Academic Articles & Research Papers

Heterogeneous Graph Neural Network

Representation learning in heterogeneous graphs aims to pursue a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This...

PG-MACO Optimization Method for Ship Pipeline Layout

Aimed at the problem of low efficiency of ship pipeline design, an optimization method of pipeline layout is proposed. An optimization mathematical model is established by comprehensively considering the engineering background of safety, ec...

EdgeAIGC: Model caching and resource allocation for edge artificial intelligence generated content

With the rapid development of generative artificial intelligence technology, the traditional cloud-based centralized model training and inference face significant limitations due to high transmission latency and costs, which restrict user-s...

Application of Robust Estimation for Time Synchronization and Retaining in Local Area Network

In view of the defect existed in the time synchronization of Local Area Network(LAN) using hardware and software methods,this paper introduces the principle of time synchronization in LAN and the method of robust estimation.The model of tim...

CD44-Receptors-Mediated Multiprong Targeting Strategy Against Breast Cancer and Tumor-Associated Macrophages: Design, Optimization, Characterization, and Cytologic Evaluation

Zahid Hussain,1,2 Lama Abdulrahim Abdul Moti,1 Jayalakshmi Jagal,2 Hnin Ei Thu,3 Shahzeb Khan,4 Mohsin Kazi5 1Department of Pharmaceutics and Pharmaceutical Technology, College of Pharmacy, University of Sharjah, Sharjah, 27272, United Arab...

The Balanced Opioid Initiative: protocol for a clustered, sequential, multiple-assignment randomized trial to construct an adaptive implementation strategy to improve guideline-concordant opioid prescribing in primary care

Abstract Background Rates of opioid prescribing tripled in the USA between 1999 and 2015 and were associated with significant increases in opioid misuse and overdose death. Roughly half of all opioids are prescribed in primary care. Althoug...

The structure of technological learning: Insights from water electrolysis for cost forecasting, policy, and strategy.

An Adaptive Architecture for Long Term Energy Programme Management

Climate change, population growth, changing energy consumption patterns and the advent of feasible renewable energy sources has prompted governments worldwide to set targets for carbon emission reductions. The transition to a ‘near zero emi...

Optimal dispatching method for integrated energy system based on robust economic model predictive control considering source–load power interval prediction

Effective source–load prediction and reasonable dispatching are crucial to realize the economic and reliable operations of integrated energy systems (IESs). They can overcome the challenges introduced by the uncertainties of new energies an...

Oxidation‐etching induced morphology regulation of Cu catalysts for high‐performance electrochemical N2 reduction

Abstract Renewable‐electricity‐driven N2 reduction is an attractive approach for ambient NH3 synthesis, but active electrocatalysts are needed to enable the N2 reduction reaction. Monolithic electrodes with active components anchored on con...

Expanding the galactose oxidase substrate repertoire via a multi-modal computational strategy.

Extraction and Energy Management of Solar Photovoltaic, Fuel Cell, and Battery Systems Using a Novel Multi Port Power Converter for DC Microgrid Applications

In DC microgrids, efficient power extraction and an effective energy management strategy (EMS) are crucial when integrating multiple power sources. This study presents a novel Four-Port Converter (FPC) configuration designed to extract powe...

Renewable Energy Resources

Renewable Energy Resources is a numerate and quantitative text covering the full range of renewable energy technologies and their implementation worldwide. Energy supplies from renewables (such as from biofuels, solar heat, photovoltaics, w...

High-Performance Tuning for Model Predictive Control for a Renewable Energy Grid-Interface Converter With LCL Filter

Model predictive control (MPC) has emerged as a highly regarded control strategy in power electronics for renewable energy applications. While it minimizes tracking errors and control effort, a significant challenge is the lack of systemati...

Sustainable clove-derived nitrogen-doped carbon dots with programmable multimodal fluorescence for metal ion and fluoride sensing

The development of sustainable fluorescent nanomaterials from renewable biomass represents a promising strategy for environmentally benign chemical sensing. In this work, nitrogen-doped carbon dots (N-CDs) were synthesized from clove biomas...

The role of renewable energy in the global energy transformation

This paper explores the technical and economic characteristics of an accelerated energy transition to 2050, using new datasets for renewable energy. The analysis indicates that energy efficiency and renewable energy technologies are the cor...

Tailoring structural properties of carbon via implanting optimal co nanoparticles in n‐rich carbon cages toward high‐efficiency oxygen electrocatalysis for rechargeable zn‐air batteries

Abstract Rational construction of carbon‐based materials with high‐efficiency bifunctionality and low cost as the substitute of precious metal catalyst shows a highly practical value for rechargeable Zn‐air batteries (ZABs) yet it still rem...

Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches

Abstract This paper introduces the design and exploration of a compact, high-performance multiple-input multiple-output (MIMO) antenna for 6G applications operating in the terahertz (THz) frequency range. Leveraging a meta learner-based sta...

Lightweight Anonymous Group Authentication and Quantum-Cloud Key Distribution Based on PUF for Classical Network Environments

With the rapid development of quantum computing, in response to its disruptive threats to traditional cryptosystems and the urgent demand for lightweight and highly scalable secure group communication among resource-constrained devices in l...

Toll-like receptor 2 coordinates induction of IL-22 in lung macrophages following organic dust-induced inflammation

IntroductionOrganic dust exposures, particularly in occupational settings, induce airway inflammation and contribute to the development and progression of chronic lung disease and impaired tissue regeneration. Interleukin-22 (IL-22) is a pl...