Review
Engineering, Chemical
Sharifah Mohammad, Siti Baidurah, Takaomi Kobayashi, Norli Ismail, Cheu Peng Leh
Summary: This article discusses the widespread use of ponding system or land application techniques for palm oil mill effluent (POME) treatment, particularly the integrated anaerobic-aerobic bioreactor (IAAB). Various POME treatment methods are explored in depth, with a focus on the promising IAAB system. The article also looks at the challenges and future prospects of POME treatment.
Article
Engineering, Environmental
Veroneka Semilin, Jidon Janaun, Chin Hing Chung, Dalila Touhami, Stephanie K. Haywood, Khim Phin Chong, Abu Zahrim Yaser, Sharif H. Zein
Summary: This study investigated the recovery of residual oil from POME using PP-MNF through adsorption and extraction techniques. Hand pressing, solvent, and supercritical CO2 extraction methods all showed promising results in oil recovery, with high oil quality obtained.
JOURNAL OF HAZARDOUS MATERIALS
(2021)
Article
Multidisciplinary Sciences
Patricia Verdugo Pascoal, Dagon Manoel Ribeiro, Carolina Ribeiro Cereijo, Hugo Santana, Rodrigo Carvalho Nascimento, Andrei Stecca Steindorf, Lorena C. G. Calsing, Eduardo Fernandes Formighieri, Bruno S. A. F. Brasil
Summary: The research demonstrates the potential of using microalgae to reduce pollutants in wastewater treatment in palm oil plants, with C. biconvexa Embrapa|LBA40 showing high biomass production in POME. The complete mitochondrial genome sequencing of the strain opens up opportunities for genetic modification and molecular breeding programs in the future.
Review
Chemistry, Physical
Wibawa Hendra Saputera, Aryan Fathoni Amri, Rahman Daiyan, Dwiwahju Sasongko
Summary: The palm oil industry produces liquid waste known as POME, which is difficult to handle due to its large production and ineffective treatment. Although policies and regulations have been established in Indonesia, many factories still fail to meet the POME waste disposal standard with the existing treatment technology. Developing alternative technologies to safely reduce POME waste is seen as a challenge, with efforts being made to explore options such as anaerobic processes, membrane technology, and advanced oxidation processes.
Article
Engineering, Chemical
Sajjad Khudhur Abbas Al-Amshawee, Mohd Yusri Bin Mohd Yunus, Joan G. Lynam
Summary: The study found that both 15 mg/L and 30 mg/L ozone doses effectively dissolved non-biodegradable solids, enhancing toxicity removal, but the 15 mg/L dose was less effective. A higher ozone dose demonstrated better treatment performance and water quality.
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2021)
Article
Engineering, Environmental
Jing S. Chan, Mary Low, Phaik E. Poh, Leslie Y. Yeo, Ming K. Tan
Summary: The large quantities of palm oil mill effluent (POME) create a significant pollution problem. In this study, we demonstrate that the introduction of plasma and MHz-order sound waves can greatly reduce the treatment time and improve the removal of pollutants in POME. Plasma exposure enhances oxygen dissolution and organic compound dissolution, while sound waves promote convective mass transfer and bacterial decomposition. Combining plasma pretreatment and sound wave irradiation can lead to a fivefold reduction in the total treatment duration, making this hybrid technology promising for industrial-scale treatment systems.
JOURNAL OF WATER PROCESS ENGINEERING
(2023)
Article
Agricultural Engineering
Kuan Yeow Show, Eric Kian Vui Lo, Wee Shen Wong, Ji Yuan Lee, Yuegen Yan, Duu Jong Lee
Summary: This study explores an integrated scheme for treating high strength palm oil mill effluent, using anaerobic and aerobic reactors to achieve a remarkable COD removal rate of 99.7%. Evaluation shows that this scheme can not only reduce emissions and generate energy effectively, but also create significant revenue.
BIORESOURCE TECHNOLOGY
(2021)
Article
Environmental Sciences
Chaisri Suksaroj, Kanokwan Jearat, Nutthayus Cherypiew, Cheerawit Rattanapan, Thunwadee Tachapattaworakul Suksaroj
Summary: This research investigates the production of biogas and the circular economy perspective in the palm oil industry through the codigestion of oil palm empty fruit bunch (EFB) pressing wastewater and palm oil mill effluent (POME). The optimal condition for fermentation was found to be 45% POME + 50% seed + 5% EFB wastewater. The study also reveals that the sludge produced from the digester complies with the organic compost standard and can be used to nourish the soil.
Review
Chemistry, Physical
Safa Senan Mahmod, Shalini Narayanan Arisht, Jamaliah Md Jahim, Mohd Sobri Takriff, Jian Ping Tan, Abdullah Amru Indera Luthfi, Peer Mohamed Abdul
Summary: This study thoroughly investigates the treatment of palm oil mill effluent (POME) through closed dark fermentation (DF) system. Various enhancement methods for increasing hydrogen yield and improving process stability are discussed. Different pre-treatment methods and their effects on POME characteristics are reviewed. The study also examines different bioreactor designs and modifications applied to improve stability and productivity. The importance of further research towards a more inclusive and efficient POME treatment for biohydrogen production is emphasized.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Review
Biology
Debbie Dominic, Siti Baidurah
Summary: The article summarizes the recent advances in biological processing technology for the treatment of palm oil mill effluent (POME). Biological treatments are preferred due to their eco-friendly attributes and feasibility. The effective processing technology for POME treatment is the upflow anaerobic sludge blanket reactor. The article emphasizes the importance of treating POME prior to discharge into the environment to protect human health and the environment.
Review
Environmental Sciences
Muhammad Syaamil Saad, Mohd Dzul Hakim Wirzal, Zulfan Adi Putra
Summary: As the number of palm oil mills in Malaysia continues to rise, conventional methods of treating palm oil mill effluent are becoming outdated and less cost-effective. Integrated systems combining multiple treatments are being introduced as a more efficient and environmentally friendly alternative.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Biotechnology & Applied Microbiology
Ilham Zulfahmi, Ravika Nila Kandi, Feizia Huslina, Lina Rahmawati, Muliari Muliari, Kizar Ahmed Sumon, Mohammad Mahmudur Rahman
Summary: The rapid expansion of the palm oil industry poses a potential threat to the terrestrial environment and aquatic ecosystems due to the discharge of high volumes of solid and liquid waste substances during oil processing. Phytoremediation using water spinach has shown potential in improving the quality of palm oil mill effluent (POME). Results indicate that water spinach is efficient in reducing COD, nitrate, phosphate, and color in POME up to 75%, with no negative impact on growth performance. However, high concentrations of POME can damage root structures and affect the growth of water spinach over time.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2021)
Article
Agricultural Engineering
Anisa Ratnasari, Achmad Syafiuddin, Raj Boopathy, Sana Malik, Muhammad Aamer Mehmood, Rizki Amalia, Dedy Dwi Prastyo, Nur Syamimi Zaidi
Summary: The palm oil mill effluent from palm milling oil activities is discharged into water bodies, requiring effective treatment to remove pollutants. Existing pretreatment methods have limitations, but the use of magnetic composite adsorbents can enhance treatment efficiency.
BIORESOURCE TECHNOLOGY
(2022)
Review
Environmental Sciences
R. Anu Alias Meena, J. Merrylin, J. Rajesh Banu, Shashi Kant Bhatia, Vinod Kumar, Grzegorz Piechota, Gopalakrishnan Kumar
Summary: The voluminous POME is a threat to the environment, but it can be converted into biorefinery products. The review discusses the risk assessment of POME and proposes using fish species, including invasive ones, for toxicants identification. Various treatments and technologies have been investigated, such as adsorption, anaerobic digestion, and microalgae cultivation, with emphasis on advanced bioreactors. The production of biodiesel from POME shows promise, despite economic challenges.
ENVIRONMENTAL POLLUTION
(2023)
Article
Environmental Sciences
Mohd Nasrullah, Sabah Ansar, Santhana Krishnan, Lakhveer Singh, Shaik Gouse Peera, A. W. Zularisam
Summary: In this study, the electrocoagulation parameters for treating palm oil mill effluent (POME) were optimized by applying high current intensity. The optimized operating parameters achieved high removal rates for COD, BOD, and SS.
Article
Computer Science, Artificial Intelligence
Jianfeng Cui, Lixin Wang, Xiangmin He, Victor Hugo C. De Albuquerque, Salman A. AlQahtani, Mohammad Mehedi Hassan
Summary: Feature extraction plays a crucial role in arrhythmia classification. This paper presents a feature extraction method that combines traditional approaches and 1D-CNN to improve the accuracy of arrhythmia classification. Experimental results show that the proposed method achieves an average classification accuracy of 98.35%, surpassing the latest methods.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Plant Sciences
Maria Batool, Ali Mahmoud El-Badri, Muhammad Umair Hassan, Yang Haiyun, Wang Chunyun, Yan Zhenkun, Kuai Jie, Bo Wang, Guangsheng Zhou
Summary: Drought poses serious threats to global crop production, including oilseed crops like Brassica napus L. Various approaches have been used to increase drought tolerance, but there is room for further improvement. Future research should focus on developing genetically engineered rapeseed plants with enhanced drought tolerance.
JOURNAL OF PLANT GROWTH REGULATION
(2023)
Article
Ophthalmology
Muhammad Hassan, Mohammad Ali Sadiq, Maria Soledad Ormaechea, Gunay Uludag, Muhammad Sohail Halim, Rubbia Afridi, Diana Do, Yasir Jamal Sepah, Quan Dong Nguyen
Summary: Intravenous tocilizumab showed efficacy in improving or maintaining stability in patients with non-infectious uveitis when assessed using a composite endpoint scoring system.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Computer Science, Hardware & Architecture
Md Golam Rabiul Alam, Abde Musavvir Khan, Myesha Farid Shejuty, Syed Ibna Zubayear, Md Nafis Shariar, Meteb Altaf, Mohammad Mehedi Hassan, Salman A. AlQahtani, Ahmed Alsanad
Summary: This paper proposes an automated Ejection Fraction estimation system from 2D echocardiography images using deep semantic segmentation neural networks. Two parallel pipelines of deep semantic segmentation neural network models have been proposed for efficient left ventricle segmentation, and three different neural networks, UNet, ResUNet, and Deep ResUNet, have been implemented. The most accurate model achieved high Dice scores for left ventricle segmentation in both systolic and diastolic states. The proposed system can remove the eyeball estimation practice and reduce inter-observer variability.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Information Systems
Muhammad Umair Hassan, Dongmei Niu, Mingxuan Zhang, Xiuyang Zhao
Summary: This research proposes a novel asymmetric learning-based generative adversarial network (AGAN) for image retrieval, integrating feature learning with hashing and introducing three loss functions that significantly improve retrieval performance.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Engineering, Civil
Kashif Naseer Qureshi, Gwanggil Jeon, Mohammad Mehedi Hassan, Md. Rafiul Hassan, Kuljeet Kaur
Summary: Intelligent Transportation Systems (ITS) have gained popularity due to their smart services, but the increasing number of users has raised concerns over data processing, storage, security, and privacy. To address these concerns, this paper proposes a Blockchain-based Privacy-Preserving Authentication (BPPAU) model that uses smart contracts, access control policies, and on-demand functions to manage data while maintaining user privacy. The model's performance is evaluated through simulation tests analyzing transaction cost, transaction per second, and computational time with various data sizes and block times.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Jia Hu, Kuljeet Kaur, Hui Lin, Xiaoding Wang, Mohammad Mehedi Hassan, Imran Razzak, Mohammad Hammoudeh
Summary: This paper proposes a Transfer Learning based Trajectory Anomaly Detection strategy, named TLTAD, for IoT-empowered Maritime Transportation Systems (IoT-MTS). Experimental results show that TLTAD can accurately detect anomalies in ships' trajectories and reduce model training time.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Peng Xu, Ke Wang, Mohammad Mehedi Hassan, Chien-Ming Chen, Weiguo Lin, Md Rafiul Hassan, Giancarlo Fortino
Summary: This paper employs a One-Shot Neural Architecture Search (NAS) to generate derivative models with different scales and studies the relationship between network sizes and model robustness. The experimental results show that reducing model parameters can increase model robustness under maximum adversarial attacks, while increasing model parameters can enhance model robustness under minimum adversarial attacks. This analysis helps to understand the adversarial robustness of models with different scales for edge AI transportation systems.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Biotechnology & Applied Microbiology
Tomonori Koga, Mitsuoki Ishizu, Kota Watanabe, Hirokuni Miyamoto, Mugihito Oshiro, Kenji Sakai, Yukihiro Tashiro
Summary: The effect of dilution rates (D) and its transition mode strategies on organic acid productivity and bacterial community structure in continuous meta-fermentation were investigated. Dilution rates and transition modes significantly influenced organic acid productivity and specific bacterial species.
JOURNAL OF BIOSCIENCE AND BIOENGINEERING
(2023)
Article
Microbiology
Mugihito Oshiro, Takeshi Zendo, Yukihiro Tashiro, Jiro Nakayama
Summary: This study tracked the dynamics of sourdough LAB-yeast communities during successive transfers and found that cyclic pairwise interactions between LAB species and yeast play a key role in sustaining the yeast population.
MICROBIOLOGY SPECTRUM
(2023)
Article
Biotechnology & Applied Microbiology
Siti S. Sharuddin, Norhayati Ramli, Mohd Z. M. Yusoff, Nor A. N. Muhammad, Li S. Ho, Toshinari Maeda
Summary: This study investigated the effects of palm oil mill effluent (POME) final discharge on bacterial composition, gene expression, and metabolite profiles in rivers. The results showed that genes regulating amino acid metabolism have potential as biomarkers for monitoring POME pollution in rivers.
JOURNAL OF APPLIED MICROBIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Kota Watanabe, Azusa Yamada, Shunichi Nakayama, Toshimori Kadokura, Kenji Sakai, Yukihiro Tashiro
Summary: The bacterial community structure on human skin varies among individuals, but not among different hair sampling sites. The distribution of bacterial communities on scalp hair shafts within individuals is relatively steady, even when the sampling site is different.
BIOSCIENCE BIOTECHNOLOGY AND BIOCHEMISTRY
(2023)
Article
Engineering, Civil
Prabhat Kumar, Govind P. Gupta, Rakesh Tripathi, Sahil Garg, Mohammad Mehedi Hassan
Summary: The recent growth of IoT technologies in the maritime industry has digitalized Maritime Transportation Systems (MTS), but also introduced cybersecurity threats. Cyber Threat Intelligence (CTI) is an effective security strategy, but existing solutions have low detection rates and high false alarm rates. To address these challenges, an automated framework called DLTIF has been proposed, which can accurately identify threat types.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Xiaoding Wang, Sahil Garg, Hui Lin, Georges Kaddoum, Jia Hu, Mohammad Mehedi Hassan
Summary: This paper proposes a hierarchical trust evaluation strategy based on heterogeneous blockchain, utilizing federated deep learning technology for Intelligent Transportation Systems (ITS) security.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Biotechnology & Applied Microbiology
Bin Xue, Muskan Chaddha, Abdelbaset Mohamed Elasbali, Zhixin Zhu, Deeba Shamim Jairajpuri, Fahad A. Alhumaydhi, Taj Mohammad, Waleed Al Abdulmonem, Sharaf E. Sharaf, Md. Imtaiyaz Hassan
Summary: This study used structure-guided virtual screening to identify phytochemicals that can regulate the elevated expression of DAPK3. Ketanserin and rotenone were found to form stable complexes with DAPK3, suggesting their potential as promising scaffolds in drug development and therapeutic innovation.
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
(2022)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)
