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Comparative architectural evaluation of CNN models with alternative classifiers for UAV-based detection of damaged green zones

Nodir Rakhimov, Jura Kuvandikov, Ma'ruf Tojiyev, Dilmurod Khasanov et al. • Frontiers in Artificial Intelligence (2026)

Unmanned aerial vehicle imagery provides a practical and high-resolution data source for monitoring the spatial condition of urban and peri-urban green zones. However, the reliable detection of damaged, stressed, or declining vegetation are...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1910842

Artificial Intelligence for Lentigo Maligna: Automated Margin Assessment via Sox-10-Based Melanocyte Density Mapping

Rieke Löper, Lennart Abels, Daniel Otero Baguer, Felix Bremmer et al. • Dermatopathology (2025)

Lentigo maligna (LM) is a melanoma in situ with high cumulative sun damage. Histological evaluation of resection margins is difficult and time-consuming. Melanocyte density (MD) is a suitable, quantifiable, and reproducible diagnostic crite...

DOAJ Open Access (DOAJ) DOI: 10.3390/dermatopathology13010001

Electromagnetic Field Distribution Mapping: A Taxonomy and Comprehensive Review of Computational and Machine Learning Methods

Yiannis Kiouvrekis, Theodor Panagiotakopoulos • Computers (2025)

Electromagnetic field (EMF) exposure mapping is increasingly important for ensuring compliance with safety regulations, supporting the deployment of next-generation wireless networks, and addressing public health concerns. While numerous su...

DOAJ Open Access (DOAJ) DOI: 10.3390/computers14090373

AI-heat transfer analysis of casson fluid in uniformly heated enclosure with semi heated baffle

Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian • International Journal of Thermofluids (2025)

The heat transfer in Casson fluid with natural convection claims various applications namely thermal regulation in biological systems, solar collectors, polymer processing, and geothermal applications to mention just a few. Owing to such mo...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijft.2025.101148

When Math Hurts: Math Anxiety Predicts Pain Network Activation in Anticipation of Doing Math

Ian M. Lyons, Sian Leah Beilock • PLoS ONE (2012)

Math can be difficult, and for those with high levels of mathematics-anxiety (HMAs), math is associated with tension, apprehension, and fear. But what underlies the feelings of dread effected by math anxiety? Are HMAs' feelings about math m...

OPENALEX cc-by DOI: https://doi.org/10.1371/journal.pone.0048076 PMC: 3485285

Is Math Anxiety Always Bad for Math Learning? The Role of Math Motivation

Zhe Wang, Sarah L. Lukowski, Sara Ann Hart, Ian M. Lyons et al. • Psychological Science (2015)

The linear relations between math anxiety and math cognition have been frequently studied. However, the relations between anxiety and performance on complex cognitive tasks have been repeatedly demonstrated to follow a curvilinear fashion. ...

OPENALEX Open Access DOI: https://doi.org/10.1177/0956797615602471 PMC: 4679544

Math = male, me = female, therefore math ≠ me.

Brian A. Nosek, Mahzarin R. Banaji, Anthony G. Greenwald • Journal of Personality and Social Psychology (2002)

College students, especially women, demonstrated negativity toward math and science relative to arts and language on implicit measures. Group membership (being female), group identity (self = female), and gender stereotypes (math = male) we...

OPENALEX Open Access DOI: https://doi.org/10.1037//0022-3514.83.1.44

Fourier Truncation Regularization Method for a Time-Fractional Backward Diffusion Problem with a Nonlinear Source

Fan Yang, Ping Fan, Xiao-Xiao Li, Xin-Yi Ma • Mathematics (2019)

In present paper, we deal with a backward diffusion problem for a time-fractional diffusion problem with a nonlinear source in a strip domain. We all know this nonlinear problem is severely ill-posed, i.e., the solution does not depend cont...

DOAJ Open Access (DOAJ) DOI: 10.3390/math7090865