Investigating adhesion mechanisms in warm-mix recycled asphalt: a multiscale atomic force microscopy and molecular dynamics approach by Xiaolin Wang, Shenyang Cao, Shenyang Cao, Xu Wu, Qianqian Mu

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Status and Development Prospects of Solar-Powered Unmanned Aerial Vehicles—A Literature Review by Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, Róża Łopusiewicz, Marta Łopusiewicz

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Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data by Wisal Muhammad, Haseeb Khan, Tariq Kamal, Dahoon Ahn, Ki-Yong Oh

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Optimizing Multiparametric MRI Protocols for Prostate Cancer Detection: A Comprehensive Assessment Aligned with PI‐RADS Guidelines by Mohammad Hossein Jamshidi, Ali Fatemi, Aida Karami, Sepehr Ghanavati, Durjoy D. Dhruba, Mohammad H. Negarestanian

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Physical activity, exercise, and mental health of healthy adolescents: A review of the last 5 ​years by Eva Ruiz-Ranz, Iván Asín-Izquierdo

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An Architecture-Tracking Approach to Evaluate a Modular and Extensible Flight Software for CubeSat Nanosatellites by Carlos E. Gonzalez, Camilo J. Rojas, Alexandre Bergel, Marcos A. Diaz

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A Pneumatic Flexible Linear Actuator Inspired by Snake Swallowing by Yuyan Qi, Jiaqi Shao, Yongjian Zhao, Tong Niu, Yi Yang, Songyi Zhong, Shaorong Xie, Yangqiao Lin, Yang Yang

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EEG-Based Seizure Detection Using Dual-Branch CNN-ViT Network Integrating Phase and Power Spectrograms by Zhuohan Wang, Yaoqi Hu, Qingyue Xin, Guanghao Jin, Yazhou Zhao, Weidong Zhou, Guoyang Liu

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Comparison of noise estimation methods used in denoising 99mTc-sestamibi parathyroid images using wavelet transform by Anil Pandey, Param Sharma, Akshima Sharma, Chandra Bal, Rakesh Kumar

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Improving subpixel impervious surface estimation based on point of interest (POI) data by Junzhe Wang, Wang Jin, Zheng Cao, Zhiyi Pan, Guang Yang, Yaolong Zhao

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Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes by Karolina Buka, Zofia Parteka-Tojek, Abhishek Agarwal, Michał Denkiewicz, Sevastianos Korsak, Mateusz Chiliński, Krzysztof H. Banecki, Dariusz Plewczynski

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A CRISPR/Cas9 screen reveals proteins at the endosome-Golgi interface that modulate cellular anti-sense oligonucleotide activity by Liza Malong, Jessica Roskosch, Carolina Hager, Jean-Philippe Fortin, Roland Schmucki, Marinella G. Callow, Christian Weile, Valentina Romeo, Christoph Patsch, Scott Martin, Mike Costa, Zora Modrusan, Roberto Villaseñor, Erich Koller, Benjamin Haley, Anne Spang, Filip Roudnicky

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Trehalose catalytic shift inherently enhances phenotypic heterogeneity and multidrug resistance in Mycobacterium tuberculosis by Jae Jin Lee, Daniel H. Swanson, Sun-Kyung Lee, Stephanie Dihardjo, Gi Yong Lee, Sree Gelle, Hoon Je Seong, Emily R. M. Bravo, Zachary E. Taylor, Michael S. Van Nieuwenhze, Abhyudai Singh, Jong-Seok Lee, Seokyong Eum, SangNae Cho, Benjamin M. Swarts, Hyungjin Eoh

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Knowledge-guided diffusion model for 3D ligand-pharmacophore mapping by Jun-Lin Yu, Cong Zhou, Xiang-Li Ning, Jun Mou, Fan-Bo Meng, Jing-Wei Wu, Yi-Ting Chen, Biao-Dan Tang, Xiang-Gen Liu, Guo-Bo Li

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AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…DNN-IGWO demonstrated enhanced predictive performance, significantly exceeding that of traditional machine learning models. The optimization process directed by the metaheuristic approach utilizing SMA demonstrated swift convergence in 216 iterations, identifying the optimal mix proportions of cement, water-to-cement ratio, sand, and sisal fiber content. …”
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Sustained release of ubiquitin-like protein ISG-15 enhances tendon-to-bone healing following anterior cruciate ligament reconstruction in a mouse model by Jun-Cheng Yao, Jun-Cheng Yao, Jun-Cheng Yao, Jun-Cheng Yao, Jie-Xin Zhang, Jie-Xin Zhang, Jie-Xin Zhang, Jie-Xin Zhang, Xuan Wang, Xuan Wang, Xuan Wang, Xuan Wang, Yu-Hao Wu, Yu-Hao Wu, Hao-Lin Ke, Hao-Lin Ke, Hao-Lin Ke, Jia-Rong Liang, Yan Shao, Yan Shao, Jin-Tao Li, Jin-Tao Li, Jin-Tao Li, Yuan Liu, Dao-Zhang Cai, Dao-Zhang Cai, Jian-Ying Pan, Jian-Ying Pan

“…The process of tendon-to-bone healing is regulated by several proteins and cytokines that play critical roles in shaping biomechanical properties and functional recovery. …”
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Motor learning leverages coordinated low-frequency cortico-basal ganglia activity to optimize motor preparation in humans with Parkinson’s disease by Kara N. Presbrey, Kara N. Presbrey, Kara N. Presbrey, Thomas A. Wozny, Thomas A. Wozny, Kenneth H. Louie, Kenneth H. Louie, Simon Little, Simon Little, Philip A. Starr, Philip A. Starr, Reza Abbasi-Asl, Reza Abbasi-Asl, Doris D. Wang, Doris D. Wang

“…Learning involves optimizing pre-movement planning (preplanning) of multiple sequence elements to reduce computational overhead during active movement. However, it is unclear which brain regions mediate preplanning or how this process evolves with learning. …”
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Fe foam supported FeVO4 nanoparticles for electrochemical nitrogen fixation at ambient conditions by Abdulmalik Aminu, Bilal Masood Pirzada, Shamraiz Hussain Talib, Janah Shaya, Ibrahim Yildiz, Sharmarke Mohamed, Ahsanulhaq Qurashi

“…Density functional theory (DFT) computations disclosed that surface Fe atoms are the main active centers for e-NRR which proceed via the alternating pathway.…”
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Enhancing head and neck cancer detection accuracy in digitized whole-slide histology with the HNSC-classifier: a deep learning approach by Haiyang Yu, Haiyang Yu, Wang Yu, Wang Yu, Yuan Enwu, Yuan Enwu, Yuan Enwu, Jun Ma, Jun Ma, Xin Zhao, Xin Zhao, Linlin Zhang, Linlin Zhang, Linlin Zhang, Fang Yang, Fang Yang, Fang Yang

“…Head and neck squamous cell carcinoma (HNSCC) represents the sixth most common cancer worldwide, with pathologists routinely analyzing histological slides to diagnose cancer by evaluating cellular heterogeneity, a process that remains time-consuming and labor-intensive. …”
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A modified METRIC model for high resolution partitioning and mapping of evapotranspiration over irrigated agricultural landscapes in Morocco by Jamal Elfarkh, Bouchra Ait Hssaine, Salah Er-Raki, Jamal Ezzahar, Matthew F. McCabe, Abdelghani Chehbouni

“…Referred to herein as METRIC-2S, the approach introduces a two-source scheme into the original one source model, using soil and vegetation temperatures to drive the partitioning process. These temperatures are used by METRIC to calculate two ET components, one for the soil and another for the vegetation, which are subsequently weighted by the fractional vegetation cover (fc) to compute E and T. …”
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