scholarly journals Regenerative potential of the Bichat fat pad determined by the quantification of multilineage differentiating stress enduring cells

2018 ◽  
Vol 62 (4) ◽  
Author(s):  
Giamaica Conti ◽  
Dario Bertossi ◽  
Elena Dai Prè ◽  
Chiara Cavallini ◽  
Maria Teresa Scupoli ◽  
...  
Keyword(s):  
Mesenchymal Cell ◽  
Cellular Level ◽  
Data Sets ◽  
Cellular Composition ◽  
Fat Pad ◽  
Cell Compartment ◽  
Data Set ◽  
Fat Pads ◽  
Scanning Electron

Published studies regarding Bichat fat pad focused, quite exclusively, on the implant of this adipose depot for different facial portions reconstruction. The regenerative components of Bichat fat pad were poorly investigated. The present study aimed to describe by an ultrastructural approach the Bichat fat pad, providing novel data at the ultrastructural and cellular level. This data sets improve the knowledge about the usefulness of the Bichat fat pad in regenerative and reconstructive surgery. Bichat fat pads were harvested form eight patients subjected to maxillofacial, dental and aesthetic surgeries. Biopsies were used for the isolation of mesenchymal cell compartment and for ultrastructural analysis. Respectively, Bichat fat pads were either digested and placed in culture for the characterization of mesenchymal stem cells (MSCs) or, were fixed in glutaraldehyde 2% and processed for transmission or scanning electron microscopy. Collected data showed very interesting features regarding the cellular composition of the Bichat fat pad and, in particular, experiments aimed to characterized the MSCs showed the presence of a sub-population of MSCs characterized by the expression of specific markers that allow to classify them as multilineage differentiating stress enduring cells.  This data set allows to collect novel information about regenerative potential of Bichat fat pad that could explain the success of its employment in reconstructive and regenerative medicine.

Chato Murciano pig breed: genetic and ethnozoological characterization

2006 ◽  
Vol 38 ◽  
pp. 77-86 ◽  
Author(s):  
B. Peinado ◽  
J.L. Vega-Pla ◽  
M.A. Martínez ◽  
M. Galián ◽  
C. Barba ◽  
...  
Keyword(s):  
Morphological Characterization ◽  
Data Sets ◽  
Large White ◽  
Data Set ◽  
Genetic Studies ◽  
Original Population ◽  
Accuracy And Precision ◽  
Qualitative Variables ◽  
Made In

SummaryThe Chato Murciano is the only surviving breed of pig of those historically farmed in the region of Murcia for their quality meat. At present, it is on the verge of extinction, having a population of only 260 reproductive animals. This paper describes the genetic studies made in the conservation and recovery programme of this breed of pig. A study of the morphological characterization of these animals was carried out first, measuring thirteen quantitative and six qualitative variables in a sample of 24 adult animals, 8 males and 16 females.Subsequently, investigation was made of the consanguinity of the individuals and of the population as well as the future influence of inbreeding in each generation. Finally, the accuracy and precision of the heterozygote-excess method was evaluated using two data sets from the Chato Murciano pig. One data set is an original population and the other is a F3+F4+F5 generation of a line created from mating a Chato Murciano female with a Large White boar as part of an absorption programme based on backcrosses with Chato Murciano boars.

MORPHOMETRICAL CHARACTERIZATION OF CYTISUS AND ALLIES (GENISTEAE: LEGUMINOSAE) AS AN AID IN TAXONOMIC DISCRIMINATION

1996 ◽  
Vol 44 (2-3) ◽  
pp. 95-114 ◽  
Author(s):  
Fernando González-Andrés ◽  
Jesús-María Ortiz
Keyword(s):  
Multivariate Analyses ◽  
Intermediate Position ◽  
Adult Plant ◽  
Data Sets ◽  
Data Set ◽  
Operational Taxonomic Units ◽  
Biochemical Studies ◽  
Seed Morphometry ◽  
Components Analysis

Twenty-four accessions belonging to the genus Cytisus and allied taxa were characterized by adult plant morphometry. Twenty-six characters were measured in flowers, 9 in leaves, and 5 in fruits. Two data sets were prepared, the first including only floral parameters and the second with all the parameters. Two different multivariate analyses were carried out for every data set: cluster analysis and principal components analysis. All these studies produced a similar grouping of the operational taxonomic units. Four clear groups were defined: (i) Cytisophyllum sessilifolium; (ii) Cytisus baeticus, C. reverchonii, C. scoparius., (iii) Chamaecytisus species; (iv) Genista species. On the other hand, Cytisus villosus showed an intermediate position between Cytisus and Chamaecytisus, and Cytisus heterochrous and C. purgans an intermediate position between Cytisus and Genista. This grouping agrees with that obtained by other recent seed morphometry and biochemical studies, and supports the generic arrangement presented by Bisby (1981).

Demonstration of Improved Quantitative Mobility Spectrum Analysis (i-QMSA)

1997 ◽  
Vol 490 ◽  
Author(s):  
I. Vurgaftman ◽  
J. R. Meyer ◽  
C. A. Hoffman ◽  
D. Redfern ◽  
J. Antoszewski ◽  
...  
Keyword(s):  
Spectrum Analysis ◽  
Real Data ◽  
Semiconductor Materials ◽  
Data Sets ◽  
Mobility Spectrum ◽  
Data Set ◽  
Standard Tool ◽  
Field Dependent ◽  
Quantitative Mobility Spectrum Analysis

ABSTRACTWe discuss an improved quantitative mobility spectrum analysis (i-QMSA) of magnetic-field-dependent Hall and resistivity data, which can determine multiple electron and hole densities and mobilities. A fully automated computer implementation of i-QMSA is applied to a variety of synthetic and real data sets. The results show that the new algorithm increases the information available from a given data set and is suitable for use as a standard tool in the characterization of semiconductor materials and devices.

scholarly journals Comparing perturbation models for evaluating stability of neuroimaging pipelines

2020 ◽  
Vol 34 (5) ◽  
pp. 491-501 ◽  
Author(s):  
Gregory Kiar ◽  
Pablo de Oliveira Castro ◽  
Pierre Rioux ◽  
Eric Petit ◽  
Shawn T Brown ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Error Detection ◽  
Data Sets ◽  
Data Set ◽  
Systems Software ◽  
Numerical Instabilities ◽  
Software Implementations ◽  
The Stability ◽  
Future Work

With an increase in awareness regarding a troubling lack of reproducibility in analytical software tools, the degree of validity in scientific derivatives and their downstream results has become unclear. The nature of reproducibility issues may vary across domains, tools, data sets, and computational infrastructures, but numerical instabilities are thought to be a core contributor. In neuroimaging, unexpected deviations have been observed when varying operating systems, software implementations, or adding negligible quantities of noise. In the field of numerical analysis, these issues have recently been explored through Monte Carlo Arithmetic, a method involving the instrumentation of floating-point operations with probabilistic noise injections at a target precision. Exploring multiple simulations in this context allows the characterization of the result space for a given tool or operation. In this article, we compare various perturbation models to introduce instabilities within a typical neuroimaging pipeline, including (i) targeted noise, (ii) Monte Carlo Arithmetic, and (iii) operating system variation, to identify the significance and quality of their impact on the resulting derivatives. We demonstrate that even low-order models in neuroimaging such as the structural connectome estimation pipeline evaluated here are sensitive to numerical instabilities, suggesting that stability is a relevant axis upon which tools are compared, alongside more traditional criteria such as biological feasibility, computational efficiency, or, when possible, accuracy. Heterogeneity was observed across participants which clearly illustrates a strong interaction between the tool and data set being processed, requiring that the stability of a given tool be evaluated with respect to a given cohort. We identify use cases for each perturbation method tested, including quality assurance, pipeline error detection, and local sensitivity analysis, and make recommendations for the evaluation of stability in a practical and analytically focused setting. Identifying how these relationships and recommendations scale to higher order computational tools, distinct data sets, and their implication on biological feasibility remain exciting avenues for future work.

FRACTAL CHARACTERIZATION OF BPN WEIGHTS EVOLUTION

2004 ◽  
Vol 14 (02) ◽  
pp. 139-145 ◽  
Author(s):  
S. GUNASEKARAN ◽  
B. VENKATESH ◽  
B. S. D. SAGAR
Keyword(s):  
Fractal Dimension ◽  
Dimensional Analysis ◽  
Back Propagation ◽  
Training Data ◽  
Data Sets ◽  
Training Phase ◽  
Data Set ◽  
Training Methodology ◽  
Propagation Network

Training methodology of the Back Propagation Network (BPN) is well documented. One aspect of BPN that requires investigation is whether or not the BPN would get trained for a given training data set and architecture. In this paper the behavior of the BPN is analyzed during its training phase considering convergent and divergent training data sets. Evolution of the weights during the training phase was monitored for the purpose of analysis. The evolution of weights was plotted as return map and was characterized by means of fractal dimension. This fractal dimensional analysis of the weight evolution trajectories is used to provide a new insight to understand the behavior of BPN and dynamics in the evolution of weights.

The Use of Advanced Analytical Techniques for Characterization of the Chemical, Physical, and Crystallographic Nature of a Surface

1973 ◽  
Vol 31 ◽  
pp. 132-133 ◽  
Author(s):  
R. E. Herfert
Keyword(s):  
Surface Characterization ◽  
Analytical Techniques ◽  
X Ray Diffraction ◽  
Depth Of Penetration ◽  
X Ray ◽  
The Past ◽  
Transmission Electron ◽  
Scanning Electron

Studies of the nature of a surface, either metallic or nonmetallic, in the past, have been limited to the instrumentation available for these measurements. In the past, optical microscopy, replica transmission electron microscopy, electron or X-ray diffraction and optical or X-ray spectroscopy have provided the means of surface characterization. Actually, some of these techniques are not purely surface; the depth of penetration may be a few thousands of an inch. Within the last five years, instrumentation has been made available which now makes it practical for use to study the outer few 100A of layers and characterize it completely from a chemical, physical, and crystallographic standpoint. The scanning electron microscope (SEM) provides a means of viewing the surface of a material in situ to magnifications as high as 250,000X.

Characterization of Sputtered Films using the Scanning Electron Microscope

1973 ◽  
Vol 31 ◽  
pp. 44-45
Author(s):  
R. F. Schneidmiller ◽  
W. F. Thrower ◽  
C. Ang
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
Thin Film Deposition ◽  
Film Deposition ◽  
Sputtered Films ◽  
Plasma Sputtering ◽  
Microelectronic Devices ◽  
Control Film ◽  
Scanning Electron

Solid state materials in the form of thin films have found increasing structural and electronic applications. Among the multitude of thin film deposition techniques, the radio frequency induced plasma sputtering has gained considerable utilization in recent years through advances in equipment design and process improvement, as well as the discovery of the versatility of the process to control film properties. In our laboratory we have used the scanning electron microscope extensively in the direct and indirect characterization of sputtered films for correlation with their physical and electrical properties.Scanning electron microscopy is a powerful tool for the examination of surfaces of solids and for the failure analysis of structural components and microelectronic devices.

The social wasp Vespula germanica (Fabricius) (Hymenoptera: Vespidae) population dynamics in England over 39 years.

2018 ◽  
Vol 154 (2) ◽  
pp. 149-155
Author(s):  
Michael Archer
Keyword(s):  
Population Dynamics ◽  
Population Dynamic ◽  
Ecological Factors ◽  
Social Wasp ◽  
Data Sets ◽  
Data Set ◽  
Vespula Germanica ◽  
The Social ◽  
Minimum Number ◽  
Suction Traps

1. Yearly records of worker Vespula germanica (Fabricius) taken in suction traps at Silwood Park (28 years) and at Rothamsted Research (39 years) are examined. 2. Using the autocorrelation function (ACF), a significant negative 1-year lag followed by a lesser non-significant positive 2-year lag was found in all, or parts of, each data set, indicating an underlying population dynamic of a 2-year cycle with a damped waveform. 3. The minimum number of years before the 2-year cycle with damped waveform was shown varied between 17 and 26, or was not found in some data sets. 4. Ecological factors delaying or preventing the occurrence of the 2-year cycle are considered.

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