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Analysis of marine debris at Alue Naga and Ulee Lheue beaches in Banda Aceh City using the transect method

Materials Today: Proceedings 2022年 63卷 S339-S345页

作者： Windari, Wulan Saiful, Saiful Gani, Asri Mahidin Master of Environment Management Postgraduate Program Syiah Kuala University Banda Aceh Indonesia Chemistry Department Faculty of Mathematics and Natural Science Syiah Kuala University Banda Aceh Indonesia Chemical Engineering Faculty of Engineering Syiah Kuala University Banda Aceh Indonesia Research Center for Environmental and Natural Resources Universitas Syiah Kuala Darussalam Banda Aceh 23111 Indonesia

Alue Naga Beach and Ulee Lheue Beach are beaches located in Banda Aceh City, Aceh Province, these two beaches have a fairly large role in the fields of fisheries, transportation, and tourism. During the last few years, the population growth rate of Banda Aceh City has increased by 2% per year, this causes the volume of waste generated to be even greater, unfortunately, the municipal waste management office cannot manage it fully. Most of the untreated waste enters water bodies and has the potential to pollute the marine and coastal environment. So it is necessary to do research to provide an overview of the level of marine debris pollution on the two beaches. This study uses the transect method, the waste obtained is grouped according to size and type. The results showed that marine debris on Ulee Lheue beach was found to be more numerous and varied than marine debris on Alue Naga beach. Overall, macro waste with a size range of 2.5−1 m was the most commonly found and plastic was the waste with the highest yield with a density value of 65.8 g/m2, an abundance of 6.56 items/m2, and a percentage of 75%. © 2022

关键词： Beaches

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Evaluating nitrogen sources for enhanced halophilic bacteria growth, electron transfer, and microbial fuel cell performance

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Chemosphere 2025年 378卷 144397页

作者： Christwardana, Marcelinus Khoirunnisa, K. Asy'ari, Mukhammad Hadiyanto, H. Department of Chemistry Faculty of Science and Mathematics Diponegoro University 50275 Indonesia Master Program of Energy School of Postgraduate Studies Diponegoro University 50241 Indonesia Research Collaboration Center for Electrochemistry BRIN – Diponegoro University 50275 Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University 50275 Indonesia

This study investigates the comparative effects of different nitrogen sources—peptone, tryptone, and bovine serum albumin (BSA)—on the growth, electron transport mechanisms, and MFCs performance of halophilic bacteria Bacillus clausii J1G-o%B. The objective is to identify the most effective nitrogen source for optimizing bacterial growth and enhancing MFC efficiency. Comprehensive analysis reveals that tryptone and peptone significantly enhance bacterial growth and stability compared to BSA. Increased concentrations of these nitrogen sources correlate with elevated ammonia production and notable pH changes, indicating heightened metabolic activity. The non-linear relationship between scan rate and current density suggests diffusion-limited redox reactions. Notably, higher tryptone concentrations significantly increase the electron transfer rate constant to 3.66 ± 0.02 s−1 when the concentration increases to 0.1 g/100 mL. Early voltage increases at around the 30th hour to 0.175 V under the T-0.1 condition further support the critical role of tryptone in accelerating bacterial growth and biofilm formation. Cyclic voltammetry experiments demonstrate that nitrogen source type and concentration influence electrical double layer characteristics. These findings underscore the potential of tryptone to optimize Bacillus clausii electrochemical performance, achieving a maximum power density of 36.93 mW/m2 at a current density of 196 mA/m2, paving the way for bioelectrochemical system applications. © 2025 Elsevier Ltd

关键词： Rate constants

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Statistical mechanics of thermostatically controlled multizone buildings

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Physical Review E 2023年第3期107卷 034140-034140页

作者： Lucas Fuentes Valenzuela Lindell Williams Michael Chertkov Department of Electrical Engineering Stanford University 350 Jane Stanford Way Stanford California 94305 USA Department of Physics Cornell University 109 Clark Hall Ithaca New York 14853 USA Program in Applied Mathematics & Department of Mathematics University of Arizona 617 N. Santa Rita Tucson Arizona 85721 USA

We study the collective phenomena and constraints associated with the aggregation of individual cooling units from a statistical mechanics perspective. These units are modeled as thermostatically controlled loads (TCLs) and represent zones in a large commercial or residential building. Their energy input is centralized and controlled by a collective unit—the air handling unit (AHU)—delivering cool air to all TCLs, thereby coupling them together. Aiming to identify representative qualitative features of the AHU-to-TCL coupling, we build a simple but realistic model and analyze it in two distinct regimes: the constant supply temperature (CST) and the constant power input (CPI) regimes. In both cases, we center our analysis on the relaxation dynamics of individual TCL temperatures to a statistical steady state. We observe that while the dynamics are relatively fast in the CST regime, resulting in all TCLs evolving around the control set point, the CPI regime reveals the emergence of a bimodal probability distribution and two, possibly strongly separated, timescales. We observe that the two modes in the CPI regime are associated with all TCLs being in the same low or high airflow states, with an occasional collective transition between the modes akin to Kramer's phenomenon in statistical physics. To the best of our knowledge, this phenomenon has been overlooked in building energy systems despite its direct operational implications. It highlights a trade-off between occupational comfort—related to zonal temperature variations—and energy consumption.

关键词： Electric power transmission Energy-efficient infrastructure engineering Fluctuations & noise Irreversible processes Fokker–Planck equation Langevin algorithm Langevin equation Monte Carlo methods Physics & society

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Multi-objective parametrization of interatomic potentials for large deformation pathways and fracture of two-dimensional materials

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npj Computational Materials 2021年第1期7卷 1042-1052页

作者： Xu Zhang Hoang Nguyen Jeffrey T.Paci Subramanian K.R.S.Sankaranarayanan Jose L.Mendoza-Cortes Horacio D.Espinosa Theoretical and Applied Mechanics Program Northwestern UniversityEvanstonILUSA Department of Chemistry University of VictoriaVictoriaBCCanada Center for Nanoscale Materials Argonne National LaboratoryLemontILUSA Department of Chemical Engineering&Materials Science Michigan State UniversityEast LansingMIUSA Department of Mechanical Engineering Northwestern UniversityEvanstonILUSA

This investigation presents a generally applicable framework for parameterizing interatomic potentials to accurately capture large deformation *** incorporates a multi-objective genetic algorithm,training and screening property sets,and correlation and principal component *** framework enables iterative definition of properties in the training and screening sets,guided by correlation relationships between properties,aiming to achieve optimal parametrizations for properties of ***,the performance of increasingly complex potentials,Buckingham,Stillinger-Weber,Tersoff,and modified reactive empirical bond-order potentials are *** MoSe_(2)as a case study,we demonstrate good reproducibility of training/screening properties and superior *** MoSe_(2),the best performance is achieved using the Tersoff potential,which is ascribed to its apparent higher flexibility embedded in its functional *** results should facilitate the selection and parametrization of interatomic potentials for exploring mechanical and phononic properties of a large library of two-dimensional and bulk materials.

关键词： materials apparent enable

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NOMAD: nonlinear manifold decoders for operator learning 22

NOMAD: nonlinear manifold decoders for operator learning

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Proceedings of the 36th International Conference on Neural Information Processing Systems

作者： Jacob H. Seidman Georgios Kissas Paris Perdikaris George J. Pappas Graduate Program in Applied Mathematics and Computational Science University of Pennsylvania Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Department of Electrical and Systems Engineering University of Pennsylvania

ISBN: (纸本)9781713871088

Supervised learning in function spaces is an emerging area of machine learning research with applications to the prediction of complex physical systems such as fluid flows, solid mechanics, and climate modeling. By directly learning maps (operators) between infinite dimensional function spaces, these models are able to learn discretization invariant representations of target functions. A common approach is to represent such target functions as linear combinations of basis elements learned from data. However, there are simple scenarios where, even though the target functions form a low dimensional submanifold, a very large number of basis elements is needed for an accurate linear representation. Here we present NOMAD, a novel operator learning framework with a nonlinear decoder map capable of learning finite dimensional representations of nonlinear submanifolds in function spaces. We show this method is able to accurately learn low dimensional representations of solution manifolds to partial differential equations while outperforming linear models of larger size. Additionally, we compare to state-of-the-art operator learning methods on a complex fluid dynamics benchmark and achieve competitive performance with a significantly smaller model size and training cost.

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Globally Convergent Method for Optimal Control of Hybrid Dynamical Systems

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IFAC-PapersOnLine 2024年第14期58卷 868-873页

作者： Saif R. Kazi Mandar Thombre Lorenz Biegler T-5 Applied Mathematics and Plasma Physics Los Alamos National Laboratory Los Alamos NM 87545 USA Technological Digital and Innovation Equinor Oslo Norway Department of Chemical Engineering Carnegie Mellon University Pittsburgh PA 15213 USA

Optimal control of a Hybrid Dynamical System is a difficult problem because of unknown non-differentiable points or switches in the solution of discontinuous ODEs. The optimal control problem for such hybrid dynamical system can be reformulated into a dynamic complementarity system (DCS) problem. In this paper, a moving finite element with switch detection method is implemented to ensure higher order accuracy for numerical discretization schemes such as Implicit Runge Kutta (IRK) or Orthogonal Collocation method. The DCS problem is solved using a globally convergent nonlinear complementarity solver based on active set strategy to avoid spurious stationary solutions.

关键词： Differential Complementarity System Hybrid Dynamical Systems Complementarity Constraints

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Transporting Densities Across Dimensions

arXiv

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arXiv 2023年

作者： Plainer, Michael Dietrich, Felix Kevrekidis, Ioannis G. School of Computation Information and Technology Technical University of Munich Germany Department of Chemical and Biomolecular Engineering Department of Applied Mathematics and Statistics Johns Hopkins University JHMI United States

Even the best scientific equipment can only partially observe reality. Recorded data is often lower-dimensional, e.g., two-dimensional pictures of the three-dimensional world. Combining data from multiple experiments then results in a marginal density. This work shows how to transport such lower-dimensional marginal densities into a more informative, higher-dimensional joint space by leveraging time-delayed measurements from an observation process. This can augment the information from scientific equipment to construct a more coherent view. Classical transportation algorithms can be used when the source and target dimensions match. Our approach allows the transport of samples between spaces of different dimensions by exploiting information from the sample collection process. We reconstruct the surface of an implant from partial recordings of bacteria moving on it and construct a joint space for satellites orbiting the Earth by combining one-dimensional, time-delayed altitude *** Codes 58K05, 60G30, 37C20, 62-07 Copyright © 2023, The Authors. All rights reserved.

关键词： Earth (planet)

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TOWARDS A BETTER SUSTAINABILITY OF ELECTROLESS PORE-PLATED MEMBRANES: LIFE CYCLE ASSESSMENTS ON FABRICATION STRATEGIES 23

TOWARDS A BETTER SUSTAINABILITY OF ELECTROLESS PORE-PLATED M...

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23rd World Hydrogen Energy Conference: Bridging Continents by H2, WHEC 2022

作者： Alique, David Leo, Pedro Martinez-Diaz, David Sanz, Raúl Calles, José Antonio Department of Energy Chemical and Mechanical Engineering Rey Juan Carlos University c/Tulipan s/n Móstoles28933 Spain Department of Chemical and Environmental Engineering Rey Juan Carlos University c/Tulipan s/n Móstoles28933 Spain Department of Applied Mathematics Material Science and Engineering and Electronic Technology Rey Juan Carlos University c/Tulipan s/n Móstoles28933 Spain

ISBN: (纸本)9786250008430

Pd-based membranes attract great attention to be used as independent separators or combined with catalysts in a membrane reactor for H2-production. The membrane fabrication was improved for years, reaching ultra-thin Pd-films with high permeability and selectivity. However, commercialization at industrial level is still scarce due to the limited knowledge about their economy, lifespan and environmental concerns. In this context, the current study expands the unique life cycle assessment focused on the preparation of Pd-based composite-membranes by Electroless Pore-Plating (ELP-PP) in literature. Based on this, the current research go into deep when the membrane incorporates PdCeO2 as intermediate layer and the total length of the membrane is increased up to 100 cm. The associated environmental impacts were estimated through ReCiPe methodology by using Simapro 8.5. Climate change, human toxicity, acidification, freshwater ecotoxicity, metal depletion and fossil fuel resources depletion were the most relevant impacts generated during the membrane manufacturing, although they were reduced up to 50% respect to membranes without ceramic intermediate barriers. Moreover, CeO2 doping reduces the number of ELP-PP recurrences, hence further improving the environmental sustainability. Finally, an additional reduction of the environmental impacts was also achieved by scaling-up the process for the preparation of longer membranes. © 2022 Proceedings of WHEC 2022 - 23rd World Hydrogen Energy Conference: Bridging Continents by H2. All rights reserved.

关键词： Life cycle

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X-Ray Scattering for Soft Matter Research at NSLS-II

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Synchrotron Radiation News 2023年第2期36卷 24-30页

作者： Barbour, Andi Cai, Yong Q. Fluerasu, Andrei Freychet, Guillaume Fukuto, Masafumi Gang, Oleg Gann, Eliot Laasch, Ricarda Li, Ruipeng Ocko, Benjamin M. Tsai, Esther H. R. Wąsik, Patryk Wiegart, Lutz Yager, Kevin G. Yang, Lin Zhang, Honghu Zhang, Yugang National Synchrotron Light Source II Brookhaven National Laboratory BNL/NSLS-II Upton NY United States Univ. Grenoble Alpes CEA Grenoble Leti France Center for Functional Nanomaterials Brookhaven National Laboratory Upton NY United States Department of Chemical Engineering and Department of Applied Physics and Applied Mathematics Columbia University New York NY United States Materials Measurement Science Division Material Measurement Laboratory National Institute of Standards and Technology Gaithersburg MD United States

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Reduced KPCA based Ensemble Learning Approach for Fault Diagnosis of Grid-Connected PV Systems 19

Reduced KPCA based Ensemble Learning Approach for Fault Diag...

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19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022

作者： Dhibi, Khaled Mansouri, Majdi Bouzrara, Kais Nounou, Hazem Nounou, Mohamed Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir 5019 Tunisia Electrical and Computer Engineering Program Texas A&M University at Qatar Doha23874 Qatar Department of Mathematics and Sciences Prince Sultan University Riyadh11586 Saudi Arabia Chemical Engineering Program Texas A&M University at Qatar Doha23874 Qatar

ISBN: (数字)9781665471084

ISBN: (纸本)9781665471084

The main objective of this work is to develop novel fault diagnosis techniques using ensemble learning and multivariate statistical techniques. The proposed methods are capable of identifying and classifying PV faults. First, an ensemble learning (EL) method that combines several base models is proposed. Next, kernel principal components analysis (KPCA) and reduced KPCA are proposed to extract and select the pertinent characteristics from raw data. Then, the extracted significant characteristics are transmitted to the EL model for classification purposes. The main idea behind these proposals is to provide the best accuracy and also improve the results in terms of computation time. The diagno-sis results demonstrated the efficiency of the proposed frameworks. © 2022 IEEE.

关键词： Multivariant analysis

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