Using cellular fitness to map the structure and function of a major facilitator superfamily effluxer by Anisha M Perez, Marcella M Gomez, Prashant Kalvapalle, Erin O'Brien‐Gilbert, Matthew R Bennett, Yousif Shamoo

“…The biochemical characterization of MFS proteins is hindered by their complex membrane environment that makes in vitro biochemical analysis challenging. …”
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ROLE OF VIDEO-EEG OF MONITORING IN DIAGNOSTIC EPILEPTIC AND NOT EPILEPTIC PAROXYSMAL STATES AT CHILDREN by V. I. Guzeva, O. V. Guzeva, V. V. Guzeva

“…The purpose of examination was revealing diagnostic efficiency of video-EEG monitoring for children with paroxysms. 259 children are included in examination in the age from 1 month till 18 years, from which 103 (39,8 %) girls and 156 (60,2 %) boys. …”
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Energy-Stable Time-Domain Finite Element Methods for the 3D Nonlinear Maxwell's Equations by Asad Anees, Lutz Angermann

“…In this paper, time-domain finite element methods for the full system of Maxwell's equations with cubic nonlinearities in 3D are presented, including a selection of computational experiments. The new capabilities of these methods are to efficiently model linear and nonlinear effects of the electrical polarization. …”
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Influence of System Parameters on Nonlinear Dynamic Characteristics of the Herringbone Gear Transmission Under Different Coincidence Degrees by Wang Ji, Li Zhibin, Wang Sanmin, Wang Chunling

“…The analysis of the influence of system parameters on system vibration characteristics under different coincidence degrees is of great significance for optimizing the transmission system performance, improving work efficiency and reducing fault risk. Combining meshing performance and dynamic characteristics of gear teeth, firstly, stiffness excitation and meshing impact excitation of the herringbone gear system are determined, and the lumped parameter method is used to establish the nonlinear dynamic model of the bending-torsion-shaft coupling of herringbone gear pairs under complex excitation source. …”
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STATE SCIENTIFIC-TECHNICAL POLICY IN THE PERIOD OF "THAW": A BREAKTHROUGH AND THE REASONS FOR THE DECELERATION OF MODERNIZATION by E. V. Bodrova, V. V. Kalinov

“…Moreover, large machine-building complexes with auxiliary production characterized by low economic efficiency were created. …”
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Comparative Study on Sedimentation Behavior of Polyacrylamide under Changes in Organic Matter and Clay Content in Sediment by Dong Shijun, Huang Yinghao, Wu Min

“…This study explores the settling effects of different organic synthetic flocculants (APAM, CPAM, NPAM) under varying viscous particles and organic matter content to optimize flocculant selection and improve dewatering efficiency. A volumetric sedimentation experiment evaluated flocculation performance, controlling viscous particles (15%, 35%, 55%) and organic matter (15 g/kg, 40 g/kg, 65 g/kg, 90 g/kg). …”
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Synthesis of Rhodamine TEMPO Conjugates via Isonitrile‐Based Multicomponent‐Reactions for Mitochondria‐Targeted ROS‐Detection in Cancer Cells by Haider N. Sultani, Ibrahim M. Morgan, Hidayat Hussain, Haleh H. Haeri, Dariush Hinderberger, Goran N. Kaluđerović, Bernhard Westermann

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Focal Mechanism and Moment Tensor Determination for Tsunami Early Warning Systems: A Literature Study (2018–2024) by Titi Handayani, Wijayanto, Adhi Harmoko Saputro, Mohd Asyraf Zulkifley, Dede Djuhana

“…The calculations are needed to identify fault geometry, interpret forces acting on the fault, and evaluate potential damage in affected areas. These processes are complex and time-consuming, requiring significant effort to produce accurate results. …”
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MDEU-Net: Medical Image Segmentation Network Based on Multi-Head Multi-Scale Cross-Axis by Shengxian Yan, Yuyang Lei, Jing Zhang, Xiao Gao, Xiang Li, Penghui Wang, Hui Cao

“…Additionally, a gated attention mechanism facilitates efficient feature fusion by selectively emphasizing key features rather than relying on simple concatenation and improves the model’s ability to capture critical details at multiple scales. …”
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Evaluating Bioassays for the Determination of Simvastatin’s Osteogenic Activity: A Systematic Review by Lara Steiner Back, Isabella Schönhofen Manso, Mariane Beatriz Sordi, Gabriel Leonardo Magrin, Águedo Aragonês, Ricardo de Souza Magini, Reinhard Gruber, Ariadne Cristiane Cabral Cruz

“…Objective: Osteogenic differentiation is a complex process, and its analysis requires several biomarkers. …”
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Modeling of binary nanooxides with solid solutions and mixed phases by V. M. Gun’ko

“… The electronic structure of individual metal (Ti, Al) or metalloid (Si) oxides as well as complex (binary, ternary, etc.) oxides is of importance from a practical point of view. …”
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Possibilities of statistical methodology in the study of economic security of the region by Dmitry V. Dianov, Elena A. Radugina

“…These are demographic and resource indicators, and the results and efficiency of the economic complex. The use of the designated statistical tools allowed obtaining such results as justification of analytical capabilities and approbation of statistical methods in the study of economic security of the Moscow region; formation of clusters, consisting of homogeneous municipal districts of the Moscow region, designated as clustering units; calculation of relative analytical indicators; construction and interpretation of regression models.Conclusion: the complex of the obtained results and conclusions, as well as the scientifically based algorithm of statistical tools application, tested in the work, are undoubtedly an important information component in the management of economic and financial security not only in the Moscow region, but also in any region, both in the Central Federal district and in the whole central Russia.…”
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Context-Adaptable Deployment of FastSLAM 2.0 on Graphic Processing Unit with Unknown Data Association by Jessica Giovagnola, Manuel Pegalajar Cuéllar, Diego Pedro Morales Santos

“…The parallelization process involves identifying the parameters affecting the computational complexity in order to distribute the computation among single multiprocessors as efficiently as possible. …”
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Swin-FSNet: A Frequency-Aware and Spatially Enhanced Network for Unpaved Road Extraction from UAV Remote Sensing Imagery by Jiwu Guan, Qingzhan Zhao, Wenzhong Tian, Xinxin Yao, Jingyang Li, Wei Li

“…However, unpaved roads often face challenges such as blurred boundaries, low contrast, complex shapes, and a lack of publicly available datasets. …”
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The Role of Hydroxyl Modification of Peptidoglycan to Reduce the TTX Toxicity via Superior Absorption by Chang’e Wang, Yi Guo, Lili Zhang, Junjian Miao, Ying Lu

“…Peptidoglycan (PG) of lactic acid bacteria could adsorb TTX; however, its complex structure and poor solubility limited adsorption efficiency. …”
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Numerical solution of base shear in high tensioned cable antenna by Seyed Amirodin Sadrnejad

“…This numerical procedure is applicable to analyze complex three dimensional assemblies of substructures of such similar complex structures. …”
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ACU-Net: Attention-based convolutional U-Net model for segmenting brain tumors in fMRI images by Md Alamin Talukder, Md Abu Layek, Md Aslam Hossain, Md Aminul Islam, Mohammad Nur-e-Alam, Mohsin Kazi

“…This study introduces the attention-based convolutional U-Net (ACU-Net) model, designed to improve segmentation accuracy and efficiency in fMRI images by incorporating attention mechanisms that selectively highlight critical features while preserving spatial context. …”
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Targeting mTOR Kinase with Natural Compounds: Potent ATP-Competitive Inhibition Through Enhanced Binding Mechanisms by Sulaiman K. Marafie, Eman Alshawaf, Fahd Al-Mulla, Jehad Abubaker, Anwar Mohammad

“…The conformational stability and dynamic features of the mTOR-KD bound to the selected compounds were tested by subjecting each complex to 200 ns molecular dynamic (MD) simulations and molecular mechanics/generalized Born surface area (MM/GBSA) to extract free binding energies. …”
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Machine learning-based model for acute asthma exacerbation detection using routine blood parameters by Youpeng Chen, Junquan Sun, Yabang Chen, Enzhong Li, Jiancai Lu, Huanhua Tang, Yifei Xie, Jiana Zhang, Lesi Peng, Haojie Wu, Zhangkai J. Cheng, Baoqing Sun

“…Results: The Generalized Linear Model Boosting combined with Random Forest (glmBoost + RF) algorithm using 14 variables achieved comparable performance (Area Under the Curve [AUC] = 0.981) to the more complex Least Absolute Shrinkage and Selection Operator combined with Random Forest (Lasso + RF) algorithm using 25 variables (AUC = 0.985). …”
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Target-agnostic identification of human antibodies to Plasmodium falciparum sexual forms reveals cross-stage recognition of glutamate-rich repeats by Axelle Amen, Randy Yoo, Amanda Fabra-García, Judith Bolscher, William JR Stone, Isabelle Bally, Sebastián Dergan-Dylon, Iga Kucharska, Roos M de Jong, Marloes de Bruijni, Teun Bousema, C Richter King, Randall S MacGill, Robert W Sauerwein, Jean-Philippe Julien, Pascal Poignard, Matthijs M Jore

“…It is well established that antibodies can efficiently block parasite transmission. In search for naturally acquired antibodies targets on sexual stages, we established an efficient method for target-agnostic single B cell activation followed by high-throughput selection of human monoclonal antibodies (mAbs) reactive to sexual stages of Pf in the form of gametes and gametocyte extracts. …”
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