Do mainstream parties adopt more populist language when challenger parties using it are successful? The impact of UKIP’s electoral success, culminating in the 2014 European electio... by Stephenson, K

“…Secondly, two approaches are applied to test the causal link of this change to the independent variable: process tracing using evidence from elite interviews, and qualitative content analysis of election leaflets in a sample of constituencies which faced varying levels of UKIP threat in 2014/2015. …”

Competition policy and the labour share by Zac, A, Casti, C, Decker, C, Ezrachi, A

“…This suggests a potential link between the design and effectiveness of competition policy and the labor share, and more broadly to distributional outcomes. …”

Fifty shades of deprivation: disaggregating types of economic disadvantage in studies of terrorism by Hertog, S, Arellano, A, Hegghammer, T, Østby, G

“…Combining them yields eight different mechanisms that could link economic status to terrorist radicalization. …”

A new blood fluke,Parasanguinicola vastispina gen. nov., sp. nov. (Trematoda: Sanguinicolidae), from sea bass Lates calcarifer (Centropomidae) cultured in Malaysia by Herbert, B.W., Shaharom, F.M.

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Fate of carbofuran in rice-fish model ecosystem -an international study by Jayaraman, J., Celino, L.P., Lee, K.H., Mohamad, R.B., Suns, J., Tayaputch, N., Zhang, Z.

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A consumption model for measuring poverty: an exploratory exercise by Paim, Laily

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A tymovirus from Calopogonium mucunoides in Malaysia is not clitoria yellow vein tymovirus: brief report by Gibbs, A.J., Mackenzie, A.M., Abdul-Samad, N.

Some effects of submarine pipeline construction on the sessile zoobenthic community of Redang Island by Rezai, Hamid, Ibrahim, H.M., Idris, B.A.G., Kushairi, M.R.M.

A review: Deep learning for 3D reconstruction of human motion detection by Yang, Junzi, Ismail, Ajune Wanis

“…Deep learning theory has made important achievements in human motion detection, recognition, tracking and other aspects, and human motion detection and recognition is an important link in 3D reconstruction. In this paper, the deep learning algorithms in recent years, mainly used for human motion detection and recognition, are reviewed, and the existing methods are divided into three types: CNN-based, RNN-based and GNN-based. …”
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Sizing AC/DC building distribution network part III by Hendro

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Effect of sedative and stimulative music on visual reaction time and arousal in university athletes by Lim, Tin Ying

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Drivers’ behaviours detection with privacy protection using deep learning techniques by Xing, Tong

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Cognitive fatigue and its effects on choice reaction time in elite Muay Thai athletes by Chew, Yan Ying

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Establishing edge labels for benchmarking gene co-expression networks of saccharomyces cerevisiae and homo sapiens by Antony Velankanni Jenet Princy

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Investigating the role of local angiotensin system in the browning of white adipocytes by Tan, Shi Wei

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Building AC/DC microgrid design by Li, ChengJing

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Using GO supporting catalyst to convert biomass into DFF by Li, Haopeng

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Structure and phase engineering of 2D transition metal chalcogenides by Tang, Bijun

“…Moreover, the morphology of heterostructures can be engineered by fine-tuning the synthesis conditions. WS2 quantum well is also identified in the synthesized heterostructures, providing opportunities for studying novel optical properties and quantum confinement effects. …”
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Physics-informed machine learning for green data center operations by Wang, Ruihang

“…The evaluation shows that our approach saves 5.7% to 13.8% power usage compared with conventional feedback control and adapts 8x to 10x faster than native fine-tuning with at most 0.74C temperature overshoot. …”
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Improvement of CZTS solar cell by hydrogen doping by Chua, Maynard Wen De

“…CZTS films were successfully fabricated on Molybdenum-coated glass by spin coating technique and subsequent annealing in sulphur atmosphere. …”
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