Digital Commons Network^™

Influence Of Rice Hull Biochar And Cedar Bark Media On Strawberry Productivity And Carbon Sequestration Potential In Hydroponic Systems, Sakalya Rajapakse, Munehiro Tanaka

Research outputs 2022 to 2026

This study evaluated the influence of rice hull biochar (RHB) and cedar bark media (CBM) as sustainable substrates for hydroponic strawberry cultivation. The total yield from virgin CBM was 413 g/plant and that from virgin RHB was 354 g/plant. Used CBM increased the yield by 4 % (429 g/plant) while used RHB increased yield by 18 % (419 g/plant) compared to the virgin, with no significant substrate differences. Fruit yields and physical properties were strongly correlated, particularly with particle density (R2 = 0.573). After 7 years of cultivation, plant residues had accumulated in both substrates. Uncarbonized carbohydrates in RHB indicated …

Invertivore Fish Predation Is An Overlooked Source Of Carbonate Sediment On A Turbid Coral Reef, Jake L. Nilsen, Nicola K. Browne, Kyle M. Morgan, Joshua L. Bonesso, Dylan Benson, Shannon Dee, Michael J. O’Leary, Lisa A. Kirkendale, Peter U. Middelfart, Michael V.W. Cuttler, Jennifer L. Mcilwain

Research outputs 2022 to 2026

The geomorphic stability of coral reef islands depends on a continued supply of biologically derived sediment from reefs. However, the ecological processes that produce detrital sediment remain poorly resolved. The role of fishes as sediment producers has largely focused on coral sand generated by parrotfishes (Labridae: Scarinae) in clear-water settings, while the contribution of other groups, such as durophagous invertivores, remains poorly understood. Here, we quantify the contribution of invertivores to carbonate sediments at an inshore reef in the Exmouth Gulf, Western Australia, by combining fish census data and dietary analysis, coupled with taphonomic and compositional analysis of benthic sediments. …

Indigenous Stewardship And Co-Management In Action: A Case Study On Blue Carbon From A Mangrove Ecosystem On The Great Barrier Reef, Micheli D.P. Costa, I. Noyan Yilmaz, Pawel Waryszak, Rory Crofts, Melissa Wartman, Pere Masqué, Brian Singleton, Gavin Singleton, Ashlyn Skeene, Lucy Friend, Peter I. Macreadie

Research outputs 2022 to 2026

Blue carbon ecosystems play a vital role in climate change mitigation and adaptation through their capacity to sequester and store organic carbon. Queensland, Australia, contains over 500,000 ha of mangroves, much of it under the stewardship of Traditional Custodians. The mangrove forests of the Bidakarra (Barron River) estuary provide a unique opportunity to demonstrate how Indigenous leadership, scientific research, and local industry partnerships can advance both ecological and cultural outcomes. We present a co-designed case study from Kukujum (Ellie Point), an area co-managed by Cairns Airport, Yirrganydji Gurabana Aboriginal Corporation, and the Yirrganydji Land and Sea Ranger Program through Dawul …

Limited Site-Specific Blue Carbon Recovery Following Tropical Seagrass Restoration In Thailand, Ratchanee Kaewsrikhaw, Milica Stankovic, Pere Masqué, Mathew A. Vanderklift, Tipamat Upanoi, Anchana Prathep

Research outputs 2022 to 2026

Seagrass restoration is gaining popularity as a nature-based method for climate change mitigation, owing to its effectiveness in capturing and storing organic carbon (Corg). However, demonstrating blue carbon additionality — defined as a measurable increase in carbon stocks directly attributable to restoration activities — remains challenging. This research assessed sedimentary Corg stocks and carbon accumulation rates in restored tropical seagrass meadows throughout Thailand. Despite successful restoration at multiple sites, sediment analysis showed little Corg accumulation, low Corg and organic matter content, with non-significant differences among restored seagrass areas, patchy natural meadows, and nearby bare sand areas. Limited sediment accumulation was …

Decline In Offspring Quantity But Not Quality From Successive Matings In Male Rainforest Drosophila, With No Evidence For Genetic Divergence In Male Mating Behaviour Along Elevational And Density Gradients, Andrew D. Saxon, Eleanor K. O'Brien, Natalie E. Jones, Jon Bridle

Research outputs 2022 to 2026

Fertilisation success is a major component of male fitness, meaning males should capitalise on all opportunities for mating. However, other sources of variation in fitness mean that males often evolve life histories that limit their ability to mate frequently. We quantified mating latency, mating duration, and offspring production in males of the tropical fly Drosophila birchii when presented with up to 4 females consecutively. Males were sourced from isofemale lines from the extremes of 2 elevational gradients (20–1100 m) that show substantial differences in population density, temperature, and humidity. Total offspring sired increased with number of matings achieved, demonstrating substantial …

Insights Into Site Fidelity Of A Low-Density Dugong Population Using Small-Drone Imagery And Photo-Identification, Roxana Newman, Ashwag Asseri, William David Paterson, Deni Porej, Harry Clark, Mishari Alghrair, Winston Cowie, David Charles Wells, Amanda Jane Hodgson

Research outputs 2022 to 2026

The feasibility of using unoccupied aerial vehicles (UAVs, ‘drones’) to collect high-resolution still and video imagery of dugongs (Dugong dugon) for photo-identification (photo-ID) in the Sindalah Archipelago, NEOM (area ~ 84 km²), within the northeast Red Sea, Saudi Arabia, was evaluated during opportunistic marine megafauna searches. Drone searches were conducted whenever possible over one year (January 2024 to January 2025). A total of 48 dugong observations were made during 91 days of drone flights, covering a cumulative distance of 5,962 km of flying. Of these, 35 (72.9%) were repeat sightings (range = 2 to 8 resights) of nine …

Increasing Body Size Unlocks Gelatinous Planktivory In A Key Coral Reef Fish Species, James Gahan, David R. Bellwood, Renato A. Morais, Leo Nankervis, Isabelle Ng, Alexandre C. Siqueira, Cecilia Villacorta-Rath, Sterling B. Tebbett

Research outputs 2022 to 2026

Coral reefs depend on the assimilation of off-reef nutrients, particularly from zooplankton, to fuel on-reef productivity. Planktivorous reef fishes thus play a critical role in sustaining a key ecosystem function as the major consumers of plankton. The importance of gelatinous zooplankton to the nutritional ecology of larger-bodied planktivorous fishes is becoming increasingly apparent. Yet, the extent to which feeding on gelatinous plankton within these taxa is a product of ontogeny has not yet been addressed. It has been hypothesised that Caesio cuning, a key planktivorous species that contributes substantially to reef fish biomass on Australia’s Great Barrier Reef, undergoes an …

Peptidomic Profiling Of In Vitro Digesta From Diverse Microalgae Species, Sara Hamzelou, Damien Belobrajdic, Henri Brook, Wei Chen, Fletcher Hiten, Kim Lee Chang, Diane Purcell, Utpal Bose, Simone Osborne, Cassandra Pegg, Michelle L. Colgrave

Research outputs 2022 to 2026

Microalgae are a sustainable protein source, yet few species are used for human nutrition. This study evaluated eight species for protein quality, digestibility, and peptide profiles after simulated gastrointestinal digestion using INFOGEST. Amino acid content, and intestinal-phase peptide mixtures were analysed by mass spectrometry. The methanol precipitation method was used to separate digested (supernatant) and undigested (pellet) peptides following in vitro INFOGEST digestion. The pellet was further separated by molecular weight into 3–10 kDa and >10 kDa fractions to isolate the lower molecular weight peptides from the higher ones. This separation method enabled the identification of potential digested peptides within …

Strengthening Ocean Literacy: Marine Science Education And Training To Ensure Australia's Blue Future, Prue Francis, Rachel Kelly, Louise Swanson, Tanveer M. Adyel, Benjamin Arthur, Kirsten Benkendorff, Melanie J. Bishop, Helen Bostock, Marnie L. Campbell, Emma Church, Corrine Condie, Vaibhavi Dwivedi, Michelle Dyer, Matthew England, Liam Fullbrook, Charlie Huveneers, Malcolm Johnson, Brianna Le Busque, Rebecca R. Mcintosh, Amelie Meyer, Benjamin Mos, Jana Mrazova, Allyson O'Brien, Gretta T. Pecl, Amandine Schaeffer, Rebecca J. Shellock, Grant A. Smith, Scott Smithers, Ana Vila-Concejo, Graham Wood

Research outputs 2022 to 2026

This white paper sets out a national vision for advancing ocean literacy in Australia and outlines the role of marine science in fostering an informed, engaged society capable of addressing the challenges and opportunities of our changing oceans. As environmental pressures intensify, and marine resource demands increase, Australians’ capacity to engage with ocean issues, understand risks and opportunities, and participate in marine decision-making has never been more urgent. Marine science will play a central role in building ocean literacy by delivering credible, actionable science, and strengthening education and training systems that enhance understanding of, and connection to, the ocean. Our …

Evaluating Novel Targeted Combination Therapies For Gastrointestinal Cancers, Joseph A. Goode

Graduate Studies Theses and Dissertations 2026

Gastrointestinal (GI) cancers remain among the leading causes of cancer-related mortality worldwide, with therapeutic resistance continuing to limit the effectiveness of current treatments. Three complementary studies were conducted to identify therapeutic vulnerabilities and evaluate novel combination strategies in pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC).  First, dual inhibition of fibroblast growth factor receptor 4 (FGFR4) and phosphoinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) signaling was investigated in PDAC models. A combination of targeted drug treatments reduced viability, clonogenic survival, migration, and suppressed signaling pathways involved in translational control. This supported a functional interaction between FGFR4 and PI3K-mTOR co-activation in …

Coordinated Whole-Body Dynamic Pressing And Reaction Inhibition — Impact Of High-Intensity Intermittent Exercise And Dehydration, Modesto A. Lebron

Graduate Studies Theses and Dissertations 2026

Dynamic whole-body pressing movements are an imperative aspect of various sport and occupational settings, requiring motor coordination to kinetically sequence from lower- to upper-extremities. Recently, exercises such as the jammer arm punch press (JPP) have increased in popularity, promoted as an exercise to improve strength and force transfer. While the JPP has observed increased practical utility, its use in research is limited potentially due to difficulties with quantifying exercise intensity. One method to quantify exercise intensity is the assessment of velocity, serving as the basis for velocity-based training. For optimization, this strategy requires an understanding of velocity ranges and their …

The Biosynthesis Of The Natural Product N-Nitroglycine, Gabriel Padilla

Graduate Studies Theses and Dissertations 2026

N-Nitroglycine (NNG) is a nitramine [R(R′)N–NO2; R′=H or alkyl] natural product (NP) produced by certain actinomycetes, such as Streptomyces noursei. At the beginning of this project, the biosynthesis of this NP was unknown. The goal was to determine how NNG and its nitramine moiety are enzymatically formed. This could lead to the discovery of novel nitramine NPs with diverse applications as well as alternative/green synthesis of nitramine explosives. This work begins by examining diverse biochemical N–N bond formation strategies. Nitrogen cycle enzymes, nitration of NPs, kutzneride biosynthesis, the aspartate/nitrosuccinate superfamily, hydrazinoacetic acid (HAA) biosynthesis, and streptozocin biosynthesis are among the …

Cell Type-Specific Fatty Acid Signalling And Its Sex Dependence, Emeline Masterson

Graduate Studies Theses and Dissertations 2026

Dietary fat is a highly palatable, energy-dense nutrient whose oral detection powerfully shapes ingestion patterns and metabolic outcomes. Despite clear behavioral and physiological evidence that fat can evoke distinct taste signals, the cellular and molecular mechanisms underlying its transduction remain poorly understood. A critical gap exists in our understanding of the cell-type-specific molecular pathways and how these signals are modulated by hormonal status. This dissertation delineates estrogen-dependent plasticity in FA transduction within the peripheral taste system, revealing coordinated, sex and cell-type-specific modulation of these pathways. To understand the missing mechanisms, FA-evoked responses were compared in Type II cells from wild-type …

35 Individuals With Huwe1-Related Neurodevelopmental Disorder And Suggested Clinical Evaluations, Mindy H. Li, Deziree L. Coleman, Kelsey Hogan, Danielle Luz, Lindsay Bhandari, Newell Belnap, Tiffany Busa, Charles Coutton, Klaus Dieterich, Svetlana Gorokhova, Clara Hildebrandt, Rachel Logan, Milena Mariani, Manuela Morleo, Vincenzo Nigro, John Pappas, Rachel Rabin, Kelly Schoch, Angelo Selicorni, Vandana Shashi, Rebecca Spillman, Jennifer Sullivan, Charlotte Tardy, Samantha A. Schrier Vergano, Brock Grill, Kristin Baranano

Department of Pediatrics Faculty Publications

HUWE1 (HECT, UBA, and WWE Domain Containing E3 Ubiquitin Protein Ligase1, OMIM 300697), located at Xp11.22, encodes a ubiquitin ligase that is highly conserved across species. Genetic variants in HUWE1 described in multiple independent studies cause X-linked intellectual disability, including in the patients identified by Juberg, Marsidi, and Brooks. This report describes 35 additional cases of individuals with variants in HUWE1 and suggested guidelines for clinical management. Our study includes several female cases, which have not been widely reported previously. Our findings confirm earlier reported clinical features including developmental delay, autism, hypotonia, short stature, and dysmorphic facial features as well …

Accuracy Of Voluntary Force Modulation During The Isometric Mid-Thigh Pull, S. Alexander Long, Olivia Vadas, Stephanie Balint, Michael H. Stone, Christopher Taber

Exercise Science Faculty Publications

The purpose of this study was to investigate voluntary force modulation accuracy during the isometric mid-thigh pull (IMTP) and to investigate biological sex and relative strength as factors relating to error. Strength-trained males (n = 18) and females (n = 18) completed ascending (ASC) (25%, 50%, 75%) or descending (DESC) (75%, 50%, 25%) submaximal testing followed by maximal testing. Subjects rested before completing the opposite submaximal testing sequence. External feedback was not provided during testing. Measured and intended (INT) forces were analyzed with two-way repeated-measures ANOVAs with within- (ASC, DESC, and INT) and between-subject factors (male or female). Independent-samples t-tests …

Harmonic Mitigation And Reactive Power Support Using Dpfc And Upfc In Grid‑Connected Solar Pv Systems: A Comparative Performance Evaluation, Abhishek Vashistha, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

Harmonic distortion, reactive power imbalance, and voltage instability represent major challenges regarding the power quality of grid-connected solar photovoltaic (PV) systems. Various recently developed flexible AC transmission system (FACTS) devices such as the unified power flow controller (UPFC) and distributed power flow controller (DPFC), however, have made them possible solutions but still do not provide a quantitative comparison in similar dynamic conditions. In this paper, comparative performance analysis of UPFC and DPFC in 3 MW grid connected solar PV system using Matlab Simulink is presented. The two controllers are affected by same disturbances, namely irradiance step change at t = …

Multi-Method Energy Optimization: Linear Programming, Hmm Modeling And Arduino-Based Simulations, A.E. El-Alfy, Eman Elayat, M. A. E. Sheta

Mansoura Engineering Journal

This paper presents the simulation and optimization of hybrid energy systems integrating renewable energy and storage technologies. Linear Programming (LP) is utilized to minimize operational costs, while a Hidden Markov Model (HMM) improves reliability by accurately predicting energy flow. Hardware-in-the-loop simulation in Proteus demonstrates efficient energy trading, significantly reducing dependence on conventional sources. The results from a 24-hour analysis show that the system achieves an 87.14% load factor, indicating high efficiency in utilizing the system's rated capacity, 26.23 system reliability, and a 20% improvement in cost efficiency and enhanced sustainability, providing a robust and practical framework for hybrid energy solutions …

Explainable Multi-Horizon Wind Power Forecasting Via Aquila-Optimized Machine Learning Models, Mostafa A. Abdelnaby, Nahla B. Abdel-Hamid, Eman M. El-Gendy, Mahmoud M. Saafan

Mansoura Engineering Journal

The inherently unpredictable nature of wind energy necessitates the development of sophisticated forecasting models to ensure grid stability and optimal distribution. In this research, we propose a novel and systematic approach to wind power forecasting (WPF) across diverse timescales. This approach leverages the power of various machine learning (ML) models, metaheuristic hyperparameter optimization, and utilizes explainable artificial intelligence (XAI). The developed methodology is based on the Aquila optimizer (AO), capable of automatically adjusting different ML models for four different time periods (30 minutes, 6 hours, 24 hours, and 36 hours) on the data collected from the Gabal El-Zayt wind power …

A Novel Superaug Adaptive Data Augmentation Strategy For Metabolic Syndrome Prediction: The First Egyptian National Cohort Study With Multi-National Comparison, Nihal Elsonny, Ashraf Elsharkawy, Abeer Tawakol, Amira Y. Haikal

Mansoura Engineering Journal

Metabolic Syndrome (MetS) is a multifactorial disorder associated with an increased risk of cardiovascular disease, type 2 diabetes, and obesity-related complications. Early and accurate prediction of MetS remains challenging due to heterogeneous data sources, class imbalance, limited sample sizes in regional studies, and poor generalization across populations.

This study introduces a comprehensive machine learning framework for predicting MetS and its prognostic factors using two heterogeneous datasets: a newly collected Egyptian clinical cohort and the U.S.-based (NHANES) [CDC, 2023] dataset. For each dataset, multiple experimental pipelines are developed, integrating preprocessing, feature selection, data augmentation, hyperparameter tuning, and ensemble modeling. …

Effect Of Two Cut Off Rows On Seepage Underneath Hy-Draulic Structures Using Weak Form Differential Quadra-Ture Element Method: A Theoretical Approach, Esraa Ahmed, El-Masry A. A, Hossam A.A. Abdel Gawad, Ahmed Elhamrawy

Mansoura Engineering Journal

Investigating confined seepage underneath hydraulic structures is crucial to ensure the safety of these structures. The Weak Form Quadrature Element Method (WFQEM) is the basis of this paper, which explores the behavior of confined flow. The seepage flow governing equation is solved numerically to estimate the uplift pressure underneath the hydraulic structures and the exit gradient.The Gauss–Lobatto–Legendre (GLL) type is used as nodal and integration points. Several models were solved to validate the applied numerical method. The obtained results are compared with theoretical and preceding numerical solutions mentioned in the literature. The system of equations generated from applying the WFQEM …

Warm Mix Asphalt: Key Issues, Performance Challenges, And Modeling Advances, Mahmoud Owais, Marwa Awad

Mansoura Engineering Journal

Warm Mix Asphalt (WMA) has emerged as a sustainable alternative to conventional Hot Mix Asphalt by enabling asphalt production and compaction at reduced temperatures, thereby lowering energy consumption, emissions, and worker exposure to heat and fumes. Despite these advantages, the field performance of WMA remains influenced by technology-specific mechanisms, additive–binder compatibility, aggregate characteristics, moisture susceptibility, compaction quality, recycled material content, and climatic conditions. This review provides a critical synthesis of major WMA technologies, including foamed systems, chemical additives, organic waxes, hybrid additives, bio-based modifiers, and WMA mixtures incorporating reclaimed asphalt pavement. Particular attention is given to how these technologies affect …

Reliability-Oriented Spatiotemporal Machine Learning For High-Impact Power Outage Event Prediction, Marwa Gamal

Mansoura Engineering Journal

Power outages have become an increasing concern for modern power systems due to their impact on infrastructure reliability, economic activities, and public safety. The growing frequency of extreme weather events and the rising demand for electricity have made it more difficult to anticipate high-impact outage events. One of the main challenges in this context is the complex interaction between temporal patterns and geographic variations, which traditional methods often fail to capture effectively. This study develops a machine learning framework that combines temporal characteristics with geographic information to improve the prediction of high-impact power outages. Temporal features such as seasonal patterns, …

Dielectric And Thermal Ageing Characteristics Of Al₂O₃ Nanofluid-Impregnated Cellulose For Power Transformer Applications, Shaymaa A. Qenawy, Basma Eltlhawy, Hussein M. Waly

Mansoura Engineering Journal

As nanotechnology progresses, nanofluids have emerged as promising candidates for transformer insulation due to their enhanced dielectric and thermal properties. This study evaluates the degradation behavior of a mineral oil-cellulose system compared to an alumina (Al₂O₃) nanofluid-cellulose system. Accelerated thermal ageing tests were conducted at 120°C for a 20-day duration, simulating approximately 20 years of field service. Key findings reveal that the nanofluid-impregnated paper exhibited superior mechanical longevity, characterized by a 3% reduction in the tensile strength deterioration rate relative to mineral oil samples. Initially, the AC breakdown voltage (BDV) of the nanofluid was 10.85% higher …

Preserving The Identity Of Historic Coptic Orthodox Monasteries In Egypt Under Contemporary Pressures: Case Studies Of St. Bishoy And St. Anthony Monasteries, George Medhat Adeeb, Mohamed Khairy Amin, Mohamed Ahmed Al-Sherbiny

Mansoura Engineering Journal

Historic Coptic Orthodox monasteries in Egypt (HCOMEs) represent an important component of Christian heritage, integrating architectural value with enduring spiritual traditions that reflect both tangible and intangible dimensions. However, contemporary development and changing functional demands are generating transformations that may affect their identity if not carefully managed. Despite extensive scholarship, limited research has systematically examined these transformations through a structured evaluative approach. This study addresses this gap by developing and applying an analytical and evaluation framework to examine how contemporary pressures influence the historical, architectural-spatial, and spiritual identity of HCOMEs, and to assess the effectiveness of monastic responses. The framework …

Control Of Steel Corrosion Using Natural Corrosion Inhibitor, Rasha A. Nasef, O. Hamed, M. M. El-Halwany, M. H. Mahmoud

Mansoura Engineering Journal

This study investigates corrosion control of AISI 430 stainless steel in 1M HCl medium using an eco-friendly inhibitor extracted from pomegranate peel (PPE). The inhibition efficiency was evaluated at different PPE concentrations, with the highest applied concentration of 13g/L. Corrosion behavior was evaluated through weight-loss measurements and potentiodynamic polarization techniques conducted at room temperature.

The experimental results showed that corrosion resistance improved as the inhibitor  concentration increased. Lower corrosion rates were observed in the presence of PPE, along with reduced anodic and cathodic activities, indicating that the extract functions as a mixed-type inhibitor. Surface analysis confirmed the formation of …

The Multiwalled Carbon Nanotube-Incorporated Cfrp Laminates Interlaminar Fracture Toughness, Nikhil Janardan Rathod, Markala Karthik, Harshvardhan P. Ghongade, Javed Sikandar Shaikh, Rahul Soma Deshmukh

Mansoura Engineering Journal

The structural integrity of carbon fibre reinforced polymers (CFRPs) suffers from damage caused by interlaminar cracking and delamination which diminishes their performance capabilities. This study provides an experimental analysis of the impact of carboxyl-functionalized multi-walled carbon nanotubes (MWCNTs) on the Mode I interlaminar fracture toughness of CFRP laminates. The researchers created composite specimens by using epoxy systems which included MWCNT loadings of 0.1 wt% 0.2 wt% and 0.3 wt% together with an unmodified control. The researchers conducted Double Cantilever Beam (DCB) testing according to ASTM standards to ascertain the rate of critical strain energy release (G_IC) of the material. The …

A Hybrid Geospatial And Remote Sensing Methodology For Drought Vulnerability Assessment In Semi-Arid Ecosystems, Kaifi Fakhir Chomani

Mansoura Engineering Journal

The Kurdistan Region of Iraq (KRI) faced significant drought challenges due to global and environmental changes, necessitating drought assessments. Advanced techniques of remote sensing, Geographic Information Systems (GIS), and Analytic Hierarchy Process (AHP) were combined in this research to perform drought vulnerability zonation for KRI. Average annual rainfall, Average number of rainy days, Average annual temperature, slope, elevation, normalised difference water index (NDWI), normalised difference vegetation index (NDVI), land surface temperature (LST), and temperature condition index (TCI) were selected as contributing parameters for drought vulnerability assessments. The considered parameters were weighted using pairwise comparison, and thematic maps were created to …

Optimal Design Of Concrete Canal Section For Minimizing Overall Costs Using Artificial Ecosystem Optimization, Aya M. Elkhouly, Hamdy A. El-Ghandour, Tharwat Sarhan, Mahmoud E. Abd-Elmaboud

Mansoura Engineering Journal

The optimal design of concrete-lined canals represents a critical challenge in hydraulic engineering, requiring simultaneous minimization of construction and operational costs while satisfying hydraulic performance constraints. This study presents a novel optimization framework that utilizes the Artificial Ecosystem-based Optimization (AEO) algorithm for determining optimal canal cross-sectional dimensions. The proposed methodology comprehensively considers excavation costs, lining expenses, and water losses due to seepage and evaporation while ensuring hydraulic efficiency through velocity and Froude number constraints. The AEO algorithm mimics natural ecosystem processes through production, consumption, and decomposition phases to efficiently explore the design space and converge to global optima. The framework …

Self-Lubricating Nano-Coatings For Tribological Applications: Materials, Mechanisms, And Ai-Driven Design Approaches, Viral Panara, Vikas Panchal, Satayu Travadi, Harmish Bhatt, Madhav Oza

Mansoura Engineering Journal

Self-lubricating coatings with nanostructured structures are becoming crucial in order to decrease friction and wear in critical tribological systems like precision tools, biomedical implants, aerospace actuators, and engines. In this review, the most representative nano-engineered solid lubricants such as transition metal dichalcogenides, diamond-like carbon, hexagonal boron nitride, graphene, MXenes and hybrid multilayer architectures are discussed. The focus of the discussion is on the most important tribological mechanisms like lamellar sliding, oxidative adaptation, tribofilm formation, transfer-film development, and nano-asperity contact evolution. It also summarizes the most significant deposition techniques, such as cathodic arc physical vapor deposition, chemical vapor deposition, plasma-based deposition, …

Data Collection Algorithm Based On Regression Analysis, Aiming To Minimize Data Processing Delays In 6g-Enabled Iot Networks, Archana Rajendra Mane, Sachin Vasant Chaudhari

Mansoura Engineering Journal

Researchers are currently investigating 6G wireless communication technologies because they can offer ultra-low latency, high data rates, and smarter network management than 5G. IoT services have spurred the development of cutting-edge technologies such as quantum communications, terahertz (THz), and artificial intelligence (AI), all of which are expected to be included into the subsequent generation of 6G networks. This paper presents a regression-based data collection algorithm for 6G-enabled IoT networks that dynamically prioritizes data through Random Forest regression. With a Mean Absolute Error (MAE) of 0.62 ms and a Root Mean Squared Error (RMSE) of 0.83 ms, the proposed method can …