A two-stage deep learning-based hybrid model for daily wind speed forecasting.

Global adoption of wind energy continues to increase, while improving the efficiency of turbine settings requires reliable wind speed (WS) models. The latest models rely on artificial intelligence (AI) optimizations which constructs tests on a range of novel hybrid models to examine the reliability. Gradient Boosting (GB), Random Forest (RF), and Long Short-Term Memory (LSTM) are used in new combinations for data pre-processing.

Study on the mechanical properties and failure mechanism of a multi-lithologic layered rock mass.

The mechanical properties of multi-lithologic reservoir rock masses are complex, and the failure mechanism is not clear. This research belongs to the field of oil and gas exploration and development. Brazilian splitting, and digital image correlation (DIC) tests were performed to study the mechanical properties and failure mechanism of assemblages containing sandstone, shale, and limestone.

Altered brain functional connectivity in patients with tension-type headache.

Objective: To evaluate whether patients with tension-type headache (TTH) exhibit abnormal brain functional connectivity compared to healthy controls.

Background: TTH is one of the most prevalent headache disorders throughout the world. The present study delves into brain functional connectivity in patients with TTH to enhance the understanding of its underlying pathophysiology.

Enhanced Electrocatalytic Hydrogen Peroxide Production via a CuWO/WO Heterojunction with High Selectivity and Stability.

The electrocatalytic conversion of oxygen to hydrogen peroxide offers a promising pathway for sustainable energy production. However, the development of catalysts that are highly active, stable, and cost-effective for hydrogen peroxide synthesis remains a significant challenge. In this study, a novel polyacid-based metal-organic coordination compound (Cu-PW) was synthesized using a hydrothermal approach.

Tailoring Metal-Organic Frameworks for One-Step Separation of Alkane/Alkene/Alkyne Mixtures.

The purification of polymer-grade (>99.9%) olefins (mostly C2 and C3) represents a significant yet challenging process in petrochemical industry. The commonly employed method for hydrocarbon separation involves heat-driven distillations.

WS/MHS PdTe/Si Mixed-Dimensional Heterojunction as Ultra-Broadband Photodetector for Health and Safety Monitoring.

Ultra-broadband photodetectors (UB-PDs) are essential in medical applications, public safety monitoring, and various other fields. However, developing UB-PDs covering multiple bands from ultraviolet to medium infrared remains a challenge due to material limitations. Here, a mixed-dimensional heterojunction composed of 2D WS/monodisperse hexagonal stacking (MHS) 3D PdTe particles on 3D Si is proposed, capable of detecting light from 365 to 9600 nm.

Influence of the Transducer-Mounting Method on the Radiation Performance of Acoustic Sources Used in Monopole Acoustic Logging While Drilling.

Transducers used in acoustic logging while drilling (ALWD) must be mounted on a drill collar, and their radiation performance is dependent on the employed mounting method. Herein, the complex transmitting voltage response of a while-drilling (WD) monopole acoustic source was calculated through finite-element harmonic-response analysis. Subsequently, the acoustic pressure waveform radiated by the source driven by a half-sine excitation voltage signal was calculated using the complex transmitting voltage response.

Bio-Inspired Algorithms for Efficient Clustering and Routing in Flying Ad Hoc Networks.

The high mobility and dynamic nature of unmanned aerial vehicles (UAVs) pose significant challenges to clustering and routing in flying ad hoc networks (FANETs). Traditional methods often fail to achieve stable networks with efficient resource utilization and low latency. To address these issues, we propose a hybrid bio-inspired algorithm, HMAO, combining the mountain gazelle optimizer (MGO) and the aquila optimizer (AO).

Effect of Extensive Solar Ultra-Violet Irradiation on the Durability of High-Density Polyethylene- and Polypropylene-Based Wood-Plastic Composites.

The natural and laboratory-accelerated weathering of wood-plastic composites (WPCs) based on high-density polyethylene (HDPE) and polypropylene (PP) plastics was investigated in this study. Injection molded samples of WPCs with different loadings of wood fiber ranging from 0 to 36 wt.% of wood were subjected to laboratory-accelerated weathering and natural weathering.

Designer topological-single-atom catalysts with site-specific selectivity.

Designing catalysts with well-defined, identical sites that achieve site-specific selectivity, and activity remains a significant challenge. In this work, we introduce a design principle of topological-single-atom catalysts (T-SACs) guided by density functional theory (DFT) and Ab initio molecular dynamics (AIMD) calculations, where metal single atoms are arranged in asymmetric configurations that electronic shield topologically misorients d orbitals, minimizing unwanted interactions between reactants and the support surface. Mn/CeO catalysts, synthesized via a charge-transfer-driven approach, demonstrate superior catalytic activity and selectivity for NO removal.

Bio-concentration of hazardous metals in migrant shorebirds in a key conservation reserve and adjoining areas on the west coast of India.

Heavy metal pollution is a growing environmental concern as it causes the degradation of wetlands by affecting the organisms at different trophic levels. Shorebirds typically feed on benthic invertebrates including polychaete worms, crustaceans and molluscs. Thus, the assessment of bioconcentration of heavy metals in shorebirds provides an insight into the extent of bioaccumulation of these hazardous metals in the upper trophic levels.

Self-calibrating temperature sensing strategy based on KBaY(MoO):Pr phosphor luminescence characteristics with excellent relative temperature sensitivity.

Non-contact temperature sensors have gained immense popularity due to their inherent benefits, including the absence of physical interaction with targets and rapid response characteristics. In this work, KBaY(MoO):Pr was successfully synthesized utilizing a high-temperature solid-phase method. Experimental studies have indicated that multi-phonon relaxation (MPR), cross-relaxation (CR), and the unique intervalence charge transfer state (IVCT) exhibited by Pr-Mo contribute to the changes in luminescence properties.

Research progress on surface modification and coating technologies of biomedical NiTi alloys.

NiTi alloys are an important class of biomaterials with extensive clinical applications such as cardiovascular stents, orthodontic arch-wires, esophageal stents, orthopedic implants and more. However, the long-term implantation of NiTi alloys presents significant challenges due to their susceptibility to wear, corrosion and the excessive release of harmful nickel ions. These factors can severely compromise both the biocompatibility and the overall service life of the implants.

Pneumatic conveying inkjet bioprinting for the processing of living cells.

Inkjet printing techniques are often used for bioprinting purposes because of their excellent printing characteristics, such as high cell viability and low apoptotic rate, contactless, commercial availability, and low cost. However, they face some disadvantages, such as the use of bioinks of low viscosity, cell damage due to shear stress caused by drop ejection and jetting velocity, as well as a narrow range of available bioinks that still challenge the inkjet printing technology. New technological solutions are required to overcome these obstacles.

TiO Nanosphere/MoSe Nanosheet-Based Heterojunction Gas Sensor for High-Sensitivity Sulfur Dioxide Detection.

With the growing severity of air pollution, monitoring harmful gases that pose risks to both human health and the ecological environment has become a focal point of research. Titanium dioxide (TiO) demonstrates significant potential for application in SO gas detection. However, the performance of pure TiO is limited.

Preparation and characterization of the octenyl succinic anhydride (OSA) modified sphingan WL gum as novel biopolymeric surfactants.

Combining polymer and surfactant in one agent namely polymeric surfactants with both high viscosity and surface activity has become a viable alternative for the traditional enhanced oil recovery (EOR) processes. With the purpose of developing new polymeric surfactants, the biopolymer flooding agent sphingan WL gum was modified by octenyl succinic anhydride (OSA) through the esterification reaction. The effects of molecular weight (MW) of WL and the OSA: WL ratio on the properties of the products were investigated.

Molecular composition of hydroxyl radical-resistant organics in municipal solid waste leachate.

Although hydroxyl radicals (OH) degrade organic pollutants nonselectively, their mineralization rate during the treatment of waste leachate biological treatment effluent (BTL) using Fenton or Fenton-like systems is not high, and the reason is unknown. In this study, we investigated three typical Fenton-like systems that act on dissolved organic matter (DOM) in BTL. We analyzed the molecular composition of DOM resistant to OH, using ultrahigh resolution mass spectrometry.

Identification of potential MMP-8 inhibitors through virtual screening of natural product databases.

Matrix metalloproteinase-8 (MMP-8), a type II collagenase, is a key enzyme in the degradation of collagens and is implicated in various pathological processes, making it a promising target for drug discovery. Despite advancements in the development of MMP-8 inhibitors, concerns over potential adverse effects persist. This study aims to address these concerns by focusing on the development of novel compounds with improved safety profiles while maintaining efficacy.

Insights into Interlayer Dislocation Augmented Zinc-Ion Storage Kinetics in MoS Nanosheets for Rocking-Chair Zinc-Ion Batteries with Ultralong Cycle-Life.

Increasing attention to sustainability and cost-effectiveness in energy storage sector has catalyzed the rise of rechargeable Zinc-ion batteries (ZIBs). However, finding replacement for limited cycle-life Zn-anode is a major challenge. Molybdenum disulfide (MoS), an insertion-type 2D layered material, has shown promising characteristics as a ZIB anode.

Cross-linked chitosan encapsulated hollow mesoporous silica nanoparticle: A dual-functional smart nanocapsule design for targeted corrosion inhibition and controlled emulsification.

Research on stimuli-responsive micro-nanocontainers has gained attention for targeted corrosion inhibition and controlled emulsification-demulsification in oil recovery. However, existing nanocontainers face issues like irreversible drug release and limited functionality. This study presents a multi-functional nanocontainer design with reversible drug release and emulsification-demulsification capabilities.

Vacancy-Activated B-Doping for Efficient 2e Oxygen Reduction through Suppressing HO Decomposition at High Overpotential.

The production of hydrogen peroxide (HO) through two-electron oxygen reduction reaction (2e ORR) has emerged as a more environmentally friendly alternative to the traditional anthraquinone method. Although oxidized carbon catalysts have intensive developed due to their high selectivity and activity, the yield and conversion rate of HO under high overpotential still limited. The produced HO was rapidly consumed by the increased intensity of HO reduction, which could ascribe to decomposition of peroxide radicals under high voltage in the carbon catalyst.

A novel approach to assess acid diversion efficiency in horizontal wells.

Using an acid to stimulate a heterogeneous carbonate reservoir during matrix acidizing may lead to over-treating the high permeability zones, leaving low permeability zones untreated. This is particularly exacerbated in long horizontal sections, necessitating the use of acid diverters for effective acid distribution across the formation. In previous studies, conventional core flooding systems were utilized where single inlet and outlet lines were used or, at best, two outlet lines for dual-core flooding.

Seismic anisotropy prediction using ML methods: A case study on an offshore carbonate oilfield.

Estimating seismic anisotropy parameters, such as Thomson's parameters, is crucial for investigating fractured and finely layered geological media. However, many inversion methods rely on complex physical models with initial assumptions, leading to non-reproducible estimates and subjective fracture interpretation. To address these limitations, this study utilizes machine learning methods: support vector regression, extreme gradient boost, multi-layer perceptron, and a convolutional neural network.

Porphyrin-Based Supramolecular Self-Assemblies: Construction, Charge Separation and Transfer, Stability, and Application in Photocatalysis.

As a key means to solve energy and environmental problems, photocatalytic technology has made remarkable progress in recent years. Organic semiconductor materials offer structural diversity and tunable energy levels and thus attracted great attention. Among them, porphyrin and its derivatives show great potential in photocatalytic reactions and light therapy due to their unique large-π conjugation structure, high apparent quantum efficiency, tailorable functionality, and excellent biocompatibility.