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Open Access

Communication

23 October 2024

Modeling Viscosity in Starch-Polymer Suspensions: A Comparative Analysis of Swarm Algorithm-Aided ANN Optimization

The analysis of rheological properties of suspensions requires the use of models such as Einstein’s formulation for viscosity in dilute conditions, but its effectiveness diminishes in the context of concentrated suspensions. This study investigates the rheology of suspensions containing solid particles in aqueous media thickened with starch nanoparticles (SNP). The goal is to model the viscosity of these mixtures across a range of shear rates and varying amounts of SNP and SG hollow spheres (SGHP). Artificial neural networks (ANN) combined with swarm intelligence algorithms were used for viscosity modeling, utilizing 1104 data points. Key features include SNP proportion, SGHP content, log-transformed shear rate (LogSR), and log-transformed viscosity (LogViscosity) as an output. Three swarm algorithmsAntLion Optimizer (ALO), Particle Swarm Optimizer (PSO), and Dragonfly Algorithm (DA)were evaluated for optimizing ANN hyperparameters. The ALO algorithm proved most effective, demonstrating strong convergence, exploration, and exploitation. Comparative analysis of ANN models revealed the superior performance of ANN-ALO, with an R2 of 0.9861, mean absolute error (MAE) of 0.1013, root mean absolute error (RMSE) of 0.1356, and mean absolute percentage error (MAPE) of 3.198%. While all models showed high predictive accuracy, the ANN-PSO model had more limitations. These findings enhance understanding of starch suspension rheology, offering potential applications in materials science.

Keywords: Starch suspensions; Rheology modeling; Starch nanoparticles; Artificial Neural Networks; Swarm intelligence algorithms
Sustain. Polym. Energy
2024,
2
(3), 10009; 
Open Access

Article

18 October 2024

Multi-Objective Distributed Real-Time Trajectory Planning for Gliding Aircraft Cluster

A new combat strategy that enables coordinated operations of gliding aircraft clusters for multi-target strikes imposes higher demands on the coordination, real-time responsiveness, and strike accuracy of gliding aircraft clusters. Due to the high speed and large inertia characteristics of gliding aircraft, traditional trajectory planning methods often face challenges such as long computation times and difficulty in responding to dynamic environments in real-time when dealing with large-scale gliding aircraft clusters. This paper proposes a distributed cooperative trajectory planning method for multi-target strikes by gliding aircraft clusters to address this issue. By introducing a multi-objective distributed real-time trajectory planning approach based on Multi-Agent Deep Deterministic Policy Gradients (MADDPG), the gliding aircraft execute distributed cooperative trajectory planning based on the trained model. Due to its robust real-time performance, the gliding aircraft do not need to recalculate trajectories for different initial positions of the cluster. Simulation results show that the average error between the gliding aircraft cluster and the target point is 2.1 km, with a minimum error of 0.06 km and a hit rate of 96.6%, verifying the significant advantages of this method in real-time planning capability and strike accuracy.

Keywords: Gliding aircraft cluster; Trajectory planning; Multi agent-deep deterministic policy gradient; Distributed collaboration
Adv. Mat. Sustain. Manuf.
2024,
1
(2), 10008; 
Open Access

Article

15 October 2024

Binder Jetting 3D Printing Utilizing Waste Algae Powder: A Feasibility Study

This paper reports, for the first time in the literature, a preliminary study to investigate the feasibility of utilizing waste algae powder (byproducts of biofuel manufacturing from algae) in binder jetting 3D printing to produce environmentally friendly products. In this study, the algae powder’s morphology and particle size distribution were characterized using scanning electron microscopy and particle size analyzer, respectively, and the flowability was assessed through apparent density and repose angle. The algae powder successfully printed the cylindrical, cubic, and gyroid parts on a binder jetting 3D printer. Results show that it is feasible to print parts with binder jetting 3D printing utilizing waste algae powder. The use of waste algae powder in additive manufacturing offers a novel approach to upcycling waste algae powder into valuable products for various applications such as packaging and construction.

Keywords: Additive manufacturing; Binder jetting 3D printing; Gyroid sample; Sustainability; Waste algae powder
Intell. Sustain. Manuf.
2024,
1
(2), 10016; 
Open Access

Review

14 October 2024

Photocatalytic Antifouling Coating: From Fundamentals to Applications

With the rapid development of shipping industry, marine vessels frequently suffer from biofouling caused by marine organisms, making the effective prevention of marine biofouling a critical issue. Traditional antifouling coatings, which utilize toxic and harmful substances, pose significant risks to marine ecosystems. Therefore, the development of environmentally sustainable antifouling coatings has become imperative. Photocatalytic antifouling coatings, as an eco-friendly alternative, present a promising solution to these economic, energy, and ecological challenges. This review compares the environmental benefits of photocatalytic antifouling coatings to traditional ones, highlighting the underlying mechanisms of marine biofouling. Additionally, it explores the preparation techniques employed in photocatalytic antifoulant, analyzing the advantages, disadvantages, and potential modifications for photocatalytic coatings. Based on these insights, the future development of photocatalytic antifouling coatings is discussed, aiming to provide valuable references for the exploration of more efficient, broad-spectrum, energy-saving, environmentally friendly, and cost-effective marine antifouling technologies.

Keywords: Biological fouling; Antifouling coatings; Photocatalysis; Environmental benefits
Photocatal. Res. Potential
2024,
1
(4), 10008; 
Open Access

Article

11 October 2024

Surfactant Protein-C Regulates Alveolar Type 2 Epithelial Cell Lineages via the CD74 Receptor

Deficiency of surfactant protein-C (SPC) increases susceptibility to lung infections and injury, and suppressed expression of SPC has been associated with the severity of acute respiratory distress syndrome (ARDS). Alveolar type 2 epithelial cells (AT2) are critical for maintenance and repair of the lung. However, the role of the SPC in the regulation of AT2 cell lineage and the underlying mechanisms are not completely understood. This study aimed to investigate the mechanisms by which SPC regulates AT2 lineages. Sftpc−/− mice were used to model the SPC deficiency in ARDS patients. We utilized three-dimensional (3D) organoids to compare AT2 lineage characteristics between wild type (WT) and Sftpc−/− mice by analyzing AT2 proliferation, alveolar type 1 cells (AT1) differentiation and CD74 expression, using colony-formation assay, immunofluorescence, flow cytometry, and immunoblots. The results showed that Sftpc−/− mice demonstrated a reduced AT2 cell population. Influenza A virus subtype H1N1 (H1N1) infected Sftpc−/− mice demonstrated reduced AT2 proliferation and AT1 differentiation. Western blot indicated elevated levels of CD74 protein in AT2 cells of Sftpc−/− mice. Colony-forming efficiency was significantly attenuated in AT2 cells isolated from Sftpc−/− mice compared to the WT controls. Podoplanin (PDPN, a marker of AT1 cells) expression and transient cell count significantly increased in Sftpc−/− organoids. Moreover, siRNA-mediated gene silencing of CD74 in AT2 cells significantly increased AT2 proliferation and AT1 differentiation in Sftpc−/− organoids. This study suggests that SPC regulates AT2 lineage in vitro and in vivo. The SPC might influence AT2 lineage during the lung epithelium repair by activating signaling mechanism involving CD74 receptor.

Keywords: Alveolar type 2 cell; Surfactant protein-C; ARDS; Differentiation; Proliferation; Re-alveolarization
J. Respir. Biol. Transl. Med.
2024,
1
(4), 10017; 
Open Access

Perspective

10 October 2024

Conceptual Design of Aerostat-Based Autonomous Docking and Battery Swapping System for Extended Airborne Operation

In response to the ever-growing global demand for Unmanned Aerial Vehicles, efficient battery solutions have become vital. This paper proposes a design and concept of an Autonomous Mid Air Battery Swapping System for Vertical Take-Off and Landing Unmanned Aerial Vehicles. The proposed design integrates Aerial Mechatronics, Lighter than Air Systems, and Digital Modelling by leveraging the innovative concept of aerostats for battery swapping. This adaptive and effective technology paves the way for the next generation of autonomous Vertical Take-Off and Landing, ensuring a longer flight time and range. Modern-day technologies have empowered Unmanned Aerial Vehicles to operate autonomously and be remotely controlled, expanding their utility across diverse industries. The enhanced Vertical Take-Off and Landing capabilities include the ability to dock on an aerostat-mounted system, facilitating seamless battery swapping without human intervention and ensuring extended flight duration and operational flexibility. These advancements promise to broaden the applications of Unmanned Aerial Vehicles across various industries.

Keywords: Autonomous; Battery swapping; VTOL; Lighter than air systems; Aerial mechatronics
Drones Auton. Veh.
2024,
1
(4), 10013; 
Open Access

Review

09 October 2024

A Review of Multi-Domain Urban Energy Modelling Data

Urban energy models (UEMs) simulate energy use at the urban scale and are used to inform urban planning, policy development, infrastructure development, and digital twin monitoring and forecasting. Recent technological improvements have spurred interest in large, multi-domain UEMs, which analyse multiple interconnected parts of these energy systems, such as geography, transport, and buildings. Reviews have focussed on single domains or aspects of UEM data. However, multi-domain UEMs require detailed multi-domain data inputs to provide accurate results. This paper provides a comprehensive review of data requirements and a repository of data-specific information for researchers, including data formats, sources, acquisition methods, bridging methods, and challenges. The review was conducted using academic search engines and the authors’ direct research experience. Domains are characterised by Climate, Geographic, Building, Transportation, Demographics, Energy Networks and Consumption, and Distributed Energy Resources. Additionally, challenges common to multiple sectors are identified, and methods for addressing these are proposed. The paper concludes with a series of recommendations drawing from the general and sector-specific challenges. Overall, a large amount of data exists, but their use by urban energy modellers is limited due to lack of coordination and standardisation, and concerns over privacy and commercial interests. Coordinated public effort is required to overcome these limitations and improve the results of UEMs in the future.

Keywords: Urban energy model; Accessibility; Availability; Building energy model; Urban energy system; Data challenges
Clean Energy Sustain.
2024,
2
(4), 10016; 
Open Access

Communication

08 October 2024

Alterations of T Cell Subsets Associated with Sickle Cell Trait

Sickle cell trait (SCT) has been associated with alterations in various immune-related laboratory parameters including lower circulating lymphocyte counts. To further characterize the impact of SCT on the immune system, we performed flow cytometry of monocyte and lymphocyte immune cell subsets from peripheral blood mononuclear cells collected in a large, community-based cohort of SCT-positive (n = 68) and SCT-negative (n = 959) Black adults. SCT was significantly associated with lower proportions of CD8+ and CD4+ T cell subsets that include senescent-like markers of repeated immune system challenges. These immune alterations could have potential implications for the susceptibility of individuals with SCT to various infectious diseases.

Keywords: Sickle Cell; T Lymphocyte; Flow Cytometry; CD4; CD8
Open Access

Review

30 September 2024

The Jerusalem Megalithic Rock Calendar Is an Identical Representation to That Found in Lanzarote Island (Canary Islands, Spain)

We have recently found that a megalithic basaltic rock lunisolar calendar in Lanzarote, Canary Islands (“Quesera or Cheeseboard” of Zonzamas) has almost a twin monument in Jerusalem (Al Quds in Arab). These two unique monuments are on the West and East sides of the Sahara Desert and support the hypothesis of a common “Green” Saharan culture and a later migration of people towards the Atlantic, Mediterranean, Middle East and other areas when desiccation started after 10,000 years BC, thus spreading culture and genes. Traces of this culture can still be found in Iberian rock inscriptions on the Canary Islands and in the Sahara Desert, particularly at Tim-Missaou in Algeria.This is concordant with Usko-Mediterranean languages (Basque and Berber are related and also with Iberian and Etruscan), genetics and other common anthropological traits. In this paper, we analyse the Al Quds-Jerusalem megalithic monument as representing a solar calendar of Egyptian-type (365 days in 1 year) and show how it could be identical to the Lanzarote megalithic calendar (“Quesera or Cheeseboard” of Zonzamas). Both monuments,each crest/channel, are coincidental in each solar month assignment in both Lanzarote and Jerusalem rock calendars representation. Jerusalem’s megalithic calendar was built at least 900 years BC, when it fell out of use. Therefore, it can be assumed that the Lanzarote megalithic calendar was constructed around a similar time, meaning an undetermined period over 2800 years ago.

Keywords: Lanzarote; Canary Islands; Middle East; Al Quds; Jerusalem; Lunisolar Calendar; Sahara; Mediterranean; Zonzamas; Quesera; Megalithic; Iberian-Guanche
Open Access

Article

29 September 2024

Reactions and Phase Transformations at Sintering of Cubic Boron Nitride Based Materials

Superhard cubic boron nitride (cBN) cutting materials with different contents of cBN were investigated. The compositions of cBN-based materials included ceramic and metallic binders. The sintering of materials was performed by high-temperature hot pressing (HPHT) six-anvil apparatus at pressure 4.5 GPa and temperatures 1400–1450 °C. The process of compaction and processing of superhard cBN materials is followed by numerous chemical reactions. The chemical reactions are very important in compaction and sintering. The volume transformations during chemical reactions affect the shrinkage of the materials and may also impact the residual porosity of the finished products. The adhesion between the grains also depends on these chemical reactions. The research analyzed the volume transformations of various reactions during HPHT sintering of cBN materials, which may play a significant role in forming their structure and properties.

Keywords: Cubic boron nitride; Volume transformations; Reactions; Phase composition
High-Temp. Mat.
2024,
1
(1), 10006; 
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