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Preprint REVIEW | doi:10.20944/preprints202403.1485.v1

Review of Fourth-Order Maximum Entropy Based Predictive Modelling and Illustrative Application to a Nuclear Reactor Benchmark. I. Typical High-Order Sensitivity and Uncertainty Analysis

Dan Gabriel Cacuci, Ruixian Fang

Subject: Physical Sciences, Applied Physics Keywords: predictive modeling; sensitivity analysis; uncertainty quantification; data assimilation; model calibration; reducing predicted uncertainties

Online: 25 March 2024 (13:31:57 CET)

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This work (in two parts) will review the recently developed predictive modeling methodology called “4th-BERRU-PM” and its applicability to energy systems as exemplified by an illustrative application to the Polyethylene-Reflected Plutonium (acronym: PERP) OECD/NEA reactor physics benchmark. The acronym 4th-BERRU-PM designates the “Fourth-Order Best-Estimate Results with Reduced Uncertainties Predictive Modeling” methodology, which yields best-estimate results with reduced uncertainties for the first fourth-order moments (mean values, covariance, skewness, and kurtosis) of the optimally predicted posterior distribution of model results and calibrated model parameters. The 4th-BERRU-PM uses the Maximum Entropy (MaxEnt) principle to incorporate fourth-order experimental and computational information, including fourth (and higher) order sensitivities of computed model responses to model parameters, thus incorporating, as particular cases, the results previously predicted by the second-order predictive modeling methodology 2nd-BERRU-PM, and vastly generalizing the results produced by extant data assimilation and data adjustment procedures. The 4th-BERRU-PM methodology encompasses the scopes of high-order sensitivity analysis (SA), uncertainty quantification (UQ), data assimilation (DA) and model calibration (MC). The application of the 4th-BERRU-PM methodology to energy systems is illustrated by means of the above-mentioned OECD/NEA reactor physics benchmark, which is modeled using the neutron transport Boltzmann equation involving 21976 imprecisely known parameters, the solution of which is representative of “large-scale computations.” The model result (“response”) of interest is the leakage of neutrons through the outer surface of this spherical benchmark, which can be computed numerically and measured experimentally. Part 1 of this work illustrates the impact of high-order sensitivities, in conjunction with parameter standard deviations of various magnitudes, on the determination of the expected value and variance of the computed response in terms of the first four moments of the distribution of the uncertain model parameters. Part 2 of this work will illustrate the capabilities of the 4th-BERRU-PM methodology for combining computational and experimental information, up to and including forth-order sensitivities and distributional moments, for producing best-estimate values for the predicted responses and model parameters while reducing their accompanying uncertainties.

Preprint ARTICLE | doi:10.20944/preprints202408.1207.v1

Exceptional Strength-Ductility Combinations of a CoCrNi-Based Medium-Entropy Alloy via Short/Medium-Time Annealing after Hot-Rolling

Yongan Chen, Dazhao Li, Zhijie Yan, Shaobin Bai, Ruofei Xie, Jian Sheng, Jian Zhang, Shuai Li, Jinzhong Zhang

Subject: Engineering, Mechanical Engineering Keywords: medium-entropy alloy; precipitates; mechanical properties; deformation mechanisms

Online: 16 August 2024 (08:38:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0284.v1

Continuous Time Simulation and System Level Control Model of a Modern MVDC Distribution Grid including SST and MMC Based AFE

Daniel Siemaszko, Mauro Carpita

Subject: Engineering, Electrical And Electronic Engineering Keywords: DC distribution systems; Power systems simulation; Power distribution control; Power system planning,; Pulse Width Modulation; Modular Multilevel Converter (MMC); Solid State Transformer

Online: 3 April 2024 (10:00:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0823.v1

Interpretability Analysis and Attention Mechanism of Deep Learning-Based Microscopic Vision

Zheng Xu, Xinwei Zhao, Xiaodong Wang, Yuchen Kong, Tongqun Ren, Yanqi Wang

Subject: Engineering, Mechanical Engineering Keywords: microscopic vision; micro-assembly; convolutional neural network; attention mechanism; gradient-weighted class activation mapping

Online: 11 April 2024 (15:18:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1849.v2

Psychosocial Factors in Evidence-based Management Interventions and Policymaking: The COPSOQ III Greek Validation Study

Aristomenis Kotsakis, Demetris Avraam, Maria Malliarou, Constantinos Halkiopoulos, Michael Galanakis, Michael Sfakianakis, Elpidoforos S. Soteriades

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: COPSOQ; Psychosocial Stress; Risk Assessment; Work Factors; Greek Validation Study; Organizational Diagnosis; Psychosocial Risk Management; Psychosocial Work Environment; Work Environment; Emerging Risks; Psychosocial Risk Analytics; Management Interventions; Human-risk Monitoring; Psychosocial Wellbeing

Online: 19 August 2024 (17:51:05 CEST)

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Background: Over the past two decades, the Copenhagen Psychosocial Questionnaire (COPSOQ) has been established as a valid instrument to measure psychosocial stress at work. Currently, the COPSOQ international network is responsible for monitoring and improving COPSOQ. In 2019, a new questionnaire was published, and the Greek version is now being validated. Methods: The measurement qualities of the Greek COPSOQ III have been explored in accordance with the usual requirements of a validation study as defined by DIN EN ISO 10075-3. A sample of observations from 2,189 participants surveyed with the COPSOQ in Greece was used to validate the current version with appropriate statistical analyses. Exploratory factor analysis was used to assess the statistical relationships for many scales. Results: With its 108 items and 40 scales, the Greek COPSOQ III includes all psychosocial work factors that have been internationally validated and remain compatible with approximately 72% of the COPSOQ III German version content. In addition to the primary results, congruence with widely used theoretical approaches such as the demand-control (−support) model (DCM) or the job demands-resources model (JDR) is generally satisfactory. In summary, our validation study for the Greek COPSOQ III version showed adequate reliability and validity, which is in line with the findings of the COPSOQ III questionnaire from other European countries, and it is also compatible with the validation of the German COPSOQ III (Lincke, 2021). Our regression analysis revealed that 34 psychosocial work factors (34 “context” scales) could adequately predict the scores of the satisfactory and health scales (6 “outcome” scales). The analysis also revealed the top five (5) predictors (context variables) for each of the six (6) “effect” scales (outcome variables). Conclusions: With the launch of COPSOQ III in Greece, current and new workplace psychosocial aspects could be explored. COPSOQ III (GR) is a beneficial instrument for enterprise research and risk assessment.

Preprint ARTICLE | doi:10.20944/preprints202403.0474.v1

Prediction of Mismatch Repair Status in Endometrial Cancer from Histological Slide Images Using Various Deep Learning-Based Algorithms

Mina Umemoto, Tasuku Mariya, Yuta Nambu, Mai Nagata, Toshihiro Horimai, Shintaro Sugita, Takayuki Kanaseki, Yuka Takenaka, Shota Shinkai, Motoki Matsuura, Masahiro Iwasaki, Yoshihiko Hirohashi, Tadashi Hasegawa, Toshihiko Torigoe, Yuichi Fujino, Tsuyoshi Saito

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: endometrial cancer; deep learning; artificial intelligence; biomarker; mismatch repair; molecular classification; whole slide imaging; digital pathology

Online: 8 March 2024 (09:24:54 CET)

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Preprint ESSAY | doi:10.20944/preprints202406.0603.v1

Based on the Concept of Absolute Airspace Reference System Revision and Unification of Space-Time Transformation Theory

Shandong Zhao, Yijia Zhao

Subject: Physical Sciences, Theoretical Physics Keywords: absolute airspace; Space-time transformation; Relativity ; theory; Spatiotemporal metric

Online: 11 June 2024 (08:44:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0402.v2

Wheat Yield Estimation using Machine Learning Method Based on UAV Remote Sensing Data

Shurong Yang, Lei Li, Shuaipeng Fei, Mengjiao Yang, Zhiqiang Tao, Yaxiong Meng, Yonggui Xiao

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: machine learning; yield prediction; data fusion; wheat; phenotyping

Online: 23 May 2024 (12:31:37 CEST)

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Accurate forecasting of crop yields holds paramount importance in guiding decision-making processes related to breeding efforts. This study focused on the application of multi-sensor data fusion and machine learning algorithms based on unmanned aerial vehicles (UAVs) in wheat yield prediction. Five machine learning (ML) algorithms namely random forest (RF), partial least squares (PLS), ridge regression (RR), K-Nearest Neighbor (KNN) and eXtreme Gradient Boosting Decision Tree (XGboost) were utilized for multi-sensor data fusion, and three ensemble methods including the second-level ensemble methods (stacking and feature-weighted) and the third-level ensemble method (simple average) for wheat yield prediction. The 270 wheat hybrids were used as planting materials under full and limited irrigation treatments. A cost-effective multi-sensor UAV platform, equipped with red–green–blue (RGB), multispectral (MS), and thermal infrared (TIR) sensors, was utilized to gather remote sensing data. The results revealed that the XGboost algorithm exhibited outstanding performance in multi-sensor data fusion, with the RGB+MS+Texture+TIR combination demonstrating the highest fusion performance (R2=0.660, RMSE= 0.754). Compared with the single ML model, the employment of three ensemble methods significantly enhanced the prediction accuracy of wheat yield. Notably, the third-layer simple average ensemble method demonstrated superior performance (R2 = 0.733, RMSE= 0.668 t ha-1). It significantly outperformed both the second-layer ensemble methods of Stacking (R2= 0.668, RMSE= 0.673 t ha-1) and feature-weighted (R2= 0.667, RMSE= 0.674 t ha-1), thereby exhibiting superior predictive capabilities. This finding demonstrated that the third-layer ensemble method not only augments the predictive ability of the model but also fine-tuned the accuracy of wheat yield prediction through the employment of simple average ensemble learning. Consequently, it offers a novel perspective for crop yield prediction and breeding selection.

Preprint ARTICLE | doi:10.20944/preprints202402.0780.v1

Development of Interpersonal Soft Skills Learning Model Based Tltd to Improve Hospital Nurses’s Competency in Timor-Leste: A Cross- Sectional Study

Domingos Soares

Subject: Public Health And Healthcare, Nursing Keywords: learning; leadership; nurse’ s competencies

Online: 14 February 2024 (06:09:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.0607.v1

Experimental validation and performance evaluation of high-performance devices based on a low-noise MEMS accelerometer

Marianna Crognale, Cecilia Rinaldi, Francesco Potenza, Vincenzo Gattulli, Andrea Colarieti, Fabio Franchi

Subject: Engineering, Civil Engineering Keywords: Structural Health Monitoring; SHM-board; ultra-low-power micro-controller; Internet of things

Online: 12 February 2024 (08:13:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.1954.v1

Genetic Diversity of Subtropical Soybean [Glycine max (L.) Merrill] Genotypes Based on SSR Markers

Hapson Mushoriwa, Isack Mathew, Pangirayi Tongoona, Eastonce T. Gwata, Godfree Chigeza, Ibnou Dieng, Abush A. Tesfaye, John Derera

Subject: Biology And Life Sciences, Plant Sciences Keywords: Diversity; Genotype; Soybean germplasm; SSR markers

Online: 1 July 2024 (10:55:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0147.v1

A Method to Classify Texts Based on Sentiment Analysis and Machine Learning

Claudia Corona López, Jesus Urias Piña, Rafael Lahoz-Beltra

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Sentiment analysis; text classification; machine learning

Online: 5 March 2024 (05:10:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202402.1755.v1

Analyzing GDP Growth Drivers in Saudi Arabia: Investment or Consumption: An Evidence-Based ARDL Bound Test Approach

Mwahib Mohammed Gasmelsied Ahmed

Subject: Business, Economics And Management, Economics Keywords: Gross Domestic Product (GDP), Consumption, Investment, Saudi Arabia

Online: 29 February 2024 (16:59:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0499.v1

Detecting Anomalies in IoT Devices: A Machine Learning-Based Solution

Rama Al Attar, mouhammd alkasassbeh, Mu’awya Al-Dala’ien, Manar Alohaly

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: IoT; machine learning; security; ensemble; IDS; anomaly detection ;

Online: 8 April 2024 (05:04:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1509.v1

Evolution and Analysis of Water Yield under the Change of Land Use and Climate Change based on the PLUS-InVEST Model: A Case Study of the Yellow River Basin in Henan Province

Xiaoyu Ma, Shasha Liu, Lin Guo, Junzheng Zhang, Chen Feng, Mengyuan Feng, Yilun Li

Subject: Environmental And Earth Sciences, Water Science And Technology Keywords: PLUS model; InVEST model; water yield; land use/land cover; geodetector

Online: 18 July 2024 (23:47:58 CEST)

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Understanding the interrelationships between land use, climate change, and regional water yield is critical for effective water resource management and ecosystem protection. However, comprehensive insights into how water yield evolves under different land use scenarios and climate change remain elusive. This study employs the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) models, Patch-generating Land Use Simulation (PLUS) model, and Geodetector within a unified framework to evaluate the dynamics of land use, water yield, and their relationships with various factors (meteorological, social, economic, etc.). To forecast the Land Use/Cover Change (LUCC) pattern of the Yellow River Basin by 2030, three scenarios were considered: economic development priority (Scenario1), ecological development priority(Scenario2), and cropland development priority(Scenario3). Climate change scenarios were constructed using CMIP6 data, representing low stress (SSP119), medium stress (SSP245), and high stress (SSP585) conditions. The results show the following: (1) From 2000 to 2020, cropland was predominant in the Yellow River Basin, Henan Province, with significant land conversion to impervious land (construction land) and forest land; (2) Water yield changes during this period were primarily influenced by meteorological factors, with land use changes having negligible impact; (3) By 2030, the water yield of Scenario1 is highest among different land use scenarios, marginally surpassing ecological development priority by 0.5%; (4) Climate scenarios reveal significant disparities, with SSP126 yielding 67% higher water production than SSP245, driven predominantly by precipitation; (5) Geodetector analysis identifies precipitation as the most influential single factor, with significant interactions among meteorological and socio-economic factors. These findings offer valuable insights for policymakers and researchers in formulating land use and water resource management strategies.

Preprint ARTICLE | doi:10.20944/preprints202408.1132.v1

Mechanical Behaviors of a New Polymer-Based Restorative Material for Immediate Loading: An In-Vitro, Comparative, Research

Milena Pisano, Łukasz Zadrożny, Anna Di Marzio, Ignazio Kurti, Silvio Mario Meloni, Aurea Immacolata Lumbau, Francesco Mollica, Mario Cesare Pozzan, Santo Catapano, Rafał Maksymilian Molak, Gabriele Cervino, Marco Tallarico

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: PMMA; Metal-reinforced restoration; Restorative materials; Polymer-based; Immediate loading

Online: 15 August 2024 (22:51:55 CEST)

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Metal-reinforced polymethyl-methacrylate (PMMA) is considered the gold standard material for immediate loading on dental implants. However, mechanical problems under loading cycles can occur, such as fractures. To overcome these drawbacks, a novel polymer-based material has been proposed. The aim of the present in vitro comparative research is to validate a novel composite polymer developed to replace metal-reinforced PMMA interim restoration due to its advantages of good mechanical proprieties, easier manufacturing, and handling. Ten interim restorations were CAD/CAM designed and fabricated (five in the composite "ONLY" group, and five in the metal-reinforced PMMA group). All the samples were screwed into the prototype models, simulating a complete edentulous mandible rehabilitated with six straight implants. Outcome measures were breakpoint (load, N) and displacement (mm) thought a static, compression test and material behavior under dynamic cyclic test method (fatigue test). A total of twenty samples were tested. Ten samples were used for each test (10 for static and 10 for dynamic), five samples were used in each group (test and control). All the specimens completed the mechanical tests, as planned. There was no statistically significant difference between groups for all, breakpoint, displacement and fatigue tests. Breakpoint in the test group was 1953.19 ± 543.73 N, while, it was 2031.10 ± 716.68 N in the control group, with no statistically significant difference (P=0.775). The displacement was 1.89 ± 0.34 mm in the test group and 1.98 ± 0.75 mm in the control group, again, with no statistically significant difference (P=0.763). Under dynamic cyclic test method, in the control group the mean load was 2504.6 ± 972.15 N, while, in the test group the mean load was 3382 ± 578.5 N. The difference between group was 877.4 ± 579.3 N (p value=0.121). With the limitation of this in vitro study, the novel composite polymer can be used to immediately load dental implants. Further clinical researches are needed to confirm this preliminary results.

Preprint ARTICLE | doi:10.20944/preprints202408.0371.v1

Exploring the Diversity and Potential Use of Flower-Derived Lactic Acid Bacteria in Plant-Based Fermentation: Insights into Exo-Cellular Polysaccharide Production

Azadeh Khiabani, Hang Xiao, Anders Peter Wätjen, Miguel Tovar, Vera Kuzina Poulsen, Egon Bech Hansen, Claus Heiner Bang-Berthelsen

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Exo-cellular polysaccharide; Plant-based fermentation; Isolation; Flower; Lactic acid bacteria; Texture

Online: 6 August 2024 (06:20:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0620.v1

Design and Optimization of CO2 Recovery Process of Fire-Flooding Exhaust Based on Membrane Separation Method

CHANG Mingliang, PAN Jie

Subject: Engineering, Chemical Engineering Keywords: Fire-flooding exhaust; Membrane separation; Liquefaction; Rectification; optimize

Online: 9 August 2024 (00:21:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1868.v1

Hip and Pelvic Muscle Isometric Strength Measurements and Ratios as Hamstring Injury Predictors in Male Soccer Players: A Multivariate Machine Learning- Based Study with Specific Analysis of Symmetrical Uncertainty Attribute Evaluation. A Prospective Study

afxentios kekelekis, Rabiu Muazu Musa, Pantelis Nikolaidis, Filipe Clemente, Eleftherios Kellis

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: hamstring injury; injury prediction; hip muscle strength asymmetries; lumbo-pelvic complex; machine learning

Online: 26 August 2024 (15:31:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1129.v1

A Novel Differentiated Control Strategy for Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features

Wei Xiao, Jun Jia, Weidong Zhong, Wenxue Liu, Zhuoyan Wu, Cheng Jiang, Binke Li

Subject: Engineering, Energy And Fuel Technology Keywords: energy storage station; lithium-ion battery; differentiated control; health feature; aging cost

Online: 22 March 2024 (07:44:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0132.v1

A Chip-Level Testing Platform of Unmanned Vehicle Autopilot Systems with FPGA-Based Hardware-in-the-Loop Simulation

Xunhua Dai, Ruyi Fang

Subject: Engineering, Control And Systems Engineering Keywords: unmanned vehicles; autopilot systems; chip-level faults; hardware-in-the-loop (HIL) simulation; Field Programmable Gate Array (FPGA)

Online: 4 March 2024 (13:57:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202310.0818.v1

Contactless Rotor Ground Fault Detection Method for Brushless Synchronous Machines Based on an AC/DC Rotating Current Sensor

Miguel A. Pardo-Vicente, José M. Guerrero, Carlos Antonio Platero, And José A. Sánchez

Subject: Engineering, Electrical And Electronic Engineering Keywords: Alternate Current; Direct Current; Rotor Fault Detection; Current Sensor

Online: 13 October 2023 (02:58:57 CEST)

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Preprint REVIEW | doi:10.20944/preprints202308.1017.v2

Review of Nature-Based Echo-Hydraulic Aqua-Forest Technology for Coastal Resilience and Sea Level Rise Climate-Induced Adaptation

Olanrewaju Oladokun, Unberto Lazzaro

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Nature-based solution; seaweed; seagrass; platform; coastal protection

Online: 16 April 2024 (10:46:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0029.v1

Generalized Bayesian Inference Study Based on Type-II Censored Data from Pareto Distribution

Ghadah Alomani, Yahia Awad, Mohamed Kayid

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Generalized Bayesian; learning rate parameter; Generalized Bayesian estimators; generalized empirical Bayesian estimators; generalized Bayesian prediction; generalized empirical Bayesian prediction; Simulation

Online: 2 September 2024 (08:54:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0829.v1

Performance Based Design of Alkali Activated Concrete for High Thermal Load Applications

Anastasija Komkova, Carlos Andres Arce Campos, Catherine G. Papanicolaou, Thanasis C. Triantafillou

Subject: Engineering, Civil Engineering Keywords: Alkali-activated material; geopolymer; concrete; design of experiment; olivine

Online: 11 September 2024 (11:02:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0193.v1

Wavelet-Based Stochastic Finite Element Analysis of Steel Girders

Marcin Kamiński, Michał Guminiak, Anna Knitter-Piątkowska, Olga Kawa

Subject: Engineering, Architecture, Building And Construction Keywords: steel girders, stochastic finite element method, damage detection, discrete wavelet transform

Online: 4 June 2024 (15:26:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0554.v1

Influenza Virus-Based Antiviral Strategy: A Broad-Spectrum Potential of a Marine Bacterium Targeting Future Pandemics

Kyeong-Seo Moon, Grace Choi, Su-Bin Jung, Hyo-Jin Kim, Jun-Gyu Park, Yong Min Kwon, Eun-Seo Cho, Mi Yeong Shin, Jae-Yeong Yu, Ji Ae Choi, Yeong-Bin Baek, Sang-Ik Park

Subject: Biology And Life Sciences, Virology Keywords: marine bacterium; influenza virus; Zika virus; dengue virus; apoptosis; broad antiviral activity

Online: 11 March 2024 (08:58:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0835.v1

Barrier Effects of a Novel Poly (Lactic acid/Caprolactone) Bilayer Membrane for Guided Bone Regeneration on Skull without Periosteum of Adult-Senior Staged Rats

Masaru Murata, Md. Arafat Kabir, Kenji Yokozeki, Mamata Shakya, Kaoru Kusano

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: guided bone regeneration (GBR); bone augmentation; absorbable; membrane; collagen; hydroxyapatite; poly (lactic acid /caprolactone); biomimetics

Online: 14 March 2024 (05:35:12 CET)

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

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

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

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

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

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

Preprint REVIEW | doi:10.20944/preprints202407.2527.v1

Updated Risk Assessment of Cannabidiol in Foods based on Benchmark Dose-Response Modeling

Eva Wisotzki, Heike Franke, Constanze Sproll, Stephan G. Walch, Dirk W. Lachenmeier

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: cannabidiol; novel food; health-based guidance value; benchmark dose; risk assessment

Online: 31 July 2024 (09:50:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.2417.v1

Characterization of Stealth Liposome-Based Nanoparticles Encapsulating the ACAT1/SOAT1 Inhibitor F26: Efficacy and Toxicity Studies In Vitro and in Wild-Type Mice

Junghoon Lee, Adrianna L. De La Torre, Felix L. Rawlinson, Dylan B. Ness, Lionel D. Lewis, William F. Hickey, Catherine C.Y. Chang, Ta Yuan Chang

Subject: Biology And Life Sciences, Endocrinology And Metabolism Keywords: ACAT1/SOAT1; nanoparticle; F1251; F26; cholesterol; cholesteryl ester; DSPE-PEG; phosphatidylcholine; neurodegenerative diseases; Alzheimer’s disease

Online: 30 July 2024 (07:35:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0468.v1

SDC-Net++: End-to-End Crash Detection and Action Control for Self-Driving Car Deep-IoT-Based System

Mohammed Abdou Tolba, Hanan Ahmed Kamal

Subject: Engineering, Automotive Engineering Keywords: Autonomous driving, deep learning; computer vision; multitask learning; crash detection; path planning; automatic emergency braking; camera-cocoon; IoT; system

Online: 8 May 2024 (15:51:48 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1398.v1

Research on Travel Route Planning Optimization based on Large Language Model

Bohang Li, Kai Zhang, Yiping Sun, Jianke Zou

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: travel route planning; large language model; graph search algorithm; route optimization

Online: 17 July 2024 (09:41:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0443.v1

A Novel Hashcode-based Duplication Reduction via Thresholding Approach for Large-scale Web Documents

Sana Ejaz, Asma Naseer, asma Ahmad, maria Tamoor, Samina Naz

Subject: Computer Science And Mathematics, Computer Science Keywords: Duplicate detection; Hash keys; Information Retrieval; Threshold; Web documents; and Web pages

Online: 6 August 2024 (15:56:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202308.2052.v1

Deep Learning-Based Link Quality Estimation for RIS-Assisted UAV-Enabled Wireless Communications System

Belayneh Abebe Tesfaw, Rong-Terng Juang, Li-Chia Ta, Hsin-Piao Lin, Getaneh Berie Tarekegn, And Kabore Wendenda Nathanael

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Link quality estimation; reconfigurable intelligent surfaces (RIS); gated recurrent unit (GRU); unmanned aerial vehicle (UAV).

Online: 30 August 2023 (11:39:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1597.v1

Market Value of Nanotechnology-Based Products in Agriculture: Current Status and Future Sustainability Goals in the Era of Climate Change

Abhishek Singh, Ronnie Figueiredo, Artur A. Avagyan, Hasmik S. Movsesyan, Vishnu D. Rajput, Tatiana M. Minkina, Rupesh Kumar Singh, João Ricardo Sousa, Karen Ghazaryan

Subject: Environmental And Earth Sciences, Environmental Science Keywords: nanotechnology; products; agriculture; animal husbandry; climate change

Online: 26 March 2024 (14:32:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.0569.v1

Identification of Relevant Research Topics Based on Pooled Bibliometric Data of International Journal of Hydrogen Energy Publications for 2022–2024 from the Lens and ScienceDirect Platforms

Boris Chigarev

Subject: Engineering, Energy And Fuel Technology Keywords: International Journal of Hydrogen Energy; The Lens; ScienceDirect; VOSviewer; Scimago Graphica; FP-growth

Online: 8 August 2024 (12:01:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.0940.v1

Fibrin-Based Hydrogels with Reactive Amphiphilic Copolymers for Mechanical Adjustments Allow for Capillary Formation in 2D and 3D Environments

Svenja Wein, Carina Schemmer, Miriam Aischa Al Enezy-Ulbrich, Shannon Anna Jung, Stephan Rütten, Mark Kühnel, Danny David Jonigk, Wilhelm Jahnen-Dechent, Andrij Pich, Sabine Neuss

Subject: Chemistry And Materials Science, Biomaterials Keywords: Fibrin-based hydrogels; Cell-based angiogenesis; Copolymer integration; In vitro pre-vascularization; Biohybrid constructs

Online: 19 February 2024 (11:48:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.0795.v1

Agent-Based Modeling for Construction Resource Positioning Using Digital Twin and BLE Technologies

Ahmed Mohammed Abdelalim, Salah Omar Said, AlJawharah A.AL Naser, Ahmed Sharaf, Adel ElSamadony, Denise-Penelope N. Kontoni, Mohamed Tantawy

Subject: Engineering, Architecture, Building And Construction Keywords: Agent-based modeling (ABM); Resource Positioning; Building Information Modelling (BIM); Digital Twin; Complex Systems; Decision Support System (DSS); Bluetooth Low Energy (BLE); Client Early Warning System (CEWS); Simulation Environment; Real-Time Monitoring

Online: 13 May 2024 (12:30:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1894.v1

Hybrid Solid Polymer Electrolytes Based on Epoxy Resins, Ionic Liquid and Ceramic Nanoparticles for Structural Applications

Bianca K. Muñoz, Jorge Lozano Martín, Maria Sanchez, Alejandro Ureña

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: Solid Polymer Electrolyte; Composite Polymer Electrolyte; Structural supercapacitor; Energy storage; Structural devices

Online: 26 June 2024 (17:28:35 CEST)

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Working Paper ARTICLE

High-Speed Optical Neural Networks Based on Microcombs

Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Thach G. Nguyen, Andreas Boes, Sai T. Chu, Brent E. Little, Roberto Morandotti, Arnan Mitchell, Damien G. Hicks, David J. Moss

Subject: Engineering, Electrical And Electronic Engineering Keywords: optical neural network; microcomb

Online: 12 March 2020 (03:41:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.0971.v1

Multifunctional Hybrid Material for Endoprosthetic Implants Based on Alumina-Toughened Zirconia Ceramics and Additively Manufactured TiNbTa Alloy

Jan-Oliver Sass, Paul Henke, Aurica Mitrovic, Markus Weinmann, Daniel Kluess, Jan Johannsen, Marie-Luise Sellin, Ulrich Lembke, Daniel Reimer, Cornelia Lork, Anika Jonitz-Heincke, Rainer Bader

Subject: Chemistry And Materials Science, Biomaterials Keywords: implant material; hybrid; alumina-toughened zirconia; beta titanium; glass soldering; additive manufacturing; total knee replacement; aseptic loosening

Online: 18 March 2024 (07:23:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.1391.v1

MRI Based Monitoring of Accumulation of Polyethylene Terephthalate Nanoplastics

Narmin Bashirova, Erik Butenschön, David Poppitz, Henrik Gaß, Marcus Halik, Doreen Dentel, Christoph Tegenkamp, Joerg Matysik, Alia Alia

Subject: Biology And Life Sciences, Toxicology Keywords: Polyethylene terephthalate; nanoplastics; µ; MRI; SPION; wheat

Online: 17 July 2024 (08:22:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1335.v1

Analysis of 2-Year Survival Outcome of Japanese Older Populations on Hemodiafiltration: A Propensity Score Matched Study Based on Insurance Claims Data

Aziz Jamal, Akira Babazono, Ning Liu, Takako Fujita, Sung-a Kim, Yunfei Li

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: hemodiafiltration; hemodialysis; all-cause mortality; survival outcome; insurance; Japan

Online: 19 August 2024 (13:13:41 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1163.v1

Flood Management on GIS-Based Multicriteria Evaluation in Developing Countries : A Systematic Literature Review

Aptu Andy Kurniawan, Sunardi Sunardi, Hendarmawan Hendarmawan, Iwan Ridwansyah

Subject: Environmental And Earth Sciences, Environmental Science Keywords: determining variables; flood management; GIS; multi-criteria evaluation; systematic literature review; PRISMA

Online: 17 May 2024 (08:53:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201703.0047.v1

Detection of 17 β-estradiol in Environmental Estrogen Pollution and in Women’s Health Care Using a Single-Use, Cost Effective Biosensor Based on Differential Pulse Voltammetry (DPV)

Yifan Dai, Chung chiun Liu

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: 17 β-estradiol; estrogen pollution; female reproduction; DPV

Online: 8 March 2017 (05:39:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.0396.v2

Development of a GIS-based Autonomous Soil Drilling Robot for Efficient Tree Cultivation and Orchard Planting

Osman ECEOĞLU, İlker ÜNAL

Subject: Biology And Life Sciences, Horticulture Keywords: GIS; navigation; orchard; robotics in agriculture; soil drilling machine

Online: 11 June 2024 (08:23:28 CEST)

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A typical orchard's mechanical operation consists of three or four stages: lining, digging for plantation, moving the seedling from nurseries to the farm, moving the seedling to the planting hole, and planting the seedling in the hole. However, the digging the planting hole is the most time-consuming operation. In fruit orchards, robots' usage is increasingly becoming more prevalent to increase operational efficiency. They offer practical and effective services to both industry and people, whether they are assigned to plant trees, reduce the use of chemical fertilizers, or carry heavy loads to relieve staff. Robots can operate for extended periods of time and can highly adept at repetitive tasks like planting many trees. The present study aims to identify the locations for planting trees in orchards using geographic information systems (GIS), to develop an autonomous drilling machine and use the developed robot to open planting holes. There isn't a comparable study on autonomous hole planting in the literature in this regard. The agricultural mobile robot is a four wheeled nonholonomic robot with differential steering and forwarding capability to stable target positions. The designed mobile robot can be used in fully autonomous, partially autonomous, or fully manual modes. The drilling system, which is a y-axis shifter driven by a DC motor with reducer includes an auger with a 2.1 HP gasoline engine. SOLIDWORKS software was used for designing and drawing of the mobile robot and drilling system. The Microsoft Visual Basic.NET programming language was used to create the robot navigation system and drilling mechanism software. The cross-track error (XTE), which determines the distances between the actual and desired holes positions, was utilized to analyze the steering accuracy of the mobile robot to the drilling spots. Consequently, the average of the arithmetic means was determined to be 4.35 cm, and the standard deviation was 1.73 cm. This figure indicates that the suggested system is effective for drilling plant holes in orchards.

Preprint ARTICLE | doi:10.20944/preprints202403.1020.v1

A Generalized Residual-Based Test for Fractional Cointegration in Panel Data with Fixed Effects

Saidat Fehintola Olaniran, Oyebayo Ridwan Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi, Mohd Tahir Ismail

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: fractional cointegration, Residual-based test, panel data model, fixed effects, Asymptotic theory

Online: 18 March 2024 (09:46:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.1422.v1

A City Shared Bike Dispatch Approach Based on Temporal Graph Convolutional Network and Genetic Algorithm

Ji Ma, Shenggen Zheng, Shangjing Lin, Yonghong Cheng

Subject: Engineering, Transportation Science And Technology Keywords: Spatio-temporal demand forecasting; Bike sharing; T-GCN; Scheduling optimization

Online: 23 April 2024 (11:49:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0022.v1

A Methodologic Approach for the Selection of Bio-Resorbable Polymers in the Development of Medical Devices: The Case of Poly(L-lactide-co-e-caprolactone)

Alberto Cingolani, Tommaso Casalini, Stefano Caimi, Antoine Klaue, Mattia Sponchioni, Filippo Rossi, Giuseppe Perale

Subject: Engineering, Bioengineering Keywords: electron beam; ethylene oxide; medical devices; polymers; sterilization

Online: 3 July 2018 (05:33:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1684.v1

Improved Gaussian Filter Deep Learning Based General Adversarial Network Artificial Humming Bird Optimization Classifier for Hand Written Personality Prediction

PUTTASWAMY B S, Thillaiarasu N

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: kernel function; eigenvectors; covariance matrix; exploration and exploitation; discriminator; transfer function; generator

Online: 24 August 2024 (10:32:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0523.v1

A Step Forward Understanding Directional Limitations in Markerless Smartphone-based Gait Analysis

Pavol Martiš, Zuzana Košutzká, Andreas Kranzl

Subject: Engineering, Bioengineering Keywords: OpenCap; Markerless Gait Analysis; Directional Bias in Motion Analysis; Gait kinematics; Smartphone-based Motion Capture; Timed Up and Go (TUG) Test

Online: 8 March 2024 (11:04:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints201609.0060.v1

Imperfection Sensitivity of Nonlinear Vibration of Curved Single-Walled Carbon Nanotubes Based on Nonlocal Timoshenko Beam Theory

Iman Eshraghi, Seyed K. Jalali, Nicola Maria Pugno

Subject: Engineering, Mechanical Engineering Keywords: nonlinear vibration; imperfection; curved SWCNT; nonlocal theory; differential quadrature method (DQ)

Online: 18 September 2016 (10:14:46 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0365.v1

An Index Used to Evaluate the Applicability of Mid-long Term Runoff Prediction in a Basin Based on Mutual Information

Shuai Xie, Zhilong Xiang, Yongqiang Wang, Biqiong Wu, Keyan Shen, Jin Wang

Subject: Engineering, Other Keywords: mid-long term runoff prediction; total mutual information; applicability evaluation; artificial intelligence models; available information

Online: 7 May 2024 (10:32:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1581.v1

Safety, Tolerability and EEG-Based Target Engagement of STP1 (PDE3,4 Inhibitor and NKCC1 Antagonist), in a Randomized Clinical Trial in a Subgroup of Patients with ASD

Baltazar Gomez-Mancilla, Craig Erickson, Ernest V Pedapati, Eric Painbeni, Gregory Bonfils, Lauren M Schmitt, Hannah Sachs, Meredith Will, Lisa Destefano, Grace Westerkamp, Adriano De Souza, Oliver Pohl, Offir Laufer, Gil Issachar, Jean-Marc Hyvelin, Lynn A Durham

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: ASD-Phen1; STP1; ibudilast; bumetanide; phase 1b; EGG; NIH-TCB; SRS-2; ABC-C

Online: 26 March 2024 (10:20:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0206.v1

Temporal and Spatial Response of Ecological Environment Quality to Land Use Transfer in Nanling Mountain Region, China Based on RSEI

Qiulin Xiong, Qingwen Hong, Wenbo Chen

Subject: Environmental And Earth Sciences, Ecology Keywords: Remote sensing ecological index; Land use transfer flow; Land use transfer matrix; Spatial autocorrelation; Geographic detector; Nanling mountain

Online: 4 April 2024 (02:25:25 CEST)

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Working Paper ARTICLE

Temperature-Modulated Pyroelectricity Measurements of a Thin Ferroelectric Crystal With in-Plane Polarization and the Thermal Analysis Based on One-Dimensional Layer Models

Kaoru Yamamoto, Ayumi Kawasaki, Takumi Chinen, and Kayo Ryugo

Subject: Physical Sciences, Acoustics Keywords: pyroelectricity; temperature modulation; molecular ferroelectrics; non-contact measurement; thermal diffusion model; lithium niobate

Online: 30 July 2021 (09:22:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0516.v1

The Challenge of a Recall Programme From a Community-Based Hepatitis C Screening Campaign: The Effectiveness in HCV Microelimination

Cheng-Hung Chien, Tien -Shin Chou, Li-Wei Chen, Chih-Lang Lin, Jia-Jang Chang, Ching-Jung Liu, Shuo-Wei Chen, Ching-Chih Hu, Rong-Nan Chien

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: hepatitis C virus; linkage to care; hepatitis C microelimination

Online: 11 June 2024 (08:36:37 CEST)

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Working Paper ARTICLE

Radio Frequency (RF) Photonic Integrator Based on a Kerr Microcomb

Xingyuan Xu, Mengxi Tan, Jiayang Wu, Andreas Boes, Bill Corcoran, Thach G. Nguyen, Sai T. Chu, Brent Little, Roberto Morandotti, Arnan Mitchell, David J. Moss

Subject: Engineering, Electrical And Electronic Engineering Keywords: integrator; Kerr micro-comb; RF signal processing

Online: 12 March 2020 (04:05:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.0469.v1

Research on SLAM Localization Algorithm for Orchard Dynamic Vision Based on YOLOD-SLAM2

Zhen Ma, Siyuan Yang, Jingbi Li, Jiangtao Qi

Subject: Engineering, Other Keywords: Orchard environment; YOLOD-SLAM2; Navigation line extraction; Pedestrian distance measurement

Online: 7 August 2024 (00:29:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1258.v1

Magnetic Field Analysis and Thrust Verification of Solenoid Actuator Based on Subdomain Method

Mengkun Lu, Zhifang Yuan, Xianglie Yi

Subject: Engineering, Mechanical Engineering Keywords: Solenoid actuator; subdomain method; magnetic vector potential; push-pull electromagnet; movable iron-core

Online: 18 April 2024 (12:30:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0221.v1

3D Printed Poly(?-Caprolactone)/Hydroxyapatite Scaffolds for Bone Tissue Engineering: A Comparative Study on Composite Preparation by Melt Blending or Solvent Casting Techniques and Influence of Bioceramic Content on Scaffold Properties

Sara Biscaia, Mariana V. Branquinho, Rui D. Alvites, Rita Fonseca, Ana Catarina Sousa, Sílvia Santos Pedrosa, Ana R. Caseiro, Fernando Guedes, Tatiana Patrício, Tânia Viana, Artur Mateus, Ana C. Maurício, Nuno Alves

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: Polycaprolactone; Hydroxyapatite; Composites; Solvent casting; Melt blending; 3D printing; Cytocompatibility; Bone tissue engineering

Online: 17 January 2022 (11:29:33 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.0694.v1

Preparation of quick-dissolving nanofibre face masks based on Needleless Electrostatic spinning

Jingyi Hu, Xiaojie Chen, Jianmin Jiang, Renbiao Mai, Han Wang, Qiming Xu, Ting Zhang

Subject: Engineering, Chemical Engineering Keywords: needleless; facial mask; electrospinning; nanofiber

Online: 10 May 2024 (12:22:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0452.v1

Impact on Kidney Transplantation of the Percentage of T Lymphocytes Isolated from Hepatic Perfusate of Multi-Organ Deceased Brain Donors

Duilio Pagano, Ester Badami, Giovanni Zito, Pier Giulio Conaldi, Ivan Vella, Barbara Buscemi, Giandomenico Amico, Rosalia Busà, Paola Salis, Sergio Li Petri, Fabrizio Di Francesco, Sergio Calamia, Pasquale Bonsignore, Alessandro Tropea, Caterina Accardo, Salvatore Piazza, Salvatore Gruttadauria

Subject: Medicine And Pharmacology, Transplantation Keywords: : Kidney transplantation; hepatic perfusate; deceased brain donors; T lymphocytes

Online: 8 May 2023 (05:16:31 CEST)

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Background: Hepatic interstitial T-lymphocytes (T-Li), Natural Killer (NK) and NK-T cells play an important role in both innate and adaptive immunity and contribute to the regulation of ischemia/reperfusion injury (IRI) after transplantation of abdominal organ. Methods: The cellular concentrations and phenotypes of NK, T-Li, NK-T were analyzed retrospectively in a consecutive series of hepatic perfusates after surgical removal of whole livers on the bench previously collected from adult multi-organ donors after brain death. (DBD), and compared with the demographic and pathological characteristics of the patients transplanted at our Institute with kidneys taken from the same donors. The liver interstitial cells were purified from the perfusate by density gradient centrifugation and the phenotype was determined by flow cytometric investigation using the following immunological markers: CD3, CD4, CD8 and CD56 in order to determine the relative percentage of T-Li, NK-T and NK cells. Results: The perfusates of 42 DBDs, and the related clinical outcome of kidney transplant recipients from 2010 to 2020, were analyzed. T-Li were significantly associated with the time in days of delayed functional recovery of transplanted kidneys (DGF) (p = 0.02), to onset of secondary infection from Cytomegalovirus (p = 0.03). On COX analysis, percent cell concentration of T-Li and time to DGF were significantly associated with an increased relative risk (HR) of organ survival (HR = 1.038, p = 0.04; and HR = 1.029, p = 0.01, respectively). The specificity of the NK and NK-T cell proportions were not associated with any relevant clinical outcomes in kidney transplant patients. Conclusions: The present study points to a new potential role of T-Li cells detected in the context of liver perfusate DBD, and could detect potential impacts in organ allocation, surgical harvesting techniques and in the analysis of IRI pathophysiological events after kidney transplants from multi-organ DBDs.

Preprint ARTICLE | doi:10.20944/preprints202406.0074.v1

Evolving HPC Data Centers with Kubernetes, Performance Analysis, and Dynamic Workload Placement Based on ML Scheduling

Vedran Dakić, Mario Kovač, Jurica Slovinac

Subject: Computer Science And Mathematics, Computer Science Keywords: high-performance computing; data center architecture; hardware and software integration; Kubernetes; dynamic performance evaluation ;

Online: 6 June 2024 (03:20:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1318.v1

Arguments for a Community Based Approach to the Geothermal Energy Development

Katarzyna A. Kurek, Jacek Strojny, Johan van Ophem

Subject: Business, Economics And Management, Other Keywords: geothermal energy; endogenous growth; green transition; energy based local economic system; geothermal community

Online: 21 March 2024 (15:00:04 CET)

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Preprint ARTICLE | doi:10.20944/preprints202404.0828.v1

Gender Perspectives in Governance for Sustainable Development: A Case Study of Nature-Based Solutions for Water Management in Milan

Alessia Forciniti, Emma Zavarrone, Martha Friel

Subject: Social Sciences, Language And Linguistics Keywords: women’s empowerment; nature-based solutions; natural language processing; water management; network analysis

Online: 12 April 2024 (04:47:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0806.v1

The Impact of Forest Quality on Carbon Emission: A Study of China based on Environmental Kuznets Curve

Yuwen Zhang, Xiaolan Wu, Shengyuan Wang

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Forest quality; Environmental Kuznets Curve; Symbiotic System; Emission Reduction Pathway

Online: 10 September 2024 (11:13:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0051.v1

GPU-Based Acceleration of Metaphor-less Algorithms and Their Application for Solving Large Systems of Nonlinear Equations

Bruno Silva, Luiz Guerreiro Lopes

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: metaheuristic optimization; Jaya algorithm; Jaya variants; Rao algorithms; BWP algorithm; MaGI algorithm; parallel GPU algorithms; nonlinear equation systems

Online: 1 May 2024 (09:47:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0964.v1

Evaluation of Problem-Based Learning Experiences Addressed to Health Promotion in the Fourth Grade of Primary School

Beatriz Mederer-Hengstl, Pilar Núñez-Delgado, Aurora Bueno-Cavanillas

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Health Education; Healthy Habits; Healthy Diet; Active Learning Strategies; Problem-Based Learning; Instrumental Skills; Attitudinal Competences; Primary School.

Online: 15 April 2024 (11:33:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0269.v3

A Theory of Reasoned Action-Based Study Predicting Factors of Chronic back pain sufferers’ Physical Activity Behavior to Exercise

Mohammad Hossein Delshad, Alireza Hidarnia, Fatemeh Pourhaji

Subject: Social Sciences, Psychology Keywords: reasoned action; behavior; models; self-care

Online: 30 April 2024 (07:16:12 CEST)

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Background: Low-level physical activity (PA) among Chronic Low Back Pain (cLBP) is associated with various biopsychosocial factors. This research aimed to study the predictors of PA behavior among cLBP patients. Methods: In the present study 300 eligible patients with cLBP who referred to comprehensive health service centers in the Shahid Beheshti University of Medical Sciences (SBUMS) in Tehran, Iran were random selected.To diagnose the predictors of PA behavior, all the Theory of Reasoned Action (TRA) constructs were examined as risk factors to see if they influence on the probability of PA behavior occurrence and were interpreted through odds ratio (OR). SPSS version 19 was used to analyze the data. Results: Totally 280 cLBP patients with mean age of 57.07 ±13.09 years old participated in the study. This study showed that motivation to comply significant predictor the cLBP patients for subjective norm OR (%95CI): 2.095(0.116-2.792), p-value<0.001), intention was significant predictor for perform the PA behavior OR (%95CI): 1.431(0.138-1.538), p-value <0.001), behavior beliefs could predictor for attitude OR (%95CI): 1.276(0.106-1.355), p-value= 0.002). attitude, normative beliefs, subjective norm ,and evaluation outcome behavior could predictors the cLBP patients for intention to perform the PA behavior OR (%95CI): 1.188(0.032-1.312), p-value<0.001)., OR (%95CI): 1.158(0.076-2.208), p-value=0.003) ., OR (%95CI): 1.104(0.076-1.128), p-value<0.001) ., OR (%95CI): 0.814(0.301-1.440), p-value=0.007). Conclusions: This study showed that the cLBP patients who were normative beliefs and evaluation regarding PA behavior could effect on the intention to engage in greater PA than those via other constructs (attitude and subjective norm). This study showed that the cLBP patients who were normative beliefs and evaluation regarding PA behavior could effect on the intention to engage in greater PA than those via other constructs (attitude and subjective norm). This study showed that the cLBP patients who were normative beliefs and evaluation regarding PA behavior could effect on the intention to engage in greater PA than those via other constructs (attitude and subjective norm).

Preprint ARTICLE | doi:10.20944/preprints202409.0087.v1

Generalized Bayesian Inference Study Based on Type-II Censored Data from the Class of Exponential Distributions

Yahia Abdel-Aty, Mohamed Kayid, Ghadah Alomani

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: Generalized Bayesian estimators; generalized empirical Bayesian estimators; generalized Bayesian prediction; generalized empirical Bayesian prediction; learning rate parameter; prediction, type-II censored; Monte Carlo simulations

Online: 3 September 2024 (02:50:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1564.v1

A Non-parametric Approach-based Trade-off between Food System Efficiency and Robustness

Muna A. Al-Ansari, Hamad Nabeel, Galal M. Abdella, Tarek El Mekkawy, Adeeb A. Kutty

Subject: Engineering, Other Keywords: Data Envelopment Analysis (DEA); Food Systems Robustness; Food Security; Slacks Based Measure (SBM); Analytic Hierarchy Process (AHP)

Online: 24 April 2024 (03:43:17 CEST)

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Balancing the efficiency and robustness of food systems is a well-known trade-off process. Over-optimization of efficiency may lead to excessive use of resources. On the other hand, under-optimization of efficiency may lead to excessive waste of resources. Using non-parametric methods can help in developing actionable frameworks through which decision-makers and stakeholders can effectively balance and improve food systems' efficiency and robustness. Under this context, this paper presents a new structured approach integrating two well-suited non-parametric methods for analyzing and balancing the interconnection between the efficiency and robustness of food systems. This approach consists of three main steps. First, the slacks-based data envelopment analysis (SBM-DEA) is utilized to analyze the efficiency of five food robustness dimensions. Second, the weighted efficiency of these dimensions is computed and analyzed to provide an insight into their influence on the food system efficiency. Finally, two search methods were developed to identify opportunities for improving efficiency and robustness. The outcomes of these methods have been analyzed and validated to ensure their effectiveness and viability. The operational and mathematical properties of the proposed approach were evaluated using data from thirty-seven food-producing countries. The weights of the robustness dimensions in this study were determined using the analytic hierarchy process (AHP) method. The input matrix of the AHP was constructed using expert judgment and consultations with stakeholders. The results of this study have shown an appropriate level of applicability and effectiveness of the proposed approach. While the first search method provided valuable insights, the second method proved to be more effective in identifying the sources of inefficacy of robustness dimensions. Several conclusions have been drawn and reported with some recommendations for future research works.

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

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

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

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

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

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Preprint ARTICLE | doi:10.20944/preprints202308.1153.v1

Using TAM and Maslow’s Needs Theory to Evaluate the Intention of Adoption of Home-Based Intelligent Exercise System: The Example of Golf Croquet

Yu-Li Zhou, Chia-Li Chen, Shih-Jui Chang, And Bo-Sheng Wu

Subject: Social Sciences, Tourism, Leisure, Sport And Hospitality Keywords: Technology Acceptance Model, Maslow's Hierarchy of Needs, Golf Croquet, Mobile Applications, Companion Robot, AIoT, Senior

Online: 16 August 2023 (20:28:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1377.v1

Emergent Combining Factual Penile Girth Enhancement and Erection Restoration Based on Revolutionary Penile Fibro-vascular Assembly

Ko-Shih Chang, Cho-Hsing Chung, Yi-Kai Chang, Geng-Long Hsu, Mang-Hung Tsai, Jeff SC Chueh

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: factual penile enhancement; penile fibro-vascular assembly; penile venous stripping; veno-occlusive dysfunction; erection-related veins; deep dorsal vein; cavernosal vein

Online: 20 June 2024 (15:40:17 CEST)

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Preprint REVIEW | doi:10.20944/preprints202310.0387.v1

Applications and Market of Microorganism-Based and Plant-Based Inputs in Brazilian Agriculture

Cláudio Roberto Fonsêca Sousa Soares, Anabel González Hernández, Emanuela Pille Da Silva, Julia Emanuela Almeida De Souza, Danyella Fernandes Bonfim, Giovani Leone Zabot, Paulo Ademar Avelar Ferreira, Gustavo Brunetto

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Plant Growth-Promoting Microorganisms (PGPM); seeds inoculation; crop development; Biological and Biochemical Pesticides

Online: 9 October 2023 (09:29:31 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0728.v2

Design and Performance Analysis of a Novel Hollow Core-Based Photonic Crystal Fiber for Edible Oil Sensing in the Terahertz (THz) Regime

Jannatun Ferdous, Md. Abubakar Siddik, Dr. Md. Dulal Haque, Md. Selim Hossain, Mahafujur Rahman

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Photonic crystal fiber; Edible oil sensor; Sensitivity; Confinement loss, Effective material loss.

Online: 13 March 2024 (15:55:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.0360.v1

Research on Electric Vehicle Power Systems Based on Digital Twin Technology

Chong Li, Mei Jian Lei, Liangyi Yang, Wei Xu, Yong You

Subject: Engineering, Automotive Engineering Keywords: Digital twin; Powertrain system; Para model; Functional testing; Fault injection

Online: 4 September 2024 (11:23:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0530.v1

IoT Traffic Classification and Anomaly Detection Method based on Deep Autoencoders

Qi Xin, Zeqiu Xu, Linfeng Guo, Fanyi Zhao, Binbin Wu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: ; IoT; convolutional neural network, CNN; variational autoencoder, VAE; anomaly detection ;

Online: 8 July 2024 (02:56:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1871.v1

Modeling of Electrochemical Impedance of Fuel Cell Based on the Novel Nanocomposite Membrane

Mariia Zhyhailo, Iryna Yevchuk, Fedir Ivashchyshyn, Оksana Demchyna, Piotr Chabecki, Natalia Babkina, Tetiana Shantaliy

Subject: Chemistry And Materials Science, Electrochemistry Keywords: fuel cell; impedance spectroscopy; Nyquist diagram; SAXS; proton conductivity; composite membrane

Online: 29 April 2024 (10:34:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1408.v1

A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms

Burak Gulbay, Mehmet Demirci

Subject: Computer Science And Mathematics, Security Systems Keywords: cyber threat intelligence; CTI; advanced persistent threat; APT; graph algorithms; cybersecurity

Online: 17 July 2024 (10:17:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0581.v1

A Mathematical Model of Stochastic Synaptic Noise Dynamics Based Spontaneous Action Potential in Non-neural Cell

Chitaranjan Mahapatra, Inna Samuilik

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: excitable cells; synaptic conductance; background synaptic noise dynamics; mathematical modeling; action potential

Online: 11 March 2024 (21:17:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints201608.0010.v1

Static Formation Temperature Prediction Based on Bottom Hole Temperature

Changwei Liu, Youguang Chen, Lin Jia, Dong Ma, Kewen Li

Subject: Engineering, Energy And Fuel Technology Keywords: static formation temperature; shut-in time; least squares; PSO

Online: 2 August 2016 (05:42:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1706.v1

Insight into Romanian Wild-Grown Heracleum sphondylium: Development of a New Phytocarrier Based on Silver Nanoparticles with Antioxidant, Antimicrobial and Cytotoxicity Potential

Adina-Elena Segneanu, Gabriela Vlase, Titus Vlase, Ludovic Everard Bejenaru, George Dan Mogoşanu, Gabriela Buema, Maria Viorica Ciocîlteu, Cornelia Bejenaru

Subject: Biology And Life Sciences, Plant Sciences Keywords: Heracleum sphondylium; silver nanoparticles; phytocomplex; secondary metabolites; antioxidant potential; antimicrobial screening; in vitro cytotoxicity ;

Online: 27 August 2024 (02:12:13 CEST)

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Background: Heracleum sphondylium, a medicinal plant used in Romanian ethnopharmacology, proved to have a remarkable biological activity. The escalating concerns surrounding antimicrobial resistance led to a special attention to new efficient antimicrobial agents based on medicinal plants and nanotechnology. We report the preparation of a novel, simple phytocarrier that harnesses the bioactive properties of H. sphondylium and silver nanoparticles (HS-Ag system). Methods: The H. sphondylium low-metabolic profile was determined through gas chromatography–mass spectrometry and electrospray ionization–quadrupole time-of-flight–mass spectrometry. The morphostructural properties of the innovative phytocarrier were analyzed by X-ray diffraction, Fourier-transform infrared spectroscopy, Raman spectroscopy, dynamic light scattering, scanning electron microscopy, and energy-dispersive X-ray spectroscopy. The antioxidant activity was evaluated using total phenolic content, ferric reducing antioxidant power, and 2,2-diphenyl-1-picrylhydrazyl (DPPH) in vitro assays. The antimicrobial activity screening against Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeruginosa, and Escherichia coli was conducted using the agar well diffusion method. 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay estimated the in vitro potential cytotoxicity on normal human dermal fibroblasts (NHDF) and cervical cancer (HeLa) cells. Results: A total of 88 biomolecules were detected, such as terpenoids, flavonoids, phenolic acids, coumarins, phenylpropanoids, iridoids, amino acids, phytosterols, fatty acids. HS-Ag phytocarrier heightened efficacy in suppressing the growth of all tested bacterial strains compared to H. sphondylium and exhibited a significant inhibition of HeLa cell viability. Conclusions: The new HS-Ag phytocarrier system holds promise for a wide range of medical applications. The data confirms the capacity to augment pertinent theoretical understanding in the innovative field of antimicrobial agents.

Preprint ARTICLE | doi:10.20944/preprints202402.0452.v1

Mental Workload Modeling by Using Machine Learning Techniques Based on EEG and Eye Tracking Data

Şeniz Harputlu Aksu, Erman Çakıt, Metin Dağdeviren

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: EEG; eye tracking; mental workload; machine learning; neuroergonomics; prediction; NASA-TLX; N-back

Online: 8 February 2024 (00:02:27 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.1006.v1

The Usefulness of the Regression-Based Normed SKT Short Cognitive Performance Test in detecting Cognitive Impairment in a Community Sample

Mark Stemmler, Melina Arnold, Katya Numbers, Nicole A. Kochan, Perminder S. Sachdev, Henry Brodaty

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: cognitive assessment; regressions-based norming; dementia; MCI; sensitivity; specificity; Sydney Memory and Aging Study (MAS); short cognitive performance test (SKT)

Online: 14 August 2024 (03:42:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1742.v1

Quantitative Assessment and Impact Analysis of Land Surface Deformation in Wuxi Based on PS-InSAR and GARCH Model

Shengyi Zhang, Lichang Xu, Rujian Long, Le Chen, Shenghan Wang, Shaowei Ning, Fan Song, Linlin Zhang

Subject: Environmental And Earth Sciences, Environmental Science Keywords: PS-InSAR; Wuxi city; Surface volatility; Sentinel-1A; Groundwater level

Online: 29 March 2024 (05:28:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202406.0894.v1

Guided Transformation of Abandoned Hydrocarbon Fields into Heat Storage Solutions Using Enhanced MCDA-AHP Geostatical Based Method, Hungarian Case Study

Hawkar Ali Abdulhaq, János Geiger, István Vass, Tivadar M. Tóth, Tamás Medgyes, János Szanyi

Subject: Environmental And Earth Sciences, Other Keywords: ; geothermal energy; Aquifer Thermal Energy Storage (ATES); underground heat storage; hydrocarbon fields; Multi-Criteria Decision Analysis (MCDA); data modeling ;

Online: 13 June 2024 (05:55:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0729.v1

Hormonal Replacement Therapy Reduces the Severity of Climacteric Symptoms among BRCA Mutation Carriers Who Have Surgical Menopause While Mindfulness-Based Stress Reduction May Evoke Adverse Effects

Amira M. Ali, Saeed A. Al-Dossary, Carlos Laranjeira, Faten Amer, Souheil Hallit, Abdulmajeed A. Alkhamees, Aljawharah Fahad Aljubilah, Musheer A. Aljaberi, Ebtesam Abdullah Alzeiby, Hammad Ali Fadlalmola, Annamária Pakai, Haitham Khatatbeh

Subject: Medicine And Pharmacology, Complementary And Alternative Medicine Keywords: hormonal replacement therapy (HRT); mindfulness-based stress reduction (MBSR); Risk reducing salpingo-oophorectomy (RRSO); Breast Cancer Associated Susceptibility Protein Type 1/2 (BRCA1/2) mutations; Menopause rating scale (MRS); menopause/perimenopause/postmenopausal; psychological symptoms; physical activity/exercise; breast cancer

Online: 12 June 2024 (00:04:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.0841.v1

Research on Large Scene Adaptive Feature Extraction Based on Deep Learning

Yahe Yang, Iris Li, Ningjing Sang, Lipeng Liu, Xirui Tang, Qiyuan Tian

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: computing methodologies; artificial intelligence; computer vision; computer vision tasks; scene understanding

Online: 11 September 2024 (10:23:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0529.v1

Based on the Concept of Absolute Airspace Reference system A Further Discussion on the Physical Principle of the Time-Shift Effect of Special Relativity

Shandong Zhao, Yijia Zhao

Subject: Physical Sciences, Theoretical Physics Keywords: relativity theory; Space-time concept; Absolute airspace; space-time transformation ; effect

Online: 10 May 2024 (03:35:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.0865.v1

On the Unique Morphology and Elastic Properties of Multi-jet Electrospun Cashew Gum-Based Fiber Mats

Mattia Grumi, Cristina Prieto, Roselayne Ferro Furtado, H. N. Cheng, Atanu Biswas, Sara Limbo, Luís Cabedo, Jose M. Lagaron

Subject: Chemistry And Materials Science, Biomaterials Keywords: cashew gum; nanofibers; electrospinning

Online: 17 March 2024 (16:06:25 CET)

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Preprint REVIEW | doi:10.20944/preprints202307.0249.v1

Comparison between mullite-based and anorthite-based porcelain tiles: a review

Kun Li, Eloise Cordeiro, Agenor De Noni Junior

Subject: Chemistry And Materials Science, Ceramics And Composites Keywords: Porcelain tile; Mullite; Anorthite; Firing; Mechanical behavior

Online: 4 July 2023 (14:31:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0376.v1

QA-RAG: Leveraging Question and Answer-based Retrieved Chunk Re-Formatting for Improving Response Quality During Retrieval-augmented Generation

Kaushik Roy, Yuxin Zi, Chathurangi Shyalika, Renjith Prasad, Sidhaarth Murali, Vedant Palit, Amit Sheth

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Retrieval-augmented Generation; Information Retrieval; Large Language Models

Online: 4 July 2024 (14:19:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202009.0607.v1

Whey Proteins Characterization, Free Amino Acids Profile and Antimicrobial Study of Some Dairy Drinks based on Milk Serum

Doina Prodan, Miuța Filip, Mihaela Vlassa, Marioara Moldovan, Rahela Carpa, Viorica Tarmure, and Andreea Simona Popa

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: Milk Serum; whey proteins; RP-HPLC-UV; free amino acids; RP-HPLC-FLD; antimicrobial study

Online: 25 September 2020 (11:45:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1863.v1

Adjoint Solver-Based Analysis of Mouth-Tongue Morphologies on Vapor Deposition in the Upper Airway

Mohamed Talaat, Xiuhua Si, Jinxiang Xi

Subject: Engineering, Bioengineering Keywords: morphological effect; adjoint solver; shape sensitivity; computational fluid dynamics (CFD); mu-cus-tissue layer; vapor transport; wall absorption; Acetaldehyde; Benzene

Online: 29 March 2024 (13:16:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202405.1114.v1

A Step Towards CO₂ Sequestration through Mineral Carbonation: Using Ammonium Based Lixiviants for the Dissolution of Calcium from Iron Making Blast Furnace Slag

Itumeleng C. Kohitlhetse, Malibongwe Shadrach Manono, Catherine K. Motsetse, Peter M. Mendonidis

Subject: Engineering, Metallurgy And Metallurgical Engineering Keywords: Ammonium Lixiviants; Calcium Mineral; CO2 Sequestration; Ironmaking Slag

Online: 16 May 2024 (17:22:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0512.v1

Evidence On Viral Suppression Supports Scaling-Up Transition To Dolutegravir-Based Regimens In Pediatric Populations In Cameroon: A Multicentre Baseline Assessment For The Cipher-Adola Study

Joseph FOKAM, Yagai Bouba, Rogers Awoh Ajeh, Dominik Tameza Guebiapsi, Suzane Essamba, Albert Franck Zeh Meka, Ebiama Lifanda, Rose Armelle Ada, Yakouba Liman, Nancy Barbara Mbengono, Audrey Raissa Dzaddi Djomo, Suzie Ndiang Tetang, Samuel Martin Sosso, Jocelyne Carmen Babodo, Olivia Francette Ndomo Ambomo, Edith Michele Temgoua, Caroline Medouane, Sabine Ndejo Atsinkou, Justin Leonel Mvogo, Roger Martin Onana, Jean de Dieu Anoubissi, Alice Ketchaji, Alex Durand Nka, Davy-Hyacinthe Anguechia Gouissi, Aude Christelle Ka’e, Nadine Nguendjoung Fainguem, Rachel Simo Kamgaing, Désiré Augustin Komego Takou, Michel Carlos Tommo Tchouaket, Ezechiel Ngoufack Jagni Semengue, Marie Atsama Amougou, Julius Nwobegahay, Comfort Vuchas, Anna Nya Nsimen, Bertrand Bille Eyoum, Sandra kenmegne Gatchuessi, Francis Ndongo Ateba, Daniel Kesseng, Serge Clotaire Billong, Daniele Armenia, Maria Mercedes Santoro, Francesca Ceccherini-Silberstein, Paul Ndombo Koki, Hadja Cherif Hamsatou, Vittorio Colizzi, Alexis Ndjolo, Carlo Federico Perno, Anne-Cécile Zoung-Kanyi Bissek

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Virological suppression; low level viremia; children, adolescents, and young-adults; DTG-based regimen; elimination of paediatric AIDS; Cameroon.

Online: 5 July 2024 (12:31:56 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202405.0312.v1

Mineral Identification based on Out-Of-Distribution Detection

Xiaohui Ji, Kaiwen Liang, Yang Yang, Mei Yang, Mingyue He, Zhaochong Zhang, Shan Zeng, Yuzhu Wang

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: mineral identification; deep learning; out-of-distribution detection; one-class support vector machines (OCSVM); ResNet

Online: 7 May 2024 (02:24:40 CEST)

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