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Carbonaceous and nitrogenous disinfection by-products potential formation and removal technologies from the water treatment process: A review

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AIP Conference Proceedings 2024年第1期3026卷

作者： Tazkiaturrizki Tazkiaturrizki Sandyanto Adityosulindro Djoko Mulyo Hartono Setyo Sarwanto Moersidik Environmental Engineering Study Program Department of Civil Engineering Faculty of Engineering Universitas Indonesia Depok Indonesia Environmental Engineering Department Faculty of Architecture Landscape and Environmental Engineering Universitas Trisakti Jakarta Indonesia

Not only at the water treatment process, disinfection is required for the inactivation of pathogen microorganisms in wastewater treatment before it is released to the waterbodies or for recycling purposes. During the disinfection process by chlorination, it found the formation of harmful disinfection by-products (DBPs). DBPs formed because of the reaction of inorganic and organic matter as precursors with chlorine/chloramine. The aim of this research is to analyze the potential formation of Carbonaceous Disinfection By-products (C-DBPs) as the most DBPs in the water and Nitrogenous Disinfection By-products (N-DBPs) as the most DBPs of the wastewater. Most DBPs have precursors from natural organic matter (NOM) and the effluent of sewage treatment contributes to increasing the DBPs precursor. The review method start with identifying DBPs precursor, potential formation of DBPs, factor affecting the formation DBPs, and finding the advanced technologies that are appropriate to remove DBPs and their precursors. It found that trihalomethanes (THMs) is the most widely found in water treatment such as chloroform, bromodichloromethane, and bromoform. N-nitrosodimethylamine (NDMA) is one of N-DBPs that most presence in polluted water and also haloacetonitriles (HANs), haloacetamides (HAcAms), Nitrosoamine (NAs), cyanogen halides (CNX), halonitromethanes (HNMs), N-nitrosomethylethylamine (NMEA). The result shows that disinfection plays a role of formation DBPs in water and wastewater treatment. DBPs have potential health risks for the human body because they are genotoxic and carcinogenic. Physicochemical treatment can remove the precursor of DBPs and advanced treatment enhances the removal of DBPs.

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Recent trend of metal promoter role for CO₂ hydrogenation to C₁ and C₂₊ products

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South African Journal of Chemical engineering 2023年 44卷 14-30页

作者： Sholeha, Novia Amalia Holilah, Holilah Bahruji, Hasliza Ayub, Athirah Widiastuti, Nurul Ediati, Ratna Jalil, Aishah Abdul Ulfa, Maria Masruchin, Nanang Nugraha, Reva Edra Prasetyoko, Didik College of Vocational Studies Bogor Agricultural University (IPB University) Jalan Kumbang No. 14 Bogor 16151 Indonesia Research Center for Biomass and Bioproducts National Research and Innovation Agency of Indonesia (BRIN) Cibinong 16911 Indonesia Department Chemistry Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Kampus ITS Keputih Surabaya Sukolilo 60111 Indonesia Centre of Advanced Material and Energy Science Universiti Brunei Darussalam Jalan Tungku Link BE 1410 Brunei Darussalam Department of Chemical Engineering Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia 81310 UTM Skudai Johor Johor Bahru Malaysia Centre of Hydrogen Energy Institute of Future Energy Universiti Teknologi Malaysia Skudai 81310 UTM Skudai Johor Johor Bahru Malaysia Chemistry Education Study Program Faculty of Teacher Training and Education Sebelas Maret University Jl. Ir. Sutami 36A Surakarta 57126 Indonesia Research Collaboration Center for Biomass and Biorefinery between BRIN and Universitas Padjadjaran Jatinangor 45363 Indonesia Department of Chemical Engineering Faculty of Engineering Universitas Pembangunan Nasional “Veteran” Jawa Timur East Java Surabaya 60294 Indonesia

CO2 hydrogenation as sustainable route for generation of value-added carbon feedstock is identified as green pathway for mitigation of greenhouse gasses emission. CO2 methanation is one of the promising solutions, whi... 详细信息

CO₂ hydrogenation as sustainable route for generation of value-added carbon feedstock is identified as green pathway for mitigation of greenhouse gasses emission. CO₂ methanation is one of the promising solutions, which only requires reactions at atmospheric pressure while utilizing metal catalysts to overcome kinetic limitations. Metal catalysts can be promoted to alter reducibities, CO₂ adsorption capacities, and H_2[sbnd]CO₂ dissociation potential. The role of metal promoter such as rare earth elements (Ce, Mn, Co, and La) and alkali and alkali earth metal (Li, Na, Ca, and K) will be discussed within the scope of CO₂ methanation. The aspect of catalysts modification towards hydrogen dissociation potential and surface oxygen vacancy will be emphasized to enhance selectivity for methane. Another pathway for CO₂ hydrogenation is via further conversion into longer chain molecules such as olefin and ethanol. The benefit of metal promoter will be discussed in this review on the effect towards promoting C[sbnd]C coupling reaction for producing longer chain alcohol and light olefin. The strategies to develop active catalysts for the coupling reaction of C[sbnd]C will be emphasized with the promoter introduction. For the hydrogenation of CO₂ to longer chain molecules, the main metal catalysts Ni, Pd, Rh, and Co, and their modification with promoter such as Ga, Cu, and alkali metal Na, K will be discussed. A critical analysis of the CO₂ methanation mechanism and further C[sbnd]C reaction to longer chain molecules will be discussed, particularly the effect of metal promoters to stabilize the intermediate and maneuver the catalytic reaction pathway into the desired products. © 2023 The Author(s)

关键词： C1 products C2+ products CO2 Hydrogenation Metal promoter

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Thermomagnetic Anomalies by Magnonic Criticality in Ultracold Atomic Transport

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Physical Review Letters 2024年第16期133卷 163402页

作者： Yuta Sekino Yuya Ominato Hiroyuki Tajima Shun Uchino Mamoru Matsuo Interdisciplinary Theoretical and Mathematical Sciences Program (iTHEMS) Nonequilibrium Quantum Statistical Mechanics RIKEN Hakubi Research Team RIKEN Cluster for Pioneering Research (CPR) Wako Saitama 351-0198 Japan RIKEN Cluster for Pioneering Research (CPR) Astrophysical Big Bang Laboratory (ABBL) Wako Saitama 351-0198 Japan Waseda Institute for Advanced Study Department of Physics School of Science Faculty of Science and Engineering CAS Center for Excellence in Topological Quantum Computation Advanced Science Research Center Wako Saitama 351-0198 Japan

We investigate thermomagnetic transport in an ultracold atomic system with two ferromagnets linked via a magnetic quantum point contact. Using the nonequilibrium Green’s function approach, we show a divergence in spin conductance and a slowing down of spin relaxation that manifest in the weak effective-Zeeman-field limit. These anomalous spin dynamics result from the magnonic critical point at which magnons become gapless due to spontaneous magnetization. Our findings unveil untapped dynamics in ultracold atomic systems, opening new avenues in thermomagnetism.

关键词： Cold gases in optical lattices Magnons Magnetic insulators Magnetic tunnel junctions Nonequilibrium Green's function Spin wave theory

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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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Pulmonary Disease Pattern Recognition on X-Ray Radiography Image Using Artificial Neural Network (ANN) Method 3

Pulmonary Disease Pattern Recognition on X-Ray Radiography I...

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3rd Annual Scientific Meeting on Medical Physics and Biophysics, PIT-FMB in conjunction with the 17th South-East Asia Congress of Medical Physics, SEACOMP 2019

作者： Fitriyah, N. Kurniawati, L.D. Purwanti, E. Astuti, S.D. Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Department of Biomedical Engineering Post-Graduate Program Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia

This research aims to recognize the pattern of pulmonary disease on x-ray radiography image using artificial neural network (ANN) method. The images, which were used such as images of healthy pulmonary, pulmonary tuberculosis, and pulmonary tumour. Pattern recognition was using an extraction feature of GLCM (Gray Level Co-occurrence Matrix) and back propagation method. Before being identified, the images were processed by median filter and adaptive histogram equalization. The GLCM features that used were homogeneity, energy, contrast, variance and correlation. The parameters were learning rate and hidden layer. Learning rate was 0.3 and hidden layer was 25. Back propagation training showed 100% accuracy, which all of 44 images were used had been successfully identified. From the result, the healthy pulmonary showed 60% accuracy, 83.3% for pulmonary tuberculosis and 100% for pulmonary tumor. Hence, the overall result showed 81.25% accuracy, which 13 of 16 images had been successfully identified. From these result, extraction feature of GLCM using back propagation method was capable to recognize the pattern of pulmonary disease. However, due to narrow range of the feature, this application may not be used optimally for comparing features in every category of images. Therefore, the further research is needed to determine the best features and parameters of training back propagation. © Published under licence by IOP Publishing Ltd.

关键词： Pattern recognition

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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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Energy consumption of high-rise double skin façade buildings, a machine learning analysis

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Journal of Building engineering 2024年 89卷

作者： Rezaie, Maedeh Kariminia, Shahab Band, Shahab S. Ameri, Rasoul Farokhi, Maryam Pai, Hao-Ting Gocer, Ozgur Rismanchi, Behzad Shooshtarian, Salman Department of Architecture Advancement in Architecture and Urban Planning Research Center Najafabad Branch Islamic Azad University Najafabad Iran Future Technology Research Center National Yunlin University of Science and Technology Douliu Taiwan Department of Information Management International Graduate School of Artificial Intelligence National Yunlin University of Science and Technology Taiwan Department of Information Management National Yunlin University of Science and Technology Taiwan Bachelor Program of Big Data Applications in Business National Pingtung University Pingtung Taiwan School of Architecture Design and Planning The University of Sydney SydneyNSW Australia Renewable Energy and Energy Efficiency Group Department of Infrastructure Engineering Faculty of Engineering and Information Technology The University of Melbourne Australia School of Property Construction and Project Management RMIT University Melbourne Australia

Most energy exchanges take place through the building skin. The skin characteristics play a decisive role in the extent of these exchanges, but they are somewhat more varied in the double skin façade (DSF). Among these characteristics, cavity segmentation has a noticeable effect on the implementation of the DSF in different directions during the hot and cold seasons. The aim of this study was to investigate the role of DSF segmentation in energy consumption and natural ventilation of high-rise buildings in hot and dry climates. This study used DesignBuilder software to study sixty-four segmentation component scenarios in an eight-story residential building in Isfahan, Iran. Moreover, a proposed hybrid model utilizing the hybridization of the Hunger Game Search and Gradient Boosting (HGS-GB) algorithm was employed to estimate energy consumption in various scenarios involving lighting, heating, cooling, and total scenarios. The available outcomes revealed that the HGS-GB model had a better performance in comparison with other individual models, such as Gradient Boosting (GB), Random Forest (RF), and K-nearest neighbors (KNN). The R2 values for lighting, heating, cooling, and total energy estimation were 0.9993, 0.9958, 0.9991, and 0.9922, respectively. The findings of this study suggest the significance of DSF segmentation in energy consumption and natural ventilation in high-rise buildings in hot and dry climates. © 2024 Elsevier Ltd

关键词： Forestry

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Biogas : Alternative energy on supporting environmentally coffee shop in Samosir Island 5

Biogas : Alternative energy on supporting environmentally co...

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5th Friendly City International Conference: Enhancing Culture, Community and Environment, FCIC 2019

作者： Ginting, Nurzainah Tarigan, Atifah N Royba, Inqilab Akbar Animal Production Study Program Faculty of Agriculture Universitas Sumatera Utara Medan20155 Indonesia Architecture Program Study Faculty of Engineering Universitas Sumatera Utara Medan20155 Indonesia Toba Lake and Sustainable Tourism Working Group Universitas Sumatera Utara Medan20155 Indonesia

Samosir Island is one of tourism destination in Indonesia and there was an increasing of coffee shop number. This research tries to investigate how much financial profit received by coffee shop if it use biogas as a new energy source. This research had been conducted from April to June 2018. Research parameter were production costs, income, revenue, Benefit Cost Ratio, Revenue Cost Ratio, Return On Investment, Break Even Point, and identify opportunities, threats, strengths and weaknesses by SWOT analysis to identify whether the community of Samosir is willing to use biogas. The results of financial analysis namely production cost IDR 1,964,500;income of IDR.4,360,000;revenue of IDR. 2,303,000;B/C (%) was 79.7;R/C (%) was 151;ROI (year) of 1.6;BEP Price was IDR. 5,302;BEP Production of 361 glass. By SWOT Analysis it was known that development strategies are taken place include socialize biogas technology, benefits of biogas on energy, fertilizer and soil quality to the community, benefits of biogas in saving fuel purchases and providing biogas stock devices on biogas group. The result showed that biogas was worthy of being used as a new energy source on the coffee shop business on Samosir Island. © Published under licence by IOP Publishing Ltd.

关键词： Biogas

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The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis

The Scientific Progress and Prospects of Artificial Intellig...

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International Seminar on Intelligent Technology and Its Applications (ISITIA)

作者： Fairuz Iqbal Maulana Puput Dani Prasetyo Adi Dian Lestari Sandy Vikki Ariyanto Agung Purnomo Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Telecommunication Research Center National Research and Innovation Agency Jakarta Indonesia Faculty of Medicine Universitas Airlangga Surabaya Indonesia Informatics Engineering Study Program University of Madura Pamekasan Indonesia Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

Using the Scopus database, this study aims to investigate the use of artificial intelligence for cancer detection in the last ten years from 2013 to 2022. The researchers used bibliometric analysis combined with VosViewer and Rstudio software quantification method for literature analysis. The results of the flushed articles show data such as publication year, journal, country, keywords, and authors, to the highest number of citations. Common keywords used by researchers are artificial intelligence, medical, and human. Researchers limited the findings through keywords such as in the last ten years, documents are journals, and English only so that 1868 articles were obtained. The results found that Harvard Medical School affiliation had the highest number of articles, with 101 articles, by subject area, Medicine had a proportion of 41.9% (n=1320). This bibliometric study will be useful for other researchers to examine the development of research on Artificial Intelligence for Cancer Detection in the last ten years.

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Practical formula to calculate solar factor in Semarang

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AIP Conference Proceedings 2024年第1期2710卷

作者： Lili Kusumawati Erni Setyowati Agus Budi Purnomo Department of Architecture Faculty of Civil Engineering and Planning Trisakti University Jakarta Indonesia Doctoral Program in Architecture and Urban Science Diponegoro University Semarang Indonesia Department of Architecture Faculty of Engineering Diponegoro University Semarang Indonesia

To get the OTTV value, you must first calculate the solar radiation value. Solar radiation occurs as a result of the sun’s heat being exposed to the surface of the building and then goes inside so that the air temperature inside the building gets hotter. The solar factor is one of the elements of solar radiation which is important in determining the overall thermal transfer value for each outer area of a building. The availability of solar factor data in one place is very important to use for building design purposes. Calculating the solar factor is very difficult, moreover, SNI only contains data for the city of Jakarta. There are several ways to calculate the solar factor, with available SNI tables or by laboratory experiments or direct measurements of sunlight. So to make it easier for the designer, we propose to use the rule of thumb formula. The method used is based on local solar factor data, then a radian angle is made from 0 ° -360 °, which results in an ellipse shape in an equation. This paper concludes that the Rule of thumb formula is very helpful for architects in calculating the SF value and can also complete the table in SNI: 2011, which only contains the SF value for the city of Jakarta, meaning that it only applies in Jakarta, so similar research is needed to get the SF value for other cities in Indonesia.

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