Academic Articles & Research Papers

Experimental Design Signatures Emerge from Topic Modeling of Graphene Oxide Literature.

Sliding Ferroelectric Tunnel Junctions with Ultrahigh Tunneling Electroresistance.

Learning the Path to Ion Separation: A Proof-of-Concept for Machine Learning-Assisted Inverse Design (MLAID) of Nanofiltration Membranes.

Synergistic Approaches in PFAS Remediation: Outlook for Sustainable In Situ Mitigation by Combined Adsorption and Photocatalysis.

Research Priorities for a Circular Economy for Plastic Sustainability in the Caribbean.

Integrating PET/CT and correlative biomarkers for prospective evaluation of extramedullary disease in relapsed/refractory B-ALL: implications for CAR T-cell therapy.

Health service staff and patients' perceptions of the safety, quality, cost-effectiveness, environmental impact, benefits and challenges of disposable versus reusable endoscopes in upper gastrointestinal procedures: a qualitative study.

Implementing a digitally enabled wound model of care to improve chronic wound outcomes in seven health services in Australia: study protocol for a multisite, hybrid type 2, two-phase effectiveness-implementation trial (the ENABLE study).

The sword of damocles: AI partners and digital avatars in an era of elderly companionship collapse.

From molecular pathways to nanocarrier design: a translational framework for lipid-based nanoparticles in Alzheimer's disease.

Global perspectives on MASCC clinical practice guidelines: awareness, implementation and insights to inform future updates.

Current state of smart shunt technology-a future dream or tangible perspective: a systematic review.

From fluoroscopy to artificial intelligence: three decades of percutaneous pelvic ring fixation-a bibliometric and science-mapping analysis (1996-2026).

Development of a novel RNA modification-based risk model to predict prognosis and immunotherapy response in melanoma using machine learning.

Detection and Classification of Abnormities of First Heart Sound Using Empirical Wavelet Transform

It is expected that an automatic detection and classification algorithm for the abnormities of first heart sound (S1) can realize computer artificial intelligence diagnosis of some relative cardiovascular disease. Few studies have focused o...

Optimizing Energy Consumption of Edge-Cloud Environments: A comparative Study Between PPO and PSO

Abstract As the usage of the edge-cloud continuum increases, Kubernetes presents itself as a solution that allows easy control and deployment of applications in these highly-distributed and heterogeneous environments. In this context, Artif...

Fuzzy harmonic mean technique for solving fully fuzzy multilevel multiobjective linear programming problems

This paper illustrates how the fuzzy harmonic mean technique can efficiently solve fully fuzzy multilevel multiobjective linear programming (FFMMLP) problems. First, at each level, the FFMMLP problem can be converted into three crisp multio...

Personalized ideological content recommendation via reinforcement learning as a digital therapeutic for anxiety reduction in youth

Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...

Evaluating Artificial Intelligence’s Role in Developing Research Questions in Head and Neck Reconstruction

Summary:. Generative artificial intelligence (AI) large language models are an emerging technology, with ChatGPT and Gemini being 2 well-known examples. The current literature discusses clinical applications and limitations of AI, but its r...

Paddy Yield Prediction in Tamilnadu Delta Region Using MLR-LSTM Model

Crop yield forecasting has been well studied in recent decades and is significant in protecting food security. Crop growth is a complex phenomenon that depends on various factors. Machine learning and deep learning trends have emerged as im...