Results 191 to 200 of about 2,302 (247)

Black Chickpea Landraces as a Sustainable Protein Source: Physicochemical, Nutritional, and Technological Properties

Legume Science, Volume 8, Issue 3, September 2026.
ABSTRACT Neglected legume landraces represent valuable genetic resources for sustainable food systems, yet their compositional and technological properties remain poorly explored. This study comprehensively characterized the flours obtained from two Sicilian black chickpeas (Cicer arietinum L.) landraces, Rough Black Chickpeas (RBC) and Smooth Black ...
Marco Torre, Olimpia Pitirollo, Roberto Laganà Vinci, Antonella Cavazza, Francesco Cacciola, Jens J. Sloth, Charlotte Jacobsen, Federico Casanova, Antonella Verzera, Fabrizio Cincotta   +9 more
wiley   +1 more source

HCHS-Net: A Multimodal Handcrafted Feature and Metadata Framework for Interpretable Skin Lesion Classification. [PDF]

Biomimetics (Basel)
Solak A.
europepmc   +1 more source

Biogeographical Expansion and Integrative Taxonomic Confirmation of Cortinarius saniosus (Fr.) Fr. and C. desertorum (Velen.) G. Garnier in Anatolia

New Zealand Journal of Botany, Volume 64, Issue 3, September 2026.
Integrative morphological and ITS‐based phylogenetic analyses confirm the occurrence of Cortinarius saniosus and C. desertorum in the montane Pinus sylvestris forests of Eastern Anatolia, Türkiye. These records represent a significant southeastward expansion of the species’ documented, distributions and provide molecularly characterized material from ...
Mustafa Emre Akçay
wiley   +1 more source

How Good Is the Machine at the Imitation Game? On Stylistic Characteristics of AI-Generated Images. [PDF]

J Imaging
Deliège A, Marlot J, Van Droogenbroeck M, Dondero MG.   +3 more
europepmc   +1 more source

Precise assessment of facial skin based on multimodal data fusion of the microbiome

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract The skin microecology plays a vital role in maintaining cutaneous health and is intricately linked to host skin phenotypes. However, there remains a lack of precise and quantitative biomarkers for evaluating skin health conditions, making it challenging to identify individuals at potential risk of microecological imbalance.
Fan Meng, Junhui Zhang, Chunying Yuan, Ruichen Li, Yangyang Sun, Hong Jiang, Suzhen Yang, Yan Li, Xiaoquan Su   +8 more
wiley   +1 more source

The Principle and Application of Achromatic Metalens. [PDF]

Micromachines (Basel)
Liu R, Li L, Zhou J.
europepmc   +1 more source

End‐to‐End Deep Learning Framework for Freeform Metasurfaces via Non‐Uniform Rational B‐Splines Meta‐Atoms

Nanophotonics, Volume 15, Issue 15, 13 August 2026.
This work presents a NURBS‐enabled metasurface design framework that combines freeform meta‐atom parameterization with Transformer‐based deep learning. The unified mathematical representation expands geometric degrees of freedom while enabling efficient optical‐response prediction and inverse design.
Kaipeng Liu, Junliang Jia, Kun Li, Yuanjian Wan, Runlin Zhou, Xuyang Chen, Chao Wang, Zhixiang Huang, Jiaxin Li, Gang Gao, Pei Zhang, Longqiu Li   +11 more
wiley   +1 more source

A Homology-Based Application to Diagnose Colorectal Adenoma and Early-Stage Cancer. [PDF]

Pathol Int
Yokoyama Y, Kanayama K, Matsuda M, Hatori N, Asano T, Morii E, Yamamoto H, Nakane K.   +7 more
europepmc   +1 more source

MusicoCrypt: A Music‐Modulated Stream Cipher Using Deep Pitch Estimation and Number‐Theoretic Dynamics

Concurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.
ABSTRACT This paper presents MusicoCrypt, a context‐bound music‐modulated stream‐encryption framework that incorporates audio‐derived public side information into a pseudorandom‐function‐centered encryption workflow. A shared reference recording is processed using a pitch‐tracking pipeline, and ordered note pairs are encoded as residues in ℤ132 ...
Cilen Gulsum Turan, Fesih Keskin, Gültekin Işık   +2 more
wiley   +1 more source

Neonatal jaundice detection using a vision transformer-based deep learning model. [PDF]

Sci Rep
Lotfi M, Rabiee M, Nazarpak MH, Sangesari R, Alishahi N, Azimi MS.   +5 more
europepmc   +1 more source