Observation of O Molecules Inserting into Fe-H Bonds in a Ferrous Metal-Organic Framework.

Exploring the interactions between oxygen molecules and metal sites has been a significant topic. Most previous studies concentrated on enzyme-mimicking metal sites interacting with O to form M-OO species, leaving the development of new types of O-activating metal sites and novel adsorption mechanisms largely overlooked. In this study, we reported an Fe(II)-doped metal-organic framework (MOF) [FeZnH(bibtz)] (, Hbibtz = 1,1'-5,5'-bibenzo[][1,2,3]triazole), featuring an unprecedented tetrahedral Fe(II)HN site.

Biomaterial Surface-Mediated Macrophages Exert Immunomodulatory Roles by Exosomal CCL2-Induced Membrane Integrin β1 Trafficking in Recipient Cells.

The interaction between biomaterials and immune system is a critical area of research, especially in tissue engineering and regenerative medicine. A fascinating and less explored aspect involves the immunomodulatory behaviors of macrophage (MΦ)-derived exosomes induced by biomaterial surfaces. Herein, untreated surface, nanostructured surface, and type I collagen (Col-I)-decorated nanostructured surface of titanium implants are chosen to culture MΦs, followed by extraction of MΦ-derived exosomes and investigation of their immunomodulatory functions and mechanisms.

A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study.

Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.

Excavating trajectory planning of electric shovel based on dynamic excavating volume prediction.

Mining electric shovels are one of the core equipments for open-pit mining, and are currently moving towards intelligent and unmanned transformation, with intelligent mining instead of traditional manual operation. In the excavation operation process, due to the complexity and changeability of the material surfaces, different excavation strategies should be adopted to achieve the optimal excavation trajectory. It is an important research direction to realize the unmanned excavation of electric shovels by studying a trajectory planning method that is not limited to fixed resting angle surface, can comprehensively consider the type of material surfaces and aim at the minimum excavation energy consumption per unit volume.

Combination of Fe-O Species and Fe-O-Zr Bonds Empowers FeO Nanoclusters Anchored on UiO-66 Robust HS-Selective Catalytic Oxidation Performance.

The low sulfur selectivity of Fe-based HS-selective catalytic oxidation catalysts is still a problem, especially at a high O content. This is alleviated here through anchoring FeO nanoclusters on UiO-66 via the formation of Fe-O-Zr bonds. The introduced FeO species exist in the form of Fe and Fe.

An emodin-mediated multifunctional nanoplatform with augmented sonodynamic and immunoregulation for osteomyelitis therapy.

Emodin (ED), as a traditional Chinese medicine, possesses a variety of biological activities and is also one of natural sonosensitizer. Whether emodin could react with titanium dioxide to enhance the sonodynamic activity for safely treating osteomyelitis remains to be explored. Hence, an ED-conjugated Mn-doped titanium dioxide (TOM) nanorod array is designed and prepared on titanium to eliminate bacterial infections under ultrasound (US) treatment.

An MIL-53(FeNiCo) decorated BiVO photoanode for efficient photoelectrochemical water oxidation.

BiVO is considered as one of the important candidate materials for photoelectrochemical water splitting technology. However, the low efficiency of charge separation and poor kinetics of water oxidation limit its performance in PEC water splitting. In this work, a BiVO/MIL-53(FeNiCo) photoanode was constructed by a facile hydrothermal deposition method, exhibiting excellent water oxidation ability under AM 1.

First-principles study of CO and HO adsorption on the anatase TiO(101) surface: effect of Au doping.

Photocatalytic reduction of CO will play a major role in future energy and environmental crisis. To investigate the adsorption mechanisms of CO and HO molecules involved in the catalytic process on the surface of anatase titanium dioxide 101 (TiO(101)) and the influence of Au atom doping on their adsorption, first-principles density functional theory calculations were used. The results show that 1.

Cu-EAB zeolite catalyst: A promising candidate with excellent SO poisoning resistance for NH-SCR reaction.

In this work, we synthesized Cu-EAB catalysts with an EAB topology for the NH-SCR of NO and evaluated their resistance to SO poisoning for the first time. The Cu-EAB catalyst showed superior NO conversion and selectivity for N, along with a notable tolerance to high space velocities and SO, outperforming the commercial Cu-CHA catalyst. This enhanced resistance was attributed to the Cu species formation at the 2.

Activating discharge and inhibiting self-corrosion by adding indium to the anode of Mg-air battery.

Self-corrosion and low practical voltage of anodes severely limit the usage of Mg-air batteries. Although many elements, including indium (In), have been used to enhance the discharge characteristics of Mg anodes, unclear mechanism of the action of a single element and lack of research on binary alloys as anodes have restricted the development of Mg-air batteries. Herein, Mg-In ( = 0.

Study on the law of air leakage in goaf under the influence of double-series coal seam mining.

In order to solve the engineering problem of a large amount of wind leakage in the 8106 comprehensive mining working face of the Carboniferous System under the influence of overlapping mining of two coal seams in Yongdingzhuang Mine, Datong Mining Area, this paper utilizes finite element numerical simulation software to study the wind leakage characteristics of the 8106 working face and the distribution range of the spontaneous combustion "three zones" of the mining area. The results show that, under the condition of external air leakage, the internal pressure of the goaf is greater than the external pressure, the upper pressure is greater than the lower pressure, and the seepage direction is from the top down and from the inside out. Under the condition of no external air leakage, the air leakage source is mainly concentrated in the air inlet lane.

Highly sensitive temperature sensors based on the fluorescence intensity ratio of dual-emissive lead-free metal halides.

Given that optical thermometers are widely used due to their unique advantages, this study aims to address critical challenges in existing technologies, such as insufficient sensitivity, limited temperature measurement ranges, and poor signal recognition capabilities. Herein, we develop a thermometer based on the fluorescence intensity ratio (FIR) of Sb-doped CsNaInCl (CsNaInCl:Sb). As the temperature increases from 203 to 323 K, the thermally induced transition from triplet to singlet self-trapped excitons (STEs) leads to enhanced 455 nm photoluminescence (PL) from singlet STE recombination.

A Lewis basic site rich metal-organic framework featuring a hydrogen-bonded acetylene nano-trap for the efficient separation of CH/CO.

The physical separation of CH from CO on metal-organic frameworks (MOFs) has received a substantial amount of research interest due to its advantages of simplicity, security, and energy efficiency. However, the exploitation of ideal MOF adsorbents for CH/CO separation remains a challenging task due to their similar physical properties and molecular sizes. Herein, we report a unique CH nano-trap constructed using accessible oxygen and nitrogen sites, which exhibits energetic favorability toward CH molecules.

Advances of immunosensors based on noble metal composite materials for detecting procalcitonin.

Procalcitonin (PCT) is a reliable biomarker for diagnosing and monitoring bacterial infections and sepsis. PCT exhibits good stability both in vivo and in vitro, and its levels drastically increase in response to bacterial infection or inflammatory reactions in the human body, making it a dependable indicator for sepsis diagnosis and monitoring with significant implications for clinical diagnosis and treatment guidance. Currently, immunosensors are widely utilized in PCT detection due to their high sensitivity and low detection limits.

Driving brain state transitions via Adaptive Local Energy Control Model.

The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.

A PDMS/chitosan/MPMs composite film based on multi-field coupling enhancement for African swine fever virus P72 protein detection.

African swine fever (ASF) is an acute hemorrhagic disease in pigs caused by the African swine fever virus (ASFV), which has a high mortality rate and brought great damage to global pig farming industry. At present, there is no effective treatment or vaccine to combat ASFV infection, so early detection of ASFV has become particularly important. Therefore, the PDMS/chitosan/MPMs composite film was proposed to detect ASFV P72.

Liquid Metal Elastomer-Based U-Shaped Electrode Flexible Strain Sensors with Enhanced Stability and Sensitivity.

Soft and stretchable strain sensors are crucial for applications in human-machine interfaces, flexible robotics, and electronic skin. Among these, capacitive strain sensors are widely used and studied; however, they face challenges due to material and structural constraints, such as low baseline capacitance and susceptibility to external interference, which result in low signal-to-noise ratios and poor stability. To address these issues, we propose a U-shaped electrode flexible strain sensor based on liquid metal elastomer (LME).

CTHNet: A CNN-Transformer Hybrid Network for Landslide Identification in Loess Plateau Regions Using High-Resolution Remote Sensing Images.

The Loess Plateau in northwest China features fragmented terrain and is prone to landslides. However, the complex environment of the Loess Plateau, combined with the inherent limitations of convolutional neural networks (CNNs), often results in false positives and missed detection for deep learning models based on CNNs when identifying landslides from high-resolution remote sensing images. To deal with this challenge, our research introduced a CNN-transformer hybrid network.

Photovoltaic Array Fault Diagnosis and Localization Method Based on Modulated Photocurrent and Machine Learning.

Photovoltaic arrays are exposed to outdoor conditions year-round, leading to degradation, cracks, open circuits, and other faults. Hence, the establishment of an effective fault diagnosis system for photovoltaic arrays is of paramount importance. However, existing fault diagnosis methods often trade off between high accuracy and localization.

Experimental Study on Seismic Performance of Dovetail Profiled Steel Concrete Composite Shear Walls with Self-Tapping Screw Connections.

To achieve the assembled connection between dovetail profiled steel sheets and the boundary members in dovetail profiled steel concrete composite shear walls (DPSCWs), self-tapping screws were employed. Three DPSCW specimens connected with self-tapping screws were tested under combined axial and cyclic lateral loads to evaluate their hysteretic response, focusing on the influence of the number of self-tapping screws and the axial compression ratio. The self-tapping screw-connected DPSCWs exhibited a mixed failure mode, characterized by shear failure of the profiled steel sheets and compression-bending failure of multiple wall limbs divided by ribs on the web concrete.

Stable RuIr Nanoalloy Catalyst for Levulinic Acid Hydrogenation Reaction.

Hydrogenation of levulinic acid (LA) represents a significant approach for producing the high-value biomass-based platform compound γ-valerolactone (GVL). In this study, an efficient RuIr alloy bimetallic catalyst supported on SiC was synthesized and applied for the aqueous hydrogenation of LA into GVL under mild conditions. The RuIr/SiC catalyst exhibited high LA conversion and GVL selectivity (both > 99%) in water at 0.

Toward one-step As(III) removal in ultrafiltration with in situ BioMnO cake layer: Mechanism and feasibility insights.

Inorganic arsenic (As) is one of the most significant chemical contaminants in drinking water worldwide. Although membrane-based technologies are commonly used for As removal, they often encounter challenges including complex operation, high energy consumption, and the need for chemical addition. To address these challenges, we proposed a one-step ultrafiltration (UF) process empowered by in situ biogenic manganese oxides (BioMnO) cake layers without any additional chemicals, to treat source water contaminated with both As and manganese (Mn).

Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

Amid an aging global population, heart failure has become a leading cause of hospitalization among older people. Its high prevalence and mortality rates underscore the importance of accurate mortality prediction for swift disease progression assessment and better patient outcomes. The evolution of artificial intelligence (AI) presents new avenues for predicting heart failure mortality.

Interface Mechanism of Promoting Low-Rank Coal Flotation by Characteristic Groups in Hydrophilic Moieties of Cationic-Anionic Surfactants.

Flotation is an interfacial process involving gas, liquid, and solid phases, where polar ionic promoters significantly influence both gas-liquid and solid-liquid interfaces during low-rank coal (LRC) flotation. This study examines how the structures of hydrophilic groups in cation-anion mixed promoters affect the interfacial flotation performance of LRC pulp using flotation tests, surface tension tests, wetting heat tests, and molecular dynamics simulations. Results indicate that cation-anion mixed promoters enhance the LRC floatability to varying degrees.

Enhanced Near-Infrared Fluorescence Emission near a Graphene-Metal Hybrid Structure.

Plasmon resonance plays an important role in improving the detection of biomolecules, and it is one of the focuses of research to use metal plasmon resonance to achieve fluorescence enhancement and to improve detection sensitivity. However, the problems of nondynamic tuning and fluorescence quenching of metal plasmon resonance need to be solved. Graphene surface plasmon resonance can be dynamically controlled, and the graphene adsorption of fluorescent molecules can avoid fluorescence quenching and greatly improve the fluorescence emission intensity.