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Review Article
Fidelity and Delivery: Coupled Barriers in Plant CRISPR-Cas Genome Editing
CRISPR-Cas platforms have transformed plant functional genomics, yet nucleases such as Cas9 and Cas12a remain constrained by two seemingly distinct limitations: imperfect target discrimination and inefficient intracellular delivery. Here, this review proposes that these constraints are functionally...
Research Article
Genome-Wide Identification and Expression Profiling of the SBP-box Gene Family in Medicago truncatula
The Squamosa Promoter Binding Protein (SBP) family comprises plant-specific transcription factors widely distributed across green plant lineages and holds significant value for agricultural improvement by regulating key traits including yield, flowering, and stress tolerance. Here, we performed a ge...
Research Article
A Third-Order Variable Step Size Superclass of Block Backward Differentiation Formula for Efficient Solution of Highly Stiff Differential Systems
This paper develops a third-order fully implicit adaptive variable step-size superclass block backward differentiation formula (VSBBDF3) for the efficient numerical simulation of nonlinear stiff dynamical systems, including oscillatory, chaotic, and reaction-kinetics systems governed by ordinary dif...
Research Article
Automated PCOS Disease Detection Using Clinical and Diagnostic Features
Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder affecting reproductive-age women, leading to infertility, hormonal imbalance, insulin resistance, and cardiovascular complications. Early diagnosis remains challenging due to heterogeneous manifestations, overlapping symptoms, and la...
Research Article
Authority and Responsibility Allocation in Human–AI Collaborative Decision-Making: Governance Mechanisms for Enterprises
Artificial intelligence is moving from analytical support toward active participation in enterprise decisions, creating an organization-design problem: firms must decide which rights may be delegated to AI and how responsibility should follow the actors who can prevent, challenge, or remedy failure....
Research Article
A Modified IRS Channel Model for MIMO Optical Wireless Communications with Geometric Constraints and Alignment Errors
Optical wireless communication (OWC) has emerged as a promising technology for high-speed indoor wireless access. Recently, mirror-based intelligent reflecting surface (IRS) has been introduced to OWC to enhance communication performance. However, traditional radio frequency IRS channel models fail...
Research Article
Geochemical Characteristics and Significance of shale Gas Well Flowback Fluid in Zheng’An Block, Guizhou
Analysis of fracturing flowback fluids from 14 shale gas wells across 7 platforms in the Zheng'an block, Guizhou, reveals that the fluids are characterized by high salinity, elevated Na\(^+\) and Cl\(^-\) concentrations, and high levels of chemical oxygen demand (COD) and ammonia nitrogen. Na\(^+\)...
Research Article
Displacement and Pressure Control for Reaming of Blocked Horizontal Shale Gas Wells
Shale gas horizontal wells in the Hongxing Block are challenged by long horizontal sections, narrow annular clearances, well-developed fractures, and the coexistence of lost circulation and wellbore collapse. Complexities such as pipe sticking, pump surging, annular blockage, and cuttings accumulati...
Research Article
A Sensitivity-Driven Inversion Framework for Efficient Calibration of 3D Geomechanical Models: Application to a Shale Reservoir
Accurate in-situ stress characterization is essential for hydraulic fracturing design in shale reservoirs, yet 3D geomechanical model calibration still relies on iterative trial-and-error procedures that are computationally intensive and physically opaque. Sensitivity analysis, though widely used to...
Research Article
Ensemble Model with BERT, RoBERTa and XLNet for Molecular Property Prediction
Molecular property prediction is a fundamental task in drug discovery and materials science, yet most high-performing approaches depend on large-scale pretraining that demands substantial computational resources. This work proposes a pretraining-free ensemble framework that trains multiple Transform...