Synergistic effects of human umbilical cord mesenchymal stem cells/neural stem cells and epidural electrical stimulation on spinal cord injury rehabilitation by Zhiping Mu, Jiaodi Qin, Xiaohua Zhou, Kunzheng Wang

“…We then explored cell interaction mechanisms using proliferation assays, differentiation assays, and neuron complexity analysis. For animal experiments, 40 C57BL/6 mice were assigned to four groups (Injury/EES/CT/Combination). …”
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Fracture Mechanics-Based Modelling of Tool Wear in Machining Ti6Al4V Considering the Microstructure of Cemented Carbide Tools by Hossein Gohari, Bin Shi, M. Helmi Attia, Rachid M’Saoubi

“…The developed model can predict tool life under different cutting conditions, tool geometries, and microstructure properties. Analysis of results showed that the error for the straight cuts was less than 6%, while for the complex cuts, it reached up to 20%. …”
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Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology by Julia Lasek, Karolina Nurzynska, Adam Piórkowski, Michał Strzelecki, Rafał Obuchowicz

“…Conclusions: The model exhibited potential as a reliable tool for clinical use, demonstrating accuracy in TMJ ultrasonographic analysis. This study underscores the ability of AI-driven segmentation and measurement algorithms to bridge existing gaps in ultrasonographic imaging and lays the foundation for broader clinical applications.…”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…A custom dataset of 960 road crack images was added to the public dataset to train and evaluate the model. …”
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A dual role of Cohesin in DNA DSB repair by Michael Fedkenheuer, Yafang Shang, Seolkyoung Jung, Kevin Fedkenheuer, Solji Park, Davide Mazza, Robin Sebastian, Hiroyuki Nagashima, Dali Zong, Hua Tan, Sushil Kumar Jaiswal, Haiqing Fu, Anthony Cruz, Supriya V. Vartak, Jan Wisniewski, Vittorio Sartorelli, John J. O’Shea, Laura Elnitski, Andre Nussenzweig, Mirit I. Aladjem, Fei-Long Meng, Rafael Casellas

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Brain structural differences between fibromyalgia patients and healthy control subjects: a source-based morphometric study by Elijah Agoalikum, Hongzhou Wu, Benjamin Klugah-Brown, Michael Maes

“…Source-based morphometry (SBM) was applied to structural magnetic resonance imaging (sMRI) data consisting of 20 FM patients (46.4 ± 12.5), and age and gender-matched 20 HC subjects (42.1 ± 12.5). …”
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Urban street network morphology classification through street-block based graph neural networks and multi-model fusion by Yang Liu, Qingsheng Guo, Chuanbang Zheng

“…The CNN extracts visual features from monochrome images of the street network, and the MLP computes global descriptors using OSMnx and NetworkX to extract global features. …”
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Does the initial GCS of patients with brain arteriovenous malformations impact their postoperative functional outcomes? A single-center study experience and literature review by Alireza Tabibkhooei, Mansour Parvaresh, Mehdi Haghshenas, Mohammad Yavari, Kimia Didehvar, Parisa Javadnia

“…Abstract Aim Brain arteriovenous malformations (AVMs) represent a complex vascular anomaly that carries a significant risk of complications. …”
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Comparing Zinc Oxide- and Zinc Silicate-Related Metal-Organic Networks via Connection-Based Zagreb Indices by Muhammad Tanveer Hussain, Muhammad Javaid, Usman Ali, Ali Raza, Md Nur Alam

“…Metal-organic networks (MONs) are among the unique complex and porous chemical compounds. So, these chemical compounds consist of metal ions (vertices) and organic ligands (edges between vertices). …”
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Enabling additive manufacturing part inspection of digital twins via collaborative virtual reality by Vuthea Chheang, Saurabh Narain, Garrett Hooten, Robert Cerda, Brian Au, Brian Weston, Brian Giera, Peer-Timo Bremer, Haichao Miao

“…Abstract Digital twins (DTs) are an emerging capability in additive manufacturing (AM), set to revolutionize design optimization, inspection, in situ monitoring, and root cause analysis. AM DTs typically incorporate multimodal data streams, ranging from machine toolpaths and in-process imaging to X-ray CT scans and performance metrics. …”
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Addressing data scarcity in nanomaterial segmentation networks with differentiable rendering and generative modeling by Dennis Possart, Leonid Mill, Florian Vollnhals, Tor Hildebrand, Peter Suter, Mathis Hoffmann, Jonas Utz, Daniel Augsburger, Mareike Thies, Mingxuan Gu, Fabian Wagner, George Sarau, Silke Christiansen, Katharina Breininger

“…Deep learning segmentation networks offer precise, automated analysis, but their effectiveness depends on representative annotated datasets, which are difficult to obtain due to the high cost and manual effort required for imaging and annotation. …”
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Revealing the sequence and resulting cellular morphology of receptor-ligand interactions during Plasmodium falciparum invasion of erythrocytes. by Greta E Weiss, Paul R Gilson, Tana Taechalertpaisarn, Wai-Hong Tham, Nienke W M de Jong, Katherine L Harvey, Freya J I Fowkes, Paul N Barlow, Julian C Rayner, Gavin J Wright, Alan F Cowman, Brendan S Crabb

“…To investigate specific receptor-ligand interactions, they were systematically blocked using a combination of genetic deletion, enzymatic receptor cleavage and inhibition of binding via antibodies, peptides and small molecules, and the resulting temporal changes in invasion and morphological effects on erythrocytes were filmed using live cell imaging. Analysis of the videos have shown receptor-ligand interactions occur in the following sequence with the following cellular morphologies; 1) an early heparin-blockable interaction which weakly deforms the erythrocyte, 2) EBA and PfRh ligands which strongly deform the erythrocyte, a process dependant on the merozoite's actin-myosin motor, 3) a PfRh5-basigin binding step which results in a pore or opening between parasite and host through which it appears small molecules and possibly invasion components can flow and 4) an AMA1-RON2 interaction that mediates tight junction formation, which acts as an anchor point for internalization. …”
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The Helical Compliance Vector: Utility for Quantifying Spinal Mechanics by Matthew R. MacEwen, Rebecca E. Abbott, Victor H. Barocas, Arin M. Ellingson

“…The Kemp's test demonstrated the HCV's ability to capture complex coupled motions, combining lateral bending and axial rotation motion. …”
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Investigation of the possibility to compensate for the blooming effect in CCD optical spectral sensors by Anatolii Yegorov, Vadym Yegorov, Sergey Yegorov, I. E. Sinelnikov

“…The role of blooming effect is shown on different complex spectral reliefs. The aim of this work was to carry out comparative studies of the dynamic range of sensors depending on the presence of anti-blooming, as well as to develop ways to expand the dynamic range during spectrophotometric measurements. …”
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mRNA Trafficking in the Nervous System: A Key Mechanism of the Involvement of Activity-Regulated Cytoskeleton-Associated Protein (Arc) in Synaptic Plasticity by Michal Fila, Laura Diaz, Joanna Szczepanska, Elzbieta Pawlowska, Janusz Blasiak

“…Recent studies with single-molecule imaging in live neurons confirmed and extended the role of Arc mRNA trafficking in synaptic plasticity.…”
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High resolution X-ray microtomography as a tool for observation and classification of individual microplastics by Átila de Paiva Teles, Marcus Vinicius Santos da Silva, Davi Ferreira de Oliveira, Ricardo Tadeu Lopes

“…These MPs contaminate various ecosystems, including water bodies, soils, and even the atmosphere. Understanding the complex structures of MPs is essential, but their heterogeneity makes characterization challenging. …”
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An Optimally Oriented Coherence Attribute Method and Its Application to Faults and Fracture Sets Detection in Carbonate Reservoirs by Shuai Chen, Shengjun Li, Qi Ma, Lu Qin, Sanyi Yuan

“…Overall, the OOCA method offers a geologically consistent and computationally efficient solution for high-resolution fault interpretation and drilling risk prediction in structurally complex carbonate reservoirs.…”
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Biomarker-Driven Approaches to Bone Metastases: From Molecular Mechanisms to Clinical Applications by Youssef Elshimy, Abdul Rahman Alkhatib, Bilal Atassi, Khalid S. Mohammad

“…This review provides a comprehensive analysis of the complex interactions between tumor cells and the bone microenvironment, emphasizing the relevance of the “seed and soil” hypothesis, the RANK/RANKL/OPG signaling axis, and Wnt signaling pathways that collectively drive metastatic progression. …”
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A Comparative Study of Three-Dimensional Flow Based, Geometric, and Empirical Tortuosity Models in Carbonate and Sandstone Reservoirs by Benedicta Loveni Melkisedek, Yoevita Emeliana, Irwan Ary Dharmawan

“…The analysis encompassed 1963 micro-Computed Tomography (micro-CT) images of Brazilian pre-salt carbonate and sandstone samples, with the effective porosity extracted from LBM velocity fields, isolating flow-contributing pores, establishing streamline tortuosity as the reference standard. …”
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Algorithm for Control of Unmanned Aerial Vehicles in the Process of Visual Tracking of Objects with a Variable Movement’s Trajectory by A. A. Adnastarontsau, D. A. Adnastarontsava, R. V. Fiodortsev, D. V. Katser, A. Y. Liavonau, D. V. Romanov, D. N. Tcherniakovski, A. О. Mikhailau

“…Stability of tracking of observation objects at a distance of up to 10000 m is ensured by the use of a multispectral optoelectronic system including a rangefinder, thermal imaging and two visual channels.Analysis of the object of observation and the method of its support are carried out. …”
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