Multi-mode mobile mechanism based on anti-parallelogram and parallelogram mechanisms.

Multi-link mechanisms can adapt to different terrains through deformation, and have certain advantages in terrain adaptability and obstacle overcoming. Therefore, this paper designs a kind of multi-mode mobile mechanism with multi-link based on two anti-parallelogram mechanism units and two parallelogram mechanism units. Firstly, the morphological change characteristics of parallelogram mechanism unit and anti-parallelogram mechanism unit are analyzed, and then obtain the construction method of the multi-mode mobile mechanism.

CO mineralization induced by non-urea heterotrophic microorganisms: investigation of CO sequestration and mineralization mechanisms.

Carbon capture and sequestration is an effective measure to achieve China's major strategies of carbon peak and carbon neutrality, of which bio-mineralization is an important pathway. Our previous study discovered the microbial mineralization and dust suppression effect based on carbonic anhydrase (CA) in Sporosarcina pasteurii. Based on this, this study further explored the importance of Sporosarcina pasteurii in carbon sequestration by altering CO concentration.

Genome-wide analysis of KCS family in Medicago reveals MsKCS5's crucial role in abiotic stress adaptation.

Bioinformatics analysis identified 46 KCS genes in two Medicago species, linking their function to abiotic stresses with MsKCS5 enhancing yeast stress viability. The β-ketoacyl-CoA synthase (KCS) family, encoding pivotal rate-limiting enzymes for very-long-chain fatty acid biosynthesis, plays an indispensable role in plant cuticular wax formation. These hydrophobic layers constitute vital physical barriers that prevent water loss and pathogen penetration while simultaneously participating in stress signal transduction.

The driving role of extracellular polymeric substances in the bioelectrical conversion of petroleum hydrocarbons by rhizosphere microbial fuel cells: bioelectricity production, substrate bioconversion, microbial function and their network correlation.

Extracellular polymeric substances (EPS), are crucial components of biofilms that drive the bioelectrical conversion of petroleum hydrocarbons (PHCs), but their role has not been adequately addressed. This research explores the driving role of EPS in bioelectrical PHC conversion by rhizosphere microbial fuel cells (MFCs). We found that current density, output voltage, coulombic efficiency, power density, current stabilization time, metabolite volatile fatty acid (VFA) production and PHC biodegradation ratio initially increased and then decreased with rising initial EPS level (0-128 mg·g), peaking at 64 ± 1 mA·m, 8.

Insights into the Adsorption of Carbon Dioxide in Zeolites ITQ-29 and 5A Based on Kinetic Measurements and Molecular Simulations.

Understanding the adsorption mechanism is essential for developing efficient technologies to capture carbon dioxide from industrial flue gases. In this work, laboratory measurements, density functional theory calculations, and molecular dynamics simulations were employed to study CO adsorption and diffusion behavior in LTA-type zeolites. The CO adsorption isotherms measured in zeolite 5A are best described by the Toth model.

Identifying key risk factors for Chinese international students: a hybrid AHP-DEMATEL-cross-reinforcement matrix approach with policy implications.

Chinese students usually face risks from various aspects in the process of studying abroad. The use of the analytic hierarchy process alone ignores the interplay between the influencing factors and lacks systematic thinking about the identification of key influencing factors due to the intricacies of the factors affecting and constraining these risks. Therefore, we utilize the DEMATEL method and cross-reinforcement matrix to improve the weights obtained from AHP and to enhance the accuracy and scientific rigor of the weight vectors.

DGEAHorNet: high-order spatial interaction network with dual cross global efficient attention for medical image segmentation.

Medical image segmentation is a complex and challenging task, which aims to accurately segment various structures or abnormal regions in medical images. However, obtaining accurate segmentation results is difficult because of the great uncertainty in the shape, location, and scale of the target region. To address these challenges, we propose a higher-order spatial interaction framework with dual cross global efficient attention (DGEAHorNet), which employs a neural network architecture based on recursive gate convolution to adequately extract multi-scale contextual information from images.

Mining-induced disaster mechanism and stress adjustment technology of deep buried weakly cemented overburden.

Under the typical condition of deep buried weakly cemented overburden, the mining roadway is affected by strong mining stress and high ground stress, its stress environment is complicated, and the disaster behaviors are severe. In this study, the mining disaster behaviors and stress distribution characteristics under this condition are obtained by taking No. 130608 return air roadway of a deep buried weakly cemented overburden mine as the engineering background.

Composite dust suppression material of fish scale based chitosan intercalated MMT: Synthesis process, performance parameters, and mechanism of action.

The exposure of petroleum coke to wind in open-air petroleum coke stockpiles results in dust pollution, adversely impacting the local ecosystem and public health. To address the inadequate wetting properties of water spray dust suppression technology for petroleum coke, which is prone to volatilization and secondary dust generation, a new durable dust suppression material with enhanced wetting capabilities and the capacity to create a solidified shell, CTS-CN/MMT, has been developed. This dust suppression material is synthesized by extracting chitosan (CTS) from discarded fish scales, reacting it with cinnamaldehyde to create a Schiff base (CTS-CN), and subsequently polymerizing it with montmorillonite (MMT).

AMOTS: Partially supervised framework for abdominal multi-organ and tumor segmentation via aspect-aware complementary.

Achieving precise segmentation of the abdominal multi-organ and pan-cancer tumors is crucial for disease diagnosis and treatment planning in clinical fields such as surgery and radiotherapy. However, the diversity of abdominal organs and tumor types, as well as partially labeled datasets, significantly increases the difficulty in training and improving segmentation accuracy. While existing methods attempt to focus on the segmentation of multiple organs and lesions simultaneously, they mainly concentrate on addressing the issue of missing labels but do not simultaneously consider improvements at the network level.

Potential of solar-induced chlorophyll fluorescence for monitoring long-term dynamics of soil salinity in Central Asia the Xinjiang Region China.

Introduction: Soil salinization in Central Asia and Xinjiang, China, poses serious threats to agriculture and ecosystems. Solar-induced chlorophyll fluorescence (SIF), which reflects plant photosynthetic status and stress, shows promise for monitoring salinity but remains underutilized in this region.

Methods: This study integrated SIF-derived indices (SIFI) with soil salinity data to build a region-specific prediction model.

Research on the suitability and resilience enhancement of coastal development based on the "three-living spaces".

Based on multi-dimensional observation data from the coastline of Jiaozhou Bay, this study adopts the perspective of spatial equilibrium in development and utilization activities and introduces the concept of "three-living spaces." It comprehensively considers the requirements for production, living, and ecological protection to construct an evaluation index system for the suitability of coastal resource and environmental development. Using ArcGIS spatial analysis, the study evaluates the suitability of various sections of the coastline for production and ecological purposes, as well as sub-indicators.

Influencing factors of maternal online health information-seeking behavior.

Introduction: As an important social group, mothers possess unique physiological and psychological characteristics. They may rely on Internet sources for obtaining health information about themselves and their children.

Methods: Based on the Elaboration Likelihood Model (ELM) and Technology Acceptance Model (TAM), the influencing factors model of maternal online health information searching behavior is constructed.

Research on Coal Mine Gas Microbial Degradation Device Based on Charcoal Filling Material.

Microbiological methods are a new means of environmentally friendly and efficient methane treatment in coal mines. However, traditional microbial processes have a short action time and low degradation efficiency in local methane treatment. For this reason, a novel hierarchical enhanced contact microbial reaction apparatus (HECMRA) was designed and developed in this study.

A Molecular Simulation Model for Kerogen Reconstruction and Methane Adsorption under Slickwater Exposure.

This study investigates the effect of polyacrylamide (PAM), a key additive in fracturing fluids, on methane (CH) adsorption in kerogen. An average molecular model of kerogen was constructed based on outcrop shale from the Longmaxi reservoirs in the Sichuan Basin, China. The model was established using organic elemental analysis, X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR), and carbon-13 nuclear magnetic resonance (C NMR).

Activating inert copper hydroxide by coordination effect of stoichiometric nitrate for efficient hydrogen evolution reaction.

The hydrogen evolution reaction (HER) process of metal hydroxides is significantly limited by weak hydrogen adsorption and requires a large overpotential. This study presents coordination engineering strategy to activate inert copper hydroxide through the introduction of stoichiometric nitrate ligands (CuHN). Nitrate and Cu are coordinated in an atomic ratio of 1 to 2, leading to expanded lattice space compared to conventional Cu hydroxide.

The design of copper flotation process based on multi-label classification and regression.

The intelligent design of copper flotation processes is an important means for improving resource utilization and reducing costs in the current mining industry. In our previous study, the flotation process design is split into the backbone process design and the cleaning and scavenging process design. The copper flotation backbone process design was transformed into multi-label classification, and it was found that applying label correlation and domain knowledge to multi-label classification could significantly improve the precision of backbone process design.

Wavelength selection methods for NIR calibration in petrochemicals: Status, characteristics, and scenarios analysis.

Wavelength selection is the crucial step in constructing a near-infrared (NIR) quantitative analysis model, which plays a crucial role in addressing the curse of dimensionality. Effective wavelength selection eliminates redundant and irrelevant wavelengths, significantly improving the speed and efficacy of data analysis. Given the complexity and collinearity of the spectral data from petrochemical products, numerous wavelength selection methods have been proposed to address the issue of dimensionality.

Study on dynamic and static load characteristics and rockburst induced mechanism under the influence of fault.

The fault slip type rockburst has the characteristics of large impact range, strong suddenness, and severe impact manifestation. Its influencing factors are numerous; the triggering mechanism is complex, so it seriously threatens the safety production of coal mines. This article adopts the method of numerical simulation to Liang Baoshi Coal Mine 3301 working face mining thick coal seam through fault as engineering background, based on the dynamic analysis module, put forward the "fault formation - mining induced fault slip - dynamic response of stope" whole process numerical simulation method, carry out the fault affected zone of dynamic and static load characteristics and mechanism of rockburst induced is studied.

Method and experimental verification of spatial attitude prediction for an advanced hydraulic support system under mining influence.

The mining roadways of fully mechanized mining faces are susceptible to complex disturbances, leading to deformation of the surrounding rock, breaking the mechanical balance of the advanced support section of the mining roadway, and potential roof safety incidents and equipment damage. Accurate prediction of the spatial attitude of the advanced hydraulic support group can provide a foundation for dynamically adjusting the spatial attitude to accommodate the deformation of the roadway's surrounding rock. The selection of training parameters in the conventional Long Short-Term Memory (LSTM) network is often random and involves a significant amount of effort, which further limits prediction accuracy and real-time performance.

Glycolic Acid Ethoxylate Oleyl Ether Hydrogel Reinforced by 2D Layered Metal Carbide: A Potential Lubricant.

This study investigates the rheological and tribological properties of HO/glycolic acid ethoxylate oleyl ether (HO/Oleth10) and 2D layered metal carbide aqueous/Oleth10 (MXene/Oleth10) hydrogels for lubrication applications. Notably, this work reports the first MXene-reinforced Oleth10 hydrogel, demonstrating how nanomaterial-surfactant synergy enables adaptive lubrication with 200% rheological enhancement and 35% friction reduction. Both hydrogels were characterized as non-Newtonian fluids with grease-like semisolid behavior, governed by hydrogen bonding and weak physical interactions.

Automatic identification and characteristics analysis of crack tips in rocks with prefabricated defects based on deep learning methods.

In complex geological environments, the morphology, orientation and distribution characteristics of cracks in the rock directly affect the stability assessment for rock masses and engineering safety decisions. However, the traditional manual interpretation method is inefficient and influenced by subjective factors, which makes it tough to fulfill the requirements for high-precision and automated detection. Especially in the rock specimen analysis of prefabricated multi-angle cracks, image quality and algorithm adaptability have emerged as the critical bottlenecks restricting the identification accuracy.

Homogeneously-Dimensionalizing Perovskite Surface by Dual-Mechano-Chemical Regulation for Efficient Solar Cells.

Precise manipulation on surface dimensionality benefits the improvement of efficiency and stability of perovskite solar cells, however, heterogeneity with the presence of substantial atomic-scale impurities and micro-wrinkles on perovskite surface that serve as transformation template challenges the formation of homogeneous heterointerface and thus weakens healing efficacy. To address this issue, herein, we propose a dual-mechano-chemical strategy is proposed to homogenize the morphologic-compositional feature of perovskite surface by first polishing superficial nano-impurities with energetic nanoparticles and then in situ dimensionalizing the defect-free lattice to form a 2D/3D heterointerface with strengthened contact and homogeneous distribution. With the implement of this strategy, the reconstructed heterointerface not only accelerates charge transfer with minimized interfacial non-radiative recombination losses, but also protects perovskite lattice from external attack.

The utilization of TGase-crosslinked phycocyanin-collagen hydrogels for the purpose of facilitating skin wound healing.

Conventional collagen hydrogels face limitations such as residual toxicity from chemical cross-linkers (e.g., glutaraldehyde), inadequate antioxidant capacity, and poor permeability.