Argentinian jaguars (Panthera onca)

The jaguar (Panthera onca) is the largest felid in America and the most emblematic South American predator. This carnivore species holds a high environmental importance in all ecosystems it inhabits for its apex predator role. Jaguar populations have suffered an important decline over the last century and today this species is considered as critically endangered in Argentina. Ensuring the sustainability of theremaining jaguar populations demands a high degree of knowledge about the current state of their genetic variability levels and a description of population structure is essential, especially to allow rational translocation and reintroduction actions. The first jaguar reference genome was released in2017 (Figueiro et al. 2017) by the Jaguar Genome Project, a consortium we integrate.With the aim of generating useful resources and information for the jaguar genetics and conservation from the genomic perspective, we carried out the whole genome sequencing of 9 jaguar samples using Illumina 2500 NSG technology. Here we present the first results obtained from these 9 genomescompared to the reference. We performed a population structure analysis in order to estimate the optimal number of populations present in our data and a Multiple Correspondece Analysis (MCA) clustering of our samples based on over 280.000 homozygous variable positions in their genomes. Theestimation of the optimal number of populations present among our samples resulted in 6, according to the Structure analysis. However, the MCA clustering analysis only revealed 5 groups of individuals. The main genetic cluster of animal obtained is integrated by captive animals from zoos and natural reserves and surprisingly a Paraguayan male. Apart from this central group, a wild Argentinian sample from Misiones (a province in the north-east of the country) was located. Also, an animal of Uruguayan origin and the reference, built from a Brazilian animal, located in individual clusters.More work including heterozygous variable position analysis will be performed to better describe the genetic variability among the sequenced jaguar genomes and accurately describe the current genetic situation and population structure of this species in Argentinian territory.Fil: Pisciottano, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Tarifa Reischle, Inti Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Pegueroles Queralt, Cinta. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; EspañaFil: Willis, Jesse R.. Centro de Regulación Genómica; EspañaFil: Julca Chavez, Irene Consuelo. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; EspañaFil: Gabaldón, Toni. Centro de Regulación Genómica; España. Institució Catalana de Recerca i Estudis Avançats ; EspañaFil: Saragueta, Patricia Esther. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; ArgentinaExploring Genomic Landscapes EMBO WorkshopSan Pedro de AtacamaChileEMBOCenter for Genomic Regulatio

Higher-order chromatin organization defines Progesterone Receptor and PAX2 binding to regulate estradiol-primed endometrial cancer gene expression

Estrogen (E2) and Progesterone (Pg), via their specific receptors (ER and PR respectively), are major determinants in the development and progression of endometrial malignancies. Here, we have studied how E2 and the synthetic progestin R5020 affect genomic functions in Ishikawa endometrial cancer cells. Using ChIPseq in cells exposed to the corresponding hormones, we identified cell specific binding sites for ER (ERbs) and PR (PRbs), which mostly correspond to independent sites but both adjacent to sites bound by PAX2. Analysis of long-range interactions by Hi-C showed enrichment of regions co-bound by PR and PAX2 inside TADs that contain differentially progestin-regulated genes. These regions, which we call “progestin control regions” (PgCRs), exhibit an open chromatin state prior to the exposure to the hormone. Our observations suggest that endometrial response to progestins in differentiated endometrial tumor cells results in part from binding of PR together with partner transcription factors to PgCRs, compartmentalizing hormone-independent open chromatin.Fil: la Greca, Alejandro Damián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Bellora, Nicolás. Comision Nacional de Energia Atomica. Gerencia de Area de Aplicaciones de la Tecnologia Nuclear. Instituto de Tecnologias Nucleares Para la Salud.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Le Dily, Francois. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; EspañaFil: Jara, Rodrigo Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Quilez Oliete, Javier. Centro de Regulación Genómica; EspañaFil: Villanueva, José Luis. Centro de Regulación Genómica; EspañaFil: Vidal, Enrique. Centro de Regulación Genómica; EspañaFil: Merino, Gabriela Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; ArgentinaFil: Fresno Rodríguez, Cristóbal. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; ArgentinaFil: Tarifa Reischle, Inti Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Vallejo, Griselda. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Vicent, Guillermo P.. Centro de Regulación Genómica; EspañaFil: Fernandez, Elmer Andres. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba; ArgentinaFil: Beato, Miguel. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; EspañaFil: Saragueta, Patricia Esther. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentin