Influence of scanning patterns on residual stresses and mechanical properties in LPBF-manufactured cellular structures by Ahmed Abdelgawad, Imad Barsoum, Rashid K. Abu Al-Rub

“…The layer-by-layer approach reduces computational cost by 80% while maintaining accuracy, making it more efficient than the path-dependent method. …”
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Mitigating browning and improving texture issues in persimmons: the impact of freezing pretreatment on vacuum microwave drying by Xiaoxian Tang, Min Zhao, Aiqing Ren, Zhenhua Duan, Yan Liu, Zhaokun Xian, Zhaokun Xian

“…IntroductionVacuum-microwave drying (VMD) can lead to undesirable effects in persimmons, such as browning, charring, surface wrinkling, and structural collapse, all of which significantly reduce product quality.MethodsThis study proposed and evaluated a freezing pretreatment at an optimized temperature of −80°C prior to VMD. …”
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Minimal state-preparation times for silicon spin qubits by Christopher K. Long, Nicholas J. Mayhall, Sophia E. Economou, Edwin Barnes, Crispin H. W. Barnes, Frederico Martins, David R. M. Arvidsson-Shukur, Normann Mertig

“…Abstract Efficient preparation of quantum states on noisy intermediate-scale quantum processors remains a significant challenge to achieve quantum advantage. While gate-based methods have been the traditional approach, pulse-based algorithms offer promising alternatives with finer control and potentially reduced overheads. …”
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Recent insights on challenges encountered with phage therapy against gastrointestinal-associated infections by Reem A. Youssef, Masarra M. Sakr, Rania I. Shebl, Khaled M. Aboshanab

“…Accordingly, ongoing research is necessary to optimize phage delivery methods, develop effective phage combinations, and understand the interactions between phages and the gut microbiome to ensure safe and effective treatments.…”
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Research hotspots and frontiers of glymphatic system and Alzheimer’s disease: a bibliometrics analysis by Shichao Liu, Lvping Zhuang, Xiaochun Li

“…BackgroundAs a predominant neurodegenerative disorder, Alzheimer’s disease (AD) has garnered increasing attention regarding the association between its pathological mechanisms and glymphatic system (GS) dysfunction.ObjectiveThis study employs bibliometric methods to systematically analyze the evolutionary trajectory and emerging frontiers of GS-AD research from 2010 to 2025, aiming to provide insights for clinical applications and scientific research.MethodsA total of 595 articles were selected from the Web of Science Core Collection. …”
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CDFAN: Cross-Domain Fusion Attention Network for Pansharpening by Jinting Ding, Honghui Xu, Shengjun Zhou

“…From an information-theoretic perspective, the task involves maximizing the mutual information between PAN and LRMS inputs while minimizing spectral distortion and redundancy in the fused output. …”
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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

“…The proposed model achieved optimal accuracy (MSE =2.367-2.664, MAE =0.795-0.851, R<inline-formula> <tex-math notation="LaTeX">${}^{2} = 0.990$ </tex-math></inline-formula>-0.992), while maintaining consistent performance across all missing rates. …”
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Polymer-based nanoparticles for cancer theranostics: advances, challenges, and future perspectives by Kaylin Shanahan, Daniel Coen, Wanis Nafo

“…Advances in polymer chemistry and nanoparticle fabrication methods, including solvent evaporation, nanoprecipitation, emulsion-diffusion, and emulsion polymerization, have allowed precise control over particle size, surface charge, and drug-loading efficiency, optimizing biodistribution and imaging performance. …”
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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…The aim of the work is to develop a type of recursively separable digital filter with variable sizes of a scanning multielement aperture which allows the number of computational operations to be reduced while maintaining the efficiency of filtering input data (images).Methods. …”
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Transforming Chitosan into N-Doped Carbon for Efficient CO2 Capture: A comprehensive Review by Celca Rahmatunnisa, Raudhatul Islam Chaerun, Canggih Setya Budi, Noto Susanto Gultom

“…The nitrogen content increases the adsorption performance by creating active sites for chemisorption and physisorption, while hierarchical pore structures optimize CO₂ diffusion and retention. …”
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On the Accuracy and Uncertainty of Coronal Mass Ejection 3D Reconstructions Depending on the Number of Viewpoints in the Heliosphere by Eleni Nikou, Jie Zhang, Suman K. Dhakal, Matthew Dupertuis

“…An efficient nonmanual minimization-based fitting technique that is different from the manual methods widely used in the community is developed. …”
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Standardized freeze-dried FMT: is the ideal protectant out there? by Alix Pourrat, Vinciane Baillieu, Solene Ansel, Maxime Leonardi, Pierre Poiron, Samuel Bellais, Muriel Paul, Biba Nebbad

“…While HM showed highest results (91 ± 7% for anaerobes, 121 ± 33% for BIF), it did not significantly outperform T5. …”
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Early detection of positive urine culture in patients with urolithiasis: a machine learning model with dynamic online nomogram by Di Luo, Jingdong Zhang, Linguo Xie, Chunyu Liu, Rui Wang

“…Key variables were identified using Least Absolute Shrinkage and Selection Operator (LASSO) regression, while Random Forest and SHapley Additive exPlanations (SHAP) methods were applied to assess their importance. …”
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TopoRSNet: A Unique Approach to Maintaining Topological Features for Digital Rock Image Rescaling With Minimal Quality Degradation by Kunning Tang, Yufu Niu, Ying DaWang, Vanessa Robins, Peyman Mostaghimi, Mark Lindsay, Ryan T. Armstrong

“…Herein, we present TopoRSNet, an image rescaling network designed to adjust micro‐CT images to an optimal size and resolution while preserving global and local representative features. …”
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Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

“…The study evaluates the efficacy of filter-and wrapper-based FS methods across various ML classifiers. Additionally, we implemented a Binary Green Wolf Optimizer (BGWO) and compared its performance with that of traditional ML classifiers to assess the potential of this binary meta-heuristic algorithm. …”
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Monitoring multiyear cropping patterns in the arid regions of northwestern China from 2005 to 2022 using Landsat time-series data by Yongquan Lu, Guilin Liu, Xiuyuan Zhang, Jingwen Wang, Weijia Chen, Yuecheng Li, Desheng Jiang

“…Understanding cropping patterns can help optimize crop yield while preserving ecosystems and enhancing ecological benefits. …”
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A Hybrid Large Language Model for Context-Aware Document Ranking in Telecommunication Data by Abhay Bindle, Preeti Singla, Sachin Sharma, Abdukodir Khakimov, Reem Ibrahim Alkanhel, Ammar Muthanna

“…The future scope includes dynamic embedding techniques to handle domain adaptation and attention-based ranking optimizations for long-form information retrieval. This research enhances information retrieval by combining machine learning-based ranking with traditional methods, improving knowledge discovery and decision-making in telecommunications and technical document processing.…”
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Real-Time Lightweight Morphological Detection for Chinese Mitten Crab Origin Tracing by Xiaofei Ma, Nannan Shen, Yanhui He, Zhuo Fang, Hongyan Zhang, Yun Wang, Jinrong Duan

“…In conclusion, the proposed method achieves an optimal accuracy-speed-complexity trade-off, enabling robust real-time traceability for aquaculture systems.…”
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Enhanced magnetic properties and densification of SrFe12O19/Fe3O4 hard/soft composites via cold sintering process by Nuchjaree Salidkul, Prasit Thongbai, Supree Pinitsoontorn

“…X-ray diffraction confirmed the coexistence of SFO and FO phases, while magnetic measurements revealed hybrid behavior combining hard and soft magnetic characteristics. …”
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CFR-YOLO: A Novel Cow Face Detection Network Based on YOLOv7 Improvement by Guohong Gao, Yuxin Ma, Jianping Wang, Zhiyu Li, Yan Wang, Haofan Bai

“…In addition, comparative analyses with the other four methods show that CFR-YOLO exhibits faster convergence speed while ensuring the same detection accuracy; and its detection accuracy is higher under the condition of the same model convergence speed. …”
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