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Preprint ARTICLE | doi:10.20944/preprints201807.0516.v1

Refining Land-Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very-High-Resolution Remote Sensing Images

Cui Guo Qing, Lv Zhi Yong, Li GuangFei, Jón Atli Benediktsson, Lu Yu Dong

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: land-cover classification; very high spatial resolution remote sensing image; adaptive majority vote; post-classification.

Online: 26 July 2018 (15:05:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0833.v1

SAINet: Spatially Adaptive Interaction Network for Semantic Segmentation of High-Resolution Remote Sensing Images

Weidong Song, Huan He, Jiguang Dai, Guohui Jia, Jiakai Fan

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: remote sensing; spatially adaptive; semantic segmentation; high-resolution; interaction

Online: 14 March 2024 (09:37:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.0137.v1

Carbon Saving Potential of Urban Parks in the Central Plains City: A High Spatial Resolution Study Using a Forest City, Shangqiu, China as a Lens

Jianwei Gao, Haiting Han, Shidong Ge

Subject: Social Sciences, Urban Studies And Planning Keywords: urban park; carbon saving potential; high spatial resolution; Shangqiu

Online: 2 June 2023 (05:22:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints201811.0162.v1

A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data

Chunming Wu, Xiao Li, Weitao Chen, Xianju Li

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: High-spatial-resolution images; Geology; Deep learning; Remote sensing

Online: 7 November 2018 (13:17:40 CET)

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Preprint REVIEW | doi:10.20944/preprints202305.1293.v1

Recent Developments in High Spatio-Temporal Image-Based Tracking of Proteins in Subcellular Spatial Proteomics Applications

Wenfa Ng

Subject: Biology And Life Sciences, Life Sciences Keywords: spatial proteomics; spatial resolution; temporal resolution; super-resolution microscopy; fluorescence microscopy,

Online: 18 May 2023 (07:54:20 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202312.0173.v1

Design for Ultrafast Raster Photography with Large Amount of Spatio-Temporal Information

Yongle Zhu, xuanke Zeng, Weijun Ling, Liangwei Zeng, Yuxiang Zhao, Jinfang Yang, Jingzhen Li

Subject: Physical Sciences, Optics And Photonics Keywords: high-speed photography; spatial resolution; frame rate; the raster principle

Online: 4 December 2023 (15:11:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints201802.0169.v1

Comparing Methods of Rocky Desertification Monitoring at the Sub-pixel Scale in a Highly Heterogeneous Karst Region

Xiangkun Qi, Chunhua Zhang, Kelin Wang

Subject: Environmental And Earth Sciences, Environmental Science Keywords: rocky desertification; MESMA; high spatial resolution; landscape heterogeneity; topographic effects

Online: 27 February 2018 (03:22:59 CET)

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Karst rocky desertification (KRD) is a process where strong anthropogenic disturbances and exposure of carbonate bedrock occurs in fragile karst ecosystems. The fractional cover of rocky outcrops is a key indicator and mechanistic driver of KRD and can be accurately assessed using remote sensing technology. Nevertheless, rugged karst terrain relief can cause shadow effects on satellite imagery and combine with high heterogeneity of karst landscapes to prevent fractional cover retrievals. In this study, we explored the feasibility of applying multispectral high spatial resolution ALOS imagery for fractional cover extraction of rocky outcrops. We selected the dimidiate pixel model (DPM), which has been applied in previous studies, and spectral mixture analysis (SMA; including simple endmember spectral mixture analysis (SESMA) and multiple endmember spectral mixture analysis (MESMA)) to explore the feasibility of using remote images for KRD monitoring and improve accuracy for estimating fractions. Results from MESMA achieved high overall accuracy (76.4%) in monitoring percentage of rocky outcrop fraction in the study area. SESMA appears to underestimate percentage of rocky outcrop likely because the development of KRD was driven by complex factors (soil erosion, dissolution and anthropogenic disturbances). This results in spectral reflectance of rocky outcrop being variable in different settings. Predicted exposed bedrock coverage using SESMA and MESMA was similar in sun-lit and shaded areas although predictions from SESMA were smaller than reference data. DPM underestimated the fractional cover of rocky outcrops on south-facing slopes and overestimated it in shaded areas. Furthermore, SESMA and MESMA effectively reduced topographic effects. We conclude that it is better to extract percentage of rocky outcrop using MESMA in the karst region of southwestern China. Remote sensing is emerging as a feasible method to extract surface condition information in heterogeneous and rugged landscapes.

Preprint ARTICLE | doi:10.20944/preprints201703.0134.v1

Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification

Zhiyong Lv, Penglin Zhang, Jón Atli Benediktsson

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: spatial-spectral feature; very high spatial resolution image; classification; Tobler’s First Law of Geography

Online: 17 March 2017 (05:06:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0098.v1

Multiscale Mapping of the Salt Marshes Using Sentinel-2, Dove and UAV Imagery in the Bay of Mont-Saint-Michel

Antoine Collin, Dorothée James, Antoine Mury, Mathilde Letard, Thomas Houet, Hélène Gloria, Eric Feunteun

Subject: Biology And Life Sciences, Biophysics Keywords: spatiotemporal analysis; high to ultra high spatial resolution; high to very high temporal resolution; NDVI; NIR; neural network modelling, Bay of Mont-Saint-Michel

Online: 4 November 2021 (09:35:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0061.v1

Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images

Mi Zhang, Xiangyun Hu, Like Zhao, Ye Lv, Min Luo, Shiyan Pang

Subject: Engineering, Electrical And Electronic Engineering Keywords: semantic segmentation; deep convolutional neural networks; manifold ranking; single stream optimization; high resolution image

Online: 11 April 2017 (10:27:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0556.v1

Super-Resolution of Sentinel-2 Images at 10m Resolution without Reference Images

Yunhe Li, Bo Li

Subject: Engineering, Automotive Engineering Keywords: super-resolution; generative adversarial network; Sentinel-2

Online: 21 April 2021 (08:25:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202206.0426.v1

High-Temporal-Resolution Object Detection and Tracking using Images and Events

Zaid El Shair, Samir A. Rawashdeh

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: event-based vision; object detection and tracking; high-temporal resolution tracking; frame-based vision; hybrid approach

Online: 30 June 2022 (09:54:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202110.0362.v1

Effects of Different Parameter Settings for 3D Data Smoothing and Mesh Simplification on Towards Near Real-Time 3D Reconstruction of High Resolution Bioceramic Bone Void Filling Medical Images

Daniel Jie Yuan Chin, Ahmad Sufril Azlan Mohamed, Khairul Anuar Shariff, Mohd Nadhir Ab Wahab, Kunio Ishikawa

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: 3D reconstruction; 3D data smoothing; mesh simplification; high resolution micro-CT images

Online: 25 October 2021 (15:34:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.2150.v1

Super-resolution Reconstruction of Particleboard Images Based on Improved SRGAN

Wei Yu, Haiyan Zhou, Ying Liu, Yutu Yang, Yinxi Shen

Subject: Biology And Life Sciences, Forestry Keywords: particleboard; super-resolution reconstruction; generate adversarial networks; defect

Online: 31 August 2023 (09:58:34 CEST)

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As a high-quality forestry product with excellent performance, particleboard is widely used in many fields and has great market potential. At present, it is a research difficulty to accurately identify small, fine and different shapes of defects on the whole particleboard through machine vision technology. The application of image super-resolution reconstruction technology on particleboard can improve the surface image quality of particleboard, which is conducive to the subsequent improvement of defect detection accuracy. In this study, super-resolution dense attention generative adversarial network (SRDAGAN) model was improved to solve the problem that super-resolution generative adversarial network (SRGAN) reconstructed image would produce artifacts and its performance needed to be improved. The Batch Normalization (BN) layer was removed, the convolutional block attention module (CBAM) was optimized to construct dense block, and the dense blocks were constructed by densely skip connection. Then, the corresponding 52400 image blocks with high resolution and low resolution were trained, verified and tested according to the ratio of 3:1:1. The model was comprehensively evaluated from the effect of image reconstruction and the two indexes of PSNR and SSIM. It was found that compared with BICUBIC and SRGAN, PSNR index of SRDAGAN increased by 4.88dB and 3.25dB respectively, and SSIM increased by 0.0507 and 0.1122 respectively. The reconstructed images not only had clearer texture, but also had more realistic expression of various features, and the performance of the model had been greatly improved. At the same time, this study also emphatically discussed on the image reconstruction effect with defects. The result showed that the SRDAGAN proposed in this study can complete the super-resolution reconstruction of particleboard images with high quality. In the future, it can also be further combined with defect detection for actual production to improve the quality of forestry products and increase economic benefits.

Preprint ARTICLE | doi:10.20944/preprints202101.0345.v1

Modified Crack Detection of Sewer Conduit with Low Resolution Images

Byung Jik Son, Taejun Cho

Subject: Computer Science And Mathematics, Computer Science Keywords: image processing; low resolution image; crack detection; user algorithm

Online: 18 January 2021 (14:26:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0134.v1

The Suitability of the Satellite Metrological Inputs Source on the Hydrological Model in a Small Urban Catchment

Song Song, Youpeng Xu, Jiali Wang, Jinkang Du, Jianxin Zhang, Qiang Wang

Subject: Environmental And Earth Sciences, Environmental Science Keywords: spatial resolution; interpolation method; CREST model; Qinhuai catchment

Online: 13 August 2016 (04:28:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0098.v2

A Conversion Method to Determine Regional Vegetation Cover Factor from Standard Plots based on Large Sample Theory and TM Images: A Case Study in the Eastern Farming-pasture Ecotone of Northern China

Degen Lin, Yuan Gao, Yaoyao Wu, Peijun Shi, Huiming Yang, Jing’ai Wang

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: farming-pasture ecotone; TM image; remote sensing; vegetation cover factor; scale conversion; land use; high resolution image

Online: 21 September 2017 (16:33:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0333.v1

ATmospheric LIDar (ATLID): European Space Agency Instrument Ready to Measure Aerosols and Thin Clouds in Atmosphere

João Pereira do Carmo, Geraud de Villele, Kotska Wallace, Alain Lefebvre, Kaustav Ghose, Thomas Kanitz, François Chassat, Bertrand Corselle, Thomas Belhadj, Paolo Bravetti

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: LIDAR; UV laser; high spectral resolution; aerosols

Online: 14 December 2020 (13:11:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202006.0111.v1

A Novel Family of Quadrupole-Orbitrap Mass Spectrometers for a Broad Range of Analytical Applications

Jan-Peter Hauschild, Amelia Corinne Peterson, Erik Couzijn, Eduard Denisov, Denis Chernyshev, Christian Hock, Hamish Stewart, Ralf Hartmer, Dmitry Grinfeld, Christian Thoeing, Bastian Reitemeier, Arne Kreutzmann, Oliver Lange, Wilko Balschun, Aivaras Venckus, Sebastian Kanngiesser, Alexander Kholomeev, Gregor Quiring, Frank Czemper, Eloy Wouters, Michael Belford, Mathias Mueller, Jens Grote, Tabiwang N. Arrey, Julia Kraegenbring, Kerstin Strupat, Siegrun Mohring, Catharina Crone, Alexander Harder, Aaron Robitaille, Aaron Gajadhar, Khatereh Motamed, Yang Liu, Daniel Lopez Ferrer, Nicolaie Eugen Damoc, Angela Criscuolo, Kristina Srzentic, Ed George, Charles Yang, Ioanna Ntai, Amanda Souza, Andreas Wieghaus, Alexander Makarov

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Orbitrap mass spectrometry; high resolution; accurate mass

Online: 8 June 2020 (10:17:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0137.v1

An Efficient and High-Resolution Topology Optimization Method Based on Convolutional Neural Networks

Liang Xue, Jie Liu, Guilin Wen, Hongxin Wang

Subject: Computer Science And Mathematics, Mathematics Keywords: topology optimization; convolutional neural network; high-resolution

Online: 12 October 2019 (03:56:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints201806.0308.v1

Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review

Gerald M. Lohmann

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: irradiance variability, high-resolution measurements, increment statistics

Online: 19 June 2018 (17:10:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0209.v1

Making Low-Resolution Satellite Images Reborn: A Deep Learning Approach for Super-Resolution Building Extraction

Lixian Zhang, Runmin Dong, Shuai Yuan, Weijia Li, Juepeng Zheng, Haohuan Fu

Subject: Environmental And Earth Sciences, Environmental Science Keywords: remote sensing imagery; building extraction; super-resolution; deep learning.

Online: 29 July 2021 (11:08:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0237.v1

Added Value of Aerosol Observations of the Future AOS High Spectral Resolution Lidar with Respect to a Classic Backscatter Spaceborne Lidar Measurements

Flavien Cornut, Laaziz El Amraoui, Juan Cuesta, Jérôme Blanc

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Atmospheric-Observing-System; Aerosol; High-Spectral-Resolution-lidar

Online: 13 December 2022 (09:51:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1459.v1

Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions

Laura A Santos, Hao-Yun Hsu, Sachin Jambawalikar, Ronald Nelson, Brendan Sullivan, Jaemin Shin, Maggie Fung, R. Marc Lebel, Diego Jaramillo

Subject: Medicine And Pharmacology, Other Keywords: diffusion tensor imaging; spatial resolution; denoising; pediatrics; growth; voxel size

Online: 26 February 2024 (14:18:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.0205.v1

High Resolution Computed Tomography in Middle ear Cholesteatoma: How Much do We Need it?

Eugen Horatiu Stefanescu, Nicolae Constantin Balica, Sorin Bogdan Motoi, Laura Grigorita, Madalina Georgescu, Gheorghe Iovanescu

Subject: Medicine And Pharmacology, Otolaryngology Keywords: High resolution computed tomography; cholesteatoma surgery; very good correlation

Online: 5 September 2023 (03:20:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0289.v1

Sphingolipidome Quantification by Liquid Chromatography- High Resolution Mass Spectrometry: Whole Blood vs. Plasma

Dezhen Wang, Peining Xu, Clementina Mesaros

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: sphingolipidome; ceramides; high resolution mass spectrometry; whole blood; plasma

Online: 10 March 2021 (16:06:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0635.v1

Ex-situ and In-situ Microstructure Investigations of AM Part and Powders

M. Albu, S. Mitsche, M. Nachtnebel, R. Krisper, M. Dienstleder, H. Kothleitner, G. Kothleitner

Subject: Chemistry And Materials Science, Chemical Engineering Keywords: Powder; AlSiMg; Ti64; N700; microstructure; high-resolution electron microscopy

Online: 29 January 2021 (17:21:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0615.v1

An Alternative Technique for Ultra-high Resolution Bathymetry and Seabed Inspection for Marine Renewables

Francisco Gemo Albino Francisco, Jan Sundberg

Subject: Engineering, Marine Engineering Keywords: Bathymetry; marine renewables; seabed inspection; high resolution survey; sonar

Online: 25 July 2020 (17:01:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0169.v1

Pilot Attempt to Benchmark Spatial Resolution of an Electronic Imaging System Prototype for In-Process Electron Beam Melting Monitoring

Hay Wong, Derek Neary, Eric Jones, Peter Fox, Chris Sutcliffe

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: electron beam melting; in-process monitoring; quality control; electronic imaging; spatial resolution

Online: 17 January 2019 (02:53:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0059.v1

Average Generalized Ambiguity Function Analysis for Passive Bistatic SAR Systems Using PSK Modulating Signal

Zhiping Yin, Lei Zhang, Jinbao Xie, Jun Yang, Guangsheng Deng, Zhaoxian Zeng

Subject: Engineering, Other Keywords: average generalized ambiguity function; passive bistatic SAR; PSK modulating signal; spatial resolution

Online: 10 October 2017 (07:56:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1157.v1

Evaluation of Anal Sphincter With High Resolution Anorectal Manometry and 3D Reconstruction in Patients With Anorectal Malformation

Anna Maria Caruso, Denisia Bommarito, Vincenza Girgenti, Glenda Amato, Ugo Calabrese, Adele Figuccia, Fabio Baldanza, Francesco Grasso, Emanuela Giglione, Alessandra Casuccio, Mario Pietro Marcello Milazzo, Maria Rita Di Pace

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: anorectal malformations; high resolution anorectal manometry; fecal incontinence; bowel management

Online: 16 May 2023 (10:48:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0164.v2

A High Resolution Spatiotemporal Fine Particulate Matter Exposure Assessment Model for the Contiguous United States

Cole Brokamp

Subject: Environmental And Earth Sciences, Environmental Science Keywords: fine particulate matter; exposure assessment; machine learning; spatiotemporal; high resolution

Online: 17 December 2021 (14:46:46 CET)

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Currently available nationwide prediction models for fine particulate matter (PM_2.5) lack prediction confidence intervals and usually do not describe cross validated model performance at different spatiotemporal resolutions and extents. We used 41 different spatiotemporal predictors, including data on land use, meteorology, aerosol optical density, emissions, wildfires, population, traffic, and spatiotemporal indicators to train a machine learning model to predict daily averages of PM_2.5 concentrations at 0.75 sq km resolution across the contiguous United States from 2000 through 2020. We utilized a generalized random forest model that allowed us to generate asymptotically-valid prediction confidence intervals and took advantage of its usefulness as an ensemble learner to quickly and cheaply characterize leave-one-location-out CV model performance for different temporal resolutions and geographic regions. Using a variable importance metric, we selected 8 predictors that were able to accurately predict daily PM_2.5, with an overall leave-one-location-out cross validated median absolute error of 1.20 ug/m³, an R² of 0.84, and confidence interval coverage fraction of 95%. When considering aggregated temporal windows, the model achieved leave-one-location-out cross validated median absolute errors of 0.99, 0.76, 0.63, and 0.60 ug/m³ for weekly, monthly, annual, and all-time exposure assessments, respectively. We further describe the model’s cross validated performance at different geographic regions in the United States, finding that it performs worse in the Western half of the country where there are less monitors. The code and data used to create this model are publicly available and we have developed software packages to be used for exposure assessment. This accurate exposure assessment model will be useful for epidemiologists seeking to study the health effects of PM across the continental United States, while possibly considering exposure estimation accuracy and uncertainty specific to the the spatiotemporal resolution and extent of their study design and population.

Preprint ARTICLE | doi:10.20944/preprints201807.0383.v1

On the Very High-Resolution Radar Image Statistics of the Exponential Correlated Rough Surface: Experimental and Numerical Studies

Ming Jin, Kun-Shan Chen, Dengfeng Xie

Subject: Physical Sciences, Applied Physics Keywords: SAR speckle; rough surface scattering; exponential correlation; very high resolution

Online: 20 July 2018 (12:52:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0152.v1

An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the North Hemisphere in March 2014

Bertrand Bessagnet, Laurent Menut, Augustin Colette, Florian Couvidat, Mo Dan, Sylvain Mailler, Laurent Létinois, Véronique Pont, Laurence Rouïl

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Dust; High resolution; Particulate matter; Modeling; Air quality; Hemispheric transport

Online: 24 October 2017 (04:27:48 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202303.0042.v1

Structured Illumination Microscopy Improves Spot Detection Performance in Spatial Transcriptomics

Alejandro Linares, Carlo Brighi, Sergio Espinola, Francesco Bacchi, Álvaro H. Crevenna

Subject: Biology And Life Sciences, Biophysics Keywords: Structured illumination; Spatial transcriptomics; Super-resolution; Gene expression; In situ sequencing; Deconvolution microscopy

Online: 2 March 2023 (10:42:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.2050.v1

T. vaginalis: Monolayer and cluster formation - ultrastructural aspects using HR-SEM

Sharmila Ortiz, Raphael Verdan, Fabio da Silva de Azevedo Fortes, Marlene Benchimol

Subject: Biology And Life Sciences, Parasitology Keywords: anaerobic parasites; pathogenicity; cell communication; cadherins; high-resolution SEM; Trichomonas adhesion.

Online: 3 October 2023 (03:48:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0484.v1

Dynamics of Cyanobacterial Global Metabolom in Response to Light and Temperature Variations

Damien Le Moigne, Justine Demay, Anita Reinhardt, Cécile Bernard, Sandra Kim Tiam, Benjamin Marie

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: cyanobacteria; metabolomics; high-resolution mass spectrometry; secondary metabolite induction; culture conditions

Online: 25 August 2021 (10:48:20 CEST)

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Working Paper ARTICLE

Effects of Temporary Color Steel Buildings on Urban Development and Urban Space Form in China

Shuwen Yang, Haowen Yan, Yikun Li, Yi He

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: color steel buildings; urban space form; high-resolution satellite imagery; Lanzhou

Online: 1 April 2019 (13:56:58 CEST)

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Preprint REVIEW | doi:10.20944/preprints201804.0300.v1

Advances and Perspectives in Chemical Imaging in Cellular Environments Using Electrochemical Methods

Robert A. Lazenby, Ryan J. White

Subject: Chemistry And Materials Science, Electrochemistry Keywords: SEPM; SECM; SICM; biosensors; high-resolution imaging; ion channels; microelectrode arrays

Online: 23 April 2018 (17:30:49 CEST)

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Preprint REVIEW | doi:10.20944/preprints202402.1281.v1

Single-Cell RNA Sequencing, Current Progresses and Future Perspectives

Getnet Molla Desta, Alemayehu Godana Birhanu

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Single cell RNA sequencing; Transcriptome; high-throughput; spatial transcriptomics

Online: 22 February 2024 (15:17:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202008.0704.v1

Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale

Sami Towsif Khan, Fernando Chapa, Jochen Hack

Subject: Engineering, Civil Engineering Keywords: Green Infrastructure; urban flooding; SWMM; stormwater; neighborhood level; high resolution; Costa Rica

Online: 31 August 2020 (05:07:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0074.v1

Geomorphometric Methods for Burial Mound Recognition and Extraction from High Resolution LiDAR DEMs

Mihai Niculita

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: archaeological topography; tumulus; burial mound; geomorphometry; high-resolution; DEM; LiDAR; Random Forest

Online: 6 February 2020 (02:43:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0135.v1

Flood Mitigation Techniques—A New Perspective for the Case Study of Adayar Watershed

Vidyapriya V., Ramalingam M.

Subject: Engineering, Civil Engineering Keywords: urban flood; river flood; hydrodynamic model; high resolution dem; flood mitigation measures

Online: 19 December 2017 (10:14:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0120.v1

Large Scale Screening of Southern African Plant Extracts for the Green Synthesis of Gold Nanoparticles using Microtitre-Plate Method

Abdulrahman M. Elbagory, Christopher N. Cupido, Mervin Meyer, Ahmed Hussein

Subject: Chemistry And Materials Science, Other Keywords: green nanotechnology; gold nanoparticles; biosynthesis; high resolution transmission electron microscopy; Cape flora

Online: 11 August 2016 (09:53:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0581.v1

Multiscale Very-High Resolution Topographic Models in Alpine Ecology: Pros and Cons of Airborne LiDAR and Drone-Based Stereo-Photogrammetry Technologies

Annie S. Guillaume, Kevin Leempoel, Estelle Rochat, Aude Rogivue, Michel Kasser, Felix Gugerli, Christian Parisod, Stéphane Joost

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Alpine ecology; Arabis alpina; Digital Elevation Models (DEMs); Light Detection and Ranging (LiDAR); Multiscale; Photogrammetry; Spatial scale; Species distribution models (SDM); Terrain attributes; Very-high resolution

Online: 24 March 2021 (12:30:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.1631.v1

Sensitivity of Optical Satellites to Estimate Windthrow Tree-Mortality in a Central Amazon Forest

Luciano Emmert, Robinson Isaac Negrón-Juárez, Jeffrey Quintin Chambers, Joaquim dos Santos, Adriano José Nogueira Lima, Susan Trumbore, Daniel Magnabosco Marra

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: blowdowns; crown damage; forest inventory; extreme wind gusts; natural disturbances; spatial resolution; Spectral Mixture Analysis

Online: 23 May 2023 (08:53:39 CEST)

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Windthrow (i.e., trees broken and uprooted by wind) is a major natural disturbance in the Amazon. Images from medium-resolution optical satellites (mostly Landsat) combined with extensive field data have allowed researchers to assess patterns of tree mortality and monitor forest recovery over decades of subsequent succession in different regions. Although satellites with high spatial-resolution have become available for the Amazon in the last decade, they have not yet been employed for the mapping and quantification of windthrow tree-mortality. Here, we address how increasing the spatial resolution of satellites affects plot-to-landscape estimates of windthrow tree-mortality. We combined forest inventory data with Landsat 8 (30 m pixel), Sentinel 2 (10 m), and WorldView 2 (2 m) imagery over an old-growth forest in the Central Amazon that was disturbed by a single windthrow event in November/2015. Remote sensing estimates of tree mortality were produced with Spectral Mixture Analysis and analyzed together with forest inventory data using Generalized Linear Models. Windthrow tree-mortality measured in 3 transects (30 subplots) crossing the entire disturbance gradient was 26.9 ± 11.1% (mean ± 95% CI). Based on this ground truth, the three satellites produced reliable and statistically similar estimates (from 26.5% to 30.3% windthrow tree-mortality, p<0.001). The mean-associated uncertainties decreased systematically with increasing spatial resolution (i.e., from Landsat 8 to Sentinel 2 and WorldView 2). However, the overall quality of fit of models showed the opposite pattern, which may reflect the influence of crown damage not accounted for in our field study, and fast-growing regeneration of leaf area. Among the satellites studied, Landsat 8 most accurately captured field observations of variations in tree mortality across the disturbance gradient (i.e., lower under- and/or overestimation from undisturbed to extremely damaged forest). Although satellites with high spatial-resolution can refine estimates of windthrow severity by allowing the quantification of individual tree damage and mortality, our results validate the reliability of Landsat imagery for assessing patterns of windthrow tree-mortality in dense and heterogeneous tropical forests. Although high-resolution imagery may improve estimates of tree damage and mortality, these should be validated using field data at compatible scales.

Preprint ARTICLE | doi:10.20944/preprints201607.0023.v1

Observing---and Imaging---Active Galactic Nuclei with the Event Horizon Telescope

Vincent Fish, Kazunori Akiyama, Katherine Bouman, Andrew Chael, Michael Johnson, Sheperd Doeleman, Lindy Blackburn, John Wardle, William Freeman

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies: jets---Galaxy: center---techniques: high angular resolution---techniques: image processing---techniques: interferometric

Online: 12 July 2016 (09:41:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0314.v1

ROI Detection with Machine Learning for Glottis Images Captured from High-speed Video-endoscopy

Jun Kubota, Randol Spaulding, Chi Zhu, Krzysztof Izdebski, Yuling Yan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: High-speed video-endoscopy, laryngeal image processing, glottis delineation, Machine Learning, CNN

Online: 13 November 2018 (12:57:10 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1309.v2

Irawati Nurmala Sari, Weiwei Du

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Image Completion; Image Inpainting; High-Resolution Art Painting Completion; Weighted Similarity-Confidence Laplacian Synthesis

Online: 26 February 2024 (12:13:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1577.v1

HRFNet: A Novel Hierarchical Rich-scale Fusion Network for Remote Sensing Semantic Segmentation

Haoxue Zhang, Gang Xie

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: High Resolution; Remote Sensing Image; Convolutional Neural Network; Attention Mechanism; Hierarchical Rich-scale Fusion

Online: 27 October 2023 (12:14:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0123.v1

Discovery of Environmental Nanoparticles in a Mineral Water Spring: A New Form of Elements in Mineral Water

Rui Liu, Zhiqiang Zhao, Minghui Lv, Hongwei Wang, Lixia Li, Shenting Gang, Lei Zuo, Peng Zhang, Yaqin Wang, Changsuo Li, Qianqian Lu

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: water quality; nanoparticle tracking analysis; high-resolution transmission electron microscopy; weathering byproducts; water safety

Online: 4 September 2023 (15:24:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0317.v1

Visualization and Comprehension of Electronic and Topographic Contrasts on Cooperatively Switched Diarylethene-Bridged Ditopic Ligand

Imen Hnid, Lihao Guan, Elarbi Chatir, Saioa Cobo, Frederic Lafolet, Francois Maurel, Jean-Christophe Lacroix, Xiaonan Sun

Subject: Chemistry And Materials Science, Nanotechnology Keywords: photochromic; diarylethene; bipyridine; high-resolution scanning tunneling microscopy; cooperative switches; molecular orbital; DFT calculations

Online: 24 February 2022 (13:17:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202106.0340.v1

Axial Canal Regulates the Processes of Coral Branching and Calcareous Transportation in Acropora

Yixin Li, Tingyu Han, Chunpeng He, Zuhong Lu

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Axial canal; reef-building coral; high resolution micro-computed tomography; Acropora muricata; calcareous transportation

Online: 14 June 2021 (09:21:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0313.v3

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: object detection; faster region-based convolutional neural network (FRCNN); single-shot multibox detector (SSD); super-resolution; remote sensing imagery; edge enhancement; satellites

Online: 29 April 2020 (13:33:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1306.v1

Validation of a 3D Local-Scale Adaptive Solar Radiation Model by Using Pyranometer Measurements and High-Resolution DEM

Eduardo Rodríguez, Judit García-Ferrero, Maria Sanchez-Aparicio, José Manuel Iglesias, Albert Oliver-Serra, María Jesus Santos Sánchez, Paula Andres-Anaya, José Manuel Cascón, GUSTAVO MONTERO, Alejandro Medina, Susana Lagüela, M.Isabel Asensio, Rafael Montenegro

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Solar radiation; Complex orography; Shadow calculation; LiDAR data; High-resolution DEM; Adaptive mesh; Pyranometer measurement

Online: 4 March 2024 (07:09:50 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0973.v1

Association Between Albumin Alterations and Renal Function in Patients With Type 2 Diabetes Mellitus

Marta Nugnes, Maurizio Baldassarre, Danilo Ribichini, Daniele Tedesco, Irene Capelli, Daniele Vetrano, Francesca Marchignoli, Lucia Brodosi, Enrico Pompili, Maria Letizia Petroni, Gaetano La Manna, Giulio Marchesini, Marina Naldi, Manuela Bartolini

Subject: Biology And Life Sciences, Life Sciences Keywords: diabetic kidney disease; effective albumin; reduced albumin; structural alterations; oxidative damages; high resolution mass spectrometry

Online: 12 January 2024 (04:05:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0883.v1

Assessment of the Combined Inputs of Antimicrobials from Top Soil Improvers and Irrigation Waters on Green Leafy Vegetables Fields

Carolina Barola, Gianfranco Brambilla, Roberta Galarini, Simone Moretti, Stefano Morabito

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Antimicrobials; Top Soil Improvers; Reused Waters; High Resolution Mass Spectrometry; Analysis; Hazard Index; Antimicrobial Resistance.

Online: 17 October 2023 (03:34:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0220.v1

Two-Steps Identification of N-, S-, R- and T-cytoplasm Types in Onion Breeding Lines using High Resolution Melting (HRM)-Based Markers

Ludmila Khrustaleva, Mais Nzeha, Aleksey Ermolaev, Ekaterina Nikitina, Valery Romanov

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Cytoplasmic male-sterility; High resolution melting (HRM); molecular markers; mitochondrial genes; onion (Allium cepa L.)

Online: 13 December 2022 (02:28:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0286.v1

Calcium Transport along the Axial Canal in Acropora

Yixin Li, Xin Liao, Chunpeng He, Zuhong Lu

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: axial canal; reef-building coral; high resolution micro-computed tomography; Acropora muricata; calcium transport; deposit

Online: 13 July 2021 (10:02:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0264.v1

Basal Plane Bending of Homoepitaxial MPCVD Single-crystal Diamond

Xiaotong Han, Peng Duan, Yan Peng, Xuejian Xie, Xiwei Wang, Jinying Yu, Xiufei Hu, Dufu Wang, Xiaobo Hu, Xiangang Xu

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: basal plane bending; homoepitaxial single-crystal diamond (SCD); high-resolution x-ray diffraction; growth temperature

Online: 11 August 2020 (10:14:27 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints201810.0339.v1

Better Resolution of High-Spin Cobalt Hyperfine at Low Frequency: Co-Doped Ba(Zn_1/3Ta_2/3)O₃ as a Model Complex

William E. Antholine, Shengke Zhang, Justin Gonzales, Nathan Newman

Subject: Physical Sciences, Chemical Physics Keywords: electron paramagnetic resonance; EPR; multi-frequency EPR; high-spin cobalt complex; resolution of A-mid

Online: 16 October 2018 (08:04:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0038.v1

Exploring The Magnetic Field Configuration Close To The Central Engines Using GMVA

Bindu Rani, Thomas Krichbaum, J. Hodgson, Shoko Koyama, Anton J. Zensus, Alan Marscher, Svetlana Jorstad, Lars Fuhramnn

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: active galaxies; BL Lacertae object: BL Lac; jets; GMVA: high-resolution VLBI; magnetic field; polarization

Online: 15 July 2016 (10:06:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0792.v1

Raising the Bar: Height Threshold and Grid Resolution Influence Repeatability of Crown Closure Estimation by Airborne Laser Surveys

Etienne B. Racine, Antoine Leboeuf, Jean Bégin

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Boreal forest; Multi-temporal LiDAR remote sensing; Crown Closure Monitoring; Tree Density; Gap Fraction; Vertical canopy cover; Gap probability; Spatial Autocorrelation; Height threshold; Spatial grid resolution

Online: 31 December 2020 (11:55:01 CET)

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Working Paper REVIEW

Multi-gap Resistive Plate Chambers for Time of Flight Applications

Yi Wang, Yancheng Yu

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: Multi-gap Resistive Plate Chamber; Time of Flight; particle identification; Time resolution; high energy physics experiments

Online: 16 July 2020 (13:06:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202108.0070.v1

Socioeconomic and Spatial Impacts of High-Speed Rail on Enterprises: An Ex-Ante Case Study of Ahmedabad Station Area, India

Falendra Kumar Sudan

Subject: Business, Economics And Management, Accounting And Taxation Keywords: high speed rail project; enterprise; infrastructure; socio-economic; spatial impacts; urban development; policy

Online: 3 August 2021 (10:56:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0162.v1

A High Resolution Coupled Fire-Atmosphere Forecasting System to Minimize the Impacts of Wildland Fires: Applications to the Chimney Tops II Wildland Event

Pedro A. Jiménez, Domingo Muñoz-Esparza, Branko Kosović

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: operational forecast sytem; fire modeling; numerical weather prediction; high spatial reoslution; WRF-Fire

Online: 12 April 2018 (08:03:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0173.v1

At the molecular resolution with MINFLUX?

Kirti Prakash

Subject: Biology And Life Sciences, Biophysics Keywords: MINFLUX, STED, SMLM, localisation precision, image resolution, super-resolution imaging

Online: 8 February 2021 (07:50:16 CET)

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Working Paper ARTICLE

Chasing the Major Sphingolipids on Earth: Automated Annotation of Plant Glycosyl Inositol Phospho Ceramides by Glycolipidomics

Lisa Panzenboeck, Nina Troppmair, Sara Schlachter, Gunda Koellensperger, Juergen Hartler, Evelyn Rampler

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: glycolipidomics; GIPC; glycosyl inositol phospho ceramides; Lipid Data Analyzer; lipidomics; sphingolipids; ultra-high pressure liquid chromatography; high-resolution mass spectrometry; LC-MS; automated annotation

Online: 8 September 2020 (12:34:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.1291.v1

Exploring Object Size Estimation Through Low-Cost Drone Technology

Paweł Romaniuk, Khalid Saeed, Rahma Boucetta

Subject: Engineering, Telecommunications Keywords: Low-cost UAV; Low-cost UAS; drone measurement; object size estimation; high-resolution satellite images; measurement accessibility

Online: 19 June 2023 (05:01:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0257.v1

An Improved Method for Impervious Surface Mapping Incorporating Lidar Data and High-Resolution Imagery at Different Acquisition Times

Hui Luo, Le Wang, Chen Wu, Lei Zhang

Subject: Environmental And Earth Sciences, Environmental Science Keywords: impervious surface mapping; multi-temporal data; change detection; high-resolution imagery; LiDAR; object-based post-classification fusion

Online: 15 June 2018 (14:32:50 CEST)

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Impervious surface mapping with high-resolution remote sensing imagery has attracted increasing interest as it can provide detailed information for urban structure and distribution. Previous studies have suggested that the combination of LiDAR data and high-resolution imagery for impervious surface mapping performs better than using only high-resolution imagery. However, due to the high cost of the acquisition of LiDAR data, it is difficult to obtain the multi-sensor remote sensing data acquired at the same acquisition time for impervious surface mapping. Consequently, real landscape changes between multi-sensor remote sensing data at different acquisition times would lead to the error of misclassification in impervious surface mapping. This issue has mostly been neglected in previous works. Furthermore, the observation differences generated from multi-sensor data, including the problems of misregistration, missing data in LiDAR data, and shadow in high-resolution images would also challenge the final mapping result in the fusion of LiDAR data and high-resolution images. In order to conquer these problems, we propose an improved impervious surface mapping method incorporating both LiDAR data and high-resolution imagery at different acquisition times in consideration of real landscape changes and observation differences. In the proposed method, a multi-sensor change detection by supervised multivariate alteration detection is employed to obtain changed areas and misregistration areas. The no-data areas in the LiDAR data and the shadow areas in the high-resolution imagery are extracted by independent classification yielded by its corresponding single sensor data. Finally, an object-based post-classification fusion is proposed to take advantage of independent classification results with single-sensor data and the joint classification result with stacked multi-sensor data. Experiments covering the study site in Buffalo, NY, USA demonstrate that our method can accurately detect landscape changes and obviously improve the performance of impervious surface mapping.

Preprint ESSAY | doi:10.20944/preprints202309.0606.v1

Based on UHPLC-Q-Orbitrap HRMS, the Effect of Chemical Composition before and after Fermentation of Gastrodia Tuder Halimasch Powder Was Compared

Yaning Wu, Hongwei Zhang, Zhenling Zhang, Jianguang Zhu, Songbo Ma, Yongqi Zhao, Yiming Wang, Jun Yuan, Xing Guo, Yajing Li, Shuai Zhang

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: gastrodia tuder halimasch powder; ultra high performance liquid chromatography tan- 34 dem quadrupole electrostatic field orbitrap high resolution mass spectrometry; stoichiometry; fer- 35 mentation processing

Online: 8 September 2023 (12:39:53 CEST)

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Working Paper COMMUNICATION

Mid-Low Resolution Remote Sensing Ship Detection Using Super-Resolved Feature Representation

Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng, Xu Cao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Ship detection; image super-resolution; mid-low resolution remote sensing images

Online: 16 August 2021 (12:51:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.1812.v1

Trio-Based Exome Sequencing and High-Resolution HLA Typing in Families of Patients with Autoimmune Adrenal Insufficiency and Autoimmune Polyglandular Syndrome

Anastasiia A. Buianova, Marina. Yu Yukina, Valery V. Cheranev, Oleg N. Suchalko, Anna O. Shmitko, Alina F. Samitova, Nurana F. Nuralieva, Elena V. Kulagina, Elena N. Savvateeva, Ekaterina A. Troshina, Denis V. Rebrikov, Dmitry A. Gryadunov, Dmitriy O. Korostin

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: autoimmune adrenal insufficiency; autoimmune polyglandular syndromes; autoantibodies; microarray; whole-exome sequencing; Trio-exome sequencing; high-resolution HLA typing

Online: 29 November 2023 (02:22:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0387.v1

On the Usefulness of the Modern Analog Approach to Interpret High Resolution Records: The Case of Varved Sediments from Lake Montcortès (Central Pyrenees)

Teresa Vegas-Vilarrúbia, Valenti Rull, Maria del Carmen Trapote, Min Cao, Antoni Rosell-Melé, Teresa Buchaca, Joan Gomà, Pilar López, Javier Sigro, Elisabet Safont, Núria Cañellas, Sandra Garcés-Pastor, Santiago Giralt, JUAN PABLO CORELLA, Núria Pérez-Zanón

Subject: Environmental And Earth Sciences, Environmental Science Keywords: high resolution, endogenic varves, calcite precipitation, pollen sedimentation, meromixis, freshwater glycerol dialkyl tetraether, subfossil pigments, long-term ecology

Online: 31 May 2019 (11:20:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0576.v1

Investigation of Heat and Pressure Treatments on Almond Protein Stability and Immunoreactivity after Simulated Human Digestion

Elisabetta De Angelis, Simona L. Bavaro, Graziana Forte, Rosa Pilolli, Linda Monaci

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: almond; thermal/pressure treatment; autoclave; food allergens; high resolution mass spectrometry (HR-MS); immunoreactivity reduction; in vitro digestion

Online: 29 September 2018 (04:23:32 CEST)

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Almond is worldwide consumed and renowned as a valuable healthy food. In spite of this, it is also a potent source of allergenic proteins able to trigger several mild to life-threatening immunoreactions. Food processing proved to alter biochemical characteristics of proteins, thus affecting the respective allergenicity. In this paper we investigated the effect of autoclaving, preceded or not by a hydration step, on the biochemical and immunological properties of almond proteins. Any variation in the stability and immunoreactivity of almond proteins extracted from the treated materials, were evaluated by total protein quantification, ELISA assay and protein profiling by electrophoresis-based separation (SDS-PAGE). The autoclaving alone was found to weakly affect almond proteins stability, despite what observed for the combination of hydration and autoclaving, which resulted in a loss of approximately 70% of total protein content compared to untreated sample, and in a final negligible immunoreactivity, as well. The final SDS-PAGE protein pattern recorded for almonds hydrated and autoclaved disclosed significant changes. In addition, the same samples were further submitted to in vitro simulated gastro-duodenal (GI) digestion to evaluate potential changes induced by these processing on allergens digestibility. Digestion products were identified by HPLC-HRMS/MS analysis followed by software-based data mining, and complementary information were provided by analyzing the proteolytic fragments lower that 6 kDa in size. The autoclave based treatment was found not to alter the allergens digestibility, whereas an increased susceptibility to proteolytic action of digestive enzymes was observed in almonds subjected to the combination of prehydration and autoclaving. Finally, the residual immunoreactivity of the GI resistant peptides was investigated in-silico by bioinformatic tools, confirming that by following both approaches, no epitopes survived the almond digestion, thus demonstrating the potential effectiveness of these treatments to reduce almond allergenicity.

Preprint ARTICLE | doi:10.20944/preprints202305.2012.v1

Spatial Distribution Pattern and Evolution Characteristics of Elderly Population in Wuhan Based on Census Data

Fan Li, Jie Zhou, Wei Wei, Li Yin

Subject: Social Sciences, Urban Studies And Planning Keywords: spatial aging; elderly population; spatial distribution; spatial evolution; Wuhan

Online: 29 May 2023 (12:43:33 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202010.0225.v1

Super-Resolution Persistent Scatterer Interferometry (SR-PSI) - PS Densification Through Capon Based SAR Reprocessing

Hao Zhang, Paco Lopez-Dekker

Subject: Engineering, Automotive Engineering Keywords: Super-Resolution; PSI; Capon

Online: 12 October 2020 (10:35:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.1092.v1

Does High-Speed Railway Promote the Quality of Urbanization? From a Dynamic Network Perspective

Jingyu Chen, Weidong Li, Bingyu Wu, Zhen Yu

Subject: Business, Economics And Management, Economics Keywords: high-speed railway; quality of urbanization; dynamic network; improved social network analysis; spatial econometric model

Online: 18 September 2023 (02:54:48 CEST)

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Working Paper ARTICLE

A New 3D Geological Modeling Method Based On Remote Sensing and Its Application in Ya 'an Area Sichuan Province

Zhaoyang Ma, Lihai Zhang, Yan Wang, Guifan Zhu, Yinping Liang

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Multi-source heterogeneity; remote sensing; large-scale high-precision modeling; grid division; geostatistics; spatial interpolation

Online: 20 January 2021 (16:19:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1634.v1

A 48-Channel High-Resolution Ultrasound Beamforming System for Ultrasound Endoscopy Applications

Soohyun Yun, Seungah Lee, Joonsung Bae

Subject: Engineering, Electrical And Electronic Engineering Keywords: ultrasound beamforming; high-resolution image; digital beamformer; sub-array, delay generator; coherence factor; charge-redistribution HV pulser

Online: 22 December 2023 (04:52:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202308.0249.v1

Ultra-High Resolution Electrocardiography Enables Earlier Detection of Transmural and Subendocardial Myocardial Ischemia Compared to Conventional Electrocardiography

Kirill V. Zaichenko, Anna A. Kordyukova, Dmitry L. Sonin, Michael M. Galagudza

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: heart; ischemia; reperfusion; electrocardiography; ultra-high resolution electrocardiography; power spectral density; ischemic heart disease; subclinical atherosclerosis; sensitivity; risk stratification

Online: 3 August 2023 (05:17:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0099.v1

Enhancing Imagistic Interstitial Lung Disease Diagnosis by Using Complex Networks

Ana Adriana Trușculescu, Diana Luminița Manolescu, Laura Broască, Versavia Maria Ancușa, Horia Ciocârlie, Corina Camelia Pescaru, Emanuela Vaștag, Cristian Iulian Oancea

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: Interstitial lung disease; Diffuse interstitial lung disease; Idiopathic pulmonary fibrosis; High-resolution computed tomography; Complex Networks; Computer aided diagnosis

Online: 4 August 2022 (04:14:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0382.v1

High-Resolution Inundation Mapping for Heterogeneous Land Covers with Synthetic Aperture Radar and Terrain Data

Fernando Aristizabal, Jasmeet Judge, Alejandro Monsivais-Huertero

Subject: Engineering, Control And Systems Engineering Keywords: supervised machine learning; flood inundation mapping; high-resolution; synthetic aperture radar; height above nearest drainage; sentinel-1; inundated vegetation

Online: 31 May 2019 (08:48:14 CEST)

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Floods are one of the most wide-spread, frequent, and devastating natural disasters that continue to increase in frequency and intensity. Remote sensing, specifically synthetic aperture radar (SAR), has been widely used to detect surface water inundation to provide retrospective and near-real time (NRT) information due to its high-spatial resolution, self-illumination, and low atmospheric attenuation. However, the efficacy of flood inundation mapping with SAR is susceptible to reflections and scattering from a variety of factors including dense vegetation and urban areas. In this study, the topographic dataset height above nearest drainage (HAND) was investigated as a potential supplement to Sentinel-1A C-Band SAR along with supervised machine learning to improve the detection of inundation in heterogeneous areas. Three machine learning classifiers were trained on two sets of features SAR only (VV & VH) and VV, VH & HAND to map inundated areas. Three study sites along the Neuse River in North Carolina, USA during the record flood of Hurricane Matthew in October 2016 were selected. The binary classification analysis (inundated as positive vs. non-inundated as negative) revealed significant improvements when incorporating HAND in several metrics including classification accuracy (ACC) (+37.1%), true positive rate (TPR) (+51.2%), and negative predictive value (NPV) (+23.7%), A marginal improvement of +1.4% was seen for positive predictive value (PPV), but true negative rate (TNR) fell -15.1%. By incorporating HAND, a significant number of areas with high SAR backscatter but low HAND values were detected as inundated which increased true positives. This in turn also increased the false positives detected but to a lesser extent as evident in the metrics. This study demonstrates that HAND could be considered a valuable feature to enhance SAR flood inundation mapping especially in areas with heterogeneous land covers with dense vegetation that interfere with SAR.

Working Paper REVIEW

Machine Learning of Spatial Data

Behnam Nikparvar, Jean-Claude Thill

Subject: Social Sciences, Geography, Planning And Development Keywords: spatial machine learning; spatial dependence; spatial heterogeneity; scale; spatial observation matrix; learning algorithm; deep learning

Online: 6 August 2021 (14:18:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1865.v1

Direct Femtosecond Laser Processing for Generating High Spatial Frequency LIPSS (HSFL) on Borosilicate Glasses with Large Area Coverage

Rajeev Rajendran, E. R. Krishnadev, K. K. Anoop

Subject: Physical Sciences, Optics And Photonics Keywords: Femtosecond laser processing; Laser Induced Periodic Surface Structures (LIPSS); high spatial frequency LIPSS (HSFL); Borosilicate glass

Online: 26 May 2023 (05:31:10 CEST)

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Large-area nanostructuring of glasses using intense laser beam remains a difficult task due to the extreme non-linear absorption of the laser energy by the material. Precise optimization of the process parameters is essential for fabricating nanostructures with large area coverage. In this study, we report the findings on creating high spatial frequency LIPSS (HSFL) on borosilicate glass through direct laser writing, using a femtosecond laser with a wavelength λ = 800 nm, pulse duration τ = 35 fs, and repetition frequency frep = 1 kHz. The orientation of the HSFL was found to be parallel to the electric field vector. We measured the single pulse ablation threshold (Fth=3.87±0.26 J/cm2) and incubation factor (S=0.68±0.03) of Borosilicate glasses for precise control for large area surface structuring. Single-spot experiments indicate that uniform LIPSS formation is limited by melt formation inside the irradiated area for higher fluence and a larger number of irradiated laser pulses. The orientation of the scan axis with the laser beam polarization is found to be significantly influencing the uniformity of the large area processing. We found that the orientation of the scan axis with the laser beam polarization significantly affects the uniformity of large-area processing, with redeposition and melt formation being higher when the scan axis is perpendicular to the laser beam polarization. Large-area processing of the borosilicate glass surface is done by line-by-line scanning over the surface with a scan orientation parallel to the laser beam polarization. The optical characterization reveals that the transmittance and reflectance of the borosilicate glass decreased significantly after processing. Also, the wettability of the surface has been changed from hydrophilic to super hydrophilic after processing. These chemical contamination-free and uniformly distributed structures have potential applications in optics, microfluidics, photovoltaics, and biomaterials.

Working Paper ARTICLE

Integrating EfficientNet into an HAFNet structure for Building Mapping in High-Resolution Optical Earth Observation Data

Luca Ferrari, Fabio Dell'Acqua, Peng Zhang, Peijun Du

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: attention mechanism; building mapping; data fusion; EfficientNet; HAFNet; high-resolution imagery (HRI); light detection and ranging (LiDAR); mapping; urban areas

Online: 19 August 2021 (08:50:20 CEST)

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Automated extraction of buildings from earth observation (EO) data is important for various applications, including updating of maps, risk assessment, urban planning, policy making. Combining data from different sensors such as high-resolution multispectral (HRI) and light detection and ranging (LiDAR) has shown great potential in building extraction. Deep learning (DL) is increasingly used in multimodal data fusion and urban object extraction. However, DL-based multimodal fusion networks may underperform due to insufficient learning of “joint features” from multiple sources and oversimplified approaches to fusing multimodal features. Recently, an hybrid attention-aware fusion network (HAFNet) has been proposed for building extraction from a dataset including co-located Very-High-Resolution (VHR) optical images and Light Detection And Ranging (LiDAR) joint data. The system reported good performances thanks to the adaptivity of the attention mechanism to the features of the information content of the three streams but suffered from model overparametrization, which inevitably leads to long training times and heavy computational load. In this paper the authors propose a restructuring of the scheme, which involved replacing VGG-16-like encoders with the recently proposed EfficientNet, whose advantages counteract exactly the issues found with the HAFNet scheme. The novel configuration was tested on multiple benchmark datasets, reporting great improvements in terms of processing times, and also in terms of accuracy. The new scheme, called HAFNetE (HAFNet with EfficientNet integration), appears indeed capable of achieving good results with less parameters, translating into better computational efficiency. Based on these findings, we can conclude that, given the current advancements in single-thread schemes, the classical multi-thread HAFNet scheme could be effectively transformed by the HAFNetE scheme by replacing VGG-16 with EfficientNet blocks on each single thread. The remarkable reduction achieved in computational requirements moves the system one step closer to on-board implementation in a possible, future “urban mapping” satellite constellation.

Preprint TECHNICAL NOTE | doi:10.20944/preprints202009.0678.v1

Satellite Image Multi-Frame Super-Resolution Using 3D Wide-Activation Neural Networks

Francisco Dorr

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: multi-frame super resolution; wide activation super resolution; 3D convolutional neural network; deep learning

Online: 27 September 2020 (11:54:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0413.v1

Introduction to Cross-Section Spatial Econometric Models with Applications in R

Coro Chasco, Andrés Vallone

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: Spatial Econometrics; Spatial Weight Matrix; Spatial Autocorrelation; Cross-Section Models; R Software

Online: 7 September 2023 (03:27:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0019.v1

A Model of Extracting Building from High Resolution Remote Sensing Image Based on Bayesian Convolutional Neural Networks

Xiaoxia Yang , Chengming Zhang, Shuai Gao, Fan Yu, Dejuan Song, Qingdi Wei, Yan Chen, Shouyi Wang

Subject: Computer Science And Mathematics, Analysis Keywords: high resolution remote sensing image; convolutional neural networks; full convolution networks; Bayesian convolutional neural networks; building extraction; conditional probability density function

Online: 3 January 2018 (04:46:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints201705.0149.v1

Spatial Pattern Dynamics Analysis at Coastal Area Using Spatial Metric in Pekalongan, Indonesia

Ali Wijaya, Cahyono Susetyo, Azillatin Qisthian Diny, Danika Hudani Nabila, Rahel Putri Pamungkas, Mohammad Hadikunnuha, Nursakti Adhi Pratomoatmojo

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Spatial Pattern; Land Use; Spatial Metric; Aggregation; Diversity

Online: 19 May 2017 (16:21:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0145.v1

Spatial Pattern Dynamics Analysis in Coastal Area Using Spatial Metric in Pekalongan, Indonesia

Ali Wijaya, Cahyono Susetyo, Azillatin Q. Diny, Danika H. Nabila, Rahel P. Pamungkas, Mohammad Hadikunnuha, Nursakti A. Pratomoatmojo

Subject: Environmental And Earth Sciences, Environmental Science Keywords: spatial pattern; land use; spatial metric; aggregation; diversity

Online: 19 May 2017 (08:43:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0319.v1

Between Life and Death: Reducing Phototoxicity in Super-Resolution Microscopy

Kalina L. Tosheva, Yue Yuan, Pedro M. Pereira, Siân Culley, Ricardo Henriques

Subject: Biology And Life Sciences, Other Keywords: Phototoxicity, Photodamage, Super-Resolution Microscopy, Fluorescence

Online: 30 August 2019 (08:22:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0219.v1

Mapping Informal Settlements in the Middle East Environment using an Object-Based Machine-Learning Approach

Ahmad Fallatah, Simon Jones, David Mitchell

Subject: Computer Science And Mathematics, Information Systems Keywords: informal settlement indicators; very high resolution (VHR); urbanisation; sustainable development goals; object-based image analysis (OBIA); machine learning (ML); random forest (RF)

Online: 12 September 2018 (12:32:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0209.v1

UAV Remote Sensing for Biodiversity Monitoring: Are Forest Canopy Gaps Good Covariates?

Martin B. Bagaram, Diego Giuliarelli, Gherardo Chirici, Francesca Giannetti, Anna Barbati

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Unmanned Aerial systems (UAS); , RGB high resolution imagery; forest canopy gaps; understorey; vertical species diversity; microhabitat-bearing trees; contrast split segmentation; drone

Online: 12 July 2018 (05:36:22 CEST)

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Forest canopy gaps are important for the ecosystem dynamics. Depending on tree species, small canopy openings might be also associated to intra-crown porosity and to space between crowns. Yet, little is known on the relationships between the fine-scaled pattern of canopy openings and biodiversity features. This research explored the possibility of i)- mapping forest canopy gaps from a very high resolution orthomosaic (10 cm), processed from a versatile imaging platform such as unmanned aerial vehicles (UAV), ii)- to derive patch metrics that can be tested as covariates of variables of interest for forest biodiversity monitoring. This is attempted in a test area of 240 ha covered by temperate deciduous forest types in Central Italy and containing 50 forest inventory plots of about 530 m². Correlation and linear regression techniques were used to explore relationships between patch metrics and understorey (density, development and species diversity) or forest habitat biodiversity variables (density of micro-habitat bearing trees, vertical species profile, tree species diversity). The results revealed that small openings in the canopy cover (75% smaller than 7 m²) can be faithfully extracted from UAV RGB imagery, using the red band and contrast split segmentation. Highest correlations were observed in the mixed forest (beech and turkey oak), while beech forest had the poorest ones and turkey oak forest displayed intermediate results. Moderate to strong linear relationships were found between gap metrics and understorey variables in mixed forest type, with adjusted R² from linear regression ranging from 0.52 to 0.87. Equally good results, in the same forest types, were observed for forest habitat biodiversity variables (0.52<adjusted R²<0.79) with highest values found for density of trees with microhabitats and vertical species profile. In conclusion, this research highlights that UAV remote sensing can potentially provide covariate surfaces of variables of interest for forest biodiversity monitoring, conventionally collected in forest inventory plots. By integrating the two sources of data, these variables can be mapped over small forest areas with satisfactory levels of accuracy, at a much higher spatial resolution than would be possible by field-based forest inventory solely.

Preprint ARTICLE | doi:10.20944/preprints202310.0862.v1

A Comparative Analysis of Machine Learning Techniques for National Glacier Mapping: Evaluating Performance Through Spatial Cross-Validation in Perú.

Marcelo Bueno, Brigitte Macera, Nilton Montoya

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: spatial modeling; machine learning; glacier mapping; glacier retreat; climate change; spatial autocorrelation; spatial cross-validation

Online: 13 October 2023 (09:45:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0060.v1

The Relationship between Rhythmic Temporal Attention and Endogenous and Exogenous Spatial Attention

Xiaoxiao Li, Yong Lyu

Subject: Social Sciences, Psychology Keywords: rhythm; temporal attention; endogenous spatial attention; exogenous spatial attention

Online: 1 March 2024 (16:52:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202302.0313.v1

Quality Assurance in Neutron Activation Analysis: Simulation and a Continuous Improvement Approach

Abdessamad Didi, Iliasse Aarab, Hamid Bounouira, Hamid Amsil, Abdelouahab Badague, Khalid Laraki, Hamid Marah, Hassane Dekhissi

Subject: Physical Sciences, Particle And Field Physics Keywords: Iso 17025; NAA; Efficiency; Resolution; Gamma activation

Online: 17 February 2023 (14:52:02 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints202203.0146.v1

Expansion Microscopy on Saccharomyces cerevisiae

Artemis G. Korovesi, Leonor Morgado, Marco Fumasoni, Ricardo Henriques, Hannah Heil, Mario Del Rosario

Subject: Biology And Life Sciences, Biophysics Keywords: expansion microscopy; yeast; Saccharomyces cerevisiae; super-resolution

Online: 10 March 2022 (10:51:02 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.0424.v1

Genomic Atlas 2.0 Emerging Strategies and Technologies in Advanced Genetic Mapping

Mohammad Odah

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Genomic atlas 2.0; advanced genetic mapping; high-throughput sequencing; long-read sequencing technologies; spatial genomics; CRISPR technologies; integrative genomic mapping

Online: 8 March 2024 (03:57:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1011.v1

The Spatiotemporal Evolution Characteristics and Influencing Factors of Cotton Production Agglomeration in China

Yaqi Lan, Xiudong Wang, Lei Gao

Subject: Social Sciences, Geography, Planning And Development Keywords: cotton production agglomeration; spatiotemporal evolution characteristics; spatial correlation; spatial econometric model

Online: 19 February 2024 (16:06:33 CET)

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