Comparison of the Effect of Resistance, Swimming, and Combination Training Patterns on Bone Density in Female Osteoporotic Rats by Fatemeh Zeidabadi, Maryam Banparvari, Omid Mohammaddoost

“…Introduction: The aim of the study was to compare the effects of resistance, swimming, and combined training patterns on L5 vertebral mineral density in osteoporotic rats. …”
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Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy by Aliyah Habashy, Christopher Acree, Keun-Young Kim, Ali Zahraei, Martin Dufresne, Sebastien Phan, Melanie Cutler, Emilee Patterson, Alexandra G. Mulligan, Kristopher Burkewitz, Charles Robert Flynn, Louise Lantier, Thomas Deerinck, Owen P. McGuinness, Jeffrey M. Spraggins, Mark H. Ellisman, Rafael Arrojo e Drigo

“…This approach reveals the cellular and organellar features underlying the spatial pattern of glucose 13C flux in hepatocytes in situ, including the timeline of mitochondria-ER contact dynamics in response to changes in blood glucose levels, and the discovery of the ultrastructural relationship between glycogenesis and lipid droplets.…”
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Automated Identification of Cyclic Alternating Patterns of Sleep Using Fusion of VGG16 and Vision Transformer by Hardik Telangore, Ashutosh Kumar Jha, Prithviraj Verma, Manish Sharma, Chakka Sabareesh, Ankit A. Bhurane, Hasan S. Mir, U. Rajendra Acharya

“…An automated system is crucially needed to identify Cyclic Alternating Pattern (CAP) phases A and B, which are pivotal in assessing sleep depth and stability, enhancing the understanding of sleep and diagnosing sleep disorders. …”
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Exoskeleton-guided passive movement elicits standardized EEG patterns for generalizable BCIs in stroke rehabilitation by Xinyi Zhang, Lanfang Xie, Wanting Liu, Shaoying Liang, Liyao Huang, Mingjun Wang, Lingling Tian, Li Zhang, Zhen Liang, Hai Li, Gan Huang

“…Time and time-frequency domain analyses were performed to examine the event-related potential (ERP), event-related desynchronization (ERD), and synchronization (ERS) patterns. The performance of two BCI algorithms, Common Spatial Patterns (CSP) and EEGNet, was evaluated in both within-subject and cross-subject decoding tasks. …”
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Transcriptional Patterns of Nodal Entropy Abnormalities in Major Depressive Disorder Patients with and without Suicidal Ideation by Minxin Guo, Heng Zhang, Yuanyuan Huang, Yunheng Diao, Wei Wang, Zhaobo Li, Shixuan Feng, Jing Zhou, Yuping Ning, Fengchun Wu, Kai Wu

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Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults by Diego Robles Cruz, Andrea Lira Belmar, Anthony Fleury, Méline Lam, Rossana M. Castro Andrade, Sebastián Puebla Quiñones, Carla Taramasco Toro

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INCREASING OF DIMENSIONALLY-GEOMETRICAL PARAMETERS AND TECHNOLOGICAL CHARACTERISTICS OF INVESTMENT MOLDS IN CASTING UNDER DISPENSABLE PATTERNS by I. G. Sapchenko, S. G. Zhilin, G. M. Savastjanov

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Reverse Determination of Face-milling Cutter Radius of Curvilinear Cylindrical Gears Using Contact Pattern by Zhang Xuegang, Dong Yingjie

“…To design a curvilinear cylindrical gear with arbitrary tooth surface contact pattern, a method for determining the radius of a disc-shaped milling cutter for machining the curvilinear cylindrical gear was proposed based on the reverse determination of the required dimensions of the contact pattern. …”
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THE PRODUCTION OF COMPLEX PROFILE DETAILS BY COMBINED METHOD OF LOST-WAX CASTING AND OF CONSUMABLE PATTERN MODELS by O. I. Shinsky, I. I. Maksyuta, Yu. G. Kvasnitskaya, E. V. Mikhnyan, A. V. Neyma

“…The technological process of receiving figurine castings of a heat resisting alloy HN57KTVYuMBL brand developed and tested by authors a combined method of oflost-wax casting (pouring gate system) and of consumable expanded polystyrene pattern in shell forms kompleks modify ceramics promotes decrease in crack formation of forms at the expense of correctly picked up temperature and time mode of annealing of a form with model. …”
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Improving Stream Solute Predictions With a Modified LSTM Model Incorporating Solute Interdependences and Hysteresis Patterns by Tarun Agrawal, Allison Goodwell, Praveen Kumar

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Fingerprint patterns of human brain activity reveal a dynamic mix of emotional responses during virtual intergroup encounters by Gloria Mendoza-Franco, Inga Jasinskaja-Lahti, Matthias B. Aulbach, Ville J. Harjunen, Anna Peltola, J. Niklas Ravaja, Matilde Tassinari, Saana Vainio, Iiro P. Jääskeläinen

“…In this study, we used machine learning to identify emotional brain patterns using functional magnetic resonance imaging. …”
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ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

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A multi-filter deep transfer learning framework for image-based autism spectrum disorder detection by Rodrigo Colnago Contreras, Monique Simplicio Viana, Victor José Souza Bernardino, Francisco Lledo dos Santos, Önsen Toygar, Rodrigo Capobianco Guido

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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

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Advanced Leaf Classification Using Multi-Layer Perceptron for Smart Crop Management by Sara Mumtaz, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Bayan Alabdullah, Haifa F. Alhasson, Hui Liu

Subjects: “…Pattern recognition…”
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Comprehensive dataset of Portuguese folk instruments for computer vision and heritage researchMendeley Data by Luis Augusto Silva Zendron, Héctor Sánchez San Blas, André Filipe Sales Mendes, Diego M. Jiménez-Bravo, Álvaro Lozano Murciego

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Fine identification of vegetation types in open pit mining regions using combined UAV RGB imagery and LiDAR point cloud data by Suling He, Yuncheng Deng, Jinliang Wang, Mengjia Luo

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Morphology reconstruction from experimental small-angle x-ray scattering patterns by physics-aware neural network by Chenhao Zhao, Shenyang Sun, Xueqing Han, Jianhe Zhu, Wancheng Yu, Liangbin Li

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Modulation pattern recognition method of wireless communication automatic system based on IABLN algorithm in intelligent system. by Ting Xie, Xing Han

“…The aim of this study is to address the limitations of convolutional networks in recognizing modulation patterns. These networks are unable to utilize temporal information effectively for feature extraction and modulation pattern recognition, resulting in inefficient modulation pattern recognition. …”
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The Impact of Various Filling Patterns and Building Orientations on the Mechanical Characteristics and Building Time of PLA Using FDM by M. Hamoud, Sachin Salunkhe, Lenka Cepova, H. M. A. Hussien

“…The results show that the filling pattern, orientation, and density at which the part is built significantly affect the strength, hardness, and building time. …”
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