Immunohistochemical Detection of Tentonin-3/TMEM150C in Human Dorsal Root Ganglion, Cutaneous End-Organ Complexes, and Muscle Spindles by Iván Suazo, Yolanda García-Mesa, José Martín-Cruces, Patricia Cuendias, Teresa Cobo, Olivia García-Suárez, José A. Vega

“…It has been detected in murine dorsal root ganglia, nodose ganglion baroreceptors, and muscle spindles. …”
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The root canal morphology of mandibular anterior teeth and its correlation with the occurrence of three-rooted mandibular first molars by ZHU Peng, GU Yongchun, WU Yihan, XU Xiaoming

“…The frequency of three-rooted mandibular first molars was 24.6%; gender difference was not detected (P>0.05), while the incidence was significantly higher at the right side (29.0%) than the left side (20.3%)(P<0.05). …”
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Application of Electrical Resistivity Tomography for Detecting Root Biomass in Coffee Trees by Carlos Mauricio Paglis

“…The aim of this preliminary study was to use electrical resistivity for detecting root biomass in coffee trees. Measurements were performed in a soil transect with an ABM AL 48-b resistivimeter with a pole-dipole configuration. …”
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Micro-computed tomography analysis and ex-vivo detection of six root canals in a four-rooted mandibular first premolar by Hany Mohamed Aly Ahmed, Mohideen Salihu Farook

“…The different anatomical presentations demonstrated in the 2D and 3D measurements of the six canals presented in this report signifies the anatomical variabilities, which could complicate the detection and negotiation of canals during root canal treatment. …”
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Ex vivo accuracy of three electronic root canal length measurement devices: X-smart pro+, root ZX mini, and propex pixi by Muhammed Ayhan, Berkehan Aykanat

“…To address this gap in literature, our study aimed to evaluate and compare the accuracy of three electronic apex locators (EALs) (X-Smart Pro+, Root ZX mini, and Propex Pixi) in determining apical constriction ex vivo. …”
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Recombinase Polymerase Amplification assay for detection of the British root-knot nematode, Meloidogyne artiellia by Subbotin Sergei A., Palomares-Rius Juan E., Castillo Pablo

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Detection of wheat damping off and root rot disease pathogenic fungi and it bio control by pseudomonas fluorescens by Baghdad Science Journal

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Detection and Identification of Degradation Root Causes in a Photovoltaic Cell Based on Physical Modeling and Deep Learning by Mohand Djeziri, Ndricim Ferko, Marc Bendahan, Hiba Al Sheikh, Nazih Moubayed

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Three-dimensional evaluation of root canal morphology of maxillary first premolars: Micro–computed tomographic study by Mohammad Ahmad Alenezi, Saad Abdulaziz Al-Nazhan, Mohammad Ahmad Al-Omari

“…Results: The number of roots was one root (57 %), two roots (41 %), and three roots (2 %). …”
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Diffusion tensor imaging at 3T for diagnosing root avulsion in adults with acute traumatic brachial plexus injuries by Ryckie G. Wade, Irvin Teh, David Shelley, Robert D. Bains, James D. Bedford, Lucy E. Homer Newton, Chye Yew Ng, Grainne Bourke

“…Similarly, avulsed roots had higher radial diffusivity than injured in-continuity roots (mean difference 0·30 x10−3 mm2/s [CI 0·01–0·60]) and contralateral uninjured roots (mean difference 0·36 x10−3 mm2/s [CI 0·7–0·64]). …”
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Anomaly Detection and Root Cause Analysis in Cloud-Native Environments Using Large Language Models and Bayesian Networks by Diego Frazatto Pedroso, Luis Almeida, Lucas Eduardo Gulka Pulcinelli, William Akihiro Alves Aisawa, Ines Dutra, Sarita Mazzini Bruschi

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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

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Automatic detection of orthodontically induced external root resorption based on deep convolutional neural networks using CBCT images by Shuxi Xu, Houli Peng, Lanxin Yang, Wenjie Zhong, Xiang Gao

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Restoring South African subtropical succulent thicket using Portulacaria afra: rooting variation across three soil types by Alastair J. Potts, Duncan Liddell, Catherine E. Clarke, Nicholas C. Galuszynski

“…Results Significant differences in root dry weight were detected (all tests: F5,74 = 4.11–11.45, p < 0.01). …”
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Automated Detection of Deviations in Bankruptcy Processes Using Process Mining by Ivan P. Malashin, Igor S. Masich, Daniel A. Ageev, Dmitriy A. Evsyukov, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin, Vadim S. Tynchenko

“…An automated framework is proposed that addresses three key tasks: 1) the detection of deviations in process execution, 2) the identification of root causes behind these deviations, and 3) the verification of process conformance to predefined regulatory standards. …”
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Deep Learning-Based Ground-Penetrating Radar Inversion for Tree Roots in Heterogeneous Soil by Xibei Li, Xi Cheng, Yunjie Zhao, Binbin Xiang, Taihong Zhang

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YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images by Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian

“…The detection of small voids or defects in X-ray images of tooth root canals still faces challenges. …”
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Machine Learning Models in the Detection of MB2 Canal Orifice in CBCT Images by Shishir Shetty, Meliz Yuvali, Ilker Ozsahin, Saad Al-Bayatti, Sangeetha Narasimhan, Mohammed Alsaegh, Hiba Al-Daghestani, Raghavendra Shetty, Renita Castelino, Leena R David, Dilber Uzun Ozsahin

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Root and canal-specific features of maxillary first molars with fused roots by Beljić-Ivanović Katarina, Karadžić Branislav

“…In fused roots, two or three canals most frequently correlated strongly with the number of major apical foramina. …”
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Reliability of Periapical Radiographs and Orthopantomograms in Detection of Tooth Root Protrusion in the Maxillary Sinus: Correlation Results with Cone Beam Computed Tomography by Bassam A. Hassan

“…Four observers assessed the relationship between the apex of tooth root and the maxillary sinus per tooth on PA radiographs, OPG and CBCT images using the following classification: root tip is in the sinus (class 1), root tip is against the sinus wall (class 2) and root tip is not in the sinus (class 3).Results: Overall correlation between OPG and CBCT images scores was 50%, 26% and 56.1% for class 1, class 2 and class 3, respectively (Cohen’s kappa [weighted] = 0.1). …”
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