scholarly journals Surface, Distance, Depth: The Text and its Outside

2021 ◽  
pp. 175-202
Author(s):  
Simon Schleusener
Keyword(s):  
Surface Distance

Self-Assembled Fluid Phase Floating Membranes with Tuneable Water Interlayers

2019 ◽  
Author(s):  
Luke Clifton ◽  
Nicoló Paracini ◽  
Arwel V. Hughes ◽  
Jeremy H. Lakey ◽  
Nina-Juliane Seinke ◽  
...  
Keyword(s):  
Fluid Phase ◽  
Interlayer Thickness ◽  
Supported Bilayers ◽  
Self Assembled Monolayer ◽  
High Coverage ◽  
Nano Technology ◽  
Surface Distance ◽  
Potential Applications ◽  
Self Assembled ◽  
Coated Surfaces

<p>We present a reliable method for the fabrication of fluid phase unsaturated bilayers which are readily self-assembled on charged self-assembled monolayer (SAM) surfaces producing high coverage floating supported bilayers where the membrane to surface distance could be controlled with nanometer precision. Vesicle fusion was used to deposit the bilayers onto anionic SAM coated surfaces. Upon assembly the bilayer to SAM solution interlayer thickness was 7-10 Å with evidence suggesting that this layer was present due to SAM hydration repulsion of the bilayer from the surface. This distance could be increased using low concentrations of salts which caused the interlayer thickness to enlarge to ~33 Å. Reducing the salt concentration resulted in a return to a shorter bilayer to surface distance. These accessible and controllable membrane models are well suited to a range of potential applications in biophysical studies, bio-sensors and Nano-technology.</p><br>

scholarly journals Learning by Doing: The Use of Distance, Corners and Length in Rewarded Geometric Tasks by Zebrafish (Danio rerio)

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2001
Author(s):  
Greta Baratti ◽  
Angelo Rizzo ◽  
Maria Elena Miletto Petrazzini ◽  
Valeria Anna Sovrano
Keyword(s):  
Danio Rerio ◽  
Three Dimensional ◽  
Reference Memory ◽  
Spatial Abilities ◽  
Learning By Doing ◽  
Surface Distance ◽  
Extended Surfaces ◽  
Unequal Length ◽  
Over Time

Zebrafish spontaneously use distance and directional relationships among three-dimensional extended surfaces to reorient within a rectangular arena. However, they fail to take advantage of either an array of freestanding corners or an array of unequal-length surfaces to search for a no-longer-present goal under a spontaneous cued memory procedure, being unable to use the information supplied by corners and length without some kind of rewarded training. The present study aimed to tease apart the geometric components characterizing a rectangular enclosure under a procedure recruiting the reference memory, thus training zebrafish in fragmented layouts that provided differences in surface distance, corners, and length. Results showed that fish, besides the distance, easily learned to use both corners and length if subjected to a rewarded exit task over time, suggesting that they can represent all the geometrically informative parts of a rectangular arena when consistently exposed to them. Altogether, these findings highlight crucially important issues apropos the employment of different behavioral protocols (spontaneous choice versus training over time) to assess spatial abilities of zebrafish, further paving the way to deepen the role of visual and nonvisual encodings of isolated geometric components in relation to macrostructural boundaries.

scholarly journals Spontaneous Reorientation Is Guided by Perceived Surface Distance, Not by Image Matching Or Comparison

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e51373 ◽  
Author(s):  
Sang Ah Lee ◽  
Nathan Winkler-Rhoades ◽  
Elizabeth S. Spelke
Keyword(s):  
Image Matching ◽  
Surface Distance

The Dependence of Build-Up Ratio on the Field Size and the Source-Surface Distance

Radiology ◽  
1965 ◽  
Vol 85 (5) ◽  
pp. 956-958
Author(s):  
Thomas Ashton ◽  
Jiri Zamecnik
Keyword(s):  
Field Size ◽  
Source Surface ◽  
Surface Distance

scholarly journals Analisis Keluaran Berkas Radiasi Sinar-X Pesawat Terapi LINAC Berdasarkan TRS 398 IAEA Pada Fantom Air Di Instalasi Radioterapi RS Universitas Andalas

2018 ◽  
Vol 10 (2) ◽  
pp. 83-88
Author(s):  
Dian Milvita ◽  
Alimin Mahyudin ◽  
Mona Vadila
Keyword(s):  
Linear Acceleration ◽  
Surface Distance

Telah dilakukan penelitian tentang analisis keluaran berkas sinar-X pesawat terapi linear acceleration (LINAC) pada fantom air.  Analisis ini bertujuan untuk mengetahui kondisi pesawat terapi LINAC selama digunakan dengan mengacu pada nilai 1 cGy sama dengan 1 MU.  Penelitian dilakukan dengan cara menganalisis muatan yang ditangkap oleh detektor ionisasi chamber dengan faktor koreksi suhu, tekanan, efek polaritas dan rekombinasi ion.  Penelitian dilakukan dengan variasi energi 6 MV dan 10 MV dengan ukuran luas lapangan penyinaran (10 x 10) cm dan teknik penyinaran Source to Surface Distance (SSD) 100 cm. Hasil analisis menunjukkan bahwa pada berkas sinar-X energi 6 MV dan 10 MV didapatkan nilai keluaran per 1 MU sebesar 1,026 cGy dan 1,025 cGy dengan deviasi pengukuran 2,60 % dan 2,56 %, nilai ini masih berada dalam rentang toleransi pengukuran yaitu ± 3 %.  Dengan demikian, keluaran berkas radiasi sinar-X pesawat terapi LINAC di Rumah Sakit Universitas Andalas (RS Unand) telah sesuai standar TRS 398 IAEA.Kata kunci: berkas sinar-X, fantom air, LINAC, RS Unand

scholarly journals Mixup (Sample Pairing) Can Improve the Performance of Deep Segmentation Networks

2021 ◽  
Vol 12 (1) ◽  
pp. 29-39
Author(s):  
Lars J. Isaksson ◽  
Paul Summers ◽  
Sara Raimondi ◽  
Sara Gandini ◽  
Abhir Bhalerao ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Medical Image ◽  
Data Augmentation ◽  
Image Data ◽  
Magnetic Resonance Images ◽  
Medical Image Segmentation ◽  
Dice Similarity Coefficient ◽  
Surface Distance ◽  
Experienced Radiologist ◽  
Generalization Problem

Abstract Researchers address the generalization problem of deep image processing networks mainly through extensive use of data augmentation techniques such as random flips, rotations, and deformations. A data augmentation technique called mixup, which constructs virtual training samples from convex combinations of inputs, was recently proposed for deep classification networks. The algorithm contributed to increased performance on classification in a variety of datasets, but so far has not been evaluated for image segmentation tasks. In this paper, we tested whether the mixup algorithm can improve the generalization performance of deep segmentation networks for medical image data. We trained a standard U-net architecture to segment the prostate in 100 T2-weighted 3D magnetic resonance images from prostate cancer patients, and compared the results with and without mixup in terms of Dice similarity coefficient and mean surface distance from a reference segmentation made by an experienced radiologist. Our results suggest that mixup offers a statistically significant boost in performance compared to non-mixup training, leading to up to 1.9% increase in Dice and a 10.9% decrease in surface distance. The mixup algorithm may thus offer an important aid for medical image segmentation applications, which are typically limited by severe data scarcity.

scholarly journals Perancangan Sistem Monitoring Ketinggian Air Sebagai Pendeteksi Banjir Berbasis IoT Menggunakan Sensor Ultrasonik

2020 ◽  
Vol 4 (1) ◽  
pp. 117
Author(s):  
Nicko Pratama ◽  
Ucuk Darusalam ◽  
Novi Dian Nathasia
Keyword(s):  
Surface Water ◽  
Rainy Season ◽  
Water Surface ◽  
Reading Error ◽  
The Public ◽  
Surface Distance ◽  
Distance Data ◽  
Flood Detection ◽  
Level Monitoring ◽  
Water Level Monitoring

High rainfall in the rainy season can last about six months, this makes it rain continuously and cause an increase in the volume of water that has the potential for flooding. While the public does not get information or notice directly when it will happen. To anticipate these problems, the design of a water level monitoring system as an early flood detection based on IoT is considered efficient. The system will detect the distance of the sensor to the surface of the water, if the distance of the surface water approaches the sensor, the system will sound the siren as a sign of flooding. The system will display the alert status that occurs and the water surface distance in realtime.. From 100 data of water surface distance with ultrasonic sensors that have been tested, get 6 times the distance reading error. In testing of several water surface distances with sensors, the system can store all distance data into a database.

scholarly journals A multi-resolution surface distance model for k-NN query processing

2007 ◽  
Vol 17 (5) ◽  
pp. 1101-1119 ◽  
Author(s):  
Ke Deng ◽  
Xiaofang Zhou ◽  
Heng Tao Shen ◽  
Qing Liu ◽  
Kai Xu ◽  
...  
Keyword(s):  
Query Processing ◽  
Surface Distance ◽  
Distance Model

scholarly journals Enzyme Immobilization on Polymer Membranes: A Quantum and Molecular Mechanics Study

Computation ◽  
2019 ◽  
Vol 7 (4) ◽  
pp. 56 ◽  
Author(s):  
Francesco Petrosino ◽  
Stefano Curcio ◽  
Sudip Chakraborty ◽  
Giorgio De Luca
Keyword(s):  
Binding Site ◽  
Membrane Surface ◽  
Enzymatic Catalysis ◽  
Polymer Surface ◽  
Polymer Membranes ◽  
Computational Approach ◽  
Surface Charges ◽  
Polysulfone Membrane ◽  
Surface Distance ◽  
Adsorption Energies

Adsorption of the phosphotriesterase on a polysulfone membrane surface was investigated in this paper through a double-scale computational approach. Surface charges of the enzyme, as well as membrane, were calculated at sub and nanoscale while protein adsorption was simulated at larger scale. Adsorption energies were calculated as a function of the enzyme–surface distance, and for each distance, several protein rotations were tested to find the most stable orientations of the macromolecule. The results of this model were useful in obtaining information about the adhesion of the enzyme and to give indications on the orientations of its binding site. Adsorption energies agreed with the literature data. Furthermore, the binding site of the immobilized phosphotriesterase was less accessible with respect to native enzymes due to the steric hindrance of the polymer surface; thus, a reduction of its efficiency is expected. The proposed methodology made use of fundamental quantities, calculated without resorting to adjustable or empirical parameters, providing basic outputs useful for ascertaining enzymatic catalysis rate.

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