Mechanisms of clay mineral-induced targeted deposition and synergistic CO2 sequestration potential in the CCUS-EOR process.

Background: Strongly water-sensitive reservoirs with high clay content face challenges in conventional development due to clay swelling and impeded seepage. CO2 injection shows potential for enhanced oil recovery (EOR) and carbon sequestration; however, the role of clay minerals in regulating CO2-induced asphaltene deposition and sequestration remains unclear.

Methodology: We conducted experiments on clay-oil interactions, nuclear magnetic resonance (NMR), measurements of crude oil properties, and long core water flooding tests to evaluate deposition, reservoir damage, and CO2 sequestration.

Exploring gender-related clinical and immunological profiles in Sjögren's disease in a Chinese cohort.

Background: Sjӧgren's disease (SjD) is a complex and heterogeneous disease with female predominance. However, gender-related differences in the clinical and immunological profiles of SjD patients have not been fully explored, especially after adjusting for confounding factors such as age and disease duration. This study aims to investigate these gender-specific differences in a Chinese cohort.

Multi-Objective CFD Optimization of an Intermediate Diffuser Stage for PediaFlow Pediatric Ventricular Assist Device.

Background: Computational fluid dynamics (CFD) has become an essential design tool for ventricular assist devices (VADs), where the goal of maximizing performance often conflicts with biocompatibility. This tradeoff becomes even more pronounced in pediatric applications due to the stringent size constraints imposed by the smaller patient population. This study presents an automated CFD-driven shape optimization of a new intermediate diffuser stage for the PediaFlow pediatric VAD, positioned immediately downstream of the impeller to improve pressure recovery.

CO₂ dissolution-diffusion in clay inhibitor/oil systems and synergistic CCUS-EOR effects in strongly water-sensitive reservoirs.

This study targeted a highly water-sensitive reservoir with high clay content (average 23.87%, mainly montmorillonite and illite), where waterflooding development induces hydration swelling of clay minerals, leading to pore-throat narrowing. The anti-swelling system and CO₂ were found to mitigate this phenomenon.

Multi-objective CFD optimization of an intermediate diffuser stage for PediaFlow pediatric ventricular assist device.

Background: Computational fluid dynamics (CFD) has become an essential design tool for ventricular assist devices (VADs), where the goal of maximizing performance often conflicts with biocompatibility. This tradeoff becomes even more pronounced in pediatric applications due to the stringent size constraints imposed by the smaller patient population. This study presents an automated CFD-driven shape optimization of a new intermediate diffuser stage for the PediaFlow pediatric VAD, positioned immediately downstream of the impeller to improve pressure recovery.

Design of a dynamic trust management and defense decision system for shared vehicle data based on blockchain and deep reinforcement learning.

Trust management in shared vehicle data systems presents significant challenges, necessitating innovative approaches. A data analysis system integrating blockchain-based distributed trust management with deep reinforcement learning (DRL) is introduced to address these issues. The proposed system includes two core components: (1) User Trust Evaluation Model: Bayesian statistical methods are employed to estimate user credibility, utilizing historical interaction records as prior information.

Intelligent data-driven system for mold manufacturing using reinforcement learning and knowledge graph personalized optimization for customized production.

Traditional manufacturing models are heavily dependent on standardized processes, which makes it challenging to accommodate customized production needs. To address this limitation, this study presents an optimized mold digitalization system grounded in knowledge engineering. The proposed system integrates knowledge graphs with intelligent algorithms to support the development of a smart quality control framework tailored to personalized manufacturing.

Constructing a knowledge graph-driven intelligent data-enabled design system for mold using deep semantic understanding and intelligent decision support.

To address the inefficiency and high error rates in traditional methods for handling complex design processes in modern mold design, this study proposes a Knowledge Graph-driven Intelligent Data-enabled Design System for molds. Initially, deep semantic understanding techniques are employed to intelligently parse a large volume of mold design documents and data. Using Bidirectional Encoder Representations from Transformers (BERT) and Random Forest (RF) algorithms, key information and knowledge points are accurately extracted from the design documents, laying a solid foundation for constructing the knowledge graph.

Fine mapping of stripe rust resistance gene YrAn1589 in common wheat using Wheat660K SNP array and BSR-Seq.

A new stripe rust resistance gene YrAn1589 in Chinese wheat Annong1589 was mapped to a 160.9-166.6 kb interval on chromosome arm 3BL and co-segregated with a marker CAPS9 developed from candidate gene TraesCS3B03G1054600.

Impact of disease duration on systemic clinical profile in Sjogren's syndrome.

Background: Primary Sjogren's Syndrome (pSS) is a systemic autoimmune disorder characterized by lymphocyte infiltration of the exocrine glands. Disease duration plays a pivotal role in evaluating the development of SS. In this study, we aimed to clarify the clinical manifestations of pSS across various stages of its progression, thereby offering critical insights for early diagnosis and targeted management strategies for Sjogren's Syndrome.

Study of Phase Separation and Reversibility in CO-Responsive Superamphiphile Microemulsions.

Phase separation of microemulsions occupies a key position in many applications, such as oil recovery, nanomaterial synthesis, and chemical reactions. Achieving an intelligent response is crucial to microemulsion development and application. For this reason, in this study, CO-responsive superamphiphilic molecules were developed as rapidly switchable oil-in-water microemulsions.

Preparation and Characterization of Responsive Cellulose-Based Gel Microspheres for Enhanced Oil Recovery.

As an important means to enhance oil recovery, ternary composite flooding (ASP flooding for short) technology has achieved remarkable results in Daqing Oilfield. Alkalis, surfactants and polymers are mixed in specific proportions and injected into the reservoir to give full play to the synergistic effect of each component, which can effectively enhance the fluidity of crude oil and greatly improve the oil recovery. At present, the technology for further improving oil recovery after ternary composite flooding is not mature and belongs to the stage of technical exploration.

Investigating the Potential of CO Nanobubble Systems for Enhanced Oil Recovery in Extra-Low-Permeability Reservoirs.

Carbon Capture, Utilization, and Storage (CCUS) stands as one of the effective means to reduce carbon emissions and serves as a crucial technical pillar for achieving experimental carbon neutrality. CO-enhanced oil recovery (CO-EOR) represents the foremost method for CO utilization. CO-EOR represents a favorable technical means of efficiently developing extra-low-permeability reservoirs.

Identification of stripe rust resistance gene YrBDT in Chinese landrace wheat Baidatou using BSE-seq and BSR-seq.

A new stripe rust resistance gene YrBDT in Chinese landrace wheat Baidatou was mapped to a 943.6-kb interval on chromosome arm 6DS and co-segregated with a marker CAPS3 developed from candidate gene TraesCS6D03G0027300. Stripe rust caused by Puccinia striiformis f.

Study on the Alkali-Free Three-Component Flooding System in the Daqing Oilfield.

ASP flooding is an important method to further improve oil recovery by a large margin. At present, it has entered the stage of industrial application, but there are still problems of scaling in the injection production system and high production maintenance costs. Based on the industrialized mature technology of weak alkali ASP flooding, sodium chloride is used to replace sodium carbonate, and the alkali-free three-component flooding (TC) system in the Daqing Oilfield is developed by mixing with petroleum sulfonate and partially hydrolyzed polyacrylamide.

A convenient protonated strategy for constructing nanodrugs from hydrophobic drug-inhibitor conjugates to reverse tumor multidrug resistance.

Combination therapy has proven effective in counteracting tumor multidrug resistance (MDR). However, the pharmacokinetic differences among various drugs and inherent water insolubility for most small molecule agents greatly hinder their synergistic effects, which makes the delivery of drugs for combination therapy a key problem. Herein, we propose a protonated strategy to transform a water-insoluble small molecule drug-inhibitor conjugate into an amphiphilic one, which then self-assembles into nanoparticles for co-delivery to overcome tumor MDR.

Hybrid Membrane Camouflaged Chemodrug-Gene Nanoparticles for Enhanced Combination Therapy of Ovarian Cancer.

Recently, cell membrane camouflaged nanoparticles (NPs) endowed with natural cellular functions have been extensively studied in various biomedical fields. However, there are few reports about such biomimetic NPs used to codeliver chemodrug and genes for synergistic cancer treatment up to now. Herein, we first prepare chemodrug-gene nanoparticles (Mito-Her2 NPs) by the electrostatic interaction coself-assembly of mitoxantrone hydrochloride (Mito) and human epidermal growth factor receptor-2 antisense oligonucleotide (Her2 ASO).

Numerical Simulation of Component Transfer and Oil Drive of Nonalkali Ternary Emulsion Systems.

So far, alkali/surfactant/polymer flooding is widely used in oilfields to improve recovery. However, the introduction of alkali to the ternary composite leads to substantial damage formation, accelerates the scaling and corrosion loss in all aspects of surface injection and recovery, and consequently increases the cost of oil recovery in the ternary composite drive field. Therefore, environmentally friendly means are in urgent demand.

Study on Green Nanofluid Profile Control and Displacement of Oil in a Low Permeability Reservoir.

Low permeability reservoirs are characterized by low permeability, small pore throat, strong heterogeneity, and poor injection-production ability. High shale content of the reservoir, strong pressure sensitivity, micropore undersaturation, and significant water-lock effect in water injection development lead to increased fluid seepage resistance. There is an urgent need to adopt physical and chemical methods to supplement energy and improve infiltration efficiency, thereby forming effective methods for increasing the production and efficiency.

Performance Evaluation and Action Mechanism Analysis of a Controllable Release Nanocapsule Profile Control and Displacement Agent.

With the acceleration in oilfield developments, reservoir advantage channels have been gradually developed. This has led to ineffective circulation in the oilfield injection system and a significant decrease in production. The profile control and displacement technology of low-permeability and heterogeneous reservoirs are in urgent need of updating.

Fine Mapping of Stripe-Rust-Resistance Gene in Common Wheat by BSR-Seq and MutMap-Based Sequencing.

Identification and accurate mapping of new resistance genes are essential for gene pyramiding in wheat breeding. The gene is a dominant stripe-rust-resistance gene located at the distal end of chromosome 2AL, which was identified in a leading Chinese-wheat variety, Jimai 22, showing high resistance to CYR32, a prevalent race of () in China. In the current study, 15 F and 2273 F plants derived from the cross of Jimai 22/Avocet S were used for the fine-mapping of .

Fine mapping of a stripe rust resistance gene YrZM175 in bread wheat.

A stripe rust resistance gene YrZM175 in Chinese wheat cultivar Zhongmai 175 was mapped to a genomic interval of 636.4 kb on chromosome arm 2AL, and a candidate gene was predicted. Stripe rust, caused by Puccinia striiformis f.

Research on Percolation Characteristics of a JANUS Nanoflooding Crude Oil System in Porous Media.

According to the research status of low-permeability reservoir development, in order to find an intelligent and efficient displacement method, a Janus smart nanocapsule (embedding nanomaterials with surfactant function into the polymer) is developed in this paper. There are two kinds of phase fluids in the migration of porous media, the initial Janus intelligent microcapsule slow-release liquid (dissolved and undissolved AP-g-PNIPAAM and Janus functional particle ternary dispersion) and the later AP-g-PNIPAAM and Janus functional particle binary dispersion. Comprehensively, using the indoor oil displacement experiment, the seepage characteristics of the Janus smart nanocapsule (JSNC) in porous media are studied, and their macro and micro oil displacement mechanisms are revealed.

Biological Process of Alkane Degradation by .

With the development of the petroleum industry, oil pollution has become widespread. It is harmful to the digestive, immune, reproductive, and nervous systems of fishes, wild animals, and humans, causing severe threats to ecological safety and human health. has increasingly attracted attention in the treatment of alkane pollution for its outstanding performance against hydrophobic refractory substances.

Study on Numerical Simulation for Component Transportation and Oil Displacement of a Microbial System.

Component transportation is one of the main mechanisms for numerical simulation in microbial oil recovery. However, the research on the component transportation considering the inhibition of metabolites is very limited. A mathematical model of oil displacement in a microorganism system including microbial growth and metabolism equation, component transport equation, and porous media physical property variation equation was established in this paper.