China Finance Review International has announced a call for papers for a special issue titled “New Frontiers in Sustainable Finance.” The issue invites original research on how sustainability and ESG considerations are reshaping financial markets, corporate behavior, and regulatory frameworks. Manuscript submissions open on 31 October 2025 and close on 31 July 2026.

In a paper published on aBIOTECH, the authors investigated the off-target effects of ADAR-mediated RNA editing in rice protoplasts, revealing that high levels of ADAR can induce abundant stochastic RNA editing and protoplast-based assessments of RNA editors require rigorous validation.

Perovskite solar cells (PSCs) have emerged as promising alternative for next generation photovoltaics due to their superior power conversion efficiencies (record currently at 34.9% for perovskite-silicon tandem) and low-cost manufacturing. One fully-printable implementation of perovskite solar cells uses mesoporous layers. However, the complex mesoporous architectures present a significant challenge for accurate modelling, especially considering the enhanced interfacial effects. Then, the influence of the manufacturing texturing on the charge extraction and corresponding device performance remains poorly understood. To address these limitations, a research team from Zurich University of Applied Science, ETH Zurich and École Polytechnique Fédérale de Lausanne has developed ChargeFabrica, Python-based 2D electro-ionic drift-diffusion simulator. This tool enables detailed analysis of charge and ion dynamics within complex geometries, providing insights unattainable with traditional 1D models. The platform successfully replicates experimental trends, such as thickness-dependent current–voltage characteristics and ionic pre-bias effects, paving the way for optimized device design and enhanced stability.

This review systematically summarizes recent research on co-processing biomass with petroleum streams via fluid catalytic cracking and hydrotreating, addressing feedstock properties, catalyst performance, and pilot-scale projects.

In a paper recently published on aBIOTECH, the authors combined spatiotemporal expression analysis and CRISPR/Cas9 genome editing to dissect the roles of four WOX1 homologs in soybean. This study revealed their functional redundancy, and showed that triple mutants develop narrow leaves. GmWOX1a could rescue the leaf phenotype of lam1 mutant in Nicotiana sylvestris.

Researchers from Xi'an Jiaotong University have developed a groundbreaking compressed carbon dioxide (CO₂) energy storage system that achieves unprecedented efficiency while simultaneously generating electricity and cooling energy. The study, published in Frontiers in Energy, introduces a novel gas-liquid phase change approach that eliminates geographical constraints and reduces operating pressures, potentially transforming how commercial facilities and power grids manage renewable energy storage.

Developing environmentalyl friendly and energy-efficient CO₂ adsorbents for post-combustion capture is a critical step toward achieving toward carbon neutrality. While aqueous amines and metal oxides have play pivotal roles in CO₂ capture, their application is limited by issues such as secondary pollution and high energy consumption. In contrast, Zn-based metal-organic frameworks (Zn-based MOFs) have emerged as a green alternative, offering low toxicity reduced regeneration temperatures, and high efficiency in both CO₂ adsorption and catalytic conversion into valuable fuels and chemicals. This mini review begins with a general introduction to MOFs in CO₂ capture and conversion, followed by an overview of early studies on Zn-based MOFs for CO₂ capture. It then summarizes recent research advancements in Zn-based MOFs for integrated CO₂ capture and conversion. Finally, it discusses key challenges and future research directions for post-combustion CO₂ capture and conversion using Zn-based MOFs.

In a paper published on aBIOTECH, the authors introduce BacPhase, a sequence-based phasing method that uses restriction enzyme-digested and self-ligated BACs followed by PCR and PacBio HiFi sequencing. It generates high-resolution bin markers, enabling precise haplotype resolution in polyploid plants like potato without Hi-C or physical maps, significantly improving genome scaffolding and supporting breeding applications.

Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality imaging. We propose a sample prior–based PSF decoupling method, where regular fluorescent samples act as modulators to computationally optimize the system PSF. This approach avoids modeling errors and low SNR limitations of theoretical or particle-based PSFs. Experiments demonstrate high-contrast, multicolor, and large-depth imaging comparable to confocal microscopy, offering a general strategy for accurate system characterization in advanced CFM.