Engineering Reports

The dynamics of the monkeypox disease in the population.

This study optimizes tensile strength in PLA–Terminalia chebula composites made via FDM, analyzing effects of strain rate, print orientation, and infill. Maximum strength (45.67 MPa) was achieved at 0° orientation, 90% infill, and 3 mm/min strain rate.

Ranked set sampling (RSS) is an efficient sampling method when ranking observations is easier than precise measurement. Unlike simple random sampling, RSS can reduce costs. The unit Xgamma distribution, defined over the interval (0,1), effectively captures the characteristics of negatively skewed datasets.

This study presents a novel method for predicting dynamic trajectory flow. It constructs a trajectory flow graph, integrates Laplace noise-based differential privacy with consistency constraint adjustments, and employs a CNN-LSTM hybrid model for feature extraction. Experimental results demonstrate its superiority over traditional approaches, providing a scalable solution for privacy-sensitive applications in intelligent transportation and urban traffic management.

This study investigates CO₂ injection for enhanced recovery in the Wolonghe depleted gas reservoir in the Sichuan Basin using CMG and TOUGH simulations. It examines changes in reservoir temperature and pressure at Well 47 under varying CO₂ injection rates, timings, and temperatures. The study also simulates cumulative gas production at Well 67 using different gases, production rates, and injection–production ratios. By evaluating the effectiveness of CO₂ injection on recovery and reservoir performance, an optimal injection strategy is identified, supporting the low-carbon energy initiatives of Southwest Oil and Gas Field Company.

Among the empirical models of Li-ion battery aging found in literature, 54% model current fluctuation as an aging factor. Furthermore, 92% of the models present aging in terms of capacity fade, while 46% present aging in terms of resistance increase (noting that some models presented both capacity fade and resistance increase).

This study explores the impact of varying injection timings on a biodiesel-hydrogen dual-fuel CI engine. Results reveal that IT30 optimizes brake thermal efficiency (32.7%) and reduces CO and HC emissions while slightly increasing NO_x. Findings suggest IT30 as the optimal configuration for balancing efficiency and emissions.

This work presents CQKD, a unified compression pipeline combining cluster-based quantization and knowledge distillation, achieving 34,000× compression while preserving accuracy for efficient deployment in resource-constrained environments.

This study introduces the SBVIR model, incorporating breastfeeding and vaccination to predict and control rotavirus transmission. Numerical simulations show a 99% effectiveness compared to traditional models, and the Internet of Things applications in Smart Health Infrastructures significantly enhance disease monitoring and predictive control in healthcare systems.

The study examines the challenges and implementation strategies of Industry 4.0 (I4.0) in Tanzania's food and beverage manufacturing industries (FBMIs). Pertinent data were collected from 103 medium and large FBMIs, and the study found no significant differences in challenges such as financial, return on investment, and securing funds. The study proposed strategies for implementing I4.0, including data-driven decision-making and training leaders. The overall mean score for implementing I4.0-related technologies was 3.75, indicating a high level of awareness.

It illustrates the multi-scale temporal adaptive fusion network (MSTAFN) model, which enhances the accuracy and robustness of transformer fault diagnosis through temporal information encoding (TIE), high-order feature extraction (HOFE), and adaptive fusion techniques.

This study introduces the Prioritized Multi-Step Grey Wolf Optimization (PMS-GWO) algorithm, enhancing exploration–exploitation balance and adaptability in complex optimization problems. By integrating dynamic role reassignment and prey-movement strategies, PMS-GWO outperforms conventional algorithms, demonstrating superior efficiency in benchmark tests and engineering applications, particularly in sustainable energy grid optimization.

Smart grid forecasting center.

The GLGKAN-PPI method integrates global and local graph features with multimodal protein attributes to enhance multi-class protein–protein interaction prediction. Using an asymmetric loss function to address class imbalance, it achieves superior accuracy across datasets, highlighting the importance of combined structural and sequence information for robust PPI prediction.

Self-compacting concrete is widely used in the construction industry in which adding basalt fibers exhibits comparable resistance to energy absorption, with an efficacy of around 40% and resists crack propagation. This review paper emphasizes the key characteristics of various properties, including fresh, mechanical, impact, and elevated temperature aspects of basalt fiber-reinforced self-compacting concrete (SCC).

This paper presents a novel Random Walk-premised GOOSE (IGOOSE) search algorithm for solving engineering structural design problems. In the IGOOSE algorithm, each solution represented as a potential solution to an optimization search problem behaves akin to a random walker navigating through a solution space. This algorithm leverages the inherent balance between exploration and exploitation by integrating random walk behavior with local search strategies.

This paper presents a closed-form solution for long-term deformation of the Euler-Bernoulli beam on an elastic foundation with multiple abrupt changes in foundation stiffness and under multiple applied stationary point loads. It provides correction and analysis of an existing approximate solution. Obtained results contribute to the understanding of track deformations where ground properties change.

This study proposes a novel current control concept for DC brushed motors using a power MOSFET in saturation mode, enhancing control resolution and providing practical insights for beginners. It offers unique design methodologies and validates findings through simulations and experimental tests, making significant contributions to electric/electronic circuit studies.

Working steps of the proposed multimodal Bangla sign language detection system.