Search | Preprints.org

Preprint ARTICLE | doi:10.20944/preprints202307.1393.v1

Large Language Models as Recommendation Systems in Museums

Georgios Trichopoulos, Markos Konstantakis, Georgios Alexandridis, George Caridakis

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: large language models; recommender systems; GPT-4; context awareness; personalization; cultural heritage; museum

Online: 20 July 2023 (08:41:04 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0877.v1

A Challenge in A(G)I, Cybernetics Revived in the Ouroboros Model as One Algorithm for All Thinking

Knud Thomsen

Subject: Physical Sciences, Other Keywords: Ouroboros Model; Analogical Algorithms; AI-Challenge; Large Language Models; Cybernetics; Synergetics; Understanding; Common Sense; Consciousness; Free Will.

Online: 13 July 2023 (12:28:07 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0899.v1

CFD Model Verification and Aerodynamic Analysis in Large-Scaled Venlo Greenhouse Complex for Tomato Cultivation

Anthony Kintu Kibwika, Hyo-Jae Seo, Il–Hwan Seo

Subject: Engineering, Other Keywords: Grid independent test; Large-scale greenhouse; Natural ventilation; Ventilation efficiency

Online: 13 July 2023 (09:33:12 CEST)

Show abstract| Download PDF| Share

Preprint SHORT NOTE | doi:10.20944/preprints202307.0751.v1

Detection of Two Phylogenetic Clusters in Helicobacter pylori 23S rRNA Phylogeny Suggests Emergence of Two Distinct Phylotype of the Species

Wenfa Ng

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Helicobacter pylori; large ribosome subunit; small ribosome subunit; 16S rRNA gene; 23S rRNA gene

Online: 12 July 2023 (09:18:55 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/preprints202307.0735.v1

A Computational Method for Complex-shaped Hydraulic Turbomachinery Flow Based on Immersed Boundary Method

Haoyu Li, Jiangang Feng, Yuan Zheng, Hui Xu, Huixiang Chen, Maxime Binama, Kan Kan

Subject: Engineering, Marine Engineering Keywords: computational fluids dynamic; immersed boundary method; large-eddy simulation; marine propeller

Online: 12 July 2023 (02:43:18 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0192.v2

Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights using the Aviation Safety Reporting System (ASRS)

Archana Tikayat Ray, Anirudh Prabhakara Bhat, Ryan T White, Van Minh Nguyen, Olivia J Pinon Fischer, Dimitri N Mavris

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Aviation Safety Reporting System; ASRS; Aviation Safety; Human Factors; Large Language Models; LLM; ChatGPT; Generative Language Models; GPT-3.5; aeroBERT; BERT; InstructGPT; Prompt Engineering

Online: 11 July 2023 (07:13:20 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0636.v1

Large Eddy Simulation of Utility-Scale Wind Farm Sited over Complex Terrain

Jagdeep Singh, Jahrul Alam

Subject: Physical Sciences, Fluids And Plasmas Physics Keywords: Wind farm; complex-terrain; large eddy simulation; dispersive stress

Online: 11 July 2023 (03:09:53 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202307.0229.v1

The Unmet Diagnostic and Treatment Needs in Large Cell Neuroendocrine Carcinoma of the Lung

Catalin Buium, Serban Negru, Diana Ionescu, Mircea Dediu

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: large cell; neuroendocrine; lung cancer; pathology; molecular subtypes; diagnosis; treatment

Online: 4 July 2023 (12:28:53 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0181.v1

Dielectric Elastomer Multi-Sensors and Tactile Actuators for Robot Fingers in Human-Robot Interaction

Seiki Chiba, Mikio Waki

Subject: Engineering, Mechanical Engineering Keywords: dielectric elastomer; sensor; actuator; vibrator; stretch; pressure; large deformation; CNT spray; load cells; SS curve

Online: 4 July 2023 (10:03:59 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202307.0163.v1

Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal

Célia Tavares, Luciana Oliveira, Pedro Duarte, Manuel Moreira Da Silva

Subject: Social Sciences, Language And Linguistics Keywords: artificial intelligence; neural machine translation; large language models; language service providers; translators; interpreters.

Online: 4 July 2023 (08:34:56 CEST)

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/preprints202306.1691.v1

Influence of Key Strata on the Evolution Law of Mining-induced Stress in the Working Face of Deep and Large-scale Mining

Jianlin Xie, Shan Ning, Weibing Zhu, Xiaozhen Wang, Tao Hou

Subject: Engineering, Mining And Mineral Processing Keywords: key strata; mining-induced stress; DOFS; 3DEC; large-scale mining

Online: 23 June 2023 (14:09:45 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202306.1461.v1

Mathematical Modeling of Gas-Solid Two-Phase Flows: Problems, Achievements and Perspectives (A Review)

Aleksey Yu. Varaksin, Sergei V. Ryzhkov

Subject: Physical Sciences, Fluids And Plasmas Physics Keywords: gas-solid two-phase flows; mathematical modeling; Lagrangian and Eulerian modeling; large eddy simulation (LES), direct numerical simulation (DNS)

Online: 20 June 2023 (15:50:34 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202306.1192.v2

Investigation on Dynamic Behavior of Ultra-Large Cold-water Pipe for Ocean Thermal Energy Conversion

Yanfang Zhang, Miaozi Zheng, Li Zhang, Chaofei Zhang, Jian Tan, Yulong Zhang, Menglan Duan

Subject: Engineering, Marine Engineering Keywords: Ocean Thermal Energy Conversion; Ultra-large cold-water pipe; Mechanical properties; Numerical simulation; Sensitivity analysis; Orthogonal experimental method

Online: 19 June 2023 (08:51:39 CEST)

Show abstract| Download PDF| Share

Ultra-large cold-water pipes (CWP) may present structural instability phenomenon under complex and variable operating conditions, and the current theoretical analysis rarely takes into account the influence of multiple key parameters at the same time, resulting in some errors between the prediction results and the actual deformation behavior of the pipe. Considering this issue, this paper establishes a computational analysis model of the mechanical performance of the CWP based on the Euler-Bernoulli beam theory, considering the effect of waves, the clump weight at the bottom, internal flow and sea current, and gives a time-dependent solution of the mechanical response of the pipe with the action of multiple key parameters using the differential quadrature method (DQM). Additionally, the correctness and validity of the theoretical model are well verified by comparing the numerical solution with the theoretical results. Finally, to study the effects of operating conditions on the mechanical response of the pipe, the effects of waves, the clump weight, internal flow and sea current on the lateral deflection and maximum bending moment of the pipeline are discussed based on numerical simulation and orthogonal experimental method. The results show that changing the wave strength and internal flow velocity has little effect on the lateral deflection of the CWP, and the clump weight at the bottom can effectively suppress the lateral deflection of the pipeline, but increasing the current velocity can significantly increase the lateral deflection of the pipeline, which can lead to the instability of the pipe. Nevertheless, the effects of waves, the clump weight, internal flow and sea current on the maximum bending moment of the pipeline are basically the same, all of them increase sharply at first, and then decrease gradually until they level off, and the differences in the effects are mainly reflected in the different locations of the pipe sections. This paper suggests the design guidance of CWP in aspect of dynamic response depending on the operating condition.

Preprint ARTICLE | doi:10.20944/preprints202306.0904.v1

Wavelet Transforms and Machine Learning Methods for the Study of Turbulence

Jahrul M Alam

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

Online: 13 June 2023 (08:47:00 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202306.0575.v1

Large Eddy Simulation Inflow Generation Using Reduced Length Scales for Low-Rise Buildings

Ava Shahrokhi, Julien Berthaut-Gerentes, Lin Ma, Derek Ingham, Mohamed Pourkashanian

Subject: Engineering, Mechanical Engineering Keywords: large eddy simulation; integral length scale; wind assessment; wind measurement

Online: 8 June 2023 (08:47:38 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202306.0586.v1

Harbor Porpoise Aggregations in the Salish Sea

Dave Anderson, Laurie Shuster, Cindy R. Elliser, Katrina MacIver, Erin Johns Gless, Johannes Krieger, Anna Hall

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: harbor porpoise; aggregation; social behavior; Phocoena phocoena; foraging behavior; large group; transboundary; community science; Salish Sea

Online: 8 June 2023 (04:18:24 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202306.0538.v1

Path Planning for Perpendicular Parking of Large Articulated Vehicles Based on Qualitative Kinematics and Geometric Methods

Inhwan Han

Subject: Engineering, Automotive Engineering Keywords: large articulated vehicles; automated perpendicular parking; geometric path plans; empirical methods; articulation angles; qualitative kinematics; uncertainties

Online: 7 June 2023 (10:44:54 CEST)

Show abstract| Download PDF| Share

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/preprints202306.0222.v1

Film Boiling Around a Finite Size Cylindrical Apecimen - A Transient Conjugate Heat Transfer Approach

Alen Cukrov, Yohei Sato, Ivanka Boras, Bojan Ničeno

Subject: Engineering, Mechanical Engineering Keywords: low Biot number material; conjugate heat transfer; film boiling; large-scale domain; turbulent flow; Kelvin-Helmholtz instability; frozen turbulence approach

Online: 2 June 2023 (16:40:35 CEST)

Show abstract| Download PDF| Share

The DNS of film boiling requires strong computational resources that are difficult to obtain for a daily CFD use by the practitioners of the industrial R&D experts. On the other hand, the film boiling experiments are associated with the usage of the expensive and highly sophisticated apparatus, and the research to this end is found to be relatively difficult due to high heat flow rates that are present in the process itself. When combined with a transient heat conduction in a solid, the problem becomes significantly difficult. Therefore, a novel method in computation of conjugate heat transfer during film boiling in a quiescent liquid has been proposed in this paper. The method relies on the solution of mass, momentum and energy conservation equations in a two-fluid framework, supplemented with the appropriate closures. Furthermore, the turbulent flow has been found as an important parameter in obtaining the accurate solution of the temperature field evolution in a solid specimen, via the proper modeling of turbulent kinetic energy (TKE) value, that has been imposed as a constant value, i.e., the frozen turbulence approach. It was found, in addition, that the appropriate TKE value can be obtained by use of Kelvin-Helmholtz instability theory in conjunction with the boundary layer theory. The obtained results show excellent agreement with the experimental data within the first 15 s of the experiment, i.e., the first ca. 10 % of the total duration of the film boiling mode of heat transfer. Furthermore, the heat transfer coefficient has matched the error bands prescribed by the authors of the paper that has presented the correlations, whilst the averaged values are far beyond this band, i.e., are slightly more than 30 % higher. The further inspection has revealed a measure of similarity between the computational result of the volume fraction field distribution and the experiment, thus confirming the capability of the method to obtain realistic interface evolution in time. The method has shown full capability for further pursuing the industrial-scale film boiling problems that involve turbulent flow and the conjugate heat transfer approach.

Preprint REVIEW | doi:10.20944/preprints202306.0196.v1

Ethical Challenges in the Development of Virtual Assistants Powered by Large Language Models

Andrés Piñeiro-Martín, Carmen Garcia-Mateo, Laura Docío-Fernández, María del Carmen López Pérez

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ethical challenges; virtual assistants; Large Language Models; ethical AI; ethical guidelines; data privacy; bias mitigation; public services; AI regulation

Online: 2 June 2023 (11:53:26 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.2266.v1

Unlocking Gel-powers: Exploring Rheological Marvels of Acrylamide/Sodium Alginate Double-Network Hydrogels

Shi-Chang Wang, Shu-Tong Du, Saud Hashmi, Shu-Ming Cui, Ling Li, Stephan Handschuh-Wang, Xuechang Zhou, Florian J. Stadler

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: Acrylamide; Sodium alginate; Double network hydrogel; Large amplitude oscillatory shear; Fourier transform rheology

Online: 31 May 2023 (14:35:55 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202305.2125.v1

Performance of Water Indices for Water Resources Monitoring Using Large-Scale Sentinel-2 Data

Mathias Tesfaye, Lutz Breuer

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Sentinel-2; remote sensing; Google Earth Engine; large-scale; water resource

Online: 30 May 2023 (11:24:44 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.2034.v1

Does Iodine Intake Play a Role in Modifying the Relationship between Maternal Dysglycemia and Birth Weight?

Yaniv S. Ovadia, Dov Gefel, Yoel Toledano, Shani Rosen, Yael Avrahami-Benyounes, Ludmila Groisman, Efrat Rorman, Lihi Hen, Shlomo Fytlovich, Liora S Katz, Eyal Y Anteby, Simon Shenhav

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: iodine deficiency; glucose challenge test; large for gestational age; thyroglobulin; io-dine-containing supplements; maternal dysglycemia

Online: 30 May 2023 (04:08:48 CEST)

Show abstract| Download PDF| 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

Preprint ARTICLE | doi:10.20944/preprints202305.1500.v1

Autologous Transplantation May Still Effectively Treat Relapsed Diffuse Large B-cell Lymphoma in Selected Patients

Reka Rahel Bicsko, Lili Antal, Ferenc Magyari, Róbert Szász, Miklós Udvardy, Arpad Illes, Lajos Gergely

Subject: Medicine And Pharmacology, Hematology Keywords: diffuse large B-cell lymphoma; relapsed; refractory; autologous stem cell transplantation

Online: 22 May 2023 (10:29:20 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202305.1344.v1

Gray-Zone Lymphoma: A Still Open Issue

Stefano Pileri, Valentina Tabanelli, Chiarle Roberto, Angelica Calleri, Federica Melle, Giovanna Motta, Maria Rosaria Sapienza, Elena Sabattini, Pier Luigi Zinzani, Enrico Derenzini

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: mediastinal gray-zone lymphoma; classical Hodgkin lymphoma; primary mediastinal B-cell lymphoma; diffuse large B-cell lymphoma; NOS; EBV-positive diffuse large B-cell lymphoma; NOS; morphology; phenotype; gene expression profile; mutational landscape

Online: 18 May 2023 (12:25:07 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.1325.v1

Agile Methodology for the Standardization of Engineering Requirements using Large Language Models

Archana Tikayat Ray, Bjorn F Cole, Olivia J Pinon Fischer, Anirudh Prabhakara Bhat, Ryan T White, Dimitri N Mavris

Subject: Engineering, Aerospace Engineering Keywords: Requirements Engineering; Natural Language Processing; NLP; BERT; Requirements boilerplates; Model-Based Systems Engineering; MBSE; Requirements table; Large Language Models (LLMs); Transformer based language models

Online: 18 May 2023 (10:19:18 CEST)

Show abstract| Download PDF| Share

The increased complexity of modern systems is calling for an integrated and comprehensive approach to system design and development and in particular, a shift towards Model-Based Systems Engineering (MBSE) approaches for system design. The requirements that serve as the foundation for these intricate systems are still primarily expressed in Natural Language (NL), which can contain ambiguities and inconsistencies that hinder their direct translation into models. The colossal developments in the field of Natural Language Processing (NLP) in general and Large Language Models (LLMs) in particular can serve as an enabler for the conversion of NL requirements into semi-machine-readable requirements. This is expected to facilitate their standardization and use in a model-based environment. This paper discusses a two-fold strategy for converting NL requirements into semi-machine-readable requirements using language models. The first approach involves creating a requirements table by extracting information from free-form NL requirements. The second approach is an agile methodology that facilitates the identification of boilerplate templates for different types of requirements based on observed linguistic patterns. For this study, three different LLMs were utilized. Two of these models were fine-tuned versions of Bidirectional Encoder Representations from Transformers (BERT), specifically aeroBERT-NER and aeroBERT-Classifier, which were trained on annotated aerospace corpora. Another LLM, called flair/chunk-english, was utilized to identify sentence chunks present in NL requirements. All three language models were utilized together to achieve the standardization of requirements. To demonstrate the effectiveness of the methodologies, requirements from Parts 23 and 25 of Title 14 Code of Federal Regulations (CFRs) were employed, and a total of two, five, and three boilerplate templates were identified for design, functional, and performance requirements, respectively.

Preprint REVIEW | doi:10.20944/preprints202305.1092.v1

Nutrition and Management Strategies in Suckling Pigs To Improve Post-Weaning Outcomes

Elisa A Arnaud, Gillian E Gardiner, Peadar G Lawlor

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: weaning; large litters; pain relief; split-suckling; enzymes; L-glutamine; creep feed

Online: 16 May 2023 (05:07:31 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.1047.v1

Bridging History with AI: A Comparative Evaluation of GPT- 3.5, GPT-4, and Google-BARD in Predictive Accuracy and Fact- Checking

Davut Emre Tasar, Ceren Öcal Taşar

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Artificial Intelligence; Large Language Models; GPT-3.5; GPT-4; Google-BARD; Historical Fact-Checking; Distance to Reality; History; AI in Education; Gap Bridging

Online: 15 May 2023 (12:53:11 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.0938.v1

Differentiation Capacity of Porcine Skeletal Muscle-Derived Stem Cells As Intermediate Species Between Mice and Humans

Tetsuro Tamaki, Toshiharu Natsume, Akira Kato, Nobuyuki Nakajima, Kosuke Saito, Tsuyoshi Fukuzawa, Masayoshi Otake, Satoko Enya, Akihisa Kangawa, Takeshi Imai, Miyu Tamaki, Yoshiyasu Uchiyama

Subject: Biology And Life Sciences, Cell And Developmental Biology Keywords: micro-mini pig; large animal experiment; GFP-transgenic pig; multipotent stem cells; skeletal muscle; nerve-muscle regeneration.

Online: 12 May 2023 (11:18:40 CEST)

Show abstract| Download PDF| Supplementary Files| 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 BRIEF REPORT | doi:10.20944/preprints202305.0768.v1

Predicting Large Wildfires in the Contiguous United States Using Deep Neural Networks

Sambandh Bhusan Dhal, Shubham Jain, Krishna Chaitanya Gadepally, Prathik Vijaykumar, Bhavesh Hariom Sharma, Bharat Sharma Acharya, Kevin Nowka, Stavros Kalafatis

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Climate; Contiguous United States; Deep Neural Network; Land Cover; Large Wildfire

Online: 10 May 2023 (14:46:12 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202305.0509.v1

Sensitivity Enhancement for Separation-Based Analytical Techniques Utilizing Large Volume Injection and Analyte Derivatization for Trace Analysis in Bio-Fluids

Hanan Farouk, Hager Ebrahim, Heba Sonbol, Monika Malak, Maha Kamal, Noha Ibrahim, Ahmed Shawky, Walaa Zarad, Ahmed Emad, Samy Emara

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: separation-based analytical techniques; large volume injection; solid phase enrichment; solid phase analytical derivatization; packed reactor; trace analysis

Online: 8 May 2023 (10:17:13 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202305.0467.v1

Multi-Stream Graph-based Deep Neural Networks for Skeleton-based Sign Language Recognition

Abu Saleh Musa Miah, Md. Al Mehedi Hasan, Si-Woong Jang, Hyoun-Sup Lee, Jungpil Shin

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Sign Language Recognition (SLR); Large Scale Dataset; American Sign Language; Turkey Sign Language; Chinese Sign Language; AUTSL; CSL

Online: 8 May 2023 (08:24:04 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

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/preprints202301.0219.v2

When to Use Large Language Model: Upper Bound Analysis of BM25 Algorithms in Reading Comprehension Task

Tingzhen Liu, Qianqian Xiong, Shengxi Zhang

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Large Language Model; natural language processing; reading comprehension; computational lin-guistics; information retrieval; BM25

Online: 30 March 2023 (03:51:37 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 ARTICLE | doi:10.20944/preprints202302.0420.v1

A Study on the Wide Range of Relative Humidity in Cirrus Clouds Using Large-Ensemble Parcel Model Simulations

Miao Zhao, Xiangjun Shi

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Cirrus clouds; Relative humidity; Parcel model; Large-ensemble simulations

Online: 24 February 2023 (07:15:52 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202302.0412.v1

An Adaptive Layered Clustering Framework with Improved Genetic Algorithm for Solving Large-Scale Traveling Salesman Problems

Hai-yang Xu, Heng-You Lan

Subject: Computer Science And Mathematics, Information Systems Keywords: Computational complexity analysis; High parallelizability; Improved genetic algorithm; Adaptive layered clustering framework; Large-scale traveling salesman problem

Online: 24 February 2023 (01:20:06 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202301.0083.v2

Do Social Event Attendees Cluster Based on Socioeconomic Status?

Kerecsen Szabó, Gergő Pintér, Imre Felde

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: mobile network data; call detail records; geospatial data; data analysis; human mobility; urban mobility; large social event; social sensing; socioeconomic status; machine learning; clustering

Online: 17 January 2023 (12:12:07 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202211.0471.v1

Provision of High-Quality Molasses Blocks to Improve Productivity and Address Greenhouse Gas Emissions from Smallholder Cattle and Buffalo in Developing Countries

Peter Andrew Windsor, Julian Hill

Subject: Biology And Life Sciences, Food Science And Technology Keywords: large ruminants, molasses blocks, greenhouse gas emissions, abatement, climate change

Online: 25 November 2022 (07:03:24 CET)

Show abstract| Download PDF| Share

Large ruminant production in developing countries is inefficient with low growth rates and likely high greenhouse gas emissions (GHGe) per unit of meat or milk produced. Trials conducted in Lao PDR from 2017-2020, studied ad-libitum supplementation for 12 weeks with 20kg high quality molasses nutrient blocks (MNB; Four Seasons Pty Ltd, Brisbane, Australia), that were either: non-medicated (NMB); fenbendazole-medicated (FMB5, Panacur100®, Coopers Australia, @ 5g/kg); triclabendazole-medicated (TMB5 or TMB10, Fasinex®, Novartis Australia, @ 5g/kg or @ 10g/kg, respectively); or formulated with urea (UMB8 or UMB10 @ 8% or 10% urea, respectively). Average daily gains (ADG) were determined for access to all MNB’s and compared with access to NMB’s, no supplementation, or previously determined free-grazing baseline ADG’s (55–84g in cattle; 92–106g in buffalo). ADGs were significantly improved following access to all MNBs for periods up to 12wks. ADGs following access to UMB8 or NMB were calculated for three age cohorts of cattle: young calves <8m (238-298g), growing cattle (143-214g) and lactating cows (179-191g). Modelling using IPCC Inventory software model V 2.69 of published data demonstrated a conservative net abatement of 350kg CO2e was achievable over a 200 day feeding period. An additional trial of Emissions control blocks (EMB’s, n = 200) distributed to farmers (n = 60) and two educational institutions, was conducted. Consumption rates (156g/day) and farmer and institutional acceptance of EMB’s were similar to published findings with other MNB’s, confirming all MNB’s and EMB’s improved animal productivity and body condition score, with healthier animals that were easier to manage. Modelling of changes in GHGe intensity identified an abatement of 470kg CO2e per EMB consumed, delivering a total project emissions abatement of 94t CO2e. Provision of MNBs and EMBs in smallholder large ruminant production systems is likely to achieve impressive abatement of GHGe due to improved efficiency of rumen fermentation and productivity.

Preprint ARTICLE | doi:10.20944/preprints202211.0404.v1

On the Thermodynamics of Fermions at any Temperature based on Parametrized Partition Function

Hongwei Xiong, Yunuo Xiong

Subject: Physical Sciences, Condensed Matter Physics Keywords: fermion sign problem; path integral molecular dynamics; path integral Monte Carlo; thermodynamic properties; large Fermi system; ground state

Online: 22 November 2022 (03:56:48 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202207.0396.v1

Asymmetry in Galaxy Spin Directions -- Analysis of Data from DES and Comparison to Four Other Sky Surveys

Lior Shamir

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Galaxies; Large-scale structure of Universe; Cosmic anisotropy

Online: 26 July 2022 (08:08:06 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202206.0379.v1

Porous TiO2/Carbon Dots Nanoflowers with Enhanced Surface Areas for Improving Photocatalytic Activity

Fengyan Song, Hao Sun, Hailong Ma, Hui Gao

Subject: Chemistry And Materials Science, Inorganic And Nuclear Chemistry Keywords: porous TiO2; hybrid TiO2/CDs; photocatalysts; photodegradation; large surface areas

Online: 28 June 2022 (06:02:11 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202204.0090.v1

IL-1R8 Downregulation and Concomitant TLR7 and TLR9 Up-Regulation Are Related to the Pathogenesis of Canine Diffuse Large B-Cell Lymphoma

Federica Riva, Joel Filipe, Antonella Fanelli, Laura Marconato, Alessia Inglesi, Eugenio Scanziani, Sabina Soldati, Luca Licenziato, Stefano Comazzi, Lucia Minoli, Luca Aresu

Subject: Medicine And Pharmacology, Veterinary Medicine Keywords: dog; diffuse large B-cell lymphoma; IL-1R8; TLR7; TLR9; qRT-PCR

Online: 11 April 2022 (09:15:27 CEST)

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/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)

Show abstract| Download PDF| Share

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/preprints202112.0376.v1

Large-Scale Printed Chinese Character Recognition for ID Cards Using Deep Learning and Few Samples Transfer Learning

Yi-Quan Li, Hao-Sen Chang, Daw-Tung Lin

Subject: Engineering, Electrical And Electronic Engineering Keywords: Large-Scale Image Classification; Printed Chinese Character Recognition; Data Synthesis; GoogLeNet-GAP; Transfer Learning

Online: 22 December 2021 (16:31:53 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202112.0165.v1

One-Point Statistics Matter in Extended Cosmologies

Alex Gough, Cora Uhlemann

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: cosmology; theory; large scale structure of the Universe; analytical methods

Online: 10 December 2021 (07:31:46 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202110.0457.v1

Generic Framework for the Optimal Implementation of Flexibility Mechanisms in Large-Scale Smart Grids

Alejandro J. del Real, Andrés Pastor, Jaime Durán

Subject: Engineering, Control And Systems Engineering Keywords: large-scale systems; aggregated constraints; aggregated terms; flexibility mechanisms; control algorithm; Model Predictive Control; Centralised MPC; Decentralised MPC; state-space model

Online: 29 October 2021 (14:33:50 CEST)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Share

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)

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/preprints202108.0021.v1

A Note on Stokes Approximations to Leray Solutions of the Incompressible Navier-Stokes Equations in Rn

Joyce Cristina Rigelo, Janaina Pires Zingano, Paulo Ricardo Zingano

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Navier-Stokes equations, Stokes flows, Leray solutions, large time behavior

Online: 2 August 2021 (11:47:33 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 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/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)

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

Preprint REVIEW | doi:10.20944/preprints202106.0266.v1

Adaptive Wavelet Methods for Earth Systems Modelling

Nicholas Kevlahan

Subject: Computer Science And Mathematics, Mathematics Keywords: daptive mesh refinement; adaptive numerical methods; atmosphere modelling; climate modelling; Earth systems models; large-eddy simulation; ocean modelling; wavelets

Online: 9 June 2021 (12:18:45 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/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)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Supplementary Files| Share

Preprint REVIEW | doi:10.20944/preprints202104.0669.v1

The Possibility of a High-efficiency Wave Power Generation System using Dielectric Elastomers

Seiki Chiba, Mikio Waki, Changqing Jiang, Makoto Takeshita, Mitsugu Uejima, Kohei Arakawa, Kazuhiro Ohyama

Subject: Engineering, Automotive Engineering Keywords: dielectric elastomer; generation; carbon dioxide free; rare earths free; high efficiency; CNT; high power; artificial muscle; actuator; large deformation

Online: 26 April 2021 (13:09:45 CEST)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Large Deviations and Information theory for Sub-Critical SINR Randon Network Models

Enoch Sakyi-Yeboah, Pepertual Saah Andam, Louis Asiedu, Kwabena Doku-Amponsah

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: Large deviation principle; Sub-critical SINR random network model; Poisson point process; Empirical power measure; Empirical connectivity measure; Relative entropy; Kullback action

Online: 13 April 2021 (09:17:54 CEST)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Our Peculiar Motion Inferred from Number Counts of Mid Infra Red AGNs and the Discordance Seen with the Cosmological Principle

Ashok K. Singal

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: active galactic nuclei surveys; cosmic background radiation; large-scale structure of universe; solar system peculiar motion; cosmological principle

Online: 22 March 2021 (11:58:59 CET)

Show abstract| Download PDF| Share

According to the Cosmological Principle the Universe is isotropic and no preferred direction would be seen by an observer that might be stationary with respect to the expanding cosmic fluid. However, because of observer’s partaking in the solar system peculiar motion, there would appear in some of the observed properties of the Cosmos a dipole anisotropy, which could in turn be exploited to determine the peculiar motion of the solar system. The dipole anisotropy in the Cosmic Microwave Background Radiation (CMBR) has given a peculiar velocity vector 370 km s−1 along l=264∘,b=48∘. However, some other dipoles, for instance, from the number counts, sky brightness or redshift distributions in large samples of distant Active Galactic Nuclei (AGNs), have yielded values of the peculiar velocity many times larger than that from the CMBR, though surprisingly, in all cases the directions agreed with the CMBR dipole. Here we determine our peculiar motion from a sample of 0.28 million AGNs, selected from the Mid Infra Red Active Galactic Nuclei (MIRAGN) sample comprising more than a million sources. From this, we find a peculiar velocity, which is more than four times the CMBR value, although the direction seems to be within ∼2σ of the CMBR dipole. A genuine value of the solar peculiar velocity should be the same irrespective of the data or the technique employed to estimate it. Therefore, such discordant dipole amplitudes, might mean that the explanation for these dipoles, including that of the CMBR, might in fact be something else. But, the observed fact that the direction in all cases, is the same, though obtained from completely independent surveys using different instruments and techniques, by different sets of people employing different computing routines, might nonetheless indicate that these dipoles are not merely due to some systematics, otherwise why would they all be pointing along the same direction. It might instead suggest a preferred direction in the Universe, implying a genuine anisotropy, which would violate the Cosmological Principle, the core of the modern cosmology.

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)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Supplementary Files| 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 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)

Show abstract| Download PDF| Share

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)

Show abstract| Download PDF| Supplementary Files| 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/preprints202011.0608.v1

The Impact of Utility-Scale Photovoltaics Plant on Near Surface Turbulence Characteristics in the Barren Areas

Junxia Jiang, Xiaoqing Gao, Chen Bolong

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: large-scale photovoltaic plants; M-O similarity theory; roughness; stability; turbulence intensity

Online: 24 November 2020 (09:46:14 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202011.0520.v1

Are Cosmic Isotropy Limits from Analyses of the Cosmic Microwave Background Credible?

Michael J. Longo

Subject: Physical Sciences, Acoustics Keywords: Large-scale structure of Universe; cosmic background radiation; cosmology; early Universe

Online: 19 November 2020 (20:45:43 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202011.0403.v1

The Corporate Social Responsibility (CSR) in the Travel Supply Chain: A Literature Review

Eneko Ibarnia, Lluís Garay, Antonio Guevara

Subject: Social Sciences, Tourism, Leisure, Sport And Hospitality Keywords: Corporate Social Responsibility; Sustainability; Travel Supply Chain; Tourism Intermediaries; SME; Large Corporations; Motivations

Online: 16 November 2020 (08:59:03 CET)

Show abstract| Download PDF| Share

Preprint HYPOTHESIS | doi:10.20944/preprints202008.0607.v2

On Catalysis by Biological Macromolecular Enzymes

Jianshu Dong

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: catalysis; kinetics; time; biological macromolecular enzyme; large biological macro-substrate; catalytic step; catalytic efficiency; turnover number

Online: 16 November 2020 (08:28:55 CET)

Show abstract| Download PDF| Supplementary Files| Share

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)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202011.0300.v1

Day-ahead Market Modelling of Large-scale Highly-renewable Multi-energy Systems: Analysis of the North Sea Region Towards 2050

Juan Gea Bermúdez, Kaushik Das, Hardi Koduvere, Matti Juhani Koivisto

Subject: Engineering, Automotive Engineering Keywords: Energy System; Large Scale; Day Ahead Market; Operational Planning; Unit Commitment

Online: 10 November 2020 (10:34:00 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202011.0291.v1

Large Day-to-Day Changes in Extreme Temperature in Poland and Atmospheric Circulation

Katarzyna Szyga-Pluta

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: temperature extremes; day-to-day variability; large changes; circulation types; Grosswetterlagen; Poland

Online: 10 November 2020 (08:59:40 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/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 REVIEW | doi:10.20944/preprints202010.0250.v1

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

Rodrigo Cofré, Cesar Maldonado, Bruno Cessac

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Thermodynamic formalism; neuronal networks dynamics; maximum entropy principle; free energy and pressure; linear response; large deviations, ergodic theory

Online: 12 October 2020 (15:28:38 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 ARTICLE | doi:10.20944/preprints202009.0418.v1

Scale-up of Physics-based Models for Predicting Degradation of Large Lithium Ion Batteries

Hong-Keun Kim, Kyu-Jin Lee

Subject: Engineering, Automotive Engineering Keywords: large sized lithium-ion battery; physic-based model; life prediction; scale-up model; reduced order cell model; electric vehicles

Online: 18 September 2020 (04:29:49 CEST)

Show abstract| Download PDF| Share

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 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)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Reassessing Dust's Role in Forming the CMB

Fulvio Melia

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: cosmic microwave background; cosmological parameters; cosmology: observations; cosmology: redshift; cosmology: theory; large-scale structure

Online: 14 June 2020 (16:16:26 CEST)

Show abstract| Download PDF| Share

Preprint ESSAY | doi:10.20944/preprints202005.0320.v1

Huge Filaments as Regions of Space-Time Deformation

Irina Rozgacheva

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: cosmology; large scale structure; huge filaments; space-time deformation

Online: 20 May 2020 (06:52:32 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/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.

Preprint ARTICLE | doi:10.20944/preprints202004.0198.v1

Modelling and Simulation of the Hydrodynamics and Mixing Profiles in the Human Proximal Colon Using Discrete Multiphysics

Michael Schütt, Konstantinos Stamatopoulos, Mark Simmons, Hannah Batchelor, Alessio Alexiadis

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: mathematical modelling; peristalsis; smoothed particle hydrodynamics (SPH); fluid dynamics; large intestine; colonl proximal colon; fluid-structure interactions; drug delivery

Online: 12 April 2020 (15:57:17 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/preprints202002.0455.v1

Effects of Transverse Groynes on Meso-Habitat Suitability for Native Fish Species on a Regulated By-Passed Large River

Valentin Chardon, Laurent Schmitt, Hervé Piégay, Jean-Nicolas Beisel, Cybill Staentzel, Agnès Barillier, Anne Clutier

Subject: Environmental And Earth Sciences, Environmental Science Keywords: river restoration; large rivers; transverse groynes; geomorphic monitoring; riverscape approach; fish habitat models

Online: 29 February 2020 (08:48:37 CET)

Show abstract| Download PDF| Share

River regulations ultimately degrade fluvial forms and morphodynamics and simplify riparian and aquatic habitats. For several decades, river restoration actions have been performed to recover geomorphic processes and diversify these habitats to enhance both river biodiversity and ecosystem services. The objective of this study is to provide quantitative feedback on the experimental restoration of a large regulated and by-passed river (the Upper Rhine downstream of the Kembs Dam, France/Germany). This restoration consisted of the construction of two transverse groynes and the removal of bank protection. A monitoring framework composed of topo-bathymetric surveys as well as flow velocity and grain size measurements was established to assess the channel morphodynamic responses and evaluate their effects on habitat suitability for five native fish species using habitat models. A riverscape approach was used to evaluate the landscape changes in terms of both the configuration and the composition, which cannot be considered with classic approaches (e.g., WUA). Our results show that the two transverse groynes and, to a lesser extent, bank erosion, which was locally enhanced by the two groynes, increased habitat diversity due to the creation of new macroforms (e.g., pools and mid-bars) and fining of the bed grain size. Using a riverscape approach, our findings highlight that the restoration improved lentic fish habitats (eel and juvenile nase species) due to slowing of the local current and the deposition of fine sediments downstream of both groynes. As a consequence, the restoration improved the habitat suitability of the studied reach for more fish species compared with the pre-restoration conditions. This study also demonstrates that the salmon habitats downstream of the restored reach were improved due to fining of the bed grain size. This finding highlights that for restorations aimed at fish habitats, the grain size conditions must be taken into consideration along with the flow conditions. Furthermore, the implementation of groynes, while not a panacea, can be a strategy for improving fish habitats on highly regulated rivers, but only when more functional and natural options are impossible due to major constraints.

Working Paper ARTICLE

Analysis of Random Scheduling Policy of Multi-Server Parallel System with Redundancy: Quality of Exponent

Jixiang Zhang

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: probability exponent; multi-server parallel system; discrete time model; arrangement of multiple sets; large deviation theory

Online: 26 December 2019 (10:51:23 CET)

Show abstract| Download PDF| Share

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)

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

Search Results

238 articles found