Background/Objectives: To assess the correct sampling rates and self-collection satisfaction levels among female residents aged 25 to 64 years during first-time HPV testing in communities of Ho Chi Minh City. Methods: An observational study was conducted on for from January December 2024. The employed a probability proportional size method, involving self-collected post-collection direct interviews. Results: data show that 99.9% [95% CI = 0.99-1] 775 women successfully collected their own...

Timely monitoring the large-scale civil structure is a tedious task demanding expert experience and significant economic resources. Towards smart system, this study proposes hybrid deep learning algorithm aiming for structural damage detection tasks, which not only reduces required resources, including computational complexity, data storage but also has capability to deal with different levels. The technique combines ability capture local connectivity of Convolution Neural Network well-known...

Approximation models have recently been introduced to differential evolution (DE) reduce expensive fitness evaluation in function optimization. These basically require additional control parameters and/or external storage for the learning process. Depending on choice of parameters, strategies may different levels efficiency. The present paper introduces an alternative way reducing evaluations evolution, which does not parameter and archive. algorithm uses a nearest neighbor search population...

A new approach to performing the α-level optimization in fuzzy analysis of structural systems is developed this study. The method uses a simple global optimizer, Jaya algorithm, together with an innovative dimension reduction technique. technique aims transform original large problem into low-dimension one by making use monotonic behavior system output respect input variables. Then, algorithm applied solve reduced max/min problems determine bounds output. Two numerical examples, including 2D...

Thanks to the rapid development of computer science, direct analyses have been increasingly used in design structures lieu member-based methods using effective length factor.In a analysis, ultimate strength whole structure can be sufficiently estimated, so that need for member capacity checks is eliminated.However, complicated structural problems where many are required, use requires an excessive computation cost.In such cases, Machine Learning (ML) algorithms build metamodels predict...

Optimization of steel moment frames has been widely studied in the literature without considering shear deformation panel-zones which is well-known to decrease load-carrying capacity and increase drift structures. In this paper, a robust method for optimizing developed panel-zone design considered by using doubler plates. The objective function total cost beams, columns, reinforcement. strength serviceability constraints are evaluated direct capture nonlinear inelastic behaviors structure....

This article presents an adaptive directional differential evolution (ADDE) algorithm and its application in solving discrete sizing truss optimization problems. The is featured by a new self-adaptation approach simple strategy. In the adaptation approach, mutation operator adjusted accordance with change of population diversity, which can well balance between global exploration local exploitation as locate promising solutions. strategy based on order relation two difference solutions chosen...

This paper introduces an improved response surface-based fuzzy finite element analysis of structural dynamics. The free vibration structure is established using superposition method, so that displacement responses can be presented as functions mode shapes and natural frequencies. Instead direct determination these quantities by modal which will involve the calculation whole model, proposes a felicitous approach to design surface surrogate model for problem. In complete quadratic polynomials...