BBC Russian

Preprint ARTICLE | doi:10.20944/preprints202406.1356.v1

Impact of Southerly Surge on Rainfall Pattern Over Java, Bali, West Nusa Tenggara and East Nusa Tenggara during Asian Winter Monsoon and Its Relationship to MJO Condition

Trismidianto Trismidianto, Didi Satiadi, Wendi Harjupa, Ibnu Fathrio, Risyanto Risyanto, Elfira Saufina, Robi Muharsyah, Danang Eko Nuryanto, Fadli Nauval, Dita Fatria Andarini, Anis Purwaningsih, Teguh Harjana, Alfan Sukmana Praja, Adi Witono, Ina Juaeni, Bambang Suhandi

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Southerly Surge; MJO; Rainfall; Java Island; East Nusa Tenggara

Online: 19 June 2024 (14:10:02 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0120.v1

On the Impact of Geospace Weather on the Occurrence of M7.8 /M7.5 Earthquakes of 02.06.2023 (Turkey), Possibly Associated with the Geomagnetic Storm of 11.07.2022

Dimitar Ouzounov, Galina Khachikyan

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: solar wind; geomagnetic storm onset; polar cusp; geospace weather; magnetic local time; earthquake

Online: 2 May 2024 (09:57:51 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202406.1495.v1

Understanding Aerosol-Cloud Interactions Through Lidar Techniques: A Review

Francesco Cairo, Luca Di Liberto, Davide Dionisi, Marcel Snels

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Aerosol; Cloud; Lidar

Online: 21 June 2024 (10:03:19 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0757.v1

Direct and Indirect Effects of Mountain Heights on Heavy Rainfall in the Hokitika Region of New Zealand

Yang Yang, Ian Boutle, Stuart Moore, Trevor Keith Carey-Smith, John Crouch

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Heavy rainfall; orographic lifting; mountain blocking; cold front; sub-grid mountain height; dual-polarisation radar; Southern Alps

Online: 13 March 2024 (07:28:05 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.1494.v1

Polar Stratospheric Clouds Observations at Concordia Station by the Remotely Controlled Lidar Observatory

Luca Di Liberto, Francesco Colao, Federico Serva, Alessandro Bracci, Francesco Cairo, Marcel Snels

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: climate; ozone; stratosphere; polar stratospheric clouds; lidar

Online: 26 March 2024 (10:26:43 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0915.v2

Trends in CO, CO₂, CH₄, BC, and NO_xduring the first 2020 COVID-19 lockdown: Source Insights from the WMO/GAW station of Lamezia Terme (Calabria, Southern Italy)

Francesco D’Amico, Ivano Ammoscato, Daniel Gullì, Elenio Avolio, Teresa Lo Feudo, Mariafrancesca De Pino, Paolo Cristofanelli, Luana Malacaria, Domenico Parise, Salvatore Sinopoli, Giorgia De Benedetto, Claudia Roberta Calidonna

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Covid-19; 2020 lockdown; Lamezia Terme; Mediterranean Basin; GAW; carbon monoxide; carbon dioxide; methane; black carbon; nitrogen oxides

Online: 16 September 2024 (14:32:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0250.v1

Assessment of Accuracy of MODIS Sea Surface Temperature at High Latitudes Using Saildrone Data

Chong Jia, Peter J Minnett, Malgorzata D Szczodrak

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: MODIS; sea surface skin temperature; Saildrone; validation; Arctic

Online: 6 May 2024 (08:50:58 CEST)

Show abstract| Download PDF| Share

The infrared (IR) satellite remote sensing of sea surface skin temperature (SSTskin) is challenging in the northern high latitude region, especially in the Arctic because of its extreme environmental conditions, and thus the accuracy of SSTskin retrievals is questionable. Several Saildrone uncrewed surface vehicles were deployed at the Pacific side of the Arctic in 2019, and two of them, SD-1036 and SD-1037, were equipped with a pair of IR pyrometers on the deck whose measurements have been shown to be useful in the derivation of SSTskin with sufficient accuracy for scientific applications, providing an opportunity to validate satellite SSTskin retrievals. This study aims to assess the accuracy of MODIS-retrieved SSTskin from both Aqua and Terra satellites by comparisons with collocated Saildrone-derived SSTskin data. The mean differences in SSTskin from the SD-1036 and SD-1037 measurements are different by ~0.4 K, largely resulting from differences in the atmospheric conditions experienced by the two Saildrones. The performance of MODIS on Aqua and Terra in retrieving SSTskin is comparable. Negative brightness temperature (BT) differences between 11 μm and 12 μm channels are identified as being physically based, but are removed from the analyses as they present anomalous conditions for which the atmospheric correction algorithm is not suited. Overall, the MODIS SSTskin retrievals show negative mean biases, -0.234 K for Aqua and -0.295 K for Terra. The variations in the retrieval inaccuracies show an association with diurnal warming events in the upper ocean from long periods of sunlight in the Arctic. Also contributing to inaccuracies in the retrieval is the surface emissivity effect in BT differences characterized by the Emissivity-introduced BT difference (EΔBT) index. This study demonstrates the characteristics of MODIS-retrieved SSTskin in the Arctic, at least at the Pacific side, and underscores that more in situ SSTskin data at high latitudes are needed for further error identification and algorithm development of IR SSTskin.

Preprint ARTICLE | doi:10.20944/preprints201703.0160.v1

The Relationship of PM Variation to Visibility and Mixing Layer Height under Haze/Fog Condition in Multi-Cities of Northeast China

Hujia Zhao, Huizheng Che, Yanjun Ma, Yangfeng Wang, Hongbin Yang, Yuche Liu, Yaqiang Wang, Hong Wang, Xiaoye Zhang

Subject: Environmental And Earth Sciences, Environmental Science Keywords: visibility; PM; MLH; multi-cities; northeast China

Online: 20 March 2017 (11:57:10 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0682.v1

Influence of New Parameterization Schemes on Arctic Sea Ice Simulation

Yang LU, Xiaochun WANG, Yijun He, Jiping Liu, Jiangbo Jin, Jian Cao, Juanxiong He, Yongqiang Yu, Xin Gao, Mirong Song, Yiming Zhang

Subject: Environmental And Earth Sciences, Oceanography Keywords: Earth System Model; Sea Ice Parameterization Scheme; Arctic Sea Ice; Sea Ice Concentration; Sea Ice Thickness

Online: 12 March 2024 (10:29:33 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.1587.v1

Integrated Analysis of Methane Cycles and Trends at the WMO/GAW Station of Lamezia Terme (Calabria, Southern Italy)

Francesco D’Amico, Ivano Ammoscato, Daniel Gullì, Elenio Avolio, Teresa Lo Feudo, Mariafrancesca De Pino, Paolo Cristofanelli, Luana Malacaria, Domenico Parise, Salvatore Sinopoli, Giorgia De Benedetto, Claudia Roberta Calidonna

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: methane; wind parameters; GAW; Lamezia Terme; Calabria; Southern Italy

Online: 19 July 2024 (10:28:05 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0035.v1

An Implementation based on Mask-D3QN of Quadruped Robot Motion for Steam Generator

Biying Xu, Xuehe Zhang, Xuan Yu, Yue Ou, Kuan Zhang, Hegao Cai, Jie Zhao, Jizhuang Fan

Subject: Engineering, Mechanical Engineering Keywords: crawling robot; deep reinforcement learning; motion planning; hierarchical planning

Online: 2 September 2024 (13:13:56 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0884.v2

Anthropic-Induced Variability of Greenhouse Gasses and Aerosols at the WMO/GAW Coastal Site of Lamezia Terme (Calabria, Southern Italy): Towards a New Method to Assess the Weekly Distribution of Gathered Data

Francesco D’Amico, Ivano Ammoscato, Daniel Gullì, Elenio Avolio, Teresa Lo Feudo, Mariafrancesca De Pino, Paolo Cristofanelli, Luana Malacaria, Domenico Parise, Salvatore Sinopoli, Giorgia De Benedetto, Claudia Roberta Calidonna

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Lamezia Terme; GAW; sustainability; weekly cycles; anthropic activity; carbon monoxide; carbon dioxide; methane; black carbon

Online: 20 September 2024 (09:45:49 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1157.v1

Advancing Electric Load Forecasting: Leveraging Federated Learning for Distributed, Non-Stationary, and Discontinuous Time Series

Lucas Richter, Steve Lenk, Peter Bretschneider

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Federated Learning; Load Forecasting; Non-Stationary And Discontinous Time Series; Renewable Energy Community; Dynamic Portfolio

Online: 17 May 2024 (11:36:14 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.1653.v1

The Evolution and Impact of Glacier Avalanches in Tibet Based on the Sentinel-2 Time-Series Images

Duo Chu, Drolma Lhakpa, Yong Nie, Zhaojun Zheng

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Glacier avalanche; Cryospheric hazard; Sentinel-2; Field investigation; Tibet

Online: 25 April 2024 (10:15:06 CEST)

Show abstract| Download PDF| Share

Catastrophic mass flows originating from the high mountain cryosphere often cause hazard cascades. With increasing human activities in the alpine region and the sensitivity of glaciers, snow and permafrost to climate warming, the cryospheric hazard risks tend to be more active in the Tibetan Plateau(TP). The remoteness and inaccessibility of high mountain regions make the remote sensing technology the most effective approach for monitoring and investigating the cryospheric hazards. Exploring the evolution process and impact of ice avalanches and subsequent hazards are crucial to understand drivers and nature of mass flow process chain in order to prevent and mitigate potential hazard consequences. In this study, the glacier and ice-rock avalanches occurred in Arutso and Sedongpu basins in Tibet were investigated on the basis of Sentinel-2 time-series images and in-situ investigation, the evolution process of these events were reconstructed, and impacts and driving factors were analyzed. The massive Chamoli rock-ice avalanche occurred in February 2021 in the western Himalayas was also reviewed using using same methods. The study shows that Arutso glacier No. 53 (Arutso-53) avalanche completely melted away in July 2018 after two years from occurrence to final disappearance, while Arutso glacier No. 50 (Arutso-50) avalanche completely melted by the end of August 2023 after lasting for seven years. Four large-scale ice-rock avalanche and debris flow events in the Sedongpu basin in 2017 and 2018 not only had significant impacts on the river flow, landscape and geomorphologic shape in the basin, but also caused serious disasters in the basin and downstream. In March 2021, a small-scale ice-rock avalanche and debris flow event occurred again in the Sedongpu basin. The glacier and ice-rock avalanches occurred in Tibet area were mainly induced by climate warming, heavy precipitation and seismic activity, which acting on specific topographic and geomorphic structure of glacier properties in the high mountain regions. Catastrophic hazard events originating from the high-elevation glacier and ice-rock collapses in the mountain cryosphere and subsequent hazard cascades in the TP and Himalayas highlight the importance of mountain hazard monitoring, early warning systems and sustainable mountain development.

Preprint ARTICLE | doi:10.20944/preprints201702.0074.v1

v-Mapper: An Application-Aware Resource Consolidation Scheme for Cloud Data Centres

Aaqif Afzaal Abbasi, Hai Jin

Subject: Computer Science And Mathematics, Information Systems Keywords: network; systems; cloud computing; data centre; performance; software-defined; virtual machine; scheduling; admission control; application-aware;

Online: 20 February 2017 (04:56:24 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.2379.v1

As Regular as Clockwork: Alexander Von Humboldt, Robert De Lamanon and the Beginning of the Scientific Investigation of the Tidal Barometric Oscillation

Kevin Hamilton

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: atmospheric tides; barometric oscillations; history of meteorology

Online: 30 July 2024 (05:20:56 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.0061.v1

Postfilament-Induced Two-Photon Fluorescence of Dyed Liquid Aerosol Enhanced by Structured Femtosecond Laser Pulse

D V Apeksimov, P. A. Babushkin, Yury E. Geints, A. M. Kabanov, E. E. Khoroshaeva, V. K. Oshlakov, A. V. Petrov, Aleksandr A. Zemlyanov

Subject: Physical Sciences, Applied Physics Keywords: femtosecond laser pulse; turbulence; aerosol; atmosphere; fluorescence; filamentation

Online: 3 June 2024 (12:12:08 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201611.0097.v1

Structural Equation Model into Interaction Mechanism between Forest Industry and Ecology with Environmental Mediator Introduced

Bing Liao, Zhiguang Zhang, Chunxiang Liu, Yuanzheng Wu

Subject: Business, Economics And Management, Economics Keywords: forest industry and ecology; environmental capacity; interaction mechanism; SEM; PSIR

Online: 18 November 2016 (10:01:42 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202408.1397.v1

Reinforcement Learning-based Network Dismantling by Targeting Maximum Degree Nodes in the Giant Connected Component

Shixuan Liu, Tianle Pu, Li Zeng, Yunfei Wang, Haoxiang Cheng, Zhong Liu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Complex Networks; Network Dismantling; Graph Representation Learning; Reinforcement Learning

Online: 20 August 2024 (09:25:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1330.v1

Propagation of a Partially Coherent Bessel—Gaussian Beam in a Uniform Medium and Turbulent Atmosphere

Igor Lukin, Vladimir P. Lukin

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: singular optics; Bessel—Gaussian beams; vortex beams; diffraction-free beams; partial coherence; Gaussian Shell-model; propagation; coherence degree; integral coherence scale

Online: 21 May 2024 (17:21:58 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.1017.v1

Sampling Audit Evidence Using a Naive Bayes Classifier

Guang-Yih Sheu ---, Nai-Ru Liu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Sampling; audit evidence; representativeness index; Naive Bayes classifier

Online: 18 March 2024 (10:37:21 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0816.v1

The Spatiotemporal Evolution of the Growing Degree Days (GDD) Agroclimatic Index for the Viticulture over the Northern Mediterranean Basin

Ioannis Charalampopoulos, Iliana Polychroni, Fotoula Droulia, Panagiotis T. Nastos

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Climate change; agroclimate; agroclimatic indices; viticulture; viticultural zoning

Online: 14 March 2024 (09:31:31 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0003.v1

A Single-Stage Buck-Boost Three-Level Neutral-Point-Clamped Inverter with Two Input Sources for the Grid-Tied Photovoltaic Power Generation

Xuefeng Ge, Feng Gao, Mengxing Chen

Subject: Engineering, Electrical And Electronic Engineering Keywords: neutral-point-clamped inverter; buck-boost inverter; single stage conversion; photovoltaic inverter

Online: 1 March 2017 (09:31:28 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201702.0078.v1

Resonant Rectifier ICs for Piezoelectric Energy Harvesting Using Low-voltage Drop Diode Equivalents

Amad Ud Din, Seneke Chamith Chandrathna, Jong-Wook Lee

Subject: Engineering, Energy And Fuel Technology Keywords: AC-DC converters; energy harvesting; piezoelectric; rectifier

Online: 20 February 2017 (18:23:13 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.1140.v1

New Design Scheme and Application of Fresnel Lens for Broadband Photonics Terahertz Communication

Peng Tian, Yang Han, Weipin Li, XiongWei Yang, MingXu Wang, Jianjun Yu

Subject: Engineering, Telecommunications Keywords: terahertz wireless transmission; plano-convex lens; Fresnel lens; PTFE

Online: 14 September 2024 (11:37:43 CEST)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202403.0585.v1

Customer Churn Prediction in Telecommunication Industry: A Literature Review

Mehdi Imani

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Customer churn prediction; machine learning; telecommunication industry; literature review; imbalanced data; sampling techniques; classification techniques; random forest; XGBoost; gradient boosting; ensemble techniques

Online: 14 March 2024 (05:27:06 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201701.0132.v1

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signal

Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen, Zhujun Zhang

Subject: Engineering, Mechanical Engineering Keywords: intelligent fault diagnosis; convolutional neural networks; domain adaptation; anti-noise

Online: 30 January 2017 (12:15:03 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0955.v1

Mechatronic and Robotic Systems Utilizing Pneumatic Artificial Muscles as Actuators

Željko Šitum, Juraj Benić, Mihael Cipek

Subject: Engineering, Control And Systems Engineering Keywords: soft robotics; mechatronic system; PAMs; control; design

Online: 18 March 2024 (08:38:40 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0341.v1

Visualising Daily PM10 Pollution Data in an Open-Cut Mining Valley of New South Wales, Australia—Part I: Identification of Spatial and Temporal Variation Patterns

Ningbo Jiang, Matthew L. Riley, Merched Azzi, Praveen Puppala, Hiep Nguyen Duc, Giovanni Di Virgilio

Subject: Environmental And Earth Sciences, Pollution Keywords: PM10 pollution; spatial-temporal variability mode; rotated principal component analysis (RPCA); wavelet analysis; open-cut mining; valley environment

Online: 6 March 2024 (12:06:16 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201609.0084.v1

A Novel Virtual Torque Sensor for Rescue Robots with Harmonic Drives

Kerui Xia, Liang Ding, Guangjun Liu, Haibo Gao, Zongquan Deng

Subject: Engineering, Control And Systems Engineering Keywords: robot joint; virtual torque sensor; Gaussian process regression; harmonic drive compliance model

Online: 23 September 2016 (09:52:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.1766.v1

Development of an Edge-Computing-Based Intelligent Feeding System for Observing Depth-Specific Feeding Behavior in Red Seabream

Donggil Lee, Jaehyun Bae, Kyounghoon Lee

Subject: Biology And Life Sciences, Aquatic Science Keywords: feeding; monitoring; edge computing; aquaculture; red seabream

Online: 26 July 2023 (10:27:28 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201702.0059.v1

Fusing Observational, Satellite Remote Sensing and Air Quality Model Simulated Data to Estimate Spatiotemporal Variations of PM2.5 Exposure in China

Tao Xue, Yixuan Zheng, Guannan Geng, Bo Zheng, Xujia Jiang, Qiang Zhang, Kebin He

Subject: Environmental And Earth Sciences, Environmental Science Keywords: fine particulate matter (PM2.5); aerosol optical depth; community multi-scale air quality (CMAQ) model; data fusion; exposure assessment

Online: 16 February 2017 (08:58:09 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint REVIEW | doi:10.20944/preprints202408.2021.v1

Interactions Between Folic Acid Supplementation and Vitamin B12 Deficiency in Pregnant Women with Celiac Disease and Associated Maternal/Fetal Outcomes

Lily Lev, Katherine Petersen, Joseph L Roberts, Kevin Kupferer, Steven Werder

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Vitamin B12; Folate; Folic Acid; Celiac Disease; Pregnancy

Online: 28 August 2024 (10:27:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.1582.v1

Evaluation of VIIRS Thermal Emissive Bands Long-Term Calibration Stability and Inter-sensor Consistency Using Radiative Transfer Modeling

Feng Zhang, Xi Shao, Changyong Cao, Yong Chen, Wenhui Wang, Tung-Chang Liu, Xin Jing

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Visible Infrared Imaging Radiometer Suite (VIIRS); NOAA-21; NOAA-20; S-NPP; radiative transfer modeling; community radiative transfer model (CRTM); thermal emissive band (TEB); calibration; observation minus background difference (O-B); double-difference method.

Online: 27 February 2024 (17:18:19 CET)

Show abstract| Download PDF| Share

This study investigates the long-term stability of the Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) moderate-resolution Thermal Emissive Bands (M TEBs; M12 – M16) covering a period from February 2012 to August 2020. It also assesses inter-sensor consistency of the VIIRS M TEBs among three satellites-S-NPP, NOAA-20, and NOAA-21 over eight months spanning from March 18 to November 30, 2023. The field of interesting is limited to the ocean surface between 60°S and 60°N, specifically under clear-sky conditions. Taking radiative transfer modeling (RTM) as the transfer reference, we employed the Community Radiative Transfer Model (CRTM) to simulate VIIRS TEB brightness temperature (BTs), incorporating European Centre for Medium-range Weather Forecasts (ECMWF) reanalysis data as inputs. Our results reveal two key findings. Firstly, the reprocessed S-NPP VIIRS TEBs exhibit a robust long-term stability, as demonstrated through analyses of the observation minus background BT differences (O-B ∆BTs) between VIIRS measurements (O) and CRTM simulations (B). The drifts of the O-B BT differences are consistently less than 0.105 K/Decade across all S-NPP VIIRS M TEB bands. Notably, observations from VIIRS M14 and M16 stand out with drifts well within 0.04 K/Decade, reinforcing their exceptional reliability for climate change studies. Secondly, excellent inter-sensor consistency among these three VIIRS instruments is confirmed through the double-difference analysis method (O-O). This method relies on the O-B BT differences obtained from daily data. The mean inter-VIIRS O-O BT differences remain within 0.08 K for all M TEBs, except for M13. Even in the case of M13, the O-O BT differences between NOAA-21 and NOAA-20/S-NPP have values of 0.312 K and 0.234 K, respectively, which are comparable to the 0.2 K difference between some TEBs among VIIRS and MODIS. These disparities are primarily attributed to the significant differences in the Spectral Response Function (SRF) of NOAA-21 compared to NOAA-20 and S-NPP. Our study confirms the RTM-based TEB quality evaluation method’s versatility and effectiveness in assessing long-term sensor stability and inter-sensor consistency. The double-difference approach effectively mitigates uncertainties and biases inherent to CRTM simulations, establishing itself a robust mechanism for assessing inter-sensor consistency. In addition, we’ve observed that, except for M13, M12 always exhibits larger spatial variations of O-O BT differences with greater uncertainties compared to the other M TEBs. The influence of solar contribution through sea surface reflection on the Top of Atmosphere (TOA) radiance measurements during daytime in M12 should not be underestimated.

Preprint ARTICLE | doi:10.20944/preprints202408.0387.v1

Coastal Sea Ice Concentration Derived from Marine Radar Images: A Case Study from Utqiaġvik, Alaska

Félix St-Denis, Bruno Louis Tremblay, Andrew R. Mahoney, Pacifica Askitrea Leona Mai Takata-Glushkoff

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Coastal Radar; Sea Ice Concentration; Remote sensing; Utqiaġvik; Arctic

Online: 6 August 2024 (06:20:52 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.2370.v2

Tailoring Deep Learning for Real-Time Brain-Computer Interfaces: From Offline Models to Calibration-Free Online Decoding

Martin Wimpff, Jan Zerfowski, Bin Yang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Motor imagery; Electroencephalography; Deep Learning; Online decoding; Domain adaptation; Calibration-free; Mutual learning

Online: 15 September 2024 (07:32:28 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202012.0482.v1

Decision Support System Este for Nuclear and Radiological Emergencies: Atmospheric Dispersion Models

Ludovít Lipták, Eva Fojcíková, Monika Krpelanová, Viera Fabová, Peter Čarný

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: nuclear accidents; decision support; protective measures, LPM, PTM, CBRN.

Online: 18 December 2020 (16:33:16 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201611.0054.v1

A Hierarchal Risk Assessment Model using the Evidential Reasoning Rule

Xiaoxiao Ji, Jiang Jiang, Jianbin Sun, Yu-wang Chen

Subject: Computer Science And Mathematics, Information Systems Keywords: Risk assessment; Evidential reasoning; Fire/explosion

Online: 9 November 2016 (10:29:29 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.2290.v1

Enhancing Air Quality Predictions on University Campuses: A Machine Learning Approach to PM2.5 Forecasting at the University of Petroșani

Fabian Arun Panaite, Cosmin Rus, Monica Leba, Andreea Cristina Ionica, Michael Windisch

Subject: Engineering, Control And Systems Engineering Keywords: Environmental Monitoring; Pollutant Analysis; IoT Sensors; Predictive Analytics; Urban Sustainability

Online: 30 July 2024 (09:03:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201609.0042.v1

Study on Insulator Flashover Voltage Gradient Correction Considering Soluble Pollution Constituents

Dongdong Zhang, Zhijing Zhang, Xingliang Jiang, Zhongyi Yang, Jiayao Zhao, Yongfu Li

Subject: Engineering, Electrical And Electronic Engineering Keywords: insulator; pollution flashover; equivalent salt deposit density (ESDD); soluble constituent; flashover voltage gradient

Online: 12 September 2016 (10:47:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201701.0078.v1

High Step-up Voltage Gain Converter with Ripple-free Input Current for Renewable Energy Sources

Zhangyong Chen, Yong Chen

Subject: Engineering, Electrical And Electronic Engineering Keywords: input current ripple-free; boost converter; coupled-inductor; voltage-doubler cell; passive lossless clamp circuits; high voltage gain; renewable energy

Online: 17 January 2017 (11:10:36 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201702.0011.v1

Simulation Analysis of Solution Transportation Absorption Chiller with the Capacity from 25 RT to 1000 RT

Koji Enoki, Fumi Watanabe, Seigo Tanaka, Atsushi Akiwawa, Toshitaka Takei

Subject: Engineering, Energy And Fuel Technology Keywords: absorption chiller; thermal energy transportation; solution transportation; ammonia-water; COP; simulation

Online: 4 February 2017 (07:49:12 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.0500.v1

Identification of Convection as a Source for the Gravity Waves Observed in the Upper Mesosphere during Indo-French Campaign on Coupling of Lower and Middle Atmospheres

M. Pramitha, M. Venkat Ratnam, Alok Taori

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Gravity waves; GROGRAT model; ray tracing; convection; airglow ;

Online: 8 April 2024 (05:06:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201608.0123.v1

Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation

Jingjing He, Yibin Zhou, Xuefei Guan, Wei Zhang, Wei Fang Zhang, Yongming Liu

Subject: Engineering, Civil Engineering Keywords: limited sensor data; structural health monitoring; strain/stress response reconstruction; empirical mode decomposition

Online: 11 August 2016 (11:06:16 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202406.0884.v1

Advancements in the Application of CO₂ Capture and 2 Utilization Technologies—a Comprehensive Review

Queendarlyn Adaobi Nwabueze, Smith Leggett

Subject: Engineering, Energy And Fuel Technology Keywords: CO₂ Capture &; Utilization; CO₂ emissions; flue gas; industrial fuels; petrochemicals

Online: 13 June 2024 (05:13:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202308.1084.v1

Observing Material Properties in Composite Structures from Actual Rotations

Seyyedbehrad Emadi, Yuan Sun, Jose A. Lozano-Galant, Jose Turmo

Subject: Engineering, Civil Engineering Keywords: composite structures; observability method; shear rotation; stiffness matrix method; structural system identification

Online: 16 August 2023 (03:20:07 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201611.0081.v1

Symplectic Entropy as a Novel Measure for Complex Systems

Min Lei, Guang Meng, Wenming Zhang, Joshua Wade, Nilanjan Sarkar

Subject: Physical Sciences, Theoretical Physics Keywords: symplectic geometry; symplectic principal component analysis; symplectic entropy; complex system.

Online: 16 November 2016 (12:40:50 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0331.v1

Application of Optimal Scheduling for SAR Satellite Constellation: Multi-Imaging Mission in High-Density Regional Area

Kimoon Lee, Dongjin Kim, Daewon Chung, Seonho Lee

Subject: Engineering, Aerospace Engineering Keywords: Optimal scheduling; Synthetic Aperture Radar (SAR); Satellite constellation; Multi-imaging mission; High-density regional area; Modified Dynamic Programming (MDP)

Online: 6 March 2024 (07:13:48 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.1612.v1

BUB1 Inhibition Sensitizes TNBC Cell Lines to Chemotherapy and Radiotherapy

Sushmitha Sriramulu, Shivani Thoidingjam, Farzan Siddiqui, Stephen L Brown, Benjamin Movsas, Eleanor Walker, Shyam Nyati

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: TNBC; BAY1816032; BUB1; PARP; olaparib; cisplatin; paclitaxel; radiation; chemoradiation

Online: 24 April 2024 (11:35:50 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202404.1677.v1

Features of adaptive phase correction of optical wave distortions under conditions of intensity fluctuations

Vladimir Petrovich Lukin

Subject: Physical Sciences, Optics And Photonics Keywords: optical waves, turbulence, amplitude, phase, dislocations, measurement, correction

Online: 25 April 2024 (12:40:34 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202408.0574.v1

Residue Addition Can Mitigate Soil Health Challenges with Climate Change in Drylands: Insights from a Field Warming Experiment in Semi-arid Texas

Pawan Devkota, Rakesh K Singh, Nicholas G Smith, Lindsey C Slaughter, Natasja C van Gestel

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: soil warming; Open top chambers; Climate Change; Soil Carbon Dynamics; Microbial Biomass Carbon; Soil Management; Semi-arid environment; Regenerative Agriculture

Online: 8 August 2024 (08:49:02 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202405.1426.v1

Early 2-Factor Transcription Factors Associated with Progression and Recurrence in Bevacizumab-Responsive Subtypes of Glioblastoma

Jian Shi

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: glioblastoma (GBM); recurrent mechanism; bevacizumab (BVZ); E2F family

Online: 22 May 2024 (08:30:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0315.v1

Numerical Simulation Of Nonlinear Advection-Diffusion-Fractional Equation of Pollutants in Porous Media

Calvia Madie Yonti, Fulbert Togue Kamga

Subject: Environmental And Earth Sciences, Pollution Keywords: groundwater; fractional-advection-dispersion; contaminant; non-linear absorption

Online: 7 May 2024 (03:15:34 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201607.0051.v1

Search for QPOs in the Light Curve of the Blazar OJ287: Preliminary Results from 2015/16 Observing Campaign

S. Zola, M. Valtonen, G. Bhatta, A. Goyal, B. Debski, A. Baran, J. Krzesinski, M. Siwak, S. Ciprini, A. Gopakumar, H. Jermak, K. Nilsson, D. Reichart, K. Matsumoto, K. Sadakane, K. Gazeas, M. Kidger, V. Piirola, F. Alicavus, K.S. Baliyan, A. Berdyugin, D. Boyd, M. Campas Torrent, F. Campos, J. Carrillo Gomez, D.B. Caton, V. Chavushyan, J. Dalessio, D. Dimitrov, M. Drozdz, A. Erdem, A. Escartin Perez, V. Fallah Ramazani, A.V. Filippenko, F. Garcia, F. Gomez Pinilla, M. Gopinathan, J.B. Haislip, J. Harmanen, G. Hurst, K.M. Ivarsen, M. Jelinek, A. Joshi, M. Kagitani, N. Kaur, N. Karaman, W.C. Keel, A.P. LaCluyze, B.C. Lee, E. Lindfors, J. Lozano De Haro, J.P. Moore, R. Naves Nogues, A.W. Neely, R.H. Nelson, W. Ogloza, S. Okano, J.C. Pandey, M. Perri, P. Pihajoki, G. Poyner, J. Provencal, T. Pursimo, A. Raj, R. Reinthal, S. Sadegi, T. Sakanoi, J.-L. Salto Gonzales, T. Schweyer, F.C. Soldan Alfaro, E. Sonbas, I. Steele, J.T. Stocke, J. Strobl, L.O. Takalo, T. Tomov, L. Tremosa Espasa, J.R. Valdes, J. Valero Perez, F. Verrecchia, J.R. Webb, M. Yoneda, M. Zejmo, W. Zheng, J. Telting, J. Saario, T. Reynolds, A. Kvammen, E. Gafton, R. Karjalainen, P. Blay

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies: active; BL Lacertae objects: individual (OJ 287); super massive black holes

Online: 18 July 2016 (10:46:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201612.0064.v1

Estimation of Downwelling Surface Longwave Radiation under Heavy Dust Aerosol Sky

Chunlei Wang, Bo-Hui Tang, Hua Wu, Ronglin Tang, Zhao-Liang Li

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Downwelling surface longwave radiation (DSLR); dust aerosol; aerosol optical depth (AOD); MODIS

Online: 12 December 2016 (14:58:20 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.2364.v1

A Novel Noninvasive Murine Model of Neonatal Hypoxic Ischemic Encephalopathy Demonstrates Developmental Delay and Motor Deficits with Activation of Inflammatory Pathways in Monocytes

Elise A. Lemanski, Bailey A. Collins, Andrew T. Ebenezer, Sudha Anilkumar, Victoria Langdon, Qi Zheng, Shanshan Ding, Karl Franke, Jaclyn M. Schwarz, Elizabeth Wright-Jin

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: hypoxic ischemic encephalopathy; maternal immune activation; motor; development; microglia; macrophages

Online: 30 July 2024 (04:38:28 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202407.0992.v1

Optical Detection of Underwater Propeller Wake Based on a Position-Sensitive Detector

Guanlong Zhou, Qin Liu, Hu Wang, Liyan Li, Yan Zhou, Xinyu Chen

Subject: Physical Sciences, Optics And Photonics Keywords: underwater propeller wake; position-sensitive detector; optical detection

Online: 12 July 2024 (08:40:38 CEST)

Show abstract| Download PDF| Share

The study of underwater vehicle wake detection is of significant importance within the field of target detection, localisation and tracking of underwater vehicles. Given that propellers are the propellers of modern ships and underwater vehicles, the propeller wake field represents the principal target source for wake detection in underwater vehicles. The objective of this paper is to propose a method for measuring the wake of an underwater propeller based on a position-sensitive detector. A theoretical model of the relationship between the laser spot displacement and the change of refractive index of the wake field is established on the basis of the principle of laser beam deflection. A prototype experimental setup for underwater propeller wake measurement was constructed based on the aforementioned optical measurement method. Furthermore, the simulation of the propeller wake flow field with strong density stratification and linear density stratification was conducted based on the experimental setup. In the experiment, a three-bladed propeller with a diameter of 39mm was selected, the water tank size was 980mm×380mm×380mm, and the laser acted at a distance of 550 mm from the propeller. The experimental results indicate that the wake dissipation time of the propeller in a strong density-stratified water environment is approximately 800s. Following the stabilization of the wake field density, the laser spot position is observed to be stable at 0.341 mm, with a corresponding refractive index change of 2.99×10-6 RIU. The wake dissipation time of the propeller in a linear density-stratified water environment is approximately 750 s. Once the wake field density has reached a stable state, the laser spot position is found to be 0.441mm, corresponding to a refractive index change of 3.87×10-6 RIU. These experimental results are found to be in general agreement with the simulation results of the propeller wake field. A comparison of the experimental device-based wake measurements with the CTD-based wake measurements reveals a consistent trend.

Preprint ARTICLE | doi:10.20944/preprints202404.1147.v1

Polarization and Incident Angle Independent Multifunctional and Multiband Tunable THz Metasurface Based on VO₂

Rehmat Iqbal, Cao Jie, Ubaid ur Rahman Qureshi, Zia Ur Rehman, Naveed Jafar

Subject: Engineering, Other Keywords: Metasurface; Terahertz (THz); Polarization Conversion; Absorption; Polarization angle; vanadium dioxide (VO₂)

Online: 17 April 2024 (13:33:12 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202304.0922.v1

Design and Implementation of an Orbitrap Mass Spectrometer Data Acquisition System for Atmospheric Molecule Identification

Wei Wang, Yongping Li

Subject: Engineering, Electrical And Electronic Engineering Keywords: data acquisition; Orbitrap mass spectrometry; spectrum analysis; FPGA; FFT analysis

Online: 25 April 2023 (10:29:05 CEST)

Show abstract| Download PDF| Share

Orbitrap mass spectrometers have been widely used in environmental component analysis . This paper presents an enhanced data acquisition system for in-situ detection of Orbitrap mass spectrometry, which enables in-suit real-time signal processing and analysis for atmospheric molecules with small mass numbers.During previous space atmospheric explorations, quadrupole mass spectrometry (QMS) was usually utilized for analyzing isotopic compositions and complicated compounds in the mixture. However, the inevitable ion scattering and drift during mass transfer, as well as the QMS attenuator loss, result in a relatively lower signal-to-noise ratio of the produced mass spectrum. In recent years, a novel mass spectrometer, called an Orbitrap mass spectrometer, has been gradually accepted and used because of its non-destructive detection ability, high mass resolution, and accuracy. Nevertheless, Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) is preferred over the Orbitrap mass spectrometry for ground applications, especially for detecting low-mass components (e.g. below 50 atomic mass units) due to the former’s superior resolution. As the mass number decreases, the detection system demands a higher sampling and processing rate. Additionally, in ground-based scenarios, mass spectrometry analysis software on computers is often employed to analyze the signals. Therefore, in order to achieve in-situ detection of the space atmospheric environment using the Orbitrap mass spectrometer, this paper proposes a real-time signal acquisition and processing system for mass spectrometry analysis. The system comprises of signal conditioning circuits, analog-to-digital conversion circuits, programmable logic circuits, and related software. These components perform spectrum analysis and process the signal in real-time on hardware components, allowing for high-speed acquisition and analysis of the signals produced by the Orbitrap mass spectrometer.

Preprint ARTICLE | doi:10.20944/preprints202406.1817.v1

Measurement Error Analysis of Seawater Refractive Index Measurement Sensor Based on a Position-Sensitive Detector

Guanlong Zhou, Liyan Li, Yan Zhou, Xinyu Chen

Subject: Physical Sciences, Optics And Photonics Keywords: refractive index measurement sensor; error analysis; Position-Sensitive Detector; optical measurement

Online: 26 June 2024 (14:43:12 CEST)

Show abstract| Download PDF| Share

The refractive index of seawater is one of the essential parameters in ocean observation, so it is necessary to achieve high-precision seawater refractive index measurements. A seawater refractive index measurement system based on position-sensitive detectors is an effective means to achieve high-precision measurement of seawater refractive index. However, in the actual seawater refractive index measurement process, the impact of the measurement error caused by the jitter signal obtained from the measurement on the measurement results cannot be ignored. In this paper, we theoretically analyse the causes of the long jitter signals during seawater refractive index measurement and quantify the influencing factors. Through the analysis, it can be seen that the angle between the two windows in the refractive index measurement area of seawater causes a great error on the measurement results, so the angle between the two windows should be controlled within 2.06° in order to effectively reduce the measurement error. At the same time, the factors affecting the measurement accuracy of the position-sensitive detector are analysed, and the factors leading to the reduction of the measurement accuracy of the position-sensitive detector are mainly the background light, the size of the photosensitive surface, and the change of the temperature of the working environment. For the above factors, we add a narrow-band filter with a bandwidth of 0.9nm in front of the photosensitive surface of the position-sensitive detector during the construction of the measurement system, so as to filter out stray light other than the signal light source. On the premise of ensuring the measuring range of the refractive index of seawater, a position-sensitive detector with a photosensitive surface size of 4 mm×4 mm was selected. In order to reduce the temperature variation of the working environment of the position-sensitive detector, the measurement system was partitioned. In order to validate the testing error range of the optimised test system, standard seawater samples under the same conditions were measured. It can be seen that the jitter signal of the measurement system has been reduced from 0.0022mm before the optimisation to 0.0011mm after the optimisation, and the deviation of the refractive index has been reduced by 1.09×10−8RIU. The experimental results show that the refractive index of seawater has been effectively reduced by adjusting the optical path and the structure of the seawater refractive index measurement system.

Preprint ARTICLE | doi:10.20944/preprints202406.0638.v1

Ensemble Machine Learning on Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use Land Cover Mapping

Mukti Subedi, Carlos Portillo-Quintero, Nancy McIntyre, Samantha Kahl, Robert Cox, Gad Perry, Xiaopeng Song

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Bagging; Boosting; Stacking; GEOBIA; Autocorrelation; Target-oriented Validation; Data fusion

Online: 11 June 2024 (08:40:14 CEST)

Show abstract| Download PDF| Share

In the United States, several land use and land cover (LULC) data sets are available based on Landsat. These data sets often fail to accurately represent the features on the ground despite having several advantages over other data. Detailed mapping of complex heterogeneous landscapes for informed decision-making is possible using high spatial resolution orthoimagery from the National Agricultural Imagery Program (NAIP). However, large-area mapping at this resolution remains challenging due to radiometric differences between scenes, low spectral depth of imagery, landscape heterogeneity, and computational limitations. Machine learning (ML) techniques have shown promise in improving LULC maps. The primary purposes of this study are to examine and evaluate bagging (Random Forest; RF), Boosting (Gradient Boosting Machines [GBM] and Extreme Gradient Boosting [XGB]), and stacking ensemble models on sentinel 2A fusion data on NAIP imagery. We also compared the accuracy based on random cross-validation (80% / 20% split) without accounting for spatial autocorrelation and target-oriented validation (10 clusters) accounting for spatial structures of the training data set. To make the LULC map of a portion of Tom Green and Irion counties in central Texas, we used a time series of sentinel data and NAIP orthoimagery. We created several spectral indices, structural variables, and geometry-based variables, reducing the dimensionality of features generated on Sentinel and NAIP data. The random and target-oriented validation results show that autocorrelation in the training data offers over-optimistic results. In our case, the overestimation ranged from 2 % to 3.5 %. The XGB-boosted stacking ensemble on-base learners (RF, XGB, and GBM) improved model performance over individual base-learner. The main contribution of this research is that meta-learners are just as sensitive to overfitting as base models, as these algorithms are not designed to account for spatial information. Finally, we show that the fusion of Sentinel 2A data with NAIP data improves land use land cover classification using Geographic Object-Based Image Analysis (GEOBIA).

Preprint ARTICLE | doi:10.20944/preprints202408.0185.v2

A Preliminary Fuzzy Inference System for Predicting Atmospheric Ozone in an Intermountain Basin

John R. Lawson, Seth N. Lyman

Subject: Environmental And Earth Sciences, Pollution Keywords: fuzzy logic; machine intelligence; ozone; forecasting; air quality; meteorology; decision-making

Online: 9 September 2024 (12:47:25 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.1629.v1

CCA-Transformer: Cascaded Cross-Attention Based Transformer for Facial Analysis in Multi-modal Data

Jun-Hwa Kim, Namho Kim, Minsoo Hong, Cheesun Won

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: face analysis; expression; valence-arousal; action unit

Online: 27 March 2024 (06:11:04 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0081.v1

Wildfires, Vulnerability, and Climate Change: Methodology and Application to the Regions of Greece #

Petros Xepapadeas, Kostantinos Douvis, Ioannis Kapsomenakis, Anastasios Xepapadeas, Christos Zerefos

Subject: Environmental And Earth Sciences, Ecology Keywords: wildfires; regional vulnerability; climate change; ecosystem services; multicriteria decision making; Poisson regression.

Online: 2 May 2024 (06:06:25 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202312.1052.v4

Innovative Cloud Quantification: Deep Learning Classification and Finite Sector Clustering for Ground-Based All Sky Imaging

Jingxuan Luo, Yubing Pan, Debin Su, Jinhua Zhong, Lingxiao Wu, Wei Zhao, Xiaoru Hu, Zhengchao Qi, Daren Lu, Yinan Wang

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: cloud quantification; deep neural networks; adaptive segmentation; finite element clustering; whole sky image

Online: 16 April 2024 (02:39:14 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202408.2113.v1

Optimizing Pancreatic Cancer Therapy: The Promise of Immune Stimulatory Oncolytic Viruses

Shivani Thoidingjam, Aseem Rai Bhatnagar, Sushmitha Sriramulu, Farzan Siddiqui, Shyam Nyati

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: oncolytic viruses (OVs); cancer immunotherapy; DNA and RNA viruses; advanced pancreatic adenocarcinoma

Online: 29 August 2024 (12:00:58 CEST)

Show abstract| Download PDF| Share

Pancreatic cancer presents formidable challenges due to rapid progression and resistance to conventional treatments. Oncolytic viruses (OVs) selectively infect cancer cells and cause cancer cells to lyse, releasing molecules that can be identified by the host’s immune system. Moreover, OV can carry immune-stimulatory payloads such as interleukin-12 which when delivered locally can enhance immune system-mediated tumor killing. OV’s are very well tolerated by cancer patients due to their ability to selectively target tumors without affecting surrounding normal tissues. OV’s have recently been combined with other therapies including chemotherapy and immunotherapy to improve clinical outcomes. Several OVs including adenovirus, herpes simplex viruses (HSV), vaccinia virus, parvovirus, reovirus, and measles virus have been evaluated in preclinical and clinical settings for the treatment of pancreatic cancer. We evaluated the safety and tolerability of a replication-competent oncolytic adenoviral vector carrying two suicide genes (thymidine kinase, TK; and cytosine deaminase, CD) and human interleukin-12 (hIL12) in metastatic pancreatic cancer patients in a phase 1 trial. This vector was found to be safe and well-tolerated at the highest doses tested without causing any significant adverse events (SAE). Moreover, long-term follow-up studies indicated an increase in the overall survival (OS) in subjects receiving the highest dose of the OV. Our encouraging long-term survival data provide hope for patients with advanced pancreatic cancers, a disease that has not seen a meaningful increase in OS in the last five decades. In this review article, we highlight several preclinical and clinical studies and discuss future directions for optimizing OV therapy in pancreatic cancer. We envision OV-based gene therapy to be a game changer in the near future with the advent of newer generation OVs that have higher specificity and selectivity combined with personalized treatment plans developed under AI guidance.

Preprint ARTICLE | doi:10.20944/preprints202408.1054.v1

Developing a Mobility as a Service Status Index: A Quantitative Approach Using Mobility Market and Macroeconomic Metrics

Tabea Fian, Georg Hauger

Subject: Engineering, Transportation Science And Technology Keywords: Mobility as a Service (MaaS); MaaS Status Index (MSI); Mobility Market Metrics; Economic Mobility Metrics; Urban Transportation

Online: 14 August 2024 (11:55:10 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202408.1061.v1

Present and Future of Immunotherapy for Triple-Negative Breast Cancer

Sushmitha Sriramulu, Shivani Thoidingjam, Corey Speers, Shyam Nyati

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: TNBC; triple-negative breast cancer; immunotherapy; immune checkpoint inhibitors; radiation therapy; chemotherapy

Online: 14 August 2024 (14:18:41 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.1448.v1

Integrating LiDAR Sensor Data to Microsimulation Model 2 Calibration for Proactive Safety Analysis

Morris Igene, Qiyang Luo, Keshav Jimee, Mohammad Soltanirad, Tamer Bataineh, Hongchao Liu

Subject: Engineering, Civil Engineering Keywords: LiDAR; VISSIM; Calibration; SSAM; Negative Binomial; Crash Prediction.

Online: 20 June 2024 (14:31:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.1260.v1

Pump System Model Parameter Identification Based on Experimental and Simulation Data

Sheldon Wang, Dalong Gao, Alexandria Wester, Kalyb Beaver, Shanae Edwards, Carrieanne Taylor

Subject: Engineering, Mechanical Engineering Keywords: inverse; optimization; viscoelastic; computation

Online: 18 April 2024 (13:02:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0213.v2

The Impact of SMOTE and ADASYN on Random Forest and Advanced Gradient Boosting Techniques in Telecom Customer Churn Prediction

Mehdi Imani, Zahra Ghaderpour, Majid Joudaki, Ali Beikmohammadi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: customer churn prediction; machine learning; classification techniques; SMOTE; ADASYN; Random Forest; XGBoost; LightGBM; CatBoost

Online: 10 April 2024 (07:57:46 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202405.0900.v1

Immuno-Haematologic Aspects of Dengue Infection: Biologic Insights and Clinical Implications

Cherie Tan, Clarice Shi Hui Choong, Muhammad Bilal Abid, Matthew W Weber, Eng Soo Yap, Suranjith L Seneviratne, Visula Abeysuriya, Sanjay de Mel

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Dengue; Immunohematology; Thrombocytopaenia; Immune dysregulation; Haemostatis

Online: 14 May 2024 (08:27:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.0511.v1

Sarc-Global: A New Sarcopenia Screening Tool in Older Adults

Natalia Correia Lopes, Ana Carolina Costa Vicedomini, Natalia Vieira Magalhães, Dan L. Waitzberg, Wilson Jacob-Filho, Alexandre Leopold Busse, Douglas Ferdinando, Rosa Maria Rodrigues Pereira, Raquel S. M. M. Torrinhas, Giliane Belarmino

Subject: Public Health And Healthcare, Other Keywords: sarcopenia; older adults; sarcopenia screening; Sarc-F; Sarc-CalF; Sarc-Global

Online: 8 April 2024 (08:27:54 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202309.1117.v1

Observing Liquid Sloshing based on Multi-DOF Pendulum Model and Free Surface Fluctuation Sensor

Xiaojing Qi, Yingchao Zhang, Bolin Gao

Subject: Engineering, Automotive Engineering Keywords: liquid sloshing,; observer; multi-DOF pendulum model; free surface fluctuation sensor

Online: 18 September 2023 (10:28:41 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.1065.v1

Turbulent Energy and Carbon Fluxes in an Andean Montane Forest - Energy Balance and Heat Storage

Charuta Murkute*, Mostafa Sayeed, Franz Pucha-Cofrep, Galo Carillo Rojas, Jürgen Homeier, Oliver Limberger, Andreas Fries, Jörg Bendix, Katja Trachte

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: energy balance closure; heat storage; carbon fluxes; eddy covariance; Andes Mountains

Online: 13 September 2024 (09:37:15 CEST)

Show abstract| Download PDF| Share

High mountain rainforests are vital in the global energy and carbon cycle. Understanding the exchange of energy and carbon plays an important role to reflect responses to climate change. In this study, an eddy-covariance (EC) measurement system installed in the high Andean Mountains of South Ecuador was used. As EC measurements are affected by heterogeneous topography and vegetation height, the main objective was to estimate the effect of the sloped terrain and the forest on the turbulent energy and carbon fluxes considering the energy balance closure (EBC) and the heat storage. The results showed that the performance of the EBC was generally good and estimated to be 79.5%. This could be improved when the heat storage effect was considered. Based on the variability of the residuals in the diel modifications in the imbalances were highlighted. Particularly, during daytime residuals were largest (56.9 W/m² on average) with a clear overestimation. At nighttime mean imbalances were rather weak (6.5 W/m²) and mostly positive, while strongest underestimations developed in the transition period to morning hours (down to -100 W/m²). With respect to the Monin-Obukhov stability parameter ((z-d)/L) and the friction velocity (u*) it was revealed that largest overestimations evolved in weak unstable and very stable conditions associated with large u* values. In contrast, underestimation was related to very unstable conditions. The estimated carbon fluxes were independently modelled with a non-linear regression using a light-response relationship and reached a good performance (R²=0.52). All fluxes were additionally examined in the annual course to estimate whether both, energy and carbon fluxes, resembled the microclimatological conditions of the study site. This unique study demonstrated that EC measurements provide valuable insights into land surface -atmosphere interactions and contribute to our understanding of energy and carbon exchanges. Moreover, the flux data provide an important basis to validate coupled atmosphere ecosystem models.

Preprint ARTICLE | doi:10.20944/preprints202407.2277.v1

Investigating School Principals' Burnout: A Cross-Cultural Perspective on Stress, Sustainability, and Organizational Climate

Remus Sibisanu, Stanislav Cseminschi, Andreea Ionica, Monica Leba, Anca Draghici, Yunis Nassar

Subject: Engineering, Other Keywords: stress; burnout; heartrate; organizational climate; fuzzy; high school principals’ wellbeing

Online: 29 July 2024 (09:38:35 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.0676.v1

Microbiome Dysbiosis Associates to Castration Resistance and Cancer Stemness in Metastatic Prostate Cancer

Matthew Uzelac, Ruomin Xin, Weg M. Ongkeko

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: prostate cancer; castration-resistant prostate cancer; microbiome; cancer stem cells

Online: 12 February 2024 (10:44:58 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.1602.v1

Study of Atmospheric Plasma-Based Mass Separation System for High-Level Radioactive Waste Treatment

Hossam A.Gabbar, Sharif Abu Darda

Subject: Engineering, Energy And Fuel Technology Keywords: Thermal plasma; mass separation; Nuclear waste treatment; High-level radioactive waste treatment; material processing

Online: 25 July 2023 (03:22:56 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.0951.v1

Strategic Pathways to Decarbonization: Socio-Technical System Innovations for Green Shipping Compliance with IMO 2050 Targets

Jeongmin Lee, Minseop Sim, Yulseong Kim, Changhee Lee

Subject: Social Sciences, Transportation Keywords: green shipping; IMO 2050; alternative marine fuels; socio-technical systems analysis; sustainable future

Online: 19 February 2024 (10:12:50 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202207.0386.v1

On Improved PSO and Neural Network P&O Methods for PV System under Shading and Various Atmospheric Conditions

Wafa Hayder, Dezso Sera, Emanuele Ogliari, Abderezak Lashab

Subject: Engineering, Control And Systems Engineering Keywords: Maximum Power Point Tracking (MPPT); Improved Particle Swarm Optimization (IPSO); photo-voltaic (PV); Neural Network and Perturb & Observe method (NN-P&O)

Online: 26 July 2022 (05:41:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.2209.v1

The Impact of the Information Use Environments (IUEs) and Information Behavior of People Living with Neglected Tropical Diseases (NTDs) on Participatory Diagnosis and Treatment Programming

Uriel Uzochukwu Onye

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Neglected tropical diseases (NTDs); Diseases of poverty; Information use environments (IUEs); Information behavior; Information in-context

Online: 29 July 2024 (11:10:57 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.1207.v1

How the Choice of the Starting Time of the Observation Day May Affect Daily Precipitation Amounts and Extremes: Problem Analysis and Adjustment Methods

Francesca Becherini, Claudio Stefanini, Antonio Della Valle, Francesco Rech, Fabio Zecchini, Dario Camuffo

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: daily precipitation; time of observation; time series; aggregation method; adjustment method; hourly dataset; daily extremes

Online: 22 February 2024 (01:19:32 CET)

Show abstract| Download PDF| Supplementary Files| Share

The study of precipitation amount at different time scales constitutes an important issue in climate research and risk assessment. When dealing with daily totals, a frequent but sometimes underestimated problem is at what time the observation day begins. The choice of different starting times may lead to incompatibility between stations and incorrect identification of extreme events. In this work, the problem of temporal misalignment between precipitation datasets characterized by different starting time of the observation day is analyzed. The most widely used adjustment methods (1day and uniform shift) and two methods based on reanalysis (NOAA and ERA5) are evaluated in terms of temporal alignment, precipitation statistics and percentile distributions. As test series, the precipitation amount collected from 9 a.m. local time (09 LT) on the previous day to 09 LT on the target day (9-9 datasets) of the Padua and nearby stations in the period 1993-2022 have been selected. Results show that the reanalysis-based methods, in particular ERA5, outperform the others in temporal alignment, regardless the station. But, for the periods in which reanalysis data are not available, “1day” method, which shifts the daily amount back one calendar day, and “unif” method, which distributes uniformly the daily total from a 2-day moving window surrounding the target date, can be considered valid alternatives. On the other side, concerning the precipitation statistics, the reanalysis-based methods are not the best option, as they increase the precipitation frequency and reduce the mean value over wet days, NOAA much more than ERA5. Nevertheless, the uniform method provides a larger deviation from the original daily series. The use of the series of a station nearby the target one, which is mandatory in case of missing data, gives similar or better results than applying any adjustment method to the 9-9 series. General conclusions can hardly be drawn as they depend on the method and station. For the Padua dataset, the analysis was repeated at monthly and seasonal resolution. In general, the adjustment series show the most relevant changes in the precipitation statistics in summer and less temporal alignment with the original series in summer and autumn, the two seasons mainly affected by heavy rains in Padua. Finally, the percentiles distribution, analyzed for all the methods and stations, indicates that any adjustment method underestimates the percentile values, except ERA5. Only Legnaro, the station most correlated with Padua, gives results like ERA5.

Preprint REVIEW | doi:10.20944/preprints202311.1770.v1

A Review of User Perceptions of Drought Indices and Indicators Used in the Diverse Climates of North America

Richard R. Heim Jr., Deborah J. Bathke, Barrie Bonsal, Ernest W. T. Cooper, Trevor Hadwen, Kevin Kodama, Dan McEvoy, Meredith Muth, John W. Nielsen-Gammon, Reynaldo Pascual Ramirez, Holly R. Prendeville, Brad Rippey, David B. Simeral, Richard L. Thoman Jr., Michael S. Timlin

Subject: Environmental And Earth Sciences, Other Keywords: user-inspired science; drought impacts; Canada; United States; Mexico; Pacific Islands; Caribbean Islands; user engagement; Kö; ppen climate zones; climate change; drought in tropical climates; drought in polar climates

Online: 28 November 2023 (09:09:54 CET)

Show abstract| Download PDF| Supplementary Files| Share

Drought monitoring and early detection have improved greatly in recent decades through the development and refinement of numerous indices and indicators. However, a lack of guidance, based on user experience, exists as to which drought monitoring tools are most appropriate in a given location. This review paper summarizes the results of targeted user engagement and the published literature to improve the understanding of drought across North America, and to enhance the utility of drought monitoring tools. Workshops and surveys were used to assess and make general conclusions about the perceived performance of drought indicators, indices and impacts information used for monitoring drought in the five main Köppen climate types (Tropical, Temperate, Continental, Polar Tundra, Dry) found across Canada, Mexico, and the United States. In Tropical, humid Temperate, and southerly Continental climates, droughts are perceived to be more short-term (less than 6 months) in duration rather than long-term (more than 6 months). In Polar Tundra climates, Dry climates, Temperate climates with dry warm seasons, and northerly Continental climates, droughts are perceived to be more long-term than short-term. In general, agricultural and hydrological droughts were considered to be the most important drought types. Drought impacts related to agriculture, water supply, ecosystem, and human health were rated to be of greatest importance. Users identified the most effective indices and indicators for monitoring drought across North America to be the U.S. Drought Monitor (USDM) and Standardized Precipitation Index (SPI) (or another measure of precipitation anomaly), followed by the Normalized Difference Vegetation Index (NDVI) (or another satellite-observed vegetation index), temperature anomalies, crop status, soil moisture, streamflow, reservoir storage, water use (demand), and reported drought impacts. Users also noted the importance of indices that measure evapotranspiration, evaporative demand, and snow water content. Drought indices and indicators were generally thought to perform equally well across seasons in Tropical and the colder Continental climates, but their performance was perceived to vary seasonally in Dry, Temperate, Polar Tundra, and the warmer Continental climates, with improved performance during warm and wet times of the year. The drought indices and indicators, in general, were not perceived to perform equally well across geographies. This review paper provides guidance on when (time of year) and where (climate zone) the more popular drought indices and indicators should be used. The paper concludes by noting the importance of understanding how drought, its impacts, and indicators are changing over time as the climate warms, and by recommending ways to strengthen the use of indices and indicators in drought decision-making.

Preprint ARTICLE | doi:10.20944/preprints202405.0420.v1

Reservoir Routing and Its Application to Atmospheric Carbon Dioxide Balance

Demetris Koutsoyiannis

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: mass balance; continuity equation; reservoir routing; residence time; response time; carbon dioxide

Online: 8 May 2024 (00:24:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202406.0076.v1

Determination of Atmospheric Pollen Grains by Volumetric Method in Sarıkamış District (Kars-Türkiye)

Salih Akpınar, Mustafa Kemal Altunoğlu

Subject: Biology And Life Sciences, Plant Sciences Keywords: atmospheric pollen; pollen calendar; Sarıkamış

Online: 4 June 2024 (02:31:36 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202405.0886.v1

Use of the Drone for Cost-Effective Surveys In Natura 2000 Protected Areas: A Case Study on Monitoring Plant Diversity in Sicily (Italy)

Gianmarco Tavilla, Alessandro Crisafulli, Pietro Minissale, Valeria Tomaselli, Maria Adamo

Subject: Environmental And Earth Sciences, Ecology Keywords: endemic species; landscape monitoring; Mediterranean flora; remote sensing; Saxifraga; vascular flora

Online: 13 May 2024 (16:55:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0284.v1

Sympathetic Innervation of Interscapular Brown Adipose Tissue is not a Predominant Mediator of Oxytocin-Induced Brown Adipose Tissue Thermogenesis in Female High Fat Diet-Fed Rats

Andrew D. Dodson, Adam J. Herbertson, Mackenzie K. Honeycutt, Ron Vered, Jared D. Slattery, Matvey Goldberg, Edison Tsui, Tami Wolden-Hanson, James L. Graham, Tomasz A. Wietecha, Kevin D. O'Brien, Peter J. Havel, Carl L. Sikkema, Elaine R. Peskind, Thomas O. Mundinger, Gerald J. Taborsky, Jr., James E. Blevins

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: Obesity; brown adipose tissue; oxytocin; female rodents

Online: 5 September 2024 (06:08:17 CEST)

Show abstract| Download PDF| Share

Previous studies in our lab show that that administration of OT into the fourth ventricle (4V; hindbrain) elicits weight loss and stimulates interscapular brown adipose tissue temperature (T_IBAT) in male DIO rats. What remains unclear is whether chronic hindbrain (4V) OT can impact body weight in female high fat diet-fed (HFD) rodents and whether this involves activation of BAT. We hypothesized that OT-elicited stimulation of sympathetic nervous system (SNS) activation of IBAT contributes to its ability to activate BAT and reduce body weight in female high fat diet-fed rats. To test this hypothesis, we determined the effect of disrupting SNS activation of IBAT on OT-elicited stimulation of T_IBAT and reduction of body weight in DIO rats. We first measured the impact of bilateral surgical SNS denervation to IBAT on the ability of acute 4V OT (0.5, 1, and 5 µg ≈ 0.5, 0.99, and 4.96 nmol) to stimulate T_IBAT in female HFD-fed rats. We found that the high dose of 4V OT (5 µg ≈ 4.96 nmol) stimulated T_IBAT similarly between sham rats and denervated rats (P=NS). We subsequently measured the effect of bilateral surgical denervation of IBAT on the effect of chronic 4V OT (16 nmol/day ≈ 16.1 mg/day) or vehicle infusion to reduce body weight, adiposity and energy intake in female HFD-fed rats (N=7-8/group). Chronic 4V OT reduced body weight gain (sham: -18.0±4.9 g; denervation: -15.9±3.7 g) and adiposity (sham: -13.9±3.7 g; denervation: -13.6±2.4 g) relative to vehicle treatment (P<0.05) and these effects were similar between groups (P=NS). These effects were attributed, in part, to reduced energy intake evident during weeks 2 (P<0.05) and 3 (P<0.05). To test whether these results translate to other female rodent species, we also examined the effect of chronic 4V infusion of OT on body weight and adiposity in two strains of female HFD-fed mice. Similar to what we found in the HFD-fed rat model, we also found that chronic 4V OT (16 nmol/day) infusion resulted in reduced body weight gain, adiposity and energy intake in female DIO C57BL/6J and DBA/2J mice (P<0.05 vs vehicle). Together, these findings suggest that 1) sympathetic innervation of IBAT is not necessary for OT-elicited increases in BAT thermogenesis and weight loss in female HFD-fed rats and 2) the effects of OT to elicit weight loss translate to other mouse models of diet-induced obesity.

Preprint ARTICLE | doi:10.20944/preprints201806.0324.v1

Evaluating the Impacts of Ground and Atmospheric Conditions on the Efficiency of Solar Energy System and Its Economic Analysis

Ali Saleh Aziz, Mohammad Faridun Naim Tajuddin, Sanjeevikumar Padmanaban, Lucian Mihet-Popa, Mohd Rafi Adzman, Makbul A. M. Ramli

Subject: Engineering, Electrical And Electronic Engineering Keywords: Renewable Energy; solar energy; PV panels slope; azimuth; temperature; albedo

Online: 20 June 2018 (14:22:44 CEST)

Show abstract| Download PDF| Share

The There are many factors influencing the performance of photovoltaic (PV) systems. Among these factors, temperature and solar radiation are two major parameters that have a large effect on the efficiency of PV systems. The cell temperature of PV panels is related to the ambient temperature while the solar radiation incident on the surface of the PV modules depends on the slope and azimuth of these modules. Furthermore, ground reflectance (albedo) affects the irradiance incident on the PV panel surface, which in turn affects the output of a PV system. Nevertheless, the effects of these factors on the economic performance of the solar PV systems are scarcely reported. This paper presents a complete design of a stand-alone PV/battery system to supply electric power for a mobile base station in Choman, Erbil, Iraq. The effects of different factors on the total electricity produced by PV arrays and its economic performance are simultaneously investigated. HOMER software has been used as a tool for the techno-economic and environmental analysis. As indicated from the simulation results, the PV array capacity and its economic performance are highly affected by the variation of the slope and azimuth. With a base case (albedo of 20% and average annual ambient temperature of 11°C), the best feasible system which is achieved by facing PV due to south with a tilt angle of 40° or 45°, is found to have net present cost (NPC) of 70595 $ and cost of energy (COE) of 0.54 $/kWh. Moreover, the results indicate that increasing the ground reflectance from 10% to 90% results in a 7.2% decrease in the PV array capacity and about 3% decrease in the NPC and COE. On the other hand, increasing the ambient temperature from 0°C to 40°C results in a 19.7% increase in the PV array capacity and an 8.2% increase in the NPC and COE. Furthermore, according to the ambient temperature of Choman, using PV modules with high sensitivity to temperature is found to be an attractive option. Provided simulation performance analysis proves that the studied parameters must be treated well to establish an enabling environment for solar energy development in Iraq.

Preprint ARTICLE | doi:10.20944/preprints201611.0131.v1

Transforming Food Systems at Local Levels: Using Participatory System Dynamics in an Interactive Manner to Refine Small-Scale Farmers’ Mental Models

Birgit Kopainsky, Gerid Hager, Hugo Herrera, Progress H. Nyanga

Subject: Biology And Life Sciences, Food Science And Technology Keywords: adaptation; mental model refinement; food systems; knowledge management participatory modeling; system dynamics; systems thinking

Online: 27 November 2016 (04:12:49 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.0489.v1

Multifractal Dynamics and Complexity Transformation in the Tanker Freight Market

Feier Chen, Xiaofeng Liang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Tanker freight rate; Multifractal detrended fluctuation analysis; Multifractal detrending moving average; Temporal correlations; Finite size effect; Complexity Transformation

Online: 8 March 2024 (04:50:38 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202404.1566.v1

Revealing GLCM Metric Variations across Plant Disease Dataset: A Comprehensive Examination and Future Prospects for Enhanced Deep Learning Applications

Masud Kabir, Fatih Unal, Tahir Cetin AKINCI, Alfredo A. Martinez-Morales, Sami Ekici

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: GLCM metrics; deep learning; darkNet19; plant diseases; open datasets; criteria

Online: 25 April 2024 (15:09:21 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.0892.v1

Blood Biomarkers Show Neural Consequences of LongCOVID-19

Norina Tang, Tatsuo Kido, Jian Shi, Erin McCafferty, Judith M. Ford, Kaitlyn Dal Bon, Lynn Pulliam

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: LongCOVID-19; biomarkers; neuronal extracellular vesicles; BDNF; cortisol; cognition

Online: 16 February 2024 (07:02:10 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202403.1474.v1

A Randomized Comparative Clinical Trial to Assess the Efficacy of Polyherbal Metabolite Compounds in the Management of Type 2 Diabetes Mellitus

Nandakumar Kadanangode Narayanaswamy, Prasanth Subramanian, Mohanraj Nehru, Bhuvaneshwaran Mothishwaran, Rajappan Chandra Satish Kumar, Venkataraman Prabhu

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Diabetes; PHMC; Cardiovascular complications; Insulin resistance; Insulin sensitivity.

Online: 25 March 2024 (11:22:33 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202112.0428.v2

Application of Advanced Land Observing Satellite 3 (ALOS-3) Data to Land Cover and Vegetation Mapping

Ram C. Sharma, Hidetake Hirayama, Keitarou Hara

Subject: Environmental And Earth Sciences, Environmental Science Keywords: ALOS-3; Land Cover; Vegetation; Machine learning; Classification; Mapping; Ge-nus-Physiognomy-Ecosystem level

Online: 13 May 2022 (14:45:48 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202407.0928.v1

Transmission Spectroscopy Along the Transit of Venus: A Proxy for Exoplanets Atmospheric Characterization

Alexandre Baptista Branco, Pedro Machado, Olivier Demangeon, Sarah Amelia Jaeggli, Thomas Widemann, Paolo Tanga

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Venus; Solar Transit; High-resolution transmission spectroscopy; Radiative transfer; Cross-correlation; Carbon dioxide; Carbon monoxide; Ozone; Venus-like exoplanets

Online: 11 July 2024 (08:37:43 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0106.v1

Decision Optimization for Power Grid Operating Condition with High and Low Voltage Parallel Loops

Dong Yang, Kang Zhao, Hao Tian, Yutian Liu

Subject: Engineering, Electrical And Electronic Engineering Keywords: parallel loop; line switching; complex network theory; GN algorithm; comprehensive evaluation model

Online: 15 March 2017 (18:00:36 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202407.2283.v1

State of the Art Synthesis of Ag-ZnO-Based Nanomaterials by Novel Atmospheric Pressure Microplasma Techniques

Ayesha Khalid, M. Naeem, Omar Atrooz, M. R. Mozafari, Fatemeh Anari, Elham Taghavi, Umair Rashid, Bushra Aziz

Subject: Medicine And Pharmacology, Other Keywords: Atmospheric microplasma technique; core shall nanoparticles; antibacterial activity; antifungal activity; silver nanoparticles

Online: 29 July 2024 (09:59:25 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202408.0442.v1

Marine Bacteriocins: An Evolutionary Gold Mine to Payoff Antibiotic Resistance

Piyush Baindara, Dinata Roy, Santi M Mandal

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Marine; Bacteriocins; Lanthipeptides; RiPPs; Antimicrobial peptides; Drug-resistance

Online: 6 August 2024 (16:13:50 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202409.0872.v1

Life Cycle Assessment of Crude Oil-Contaminated Soil Treated by Low-Temperature Thermal Desorption and Its Beneficial Reuse for Soil Amendment

Young Ho Song, Geon Yong Kim, Da Yeon Kim, Yong Woo Hwang

Subject: Environmental And Earth Sciences, Soil Science Keywords: Crude Oil-contaminated Soil; Soil Remediation; Low-temperature Thermal Desorption (LTTD); Soil Amendment; Life Cycle Assessment (LCA)

Online: 11 September 2024 (07:32:34 CEST)

Show abstract| Download PDF| Share

Search Results

39255 articles found