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Preprint ARTICLE | doi:10.20944/preprints202305.1492.v1

Enhancing Industrial Cyber Security, Focusing on Formulating a Practical Strategy for Making Predictions Through Machine Learning Tools in Cloud Computing Environment

Zaheer Abbas, Seunghwan Myeong

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Cloud security; Cloud computing; machine learning; industrial cyber security

Online: 22 May 2023 (09:57:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0029.v1

Systems Dynamics and the Analytical Network Process as A methodology for the Evaluation and Prioritization of Green Projects: A New Proposal that Involves Participative Integration

Julian Andres Castrillon-Gomez, Gerard Olivar-Tost, Johnny Valencia-Calvo

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: community participation; Systems Dynamics Model; sustainable development; multi-criteria deci-sion-making (MCDM); analytic network process (ANP)

Online: 4 July 2022 (04:22:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201912.0286.v1

Use of a Hydroalcoholic Extract of Moringa oleifera Leaves for the Green Synthesis of Bismuth Nanoparticles and Evaluation of Their Anti-Microbial and Antioxidant Activities

Prince Edwin Das, Amin F. Majdalawieh, Imad A. Abu-Yousef, Srinivasan Narasimhan, Palmiro Poltronieri

Subject: Chemistry And Materials Science, Biomaterials Keywords: Moringa oleifera; bismuth nanoparticles; polyphenolics; anti-bacterial; anti-fungal; antioxidant

Online: 21 December 2019 (12:28:21 CET)

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The use of plant extracts in the synthesis of metal nanoparticles is a very attractive approach in the field of green synthesis. To benefit from the potential synergy between the biological activities of the Moringa oleifera leaves extract and metallic bismuth, our study aimed at synthesizing bismuth nanoparticles using a hydroalcoholic extract of M. oleifera leaves as a means of green synthesis that yields nontoxic products and reduces the production of wasteful material. To this end, the M. oleifera leaves extract was treated with a bismuth nitrate pentahydrate solution. A color change from light brown to dark brown indicates the synthesis of bismuth nanoparticles. The total phenolic content in the M. oleifera leaves extract used was 23.0 ± 0.3 mg gallic acid equivalent/g of dried M. oleifera leaves powder. Antioxidant property of MO synthesised bismuth Nanoparticles was evaluated and in line with the extract used in the synthesis of NPs. The physical properties of the synthesized bismuth nanoparticles were characterized using UV-Vis spectrophotometer, FT-IR spectrometer, TEM, SEM, and XRD. The synthesized bismuth nanoparticles have a size in the range of 40.4-57.8 nm with amorphous morphology. Using DPPH and phosphomolybdate assays, our findings revealed that the M. oleifera leaves extract and the synthesized bismuth nanoparticles possess antioxidant properties. Using resazurin microtiter assay, we also demonstrate that the M. oleifera leaves extract and the synthesized bismuth nanoparticles exert potent anti-bacterial activity against Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus and Enterococcus faecalis, similarly to the inhibition exerted by Moringa extract, especially against Enterococcus faecalis (MIC values for the extract: 500, 250, 250, and 250 µg/mL; MIC values for the bismuth nanoparticles: 500, 500, 500, and 250 µg/mL, respectively). Similarly, the M. oleifera leaves extract and the synthesized bismuth nanoparticles display relatively stronger anti-fungal activity against Aspergillus niger, Aspergillus flavus, Candida albicans, and Candida glabrata (MIC values for the extract: 62.5, 62.5, 125, and 250 µg/mL; MIC values for the bismuth nanoparticles: 250, 250, 62.5, and 62.5 µg/mL, respectively). Thus, the hydroalcoholic extract of M. oleifera leaves was successfully used in the synthesis of bismuth nanoparticles, showing a positive antioxidant, anti-bacterial, and anti-fungal activity. Therefore, the synthesized bismuth nanoparticles can potentially be employed in the alleviation of symptoms associated with oxidative stress and in the topic treatment of Candida infections.

Preprint ARTICLE | doi:10.20944/preprints202409.1262.v1

Stochastic Parameterization of Moist Physics Using Probabilistic Diffusion Model

Le-Yi Wang, Yiming Wang, Xiaoyu Hu, Hui Wang, Ruilin Zhou

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: convection parameterization; diffusion model; generative model; machine learning

Online: 16 September 2024 (16:48:27 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202312.2122.v2

Continuum Limit of the Green Function in Scaled Affine φ⁴ ₄ Quantum Euclidean Covariant Relativistic Field Theory

Riccardo Fantoni

Subject: Physical Sciences, Theoretical Physics Keywords: Field theory; affine quantization; continuum limit; Green function

Online: 28 December 2023 (15:23:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.2141.v1

Use of Drought-Resistant Vegetation on Green Roofs: A Method for Digital Photographic Monitoring of Its Development

Madalena Rodrigues, Pedro Miguel Ramos Arsénio, Teresa Afonso do Paço

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: native plants; digital image analysis; population preferences; ImageJ

Online: 28 December 2023 (04:33:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.1408.v1

Enhancing Intersection Efficiency through Smart Green Time Allocation at a Signalized Intersection Equipped with Two LiDAR Sensors

Alireza Ansariyar

Subject: Engineering, Transportation Science And Technology Keywords: LiDAR sensor technology; signalized intersections; green time allocation; delay time; vehicle volume

Online: 23 October 2023 (10:21:44 CEST)

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Traffic signal control plays a key role in managing urban traffic flow, enhancing safety, and minimizing congestion and conflicts. Effective green time allocation is a critical element of this control process. This research explores the utilization of LiDAR sensor technology in the optimization of green time allocation for one phase of a traffic signal at a signalized intersection. LiDAR sensors provide precise and real-time data on vehicle presence and traffic patterns, enabling a data-driven approach to traffic signal control. The study begins with an analysis of the limitations of traditional traffic signal control strategies, which often rely on fixed-time plans or rudimentary vehicle detection systems. These approaches can lead to suboptimal green time allocation, resulting in inefficient traffic management and increased vehicle delays.The integration of LiDAR sensors provides detailed information on vehicle queues, arrival rates, and vehicle types. The research presents a practical framework for green time allocation optimization, considering factors such as intersection geometry, traffic volumes, and signal coordination. An intelligent control algorithm was developed that uses LiDAR data to determine the optimal green time for a specific phase, thereby reducing unnecessary waiting times and enhancing intersection efficiency. The effectiveness of the proposed LiDAR-based green time allocation strategy is demonstrated through extensive field tests. The results indicate significant improvements in intersection throughput, reduced delays, and enhanced traffic safety. In conclusion, this research highlights the transformative potential of LiDAR sensor technology in traffic signal control, specifically in the context of optimizing green time allocation. The findings support the notion that adaptive and data-driven strategies, when integrated with LiDAR sensors, can contribute to more efficient, sustainable, and safe urban traffic management. This research aims to provide valuable insights for transportation engineers, policymakers, and researchers seeking innovative solutions for modern urban traffic control.

Preprint ARTICLE | doi:10.20944/preprints202306.0568.v1

Oil Extraction From Spent Coffee Grounds As Green Corrosion Inhibitor for Copper in 3 wt% NaCl Solution

Ghada ROUIN, Makki ABDELMOULEH, Abdulrahman MALLAH, Mohamed MASMOUDI

Subject: Chemistry And Materials Science, Electrochemistry Keywords: Corrosion; copper; spent coffee grounds; voltammetry around OCP; EIS

Online: 8 June 2023 (02:25:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0224.v1

Predicting the Compressive Strength of Green Concrete at Various Temperature Ranges Using Different Efficient Soft Computing Techniques

Ahmad Khalil Mohammed, Aram Hassan, Ahmed Salih Mohammed

Subject: Engineering, Civil Engineering Keywords: sustainability; concrete; ground granulated blast furnace slag (GGBFS); compressive strength; statistical analysis; modeling

Online: 5 June 2023 (02:34:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0169.v1

Time to Move From Accounting to Decision Support? Considerations for Improved Emission Disclosure Enhancing the Green Transition

Thomas Daae Stridsland, Søren Løkke, Hans Sanderson

Subject: Environmental And Earth Sciences, Environmental Science Keywords: climate change mitigation and adaptation; economic structures; inequality; driving forces; consequential attributional; transitional risk; scope 3

Online: 9 February 2023 (14:44:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0417.v1

Towards a ‘City in Nature’: Evaluating the Cultural Ecosystem Services Approach to Support Urban Green Space Management

Yi Fan Koh, Ho Huu Loc, Edward Park

Subject: Environmental And Earth Sciences, Ecology Keywords: Cultural ecosystem services; urban green space management; Singapore; public participation geographic information system; social media text mining analysis

Online: 27 December 2021 (09:48:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0263.v1

Green Consciousness as a Determinant of Organic Food Purchase Intention: Evidences from a Case Study in Italy

Matteo Carzedda, Gianluigi Gallenti, Marta Cosmina, Federico Nassivera

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Theory of Planned Behavior; organic food; green consciousness; purchasing behavior Structural Equation Modelling

Online: 12 May 2021 (10:45:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0482.v1

Green Synthesis of Ag Nanoparticles Using Grape Stalk Waste Extract for the Modification of Screen-Printed Electrodes

Julio Bastos-Arrieta, Antonio Florido, Clara Pérez-Ràfols, Núria Serrano, Núria Fiol, Jordi Poch, Isabel Villaescusa

Subject: Chemistry And Materials Science, Surfaces, Coatings And Films Keywords: silver nanoparticles; screen printed electrodes; grape stalk; green synthesis; voltammetry; metal analysis

Online: 22 October 2018 (08:37:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0123.v1

Chitosan Decorated Copper Nanoparticles as Efficient Catalyst for One-Pot Multicomponent Green Synthesis of Novel Quinoline Derivatives

Kahdijah S. Alghamdi, Nesreen S.I. Ahmed, D. Bakhotmah, Mohamed Mokhtar

Subject: Chemistry And Materials Science, Organic Chemistry Keywords: chitosan-copper NPs; quinolone derivatives; ultrasonic irradiation; one- pot synthesis; green-sustainable perspectives

Online: 8 October 2018 (04:32:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201809.0013.v1

Are Green Infrastructure Strategies Suitable in Arid Climates? A Design Feasibility Study from Jeddah City, Saudi Arabia

Abdulmueen Bogis, Dean Bork, Patrick Miller

Subject: Arts And Humanities, Architecture Keywords: green infrastructure; riparian restoration; green corridor; drainageway; urban valley; stormwater management; flooding; arid landscape; sustainability; urban ecosystem

Online: 3 September 2018 (07:57:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0216.v1

Developing Green Super Rice Varieties with High Nutrient Use Efficiency by Phenotypic Selection Under Varied Nutrient Conditions

Zilhas Jewel, Jauhar Ali, Yunlong Pang, Mahender Anumalla, Bart Acero, Jose Hernandez, Jianlong Xu, Zhikang Li

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: nutrient use efficiency; grain yield; nitrogen, phosphorus; potassium; green super rice; BC breeding

Online: 12 July 2018 (11:05:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0284.v2

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

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

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

Online: 30 September 2024 (04:15:01 CEST)

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

Preprint REVIEW | doi:10.20944/preprints201609.0092.v1

A Review of PMMA Bone Cement and Intra-Cardiac Embolism

Puneeth Shridhar, Yanfei Chen, Ramzi Khalil, Anton Plakseyhuk, Sung Kwon Cho, Bryan Tillman, Prashant N. Kumta, Youngjae Chun

Subject: Chemistry And Materials Science, Biomaterials Keywords: PMMA; bone cement; cardiac embolism; cement leakage; viscosity

Online: 26 September 2016 (10:34:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0703.v1

Analyzing Managerial Skills for Employability in Graduate Students in Economics, Administration and Accounting Sciences

Patricia Andino-González, Alejandro Vega-Muñoz, Guido Salazar-Sepúlveda

Subject: Business, Economics And Management, Human Resources And Organizations Keywords: Higher Education; Employability; Management Training; Skills; Skills Measurement; Human Talent

Online: 9 July 2024 (07:00:29 CEST)

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Preprint REVIEW | doi:10.20944/preprints202407.2111.v1

Relevance of Diet in Schizophrenia: Focusing on Prenatal Nutritional Deficiency, Obesity, Oxidative Stress and Inflammation

Amalia Vasile, Viorica Rarinca, Vasile Burlui, Gabriela Halitchi, Alin Ciobică, Ana-Maria Singeap, Romeo Dobrin, Ecaterina Burlui, Anca Trifan

Subject: Biology And Life Sciences, Endocrinology And Metabolism Keywords: Schizophrenia; Diet; Nutrients; Obesity; Oxidative Stress; Inflammation; Antioxidants

Online: 26 July 2024 (11:30:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202410.0198.v1

Survey of Security and Data Attacks on Machine Unlearning In Financial and E-Commerce

Carl Brodzinski

Subject: Computer Science And Mathematics, Computer Science Keywords: Machine Unlearning; Convex Function; Graph Neural Network; Differential privacy; Robust cryptographic mechanisms

Online: 3 October 2024 (08:22:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0129.v2

DIKW as a General and Digital Twin Action Framework: Data, Information, Knowledge, and Wisdom

Michael Grieves

Subject: Computer Science And Mathematics, Information Systems Keywords: Data; Information; Knowledge; Wisdom; DIKW; Digital Twins; Intelligent Digital Twins; IDT

Online: 4 March 2024 (09:57:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0957.v1

Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data

Styliani I. Kampezidou, Archana Tikayat Ray, Anirudh Prabhakara Bhat, Olivia J. Pinon Fischer, Dimitri N. Mavris

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine learning workflow; Supervised learning; Numerical data; Categorical data; Data engineering; Extraction, loading, transformation; Feature engineering; Automated feature extraction; Machine learning engineering; Training, validation, evaluation; Test-driven development; Automated machine learning; Model deployment

Online: 13 December 2023 (08:00:49 CET)

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Preprint REVIEW | doi:10.20944/preprints202209.0032.v1

Machine Learning for Intelligent Data Analysis and Automation in Cybersecurity: Current and Future Prospects

Iqbal H. Sarker

Subject: Computer Science And Mathematics, Security Systems Keywords: cybersecurity; machine learning; deep learning; artificial intelligence; data-driven decision making; automation; cyber analytics; intelligent systems;

Online: 2 September 2022 (03:32:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0491.v5

Models That Link and Suggest Data about Elementary Particles, Dark Matter, and the Cosmos

Thomas J. Buckholtz

Subject: Physical Sciences, Space Science Keywords: Beyond the Standard Model; Dark matter; Evolution of the universe; Cosmological tensions; Galaxy formation; Cosmic inflation; Neutrino masses

Online: 28 February 2022 (10:48:58 CET)

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Preprint REVIEW | doi:10.20944/preprints202112.0035.v1

Operations Research and Cost-Effective Spatial Conservation Planning: Data, Models, Tools and Future Directions

Diogo Alagador, Jorge O. Cerdeira

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: Climate change; Ecological dynamics; Mathematical programming; Optimization; Spatial analysis; Systematic Conservation Planning

Online: 2 December 2021 (11:59:43 CET)

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Preprint ARTICLE | doi:10.3390/sci2040080

Urban Sprawl and Growth Prediction for Lagos Using GlobeLand30 Data and Cellular Automata Model

Olalekan O. Onilude, Eric Vaz

Subject: Social Sciences, Urban Studies And Planning Keywords: urban sprawl; GlobeLand30; LULC change; remote sensing; cellular automata; Markov chain; growth prediction; Lagos

Online: 22 October 2020 (00:00:00 CEST)

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Working Paper ARTICLE

Knowledge and Data Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI

Alessia Goffi, Gloria Bordogna, Daniela Stroppiana, Mirco Boschetti, Pietro Alessandro Brivio

Subject: Computer Science And Mathematics, Computer Science Keywords: soft constraints; Ordered Weighted Averaging Operators; Volunteered Geographic Information; standing water area mapping; decision attitude modeling

Online: 29 December 2019 (08:24:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.0309.v1

Comparative Genomic Analysis and Phenotypic Characterization of Saccharomyces cerevisiae Strains used in Sugarcane-based Fermentation Processes to Improve Sucrose Fermentation by an Industrial Fuel-ethanol Yeast Strain

Gabriela Muller, Victor R. De Godoy, Marcelo G. Dário, Eduarda H. Duval, Sergio L. Alves-Jr, Augusto Bücker, Carlos A. Rosa, Barbara Dunn, Gavin Sherlock, Boris U. Stambuk

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: bioethanol; cachaça; sucrose; invertase; thiamin; Saccharomyces cerevisiae

Online: 6 July 2023 (02:17:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1846.v1

Class Incremental Learning for Financial Data Streams and Two Classes of Methodologies

Larry Milner

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Class-incremental Learning; Financial Learning; Machine Learning; Optimization

Online: 24 September 2024 (11:51:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202409.1428.v1

What Clinicians Should Tell Their Patients about Wearable Devices and Data Privacy

Joseph V. Pergolizzi, Jo Ann LeQuang, Salah El-Tallawy, Giustino Varrassi

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Healthcare; Wearable medical devices; people-generated health data (PGHD); Privacy; AI

Online: 19 September 2024 (03:40:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0662.v2

Integrated Optimization of Large Language Models: Synergizing Data Utilization and Compression Techniques

Xinjin Li, Yu Ma, Yangchen Huang, Xingqi Wang, Yuzhen Lin, Chenxi Zhang

Subject: Computer Science And Mathematics, Computer Science Keywords: Natural Language Processing (NLP); Large Language Models (LLMs); Data Utilization; Model Compression; Knowledge Distillation

Online: 10 September 2024 (14:16:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0751.v1

Regulation Practice and Prospect of Privacy Protection of Data Flows in China

Liping Yang, Yiling Lin, Bing Chen

Subject: Social Sciences, Law Keywords: data flows; privacy protection; legislative framework; judicial practice; technical measures

Online: 10 September 2024 (09:00:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0536.v1

Estimating Carbon Stock in Unmanaged Forests Using Field Data and Remote Sensing

Thomas Leditznig, Hermann Klug

Subject: Environmental And Earth Sciences, Environmental Science Keywords: UAV; Sentinel-2; RGB imagery; NDVI; random forest; carbon storage capacity; near-natural forest; wilderness area; Austria

Online: 6 September 2024 (12:07:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1948.v1

Prognostication in Epilepsy with Integrated Analysis of Blood Parameters and Clinical Data

Kyung-Il Park, Sungeun Hwang, Hyoshin Son, Jangsup Moon, Soon-Tae Lee, Keun-Hwa Jung, Ki-Young Jung, Kon Chu, Sang Kun Lee

Subject: Biology And Life Sciences, Neuroscience And Neurology Keywords: epilepsy; outcome; prediction; blood

Online: 27 August 2024 (18:35:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202406.0697.v2

Stellar Flares, Superflares and Coronal Mass Ejections – Entering the Big Data Era

Krisztián Vida, Zsolt Kővári, Martin Leitzinger, Petra Odert, Katalin Oláh, Bálint Seli, Levente Kriskovics, Robert Greimel, Anna Mária Görgei

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: late-type stars; stellar magnetic activity; starspots; stellar flares; superflares; stellar coronal mass ejections

Online: 24 July 2024 (07:29:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1988.v1

Privacy Preserving Human Mobility Generation using Grid based Data and Graph Autoencoders

Fabian Netzler, Markus Lienkamp

Subject: Social Sciences, Transportation Keywords: Mobility Data; Synthetic Data Generation; Mobility Data Analytics

Online: 30 May 2024 (12:02:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0459.v1

Optimizing Education with Data Analytics: A Feature Comparison of LMS and SIS

Jose Antonio Lagares Rodríguez, Norberto Díaz Díaz, Carlos David Barranco González

Subject: Computer Science And Mathematics, Information Systems Keywords: Adaptive learning; Data Analytics (DA); Education challenges; Learning Analytics; Learning Management Systems (LMS); Learning patterns; Personalised learning; Student performance; Student Engagement; Student Information Systems (SIS)

Online: 8 May 2024 (15:13:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1894.v1

Design and Implementation of AI-Based Judicial Big Data Intelligent Service Platform

Zhangsheng Sun, Wenhao Li, Mengru Yu, Xiaohan Yang, Muqayam Nurmaithi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: artificial intelligence technology; judicial services; big data analysis; model optimization

Online: 29 April 2024 (09:58:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1685.v1

Monitoring Kingfisher Breeding Phases by Using Temperature Data Loggers: Benefits and Limitations

Alena Hadravová, Lubomír Peške, Martin Čech

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: chicks feeding; common kingfisher Alcedo atthis; egg laying; hatching; incubation; fledging; nest chamber

Online: 27 March 2024 (16:19:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0858.v6

Detecting CSV File Dialects by Table Uniformity Measurement and Data Type Inference

Wilfredo García

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: comma separated values; CSV dialect detection; data mining

Online: 18 March 2024 (07:25:57 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.1975.v1

ARDS Mortality Prediction Model Using Evolving Clinical Data and Chest Radiograph Analysis

Ana Cysneiros, Tiago Galvão, Nuno Domingues, Pedro Jorge, Luis Bento, Ignacio Martin-Loeches

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: ARDS; imaging

Online: 29 January 2024 (04:44:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202309.1910.v1

A Scalable Data Structure for Efficient Graph Analytics and In-Place Mutations

Soukaina Firmli, Dalila Chiadmi

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: Data Structures; Concurrency; Graph Processing; Graph Mutations

Online: 27 September 2023 (15:10:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.0333.v1

Brain Inspired Spatio-Temporal Associative Memories for Neuroimaging Data: EEG and fMRI

Nikola K. Kasabov, Helena Bahrami, Maryam Doborjeh, Alan Wang

Subject: Engineering, Bioengineering Keywords: spatio-temporal associative memory; STAM; neuroimaging data; spiking neural networks; NeuCube; EEG; fMRI; neuroimage classification

Online: 3 August 2023 (10:46:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.1082.v1

Improved Sea Ice Image Segmentation using U²-Net and Data Set Augmentation

Yongjian Li, He Li, Dazhao Fan, Zhixin Li, Song Ji

Subject: Engineering, Other Keywords: sea ice segmentation; U2-Net; remote sensing images

Online: 17 July 2023 (08:46:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1652.v1

Evaluating Urban Solar Potential and BEV Charge Cycle Using Real-Data Techniques

Steve Zerafa, Brian Azzopardi, Craig Mifsud

Subject: Engineering, Energy And Fuel Technology Keywords: Drones; Photovoltaics; Electric Mobility; Solar Energy; Spatial analysis

Online: 23 May 2023 (11:11:08 CEST)

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Preprint REVIEW | doi:10.20944/preprints202303.0480.v1

Technologies and Data Analytics to Manage Grain Quality On-Farm: A Review

Cassandra Kiely Walker, Sahand Assadzadeh, Ashley Wallace, Audrey J Delahunty, Alexander Clancy, Linda McDonald, Glenn J Fitzgerald, James G Nuttall, Joe Panozzo

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: In-field; Spectroscopy; Image analysis; Machine Learning; Protein; Grain size.; Grain colour

Online: 28 March 2023 (09:39:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0276.v1

Towards Interpretable Camera and LiDAR data fusion for Unmanned Autonomous Vehicles Localisation

Haileleol Tibebu, Varuna De-Silva, Corentin Artaud, Rafael Pina, Xiyu Shi

Subject: Computer Science And Mathematics, Computer Science Keywords: Sensor fusion; Camera and LiDAR fusion; Odometry; Explainable AI

Online: 19 September 2022 (10:27:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0306.v1

Social Network Analysis of Twitter Data Related to Blood Clots and Vaccines

Wasim Ahmed, Josep Vidal-Alaball, Josep M. Vilaseca

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: COVID-19; Twitter; Blood Clots; Social Media; Clots

Online: 24 February 2022 (09:35:35 CET)

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Preprint REVIEW | doi:10.20944/preprints202201.0407.v1

Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications

Se Yoon Lee

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Bayesian nonlinear hierarchical model; Bayesian nonlinear mixed effects models; Inter-individual variation; Intra-individual variation; Markov chain Monte Carlo technique

Online: 27 January 2022 (04:55:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints202111.0410.v1

Design and Implementation of Efficient Transmission of Cloud Data in Wireless Media

Virendra Pandharipant Nikam, Sheetal S Dhande

Subject: Engineering, Control And Systems Engineering Keywords: Data compression; data hiding; psnr; mse; virtual data; public cloud; quantization error

Online: 22 November 2021 (15:17:12 CET)

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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202108.0295.v3

Sustainable Building Plan-Design, Construction, Performance, and Renovation Criteria

Puthearath Chan, Khemony Khoeng, Hang Kheang Ung, Teksim Tang, Kimsong Eung, Suysoklin Uth, Sovanrany Meng, Leng Sun, Sereyphut Em, Hon Toum, Oudomkitya Phok, Ratha Sry, Limdavid Mok, Rothvisal Lo, Chanmakara Vat, Sunleng Phay, Otdom Hor, Chey Vithyea Cheath, Mengheang Lim, Pichbormey An, Mardy Sareun, Sothet Sot, Sievminh Va, Yiheang Chea, Molly Ratana Piseth

Subject: Engineering, Control And Systems Engineering Keywords: sustainability; sustainable building criteria; sustainable building planning and design; sustainable site selection; sustainable construction; performance and renovation criteria.

Online: 28 December 2021 (10:52:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0223.v1

Estimate e-Golf Battery State Using Diagnostic Data and a Digital Twin

Lukas Merkle, Michael Pöthig, Florian Schmid

Subject: Engineering, Automotive Engineering Keywords: UDS-Diagnosis; Battery Twin; Data Logger; SOH

Online: 12 January 2021 (14:26:14 CET)

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Working Paper REVIEW

Big Data and Artificial Intelligence (AI) are Poised to Transform Infertility Healthcare

Ines de Santiago, Lukasz Polanski

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: reproductive health; infertility; big data; Machine Learning; AI; Systems Biology

Online: 18 November 2020 (13:51:46 CET)

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Advances in machine learning (ML) and artificial intelligence (AI) are transforming the way we treat patients in ways not even imagined a few years ago. Cancer research is at the forefront of this movement. Infertility, though not a life-threatening condition, affects around 15% of couples trying for a pregnancy. Increasing availability of large datasets from various sources creates an opportunity to introduce ML and AI into infertility prevention and treatment. At present in the field of assisted reproduction, very little is done in order to prevent infertility from arising, with the main focus put on treatment when often advanced maternal age and low ovarian reserve make it very difficult to conceive. A shift from this disease-centric model to a health centric model in infertility is already taking place with more emphasis on the patient as an active participator in the process. Poor quality and incomplete data as well as biological variability remain the main limitations in the widespread and reliable implementation of AI in the field of reproductive medicine. That said, one of the areas where this technology managed to find a foothold is identification of developmentally competent embryos. More work is required however to learn about ways to improve natural conception, the detection and diagnosis of infertility, and improve assisted reproduction treatments (ART) and ultimately, develop clinically useful algorithms able to adjust treatment regimens in order to assure a successful outcome of either fertility preservation or infertility treatment. Progress in genomics, digital technologies and advances in integrative biology has had a tremendousimpact on research and clinical medicine. With the rise of ‘big data’, artificial intelligence, and the advances in molecular profiling, there is an enormous potential to transform not only scientific research progress, but also clinical decision making towards predictive, preventive, and personalized medicine. In the field of reproductive health, there is now an exciting opportunity to leverage these technologies and develop more sophisticated approaches to diagnose and treat infertility disorders. In this review, we present a comprehensive analysis and interpretation of different innovation forces that are driving the emergence of a system approach to the infertility sector. Here we discuss recent influential work and explore the limitations of the use of Machine Learning models in this rapidly developing area.

Preprint TECHNICAL NOTE | doi:10.20944/preprints202011.0038.v1

Learning Dyadic Data and Predicting Unaccomplished Co-Occurrent Values by Mixture Model

Loc Nguyen

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: dyadic data; co-occurrence data; expectation maximization (EM) algorithm; mixture model

Online: 2 November 2020 (12:06:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202006.0258.v2

Data-Driven Solutions and Discoveries in Mechanics Using Physics Informed Neural Network

Qi Zhang, Yilin Chen, Ziyi Yang

Subject: Engineering, Civil Engineering Keywords: Conservation laws; Data inference; Data discovery; Dimensionless form; PINN

Online: 30 September 2020 (03:51:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0460.v1

Hybrid Data-Driven and Physics-Based Modelling for Gas-Turbine Prescriptive Analytics

Sergei Belov, Sergei Nikolaev, Ighor Uzhinsky

Subject: Engineering, Mechanical Engineering Keywords: hybrid modelling; prescriptive analytics; gas engine; machine learning

Online: 20 September 2020 (13:48:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0672.v1

Mathematical Connection Between Short Telomere Induced Senescence Calculation and Mortality Rate Data

Jerry B. Torrance, Steve Goldband

Subject: Biology And Life Sciences, Aging Keywords: aging; telomeres; senescence; mortality; disease

Online: 28 July 2020 (10:07:22 CEST)

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Working Paper ARTICLE

Evaluation and Analysis of Soil Temperature Data over Poyang Lake Basin, China

Mingjin Zhan, Lingjun Xia, Longfei Zhan, Yuanhao Wang

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: soil temperature; data evaluation; climatology; interannual variation; Poyang Lake Basin

Online: 24 February 2020 (01:38:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0108.v1

Machine Learning Algorithms for Visualization and Prediction Modeling of Boston Crime Data

Jiarui Yin, Inikuro Afa Michael, Iduabo John Afa

Subject: Computer Science And Mathematics, Information Systems Keywords: machine learning; decision tree; random forest; crime data analytics

Online: 9 February 2020 (16:02:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints201910.0241.v1

Coupled Stratospheric Chemistry-Meteorology Data Assimilation. Part II: Weak and Strong Coupling

Richard Ménard, Pierre Gauthier, Yves Rochon, Alain Robichaud, Jean de Grandpré, Yan Yang, Cécilien Charette, Simon Chabrillat

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: coupled chemistry-meteorology data assimilation; weak and strong data assimilation coupling; Canadian Quick Covariance method (CQC); assimilation of MIPAS temperature observations; ozone-temperature cross-covariance; tracer-wind 4D-Var assimilation

Online: 21 October 2019 (05:09:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0488.v1

Heartbeat Abnormality Detection using Machine Learning Models and Rate Variability (HRV) Data

Pratik Vyas, Diptangshu Pandit

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: heart rate variability; machine learning; abnormality detection; window shifting; high accuracy prediction

Online: 25 July 2018 (14:22:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0412.v1

Benchmarking Current Capabilities for the Generation of Excitation and Photoionisation Atomic Data

Catherine Ramsbottom, Connor Ballance, Ryan Smyth, Andrew Conroy, Luis Fernández-Menchero, Michael Turkington, Francis Keenan

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: R-matrix; atomic data; atomic processes; collisions; Fe-peak elements; electron-impact excitation; photoionization

Online: 26 June 2018 (11:41:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0366.v1

Using Objective Data Analysis to Construct and Evaluate NBA Players' Value Model

Che-Wei Chang

Subject: Business, Economics And Management, Human Resources And Organizations Keywords: NBA; player’s value; entropy; multi-attribute decision-making; player’s value matrix; value positioning model

Online: 25 May 2018 (12:00:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0177.v2

UAT ADS-B Data Anomalies and the Effect of Flight Parameters on Dropout Occurrences

Asma Tabassum, William Semke

Subject: Engineering, Control And Systems Engineering Keywords: UAT ADS-B; GDL-90; anomalies; drop out; Friedman test

Online: 29 May 2018 (10:56:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0104.v1

An Algorithm for Data Hiding in Radiographic Images and ePHI/R Application

Aqsa Rashid, Nadeem Salamat , V. B. Surya Prasath

Subject: Computer Science And Mathematics, Information Systems Keywords: information and communication technology; electronic health record (HER); entropy; region of interest; region of non-interest; telemedicine

Online: 11 January 2018 (18:26:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints201709.0033.v1

Red Algae Bloom Detection in Occhito Lake Combining MERIS and MODIS Data

Raffaella Matarrese, Nicolas Guyennon, Diego Copetti

Subject: Environmental And Earth Sciences, Environmental Science Keywords: P. rubescens algal bloom; remote sensing; MERIS; MODIS

Online: 10 September 2017 (07:36:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1834.v2

MDH2 Promotes Hepatocellular Carcinoma Growth through Ferroptosis Evasion via Stabilizing GPX4

Wenjia Yu, Yingping Li, Chengchang Gao, Donglin Li, Liangjie Chen, Bolei Dai, Haoying Yang, Linfen Han, Qinqin Deng, Xueli Bian

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: tumor progression; ferroptosis; MDH2; HCC

Online: 18 June 2024 (11:23:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1246.v1

Water-Bearing Complexes and Fault Breccia Aquifers of the Sanaga Valley Fault System: New Insight from Outcrops, Wells, and Geophysics Data

MBIDA YEM Lionel, RIBODETTI Alessandra, YÉNÉ ATANGANA Joseph Quentin Yene, LEBOURG Thomas, NDJIGUI Désiré, NDAM NJIKAM Mohamed Moustapha

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: Electrical resistivity tomography; Precambrian fault belt; Sanaga River Valley; low-grade metamorphic rocks; fault breccia aquifers

Online: 22 February 2024 (12:39:46 CET)

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Preprint REVIEW | doi:10.20944/preprints202205.0009.v1

Synergistic Effect of Biomass and Industrial Waste Reuse in Bio-Composite Construction Materials for Decreasing of Natural Resources Use and Mitigation the Environmental Impact of the Construction Industry. A Review.

Iwona Ryłko-Polak, Wojciech Komala, Andrzej Białowiec

Subject: Engineering, Chemical Engineering Keywords: mineral waste; bio-base waste; natural fiber; biomass; sulfur waste; copper flotation; fly ash; biochar; sustainable construction

Online: 4 May 2022 (13:12:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0307.v1

Bringing onco-innovation to Europe’s healthcare systems: the unexploited potential of biomarker testing, real world evidence and the potential of Tumour Agnostics. The lesson from BRCA1/2 genetic testing

Denis Horgan, Gennaro CILIBERTO, Pierfranco Conte, Giuseppe CURIGLIANO, Luis Seijo, Luis M. Montuenga, Luis Paz-Ares, Marina Chiara Garassino, Penault-Llorca Frederique, Fabrizia GALLI, Isabelle Ray-Coquard, Denis Querleu, David R. Baldwin, Susana Banerjee, Peter H.J. Riegman, Keith Kerr, Benjamin Horbach, Reinhard Büttner, Hendrik Van Poppel, Anders Bjartell, Giovanni Codacci-Pisanelli, Westphalen Christoph Benedikt, Fabien CALVO, Jasmina Koeva-Balabanova, Stephen Hall, Angelo Virgilio Paradiso, Dipak. Kalra, Christa M. Cobbaert, Rocio Varea Mendez, Zorana Maravic, Vassiliki Fotaki, Jaafar Bennouna, Estelle Cauchin, Núria Malats, Iñaki Gutiérrez-Ibarluzea, Benjamin Gannon, Ken Mastris, Chiara Benini, William M. Gallagher, Simonetta Buglioni, Alastair Kent, Elisabetta Munzone, Ivica Belina, Jan P. van Meerbeeck, Michael Joe Duffy, Elzbieta. Sarnowska, Beata Jagielska, Sarah Mee, Ettore Domenico Capoluongo

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: cancer biomarkers, BRCA1/2, genomics; European recommendation

Online: 14 August 2020 (04:27:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201902.0077.v1

Understanding the Double-Level Influence of Guanxi on Construction Innovation in China: The Mediating Role of Interpersonal Knowledge Sharing and the Cross-level Moderating Role of Inter-Organizational Relationships

Yingmiao Qian, Mengjun Wang, Yang Zou, Ruoyu Jin, Ruijia Yuan

Subject: Engineering, Civil Engineering Keywords: inter-personal relationships; construction innovation; knowledge sharing; inter-organizational relationships

Online: 8 February 2019 (09:20:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0275.v1

Optical Insight: Spectrophotometry as a Tool to Quantify Cell Density of Green Microalgae in Suspension, with Emphasis on Growing Conditions and Toxicological Evaluations

Jassiara da Silva Pessoa, Ana Claudia O. de Almeida, Lais F. dos Santos, Therezinha M. N. de Oliveira, César C. Martins, William Gerson Matias, Silvia P. Melegari

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Spectrophotometry; Desmodesmus subspicatus; Tetraselmis sp.; microalgal culture; optical density; optical microscope counting; toxicity test.

Online: 5 March 2024 (15:00:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0479.v1

The Effect of Brand Lovemark on Reusable Cups in Coffee Shops: Machine Use Intention, Willingness to Pay a Deposit, and Green Brand Loyalty

Yooin Noh, Min Jung Kim, Dae-Young Kim

Subject: Social Sciences, Tourism, Leisure, Sport And Hospitality Keywords: Brand lovemark; CSR practices; Green brand loyalty; Willingness to pay; Coffeeshop; Gender differences

Online: 5 January 2024 (12:15:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.1549.v1

Decoding Green Transition: Unraveling Behavioral Catalysts in the Adoption of Low-Carbon Transportation for Heavy-Duty Vehicles and Off-Road Equipment in California

Vuban Chowdhury, Farzana Mehzabin Tuli, Suman Kumar Mitra

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: low-carbon transportation; generative AI; California; heavy-duty vehicles; off-road equipment

Online: 20 December 2023 (13:01:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.2194.v1

A Green Voltammetric Determination of Molnupiravir using a Disposable Screen-Printed Reduced Graphene Oxide Electrode: Application to Pharmaceutical Dosage Form and Biological Fluid

Abdelrahman Nabile, Hassan Hendawy, Randa Abdel Salam, Rasha Ahmed, Ahmed Shawky, Samy Emara, Noha Ibrahim

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Molnupiravir; cyclic voltammetry; differential pulse; disposable screen printed electrode; biological fluids; greenness assessment

Online: 30 June 2023 (09:23:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0478.v1

Does Climate Finance Support Institutional Adaptive Capacity in Caribbean Small Island and Developing States? An Analysis of the Green Climate Fund Readiness Grants

Liana Ricci, Maryline Mangenot

Subject: Social Sciences, Other Keywords: Green Climate Funds; Readiness Grants; Adaptation; SIDS; mainstreaming; adaptive capacity

Online: 8 May 2023 (08:44:10 CEST)

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The impacts of climate change are already felt across the globe, and (SIDS) are at the forefront. Small Islands Developing States (SIDS) are extremely vulnerable to climate change and adaptation is crucial, however they often lack funding or the fiscal capacity to make the necessary invest-ments and require support from climate finance instruments. The Green Climate Fund (GCF) was designed with the objective of achieving a “paradigm shift” towards low-carbon and climate resilient country-driven development pathway. Despite the amounts invested, assessing the impacts of climate finance on adaptation and adaptive capacity, particularly at the institutional level remains a challenge. Researchers identified two key components for more efficient adapta-tion policies at the national level: the degree of adaptation mainstreaming and institutional adaptive capacity. In SIDS, institutional capacity at the national level is seen as a key component to achieve the objectives of climate change strategies, and is supported by several programmes, including the Green Climate Fund Readiness Preparatory Support Programmes. However, to date few studies have analysed the linkages between climate finance, adaptation mainstreaming and adaptive institutional capacity. Through the review of the Readiness Grants and semi-structured interviews in three Caribbean SIDS, this research assess how climate finance may promote in-stitutional change through the mainstreaming of adaptation policies at the national level and contribute to more institutional adaptive capacity. It shows that the grants had a positive impact, which can be limited to by the strength of the institutions in place. These results demonstrate that access to climate finance can create a window of opportunity for countries to accelerate institu-tional change and allow to make recommendations on how to maximise the impacts adaptation funds. More in-depth studies would be needed to examine the complementary influence of the different climate finance flows (multilateral or bilateral) and their interplay with national institu-tional mechanisms.

Preprint CASE REPORT | doi:10.20944/preprints202407.1971.v1

Solar Energy Data Analysis & Predictive Modeling: A Case Study on Open Data of Saudi Arabian Solar Energy

Mohommad Ali Bandusab Kadampur

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Solar Energy; Predictive Modeling; Meteorological Variables; Machine Learning; RandomForestRegressor and XGBoosting; Power BI; Global Horizontal Irradiance; Saudi Arabia

Online: 25 July 2024 (10:19:15 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202004.0253.v1

Optimizing Open Data to Support One Health: Best Practices to Ensure Interoperability of Genomic Data from Microbial Pathogens

Ruth E. Timme, William J. Wolfgang, Maria Balkey, Sai Laxmi Gubbala Venkata, Robyn Randolph, Marc Allard, Errol Strain

Subject: Biology And Life Sciences, Virology Keywords: Genomic Epidemiology; GenomeTrakr; microbial pathogen surveillance, NCBI submission; whole genome sequencing; QA/QC; One Health

Online: 16 April 2020 (05:26:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2198.v1

Drimia maritima as a New Green Inhibitor for Al-Si Alloy, SAE Steel and Pure Al Samples in 0.5M NaCl Solution: Polarization and Electrochemical Impedance Analyses

Rodrigo S. Bonatti, Diego Costa, Giovana Padilha, Ausdinir Danilo Bortolozo, Wislei R. Osório

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: inhibitor; electrochemical impedance spectroscopy; polarization curves; Langmuir; adsorption isotherms; Al-Si alloys; low carbon steel

Online: 30 August 2024 (10:57:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.1849.v1

Melatonin and Sodium Nitroprusside Impact on Vegetative Growth, Physiological, Biochemical Traits and Mineral Elements Contents of California Wonder Green Bell Pepper (Capsicum annuum) Under Different Temperatures

Dariush Ramezan, Meisam Zargar, Gani Stybayev, Zhenis Zharlygassov, Gulden Kipshakbayeva, Aliya Baitelenova

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Foliage; vegetative growth; photosynthesis; temperature

Online: 25 December 2023 (13:11:35 CET)

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In the present study, the effect of melatonin and sodium nitroprusside treatments on the improvement of high temperature tolerance in California Wonder green bell pepper plant was studied. For this purpose, a factorial experiment was conducted in a form of a completely randomized design in three replications at Zabol University's Faculty of Agriculture. In this research, green bell pepper plants of Wonder cultivar were exposed to different temperature treatments (25°C, 35°C and 40°C) for 24 hours after being sprayed (foliar application) with 0μM, 50μM and 100μM concentrations of melatonin and sodium nitroprusside. Results showed that Shoot dry weight without fruit (DWPWF) at 40°C in compared to 25°C, 21.54% decreased. Also, foliar application with 100μM melatonin in compared to control (0uM) caused a 13.26% an increased in dry weight of shoots without fruit (DWPWF). Also, leaf chlorophyll at 40°C temperature in compared to 25°C temperature 32.82% decreased and foliar application with 100μM melatonin and 100μM sodium nitroprusside improved leaf chlorophyll value in compared to other foliar application treatments. Foliar application with 50uM and 100uM sodium nitroperoxide at 40°C temperature caused decreased of 15.16% and 20.99% of leaf hydrogen peroxide in compared to 0uM foliar application treatment, respectively. Also, under 40°C temperature, foliar application with melatonin and sodium nitroprusside (50μM and 100μM) in compared to 0μM foliar application activity of leaf superoxide dismutase enzyme increased. Also, leaf nitrogen under with 50 μM and 100μM melatonin in compared to 0μM foliar application 9.61% and 23.72% increased. Leaf potassium in 40°C temperature, foliar application with 50uM melatonin, 100uM melatonin, 50uM sodium nitroprusside and 100μM sodium nitroprusside 55.20, 72, 25.60 and 70.40% in compared to 0uM foliar application increased respectively. leaf iron in foliar application with 100μM sodium nitroprusside in compared to 0μM foliar application 17.96% increased.

Preprint ARTICLE | doi:10.20944/preprints202103.0244.v1

Analysis of Land Surface Temperature due to Dynamics of Green Spaces and Water Bodies Using Geospatial Techniques in Gida Kiremu, Limu and Amuru Districts, Western Ethiopia

Mitiku Badasa, Lachisa Busha

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: land surface temperature (LST); NDVI; NDBaI; MNDWI; Satellite data

Online: 9 March 2021 (09:17:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0048.v1

UAV Low Altitude Photogrammetry for Power Line Inspection

Yong Zhang, Xiuxiao Yuan, Yi Fang, Shiyu Chen

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: UAV remote sensing; power line inspection; dense matching; virtual photography; automatic detection of obstacles in power line corridor

Online: 5 August 2016 (08:07:23 CEST)

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Preprint REVIEW | doi:10.20944/preprints201806.0238.v1

A radio-fluorogenic polymer-gel makes fixed fluorescent images of complex radiation fields

John Warman, Matthijs deHaas, Leonard Luthjens, Antonia Denkova, Tiantian Yao

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: Keywords: 3D dose imaging; radio-fluorogenic gel; polymer gel dosimetry; radio-fluorogenic co-polymerization; tertiary-butyl acrylate gel; proton beam imaging

Online: 14 June 2018 (16:05:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202312.0058.v1

Assessing Recession Constant Sensitivity and Its Interaction with Data Adjustment Parameters in Continuous Hydrological Modeling in Data Scarce Basins: A Case Study Using the Xinanjiang Model

Thandar Tun Zin, Minjiao LU, Takahiro OGURA

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: XAJ model; Recession constant; Data adjustment parameter; Model performance; Sensitivity

Online: 1 December 2023 (07:38:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.1814.v1

First U-pb (CA-ID-TIMS) Radioisotopic Dating of the Uppermost Permian Coal Interval in the Minusinsk Coal Basin (Siberia, Russia)

Vladimir V. Silantiev, Sergey I. Arbuzov, Marion Tichomirowa, Alexandra Käßner, Alsu Kh. Izmailova, Sergey S. Ilenok, Bulat R. Soktoev, Nouria G. Nurgalieva, Yaroslav M. Gutak, Anastasia S. Felker, Lyubov G. Porokhovnichenko, Nikolai A. Eliseev, Veronika V. Zharinova, Evgenia M. Nurieva, Milyausha N. Urazaeva

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: Siberia, Minusinsk Basin; Permian; tonstein; ash falls, U-PB dating; CA-ID-TIMS, geochronology; biostratigraphy; Angaraland

Online: 23 July 2024 (17:56:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2555.v1

A Novel Method of Secured Data Distribution Using Sharding Zkp and Zero Trust Architecture in Blockchain Multi Cloud Environment

Komala R, Arun Kumar B.R., Mahadeshwara Prasad, Shreyas A

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: cloud computing; big data; sharding concept; blockchain; smart contract; digital wallets; zero knowledge proof; zk-snarks; zero trust model; data privacy

Online: 31 July 2024 (13:53:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1338.v1

Exploring the Impact of Mindful Leadership on Employee Green Creativity in Manufacturing Firms: A Social Information Processing Perspective

Baiqing Sun, Yuze Xi

Subject: Business, Economics And Management, Business And Management Keywords: mindful leadership; employee green creativity; moral reflectiveness; environmental passion; manufacturing

Online: 16 July 2024 (14:50:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1796.v1

Consumers’ Purchase Intention of Electric Vehicles from the Perspective of Perceived Green Value: An Empirical Survey from China

Zhao Haipeng, Fumitaka Furuoka, Rajah A/L Rasiah, Shen Erhuan

Subject: Business, Economics And Management, Economics Keywords: Green purchase intention; Green perceived value; Perceived responsibility; Perceived self-efficacy

Online: 28 May 2024 (09:24:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1467.v2

Instant One-Pot Green Synthesis of Functional Ultra-Stable Gold Nanoparticles: Vaginal Candidiasis Point-of-Care Case Study

Mohamed Sallam, Kimberley Clack, Ema Romão, Cong Minh Nguyen, Amandeep Singh Pannu, Tanzena Tanny, Frank Sainsbury, Nam-Trung Nguyen, Pieter De Pauw, Nick Devoogdt, Nobuo Kimizuka, Serge Muyldermans

Subject: Chemistry And Materials Science, Nanotechnology Keywords: Women’ s health; Biosensing; Organometallic nanoparticles; Green-synthesis nanoparticles; Vaginal candidiasis; Candida albicans

Online: 27 May 2024 (09:52:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202310.0402.v1

Phytoremediation Effectiveness of Marginalized Vegetation as Green Bio-Filter of Particulate Matters in The Southwestern of Japan (Fukuoka)

Duha S Hammad, Miksik Frantisek, Kyaw Thu, Miyazaki Takahiko

Subject: Environmental And Earth Sciences, Pollution Keywords: Pollution; Phytoremediation; Plants; PM mitigation; Deposition; Foliage; Morphological traits; Par-ticulate matter

Online: 9 October 2023 (09:03:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0274.v1

Monitoring Distribution of the Therapeutic Agent Dimethyl sulfoxide (DMSO) via Solvatochromic Shift of the Albumin-Bound Indocyanine Green

Jaedu Cho, Farouk Nouizi, Chang-Seok Kim, Gultekin Gulsen

Subject: Engineering, Bioengineering Keywords: Fluorescence Imaging; Multispectral and hyperspectral imaging; Solvatochromic shift; Tunable Lasers; Spectroscopy; DMSO Sensing; Drug uptake monitoring

Online: 6 September 2023 (14:57:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0791.v1

Introducing a High Throughput Nanozymatic Method for Green Nanozyme-Mediated Degradation of Organic Dyes in Real Water Media

Saeed Reza Hormozi Jangi

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: nanozyme-mediated dye degradation; organic dye; nanozyme; methylene blue; real water media

Online: 12 June 2023 (07:38:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0107.v2

A Systematic Assessment for the Co-Design of Green Infrastructure Prototypes - A Case Study in Urban Costa Rica

Fernando Chapa, María Perez Rubi, Jochen Hack

Subject: Environmental And Earth Sciences, Environmental Science Keywords: green infrastructure; transdisciplinary; water systems; Costa Rica; co-design; prototype

Online: 27 December 2022 (01:55:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0015.v1

Novel Modular Rhodopsins from Green Algae Hold Great Potential for Cellular Optogenetic Modulation across the Biological Model Systems

Mayanka Awasthi, Kumari Sushmita, Manish Kaushik, Peeyush Ranjan, Suneel Kateriya

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Enzymerhodopsin; Channelrhodopsins; Optogenetics; Two-component system; Cyclase; Phosphodiesterase

Online: 1 September 2020 (11:50:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0024.v1

Effect of the Sodium Polyacrylate on the Magnetite Nanoparticles Produced by Green Chemistry Routes: Applicability in Forward Osmosis

Juan Zufia-Rivas , Puerto Morales, Sabino Veintemillas-Verdaguer

Subject: Chemistry And Materials Science, Nanotechnology Keywords: magnetic nanoparticles; sodium polyacrylate; nanocomposites; draw solutes; forward osmosis

Online: 4 June 2018 (08:43:01 CEST)

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Preprint REVIEW | doi:10.20944/preprints202408.0556.v1

A Literature Review of Explainable Tabular Data

Helen O'Brien Quinn, Mohamed Sedky, Janet Francis, Michael Streeton

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Explainable Artificial Intelligence (XAI); tabular data, interpretable; machine learning (ML)

Online: 8 August 2024 (12:34:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0989.v1

Implementing Federated Governance in Data Mesh Architecture

Anton Dolhopolov, Arnaud Castelltort, Anne Laurent

Subject: Computer Science And Mathematics, Information Systems Keywords: Decentralized Systems; Federated Governance; Metadata Management; Data Mesh; Blockchain

Online: 19 February 2024 (11:19:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.2013.v1

Information Data Length Theory for the Transient

Dr Ismail A Mageed

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Information data length; transient queues; M/M/ Infinity Queueing System

Online: 29 January 2024 (12:59:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202401.0622.v1

Towards an ELSA Curriculum for Data Scientists

Maria Christoforaki, Oya Deniz Beyan

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: AI ethics; Data Science; Artificial Intelligence; ELSA; Education

Online: 8 January 2024 (10:40:53 CET)

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