Numerical Simulation of Cracking Behavior of Precracked Rock under Mechanical-Hydraulic Loading by Zhong Zhang, Chun-Chi Ma, Tianbin Li, Tao Song, Huilin Xing

“…In this study, an advanced in-house finite element code PANDAS proved to be effective in simulating coupled fracturing processes under complex geological conditions was used to simulate the cracking propagation of the precracked rocks under mechanical loading and mechanical-hydraulic loading with different strength parameters. …”
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PoulTrans: a transformer-based model for accurate poultry condition assessment by Jun Li, Bing Yang, Junyang Chen, Jiaxin Liu, Felix Kwame Amevor, Guanyu Chen, Buyuan Zhang, Xiaoling Zhao

“…Our code is available at: https://github.com/kong1107800/PoulTrans .…”
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African water body segmentation with cross-layer information separability based feature decoupling transformer by Binghao Liu, Qi Zhao, Chunlei Wang, Meng Li, Hongbo Xie, Lijiang Chen

“…Deep neural networks (DNNs) based remote sensing water segmentation models are helpful for the observation and effective use of water resources. However, African water segmentation task faces three major challenges: the lack of data, existence of many small water bodies and high similarity between water and background. …”
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Robust face forgery detection integrating local texture and global texture information by Rongrong Gong, Ruiyi He, Dengyong Zhang, Arun Kumar Sangaiah, Mohammed J. F. Alenazi

“…We conduct extensive experiments on various benchmark datasets and compare our method with recent state-of-the-art (SOTA) methods to demonstrate its effectiveness. Our code will be provided at https://github.com/hryyyy/MST .…”
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Numerical optimization by the PFEMCT-SIF method of the crack propagation of a linear elastic material by Mohammed Bentahar, Noureddine Mahmoudi, Youcef Moulai Arbi

“…Conclusions: The PFEMCT-SIF method effectively evaluates SIFs and predicts crack propagation paths. …”
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Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank by Annabel Smith, Jack J. Miller, Daniel C. Anthony, Daniel E. Radford-Smith

“…Overall, we demonstrate that the integration of biological and psychosocial risk factors is an effective tool to screen for and predict anxiety disorder onset in the general population.…”
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Mixed convection and heat transfer in williamson fluid bounded by nonlinear curved surface with heat sink/source by A. Divya, Abdulaziz Alasiri, Muhammad Jawad, Hakim AL Garalleh

“…To check the reliability and legality of applied bvp4c code and upcoming outcomes a comparison with surviving literature has been prepared. …”
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Sustainable pathways in Indonesia's palm oil industry through historical institutionalism by Annisa Joviani Astari, Jon C. Lovett, Meditya Wasesa

“…This research contributes to the literature on institutional change and offers insights for policymakers aiming to design effective strategies that stimulate sustainable practices in the palm oil industry.…”
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A Novel Dataset for Polyp Segmentation and Detection Using a Vision-Language Model by Mahdiyeh Alilou, Javad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi, Alireza Khafaf

“…Colonoscopy is one of the most effective methods for the detection of polyps, and deep learning algorithms can be utilized for colonoscopy image processing. …”
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Representativity studies of GEN-III large cores to ZPR experiments with respect to nuclear data by Njayou Tsepeng Eric Karson, Blaise Patrick, Couyras David, Argaud Jean-Philippe, Clouvel Laura, Dos Santos Nicolas

“…The paper focuses on the effective multiplication factor and the center over periphery fission rate ratio. …”
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Medical image segmentation network based on multi-scale cross-attention and wavelet transform by Fan Qin, Yongjie Liang, Chaofeng Yang, Yulong Cao, Jiaying Fan, Peiyuan Wang, Bizhong Wei

“…The network introduces a Multi-Scale Cross-Attention Module (MSCAM) to enhance feature selection capability and long-distance dependency modeling, employs Wavelet Transform Convolution (WTConv) for effective multi-scale feature extraction, and implements a Dynamic Upsampling module (DySample) to improve global context integration and detail reconstruction. …”
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R3DG: Retrieve, Rank, and Reconstruction with Different Granularities for Multimodal Sentiment Analysis by Yan Zhuang, Yanru Zhang, Jiawen Deng, Fuji Ren

“…These approaches overlook the fact that emotional expression can vary across individuals and contexts, requiring multiple granularities to capture emotion effectively. To address these challenges, we propose a novel framework, Retrieve, Rank, and Reconstruction with Different Granularities (R3DG). …”
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ByteBait USB: a robust simulation toolkit for badUSB phishing campaign by Wenhao Li, Selvakumar Manickam, Yung-Wey Chong, Yongqing He, Ho Yean Li, Binyong Li

“…These attacks are particularly dangerous as their malicious code resides in firmware, evading traditional antivirus solutions. …”
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Physician-assisted suicide in Italy: where do we stand and where do we want to go? by Emanuela Turillazzi, Donato Morena, Naomi Iacoponi, Vittorio Fineschi

“…In Italy, there is currently no effective legislation regulating euthanasia or PAS, which remain practices punishable under Articles 579 (homicide of a consenting person) and 580 (instigation or assistance in suicide) of the Italian Criminal Code. …”
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A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone by Amine Lagzouli, Peter Pivonka, David M. L. Cooper, Vittorio Sansalone, Alice Othmani

“…The model’s robustness and generalization capabilities were rigorously tested under diverse and unseen conditions, confirming its effectiveness in the automated segmentation of high-resolution µCT mouse tibia scans. …”
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Preparation and Properties of Natural Leather-Tungsten Fast Neutron Moderating Materials by Jinchao ZENG, Jibo ZHOU, Hao LI, Xuepin LIAO, Bi SHI

“…The energy attenuation behavior of NL/Wn@AR for 4.4 MeV neutrons was simulated using the Monte Carlo N-Particle (MCNP) code. Simulation results indicated that the moderating ability of NL/Wn@AR was enhanced with the increase of thickness. …”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…The classification of White Blood Cells (WBCs) is crucial for diagnosing diseases, monitoring treatment effectiveness, and understanding how the immune system functions. …”
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Robust SAR-assisted cloud removal via supervised align-guided fusion and bidirectional hybrid reconstruction by Anling Wang, Kai Xu, Wenxin Wang, Taoyang Wang, Zhaohong Jia, Chengcheng Fan

“…Specifically, the proposed align-guided fusion module optimally leverages the effective features from SAR, thereby enhancing the robustness of fusion. …”
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Autologous Chin Augmentation with Cervico-mental Angle Correction in Burn Scar Contracture by Mohammadhossein Hesamirostami, Leila Sarparast, Sami Hesamirostami, Najibeh Mohseni MoalemKolae, Sanli Hesamirostami

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Implementation of a large-scale hypertension program in primary health centres in the Federal Capital Territory, Nigeria: an explanatory, sequential mixed-methods study by Lisa R Hirschhorn, Mark D Huffman, Chisom Obiezu-Umeh, Namratha R Kandula, Oluwabunmi Ogungbe, Dike B Ojji, Erica L Jamro, Ikechukwu A Orji, Abigail S Baldridge, Nanna R Ripiye, Gabriel L Shedul, Blessing Akor, Chika Onwundinjo, Godiya Bwala, Rosemary C B Okoli

“…Patients perceived the program to be effective, citing successful BP control, fewer medication side effects and support for improving health behaviours. …”
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