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Modeling the number of confirmed cases of COVID-19 in East Java using negative binomial regression based on least square spline estimator

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AIP Conference Proceedings 2024年第1期3083卷

作者： Arip Ramadan Nur Chamidah I. Nyoman Budiantara Student of Doctoral Study Program of Mathematics and Natural Sciences Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia. Department of Information System School of Industrial and System Engineering Telkom University Surabaya 60231 Indonesia. Department of Mathematics Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia. Research Group of Statistical Modeling in Life Science Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia. Department of Statistics Faculty of Sciences and Data Analytics Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia.

The East Java Province has experienced a significant surge in number of confirmed cases of COVID-19. This study endeavors to investigate the potential correlation between weather conditions and the incidence of number of confirmed cases of COVID-19 in East Java. To achieve this, a nonparametric regression model, specifically, the Negative Binomial Regression (NBR) model based on the least squares spline estimator, was utilized. The outcomes of the study indicate that the Mean Absolute Percentage Error (MAPE) of nonparametic regression model is 0.30. Meanwhile, the MAPE for the parametric regression model is 0.34. The results show that a nonparametric regression model approach is better than parametric regression model approach. The study establishes that the truncated spline estimator based NBR model represents the best fit, with an MLCV value of -256.71. The findings of the study suggest that a temperature less than 21.75°C is associated with a decrease of 13.28 number of confirmed cases of COVID-19 per each 1°C increase, while a temperature between 21.75°C and 25.78°C is linked to an increase of 6.85 number of confirmed cases of COVID-19 per each 1°C increase. In contrast, a temperature greater than 25.78°C is associated with a decrease of 139.42 number of confirmed cases of COVID-19 per each 1°C increase. Similarly, a wind speed less than 5.57 m/s is related to a decrease of 12.99 number of confirmed cases of COVID-19 per each 1 m/s increase, whereas a wind speed between 5.57 m/s and 8.99 m/s is associated with a decrease of 10.29 number of confirmed cases of COVID-19 per each 1 m/s increase. Furthermore, a wind speed greater than 8.99 m/s is linked to a decrease of 19.16 number of confirmed cases of COVID-19 per each 1 m/s increase. The study provides evidence that higher temperatures and wind speeds result in a slower rise in the incidence of the number of confirmed cases of COVID-19. Consequently, it is recommended that the local government remains vigilant du

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Using design expert d-optimal for formula optimization of functional drink that enriched with moringa leaf extract (Moringa oleifera)

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IOP Conference Series: Earth and Environmental Science 2021年第1期759卷

作者： M A Kahfi A N Sutisna H Ainia A R Cecep Food Technology Study Program Faculty of Engineering Pasundan University Bandung Indonesia Research Center for Appropriate Technology Indonesian Institute of Sciences Subang Indonesia

The nutritional content found in Moringa leaf can be used as a supporting substance, the utilization of Moringa leaf extract as for the enrichment of drink products that are ready for consumption such as instant drink products. The use of Moringa leaf extract as an instant drink is an innovation of a local food product to help girl adolescent that are already menstruating to prevention iron deficiency anemia. The purpose of this study was to determine the optimization of the instant drink formula enriched with Moringa leaf extract using the Expert D-Optimal Design. The research stages were conducted by: (1) preparation of the Moringa leaf extract, (2) determination of the fillers from cassava flour, modification cassava flour, and dextrins, (3) characterization of the instant drinks with selected fillers, (4) Moringa leaf enriched instant drink formula optimization using the program of Design Expert-12 the Mixture Design method. The research results based on the prediction of the program of Design Expert-12 show that the optimized formula from 38.01% moringa leaf extrac and 29.94% dextrins with desirability value is 0.521. Verification result has a water soluble time of 17.54 seconds; water insoluble part 0.002%; yield 61.15%; bulk density 0.72 g/mL; 64.65 degrees of brightness; moisture content 1.32%; ash content 0.27%; pH 3.22; antioxidant activity 0.00027; tannin content 0.07%; iron content 3.47 μg/mL and organoleptic values include color 4.15; aroma 3.99; taste 3.94; and overall 4.02.

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The effect of lard concentration and ozonation on changes in polarization angle of olive oil

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Journal of Physics: Conference Series 2021年第1期1943卷

作者： F A Saputra M Azam F Arianto K F Sofjan H Sugito I Alkian Department of Physics Faculty of Science and Mathematics Diponegoro University Semarang Indonesia 50275 Study Program of Automation Engineering Technology Vocational School Diponegoro University

This research aims to analyze the effect of ozone exposure time and lard mixture on the polarization angle of transmission of olive oil. The study uses a transmission polarization method with a laser (λ = 532 nm) as a light source. The research sample in the form of olive oil mixed with lard at a concentration of 10, 20, 40, and 80%, with an ozone exposure time of 0-30 minutes. The sample is subjected to external electric fields with variations from 0-4.5 x 102 kV/m to increase the change's polarization angle. The results showed that the change in polarization angle would change linearly with the increase in lard concentration with olive oil. Olive oil with a low concentration of lard (10%) experienced an increase in the change in polarization angle with a value of 0.31 ° due to the effect of 90 minutes of ozone exposure. In general, the results of the study showed that increased concentrations of lard, ozone exposure time, electric field strengths caused an increase in changes in the polarization angle in a mixture of olive oil and lard.

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study of Bridge Parameters on Aerodynamic Performance of Steel Arch Bridge

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IOP Conference Series: Earth and Environmental Science 2021年第1期794卷

作者： Made Suangga Selly Hena Permatasari Herry Irpani Civil Engineering Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Master Program Civil Engineering Department Tarumanagara University Jakarta Indonesia 11480 Ministry of Public Work and Housing Jl. Pattimura No. 20 Jakarta Indonesia

Aerodynamic stability is a condition required in the planning of long span bridges. Not all countries have detailed planning rules for aerodynamic stability. One of the rules that is often referred to for long span bridge planning is the Design Rules for Aerodynamic Effects on Bridges BD 49/01. This paper will discuss the effect of the value of the average wind speed per hour (Vr), mass per unit length (m) and frequency (f) on The Aerodynamic Susceptibility Parameter (Pb), critical velocity of vortex excitation (Vcr), vibration amplitude for vortex excitation (ymax), critical speed for galloping and stall flutter (Vg), and critical speed for classical flutter (Vf) refer to Design Rules for Aerodynamic Effects on Bridges BD 49/01. The value of the average wind speed per hour (Vr), mass per unit length (m) and frequency (f) will be varied for case study of Teluk Mesjid Bridge a steel arch bridgelocated in Riau Province, Sumatra Island of Indonesia.

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Characteristics of gradual discharging process on a thermosyphon SWH tank containing PCM 4

Characteristics of gradual discharging process on a thermosy...

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4th International Conference on Science and Technology, ICST 2018

作者： Nadjib, Muhammad Suhanan Waluyo, Joko Department of Mechanical and Industrial Engineering Faculty of Engineering Gadjah Mada University Yogyakarta Indonesia Mechanical Engineering Study Program Faculty of Engineering Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia

ISBN: (纸本)9781538658130

This paper aims to reveal the characteristics of thermal energy release in a solar water heater (SWH) tank involving phase change materials (PCM) as thermal energy storage material. A bundle of cylindrical capsules was inserted in 31.37 liters of SWH tank. The capsule contains paraffin wax as latent type heat storage. K type thermocouples were mounted on the water side and the PCM side. Experiments was begun with the charging process using solar energy until water temperature exceeds the melting temperature of PCM. After that, a gradual discharging process is done to release the thermal energy from the tank. The SWH tank containing 17.3 liters of water can produce 60 liters of hot water with an average water temperature of 45.13 °. This condition is achieved when the average daily radiation intensity is 699.92 W/m2. The PCM has contributed in storing thermal energy during the discharging process. © 2018 IEEE.

关键词： Phase change materials

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Automating CAD for creating assembly structure from Bill of Materials

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IOP Conference Series: Materials Science and engineering 2021年第1期1034卷

作者： Nanang Ali Sutisna Nasir Widha Setyanto Mechanical Engineering Department Faculty of Engineering President University Jababeka Education Park Jl. Ki HajarDewantara Cikarang Bekasi 17550 Indonesia Professional Engineer Study Program Faculty of Engineering Brawijaya University Jl. MT Haryono 167 Malang 65145 Indonesia

This paper presents the development of an add-on for CAD system generating assembly structure automatically based on a given Bill of Materials (BOM). The BOM in Excel format is scanned by the system and the system arrange 3D CAD files into assembly at in CATIA V5 CAD system automatically. This program has been tested and succeeded well at compiling 3D assembly based on 3D part file data that is available or not available. If the 3D file is not available then the 3D assembly is still generated according to the assembly structure listed on Excel file but its 3D representation does not appear.

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Concrete Brick Production Using a Mixture of Paint Waste by Solidification Process

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IOP Conference Series: Materials Science and engineering 2021年第1期1053卷

作者： P Purwanto S Sudarno A D P Citra Green Technology Research Center School of Postgraduate Studies Universitas Diponegoro Semarang Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Diponegoro Semarang Indonesia Department of Environmental Engineering Faculty of Engineering Universitas Diponegoro Semarang Indonesia Study Program of Optometry Universitas Widya Husada Semarang Semarang Indonesia

Unutilized hazardous and toxic waste requires management and landfill costs. Hazardous and toxic paint waste can be used as additional raw material to make brick products through solidification. Concrete bricks are made from a mixture of cement (1 part) and sand (14 parts) with the addition of water for mixing purpose. The mixture composition is 0,1,2,4,6, and 8% by using paint waste as the raw material added. Then, the quality of concrete brick products is tested on compressive strength and water permeability. The test results can be used as recommendations for the use of paint waste into products and reduce waste management costs.

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Effect of pH and Extraction Time on Isolation Proteins from Red Kupang (Musculita Senhousia)

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Journal of Physics: Conference Series 2021年第1期1899卷

作者： S S Santi F Maulida S Khumairoh TPD Rahmani Chemical Engineering Department Faculty of Engineering UPN 'Veteran' Jawa Timur Jl. Raya Rungkut Madya Gunung Anyar Surabaya 60294 Biology Program Study Walisongo State Islamic Semarang

Red Kupang (Musculista senhausia) is one of the fisheries resources included in the bivalve class. Red Kupang is commonly found in the waters of Surabaya, Sidoarjo, Pasuruan, and the coast of the Madura Strait. The nutritional components contained in red mussel meat include 75.48% water content, 1.93% ash content, 15.02% protein, 6.17% fat, and 1.41% carbohydrate. The nutrient content of red mussels that can be utilized is protein. So that red mussels can be used as an alternative source of animal protein. For this reason, this research is carried out namely isolation of proteins against red mussels. Isolation can be carried out by means of extraction, where the pH and time of extraction affect this process. The research began with washing and drying the red mussels at 40oC until a constant weight (± 6 hours) was obtained. The second stage is making red mussel flour with 60 mesh particle size. The third step is the isolation of red mussel protein by extraction process that is 50 grams of red mussel flour homogenized in aquadest with a ratio of 1:10 w / v, then extraction is carried out at an alkaline pH (pH: 9, 10, 11, 12 and 13). at a temperature of 40 oC using a hot plate stirrer for 10, 20, 30, 40 and 50 minutes. The results obtained the best conditions at pH 11 and 50 minutes extraction time with a protein content of 72.70%.

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Wisdom of Crowds for Supporting the Safety Evaluation of Nanomaterials

SSRN

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SSRN 2025年

作者： Saarimäki, Laura Aliisa Fratello, Michele del Giudice, Giusy Di Lieto, Emanuele Afantitis, Antreas Alenius, Harri Chiavazzo, Eliodoro Gulumian, Mary Karisola, Piia Lynch, Iseult Mancardi, Giulia Melagraki, Georgia Netti, Paolo A. Papadiamantis, Anastasios G. Peijnenburg, Willie Santos, Hélder A. Serchi, Tommaso Shahbazi, Mohammad-Ali Stoeger, Tobias Valsami-Jones, Eugenia Vivo, Paola Vrček, Ivana Vinković Vogel, Ulla Wick, Peter Winkler, David A. Serra, Angela Greco, Dario Faculty of Medicine and Health Technology Tampere University Tampere33520 Finland Division of Pharmaceutical Biosciences Faculty of Pharmacy University of Helsinki Helsinki00790 Finland NovaMechanics Ltd Nicosia Cyprus Institute of Environmental Medicine Karolinska Institutet Stockholm171 77 Sweden Research Program Medical Faculty University of Helsinki Helsinki00290 Finland Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy National Institute for Occupational Health National Health Laboratory Services Johannesburg South Africa School of Geography Earth and Environmental Sciences University of Birmingham Birmingham United Kingdom Division of Physical Sciences and Applications Hellenic Military Academy Vari Greece Interdisciplinary Research Centre on Biomaterials-CRIB University of Napoli Federico II P.le Tecchio 80 Napoli80125 Italy Institute of Environmental Sciences Leiden University Leiden Netherlands National Institute of Public Health and the Environment Center for Safety of Products and Substances Bilthoven Netherlands University of Groningen Groningen Netherlands Drug Research Program Division of Pharmaceutical Chemistry and Technology Faculty of Pharmacy University of Helsinki Helsinki Finland Luxembourg Institute of Science and Technology 5 Avenue des Hauts Fourneaux Eschsur-Alzette4362 Luxembourg Munich Germany Solar Cells Faculty of Engineering and Natural Sciences Tampere University P.O. Box 541 TampereFI-33014 Finland Institute for Medical Research and Occupational Health Zagreb Croatia National Research Centre for the Working Environment Copenhagen ODK-2100 Denmark Lerchenfeldstrasse 5 St. Gallen9014 Switzerland La Trobe Institute of Molecular Science La Trobe University Bundoora3086 Australia Monash Institute of Pharmaceutical Sciences Monash University Parkville3052 Australia School of Pharmacy University of Nottingham NottinghamNG7 2QL United Kingdom Tampere Institute for Advanced Study

The development of new approach methodologies (NAMs) to replace current in vivo testing for the safety assessment of engineered nanomaterials (ENMs) is hindered by the scarcity of validated experimental data for a broad range of ENMs. We introduce a framework to address this challenge by harnessing the collective expertise of professionals from multiple complementary and related fields (‘wisdom of crowds’ or WoC). By integrating expert insights, we aim to fill data gaps and generate consensus concern scores for diverse ENMs, thereby enhancing the predictive power of nanosafety computational models. Our investigation reveals an alignment between expert opinion and experimental data, providing robust estimations of concern levels. Building upon these findings, we employ predictive machine learning models trained on the newly defined concern scores, ENM descriptors, and gene expression profiles, to quantify potential harm across various toxicity endpoints. These models further revealed key genes potentially involved in underlying toxicity mechanisms. Notably, genes associated with metal ion homeostasis, inflammation, and oxidative stress emerge as predictors of ENM toxicity across diverse endpoints. This study showcases the value of integrating expert knowledge and computational modeling to address the complexity of nanomaterial safety. Our work suggests that this interdisciplinary approach enhances the accuracy and efficiency of safety assessment in the rapidly evolving landscape of nanotechnology. © 2025, The Authors. All rights reserved.

关键词： Nanoclay

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Corrigendum to “Assessing the willingness of residential electricity consumers to adopt demand side management and distributed energy resources: A case study on the Japanese market” [Energy Pol. (137) 111169]

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Energy Policy 2025年 198卷

作者： Nikolaos Iliopoulos Miguel Esteban Shogo Kudo Graduate Program in Sustainability Science – Global Leadership Initiative Building of Environmental Studies The University of Tokyo 5-1-5 Kashiwanoha Kashiwa City Chiba 277-8563 Japan Research Institute of Sustainable Future Society Faculty of Civil and Environmental Engineering 60-106 3-4-1 Okubo Shinjuku-ku Tokyo 169-8555 Japan Waseda University Japan

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