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Review of mayflies (Insecta Ephemeroptera) as a bioindicator of heavy metals and microplastics in freshwater

science of the Total Environment 2025年 958卷 178057页

作者： Benhadji, Nadhira Kurniawan, Setyo Budi Imron, Muhammad Fauzul Institute of Technology and Life Sciences—National Research Institute Falenty Hrabska Avenue 3 Raszyn05-090 Poland Department of Chemical and Process Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor UKM Bangi43600 Malaysia 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

Heavy metal and microplastic pollutions are prevalent in freshwater ecosystems, with many freshwater bodies being contaminated by one or both of these pollutants. Recent studies reported extreme detections of Cd, Pb and Zn, high concentrations of Cr, Pb and Cu and microplastics acting as vectors of pollutants, including heavy metals. Mayflies can serve as bioindicators of heavy metal contamination in freshwater ecosystems because changes in their community structure, physiology, and behaviour can reflect and help predict the concentrations of metals in these environments. This review discusses the ecological alterations induced by tissue metal concentration in mayflies and other macroinvertebrates. As sensitive taxa to heavy metal contamination, mayflies can reflect the impacts of this pollution through their ethology and relationship to the substrate, highlighting issues such as eutrophication, alterations in community structure, inhibitory effects and sediment toxicity. Mayflies are also highly affected by microplastic exposure, which leads to ingestion, bioaccumulation, biomagnification, habitat and community alteration, behavioural changes, physiology alteration and toxicity. Mayflies bioindication metrics for assessing the impact of heavy metals and microplastics include the examination of community alteration, functional feeding behaviour, molecular structure, dietary and toxicity impacts, bioaccumulation and biomagnification and biomarkers. Current challenges for the utilization of mayflies as bioindicators include temporal variations in sensitivity, lack of universally recognised protocols and need for standardised protocols for microplastic analysis. Additionally, the applicability of mayflies as bioindicators may vary across different ecosystems, emphasising the need for selecting suitable indicators that align with the unique characteristics of the ecosystem. © 2024 The Authors

关键词： Macroinvertebrates

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Wind speed forecasting approach using conformal prediction and feature importance selection

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International Journal of electrical Power and Energy Systems 2025年 168卷

作者： Zuege, Cesar Vinicius Stefenon, Stefano Frizzo Yamaguchi, Cristina Keiko Mariani, Viviana Cocco Gonzalez, Gabriel Villarrubia Coelho, Leandro dos Santos Graduate Program in Electrical Engineering Federal University of Parana PR Curitiba Brazil Postgraduate Program in Productive Systems in Association with UNIPLAC UNC UNESC and UNIVILLE SC Brazil Department of Electrical Engineering Federal University of Parana PR Curitiba Brazil Graduate Program in Mechanical Engineering Federal University of Parana PR Curitiba Brazil Expert Systems and Applications Lab Faculty of Science University of Salamanca Salamanca37008 Spain

Wind energy is a rising renewable energy source that plays an important role in the transition to a more sustainable energy system. Variation in wind power generation is one of the main challenges facing this energy source. Wind forecasting approaches are essential for planning and operating wind farms, but are complex due to the dynamic nature of the wind and the influence of local factors. This paper evaluates short-term forecasting of time series with a measure of uncertainty associated with wind speeds. The proposed method considers the conformal prediction approach and, based on Shapley values, uses optimal selection of features given their importance. Furthermore, a Bayesian Optimization with Tree-structured Parzen Estimators (BO-TPE) will be used to tune the hyperparameters of the models. The results showed that using Variational Mode Decomposition (VMD) allied with Singular Spectrum Analysis (SSA) to feed into a conformal prediction model improved the performance of the model. Taking into account a Beutenberg data set, Germany, the best model was Light Gradient Boosting Machine (LGBM)-VMD-SSA without partial fit, resulting in a root mean squared error (RMSE) criterion of 0.25031, coverage measure of 94.4%, and width measure of 1.008. When considering a dataset from Limoeiro, Brazil, the best model was also LGBM-VMD-SSA without partial fit, resulting in an RMSE of 0.21597, a coverage of 90.3%, and a width of 0.678. SHapley Additive exPlanations (SHAP) bring explainability to the model results. The models proposed in this study, hypertuned by BO-TPE with interpretable results based on SHAP, can be useful in predicting wind speed and power generation. © 2025 The Authors

关键词： Windmill

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A Neuroelectronic Interface with Microstructured Substrates for Spiral Ganglion Neurons Cultured In Vitro: Proof of Concept

Biosensors

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Biosensors 2025年第4期15卷 224-224页

作者： Delipetar, Boris Žarković Krolo, Jelena Bedalov, Ana Kovačić, Damir Department of Physics Faculty of Science University of Split Ruđera Boškovića 33 Split21000 Croatia University of Split Ruđera Boškovića 31 Split21000 Croatia The Doctoral Program in Mechanical Engineering Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture University of Split Ruđera Boškovića 32 Split21000 Croatia The Doctoral Program in Biophysics Faculty of Science University of Split Ruđera Boškovića 33 Split21000 Croatia Bedalov d.o.o for Research Development and Consulting Ulica T. Antunovića 17 Kaštel Sućurac21212 Croatia

In this study, we present a proof-of-concept neuroelectronic interface (NEI) for extracellular stimulation and recording of neurophysiological activity in spiral ganglion neurons (SGNs) cultured in vitro on three-dimensional, micro-patterned substrates with customized microtopographies, integrated within a 196-channel microelectrode array (MEA). This approach enables mechanotaxis-driven neuronal contact guidance, promoting SGN growth and development, which is highly sensitive to artificial in vitro environments. The microtopography geometry was optimized based on our previous studies to enhance SGN alignment and neuron-electrode interactions. The NEI was validated using SGNs dissociated from rat pups in the prehearing period and cultured for seven days in vitro (DIV). We observed viable and proliferative cellular cultures with robust neurophysiological responses in the form of local field potentials (LFPs) resembling action potentials (APs), elicited both spontaneously and through electrical stimulation. These findings provide deeper insights into SGN behavior and neuron-microenvironment interactions, laying the groundwork for further advancements in neuroelectronic systems. © 2025 by the authors.

关键词： Neurons

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Communal-based domestic rainwater harvesting system: A novel approach to alternative solutions for increasing water supply and recharging groundwater in Jagakarsa urban area, South Jakarta

Case Studies in Chemical and Environmental Engineering

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Case Studies in Chemical and Environmental engineering 2025年 11卷

作者： Suprapti, Suprapti Kusuma, Muhammad Syahril Badri Kardhana, Hadi Cahyono, Muhammad Juliana, Imroatul Chalimah Doctoral Program of Civil Engineering Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha No. 10 Jawa Barat Bandung 40132 Indonesia Water Resources Engineering Group Faculty of Civil and Environmental Engineering Institut Teknologi Bandung Jl. Ganesha No. 10 Jawa Barat Bandung 40132 Indonesia Civil Engineering Department Faculty of Engineering and Sciences Ibnu Khaldun Bogor University Jl. Sholeh Iskandar Km. 2 Jawa Barat Kota Bogor 16162 Indonesia Research Center for Ecohydrology Ecohydraulics and Engineering Science Bandung Jl. Babakan Jeruk 1 No. 100 Jawa Barat Bandung 40132 Indonesia Civil Engineering Study Program Sriwijaya University Jl. Raya Lintas Timur Palembang - Prabumulih No. Km. 32 Indralaya Indah South Sumatra Indralaya Indonesia Study Program of Civil Engineering Faculty of Engineering Universitas Mercu Buana Jl. Meruya Selatan No. 01 Kembangan-Jakarta Barat Jakarta 11650 Indonesia

This study proposes a new approach, a communal-based domestic rainwater harvesting (CDRWH) system, which is a new model that combines domestic and communal rainwater harvesting systems. This model is an alternative solution to improve system performance and utilize rainwater overflow from the system. Rainwater runoff from several domestic tanks is channeled to a communal tank to be collected, processed, and redistributed to needy domestic tanks. Overflow from the communal tank is used for groundwater recharge. The CDRWH system model aims to increase water supply, reduce runoff, and conserve groundwater. The model simulation uses daily water balance analysis and yield before spillage algorithm. The simulation scenario uses variations in roof area, number of house occupants, storage tank volume, and rainfall categories: 20 years, wet year, normal year, and dry year. Jagakarsa, an urban area in South Jakarta, was selected for the CDRWH system modeling. The results showed that the CDRWH model significantly improved the performance of the volumetric reliability (VR) and time reliability (TR) systems. In addition, the model could show a comparison of total groundwater recharge (GWR) and groundwater extraction (GWE), where the GWR capacity was higher. This allows centralized rainwater management in communal tanks, thereby reducing groundwater usage. The design of this model is simple. Therefore it can be easily duplicated for application in other locations. © 2025 The Authors

关键词： Communal-based domestic rainwater harvesting (CDRWH) Groundwater extraction (GWE) Groundwater recharge (GWR) Jagakarsa-South Jakarta Reduced runoff Water supply

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Development of location suitability prediction for health facilities using random forest machine learning in 2030 integrating remote sensing and GIS in West Java, Indonesia

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Environmental Advances 2025年 19卷

作者： Virtriana, Riantini Ihsan, Kalingga Titon Nur Anggraini, Tania Septi Deliar, Albertus Harto, Agung Budi Riqqi, Akhmad Sakti, Anjar Dimara Remote Sensing and GIS Research Group Faculty of Earth Science and Technology Bandung Institute of Technology Bandung 40132 Indonesia Center for Remote Sensing Bandung Institute of Technology Bandung 40132 Indonesia Doctor Program in Program Study of Geodesy and Geomatic Engineering Faculty of Earth Sciences and Technology Bandung 40132 Indonesia Geographic Information Science Universitas Pendidikan Indonesia Bandung 40111 Indonesia Center for Spatial Data Infrastructure Bandung Institute of Technology Bandung 40132 Indonesia

Access to healthcare facilities is crucial in the present day. Healthcare facilities must be proportional to the population in a given area. Therefore, it is important to increase the number of healthcare facilities in regions where there is an imbalance. Proper planning and a sustainability review are necessary when determining locations for healthcare facilities. Environmental changes can affect the suitability of a location in the future. Thus, planning that can predict future suitability conditions is required to ensure that the built locations have high sustainability. This study predicts the suitability of healthcare facility locations in 2030 in West Java using remote sensing and Geographic Information System (GIS). Both static and dynamic data processed at 30×30 meter intervals across West Java will be used. Geospatial and remote sensing data are utilized in the study. Dynamic parameter extrapolation uses data from 2000 to 2018. The random forest machine learning method is employed to obtain the suitability values for healthcare facility locations using existing health facility training data in West Java. The results show changes in the suitability classes of healthcare facilities in each region from 2018 to 2030, with some areas experiencing an increase or decrease in class. This research highlights consistently suitable locations, ensuring their sustainability as healthcare facility sites. © 2024

关键词： GIS Health Facility Machine Learning Remote Sensing

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Method for modelling the number of HIV and AIDS cases using least square spline Biresponse nonparametric negative binomial regression

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MethodsX 2025年 14卷 103336页

作者： Ramadan, Arip Chamidah, Nur Budiantara, I Nyoman Lestari, Budi Aydin, Dursun Doctoral Study Program of Mathematics and Natural Sciences Faculty of Science and Technology Airlangga University Surabaya 60115 Indonesia Information System Study Program Department of Industrial and System Engineering Telkom University Surabaya Campus 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 Statistics Department Faculty of Science and Data Analytics Sepuluh Nopember Institute of Technology Surabaya 60111 Indonesia Department of Mathematics Faculty of Mathematics and Natural Sciences The University of Jember Jember 68121 Indonesia Department of Statistics Faculty of Science Muğla Sıtkı Koçman University Muğla 48000 Turkey Research Scholar at Department of Mathematics University of Wisconsin Oshkosh Algoma Blvd Oshkosh 54901 WI United States

We propose a new statistical modeling method to analyze functional relationship between predictor variables and correlated response variables, and apply it for modeling the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users. The proposed method is LS-Spline BNNBR that is a Biresponse Nonparametric Negative Binomial Regression (BNNBR) based on least squares spline (LS-Spline). To validate the proposed method, we compare it with classical method, namely Ordinary Least Square Biresponse Parametric Negative Binomial Regression (OLS-BPNBR). The results show that the LS-Spline BNNBR method provided deviance value of 7.542334 which is smaller than that of OLS-BPNBR method, namely 7.993935. Thus, the proposed method has better prediction fit than the classical method. • This study discusses new statistical modeling method for the number of HIV and AIDS cases influenced by early-age marriages and contraceptive users where the response variables are correlated with each other. • The model estimation results show that the number of HIV and AIDS cases in Indonesia will decrease if the early-age marriages percentage increases and the contraceptive users percentage decreases. • The results are useful to provide a scientific basis for making policies to control the number of HIV and AIDS cases in Indonesia. © 2025 The Authors

关键词： AIDS BLSSNNBR model Contraceptive user Early-age marriage HIV Least square spline

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Nutritional, chemical, and prospect of "mandai," traditional fermented food of Kalimantan

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Journal of Ethnic Foods 2025年第1期12卷 1-9页

作者： Yudistira, Sukma Amaliah, Nur Gozali, Gozali Purwaningrum, Hesti Gusriza, Fondina Sari, Rini Eka Kuntari, Erlina Daru Wibowo, Singgih Tri Yelfiarita, Yelfiarita Malik, Shintami Rouwelvia Wigati, Dyan Sulistiadi, Slamet Department of Tourism Universitas Negeri Padang West Sumatera Padang 25131 Indonesia Faculty of Food Science Mulawarman University East Kalimantan Samarinda 75123 Indonesia Department of Tourism Balikpapan State Polytechnic East Kalimantan Balikpapan 76126 Indonesia Sekolah Tinggi Pariwisata Ambarrukmo STIPRAM Bantul Yogyakarta 55198 Indonesia Department of Tourism Universitas Pembangunan Nasional Veteran Jawa Timur East Java Surabaya 60294 Indonesia Tour and Travel Business Department of Business Administration Politeknik Negeri Padang 25142 West Sumatera Padang Indonesia Universitas Mahakarya Asia Sleman Yogyakarta 55285 Indonesia Department of Travel Politeknik Pariwisata NHI Bandung East Java Bandung 40141 Indonesia Department of Agricultural Business Politeknik Pertanian Negeri Payakumbuh West Sumatera Limapuluh Kota 26271 Indonesia Program Studi Agribisnis Fakultas Pertanian Universitas Tadulako Central Sulawesi Kota Palu 94148 Indonesia Bachelor of Pharmacy Study Program Faculty of Health Sciences Universitas Dr Soebandi East Java Jember 68111 Indonesia Agriculture and Biosystem Engineering Faculty of Science and Technology Universitas Nahdlatul Ulama Purwokerto Central Java Banyumas 53145 Indonesia

Mandai, a traditional fermented delicacy, is produced from the inner peel of the cempedak fruit (Artocarpus champeden). This unique food is a culinary heritage of the Banjar ethnic group residing in Kalimantan, and is part of Indonesia’s rich collection of traditional fermented foods. This study aimed to analyze mandai by examining its fermentation processes and chemical and nutritional composition. It also discusses the potential and prospects of mandai development in the future. Through a narrative literature review, this study synthesized insights into mandai, emphasizing its significance as a functional food with rich antioxidant and probiotic properties. This review also shows that processing mandai through starter-induced fermentation can improve its quality and standards. This study serves as an important foundation for future mandai research by emphasizing the functional benefits and processing methods of mandai. © The Author(s) 2025.

关键词： Mandai Mandai chemical Mandai nutrition Potentials mandai Prospect mandai Traditional fermented food

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Smart electrical Devices Control with Intrusion Detection Alert

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第5期16卷 139-152页

作者： Achmad, Andani Muliadi Areni, Intan Sari Palantei, Elyas Hadis, Muhammad Sabirin Department of Electrical Engineering Faculty of Engineering Universitas Hasanuddin Gowa Indonesia Department of Electrical Engineering Education Faculty of Engineering Universitas Negeri Makassar Indonesia Study Program of Informatics STMIK AKBA Makassar Indonesia

The consumption profile of electrical energy always increases every year due to the highly consumptive and inappropriate lifestyles of modern society. A bad lifestyle such as forgetting to turn off the unused electronic devices when they are leaving home is one of the factors influenced the increasing consumption of electrical energy. This is off course contributing in wasting energy. In the paper, an IoT-based electronic device control system has been successfully constructed. Monitoring and control tasks could be performed remotely and in real time mode using an interface application installed on a smartphone. The system built is equipped with a device operational condition monitoring featured by placing light, temperature, thermal and current sensors, respectively. Through the utilization of the implemented system, users can monitor and control electronic devices easily and can figure out the condition of the device remotely in a real time mode. The control test on the system was successful with an average response time of approximately 3.32 seconds and the accuracy of sensor readings above 89%. With the implementation of this system, users can easily monitor and control electronic devices anywhere and anytime so that the opportunities for efficient and effective use of electrical energy could be further optimized. © 2022. All Rights Reserved.

关键词： Energy efficiency

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Meteorological data implications modeling on evapotranspiration variability in arid and semi-arid zones in Saudi Arabia using hybrid metaheuristic

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Scientific Reports 2025年第1期15卷 1-22页

作者： Noureddine, Oulad Naoui Mohamed, Sekkoum El Amine, Cherif Alzaed, Ali Gedfew, Meseret Abeje Ghoneim, Sherif S. M. Hussein, Enas E. Materials Energy Systems Technology and Environment Laboratory Department of Hydraulic and Civil Engineering University Ghardaia Bounoura Algeria Department of Civil Engineering Faculty of Civil Engineering and Architecture Amar Telidji University P. O. Box 37.G Laghouat 03000 Algeria Water Management and Treatment Laboratory University of Science and Technology of Oran Mohamed Boudiaf B.P. 1505 El M’Naouer Oran Algeria Architectural Engineering Program - Civil Engineering Department Faculty of Engineering Taif University Taif 21944 Saudi Arabia Department of Civil Engineering Faculty of Technology Debre Markos University P. O. Box 269 Debre Markos Ethiopia Department of Electrical Engineering College of Engineering Taif University Taif 21944 Saudi Arabia Water Management Research Institute National Water Research Center Shubra El-Kheima 13411 Egypt

This work is unique and contributes new knowledge to the field whereas it involves introducing a new method based on coupling two or three stochastic models, analyzing new data represented by drought and flooding risk relationship, and addressing a previously unexplored research question: Can we make a decision regarding future evapotranspiration-flooding risk relationship? In this paper, the Bat algorithm (BAT) with the Newton Method (NM), Bird Swarm Algorithm (BSA), Genetic Algorithm (GA), and Chicken Swarm Optimization Algorithm (CSO) are used as a hybrid model in arid and semi-arid zones in Saudi Arabia as well as for modeling rainfall, temperature, and solar radiation implications on evapotranspiration variability. Coupling between aridity and evapotranspiration over a long time can create flooding risks. This holistic modeling aims to reduce flooding risks and ensure the desired decision. Several models were employed to simulate some basins’ Potential and Actual evapotranspiration as case studies. The meteorological inputs of the hybrid models were calibrated and validated with metric evaluation for input and output of evapotranspiration, respectively. The results suggest that the application of a hybrid model can improve the accuracy of evapotranspiration simulations in terms of statistical parameters, whereas BAT–GA–NM reduced MAPE from 38.88 to 4.16% for Mekkah and from 14.94 to 2.04% for Medina and NSCE from − 0.17 to 0.97 for Mekkah and from 0.82 to 0.99%. Those parameters will provide a better understanding of evapotranspiration processes in watersheds and valuable information for early warnings of flooding risks. © The Author(s) 2025.

关键词： Evapotranspiration Hybrid metaheuristic Modeling Rainfall Solar radiation data Temperature

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Utilization plastic waste using pyrolysis fixed bed 1

Utilization plastic waste using pyrolysis fixed bed

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1st International Conference on Design, Energy, Materials and Manufacture, ICDEMM 2018

作者： Swamardika, I.B.A. Winaya, I.N.S. Hartati, R.S. Study Program of Electrical Engineering Faculty of Engineering University of Udayana Indonesia Study Program of Mechanical Engineering Faculty of Engineering University of Udayana Indonesia

This investigative research aims to convert urban non-organic waste fuels such as plastic waste into energy using fixed bed pyrolysis technology. Pyrolysis fixed bed (PFB) is one of the most efficient technologies for converting various types of undegradable solid waste into thermal energy and liquid fuels with high efficiency. The study was conducted on a lab-scale PFB reactor with dimensions of 15 cm and 55 cm in diameter and bed height respectively. The reactor is equipped with a cooling and decomposition system to accommodate liquid and gas products. Reactor temperature variations using an external heater were tested and quartz sands were selected as a bed material to improve the temperature function of the PFB reactor so as the maximum quality and quantity of liquid product were obtained. The fuel properties of the derived oil were tested including their physical properties, calorific value, elemental measurement (CHNOS) analysis. The results of the study showed that the increase in temperature resulted in an increased pyrolysis performance which was indicated by the increased volume and liquid caloric value. © Published under licence by IOP Publishing Ltd.

关键词： Pyrolysis

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