Hazelnut Yield Estimation: A Vision-Based Approach for Automated Counting of Hazelnut Female Flowers by Nicola Giulietti, Sergio Tombesi, Michele Bedodi, Carol Sergenti, Marco Carnevale, Hermes Giberti

“…The results indicate that the system can provide a scalable and efficient alternative to traditional female flower manual counting methods, offering an automated solution tailored to the unique challenges of hazelnut yield estimation.…”
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Dual-Drug Delivery Systems Using Hydrogel–Nanoparticle Composites: Recent Advances and Key Applications by Moon Sup Yoon, Jae Min Lee, Min Jeong Jo, Su Jeong Kang, Myeong Kyun Yoo, So Yeon Park, Sunghyun Bong, Chan-Su Park, Chun-Woong Park, Jin-Seok Kim, Sang-Bae Han, Hye Jin Lee, Dae Hwan Shin

“…Dual-drug delivery systems using hydrogel–nanoparticle composites have emerged as a versatile platform for achieving controlled, targeted, and efficient delivery of two distinct therapeutic agents. …”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…To address this, we propose an Improved Lightweight Network based on YOLOv8 (ILN-YOLOv8) to achieve high-precision and high-efficiency detection of crimped wire connectors. Taking the original YOLOv8 model as a baseline, the new model enhances the ability to extract shallow features from small targets by increasing the P2 detection layer and improving the Feature Pyramid Network(FPN) and Path Aggregation Network(PAN) structures. …”
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Silage Maize Identification Using a Temporal Difference-Based Model with Sentinel-2 Data: Insights from a Harvest-Based and Temporally Transferable Approach by Zhenyu Lin, Ran Huang, Sihan Tan, Lingbo Yang, Jingfeng Huang, Lijun Su, Zhichao Hu

“…Its ability to rapidly adapt to new regions or years underscores its significance in supporting precision agriculture and sustainable farming practices.…”
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Treatment Response to Oncolytic Virus in Patient-Derived Breast Cancer and Hypopharyngeal Cancer Organoids: Evaluation via a Microfluidics Organ-on-a-Chip System by Yu Sun, Jiaqi Liu, Li Zhu, Fang Huang, Yanbo Dong, Shuang Liu, Siyi Chen, Wei Ji, Jingjing Lu, Liangfa Liu, Shanhu Li

“…An OV offers advantages such as good targeting ability and minimal side effects, and it has achieved significant breakthroughs when combined with immunotherapy in recent clinical trials. …”
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Dual-Functional Fe₃O₄@SiO₂/Ag/AgCl Nanocomposites as Photocatalyst for Degrading Methylene Blue Dye Under Natural Light Irradiation by Kha Minh Nguyen, Nga Ngan Pham, Hien Thi-Thu Tran, Son Truong Nguyen

“…However, challenges remain, including the degradation efficiency and the recoverability of photocatalysts. …”
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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

“…This method offers a time-, cost-, and labour-efficient alternative to traditional experimental methods for predicting rock bolt performance. …”
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Ferritin and Encapsulin Nanoparticles as Effective Vaccine Delivery Systems: Boosting the Immunogenicity of the African Swine Fever Virus C129R Protein by Yue Zhang, Yi Ru, Longhe Zhao, Rongzeng Hao, Yang Yang, Yajun Li, Rong Zhang, Chenghui Jiang, Haixue Zheng

“…This study evaluated the stability of ferritin (F-nps) and encapsulin (E-nps) nanoparticles and their efficient uptake by bone-marrow-derived dendritic cells (BMDCs) in vitro. …”
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Transformer-based tokenization for IoT traffic classification across diverse network environments by Firdaus Afifi, Faiz Zaki, Hazim Hanif, Nik Aqil, Nor Badrul Anuar

“…The model achieves an accuracy of up to 98.14% and a 97.85% F1-score, demonstrating its ability to classify new datasets and adapt to emerging tasks with minimal fine-tuning and remarkable efficiency. …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…Objective Medication adherence (MA) is crucial to patient treatment and vital for therapeutic outcomes. Due to its ability to continuously monitor a patient's MA behavior, the recent focus on sensor technology for MA monitoring is a promising development. …”
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A catalase-powered self-oxygen-generating soft nanomotor for photodynamic therapy of osteosarcoma by Xinyi Tan, Yu Wang, Ying Yuan, Yuchen Song, Jianghan Xia, Xinzeyu Yi, Zheng Wang, Huiyun Gu, Pengcheng Li, Zhaogang Teng, Aixi Yu

“…The active propulsion advantage of micro/nano-motors (MNMs) has been harnessed to enhance the delivery efficiency of photosensitizers and improve tumor penetration. …”
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Genetic diversity insights from population genomics and machine learning tools for Nordic Arctic charr (Salvelinus alpinus) populations by Christos Palaiokostas, Khrystyna Kurta, Fotis Pappas, Henrik Jeuthe, Ørjan Hagen, José Beirão, Matti Janhunen, Antti Kause

“…Overall, our study affirmed the utility of the developed ddRAD-seq genotyping method and unveiled the genetic structure of the studied populations, both of which could contribute to their more efficient management by captive breeding.…”
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Study protocol for a randomised-controlled study on emotion regulation training for adolescents with major depression: the KONNI study by Ellen Greimel, Lisa Feldmann, Charlotte Piechaczek, Frans Oort, Jürgen Bartling, Martin Schulte-Rüther, Gerd Schulte-Körne

“…Previously, it has been shown in healthy adults that a task-based training in CR is efficient to reduce negative affect, and that these effects translate into everyday life.This randomised controlled trial examines for the first time whether a task-based training in CR proves effective in MD adolescents. …”
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The race to disasters - is the international relief community ready for future disasters? by Kobi Peleg, Moran Bodas

“…Conclusion The future of international disaster aid depends on our ability to foster greater cooperation between the various organizations and donor countries and more seamless cooperation between both groups and the affected countries or regions. …”
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Robust and Adaptive Tuning of PI Current Controllers for Grid-Forming Inverters by Florian Reisner, George Weiss

“…In recent years, grid forming (GFM) inverters have become an increasingly active research interest, due to their ability to form autonomous grids and to maintain synchronism also in purely power electronics-based environments. …”
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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

“…This study focuses on the therapeutic potential of microRNA-124 (miR-124), known for its tumor-suppressing properties, by investigating its ability to target key oncogenic pathways in GBM. The results reveal that CDK4 and CDK6—cyclin-dependent kinases that promote cell cycle progression—are significantly overexpressed in GBM brain samples, underscoring their role in tumor proliferation and identifying them as critical targets for miR-124 intervention. …”
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Development and validation of mPCR-CEFA for detecting multiple deletion and non-deletion thalassemia genotypes by Jingping Xu, Jingping Xu, Baoyan Ren, Qixun Fang, Kangfeng Lin, Kangfeng Lin, Xingan Xing, Xingan Xing, Jingting Lin

“…Its ability to detect multiple genotypes simultaneously and resolve complex cases makes it particularly valuable for large-scale screening and clinical applications. …”
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Homogeneous catalyst graph neural network: A human-interpretable graph neural network tool for ligand optimization in asymmetric catalysis by Eduardo Aguilar-Bejarano, Ender Özcan, Raja K. Rit, Hongyi Li, Hon Wai Lam, Jonathan C. Moore, Simon Woodward, Grazziela Figueredo

“…This procedure is not efficient and alternative strategies are highly desirable. …”
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Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions by Binrui Liu, Xinguang He, Wenkai Lyu, Lizhi Tao

“…These results confirm the potential of data-physics hybrid modeling in ET estimation, which is conducive to supporting efficient irrigation water management.…”
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Evaluating the Potential Use of Wearable Fitness Devices as a Measure of Outcomes in Orthopaedics by Jordan Henderson BS, Santiago Logan-Baca BS, Sara Kisiel BS, Fadi Muheidat PhD, David Jaffe MD

“…Surveys utilized were the Foot and Ankle Ability Measure Computerized Adaptive Testing (FAAM CAT), PROMIS physical function, mobility and pain interference scores, and Visual Analog Scale (VAS). …”
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