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Preprint ARTICLE | doi:10.20944/preprints202102.0440.v1

Effect of Different Types of Warm-up on Strength and Skin Temperature of Paralympic Powerlifting Athletes

Marcelo de Aquino Resende, Felipe J. Aidar, Roberta Barreto Vasconcelos Resende, Gracielle Costa Reis, Layanne de Oliveira Barros, Dihogo Gama de Matos, Anderson Carlos Marçal, Paulo Francisco de Almeida-Neto, Alfonso López Díaz de Durana, María Merino Fernández, José Vilaça-Alves, Breno Guilherme de Araújo Tinoco Cabral, Eduardo Borba Neves, Victor Machado Reis, Nuno Domingos Garrido

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: warm up; muscle force; performance; resistance training; thermal imaging; physiology

Online: 19 February 2021 (14:15:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0534.v1

Saint Venant and Navier-Stokes Models for Tsunami Simulations

Camille Journeau, Kévin Pons, Richard Marcer

Subject: Engineering, Marine Engineering Keywords: tsunami; CFD; Saint Venant (SV) model; Adaptive Mesh Refinement (AMR); large scale propagation; 3D Navier-Stokes (NS) model; coastal impact

Online: 22 November 2018 (04:43:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0295.v1

Streamline-Based Simulation of Nanoparticle Transport in Field-Scale Heterogeneous Subsurface Systems

Bin Wang, Yin Feng, John Blears, Karsten Thompson, Richard Hughes

Subject: Engineering, Energy And Fuel Technology Keywords: Streamline-based simulation; Nanoparticle transport; Reservoir simulation; Field-scale simulation

Online: 13 September 2020 (16:03:33 CEST)

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Nanoparticle (NP) transport is increasingly relevant to subsurface engineering applications such as aquifer characterization, fracture electromagnetic imaging and environmental remediation. An efficient field-scale simulation framework is critical for predicting NP performance and designing subsurface applications. In this work, for the first time, a streamline-based model is presented to simulate NP transport in field-scale subsurface systems. It considers a series of behaviors exhibited by engineered nanoparticles (NPs), including time-triggered encapsulation, retention, formation damage effects and variable nanofluid viscosity. The key methods employed by the algorithm are streamline-based simulation (SLS) and an operator-splitting (OS) technique for modeling NP transport. SLS has proven to be efficient for solving transport in large and heterogeneous systems, where the pressure and velocity fields are firstly solved on underlying grids using finite-difference (FD) methods. After tracing streamlines, one-dimensional (1D) NP transport is solved independently along each streamline. The adoption of OS enhances flexibility for the entire solution procedure by allowing different numerical schemes to solve different governing equations efficiently and accurately. For the NP transport model, an explicit FD scheme is used to solve the advection term, an implicit FD scheme is used for the diffusion term and an adaptive numerical integration is used to solve the retention terms. The model is implemented in an in-house streamline-based code, which is verified against analytical solutions, a commercial FD reservoir simulator (ECLIPSE) and an academic FD colloid transport code (MNMs). For a 1D homogeneous case, the effluent breakthrough curves (BTC) produced by the in-house simulator are in good agreement with the analytical solution and MNMs, respectively. For a two-dimensional (2D) heterogeneous case, the BTC and concentration pattern of the in-house simulator all match well with the solution produced by commercial simulator. Simulations on a synthetic three-dimensional (3D) nanocapsule application engineering design case, are performed to investigate the effect of fluid and NP properties on the displacement pattern of an existing subsurface fluid.

Preprint ARTICLE | doi:10.20944/preprints202007.0138.v1

Cavitation in Pharmaceutical Manufacturing

Donn Sederstrom, Rafael Valotta Rodrigues, Corinne Lengsfeld

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: hydrodynamic cavitation; cavitation number; turbulence; critical pressure; Kolmogorov length scale

Online: 7 July 2020 (17:37:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0006.v1

The differences between the Connor–Davidson Resilience Scale and the Brief Resilience Scale When Assessing Resilience: Confirmatory Factor Analysis and Predictive Effects

Yun-Ci Ye, Chia-Huei Wu, Cheng-Ta Yang

Subject: Social Sciences, Psychology Keywords: resilience; Connor-Davidson Resilience Scale; Brief Resilience Scale; depression; life satisfaction; confirmatory factor analysis

Online: 4 January 2022 (12:34:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0456.v1

A Multi-Scale Modeling Approach for Simulating Crack Sensing in Polymer Fibrous Composites Using Electrically Conductive Carbon Nanotube Networks. Part II: Meso- and Macro-Scale Analyses

Konstantinos Tserpes, Christos Kora

Subject: Chemistry And Materials Science, Nanotechnology Keywords: Carbon nanotubes; Polymer nanocomposites; Electrical conductivity; Crack sensing; Multi-scale modeling

Online: 27 August 2018 (11:25:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0424.v4

A Scale-Invariant, Machian Theory of Gravitation and Electrodynamics Unified

Ram Gopal Vishwakarma

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Gravitation - Fundamental Problems and General Formalism; Electrodynamics; Scale Invariance; Mach Principle; Dark Energy

Online: 3 October 2018 (15:35:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0357.v1

Collision Space-Time. Unified Quantum Gravity. Gravity is Lorentz Symmetry Break Down at the Planck Scale

Espen Haug

Subject: Physical Sciences, Quantum Science And Technology Keywords: Quantum gravity, granular matter, Lorentz symmetry break down at the Planck scale, Heisen- berg uncertainty break down at the Planck scale, indivisible particles, gravity and Lorentz symmetry break down.

Online: 29 May 2019 (16:31:56 CEST)

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

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

Sílvio José Gobbi, Vagner João Gobbi, Gustavo Reinke

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

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

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Working Paper ARTICLE

Effect of Interlayer Cooling Time, Constraint and Tool Path Strategy on Deformation of Large Components made by Laser Metal Deposition with Wire

Yousub Lee, Yashwanth Bandari, Peeyush Nandwana, Brian Gibson, Brad Richardson, Srdjan Simunovic

Subject: Engineering, Mechanical Engineering Keywords: large-scale additive manufacturing; interlayer cooling time; tool path optimization; part deformation; Ti-6Al-4V

Online: 10 November 2019 (09:04:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201904.0304.v1

Fatigue Assessment of Prestressed Concrete Slab-between-Girder Bridges

Eva O.L. Lantsoght, Rutger Koekkoek, Cor van der Veen, Henk Sliedrecht

Subject: Engineering, Civil Engineering Keywords: assessment; bridge evaluation; compressive membrane action; concrete bridges; fatigue; fatigue assessment; live loads; prestressed concrete; punching shear; scale model

Online: 28 April 2019 (08:38:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0402.v1

Adaptive Multi-Scale Entropy Fusion De-hazing based on Fractional Order

Uche A. Nnolim

Subject: Engineering, Electrical And Electronic Engineering Keywords: fractional order calculus-based multi-scale contrast operator; hybrid local-global contrast enhancement; underwater image enhancement processing; hazy image contrast enhancement; entropy guided fusion

Online: 22 July 2018 (11:30:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201906.0285.v1

Lenvatinib as an Initial Treatment in Patients with Intermediate-stage Hepatocellular Carcinoma Beyond up-to-seven Criteria and Child-Pugh A Liver Function: A Proof-of-Concept Study

Masatoshi Kudo, Kazuomi Ueshima, Stephan Chan, Tomohiro Minami, Hirokazu Chishina, Tomoko Aoki, Masahiro Takita, Satoru Hagiwara, Yasunori Minami, Hiroshi Ida, Mamoru Takenaka, Toshiharu Sakurai, Tomohiro Watanabe, Masahiro Morita, Chikara Ogawa, Yoshiyuki Wada, Masafumi Ikeda, Hiroshi Ishii, Namiki Izumi, Naoshi Nishida

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: hepatocellular carcinoma; lenvatinib; transcatheter arterial chemoembolisation; intermediate stage; up-to-seven criteria

Online: 27 June 2019 (08:13:58 CEST)

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Background: Although transcatheter arterial chemoembolisation (TACE) is the standard of care for intermediate-stage hepatocellular carcinoma (HCC), this is a largely heterogeneous disease that includes a subgroup of patients who do not benefit from TACE. The treatment strategy for this subgroup of patients currently remains an unmet need in clinical practice. Here, we performed a proof-of-concept study that lenvatinib may be more favourable treatment option over TACE as an initial treatment in intermediate-stage HCC patients with large or multinodular tumours exceeding the up-to-seven criteria. Methods: This proof-of-concept study included 642 consecutive patients with HCC initially treated with lenvatinib or conventional TACE (cTACE) between January 2006 and December 2018. Of these patients, 176 who received lenvatinib or cTACE as an initial treatment and met the eligibility criteria [unresectable, beyond the up-to-seven criteria, no prior TACE/systemic therapy, no vascular invasion, no extrahepatic spread and Child-Pugh A liver function] were selected for the study. Propensity score matching was used to adjust for patient demographics. Results: After propensity-score matching, outcome of 30 patients prospectively treated with lenvatinib (14 in clinical trials, 1 in early access program and 15 in real world setting) and 60 patients treated with cTACE as the initial treatment was compared. The change of ALBI score from baseline to the end of treatment were -2.61 to -2.61 for 30 patients in lenvatinib group (p = 0.254) and -2.66 to -2.09 in cTACE group (p < 0.01), respectively. The lenvatinib group showed a significantly higher objective response rate (73.3% vs. 33.3%; p < 0.001) and significantly longer median progression-free survival than the cTACE group (16.0 vs. 3.0 months; p < 0.001). Overall survival was significantly longer in the lenvatinib group than in the cTACE group (37.9 vs. 21.3 months; hazard ratio: 0.48, p < 0.01). Conclusion: In patients with large or multinodular intermediate-stage HCC exceeding the up-to-seven criteria with Child-Pugh A liver function, who usually do not benefit from TACE, lenvatinib provides more favorable outcome than TACE.

Preprint ARTICLE | doi:10.20944/preprints201807.0460.v1

Removal Characteristics of N-Nitrosamines and Their Precursorsby Pilot-Scale Integrated Membrane Systems for Water Reuse

Haruka Takeuchi, Naoyuki Yamashita, Norihide Nakada, Hiroaki Tanaka

Subject: Engineering, Chemical Engineering Keywords: N-nitrosamines; formation potential; membrane treatment; reverse osmosis; membrane fouling; pilot-scale

Online: 24 July 2018 (15:46:34 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201802.0166.v1

The Effect of Environmental Conditions on the Physiological Response during a Stand-Up Paddle Surfing Session

Yair Suari, Ben Schram, Adva Ashkenazi, Hadas Gann-Perkal, Lev Berger, Meshi Reznikov, Shmuel Shomrat, Einat Kodesh

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: stand up paddle board; physiology; surfing

Online: 26 February 2018 (11:59:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0336.v1

The effect of Autonomy-Supportive Patient-Centered Communication on Health Literacy: Exploring the Mediating Role of the Patient Health Engagement Model

Serena Barello, Lorenzo Palamenghi, Guendalina Graffigna

Subject: Social Sciences, Psychology Keywords: health literacy; patient health engagement model; Health Care Climate Questionnaire; patient autonomy; PHE-s; Patient Health Engagement Scale; health communication; patient centered communication; patient engagement

Online: 28 January 2020 (10:29:43 CET)

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Preprint ESSAY | doi:10.20944/preprints201910.0354.v1

A Perceptive Scale Toolkit for Navigating Across Length Scales

Ipsa Jain, Minhaj Sirajuddin

Subject: Biology And Life Sciences, Biophysics Keywords: science communication; scale; education; toolkit

Online: 30 October 2019 (09:31:14 CET)

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Preprint REVIEW | doi:10.20944/preprints201812.0066.v1

Emerging Molecular Technologies in Renal Cell Carcinoma: Liquid Biopsy

Alessia Cimadamore, Silvia Gasparrini, Francesco Massari, Matteo Santoni, Liang Cheng, Antonio Lopez-Beltran, Marina Scarpelli, Rodolfo Montironi

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: renal cell carcinoma; circulating DNA; CTC; diagnosis; follow-up; genetic alteration; target therapy

Online: 5 December 2018 (08:01:30 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints201901.0126.v1

Mapping Quantitative Trait Loci onto Chromosome-scale Pseudomolecules in Flax

Frank M. You, Sylvie Cloutier

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: flax; association mapping; genome-wide association study (GWAS); simple sequence repeat (SSR); single nucleotide polymorphism (SNP); quantitative trait loci (QTL); chromosome-scale pseudomolecules

Online: 14 January 2019 (07:19:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0542.v1

Emergent Scale Invariance and Climate Sensitivity

Rypdal Martin, Hege-Beate Fredriksen, Eirik Myrvoll-Nilsen, Sigrunn H. Sørbye, Kristoffer Rypdal

Subject: Environmental And Earth Sciences, Geophysics And Geology Keywords: Climate sensitivity; scale invariance; long-range persistence; climate variability; emergent constrains

Online: 23 October 2018 (15:59:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0272.v1

Assessing Cognitive and Social Attitudes Toward Environmental Conservation in Coral Reef Social-Ecological Systems

Kostas Alexandridis

Subject: Social Sciences, Cognitive Science Keywords: environmental attitudes; social-ecological systems; coral reef; scale development; item-response theory; reliability; generalized structural equation model

Online: 18 June 2018 (15:26:36 CEST)

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Preprint REVIEW | doi:10.20944/preprints202401.0789.v1

Microbiome Modeling: A Beginner’s Guide

Emanuel Lange, Lena Kranert, Jacob Krüger, Dirk Benndorf, Robert Heyer

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: systems microbiology; microbial ecology; omics data integration; metaproteomics; genome-scale modeling; constraint-based modeling; boolean modeling, bioinformatics

Online: 10 January 2024 (09:57:55 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0335.v1

Reflection Symmetry Axes Localization Framework for Object Intelligent Perception based on Salient Symmetry Feature

Kaichao Wu, Yuan Qi, Yuanju Ma, Cheng Liu, Dazhi Jiang

Subject: Computer Science And Mathematics, Computer Science Keywords: Object perception; Reflection symmetry; Saliency Symmetry Model; Isotropic symmetry operator; Multi-scale implementation

Online: 15 October 2020 (16:32:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201912.0376.v1

Short Tear Break-Up Time and Seasonal Variation in Intra-Ocular Pressure

Masahiko Ayaki, Kazuno Negishi, Kenya Yuki, Motoko Kawashima, Miki Uchino, Kazuo Tsubota

Subject: Medicine And Pharmacology, Ophthalmology Keywords: dry eye; tear break-up time; intra-ocular pressure; seasonality

Online: 29 December 2019 (09:17:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0415.v1

The Use of Colors as an Alternative to Size in Mold Growth Studies

Edgar Cambaza, Shigenobu Koseki, Shuso Kawamura

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: Fusarium graminearum, mycelial growth, RGB, gray scale.

Online: 28 May 2018 (16:31:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.0109.v1

Recent and Future Advances in Water Electrolysis for Green Hydrogen Generation: Critical Analysis and Perspectives

Alessandro Franco, Caterina Giovannini

Subject: Engineering, Energy And Fuel Technology Keywords: clean hydrogen; water electrolysis; energy transition; electrolysis technologies; energy analysis; benchmark data; performance measurement; electrolysers’ scaling up; renewable energy sources integration

Online: 1 November 2023 (17:21:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints201907.0268.v1

Development of Technology of Release of Iron and Its Oxidic Connections from Dump Steel-Smelting Slag

Sokhibjon Turdaliyevich Matkarimov, Anvar Abdullayevich Yusupkhodjayev, Bakhriddin Berdiyarov Berdiyarov

Subject: Chemistry And Materials Science, Metals, Alloys And Metallurgy Keywords: slag; metallurgical dust; rolling scale; tails of dressing-works; iron; magnetite; fusion mixture; melting; arc steel-smelting furnace; production efficiency

Online: 24 July 2019 (09:06:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0664.v1

Assessment of the Psychological Impact and Perceived Stress Due to COVID-19 Lockdown in Young Adult Population of India.

Sreelakshmi M, Irfanul Haque, Sarita Jangra Bhyan, Ankit Gaur, Aashi Jain, Amrita Kumari, Besty Thomas, Nancy Goel, Rashi Chauhan

Subject: Social Sciences, Psychology Keywords: COVID-19 lockdown; psychological impact; perceived stresses-R scale; PSS scale; young adults

Online: 28 July 2020 (04:39:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202208.0176.v1

Psychometric Evaluation of the Depression Anxiety Stress Scale 8-items (DASS-8)/DASS-12/DASS-21 among Italian and Swiss Family Caregivers of Patients with Dementia

Amira Ali, Rana Ali Alameri, Amin Omar Hendawy, Rasmieh Al-Amer, Ghada Shahrour, Esraa M. Ali, Abdulmajeed A. Alkhamees, Nashwa Ibrahim, Bothaina Hussein Hassan

Subject: Social Sciences, Psychology Keywords: psychological distress/anxiety/depression; dementia; Alzheimer’s disease; Parkinson’s disease; short form of the Depression Anxiety Stress Scale 21; Depression Anxiety Stress Scale 8-items; factor structure; psychometric properties; structural validity; validation; measurement invariance; old age/elders/elderly; informal; family caregivers; spouse; adult children

Online: 9 August 2022 (08:44:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0345.v1

Foetal Music Perception: A Comparison Study between Heart Rate and Motor Responses Assessed by APIB Scale in Ultrasound Exam

Rosana Maria Tristao, Jose Alfredo Lacerda de Jesus, Mônica de Lima Lemos, Ricardo Dourado Freire

Subject: Social Sciences, Psychology Keywords: foetus; music perception; tempo; heart rate variability; ultrasound exam; APIB scale; habituation; sensitization

Online: 16 July 2020 (07:49:50 CEST)

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Music perception in foetuses has been explored under different theoretical paradigms such as habituation, categorical perception, sound preferences and recall. This study investigated the temporal dimension of music perception through the habituation and sensitization paradigm. Foetuses of 41 pregnant women, mean gestational age of 34.7 weeks (±2.4), were observed during ultrasound exams. Foetuses’ reaction to two different tempos (Allegro vs Adagio) and sources (internal vs external) of music stimuli was registered by heart rate variability (HR) and motor response according to the Assessment of Preterm Infants Behaviour scale (APIB) by its factors of movement (MOV) and organization (ORG). A folkloric lullaby, sung and played live with a stringed instrument by a musician, was presented in three stages that were compared to baseline: 1) slow tempo (Adagio), 2) fast tempo (Allegro); and 3) now sung by mother at slow tempo (Adagio). Exploratory analyses showed that all factors increased from baseline to first stage. HR and ORG varied significantly among stages, with HR being the strongest factor. MOV merely detected change from baseline to first stage. ORG decreased for Allegro but increased for maternal Adagio, while HR decreased to near baseline values. ANOVA-repeated measures with gestational age as covariate showed that all measures were sensitive to first music presentation (Adagio), although only HR and ORG differed among stages. Considering estimated marginal means, adjusted for gestational age, HR presented a sensitization pattern throughout stages, but ORG kept habituating to external source and increased to maternal Adagio, suggesting foetal discrimination by sound source. We conclude that foetuses showed different behavioural and physiological responses to external versus internal sound source and musical tempo. The combined use of a behavioural scale (APIB) and HR in foetuses proved to be a valid multidimensional instrument.

Preprint COMMUNICATION | doi:10.20944/preprints202102.0438.v1

Flexural Property of Composite Biomaterials Used in the Oral Cavity

Masao Irie, Yukinori Maruo, Goro Nishigawa, Takuya Matsumoto

Subject: Chemistry And Materials Science, Biomaterials Keywords: Biomaterial; Dental composite; Luting agents; Core build-up materials; Application in dentistry

Online: 19 February 2021 (13:25:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints201804.0138.v1

An Assessment of Wind Power Generation Potential of Built Environment Wind Turbine (BEWT) Systems in Fort Beaufort, South Africa

Terrence Manyeredzi, Golden Makaka

Subject: Engineering, Energy And Fuel Technology Keywords: distributed system; power density; renewable energy; sustainability; utility scale; wind resource

Online: 11 April 2018 (06:07:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201908.0059.v1

The Effect of Recreation in a Snow-Covered Forest Environment on the Psychological Relaxation of Young Females

Ernest Bielinis, Adrian Łukowski, Aneta Omelan, Sergii Boiko, Norimasa Takayama

Subject: Biology And Life Sciences, Forestry Keywords: deciduous forest; female; forest bathing; forest therapy; Positive and Negative Affect Schedule; Profile of Mood States; Restorative Outcome Scale; restoration; Shinrin-Yoku; snow covered forest; Subjective Vitality Scale; winter

Online: 5 August 2019 (08:56:32 CEST)

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Forest recreation can be successfully conducted for the purpose of psychological relaxation, as has been proven in previous scientific studies. During the winter in many countries, when snow cover occurs frequently, forest recreation (walking, relaxation, photography, etc.) is common. Nevertheless, whether forest therapy conducted in a forest environment with a snow cover will also have a positive effect on psychological indicators remains unknown. Furthermore, male subjects frequently participate in forest therapy experiments, whereas females are rarely involved. Thus, in this study, the effectuality of forest recreation during winter and with snow cover was tested on 32 young females. For these reasons, the experiment involved 15-minute periods of relaxation in a forest environment or in an urban environment, in addition to a pre-test under indoor conditions. Four psychological questionnaires (POMS, PANAS, ROS, SVS) were administered to participants before and after interventions. Results showed that participants’ levels of negative mood, as measured by different aspects of the POMS questionnaire (tension-anxiety, anger-hostility, depression-dejection, confusion, fatigue), decreased after exposure to the forest environment. In contrast, both tension-anxiety and anger-hostility increased in the urban environment. The indicator of negative affect from the PANAS questionnaire also increased after exposure to the urban environment, whereas the indicator of positive affect based on PANAS was higher in the forest environment than in the urban environment. Restorativeness and subjective vitality exhibited higher values after exposure to the forest environment in comparison to those from the control and pre-test. The changes in these indicators demonstrates that forest recreation in the snow during winter can significantly increase psychological relaxation in young females, as well as showing that recreation can be successfully conducted under these winter conditions.

Preprint REVIEW | doi:10.20944/preprints201912.0128.v1

Comparative Analysis of Risk Management Techniques for Large-Scale Systems

Mehreen Sirshar, Aliya Shahid, Zoya Alam

Subject: Engineering, Control And Systems Engineering Keywords: large scale systems; risk assessment; risk management techniques; risk mitigation

Online: 10 December 2019 (07:14:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0298.v2

Cosmic Ray Extremely Distributed Observatory

Piotr Homola, Dmitriy Beznosko, Gopal Bhatta, Łukasz Bibrzycki, Łukasz Bratek, Michalina Borczyńska, Nikolay M. Budnev, Dariusz Burakowski, David Edwin Alvarez-Castillo, Kevin Almeida Cheminant, Aleksander Ćwikła, Punsiri Dam-o, Niraj Dhital, Alan Duffy, Piotr Głownia, Krzysztof Gorzkiewicz, Dariusz Góra, Alok C. Gupta, Zuzana Hlávková, Martin Homola, Joanna Jałocha, Robert Kamiński, Michał Karbowiak, Marcin Kasztelan, Renata Kierepko, Marek Knap, Péter Kovács, Szymon Kuliński, Bartosz Łozowski, Marek Magryś, Mikhail V. Medvedev, Justyna Mędrala, Jerzy W. Mietelski, Justyna Miszczyk, Alona Mozgova, Antonio Napolitano, Vahab Nazari, Y. Jack Ng, Michał Niedźwiecki, Cristina Oancea, Bogusław Ogan, Gabriela Opiła, Krzysztof Oziomek, Maciej Pawlik, Marcin Piekarczyk, Bożena Poncyljusz, Jerzy Pryga, Matías Rosas, Krzysztof Rzecki, Jilberto Zamora-Saa, Katarzyna Smelcerz, Karel Smolek, Weronika Stanek, Jarosław Stasielak, Slawomir Stuglik, Jolanta Sulma, Oleksandr Sushchov, Manana Svanidze, Kyle Tam, Arman Tursunov, José-M. Vaquero, Tadeusz Wibig, Krzysztof W. Woźniak

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: cosmic rays; cosmic ray ensembles; extensive air showers; large scale cosmic ray correlations; CREDO Collaboration

Online: 15 October 2020 (16:13:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0353.v1

The Clampdown Effect: On The Expulsion of Super-Intelligence

Deep Bhattacharjee

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: WEAK Clampdown Effect, STRONG Clampdown Effect, KARDASHEV Scale, ERROR Processing, EXTRAVAGENT Curiosity, SOFT Singularity, HARD Singularity, ERROR Approximation

Online: 13 April 2021 (12:58:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0426.v2

Cities, from Information to Interaction

Vinicius M. Netto, Edgardo Brigatti, João Meirelles, Fabiano L. Ribeiro, Bruno Pace, Caio Cacholas, Patricia Sanches

Subject: Social Sciences, Urban Studies And Planning Keywords: information; cities; interaction; environmental information; entropy; scale; enaction

Online: 10 October 2018 (05:32:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202104.0674.v1

Numerical Investigation of the Full-Scale Resistance of a Zero-Emission Fast Catamaran in Shallow Water

Guangyu Shi, Alexandros Priftis, Yan Xing-Kaeding, Evangelos Boulougouris, Apostolos Papanikolaou, Haibin Wang, Geoff Symonds

Subject: Engineering, Automotive Engineering Keywords: fast catamaran; shallow water resistance; full-scale CFD

Online: 26 April 2021 (13:25:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0008.v1

Symmetry Breaking and Emergence of Directional Flows in Minimal Actomyosin Cortices

Sven K. Vogel, Christian Wölfer, Diego A. Ramirez-Diaz, Robert J. Flassig, Kai Sundmacher, Petra Schwille

Subject: Biology And Life Sciences, Biophysics Keywords: bottom-up synthetic biology; motor proteins; pattern formation; self-organization

Online: 2 April 2020 (04:02:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0305.v3

Improvement of Sickle Cell Disease Morbimortality in Children: Experience in a Remote Area of an African Country

Benoît Mukinayi Mbiya, Didier Kalenda Kalombo, Yannick Nkesu Mukendi, Valery Daubie, John Kalenda Mpoyi, Parola Mukendi Biboyi, Ghislain Tumba Disashi, Béatrice Gulbis

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: sickle cell disease; feasibility; regular follow-up; remote area; Democratic Republic of Congo

Online: 12 October 2020 (15:14:46 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202011.0324.v1

Tracking Double-up Food Bucks (DUFB) Program Use Among Supplemental Nutrition Assistant Program (SNAP) Recipients and the Implications for Healthy Food Access

Abiodun Atoloye, Carrie Durward

Subject: Social Sciences, Psychology Keywords: Farmers' market; Incentive program; SNAP benefits; Double-up Food Buck; Incentive tracking system

Online: 10 November 2020 (15:53:21 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0273.v1

What Makes Small-Scale Fishers Resilient? Lessons from the Coping Strategies under COVID-19 Outbreak Observed in Trang Province, Thailand

Yuki Arai, Maneewan Sanlee, Misato Uehara, Shimpei Iwasaki

Subject: Biology And Life Sciences, Aquatic Science Keywords: small-scale fishers; resilience; Adaptive Cycle Model; Sustainable Livelihood Framework; COVID-19; coping strategy; alternative livelihood; Trang Province; Thailand

Online: 19 January 2022 (14:20:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints202004.0302.v1

From Local to Global: A Transfer Learning-Based Approach for Mapping Poplar Plantations at Large Scale

Yousra Hamrouni, Éric Paillassa, Véronique Chéret, Claude Monteil, David Sheeren

Subject: Environmental And Earth Sciences, Environmental Science Keywords: active learning; poplar plantations; spatial transfer; sentinel-2; large scale; image classification; random forest

Online: 17 April 2020 (15:05:54 CEST)

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Reliable estimates of poplar plantations area are not available at the French national scale due to the unsuitability and low update rate of existing forest databases for this short-rotation species. While supervised classification methods have been shown to be highly accurate in mapping forest cover from remotely sensed images, their performance depends to a great extent on the labelled samples used to build the models. In addition to their high acquisition cost, such samples are often scarce and not fully representative of the variability in class distributions. Consequently, when classification models are applied to large areas with high intra-class variance, they generally yield poor accuracies. In this paper, we propose the use of active learning (AL) to efficiently adapt a classifier trained on a source image to spatially distinct target images with minimal labelling effort and without sacrificing classification performance. The adaptation consists in actively adding to the initial local model, new relevant training samples from other areas, in a cascade that iteratively improves the generalisation capabilities of the classifier, leading to a global model tailored to different areas. This active selection relies on uncertainty sampling to directly focus on the most informative pixels for which the algorithm is the least certain of their class labels. Experiments conducted on Sentinel-2 time series showed that when the same number of training samples was used, active learning outperformed passive learning (random sampling) by up to 5% of overall accuracy and up to 12% of class F-score. In addition, and depending on the class considered, the random sampling required up to 50% more samples to achieve the same performance of an active learning-based model. Moreover, the results demonstrate the suitability of the derived global model to accurately map poplar plantations among other tree species with overall accuracy values up to 14% higher than those obtained with local models. The proposed approach paves the way for national-scale mapping in an operational context.

Preprint REVIEW | doi:10.20944/preprints201910.0329.v1

Prospects for hermetic sealing of scaled-up photoelectrochemical hydrogen generators for reliable and risk free operation

Sonya Calnan, Stefan Aschbrenner, Fuxi Bao, Erno Kemppainen, Iris Dorbandt, Rutger Schaltmann

Subject: Engineering, Energy And Fuel Technology Keywords: photoelectrochemical; solar hydrogen generator; hermetic sealing, reliability, safety, scale- up

Online: 29 October 2019 (10:19:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0046.v1

Combining Remote Sensing Derived Data and Historical Maps for Long-Term Back-Casting of Urban Extents

Johannes H. Uhl, Stefan Leyk, Zekun Li, Weiwei Duan, Basel Shbita, Yao-Yi Chiang, Craig A. Knoblock

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: urbanization; long-term settlement patterns; built-up land data; global human settlement layer; historical maps; topographic map processing; data integration.

Online: 2 July 2021 (10:03:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0246.v2

Mathematical Models for Possible Roles of Oxytocin and Oxytocin Receptors in Autism

Mark Gottlieb

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Oxytocin, Oxytocin Receptor, Autism, Nepsys Scale, MAST Immune System Disease, Dendritic Spines, Magnocellular Neurons, Desensitization, Labor, Down Regulation

Online: 23 April 2019 (11:12:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0007.v1

Effects of Volume Fraction and Surface Area of Aggregates on the Static Yield Stress and Structural Build-Up of Fresh Concrete

Irina Ivanova, Viktor Mechtcherine

Subject: Chemistry And Materials Science, Materials Science And Technology Keywords: fresh concrete; rheology; static yield stress; structural build-up; aggregates; packing fraction

Online: 1 March 2020 (03:29:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints201908.0116.v1

Matchmr: Exploring the Effects of Scale and Color Differences on Users’ Perception in Mixed Reality Devices

Kwang-seong Shin, Howon Kim, Dongsik Jo

Subject: Computer Science And Mathematics, Hardware And Architecture Keywords: mixed-reality; perception; scale; color; HMD

Online: 9 August 2019 (04:25:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202212.0226.v1

Parameterization of Eddy Mass Transport in the Arctic Seas based on the Sensitivity Analysis of Large-scale Flows

Gennady Platov, Dina Iakshina, Elena Golubeva

Subject: Environmental And Earth Sciences, Oceanography Keywords: eddy mass transport; subgrid-scale processes; parametrization; Arctic ocean; sensitivity study; clustering

Online: 13 December 2022 (04:19:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202102.0208.v1

A Solution of the Cosmological Constant, Using Multiverse Version of Penrose CCC Cosmology, and Enhanced Quantization Compared

Andrew Beckwith

Subject: Physical Sciences, Acoustics Keywords: Minimum scale factor; cosmological constant; space-time bubble; bouncing cosmologies

Online: 8 February 2021 (13:00:28 CET)

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Preprint REVIEW | doi:10.20944/preprints202301.0125.v1

Voltage Lifting Techniques for Non-isolated DC/DC Converters

Abdulaziz Alkhaldi, Ahmad Elkhateb, David Laverty

Subject: Engineering, Electrical And Electronic Engineering Keywords: High voltage gain; DC/DC converter; Step-up techniques; Renewable energy

Online: 6 January 2023 (10:04:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints201807.0272.v1

Carbon Nanocones with Curvature Effects Close to Vertex

Barry J Cox, James M Hill

Subject: Chemistry And Materials Science, Nanotechnology Keywords: carbon nanocones; geometry; rolled-up model; curvature effects; analytical formulae

Online: 16 July 2018 (10:18:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0459.v1

Fractal Structure and Non Extensive Statistics

Airton Deppman, Eugenio Megias, Debora P. Menezes, Tobias Frederico

Subject: Physical Sciences, Thermodynamics Keywords: fractal structure; non extensive statistics; Tsallis statistics; self-similarity; scale invariance

Online: 28 June 2018 (05:30:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201902.0189.v2

Gamma and Beta Model of Growing and Rotating Planck Ball

Satya Seshavatharam U.V, S. Lakshminarayana

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: Planck scale; Mach’s relation; quantum cosmology; critical density; ordinary matter; dark matter; expansion velocity; angular velocity; Hubble’s law

Online: 5 March 2019 (06:43:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0311.v1

Resource Interaction in Smallholder Farms is Linked to Farm Sustainability: Evidence from Indian Sundarbans

Rupak Goswami, Sonja Brodt, Sangita Patra, Purnabha Dasgupta, Biswanath Mukherjee, Somen Nandi

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: resource integration; network analysis; sustainability; small-scale farm

Online: 14 December 2020 (09:26:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0629.v1

Multiscale Hydro-Meteorological Factors Variations and Its Links to Large-Scale Atmospheric Circulation Systems in the Source Region of Yangtze River

Jian Tang, Hui-Qun Cao

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: hydro-meteorological factors; large-scale atmospheric circulation systems; South Asia monsoon; streamflows; source region of the Yangtze River

Online: 26 October 2018 (11:52:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202012.0409.v1

Personalized Biometrics of Physical Pain Agree with Its Psychological Perception by Participants with Sensory Over Responsivity

Jihye Ryu, Tami Bar-Shalita, Yelena Granovsky, Irit Weissman-Fogel, Elizabeth B. Torres

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: EEG; pain biometrics; stochastic analyses; micro-movements spikes; sensory over responsivity; standardized scale; personalized pain

Online: 16 December 2020 (13:19:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202301.0355.v1

Fishers’ Communication as Critical Factor for Catch and Tuna Traceability Implementation among Small-Scale Fishers in Davao Gulf, Philippines

Edison D. Macusi, Miko Mariz C. Castro, Ivy M. Nallos, Christine P. Peralez

Subject: Biology And Life Sciences, Aquatic Science Keywords: Davao Gulf; fisheries management; small-scale fisheries; tuna fisheries; traceability

Online: 19 January 2023 (09:49:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0282.v2

Design Optimization of Centrifugal Microfluidic "Lab-on-a-Disc" Systems towards Fluidic Larger-Scale Integration

Jens Ducrée

Subject: Computer Science And Mathematics, Software Keywords: centrifugal microfluidics, Lab-on-a-Disc, large-scale integration, reliability, tolerances, band width, packing density

Online: 8 June 2021 (12:07:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202204.0047.v1

A Survey Paper for Parsing of English Sentences Using Context-Free Grammar

Harsh Dhabekar, Chetanya Rathi, Harshit Mundhra, Pushkar Helge, Kartik Rajput

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: Artificial Intelligence; Bottom-up Parser; Context-Free-Grammar; English Grammar; Python; Parse Table; Semantic Parser; Top-downParser

Online: 6 April 2022 (12:42:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0299.v1

Using Ensemble Convolutional Neural Network to Detect Deepfakes Using Periocular Data

David Johnson, Xiaohonh Yuan, Kaushik Roy

Subject: Computer Science And Mathematics, Computer Science Keywords: deepfake detection; CNN; deep neural network; computer vision; scale invariant feature transform; histogram of oriented gradients

Online: 17 February 2023 (06:51:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0376.v1

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

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

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

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

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Preprint ARTICLE | doi:10.20944/preprints201903.0117.v1

An Accelerating and Rotating Planck-Hubble Universe (A Very Simple Model of Quantum Cosmology)

U. V. S. Seshavatharam, S. Lakshminarayana

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: planck scale; quantum cosmology; critical density; ordinary matter; dark matter; expansion velocity; angular velocity; Hubble’s law;

Online: 11 March 2019 (08:01:28 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0318.v1

Numerical Analysis of Full-scale Ship Self-Propulsion Performance with direct Comparison to Statistical Sea Trail Results

Wenyu Sun, Qiong Hu, Shiliang Hu, Jia Su, Jie Xu, Jinfang Wei, Guofu Huang

Subject: Engineering, Marine Engineering Keywords: Hull-propeller interaction; Full-scale CFD; Scale effect; Self-propulsion; Statistical sea trails

Online: 24 December 2019 (11:16:25 CET)

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Accurate prediction of the self-propulsion performance is one of the most important factors for energy-efficient design of a ship. In general, the hydrodynamic performance of a full-scale ship could be achieved by model-scale simulation or towing tank test with extrapolations. With the development of CFD methods and computing power, directly predict ship performance with full-scale CFD is an important approach. In this article, a numerical study on the full-scale self-propulsion performance with propeller operating behind ship at model- and full-scale is presented. The study includes numerical simulations using RANS method with double-model and VOF model respectively and scale effect analysis based on overall performance, local flow fields and detailed vortex identification. Verification study on grid convergence is also performed for full-scale simulation with global and local mesh refinements. And a series of sea trail tests were performed to collect reliable data for the validation of CFD predictions. The analysis of scale effect on hull-propeller interaction shows that the difference on hull boundary layer and flow separation is the main source of scale effect on ship wake. And the results of the fluctuations of propeller thrust and torque along with circulation distribution and local flow field show that propeller’s loading is significantly higher for model-scale ship. It is suggested that the difference on vortex evolution and interaction is more pronounced and have larger effects on ship’s powering performance at model-scale than full-scale according to the simulation results. From the study on self-propulsion prediction, it could be concluded that the simplification on free surface treatment does not only affect the wave-making resistance for bare hull but also the propeller performance and propeller induced ship resistance which can produced up to 5% uncertainty to the power prediction. Roughness is another important factor in full-scale simulation because it has up to approximately 7% effect on the delivery power. As a result of validation study, the numerical simulations of full-scale ship self-propulsion shows good agreement with the sea trail data especially for cases that have considered both roughness and free surface effects. This result will largely enhance our confidence to apply full-scale simulation in the prediction of ship’s self-propulsion performance in the future ship designs.

Preprint ARTICLE | doi:10.20944/preprints202210.0131.v1

Adversarial Patch Attack on Multi-Scale Object Detection for Remote Sensing Image

Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Ping Zhong

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Adversarial examples; Remote sensing images; Universal adversarial patch; Object detection; Joint optimization; Scale factor.

Online: 11 October 2022 (02:34:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0303.v1

Controlling Nutritional Status (CONUT) Score is a Prognostic Indicator for Patients with Hemorrhagic Stroke: Results from a 3-month Follow-up Study

Bei-lei Zhu, Yan-zhi Wu, Zhong-ming Cai, Cheng-wei Liao, Le-qiu Sun, Zhi-peng Liu, Hao-man Chen, Xue-rong Huang, Ren-qian Feng, Sheng-lie Ye, Qun-li Lin, Xu-dong Zhou, Man-man Zhang, Bo Yang

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Controlling Nutritional Status Score; Hemorrhagic stroke; Nutrition screening; Prognosis; Modified Rankin Scale

Online: 15 January 2021 (16:08:15 CET)

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Preprint ARTICLE | doi:10.20944/preprints202203.0310.v1

Avoiding the Great Filter: Predicting the Timeline for Humanity to Reach Kardashev Type I Civilization

Jonathan H. Jiang, Fuyang Feng, Philip E. Rosen, Kristen A. Fahy, Antong Zhang, Piotr Obacz, Prithwis Das, Zong-Hong Zhu

Subject: Physical Sciences, Applied Physics Keywords: Kardashev scale; civilization; energy consumption and supply

Online: 23 March 2022 (05:19:37 CET)

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Preprint ARTICLE | doi:10.20944/preprints202209.0017.v1

Application of Reichardt’s Solvent Polarity Scale [E_T(30)] in the Selection of Bonding Agents for Composite Solid Rocket Propellants

Franco Cataldo

Subject: Chemistry And Materials Science, Applied Chemistry Keywords: Bonding agents (BA); composite solid rocket propellants (CSRP); Reichardt’s ET(30) polarity scale; mechanical properties of CSRP.

Online: 1 September 2022 (09:25:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202111.0381.v1

Inverse Boltzmann Iterative Multi-Scale Molecular Dynamics Study between Carbon Nanotubes and Amino Acids

Wanying Huang, Xinwen Ou, JunYan Luo

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Multi-scale molecular dynamics； IBI； CBNs

Online: 22 November 2021 (11:08:58 CET)

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Preprint REVIEW | doi:10.20944/preprints202402.0461.v1

A Guide for the Bioinformatic Analysis of Metabolomics Data

Guillem Santamaria, Francisco R Pinto

Subject: Biology And Life Sciences, Other Keywords: metabolomics; bioinformatics; workflow; biostatistics; genome-scale metabolic modelling.

Online: 8 February 2024 (09:15:31 CET)

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

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

Michael J. Longo

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

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

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Preprint ARTICLE | doi:10.20944/preprints201806.0349.v2

A Scale at 10 MeV, Gravitational Topological Vacuum, and Large Extra Dimensions

Ufuk Aydemir

Subject: Physical Sciences, Particle And Field Physics Keywords: MacDowell-Mansouri formalism; Bjorken-Zeldovich scale; Gauss-Bonnet term; Einstein-Cartan formalism; Big Bang Nucleosynthesis; cosmological constant; Kodama wavefunctions

Online: 2 August 2018 (08:57:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201810.0332.v1

A Specific Large-Scale Pressure Gradient Forcing for Computation of Realistic 3D Wind Fields Over a Canopy at Stand Scale

Francois Pimont, Jean-Luc Dupuy, Rodman Linn, Jeremy Sauer

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Ekman balance - Forest canopy – Large-eddy simulation – Large-scale pressure gradient - Streaks

Online: 15 October 2018 (18:19:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202011.0474.v1

Identifying personalized metabolic signatures in breast cancer

Priyanka Baloni, Wikum Dinalankara, John C. Earls, Theo A. Knijnenburg, Donald Geman, Luigi Marchionni, Nathan D. Price

Subject: Biology And Life Sciences, Endocrinology And Metabolism Keywords: Breast cancer, genome-scale metabolic models, constraint-based analysis, divergence analysis, gene expression, metabolism, drug targets, personalized metabolic networks.

Online: 18 November 2020 (12:29:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints201809.0159.v1

The Friction Properties of Firebrat Scales

Yuji Hirai, Naoto Okuda, Naoki Saito, Takahiro Ogawa, Ryuichiro Machida, Shûhei Nomura, Masahiro Ôhara, Miki Haseyama, Masatsugu Shimomura

Subject: Chemistry And Materials Science, Nanotechnology Keywords: Firebrat; Friction; AFM; Colloidal probe; Scale; Microstructure34

Online: 10 September 2018 (09:22:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202010.0052.v1

Predicting SARS-CoV-2 Weather-Induced Seasonal Virulence from Atmospheric Air Enthalpy

Angelo Spena, Leonardo Palombi, Massimo Corcione, Alessandro Quintino, Mariachiara Carestia, Vincenzo Andrea Spena

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: weather-related SARS-CoV-2 virulence; specific enthalpy of atmospheric moist air; temperature and humidity effects on COVID-19 outbreak; correlating equation; COVID-19 spread prediction risk scale

Online: 5 October 2020 (08:10:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0337.v3

No Need for Dark-Matter, Dark-Energy or Inflation, Once Ordinary Matter Is Properly Represented?

Yehonatan Knoll

Subject: Physical Sciences, Particle And Field Physics Keywords: dark matter; dark energy; inflation; scale covariance; foundations of general relativity

Online: 8 January 2019 (10:02:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202012.0478.v1

Quality of Life: Changes in Self Perception in People with DS who Participate in Laliga Genuine Santander. Self Reports and External Reports

Rocío Camacho, Cristina Castejón-Riber, Francisco Requena, Julio Camacho, Arturo Gallego, Roberto Espejo, Amaranta De Miguel-Rubio, Begoña M. Escribano, Estrella I. Agüera

Subject: Social Sciences, Psychology Keywords: Down's Syndrome; perception; quality of life; sport; age; gender; scale

Online: 18 December 2020 (16:17:41 CET)

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Preprint REVIEW | doi:10.20944/preprints202311.0461.v1

Ten Quick Tips for Accurate Reconstruction of Prokaryotic and Eukaryotic Genome-Scale Metabolic Models

Gabriela Canto-Encalada, Jenna Armstrong, Carlos Focil-Espinosa4, Ademikanra Adekunle-Fiyin, Ila Peeler, William R. Gebbie, Julio Nunez-Garcia, Alexis Saldivar, Diego Martinez, Cristal Zuniga

Subject: Biology And Life Sciences, Other Keywords: Genome-scale metabolic model reconstruction; manual curation; quick tips; systems biology

Online: 7 November 2023 (14:59:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.2103.v1

Sustainable Mining in Cameroon

Lucien Antoine Zang, Pablo Higueras

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Cameroon; mining; Small Scale mining; Sustainable development; Betare Oya

Online: 30 May 2023 (10:00:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0569.v1

Effects of Clinical Characteristics on Sleep Quality in Patients with Chronic Temporomandibular Disorders

Yeon-Hee Lee, Q-Schick Auh, Jung-Sub An, Tae Kim

Subject: Medicine And Pharmacology, Dentistry And Oral Surgery Keywords: Sleep quality; Chronic pain; Temporomandibular disorder; Pittsburgh Sleep Quality Index; STOP-Bang; Epworth Sleepiness Scale

Online: 23 June 2021 (11:11:14 CEST)

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Objectives: This study aimed to investigate and compare sleep quality between patients with chronic temporomandibular disorder and healthy controls, and to analyze the association of sleep quality with disease characteristics, obstructive sleep apnea risk factors, and excessive daytime sleepiness. Methods: Chronic temporomandibular disorder patients (n=503) and 180 age- and sex-matched healthy controls were included, who completed well-organized clinical report and answered questions on sleep quality (Pittsburgh Sleep Quality Index), sleep apnea risk factors (STOP-Bang questionnaire), and excessive daytime sleepiness (Epworth sleepiness scale). Results: Mean global Pittsburgh Sleep Quality Index scores were significantly higher in the patients (6.25±2.77) than in healthy controls (6.25±2.77) (p<0.001). Poor sleep was significantly more prevalent in the patient group (56.9%) than in healthy controls (22.2%) (p<0.001). Compared with healthy controls, chronic temporomandibular disorder patients had a higher likelihood of obstructive sleep apnea. (STOP-Bang total score ≥3; 7.2% vs. 16.1%; p<0.01) and higher excessive daytime sleepiness (Epworth sleepiness scale score ≥10; 12.8% vs. 19.7%; p<0.05). Age (odds ratio=2.551; p<0.001), female sex (odds ratio=1.885; p=0.007), total Epworth sleepiness scale score (odds ratio=1.839; p=0.014), and headache attributed to temporomandibular disorder (odds ratio=1.519; p=0.049) were the most powerful predictors of poor sleep (global Pittsburgh Sleep Quality Index score ≥5) in chronic temporomandibular disorder patients. Conclusion: Chronic temporomandibular disorder patients had sleep quality impairment. Various factors, including peripheral and central factors, affect the patient's sleep quality. Therefore, in addition to sleep quality and sleep-related problems, the underlying central mechanism for poor sleep quality should be assessed when treating chronic temporomandibular disorder patients.

Preprint ARTICLE | doi:10.20944/preprints201911.0398.v2

Hypothetical Role of Large Nuclear Gravity in Understanding the Significance and Applications of the Strong Coupling Constant in the Light of Up and Down Quark Clusters

U.V.S Seshavatharam, S. Lakshminarayana

Subject: Physical Sciences, Nuclear And High Energy Physics Keywords: large nuclear gravity; strong coupling constant; nuclear stability; nuclear binding energy; free nucleons; active nucleons; magic numbers; up and down Quark clusters

Online: 4 December 2019 (04:48:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0407.v3

On the Eternal Role of Planck Scale in Machian Cosmology

Satya Seshavatharam U.V, S. Lakshminarayana

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Planck scale; Mach’s relation; quantum cosmology; critical density; ordinary matter; dark matter; thermal redshift; expansion velocity; rotational kinetic energy; dark energy; Hubble’s law

Online: 2 November 2018 (02:30:57 CET)

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With reference to Planck scale, Mach's relation and by introducing two new parameters Gamma and Beta, right from the beginning of Planck scale, we make an attempt to estimate ordinary matter density ratio, dark matter density ratio, mass, radius, temperature, age and expansion velocity (from and about the Planck mass in all directions). In analogy with currently believed cosmic acceleration, with a decreasing trend of total matter density ratio, cosmic expansion velocity can be shown to be increasing. By considering

H_{0} ≅ 70

km/sec/Mpc, estimated current cosmic mass, radius, total matter density, expansion velocity, temperature and age are:

4.3352 \times 10^{53} kg,

3.207 \times 10^{26} m,

3.138 \times 10^{- 27} kg {. m}^{- 3},

2.43 c,

2.721 K

and

19.78 Billion years

respectively. Point to be noted is that, with reference to Planck scale, cosmic temperature seems to be redshifted by a factor

{(Z_{T})}_{t} ≅ \sqrt{1 + \ln (H_{p l} / H_{t})} - 1

where

(H_{p l}, H_{t})

represent Planck scale and time dependent Hubble parameters respectively. As a peculiar case, considering the equality of current Hubble parameter and current angular velocity, current cosmic rotational kinetic energy can be estimated to be 0.667 times the current critical energy. It needs further study.

Preprint ARTICLE | doi:10.20944/preprints202104.0788.v1

Genome-Scale Metabolic Model of Infection with SARS-CoV-2 Mutants Confirms Guanylate Kinase as Robust Potential Antiviral Target

Alina Renz, Lina Widerspick, Andreas Dräger

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: SARS-CoV-2; COVID-19; Flux Balance Analysis (FBA); Genome-Scale Metabolic Models; Target Identification; Reaction Knock-Out; Structural Proteins; Purine Metabolism; Pyrimidine Metabolism; B.1.1.7; B.1.351

Online: 30 April 2021 (15:14:06 CEST)

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Preprint REVIEW | doi:10.20944/preprints202105.0140.v1

Effect of Produced Sand Particles and Fines on Scale Inhibitor: A Review

Uche Callistus Anyanwu, Gbenga F Oluyemi

Subject: Engineering, Automotive Engineering Keywords: Adsorption; Scale Inhibitors; Fine sands; Colloids; Reservoir

Online: 7 May 2021 (10:42:36 CEST)

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Working Paper ARTICLE

Scale Accuracy Evaluation of Optical Based 3D Reconstruction Strategies Using Laser Photogrammetry

Klemen Istenič, Nuno Gracias, Aurelien Arnaubec, Javier Escartin, Rafael Garcia

Subject: Computer Science And Mathematics, Computer Science Keywords: photogrammetry; metrology; underwater 3D reconstruction; structure-from-motion; navigation fusion; multi-objective BA; laser scalers; Monte-Carlo simulation; uncertainty estimation; scale drift evaluation; laser spot detection

Online: 15 July 2019 (05:22:16 CEST)

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Rapid developments in the field of underwater photogrammetry have given scientists1the ability to produce accurate 3-dimensional (3D) models which are now increasingly used in the representation and study of local areas of interest. This paper addresses the lack of systematic analysis of 3D reconstruction and navigation fusion strategies, as well as associated error evaluation of models produced at larger scales in GPS-denied environments using a monocular camera (often in deep-sea scenarios). Based on our prior work on automatic scale estimation of Structure from Motion (SfM)-based 3D models using laser scalers, an automatic scale accuracy framework is presented. The confidence level for each of the scale error estimates is independently assessed through the propagation of the uncertainties associated with image features and laser spot detections using a Monte Carlo simulation. The number of iterations used in the simulation was validated through the analysis of the final estimate behaviour. To facilitate the detection and uncertainty estimation of even greatly attenuated laser beams, an automatic laser spot detection method, mitigating the effects of scene texture, was developed, with the main novelty of estimating the uncertainties based on the recovered characteristic shapes of laser spots with radially decreasing1 intensities. The effects of four different reconstruction strategies resulting from the combinations of Incremental/GlobalSfM, and thea priori/a posterioriuse of navigation data were analyzed using two distinct survey scenarios captured during the SUBSAINTES 2017 cruise (doi: 10.17600/17001000). The study demonstrates that surveys with multiple overlaps of non-sequential images result in a nearly identical solution regardless of the strategy (SfM or navigation fusion), while surveys with weakly connected sequentially acquired images are prone to produce broad-scale deformation (doming effect) when navigation is not included in the optimization. Thus the scenarios with complex survey patterns substantially benefit from using multi-objective BA navigation fusion. In all cases, the errors in the models are inferior to 5%, with errors often being around 1%. The effects of combining data from multiple surveys were also evaluated. The introduction of additional vectors in the optimization of multi-survey problems successfully accounted for offset changes present in the underwater USBL-based navigation data and thus minimize the effect of contradicting navigation priors. Our results also illustrate the importance of collecting a multitude of evaluation data at different locations and moments during the survey.

Preprint ARTICLE | doi:10.20944/preprints202008.0221.v1

Evaluation of the Severity of Major Depression Using a Voice Index for Emotional Arousal

Shuji Shinohara, Hiroyuki Toda, Mitsuteru Nakamura, Yasuhiro Omiya, Masakazu Higuchi, Takeshi Takano, Taku Saito, Masaaki Tanichi, Shuken Boku, Shunji Mitsuyoshi, Mirai So, Aihide Yoshino, Shinich Tokuno

Subject: Computer Science And Mathematics, Mathematical And Computational Biology Keywords: arousal level; emotion; major depression severity; voice index; Hurst exponent; zero-crossing rate; Hamilton Rating Scale for Depression

Online: 9 August 2020 (21:15:01 CEST)

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Preprint REVIEW | doi:10.20944/preprints202007.0200.v2

Light Speed Expansion and Rotation of a Very Dark Machian Universe Having Internal Acceleration

U.V.S. Seshavatharam, S. Lakshminarayana

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: Planck scale; Machian universe; Speed of light; Galactic dark matter; Galactic visible mass; Galactic visible mass density; Cosmic anisotropy; Galactic internal acceleration; Cosmic graviton wavelength

Online: 12 July 2020 (14:20:12 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201904.0105.v1

Weighing Cosmological Models with SNe Ia and GRB Redshift Data

Rajendra P. Gupta

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies; supernovae; GRB; distances and redshifts; cosmic microwave background radiation; distance scale; cosmology theory; cosmological constant; Hubble constant; general relativity; TMT

Online: 9 April 2019 (11:38:12 CEST)

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Many models have been proposed to explain the intergalactic redshift using different observational data and different criteria for the goodness-of-fit of a model to the data. The purpose of this paper is to examine several suggested models using the same supernovae Ia data and gamma-ray burst (GRB) data with the same goodness-of-fit criterion and weigh them against the standard

Λ

CDM model. We have used the redshift – distance modulus (

z - μ

) data for 580 supernovae Ia with

0.015 \leq z \leq 1.414

to determine the parameters for each model, and then use these model parameter to see how each model fits the sole SNe Ia data at

z = 1.914

and the GRB data up to

z = 8.1

. For the goodness-of-fit criterion, we have used the chi-square probability determined from the weighted least square sum through non-linear regression fit to the data relative to the values predicted by each model. We find that the standard ΛCDM model gives the highest chi-square probability in all cases albeit with a rather small margin over the next best model - the recently introduced nonadiabatic Einstein de Sitter model. We have made (

z - μ

) projections up to

z = 1096

for the best four models. The best two models differ in

μ

only by 0.328 at

z = 1096

, a tiny fraction of the measurement errors that are in the high redshift datasets.

Preprint ARTICLE | doi:10.20944/preprints201810.0774.v1

A model free control based on machine learning for energy converters in an array

Simon Thomas, Marianna Giassi, Mikael Eriksson, Malin Göteman, Jan Isberg, Edward Ransley, Martyn Hann, Jens Engström

Subject: Engineering, Control And Systems Engineering Keywords: machine learning; wave energy; power take-off; artificial neural network; wave tank test; physical scale model; floating point absorber; damping; control; collaborative

Online: 2 November 2018 (12:35:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0544.v2

Gravitation with Cosmological Term, Expansion of the Universe as Uniform Acceleration in Clifford Coordinates

Alexander Kritov

Subject: Physical Sciences, Mathematical Physics Keywords: Clifford algebras Cl(3,0) and Cl(0,3); center of Cl(3); two dimensional spacetime of time-volume; constant uniform acceleration; Rindler coordinates; FLRW metric; scale factor; AdS and de Sitter models

Online: 5 February 2021 (10:13:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0141.v2

Effectiveness of Health Education Given To Prevent Back Pain In Women: Pre- And Post-Test Study

Elizabeth Olubunmi Babalola

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: low back pain; women; exercise; physical activity; health education; Oswestry Disability Index; Back Pain Functional Scale; ergonomics

Online: 10 May 2021 (14:07:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202106.0043.v1

The Longitudinal Pediatric Data Resource: Facilitating Longitudinal Collection of Health Information to Inform Clinical Care and Guide Newborn Screening Follow-Up Efforts

Amy Brower, Kee Chan, Michael Hartnett, Jennifer Taylor

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: newborn screening; research; long-term follow-up; NBSTRN; LPDR; RUSP. (3-10 keywords separated by semi colons)

Online: 1 June 2021 (15:10:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0181.v1

Accelerated Gradient Descent Using Instance Eliminating Back Propagation

Farzad Hosseinali

Subject: Computer Science And Mathematics, Computer Science Keywords: Artificial Neural Networks; Gradient Descent; Back Propagation; Instance Elimination; Speed up; Batch Size

Online: 7 August 2020 (09:29:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0400.v1

What is the Real Shape of the Hubble Diagram, z = H₀*D or z+1= e^H0*t? Analysis of the SN1a Supernovae and Gamma Ray Burst Redshift/Magnitude Data including the High Redshift Range up to z = 8.1

Laszlo Marosi

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies; distances and redshift; high redshift; stars; Gamma ray bursts; individual; supernovae; individual; cosmology; distance scale; observations

Online: 24 May 2020 (19:07:56 CEST)

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Working Paper REVIEW

Characteristics of Future Models of Integrated Outpatient Care

Alan Leviton, Julia Oppenheimer, Madeline Chiujdea, Annalee Antonetty, Oluwafemi William Ojo, Stephanie Garcia, Sarah Weas, Eric Fleegler, Eugenia Chan, Tobias Loddenkemper

Subject: Medicine And Pharmacology, Other Keywords: consumer health informatics; E-health; mobile Apps; outpatient follow-up; patient portal; patient-reported outcomes

Online: 2 April 2019 (12:32:10 CEST)

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

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

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

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

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

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Preprint ARTICLE | doi:10.20944/preprints202103.0298.v1

Sintered Glass Monoliths as New Supports for Affinity Columns

Marco Wilke, Bettina Röder, Martin Paul, Michael G. Weller

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Affinity chromatography; matrix; solid support; resin; support materials; glass filter; glass frit; high-pressure; HPLC; FPLC; antibodies; immunoglobulins; purification; downstream processing; protein purification; preparative; analytical; separation; clean-up; automation

Online: 11 March 2021 (08:37:01 CET)

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A novel stationary phase for affinity separations is presented. This material is based on sintered borosilicate glass readily available as semi-finished filter plates with defined porosity and surface area. The material shows fast binding kinetics and excellent long-term stability under real application conditions due to lacking macropores and high mechanical rigidity. The glass surface can be easily modified with standard organosilane chemistry to immobilize selective binders or other molecules used for biointeraction. In this paper, the manufacturing of the columns and their respective column holders by 3D printing is shown in detail. The model system protein A/IgG was chosen as an example to examine the properties of such monolithic columns under realistic application conditions. Several specifications, such as (dynamic) IgG capacity, pressure stability, long-term performance, productivity, non-specific binding, and peak shape, are presented. It could be shown that due to the very high separation speed, 250 mg antibody per hour and column can be collected, which surpasses the productivity of most standard columns of the same size. The total IgG capacity of the shown columns is around 4 mg (5.5 mg/mL), which is sufficient for most tasks in research laboratories. The cycle time of an IgG separation can be less than 1 minute. Due to the glass material's excellent pressure resistance, these columns are compatible with standard HPLC systems. This is usually not the case with standard affinity columns, limited to manual use or application in low-pressure systems. The use of a standard HPLC system also improves the ability for automation, which enables the purification of hundreds of cell supernatants in one day. The sharp peak shape of the elution leads to an enrichment effect, which might increase the concentration of IgG by a factor of 3. The final concentration of IgG can be around 7.5 mg/mL without the need for an additional nanofiltration step. The purity of the IgG was > 95% in one step and nearly 99% with a second polishing run.

Preprint ARTICLE | doi:10.20944/preprints202111.0293.v1

Scaling Up Blended Learning on Innovation and Entrepreneurship: a Proposal to Increase Value in a Semi Presential Module

Alvaro Pina Stranger, German Varas, Gaëlle Mobuchon

Subject: Social Sciences, Education Keywords: representations; prior knowledge; blended learning; scaling up; innovation and entrepreneurship

Online: 16 November 2021 (14:32:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints202212.0570.v1

Adaptive Multi-Scale Fusion of Image Deblurring Networks for Drone and Aerial Remote Sensing Object Detection

Baoyu Zhu, Qunbo Lv, Zheng Tan

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: Drone and Aerial Remote Sensing; Image Deblurring; Generative Adversarial Networks; Multi-Scale; Image blur level; Object Detection; Deep Learning

Online: 30 December 2022 (04:45:12 CET)

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