Li Luo

Accurate colorimetric quantification presents a significant challenge, as traditional imaging technologies fail to resolve metamerism and even hyperspectral imaging (HSI) is compromised by nonlinearities and specular reflections. This study introduces a high-fidelity colorimetric system using cross-polarized HSI to suppress specular reflections, integrated with a Support Vector Regression (SVR) model to correct the system’s nonlinear response. The system’s performance was rigorously validated, demonstrating exceptional stability and repeatability (average ΔE00<0.1). The SVR calibration significantly enhanced accuracy, reducing the mean color error from ΔE00=4.36 to 0.43. Furthermore, when coupled with a Random Forest classifier, the system achieved 99.0% accuracy in discriminating visually indistinguishable (metameric) samples. In application-specific validation, it successfully quantified cosmetic color shifts and achieved high-precision skin-tone matching with a fidelity as low as ΔE00=0.82. This study demonstrates that the proposed system, by synergistically combining cross-polarization and machine learning, constitutes a robust tool for high-precision colorimetry, addressing long-standing challenges and showing significant potential in fields like cosmetic science.

Foot-and-mouth disease virus (FMDV) infection elicits sustained, high-level interleukin-10 (IL-10) secretion in cattle and pigs, which correlates with lymphopenia and immunosuppression.

Forests in the Upper Yellow River Basin (UYRB) function as critical headwater ecosystems where water-yield stability (WYS) is a priority management concern given accelerating climate change and inten...

Yanrong Jin,1 Jie Gao,1 Li Luo,2 Yingfeng Wu3 1 Department of Obstetrics and Gynecology, Beijing Luhe Hospital, Capital Medical

Li Luo Ziqin Liu Zimin Song Dong Zhang Cong Liang Fei Fang Kai Lei Lina Wang Weikang Chen

Abstract: We present an equivariant K-theoretic construction of affine quantum Schur algebras of type C with three parameters by taking advantage of Kato's exotic framework.

Abstract The Howe duality between quantum general linear supergroups was firstly established by Y. Zhang via quantum coordinate superalgebras.

Human activities are accelerating ecosystem degradation, making regional sustainability transitions increasingly urgent. Although the United Nations Sustainable Development Goals (SDGs) provide a unified global framework for action, their implementation at the regional scale still lacks operational approaches for evaluating whether progress in human well-being is matched by ecological improvement. Here, we develop an integrated framework that links SDG-oriented human well-being with an ecological composite index derived from landscape patterns and ecosystem services. Within this framework, coupling coordination degree (CCD) is used to quantify the alignment between the ecological and social subsystems, and boosted regression trees are applied to identify the drivers of spatial heterogeneity in this coordination state. Using 69 prefecture-level cities in the Yellow River Basin (YRB) as a case study, we show that the SDG composite score improved substantially from 2000 to 2022, particularly in poverty reduction, education, employment, resource efficiency, and social equity, whereas SDG 13 (climate action) declined. Meanwhile, the ecological subsystem consistently lagged behind the social subsystem over the long term, especially in the middle and lower reaches, limiting overall coordination gains to a moderate level. Slope, GDP, NDVI, and precipitation emerged as the dominant drivers of the coordination pattern, highlighting the combined influence of natural constraints and development intensity. Based on CCD levels and their temporal trajectories, we further classify the 69 cities into four sustainability pathways and propose differentiated policy interventions. Our framework offers actionable guidance for the YRB and other resource-dependent and ecologically fragile regions undergoing sustainability transitions.

Yushan Zhang [1] Li Luo [1] Rui Tang [1] Xiaoqing Luo [1] Qi Liu [1]

Abstract Sex differences in melanoma incidence and mortality are well-established.