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Platform engineering has become the dominant approach to managing developer infrastructure at scale, with industry surveys indicating that 94% of organizations have adopted or plan to adopt dedicated platform teams. Desp...

Solvent evaporation, a ubiquitous yet often limiting step in chemical synthesis, routinely creates critical bottlenecks in research workflows. We introduce a novel benchtop solvent evaporation platform engineered to dram...

IntroductionThe limited availability of suitable scaffolds for three-dimensional (3D) cell culture has driven the development of new biomaterials. In this study, we developed a porcine fibrin matrix gel (PFMG) derived en...

Cancer therapy and food preservation both face significant challenges related to stability, targeted delivery, safety, and efficiency of active compounds. Biopolymer-based nanoparticles, particularly those derived from c...

Human induced pluripotent stem cells (iPSCs) are transforming adoptive cell therapy by combining unlimited self-renewal, broad differentiation potential, and high amenability to genome engineering. These attributes make ...

This paper introduces a novel hybrid machine learning model that combines Long Short-Term Memory (LSTM) networks and SHapley Additive exPlanations (SHAP) to enhance bug localization across multiple software platforms. Th...

Designing and engineering microresonator dispersion are essential for generating microresonator frequency comb. Microresonator frequency combs (microcombs, Kerr frequency combs) offer the potential for various attractive...

Abstract Architectural singularity belongs to the Type II singularity, in which a parallel manipulator (PM) gains one or more degrees of freedom and becomes uncontrollable. PMs remaining permanently in a singularity are ...

Abstract With the development of fluid-power transmission and control technology, electro-hydraulic-driven technology can significantly improve the load-carrying capacity, stiffness, and control accuracy of stabilization...

Abstract Current research concerning legged platforms and wheeled platforms primarily focuses on terrain adaptive capability and speed capability, respectively. Compared with wheeled platforms, legged platforms with a cl...

Abstract In this study, graphitic carbon nitride, often known as g-C₃N₄, has also been shown to be a highly attractive photocatalyst that works well with visible light. However, its performance has been adversely aff...

In linear optical processes, compact and effective wavefront shaping techniques have been developed with the artificially engineered materials and devices in the past decades. Recently, wavefront shaping of light at newl...

Currently, the parking management implemented in several public places has not been managed properly, resulting in a buildup of vehicles and it is difficult for many vehicles to find a parking space. The Maspul Jaya boar...

The rising concern of antimicrobial resistance, coupled with the continually challenging management of complicated diseases such as cancer, has provided momentum toward precision molecular medicine. This review provides ...

Currently, numerous vocational colleges have incorporated practical training courses focused on automated production lines. However, due to spatial constraints and insufficient availability of physical equipment, the imp...

Synthetic frequency dimensions provide important opportunities to investigate novel topological phenomena. Previously, many theoretical proposals have been studied and relevant experiments have been performed very recent...

Purpose – This study aimed to develop and evaluate CircuitPintar, a website-based learning medium designed to improve the competencies of vocational high school students in the Basic Electrical Theory element of the El...

This article presents a multilingual (Portuguese, Spanish, English, and French) game-based application to the Android and the iOS platforms. The game allows undergraduate Chemical Engineering and Chemistry students to in...

Background: Conventional electrocardiography (ECG) analysis faces a persistent dichotomy: Expert-defined features provide interpretability but are limited in capturing latent high-dimensional patterns, whereas deep learn...

Abstract Electrostatically tunable quantum confinement in nanoscale systems offers unprecedented opportunities for manipulating artificial quantum matter, positioning these platforms at the frontier of quantum science. T...

Abstract Background 3-Hydroxypropionic acid (3-HP) is a promising C3 platform chemical with wide industrial applications. However, its microbial production remains limited by insufficient intracellular malonyl-CoA availa...

On-demand ride services or ride-sourcing services have been experiencing fast development and steadily reshaping the way people travel in the past decade. Various optimization algorithms, including reinforcement learning...

This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...

Abstract The development of a battery management algorithm is highly dependent on high-quality battery operation data, especially the data in extreme conditions such as low temperatures. The data in faults are also essen...