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Preprint ARTICLE | doi:10.20944/preprints202306.0731.v1

The Effect of Drotaverine on Gastrointestinal Motility and Heart Rate Variability in Normal, Resting Horses

Alina Anton

Subject: Animal Science, Veterinary Science And Zoology, Biology And Life Sciences Keywords: antispasmodic; heart rate variability; intestinal function; parasympathetic activity

Online: 9 June 2023 (15:50:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0083.v3

Detection of Mutations and Genotyping of Drug-Resistant Mycobacterium tuberculosis Strains Isolated from Patients in Rural Eastern Cape Province

Lindiwe Modest Faye, Robin Warren, Sandeep Vasaikar, Mojisola C. Hosu, Ncomeka Sineke, Selien Oostvogels, Anzaan Dippenaar, Teke Apalata

Subject: Epidemiology And Infectious Diseases, Medicine And Pharmacology Keywords: drug-resistant TB; heteroresistance; mutations; spoligotyping

Online: 9 June 2023 (15:36:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0730.v1

Achieving Assessment Equity and Fairness: Identifying and Eliminating Bias in Assessment Tools and Practices

Mohamad Ahmad Saleem Khasawneh, Yusra Jadallah Abed Khasawneh

Subject: Education, Social Sciences Keywords: Assessment; Equity; Bias

Online: 9 June 2023 (15:29:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0729.v1

Incidence of Mycotoxin in Algerian Workers

Marta Isabel Mendes, Sara Cristina Cunha, Iméne Rebai, José Oliveira Fernandes

Subject: Public, Environmental And Occupational Health, Public Health And Healthcare Keywords: Multiple mycotoxin analysis; Urine biomonitoring; Exposure assessment

Online: 9 June 2023 (14:52:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0728.v1

Hydraulic Planning in Insular Urban Territories: The Case of Madeira Island—Ribeira Brava, Tabua

Sérgio Lousada, Raul Alves, Mário Fernandes, Leonardo Gonçalves

Subject: Civil Engineering, Engineering Keywords: hydraulics; hydrology; insular territories; spatial analysis; territorial management; urban planning

Online: 9 June 2023 (14:24:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0727.v1

Evaluating Underwater Light Availability for Phytoplankton: Mean Light Intensity in the Mixed Layer versus Attenuation Coefficient

Rita B. Domingues, Ana B. Barbosa

Subject: Aquatic Science, Biology And Life Sciences Keywords: phytoplankton; light measurements; light limitation; coastal ecosystems

Online: 9 June 2023 (14:08:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0487.v2

The Impact of Tourism Promotion at Andalusian Eight Provinces

Lázaro Florido-Benítez

Subject: Business And Management, Business, Economics And Management Keywords: Tourism promotion budget; Andalusia location; hotels; aiports; tourists; passenger arrivals; overnight stays

Online: 9 June 2023 (13:31:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0833.v3

On the Applicability of Quantum Machine Learning

Sebastian Raubitzek, Kevin Mallinger

Subject: Artificial Intelligence And Machine Learning, Computer Science And Mathematics Keywords: quantum machine learning; Variational Quantum Circuit; Quantum Kernel Estimator; Qiskit; Ridge; Lasso; XGBoost; LightGBM; CatBoost; classification; quantum computing; boost classifiers; neural networks

Online: 9 June 2023 (13:27:01 CEST)

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In this article, we investigate the applicability of quantum machine learning for classification tasks using two quantum classifiers from the Qiskit Python environment: the Variational Quantum Classifier (VQC) and the Quantum Kernel Estimator (QKE). We evaluate the performance of these classifiers on six widely known and publicly available benchmark datasets and analyze how their performance varies with the number of samples on two artificially generated test classification datasets. As quantum machine learning is based on unitary transformations, this paper explores data structures and application fields that could be particularly suitable for quantum advantages. Hereby, we developed a data set based on concepts from quantum mechanics using the exponential map of a Lie algebra. This dataset will be made publicly available and contributes a novel contribution to the empirical evaluation of quantum supremacy. We further compared the performance of VQC and QKE on six widely applicable datasets to contextualize our results.\\ Our results demonstrate that the VQC and QKE perform better than basic machine learning algorithms such as advanced linear regression models (Ridge and Lasso). They do not match the accuracy and runtime performance of sophisticated modern boosting classifiers like XGBoost, LightGBM, or CatBoost. Therefore, we conclude that while quantum machine learning algorithms have the potential to surpass classical machine learning methods in the future, especially when physical quantum infrastructure becomes widely available, they currently lag behind classical approaches. Our investigations also show that classical machine learning approaches have superior performance classifying datasets based on group structures, compared to quantum approaches that particularly use unitary processes.\\ Furthermore, our findings highlight the significant impact of different quantum simulators, feature maps, and quantum circuits on the performance of the employed quantum estimators. This observation emphasizes the need for researchers to provide detailed explanations of their hyperparameter choices for quantum machine learning algorithms, as this aspect is currently overlooked in many studies within the field.\\ To facilitate further research in this area and ensure the transparency of our study, we have made the complete code available in a linked GitHub repository.

Preprint REVIEW | doi:10.20944/preprints202306.0726.v1

Water Resources Management under Climate Change: A Review

Marzia Ciampittiello, Aldo Marchetto, Angela Boggero

Subject: Waste Management And Disposal, Environmental And Earth Sciences Keywords: Climate change; integrated water research management; water resources; nature based solutions; groundwater management

Online: 9 June 2023 (13:17:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0725.v1

An Accurate Estimation of the Energy Cost of Dynamic Branch Prediction in an Intel High-Performance Processor

Fahad Swilim Alqurashi, Muhammad Al-Hashimi

Subject: Computer Science, Computer Science And Mathematics Keywords: Dynamic Branch Predictor; Power Efficiency; Energy; HPC; RAPL; microbenchmarks

Online: 9 June 2023 (13:16:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0724.v1

Field Performance Monitoring of Energy-Generating High-Transparency Agrivoltaic Glass Windows

Mikhail Vasiliev, Victor Rosenberg, Jamie Lyford, David Goodfield

Subject: Applied Physics, Physical Sciences Keywords: building-integrated photovoltaics; solar windows; agrivoltaics; renewable energy

Online: 9 June 2023 (13:10:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0723.v1

Penicillin G and Sutherlandia Frutescens [syn. Lessertia frutescens] (Fabaceae): A Potent Combo Against Enterococcus Faecalis

Nhlanhla Wiseman Nsele, Nokukhanya Thembane

Subject: Complementary And Alternative Medicine, Medicine And Pharmacology Keywords: Synergistic effect; Antibiotic resistance; Medicinal Plants; Penicillin G; Sutherlandia Frutescens; Microbial sensitivity tests; Drug combinations

Online: 9 June 2023 (13:09:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0722.v1

Asymmetric Effects of Energy Management Variables on the Economic Growth of the European Union (2010-2019)

László Török

Subject: Economics, Business, Economics And Management Keywords: economic growth, energy economics, independent energy variables, PLS-PM analysis, asymmetric effect

Online: 9 June 2023 (13:02:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0721.v1

Establishing the Durability and Reliability of a Dental Bur Based on the Wear

Ilie Filip, Ioan Alexandru Saracin

Subject: Control And Systems Engineering, Engineering Keywords: Dental bur; Dental material; Durability; Polynomial interpolation; Reliability; Wear

Online: 9 June 2023 (12:56:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0720.v1

Analysis of Rigid-Flexible Coupling Characteristics of Pneumatic Modular Soft Joints with Variable Stiffness

Siyuan Liu, Yuhang Bian, Chao AI, Hongmei Sun, Yijie Deng, Zilong Chen, Xiaorui Chen, Jingtao Zhang

Subject: Mechanical Engineering, Engineering Keywords: variable stiffness; soft robot; rigid-flexible coupling; modularization; soft actuator

Online: 9 June 2023 (12:46:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0719.v1

CU(II)/Polydopamine-Modified Glass Fiber Separators Towards High-Performance Zinc-Ion Batteries

Fengcan Ma, Kaixuan Xie, Siheng Wu, Chi Zhang, Xiaodie Liao, Qinghong Wang

Subject: Materials Science And Technology, Chemistry And Materials Science Keywords: aqueous zinc ion batteries; separator; modification

Online: 9 June 2023 (12:39:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0718.v1

3D Analysis of the Upper and Lower Arches Using Digital Technology: Measurement of the Index of Bolton and Correspondence between Arch Shape and Orthodontic Arches

Marco Pasini, Elisabetta Carli, Federico Giambastiani, Maria Rita Giuca, Domenico Tripodi

Subject: Dentistry And Oral Surgery, Medicine And Pharmacology Keywords: digital models; Bolton index; orthodontics CAD Software; extra-oral scanner

Online: 9 June 2023 (12:37:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0717.v1

A Study of Greek Graviera Cheese by NMR-Based Metabolomics

Apostolos Spyros, Evangelia Ralli

Subject: Food Chemistry, Chemistry And Materials Science Keywords: graviera cheese; NMR spectroscopy; metabolomics; fatty acids; metabolite profile; aminoacids; multivariate analysis

Online: 9 June 2023 (12:34:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0716.v1

Analysis of Optimal Source and Application Timing of Nitrogen Fertilizers in Various Soil Types to Minimize Environmental Impacts Caused by Nitrate Leaching

Saeed Sharafi

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Grain yield; N fertilizer; Nitrate leaching; Protein percentage; Wheat

Online: 9 June 2023 (12:16:08 CEST)

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The use of nitrogen (N) fertilizers can have detrimental effects on the environment due to nitrate leaching. This study aims to examine the impact of N fertilizer source and application timing on wheat yield and nitrate leaching in various soil textures. A randomized complete block design (RCBD) was employed to conduct the experiment. The treatments consisted of two N fertilizer sources: ammonium nitrate (AN) and urea (NN), applied at three different times throughout the year, with a control treatment. The three application timings were total application before sowing (T₁), total application in spring (T₂), and half the amount before sowing and the other half in spring (T₃). The experiment was conducted in three different soil textures (sandy loam, silty clay loam, and silty clay), with three replications over three growing seasons: 2018-19 (Y₁), 2019-20 (Y₂), and 2020-21 (Y₃). The results indicated significant effects of different soil textures on grain yield. Specifically, the silty clay loam soil differed significantly from the sandy loam and silty clay soils in terms of grain yield. The interaction effects between the N fertilizer source and application timing were also found to be significant for all soil textures (p<0.01). In sandy loam and silty clay soils, the grain yield increased when using the T₃ application timing compared to the silty clay loam soil. Notably, the silty clay loam soil with the T₂ application timing exhibited the highest grain yield, with a yield of 6863.6 kg ha^-1. Furthermore, the study revealed that N fertilizers and their application timing significantly influenced the protein content in the silty clay and sandy loam soils. The protein percentages were 10.76 and 10.93 for the silty clay and sandy loam soils, respectively, following the T₂ treatment. Additionally, ammonium nitrate (AN) demonstrated a noticeable effect on the percentage of grain protein compared to urea (NN). In conclusion, the application timing of N fertilizers had an impact on grain yield and protein content in different soil textures. Moreover, nitrate concentration increased throughout the experiment, with the highest soil nitrate concentration observed in both fertilizer treatments, particularly in the sandy loam soil.

Preprint REVIEW | doi:10.20944/preprints202306.0715.v1

Structural Diversity and Carbohydrate-Recognition Mechanisms of Marine Animal Lectins

Tomomitsu Hatakeyama, Hideaki Unno

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: lectin; carbohydrate; marine animal; toxin; pore-forming protein; innate immunity

Online: 9 June 2023 (12:12:43 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202306.0714.v1

Medico-legal Pitfall in Adenoid Cystic Carcinoma of the External Auditory Canal

Nunzio Di Nunno, Clara Rizzardi, Giuseppe Cocimano, Massimiliano Esposito, Salvatore Roccuzzo, Edmondo Scoto, Franco Silvestris

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: adenoideocystic carcinoma; tumours of the external auditory meatus; medical liability; forensic sciences

Online: 9 June 2023 (11:59:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0713.v1

ClimInonda a Web Application for Management the Climate Da-Ta: Case Study of the Flooding Risk in Bayech Transboundary Basin

Zaineb Ali, Amine Saddik, Brahim Erraha, Adnane Labbaci, Mohamed Ouessar

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Web application; climate data; weather station; ClimInonda

Online: 9 June 2023 (11:51:39 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0712.v1

Alogrithms for the ACD Problem and Cryptanalysis of ACD-based FHE schemes, Revisited

Yinxia Ran, Yun Pan, Licheng Wang

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: Approximate common divisors; Fully homomorphic encryption; lattice attack; orthogonal lattice

Online: 9 June 2023 (11:40:26 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0711.v1

Reviewing Regulations and Standards for Second-Life Batteries

Carlos Antônio Rufino Júnior, Eleonora Riva Sanseverino, Pierluigi Gallo, Daniel Koch, Yash Kotak, Hans-Georg Schweiger, Hudson Zanin

Subject: Engineering, Electrical And Electronic Engineering Keywords: Second use; Reuse; Lithium-Ion Batteries; Second-Life Batteries; Standards; Technical Standards; Regulations; Legislation; Circular Economy.

Online: 9 June 2023 (11:29:36 CEST)

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The transportation sector significantly contributes to greenhouse gas emissions, thus imposing sig-nificant environmental hazards. In response, many nations have begun promoting Electric Vehicles (EVs) as an ecologically sustainable substitute for traditional combustion vehicles. Lithium-Ion Batteries (LIBs), characterized by their high energy density, extended lifespan, and relatively low self-discharge rate, have become the suitable energy storage system for EVs, advancing the field of sustainable transportation. The decreasing cost of LIB production has primarily driven this progression, realized through a combination of economies of scale, advancements in electrode materials and cell design, and re-finements in manufacturing processes. All these elements collectively contribute to the cost reduc-tion of LIBs. A foreseeable implication of this trend is an expected surge in LIBs that will exhaust their operational lifespan and, consequently, be cast away into the environment. One mitigating strategy for this impending environmental issue involves collecting these spent EV batteries, re-configuring them, and repurposing them for applications with less rigorous weight, performance, and size prerequisites. This approach would not only prolong the utility life of the batteries but also ameliorate their environmental impacts. Nevertheless, second-life batteries are anticipated to exhibit a higher rate of gas evolution, necessitating comprehensive testing and readjustments to ensure safe operation in secondary ap-plications. The regulatory framework encompassing the second-life battery sector still needs to be defined regarding norms, technical standards, and legislation. This paper aims to elucidate the primary regulations and technical standards proposed thus far in the second-life battery marketplace. The results underscore the exigency for neutral evaluative entities, such as universities, research centers, and governmental institutions, to perform an unbi-ased assessment of the second-life battery market. This would pave the way for novel technical standards and legislative measures specifically tailored to this emerging sector.

Preprint ARTICLE | doi:10.20944/preprints202306.0710.v1

Enhancing Decomposition Approach for Solving Multi-Objective Dynamic Non-Linear Programming Problems Involving Fuzziness

Pavan Kumar, Hamiden Abd El-Wahed Khalifa

Subject: Computer Science And Mathematics, Mathematics Keywords: Optimization problem Multi-objective optimization problems; Dynamic non-linear programming; Fuzzy set; Piecewise quadratic fuzzy numbers; Close interval approximation; α-pareto optimal solution; Decision- making; Stability

Online: 9 June 2023 (11:28:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0709.v1

Morphological Characteristics of Elite International Soccer Referees: Somatotype and Bioelectrical Impedance Vector Analysis

Pascal Izzicupo, Cristian Petri, Sofia Serafini, Giorgio Galanti, Gabriele Mascherini

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: soccer referees; body composition; somatotype; tolerance ellipses; DXA; BIA vector

Online: 9 June 2023 (11:19:08 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202306.0708.v1

Geological Mapping of Grib Kimberlite Pipe Using 3D Magnetization Vector Inversion From Airborne Data

Vladislav Kaminski, Valeriya Nabieva, Alexander Frolov, Inna Shalovenkova, Alexander Davydenko

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: airborne geophysics; magnetometry; remote sensing; MVI inversion; QDIK inversion; remanent magnetization

Online: 9 June 2023 (11:17:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0707.v1

Bio-Induced Healing of Cement Mortars in Demineralized and in Danube Water: CNN Model for Image Classification

Jasmina Nešković, Ivana Jovanović, Siniša Markov, Snežana Vučetić, Jonjaua Ranogajec, Milan Trumić

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: granulated blast furnace slag, Sporosarcina pasteurii DSM 33, bio-stimulated healing, Danube water, CNN model

Online: 9 June 2023 (11:10:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0706.v1

Social and Environmental Determinants of Diarrheal Diseases among Children Under Five Years in Epworth Township, Harare

Sandra Chari, Thokozani Patrick Mbonane, Renay Helouise Van Wyk

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: social determinant; environmental determinants; diarrheal diseases; children; low- and middle-income country

Online: 9 June 2023 (11:07:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0705.v1

Phenology-Based Winter Wheat Classification for Crop Growth Monitoring Using Multi-Temporal Sentinel-2 Satellite Data

Solomon W Newete

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Phenology; Tillering; Random Forest; Crop type; Clustering, Unsupervised classification

Online: 9 June 2023 (11:04:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0670.v1

Coronary Vascular (DYS)Function and Invasive Physiology Assessment: Insights of Bolus and Continuous Thermodilution Methods

Matteo Maurina, Alice Benedetti, Giulio Stefanini, Gianluigi Condorelli, Carlos Collet, Carlo Zivelonghi, Smits Peter, Paradies Valeria

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: ANOCA; INOCA; MINOCA; vasospastic angina; microvascular angina; coronary microvascular dysfunction; bolus thermodilution method; continuous thermodilution method

Online: 9 June 2023 (10:57:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0704.v1

Effect of Immobilized Pediococcus acidilactici ORE5 Cells on Pistachio Nuts on Functional Regulation of Novel Katiki Domokou-type Cheese Microbiome

Chrysa Pavlatou, Anastasios Nikolaou, Ioanna Prapa, Konstantinos Tegopoulos, Stavros Plessas, Maria E. Grigoriou, Eugenia Bezirtzoglou, Yiannis Kourkoutas

Subject: Biology And Life Sciences, Food Science And Technology Keywords: Pediococcus acidilactici ORE5; Katiki Domokou cheese; probiotic fortification; biopreservation

Online: 9 June 2023 (10:57:07 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202306.0655.v1

The Concept of Freedom in Bakunin's Anarchist Thought and Its Relevance in the Context of Future Space Travel and Exploration

Luca Tonietti

Subject: Physical Sciences, Space Science Keywords: Bakunin; Anarchism; Space Exploration; Freedom; Space Travel

Online: 9 June 2023 (10:55:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0703.v1

Food Safety Knowledge, Attitude and Practices of Food Handlers in Restaurants in the Maldives

Sarina Abdul Halim-Lim, Khalisa Mohamed, Firdaus Muhammad Sukki, Wahyudi David, Ungku Fatimah Ungku Zainal Abidin, Adi Ainurzaman Jamaludin

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: food safety; knowledge-attitude-practice; food security; food handlers; training; Maldives; observation

Online: 9 June 2023 (10:50:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0702.v1

Has the Problem of the Motion of a Heavy Symmetric Top Been Solved in Quadratures?

Alexei A. Deriglazov

Subject: Physical Sciences, Mathematical Physics Keywords: Integrability; Lagrange top; Hamiltonian systems; Liouville's theorem

Online: 9 June 2023 (10:42:38 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202306.0701.v1

Nf-κβ Inhibitor – Dehydroxymethylepoxyquinomicin Reduces Iron Iso-Maltoside Toxicity Towards Peritoneal Mesothelial Cells

Andrzej Breborowicz, Kazuo Umezawa

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Iron isomaltoside; NF-kappaBeta; dehydroxymethyepoxyquinmicin (DHMEQ); mesothelial cells

Online: 9 June 2023 (10:37:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0700.v1

Numerical Simulation and Experiment of Stress Relief and Processing Deformation of 2219 Aluminum Alloy Ring

Bianhong Li, Yushuang Dong, Wu Ouyang, Hanjun Gao

Subject: Engineering, Mechanical Engineering Keywords: residual stress; thermal-vibration stress relief; 2219 aluminum alloy ring; numerical simulation

Online: 9 June 2023 (10:28:55 CEST)

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Large aluminum alloy ring forgings are the core components of heavy-duty rocket fuel storage tanks, and the large residual stress inside the rings leads to poor shape accuracy of large thin-walled parts. The initial stress of the 2219 aluminum alloy ring blank was tested using the drilling method, and the creep constitutive coefficient of the 2219 aluminum alloy was determined through stress relaxation tests. The numerical simulation processes of thermal stress relief (TSR), vibration stress relief (VSR), and thermal-vibration stress relief (TVSR) were compared and established. Through the correlation analysis between the actual measurement results of residual stress and the simulation results, it can be seen that the strong correlation in three directions at each measurement point accounts for over 37.5%, and the moderate correlation accounts for over 62.5%. This indicates that the numerical simulation model of 2219 aluminum alloy ring containing initial residual stress can accurately reflect the size and distribution of residual stress inside the actual ring. The simulation results show that the derived constitutive model can describe the stress relaxation process of TVSR by combining a single thermal time effect stress relaxation constitutive theory with a VSR plastic deformation material model. The simulation models established above were used to calculate the residual stress homogenization ability of three types of aging. The results showed that VSR, TSR, and TVSR can homogenize and reduce the residual stress field inside the ring, improve the distribution of residual stress inside the ring, and have a better overall homogenization ability of TVSR. The VSR control has a certain effect on reducing and homogenizing residual stress, but compared with TSR and TVSR, the reduction and homogenization ability of residual stress control is limited. The homogenization control effect TVSR>TSR>VSR, and the maximum equivalent stress homogenization rates of VSR, TSR, and TVSR are 52.8%, 80.6%, and 82.2%, respectively. Then, numerical simulation technology is used to study how the initial residual stress in the blank will cause the deformation of the ring during the thin-walled machining process. The roundness error theory of the minimum containment area method is applied to evaluate the deformation degree during the thin-walled numerical machining process, and the TVSR method is used for stress regulation. The deformation law of the thin-walled machining of the ring under different aging parameters is studied.

Preprint ARTICLE | doi:10.20944/preprints202306.0699.v1

Unleashing the Ligno-Hemicellulolytic Enzyme Potential of Pyrenophora phaeocomes S-1: A Solid State Fermentation Approach for Efficient Delignification of Corn Stover

Shubhangi Rastogi, Raman Soni, Apurav Sharma, Sanjeev Kumar Soni

Subject: Biology And Life Sciences, Life Sciences Keywords: Biological pretreatment; Ligno-hemicellulolytic enzymes; Corn stover; Enzymatic hydrolysis; Pyrenophora phaeocomes S-1

Online: 9 June 2023 (10:28:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0698.v1

Double Skin Façades for Building Retrofitting and Climate Change: a Case Study in Central Italy

Camilla Lops, Samantha Di Loreto, Mariano Pierantozzi, Sergio Montelpare

Subject: Engineering, Civil Engineering Keywords: Building energy retrofitting; Double Skin Façades; climate change; regional climate model; dynamic energy modelling; MM5; CORDEX.

Online: 9 June 2023 (10:12:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0685.v1

Ramsey Theory and Transformations of Coordinate Systems

Mark Frenkel, Shraga Shoval, Edward Bormashenko

Subject: Computer Science And Mathematics, Discrete Mathematics And Combinatorics Keywords: Ramsey theory; pairs of points; slope; complete graph; symmetry; inverse graph.

Online: 9 June 2023 (09:48:51 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0683.v1

Breaking New Ground: Exploring the Promising Role of Solid-State Fermentation in Harnessing Natural Biostimulants for Sustainable Agriculture

Roberto Carlos Solano Porras, Adriana Artola, Raquel Barrena, Golafarin Ghoreishi, Cindy Ballardo Matos, Antoni Sánchez

Subject: Engineering, Bioengineering Keywords: Natural biostimulant; Solid-state fermentation; Organic waste; Sustainable agriculture; crop improvement

Online: 9 June 2023 (09:46:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0697.v1

Organizational Resilience from a Marketing Perspective: A Conceptual Framework

Roger Halaby, Khalil Rahi, And Nehme Azoury

Subject: Business, Economics And Management, Marketing Keywords: Marketing Strategies; Adoption; diffusion; organizational resilience; social platforms; products; services

Online: 9 June 2023 (09:41:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0696.v1

Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22

Sikha S Bagui, Dustin Mink, Subhash C Bagui, Michael Plain, Jadarius Hill, Marshall Elam

Subject: Computer Science And Mathematics, Other Keywords: Graph databases; Data Visualization; MITRE ATT&CK Tactics; Star Motif; Clique Motif; Reconnaissance Tactic

Online: 9 June 2023 (09:34:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0695.v1

Autophagy Inhibition via Hydroxychloroquine or 3-Methyladenine Enhances Chemotherapy-Induced Apoptosis in Neuro-blastoma and Glioblastoma

Darcy Wear, Eesha Bhagirath, Arpana Balchandar, Caleb Vegh, Siyaram Pandey

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Autophagy; Cancer; Chemotherapy; Homeostasis; Hydroxychloroquine; Mitochondria; Oxidative Stress; Rapamycin; Therapeutics

Online: 9 June 2023 (09:31:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0694.v1

The Drivers of Successful Crowdfunding Projects in Africa during the COVID-19 Pandemic

Lenny Phulong Mamaro, Athenia Bongani Sibindi

Subject: Business, Economics And Management, Finance Keywords: Crowdfunding; COVID-19 pandemic; financing; access to finance

Online: 9 June 2023 (09:26:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0693.v1

Characterization of Flow Parameters in Shale Nano-Porous Media Using Pore Network Model: A Field Example from Shale Oil Reservoir in Songliao Basin, China

Qingzhen Wang, Zhihao Jia, Linsong Cheng, Binhui Li, Pin Jia, Yubo Lan, Dapeng Dong, Fangchun Qu

Subject: Engineering, Energy And Fuel Technology Keywords: Shale oil reservoir; Flow parameters in porous media; FIB-SEM experiment; Pore network model (PNM); Quasi-static flow

Online: 9 June 2023 (09:22:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0692.v1

Gastroplus and HSPiP Oriented Predictive Parameters as the Basis of Valproic Acid Loaded Mucoadhesive Cationic Nanoemulsion Gel for Improved Nose-To-Brain Delivery to Control Convulsion in Human

Afzal Hussain, Mohammad A. Altamimi, Mohd Aamir Mirza, Mohhammad Ramzan, Tahir Khuroo

Subject: Medicine And Pharmacology, Pharmacy Keywords: Valproic acid; GastroPlus based prediction; Cationic nanoemulsion; Gels; In vitro– ex vivo permeation profile; CLSM study

Online: 9 June 2023 (09:20:55 CEST)

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Oral and parenteral delivery of first-line anticonvulsant Valproic cid (VA) are associated with serious adverse effects, high hepatic metabolism, high clearance, and low bioavailability in brain. GastroPlus program was used to predict in vivo performance of immediate (IR) and sustained release (SR) products in human. HSPiP software predicted excipients with maximum possible miscibility of the drug. Based on GastroPlus and HSPiP program, various excipients were screened for experimental solubility study and prepared cationic nanoemulsions and respective gels for nasal to brain delivery. These were characterised for size, size distribution, polydispersity index, zeta potential, morphology, pH, % transmittance, drug content, and viscosity. In vitro drug release, ex vivo permeation profile (goat nasal mucosa), and penetration studies were conducted. Result showed that in-vivo oral drug dissolution and absorption were predicted as 98.6 mg and 18.8 mg, respectively from both tablets (IR and SR) at 8 h using GastroPlus. The drug access to the portal vein was relatively predicted high in IR (115 mg) as compared to SR (82.6 mg). Plasma drug concentration-time profile predicted was in good agreement with published reports. The program predicted duodenum and jejunum as the prime site of drug absorption and no effect of nanonization on Tmax for sustained release formulation. Hansen parameters suggested suitable selection of excipients. The program recommended for nasal to brain delivery of the drug using cationic mucoadhesive product. The optimized stable CVE6 was associated with optimal size (113 nm), low PDI (0.26), high zeta potential (+34.7 mV), high transmittance (97.8%), and high strength (0.7 %w/w). In vitro release and ex vivo permeation of CVE6 were found to be substantially high as compared to anionic AVE6 and respective gels. Penetration study executed high fluorescence intensity with CVE6 and CVE6-gel as compared to suspension and ANE6 which may be attributed to electrostatic interaction between mucosal membrane and nanoglobules. Thus, cationic nanoemulsion and respective mucoadhesive gel are promising strategy for delivery of VA to brain through intransal administration for the treatment of seizure and convulsion.

Preprint ARTICLE | doi:10.20944/preprints202306.0691.v1

MtTGA1 Transcription Factor Enhances Salt Tolerance through Hormonal Regulation and Antioxidant Enzyme Activity in Medicago truncatula

Li Shuwen, Xie Hong, Chen Yinglong, Jia Wei, Dong Di, Wang MengDi, Zhang Tiejun, Han Liebao, Chao Yuehui

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Root length; MtTGA1; Antioxidant Enzyme; hormones; salt stress

Online: 9 June 2023 (09:18:28 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0690.v1

The Spectrum of Hyperferritinemic Syndromes

Marilena Stoian, Gabriel Scarlat

Subject: Medicine And Pharmacology, Internal Medicine Keywords: hyperferritinemic syndrome; hyperinflammatory state; hypercitokinemia; immunosupression

Online: 9 June 2023 (09:10:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0139.v2

Epitopological Sparse Ultra-Deep Learning: A Brain-Network Topological Theory Carves Communities in Sparse and Percolated Hyperbolic ANNs

Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: sparse training; neural networks; link prediction; network automata; Cannistraci-Hebb; epitopological learning

Online: 9 June 2023 (08:57:55 CEST)

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Sparse training (ST) aims to improve deep learning by replacing fully connected artificial neural networks (ANNs) with sparse ones, akin to the structure of brain networks. Therefore, it might benefit to borrow brain-inspired learning paradigms from complex network intelligence theory. Epitopological learning (EL) is a field of network science that studies how to implement learning on networks by changing the shape of their connectivity structure (epitopological plasticity). One way to implement EL is via link prediction: predicting the existence likelihood of nonobserved links in a network. Cannistraci-Hebb (CH) learning theory inspired the CH3-L3 network automata rule for link prediction which is effective for generalpurpose link prediction. Here, starting from CH3-L3 we propose Epitopological Sparse Ultra-deep Learning (ESUL) to apply EL into sparse training. In empirical experiments, we find that ESUL learns ANNs with sparse hyperbolic topology in which emerges a community layer organization that is ultra-deep (meaning that also each layer has an internal depth due to power-law node hierarchy). Furthermore, we discover that ESUL automatically sparse the neurons during training (arriving even to 30% neurons left in hidden layers), this process of node dynamic removal is called percolation. Then we design CH training (CHT), a training methodology that put ESUL at its heart, with the aim to enhance prediction performance. CHT consists of 4 parts: (i) correlated sparse topological initialization (CSTI), to initialize the network with a hierarchical topology; (ii) sparse weighting initialization (SWI), to tailor weights initialization to a sparse topology; (iii) ESUL, to shape the ANN topology during training; (iv) early stop with weight refinement, to tune only weights once the topology reaches stability. We conduct experiments on 6 datasets and 3 network structures (MLPs, VGG16, Transformer) comparing CHT to sparse training SOTA method and fully connected network. By significantly reducing the node size while retaining performance, CHT represents the first example of parsimony sparse training.

Preprint ARTICLE | doi:10.20944/preprints202306.0689.v1

Chemical Differentiation and Quantitative Analysis of Black Ginseng Based on a LC-MS Combined with Multivariate Statistical Analysis Approach

Lele Li, Zhixia Chang, Keyu Wei, Yi Tang, Zhao Chen, Hongli Zhang, Yang Wang, Bo Feng, Heyun Zhu

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: Black ginseng; Ginsenosides; UPLC-Q-TOF/MS; processing; multivariate statistical analysis

Online: 9 June 2023 (08:43:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0687.v1

Electromagnetic Waves’ Impact on Hydraulic Conductivity of Granular Soils

Arvin Farid, Holly Monroe, Rakesh Acharaya, Jim Browning

Subject: Engineering, Civil Engineering Keywords: hydraulic conductivity; sand; seepage; electromagnetic; forward model; optimization

Online: 9 June 2023 (08:28:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0688.v1

Moiré Superconductivity and the Roeser-Huber Formula

Michael Rudolf Koblischka, Anjela Koblischka-Veneva

Subject: Physical Sciences, Condensed Matter Physics Keywords: Moiré Superconductors; twisted bilayer graphene; WSe2; superconducting transition temperature; Roeser-Huber formula

Online: 9 June 2023 (08:28:02 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0686.v1

Molecular Regulation for Maintenance of Plant Phosphate Homeostasis in Crop Plants as Basis for Precision Genome Engineering

Siti Nor Akmar Abdullah, Norazrin Ariffin, Muhammad Asyraf Md Hatta, Nurashikin Binti Kemat

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: phosphate homeostasis; transcription factors; phosphate starvation response factors; SPX; proteomics; post-translational; CRISPR; gene editing

Online: 9 June 2023 (08:20:58 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0684.v1

The Isokinetic Method in Female Uninjured Female Soccer Players: A Survey of Applications and Common Mismatches

Antonio Cicchella, Cheng Zhang

Subject: Medicine And Pharmacology, Anatomy And Physiology Keywords: Female soccer; isokinetics; hamstring/quadriceps ratio; dominant non dominant limb ratio; errors in isokinetic dynamometry

Online: 9 June 2023 (08:17:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0682.v1

Novel Land Cover Change Detection Deep Learning Framework with Very Small Initial Samples Using Heterogeneous Remote Sensing Images

Yangpeng Zhu, Qianyu Li, Zhiyong Lv, Nicola Falco

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Land cover change detection; HRSIs; Deep learning neural network; Very Small training samples

Online: 9 June 2023 (08:10:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0681.v1

Thymol@Natural Zeolite Nanohybrids for Chitosan/Poly-Vinyl-Alcohol Based Hydrogels Applied As Active Pads for Strawberries Preservation

Constantinos Ε Salmas, Eleni Kollia, Learda Avdylaj, Anna Kopsacheili, Konstantinos Zaharioudakis, Stavros Georgopoulos, Areti Leontiou, Katerina Katerinopoulou, Georgios Kehayias, Anastasios Karakassides, Charalampos Proestos, Aris E Giannakas

Subject: Chemistry And Materials Science, Surfaces, Coatings And Films Keywords: chitosan; poly-vinyl-alcohol; natural zeolite; thymol; active packaging; antibacterial activity; strawberry preservation

Online: 9 June 2023 (08:06:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0680.v1

Phytochemical Profiling and Biological Potential of Prunus dulcis Shell Extracts

Talel Ben khadher, Sameh Sassi-Aydi, Samir Aydi, MOHAMED MARS, Jalloul Bouajila

Subject: Chemistry And Materials Science, Medicinal Chemistry Keywords: Prunus dulcis shell extracts; chemical composition; biological activities; GC-MS; HPLC-DAD

Online: 9 June 2023 (07:53:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0679.v1

Developing Prediction Models for Solar Photovoltaic Energy Generation Using GBM

Yoo-Jung Kim, Na-Hyeong Kim, So-Yeon Park, Jin-Young Kim, Chang-Ki Kim, Myeong-Chan Oh, Hyun-Goo Kim, Yung-Seop Lee

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: renewable energy; solar photovoltaic energy generation; prediction; gradient boosting machine (GBM); gradient boosting regressor (GBR), time series analysis; autoregressive integrated moving average (ARIMA); normalized mean absolute error (nMAE)

Online: 9 June 2023 (07:20:58 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202306.0678.v1

Laparoscopic Extended Left Lateral Sectionectomy for Hepatocellular Carcinoma in a Patient with Right-Sided Ligamentum Teres: Case Report and Literature Review

Yuki Adachi, Hiroyuki Takahashi, Tomohiro Yamamoto, Masahiro Hagiwara, Koji Imai, Hideki Yokoo

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Right-sided ligamentum teres; Three-dimensional computed tomography; Intraoperative ultrasonography; Laparoscopic hepatectomy; Expanded left lateral sectionectomy

Online: 9 June 2023 (07:14:27 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0677.v1

Artificial Intelligence and Radiomics Applications in Neuro-endocrine Neoplasms (NENs): New Tools for Molecular Hybrid Imaging and Theragnostics Approaches

Michele Balma, Riccardo Laudicella, Elena Gallio, Sara Gusella, Leda Lorenzon, Simona Peano, Renato P. Costa, Osvaldo Rampado, Mohsen Farsad, Laura Evangelista, Desiree Deandreis, Alberto Papaleo, Virginia Liberini

Subject: Public Health And Healthcare, Other Keywords: neuroendocrine tumor; NET; machine-learning; nuclear medicine; theragnostics; PET; DOTA PET; radiomics

Online: 9 June 2023 (07:04:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0676.v1

Binding Affinity of Trastuzumab and Pertuzumab Monoclonal Antibodies to Extracellular HER2 Domain

Victor L. Cruz, Virginia Souza-Egipsy, Maria Gion, Jose Manuel Perez, Javier Cortes, Javier Ramos, Juan Francisco Vega

Subject: Physical Sciences, Biophysics Keywords: Trastuzumab; Pertuzumab; HER2; Binding Free Energy; PRODIGY; Size Exclusion Chromatography

Online: 9 June 2023 (07:01:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0675.v1

A Different Perspective on SARS-Cov-2 Pandemic: Data, Outcomes and Demographic Analysis of a Study Conducted at General Hospital Ninh Thuan Province in Vietnam in 2022

Thach Huy Le, Mario G. Balzanelli, Thanh Van Le, Thang le Quoc, Dung Do Thuy, Pietro Distratis, Rita Lazzaro, Raffaele Del Prete, Francesco Triggiano, Ciro Isacco Gargiulo, Francesco Inchingolo, Vittoriana De Laurentiis, Luigi Santacroce, Kieu Cao Diem Nguyen

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: COVID-19; SARS-CoV-2; socio-demographic analysis; Ferritin; Lymphocytes; General hospital Ninh Thuan province

Online: 9 June 2023 (06:15:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0508.v2

Scalar Product for a Version of Minisuperspace Model with the Grassmann Variables

Sergey L. Cherkas, Vladimir L. Kalashnikov

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: minisuperspace model; quantum evolution; ghost variables; operator mean values

Online: 9 June 2023 (05:45:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.1421.v2

A Critical Assessment of the Current State and Governance of the UNESCO Cultural Heritage Site in Cartagena de Indias, Colombia

Manuel Saba, Gabriel Elías Chanchí Golondrino, Leydy Karina Torres-Gil

Subject: Engineering, Architecture, Building And Construction Keywords: Latin America heritage; Reform in cultural heritage management; UNESCO site at risk

Online: 9 June 2023 (05:44:45 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0673.v1

Molecular Network for Regulation of Seed Size in Plants

Jinghua Zhang, Xuan Zhang, Xueman Liu, Qiaofeng Pai, Yahui Wang, Xiaolin Wu

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: seed size; IKU, ubiquitin; G protein; MAPK; transcription factor; phytohormone; miRNA

Online: 9 June 2023 (05:40:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.0011.v2

Developed Method. Interactions and Their Quantum Picture

Piotr Ogonowski

Subject: Physical Sciences, Theoretical Physics Keywords: Field theory; Lagrangian mechanics; Quantum mechanics; General Relativity

Online: 9 June 2023 (05:38:27 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0672.v1

Human Action Recognition in Smart Living Services and Applications: Context Awareness, Data Availability, Personalization, and Privacy

Giovanni Diraco, Gabriele Rescio, Andrea Caroppo, Andrea Manni, Alessandro Leone

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Review; Human action recognition; Smart living; Services; Applications; Context Awareness; Data Availability; Personalization; Privacy; Sensing technology; Machine learning; Deep learning; Signal processing; Smart home; Smart environment; Smart city; Smart Community; Ambient Assisted Living

Online: 9 June 2023 (05:34:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0674.v1

Two Wire Power Line Microwave Communication Using Low-Loss Modes

Robert G. Olsen

Subject: Engineering, Electrical And Electronic Engineering Keywords: power line communication; electromagnetic propagation

Online: 9 June 2023 (05:34:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0671.v1

Earthquake Prediction for The Marmara Region of Düzce Province Using Artificial Intelligence

Turgut Pura, Peri Güneş, Ali Güneş, Ali Alaa Hameed

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Earthquake; Recurrent neural network; Prediction; Artificial neural network

Online: 9 June 2023 (05:21:52 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0667.v1

Climate Change in the Sun and Shadow: Stories About the Margin

Rene Arredondo-Hernandez, Yolanda Lopez-Vidal, Katya Martinez-Cruz, Samuel Ponce de León Rosales

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Global warming; inequity and resilience; emerging infectious disease; human niche

Online: 9 June 2023 (04:59:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0669.v1

Soil Sustainability in an Integrated Production System in a Brazilian Semi-Arid Region

José Félix De Brito Neto, Fabrícia de Fátima Araújo Chaves, André Luiz Pereira da Silva, Evandro Franklin de Mesquita, Cláudio Silva Soares, Gislayne Kayne Gomes da Cruz, Rener Luciano de Souza Ferraz, Fernanda Ramos de Paiva, Kaíque Romero da Costa Araújo, Alberto Soares De Melo

Subject: Environmental And Earth Sciences, Soil Science Keywords: respirometry; cover crops; conservation systems; microbial biomass

Online: 9 June 2023 (04:44:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0668.v1

Radiofrequency Ablation in Hepatocellular Carcinoma: Necrosis Volumetric Assessment as a Predictor for Local Tumour Progression, a Retrospective Study

Radu Dumitru, Mugur Cristian Grasu, Gabriel Iuhas, Miruna Elena Ispas, Mihai Gheorghe Toma, Ioana Gabriela Lupescu

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: radiofrequency ablation; hepatocarcinoma; volumetry; local tumour progression.

Online: 9 June 2023 (04:39:56 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202306.0666.v1

Burying Hatchets into Endemic Diagnoses: Disseminated Blastomycosis in a Novel Occupational Exposure

Kusha Davar, Arthur Jeng, Suzanne Donovan

Subject: Medicine And Pharmacology, Tropical Medicine Keywords: Blastomycosis; Blastomyces dermatitidis; Endemic Fungi; Axe Throwing; Occupational Exposure

Online: 9 June 2023 (04:32:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0364.v2

Enhancing Chinese Address Parsing in Low-Resource Scenarios through In-Context Learning

Guangming Ling, Xiaofeng Mu, Chao Wang, Aiping Xu

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Chinese address parsing; low-resource scenarios; In-context learning; GPT; BERT; k-nearest neighbors

Online: 9 June 2023 (04:28:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0665.v1

Chemical Feedback in Templated Reaction-Assembly of Polyelectrolyte Complex Micelles: A Molecular Simulation Study of the Kinetics and Clustering

Christos Gioldasis, Apostolos Gkamas, Othonas Moultos, Costas Hristos Vlahos

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: Molecular Dynamics; polyelectrolytes; , polymerization; , self-assembly; graph theory

Online: 9 June 2023 (04:20:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0664.v1

Vegetation Identification in Hyperspectral Images Using Distance/Correlation Metrics

Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón, Manuel Saba

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Distance/correlation-based method; Urban vegetation; Vegetation Clustering; Vegetation classifi-cation interpolation

Online: 9 June 2023 (04:15:53 CEST)

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Vegetation identification using remote sensing is essential for understanding terrestrial ecosystems and monitoring climate change. This technology by providing high-resolution images of the Earth's surface from satellites, aircraft, and drones has revolutionized the way scientists study and un-derstand vegetation patterns, providing information on the distribution, structure, and health of plant communities in different regions and biomes. However, identifying vegetation in multi and hyperspectral images remains a difficult, time-consuming, and costly process. Traditional methods for vegetation mapping involve the in-terpretation of spectral indices such as the Normalized Difference Vegetation Index (NDVI), alt-hough they often suffer from limitations such as manual interpretation and limited spatial resolution of satellite images. Furthermore, machine learning techniques, artificial neural networks, decision trees, support vector machines, and random forests have shown promising results in identifying and classifying vegetation cover from hyperspectral images. However, due to the need for per-son-nel with specialized expertise, their application on a large scale is still challenging. On the other hand, correlation methods between curves have emerged as powerful and simplified tool for comparing spectral signatures of hyperspectral image pixels and efficiently classifying vegetation in a study area. Pearson's correlation coefficient and spectral angle mapper are among the most common correlation methods used in vegetation mapping. These correlation methods, among many others available, offer an easily implemented and computationally efficient approach, making them particularly useful for applications in developing countries or regions with limited resources. In this article, a comparative study of correlation/distance metrics was conducted for the detection of vegetation pixels in hyperspectral images. The study allowed for the comparison of five distance and/or correlation metrics: direct correlation, cosine similarity, normalized Euclidean distance, Bray-Curtis’s distance, and Pearson correlation. The two metrics that yielded the best accuracy results in vegetation pixel detection were direct correlation and Pearson correlation. Based on the selected methods, a vegetation detection algorithm was implemented and validated on a hyper-spectral image of the Manga neighborhood in Cartagena de Indias, Colombia. The spectral library was utilized for image processing, while the numpy and scipy libraries in the Python programming language were used for the mathematical calculation of correlations. Both the study's approach and the implemented algorithm aim to serve as a reference for conducting detection studies of various material types in hyperspectral images using open-access programming platforms.

Preprint REVIEW | doi:10.20944/preprints202306.0663.v1

Regulatory Roles of Flavonoids in Caspase-11 Non-canonical Inflammasome-mediated Inflammatory Responses and Diseases

Young-Su Yi

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Flavonoid; non-canonical inflammasome; anti-inflammatory; inflammatory disease; nutraceutical

Online: 9 June 2023 (04:12:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0662.v1

Visual Static Hand Gesture Recognition Using CNN

Ahmed Eid, Friedhelm Schwenker

Subject: Computer Science And Mathematics, Computer Science Keywords: Static gesture recognition; CNN; Color model transform; Skin color segmentation; Preprocessing; Data augmentation; Adam optimizer; Cross-Entropy loss

Online: 9 June 2023 (04:00:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0661.v1

Soil Moisture Retrieval in Bare Agricultural Areas using Sentinel-1 Images

Mouad Ettalbi, Nicolas Baghdadi, Pierre-André Garambois, Hassan Bazzi, Emmanuel Ferreira, Mehrez Zribi

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Soil Moisture; Bare agricultural areas; Neural Networks; Satellite Remote Sensing; Sentinel-1

Online: 9 June 2023 (03:57:30 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0656.v1

Simulation of the Damage and Failure Characteristics of Coal under True Triaxial Static-Dynamic Loads

Hu He, Siyuan Gong, Xuwei Li, Zonglong Mu

Subject: Engineering, Mining And Mineral Processing Keywords: rockburst; true triaxial; numerical simulation; static-dynamic loads; damage evolution

Online: 9 June 2023 (03:51:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0660.v1

Electrochemical Promotion of CO₂ Hydrogenation Using Rh Catalysts Supported on O^2- Conducting Solid Electrolyte

Nikoleta Kokkinou, Fotis Xydas, Susanne Brosda, Georgios Kyriakou, Alexandros Katsaounis

Subject: Engineering, Chemical Engineering Keywords: Electrochemical Promotion of Catalysis (EPOC); non-Faradaic electrochemical modification of catalytic activity (NEMCA); CO2 Hydrogenation; Rh; Rhodium; YSZ; XPS

Online: 9 June 2023 (03:50:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0659.v1

SARS-CoV-2 Infection: Molecular Mechanisms of Endothelial Dysfunction in COVID-19 Patients

Laurence Bouillet, Alban DEROUX, Meryem BENMARCE, Chloé GUERIN, Laura BOUVET, Olivia GARNIER, Donald K. MARTIN, ISABELLE VILGRAIN

Subject: Medicine And Pharmacology, Internal Medicine Keywords: Endothelium; VE-cadherin; ACE2; SARS-CoV2 infection; Long COVID syndrome

Online: 9 June 2023 (03:43:57 CEST)

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Preprint DATA DESCRIPTOR | doi:10.20944/preprints202306.0658.v1

The Genome Assembly and Annotation of the Bungarus multicinctus

Boyang Liu, Liangyu Cui, Zhangwen Deng, Yue Ma, Diancheng Yang, Yanan Gong, Yanchun Xu, Tianming Lan, Shuhui Yang, Song Huang

Subject: Biology And Life Sciences, Ecology, Evolution, Behavior And Systematics Keywords: Genetics and Genomics; Evolutionary Biology; Zoology

Online: 9 June 2023 (03:30:56 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0657.v1

Recent Advances in Extracellular Vesicles in Amyotrophic Lateral Sclerosis and Emergent Perspectives

Gonçalo Afonso, Carla Cavaleiro, Jorge Valero, Sandra Isabel Mota, Elisabete Ferreiro

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Amyotrophic lateral sclerosis; neurodegenerative diseases; extracellular vesicles; exosomes; miRNA; biomarkers

Online: 9 June 2023 (03:13:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0653.v1

Determinants of Child Nutritional Status among Scheduled Tribes in West Bengal

Manabindra Barman, Dr. Indrajit Roy Chowdhury

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: Scheduled tribe; Children; Nutritional status; Under 5years age; Determinant factors

Online: 9 June 2023 (03:04:37 CEST)

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Malnutrition is the main cause of child mortality in developing nations, especially in Sub-Saharan Africa and South Asian countries. This undernutrition status is predominantly higher among primitive tribal (ST) children under 5 years of age. The nutritional status of tribal children is a serious concern in India. For this, there should be intends to examine the prevalence and determinants of primitive tribal children's nutritional status. To investigate the effect of household, child’s & maternal characteristics on biological children under 5 years of age. The study aims to find out the association between some selected determinants on scheduled tribe child’s nutritional status. The study used some selected variable of scheduled tribe mothers, household characteristics and their children anthropometric indices from DHS datasets of India, which was published by the NFHS datasets of India. In this study People datasets and Children (Under 5 years of age) of interviewed women file datasets of NFHS-IV & V is taken. The datasets of West Bengal, ST mothers, and their child into consideration as per the research interest. Then to analyze the determinants of ST children (U5 age) nutritional status, some determinant factors are taken from mothers, children and household characteristics. Children’s stunting, wasting and underweight as dependent variable and the mothers, child’s and household’s characteristics as independent variable. The statistical analysis was done by using Pearson Chi square test used to analyze the association between dependent and independent variables. The study results shows that the mother’s educational status, child’s age, birth order, size of child at birth, type of residence had significant associations with stunting. Mother's anemia status and mother age had significant associations with wasting. Mother education, currently breastfeeding, child age, sex of the child, birth order, size of child at birth, type of residence, wealth, toilet facility, and cooking fuel shows a significant association with underweight. The results found that many determinant factors had a significant role among ST children's (U5 age) nutritional status. Thus, the findings will help to achieve tentative resource allocation, and utilization through various programs and policies to improve the ST children (U5 age) nutritional status. There is a need to take a multisectoral and multidimensional approach to develop for those primitive tribal children.

Preprint ARTICLE | doi:10.20944/preprints202306.0652.v1

Clinching of High-Strength Steel Sheets With Local Preheating

Miroslav Džupon, Ľuboš Kaščák, Denis Cmorej, Lucia Čiripová, Jacek Mucha, Emil Spišák

Subject: Engineering, Mechanical Engineering Keywords: clinching; spot welding; local heating; load-bearing capacity; metallography

Online: 8 June 2023 (15:12:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0079.v2

SL-Swin: A Transformer-Based Deep Learning Approach for Macro- and Micro-Expression Spotting on Small-Size Expression Datasets

Erheng He, Qianru Chen, Qinghua Zhong

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Macro- and Micro-Expression Spotting; Image Processing; Computer Vision; Artificial Intelligence; Deep Learning; Swin Transformer; Shifted Patch Tokenization; Locality Self-Attention

Online: 8 June 2023 (15:06:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0651.v1

Genetic Architecture of Vitamin D Deficiency Among an Elderly Lebanese Middle Eastern Population: An Exome-wide Association Study

Nagham Nafiz Hindi, Marlene Chakhtoura, Yaser Al-Sarraj, Dania Saleh Bacha, Omar Albagha, Ghada El-Hajj Fuleihan, Georges Nemer

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: Exome-wide association stud; Vitamin D deficiency; genetic determinants; polygenic risk score; Middle Eastern population.

Online: 8 June 2023 (14:18:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0650.v1

For Same-Day Bidirectional Endoscopy in Children, Propofol-based Sedation Shortened the Patient Time Requirement Compared to Midazolam

Satomi Nishimoto, Takahiro Kudo, Kiyoaki Yabe, Ichitaro Horiuchi, Shingo Kurasawa, Akira Horiuchi

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: bidirectional endoscopy; children; propofol; patient time requirements

Online: 8 June 2023 (14:07:20 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0649.v1

Preferential Recruitment of Monocyte into the Brain is Orchestrated by VCAM-1 Expression

Wei-Wei Zhu, Junyao Wang, Qiming Dong, Lin Zhao, Jian Chen

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: monocyte, VCAM-1, microsphere, capillary vessel, microemboli

Online: 8 June 2023 (14:02:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0648.v1

Insights into the SARS-CoV-2 ORF6 Mechanism of Action

Elena Krachmarova, Peicho Petkov, Elena Lilkova, Nevena Ilieva, Miroslav Rangelov, Nadezhda Todorova, Kristina Malinova, Rossitsa Hristova, Genoveva Nacheva, Anastas Gospodinov, Leandar Litov

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: SARS-CoV-2 ORF6 – RAE1 binding; 3D molecular structure modelling; molecular dynamics simulations; cell cycle, cyclin E; R-loops; DNA replication stress

Online: 8 June 2023 (13:52:38 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0647.v1

Nanomaterials Used in the Preparation of Personal Protective Equipment (PPE) in the Fight against SARS-CoV-2

Pierantonio De Luca, Anastasia Macario, Janos B.Nagy

Subject: Chemistry And Materials Science, Nanotechnology Keywords: Covid-19; Coronaviruses; Personal protective equipment; Nanomaterials; PPE; SARS-CoV-2

Online: 8 June 2023 (13:19:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0646.v1

Dynamic analysis of high-water-cut tight sandstone gas reservoirs and study of water production splitting of gas wells: A case study on the western Sulige gas field, Ordos Basin, NW China

Dewei Meng, Dongbo He, Zhi Guo, Guoting Wang, Guang Ji, Haifa Tang, Qian Zeng

Subject: Engineering, Energy And Fuel Technology Keywords: high water saturation; tight sandstone gas reservoir; wellbore liquid loading law; water production splitting; productivity evaluation; deliquification period optimization

Online: 8 June 2023 (12:22:30 CEST)

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The western Sulige gas field is a new and key reserve area for the rolling development of the Sulige gas field in China. However, due to the complex gas–water relationship and the difficulty in identifying gas and water formation, the scale and benefit deployment of the gas field are seriously restricted. In particular, almost all of the wells in the area produce water and no water measurement has been carried out for any single well, which leads to an unclear understanding of the dynamic characteristics of the production wells, thus affecting the productivity calculations of the gas wells and the overall regional productivity evaluation. Based on the testing data for a gas well, the impacts of the reservoir property parameters on the gas and water production were analyzed by combining the production performance and static geological characteristics. It was determined that the physical parameters K, Kh, and φSg had good positive correlations with gas production but not with water production; thus, effective prediction cannot be obtained for water production in gas well testing. After the analysis of the liquid loading law, the gas wells were classified into three types: continuous liquid carrying production, slight liquid loading, and liquid loading wells. In general, up to 96% of the gas wells were liquid loaded. According to the different production performances exhibited in the different stages of the gas wells, five types of methods for diagnosing water production wells were proposed (gas testing, pilot production, gas–liquid two-phase measurement testing, liquid level detection, and production performance analysis), as well as the diagnostic criteria and corresponding solutions. To obtain real-time water production data for each well and investigate the change of water-gas ratio (WGR) during the whole production process, a water production splitting method for gas wells based on three-dimensional geological modeling and numerical simulation combined with the constraints of the total water production of gas gathering stations was explored and established. The splitting results can be used to evaluate the water and gas productivity of gas wells and determine the best deliquification period. The gas well productivity when water production was considered was about 10% lower than that when water production was not considered. The best deliquification period was determined to be 125 days for wells with small water production, 20 days for wells with moderate water production, and 3 days for wells with serious water production. The results of this study could provide technical support for the scientific evaluation of gas well production indicators, reduction of development costs, and improvement of oil recovery.

Preprint REVIEW | doi:10.20944/preprints202306.0645.v1

The German Climate Verdict, Human Rights, Paris Target and EU Climate Law

Felix Ekardt, Marie Bärenwaldt

Subject: Social Sciences, Law Keywords: climate change; Paris Agreement; human rights; IPCC; climate policy; Climate Litigation; precautionary principle

Online: 8 June 2023 (12:21:26 CEST)

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Preprint REVIEW | doi:10.20944/preprints202306.0644.v1

Inflammatory Biomarkers in mTBI

Ioannis Mavroudis, Alin Ciobica, Ioana Miruna Balmus, Alina Costina Luca

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: mild traumatic brain injury; post-concussion syndrome; neuroinflammation; pro-inflammatory cytokines; diagnosis; outcomes; recovery.

Online: 8 June 2023 (11:36:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0643.v1

Spectral Characterization, Microscopic Images, and Antimicrobial Activity of Chenodeoxycholic Acid Complexes with Zn(II), Mg(II), and Ca(II) Ions

Abdulrahman A. Almehizia, Mohamed A. Al-Omar, Ahmed M. Naglah, Mashooq A. Bhat, Fhdah S. Alanazi, Fatimah A. Alotaibi, Moamen S. Refat, Abdel Majid A. Adam

Subject: Chemistry And Materials Science, Applied Chemistry Keywords: Chenodeoxycholic acid; Metal-based complex; Spectroscopy; Microscopic images; Antimicrobial test

Online: 8 June 2023 (11:28:03 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202306.0642.v1

Adverse Crosstalk Between Extracellular Matrix Remodeling and Ferroptosis in Basal Breast Cancer

Christophe Desterke, Emma Cosialls, Yao Xiang, Rima Elhage, Clémence Duruel, Yunhua Chang-Marchand, Ahmed Hamaï

Subject: Biology And Life Sciences, Cell And Developmental Biology Keywords: basal breast cancer; extracellular matrix remodeling; ferroptosis; transcriptome; text mining

Online: 8 June 2023 (11:21:03 CEST)

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(1) Background: Breast cancer is a frequent heterogeneous disorder diagnosed in woman and is a high cause of mortality of them in reason to rapid metastasis and disease recurrence. Ferroptosis can inhibit breast cancer cell growth, improve the sensitivity of chemotherapy and radiotherapy and inhibit distant metastases so potentially acts on tumor micro-environment; (2) Methods: Ferroptosis/Extracellular matrix remodeling literature text-mining results were integrated in breast cancer transcriptome cohort according their distant relapse free survival (DRFS) under adjuvant therapy (anthracyclin+taxanes) and also in MDA-MB-231 transcriptome functional experiments with ferroptosis activations (GSE173905); (3) Results: Ferroptosis/Extracellular matrix remodeling text-mining identified 910 associated genes in at list 10 articles. Univariate Cox analyses censored on breast cancer (GSE25066) selected 252 individual significant genes and 171 of them found with an adverse expression. Functional enrichment of these 171 adverse genes predicted basal breast cancer signatures. By text-mining some ferroptosis significant adverse selected genes shared citations in domain of ECM remodeling such as: TNF, IL6, SET, CDKN2A, EGFR, HMGB1, KRAS, MET, LCN2, HIF1A, TLR4. A molecular score based on expression the eleven genes was found predictive of worst prognosis breast cancer at univariate level: basal subtype, short DRFS, high grade values 3 and 4, estrogen and progesterone receptors negative and nodal stages 2 and 3. This eleven gene signature was validated as regulated by ferroptosis inductors (erastin and RSL3) in triple negative breast cancer cellular model MDA-MB-231.; (4) Conclusions: Crosstalk between ECM remodeling-Ferroptosis functionalities allowed to define a molecular score which have been characterized as an independent adverse parameter in prognosis of breast cancer patients. Gene signature of this molecular score have been validated to be regulated by erastin/RSL3 ferroptosis activators. This molecular score could be promising to evaluate ECM impact of ferroptosis target therapies in breast cancer.

Preprint ARTICLE | doi:10.20944/preprints202305.0740.v2

Non-Face-to-Face P2P (peer-to-peer) Real-time Token Payment Blockchain System

Hyug-Jun Ko, Seong-Soo Han, Chang-Sung Jeong

Subject: Computer Science And Mathematics, Computer Science Keywords: Blockchain; Symverse; Ethereum; Payment; gas; voice fishing; fin-tech

Online: 8 June 2023 (11:17:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0955.v4

Decaying Turbulence as a Fractal Curve

Alexander Migdal

Subject: Computer Science And Mathematics, Analysis Keywords: Turbulence; Fractal; Anomalous dissipation; Fixed point; Velocity circulation; Loop Equations

Online: 8 June 2023 (11:07:13 CEST)

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