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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)

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Preprint ARTICLE | doi:10.3390/sci2010007

Static and Dynamic Evaluation of an UWB Localization System for Industrial Applications

Mickaël Delamare, Remi Boutteau, Xavier Savatier, Nicolas Iriart

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: indoor localization; Ultra WideBand (UWB); range estimation

Online: 29 February 2020 (00:00:00 CET)

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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)

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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)

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Preprint ESSAY | doi:10.20944/preprints202303.0107.v2

From Dearth to Excess: The Rise of Obesity in an Ultra-Processed Food System

Kevin Hall

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Obesity; food system; agriculture; ultra-processed food

Online: 22 May 2023 (14:20:35 CEST)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201704.0072.v1

Techno-Economic Analysis of Hydrokinetic Turbines

Anurag Kumar, R. P. Saini

Subject: Engineering, Mechanical Engineering Keywords: ultra-low head turbines; cost correlations; Darrieus; Savonius; small hydro energy

Online: 13 April 2017 (06:06:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0206.v3

Short-Range Vital Signs Sensing Based on EEMD and CWT Using IR-UWB Radar

Xikun Hu, Tian Jin

Subject: Engineering, Electrical And Electronic Engineering Keywords: impulse radio ultra-wideband (IR-UWB) radar; noncontact; short-range; vital signs; ensemble empirical mode decomposition (EEMD); continuous-wavelet transform (CWT)

Online: 10 November 2016 (07:13:01 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201702.0070.v1

Oxidation of Human Serum Albumin Exhibits Inter-Individual Variability after an Ultra-Marathon Mountain Race

Ypatios Spanidis, Alexandros Priftis, Dimitrios Stagos, George A. Stravodimos, Demetres D. Leonidas, Demetrios Kouretas

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: albumin; oxidative stress; exercise; ultra-marathon mountain race; protein oxidation

Online: 17 February 2017 (15:02:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints201705.0221.v1

Ultra-low Anti-reflection Coating on a Plastic Cover Slip in Liquid for He-Ne Laser Light

Jin-Cherng Hsu, Heng-Ying Cho, Tsang-Yen Hsieh, Jyh-Liang Wang

Subject: Physical Sciences, Optics And Photonics Keywords: ultra-low anti-reflection coating; ellipsometer; optical admittance method

Online: 31 May 2017 (11:50:18 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201610.0081.v1

Development and Application of a Wireless Sensor for Space Charge Density Measurement in an Ultra-High-Voltage, Direct-Current Environment

Encheng Xin, Yong Ju, Haiwen Yuan

Subject: Engineering, Control And Systems Engineering Keywords: Ultra High-voltage direct-current (UHVDC); space charge density; energy consumption; wireless communication; Zigbee

Online: 20 October 2016 (06:02:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1407.v1

Ultra-Processed Food Exposure and Adverse Health Outcomes: An Umbrella Review of Epidemiological Meta-Analyses

Melissa M. Lane, Elizabeth Gamage, Shutong Du, Deborah N Ashtree, Amelia J McGuinness, Sarah Gauci, Phillip Baker, Mark Lawrence, Casey M Rebholz, Bernard Srour, Mathilde Touvier, Felice N Jacka, Adrienne O’Neil, Toby Segasby, Wolfgang Marx

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: ultra-processed food; Nova food classification system; non-communicable disease; umbrella review; meta-analysis; randomised controlled trial

Online: 21 August 2023 (12:16:45 CEST)

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Objective: To evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes. Design: Systematic umbrella review of existing meta-analyses. Data Sources: MEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manually searching reference lists from 2009 to June 2023. Inclusion Criteria: Systematic reviews and meta-analyses of cohort, case-control, and/or cross-sectional study designs that evaluated the associations between exposure to ultra-processed foods and adverse health outcomes in humans across the lifespan. Results: The search identified 45 unique pooled analyses, including 13 dose-response and 32 non-dose-response associations (n=9,888,373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health outcome domains spanning cardiometabolic, gastrointestinal, and respiratory conditions, cancer, mental health, and mortality. Based on a pre-specified evidence classification criteria, convincing evidence (Class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease-related mortality (RR: 1.50; 95%CIs: 1.37 to 1.63), type two diabetes (dose-response RR: 1.12; 95%CIs: 1.11 to 1.13), and depressive outcomes (HR: 1.21; 95%CIs: 1.16 to 1.28), as well as higher risks of prevalent anxiety outcomes (OR: 1.48; 95%CIs: 1.37 to 1.59) and combined common mental disorder outcomes (OR: 1.53; 95%CIs: 1.43 to 1.63). Highly suggestive (Class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all-cause mortality (RR: 1.21; 95%CIs: 1.15 to 1.27), heart disease-related mortality (dose-response HR: 1.66; 95%CIs: 1.51 to 1.84), and type two diabetes (OR: 1.40; 95%CIs: 1.23 to 1.59), together with higher risks of prevalent obesity (OR: 1.55; 95%CIs: 1.36 to 1.77), adverse sleep-related outcomes (OR: 1.41; 95%CIs: 1.24 to 1.60), and wheezing (RR: 1.40; 95%CIs: 1.27 to 1.55). Out of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (Class III-IV) and 13 were graded as no evidence (Class V). Using the GRADE framework, 22 pooled analyses were rated as "Low" quality, with 19 rated as "Very Low” and four rated as "Moderate" quality. Conclusions: Higher exposure to ultra-processed food was associated with a greater risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to evaluate the effectiveness of using population-based measures to target and reduce dietary exposure to ultra-processed foods for improved human health. Systematic Review Registration: PROSPERO CRD42023412732.

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)

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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/preprints201806.0274.v2

Ultra-Low-Loss Silicon Waveguides for Heterogeneously Integrated Silicon/III-V Photonics

Minh Tran, Duanni Huang, Tin Komljenovic, Jonathan Peters, Aditya Malik, John Bowers

Subject: Physical Sciences, Optics And Photonics Keywords: ultra-low-loss waveguide; silicon photonics; heterogeneous integration; narrow linewidth lasers; high Q resonators.

Online: 16 July 2018 (15:14:32 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201911.0377.v1

Development of a 3D-Printable Ultra-High Performance Fiber-Reinforced Concrete for Digital Construction

Ravendran Arunothayan, Behzad Nematollahi, Ravi Ranade, Shin Hau Bong, Jay Sanjayan

Subject: Engineering, Architecture, Building And Construction Keywords: ultra-high-performance fiber-reinforced concrete (UHPFRC); mechanical properties; extrusion; 3D concrete printing (3DCP)

Online: 29 November 2019 (10:45:46 CET)

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Preprint REVIEW | doi:10.20944/preprints202104.0105.v1

Development of Therapies for Rare Genetic Disorders of GPX4: Roadmap and Opportunities

Dorian Cheff, Alysson Muotri, Brent Stockwell, Edward Schmidt, Qitao Ran, Reena Kartha, Simon Johnson, Plavi Mittal, Elias Arnér, Kristen Wigby, Matthew Hall, Sanath Ramesh

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Sedaghatian-type Spondylometaphyseal Dysplasia; SSMD; glutathione peroxidase 4; GPX4; rare genetic disorder; therapy development; roadmap; ultra-rare disease

Online: 5 April 2021 (11:57:03 CEST)

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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)

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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)

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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)

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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)

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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)

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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.

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)

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Preprint ARTICLE | doi:10.20944/preprints201710.0115.v1

A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications

Giovanni Diraco, Alessandro Leone, Pietro Siciliano

Subject: Engineering, Electrical And Electronic Engineering Keywords: fall detection; vital signs monitoring; ultra-wideband radar; micro-Doppler

Online: 17 October 2017 (11:45:13 CEST)

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Working Paper REVIEW

On Statistical Analysis of Brain Variability

Oliver Y. Chén, Huy Phan, Guy Nagels, Maarten de Vos

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: Analysis of variance; Variance-decomposition; The Bayesian brain; High-dimensional data; Association; Explanation; Prediction; Causation; The neural law of large numbers

Online: 23 September 2021 (11:13:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0269.v1

Is There a Role of Beetroot Consumption on the Recovery of Oxidative Status and Muscle Damage in Ultra-Endurance Runners?

Eva Vilar, Eladio Collado-Boira, Carlos Guerrero, Ana Folch-Ayora, Pablo Salas-Medina, Carlos Hernando, Pablo Baliño, María Muriach

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: oxidative stress; ultra-endurance sport; antioxidants; muscle damage

Online: 5 February 2024 (10:32:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints201901.0326.v1

Means as Improper Integrals

John E. Gray, Andrew Vogt

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Law of Large Numbers; weak or Kolmogorov mean; Abel's Theorem; mollifiers; summation methods; stable distributions

Online: 31 January 2019 (10:58:52 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202203.0017.v1

Initiation of a “Lost” Large River on the East Asia Margin in the Middle Eocene

Xiaowei Fu, Rong Yang, Weilin Zhu, Shouye Yang, Jianhua Geng, Luyao Zhang

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: East Asia; Detrital zircon; Large River; Rift Basin

Online: 1 March 2022 (11:07:26 CET)

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The forming of large rivers are the integral consequences of the deep earth process and the surface. In contrast to the hot topics for rivers related to orogenic domains, rift-related large rivers are largely ignored especially in deep time studies. The Cenozoic East Asia margin provides very good opportunity to observe this kind of rivers. It has been believed that basin-and-swell physiography dominated the East Asia margin and impeded the forming of large rives in the early Cenozoic. In this paper, we combined provenance analysis of East China Sea Basin, where is a crucial place to trace the river evolution in East Asia margin, and regional geologic constraints to reveal drainage reorganizations. Detrital zircon U-Pb ages from the Early Eocene sediments of the East China Sea Basin are firstly reported. Our results together with literature data demonstrate that regional provenance changes occurred at the middle Eocene from one singe age peak at ~110 Ma of proximal sources to multiple age spectrum derived from far inland. Source to sink analysis indicated that the North China Block and Korea Peninsular provided the most detritus. Sedimentation and tectonic features of rift basins in the potential source areas indicated that rivers flowed into Bohai Basin and Jianghan Basin cannot provide terrigenous clasts for the lower reaches in the Eocene. Contrastingly, the dominantly fluvial sediments across the Subei-South Yellow Sea Basin suggested external river system and a bypassing region since the middle Eocene, coinciding with provenance change in ECSB. All these demonstrated that a large river (East Asia River) established in east Asia margin in the middle Eocene and flowed southwestward approximately 1500km to the sea in southern ECSB. This river might last to the middle Miocene. The deep earth processes driven by Izanagi-Pacific ridge subduction resulted in the overfilled stage of Subei-South Yellow Sea Basin and the post-rift subsidence in west depression of ECSB, and thus facilitated the initiation of the EAR. Our finding shed new light on the evolving landscape in East Asia and showed how subduction of deep earth process controlled the initiation of rift-related large rivers.

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)

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Preprint ARTICLE | doi:10.20944/preprints201810.0609.v1

The Concept of Comprehensive Data Analysis from Ultra-Wideband Subsystem for Smart City Positioning Purposes

Damian Grzechca, Krzysztof Hanzel, Krzysztof Paszek

Subject: Engineering, Electrical And Electronic Engineering Keywords: positioning; ultra-wide band; filtration; Kalman filter; smart city; industry 4.0

Online: 25 October 2018 (14:04:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0015.v1

Hybrid Incremental Model for Imbalance Detection in Ultra-high Precision Rotating Devices

Rodolfo Haber, Raúl Mario del Toro Matamoros

Subject: Engineering, Control And Systems Engineering Keywords: modeling; intelligent systems; imbalance detection; ultra-high precision rotating machine

Online: 3 October 2017 (13:39:35 CEST)

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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)

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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)

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Preprint REVIEW | doi:10.20944/preprints202204.0048.v1

A Real-Life Manual for the Identification of Ultra-Processed Food and Its Use in Lifestyle Disease Prevention

Matej Kohutiar, Hana Krejci, Jan Vyjidak, Adam Obr

Subject: Biology And Life Sciences, Food Science And Technology Keywords: lifestyle diseases; food processing; ultra-processed food; NOVA classification; nutrition

Online: 6 April 2022 (13:44:53 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202007.0088.v1

From Firm Solar Power Forecasts to Firm Solar Power Generation: An Effective Path to Ultra-High Renewable Penetration - A New York Case Study

Richard Perez, Marc Perez, Sergey Kivalov, James Schlemmer, John Dise, Thomas E. Hoff, Agata Swierc, Patrick Keelin, Marco Pierro, Cristina Cornaro

Subject: Engineering, Energy And Fuel Technology Keywords: Firm power generation; Energy storage; Irradiance forecasts; Implicit storage; Grid integration; ultra-high RE penetration

Online: 5 July 2020 (16:27:08 CEST)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201811.0448.v1

Ultra Low Temperature Process Effects on Micro-Scale Abrasion of Tool Steel AISI D2

Sílvio José Gobbi, Vagner João Gobbi, Gustavo Reinke

Subject: Engineering, Mechanical Engineering Keywords: Micro-Scale Abrasion; Ultra Low Temperature Process (ULTP) Tool Steel AISI D2;

Online: 19 November 2018 (10:32:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0332.v1

Microdrop Deposition Technique: Preparation and Characterization of Diluted Suspended Particulate Samples

Salvatore Macis, Giannantonio Cibin, Valter Maggi, Giovanni Baccolo, Dariush Hampai, Barbara Delmonte, Alessandro D'Elia, Augusto Marcelli

Subject: Chemistry And Materials Science, Other Keywords: ultra-dilution; droplets; water; evaporation; X-ray fluorescence

Online: 24 May 2018 (05:43:52 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201903.0135.v1

Tie-System Calibration for the Experimental Setup of Large Deployable Reflectors

Alessandro Cammarata, Rosario Sinatra, Riccardo Rigato, Pietro Davide Maddio

Subject: Engineering, Mechanical Engineering Keywords: large deployable reflector; tie adjustment; experimental setup

Online: 12 March 2019 (10:24:06 CET)

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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)

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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)

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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)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202011.0313.v1

Is Improved Milk Production from Supplementation of Buffalo with Molasses Nutrient Blocks Containing 10% Urea, a Greenhouse Gas Emissions Mitigation Strategy?

Peter Windsor, Susan Martin, Syseng Khounsy, James Young, Peter Thomson, Russel Bush

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Asiatic swamp buffalo (Bubalus bubalis); large ruminant production; Laos; dairy; molasses nutrient blocks; supplementation

Online: 10 November 2020 (13:18:15 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201907.0062.v1

Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection

Federica Landreani, Andrea Faini, Alba Martin-Yebra, Mattia Morri, Gianfranco Parati, Enrico Caiani

Subject: Medicine And Pharmacology, Other Keywords: ballistocardiography; seismocardiography; ultra-short heart rate variability; stress evaluation; smartphone; accelerometers

Online: 3 July 2019 (10:49:55 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202207.0271.v1

Ultra-High-Performance Fiber-Reinforced Concrete: Applications

Shaker Qaidi

Subject: Engineering, Civil Engineering Keywords: Ultra-High-Performance Concrete; applications

Online: 18 July 2022 (11:07:08 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202108.0469.v2

A Fast Lightweight Based Deep Fusion Learning for Detecting Macula Fovea Using Ultra-Widefield Fundus Images

Han Wang, Jie Yang, Yaoyang Wu, Wencai Du, Simon Fong, Yutong Duan, Xiaoping Yao, Xiaoshu Zhou, Qingqian Li, Chen Lin, Jiang Liu, Lina Huang, Feng Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: U-shape network; fully convolutional networks; deep learning; macula fovea; ultra-widefield Fundus images

Online: 7 September 2021 (11:51:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0001.v2

Perspectives on the Use of Hyaluronidase from the Red King Crab Hepatopancreas in Treating Filler Complications: In Vitro Investigations

Tatyana Ponomareva, Dmitrii Sliadovskii, Maria Timchenko, Maxim Molchanov, Alexander Timchenko, Evgeny Sogorin

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: treating filler complications; hyaluronidase; red king crab; hepatopancreas; hyaluronic acid (HA); hyaluronidase activity; turbidimetric method; atomic force microscopy (AFM); nuclear magnetic resonance (NMR); Revofil Ultra filler; Hyaluform deep filler; Lydase; Liporase

Online: 14 October 2019 (15:42:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0096.v1

Test of a Modified Rainfall-runoff Model in Large-scale River Basins

Spyros Giakoumakis, Dimitris Tigkas

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: Rainfall-runoff model; large-scale river basins; calibration; validation

Online: 9 October 2019 (10:16:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0100.v1

Divergent Proteomic Responses Offer Insights Into Resistant Physiological Responses of a Reef-Foraminifera to Climate Change Scenarios

Marleen Stuhr, Louise P. Cameron, Bernhard Blank-Landeshammer, Steve S. Doo, Claire E. Reymond, Hildegard Westphal, Albert Sickmann, Justin B. Ries

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Amphistegina lobifera; Red Sea; pH microsensor; global warming; thermal stress; ocean acidification; large benthic foraminifera; coral reef; LC-MS/MS proteomics; photosymbiotic calcifier

Online: 2 March 2021 (15:52:01 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202011.0042.v1

Frugal Compound Microscopy for Microbiological Analysis and Education

atul anand

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: compound microscope; inexpensive microscopy; ultra-low-cost microscope

Online: 2 November 2020 (13:36:42 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201807.0380.v1

A Flexible Wireless Sensor Network based on Ultra-Wide Band Technology for Ground Instability Monitoring

Lorenzo Mucchi, Sara Jayousi, Alessio Martinelli, Stefano Caputo, Emanuele Intrieri, Giovanni Gigli, Teresa Gracchi, Francesco Mugnai, Massimiliano Favalli, Alessandro Fornaciai, Luca Nannipieri

Subject: Engineering, Electrical And Electronic Engineering Keywords: Ultra-Wide Band; wireless sensor networks; monitoring; warning system; ground instability; landslide; Time Of Flight, Two-way ranging.

Online: 20 July 2018 (11:56:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0458.v1

On a Few Superficial Presentations of Ultra-Weak Photon Emission of Human: an Analytical Hypothesis

Daqing Piao

Subject: Physical Sciences, Biophysics Keywords: ultra-weak photon emission; age; temporal variation; asymmetry; analytical model; photon diffusion

Online: 19 October 2018 (16:40:31 CEST)

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Ultra-weak photon emissions (UPEs) including those from human have been experimented for decades. The photo-genic origin of UPE has also been attributed to the oxidative stress or free radical production that is unique to metabolically active states of biological organisms. However, there are considerable gaps in quantitative understanding of UPE. In this work, I propose an analytical framework of hypothesis for the initial objective of modeling a few superficial presentations of UPE of human, including the systematic dependency on age, the diurnal variation, and the geometric asymmetry associated with serious asymmetrical pathological conditions. The hypothesis which is currently limited to human assumes a new form of energy state, termed vivo-nergy, which resides only in metabolically active organisms that are also under neuronal control. The hypothesis projects a decrease of the vivo-nergy in human during growth beyond puberty, with the rate of decrease dictated by a critical time-scale---the age of the first opposite-sex sexual intercourse (FOSSI). The hypothesis also proposes a modification of the vivo-nergy by the phases of systematic or homeostatic physiology. The hypothesis further postulates that the deviation of the physiology-modified vivo-nergy from the pre-puberty level is deteriorated by acquired organ-specific pathological conditions. Any reduction of vivo-nergy from the pre-puberty level is hypothesized to proportionally cause oxidative stress that functions as the physical source of UPE. The resulted steady-state diffusion of the photon emitted from a photo-genic source of UPE in a human geometry simplified as a homogeneous spherical domain is modeled by photon diffusion principles incorporating an extrapolated zero-boundary condition. The age and systematic physiology combined determines the intensity of the centered physiological photo-genic source. The acquired (single) pathology sets both the intensity and the off-center position of the (single) pathological photo-genic source. When the age-related, physiology-commanded, and pathology-controlled modifications of the photo-genetic sources are implemented in the photon diffusion model, the photon fluence rate at the surface of the simplified human-representing spherical domain reveals the dependency on age, the temporal variation corresponding to systematic physiology, and the geometric asymmetry associated with significant asymmetric pathological condition as reported previously for UPE. The hypothesis, as it provides analytical conveniences for quantitative estimation of UPE patterns, may be useful to further model-based interpretation of the spatial-temporal characteristics of UPE.

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)

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

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

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

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

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

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Preprint 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)

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Preprint BRIEF REPORT | doi:10.20944/preprints202207.0406.v1

Ultra-High-Performance Fiber-Reinforced Concrete: Fresh Properties

Shaker Qaidi

Subject: Engineering, Civil Engineering Keywords: Ultra-High-Performance Fiber-Reinforced Concrete; Fresh properties

Online: 26 July 2022 (10:50:18 CEST)

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Working Paper ARTICLE

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

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

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

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

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Preprint ARTICLE | doi:10.20944/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)

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Preprint CASE REPORT | doi:10.20944/preprints202101.0249.v1

How Fear of COVID-19 Can Affect Treatment Choices for Anaplastic Large Cell Lymphomas Alk+ Therapy: A Case Report

Antonello Sica, Caterina Sagnelli, Beniamoni Casale, Gino Svaneta, Massimiliano Creta, Armando Calogero, Renato Franco, Evangelista Sagnelli, Andrea Ronchi

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Crizotinib; Anaplastic Large Cell Lymphomas ALK+; bridge therapy in NHL ALK+; ALK+ patients; anticancer therapy

Online: 13 January 2021 (12:58:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0177.v1

The Akimotoite--Majorite--Bridgmanite Triple Point Determined in Large Volume Press and Laser-Heated Diamond Anvil Cell

Britany Kulka, Jonathan Dolinschi, Kurt Leinenweber, Vitali Prakapenka, Sang-Heon Shim

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: triple point; bridgmanite; akimotoite; majorite; large-volume press; laser-heated diamond anvil cell

Online: 12 December 2019 (12:47:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0393.v1

Towards Self-Powered WSN: The Design of Ultra-Low-Power Wireless Sensor Transmission Unit Based on Indoor Solar Energy Harvester

Fathi Mahdi Elsiddig Haroun, Siti Noratiqah Mohamad Deros, Ammar Ahmed Alkahtani, Norashidah Md Din

Subject: Engineering, Electrical And Electronic Engineering Keywords: Energy harvester; LoRa; solar power; ultra-low power; WSN

Online: 26 January 2022 (12:04:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0416.v1

All Femtosecond Optical Pump and X-Ray Probe: Holey-Axicon for Free Electron Laser

Vijayakumar Anand, Jovan Maksimovic, Tomas Katkus, Soon Hock Ng, Orestas Ulcinas, Mindaugas Mikutis, Justas Baltrukonis, Antanas Urbas, Gintas Slekys, H. Ogura, Daisuke Sagae, Tatiana Pikuz, Toshihiro Somekawa, Norimasa Ozaki, Arturas Vailionis, Gediminas Seniutinas, Vygantas Mizeikis, Karl Glazebrook, Jean P. Brodie, Paul R. Stoddart, Ludovic Rapp, Andrei V. Rode, Eugene G. Gamaly, Saulius Juodkazis

Subject: Physical Sciences, Quantum Science And Technology Keywords: X-rays; free electron laser (FEL); ultra-short phenomena; pump-probe; warm-dense matter; astrophotonics; co-axial volumetric interaction diagnostics

Online: 26 May 2020 (03:53:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202101.0374.v1

Fetal Growth Acceleration – Current Approach to the Big Baby Issue

Jan Modzelewski, Anna Kajdy, Katarzyna Muzyka-Placzyńska, Dorota Sys, Michał Rabijewski

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Diabetes; Gestational; Diagnostic Techniques; Obstetrical and Gynecological; Fetal growth acceleration; Fetal Macrosomia; Large-for-gestational-age; Obstetrics; Pregnancy Complications; Stillbirth

Online: 19 January 2021 (11:42:09 CET)

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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)

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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 ARTICLE | doi:10.20944/preprints202102.0566.v1

Extending Cooling Rate Performance of Fast Scanning Chip Calorimetry by Liquid Droplet Cooling

Evgeny Zhuravlev, Jing Jiang, Dongshan Zhou, René Androsch, Christoph Schick

Subject: Physical Sciences, Acoustics Keywords: ultra-fast cooling; vitrification; glass transition; fast scanning calorimetry; liquid cooling

Online: 25 February 2021 (07:56:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202109.0195.v1

Extending a Large-scale Model to Better Represent Water Resources without Increasing the Model Complexity

Robyn Horan, Nathan J. Rickards, Alexandra Kaelin, Helen E. Baron, Thomas Thomas, Virginie D.J. Keller, Prabhas K. Mishra, Manish K. Nema, Sekhar Muddu‬, Kaushal K. Garg, Rishi Pathak, Helen A. Houghton-Carr, Harry Dixon, Sharad K. Jain, Gwyn Rees

Subject: Environmental And Earth Sciences, Environmental Science Keywords: large-scale model; hydrology; groundwater; reservoirs; Cauvery; Narmada.

Online: 13 September 2021 (09:17:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0008.v1

Adipophilin and Perilipin 3 Correlate with Total Lipid Content in Human Breast Milk

Tereza Pavlova, Zdenek Spacil, Veronika Vidova, Filip Zlamal, Eliska Cechova, Zuzana Hodicka, Julie Bienertova-Vasku

Subject: Biology And Life Sciences, Endocrinology And Metabolism Keywords: perilipins, milk lipid globules, human breast milk, lipid content, tandem mass spectrometry, ultra-high performance liquid chromatography

Online: 1 October 2018 (12:18:46 CEST)

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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)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202308.1110.v1

Change in Ultra-Processed Food Consumption Moderates Clinical Trial Outcomes in Depression: A Secondary Analysis of the SMILES Randomised Controlled Trial

Melissa M Lane, Mojtaba Lotfaliany, Priscila Machado, Felice N Jacka, Mohammadreza Mohebbi, Adrienne O’Neil, André O Werneck, Carlos Monteiro, Amy Loughman, Tetyana Rocks, Nikolaj Travica, Michael Berk, Rachelle S Opie, Wolfgang Marx

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: ultra-processed food; Nova food classification system; major depressive disorder; nutritional psychiatry; secondary analysis; randomised controlled trial

Online: 15 August 2023 (09:38:10 CEST)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201810.0637.v1

Untangling Cosmic Magnetic Fields: Faraday Tomography at MetreWavelengths with LOFAR

Shane O'Sullivan, Marcus Brüggen, Cameron Van Eck, Martin Hardcastle, Marijke Haverkorn, Timothy Shimwell, Cyril Tasse, Valentina Vacca, Cathy Horellou, George Heald

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: magnetic fields; Faraday tomography; large-scale structure; AGN; Milky Way

Online: 26 October 2018 (15:35:41 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202009.0093.v1

Bridging Macro and Micro Cosmos by a New Sight on “Photon Aging” – A Simple Approach for Explaining Diracs Large Numbers

J. Michael Köhler

Subject: Physical Sciences, Mathematical Physics Keywords: Red shift; Photons; Quantum delocalization; Energy dissipation; Hubble constant; Large numbers

Online: 4 September 2020 (08:39:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0438.v1

Statistical Analysis of Dynamic Subgrid Modeling Approaches in Large Eddy Simulation

Mohammad Khalid Hossen, Asokan Mulayath Variyath, Jahrul M Alam

Subject: Physical Sciences, Fluids And Plasmas Physics Keywords: large eddy simulation; vortex stretching; subgrid model; isotropic turbulence

Online: 24 September 2021 (14:10:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0637.v1

Use of Waste from Granite Gang Saws to Manufacture Ultra-High Performance Concrete Reinforced with Steel Fibres

Fernando López Gayarre, Jesús Suárez González, Iñigo Lopez Boadella, Carlos López-Colina Pérez, Miguel Serrano López

Subject: Engineering, Automotive Engineering Keywords: ultra-high performance concrete; waste; granite gang saws; steel fibres, compressive strength, flexural strength, elasticity modulus

Online: 31 January 2021 (11:08:23 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints201807.0312.v1

Extreme Energy Density Confined inside a Transparent Crystal: Status and Perspectives of Solid-Plasma-Solid Transformations

Eugene Gamaly, Saulius Juodkazis, Andrei Rode

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: light-matter interaction, ultra-short laser pulses, high-pressure/density conditions, phase transitions

Online: 17 July 2018 (14:57:31 CEST)

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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)

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Working Paper ARTICLE

Introducing a New Comprehensive Model for Fault Detection and Condition Monitoring of Rotor Bars of Large Induction Motors Based on MCSA and ZCT Methods

Abolfazl Attar

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: condition monitoring; faulty rotor bar detection; large induction motor; neural network; classification; MCSA; ZCT

Online: 18 March 2021 (11:01:43 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202105.0702.v1

Prognostic Value of PD-L1, PD-1 and CD8A in Canine Diffuse Large B-cell Lymphoma Detected by RNAscope

Luca Aresu, Laura Marconato, Valeria Martini, Antonella Fanelli, Luca Licenziato, Greta Foiani, Erica Melchiotti, Arturo Nicoletti, Marta Vascellari

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Dog; diffuse large B-cell lymphoma; PD-1; PD-L1; RNAscope

Online: 28 May 2021 (13:26:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0021.v1

Spectral-Element Simulation of the Turbulent Flow in an Urban Environment

Maxime Stuck, Alvaro Vidal, Pablo Torres, Hassan M. Nagib, Candace Wark, Ricardo Vinuesa

Subject: Engineering, Automotive Engineering Keywords: urban flows; turbulence; well-resolved large-eddy simulations

Online: 1 June 2021 (10:43:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0336.v1

Achieving Ultra-High Performance Concrete by Using Packaging Models in Combination with Nanoadditions

Jesús Díaz, Jaime C. Gálvez, Marcos G. Alberti, Alejandro Enfedaque

Subject: Engineering, Automotive Engineering Keywords: Particle packing; packaging models; packaging density; concrete; addition; nano addition; ultra-high-performance concrete

Online: 18 January 2021 (12:44:45 CET)

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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)

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Preprint ARTICLE | doi:10.20944/preprints202106.0478.v1

Order Book Dynamics with Liquidity Fluctuations: Limit Theorems and Large Deviations

Helder Rojas, Anatoly Yambartsev, Artem Logachov

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Limit order book; Liquidity fluctuations; Markov chains; Limit theorems; Large Deviations; Flash crash

Online: 18 June 2021 (12:35:04 CEST)

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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)

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Preprint REVIEW | doi:10.20944/preprints202104.0376.v1

Genetic Events Inhibiting Apoptosis in Diffuse Large B-cell Lymphoma

Etienne Leveille, Nathalie A. Johnson

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Diffuse large B cell lymphoma; non-Hodgkin lymphoma; apoptosis; genetics; BCL2; NF-kB; TP53; mutations; translocations; amplifications

Online: 14 April 2021 (12:32:31 CEST)

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