YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

“…However, achieving high precision in recognition under complex and dynamic conditions remains a significant hurdle. …”
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Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation by Jian Li, Jian Li, Junrui Kang, Junrui Kang, Jian Lu, Jian Lu, Hongkun Fu, Hongkun Fu, Zheng Li, Zheng Li, Baoqi Liu, Xinglei Lin, Xinglei Lin, Jiawei Zhao, Hengxu Guan, He Liu, Zhihan Liu

“…Future work will optimize computational efficiency and integrate higher-resolution data.…”
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Transdisciplinary Approach in Palliative Care MDT Meetings – A Way Forward by Annum Ishtiaq

“…These meetings yield evidence-based care plans developed by a diverse group of specialists, minimizing variations in practice patterns, and efficiently utilizing healthcare resources. The outcome of MDT meetings is time-efficient, cost-effective, and quality care that enhances patient satisfaction [4]. …”
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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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Treatment Trade‐Offs and Choices for Femoral Fractures: A Systematic Review and Meta‐Analysis by Jiarui Li, Zhu Guo, Tianrui Wang, Kunyue Xing, Wenzhuo Wang, Yaowei Liu, Jiyao Xing, Hongfei Xiang, Jingdong Wang, Bohua Chen, Dongming Xing, Xiaolin Wu

“…ABSTRACT In resource‐limited settings, selecting the appropriate treatment for femoral fractures is crucial as it affects both patient recovery and the efficient use of medical resources. …”
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Smart Fault Detection, Classification, and Localization in Distribution Networks: AI-Driven Approaches and Emerging Technologies by Jianxian Wang, Hazlie Mokhlis, Nurulafiqah Nadzirah Mansor, Hazlee Azil Illias, Agileswari K. Ramasamy, Xingyu Wu, Siqi Wang

“…The insights offered herein are expected to provide practical guidance for engineers and researchers for selecting and deploying intelligent fault diagnosis strategies in future distribution networks with high distributed generation penetration.…”
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Developing an effective teaching model in order to improve the educational level of schools by Mehdi Mohammadi, fardin Abdollahy, Rafigh Hasani

“…Teaching is a comprehensive, multiple, complex phenomenon in which the role of the teacher and learners has changed (Mahdian & Amini, 2018). …”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…Examples of possible developments and of the work already underway can be found both in the stimulated contributions and in the articles selected as a result of the review process. The paper “Grand Challenges in AI and Education Beyond 2030” [8] by Beverly Woolf, Danielle Allessio, Sai Gattupalli, Injila Rasul, William Lee, Ivon Arroyo, points out how the usage of AI requires new skills to be developed by learners, so to be able to augment their capabilities and perform jobs with more efficiency and effectiveness. …”
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Flunarizine as a potential repurposed drug for the serotonin transporter inhibition: an integrated approach for therapeutic development against major depressive disorder by Abdelbaset Mohamed Elasbali, Abdelbaset Mohamed Elasbali, Ahmed S. Ali, Ahmed S. Ali, Taj Mohammad, Mohd Adnan, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Drug repurposing provides an efficient solution to speed up antidepressant research because it identifies existing FDA-approved medications that might inhibit the serotonin transporter. …”
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Designing a Digital Branding Pattern in Healthy Agricultural Products by Abolghasem Mohammadnezhad Ali Zamini, Arezo Ahmadi danyali, Mahmoud Ahmadi Sharif

“…Also, with 82 open coding, 22 central and selective categories, the model of digital branding of healthy agricultural products in Iran was designed. …”
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Accelerated design of eutectic high-entropy alloys using high-throughput phase diagram calculations and machine learning by Mingxu Wu, Bang Guan, Junfeng Wang, Shubin Wang, Chao Yang, Chuan Zhang, Da Shu, Chengbo Xiao, Baode Sun

“…Designing eutectic high-entropy alloys (HEAs) with a stable dual-phase structure is prospective for high-temperature structural materials, but remains a challenge due to the complexity of multicomponent compositional space. This study introduces a machine learning (ML) based classification model to assist the high-throughput thermodynamic calculations (HTCs), improving the efficiency by identifying eutectic, near-eutectic and non-eutectic compositions in the VNbTiTaSi system using the parameters that determine the eutectic forming ability. …”
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Innovative dual-gene delivery platform using miR-124 and PD-1 via umbilical cord mesenchymal stem cells and exosome for glioblastoma therapy by Po-Fu Yueh, I-Tsang Chiang, Yueh-Shan Weng, Yu-Chang Liu, Raymond C. B. Wong, Cheng-Yu Chen, Justin Bo-Kai Hsu, Long-Bin Jeng, Woei-Cherng Shyu, Fei-Ting Hsu

“…Experimental results demonstrate that the UMSC/miR-124-PD-1 complex and its exosomes successfully induce apoptosis in GBM cells, significantly inhibiting tumor growth. …”
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SMART accelerates rate of cognitive gains in service members with mTBI and PTSD by Erin Venza, Jeffrey S. Spence, Jennifer Zientz, Cole Devlin, Jason Bailie, Jason Bailie, Jason Bailie, Andrew Darr, Andrew Darr, Andrew Darr, Ida Babakhanyan, Ida Babakhanyan, Ida Babakhanyan, Sandra Bond Chapman

“…SMART also demonstrated greater immediate gains in fluency of high-level interpretations compared to SCORE (p = 0.04), reflecting enhanced possibility thinking. PTSD symptom severity was negatively correlated with performance on cognitive measures; however, the cognitive gains were comparable regardless of baseline PTSD symptoms.DiscussionSMART is an efficient and effective CR protocol for improving higher-order cognitive abilities in ADSMs with mTBI, achieving comparable outcomes to SCORE in 60% fewer treatment hours. …”
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Rhizobacteria from vineyard and commercial arbuscular mycorrhizal fungi induce synergistic microbiome shifts within grapevine root systems by Romain Darriaut, Vincent Lailheugue, Jules Wastin, Joseph Tran, Guilherme Martins, Patricia Ballestra, Isabelle Masneuf-Pomarède, Nathalie Ollat, Virginie Lauvergeat

“…The combined inoculation of bacteria and AMF resulted in a more complex bacterial network with higher metabolic functionality than single inoculation treatments. …”
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Robust and Adaptive Tuning of PI Current Controllers for Grid-Forming Inverters by Florian Reisner, George Weiss

“…While very efficient in strong grids, such control architectures face stability problems if the grid short-circuit ratio becomes low. …”
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THE PLACE OF PROFESSIONAL EDUCATION SYSTEM IN FORMATION OF GRADUATES’ COMPETITIVENESS by G. F. Shafranov-Kutsev, G. Z. Efimova

“…Therefore, the education system is forced to be reconstructed for preparation of holders of complex knowledge and competencies, generators of newideas and projects. …”
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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

“…Since the traffic patterns experienced in MBB networks are largely complex, highly dynamic and heterogenous in nature; hence, statistical methods may not adjust adequately to the changing network conditions. …”
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The dynamics of chemoattractant receptors redistribution in the electrotaxis of 3T3 fibroblasts by Jagoda Gorzkowska, Wiktoria Kozak, Sylwia Bobis-Wozowicz, Ivan Cherepashuk, Zbigniew Madeja, Sławomir Lasota

“…However, this mechanism alone does not fully explain rapid responses to dcEF orientation changes indicating a more complex, multimodal mechanism of electrotaxis in these cells.…”
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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…Inference throughput averaged 3.9 ms per image for YOLOv11x and 6.7 ms for YOLOv12x, highlighting a trade-off between speed and architectural complexity. Fused model representations revealed optimized layer fusion and reduced computational overhead (GFLOPs), facilitating efficient deployment. …”
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A Single Electrode Organic Neuromorphic Device for Dopamine Sensing in Vivo by Federico Rondelli, Michele Di Lauro, Gioacchino Calandra Sebastianella, Anna De Salvo, Matteo Genitoni, Mauro Murgia, Pierpaolo Greco, Carolina Giulia Ferroni, Riccardo Viaro, Luciano Fadiga, Fabio Biscarini

“…It exhibits stable multi‐parametric response in complex fluids, in brain's mechanical models and in vivo, enabling monitoring of local variations of dopamine concentration in the rat brain.…”
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