Academic Articles & Research Papers

Toward Autonomous Extraction and Building of Machine-Readable Molecular Models from Publications Using Large Language Models.

Overview of Tensor-Based Cooperative MIMO Communication Systems—Part 1: Tensor Modeling

Due to increasingly strong and varied performance requirements, cooperative wireless communication systems today occupy a prominent place in both academic research and industrial development. The technological and economic challenges for fu...

White dwarf + M dwarf Detached Binaries in Long Period Radio Transients: Observed Binary Parameters, Evolution, and Population Constraints

Long period radio transients (LPTs) are the slowest radio-pulsing sources ever found, with the current population spanning periods of seven minutes to over six hours. Two of the thirteen published LPTs, ILT J1101+5521 and GLEAM-X J0704--37,...

Effects of long-term exposure to air pollutant mixture on blood pressure in typical areas of North China

Background: Studies about the combined effects of gaseous air pollutants and particulate matters are still rare. Objectives: This study was performed based on baseline survey of the Diverse Life-Course Cohort in the Beijing-Tianjin-Hebei (B...

Statistics with Confidence

Uncertainty and Psychological Research Variables and Measurement Exploring, Describing, Displaying and Summarizing Research Design and Probability Sampling Distributions and Confidence Intervals Statistical Models and Significance Tests Pre...

Development and validation of an online dynamic nomogram based on the atherogenic index of plasma to screen nonalcoholic fatty liver disease

Abstract Background Nonalcoholic fatty liver disease (NAFLD), a common liver disease worldwide, can be reversed early in life with lifestyle and medical interventions. This study aimed to develop a noninvasive tool to screen NAFLD accuratel...

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...

A <italic>&#x03BC;</italic>-Synthesis Framework for Multi-Domain Robust Load Frequency Control Under Concurrent Communication Delays and Parametric Uncertainties

The integration of communication networks into modern power systems introduces variable time delays that degrade the performance of traditional Load Frequency Control (LFC), while the shift towards renewable energy sources increases system ...

A Heuristic Home Electric Energy Management System Considering Renewable Energy Availability

This paper presents the development of a heuristic-based algorithm for a Home Electric Energy Management System (HEEMS). The novelty of the proposal resides in the fact that solutions of the Pareto front, minimizing both the energy consumpt...

Copula‐based joint distribution analysis of wind speed and wind direction: Wind energy development for Hong Kong

Abstract Accurate and reliable assessment of wind energy potential has important implication to the wind energy industry. Most previous studies on wind energy assessment focused solely on wind speed, whereas the dependence of wind energy on...

Research on the Configuration of a 100% Green Electricity Supplied Zero-Carbon Integrated Energy Station

In the context of rapid growth in renewable energy installations and increasingly severe consumption issues, this paper designs a 100% green electricity supplied zero-carbon integrated energy station. It aims to analyze its configuration fo...

A comprehensive review on the adoption of insulated block/eco-block as a green building technology from a resident perspective

Green building technologies (GBTs) have gained significant momentum as a result of the environmental, energy management and societal problems within the building sector. The insulated block/eco-block is a GBT, which consists of an insulatio...

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

High Resolution Image Download MS PowerPoint Slide Conspectus Machine learning has become a common and powerful tool in materials research. As more data become available, with the use of high-performance computing and high-throughput experi...

Fundamentals of Materials Science and Engineering : An Integrated Approach

Chapter 1 - Introduction. 1.1 Historical Perspective 1.2 Materials Science and Engineering 1.3 Why Study Materials Science and Engineering? 1.4 Classification of Materials Materials of Importance-Carbonated Beverage Containers 1.5 Advanced ...

Collective dynamics in holographic fractonic solids

Abstract Fractonic phases of matter, a class of states in which collective excitations with constrained mobility exist, were originally discovered in the study of quantum error-correcting codes in solvable lattice spin models such as Haah’s...

Rarefied Reactive Gas Flows over Simple and Complex Geometries Using an Open-Source DSMC Solver

During atmospheric reentry, a significant number of chemical reactions are produced inside the high-temperature shock wave formed upstream of the spacecraft. Chemical reactions can significantly alter the flowfield structure surrounding the...

A quantum fuzzy logic-enhanced evolutionary framework for energy-latency optimization in 6G Edge-IioT

Abstract The transition toward 6G-enabled Industrial Internet of Things (IIoT) requires strict Ultra-Reliable Low-Latency Communication (URLLC), creating a fundamental trade-off with energy consumption. Orchestrating resources in dense, hyp...

Stability of thermal equilibrium in long-range quantum systems

Experimental realizations of spin models are irremediably prone to errors, which can propagate through the system corrupting experimental signals. We study how such errors affect the measurement of local observables in systems with long-ran...

Coalition of explainable artificial intelligence and quantum computing in precision medicine

This survey examines the convergence of Explainable Artificial Intelligence (XAI) and Quantum Computing (QC) toward precision medicine. We review developments from 2018 to 2025, summarizing quantum algorithms, quantum-machine-learning model...

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...