Resilient Pattern Mining See

Frequent pattern mining is a flagship problem in data mining. In its most basic form, it asks for the set of substrings of a given string S of length n that occur at least τ times in S, for some integer τ ϵ[1,n]. We introduce a resilient version of thi...

The Politics of Anti-Trafficking Evaluation See

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Analyzing the Effect of Fe on the Microstructure and Mechanical Properties of a Fibrous AA6110 Alloy See

In this study, the effect of three different levels of iron impurity on the grain structure and texture of a fibrous AA6110 alloy after hot extrusion was investigated. Microstructural examination was carried out to measure the microtexture and the results were correlated with tensi...

Comparative analysis of GAMLSS modeling approaches for nonstationary runoff dynamics in the Yellow River Basin of China See

Quantifying the driving effects of climate change and human activities on nonstationary runoff dynamics is essential. However, the systematic assessments of nonstationary characteristics and their multiple driving mechanisms at the basin scale remain insufficient. This study compared two Generalized A...

Non-stationary framework of quantifying heat-driven drought propagation mechanisms in the Yellow River Basin of China See

Drought evolution in the Yellow River Basin has become increasingly complex under climatic warming and intensified human disturbance, challenging conventional stationary monitoring approaches. In this study, we developed an integrated framework to characterize meteorological (MD), agricultural (AD), and hy...

Disruption of the thyroid hormone system and patterns of altered thyroid hormone serum concentrations after chemical exposures in adult rodents – a systematic review See

Identification of thyroid hormone system-disrupting chemicals (THSDC) requires a solid understanding of the mechanisms by which exposure leads to adverse outcomes in the thyroid hormone system (THS). In this systematic review we present the results from our extensive evidence mapping of thyr...

Status Fixity and Dirty Workers’ Experiences of Recognition See

Based on interviews with waste management workers, this study focuses on changes in low-paid/low-status workers’ experiences of recognition during and after the pandemic. In this article, we explore these developments, drawing on the work of Honneth, Fraser, Neckel and Reckwitz. Our ana...

Graph-Centric Deep Q-Learning for Interference-Aware Resource Allocation in Rsma-Enabled 5G Slicing See

The emergence of 5G and 6G advanced ecosystems demands highly adaptive resource management to orchestrate the specialised requirements of eMBB, URLLC, and mMTC network slices. In dense multi-cell environments, capturing complex spatial interdependencies and mitigating dynamic interference is paramount ...

LGCF-Net: Local-Global Competitive Fusion for Ultra-Lightweight Medical Image Segmentation See

Although deep neural networks possess powerful feature representation capabilities, they typically demand massive parameter scales and heavy computational burdens, while current lightweight alternatives that reduce model sizes through operations like pruning or depthwise separable convolutions often struggle to...