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Future Glycemic Events Prediction Model Based On Artificial Neural Network

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Future Glycemic Events Prediction Model Based On Artificial ...

2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2022

作者： Syafrudin, Muhammad Alfian, Ganjar Fitriyani, Norma Latif Hadibarata, Tony Rhee, Jongtae Anshari, Muhammad Sejong University Department of Artificial Intelligence Seoul Korea Republic of Universitas Gadjah Mada Department of Electrical Engineering and Informatics Vocational College Yogyakarta Indonesia Sejong University Department of Data Science Seoul Korea Republic of Curtin University Environmental Engineering Program Miri Malaysia Dongguk University Department of Industrial and Systems Engineering Seoul Korea Republic of Universiti Brunei Darussalam School of Business and Economics Brunei

ISBN: (数字)9781665451932

ISBN: (纸本)9781665451932

Predicting future glycemic events such as hypoglycemia, hyperglycemia, and normal for type 1 diabetes (T1D) remains a significant and challenging issue. In this study, an artificial neural network (ANN)-based model is proposed to predict the future glycemic events of T1D patients. We utilized five T1D patient datasets to build the models and predict future glycemic events with a prediction horizon (PH) of 30 and 60 minutes ahead of time. We applied the data preprocessing method based on the sliding window approach by sliding the blood glucose time-series data from the past 60 minutes (the last 12 data points) as input and using the next 30 and 60 minutes (the next 6 and 12-th data points) as output. All the numeric blood glucose output data are then transformed into a multi-class classification label, such as hypoglycemia, hyperglycemia, and normal. Our proposed model is then used to learn and create the prediction model from the preprocessed blood glucose dataset. Four performance metrics such as accuracy, precision, recall, and f-1 score were utilized to measure the performance of the classification models used in this study, such as Naïve Bayes (NB), Decision Tree (DT), Support Vector Machine (SVM), and K-Nearest Neighbour (KNN). The results showed that our proposed ANN-based model performed better at predicting future glycemic events than other models, with an average accuracy, precision, recall, and f-1 score of 88.649%, 76.661%, 71.731%, 72.609%, and 83.364%, 60.437%, 61.345%, 60.62% for the PH of 30 and 60 minutes, respectively. As a result, knowing this future glycemic event sooner can help patients avoid potentially dangerous conditions and can eventually be used to improve diabetes management. © 2022 IEEE.

关键词： Decision trees

Concentrate and Degrade Pfoa with a Photo-Regenerable Composite of In-Doped Tnts@Ac

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SSRN 2022年

作者： Juve, Jan-Max Arana Li, Fan Zhu, Yangmo Liu, Wen Ottosen, Lars D.M. Zhao, Dongye Wei, Zongsu Department of Biological and Chemical Engineering Aarhus University Universitetsbyen 36 Aarhus8000 Denmark Environmental Engineering Program Department of Civil & Environmental Engineering Auburn University AuburnAL36849 United States The Key Laboratory of Water and Sediment Sciences Ministry of Education College of Environmental Science and Engineering Peking University Beijing100871 China

"Concentrate-and-degrade" is an effective strategy to promote mass transfer and degradation of pollutants in photocatalytic systems, yet suitable and cost-effective photocatalysts are required to practice the new concept. In this study, we doped a post-transition metal of Indium (In) on a novel composite adsorptive photocatalyst, activated carbon-supported titanate nanotubes (TNTs@AC), to effectively degrade perfluorooctanoic acid (PFOA). In/TNTs@AC exhibited both excellent PFOA adsorption (100% in 30 min) and photodegradation (100% in 4 hours) under normal environmental conditions. The heterojunction structure of the composite facilitated a cooperative adsorption mode of PFOA, i.e., binding of the carboxylic head group of PFOA to the metal oxide and attachment of the hydrophobic tail to AC. The resulting side-on adsorption mode facilitates the electron (e‒) transfer from the carboxylic head to the photogenerated hole (h+), which was the major oxidant verified by scavenger tests. Furthermore, the presence of In enables direct electron transfer and facilitates the subsequent stepwise defluorination. Finally, In/TNTs@AC was amenable to repeated uses in four consecutive adsorption-photodegradation runs. The findings showed that adsorptive photocatalysts can be prepared by hybridization of carbon and photoactive semiconductors and the enabled "concentrate-and-degrade" strategy is promising for removal and degradation of trace levels PFOA from polluted waters. © 2022, The Authors. All rights reserved.

关键词： Heterojunctions

Critical Review on the Abatement Of Endocrine Disrupting Compounds In Iron-Based Materials Catalyzed Persulfate Systems: Reactive Species, Reaction Mechanisms, and Perspectives

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SSRN 2024年

作者： Sun, Ye Huang, Ying Zheng, Shujie Chen, Haojia Yang, Yan Ji, Hongbing Han, Changseok School of Chemical Engineering and Light Industry School of Environmental Science and Engineering Guangdong University of Technology Guangzhou510006 China School of Environment Hangzhou Institute for Advanced Study UCAS Hangzhou310024 China School of Chemistry and Chemical Engineering Guangxi Key Laboratory of Petrochemical Resource Processing and Process Intensification Technology Guangxi University Nanning530004 China Synergy Innovation Institute of Guangdong University of Technology Shantou515041 China Department of Environmental Engineering INHA University Incheon22212 Korea Republic of Program in Environmental and Polymer Engineering Graduate School of INHA University Incheon22212 Korea Republic of

Persulfate-based advanced oxidation processes have emerged as promising technologies for mitigating endocrine-disrupting compounds (EDCs) in wastewater treatment. Economically viable Fe-based materials with tailored properties have demonstrated significant efficacy in activating persulfate for the decomposition of EDCs through both radical-routes (•OH, SO4•−, and O2•−) and non-radical routes (1O2, surface activated PS complex, and high-valent Fe species). This review summarized the latest advancements in the persulfate activation mechanisms mediated by Fe-based materials, categorized by Fe valence states and the types of reactive species. Furthermore, it critically assesses the influence of active sites of Fe-based catalysts on persulfate activation pathways and summarizes the selective reaction of reactive species towards EDCs. Despite these advancements, several challenges persist in non-radical route-dominated persulfate activation, particularly regarding the impact of Fe-Fe distance on the reactive species and the catalytic role of Fe-based materials for reactions between inorganic ions and persulfate. This review proposes prospective research directions, provides design strategies, and expands the application of Fe-based materials in PS activation for effective EDC abatement in real situations. © 2024, The Authors. All rights reserved.

关键词： Endocrine disrupters

Interannual variability and climatic sensitivity of global wildfire activity

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Advances in Climate Change Research 2021年第5期12卷 686-695页

作者： Rongyun TANG Jiafu MAO Mingzhou JIN Anping CHEN Yan YU Xiaoying SHI Yulong ZHANG Forrest M.HOFFMAN Min XU Yaoping WANG Institute for a Secure and Sustainable Environment University of TennesseeKnoxville37996USA Environmental Sciences Division and Climate Change Science Institute Oak Ridge National LaboratoryOak Ridge37830USA Department of Biology and Graduate Degree Program in Ecology Colorado State UniversityFort Collins80523USA Atmospheric and Oceanic Sciences Program Princeton UniversityPrinceton08544USA Computational Sciences and Engineering Division and Climate Change Science Institute Oak Ridge National LaboratoryOak Ridge37830USA

Understanding historical wildfire variations and their environmental driving mechanisms is key to predicting and mitigating wildfires. However, current knowledge of climatic responses and regional contributions to the interannual variability (IAV) of global burned area remains limited. Using recent satellite-derived wildfire products and simulations from version v1.0 of the land component of the U.S. Department of Energy's Energy Exascale Earth System Model (E3SM land model [ELM] v1) driven by three different climate forcings, we investigated the burned area IAV and its climatic sensitivity globally and across nine biomes from 1997 to 2018. We found that 1) the ELM simulations generally agreed with the satellite observations in terms of the burned area IAV magnitudes, regional contributions, and covariations with climate factors, confirming the robustness of the ELM to the usage of different climate forcing sources;2) tropical savannas, tropical forests, and semi-arid grasslands near deserts were primary contributors to the global burned area IAV, collectively accounting for 71.7%–99.7% of the global wildfire IAV estimated by both the satellite observations and ELM simulations;3) precipitation was a major fire suppressing factor and dominated the global and regional burned area IAVs, and temperature and shortwave solar radiation were mostly positively related with burned area IAVs;and 4) noticeable local discrepancies between the ELM and remote-sensing results occurred in semi-arid grasslands, croplands, boreal forests, and wetlands, likely caused by uncertainties in the current ELM fire scheme and the imperfectly derived satellite observations. Our findings revealed the spatiotemporal diversity of wildfire variations, regional contributions and climatic responses, and provided new metrics for wildfire modeling, facilitating the wildfire prediction and management.

关键词： Wildfire Burned area Climatic sensitivity E3SM land model Global fire emission database

Learn How to Design High-Quality Qualitative Educational Research! - A Workshop for Disciplinary STEM Faculty by Disciplinary STEM Faculty 53

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Learn How to Design High-Quality Qualitative Educational Res...

53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Morelock, John R. Jarvie-Eggart, Michelle Chenette, Heather Hooshangi, Sara Chestnutt, Betsy Wilson, Sarah Bolhari, Azadeh Dodson, Kirsten Pavlova, Iglika Reck, Rebecca Transformations Institute University of Georgia Engineering Education AthensGA United States Michigan Technological University Engineering Fundamentals HoughtonMI United States Rose-Hulman Institute of Technology Chemical Engineering Terre HauteIN United States Virginia Tech Computer Science - Northern Virginia Center WashingtonDC United States University of Tennessee Knoxville Engineering Fundamentals KnoxvilleTN United States University of Kentucky Chemical Engineering LexingtonKY United States University of Colorado Boulder Environmental Engineering Program BoulderCO United States Lipscomb University Mechanical Engineering NashvilleTN United States University of North Carolina Greensboro Department of Biology GreensboroNC United States University of Illinois Urbana-Champaign Bioengineering ChampaignIL United States

ISBN: (纸本)9798350336429

The purpose of this workshop-designed for instructional and disciplinary STEM faculty interested in learning about qualitative research-is to (1) introduce participants to high-quality qualitative research design and (2) practice this design process alongside disciplinary STEM faculty to expand their STEM education research abilities and network. We will do so using the ProQual approach, a methodologically unencumbered and widely accessible way of thinking about qualitative research design that was deployed and refined over the last three years as part of the NSF-funded ProQual Institute for Research Methods [1]. This workshop will be conducted by ProQual Institute alumni, who are culturally sensitive to the challenges faced by disciplinary STEM faculty. Leveraging a propagation model of effecting academic change [2], the workshop leaders will serve as a community of practice to help participants move their educational research ideas forward during and after the workshop. In doing so, we strive to further FIE's mission to create a collaborative, supportive, and inclusive community of educational researchers. © 2023 IEEE.

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Performance Evaluation of Sulfidated Nanoscale Iron for Hexavalent Chromium Removal from Groundwater in Sequential Batch Study

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SSRN 2023年

作者： Bhattacharya, Mainak Barbhuiya, Najmul Haque Singh, Swatantra Pratap Environmental Science and Engineering Department Indian Institute of Technology Bombay Mumbai India Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai400076 India Centre for Research in Nanotechnology & Science Indian Institute of Technology Bombay Mumbai400076 India

Chromium [Cr] contamination in groundwater is one of the serious environmental concerns due to the carcinogenicity of its water-soluble and mobile hexavalent [Cr(VI)] form. In spite of the existence of multiple precipitation and adsorption-based Cr(VI) remediation technologies, the usage of sulfidated nano zerovalent iron (S-nZVI) has recently attracted researchers due to its high selectivity. Although S-nZVI effectively immobilized Cr(VI), its long-term performance in multiple shifted equilibrium has not been explored. In this contribution, a comparative study between conventional nano zerovalent iron (nZVI) and S-nZVI was conducted to investigate their respective efficiencies during repeated usage. First, influences of S-nZVI dosage, initial concentration of Cr(VI), pH, ionic strength, total hardness, sulfate, carbonate, and silicate were probed in ultrapure water. Further experiments were performed in synthetic groundwater to investigate the effects of the initial concentration of Cr(VI) in the pH range of 4 – 8 for 1 g L-1 S-nZVI dosage. The removal rate of Cr(VI) was quantified in groundwater without pH fixation. Finally, a set of sequential batch studies was performed to compare the performance of nZVI and S-nZVI due to repeated usage in Cr(VI)-spiked ultrapure water and groundwater matrices. Mechanistic interpretation of the processes governing the immobilization of Cr(VI) was done by integrating the results of these experiments with the metadata. While aggregation due to magnetic properties and rapid oxidation of Fe decreased the efficiency of nZVI with repeated usage, sulfidation minimized the passivation and favored an extended reducing environment because of continuous electron transfer from iron and sulfur components. © 2023, The Authors. All rights reserved.

关键词： Groundwater

Multistate Control of Nonlinear Photocurrents in Optoferroelectrics via phase manipulation of light field

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arXiv

arXiv 2025年

作者： Kazempour, Ali Sisakht, Esmaeil Taghizadeh Okyay, Mahmut Sait Jiang, Xiao Sato, Shunsuke Park, Noejung Department of physics Payame Noor University PO BOX Tehran119395-3697 Iran Department of Physics Ulsan National Institute of Science and Technology Ulsan689-798 Korea Republic of Materials Science and Engineering Program Department of Chemical and Environmental Engineering University of California-Riverside RiversideCA92521 United States Center for Computational Sciences University of Tsukuba Tsukuba305-8577 Japan

Ultrafast optical control of ferroelectricity based on short and intense light can be utilized to achieve accurate manipulations of ferroelectric materials, which may pave a basis for future breakthrough in nonvolatile memories. Here, we demonstrate that phase manipulation of electric field in the strong field sub-cycle regime induces a nonlinear injection current, efficiently coupling with the topology of band structure and enabling dynamic reversal of both current and polarization. Our time-dependent first-principles calculations reveal that tuning the phase of linearly or circularly polarized light through time-varying chirp, or constant carrier envelop phases within sub-laser-cycle dynamics effectively breaks the time-reversal symmetry, allowing the control over current and electronic polarization reversal over multi-ferroelectric states. Our time- and momentum-resolved transverse current analysis reveal the significance of Berry curvature higher order poles in the apparent association between the odd (even) orders of Berry curvature multipoles to odd (even) pseudo-harmonics in driving polarization dynamics reversal. We suggest that these phase manipulations of short pulse waveform may lead to unprecedented accurate control of nonlinear photocurrents and polarization states, which facilitate the development of precise ultrafast opto-ferroelectric devices. © 2025, CC BY.

关键词： Ferroelectricity

Hexavalent Chromium Remediation Using Single-Step Synthesized Sulfidated Nanoscale Iron Particles Modified Kaolin

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SSRN 2023年

The occurrence of dissolved hexavalent chromium [Cr(VI)] in freshwater systems is a serious environmental hazard because of its high toxicity. Although different types of nZVI effectively removed Cr(VI), performance evaluation of nZVI modified with a suitable clay adsorbent—kaolinite—was not thoroughly studied. In the present research, kaolin was modified with nZVI (K-nZVI) and SnZVI (K-SnZVI) at two different kaolin to iron mass ratios (kaolin: Fe) to remove Cr(VI) under varying geochemical conditions. Both K-nZVI and K-SnZVI were synthesized by a simple one step process, avoiding complicated synthesis protocols of modified nZVI mostly reported in the literature. Usage of Fe in the nanoparticles was minimized by increasing the kaolin: Fe ratio, and effects of ionic strength of the background solution, pH, major cations, and anions in Cr(VI) remediation efficiencies were probed. Kinetics of Cr(VI) removal by K-nZVI and K-SnZVI were quantified from sacrificial batch studies. The uptake of Cr(VI) by K-nZVI and K-SnZVI was fitted to the Freundlich isotherm model. With maximum Cr(VI) remediation efficiencies of 100% and 98% in synthetic groundwater contaminated with 2 - 100 mg L-1 Cr(VI). Using kaolin, an analog of the naturally available kaolinite clay, with relatively decreased Fe content in the nanoparticles, would also aid in reducing the treatment cost. © 2023, The Authors. All rights reserved.

关键词： Groundwater

Long-Term Performance of Sulfidated Nanoscale Iron for Hexavalent Chromium Removal from Groundwater in Sequential Batch Study

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SSRN 2023年

Chromium [Cr] contamination in groundwater is one of the serious environmental concerns due to the carcinogenicity of its water-soluble and mobile hexavalent [Cr(VI)] form. In spite of the existence of multiple precipitation and adsorption-based Cr(VI) remediation technologies, the usage of sulfidated nano zerovalent iron (S-nZVI) has recently attracted researchers due to its high selectivity. Although S-nZVI has been proven to be effective towards Cr(VI) immobilization, its long-term performance in groundwater matrix has not been explored. In this contribution, a comparative study between conventional nano zerovalent iron (nZVI) and S-nZVI was conducted to investigate their respective efficiencies due to repeated usage. First, influences of S-nZVI dosage, initial concentration of Cr(VI), pH, ionic strength, total hardness, sulfate, carbonate, and silicate were probed in ultrapure water. Further experiments were performed in synthetic groundwater to investigate the effects of the initial concentration of Cr(VI) in the pH range of 4 – 8 for 1 g L-1 S-nZVI dosage. The removal rate of Cr(VI) was quantified in groundwater without pH fixation, following the second-order reaction kinetics. Finally, a set of sequential batch studies was performed to compare the performance of nZVI and S-nZVI due to repeated usage in Cr(VI)-spiked ultrapure water and groundwater matrices. Mechanistic interpretation of the processes governing the immobilization of Cr(VI) was done by integrating the results of these experiments with the metadata. While aggregation due to magnetic properties and rapid oxidation of Fe decreased the efficiency of nZVI with repeated usage, sulfidation minimized the passivation and favored an extended reducing environment because of continuous electron transfer from Fe and S. © 2023, The Authors. All rights reserved.

关键词： Groundwater