Real-time monitoring of biomass concentration and cell population structure (cell’s geometry, cell’s concentration, ratio of cell morphotypes, ratio of producer/satellites cells) in methanotrophic consortia cultivated under non-sterile co...
Bruxism is an involuntary neuromuscular activity involving clenching and grinding of the teeth with a predominantly central etiology. Rather than preventing its onset, therapeutic strategies focus on managing its clinical consequences and relieving n...
A numerical analysis of laminar flow past two tandem circular cylinders (diameter, D) with a detached wake splitter plate was conducted at a Reynolds number of 160. Five inter-cylinder spacing ratios (L/D) were considered in the range 2 to 6, and at...
Hybrid architected materials synthesize material heterogeneity and tailored structure to potentially realize mechanical, thermal, transport, and multifunctional properties otherwise unavailable from single constituent approaches. Innovation is often...
Against the background of the “Dual Carbon” strategy, adopting energy-saving conductors is a vital measure to reduce transmission line losses and carbon emissions. In this paper, an AC resistance test platform is built to characterize the...
Civil unmanned aerial vehicles (UAVs) serve increasingly diverse applications, yet their technological structure, evolutionary pathways, and future trends remain difficult to characterize. This study analyzes global civil UAV invention patents from t...
Ocean waves are abundant but low-frequency (0.1–1 Hz) and irregular; electromagnetic generators (EMGs) deliver high current yet weaken at low velocity, whereas triboelectric nanogenerators (TENGs) sustain high voltage at microampere-level curre...
This work aimed to develop a computer-aided diagnostic system that utilizes radiomics and artificial intelligence (AI) to differentiate between spinal tuberculosis and spinal metastasis, which are difficult to distinguish due to their similar visual...
Ball mills are energy-intensive units whose performance depends strongly on internal charge dynamics, which are difficult to observe directly. This mini-review analyzes the six studies on instrumented balls identified in our literature search, which...
To address the complexity of the crankshaft structure in reciprocating air compressors and the high cost of prototype testing, a scaled-model design method for reproducing torsional natural-frequency characteristics is proposed based on dynamic simil...
We propose a post-hoc explanation layer for binary Quantum Logic Decision Tree classifiers constructed with QLDT+. The layer does not modify the fitted tree, the decision threshold, or the predicted label. It translates the class-labelled QLDT+ paths...
Driven by growing marine exploitation and maritime security demands, underwater detection systems impose stringent performance requirements for deep-sea early warning, seabed resource exploration and underwater infrastructure inspection. This review...
To improve the development and utilization efficiency of renewable energy, offshore wind–photovoltaic (PV) all direct current (DC) collection and transmission systems, featuring fewer energy-conversion stages and flexible control capability, ar...
Liquid-cooled mini-channel heat sinks can remove heat from compact electronic footprints, but comparisons among experiments, analytical correlations, and CFD can be distorted when external tubing/header losses are treated as channel losses or when on...
This exploratory case study examines the feasibility of integrating generative artificial intelligence (AI) into a low-cost Kundt’s tube activity in pre-service science teacher education. The proposed Do-It-With-AI framework comprises four phas...
A low-cost, automated surface tension analyzer was designed and developed based on the maximum bubble pressure method. The system measures the pressure required to form air bubbles through a capillary immersed in a liquid, allowing the surface tensio...
This study presents the design, construction, and evaluation of a modular chamber for the vegetative propagation of cuttings, capable of simultaneously accommodating three plant cuttings at equidistant positions within a compact volume of 40 cm &time...
The trend toward the decarbonization of the energy sector is changing the structure of generating capacity through the widespread introduction of renewable energy sources. Modern wind and solar power plants are integrated into electric power systems...
This paper introduces a systematic weighted multi-objective approach for selecting the switching frequency (fs) of a parabolic-carrier-based pulse-width-modulated (PC-PWM) inverter in a solar microgrid. The MATLAB (Version 23.2.0) /Simulink (Version...
Electrical discharge machining (EDM) of thermal barrier coatings (TBCs) on curved superalloy components faces substantial challenges. These challenges stem from the significant material property mismatch between ceramic coatings and metallic substrat...
The precise determination of the coefficient of friction is of fundamental importance in many engineering applications, especially in cases where different material pairs, surface-treated systems, polymers or coated surfaces come into contact with ea...
Freshwater scarcity remains a major challenge across many African regions, particularly in remote and arid areas where access to centralized water infrastructure and reliable energy resources is limited. In this context, humidification–dehumidi...
The Berry phase plays a central role in modern electronics and acts as a foundation for a wide range of phenomena, from the anomalous Hall effect to topological insulators and valleytronics. However, in conventional analytical treatments, its geometr...
High-altitude isolated power systems characterized by hybrid run-of-river hydropower and distributed solar photovoltaic installations face severe operational instability due to localized microclimatic volatility. Managing this instability is fundamen...
Liquid-nitrogen biobanks need temporary, spatially distributed temperature records, but conventional batteries and radios become unreliable far below their rated operating temperatures. We developed a finite-duration wireless logging system that sepa...
Patent Landscape Reviews (PLRs) are widely used to map technological activity, applicants, jurisdictions, patent families and innovation trends. However, many PLRs remain descriptive and provide limited methodological detail on search validation, dat...
To achieve low-carbon and economical operation of industrial parks, this paper proposes a two-level sequential optimization framework for the coordinated operation of multiple industrial parks incorporating an extended carbon emission flow (CEF) mode...
Fuel cell systems require high-efficiency DC–DC interfaces capable of regulating rapid voltage variations while respecting the operational constraints of proton-exchange membrane fuel cells (PEMFCs). The floating interleaved boost converter (FI...
Markerless human-motion assessment has become increasingly relevant in domains such as psychomotor learning, rehabilitation, sports training, and collaborative educational environments. While recent pose-estimation frameworks provide reliable skeleta...
Many forensic methods have been developed for uncovering authors of threatening letters to get rid of their anonymous nature. With the development of new tools for the digital creation of threatening letters, such methods became obsolete, yet new opt...
This article discusses the intelligent analysis of multisensory biogas data obtained from an experimental dataset generated by a Lab-on-Chip platform. The relevance of this work stems from the need for real-time monitoring of biogas quality and bioma...
Water treatment systems based on sodium–cation exchange are widely used at thermal power plants. However, their operation is associated with high consumption of water and sodium chloride during regeneration and the generation of highly minerali...
This study presents the concept design of a wireless-controlled powered transport chair for caregiver-assisted handling and short-duration seated movement in care facilities. No prototype has been fabricated and no structural, metrological, or human...
Accurate demand forecasting for perishable goods is complicated by demand censoring: when stockouts occur, observed sales understate true demand and bias both forecasts and replenishment decisions. We present a leakage-free, end-to-end pipeline of th...
This study focuses on accelerating adaptive beamforming in the Multicarrier Wireless Internet Local Loop (McWiLL) professional radio communication system using “Korona” ring smart antennas. The work investigates algorithms for calculating...
To address the challenges of structural deformation and limited load-bearing capacity in morphing wings, this paper proposes a novel rigid–flexible composite morphing wing based on a foldable membrane–skeleton structure with a high foldin...
To address the insufficient flexibility in power systems caused by renewable energy output uncertainty during extreme weather events, a coordinated source–network–load–storage (SNLS) dispatch method that combines a flexibility suppl...
This study presents the development and validation of an intelligent error compensator based on Long Short-Term Memory (LSTM) recurrent neural networks for dynamic weighing systems in copper concentrate belt conveyors. Conventional weighing systems f...
In short-duration power-support applications of energy storage stations, state of power (SOP) estimation should reflect the constant-power boundary over the target horizon, while constant-current extrapolation may misrepresent the current rise caused...
To address the challenges of integrating multi-source heterogeneous data, fragmented fault knowledge, and the limited capability of traditional rule engines in recognizing edge cases for ultra-high voltage (UHV) bushing fault diagnosis, this paper pr...
In the present work, graphene-modified zinc oxide (ZnO-rGO) and fluorine-doped tin oxide (FTO) thin films were successfully fabricated using a simple, low-cost pulsed spray pyrolysis technique. The structural, morphological, optical, electrical, and...
The rapid growth of artificial intelligence (AI) data centers introduces highly variable and mission-critical load profiles that challenge conventional power supply strategies. This paper proposes an islanded microgrid gas turbine generator (GTG) and...
Symbolic regression and symbolic classification generate explicit mathematical expressions that combine predictive modelling with direct model interpretability. However, symbolic learning based on genetic programming can be computationally expensive...
Rubber particles shed from aging seals in converter transformers can distort local electric fields and degrade insulation. As a critical but understudied impurity in converter transformers, the migration and accumulation mechanisms of rubber particle...
Online signature verification (OSV) remains challenging under few-shot enrollment and multi-posture conditions, where limited reference samples and writing variations increase intra-writer variability and degrade verification performance. Existing me...
This manuscript presents a patent-based engineering case study of a compact LiBr–H2O evaporator–absorber unit, tracing its progression from conceptual embodiment to laboratory validation through contextualized technology-readiness assessm...
This paper presents an attitude filter that encodes both orientation and uncertainty in a single four-dimensional vector, requiring no covariance propagation or normalization constraints. The filter state is the natural parameter of the von Mises&nda...
This article proposes an approach for acquiring HSQC (Heteronuclear Single Quantum Coherence) spectra using a high-resolution probehead originally designed for solutions. The method is suitable for studying organic substances with relatively low melt...
Achieving sustainable structural health monitoring remains a critical challenge for intelligent railway infrastructures, where distributed sensing networks require continuous power supply and long-term maintenance. Although low-frequency railway brid...
This paper presents a novel method for designing manufacturable porous infill structures using a Voronoi-based topology optimization framework. By integrating discrete Voronoi representations into density-based topology optimization in a differentiab...
