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In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged a...

Freshwater science has grown and evolved extensively since its inception in the late 1800s. Many of the models and conceptual frameworks developed for and used in freshwater research were originally proposed by researche...

The rising demand for food, escalating water security, the impact of climate change, and global policy initiatives have heightened research focus on sustainability in agricultural water management. However, the field suf...

Penelitian ini bertujuan untuk mengetahui nilai-nilai yang terkandung dalam Undang-undang Simbur Cahaya yang masih diamalkan masyarakat Sakatiga Kecamatan Indralaya. Sampel diperoleh dengan menggunakan teknik purposive s...

Abstract Background Carbapenem-resistant Citrobacter freundii is increasingly reported and recognized as an opportunistic host of mobile carbapenemase-encoding elements in healthcare-associated settings. However, lineage...

Abstract Machine learning surrogate models of Kohn-Sham Density Functional Theory Hamiltonians provide a powerful tool for accelerating the prediction of electronic properties of materials, such as electronic band struct...

An appropriate understanding and accurate estimation of zonal freight production (FP) and attraction (FA) volume is one of the most important topics and the initial step in developing the origin and destination (OD) matr...

Calibration of low-cost air quality sensors (LCSs) for total volatile organic compound (TVOC) and benzene, toluene, ethylbenzene, and xylenes (BTEX) quantification remains challenging due to the sensors' cross-sensitivit...

Abstract Fractures are among the most common presentations to emergency and orthopedic services, yet radiograph interpretation remains inconsistent, particularly in resource-limited and off-hours settings. Weakly supervi...

The World Health Organization has identified ST23 carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) as a critical public health threat. Through China’s national surveillance system (BRICS), we identifi...

Abstract Klebsiella oxytoca is an under-recognised opportunistic pathogen increasingly associated with severe antimicrobial-resistant infections. Here, we report the first carbapenemase-producing K. oxytoca (CPKO) isolat...

This study evaluates the low-velocity impact response of aerospace-grade epoxy laminates (M18/1) interleaved with four distinct thermoplastic films (PEI, PES, PSU, PC). Impact performance was correlated with quasi-static...

Abstract Artificial intelligence (AI) is emerging as a transformative tool for stormwater management with the potential to enhance resilience, efficiency, and equity across urban water systems. This paper examines the op...

Abstract The rising demand for timber, alongside declining natural forests, has driven rapid growth of plantation forestry, especially smallholder woodlots in sub-Saharan Africa. Despite their increasing importance for l...

Time-series forecasting is fundamental to decision-making across numerous domains; however, systematic temporal delays in predictions remain a largely overlooked or unrecognised phenomenon. This phenomenon occurs when fo...

Abstract This study introduces two recently developed bio-inspired metaheuristic algorithms, Artificial Protozoa Optimizer (APO, 2024) and Dung Beetle Optimizer (DBO, 2023), into long short-term memory (LSTM) networks fo...

Abstract Durum wheat breeding increasingly requires tools that can anticipate how genotypes respond to the shifting mix of heat and drought typical of Mediterranean drylands. In this study, we explored whether a multimod...

This paper addresses the challenge of packet-based information routing in large-scale communication networks. The problem is framed as a constrained statistical learning task, where each network node operates using only ...

Globe artichoke is rich in nutrients and phenolic compounds. However, nearly 85% of its biomass is discarded following harvest. To propose a scalable and economically attractive process for the revalorization of this mat...

Abstract Background Research suggests that parents of children and adolescents with obsessive-compulsive disorder (OCD) often accommodate symptoms which may contribute to the maintenance and reinforcement of the disorder...

Biotic and abiotic stresses reduce crop yields, yet existing image‑based diagnostic models are often crop‑specific, computationally intensive, and poorly interpretable. This study present: (i) a multi-crop diagnostic...

Conventional adversarial perturbations on traffic sign images often induce noticeable color shifts and abnormal contrast compared to natural images, rendering them susceptible to detection, particularly by Vision Transfo...

This article searches for basics and evolution of the concept of „soft skills” in the literature. From the first formulations of the term to the contemporary definitions used in economic research and in studies on...

Behavioural finance is a promising solution to enhance voluntary retirement savings (VRS) and is gaining recognition around the world. Despite this, there may be some limitations to the transferability of its applicatio...