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Preprint ARTICLE | doi:10.20944/preprints202405.1435.v1

A New Approach for Understanding International Hospital Bed Numbers and Application to Local Area Bed Demand and Capacity Planning

Rodney P Jones

Subject: Public Health And Healthcare, Health Policy And Services Keywords: hospital beds; bed modeling; bed occupancy; age-standardized mortality rate (ASMR); crude mortality rate; population deprivation; births; pediatric care; adult care; social care; elderly care; critical care; sex; age; Northern Territory; Tasmania; England

Online: 22 May 2024 (11:09:43 CEST)

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A new model for international bed numbers is applied to local area populations for English Clinical Commissioning Groups (CCGs) where the Age Standardized Mortality Rate (ASMR) is used as a measure of population health and hence for total occupied hospital bed demand (elective plus emergency admission types, including acute, rehabilitation, mental health, and maternity), rather than simple bed availability. A 100-unit increase in ASMR (European Standard population) leads to a 15.3 – 30.7 (feasible range) unit increase in occupied beds per 1,000 deaths. ASMR shows why the Australian states of the Northern Territory and Tasmania have an intrinsic higher bed demand than the other states – although in both cases the bed planning methodologies failed to indicate this need and both states show a large bed deficit. Due to the high volatility in bed demand the average bed demand for 2019 was determined by a linear trend using data for 2014/15 to 2019/20 — as the pre-COVID-19 baseline. The slope of the relationship between occupied beds per 1,000 deaths and deaths per 1,000 population shows a power law function. As is to be expected there is scatter around the trend line which will partly arise from uncertainty in the expected occupied beds in 2019, fluctuations in both ASMR and deaths per 1,000 population from one year to another, changes in the number of persons on the elective, outpatient and diagnostic waiting lists, and local area variation in births and consequently upon maternity, neonatal and pediatric bed demand. Additional variation in bed demand will arise from differences in the level of funding for social care, especially elderly care, and to a lesser extent upon patients using private health care, and charitable hospices for palliative care. However, after including the change in bed demand arising from ASMR the model is sufficiently accurate to identify gross differences in bed demand as a prelude to further investigation. The model requires further extension to cover specialty-level demand, and perhaps segregation between elective and emergency types of inpatient demand. A method for benchmarking the whole hospital’s average bed occupancy is given which enables them to run at optimum efficiency and safety. Using this method English hospitals can be shown to operate at highly disruptive and unsafe levels of bed occupancy leading to deleterious ‘turn-away’. Turn-away implies bed unavailability for the next arriving patient. The problems associated with crafting effective bed planning are illustrated using the English NHS as an example.

Preprint ARTICLE | doi:10.20944/preprints202404.0476.v1

Metabolomics on Apple (Malus domestica) Cuticle—Search for Authenticity Markers

Kamila Bechynska, Jiri Sedlak, Leos Uttl, Vit Kosek, Petra Vackova, Vladimir Kocourek, Jana Hajslova

Subject: Chemistry And Materials Science, Food Chemistry Keywords: Malus domestica; apple cuticle; UHPLC-HRMS/MS; metabolomic fingerprints; classification models; markers; wax esters

Online: 8 April 2024 (03:04:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0161.v1

Comparing the Mechanical Properties of Rice Cells and Proto-plasts under PEG6000 Drought Stress Using Double Resonator Piezoelectric Cytometry

Yu Yan, Tiean Zhou, Yu Zhang, Zhicheng Kong, Weisong Pan, Chengfang Tan

Subject: Biology And Life Sciences, Biophysics Keywords: Double Resonator Piezoelectric Cytometry; drought stress; rice cell; protoplasts; cells generated stress; cell viscoelasticity

Online: 2 April 2024 (08:55:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1524.v1

Global Dynamics of Environmental Kuznets Curve: A Cross-Correlation Analysis of Income and CO2 Emissions

Dora Almeida, Luísa Carvalho, Paulo Ferreira, Andreia Dionísio, Inzamam Ul Haq

Subject: Business, Economics And Management, Economics Keywords: Environmental Kuznets curve; CO2 emissions; Economic growth; Cross-correlation analysis; Income levels; Sustainable development

Online: 19 July 2024 (06:35:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201609.0082.v1

Analysis of Inflection and Singular Points on Parametric Curve with a Shape Factor

Zhi Liu, Chen Li, Jieqing Tan, Xiaoyan Chen

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: shape factor; singular points; inflection points; local convexity; global convexity

Online: 23 September 2016 (08:04:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1705.v1

MixDeR: A SNP Mixture Deconvolution Workflow for Forensic Genetic Genealogy

Rebecca Mitchell, Michelle Peck, Erin Gorden, Rebecca Just

Subject: Biology And Life Sciences, Other Keywords: mixtures; SNPs; forensic genetic genealogy (FGG); investigative genetic genealogy (IGG); Kintelligence; software

Online: 24 July 2024 (14:45:02 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1438.v1

From Early Adoption to Mainstream Acceptance: A Case Study on the Distribution of Electric Vehicles in Sweden (2016-2020)

Mikael Levin, Krister Sandberg, Björn Tano

Subject: Social Sciences, Decision Sciences Keywords: EV; market development; passenger car; households; leasing

Online: 25 March 2024 (08:43:22 CET)

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Preprint REVIEW | doi:10.20944/preprints202403.1062.v1

Pectin and Pectin Oligosaccharides Obtained from Agro-Wastes as a Constituents of Soluble Dietary Fibre: Effect on the Stabili-Zation of Intestinal Microbiome and Immunity of Humans and Animals – a Review

Tomasz Marcin Hikawczuk, Patrycja Wróblewska, Anna Szuba-Trznadel, Agnieszka Rusiecka, Andrii Zinchuk, Krystyna Laszki-Szczachor

Subject: Biology And Life Sciences, Food Science And Technology Keywords: dietary fibre; pectin; pectin oligosaccharides; microbiome; GALT

Online: 18 March 2024 (15:41:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1209.v1

Mitigating Effect of the Sea on Temperatures along Mediterra-Nean Coastal Areas: The Case of the Vine Territory of the Matera DOP – Basilicata (Italy)

Pasquale Cirigliano, Stanislao Esposito, Edmondo Di Giuseppe, Andrea Cresti

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: Climate change; Viticulture; Italy-Basilicata region; Bioclimatic indices; Altitude; Temperature; Mediterranean sea

Online: 16 September 2024 (12:21:59 CEST)

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

Wavelet-Based Stochastic Finite Element Analysis of Steel Girders

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

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

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

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Preprint ARTICLE | doi:10.20944/preprints202401.0546.v3

Trans-eQTLs Can Be Used to Identify Tissue-Specific Gene Regulatory Networks

Majid Nikpay

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: trans-eQTLs; tissue specificity; gene regulatory network; scale-free network; Mendelian randomization

Online: 25 September 2024 (12:40:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202402.1061.v1

Enhancing Reliability in Wind Turbine Power Curve Estimation

Pere Marti-Puig, José Ángel Hernández, Jordi Solé-Casals, Moisès Serra-Serra

Subject: Engineering, Energy And Fuel Technology Keywords: Wind Power Curve Modeling; Artificial neural networks (ANN); Wind Turbine (WT); SCADA Data.; Industrial AI

Online: 19 February 2024 (12:24:46 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1615.v1

Comparative Study of Time Series Analysis Algorithms Suitable for Short-term Forecasting in Implementing Demand Response Based on AMI

Myung-joo Park, Hyo-sik Yang

Subject: Computer Science And Mathematics, Computer Science Keywords: Smart Grid, Internet of Things, SCADA, AMI, Demand Response, ARIMA, SARIMA, LSTM, SVM, Short-term Forecasting

Online: 20 September 2024 (11:28:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.2046.v1

Seismic Damage Assessment of Existing Planar Steel X or V-Braced Frames Using the Hybrid "M and P" Technique

Triantafyllos Makarios, Athanasios Bakalis, Evangelos Efthymiou

Subject: Engineering, Civil Engineering Keywords: Damage identification; Steel Braced Frames; Concentric X or V-bracing; Stepping Eigenfrequencies; Capacity Curve; Target Displacement

Online: 29 August 2024 (02:52:28 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1896.v1

MPV17 Prevented Myocardial Ferroptosis and Ischemic Cardiac Injury through Maintaining SLC25A10 Mediated Mitochondrial Glutathione Import

Tao Xu, Guilan Chen

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: ischemia/reperfusion injury; iron overload; myocardial ferroptosis; MPV17; mtGSH

Online: 24 September 2024 (10:49:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1332.v1

Fault-Tolerant Optimal Consensus Control for Heterogeneous Multi-agent System

Yandong Li, Yongan Liu, Ling Zhu, Zehua Zhang

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: uncrewed aerial vehicle; uncrewed ground vehicle; heterogeneous multi-agent system; actuator failures; consensus; Lyapunov stability theory; optimal method

Online: 16 July 2024 (12:28:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1916.v1

The Evolution of Meteorological Satellite Cloud Detection Methodologies

Filomena Romano, Domenico Cimini, Francesco Di Paola, Donatello Gallucci, Salvatore Larosa, Saverio Teodosio Nilo, Elisabetta Ricciardelli, Barbara D Iisager, Keith Hutchison

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: cloud detection; meteorological satellite; remote sensing

Online: 29 May 2024 (07:22:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0375.v1

Analysis and Modeling for Cold Chain Logistics of Agricultural Products Demand Forecasting

Siyuan Wen, Jiankun Li, Rui Wang, Hao Liu

Subject: Business, Economics And Management, Business And Management Keywords: cold chain logistics of agricultural products; demand forecast; principal component analysis, multiple linear regression, neural network.

Online: 19 January 2021 (11:50:09 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.0834.v1

BBPE-AE: A Byte Pair Encoding-Based Auto Encoder for Password Guessing

Samane Ghafari, Leila Safari, Mohsen Afsharchi

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Password Guessing; Cybersecurity; Password Strength Assessment; Autoencoder Network; Long Short-Term Memory (LSTM) Networks; Byte-level Byte Pair Encoding

Online: 11 September 2024 (10:49:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202403.1259.v1

Application of the Discrete Wavelet Transform to Damage Detection in a Guy Cable of Guyed Antenna Mast

Anna Knitter-Piątkowska, Maciej Przychodzki, Michał Guminiak

Subject: Engineering, Civil Engineering Keywords: truss steel mast; guy ropes; finite element method; damage detection; discrete wavelet transform

Online: 21 March 2024 (08:20:12 CET)

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Preprint ARTICLE | doi:10.20944/preprints202409.1528.v1

Assessing Nitrogen Fertilization in Processing Pepper: Critical Nitrogen Curve, and Crop Yield Response

Jose Maria Vadillo, Carlos Campillo, Valme Gonzalez, Henar Prieto

Subject: Biology And Life Sciences, Horticulture Keywords: horticulture; open field; vegetative development; fruit production

Online: 20 September 2024 (03:13:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.0123.v1

Manual Dexterity and Hand Grip Strength Modifications After Application of Transcranial Static Magnetic Field Stimulation (tSMS) Over the Primary Motor Cortex (M1) in Healthy Subjects: A Triple-Blind, Randomized Clinical Trial

Víctor Navarro-López, María Carratalá-Tejada, Antonio Oliviero, Diego Fernández Vázquez, Manuel Del-Valle-Gratacós, Samuel Jiménez Jiménez, Francisco Molina-Rueda

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Manual Dexterity; Motor Cortex; Non-Invasive Brain Stimulation (NIBS); Transcranial Static Magnetic Field Stimulation (tSMS)

Online: 4 June 2024 (08:20:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0213.v1

Quasi Cubic Trigonometric Curve and Surface

Guicang Zhang, Kai Wang

Subject: Computer Science And Mathematics, Computational Mathematics Keywords: Quasi Extended Chebyshev space; optimal normalized totally positive basis; high-order continuity; shape preserving; shape features

Online: 18 October 2019 (11:33:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0021.v1

Solvency II Calibrations: Where Curiosity Meets Spuriosity

Stefan Mittnik

Subject: Business, Economics And Management, Finance Keywords: Solvency capital requirements capital, standard formula, near unit root, spurious correlation, VaR—implied correlations, tail dependence

Online: 12 July 2016 (09:38:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0763.v1

The Nonlinear and Threshold Effect of Built Environment on Ride-Hailing Travel Demand

Jiexiang Yin, Feiyan Zhao, Wenyun Tang, Jianxiao Ma

Subject: Engineering, Transportation Science And Technology Keywords: ride-hailing; built environment; XGBoost; SHAP; nonlinearity

Online: 11 April 2024 (14:10:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1818.v1

Development and Evaluation of Bioconverted Milk with Antimicrobial effect against Oral Pathogens and α-Glucosidase Inhibitory Activity

Yewon Lee, Yohan Yoon, Kyoung-hee Choi

Subject: Biology And Life Sciences, Food Science And Technology Keywords: bioconverted milk; probiotics; Artemisia herba-alba; oral pathogens; α-glucosidase

Online: 28 May 2024 (05:39:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.1264.v1

Long-Range Imaging of Alpha Emitters Using Radioluminescence in Open Environments: Daytime and Nighttime Applications

Lingteng Kong, Thomas Bligh Scott, John Charles Clifford Day, David Andrew Megson-Smith

Subject: Physical Sciences, Radiation And Radiography Keywords: Alpha Radiation Detection; Radio-luminescnece; Alpha Fluorescence; Long-Distance Monitoring; Solar Blind detector

Online: 17 July 2024 (04:49:44 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0090.v1

Clustering and Curve Fitting by Line Segments

Hrishikesh D. Vinod, Fred Viole

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: clustering; curve fitting; nonparametric regression; smoothing data; polynomial approximation

Online: 10 January 2018 (09:48:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202311.0912.v1

Demand Analysis Models to Support Cultural Tourism Strategy: Application of Conjoint Analysis in North Sardinia (Italy)

Cristina Coscia, Francesca Pasquino

Subject: Business, Economics And Management, Econometrics And Statistics Keywords: conjoint analysis; inner territories; willingness to pay; consumer behaviour; Sardinia

Online: 14 November 2023 (11:40:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202312.0078.v1

Agricultural Yield Responses to Climate Variabilities in West Africa: A Food Supply and Demand Analysis

Martin Schultze, Stephen Kankam, Safiétou Sanfo, Christine Fürst

Subject: Environmental And Earth Sciences, Geography Keywords: agriculture; climate variability; crop yield; food supply and demand analysis; West Africa; Ghana; Burkina Faso

Online: 1 December 2023 (11:29:04 CET)

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Agricultural productivity is expected to decrease under changing climate conditions that correspond to the stability of West African food systems. Although numerous studies evaluated food production gaps or impacts of climate variability on crop yields, many uncertainties are associated with climate extremes, but also rapid population growth and the corresponding dietary lifestyle determine farming activities. Here, we present a food supply and demand analysis based on the relationship between climate change, crop production, as well as population growth in three experimental sites from southwestern Burkina Faso to southwestern Ghana. The method consists of a tiered approach that encompassed a statistical analysis of historical climate as well as agricultural time series using boxplots and a trend test by Mann-Kendall. Food balance sheets were calculated by estimating the demand using a population growth model linked to food supply with local consumption patterns. Results of the boxplot analysis revealed for the majority of climate time series light to strong right-skewed distributions with either a few heavy rainfall or hot temperature events. We found almost insignificant rainfall and temperature trends for both sites in the Sudano-Guinean savannah. The rainfall regime of southwestern Ghana indicated an insignificant upward or downward trend while the temperature significantly increased over time. Crop yield boxplots demonstrated mainly right-skewed distributions for cereals, legumes and tubers as well as cash crops such as cotton. Backed by the Mann-Kendall test, maize and sorghum significantly enhanced in both study areas of the Sudano-Guinean savannah. Southwestern Ghana depicted a different crop pattern where cassava and plantain showed a strong upward trend at a confidence level of 1%. The grouped food balances sheets across the regions illustrated a surplus for the Sudano-Guinean savannah ranging from 221.2 megatons (Mt) to 4,846.77 Mt while southwestern Ghana exhibited a deficit between -193.33 Mt and -16,188.82 Mt. Despite a growing yield of various crops, food demand outpaces the regional production. Hence, it is recommended to focus on a larger array of commodities, imports and marketing of farm products.

Preprint ARTICLE | doi:10.20944/preprints202107.0619.v3

Predicting Wealth using Intelligent Quotient, Emotional Awareness, and Culture

Azad Kabir, Raeed Kabir

Subject: Business, Economics And Management, Finance Keywords: Wealth curve; Intelligence quotient (IQ); Emotional Intelligence (EI); Emotional Awareness (EA)

Online: 23 April 2023 (06:05:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0269.v1

Wind Turbine Power Curve Upgrades

Davide Astolfi, Francesco Castellani, Ludovico Terzi

Subject: Engineering, Mechanical Engineering Keywords: wind energy; wind turbines; SCADA; retrofitting; performance evaluation

Online: 20 April 2018 (14:11:15 CEST)

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Preprint COMMENT | doi:10.20944/preprints201608.0166.v1

Regional Inequality in Underdeveloped Areas: A Case Study of Guizhou Province in China

Wei Sun, Xiaona Lin, Yutian Liang, Lu Li

Subject: Social Sciences, Geography, Planning And Development Keywords: Regional inequality; Multilevel regression; Markov chain; Guizhou Province

Online: 17 August 2016 (12:58:58 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.1381.v1

Results on Cumulative Entropic Properties of Consecutive Systems

Mashael A. Alshehri, Mohamed Kayid

Subject: Engineering, Control And Systems Engineering Keywords: Consecutive k-out-of-n:F systems; Cumulative entropy; Shannon entropy; Stochas- tic orders; Real data

Online: 20 August 2024 (03:40:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0202.v2

Remote Sensing and Data Mining Techniques for Assessing the Urban Fabric Vulnerability to Heat Waves and UHI

Flavio Borfecchia, Vittorio Rosato, Emanuela Caiaffa, Maurizio Pollino, Luigi De Cecco, Luigi La Porta, Simone Ombuen, Lorenzo Barbieri, Federica Benelli, Flavio Camerata, Valeria Pellegrini, Andrea Filpa

Subject: Environmental And Earth Sciences, Environmental Science Keywords: HR satellite remote sensing; urban fabric vulnerability; UHI & heat waves; landsat & MODIS sensors; LST & urban heating; segmentation & objects classification; data mining; feature extraction & selection; stepwise regression & model calibration

Online: 26 October 2021 (13:11:23 CEST)

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Densely urbanized areas, with a low percentage of green vegetation, are highly exposed to Heat Waves (HW) which nowadays are increasing in terms of frequency and intensity also in the middle-latitude regions, due to ongoing Climate Change (CC). Their negative effects may combine with those of the UHI (Urban Heat Island), a local phenomenon where air temperatures in the compact built up cores of towns increase more than those in the surrounding rural areas, with significant impact on the quality of urban environment, on citizens health and energy consumption and transport, as it has occurred in the summer of 2003 on France and Italian central-northern areas. In this context this work aims at designing and developing a methodology based on aero-spatial remote sensing (EO) at medium-high resolution and most recent GIS techniques, for the extensive characterization of the urban fabric response to these climatic impacts related to the temperature within the general framework of supporting local and national strategies and policies of adaptation to CC. Due to its extension and variety of built-up typologies, the municipality of Rome was selected as test area for the methodology development and validation. First of all, we started by operating through photointerpretation of cartography at detailed scale (CTR 1: 5000) on a reference area consisting of a transect of about 5x20 km, extending from the downtown to the suburbs and including all the built-up classes of interest. The reference built-up vulnerability classes found inside the transect were then exploited as training areas to classify the entire territory of Rome municipality. To this end, the satellite EO HR (High Resolution) multispectral data, provided by the Landsat sensors were used within a on purpose developed "supervised" classification procedure, based on data mining and “object-classification” techniques. The classification results were then exploited for implementing a calibration method, based on a typical UHI temperature distribution, derived from MODIS satellite sensor LST (Land Surface Temperature) data of the summer 2003, to obtain an analytical expression of the vulnerability model, previously introduced on a semi-empirical basis.

Preprint ARTICLE | doi:10.20944/preprints202304.0144.v1

Impact of Covid-19 Pandemic on Demand and Demand Forecasting in a Furniture Wholesale Company

Riadh Al-Haidari, Shrouq Al-Rawashdeh, Adam Zeidan, Joshua Omambala, Nagendra Nagarur

Subject: Engineering, Other Keywords: COVID-19; Machine learning; Demand Forecasting; Neural network; LSTM ;

Online: 10 April 2023 (04:27:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.1325.v1

Assessing Road Users’ Preference for Various Travel Demand Management Strategies for Adoption in Accra, Ghana

William Kwaasi Amanor, Emmanuel Kofi Adanu, Charles Anum Adams, Solomon Buenor Adi

Subject: Engineering, Transportation Science And Technology Keywords: Accra; congestion; mass transit improvements; travel demand management strategies; walking and cycling improvements

Online: 21 May 2024 (17:21:37 CEST)

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Working Paper ARTICLE

Global Protectionism and Port Logistic Demand

Jungran Cho, Emma Kyoungseo Hong, Jeongho Yoo, Inkyo Cheong

Subject: Business, Economics And Management, Accounting And Taxation Keywords: US-China trade conflict; Port Cargo; WTO Appellate Body; NTBs

Online: 27 December 2019 (12:51:44 CET)

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Preprint ARTICLE | doi:10.20944/preprints202306.2259.v1

Functional Significance of the Curve of Spee: Electro-myographic Analysis of Young Adults-A Preliminary Study

Ilde Bertolino, Pietro Messina, Mohmed Isaqali Karobari, Anand Marya, Giuseppe Alessandro Scardina

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: curve of Spee; electromyographic analysis; young adults

Online: 30 June 2023 (13:17:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0099.v1

Analysis on Steering Performance of Active Steering Bogie According to Steering Angle Control in Curve Section

Hyunmoo Hur, Yujeong Shin, Dahoon Ahn

Subject: Engineering, Control And Systems Engineering Keywords: Active Steering bogie; Steering angle; Steering Performance; Bogie angle; Lateral force; Derailment coefficient

Online: 7 April 2020 (11:58:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1925.v1

Variability in Heating Demand Predictions: A Comparative Study of PHPP and Mc001-2022 in Existing Residential Buildings

Sebastian George Maxineasa, Dorina Nicolina Isopescu, Ioana-Roxana Vizitiu-Baciu, Alexandra Cojocaru, Ligia Mihaela Moga

Subject: Engineering, Civil Engineering Keywords: thermal performance; heating demand; existing residential building; PHPP; Mc001; climatic data

Online: 27 June 2024 (09:29:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202407.0912.v1

The Demand of Forest Bathing in the Northern Italy’s Regions

Francesca Visintin, Ivana Bassi, Vanessa Deotto, Luca Iseppi

Subject: Public Health And Healthcare, Other Keywords: Forest bathing demand; Forest Ecosystem Services; Tourists’ attitude; Willingness To Pay

Online: 11 July 2024 (04:52:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0219.v1

A Model to Estimate the Cost-Effectiveness of Water Pollution Management Strategies in Developing Countries: The Cocody Bay Case, Côte d’Ivoire

Vassiki Sanogo

Subject: Business, Economics And Management, Economics Keywords: pollution; cost-effectiveness analysis; Cocody; environmental policies; environmental constraints

Online: 27 August 2016 (11:01:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.0955.v5

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: 6 July 2023 (10:17:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0789.v1

Short-term Electricity Demand Forecasting using Deep Neural Networks: An analysis for Thai data

Kamal Chapagain, Samundra Gurung, Pisut Kulthanavit, Somsak Kittipiyakul

Subject: Engineering, Electrical And Electronic Engineering Keywords: accuracy; data-driven approach, feed forward neural network; gated recurrent unit; hyper-parameters tuning; long short-term memory; short-term demand forecasting

Online: 12 July 2023 (11:29:06 CEST)

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Electricity demand forecasting plays a significant role in energy markets. Accurate prediction of electricity demand is the key factor to optimize power generation, consumption, saving energy resources, and determining the energy prices. However, integrating energy mix scenarios, including solar and wind power which are highly non-linear and seasonal, into an existing grid increases uncertainty in generation, adds the challenges for precise forecast. To tackle these challenges, state-of-the-art methods and algorithms have been implemented in literature. We have developed Artificial Intelligence (AI) based deep learning models that can effectively handle the information of long time-series data. Based on the pattern of dataset, four different scenarios were developed and two best scenarios were selected for prediction. Dozens of models were developed and tested in deep AI networks. In the first scenario (Scenario1), data for weekdays excluding holidays was taken and in the second scenario (Scenario2) all the data in the basket was taken. Remaining two scenarios, weekends and holidays were tested and neglected because of their high prediction error. To find the optimal configuration, models were trained and tested within a large space of alternatives called hyper-parameters. In this study, an Aritificial Neural Network (ANN) based Feed-forward Neural Network (FNN) showed the minimum prediction error for Scenario1 while a Recurrent Neural Network (RNN) based Gated Recurrent Network (GRU) showed the minimum prediction error for Scenario2. While comparing the accuracy, the lowest MAPE of 2.47% was obtained from FNN for Scenario1. When evaluating the same testing dataset (non-holidays) of Scenario2, the RNN-GRU model achieved the lowest MAPE of 2.71%. Therefore, we can conclude that grouping of weekdays as Senario1 prepared by excluding the holidays provides better forecasting accuracy compared to the single group approach used in Scenario2, where all the dataset is considered together. However, Scenario2 is equally important to predict the demand for weekends and holidays.

Preprint ARTICLE | doi:10.20944/preprints201709.0019.v1

Analysis of Supply and Demand to Enhance Educational Tourism Experience in The Smart Park of Yogyakarta, Indonesia

Ani Wijayanti, Janianton Damanik, Chafid Fandeli, Sudharmadji Sudharmadji

Subject: Social Sciences, Tourism, Leisure, Sport And Hospitality Keywords: Educational Tourism; Tourism Supply and Demand; Experience; Tourism Activities

Online: 6 September 2017 (11:58:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1793.v1

Advanced HPLC Method with Diode Array Detection Using a Phenyl-Bonded Column for Simultaneous Quantitation of Three Sunscreen Filters in a Moisturizing Sunscreen Cream for Acne-Prone Skin

PANAYIOTIS FEIDIAS, Irene Panderi, GEORGIA ELENI TSOTSOU, IOANNA BALATSOUKA, SPYRIDON PAPAGEORGIOU, ATHANASIA VARVARESOU

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: 4-methylbenzylidene camphor; Enzacamene; Octyl methoxycinnamate; 2-ethylhexyl-4-methoxycinnamate, Avobenzone; Butyl methoxydibenzoylmethane; Cosmetics; Sunscreen; HPLC; Quality Control

Online: 24 September 2024 (05:12:56 CEST)

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This study introduces a novel, robust, and efficient method for the simultaneous quantitative determination of three sunscreen filters namely 4-methylbenzylidene camphor, octyl methoxycinnamate, and avobenzone, in a moisturizing sunscreen cream specifically designed for acne-prone skin. The method employs high performance liquid chromatography with photodiode-array detection, providing reliable separation of the analytes. Chromatographic separation was achieved using a Fortis Phenyl analytical column (150.0 x 2.1 mm, 5 μm), with isocratic elution at a flow rate of 0.4 mL/min. The mobile phase was composed of a 57/43 (v/v) mixture of acetonitrile/45 mM aqueous ammonium formate solution, ensuring sufficient resolution and peak symmetry for the target compounds. The method was validated comprehensively for critical performance parameters, including linearity, precision, accuracy, and robustness. Linearity was established across a suitable range for all three analytes, with high correlation coefficients. Precision was confirmed with intra-run and total precision coefficients of variation of ≤ 4.6 %, while accuracy assessments yielded a percent recovery between 98.6 and 100.4, for all quality control levels. Additionally, the method was able to effectively separate the sunscreen filters from other cosmetic ingredients, such as [β-(1.3), (1.6)-D-glucan], Low Molecular Weight (LMW) hyaluronic acid and plant extracts ensuring specificity in complex formulations. This straightforward and time efficient sample preparation process, involving methanol extraction followed by serial dilution, makes the method suitable for routine quality control in cosmetic laboratories. The method was successfully applied to the analysis of two different lots of a commercial sunscreen cream, achieving excellent recovery for all filters, ranging between 94.6% and 99.8%, thus demonstrating its reliability and applicability for the quality control of cosmetics.

Preprint ARTICLE | doi:10.20944/preprints202408.0488.v1

Fractianal Calculus for Non-discrete Signed Measures

Vassili N. Kolokoltsov, Elina Shishkina

Subject: Physical Sciences, Mathematical Physics Keywords: general fractional calculus; fractional integral with signed measure; fractional power of first order partial differential operator; quantum mechanic; fractional Poisson brackets; fractional Heisenberg brackets

Online: 7 August 2024 (17:53:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1596.v1

Estimating Monetary Demand Using a Flexible Model of Almost Ideal Demand System(AIDS)

Jafar Azizi, Afsaneh Jabbari

Subject: Business, Economics And Management, Economics Keywords: Monetary demand function; AIDS; price and non-price elasticity

Online: 24 June 2024 (08:43:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202406.1363.v1

Application of the Transmutation Operator Method to the Solution of an Initial Boundary Value Problem for the Equation of Multidimensional Free Transverse Vibration of a Thin Elastic Plate Containing the Bessel Operator

Shakhobiddin Karimov, Yorkinoy Tulasheva

Subject: Computer Science And Mathematics, Mathematics Keywords: fourth-order equation; plate vibration equation; Bessel operator; transmutation operator; Erdélyi–Kober operator

Online: 19 June 2024 (15:02:19 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201608.0144.v1

Statistical Study on Crash Frequency Model Using GNB Models of Freeway Sharp Horizontal Curve Based on Interactive Influence of 3 Explanatory Variables

Yanjie Zeng, Xiaofei Wang, Lineng Liu, Xinwei Li, Caifeng Jiang

Subject: Engineering, Civil Engineering Keywords: freeway; crash prediction model (CPM); sharp horizontal curve segment (SHCS); interactive influence among three explanatory variables; generalized negative binomial (GNB)

Online: 15 August 2016 (09:47:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1251.v1

Improved Curve–Flattening for Flexible Space Robotics

Wenxin Li, Timothy Sands

Subject: Engineering, Aerospace Engineering Keywords: robotics; flexible; control; structural filter; space robotics

Online: 30 April 2023 (03:39:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0435.v1

Flattening the Curve of Flexible Space Robotics

Timothy Sands

Subject: Engineering, Control And Systems Engineering Keywords: robotics; monitoring; repair; replace; infrastructure; space robotics; flexible; structural-controls interaction; trajectory shaping

Online: 28 January 2022 (12:12:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints201704.0176.v1

Bézier Curve Modeling for Neutrosophic Data Problem

Ferhat Taş, Selçuk Topal

Subject: Computer Science And Mathematics, Mathematics Keywords: neutrosophic sets; neutrosophic logic; bézier curve

Online: 27 April 2017 (02:54:02 CEST)

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

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

Yuwen Zhang, Xiaolan Wu, Shengyuan Wang

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

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

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Preprint ARTICLE | doi:10.20944/preprints202406.0497.v1

Evaluation of Mis-Selection of Boundary Vertebrae and Its Effect on Measuring Cobb Angle and Curve Length in Adolescent Idiopathic Scoliosis

José Hurtado-Avilés, Vicente J. León-Muñoz, Fernando Santonja-Medina, Paolo Raimondi, Francisco Martínez-Martínez

Subject: Medicine And Pharmacology, Orthopedics And Sports Medicine Keywords: adolescent idiopathic scoliosis; Cobb angle; measurement errors; radiographic Assessment; spine curvature

Online: 7 June 2024 (15:16:27 CEST)

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The Cobb angle is critical in assessing adolescent idiopathic scoliosis (AIS) patients. This study aimed to evaluate the error in selecting the cranial and caudal limit vertebrae on AIS digital X-rays of experienced and novice observers and its correlation with the error in measuring the Cobb angle and determining the length of the scoliotic curves. Using the TraumaMeter v.873 software, eight raters (four experienced and four novices) independently evaluated 68 scoliotic curves on 42 AIS X-rays across three sessions one month apart according to Hopkins’ criteria of absolute reliability. Two spine specialist experts using the Cobb method established the gold standard measurements. The percentage of error in the selection of the cranial vertebrae (the most-tilted vertebra above the apex) is higher than in the caudal vertebrae (the most-tilted vertebrae below the apex) (44.7%, CI95% 41.05-48.3 compared to 35%, CI95% 29.7-40.4). The error in the choice of the most tilted vertebrae, in number of vertebrae per scoliotic curve, was MBE (mean bias error) =0.45, CI95% 0.38-0.52 in the cranial and MBE=0.35, CI% 0.69-0.91 in the caudal. The percentage of errors in the choice of boundary vertebrae is lower for the experienced than for the novices, both in cranial and caudal. The experienced chose at least one boundary vertebrae incorrectly in 52% of the meas-urements and the novices in 65.1%. The error in the Cobb angle did not depend on the number of boundary vertebrae chosen incorrectly (r=0.198, p=0.111). Of the 50% of Cobb angle measurements closest to the actual value, 55.4% (454) were obtained by incorrectly selecting at least one boundary vertebra. There was a positive correlation (r=0.673, p=0.000) between the error in selecting the boundary vertebrae and the error in determining the length of the scoliotic curves. The error in quantifying the length of scoliotic curves was MBE=0.43, CI95% 0.35-0.51 vertebrae per curve. We can conclude that errors in selecting boundary vertebrae are common among experienced and novice observers, with a greater frequency of error in the cranial vertebrae. There is no correlation between the error in selecting the boundary vertebrae and the error in measuring the Cobb angle. Contrary to the consensus, the accuracy of determining the length of the scoliotic curve is limited by the Cobb method’s reliance on the correct selection of boundary vertebrae. Inappropriate choice of boundary vertebrae leads to an estimated error in determining the length of the scoliotic curves of 0.805 vertebrae for each boundary vertebra chosen incorrectly.

Preprint ARTICLE | doi:10.20944/preprints201608.0069.v1

Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes

Deli Zhai, Jinwei Dong, Georg Cadisch, Mingcheng Wang, Weili Kou, Jianchu Xu, Xiangming Xiao

Subject: Environmental And Earth Sciences, Environmental Science Keywords: Rubber (Hevea brasiliensis) plantation; phenology; Xishuangbanna; Landsat; object-based approach; pixel-based approach

Online: 6 August 2016 (11:54:28 CEST)

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

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

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

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

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

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Preprint ARTICLE | doi:10.20944/preprints202406.1592.v1

New Physically-Based Mathematical Model and Experiments for a Recently Invented Solar Pot

Márton Rátkai, Gábor Géczi, Richárd Kicsiny, László Székely

Subject: Engineering, Mechanical Engineering Keywords: solar cooking; solar pot; mathematical modelling; simulation results; measurements

Online: 24 June 2024 (08:16:07 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201607.0051.v1

Search for QPOs in the Light Curve of the Blazar OJ287: Preliminary Results from 2015/16 Observing Campaign

S. Zola, M. Valtonen, G. Bhatta, A. Goyal, B. Debski, A. Baran, J. Krzesinski, M. Siwak, S. Ciprini, A. Gopakumar, H. Jermak, K. Nilsson, D. Reichart, K. Matsumoto, K. Sadakane, K. Gazeas, M. Kidger, V. Piirola, F. Alicavus, K.S. Baliyan, A. Berdyugin, D. Boyd, M. Campas Torrent, F. Campos, J. Carrillo Gomez, D.B. Caton, V. Chavushyan, J. Dalessio, D. Dimitrov, M. Drozdz, A. Erdem, A. Escartin Perez, V. Fallah Ramazani, A.V. Filippenko, F. Garcia, F. Gomez Pinilla, M. Gopinathan, J.B. Haislip, J. Harmanen, G. Hurst, K.M. Ivarsen, M. Jelinek, A. Joshi, M. Kagitani, N. Kaur, N. Karaman, W.C. Keel, A.P. LaCluyze, B.C. Lee, E. Lindfors, J. Lozano De Haro, J.P. Moore, R. Naves Nogues, A.W. Neely, R.H. Nelson, W. Ogloza, S. Okano, J.C. Pandey, M. Perri, P. Pihajoki, G. Poyner, J. Provencal, T. Pursimo, A. Raj, R. Reinthal, S. Sadegi, T. Sakanoi, J.-L. Salto Gonzales, T. Schweyer, F.C. Soldan Alfaro, E. Sonbas, I. Steele, J.T. Stocke, J. Strobl, L.O. Takalo, T. Tomov, L. Tremosa Espasa, J.R. Valdes, J. Valero Perez, F. Verrecchia, J.R. Webb, M. Yoneda, M. Zejmo, W. Zheng, J. Telting, J. Saario, T. Reynolds, A. Kvammen, E. Gafton, R. Karjalainen, P. Blay

Subject: Physical Sciences, Astronomy And Astrophysics Keywords: galaxies: active; BL Lacertae objects: individual (OJ 287); super massive black holes

Online: 18 July 2016 (10:46:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202408.0859.v1

Optimization of Supply-Demand Balance Dispatching and Economic Benefit Improvement in the Multi-Energy Virtual Power Plant within the Jiangxi Power Market

Tang Xinfa, Wang Jingjing, Wang Yonghua, Wan Youwei

Subject: Engineering, Electrical And Electronic Engineering Keywords: multi‐energy virtual power plant; Balance between supply and demand; Scheduling planning optimization; Multi‐objective optimization algorithm; Energy efficiency of renewable energy

Online: 14 August 2024 (09:15:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0140.v1

Production -Marketing Coordination under Demand and Lead -Time Uncertainty

Cuiling Ran, Wei He

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: leadtime; demand uncertainty; revenue -sharing contract; production -marketing coordination

Online: 6 August 2020 (08:56:04 CEST)

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Working Paper ARTICLE

Flattening COVID-19 Curve in Egypt: An Epidemiological Modelling

Ali Hasab

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: COVID-19; Egypt; Epidemic SIR Model; Pandemic; Flattening the curve

Online: 14 May 2020 (15:12:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0326.v1

Curve Path Detection in Autonomous Vehicle using Deep Learning

Balasriram Kodi, Manimozhi M

Subject: Engineering, Automotive Engineering Keywords: autonomous vehicles, lane detection, curve path detection, convolutional neural networks, deep learning

Online: 24 May 2018 (04:56:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0061.v1

Curve Number Applications for Restoration the Zarqa River Basin

Maisa'a W. Shammout, Muhammad Shatanawi, Jim Nelson

Subject: Environmental And Earth Sciences, Environmental Science Keywords: water scarcity; watershed restoration; land use distribution; soil type; curve number; Zarqa River’s flow simulation; end-users

Online: 8 January 2018 (09:59:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202403.1110.v1

CCLR-DL: A Novel Statistics and Deep Learning Hybrid Method for Feature Selection and Forecasting Healthcare Demand

Guillem Hernández Guillamet, Francesc López Seguí, Josep Vidal Alaball, Beatriz López Ibáñez

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; explainability; feature selection; Granger causality; health demand modelling; LSTM; multivariate time-series forecasting

Online: 22 March 2024 (07:31:07 CET)

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Preprint REVIEW | doi:10.20944/preprints201612.0048.v1

A Review on Phytochemistry and Pharmacology of Cortex Periplocae

Yang Li, Jin Li, Kun Zhou, Jun He, Jun Cao, Ming-Rui An, Yan-Xu Chang

Subject: Medicine And Pharmacology, Pharmacology And Toxicology Keywords: Cortex Periplocae; traditional Chinese medicines; periplocin; phytochemistry; biological activities

Online: 8 December 2016 (10:24:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.0734.v1

Validation of OLCI Sentinel-3 water products in the Baltic Sea and evaluating the effect of System Vicarious Calibration (SVC)

Sean O’Kane, Tim McCarthy, Rowan Fealy, Susanne Kratzer

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: OLCI; Sentinel-3; C2RCC; System Vicarious Calibration (SVC); Baltic Sea; Coloured Dissolved Organic Matter (CDOM); Chlorophyll-a; Total Suspended Matter (TSM)

Online: 12 August 2024 (11:25:32 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202406.0396.v1

Copper Supplementation in Young Wistar Rats

Klaudia Kitala–Tańska, Anetta Hanć, Jerzy Juśkiewicz, Michał Majewski

Subject: Medicine And Pharmacology, Medicine And Pharmacology Keywords: aortic rings; copper; vascular studies

Online: 7 June 2024 (02:51:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202409.1407.v1

Exploring Demand: Challenges and Opportunities for Free-from and Organic Foods

Teresa Lemos, Elisabete Pinto, Marta Vasconcelos, Sérgio Sousa, Simão Pinho, Ana M. Gomes

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: consumer behavior; food intolerances; free-from food products; market demand; organic products; Portugal

Online: 19 September 2024 (07:40:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0449.v1

Expert Demand for Consumer Sleep Technology Features and Wearable Devices

Jaime K Devine, Lindsay P Schwartz, Jake Choynowski, Steven R Hursh

Subject: Social Sciences, Behavior Sciences Keywords: behavioral economics; wearables; consumer sleep technology; Internet of Things; economical survey; expert elicitation

Online: 28 December 2021 (13:58:14 CET)

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Preprint ARTICLE | doi:10.20944/preprints202001.0008.v1

Energy Demand Relationship: Theory and Empirical Application. A Short Note

Fakhri J. Hasanov, Jeyhun L. Mikayilov

Subject: Business, Economics And Management, Economics Keywords: theory of energy demand; empirical application; cointegration; theory-driven approach; data-driven approach

Online: 2 January 2020 (04:22:15 CET)

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Preprint REVIEW | doi:10.20944/preprints202309.2068.v1

Demand-Oriented Review of Dynamic Energy Loss Monitoring System for Primary School Buildings through Micro-Environmental Data Monitoring and Occupant Behavior Analysis

Zhen Peng, Yanan Yu, Rui Guan

Subject: Engineering, Architecture, Building And Construction Keywords: school buildings; building dynamic energy loss; microenvironment; occupants’ behavior

Online: 30 September 2023 (10:16:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202307.0773.v1

A New Definition of Dual Spline Curves for Curve Modeling and Geometry Defeaturing

Baotao Chi, Shengmin Bai, Qianjian Guo, Yaoming Zhang, Wei Yuan, Can Li

Subject: Computer Science And Mathematics, Geometry And Topology Keywords: Dual spline curves; Adaptive curve refinement; Curve modeling; Geometry defeaturing

Online: 12 July 2023 (05:50:49 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0487.v1

Modelling Buildings in CityGML LOD1: Building Parts, Terrain Intersection Curve and Address Features

Evgeny Shirinyan, Dessislava Petrova-Antonova

Subject: Engineering, Architecture, Building And Construction Keywords: 3D City Model; CityGML 2.0; Spatial Data Integration

Online: 30 December 2021 (12:51:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints202408.0767.v1

Isometric Force-Time Curve Assessment: Accuracy, Precision and Repeatability of a Mobile Application and Portable and Lightweight Device—The DINABANG^®

Dario Santos, Alfredo Bravo-Sánchez, Leonardo Alexandre Peyré-Tartaruga, Franco Simini, Rodrigo Zacca

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: exercise; health; physical fitness; rehabilitation; physical therapy; strength assessment; exercise physiology; sports biomechanics; digital technology

Online: 12 August 2024 (09:58:55 CEST)

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

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

Pavol Martiš, Zuzana Košutzká, Andreas Kranzl

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

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

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Preprint COMMUNICATION | doi:10.20944/preprints202210.0466.v1

R-Curve Behavior of Polyhedral Oligomeric Silsesquioxane (POSS)–Epoxy Nanocomposites

Kunal Mishra, Raman Singh

Subject: Chemistry And Materials Science, Polymers And Plastics Keywords: Polymer matrix composites; POSS; Fracture mechanics; J-integral; Stress intensity factor; Scanning electron microscopy

Online: 31 October 2022 (06:19:34 CET)

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Preprint ARTICLE | doi:10.20944/preprints202303.0243.v1

Balancing Electricity Supply and Demand in a Carbon-Neutral Northern Europe

Lisa Göransson

Subject: Engineering, Energy And Fuel Technology Keywords: flexibility measures; variation management; VRE; electricity system modeling; wind power inte-gration; solar power integration; sector coupling

Online: 14 March 2023 (03:53:07 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0165.v2

Geospatial-Temporal and Demand Models for Opioid Admissions, Implications for Policy

Lawrence Fulton, Zhijie Dong, Benjamin Zhan, C. Scott Kruse, Paula Stigler Granados

Subject: Medicine And Pharmacology, Pharmacy Keywords: opioids, GIS, random forests

Online: 18 June 2019 (11:15:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0613.v1

Measurement of Continuous Cooling Transformation Curve and High Temperature Mechanical Properties for 12Mn Steel

Sheng tao Qiu, Jun Wei

Subject: Engineering, Automotive Engineering Keywords: 12Mn steel; round billet; thermal mechanical simulation; CCT curve; diatometer method; JmatPro; tensile strength; the reduction of area; stress-strain curve; Thermal-cal software

Online: 25 March 2021 (11:44:06 CET)

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Preprint ARTICLE | doi:10.20944/preprints202407.1904.v1

Key Drivers of Consumption, Conceptual, Sensory, and Emotional Profiling of Cheeses Based on Origin and Consumer Familiarity: A Case Study of Local and Imported Cheeses in Greece

Malamatenia Panagiotou, Efstathios Kaloudis, Danai Ioanna Koukoumaki, Vasiliki Bountziouka, Evangelia Giannakou, Margarita Pandi, Konstantinos Gkatzionis

Subject: Biology And Life Sciences, Food Science And Technology Keywords: cheese; social media; Flash Profile; focus groups; protected designation of origin

Online: 24 July 2024 (08:06:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0108.v1

Scheduling Non-preemptible Jobs to Minimize Peak Demand

Sean Yaw, Brendan Mumey

Subject: Computer Science And Mathematics, Computer Science Keywords: peak demand minimization; job scheduling; approximation algorithms; smart grid

Online: 22 September 2017 (10:08:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201708.0086.v1

Forecasting Algorithms for Recurrent Patterns in Consumer Demand

Tetiana Boiko, Oleg Karpenkov, Bulat Rakhimberdiev

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: seasonality; forecasting; pull and push models; denoising

Online: 25 August 2017 (08:21:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.1366.v1

Long-Term Forecast of Energy Demand Towards a Sustainable Future in Renewable Energies focused on Geothermal Energy in Peru (2020–2050): A LEAP Model Application

Diego G. De la Cruz Torres, Luis F. Mazadiego, David Bolonio Martín, Ramón Rodríguez Pons-Esparver

Subject: Environmental And Earth Sciences, Sustainable Science And Technology Keywords: Energy efficiency; climate change; renewable energy; fossil fuels; geothermal energy; greenhouse gases; energy demand

Online: 22 April 2024 (10:16:48 CEST)

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The purpose of the evaluation of the Peruvian energy generation system is to project the electricity generation and demand until the year 2050. To achieve this, three alternative scenarios have been defined and analyzed using the LEAP (Long-range Energy Alternatives Planning) software. The scenarios are as follows: the first one, Business-as-Usual scenario, based on normal trends according to historical data and referencing projections made by Peruvian state entities; the second one is focused on Energy Efficiency, the highlighted characteristic is taking into consideration the efficient conditions in transmission and distribution of electric energy; and the third one, centered on Geothermal Energy, focused on the development of this type of energy source and prioritizing it. The primary purpose of this analysis is to identity advantages and disadvantages inherent in each scenario in order to get the best of each one. In this way, the intention is to propose solutions based on Peru’s national reality or possible uses of the country’s energy potential to supply its energy demand. Currently, Peru’s energy demand relies on fossil fuels, hydraulic, and thermal energy. However, there is the possibility of transforming this system into a sustainable one, by strengthening existing and growing energy sources such as solar and wind energy, and new technologies for hydraulic and thermal energy, in addition to considering geothermal energy as the main energy source in the third scenario. The new system mentioned satisfactorily indicate that the CO2 equivalent emissions decrease significantly in the third scenario, with a 15.8% reduction compared to the first scenario and a 9.7% reduction in comparison to the second. On the other hand, the second scenario shows a 5.6% decrease in CO2 emissions compared to the first, resulting from improvements in technology and energy efficiency without requiring significant modifications or considerable investments, as in the third scenario.

Preprint ARTICLE | doi:10.20944/preprints202401.0618.v1

Enhancing Privacy in the Internet of Vehicles via Hyperelliptic Curve Cryptography

George Routis, Panagiotis Dagas, Ioanna Roussaki

Subject: Computer Science And Mathematics, Security Systems Keywords: Internet of Things (IoT); Internet of Vehicles (IoV); Vehicular Ad-hoc Networks (VANETs); vehicle privacy; digital certificates; digital signatures; ECC; HECC; energy consumption; message size; Arduino; Zigbee

Online: 8 January 2024 (10:52:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints202010.0609.v1

To Bend the Curve of Terrestrial Biodiversity, Place Agency Centre Stage

Claude Garcia, Sini Savilaakso, Marieke Sassen, Natasha Stoudmann, René W. Verburg, Fabien Quétier, Miguel B. Araújo, Jean-François Bastin, Laurence Boutinot, Hélène Dessard, Anne Dray, Philip Fernbach, Scott Francisco, Jaboury Ghazoul, Laurène Feintrenie, Babak Naimi, Johan Oszwald, Stephan A. Pietsch, Brian E. Robinson, Plinio Sist, Steven A. Sloman, Terry Sunderland, Cédric Vermeulen, Lucienne Wilmé, Sarah J. Wilson, Patrick O. Waeber

Subject: Environmental And Earth Sciences, Atmospheric Science And Meteorology Keywords: agency; transition; cognition; land-use change; games; democracy

Online: 29 October 2020 (11:24:42 CET)

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Preprint BRIEF REPORT | doi:10.20944/preprints202004.0353.v1

Can Innate Immunity Flatten the Curve? Covid-19 – A Case Study

Sangam Banerjee

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: COVID-19; innate immunity

Online: 19 April 2020 (16:54:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202405.0942.v1

Removing Microplastics from Aquatic Environments with Iris 2 Pseudacorus and Lythrum anceps

Yoosun Kim, Kiyoung Park, Jonghyeok Bak, Sueran Choi

Subject: Biology And Life Sciences, Horticulture Keywords: Plastics; Phytoremediation; Aquatic plants

Online: 14 May 2024 (09:03:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202404.0992.v1

Efficient Quality Control of Peptide Pools

Gaby Bosc-Bierne, Shireen Ewald, Oliver J. Kreuzer, Michael G. Weller

Subject: Chemistry And Materials Science, Analytical Chemistry Keywords: peptide pools; quality control; UHPLC-UV-HRMS; relative quantification; substance confirmation; structure; cost efficiency; CEF; infectious diseases; orbitrap

Online: 15 April 2024 (14:56:29 CEST)

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Abstract: Peptide pools composed of short amino acid sequences have proven to be versatile tools in various research areas and clinical applications. They are powerful tools for epitope mapping, immunotherapy, and vaccine development. Their importance lies in their ability to map complex protein structures, enabling a comprehensive understanding of immune responses and facilitating the identification of potential therapeutic agents. The application of peptide pools also extends to the field of personalized medicine, offering tailored solutions for diseases such as cancer and infectious diseases. Peptide pools are complex mixtures of immunostimulatory antigens primarily intended for T-cell stimulation. They are commercially available in many different compositions and variants. However, unlike other reagents that consist of only one or a few compounds, peptide pools are highly complex products with limited stability. This makes their quality control a major challenge. Quantitative peptide analysis usually requires sophisticated methods, in most cases isotope-labeled standards and reference materials. None of these are routinely available for these products. Synthesis and purification of all labeled peptides might be required. Usually, this approach would be prohibitively laborious and expensive. Therefore, an approach is needed to provide a practical and feasible method for quality control of peptide pools. With insufficient quality control, the use of such products could lead to incorrect experimental results, which would worsen the well-known reproducibility crisis in the biomedical sciences. Here we propose the use of ultra-high performance liquid chromatography (UHPLC) with two detectors, a standard UV detector (at 214 nm) for quantitative analysis and a high-resolution mass spectrometer (HRMS) for identity confirmation. To be cost-efficient and fast, quantification and identification are performed in one chromatographic run. An optimized protocol is shown, and different peak integration methods are compared and discussed. This work was performed using a peptide pool known as CEF, which consists of 32 peptides derived from cytomegalovirus (CMV), Epstein-Barr virus (EBV) and influenza virus, ranging from 8 to 12 amino acids in length.

Preprint ARTICLE | doi:10.20944/preprints202305.1537.v1

Global Gas and LNG Markets: Demand, Supply Dynamics, and Implications for the Future

Rodrigo Pereira Botão, Hirdan Katarina De Medeiros Costa, Edmilson Moutinho Dos Santos

Subject: Environmental And Earth Sciences, Environmental Science Keywords: global gas; LNG; supply and demand dynamics; market outlook; investment needs

Online: 23 May 2023 (02:57:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202405.1442.v1

Revalidation of DNA Fragmentation Analyses for Human Sperm—Measurement Principles, Comparative Standards, Calibration Curve, Required Sensitivity, and Eligibility Criteria for Test Sperm—A Step-by-Step Approach to Cohort Studies with Multivariable Analyses

Satoru Kaneko, Yuki Okada

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: DNA fragmentation; single-cell pulsed-field gel electrophoresis; human sperm; sperm chromatin structure assay; sperm chromatin dispersion test; comet assay; quantitative analysis

Online: 23 May 2024 (08:19:18 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202010.0516.v1

Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems

Shutang You

Subject: Engineering, Energy And Fuel Technology Keywords: Frequency response characteristic (FRC) curve; frequency response; renewable generation; governor

Online: 26 October 2020 (11:40:43 CET)

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Preprint REVIEW | doi:10.20944/preprints202304.1087.v1

Renal Oxygen Demand and Nephron Function: Is Glucose a Friend or Foe?

Edoardo Gronda, Massimo Iacoviello, Alberto Palazzuoli, Manuela Benevenuto, Domenico Gabrielli, Arduino Arduini

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: glucose transport; SGLT2 inhibitor; diabetic nephropathy; heart failure; chronic kidney disease

Online: 28 April 2023 (03:08:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0084.v1

Biomass-Based Innovations in Demand Driven Research and Development Projects in Africa

Raymond Jatta, Nana Afranaa Kwapong, Bertrand Festus Nero, Oluwole Fatunbi

Subject: Biology And Life Sciences, Other Keywords: demand driven research; biomass; innovation; Ghana

Online: 5 July 2018 (08:09:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202304.1137.v1

V2G Strategies to Flatten the Daily Load Curve in Seoul, South Korea

Sangbong Choi, Changsoo Kim, Backsub Sung

Subject: Engineering, Electrical And Electronic Engineering Keywords: V2G strategie; daily load curve; charging location; discharging location; time-of-use (TOU); system marginal price (SMP)

Online: 28 April 2023 (07:25:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202202.0157.v1

Identify the Mathematical Models Generated by the Table Curve 3 D Program

Emilian Mosnegutu, Mirela Panainte-Lehadus, Valentin Nedeff, Claudia Tomozei, Narcis Barsan, Dana Chitimus, Marcin Jasinski

Subject: Computer Science And Mathematics, Mathematics Keywords: mathematical models; Table Curve 3D; correlation coefficient

Online: 11 February 2022 (08:35:16 CET)

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Working Paper REVIEW

Bending the Curve of Global Freshwater Biodiversity Loss – An Emergency Recovery Plan

David Tickner, Jeff Opperman, Robin Abell, Mike Acreman, Angela H. Arthington, Stuart E. Bunn, Steven J. Cooke, James Dalton, Will Darwall, Gavin Edwards, Ian Harrison, Kathy Hughes, Tim Jones, David Leclère, Abigail J. Lynch, Philip Leonard, Michael E. McClain, Dean Muruven, Julian D. Olden, Steve Ormerod, Rebecca E. Tharme, Michele Thieme, Klement Tockner, Mark Wright, Lucy Young

Subject: Environmental And Earth Sciences, Ecology Keywords: River restoration; wetlands; freshwater conservation; Sustainable Development Goals; Convention on Biological Diversity

Online: 29 October 2019 (11:13:47 CET)

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Preprint CASE REPORT | doi:10.20944/preprints202308.0535.v1

PM-Gati Shakti: A Case Study of Demand Forecasting

SujayKumar Reddy M, Gopakumar G

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Machine Learning; Time-Series Forecasting; Demand Forecasting; PM Gati-Shakti; Ministry of Power; Delhi

Online: 7 August 2023 (10:45:42 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0254.v1

Online Demand Side Management with PEVs Using Stochastic Optimization

Moses Acquah, Byeonggu Yu, Sekyung Han

Subject: Engineering, Electrical And Electronic Engineering Keywords: demand-side management; peak demand control; dynamic-interval density forecast; stochastic optimization; dimension reduction; battery energy-storage system (BESS), plugged-in electric vehicles (PEV); vehicle-to-grid (V2G); building energy-management systems (BEMS)

Online: 15 June 2018 (13:01:42 CEST)

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