Zixuan Wang

A retinal adrenergic module tunes mammalian visual evolution

Fu-Sheng Tang, Kong Miao-miao, Ya-Ru Luo, Zixuan Wang et autres

Abstract How conserved neural circuits are modified during mammalian evolution remains poorly understood. Here we combine cross-species single-cell transcriptomics, in situ validation, retinal physiology, and conditional genetics to identify a superorder-associated adrenergic module in the mammalian retina. We find that ADRB1 , …

cn (code pays fourni par la source)

Differential gut microbiota modulation associated with anti-Parkinsonian effects of Ophiopogon japonicus across geographical origins and extraction methods

Sijia Gao, Zixuan Wang, Ai-Hua Xie, Jia-Xin Wu et autres

Introduction Ophiopogon japonicus (OJ) is a medicine-food homologous plant widely consumed in East Asia and has attracted attention for its potential anti-Parkinsonian properties. However, the influence of geographical origin and extraction methods on its bioactive profile, gut microbiota modulation, and anti-Parkinsonian effects …

mo, cn (code pays fourni par la source)

Digital dawn or dimming dusk? the dual impact of light pollution and digital economic expansion on senior cognitive function health in China

Yourong Yao, Zixuan Wang

BACKGROUND: As the digital economy expands rapidly in modern cities, its influence on both urban growth and public health is increasingly significant. However, the concurrent rise of light pollution-now recognized as the fifth major source of environmental pollution-presents critical challenges, particularly to …

sg, mo, us (code pays fourni par la source)

Dimethyl fumarate reprograms cervical cancer cells to enhance antitumor immunity by activating mtDNA-cGAS-STING pathway

Han Jiang, Li‐Ting Liu, Shan He, Shen Qu et autres

Abstract Background Cervical cancer (CC) remains a significant global health challenge for women, especially in advanced stages where effective treatments are limited. Current immunotherapies, including PD-1/PD-L1 blockades and adoptive T cell therapies, show limited response rates and durability. Dimethyl fumarate (DMF), an …

cn, hk, sa (code pays fourni par la source)

SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models

Hong-Xing Li, Dingming Li, Zixuan Wang, Yuchen Yan et autres

Spatial reasoning remains a fundamental challenge for Vision-Language Models (VLMs), with current approaches struggling to achieve robust performance despite recent advances. We identify that this limitation stems from a critical gap: existing methods attempt to learn spatial reasoning directly without establishing the …

KS04.5.A ELECTRIC-FIELD-RESPONSIVE HYDROGEL FOR POSTOPERATIVE IMMUNOTHERAPY OF GLIOBLASTOMA RECURRENCE

Zixuan Wang, Yi Shao, Guangzhi Wang, Weitao Man

Abstract BACKGROUND Glioblastoma multiforme (GBM) represents a refractory malignancy of the central nervous system. Tumor Treating Fields (TTF) has emerged as a novel non-invasive treatment modality, yet its precise mechanism remains incompletely elucidated and clinical efficacy limited. The potential immunoregulatory properties of …

cn (code pays fourni par la source)

Temporal feature reconstruction of ammonia nitrogen time series for machine learning prediction in wastewater treatment plants: Enhanced predictability and physically-informed interpretability

Shengbo Yue, Anlei Wei, Zixuan Wang, Yangyang Guo et autres

cn (code pays fourni par la source)

Predictive efficacy and role of 2HG in MGMT promoter methylation in gliomas: a retrospective study based on MRS and mediator variable analysis

Ying Ge, Meimei Yu, T.-Q. Chang, Zixuan Wang et autres

cn (code pays fourni par la source)

Study on safety of advanced integrated natural circulation reactor of NHR200-II under LOCA condition

Yan Wang, Zixuan Wang, Heng Xie

cn (code pays fourni par la source)

Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning

Hairui Ren, Fan Tang, He Zhao, Zixuan Wang et autres

Fine-tuning vision-language models (VLMs) with large amounts of unlabeled data has recently garnered significant interest. However, a key challenge remains the lack of high-quality pseudo-labeled data. Current pseudo-labeling strategies often struggle with mismatches between semantic and visual information, leading to sub-optimal performance …

es, cn, au (code pays fourni par la source)

Machine learning framework for energy consumption prediction in wastewater treatment plants combining resampling and cohort Shapley value analysis

K.S. Tang, Anlei Wei, Zixuan Wang, Yangyang Guo et autres

cn (code pays fourni par la source)

Uncertainty and sensitivity analysis of core flow distribution optimization using Monte-Carlo method and Wilks' formula

Zixuan Wang, Yifan Meng, Yan Wang

cn (code pays fourni par la source)