Dihydroartemisinin induces tumor suppression in the Drosophila brain tumor with functional recovery and a rescue in lethality by Sushree Sulava, Bhavishya Vashist, Kaustubh Sawant, Debasmita Pankaj Alone

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Improved leaf area index reconstruction in heavily cloudy areas: A novel deep learning approach for SAR-Optical fusion integrating spatiotemporal features by Mingqi Li, Pengxin Wang, Kevin Tansey, Fengwei Guo, Ji Zhou

“…Secondly, the 2D CNN-Transformer predicted LAI and the Sentinel-2 LAI are input into the Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion (EDCSTFN) model to further improve the accuracy. …”
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Role of long-term geological processes in shaping flood-prone areas by Rei Itsukushima

“…Flood-prone areas are formed by geomorphological processes across various temporal and spatial scales. Analyzing data from 432 flood events since the 17th century, the study shows that geological events play a key role in predicting flood-prone areas, with impacts varying by river basin characteristics. …”
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A novel exponentially fitted finite-difference method for time-fractional singularly perturbed convection–diffusion problems with variable coefficients by Worku Tilahun Aniley, Gemechis File Duressa

“…The validity of the proposed method is illustrated through model examples. The numerical results match the theoretical predictions and demonstrate that the proposed method is more accurate than some recent existing methods.…”
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Forensic of video object removal tamper based on 3D dual-stream network by Lizhi XIONG, Mengqi CAO, Zhangjie FU

“…In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D） network was used as the feature extractor of the dual-stream network to extract the high-frequency information and low-frequency information from the high-frequency frame and the original video frame respectively.Finally， through compact bilinear pooling （CBP） layer， two sets of different feature vectors were fused into one set of feature vectors for classification prediction.The experimental results demonstrate that the classification accuracy of the proposed method in all video frames has an advantage in SYSU-OBJFORG dataset， which makes the temporal detection and location of object removal tampered video more accurate.…”
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The Multiphysics Analysis and Suppression Method for the Electromagnetic Noise of Permanent-Magnet Motors Used in Electric Vehicle by Junhong Dong, Hongbin Yin, Guohao Li, Xiaojun Wang, Mingyang Luo

“…The spatial order and frequency characteristics of the electromagnetic force are analyzed. …”
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Visibility Aware In-Hand Object Pose Tracking in Videos With Transformers by Phan Xuan Tan, Dinh-Cuong Hoang, Eiji Kamioka, Anh-Nhat Nguyen, Duc-Thanh Tran, Van-Hiep Duong, Anh-Truong Mai, Duc-Long Pham, Khanh-Toan Phan, Xuan-Tung Dinh, Tran Thi Thuy Trang, Xuan-Duong Pham, Nhat-Linh Nguyen, Thu-Uyen Nguyen, Viet-Anh Trinh, Khanh-Duong Tran, Son-Anh Bui

“…Our approach utilizes transformers to capture both spatial relationships within each frame and temporal dependencies across consecutive frames, allowing the model to aggregate information over time and improve pose predictions. …”
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Drought risks are projected to increase in the future in central and southern regions of the Middle East by Younes Khosravi, Taha B. M. J. Ouarda

“…Abstract Drought prediction is vital for sustaining water security in regions highly exposed to climate change. …”
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Ring-like Bright Monster Waves in Variable-Coefficient Partially Nonlocal Coupled NLS Equations with Directional Diffraction and External Perturbations in (3+1)D by Emmanuel Yomba

“…Partially nonlocal (PNL) variable-coefficient nonlinear Schrödinger equations (NLSEs) represent a significant area of study in mathematical physics and quantum mechanics, particularly in scenarios where potential and coefficients vary spatially or temporally. The (3+1)-dimensional partially nonlocal (PNL) coupled nonlinear Schrödinger (NLS) model, enriched with different values of two transverse diffraction profiles and subjected to gain or loss phenomena, undergoes dimensional reduction to a (2+1)-dimensional counterpart model, facilitated by a conversion relation. …”
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Deep Ultraviolet Excitation Photoluminescence Characteristics and Correlative Investigation of Al-Rich AlGaN Films on Sapphire by Zhe Chuan Feng, Ming Tian, Xiong Zhang, Manika Tun Nafisa, Yao Liu, Jeffrey Yiin, Benjamin Klein, Ian Ferguson

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Study on the simulation of bridge deformation in a mining subsidence area by Chi Zhang, Kan Wu, Shengxiang Huang, Lingai Li, Xiaokang Rao

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Mechanical feedback and robustness of apical constrictions in Drosophila embryo ventral furrow formation. by Michael C Holcomb, Guo-Jie Jason Gao, Mahsa Servati, Dylan Schneider, Presley K McNeely, Jeffrey H Thomas, Jerzy Blawzdziewicz

“…Here, we quantitatively analyze the constriction patterns preceding ventral furrow formation and find that they are consistent with the predictions of our active-granular-fluid model of a monolayer of mechanically coupled stress-sensitive constricting particles. …”
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The BIRDIES Experiment: Measuring Beryllium Isotopes to Resolve Dynamics in the Stratosphere by Sonia Wharton, Alan J. Hidy, Thomas S. Ehrmann, Wenbo Zhu, Shaun N. Skinner, Hassan Beydoun, Philip J. Cameron-Smith, Marisa Repasch, Nipun Gunawardena, Jungmin M. Lee, Ate Visser, Matthew Griffin, Samuel Maddren, Erik Oerter

“…While the spatial patterns in rainfall suggested some evidence for overshooting convection, inter-event temporal variability was clearly observed and predicted with good agreement using the 3D chemical transport model GEOS-CHEM.…”
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OTHERWORLDLY LANDSCAPES IN THE HISTORIC TEXT TRUYỀN KỲ MẠN LỤC BY NGUYEN DU by Van Hoa Pham

“…By applying landscape theory and model-setting methods, the paper analyzes and compares the richness and uniqueness of spatial movement types that create otherworldly landscapes as a hallmark of supernatural stories. …”
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Time-Series Mapping of PM10 Concentration Using Multi-Gaussian Space-Time Kriging: A Case Study in the Seoul Metropolitan Area, Korea by No-Wook Park

“…To account for the spatiotemporal autocorrelation structures of monitoring data and to model the uncertainties attached to the prediction, conventional multi-Gaussian kriging is extended to the space-time domain. …”
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Convolution Representation of Traveling Pulses in Reaction-Diffusion Systems by Satoshi Kawaguchi

“…Additionally, we consider the traveling pulses in the kernel-based Turing model. The stability of the spatially homogeneous state and most unstable wave number are examined. …”
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THE NEW “NORMAL”: TRANSFORMATION OF THE STEREOTYPE OF WORK USING ICTS AND THE OPPORTUNITIES FOR MOTIVATION DURING THE COVID-19 PANDEMIC by M. Angelova, S. Raychev

“…Background: The new reality is accelerating the business model transformation at a faster pace than ever before to ensure existential survival in a crisis for which no one was prepared. …”
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Dose–Response Functions for Assessing Corrosion Risks to Urban Heritage Materials from Air Pollution Under Climate Change: Insights from Europe and China by Zhe Bai, Yu Yan

“…European initiatives have refined DRFs to incorporate multi-pollutant and climate interactions, providing spatial risk maps and informing pollution control measures. …”
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MAD-RAPPEL: Mobility Aware Data Replacement And Prefetching Policy Enrooted LBS by Ajay K. Gupta, Udai Shanker

“…The cache replacement and invalidation module uses the next location prediction algorithm by the application of the mobility Markov model on mobile user’s trajectories. …”
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Deformation Control of Subway Tunnels Undercrossing Airport Facilities: A Case Study of the Xinzheng Airport Rail Transit Hub Project by Zhang Liqiang, Jinxing Zhao, Qi Le

“…However, the influence of soil damage on tunnel deformation is often overlooked in research on the safety of soft soil tunneling, leading to discrepancies between the results predicted by models and the actual settlement of tunnels. …”
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