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Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou et al. • Nature Communications (2025)

Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturba...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-025-55944-5

Artificial Intelligence Voluntary Disclosures and Their Effect on Firms’ Financial Performance: Evidence from Egypt Firms on the EGX30 Index

suzy elnokoudy • المجلة العلمية للدراسات والبحوث المالية والتجارية (2025)

The present paper, thus, investigates the link between AI-disclosure in annual reports and firm performance in the Egyptian financial industry. It explains how the number of appertained AI-words in the corporate disclosures would correspond...

DOAJ Open Access (DOAJ) DOI: 10.21608/cfdj.2024.326666.2065

Harnessing Machine Learning for Procedural Content Generation in Gaming: A Comprehensive Review

Shaqayeq Saffari, Morteza Dorrigiv, Farzin Yaghmaee • Journal of Artificial Intelligence and Data Mining (2024)

Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing this area. While...

DOAJ Open Access (DOAJ) DOI: 10.22044/jadm.2025.15016.2603

Association between phthalate exposure and accelerated bone maturation in Chinese girls with early puberty onset: a propensity score-matched case–control analysis

Shurong Huang, Zhe Su, Huiping Su, Yanhua Jiao et al. • Scientific Reports (2022)

Abstract Estrogen can promote the acceleration of bone maturation and phthalate esters (PAEs) have estrogen-mimicking effects. We investigated whether PAEs are associated with the acceleration of bone age (BA) in girls with early onset of p...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-022-19470-4

Developing an Ethical Regulatory Framework for Artificial Intelligence: Integrating Systematic Review, Thematic Analysis, and Multidisciplinary Theories

Jian Wang, Yujia Huo, Jinli Mahe, Zongyuan Ge et al. • IEEE Access (2024)

Artificial intelligence (AI) ethics has emerged as a global discourse within both academic and policy spheres. However, translating these principles into concrete, real-world applications for AI development remains a pressing need and a sig...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3501332

Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes

Wiktor Stopyra, Oleksiy Voytsekhivskyy, Andrzej Grzybowski • Life (2025)

Purpose: To compare the accuracy of seven artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in medium-long Caucasian eyes regarding the root-mean-square absolute error (RMSAE), the median absolute error (M...

DOAJ Open Access (DOAJ) DOI: 10.3390/life15010045

Occupational exposures, complementarity and the potential consequences of A.I. for the labour market: some evidence from Ireland

Harry Williamson, Dermot Coates, Kevin Daly, Keith FitzGerald et al. • Journal for Labour Market Research (2025)

Abstract The adoption of AI technology by industry could significantly disrupt our current understanding of “typical” economic activity. As AI comes to pervade more sectors and occupations over time, it is likely that this technology will g...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12651-025-00418-w

Precision Periodontics: Reimagining Periodontal Care through Precision Diagnostics and Targeted Therapies

Muneesh Joshi, Kuhu Sharma • Archives of Medicine and Health Sciences (2026)

Periodontitis is a chronic inflammatory disease that affects the tissues supporting teeth and represents a significant global health issue. Traditional diagnostic and treatment methods often use a broad approach and fall short due to the co...

DOAJ Open Access (DOAJ) DOI: 10.4103/amhs.amhs_191_25

WEB 2.0 AND TOURISM: A REVIEW OF THE LITERATURE

Fabrizio GRITTA, Gerardo BOSCO, Mario CALABRESE • Tourism and Hospitality Management (2026)

Purpose – The tourism sector has undergone profound transformations due to digital technologies. The shift from Web 1.0 to Web 2.0 has created an interactive environment characterized by social networks, intermediary platforms, mobile devic...

DOAJ Open Access (DOAJ) DOI: 10.20867/thm.32.2.9

Mapping artificial intelligence research in higher education toward sustainable development

Tieu Thi My Hong, Nguyen Thi Thanh Tung, Nguyen Thi Phuong Thanh • Discover Sustainability (2025)

Abstract The rapid development of Artificial Intelligence (AI) has had a profound impact on higher education (HE), fundamentally changing teaching, learning, research and academic management. Although there have been many studies on the app...

DOAJ Open Access (DOAJ) DOI: 10.1007/s43621-025-02162-0

Authentic content as an effective mechanism for embedding patient voices in health innovation: a hypothesis and conceptual framework

Rohin Malhotra • Frontiers in Health Services (2026)

Health innovation systems continue to face persistent inefficiencies, mistrust, and escalating development costs despite rapid scientific progress. Although patient-engagement is increasingly recognised as essential for patient-centred heal...

DOAJ Open Access (DOAJ) DOI: 10.3389/frhs.2026.1833920

Guarding against artificial intelligence – hallucinated citations: The case for full-text reference deposit.

Alex Glynn • European Science Editing (2025)

The tendency of generative artificial intelligence (AI) to ‘hallucinate’ false information is well known; AI-generated citations to non-existent sources have penetrated the bibliographies of peer-reviewed publications. D...

DOAJ Open Access (DOAJ) DOI: 10.3897/ese.2025.e153973

Enhancing Explainable Artificial Intelligence: Using Adaptive Feature Weight Genetic Explanation (AFWGE) with Pearson Correlation to Identify Crucial Feature Groups

Ebtisam AlJalaud, Manar Hosny • Mathematics (2024)

The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...

DOAJ Open Access (DOAJ) DOI: 10.3390/math12233727

Research on scheduling strategy for automated storage and retrieval system

Sai Geng, Lei Wang, Dongdong Li, Benchi Jiang et al. • CAAI Transactions on Intelligence Technology (2022)

Abstract With the continuous and rapid growth of transport demand, scheduling strategy of warehouse has become a key issue in the field of logistics transportation. The structural differences of the warehouse, the automated storage and retr...

DOAJ Open Access (DOAJ) DOI: 10.1049/cit2.12066

Record‐High Latent Heat, Ultra‐Fast Relaxation and Closed‐Loop Recycling Double‐Brush Polymer Networks for Self‐Adaptive Thermal Interface Management

Qiguang Liu, Yanyun Li, Zhenghao Wu, Junjie Cheng et al. • Advanced Science (2026)

ABSTRACT In the era of artificial intelligence (AI)‐driven high‐performance computing, phase change materials (PCMs) are critical for high‐flux thermal management. PCMs are evolving toward high enthalpy, low interfacial thermal resistance (...

DOAJ Open Access (DOAJ) DOI: 10.1002/advs.202521482

An automated deep learning framework for brain tumor classification using MRI imagery

Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports (2025)

Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-02209-2