3,778 results match your criteria: "Universiti Teknologi Malaysia.[Affiliation]"

Enhancing fish sludge bioconversion kinetics for nutrient recovery in aquaponics using a modified biological aerated filter with a novel media of polyhedral hollow spheres.

J Environ Manage

December 2024

School of Environmental Science & Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; Yazhou Bay Institute of Deepsea Science and Technology, Shanghai Jiao Tong University, Hainan, 572025, China. Electronic address:

Nutrient recovery from aquaculture sludge is vital for promoting hydroponic plant growth and achieving near-zero solid waste discharge in aquaponic systems. Modified biological aerated filters (MBAFs) are promising because of the dual capabilities of aquaculture sludge collection and aerobic mineralization. However, the bioconversion kinetics, which is indirectly related to the packed media, need to be improved.

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The biosynthesis of nanomaterials is a vast and expanding field of study due to their applications in a variety of fields, particularly the pharmaceutical and biomedical fields. Various synthetic routes, including physical and chemical methods, have been developed in order to generate metal nanoparticles (NPs) with definite shapes and sizes. In this review, focused on the recent advancements in the green synthetic methods for the generation of silver, zinc and copper NPs with simple and eco-friendly approaches and the potential of the biosynthesized metal and metal oxide NPs as alternative and therapeutic agent for the treatment of inflammatory diseases.

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Internet of Things (IoT) is changing patient engagement in healthcare by shifting from traditional care models to a continuous, technology-driven approach using IoT-based Remote Monitoring Systems (IoT-RMS). This research seeks to redefine patient engagement by examining how Internet of Things (IoT) technologies can impact healthcare management and patient-provider interactions at different phases. Additionally, it presents the relationship between patient engagement stages and IoT-RMS, which promotes patients' active participation using technological health management tools.

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Malaria parasite detection in Red Blood Cells with rouleaux formation morphology using YOLOv9.

Tissue Cell

December 2024

Department of Electronics and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310 UTM, Malaysia.

Malaria is endemic in poverty-stricken regions of the world, and most diagnosis reveal comorbidity with other infectious diseases some of which manifest as a deformity of the structural arrangement of the Red Blood Cells (RBCs) during thin blood smear microscopy. This common occurring deformity is termed rouleaux formation, and it is the stacking together of RBCs like chains of coins. The presence of rouleaux formation indicates either a bacterial infection, connective tissue disease, chronic liver disease, multiple myeloma or diabetes among others, it is a highly common occurrence in malaria infected patients and according to the international council for standardization of hematology (ICSH), microscopists are mandated to report its presence.

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Epidemiological, molecular, and evolutionary characteristics of G1P[8] rotavirus in China on the eve of RotaTeq application.

Front Cell Infect Microbiol

December 2024

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases (NITFID), National Health Commission Key Laboratory for Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Introduction: This study, conducted in China prior to RotaTeq's launch, examined the epidemiological, molecular, and evolutionary features of the G1P[8] genotype RVA in children admitted with diarrhea, to aid in evaluating its efficacy and impact on G1P[8] RVA in China.

Methods: Data from the Chinese viral diarrhea surveillance network were collected from January 2016 to December 2018. RVA strains identified as the G1P[8] genotype were subjected to whole-genome sequencing.

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Tropical peatlands significantly influence local and global carbon and nitrogen cycles, yet they face growing pressure from anthropogenic activities. Land use changes, such as peatland forests conversion to oil palm plantations, affect the soil microbiome and greenhouse gas (GHG) emissions. However, the temporal dynamics of microbial community changes and their role as GHG indicators are not well understood.

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Comprehensive location privacy enhanced model.

iScience

December 2024

Department of Applied Computing and Artificial Intelligence, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor 81310, Malaysia.

With the increasing popularity of location-based services (LBSs), safeguarding location privacy has become critically important. Traditional methods often struggle to balance the intensity of privacy protection with service quality. To address this challenge, this research proposes the comprehensive location privacy enhanced model (CLPEM), which enhances personalized privacy protection by integrating dynamic weight allocation at the policy layer, incorporating a user feedback mechanism, and designing tailored privacy strategies for various scenarios.

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Leptospirosis is an acute bacterial febrile disease affecting humans and animals in many tropical and subtropical countries. This work presents an optimization of surface-enhanced Raman spectroscopy (SERS) substrates to probe vibrational spectroscopic detail from deoxyribonucleic acid (DNA). The pathogenic gene of LipL32 was used as a biomarker.

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Introduction: Skin is the first-line barrier defense against infection, irradiation, and toxins, but is prone to natural aging (intrinsic aging) and environmental factors (extrinsic aging). Hence, there is an increasing urgency to explore an effective treatment for aging skin. This study was focused on testing the potential of utilizing adipocyte stem cell derived exosomal as nanomedicine to regenerate the dermal layer and counteract signs of skin aging.

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Understanding spoken language is crucial for conversational agents, with intent detection and slot filling being the primary tasks in natural language understanding (NLU). Enhancing the NLU tasks can lead to an accurate and efficient virtual assistant thereby reducing the need for human intervention and expanding their applicability in other domains. Traditionally, these tasks have been addressed individually, but recent studies have highlighted their interconnection, suggesting better results when solved together.

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A novel deep neural network-based technique for network embedding.

PeerJ Comput Sci

November 2024

Department of Computer Engineering and Information, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia.

In this paper, the graph segmentation (GSeg) method has been proposed. This solution is a novel graph neural network framework for network embedding that leverages the inherent characteristics of nodes and the underlying local network topology. The key innovation of GSeg lies in its encoder-decoder architecture, which is specifically designed to preserve the network's structural properties.

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Carbon dioxide (CO) is responsible for increment of the Earth surface temperature and the subsequent environmental issues. In this regard, membrane contactor is one of the emerging technologies that can be applied for controlling CO emission. More specifically, the intrinsic structure of membrane plays an important role to govern the performance of CO absorption.

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A significant portion of the world's population relies on rice as a primary source of nutrition. In Malaysia, rice production began in the early 1960s, which led to the cultivation of the country's most significant food crop up till the present day. Research on various aspects of the price and production of rice has been done by various methods in the past.

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The underexplored halophilic genus Joostella within the Flavobacteriaceae family consists of only two species, both of which have received little attention for their potential biotechnological applications. In this study, we report the isolation and characterisation of a novel halophilic bacterium, strain CR20, using a genomic approach to investigate its biotechnological potential. Analysis of the 16S rRNA gene revealed that strain CR20 shares 97.

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Polyethylene terephthalate (PET) pollution is an emerging environmental hazard because of its recalcitrance to degradation. This study proposes an mutagenesis of LipKV1 from for improved lipase-PET interaction, using the PET-degrading cutinase (TfCut2) as the structural benchmark. Results revealed that lid deletion on LipKV1 (LipKV1_LE) facilitated the entry of PET into the active site.

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Nanocellulose, obtained from natural cellulose, has attracted considerable interest for its distinctive properties and wide-ranging potential applications. Studies suggest that nanocellulose improves the thermal, mechanical, and barrier properties of conventional cellulose. This review investigates the production, properties, approach, and application of nanocellulose from various sources in agriculture.

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Water footprint assessment at the ultra-supercritical (USC) coal power plant in Malaysia.

Environ Monit Assess

November 2024

Department of Engineering, School of Engineering and Technology, Sunway University, Bandar Sunway, 47500, Petaling Jaya, Malaysia.

The power generation sector consumes significant amounts of water. A comprehensive water footprint (WF) assessment helps identify and monitor the processes consuming high amounts of water. This research evaluates the water footprint (WF) of electricity generation at a USC coal power plant, integrating on-site data for enhanced reliability.

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A promising water treatment method involves using biomass-derived activated carbon (AC) to remove emerging pollutants from wastewater due to its adsorption capacity, cost-effectiveness, and sustainability. Notwithstanding, the existing literature lacks comprehensive studies that specifically focus on removing contaminants in water by comparing the effectiveness of adsorption and photocatalytic degradation methods. Additionally, there is not much emphasis on analyzing the combined processes of adsorption-photocatalytic degradation utilizing AC.

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Uptake of lead, cadmium and copper by heavy metal-resistant Pseudomonas aeruginosa strain DR7 isolated from soil.

World J Microbiol Biotechnol

November 2024

Department of Bioprocess Engineering, Faculty of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.

This study highlights the biosorption capacity for Cd (II), Cu (II) and Pb (II) by a locally isolated Pseudomonas aeruginosa DR7. At initial concentrations of 150 mg L and 240 min of contact time, P. aeruginosa DR7 showed a 62.

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Composition of carbohydrate, protein and lipid derived from microalgae using thermally pretreated solid waste.

J Sci Food Agric

November 2024

Centre of Research in Ionic Liquids (CORIL), Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia.

Microalgae are widely recognized for their capacity to generate value-added products in a variety of sectors, including the pharmaceutical and food industries, bioenergy industries and wastewater industries. The quality of a microalga is significantly influenced by its proliferation. Along with growth, the biochemical profile may also vary based on the nutrient that is supplemented.

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Lilium spp. polysaccharides (LSPs) are gaining significant attention for their diverse health benefits, including antioxidant, antitumor, and antibacterial properties. This paper critically analyzes a recent comprehensive review by Li et al.

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Article Synopsis
  • - This paper introduces a new framework for detecting Alzheimer's disease (AD) by analyzing EEG signals, utilizing a unique Lattice123 pattern inspired by the Shannon information entropy theorem for feature extraction.
  • - By generating directed graphs and using kernel functions, the model creates six feature vectors for each EEG signal, applying multilevel discrete wavelet transform (MDWT) to capture detailed features in both frequency and spatial domains.
  • - The model achieves over 98% classification accuracy and over 96% geometric mean, demonstrating its effectiveness in identifying subtle EEG signal changes related to AD, and is ready for validation with larger datasets.
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This study evaluates the potential impacts of climate change on Bangladesh by analyzing 19 bioclimatic indicators based on temperature and precipitation. Data from 18 bias-corrected CMIP6 global climate models (GCMs) were used, covering four Shared Socioeconomic Pathways (SSPs)-SSP126, SSP245, SSP370, and SSP585-across three future timeframes: near-term (2015-2044), mid-term (2045-2074), and long-term (2075-2100). Under the high-emission SSP585 scenario, average temperatures are projected to rise by up to 3.

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Electromagnetic pollution, or electromagnetic interference (EMI), is a phenomenon that has arisen due to the fast spread of electronic gadgets. To overcome EMI problem, polymer-based composites have sparked considerable attention among researchers owing to their superior qualities. Hence, this work utilizes magnetite-modified graphene (MMG) filler with polyvinylidene fluoride (PVDF) polymer to form polymer composites in various proportions ranging from 2 to 10 wt% to study the EM properties in the X-band.

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