Serial magnetic cell enrichment of naturally occurring regulatory T cells.

<p>(a) Serial positive magnetic enrichment of CD4⁺CD25⁺CD45RA⁺ regulatory T cells (nTregs) from PBMCs. For pre-selection of CD4⁺ cells, PBMCs were first incubated with anti-CD4 Fab-multimers conjugated with <i>Strep</i>-Tactin-functionalized magnetic beads. The resulting positive fraction was then liberated from surface-bound label by D-biotin treatment and washed to remove anti-CD4 reagents. The second purification step comprised the selection for CD25 positive cells from the pre-selected CD4⁺ cell pool via specific anti-CD25 Fab bound to <i>Strep</i>-Tactin coated magnetic beads. Cell bound reagents were again removed from the resulting positive fraction by addition of D-biotin. In a third purification step, CD45RA⁺ cells were isolated from the enriched CD4⁺CD25⁺ cell population by using CD45RA-specific Fab-multimers conjugated to <i>Strep</i>-Tactin-coated magnetic beads. Living lymphocytes in the respective fractions of each selection step are shown. One representative experiment from five independent blood donors is shown. (b) Intracellular FoxP3 staining of triple positive enriched CD4⁺CD25⁺CD45RA⁺ regulatory T cells. (c) Overlay of the enriched CD4⁺CD25⁺CD45RA⁺ cell population (black dots) derived from serial magnetic selection as shown in (a) and the corresponding starting population (underlying grey dots). (d) Summary of cell purities obtained within each purification step of multiparameter magnetic bead-based nTregs purifications as performed in (a) with PBMCs derived from 5 different blood donors (left graph, mean values are indicated). In the right graph, yields (in %) of the target nTregs are shown; mean value is indicated. For all samples analyzed by flow cytometry, at least 50.000 events have been acquired.</p

Serial magnetic cell enrichment of central memory T cells.

<p>(a) Serial magnetic enrichment of CD8⁺CD62L⁺CD45RA^neg central memory T cells from fresh PBMCs. Cells were first incubated with anti-CD8 Fab-multimers conjugated with <i>Strep</i>-Tactin-functionalized magnetic beads in order to pre-select CD8⁺ cells. The resulting positive fraction was then treated with D-biotin and washed to remove all anti-CD8 reagents. In a second step, CD62L positive T cells were enriched from the pre-selected CD8⁺ T cell pool via specific anti-CD62L Fab bound to <i>Strep</i>-Tactin coated magnetic beads and subsequently liberated from the selection reagents as described above. In a final step CD45RA⁺ cells were depleted from the pre-enriched CD8⁺CD62L⁺ cell population using CD45RA specific Fab-multimers conjugated to <i>Strep</i>-Tactin-coated beads. Living lymphocytes in the respective fractions of each selection step are shown. One representative experiment from five independent blood donors is shown. (b) Overlay of the enriched CD8⁺CD62L⁺CD45RA^neg cell population (black dots) derived from serial magnetic selection as shown in (a) and the corresponding starting population (underlying grey dots). (c) Summary of cell purities obtained within each purification step of multiparameter magnetic bead-based T_CM purifications as performed in (a) with PBMCs derived from 5 different blood donors (left graph, mean values are indicated). In the right graph, yields (in %) of the target T_CMs are shown; mean value is indicated. For all samples analyzed by flow cytometry, at least 50.000 events have been acquired.</p

Collision detection on transmission lines with optical interferometer

V diplomski nalogi skušamo ugotoviti, v kolikšni meri je možno zaznavati in klasificirati trke na jeklenicah daljnovodov z optičnim interferometrom. Na začetku predstavimo osnovne pojme interferometrije in opišemo uporabljen optični interferometer. V jedru diplomske naloge natančneje opišemo eksperimentalni protokol in obdelavo signalov. Nadaljujemo z implementacijo algoritmov za segmentacijo in klasifikacijo zajetih signalov ter predstavimo dobljene rezultate. Segmentacijo izvedemo v domeni števila prehodov signala skozi ničlo, za klasifikacijo pa uporabimo večplastno nevronsko mrežo z algoritmom vzvratnega učenja. Rezultati študije nakazujejo, da sta implementirani segmentacija in klasifikacija uspešni v 77 % izvedenih trkov različnih predmetov.We analyse feasibility of collision detection on transmission lines with optical interferometer. We first provide a brief introduction into interferometry, along with a description of the optical interferometer used for measurements in this study. Afterwards, we describe the conducted experimental protocol and signal processing methodology. The focus is on implementation of algorithms for signal segmentation and collision classification. We used zero-crossing algorithm to transform signals into segmentation domain. Classification of collisions is done with a multilayer neural network trained by the backpropagation algorithm. The results demonstrate an average success rate of 77% for segmentation and classification of collision with five different objects

Sistematización de la experiencia de un ambiente de aprendizaje enriquecido por TIC durante la práctica clínica en fisioterapia cardiopulmonar en un hospital de nivel II de la ciudad de Cali

Esta investigación se centra en la caracterización de la experiencia de 4 estudiantes de fisioterapia de IX semestre de la Institución Universitaria Escuela Nacional del Deporte (IUEND) durante la implementación de un ambiente de aprendizaje enriquecido con Tecnologías de la Información y la Comunicación (TIC) en la práctica clínico – asistencial en Salud Cardiopulmonar; la cual se fundamenta en el hacer y pone a prueba las bases conceptuales del ciclo de fundamentación; todo esto con el fin de identificar las experiencias significativas que facilitan el aprendizaje y desarrollo de competencias clínicas, además analizar si este tipo de estrategias de enseñanza -aprendizaje permite al estudiante y al docente asesor superar inconvenientes propios de la práctica clínica como: optimizar tiempos de atención a pacientes, estudio independiente y trabajo colaborativo, retomar e integrar gran cantidad de conceptos y procedimientos aprendidos en IV semestre con las nuevas experiencias y la realidad del paciente; y a la vez cumplir con funciones administrativas propios del rol del fisioterapeuta asistencial (estadística, indicadores, desarrollo de guías, etc.) que dificultan el proceso de aprendizaje; concluyendo que los ambientes mediados por TIC pueden lograr superar estas dificultades y favorecer finalmente el aprendizaje significativo (juicio clínico), en el que se fundamenta el ciclo de práctica profesional

assay information of the mouse tissue samples for HeliScopeCAGE

a tab delimited flat file (SDRF file) describing the experimental details for mouse tissue samples for the standard protocol of the HeliScopeCAGE protoco

DRA001027

List of DRA (http://trace.ddbj.nig.ac.jp/dra/index_e.html) accession numbers of the FANTOM5 samples, sequences and genomic coordinations. Files are in tab-delimited format, which includes * Library ID * FFID * BioSamples accession number * DRA experiment accession number * DRA run accession numbers * DRA analysis accession number for genomic coordination (BAM file) * DRA analysis accession number for CTSS (BED file) * Experiment method (CAGE/RNA-Seq/sRNA-Seq

assay information of the mouse qualitycontrol samples for HeliScopeCAGE

a tab delimited flat file (SDRF file) describing the experimental details for mouse quality control samples for the standard protocol of the HeliScopeCAGE protoco

DRA002216

List of DRA (http://trace.ddbj.nig.ac.jp/dra/index_e.html) accession numbers of the FANTOM5 samples, sequences and genomic coordinations. Files are in tab-delimited format, which includes * Library ID * FFID * BioSamples accession number * DRA experiment accession number * DRA run accession numbers * DRA analysis accession number for genomic coordination (BAM file) * DRA analysis accession number for CTSS (BED file) * Experiment method (CAGE/RNA-Seq/sRNA-Seq

assay information of the mouse qualitycontrol samples for HeliScopeCAGE (low quantity ver.)

a tab delimited flat file (SDRF file) describing the experimental details for mouse quality control samples for the low quantity version of the HeliScopeCAGE protoco

assay information of the unclassified samples for HeliScopeCAGE

a tab delimited flat file (SDRF file) describing the experimental details for unclassified samples for the standard protocol of the HeliScopeCAGE protoco