2,671 research outputs found
The Development of Nanostructured TiO2 Sol-Gel Derived Coatings – the Influence of Substrate Preparation Method and Post Treatment of Coatings
No full textThe analysis of literature data and experimental results obtained by the Author of the report clearly showed that further researches shall be devoted to the surface preparation method and characterization of the substrate obtained to check the dependency of morphological features whether they are characteristics of sol or substrates
Resource Toward Rigorous Comprehension of Biological Complexity: Modeling, Execution, and Visualization of Thymic T-Cell Maturation
No full textOne of the problems biologists face is a data set too large to comprehend in full. Experimenters generate data at an ever-growing pace, each from their own niche of interest. Current theories are each able, at best, to capture and model only a small part of the data. We aim to develop a general approach to modeling that will help broaden biological understanding. T-cell maturation in the thymus is a telling example of the accumulation of experimental data into a large disconnected data set. The thymus is responsible for the maturation of stem cells into mature T cells, and its complexity divides research into different fields, for example, cell migration, cell differentiation, histology, electron microscopy, biochemistry, molecular biology, and more. Each field forms its own viewpoint and its own set of data. In this study we present the results of a comprehensive integration of large parts of this data set. The integration is performed in a two-tiered visual manner. First, we use the visual language of Statecharts, which makes specification precise, legible, and executable on computers. We then set up a moving graphical interface that dynamically animates the cells, their receptors, the different gradients, and the interactions that constitute thymic maturation. This interface also provides a means for interacting with the simulation. [Supplemental material is available online at www.genome.org and at www.wisdom.weizmann.ac.il/sol/ sysbio2002/.] What Do Biologists Try to Understand
Układ odpornościowy a inne systemy poznawcze
No full textIn the following pages we propose a theory on cognitive systems and the com-mon strategies of perception, which are at the basis of their function. We demon-strate that these strategies are easily seen to be in place in known cognitive sys-tems such as vision and language. Furthermore we show that taking these strat-egies into consideration implies a new outlook on immune function calling for a new appraisal of the immune system as a cognitive system
The immune system and other cognitive systems
No full textIn the following pages we propose a theory on cognitive systems and the common strategies of perception, which are at the basis of their function. We demonstrate that these strategies are easily seen to be in place in known cognitive systems such as vision and language. Furthermore we show that taking these strategies into consideration implies a new outlook on immune function calling for a new appraisal of the immune system as a cognitive system
Pathway metrics accurately stratify T cells to their cells states
No full textAbstract Pathway analysis is a powerful approach for elucidating insights from gene expression data and associating such changes with cellular phenotypes. The overarching objective of pathway research is to identify critical molecular drivers within a cellular context and uncover novel signaling networks from groups of relevant biomolecules. In this work, we present PathSingle, a Python-based pathway analysis tool tailored for single-cell data analysis. PathSingle employs a unique graph-based algorithm to enable the classification of diverse cellular states, such as T cell subtypes. Designed to be open-source, extensible, and computationally efficient, PathSingle is available at https://github.com/zurkin1/PathSingle under the MIT license. This tool provides researchers with a versatile framework for uncovering biologically meaningful insights from high-dimensional single-cell transcriptomics data, facilitating a deeper understanding of cellular regulation and function
Reactive animation: realistic modeling of complex dynamic systems
No full textReactive animation combines state-of-the-art reactivity and state-of-the-art animation by linking advanced tools in the two areas. Architects of complex reactive systems and front-end designers then have a bridge between a system’s appearance and what it does. Complex systems come in many varieties. Some are transformational, of an inputprocess-output type, repeatedly carrying out their prescribed work for each new set of inputs. The complexity of these systems stems from their computations and from data flow, and is in the range of what existing tools can manage. A far more problematic class of complex systems comprises large systems that are heavily control- or event-driven. Such systems—dubbed reactive 1,2 because their role is to react to various kinds o
Sol Grossbard papers 1919
No full textA typescript written while serving in the Signal Corps with the U.S. Expeditionary Forces in Siberia, 1918-1919. It is a critique of the attitudes and policies of the Allies towards Russia and its various political groups which led to the Allies' intervention in Siberia in 1918, and how these shared Russian attitudes toward each of the Allies and contributed to the final outcome of the Allies' venture in Russia. The author also presents his views as to what steps the U.S. should have taken to have enabled a stable democratic Russian government to have evolve
MicroRNA-gene association as a prognostic biomarker in cancer exposes disease mechanisms.
No full textThe transcriptional networks that regulate gene expression and modifications to this network are at the core of the cancer phenotype. MicroRNAs, a well-studied species of small non-coding RNA molecules, have been shown to have a central role in regulating gene expression as part of this transcriptional network. Further, microRNA deregulation is associated with cancer development and with tumor progression. Glioblastoma Multiform (GBM) is the most common, aggressive and malignant primary tumor of the brain and is associated with one of the worst 5-year survival rates among all human cancers. To study the transcriptional network and its modifications in GBM, we utilized gene expression, microRNA sequencing, whole genome sequencing and clinical data from hundreds of patients from different datasets. Using these data and a novel microRNA-gene association approach we introduce, we have identified unique microRNAs and their associated genes. This unique behavior is composed of the ability of the quantifiable association of the microRNA and the gene expression levels, which we show stratify patients into clinical subgroups of high statistical significance. Importantly, this stratification goes unobserved by other methods and is not affiliated by other subsets or phenotypes within the data. To investigate the robustness of the introduced approach, we demonstrate, in unrelated datasets, robustness of findings. Among the set of identified microRNA-gene associations, we closely study the example of MAF and hsa-miR-330-3p, and show how their co-behavior stratifies patients into prognosis clinical groups and how whole genome sequences tells us more about a specific genomic variation as a possible basis for patient variances. We argue that these identified associations may indicate previously unexplored specific disease control mechanisms and may be used as basis for further study and for possible therapeutic intervention
Scrutinizing the importance of surface chemistry versus surface roughness for aluminium / sol-gel film adhesion
No full textThe sol-gel synthesis process is a versatile method used to produce a wide diversity of materials and is being increasingly used as a surface modification method to alter porosity, wettability, catalytic activity, biocompatibility and corrosion performance of underlying substrates. Silane sol–gel films deposited on aluminium and aluminium alloys have been widely studied as chemical conversion coatings and as coupling agent between the substrate and organic layers. This study set out to investigate the effect of the surface chemical treatment prior to sol-gel application on the interfacial adhesion properties of a hybrid sol-gel film. Different surface pre-treatments, including two abrasive treatments and three chemical surface pre-treatments were used and their effect on surface chemistry and surface roughness was assessed. Surfaces were characterized by scanning electron microscopy, x-ray photoelectron spectroscopy, roughness measurements and static contact angles. Cerium nitrate loaded hybrid sol-gel films were deposited and adhesion on commercially pure aluminium was evaluated using pull-off testing. Statistical analysis revealed that, although highest adhesion values were obtained on rougher surfaces, the strongest correlation exists between the surface hydroxyl fraction and adhesion strength.Team Arjan MolTeam Yaiza Gonzalez Garci
- …
