Saved Queries

Spiking neural networks (SNNs) offer inherent advantages in processing temporal information. However, their network topologies are predominantly algorithm-generated, lacking constraints from biological brain connectivity, which limits their bio-plausibility. In our previous work, we constructed a spiking neural network (SNN) by incorporating the topological structure of functional brain networks derived from fMRI data of healthy subjects and proposed an fMRISNN model. This model was further employed as the reservoir layer of a liquid state machine (LSM) to build a speech recognition framework. In this framework, the Lyon ear model and the BSA were used to encode speech signals into spike sequences; however, this approach suffers from high computational cost and limited adaptability to temporal variations. To address these limitations, we propose an enhanced Mel-frequency cepstral coefficient (MFCC)-driven sparse spike encoding method. For the speech recognition task, we systematically compare the two preprocessing pipelines in terms of spike number, spike sparsity, encoding time, and downstream speech recognition performance. Experimental results show that the proposed method generates substantially fewer spikes, achieves markedly higher sparsity, and requires significantly less encoding time, while maintaining nearly the same recognition accuracy under the same LSM-based framework. These findings indicate that improved speech input representation can enhance the computational efficiency of SNN-based speech recognition without compromising recognition capability. In addition, the fMRISNN model significantly outperforms several baseline models with algorithmically generated topologies. Compared with mainstream models reported in the literature, although the deep convolutional neural network (CNN) still achieves higher absolute recognition accuracy, the fMRISNN exhibits clear advantages in terms of model parameter size and theoretical energy efficiency. Full article

(This article belongs to the Section Biological Optimisation and Management)

22 pages, 7514 KB

Open AccessArticle

Experimental Investigation of Photovoltaic Soiling from White Sands Dust in Alamogordo, New Mexico, USA

by German Rodriguez Ortiz, Malynda Cappelle, Jose A. Hernandez-Viezcas, Alejandro J. Metta-Magana and Thomas E. Gill

Atmosphere 2026, 17(5), 442; https://doi.org/10.3390/atmos17050442 (registering DOI) - 26 Apr 2026

Abstract

This study assessed photovoltaic (PV) soiling losses at Alamogordo, New Mexico, USA, located within the Chihuahuan Desert and near the White Sands gypsum dune field, a region with frequent dust events. Soiling material collected from PV module surfaces showed seasonal variations in mineral composition, with quartz being the main component during the fall season and calcite predominating during the spring. All samples collected during the following spring season contained large amounts of gypsum, indicating transport from White Sands, supported by HYSPLIT back-trajectories and surface wind data. Soiling materials collected from PV module surfaces generally had a mineral composition similar to that of the surrounding local soils. The mean particle size of collected soiling material samples ranged from 8 to 21 µm, with ~90% of particles being dust (<50 µm) and ~10% of the soiling particles being sand (>50 µm). Despite Alamogordo experiencing 22 dust events during this study, soiling-related power losses were relatively low, about 2% to 3%, much lower than reported for Global Dust Belt locations. The prevailing south-to-southwest winds and their gusts acted as a passive cleaning mechanism, as they were aligned with the front of the PV modules and likely resuspended particles off panel surfaces. Additionally, relatively low rainfall (about 2.2 mm per hour) was effective in restoring PV performance. These findings suggest that, due to the relatively low soiling losses observed, frequent cleaning may not be necessary at this location, resulting in potential savings in maintenance costs over the long-term operation of the PV system. Full article

(This article belongs to the Special Issue Land Surface Dynamic Mechanisms and Anthropogenic Facility Disasters Caused by Sand/Dust Processes)

►▼ Show Figures

Figure 1

21 pages, 2592 KB

Open AccessArticle

Direction-Specific Optimization of Mooring Line Construction Forms for a Stepped Floating Wind Turbine Foundation Based on a Mooring Dynamics Analysis

by Junfeng Wang, Yongkun Xu, Xinhang Ding, Qing Chang, Mengwei Wu and Yan Wang

Symmetry 2026, 18(5), 743; https://doi.org/10.3390/sym18050743 (registering DOI) - 26 Apr 2026

Abstract

Offshore wind energy is an important source of clean energy. Single-post platforms, due to their simple structure and strong stability, can adapt to deep water environments through buoyancy and ballast systems, have small motion responses, and have low construction and maintenance costs. They are suitable for offshore wind energy development in deep-sea areas and help expand the application of offshore wind power. This paper conducts a coupled response analysis of offshore wind turbine foundations and mooring systems, as well as an optimization study on the form and number of mooring lines. Under the premise of considering the safety and economy of floating wind turbines, the mooring lines have been optimally arranged. The study calculates frequency-domain responses, time-domain responses, and mooring line forces under the constraints of the original three-line mooring system. Based on this benchmark, the study further optimizes the mooring forms and numbers for the same platform, analyzing four, six, and eight single mooring lines, as well as three groups of single-line, double-line, and triple-line mooring configurations. Finally, using AQWA software (2024 R1), the responses and mooring line forces of different mooring configurations were calculated, and the preferred mooring arrangement for this stepped single-post platform was determined to be a three-group, three-line system (a total of nine mooring lines). The mooring line tension decreased substantially from the original 3.2 × 10⁶ N to 1.8 × 10⁶ N, while the dynamic response was reduced to one-sixth of its original level. Meanwhile, this study provides strong support for the utilization of offshore wind energy and the construction of offshore wind turbine platforms and mooring systems. Full article

(This article belongs to the Special Issue Symmetry in Advanced Marine Technologies: Energy Harvesting, Autonomous Systems, and Smart Ocean Exploration)

37 pages, 2261 KB

Open AccessArticle

A Hybrid Linear–Gaussian Process Framework with Adaptive Covariance Selection for Spatio-Temporal Wind Speed Forecasting

by Thinawanga Hangwani Tshisikhawe, Caston Sigauke, Timotheous Brian Darikwa and Saralees Nadarajah

Forecasting 2026, 8(3), 36; https://doi.org/10.3390/forecast8030036 (registering DOI) - 26 Apr 2026

Abstract

Accurate wind speed forecasting is essential for the efficient integration of wind energy into power systems, as it directly influences generation scheduling, grid stability, and energy market operations. Forecast errors can lead to significant economic losses, including increased balancing costs, inefficient dispatch of backup generation, and penalties in electricity markets. However, wind behaviour is highly complex due to the influence of synoptic weather systems, terrain variability, and turbulence, which makes accurate prediction particularly challenging. This paper proposes a hybrid modelling framework that combines a linear regression mean model with Gaussian process (GP) residual modelling to improve forecast accuracy. Monitoring stations were grouped based on geographic coordinates and elevation, with cluster validation using the Hopkins statistic and silhouette analysis. The results show that for high-elevation inland stations (cluster 2), GP residual modelling improves forecast accuracy by up to 16.3%. In contrast, for low-elevation coastal stations (cluster 1), the GP approach does not yield improvements, indicating that its effectiveness depends strongly on the underlying wind regime. Full article

19 pages, 1828 KB

Open AccessReview

Metabolic Control of Membrane Lipid Asymmetry in Cancer

by Kyung-Hee Kim and Byong Chul Yoo

Int. J. Mol. Sci. 2026, 27(9), 3846; https://doi.org/10.3390/ijms27093846 (registering DOI) - 26 Apr 2026

Abstract

The plasma membrane plays essential roles in cellular transport and signaling. One of its fundamental structural features is the asymmetric distribution of lipids between the inner and outer leaflets. This asymmetry is actively maintained by lipid transport systems, including flippases, floppases, and scramblases, and is critical for membrane integrity and signaling regulation. Accumulating evidence indicates that membrane lipid asymmetry is frequently altered in cancer cells, leading to the externalization of normally inner-leaflet phospholipids such as phosphatidylserine and phosphatidylethanolamine. These alterations can influence tumor signaling, immune interactions, and membrane-associated biological processes. Recent studies further suggest that metabolic reprogramming in cancer may play an important role in regulating membrane lipid asymmetry. Changes in cellular energy status, oxidative stress, calcium signaling, and lipid metabolism can modulate lipid transport systems and membrane organization. In addition, tumor metabolism generates diverse circulating metabolites, including lactate, lysophospholipids, and acylcarnitines, which may influence membrane properties and lipid redistribution. These observations raise the possibility that membrane lipid asymmetry functions as a metabolically responsive interface linking intracellular metabolic state to cell surface signaling and tumor–microenvironment interactions. In this review, we propose a conceptual framework in which cancer-associated metabolic reprogramming influences lipid transport systems and membrane organization, thereby reshaping phospholipid distribution across the plasma membrane. We discuss how metabolic perturbations—including changes in energy metabolism, redox balance, calcium signaling, and lipid remodeling—may regulate membrane lipid asymmetry and explore the implications of these processes for tumor signaling, immune interactions, and emerging membrane-targeted therapeutic strategies. Full article

(This article belongs to the Special Issue Tumor Markers and Tumor Microenvironment)

►▼ Show Figures

Figure 1

31 pages, 2372 KB

Open AccessArticle

Assessing the Potential for Intra-Day Load Redistribution in Water Intake Systems Under Different Electricity Tariff Models: A Comparative Case Study of Belarus and China

by Aliaksey A. Kapanski, Miaomiao Ye, Shipeng Chu and Nadezeya V. Hruntovich

Water 2026, 18(9), 1028; https://doi.org/10.3390/w18091028 (registering DOI) - 26 Apr 2026

Abstract

This article assesses the potential for intra-day redistribution of the electrical load of water intake systems under different electricity tariff models, using water supply systems in Belarus and China as case studies. It demonstrates how tariff policy influences the electrical load profile of a water intake system and quantitatively evaluates the economic effect of optimizing the operating modes of pumping equipment. The analysis is based on daily profiles of electric power and water supply. For the Belarusian water supply system, data for 2019 were considered, corresponding to the baseline operating mode without targeted load management, and data for 2023 were considered after the transition to dispatch-based control of well activation with account taken of tariff constraints (without automation tools). For the Chinese water intake system, hourly data for 2025 were used. The load redistribution potential was assessed on the basis of lagged correlation between power and water supply profiles. In addition, the F-index was applied as an aggregated diagnostic indicator intended for the comparative assessment of potential load transferability across technological stages, taking into account their share in total energy consumption. For the Chinese case, it was shown that the maximum correlation between water supply and electricity consumption across all technological stages is achieved near zero lag, which indicates a high adaptation of system operating modes to current demand; at the same time, the R values were 0.19 for reservoir intake, 0.86 for water treatment, and 0.51 for the pumping station. In the Belarusian case, for the first-lift stage, the maximum correlation is shifted by −6 h relative to zero lag, indicating a less rigid linkage of pump operation to current demand and a more inertial response of the system. A comparison of 2019 and 2023 for the Belarusian facility showed that targeted regulation of well activation and load redistribution across tariff zones reduced the total electricity cost by 1.58%, confirming the potential for further optimization of electricity consumption regimes. Full article

(This article belongs to the Special Issue Systemic Footprints of the Water-Energy-Carbon Nexus: From Life Cycle Assessment to Integrated Modeling)

23 pages, 5200 KB

Open AccessArticle

Projected Changes in Urban Impacts on Summer Mean Temperature and Precipitation over Eastern North America

by Jangsoo Kim and Seok-Geun Oh

Atmosphere 2026, 17(5), 441; https://doi.org/10.3390/atmos17050441 (registering DOI) - 26 Apr 2026

Abstract

Urban–climate interactions in a warming climate remain largely uncertain; therefore, it is crucial to realistically evaluate and project these feedbacks to establish effective adaptation strategies. This study investigates projected shifts in summertime urban–climate interactions over eastern North America by employing the GEM regional climate model coupled with the Town Energy Balance (TEB) scheme, driven by RCP4.5 and RCP8.5 scenarios for the 1981–2100 period. Evaluations for the current climate (1981–2010) demonstrate that the model simulates an urban-induced warming of 0.5–0.7 °C and a precipitation reduction of 0.2–0.4 mm/day with high fidelity. By the late 21st century (2071–2100), projections under the RCP8.5 scenario indicate a steady weakening of the summer mean Urban Heat Island (UHI) intensity by approximately 0.10 °C, with a more pronounced nighttime attenuation of 0.15 °C. Physically, this weakening is attributed to an enhanced urban-induced evaporative fraction, which limits solar radiation storage within the urban fabric during the day, thereby reducing the thermal energy available for post-sunset release. This UHI attenuation correlates strongly with localized increases in precipitation, particularly in coastal regions where urban-induced effects contribute 20–40% to the total precipitation rise. While this study intentionally utilizes static urban boundaries to isolate the specific sensitivities of current urban morphologies to global warming, these results emphasize that diverse climatological regions will undergo distinct urban–climate feedback changes, providing essential baseline data for resilient urban planning. Full article

(This article belongs to the Section Climatology)

26 pages, 1768 KB

Open AccessArticle

High-Accuracy Characterization of a Single Thin Film on a Substrate from One Transmittance Spectrum by an Advanced Envelope Method Addressing Voids, Tail Electron Transitions, and Deep-Level Electron Transitions in a-Si Films

by Dorian Minkov, George Angelov, Dimitar Nikolov, Rostislav Rusev, Manuel Ballester, Susana Fernandez and Emilio Marquez

Nanomaterials 2026, 16(9), 522; https://doi.org/10.3390/nano16090522 (registering DOI) - 26 Apr 2026

Abstract

In most amorphous materials, the concentration of Urbach tail states is larger than the concentration of dangling bond states. However, absorption accounting for the Urbach tail while disregarding the dangling bonds is commonly used or derived by spectroscopic characterizations of amorphous films from a single spectrum, mostly due to the insufficient accuracy of such characterizations. This paper proposes an advanced envelope method (AEM) for transmittance spectrum T(λ), aiming to resolve this problem. The novelties in AEM are: improved preprocessing of T(λ), extending the envelopes deeper into the region of strong absorption (RSA), enhanced determination of the refractive index n(λ) in the region of weak absorption, optimization of both n(λ) and the extinction coefficient k(λ) in RSA, as well as analysis of the types of electron transitions and calculation of their energy gaps. Three single magnetron sputtered a-Si films deposited on glass substrates are characterized by AEM, and three other relevant methods that disregard deep-levels. The best accuracy is achieved when these films are characterized by AEM. It is demonstrated that the absorption coefficient α(λ) of each of these films distinguishes electron transitions via dangling bond states from those via tails states, and the DOS corresponds to the Mott–Davis model of amorphous materials. Full article

(This article belongs to the Section Theory and Simulation of Nanostructures)

►▼ Show Figures

Figure 1

24 pages, 8716 KB

Open AccessArticle

Effectiveness of Load Reset Control in Simultaneous Heating and Cooling Systems Under WELL Thermal Comfort Criteria

by Dae Uk Shin and Nam-Kyu Park

Sustainability 2026, 18(9), 4290; https://doi.org/10.3390/su18094290 (registering DOI) - 26 Apr 2026

Abstract

The WELL Building Standard (WELL) is a certification system designed to enhance occupant health and well-being in indoor environments. Conventional building energy-saving strategies typically rely on fixed temperature setpoint adjustments, which may conflict with WELL thermal comfort requirements. However, achieving high energy efficiency remains essential. This study uses a quantitative evaluation framework with TRNSYSs to examine the effectiveness of integrating load reset control (LRC) into simultaneous heating and cooling (SHC) systems. It compares LRC with conventional fixed setpoint (SP) and predicted mean vote (PMV) control strategies, based on WELL’s thermal comfort criteria (maintaining the PMV between −0.5 and +0.5). Six simulation cases were analyzed, considering radiant (RAD) and convection (CONV) terminals. The results indicate that radiant terminals provide more stable PMV performance while consuming less energy than convection terminals, demonstrating better compliance with WELL objectives. Although PMV control achieves the highest thermal comfort, it substantially increases energy consumption. In contrast, LRC emerges as an optimal strategy, effectively balancing the energy efficiency of SP control with the comfort of PMV control. The RAD-LRC configuration delivers the best overall performance. It achieves higher thermal comfort than SP, with comparable energy consumption, making it a highly practical approach for modern building energy management. Full article

(This article belongs to the Special Issue Human-Centric Buildings and Communities: Prioritising Comfort, Health, Well-being and Energy Efficiency)

►▼ Show Figures

Figure 1

37 pages, 529 KB

Open AccessReview

Hydrogen in Transport: A Comprehensive Review of Technologies, Infrastructure, and Future Prospects

by Remigiusz Jasiński, Dariusz Michalak, Aleksander Ludwiczak, Andrzej Ziółkowski and Robert Wysibirski

Energies 2026, 19(9), 2089; https://doi.org/10.3390/en19092089 (registering DOI) - 26 Apr 2026

Abstract

The article provides a comprehensive overview of the role of hydrogen as a key vector in the decarbonization of the global transport sector. The study situates hydrogen within the broader context of energy transition and climate neutrality targets, emphasizing its potential to replace fossil fuels in road, rail, maritime, and aviation applications. The analysis integrates a review of current technological, infrastructural, and policy developments, covering both combustion-based and fuel-cell hydrogen propulsion systems. Quantitative and qualitative data were assessed from international reports, scientific publications, and ongoing industrial projects to evaluate performance, efficiency, safety, and cost parameters such as Levelized Cost of Hydrogen (LCOH) and Total Cost of Ownership (TCO). The results indicate that while hydrogen remains economically challenging, technological progress in electrolysis, fuel cells, and refueling infrastructure significantly improves its competitiveness, particularly in heavy-duty and long-range transport. The paper highlights the critical role of international strategies, including the European Hydrogen Strategy and Fit for 55 package, in driving market adoption and regulatory alignment. The conclusions suggest that by 2050, hydrogen could contribute up to one-quarter of total transport energy demand, positioning it as a cornerstone of sustainable mobility and a bridge toward a fully decarbonized transport ecosystem. Full article

(This article belongs to the Special Issue Energy Consumption and Environmental Impact of Means of Transport with Conventional and Alternative Powertrains)

26 pages, 8393 KB

Open AccessArticle

Evaluation of a Land Surface–Glacier Coupled Model over the Three-River Headwaters Region in the Qinghai–Tibet Plateau

by Shuwen Li and Xing Yuan

Water 2026, 18(9), 1030; https://doi.org/10.3390/w18091030 (registering DOI) - 26 Apr 2026

Abstract

Quantifying glacier contributions to river discharge is challenging because many land surface models (LSMs) lack glacier processes, whereas standalone glacier models are often disconnected from catchment hydrology. Here we develop the Conjunctive Surface–Subsurface Process model version 2-glacier coupled model (CSSPv2-GLC), and evaluate it over the Three-River Headwaters Region (TRHR) at 3 km during 1979–2017. The glacier coupling raises Nash–Sutcliffe Efficiency for monthly streamflow simulation at Tuotuohe station from 0.63 to 0.79 during calibration and from 0.61 to 0.76 during validation. CSSPv2-GLC reduces glacier surface temperature error to 1.85 K, compared with 3.09 K for the CSSPv2. Glacier meltwater contributions to total discharge reached 11.5% in July and 10.8% in August in the Yangtze headwaters. In contrast, the Lancang and Yellow headwaters contributed up to 4.5% and 1.8% in August. Dry-year contributions are 2–3 times higher than wet-year values, indicating a transient drought-buffering effect. These results demonstrate the value of integrating physically explicit glacier processes into land surface modeling frameworks for water resource assessment in glacierized headwater regions, and highlight the necessity of accounting for non-stationary glacier contributions to streamflow. Full article

(This article belongs to the Section Hydrology)

►▼ Show Figures

Figure 1

27 pages, 3983 KB

Open AccessArticle

Low-Latency DDoS Detection for IIoT and SCADA Networks Using Proximal Policy Optimisation and Deep Reinforcement Learning

by Mikiyas Alemayehu, Mohamed Chahine Ghanem, Hamza Kheddar, Dipo Dunsin, Chaker Abdelaziz Kerrache and Geetanjali Rathee

Information 2026, 17(5), 412; https://doi.org/10.3390/info17050412 (registering DOI) - 26 Apr 2026

Abstract

Industrial Internet of Things (IIoT) and SCADA-connected networks are increasingly vulnerable to Distributed Denial of Service (DDoS) attacks, which can disrupt time-sensitive industrial processes and compromise operational continuity. Effective mitigation requires accurate and low-latency attack detection at the network edge, where industrial gateways operate under strict constraints in computation, memory, and energy. This study investigates Deep Reinforcement Learning (DRL) for real-time binary DDoS detection and proposes a detector based on Proximal Policy Optimisation (PPO) for deployment in resource-constrained IIoT environments. Four DRL agents, namely Deep Q-Network (DQN), Double DQN, Dueling DQN, and PPO, are trained and evaluated within a unified experimental pipeline incorporating automatic label mapping, numerical feature selection, robust scaling, and class balancing. Experiments are conducted on three representative benchmark datasets: CIC-DDoS2019, Edge-IIoTset, and CICIoT23. Performance is assessed using accuracy, precision, recall, F1-score, false positive rate, false negative rate, and CPU inference latency. The reward function is asymmetric: +1 for correct classification, −1 for false positive, and −2 for false negative, penalising missed attacks more heavily for IIoT safety. The results show that PPO provides a competitive accuracy–latency tradeoff across all three datasets, achieving the highest mean accuracy of 97.65% and ranking first on CIC-DDoS2019 with a score of 95.92%, while remaining competitive on Edge-IIoTset (99.11%) and CICIoT23 (97.92%). PPO also converges faster than the value-based baselines. Inference latency is below 0.8 ms per sample on a standard CPU (Intel i7-11800H), confirming real-time feasibility. To support practical deployment, the trained PPO policies are exported to ONNX format (≈9 KB per model), enabling lightweight and PyTorch-independent inference on industrial edge gateways. Full article

(This article belongs to the Special Issue Reinforcement Learning for Cyber Security: Methods and Applications)

22 pages, 5736 KB

Open AccessReview

A Comparative Review of Biological, Electrochemical, and Membrane-Based Methods for Direct Ocean Carbon Capture

by Zhe Wang, Jiayu Zheng, Siyuan Guo, Ting Zhang, Zhen Wang, Hang Cao, Gang Kevin Li, Shupeng Li and Yi Yang

Materials 2026, 19(9), 1763; https://doi.org/10.3390/ma19091763 (registering DOI) - 26 Apr 2026

Abstract

Direct ocean carbon capture (DOC) has emerged as a promising strategy for mitigating atmospheric CO₂ levels and addressing ocean acidification. Unlike direct air carbon capture methods, DOC leverages the ocean’s vast carbon storage capacity, offering a scalable and efficient route for carbon dioxide removal. This systematic comparative review categorizes existing DOC methods into three types: (1) biological carbon capture, which relies on photosynthesis by microalgae and marine microorganisms; (2) electrochemical carbon capture, which utilizes water electrolysis to generate H⁺ and OH⁻ ions for pH-driven CO₂ removal; and (3) physical carbon capture, which employs hollow fiber membranes to directly separate CO₂ from seawater. For each technology, we evaluate efficiency, energy consumption, cost, technology readiness level (TRL), scalability, and major challenges. By integrating recent pilot data and providing a critical assessment, this review offers a roadmap for future research in direct seawater CO₂ capture. The comparative analysis reveals that electrochemical methods achieve the highest efficiency (60–85%) but face membrane fouling and electrode degradation challenges, while biological methods offer low-energy operation but suffer from slow kinetics and high harvesting costs, and membrane-based methods provide high removal rates (up to 94%) but require improved fouling resistance. Full article

(This article belongs to the Special Issue Bio-Promotive Materials for Environmental Restoration and Carbon Sequestration in Marine Environments)

►▼ Show Figures

Graphical abstract

25 pages, 3173 KB

Open AccessArticle

5G Network Deployments: A Greener Connectivity Paradigm for Industry

by Ahren Hart, Hamish Sturley, Paul Mclean, Pablo Salva-Garcia and Muhammad Zeeshan Shakir

Telecom 2026, 7(3), 48; https://doi.org/10.3390/telecom7030048 (registering DOI) - 26 Apr 2026

Abstract

The UK telecommunications sector’s 5G rollout is projected to consume 2.1% of national electricity by 2030, raising urgent sustainability concerns. This study empirically investigates, under controlled laboratory conditions, the energy performance and cost characteristics of two private 5G architectures—Vodafone’s Mobile Private Network (MPN) and an Open Radio Access Network (O-RAN) via BubbleRAN—and contextualises them against public network references and the United Nations Sustainable Development Goals (SDGs). Two complementary dimensions of energy performance are assessed: absolute power consumption (Watts), reflecting total system draw regardless of throughput; and throughput efficiency (Mbps/W), capturing useful data delivered per unit of energy. In terms of absolute power, O-RAN consumes less (460 W active, 378 W idle) than MPN (645 W active, 620 W idle). In terms of throughput efficiency, MPN delivers 1.45 Mbps/W versus O-RAN’s 0.44 Mbps/W under these specific controlled, single-cell conditions, a difference that reflects the tested hardware configurations (n77 vs. n78 band; 936 Mbps vs. 202 Mbps throughput; 2 × 2 vs. 4 × 4 MIMO) as much as any intrinsic architectural distinction. Both architectures offer substantially lower annual energy costs (£1060–£1486) compared to public micro-cells (£1991–£2666), representing 44–60% savings. Session continuity was 100% across all controlled trials; this reflects short-term laboratory conditions and should not be extrapolated to a long-term network availability guarantee without extended field validation. These results are configuration-specific preliminary indicators; the relative efficiency advantage of each architecture is expected to vary with load, band, and deployment scale. By 2030, UK 5G network operations are projected to generate 795,347–1,260,532 tonnes of CO₂ annually across low-to-high demand scenarios; private deployment, by reducing site proliferation 15–33%, could displace a meaningful share of this footprint. These findings support SDGs 4, 8, 9, 12, and 13. Hybrid O-RAN–MPN pilots are recommended to maximise sustainability gains while advancing social equity and net-zero targets. Full article

►▼ Show Figures

Figure 1

19 pages, 1963 KB

Open AccessFeature PaperArticle

Influence of Rheological Behavior on Oxygen Transfer and Energetic Efficiency in Pestalotiopsis microspora Cultures

by María Guadalupe Pérez-Loredo, Luis Alberto López-Juárez, Carlos Eduardo Gómez-Sánchez, Claudia Guerero-Barajas, Juan S. Aranda-Barradas and Alberto Ordaz

Processes 2026, 14(9), 1385; https://doi.org/10.3390/pr14091385 (registering DOI) - 26 Apr 2026

Abstract

High-value metabolites, such as antibiotics and enzymes, are primarily produced using filamentous fungi. However, their morphological complexity increases broth viscosity during biomass growth, hindering industrial scale-up by impairing both power input and mass transfer. The interaction between biomass growth, rheology, power input, and oxygen transfer is first addressed here by evaluating mycelial rheology and determining the volumetric mass transfer coefficient (k_La) (dynamic method) and oxygen uptake rate (respirometry) across different operating conditions. These confirmed that the mycelial broth’s pseudoplastic behavior significantly influences volumetric power input and k_La correlations. However, specific power input analysis revealed that operating at higher stirring rates (800 rpm) at higher cell-density cultures is 28.17% more energetically efficient than at low speeds (500 rpm). Furthermore, the oxygen supply-to-demand ratio, calculated via Excel model-fitting, allowed for the estimation of “metabolic power input” which represents the required energy to fit oxygen demand. Results also reveal that at 3.67 ± 0.34 g L⁻¹ of biomass effectively channel up to 51% of total energy toward aerobic metabolism, compared to only 17–30% for 0.73 ± 0.01 g L⁻¹ of biomass. These findings show that volumetric power inputs around 4 kW m⁻³ improve oxygen transfer efficiency, even at relatively high biomass concentrations. Full article

(This article belongs to the Special Issue Novel Concepts for Future Biotechnology and Bioprocesses: Plants and Microorganisms for Sustainable Industries)

►▼ Show Figures

Figure 1

Show export options Show export options

Select all

Export citation of selected articles as:

Error

Oops... you haven't selected anything for export.

Displaying article 1-50 on page 1 of 2000.

Go to page 1 2 3 4 5

Search Results (235,711)

Further Information

Guidelines

MDPI Initiatives

Follow MDPI