Search | Preprints.org

Preprint ARTICLE | doi:10.20944/preprints201609.0085.v2

Modeling and Simulation of Passenger Flow Distribution in Urban Rail Transit Hub Platform

Long Gao, Limin Jia

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: passenger flow distribution model; simulation design; performance evaluation; passenger flow volume; service level; urban rail transit hub platform

Online: 2 December 2016 (07:52:00 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201610.0055.v1

Numerical Simulation of Hypervelocity Impact FEM-SPH Algorithm Based on Large Deformation of Material

Aimin Yang, Jinze Li, Hengheng Qu, Yuhang Pan, Yanhong Kang, Yuzhu Zhang

Subject: Computer Science And Mathematics, Analysis Keywords: finite element method; smoothed particle method; fem-sph algorithm; large deformation; super high speed collision

Online: 14 October 2016 (11:05:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201609.0007.v1

A New Simulation Approach to Model Complex Fracture Networks in the Shale Formation Considering Gas Desorption

Xinfang Ma

Subject: Engineering, Energy And Fuel Technology Keywords: shale gas; stimulated reservoir volume; fracture parameters optimization; formation parameters

Online: 3 September 2016 (11:16:08 CEST)

Show abstract| Download PDF| Share

Hydraulic fracturing in shale gas reservoirs has usually resulted in complex fracture network. The results of micro-seismic monitoring showed that the nature and degree of fracture complexity must be clearly understood to optimize stimulation design and completion strategy. This is often called stimulated reservoir volume (SRV). In the oil & gas industry, stimulated reservoir volume has made the shale gas exploitation and development so successful, so it is a main technique in shale gas development. The successful exploitation and development of shale gas reservoir has mainly relied on some combined technologies such as horizontal drilling, multi-stage completions, innovative fracturing, and fracture mapping to engineer economic completions. Hydraulic fracturing with large volumes of proppant and fracturing fluids will not only create high conductivity primary fractures but also stimulate adjacent natural fractures. Fracture network forming around every hydraulic fracture yields a stimulated reservoir volume. A model of horizontal wells which was based on a shale gas reservoir after volume fracturing in China was established to analyze the effect of related parameters on the production of multi-fractured horizontal wells in this paper. The adsorbed gas in the shale gas reservoir is simulated by dissolved gas in the immobile oil. The key to simulate SRV is to accurately represent the hydraulic fractures and the induced complex natural fracture system. However, current numerical simulation methods, such as dual porosity modeling, discrete modeling, have the following limitations: 1) time-consuming to set up hydraulic and natural fracture system; 2) large computation time required. In this paper, the shape of the stimulated formation is described by an expanding ellipsoid. Simplified stimulated zones with higher permeability were used to model the hydraulic fracture and the induced complex natural fracture system. In other words, each primary fracture has an enhanced zone, namely SRV zone. This method saves much developing fine-grid time and computing time. Compared with the simulation results of fine-grid reference model, it has shown that this simplified model greatly decreases simulation time and provides accurate results. In order to analyze the impacts of related parameters on production, a series of simulation scenarios and corresponding production performance were designed. Optimal design and analyses of fracturing parameters and the formation parameters have been calculated in this model. Simulation results showed that the number of primary fractures, half length, SRV half-width and drop-down have great effects on the post-fracturing production. Formation anisotropies also control the production performance while the conductivity of the primary fractures and SRV permeability do not have much impact on production performance. The complexity of stimulated reservoir volume has strong effect on gas well productivity. Fracture number mainly affects the early time production performance. The increase of SRV width cannot enlarge the drainage area of the multi-fractured horizontal wells, but it can improve the recovery in its own drainage region. Permeability anisotropies have much effect on production rate, especially the late time production rate. The results prove that horizontal well with volume fracturing plays an irreplaceable role in the development of ultra-low permeability shale gas reservoir.

Preprint COMMUNICATION | doi:10.20944/preprints201808.0240.v1

Monitoring Moisture Content for Various Kind of Tea Leaves in Drying Processes Using RF Reflectometer-Sensor System

Kok Yeow You, Chia Yew Lee, Kok San Chan, Kim Yee Lee, Ee Meng Cheng, Yeng Seng Lee

Subject: Engineering, Electrical And Electronic Engineering Keywords: tea leaves; microcontroller-based RF reflectometer; large open-ended coaxial probe; reflected voltage; moisture content

Online: 14 August 2018 (04:13:50 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202104.0157.v1

Influence of Chinese National Centralized Drug Procurement on the Price of Policy-Related Drugs: An Interrupted Time Series Analysis

Ni Wang, Ying Yang, Luxinyi Xu, Zongfu Mao, Dan Cui

Subject: Business, Economics And Management, Accounting And Taxation Keywords: National Centralized Drug Procurement; "4+7" policy; drug price; interrupted time series; volume-based procurement.

Online: 6 April 2021 (08:18:10 CEST)

Show abstract| Download PDF| Share

Preprint CONCEPT PAPER | doi:10.20944/preprints202101.0366.v1

High Volume Injection (Hydrodissection) for Tarsal Tunnel Syndrome Using Peripheral Nerve Stimulation: Treatment Protocol

Ian Reilly, Akram Uddin

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: tarsal tunnel syndrome; compression neuropathy; high volume injection; hydrodissection; hydrodilatation; nerve stimulator

Online: 19 January 2021 (09:00:21 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201608.0224.v2

Propeller Cavitation in Non-Uniform Flow and Correlation with the Near Pressure Field

Francisco Alves Pereira, Fabio Di Felice, Francesco Salvatore

Subject: Engineering, Marine Engineering Keywords: propeller; cavitation pattern; unsteady cavitation; induced pressure fluctuations; high-speed visualization; volume acceleration; cavitation-pressure correlations

Online: 5 September 2016 (09:37:05 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201610.0050.v1

Investigation of Physical Characteristics of Non-Structural Lightweight Aggregate Blocks

Hamid Reza Ashrafi, Marzieh Sadat Moayyeri, Peyman Beiranvand

Subject: Engineering, Civil Engineering Keywords: non-load-bearing lightweight blocks; lightweight aggregates; density; compressive strength; water absorption volume

Online: 13 October 2016 (12:01:40 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201701.0126.v1

Iron Deficiency Anemia (IDA) in Pregnant Women of Different Ages in Swat District, Khyber Pakhtunkhwa Pakistan

Atta Ullah, Ali Muhammad Yousafzai, Gul Nabi Khan, Nasir Iqbal, Bashir Ahmad

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: anemia; iron deficiency; pregnancy; serum ferritin; mean corpuscular volume (mcv); mean corpuscular hemoglobin (MCH); Northern Pakistan

Online: 27 January 2017 (03:46:07 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0018.v1

A Weno-Tvd Implementation for Solving Some Problems of Hyperbolic Conservation Laws

Jhon Alberto Polo Vásquez, Miguel Antonio Caro Candezano

Subject: Computer Science And Mathematics, Mathematics Keywords: CENTRAL WENO-TVD, hyperbolic conservation laws, volume finite framework, The Lax-Friedrichs and TVD fluxes, flux limiter-schemes, Runge-Kutta TVD

Online: 1 October 2018 (16:42:27 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201607.0069.v1

Testing Ststistical Hypothesis in Light of Mathematical Aspects in Analysis of Probability

Michael Fundator

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Principal of prediction; random sequences; recurrence; Law of Large Numbers; exponential; normal; bivariate; distribution; Entropy; Information

Online: 23 July 2016 (09:25:13 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.1723.v1

Truth-O-Meter: Collaborating with LLM in Fighting its Hallucinations

Boris A. Galitsky

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Large Language Model; hallucination; fact-checking; multiple inconsistent sources

Online: 25 July 2023 (13:09:30 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202303.0473.v1

ChatGPT for Education and Research: Opportunities, Threats, and Strategies

Md. Mostafizer Rahman, Yutaka Watanobe

Subject: Social Sciences, Education Keywords: ChatGPT; educational technology; research; programming education; large language model; GPT-3; artificial intelligence

Online: 28 March 2023 (04:14:47 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201702.0002.v1

Tests and Problems of the Standard Model in Cosmology

Martin Lopez-Corredoira

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Cosmology; Observational cosmology; Origin, formation, and abundances of the elements; dark matter; dark energy; superclusters; large-scale structure of the Universe

Online: 1 February 2017 (16:06:52 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202304.0827.v3

ROSGPT: Next-Generation Human-Robot Interaction with ChatGPT and ROS

Anis Koubaa

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Human-Robot Interaction; ROS; ROS2; ChatGPT; Large Language Model; Robot Operating System

Online: 26 April 2023 (03:54:36 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201704.0108.v1

Non-Equilibrium Phase Behavior of Hydrocarbons in Compositional Simulations and Upscaling

Ilya M. Indrupskiy, Olga A. Lobanova, Vadim R. Zubov

Subject: Engineering, Energy And Fuel Technology Keywords: non-equilibrium phase behavior; compositional flow simulations; phase transitions; upscaling; hydrocarbon mixtures; non-equilibrium constant volume depletion

Online: 18 April 2017 (04:05:57 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0099.v1

Effect of Fibers on Mixture Design of Stone Matrix Asphalt

Yanping Sheng, Haibin Li, Ping Guo, Guijuan Zhao, Huaxin Chen, Rui Xiong

Subject: Chemistry And Materials Science, Biomaterials Keywords: stone matrix asphalt; volume parameters; Marshall Stability; flocculent lignin fiber; polyester fiber; mineral fiber; fiber content

Online: 15 March 2017 (08:25:11 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201608.0017.v4

Propositions for Confidence Interval in Systematic Sampling on Real Line

Mehmet Niyazi Çankaya

Subject: Computer Science And Mathematics, Mathematics Keywords: biomedical imaging; covariogram; design-based stereology; estimation of volume; systematic sampling

Online: 15 September 2016 (05:18:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201905.0111.v1

Improvement of Ultrasonic Inspection of the Forging Titanium Alloy

Teodor Tranca, Iuliana Radu

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: pulse volume; signal noise ratio; automated ultrasonic testing; simulation software

Online: 9 May 2019 (12:47:50 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201612.0060.v1

NeBSS: Semi-Automated Parcellation of Neonatal Structural Brain MRI

Rafael Ceschin, Alexandria Zahner, Vanathi Gopalakrishnan, Ashok Panigrahy

Subject: Computer Science And Mathematics, Software Keywords: neonatal MRI; brain structure segmentation; volume extraction

Online: 10 December 2016 (08:44:55 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0170.v1

Simplified Simulation Method for Flood-Induced Bend Scour—A Case Study Near the Shuideliaw Embankment on the Cho-Shui River

Wen-Dar Guo, Jian-Hao Hong, Cheng-Hsin Chen, Chih-Chiang Su, Jihn-Sung Lai

Subject: Physical Sciences, Applied Physics Keywords: bend scour; embankment toe; finite-volume model; numbered bricks

Online: 21 March 2017 (08:23:25 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201901.0252.v1

Non-Synaptic Transmission and the Foundations of Affect

Gil Carvalho, Antonio Damasio

Subject: Biology And Life Sciences, Behavioral Sciences Keywords: Non-synaptic transmission, synapse, neurotransmitters, interoceptive nervous system, volume transmission, paracrine, myelin, blood-brain barrier, interoception, affect

Online: 24 January 2019 (10:09:50 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202111.0207.v1

External and Internal Loads in Sports Science: Time to Rethink?

Bernardo Ide, Amanda Silvatti, Craig Staunton, Moacir Marocolo, Dustin Oranchuk, Gustavo Mota

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: exercise intensity; training impulse; training strain; exercise volume

Online: 10 November 2021 (14:30:55 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201803.0160.v1

A Bibliographical Survey on Software Architectures for Smart Grid System

A. Ramesh, Prabhakar Karthikeyan, Sanjeevikumar Padmanaban, Saravanan Balasubramanian, Josep M. Guerrero

Subject: Engineering, Electrical And Electronic Engineering Keywords: Advanced Metering Infrastructure (AMI); Distributed Energy Resources (DER); Distribution Management System (DMS); Graph Reduction In Parallel (GRIP); Intelligent Electronic Device (IED); Intelligent Platform Management Interface (IPMI); Service Oriented Architecture (SOA); Ultra Large Scale System (ULSS)

Online: 19 March 2018 (11:42:42 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201812.0100.v1

On the Application of Massive MIMO Systems to Machine Type Communications

Felipe A. P. de Figueiredo, Fabbryccio A. C. M. Cardoso, Ingrid Moerman, Gustavo Fraidenraichz

Subject: Engineering, Electrical And Electronic Engineering Keywords: Large-scale antenna systems, 5G networks, machine type communications, channel estimation, linear detection

Online: 10 December 2018 (12:38:34 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201708.0095.v1

Relative Lagrangian Formulation of Finite Thermoelasticity

I-Shih Liu, Marcello G. Teixeira

Subject: Physical Sciences, Mathematical Physics Keywords: relative Lagrangian formulation; thermoelastic solid; small on large; successive linear approximation; boundary value problem

Online: 27 August 2017 (11:36:35 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201804.0194.v1

The 2017 North Bay and Southern California Fires: A Case Study

Nicholas J. Nauslar, John T. Abatzoglou, Patrick T. Marsh

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: fire weather; fire climate; large wildfires; downslope windstorm; wildland urban interface; drought; foehn winds

Online: 16 April 2018 (08:00:29 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201702.0042.v1

Fundamental Study on the Development of Sprayed High Performance Fiber Reinforced Cementitious Composites for Impact-Blast Resistant

Yun-Wang Choi, Byung-Keol Choi, Sung-Rok Oh, Man-Seok Park

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: high volume fly ash, high fluidity concrete, early strength, field application

Online: 13 February 2017 (11:44:54 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202304.0158.v2

ChatGPT: A Brief Narrative Review

Bulbul Gupta, Tabish Mufti, Shahab Saquib Sohail, Dag Øivind Madsen

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; OpenAI; Artificial Intelligence (AI); Machine Learning (ML); Large Language Models (LLM)

Online: 29 June 2023 (08:51:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201709.0059.v1

The Effect of Heat Transfer and Polymer Concentration on Non-Newtonian Fluid from Pore-Scale Simulation of Rock X-Ray micro-CT

Moussa Tembely, Ali M. AlSumaiti, Mohamed S. Jouini, Khurshed Rahimov

Subject: Engineering, Mechanical Engineering Keywords: pore-scale model; non-Newtonian fluid; Finite Volume Method; Digital Rock Physics

Online: 15 September 2017 (10:09:40 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201710.0147.v1

Study on the Best Water Cushion Depth of Stilling Basin with Shallow-Water Cushion at Different Froude Numbers

Qiulin Li, Lianxia Li, Huasheng Liao, Jingjing Wei, Shengyin Jiang, Faxing Zhang

Subject: Physical Sciences, Fluids And Plasmas Physics Keywords: energy dissipation; hydraulic jump; Froude number; stilling basin with shallow-water cushion; large eddy simulation; hydraulic characteristics

Online: 23 October 2017 (08:30:57 CEST)

Show abstract| Download PDF| Share

The water cushion depth of stilling basin with shallow-water cushion is a key factor that affects the flow regime of hydraulic jump in the basin. However, the specific depth at which the water cushion is considered as “shallow” has not be stated clearly for now, and only conceptual description is provided. This paper attempts to specify the best water cushion depth based on the flow regime of hydraulic jump and underflow speed; namely, in case of critical hydraulic jump in the basin, the best water cushion depth is located where the minimum distance to the bottom plate of the stilling basin is 1/5~1/4 of the water cushion depth. The theoretical analysis indicates, at different inclinations of discharge chute (θ) and depth ratios of inlet (m), instead of monotonic change, the Froude number (Fr) at inlet of the stilling basin with shallow-water cushion firstly reduces and then increases as the flow velocity at discharge chute inlet (V) increases; the parameters of inflection point (critical flow velocity and critical Fr) increase as the inclinations of discharge chute (θ) and depth ratios of inlet (m) increase. Such regularity is the theoretical basis for selecting representative study cases. The reliability of the large eddy simulation calculation results are verified by a model test; in the paper, 30 cases including five different Froude numbers and six shallow-water cushion depths are selected, for calculating the hydraulic factors such as flow profile, flow regime and flow velocity in the stilling basin with shallow-water cushion; and the varying pattern between the best depth of stilling basin with shallow-water cushion (depth-to-length ratio) and the inflow Froude number is obtained which indicates that the best depth of stilling basin with shallow-water cushion varies little as the change of the Froude number before reaching the critical Froude number; however, the best depth-to-length ratio of stilling basin with shallow-water cushion increases as the Froude number increases after the critical Froude number is reached. The study results in this paper are of reference significance to design and calculation of the stilling basin with shallow-water cushion.

Working Paper REVIEW

Ten Golden Rules for Reforestation to Optimise Carbon Sequestration, Biodiversity Recovery and Livelihood Benefits

Alice Di Sacco, Kate Hardwick, David Blakesley, Pedro H. S. Brancalion, Elinor Breman, Loic Cecilio Rebola, Susan Chomba, Kingsley Dixon, Stephen Elliott, Godfrey Ruyonga, Kirsty Shaw, Paul Smith, Rhian J. Smith, Alexandre Antonelli

Subject: Biology And Life Sciences, Forestry Keywords: Afforestation; Climate change mitigation; Ecological Restoration; Forest landscape restoration; Large-scale tree planting; Natural regeneration; Nature-based solutions; Stakeholders participation

Online: 5 September 2020 (08:01:43 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.0195.v1

LLMs and AI: Understanding Its Reach and Impact

Anand Gokul

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: llm; impact; society; ai; large-language-model; transformer; natural language processing; nlp

Online: 4 May 2023 (05:15:50 CEST)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Calculation of the Isobaric Heat Capacities of the Liquid and Solid Phase of Organic Compounds at and around 298.15K Based on their “True” Molecular Volume

Rudolf Naef

Subject: Chemistry And Materials Science, Physical Chemistry Keywords: heat capacity; molecular volume; force-field geometry optimization; hydrocarbons; ionic liquids; siloxanes; metal complexes

Online: 29 March 2019 (08:54:23 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint REVIEW | doi:10.20944/preprints202203.0285.v1

Large Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques

Jonathan Velasco Costa, Diogo F.F. Silva, P.J. Costa Branco

Subject: Engineering, Electrical And Electronic Engineering Keywords: Large power transformer; condition monitoring; transformer fault diagnosis; diagnostic techniques; mechanical or electrical integrity of the core and windings

Online: 21 March 2022 (10:47:56 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201802.0008.v1

Computational Information Geometry For Binary Classification of High-Dimensional Random Tensors

Gia-Thuy Pham, Rémy Boyer, Frank Nielsen

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Optimal Bayesian detection, information geometry, minimal error probability, Chernoff/Bhattacharyya upper bound, large random tensor, Fisher information, large random sensing matrix

Online: 1 February 2018 (16:32:04 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201709.0092.v1

Principal Mismatch Patterns across a Simplified Highly Renewable European Electricity Network

Mads Raunbak, Timo Zeyer, Kun Zhu, Martin Greiner

Subject: Engineering, Energy And Fuel Technology Keywords: renewable energy networks; principal component analysis; large-scale integration of renewables; wind power; solar power; super grid; energy system design

Online: 20 September 2017 (04:44:36 CEST)

Show abstract| Download PDF| Share

Preprint COMMUNICATION | doi:10.20944/preprints201804.0335.v1

Mapping the Distribution of Particles in Hydrogel in Use for Nanoplasmonic Biosensors: A Comparison of Preparation Methods

Harald Ian Muri, Linh Hoang, Dag Roar Hjelme

Subject: Chemistry And Materials Science, Nanotechnology Keywords: metal nanocomposite hydrogels; particle distribution; nanoplasmonic sensor; preparation methods; SEM imaging; volume imaging

Online: 26 April 2018 (08:16:47 CEST)

Show abstract| Download PDF| Share

The distribution of noble metal nanoparticles in hydrogels are influencing their nanoplasmonic response and signal used for biosensor purposes. By controlling the particle distribution, it is possible to obtain new nanoplasmonic features with new sensing modalities. Particle distributions can be characterized by using volume-imaging methods such as the focused ion beam-scanning electron microscope (FIB-SEM) and the serial block-face scanning electron microscopy (SBFSEM) techniques . Since the pore structure of hydrogels is contained by the water absorbed in the polymer network it may pose challenges for volume-imaging based on electron microscope techniques since the sample must be in a vacuum chamber. The structure of hydrogels can be conserved by choosing appropriate preparation methods, which also depends on the composition of the hydrogel used. In this paper, we have prepared low-weight percentage hydrogels, with and without gold nanorods (GNR) for conventional SEM imaging by using two different drying techniques; (1) the critical point drying (CPD) technique and (2) hexamethyldisilazane (HMDS) drying of hydrogels. A qualitative characterization of the GNR-hydrogels was carried out to study the GNRs positioned in the polymer network. The effect of the two different drying methods on the hydrogel morphology were also compared. The use of HMDS as an alternative to the CPD has several advantages involving less parametrical variables for drying, involving less effort, being cost-effective, and requires no equipment use. In addition, choosing an optimized sample preparation method for SEM with optimized imaging parameters is highly important for obtaining accurate information about materials that is not correlated to artifacts. Hence, the results obtained from the preparation methods and SEM imaging parameters in this paper are useful for developing methods for mapping the metal particle distributions in micro-hydrogels by using FIB-SEM and SBFSEM techniques.

Preprint ARTICLE | doi:10.20944/preprints201908.0301.v1

Influence of Fiber Content on Shear Capacity of Steel Fiber Reinforced Concrete Beams

Juan Andres Torres, Eva O.L. Lantsoght

Subject: Engineering, Civil Engineering Keywords: experiments; fiber factor; fiber volume fraction; flexure; shear; steel fiber reinforced concrete

Online: 29 August 2019 (04:32:29 CEST)

Show abstract| Download PDF| Share

Preprint COMMUNICATION | doi:10.20944/preprints202012.0334.v1

Soccer Scoring Techniques — a Scientific Re-conception of Time and Space via Biomechanical Modeling

Xiang Zhang, Gongbing Shan

Subject: Computer Science And Mathematics, Other Keywords: scoring opportunity identification; proprioceptive shooting volume; 0 possession shot; airborne; anthropometry

Online: 14 December 2020 (13:12:20 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201806.0433.v1

Electroplating of Electronic Materials for Applications in Large Area Electronics: A Review

A.A. Ojo, I.M. Dharmadasa

Subject: Chemistry And Materials Science, Surfaces, Coatings And Films Keywords: Electroplating; Semiconductors; Large area electronics; Characterisation; Solar cells

Online: 26 June 2018 (16:18:18 CEST)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets

Hai Van Pham, Dat Hoang Thanh, Philip Moore

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Knowledge graphs; hierarchical pooling; graph classification; graph neural networks; FPool; large graph sensor datasets

Online: 15 June 2021 (14:32:53 CEST)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202012.0092.v1

Machine Learning-based Anomaly Detection with Magnetic Data

Peetak Mitra, Denis Akhiyarov, Mauricio Araya-Polo, Daniel Byrd

Subject: Engineering, Mechanical Engineering Keywords: anomaly detection; machine Learning; large stand off magnetometry; multimodal data; RAPIDS-AI

Online: 4 December 2020 (07:13:40 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201712.0131.v1

Is Equilibrium Modelling Outdated for Recent Challenges in River Management?

Arianna Varrani, Michael Nones

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: 1D modelling; large rivers; morphodynamic equilibrium; river concavity; bottom fining

Online: 19 December 2017 (07:15:22 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201809.0097.v1

Possible Unification of Quantum Mechanics and General Relativity Theory Based on the Three-Dimensional Quantized Spaces

Jae-Kwang Hwang

Subject: Physical Sciences, Particle And Field Physics Keywords: Quantum mechanics; General and special relativity theories; Origins of the energy and mass; Space-time volume and distance; Origin of quantum wave function; Three-dimensional quantized spaces; Quantum entanglement; Space-time curvatures and quantum metrics

Online: 5 September 2018 (12:40:06 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202107.0520.v1

Bafilomycin A1 Induces Caspase-Dependent Apoptosis and Inhibits Autophagy Flux in Diffuse Large B Cell Lymphoma

Fang Li, Ying Hu, Yizhou Hu, Ren Zhou, Zhengrong Mao

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: apoptosis; autophagy; bafilomycin A1; diffuse large B cell lymphoma

Online: 22 July 2021 (13:43:07 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201807.0265.v1

On the Numerical Modeling of FENE-CR Viscoelastic Droplet Impact Dynamics by the Volume Of Fluid Method

Moussa Tembely

Subject: Engineering, Mechanical Engineering Keywords: Droplet Impact, Viscoelastic, Two-phase Flow, Volume of Fluid method (VOF)

Online: 16 July 2018 (09:12:38 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202108.0251.v1

Secrecy Analysis and Error Probability of LIS-aided Communication Systems under Nakagami-m Fading

Ricardo Coelho Ferreira, Michelle S. P. Facina, Felipe A. P. de Figueiredo, Gustavo Fraidenraich, Eduardo Rodrigues de Lima

Subject: Engineering, Electrical And Electronic Engineering Keywords: Large intelligent surfaces; 6G; bit error probability; Nakagami fading; Von Mises distribution

Online: 11 August 2021 (10:52:46 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201905.0331.v1

On the Role of Electric Vehicles towards Low-Carbon Energy Systems: Italy and Germany in Comparison

Sara Bellocchi, Kai Klöckner, Michele Manno, Michel Noussan, Michela Vellini

Subject: Engineering, Energy And Fuel Technology Keywords: large-scale RES; curtailments; electric vehicles; EnergyPLAN; integrated energy systems analysis; CO2 emissions

Online: 28 May 2019 (10:33:27 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint REVIEW | doi:10.20944/preprints201805.0177.v1

Hippocampal Volume Changes in Patients with Mood Disorders: A Systematic Review of MRI Studies

Marcelo Antônio Oliveira Santos, Lucas Soares Bezerra, Alessandra Mertens Brainer-Lima, Ana Rita Ribeiro Marinho Carvalho

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: hippocampus volume; mood Disorders; MRI; depression; subiculum; CA1

Online: 11 May 2018 (06:32:32 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202003.0213.v1

Extending the Concept of City for the Delineation of Large Urban Regions (LUR) for the Cities of the World

Celine Rozenblat

Subject: Social Sciences, Geography, Planning And Development Keywords: cities; definition; megalopolis; large urban regions; functional urban regions; urban agglomerations; world; statistical delineation; comparative urban research

Online: 12 March 2020 (13:55:54 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201804.0296.v1

Study on the Construction of Landscape Ecological Classification System for Large-Scale Coal-Power Base in Semi-Arid Steppe Region

Zhenhua Wu, Shaogang Lei, Zhengfu Bian

Subject: Environmental And Earth Sciences, Environmental Science Keywords: semi-arid steppe region; large-scale coal-power base; landscape ecological classification

Online: 23 April 2018 (12:48:59 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201810.0329.v1

Modeling of Protein Structural Flexibility and Large-Scale Dynamics: Coarse-grained Simulations and Elastic Network Models

Sebastian Kmiecik, Maksim Kouza, Aleksandra Elzbieta Badaczewska-Dawid, Andrzej Kloczkowski, Andrzej Kolinski

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: protein dynamics; coarse-grained simulation; Monte-Carlo dynamics; structural flexibility; large-scale dynamics; elastic network model;

Online: 15 October 2018 (17:10:57 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202009.0718.v1

Novel Therapies for Relapsed or Refractory Diffuse Large B-Cell Lymphoma

Leonard Harris, Kruti Patel, Michael Martin

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: Relapsed or Refractory Diffuse Large B Cell Lymphoma, DLBLC, immunotherapy, chemotherapy-free regimen

Online: 29 September 2020 (15:09:47 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202105.0026.v2

Ethical Issues Concerning the Use of Data from Commercially Available Wearable Sensors in Children

Andrie G. Panayiotou, Evangelos D. Protopapadakis

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: wearable devices; ethics; children; privacy; large data; right to an open future; living in the spot-light

Online: 25 June 2021 (11:00:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201806.0141.v1

Gambogenic Acid Triggers Apoptosis of Human Nasopharyngeal Carcinoma CNE-2Z Cells through Activating Volume-Sensitive Outwardly Rectifying Chloride Channels

Jingjing Su, Ting Xu, Genling Jiang, Mengru Liang, Hui Cheng, Mei Hou, Qinglin Li

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: Gambogenic acid; apoptosis; CNE-2Z cells; volume-sensitive outwardly rectifying chloride

Online: 8 June 2018 (16:00:24 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201902.0078.v1

Reduced Grey Matter Volume in Frontal and Temporal Areas in Depression: A Voxel Based Morphometry Study

Sevdalina Kandilarova, Drozdstoy Stoyanov, Nickolay Sirakov, Michael Maes, Karsten Specht

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: major depressive disorder, bipolar disorder, structural MRI, grey matter volume, voxel-based morphometry

Online: 8 February 2019 (09:30:12 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201806.0175.v1

Antineutrino Star Model of the Big Bang and Dark Energy

Tom F. Neiser

Subject: Physical Sciences, Particle And Field Physics Keywords: cosmology: theory; gravitation; early universe; dark energy; large-scale structure of universe; cosmic background radiation; neutrinos

Online: 12 June 2018 (08:43:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0766.v1

ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown

Mark Scanlon, Frank Breitinger, Christopher Hargreaves, Jan-Niclas Hilgert, John Sheppard

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; Digital Forensics; Artificial Intelligence; Generative Pre-trained Transformers (GPT); Large Language Models (LLM)

Online: 12 July 2023 (09:09:09 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201806.0266.v1

Improved Collecting Line Current Protection Scheme against Large-scale Wind Generators Tripping off

Wei Jin, Yuping Lu, Tao Huang

Subject: Engineering, Electrical And Electronic Engineering Keywords: Collecting line current protection (CLPC); coordination protection; large-scale WGs trip-off; risk indicator

Online: 18 June 2018 (13:48:38 CEST)

Show abstract| Download PDF| Share

There have been several cases of large-scale wind generators (WGs) tripping off caused by untimely fault removing in recent years. Currently, the discoordination between the box-type transformer fuse protection (BTFP) and two-section collecting line current protection (CLCP) brings a security risk to wind farm. In order to ensure the selectivity, the first section (Sec-I) CLCP should be set a enough interval that is longer than the fuse melting time, and another interval is set for the Sec-II CLCP, which weakens the speed of the CLCP. When a fault occurs on the collecting line, there is no doubt that WGs cannot work too long in abnormal operation, which may cause WGs to be placed off the grid. For a power system with high penetration of wind power, large-scale WGs tripping off will cause a great power shortage, and affect the stability of the power system. The selectivity and sensitivity of the CLCP is analyzed in detail to make the CLCP speed better. Considering the fault ride-through ability of WGs, the fault clear time is an important factor to lead to large-scale WGs tripping off. Two main works are done in this paper. The first is to accelerate the speed of the Sec-I CLCP though reducing the protection zone. Another one is introduce the risk assessment module into the CLCP, which not only improve the speed of the CLCP but also ensure the safety of the wind farm during faults. According to the deference in trip-off causes of WGs, the matching functions are created to assess the trip-off risk of WGs on the spot. In the case of fault, the trip-off risk indicators of WGs are timely updated to data sharing center and open to the CLCPs. The set of risk indicators is divided into several subsets according to the risk range. The dynamic changes of the subsets during fault help to improved CLCP scheme. This scheme can accelerate protection speed based on the increasing risk of large-scale WGs tripping off in wind farms. Compared with traditional CLCP, this approach can make the CLCP combines selectivity and speed better based on the analysis of the ride- through ability of WGs.

Preprint REVIEW | doi:10.20944/preprints202306.0243.v1

New Advances in Artificial Intelligence for Biomedical Research and Clinical Decision-Making

Nicolae Iftimia, Raj Pandya, Forest Mahoney

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: AI; artificial intelligence; automation; neural networks; machine learning; deep learning; large language models; biomedical research; imaging; healthcare

Online: 5 June 2023 (05:15:33 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202006.0056.v1

Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks

Felix Pütz, Manuel Henrich, Niklas Fehlemann, Andreas Roth, Sebastian Münstermann

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: Microstructure Modelling; Representative Volume Elements; DP-steel; Machine Learning; Deep Learning; Wasserstein GAN

Online: 5 June 2020 (14:37:20 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201809.0245.v1

On the Effect of Filling Rate on Positive Macrosegregation Patterns in Large Size Cast Steel Ingots

Chunping Zhang, Abdelhalim Loucif, Mohammad Jahazi, Rami Tremblay, Louis-Philippe Lapierre Boire

Subject: Engineering, Mechanical Engineering Keywords: medium-carbon low-alloy steel; large size ingot; hot-top; filling rate; positive macrosegregation

Online: 13 September 2018 (15:19:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201811.0534.v1

Saint Venant and Navier-Stokes Models for Tsunami Simulations

Camille Journeau, Kévin Pons, Richard Marcer

Subject: Engineering, Marine Engineering Keywords: tsunami; CFD; Saint Venant (SV) model; Adaptive Mesh Refinement (AMR); large scale propagation; 3D Navier-Stokes (NS) model; coastal impact

Online: 22 November 2018 (04:43:54 CET)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Effect of Interlayer Cooling Time, Constraint and Tool Path Strategy on Deformation of Large Components made by Laser Metal Deposition with Wire

Yousub Lee, Yashwanth Bandari, Peeyush Nandwana, Brian Gibson, Brad Richardson, Srdjan Simunovic

Subject: Engineering, Mechanical Engineering Keywords: large-scale additive manufacturing; interlayer cooling time; tool path optimization; part deformation; Ti-6Al-4V

Online: 10 November 2019 (09:04:24 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201809.0377.v1

Plasmonic Sensing Characteristics of Gold Nanorods with Large Aspect Ratios

Chao Zhuang, Yifan Xu, Ningsheng Xu, Jinxiu Wen, Huanjun Chen, Shaozhi Deng

Subject: Chemistry And Materials Science, Nanotechnology Keywords: large aspect ratios; gold nanorods; refractive index sensitivities; SERS; plasmonic sensing

Online: 19 September 2018 (09:40:22 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202004.0509.v1

GATA 3 Gene Overexpression Is A Biomarker of Adverse Prognosis for Peripheral T-Cell Lymphoma, Not Otherwise Specified and for ALK-Negative Anaplastic Large Cell Lymphoma: An Exploratory Analysis of 80 Latin American Cases of nodal PTCLs

Luís Alberto de Pádua Covas Lage, Cláudio Vinícius Brito, Débora Levy, Hebert Fabrício Culler, Samuel Campanelli Freitas Couto, Lucas Bassolli, Maria Claudia Nogueira Zerbini, Vanderson Rocha, Juliana Pereira

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: nodal peripheral T-cell lymphomas; peripheral T-cell lymphoma, not otherwise specified (PTCL/NOS); ALK-negative anaplastic large-cell lymphoma (ALCL/ALK-); Angioimmunoblastic T-cell lymphoma (AITL); diagnosis; prognosis; GATA3 gene expression

Online: 29 April 2020 (12:48:00 CEST)

Show abstract| Download PDF| Share

Background: Nodal peripheral T-cell lymphomas (nPTCLs) encompass a heterogeneous group of mature and aggressive lymphoid malignancies, including peripheral T-cell lymphoma, not otherwise specified (PTCL/NOS), angioimmunoblastic T-cell lymphoma (AITL) and anaplastic large cell lymphoma (ALCL) ALK-positive and ALK-negative. Their differential diagnosis and prognosis are an issue in the clinical practice. Accurate biomarkers to refine the different subtypes of nPTCLs and to stratify their prognosis are essential to improve their treatment approach. The aim of this study was to test the prognostic impact of GATA3 gene expression, and its capability to discriminate the different subtypes of nPTCLs. Patients and Methods: From 2000 to 2017, 80 patients with nPTCLs were eligible for GATA3 gene expression analysis that was assessed retrospectively by quantitative real time PCR (qRT-PCR) of neoplastic biopsies in Formalin-Fixed Paraffin-Embedded samples (FFPE). Results: Median age was 49 years old (IqR 34-59), 43/80 (53.7%) were male. Median follow-up was 1.72 years. Of them, 36.3% were classified as PTCL/NOS, 31.2% ALK-negative ALCL, 21.2% ALK-positive ALCL and 11.3% AITL. The majority of cases had advanced stage (III/IV). Two-year estimated overall survival (OS) and progression-free survival (PFS) were 52.2% and 39.5%, respectively. The median GATA3 gene expression level was 0.49% (range 0 – 7.07) in all cohort, it was 0.11% for ALK-positive ALCL, 0.46% for ALK-negative ALCL, 0.86% for PTCL/NOS and 0.67% for AITL. The difference of GATA3 gene expression among distinct variants of nPTCLs was statistically significant (p < 0.001). GATA3 gene expression levels ≥ 0.71% discriminate PTCL/NOS from ALK-negative ALCL and AITL with sensitivity of 62% and specificity of 80.3%. GATA3 gene expression levels ≥ median was associated with poor 2-year OS for PTCL/NOS (46.7% x 21.4%, p=0.04) and for ALK-negative ALCL (85.7% x 54.5%, p=0.04). Conclusion: Despite the relative small and heterogeneous group of patients with nPTCLs, GATA3 gene overexpression may be an important biomarker associated with poor prognosis in PTCL/NOS and ALK-negative ALCL. Moreover it may also discriminate different subtypes of nPTCLs. Further studies with larger series of patients should confirm our findings.

Preprint ARTICLE | doi:10.20944/preprints201806.0114.v1

Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains

Rodrigo Cofré, Cesar Maldonado, Fernando Rosas

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: computational neuroscience; spike train statistics; maximum entropy principle; large deviation theory; out-of-equilibrium statistical mechanics; thermodynamic formalism; entropy production

Online: 7 June 2018 (11:06:22 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0263.v1

Precision Permittivity Measurement for Low-Loss Thin Planar Materials Using Large Coaxial Probe from 1 to 400 MHz

Kok Yeow You, Man Seng Sim

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: large coaxial probe; thin planar materials; low-loss materials; relative permittivity; reflection coefficient; calibration

Online: 12 October 2018 (08:19:52 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201908.0070.v1

Globalization of Russian Cities: Towards a Construction of Large Urban Regions

Mikhail Rogov, Céline Rozenblat

Subject: Social Sciences, Geography, Planning And Development Keywords: city; large urban regions; Russia; globalization; open database

Online: 6 August 2019 (08:33:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202402.1709.v1

LLM- Based Personalized Recommendations in Health

Boris A. Galitsky

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Large Language Models; personalization; recommendation; meta-prompts; abductive reasoning

Online: 29 February 2024 (12:51:47 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201912.0317.v1

Cavitation Simulation and Mechanism Analysis of Underwater Jet of Cleaning Equipment for Aquaculture Fishing Net

Taiping Yuan, Xiaohua Huang, Yu Hu, Shaomin Wang, Haiyang Liu, Qiyou Tao, Gengxi Guo

Subject: Engineering, Mechanical Engineering Keywords: Cavitation jet; Finite volume method; Structural parameters; Numerical Simulation

Online: 24 December 2019 (11:12:20 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202010.0318.v1

Large Intelligent Surfaces Communicating Through Massive MIMO Rayleigh Fading Channels

Ricardo Coelho Ferreira, Michelle S. P. Facina, Felipe A. P. de Figueiredo, Gustavo Fraidenraich, Eduardo Rodrigues de Lima

Subject: Engineering, Automotive Engineering Keywords: Large intelligent surfaces; massive MIMO systems; maximum ratio transmission; Von Mises distribution; Rayleigh fading

Online: 15 October 2020 (11:29:14 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201911.0253.v1

Calculating Point Cloud Object Volume Using Co-Opposite-Direction Slicing Method

Bin Li, Xiaowei Bi, Cheng Peng, Yong Chen, Xiaofa Zhao, Chengsheng Yang

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: point cloud objects (PCOs); volume calculation (VC); co-opposite-direction slicing method (CODSM); systematic directional errors; random errors

Online: 22 November 2019 (05:37:00 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201812.0078.v1

Correlations between Air Permeability Coefficients and Pore Structure Indicators of Cementitious Materials

Yuya Sakai

Subject: Engineering, Civil Engineering Keywords: air permeability; total pore volume; critical pore diameter; threshold pore diameter; median pore diameter; Katz–Thompson equation

Online: 6 December 2018 (07:50:19 CET)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Cosmological Constant Decaying with CMB Temperature

Tomohide Sonoda

Subject: Physical Sciences, Mathematical Physics Keywords: dark energy; dark matter; cosmic microwave background; large numbers hypothesis; varying fundamental constants; symmetry

Online: 14 June 2019 (09:53:08 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201809.0019.v1

Positron Spectroscopy of Polyvinylidene Fluoride after Helium Ions Irradiation

Roman Laptev, Jinzhe Lyu, Natalya Dubrova

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: positron annihilation; free volume; crystallinity; XRD; polyvinylidene fluoride; helium ions; absorbed dose; cross-linking; degradation; Braking ability; linear absorption coefficient; Backscatter coefficient; bremsstrahlung

Online: 3 September 2018 (10:48:30 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201912.0128.v1

Comparative Analysis of Risk Management Techniques for Large-Scale Systems

Mehreen Sirshar, Aliya Shahid, Zoya Alam

Subject: Engineering, Control And Systems Engineering Keywords: large scale systems; risk assessment; risk management techniques; risk mitigation

Online: 10 December 2019 (07:14:12 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202010.0298.v2

Cosmic Ray Extremely Distributed Observatory

Piotr Homola, Dmitriy Beznosko, Gopal Bhatta, Łukasz Bibrzycki, Łukasz Bratek, Michalina Borczyńska, Nikolay M. Budnev, Dariusz Burakowski, David Edwin Alvarez-Castillo, Kevin Almeida Cheminant, Aleksander Ćwikła, Punsiri Dam-o, Niraj Dhital, Alan Duffy, Piotr Głownia, Krzysztof Gorzkiewicz, Dariusz Góra, Alok C. Gupta, Zuzana Hlávková, Martin Homola, Joanna Jałocha, Robert Kamiński, Michał Karbowiak, Marcin Kasztelan, Renata Kierepko, Marek Knap, Péter Kovács, Szymon Kuliński, Bartosz Łozowski, Marek Magryś, Mikhail V. Medvedev, Justyna Mędrala, Jerzy W. Mietelski, Justyna Miszczyk, Alona Mozgova, Antonio Napolitano, Vahab Nazari, Y. Jack Ng, Michał Niedźwiecki, Cristina Oancea, Bogusław Ogan, Gabriela Opiła, Krzysztof Oziomek, Maciej Pawlik, Marcin Piekarczyk, Bożena Poncyljusz, Jerzy Pryga, Matías Rosas, Krzysztof Rzecki, Jilberto Zamora-Saa, Katarzyna Smelcerz, Karel Smolek, Weronika Stanek, Jarosław Stasielak, Slawomir Stuglik, Jolanta Sulma, Oleksandr Sushchov, Manana Svanidze, Kyle Tam, Arman Tursunov, José-M. Vaquero, Tadeusz Wibig, Krzysztof W. Woźniak

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: cosmic rays; cosmic ray ensembles; extensive air showers; large scale cosmic ray correlations; CREDO Collaboration

Online: 15 October 2020 (16:13:43 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201812.0171.v1

One of the 2G Bioethanol Queries: Straw Volume

Yangsheng LU, Robert S.P. Liu, Jens Kirk Thomsen

Subject: Engineering, Energy And Fuel Technology Keywords: 2G bioethanol, Straw, Raw material volume, Question

Online: 14 December 2018 (09:44:23 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202312.1987.v1

Enhancing Accuracy in Large Language Models Through Dynamic Real-Time Information Injection

Qian Ouyang, Shiyu Wang, Bing Wang

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Large Language Models; Real-Time Data Integration; Content Hallucination; Alpaca Model; Accuracy Improvement; Dynamic Data Processing

Online: 26 December 2023 (11:01:25 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202305.0900.v1

Unraveling the Mysteries of AI Chatbots

Raj Bridgelall

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Generative Artificial Intelligence; Large Language Models; ChatGPT; Bard; Transformer Architecture; Prompt Engineering

Online: 12 May 2023 (07:47:13 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202310.1487.v1

An Efficient Plug-and-Play Post-Training Pruning Strategy in Large Language Models

Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: post-training pruning; combinatorial optimization; large language models; inference acceleration

Online: 24 October 2023 (07:51:13 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints201809.0247.v1

Group entropies: from phase space geometry to entropy functionals via group theory

Henrik Jeldtoft Jensen, Piergiulio Tempesta

Subject: Physical Sciences, Thermodynamics Keywords: Phase space volume, formal group theory, entropy

Online: 13 September 2018 (16:08:39 CEST)

Show abstract| Download PDF| Share

Working Paper ARTICLE

A Violently Tornadic Supercell ThunderstormSimulation Spanning a Quarter-Trillion Grid Volumes: Computational Challenges, I/O Framework, and Visualizations of Tornadogenesis

Leigh Orf

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Tornadogenesis; numerical simulation; volume rendering; visualization; supercell thunderstorm; Hierarchical Data Format; ZFP compression; VAPOR3

Online: 3 September 2019 (05:17:48 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202104.0003.v1

Under-Canopy UAV Laser Scanning Providing Canopy Height and Stem Volume Accurately

Juha Hyyppä, Xiaowei Yu, Teemu Hakala, Harri Kaartinen, Antero Kukko, Heikki Hyyti, Jesse Muhojoki, Eric Hyyppä

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: under-canopy surveys; UAV laser scanning; tree height; stem curve; stem volume; field reference; forest plot

Online: 1 April 2021 (09:53:15 CEST)

Show abstract| Download PDF| Share

Automation of forest field reference data collection has been an intensive research objective for laser scanning scientists ever since the invention of terrestrial laser scanning more than two decades ago. Recently, it has been proposed that such automated data collection providing both the tree heights and stem curves would require a combination of above-canopy UAV point clouds and terrestrial point clouds. In this study, we demonstrate that an under-canopy UAV laser scanning system utilizing a rotating laser scanner can alone provide accurate estimates of the canopy height and the stem volume for the majority of the trees in a boreal forest. To this end, we mounted a rotating laser scanner based on a Velodyne VLP-16 sensor onboard a manually piloted UAV. The UAV was commanded with the help of a live video feed from the onboard camera of the UAV. Since the system was based on a rotating laser scanner providing varying view angles, all important elements such as treetops, branches, trunks, and ground could be recorded with laser hits. In an experiment including two different forest structures, namely sparse and obstructed canopy, we showed that our system can measure the heights of individual trees with a bias of -20 cm and a standard error of 40 cm in the sparse forest and with a bias of -65 cm and a standard error of 1 m in the obstructed forest. The accuracy of the obtained tree height estimates was equivalent to airborne above-canopy UAV surveys conducted in similar forest conditions. The higher underestimation and higher inaccuracy in the obstructed site can be attributed to three trees with a height exceeding 25 m and the applied laser scanning system VLP-16 that had a limited height measurement capacity when it comes to trees taller than 25 m. Additionally, we used our system to estimate the stem volumes of individual trees with a standard error at the level of 10%. This level of error is equivalent to the error obtained when merging above-canopy UAV laser scanner data with terrestrial point cloud data. Future research is needed for testing new sensors, for implementing autonomous operation inside canopies through collision avoidance and navigation through canopies, and for developing robust methods that work also with more complex forest structure. The results show that we do not necessarily need a combination of terrestrial point clouds and point clouds collected using above-canopy UAV systems in order to accurately estimate the heights and the volumes of individual trees.

Preprint ARTICLE | doi:10.20944/preprints202208.0162.v1

Horizon of Cryptocurrency Before Vs During COVID-19

Ikaputera Waspada, Dwi Fitrizal Salim, Astrie Krisnawati

Subject: Business, Economics And Management, Finance Keywords: COVID-19, Cryptocurrency Return, Risk, Transaction Volume

Online: 8 August 2022 (13:48:44 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202004.0302.v1

From Local to Global: A Transfer Learning-Based Approach for Mapping Poplar Plantations at Large Scale

Yousra Hamrouni, Éric Paillassa, Véronique Chéret, Claude Monteil, David Sheeren

Subject: Environmental And Earth Sciences, Environmental Science Keywords: active learning; poplar plantations; spatial transfer; sentinel-2; large scale; image classification; random forest

Online: 17 April 2020 (15:05:54 CEST)

Show abstract| Download PDF| Share

Reliable estimates of poplar plantations area are not available at the French national scale due to the unsuitability and low update rate of existing forest databases for this short-rotation species. While supervised classification methods have been shown to be highly accurate in mapping forest cover from remotely sensed images, their performance depends to a great extent on the labelled samples used to build the models. In addition to their high acquisition cost, such samples are often scarce and not fully representative of the variability in class distributions. Consequently, when classification models are applied to large areas with high intra-class variance, they generally yield poor accuracies. In this paper, we propose the use of active learning (AL) to efficiently adapt a classifier trained on a source image to spatially distinct target images with minimal labelling effort and without sacrificing classification performance. The adaptation consists in actively adding to the initial local model, new relevant training samples from other areas, in a cascade that iteratively improves the generalisation capabilities of the classifier, leading to a global model tailored to different areas. This active selection relies on uncertainty sampling to directly focus on the most informative pixels for which the algorithm is the least certain of their class labels. Experiments conducted on Sentinel-2 time series showed that when the same number of training samples was used, active learning outperformed passive learning (random sampling) by up to 5% of overall accuracy and up to 12% of class F-score. In addition, and depending on the class considered, the random sampling required up to 50% more samples to achieve the same performance of an active learning-based model. Moreover, the results demonstrate the suitability of the derived global model to accurately map poplar plantations among other tree species with overall accuracy values up to 14% higher than those obtained with local models. The proposed approach paves the way for national-scale mapping in an operational context.

Working Paper ARTICLE

A DNBR Analysis to Patterns of Subchannel Control Volume

Byeung-Seok Kim, Kang-Hoon Moon, Kang-Hoon Kim, Jong-Seon Lim

Subject: Engineering, Energy And Fuel Technology Keywords: DNBR; Subchannel Control Volume; CHF; 5x5 rod bundle

Online: 15 December 2020 (13:11:26 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201911.0033.v4

Circuit-Based Approaches for a Superconducting-Like Behavior with Relatively High Critical Current Density

Shinichi Ishiguri

Subject: Physical Sciences, Condensed Matter Physics Keywords: temperature-independent superconductivity; circuit-approached superconductivity; electron pair; Bose– Einstein condensation; large superconducting energy gap; London equation; Meissner effect; macroscopic wave function; critical current density; negative voltages

Online: 20 February 2024 (22:14:28 CET)

Show abstract| Download PDF| Share

In general, a superconductor has zero resistance, although it requires significant refrigeration or high pressures with high manufacturing costs, which prevents it into practical applications. In other words, solving these issues implies main superconducting researches. To solve these problems, this paper describes a new type of superconductivity, which is independent for temperatures and which operates without pressures. The principles of the presented system are as follows:First a voltage source, a current source and a load are connected in series. Then, the voltage of the voltage source is adjusted to balance the voltage of the load. Under this condition, the balance of the two voltages provides a zero voltage between the taps of the current source and the generated current from the voltage source becomes zero because of the internal infinite resistance of the current source. As a result, the electric powers generated by the two sources are zero, and therefore, the load cannot generate Joule heating because of energy conservation. However, the current from the current source (not the voltage source) is not zero; therefore, we can predict that the resistance of the load must be zero. As a theory, we derived a new electric field and transient attractive force, which result in a very short coherence of an electron pair because there is not the Coulomb repulsive force due to the existence of the above transient attractive force. Note that both the forces are derived by the Poisson equation, which implies that they cannot be compatible. Therefore, the pair combination energy from spins becomes extremely strong, which is not destroyed by the normal heat energy. Moreover, every center-of-mass motion of electron pair results in the Bose-Einstein condensation and the macroscopic wave function, which produces the London equation (i.e., the Meissner effect). Moreover, by introducing the equivalent circuit, this paper conducted numerical calculations. As a result, we could derive numerically zero resistance and responses for additional static magnetic fields as a discharged current, which implies the Meissner effect. Note that this paper has prepared Appendix section, which provides a guide to reproduce actual experiments and preliminary experimental results. These results in the Appendix indicate the zero resistances and Meissner effects.

Preprint ARTICLE | doi:10.20944/preprints201904.0056.v1

Electrodeposition of Co-B/SiC Composite Coatings: Characterization and Evaluation of Wear Volume and Hardness

A. Villa-Mondragón, A. Martínez-Hernández, F. Manríquez, Y. Meas, J.J. Pérez-Bueno, Francisco J. Rodríguez-Valadez, J.C. Ballesteros, J. Morales-Hernández, Alia Méndez-Albores, G. Trejo

Subject: Chemistry And Materials Science, Electrochemistry Keywords: Co-B/SiC composite coatings; electrodeposition; hard coatings; wear volume

Online: 4 April 2019 (12:52:34 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201901.0269.v1

Evaluating the Adsorbed Water Layer on Polar Stationary Phases for Hydrophilic Interaction Chromatography (HILIC)

Yong Guo, Nidhi Bhalodia, Bassel Fattal, Ioannis Serris

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: volume ratio; adsorbed water layer; stationary phase; salt concentration; column temperature

Online: 28 January 2019 (08:31:15 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202202.0077.v1

Genetics of Externalizing Behavior and Structural Brain Development in Adolescence

Jalmar Teeuw, Marieke Klein, Nina Roth Mota, Rachel M. Brouwer, Dennis van 't Ent, Zyneb Al-Hassaan, Barbara Franke, Dorret I. Boomsma, Hilleke E. Hulshoff Pol

Subject: Social Sciences, Behavior Sciences Keywords: externalizing behavior; adolescence; gray matter volume; white matter integrity; heritability; genetic correlation; longitudinal; magnetic resonance imaging

Online: 4 February 2022 (15:07:45 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint COMMUNICATION | doi:10.20944/preprints202305.1540.v3

Revisiting the Political Biases of ChatGPT

Sasuke Fujimoto, Kazuhiro Takemoto

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ChatGPT; algorithm bias; political bias; large language model

Online: 26 May 2023 (07:37:33 CEST)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Weapon Configuration, Allocation and Route Planning for a Fleet of Unmanned Combat Air Vehicles

Jianmai Shi, Jiaming Zhang, Hongtao Lei, Zhong Liu

Subject: Engineering, Control And Systems Engineering Keywords: unmanned air vehicles; mission planning; routing; weapon configuration; adaptive large neighborhood search

Online: 16 April 2019 (10:40:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202012.0330.v1

Remote Sensing Application in Surveying Statewide Asphalt Pavement Aggregate Stockpile Inventory

Milad Zokaei Ashtiani, Steve Muench, David Shean

Subject: Engineering, Automotive Engineering Keywords: Hot Mix Asphalt; Aggregate Stockpile; RAP; Remote Sensing; Unmanned Aerial Vehicle; Drone; Photogrammetry; Structure from Motion; Density; Volume Calculation; Life Cycle Assessment

Online: 14 December 2020 (12:49:52 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0629.v1

Multiscale Hydro-Meteorological Factors Variations and Its Links to Large-Scale Atmospheric Circulation Systems in the Source Region of Yangtze River

Jian Tang, Hui-Qun Cao

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: hydro-meteorological factors; large-scale atmospheric circulation systems; South Asia monsoon; streamflows; source region of the Yangtze River

Online: 26 October 2018 (11:52:13 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202105.0282.v2

Design Optimization of Centrifugal Microfluidic "Lab-on-a-Disc" Systems towards Fluidic Larger-Scale Integration

Jens Ducrée

Subject: Computer Science And Mathematics, Software Keywords: centrifugal microfluidics, Lab-on-a-Disc, large-scale integration, reliability, tolerances, band width, packing density

Online: 8 June 2021 (12:07:35 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0704.v1

Semi-automatic Algorithms for Estimation and Tracking of AP-diameter of the IVC in Ultrasound Images

Ebrahim Karami, Mohamed Shehata, Andrew Smith

Subject: Engineering, Electrical And Electronic Engineering Keywords: inferior vena cava (IVC); ultrasound imaging; anterior posterior (AP) diameter; active ellipse; active rectangle; volume status

Online: 30 October 2018 (05:14:43 CET)

Show abstract| Download PDF| Share

Search Results

365 articles found