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1684 articles for “capping”
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MAP: The Invisible Shield Protecting Our Product's Journey
Abstract: Modified Atmosphere Packaging (MAP) has established itself as one of the most reliable and widely adopted preservation technologies in the modern food industry, offering a practical means of extending shelf life while maintaining the sensory and nutritional integrity of food products throughout storage and distribution. The fundamental working principle revolves around deliberately altering the gaseous composition within sealed packages, primarily through the strategic use of carbon dioxide, nitrogen and oxygen …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 52–58 Read article
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Evaluation of the Formation, Concentration, and Mitigation of Heterocyclic Amines in Selected Nigerian Proteinaceous Delicacies
Abstract: This study characterised the kinetics and concentration profiles of six HCA congeners — 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), 2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), 2-Amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline (DiMeIQx), 2-Amino-3-methylimidazo[4,5-f]quinoline (IQ), 1-Methyl-9H-pyrido[3,4-b]indole (harman), and 9H-pyrido[3,4-b]indole (norharman) — in six Nigerian food preparations (grilling of popular delicacies — including suya, kilishi, asun, and smoked catfish (eja aro)) using validated liquid chromatography–tandem mass spectrometry (LC-MS/MS) under three cooking modalities (charcoal grilling, pan-frying, oven-roasting). The inhibitory potential of five natural marinade formulations — …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article
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Managed Pressure Drilling for Improved Well Control: A Cross-Case Comparative Study (2015–2025)
Abstract: Managed Pressure Drilling (MPD) has matured over the past decade from a specialist technique applied to challenging wells into a mainstream drilling capability spanning ultra-HPHT exploration, deepwater development, unconventional tight-gas multi-well campaigns, and naturally fractured sour-gas reservoirs. Despite this maturation, the operational question of which MPD variant should be applied to a given well has been addressed in the literature case-by-case rather than through structured comparative synthesis. This paper presents …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 07–12 Read article
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Fractional Calculus-Based Analysis of Magneto-Thermal Nanofluid Flow Over Stretching and Shrinking Surfaces
Abstract: This study presents a comprehensive investigation of magneto-thermal hybrid nanofluid flow over stretching and shrinking surfaces using a fractional calculus framework to capture the memory and hereditary characteristics of complex fluid transport phenomena. The proposed model incorporates the effects of magnetic field intensity, thermal radiation, viscous dissipation, Brownian motion, and thermophoretic diffusion on the velocity and temperature distributions within the boundary layer region. A fractional-order derivative formulation is employed to …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Design, Mathematical Modeling, and Dynamic Optimization of a Speed Breaker-Based Vehicular Kinetic Energy Harvester
Abstract: Decentralized energy harvesting methods are becoming more popular due to rapid urbanization and the rising need for sustainable infrastructure. The road-embedded vehicle kinetic energy harvester (VKEH) design, mathematical modelling, and experimental validation are presented in this work. This paper presents the structural engineering, continuum mathematical modeling, and experimental validation of an optimized road-embedded vehicular kinetic energy harvester (VKEH). The mechanism utilizes a spring- loaded, low-friction rack-and-pinion transmission coupled with a …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
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Interfacial Bonding Efficiency in Jute-Carbon Fiber Polyester Matrix Composites Evaluated Through Short Beam Shear and Interlaminar Fracture Toughness Testing
Abstract: The natural Fiber–synthetic Fiber hybrid composites are jute–carbon Fiber hybrid in polyester matrix which could be used in semi-structural applications of automotive, construction and marine industry as an eco-friendly and cost-effective alternative of conventional carbon Fiber reinforced polymer. But the hydrophilic nature of jute Fibers and the relatively inert surface of carbon Fiber's cause weak bonding at the interface of the polyester matrix, which causes premature delamination, poor interlaminar shear …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Marine Algal Fiber Reinforced Bio-Composites with Embedded Humidity Sensors for Coastal Smart Infrastructure
Abstract: The development of sustainable structural materials with integrated sensing capabilities has emerged as an effective strategy for improving the durability and resilience of coastal infrastructure exposed to aggressive marine environments. In this study, a multifunctional marine algal fiber reinforced bio-composite incorporating an embedded flexible humidity sensor was developed for real-time structural health monitoring applications. Marine macroalgae (Ulva lactuca) fibers were chemically functionalized using 3-aminopropyltriethoxysilane (APTES) to enhance fiber–matrix interfacial adhesion …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
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Passive Digital Phenotyping for Longitudinal Burnout and Occupational Mental Health Surveillance: A Transformer-Based Explainable Deep Learning Approach Using Smartphone Behavioral Streams
Abstract: Occupational burnout constitutes a pervasive yet chronically under-surveilled public health threat, its insidious temporal evolution rendering episodic self-report instruments structurally inadequate for early detection. This paper introduces BurnoutSense, a passive digital phenotyping framework that continuously harvests eight heterogeneous smartphone behavioral data streams encompassing application usage ecology, communication metadata, geospatial mobility, screen interaction dynamics, inferred sleep rhythmicity, keystroke kinematics, ambient noise exposure, and battery/charging cadence to construct individualized multivariate behavioral signatures …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 2, 2026 · pp. 44–53 Read article
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Semiring-Weighted Automata and Recursive Path Counting for Multi-State Reliability in Discrete Infrastructures
Abstract: Multi-state infrastructures such as communication backbones, microgrids, warehouse routing systems, and sensor-actuator pipelines evolve through discrete event sequences rather than through a single binary "working/failed" transition. This paper develops a semiring-weighted automata framework for reliability analysis in which state changes, repair actions, and degraded operating modes are represented by weighted transitions on a finite automaton. A path valuation is defined over an additively idempotent reliability semiring and extended to a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 30–36 Read article
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Analysis of the coffee market structure, conduct, and performance in the Gimbo District of the Kaffa Zone in Southwest Ethiopia
Abstract: Coffee is a vital export commodity for Ethiopia, contributing significantly to the country's GDP and rural livelihoods. In the Kaffa Zone, particularly in Gimbo District, coffee production serves as the primary source of income for smallholder farmers. Despite its economic importance, the coffee market in the study area faces several constraints, including low production capacity and inadequate market infrastructure. This study aimed to identify key actors in the coffee market …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 63–81 Read article
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Role of Clay Liners in Municipal Solid Waste Landfills: A Review
Abstract: Rapid population growth has significantly increased the generation of municipal solid waste (MSW) in urban and suburban regions. Disposal of MSW in landfills without proper liner systems may lead to leachate migration and subsequent contamination of groundwater and surrounding soils. The use of liner systems at the base of landfills is therefore essential to minimize leachate percolation and protect the environment. Geosynthetic clay liners (GCLs) and compacted clay liners (CCLs) …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 50–56 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Factors Affecting Coffee Market Supply of Smallholder Farm Household: The Case of Gimbo District Kaffa Zone, Southwest Ethiopia.
Abstract: Abstract This study analyzes the factors influencing the market supply of coffee in selected districts of Gimbo District, Kaffa Zone, and Southwest Ethiopia. Coffee is Ethiopia’s most significant export crop, contributing substantially to the country’s GDP and exhibiting broad genetic diversity. Despite the high production potential of the district, the marketing system remains predominantly conventional, forcing producers to sell through traditional transaction routes that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Investigation on bi-layer knitted fabric produced using recycled polyester and banana fiber for improved moisture and thermal comfort properties
Abstract: This research investigates thermal comfort characteristics of bi-layer knitted fabrics made of banana fibers and recycled polyester (rPET). The main aim is to maximize thermal comfort of textile products by taking advantage of the distinctive characteristics of these two varieties of eco-friendly materials. Recycled polyester and banana fibers were combined to make the bi-layer knitted materials, which is produced as separate inner and outer layers to maximize performance. The features …
Published in Journal of Polymer & Composites Read article
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Investigation on bi-layer knitted fabric produced using recycled polyester and banana fiber for improved moisture and thermal comfort properties
Abstract: This research investigates thermal comfort characteristics of bi-layer knitted fabrics made of banana fibers and recycled polyester (rPET). The main aim is to maximize thermal comfort of textile products by taking advantage of the distinctive characteristics of these two varieties of eco-friendly materials. Recycled polyester and banana fibers were combined to make the bi-layer knitted materials, which is produced as separate inner and outer layers to maximize performance. The features …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 19–24 Read article