scholarly journals Data Exploration and Reconnaissance to Identify Ocean Phenomena: A Guide for <i>In Situ</i> Data Collection

2016 ◽  
Vol 08 (10) ◽  
pp. 929-943
Author(s):  
Nadine Nassif ◽  
Lena Abou Jaoude ◽  
Mhamad El Hage ◽  
Cordula A. Robinson
Keyword(s):  
Data Collection ◽  
Data Exploration

Repeatability, Reproducibility, and Calibration of the MyotonPro® on Tissue Mimicking Phantoms

2013 ◽  
Author(s):  
John Dougherty ◽  
Emily Schaefer ◽  
Kalyani Nair ◽  
Joseph Kelly ◽  
Alfonse Masi
Keyword(s):  
Data Collection ◽  
Dynamic Stiffness ◽  
Correlation Study ◽  
Living Tissue ◽  
Polymeric Gel ◽  
Stiffness Properties ◽  
Tissue Phantoms ◽  
Repeatability And Reproducibility ◽  
Living Tissues

The MyotonPro® (Myoton AS, Tallinn, Estonia) is commonly used to quantify stiffness properties of living tissues in situ. Current studies quantify the dynamic stiffness properties of living tissues, but do not validate or compare these measurements to a standardized method. Additionally, living tissue, being dynamic in nature, presents much variability in data collection. To address these issues this study focuses on the repeatability and reproducibility of the MyotonPro® on polymeric gel-based tissue phantoms. In addition, a correlation study is also performed to translate dynamic stiffness to a more standardized property, Young’s modulus. Such studies help to confirm the reliability of the measurements obtained in situ.

scholarly journals Deaf Ni-Vanuatu and their signs: A sociolinguistic study

2021 ◽  
Author(s):  
◽  
Jacqueline Iseli
Keyword(s):  
Data Collection ◽  
Sign Language ◽  
Deaf People ◽  
Deaf Community ◽  
Sign Languages ◽  
Individual Variations ◽  
Field Methodology ◽  
Degree Of Similarity ◽  
Similarity Of Signs

<p>This thesis provides the first documentation and description of the signs created and used by deaf individuals in Vanuatu. The specific aims of this research were as follows: to establish the sociolinguistic context experienced by deaf people in Vanuatu; to identify the repertoire and characteristics of signs used by the deaf participants; to compare features of participants’ individual signs with the characteristics of home signs and emerging sign languages; and to consider the degree of similarity and potential similarity of signs between participants and how this reflects individuals’ opportunities for contact with other deaf people and signing interlocutors. The limitations of this study are that field methodology for data collection was developed in situ as conditions allowed. The sociolinguistic context for deaf Ni-Vanuatu confirms that language isolation leads to marginalisation from community and society. The study established that these home sign lexicons were limited in quantity and conceptual range, and that shared background knowledge was essential for comprehension. Overall, 22 handshapes were documented, and the predominant handshapes unmarked. Most participants preferred handling strategy for depicting signs. Some evidence of noun-verb distinction was noted in the repertoire of some participants. However, across this range of formational characteristics, results showed significant individual variations. Furthermore, multiple barriers have precluded development of a shared sign language and any form of deaf community.</p>

scholarly journals Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography

2020 ◽  
Author(s):  
Jonathan Bouvette ◽  
Hsuan-Fu Liu ◽  
Xiaochen Du ◽  
Ye Zhou ◽  
Andrew P. Sikkema ◽  
...  
Keyword(s):  
Data Collection ◽  
Electron Tomography ◽  
Tomographic Reconstruction ◽  
Beam Image ◽  
Geometrical Constraints ◽  
Order Of Magnitude ◽  
Biological Environment ◽  
Map Resolution ◽  
Resolution Single

ABSTRACTTomographic reconstruction of cryopreserved specimens imaged in an electron microscope followed by extraction and averaging of sub-volumes has been successfully used to derive atomic models of macromolecules in their biological environment. Eliminating biochemical isolation steps required by other techniques, this method opens up the cell to in-situ structural studies. However, the need to compensate for errors in targeting introduced during mechanical navigation of the specimen significantly slows down tomographic data collection thus limiting its practical value. Here, we introduce protocols for tilt-series acquisition and processing that accelerate data collection speed by an order of magnitude and improve map resolution by ~1-3 Å compared to existing approaches. We achieve this by using beam-image shift to multiply the number of areas imaged at each stage position, by integrating geometrical constraints during imaging to achieve high precision targeting, and by performing per-tilt astigmatic CTF estimation and data-driven exposure weighting to improve final map resolution. We validated our beam image-shift electron cryo-tomography (BISECT) approach by determining the structure of a low molecular weight target (~300kDa) at 3.6 Å resolution where density for individual side chains is clearly resolved.

In-situ data collection at the photon factory macromolecular crystallography beamlines

2016 ◽  
Author(s):  
Yusuke Yamada ◽  
Masahiko Hiraki ◽  
Naohiro Matsugaki ◽  
Ryuichi Kato ◽  
Toshiya Senda
Keyword(s):  
Data Collection ◽  
Macromolecular Crystallography ◽  
Photon Factory ◽  
In Situ Data

A Simulation Study of Wireless Network Performance

2014 ◽  
Vol 679 ◽  
pp. 176-183
Author(s):  
Ahmad Zulhusny Rozali ◽  
Robert Stewart ◽  
Sean Kennedy
Keyword(s):  
Data Collection ◽  
Real Time ◽  
Wireless Network ◽  
Simulation Study ◽  
Network Performance ◽  
Early Stage ◽  
Reliable Data ◽  
Future Research ◽  
Area Of Interest

WSN technology has now become ubiquitous due to its flexibility, efficiency and affordability. For example the nodes in a WSN can be easily deployed in any targeted area and last for many years. The nodes can supply reliable data from within the environment with minimal disturbance to the target area.However challenges remain in providing real-time communication in some communication hostile conditions. It may not always be possible to leave the sensors in situ but instead data collection is through the use of mobile a WSN. For example as a vehicle fitted with sensing devices passes through an area of interest data is collected and relayed at certain gateway nodes back to a backhaul network for processing.In this paper our aim is to analyse the interference caused by a mobile jammer node to the stationary transmitter and receiver nodes in a network by using the OPNET Modeler software. This is early stage work aimed at developing a mobile WSN node in our future research.

scholarly journals Chemical sensors for in situ data collection in the cryosphere

2016 ◽  
Vol 82 ◽  
pp. 348-357 ◽  
Author(s):  
Elizabeth A. Bagshaw ◽  
Alexander Beaton ◽  
Jemma L. Wadham ◽  
Matt Mowlem ◽  
Jon R. Hawkings ◽  
...  
Keyword(s):  
Data Collection ◽  
Chemical Sensors ◽  
In Situ Data

scholarly journals Modelling In-situ Factors Affecting Bud’s Growth of Rafflesia kerrii Meijer in Lojing Highlands, Kelantan, Peninsular Malaysia

2021 ◽  
Vol 29 (2) ◽  
Author(s):  
Abdul Hamid Mar Iman ◽  
Nor Hizami Hassin ◽  
Muhamad Azahar Abas ◽  
Zulhazman Hamzah
Keyword(s):  
Data Collection ◽  
Ecological Factors ◽  
Geographic Area ◽  
Ordinary Least Squares ◽  
Peninsular Malaysia ◽  
In Situ Observation ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Consistent Error

Studies on the statistical approach to analyzing growth factors of bud’s growth in the genus Rafflesia have been lacking. This study quantified the effects of eight selected ecological factors hypothesized to be influencing bud’s growth (diameter and circumference) of Rafflesia kerrii Meijer. A non-experimental cross-sectional data collection was conducted between April and August 2018 by in-situ observation and measurements on eight ecological factors utilizing thirty-four sampled individual plants in Lojing Highlands, Kelantan, Peninsular Malaysia. The Ordinary Least Squares (OLS) and Heteroscedasticity-Consistent- Error (HCE) OLS regression models were employed to establish the statistical relationship between bud’s growth and its influencing factors. Host plant’s ecological ability, level of temperature, light shading, soil acidity, and interaction between plant survival condition and growth stage were found to be the significant and influential ecological factors to bud’s growth of Rafflesia kerrii. The results also showed that, model wise, HCE OLS models outperformed the OLS models in explaining the cause-and-effect relationship under study. Due to some limitations in sampling and data collection, further studies were recommended to corroborate this study using a larger sample covering a larger geographic area – possibly across different localities.

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