Dong Wang

1 month ago | pubs.acs.org | Dong Wang |Hiroko Oshima |Han Nguyen |Ayhan Yurtsever

Analytical ChemistryCite this: Anal. Chem. 2025, XXXX, XXXClick to copy citationCitation copied!. This publication is licensed under CC-BY-NC-ND 4.0 . You are free to share (copy and redistribute) this article in any medium or format within the parameters below:Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted.

1 month ago | dx.doi.org | Dong Wang |Hiroko Oshima |Han Nguyen |Ayhan Yurtsever

Analytical ChemistryCite this: Anal. Chem. 2025, XXXX, XXXClick to copy citationCitation copied!. This publication is licensed under CC-BY-NC-ND 4.0 . You are free to share (copy and redistribute) this article in any medium or format within the parameters below:Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted.

2 months ago | rmets.onlinelibrary.wiley.com | Huanyu Yang |Pengcheng Xu |Dong Wang |Vijay Singh

Conflicts of Interest The authors declare no conflicts of interest. Supporting Information Filename Description joc8855-sup-0001-Supinfo.docxWord 2007 document , 2.3 MB Table S1. The functional expression of the parameters of the marginal distribution of rainfall duration. Table S2. The functional expression of the parameters of the marginal distribution of total rainfall. Table S3. Probability distributions and parameter ranges of the Copula models considered in this study. Table S4.

Jan 29, 2025 | nature.com | Dong Pan |Dong Wang |Xiao-Tian Li |Pei-Yuan Xu |Bo-Wen An

High carbon sectors (agriculture, industry, construction, and transportation) contribute nearly 85% of carbon emissions, highlighting the urgent need for transitioning towards cleaner energy structures in these sectors. This study utilizes the undesirable SBM model to assess TFEE (total factor energy efficiency) across the total sector and high carbon sectors. It decomposes TFEE from an energy structural perspective into coal, oil, natural gas, and electric heat efficiencies. Using a variance-like decomposition model, it analyzes TFEE at two levels to examine how changes in specific sectors and energy categories affect total sector TFEE. From 2010 to 2021, China’s total sector TFEE increased from 0.542 to 0.676, with electric heat and coal identified as critical factors limiting TFEE improvements. Among the four high carbon sectors, construction exhibited a significant increase in TFEE, agriculture showed a steep rise, the industry demonstrated a U-shaped trend with a turning point in 2015, and transportation experienced a slight decline. TFEE exhibits a descending order among sectors, with agriculture ranking highest, followed by construction, industry, and transportation. Similarly, the total factor efficiencies of energy types show a hierarchical structure, with oil being the most efficient, followed by electric heat, natural gas, and coal. Construction dominates TFEE changes at the sectoral level, contributing 58.87%, while coal contributes over 30% at the energy category level. The decomposition results for each province further indicate that both sectoral structure and energy structure significantly impact the changes in TFEE, and this influence also exhibits regional heterogeneity.

Jan 13, 2025 | biorxiv.org | Zhiying Liao |Junjie Lv |Dong Wang |Xuepeng Chen

AbstractExtracellular matrix (ECM) stiffness plays a crucial role in regulating cell fate and maturation, but its influence on lung development is limited known. Here we utilized stiffness-tunable gelatin methacryloyl (GelMA) hydrogels to investigate how ECM stiffness influences site-specific lung development in a stem cell-derived lung organoid model. We found increased stiffness promoted NKX2.1+ lung progenitor cells (LPCs) generation.