Driving Green Port Development with Carbon Capture and Storage Applications and Prospects

Cong Guo

pp.1-8 DOI: 10.62051/esrmhj79

Abstract: As global warming intensifies and extreme weather events occur more frequently, reducing greenhouse gas emissions has become a shared challenge for the international community. Against the urgent global backdrop of climate change mitigation, Carbon Capture and Storage (CCS) technology has emerged as a critical component of port decarbonization strategies. This paper comprehensively analyzes its multi-dimensional benefits—environmental, economic, and social—while critically examining the … Read More

Artificial Intelligence in Carbon Capture and Storage Technological Advances and Future Challenges

Jingyi Wang

pp.9-14 DOI: 10.62051/r8kwn586

Abstract: The escalating climate crisis necessitates the rapid development of innovative carbon reduction technologies, among which Carbon Capture and Storage (CCS) is considered a pivotal solution. However, the widespread deployment of conventional CCS is hindered by challenges related to efficiency, cost, and risk management. This review explores the transformative role of Artificial Intelligence (AI), particularly machine learning and deep learning, in overcoming these challenges. By analyzing recent … Read More

The Potential and Deployment Barriers of Carbon Capture and Storage Technology

Yuchen Zeng

pp.15-21 DOI: 10.62051/m6av4j09

Abstract: Carbon capture and storage (CCS) is a pivotal technology for combating climate change and achieving carbon neutrality, yet its large-scale deployment faces multiple challenges. A systematic analysis of the role, development status, and constraints of CCS technology in global emission reduction reveals an unevenly developed technology chain, presenting systemic bottlenecks such as high energy consumption, elevated costs, insufficient infrastructure, a lack of policy incentives, and low social … Read More

Advanced Nanomaterials in Organic Photovoltaics

Zhuoyu Huang

pp.22-26 DOI: 10.62051/c5wdtr22

Abstract: Organic photovoltaics (OPVs) have emerged as a sustainable alternative for electrical energy generation. The integration of nanomaterials has been instrumental in advancing the performance and functionality of OPVs, marking a significant evolution in solar energy technologies. This review aims to analyze the fundamental occupation of nanomaterials in the OPV process and give clarified categories with comprehensive function, and the potential risks in future development are pointed out as well. … Read More

From Regulatory Networks to Precision Breeding: Integrating miRNA and Gene Editing for Trait Improvement in Forest Trees

Nan Su

pp.27-33 DOI: 10.62051/ebpdes72

Abstract: In recent years, with the development of high-throughput sequencing and molecular biology techniques, researchers have identified a large number of miRNA sequences in plants, which play crucial roles in developmental regulation, signal transduction, stress response, and maintenance of nutrient homeostasis. Compared with crops, research on miRNA function in forest trees started later due to their long life cycle and complex genome. However, they have unique regulatory patterns in adaptive … Read More

Green Bonds and Corporate Innovation Efficiency

Xuqing Bo

pp.34-49 DOI: 10.62051/65mej135

Abstract: The impact of green bonds on corporate innovation efficiency is a significant practical issue. This study utilizes data from listed companies between 2007 and 2024 to examine the effects of green bond issuance on corporate innovation efficiency. Findings reveal that green bond issuance exerts a significant positive influence on corporate innovation efficiency, a conclusion that remains robust after undergoing a series of stability tests. Heterogeneity analysis indicates that the effect is more … Read More

Construction of Lignin-based Aqueous Coacervates and Their Mechanisms for Enhancing Pesticide Targeted Delivery

Sun Yu

pp.50-56 DOI: 10.62051/bc4ab010

Abstract: This review systematically explores the construction strategies and functional mechanisms of lignin-based aqueous coacervates for targeted pesticide delivery. By integrating lignin valorization with coacervate technology, we analyze the structural characteristics of different lignin types, compare various coacervate construction methods, and elucidate targeting mechanisms including environmental responsiveness and passive accumulation. Key findings demonstrate that lignin-based coacervates … Read More

Research on TOBRFV Infection in Summer Tomato Seed Production in the Wafangdian Area

Xin Zhang

pp.57-61 DOI: 10.62051/590pqn48

Abstract: This study aimed to assess the infection status of Tomato brown rugose fruit virus (TOBRFV) in tomato seed breeding in Wafangdian area during early and late summer. By comparing infection rates and cycle threshold (Ct) values from early and late summer seed samples, we found a significant increase in infection rates and lower Ct values at the end of the growing season. The study revealed that seeds harvested at the end of summer are at a higher risk of carrying TOBRFV, which could impact seed … Read More

Research on Pathways to Achieve the "Dual Carbon" Goals Driven by New Energy Vehicle Popularization Based on a Multi-Source Data Fusion Model

Haiya Lin, Ruoquan Wang, Zhimin Luo

pp.62-70 DOI: 10.62051/4ye6ze34

Abstract: Amid growing global concerns over greenhouse gas emissions, the adoption of new energy vehicles (for short: NEVs) is a key pathway for China to achieve its "Dual Carbon" goals. Existing research examines NEVs from four main dimensions: life cycle emissions, policy mechanisms, regional impacts, and multi-source data integration. While NEVs have lower life cycle emissions than fuel vehicles, their benefits depend heavily on the power mix. Policy studies highlight the importance of subsidies and … Read More

Study on Factors Influencing Fetal Y Chromosome Concentration Based on Beta Regression and Rank Correlation Analysis

Fangyi Wang, Hao An, Quanying Ye, ChunXiang Liu, Haohan Li, Hui Zhou

pp.71-79 DOI: 10.62051/rmtpca32

Abstract: This study conducted an association analysis and regression modeling of factors influencing fetal Y chromosome concentration in male fetuses, aiming to quantify the complex relationship between fetal Y chromosome concentration (proportional data) and physiological indicators such as maternal gestational age and BMI. First, the attached data underwent Shapiro-Wilk tests, confirming that all variables—including fetal Y chromosome concentration—failed to meet the assumption of Gaussian … Read More

Can Plants Talk? Unlocking the Power of Ultrasound in Plant Communication and Precise Irrigation

David Hsu

pp.80-98 DOI: 10.62051/87tffy83

Abstract: Plants in adverse conditions, such as drought, emit ultrasonic waves between 20 kHz and 150 kHz. Research indicates that plant cells have many mechanically sensitive channels that can detect sound vibrations, then cause physiological changes or gene expression responses. Because plants do not have a nervous system, we hypothesize that they utilize ultrasonic signals for inter-plant communication, particularly in regulating transpiration on their leaves. The findings are revealing: exposure to … Read More

Mechanism of Tea Drinking in Regulating Mental Health and Obesity

Yitang Huang

pp.99-104 DOI: 10.62051/q7g1n154

Abstract: Tea provides notable health benefits through bioactive components, and various properties highlight tea’s potential as a functional drink for mental and physical health. However, the mechanism by which tea drinks regulate mental state and obesity remains to be further analyzed. In order to clarify this regulatory mechanism, this research investigates tea’s effects on mental health, particularly mood regulation, and physical health, focusing on lipid metabolism, anti-inflammatory responses, and … Read More

A Multi-Modal Machine Learning Framework for Type 2 Diabetes Risk Stratification and Progression Time Prediction

Zizhong Yang, Kailun Li, Xiaoqi Lian, Ziqiu Yang

pp.105-113 DOI: 10.62051/8yj4ng97

Abstract: The growing global burden of Type 2 Diabetes (T2D) urgently requires advanced predictive tools that go beyond traditional binary risk classification. This study presents an innovative machine learning framework that integrates multimodal data, including clinical parameters, lifestyle factors, Nuclear Magnetic Resonance (NMR) metabolomics data, and 12-lead Electrocardiogram (ECG) signals, to simultaneously predict T2D risk and disease progression time. This study employs a two-stage prediction … Read More

Research on GPCR-Ligand Binding Affinity Prediction Models Based on GA-SVR and RF

Zhaopeng Dong, Yihan Hu, Qinghua Li

pp.114-123 DOI: 10.62051/95533w56

Abstract: G protein-coupled receptors (GPCRs) are a class of cell surface receptors regulating signal transduction and represent important drug targets. Traditional experimental methods face bottlenecks such as being time-consuming and costly. This study aims to construct high-precision prediction models for GPCR-ligand binding affinity. Utilizing support vector machines optimized by a genetic algorithm and random forest models, based on 933 sets of GPCR-ligand binding data, molecular fingerprints and … Read More

Non-coding RNAs-Mediated Regulation of Tumor Innate Immunity and Its Clinical Application Prospects

Xinyu Liao

pp.124-133 DOI: 10.62051/8wcjeq35

Abstract: Tumors severely threaten human health, and traditional therapies often struggle with immune escape and drug resistance. Non-coding RNAs (ncRNAs), which do not encode proteins, can regulate tumor innate immune cell functions and related signaling pathways, becoming a research focus. This study explores ncRNAs’ mechanisms in tumor innate immunity and clinical prospects. It first sorts out ncRNAs’ classification and characteristics, then analyzes their roles in remodeling immune cell functions … Read More

Study on Fluorescence Recognition of CrO₄²⁻ and Cr₂O₇²⁻ Based on Zn-MOF

Xiwen Xing, Han Wang

pp.134-141 DOI: 10.62051/d5wqda86

Abstract: In contemporary society, as industrialization and urbanization advance rapidly, the problem of chromium-containing wastewater discharge has grown increasingly conspicuous. Hexavalent chromium salts (CrO₄²⁻ and Cr₂O₇²⁻), as common heavy metal ions, pose a severe threat to both the environment and human health. Therefore, the progress of efficient and sensitive detection technologies is crucial for monitoring such environmental pollutants. In this study, 2,6-naphthalenedicarboxylic acid and … Read More

Research on Strategy Optimization Based on Linear Programming and Conditional Value at Risk

Zehuan Liu, Yuwen Huang

pp.142-151 DOI: 10.62051/z5mfc990

Abstract: Arable land resources are limited in mountainous areas. How to develop scientific planting strategies that maximize economic benefits while coping with market uncertainties is a key issue for sustainable agricultural development. This paper constructs a comprehensive model framework that extends from deterministic optimization to risk-quantified decision-making. First, a linear programming model aimed at maximizing total profit is established to devise basic planting strategies under ideal … Read More

Dynamic Study of Farmland Ecosystem Based on Lotka-Volterra Model with Human Intervention Factors

Yikai Zhao, Wanlin Chen, Ziqi Zhang, Zihan Gao, Peiyi Li, Simiao Wang

pp.152-157 DOI: 10.62051/gsyacb14

Abstract: Addressing the ecosystem dynamics during forest-to-farmland conversion and human intervention impacts, this study establishes a multi-species biomass dynamic differential equation model based on the Lotka-Volterra framework. By incorporating seasonal periodic functions and agricultural management measures (e.g., herbicides, insecticides) as disturbance factors, combined with MATLAB numerical simulations, this study simulated biomass variation curves under different intervention conditions. The … Read More

Sources, production methods, and applications of biochar

Mingye Liu

pp.158-167 DOI: 10.62051/skgdgb05

Abstract: With the rapid depletion of resources like oil and coal, the world is actively seeking sustainable, efficient, and eco-friendly energy alternatives. Biochar, a versatile material, can be produced from diverse sources including agricultural residues, forestry waste, and urban organic matter. Moreover, biochar preparation methods such as pyrolysis, hydrothermal carbonization, and microwave-assisted techniques offer flexible production options. Concurrently, physical, chemical, and microbial … Read More