Academic Articles & Research Papers

Analytically Computing the Moments of a Conic Combination of Independent Noncentral Chi-Square Random Variables and Its Application for the Extended Cox–Ingersoll–Ross Process with Time-Varying Dimension

This paper focuses mainly on the problem of computing the γth, γ>0, moment of a random variable Yn:=∑i=1nαiXi in which the αi’s are positive real numbers and the Xi’s are independent and distributed according to noncentral chi-square distri...

Assessment of the learning environment among medical students at Tabuk University, Saudi Arabia: a cross-sectional study

BackgroundThe learning environment (LE) is integral to medical students’ academic performance, emotional well-being, and professional development. Students’ perceptions of their learning environment provide valuable insights for identifying...

Dynamic analysis of the economic effects of population structural changes in the coming decades of Iran (with emphasis on the role of women)

The trend of population growth in the last three decades will cause extensive changes in the age structure of Iran's population. So that it can be one of the most important challenges of the country in the coming decades. This development w...

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...

Supramolecular soft matter in traditional Chinese medicine: multiscale structure-function evidence, critical limitations, and translational challenges.

A Pythagorean Fuzzy Cognitive Mapping Approach for Iran’s Electricity Sustainability as a Case Study for Developing Economies

Transition to renewable electricity faces diverse challenges, the systemic interdependencies of which are still underexplored. This study applies a Pythagorean Fuzzy Cognitive Map (PFCM) to analyze and prioritize challenges of transitioning...

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 ...

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...

Wastewater mining for circular potassium fertilisers: A critical scoping review of technologies, product formulations, and up-scaling challenges.

Political stability and good governance as catalysts for achieving sustainable cities, clean energy, and responsible consumption: evidence from an emerging economy

Abstract This study investigates the pivotal role of political stability, good governance, and institutional support in achieving Sustainable Development Goals (SDGs) 7, 11, and 12 in Pakistan, an emerging economy. SDG 7 deals with affordab...

Capacity Optimization and Rolling Scheduling of Offshore Multi-Energy Coupling Systems

Increasing penetration of offshore renewable energy has highlighted the challenges posed by strong intermittency, output uncertainty, and insufficient utilization of marine energy resources. To address these issues, this study investigates ...

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...

A design method for booster motor of brake-by-wire system based on intelligent electric vehicle

ABSTRACT: The brake-by-wire (BBW) system is an essential part of the intelligent electric vehicle, which is determination of the braking safety and recovery efficiency. To design a safe and efficient booster motor, the design of booster mot...

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...

Artificial Intelligence-Powered Materials Science

The advancement of materials has played a pivotal role in the advancement of human civilization, and the emergence of artificial intelligence (AI)-empowered materials science heralds a new era with substantial potential to tackle the escala...

From neuromodulation to bone homeostasis: therapeutic targets of nerve growth factor in skeletal diseases

The skeletal system is an important support structure in the human body, and its homeostatic state is highly relevant to the development of a wide range of orthopaedic diseases. The search for key regulatory factors associated with skeletal...

Photoresponsive Biomimetic Soft Robots Enabled by Near‐Infrared‐Driven and Ultrarobust Sandwich‐Structured Nanocomposite Films

Soft robots, intelligent structures built up of smart soft materials, are capable of being programmed to perform delicate work. Recently, plenty of biomimetic soft robots with functionalities of grasping, sensing, searching, and transportin...

On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning

Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. However, it is hard to design even simple quantum programs. Recent results have ...

Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools

Quantum Computing (QC) refers to an emerging paradigm that inherits and builds with the concepts and phenomena of Quantum Mechanic (QM) with the significant potential to unlock a remarkable opportunity to solve complex and computationally i...