On discrete Lorenz attractors of various types by Gonchenko, Aleksandr Sergeevich

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First fine mapping of a strain of Rhizoctonia Solani AG-3, causing tobacco target spot by Pan Ma, Mengjuan Qiu, Rubing Xu, Zhao Wang, Tom Hsiang, Junbin Huang, Lu Zheng, Yanyan Li

“…The objective of this work was to generate the first fine mapping of a R. solani AG-3 strain from tobacco and to explore potential virulence genes, which will lay the foundation for genetic characterization and its interaction with tobacco. …”
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Glare suppressed 3D mapping system based on linear polarization filtering and binocular vision fusion by Keyuan Zhao, Haiyang Qiu, Cheng Gao, Lili Jiang

“…Abstract To address the problem of large errors in 3D maps caused by mismatching due to white flares formed through specular reflections on smooth object surfaces during digital image acquisition, we propose applying the polarization principle to filter out the orthogonally polarized component of linearly polarized light in the reflected light, thereby reducing or eliminating the white flare area. …”
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Integration of HD Maps and Point Clouds: An Efficient 3D Reconstruction Framework for Autonomous Driving Applications by G. Bardak, M. Sodano, M. Scholz

“…In this paper, we propose a lightweight 3D synthetic point cloud reconstruction methodology from existing real-world HD maps in the ASAM OpenDRIVE data format by using the Geospatial Data Abstraction Library (GDAL). …”
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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

Subjects: “…Self-organizing map (SOM)…”
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Mapping strain and structural heterogeneities around bubbles in amorphous ionically conductive Bi2O3 by Ellis Rae Kennedy, Stephanie M. Ribet, Ian S. Winter, Caitlin A. Kohnert, Yongqiang Wang, Karen C. Bustillo, Colin Ophus, Benjamin K. Derby

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Automated 3D room mapping and real-time corner detection for Android-based AR systems by Balakrishnan Ramalingam, Abraham Sudharson Ponraj, Mukund Sharma, Rishabh Sharma, Mohamed Nabeel, Shivanshu Upadhyay, Mahapatra Aditya, Siddhant Arora, Mohanaprasad Kothandaraman

“…Among the most crucial factors in AR application success lies the accurate mapping of 3D space and correct corner detection. …”
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Mapping curvature domains in human V4 using CBV-sensitive layer-fMRI at 3T by Elisa Zamboni, Elisa Zamboni, Isaac Watson, Isaac Watson, Rüdiger Stirnberg, Laurentius Huber, Elia Formisano, Rainer Goebel, Aneurin J. Kennerley, Antony B. Morland, Antony B. Morland, Antony B. Morland

“…V4 curvature preference maps for VASO show strong modular organization compared to BOLD imaging contrast. …”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…The paper studies the real-time stereo image-based localization of a vehicle in a prior 3D LiDAR map. A novel localization approach for mobile ground robot, which successfully combines conventional computer vision techniques, neural network based image analysis and numerical optimization, is proposed. …”
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Adaptive high-resolution mapping of air pollution with a novel implicit 3D representation approach by Ting Zhang, Bo Zheng, Ruqi Huang

“…Here, we introduce Height-Field Signed Distance Function (HF-SDF), an innovative 3D implicit representation, to reconstruct air pollution concentration maps from coarse, incomplete data, which achieves both extensive spatial coverage and fine-scale results with powerful transferability. …”
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Apoptosis mapping in space and time of 3D tumor ecosystems reveals transmissibility of cytotoxic cancer death. by Irina Veith, Arianna Mencattini, Valentin Picant, Marco Serra, Marine Leclerc, Maria Colomba Comes, Fathia Mami-Chouaib, Jacques Camonis, Stéphanie Descroix, Hamasseh Shirvani, Fatima Mechta-Grigoriou, Gérard Zalcman, Maria Carla Parrini, Eugenio Martinelli

“…The here described open-source computational method, named STAMP (spatiotemporal apoptosis mapper), extracts the temporal kinetics and the spatial maps of cancer death, by localizing and tracking cancer cells in the red channel, and by counting the red to green transition signals, over 2-3 days. …”
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Enhancing Drone Navigation and Control: Gesture-Based Piloting, Obstacle Avoidance, and 3D Trajectory Mapping by Ben Taylor, Mathew Allen, Preston Henson, Xu Gao, Haroon Malik, Pingping Zhu

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Detecting Clinically Significant Prostate Cancer in PI-RADS 3 Lesions Using T2w-Derived Radiomics Feature Maps in 3T Prostate MRI by Laura J. Jensen, Damon Kim, Thomas Elgeti, Ingo G. Steffen, Lars-Arne Schaafs, Matthias Haas, Lukas J. Kurz, Bernd Hamm, Sebastian N. Nagel

“…A better detection of the infrequently occurring clinically significant prostate cancer (csPCa) in PI-RADS 3 lesions is an important objective. The purpose of this study was to evaluate if feature maps calculated from T2-weighted (T2w) 3 Tesla (3T) MRI can help detect csPCa in PI-RADS category 3 lesions. …”
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Epigenome Mapping in Quiescent Cells Reveals a Key Role for H3K4me3 in Regulation of RNA Polymerase II Activity by Shengyuan Zeng, Karl Ekwall

“…We use ChIP-seq methodology and several different bioinformatics tools. (3) Results: The histone modification mapping data show that H3K4me3 changes stand out as being the most significant. …”
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Mapping Seagrass Percent Cover And Biomass In Nusa Lembongan, Bali, Indonesia by Devica Natalia Br Ginting, Pramaditya Wicaksono, Nur Mohammad Farda

“…However, nationwide data on its carbon stock remains elusive due to limitations and challenges in data collection and mapping. Seagrass percent cover and biomass, which were closely related with above-ground carbon stock, can be effectively mapped and monitored using remote sensing techniques. …”
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Inc-DLOM: Incremental Direct LiDAR Odometry and Mapping by Kaiduo Fang, Rui Song, Ivan Wang-Hei Ho

“…To address these issues, we propose the method of Incremental Direct LiDAR Odometry and Mapping (Inc-DLOM). Our proposed Inc-DLOM has the following key contributions: 1) a voxel-to-voxel (V2V) scan matching scheme for scan-to-scan transform estimation; 2) the Incremental Voxel Mapping (IVM) method to incrementally update and maintain the historical mapping information; 3) the Incremental GICP solver to refine the global pose by IVM. …”
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Field Evaluation of an Autonomous Mobile Robot for Navigation and Mapping in Forest by Diego Tiozzo Fasiolo, Lorenzo Scalera, Eleonora Maset, Alessandro Gasparetto

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PtrA, Piz-t, and a novel minor-effect QTL (qBR12_3.3–4.4) collectively contribute to the durable blast-resistance of rice cultivar Tainung 84 by Sheng-Shan Wang, Wei-Bin Chang, Ming-Chien Hsieh, Szu-Yu Chen, Dah-Jing Liao, Ching-Ying Liao, Wei-Chiang Shen, Hong-Hua Chen, Chieh-Yi Chen, Yi-Chia Chen, Yueh-Lin Lin, Chih-Wei Tung, Ruey-Shyang Chen, Chia-Lin Chung

“…Results Quantitative trait locus (QTL) mapping was conducted using 122 F2 individuals and F2:3 families derived from the cross of TNG84 and a susceptible japonica cultivar Tainan 11 (TN11). …”
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A Selective MAP3K1 Inhibitor Facilitates Discovery of NPM1 as a Member of the Network by Lidia Boghean, Sarbjit Singh, Kiran K. Mangalaparthi, Smitha Kizhake, Lelisse Umeta, Donn Wishka, Paul Grothaus, Akhilesh Pandey, Amarnath Natarajan

Subjects: “…MAP3K1 inhibitor…”
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Algoritma Enkripsi Dan Embedding Citra Digital Menggunakan Logistic Map-3 Dan Least Siginificant BIT by Edi Sukirman, Suryadi MT, Rindang R Pratiwi

“…Teknik enkripsi yang digunakan dalam penelitian ini adalah fungsi chaos Logistic map-3 dan teknik penyisipan data Least Significant Bit-1 terhadap data berupa citra digital. …”
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