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On-board diagnostics method for detecting bearing defects in traction synchronous permanent magnet motors based on stator current spectrum

E. A. Dvoeglazov, O. A. Kozelkov, P. K. Dyakov • Вестник СибАДИ (2026)

Introduction. The reliability of traction electric drive is a key factor determining the operational efficiency of urban electric transport. Bearing assemblies of electric motors remain one of the most common causes of failures leading to v...

DOAJ Open Access (DOAJ) DOI: 10.26518/2071-7296-2026-23-2-334-348

Hg Isotopes and Enhanced Hg Concentration in the Meishan and Guryul Ravine Successions: Proxies for Volcanism Across the Permian-Triassic Boundary

Alcides Nóbrega Sial, Jiubin Chen, Christoph Korte, Manoj Kumar Pandit et al. • Frontiers in Earth Science (2021)

High-resolution organic carbon isotope (δ13C), Hg concentration and Hg isotopes curves are presented for the Permian-Triassic boundary (PTB) sections at Guryul Ravine (India) and Meishan D (China). The total organic carbon (TOC)-normalized ...

DOAJ Open Access (DOAJ) DOI: 10.3389/feart.2021.651224

An Agent Cascade for Explainable Relevance Assessment of Procurement Procedures in the Tenders Electronic Daily Environment

Ivan Tikshaev, Anatoly Sidorov • Mathematics (2026)

This paper considers the task of assessing the relevance of a procurement procedure for a supplier under conditions of growing volumes of open procurement data and increasing complexity of electronic publication services. It is shown that, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math14173125

Depressive phenotype shapes behavioral, neuroendocrine and molecular responses to repetitive transcranial magnetic stimulation in preclinical models of depression

Marta Boffa, Marta Boffa, Sara Spalletti, Sara Spalletti et al. • Frontiers in Molecular Neuroscience (2026)

IntroductionRepetitive transcranial magnetic stimulation (rTMS) is an established non-invasive treatment for treatment-resistant depression (TRD), yet its neurobiological mechanisms remain only partially understood. We investigated whether ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnmol.2026.1939025

Implementing and Evaluating a National Integrated Digital Registry and Clinical Decision Support System in Early Intervention in Psychosis Services (Early Psychosis Informatics Into Care): Co-Designed Protocol

Siân Lowri Griffiths, Graham K Murray, Yanakan Logeswaran, John Ainsworth et al. • JMIR Research Protocols (2024)

BackgroundEarly intervention in psychosis (EIP) services are nationally mandated in England to provide multidisciplinary care to people experiencing first-episode psychosis, which disproportionately affects deprived and ethnic minority yout...

DOAJ Open Access (DOAJ) DOI: 10.2196/50177

Medical Informatics

Alan L. Rector • Cambridge University Press eBooks (2007)

Description Logics and related formalisms are being applied in at least five applications in medical informatics – terminology, intelligent user interfaces, decision support and semantic indexing, language technology, and systems integratio...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511711787.015

Medical informatics

Alan L. Rector (2003)

Description Logics and related formalisms are being applied in at least five applications in medical informatics - terminology, intelligent user interfaces, decision support and indexing, technology, and systems integration. Important issue...

OPENALEX

CSNTSteg: Color Spacing Normalization Text Steganography Model to Improve Capacity and Invisibility of Hidden Data

Reema Thabit, Nur Izura Udzir, Sharifah Md Yasin, Aziah Asmawi et al. • IEEE Access (2022)

The rapid growth of online communication has increased the demand for secure communication. Most government entities, healthcare providers, the legal sector, financial and banking, and other industries are vulnerable to information security...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2022.3182712

Housekeeping gene expression variability in differentiating and non-differentiating 3T3-L1 cells

Danang Dwi Cahyadi, Tomoko Warita, Nanami Irie, Kana Mizoguchi et al. • Adipocyte (2023)

ABSTRACTNormalization is a crucial step in gene expression analysis to avoid misinterpretation. Reverse transcription-quantitative polymerase chain reaction was used to measure the expression of 10 candidate housekeeping genes in non-differ...

DOAJ Open Access (DOAJ) DOI: 10.1080/21623945.2023.2235081

Momentum-space Langevin dynamics of holographic Wilsonian RG flow: self-interacting massive scalar field with marginal deformation

Ji-seong Chae, Jae-Hyuk Oh • European Physical Journal C: Particles and Fields (2025)

Abstract We explore the mathematical relationship between the holographic Wilsonian renormalization group (HWRG) and stochastic quantization(SQ) motivated by the similarity of the monotonicity in RG flow with Langevin dynamics of non-equili...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjc/s10052-025-14037-9

Using an Inspired Quantum-Classical Sequential Neural Network to Segment Liver Tumor Images Accurately

Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering (2026)

Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...

DOAJ Open Access (DOAJ) DOI: 10.6180/jase.202701_36.052

Slimmable Neural Networks

Jiahui Yu, Linjie Yang, Ning Xu, Yang, Jianchao et al. • arXiv (Cornell University) (2018)

We present a simple and general method to train a single neural network executable at different widths (number of channels in a layer), permitting instant and adaptive accuracy-efficiency trade-offs at runtime. Instead of training individua...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1812.08928

Self-Normalizing Neural Networks

Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter • arXiv (Cornell University) (2017)

Deep Learning has revolutionized vision via convolutional neural networks (CNNs) and natural language processing via recurrent neural networks (RNNs). However, success stories of Deep Learning with standard feed-forward neural networks (FNN...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.1706.02515

Nonresonant renormalization scheme for twist-2 operators in SU(N) Yang–Mills theory

Francesco Scardino • European Physical Journal C: Particles and Fields (2024)

Abstract Recently, the short-distance asymptotics of the generating functional of n-point correlators of twist-2 operators in SU(N) Yang–Mills (YM) theory has been worked out in Bochicchio et al. (Phys Rev D 108:054023, 2023). The above com...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjc/s10052-024-13590-z

A Multi-Stage NLP Framework for Knowledge Discovery from Crop Disease Research Literature

Jantima Polpinij, Manasawee Kaenampornpan, Christopher S. G. Khoo, Wei-Ning Cheng et al. • Mathematics (2026)

Extracting and organizing knowledge from the agricultural crop disease research literature are challenging tasks because of the heterogeneous terminologies, complicated symptom descriptions, and unstructured nature of scientific documents. ...

DOAJ Open Access (DOAJ) DOI: 10.3390/math14020299

Data Efficient Vision Transformer Based Model for Brain Tumor Classification in MRI

Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems (2026)

Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.570662.1424