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Biomedical Materials and Devices 2025年 1-28页

作者： Indira, Dewi Muzayyanah, Fitri Fauzi, Rifky Simanjuntak, Wasinton Yandri, Yandri Rohman, Fakhrony Sholahudin Sudibyo, Sudibyo Rakesh, Benadict Maryani, Anis Tatik Wibowo, Yudha Gusti Doctoral Program of Environmental Science Department of Postgraduate Program Universitas Lampung Lampung Indonesia Department of Mathematics Faculty of Science Institut Teknologi Sumatera Lampung Selatan Indonesia Department of Chemistry Universitas Lampung Lampung Indonesia Process Systems Engineering Centre (PROSPECT) Research Institute of Sustainable Environment (RISE) Universiti Teknologi Malaysia UTM Johor Bahru Johor 81310 Malaysia Research Center for Mining Technology National Research and Innovation Agency (BRIN) South Lampung 35352 Indonesia Council of Scientific and Industrial Research Institute of Minerals and Materials Technology Govt.of India Bhubaneswar India Postgraduate Program of Environmental Science Universitas Jambi Jambi Indonesia Department of Mining Engineering Faculty of Technologi Industry Institut Teknologi Sumatera Jl. Terusan Ryacudu Lampung Way Hui 35365 Indonesia Center for Green and Sustainable Materials Institut Teknologi Sumatera Lampung Indonesia

Hospital wastewater contains a complex mixture of pollutants, including biological, chemical, and pharmaceutical contaminants, which necessitates effective treatment strategies. This study investigates the efficiency of electrocoagulation for treating hospital wastewater while employing predictive modeling techniques, including feedforward neural networks (FFNN), neural Wiener (NW), neural Hammerstein (NH), and neural Hammerstein–Wiener (NHW) models. The electrocoagulation process was conducted using aluminum and carbon electrodes, with varying voltage levels (5 V, 10 V, and 15 V) and treatment durations (30, 60, 90, and 120 min). Key water quality parameters, including turbidity, biochemical oxygen demand (BOD), chemical oxygen demand (COD), Escherichia coli, and coliform bacteria, were analyzed before and after treatment. Results demonstrated that increasing voltage and contact time significantly enhanced pollutant removal, with the highest removal efficiencies observed at 15 V and 120 min. Electrocoagulation effectively reduced turbidity, BOD, and COD levels while achieving substantial microbial inactivation. The predictive models successfully captured electrocoagulation dynamics, with the neural Hammerstein–Wiener model exhibiting the highest accuracy (root mean square error [RMSE]: 0.0399, weighted mean absolute percentage error [WMAPE]: 0.0665). These findings suggest that electrocoagulation, coupled with advanced modeling techniques, provides a sustainable and efficient hospital wastewater treatment approach. Future research should focus on optimizing operational parameters, integrating hybrid treatment methods, and developing real-time monitoring systems to enhance treatment efficiency and cost-effectiveness. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2025.

关键词： Electrocoagulation Hospital wastewater Neural modeling Wastewater treatment

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Customer Segment Classification Prediction in the Australian Retail Based on Machine Learning Algorithms 4

Customer Segment Classification Prediction in the Australian...

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4th International Conference on Machine Learning and Computer Application, ICMLCA 2023

作者： Luo, Yiming Zhang, Rui Wang, Fei Wei, Tao Business Schoo The University of Sydney Sydney Australia Computer and Information Sciences Program Harrisburg University of Science and Technology Harrisburg United States Faculty of Science and Technology Beijing Normal University-Hong Kong Baptist University United International College Zhuhai China School of Chemical and Environmental Engineering Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9798400709449

Customer segmentation is an essential area of business analytics today. Accurate customer segmentation is access to improves the efficiency of marketing campaigns and customer satisfaction. This study employs multiple machine learning methods to classify Australian Retail company BIGW's customer segments and first to apply multiple model explanation methods to find insights related to customer segmentation identification. After rigorous comparison and hyperparameter fine-tuning, XGBoost is the most adept for this dataset. We derive three key insights through the model results and model interpretive methods. First, BIGW's primary clientele comprises young families in urban areas who prefer cost-effective products, establishing the foundation of their consumer base. Second, the model result indicates a notable gap in BIGW's understanding of its high-end customers, suggesting an area for immediate attention. Third, a specific customer segment emerges from the data: individuals favoring online shopping, demonstrating high total expenditure but low interest in promotions, representing a high-value segment. © 2023 ACM.

关键词： Customer satisfaction

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Evaluating the impact of fertilizer and crop prices on phosphorus concentrations in Great Lakes watersheds

Journal of the Agricultural and Applied Economics Associatio...

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Journal of the Agricultural and Applied Economics Association 2024年第4期3卷 756-773页

作者： Sampriti Sarkar Preet Lal Molly Sears Frank Lupi Department of Agricultural Food and Resource Economics Michigan State University East Lansing Michigan USA Environmental Science and Policy Program Michigan State University East Lansing Michigan USA Department of Civil and Environmental Engineering Michigan State University East Lansing Michigan USA

Crop and input prices affect agricultural production and water pollution. Fertilizer prices fluctuated over the past two decades, recently increasing substantially. Corn prices also increased after authorization of the Renewable Fuel Standard. This paper estimates the effect of fertilizer and corn prices on total phosphorus (TP) and dissolved phosphorus (DP) concentrations across 226 Great Lakes region watersheds. Findings indicate that a 10% rise in fertilizer prices reduces TP by 3% and DP by 6.9%. Counterfactual analysis shows that without recent fertilizer price hikes, nutrient concentrations would be higher, underscoring the impact of crop and input prices on phosphorus pollution.

关键词： corn production fertilizer application non-point source pollution phosphorus pollution

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Key fuel characteristics and techno-economic aspects of torrefied rubberwood biomass pellets produced by incorporating various cassava-based binders at varied doses

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environmental science and Pollution Research 2024年第25期31卷 37663-37680页

作者： Kongto, Pumin Palamanit, Arkom Chaiprapat, Sumate Tippayawong, Nakorn Khempila, Jarunee Ruangim, Panatda Energy Technology Program Department of Interdisciplinary Engineering Faculty of Engineering Prince of Songkla University 15 Kanjanavanich Rd. Songkhla Hat Yai90110 Thailand Research Center Faculty of Engineering Prince of Songkla University 15 Kanjanavanich Rd. Songkhla Hat Yai90110 Thailand Department of Civil and Environmental Engineering Faculty of Engineering Prince of Songkla University 15 Kanjanavanich Rd. Songkhla Hat Yai90110 Thailand Department of Mechanical Engineering Chiang Mai University 239 Huay Kaew Rd. Chiang Mai Muang District 50200 Thailand Physics Program Faculty of Science and Technology Rajabhat Maha Sarakham University 80 Nakhon Sawan Rd. Maha Sarakham Mueang District 44000 Thailand

Improving energy content and hydrophobic nature of woody biomass can be pursued through torrefaction. This gives torrefied biomass with a low bulk density, potentially increasing storage and transport costs. To overcome this issue, densifying the torrefied biomass is necessary. However, poor binding of particles makes densification challenging without using a binder. Therefore, the aim of this study was to investigate the physicochemical characteristics and techno-economic aspects of torrefied rubberwood biomass (TRWB) when pelletized using various cassava-based binders at different blending ratios. The selected binders included cassava starch (CS), cassava pulp (CP), and cassava chip (CC). Each binder at 5%, 10%, or 15% (wt.) was mixed with TRWB and water before pelletizing using a flat die machine. The results revealed that pelletizing TRWB with different cassava-based binders at various blending ratios influenced the physicochemical characteristics of the TRWB pellets, particularly dimensions, bulk density, fuel and atomic ratios, and energy content. The TRWB pellets demonstrated energy densities in the range of 7.95–11.39 GJ/m3, and their mechanical durability and fine content fell within acceptable ranges. The TRWB pellets maintained their shape during 120 min of water soaking, with water absorption levels varying by binder dose. The pelletizing ability, material, and energy costs of TRWB pellets depend on binder type and dose. CP can be applied as a binder for pelletizing torrefied rubberwood biomass. However, the mechanical durability of the product needs to be above the user requirement or standard. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Pelletizing

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Properties of the mixing layer height retrieved from ceilometer measurements in Slovakia and its relationship to the air pollutant concentrations

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environmental science and Pollution Research 2023年第54期30卷 115666-115682页

作者： Nguyen, Duy-Hieu Štefánik, Dušan Šedivá, Tereza Lin, Chitsan Ph.D. Program in Maritime Science and Technology College of Maritime National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan Slovak Hydrometeorological Institute Jeséniova 17 Bratislava833 15 Slovakia Faculty of Mathematics Physics and Informatics Comenius University in Bratislava Mlynská Dolina F1 Bratislava842 48 Slovakia Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan

Mixing layer height (MLH) is an important meteorological parameter for air quality since it significantly affects ground-level pollution in the atmosphere. This study examined the properties of the MLH on diurnal and seasonal timescales over a 3-year period (2020–2022) using high temporal resolution measurements from eight Vaisala CL31 ceilometers situated around Slovakia. Hourly averaged MLH data was retrieved from the BL-View software using merged method. The highest daily maxima for the MLH occurred mostly in summer and spring, while the lowest values occurred predominantly during winter and autumn. The average MLH daily maximum in summer was 2229 m, and just 859 m in winter. During summer, the spatial distribution of the MLH daily maxima was more uniform compared to winter, when the air masses within the individual valleys did not mix well. Correlations between ground-level pollutant concentrations and hourly mean/daily mean MLH were analyzed. The highest correlation, R≈0.6, was found for O3. For PM10, PM2.5, and NOx, the anticorrelations with MLH were found with maximum in winter (R ≈ − 0.3 for hourly data and R ≈ − 0.5 for daily mean data) but no relation in summer. Lastly, the ceilometer MLH was compared to the radiosonde retrieved MLH for various cloud covers. Our analysis is based on an extensive set of empirical data, which can improve the accuracy and effectiveness of meteorological and atmospheric chemistry models. The findings can support air pollution forecasting and warning systems, providing valuable insights for policymakers and researchers. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Air quality

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Microwave processing of carbon doped Nickel-Cobalt composites for high-performance supercapacitors

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Materials Today: Proceedings 2022年 67卷 1005-1009页

作者： Kumar, Niraj Bhusan Sahoo, Bibhuti Kumar Sahoo, Naresh Soam, Ankur Kumar, Rahul Dash, Barada P. Kumar Sahoo, Prasanta Maharashtra Pune 411025 India Department of Mechanical Engineering Siksha ‘O’ Anusandhan Deemed to be University Odisha Bhubaneswar 751030 India Department of Chemistry Environmental Science and Technology Program Siksha ‘O’ Anusandhan Deemed to be University Odisha Bhubaneswar 751030 India Department of Energy Science and Engineering IIT Delhi New Delhi 110016 India

A facile and rapid microwave synthesis method was used to make Co/Ni-carbon black (CB) nanocomposites. Several sophisticated techniques confirm the formation and the effects of carbon nanoparticles incorporated into Co/Ni-CB composites. Carbon engrafted Co/Ni composite demonstrates excellent morphology, more significant area, and higher conductive region, thus improving electrode/electrolyte accessibility to enhance electrochemical kinetics. The interaction and combination of CB with Co/Ni composite shows excellent capacitive behavior, assessed by galvanostatic discharge method, cyclic voltage voltammetry, and electrochemical impedance spectroscopy. CB plays a crucial role in stimulating the formation of robust structures, surface activity, and specific capacitance through enhancing electron transport and catalytic properties. This electrode material (NX3) has the highest specific capacitance of 748 Fg−1 at scan rates of 5 mVs−1 and was found to have excellent cycle stability (92.8%) over 5000 cycles. Solid-state supercapacitors fabricated from developed electrodes are highly effective for brightening LEDs. In this study, we demonstrated for the first time a single-step technique that is both quick and efficient for the synthesis of Co/Ni-carbon black heterostructure by using microwave irradiation. The present work suggests that low-cost electrodes can be used in a wide range of future energy storage systems as a potential hybrid material. © 2022

关键词： Nickel

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Accelerating environmental Research to Achieve Sustainable Development Goals

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environmental science & TECHNOLOGY LETTERS 2023年第11期10卷 961-962页

作者： Mihelcic, James R. Barra, Ricardo O. Brooks, Bryan W. Diamond, Miriam L. Eckelman, Matthew J. Gibson, Jacqueline MacDonald Guidotti, Sunny Ikeda-Araki, Atsuko Kumar, Manish Maiga, Ynoussa McConville, Jennifer Miller, Shelly L. Pizarro, Valeria Rosario-Ortiz, Fernando Wang, Shuxiao Zimmerman, Julie B. Department of Civil & Environmental Engineering University of South Florida 4202 E Fowler Ave ENG 030 Tampa Florida 33620 United States Faculty of Environmental Sciences and EULA Chile Centre University of Concepcion Barrio Universitario s/n Concepción 4070386 Chile Department of Environmental Science Baylor University One Bear Place #97266 Waco Texas 76798-7266 United States Department of Earth Sciences and School of the Environment University of Toronto Toronto M5S 1A1 ON Canada College of Engineering Northeastern University Boston Massachusetts 02115 United States Department of Civil Construction and Environmental Engineering North Carolina State University Fitts-Woolard Hall Room 3253 915 Partners Way Raleigh North Carolina 27695-7908 United States UNICEF Latin America and Caribbean Regional Office Building 102 Alberto Tejada Street City of Knowledge 0843 Republic of Panama Faculty of Health Sciences Hokkaido University Kita 12 Nishi 5 Kitaku Sapporo 060-0812 Japan Sustainability Cluster School of Engineering University of Petroleum & Energy Studies Dehradun Uttarakhand 248007 India Escuela de Ingenieria y Ciencias Tecnologico de Monterrey Campus Monterey Monterrey 64849 Nuevo León Mexico Laboratory of Microbiology and Microbial Biotechnology UFR SVT University Joseph KI-ZERBO 03 BP 7021 Ouagadougou Burkina Faso Department of Energy and Technology Swedish University of Agricultural Sciences Box 7032 Uppsala SE-750 07 Sweden Department of Mechanical Engineering University of Colorado Boulder 427 UCB Boulder Colorado 80309-0427 United States Perry Institute for Marine Science Windsor School (Albany Campus) Frank Watson Boulevard Adelaide The Bahamas Department of Civil Environmental and Architectural Engineering Environmental Engineering Program University of Colorado Boulder Colorado 80309 United States State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing 100084

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Integrated microalgae culture with food processing waste for wastewater remediation and enhanced biomass productivity

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Chinese Chemical Letters 2023年第2期34卷 636-643页

作者： Angela Paul Peter Kit Wayne Chew Apurav Krishna Koyande Heli Siti Halimatul Munawaroh Amit Bhatnagar Yang Tao Chihe Sun Fubao Sun Zengling Ma Pau Loke Show Department of Chemical and Environmental Engineering Faculty of Science and EngineeringUniversity of Nottingham MalaysiaJalan Broga43500 SemenyihSelangor Darul EhsanMalaysia Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection Wenzhou UniversityWenzhou 325035China Study Program of Chemistry Department of Chemistry EducationFaculty of Mathematics and Science EducationUniversitas Pendidikan IndonesiaBandung 40154Indonesia Department of Separation Science LUT School of Engineering ScienceLUT UniversitySammonkatu 12FI 50130MikkeliFinland College of Food Science and Technology Nanjing Agricultural UniversityNanjing 210095China Key Laboratory of Industrial Biotechnology Ministry of EducationSchool of BiotechnologyJiangnan UniversityWuxi 214122China Department of Sustainable Engineering Saveetha School of EngineeringSIMATSChennai 602105India

Waste generation from food manufacturing facilities poses a serious hazard like environmental degradation, water pollution, and land pollution due to its high nutrient composition. Specifically, solid waste(powder) disposal requires additional energy sources in terms of scientific treatment, structured collection, and disposal packaging according to the safety regulation. Thus, this research discusses the viewpoint of integrating food processing waste as an organic carbon source with BG-11 medium for Chlorella vulgaris(FSP-E) growth. The food processing waste powders investigated in this study were obtained from milk, and biscuit manufacturing facilities. The culture medium was modified by combining both BG-11 and food processing waste powders to identify the optimal algal growth and biochemical *** to the microalgae grown in BG-11 alone(IBG), the combination of biscuit waste and IBG produced higher biomass concentration(44%), with increased lipid(11%), protein(20%), and carbohydrate(57%) contents. Chlorella vulgaris was able to uptake nutrients from the culture medium with combination of food processing waste and IBG thus enhancing its growth. The results obtained also indicate that an integrated culture system using food processing waste and synthetic sources can generate energy out of waste by improving the bio-composition of the microalgae biomass.

关键词： Medium contamination Food processing Waste powder Organic medium Waste remediation

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Biosorption of chromium by live and dead cells of Bacillus nitratireducens isolated from textile effluent

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Chemosphere 2024年 359卷 142389页

作者： Imron, Muhammad Fauzul Setiawan, Wahyu Putranto, Trisnadi Widyaleksono Catur Abdullah, Siti Rozaimah Sheikh Kurniawan, Setyo Budi Study Program of Environmental Engineering Department of Biology Faculty of Science and Technology Universitas Airlangga Campus C UNAIR Jalan Mulyorejo Surabaya60115 Indonesia Department of Water Management Faculty of Civil Engineering and Geosciences Delft University of Technology Stevinweg 1 CN Delft2628 Netherlands Study Program of Environmental Science Postgraduate Program Sriwijaya University Palembang30139 Indonesia Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Bangi Selangor 43600 Malaysia

Bacillus nitratireducens was isolated from textile effluent and showed high tolerance to chromium (Cr), reaching up to a 1000 mg/L MIC value. This research was aimed at utilizing biosorbents from live and dead cells of B. nitratireducens to remove Cr from an aqueous solution. A batch biosorption test was performed, and mechanisms analysis was approached by an adsorption-desorption test, SEM-EDS, and FTIR analysis. Cr removal by dead cells in 25, 50, and 100 mg/L of Cr were 58.99 ± 0.7%, 69.8 ± 0.2%, and 82.87 ± 0.11%, respectively, while that by live cells was 73.08 ± 1.9%, 80.27 ± 6.33%, and 86.17 ± 1.93%, respectively. Live cells showed significantly higher Cr removal and adsorption capacities as compared to dead cells. In all concentrations, absorption contributed more than adsorption to the Cr removal by both live and dead cells. Absorption of Cr was subjected to occur due to passive mechanisms in dead cells while involving some active mechanisms in live cells. SEM-EDS confirmed the detection of Cr on the cell surface, while FTIR revealed the shifting of some peaks after the biosorption test, suggesting interactions between Cr and functional groups. Further TEM analysis is suggested to be conducted as a future approach to reveal the inner structure of cells and confirm the involvement of absorption mechanisms. © 2024 Elsevier Ltd

关键词： Heavy metals

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Assessment of the Statistical Performance of Chemical Transport Model Studies in India

ACS ES&T Air

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ACS ES&T Air 2024年第12期1卷 1519-1530页

作者： Rishi Shandilya Pranav Chaudhari Srinidhi Balasubramanian Environmental Science and Engineering Department Indian Institute of Technology Bombay Mumbai India 400 076 Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai India 400 076

India’s public health is seriously endangered by air pollution and linked to ∼0.8–0.98 million and 0.17 million premature deaths annually from chronic exposure to particulate matter (PM2.5) and ozone, respectively. Air quality forecasting tools are needed to assess the spatiotemporal variability of air pollutants and evaluate the impact of potential mitigation measures. Gridded concentrations of PM2.5and ozone are typically derived from first principle models called Chemical Transport Models (CTMs). Widespread application of CTMs, particularly for regulatory purposes, requires an understanding of model performance in comparison with observation data. A landscape approach that systematically reviews CTM model predictions and proposes benchmarks for assessing model performance can offer a way forward to build confidence in CTM-backed forecasting tools. Following similar efforts in the United States and China, we systematically shortlisted and examined model performance outcomes for 46 CTM studies reporting PM2.5and ozone predictions in India between 2008 and 2023. The reported statistical metrics for each pollutant (normalized mean bias (NMB), normalized mean error (NME), coefficient of correlation (r), and index of agreement (IOA) were rank ordered to identify two types of benchmarks: “goals” (highest achievable model accuracy based on top one-third performing studies) and “criteria” (typical model accuracy based on the top two-third performing studies). The identified goal performance for PM2.5was 17% (NMB), 34% (NME), and 0.67 (r), and ozone was 14% (NMB), 43% (NME), and 0.89 (r). These benchmarks are less restrictive than those reported for the United States and China. This highlights the need for the CTM community to coalesce around a common set of practices in evaluating CTMs. Additionally, complementary efforts in developing representative emissions inventories and including air pollution data from the expanding observational networks are required to update suc

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