A New Multi-granular 2-Tuple WASPAS-H Approach for Evaluating Water Resources for Olive Tree Irrigation under Group Decision-Making by Wiem Daoud-BenAmor, Hela Moalla Frikha

“…Abstract In multiple criteria decision aid (MCDA) problems, evaluating and selecting alternatives across numerous criteria often presents a significant challenge. …”
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Characterization and Modelling of Potential Seaborne Disasters, in the ANA Region by Ashraf Labib, Dylan Jones, Natalia Andreassen, Rune Elvegård, Mikel Dominguez Cainzos

“…We demonstrate how such tools can be used by applying some of them to a selective case study and drawing lessons learned from the application of root cause analysis, which can help emergency response organisations with preparedness work and hence more efficient response. …”
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Predicting Wheat Potential Yield in China Based on Eco-Evolutionary Optimality Principles by Shen Tan, Shengchao Qiao, Han Wang, Sheng Chang

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FPG-AI RNN: A Technology-Agnostic Framework for the Automatic Acceleration of LSTM/GRU-Based Models on FPGAs by Tommaso Pacini, Pietro Nannipieri, Silvia Moranti, Luca Fanucci

“…FPGAs have emerged as an efficient technology for accelerating these algorithms, especially in resource- and power-constrained platforms such as edge devices. …”
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Three-Dimensional Plant Model Development Through Image Recognition by Yuya Hosoda, Ganzurkh Bilguun, Jin Oboshi, Hitoshi Goto

“…Finally, we construct a vector-search system incorporating k-means clustering and dimensionality reduction to limit the search scope and minimize computational complexity. Experimental results show that the proposed method efficiently obtains the most similar 3D model in the database, achieving a mean reciprocal rank of 0.90 and a search time of 0.003 s per query.…”
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Sortilin‐Mediated Rapid, Precise and Sustained Degradation of Membrane Proteins via mRNA‐Encoded Lysosome‐Targeting Chimera by Xin Chang, Xinyu Qiu, Xiaoning Tong, Shaoju Gan, Weicheng Yi, Sitao Xie, Xiangsheng Liu, Chao Zuo, Weihong Tan

“…This MedTAC strategy establishes sortilin as a selective and efficient shuttle for targeted protein degradation, offering a scalable, rapidly producible platform for biochemical research and precise therapeutic applications.…”
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Enhanced Mainlobe Jamming Suppression in Distributed Array Radar via Joint Optimization of Radar Positions and Subpulse Frequencies by Weiming Pu, Kewei Feng, Xiaoping Wang, Zhennan Liang, Xinliang Chen, Quanhua Liu

“…Subsequently, a sequential scheme selects specific carrier frequencies for the subpulses. …”
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A Methodology for the Feasibility Assessment of Using Crop Residues for Electricity Production Through GIS-MCD and Its Application in a Case Study by Fernando Bruno Dovichi Filho, Laura Vieira Maia de Sousa, Electo Eduardo Silva Lora, José Carlos Escobar Palacio, Pedro Tavares Borges, Regina Mambeli Barros, René Lesme Jaen, Marcelo Risso Errera, Quelbis Roman Quintero

“…The last Intergovernmental Panel on Climate Change reports recommend a shift to renewables and a more energy-efficient economy. To fulfill the potential of bioenergy, tools are required to overcome the complexities of the decision-making processes for viable projects. …”
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Screening of novel therapeutic targets and chimeric vaccine construction against antibiotic-resistant Yersinia Enterocolitica by Mohibullah Shah, Mohibullah Shah, Rouman Fatima, Asifa Sarfraz, Muhammad Umer Khan, Hasan Ejaz, Maqsood Alam, Shahid Aziz, Umar Nishan, Abid Ali, Ahmed Bari, Suvash Chandra Ojha

“…Four vaccine constructs were designed using the selected epitopes by adding the appropriate adjuvants and linkers. …”
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EML-SlowFast: A behavior recognition model for lion-head goose by Jinwei Wang, Zhiguo Du, Bin Wen, Zhihui Wu, Xudong Lin

“…Compared to commonly used behavior recognition models, the EML-SlowFast model has effective recognition of lion-head goose behaviors while maintaining low computational complexity, which is beneficial for deployment and use in scenarios with low computational resources. …”
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Fast real-time detection and counting of thrips in greenhouses with multi-level feature attention and fusion by Zhangzhang He, Xinyue Chen, Ying Gao, Yu Zhang, Yuheng Guo, Tong Zhai, Xiaochen Wei, Huan Li, Haipeng Zhu, Yongkun Fu, Zhiliang Zhang, Zhiliang Zhang

“…Compared to existing methods, TCD-Net achieves higher thrips counting and detection accuracy with lower computational complexity. The dataset is publicly available at github.com/ZZL0897/thrip_leaf_dataset.…”
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Biochar-based organic fertilizer application promotes the alleviation of tobacco (Nicotiana tabacum L.) continuous cropping obstacles by improving soil chemical properties and micr... by Dan Chen, Yujie Zhou, Gang Wang, Kuai Dai, Jiangzhou Li, Xueru Song, Yongxian Xu, Yonghe Cui, Xiaoe Yang

“…Although organic amendment has been considered an efficient and environmentally friendly solution to mitigate this tough issue, the associated mechanisms remain poorly understood. …”
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Invasive Aquatic Weeds Suppress Predator–Prey Cascades: Evidence from a Mesocosm Study by Pierre William Froneman

“…The increased habitat complexity conferred by the water hyacinth root system provided refugia for zooplankton. …”
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Targeted delivery of peptide functionalized nanoparticles for ameliorating myocardial infarction by N Abhirami, S Sudhina, Akash Chandran, Mahesh Chandran, Janeesh Plakkal Ayyappan

“…Traditional invasive surgical methods, aimed at recanalizing blood flow to the coronary arteries, have proven insufficient in fully addressing the complexities of MI. This ongoing challenge necessitates the exploration of novel approaches to enhance treatment efficacy and outcomes for MI patients. …”
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Well control diagnosis model of underground gas storage in multi-cycle operation by ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi

“…Predicting multi-cycle well control parameters is key to the efficient operation of UGS facilities. Due to the complexities involved in understanding the operation patterns of W23 UGS and the challenges in developing effective schemes, a prediction model for well control parameters in multi-cycle operations has been developed using the rate-transient analysis method, and the change pattern of well control parameters with the development of UGS is analyzed. …”
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Design of optimized single-switch capacitor cell balancing for EV battery management by Anjan N. Padmasali, Savitha G. Kini, Arun P. Parameswaran

“…The novelty of this study is the development of a selective combinational control algorithm based on the shuttling switched capacitor method, which dynamically switches between two balancing strategies depending on the number of high-SoC cells relative to the average, enabling efficient any-cell-to-any-cell active balancing across more than two series-connected cells. …”
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Spin-Wheel: A Fast and Secure Chaotic Encryption System with Data Integrity Detection by Luis D. Espino-Mandujano, Rogelio Hasimoto-Beltran

“…This approach exacerbates the complexity in the event of an attack, since the trajectories may come from the same or totally different maps in a non-sequential time order. …”
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Phytogenic synthesis and antimicrobial activity of ZnO nano bow ties (ZnO NBTs): An experimental and computational study by Manju Manuel, M. Gomathy, Manikantan Pappuswamy, Krishna Bisetty, Suvardhan Kanchi

“…In this study, Allium sativum extract was selected as a capping and reducing agent due to the presence of phytochemicals such as allicin, diallyl disulfide (DADS), vinyl dithiins, ajoene (E- and Z-ajoene), diallyl trisulfide (DATS), and thiol (sulfhydryl) groups. …”
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Design of a tunable microlens based on hybrid single-wall carbon nanotube and liquid crystal by Seyedeh Nastaran Hosseini, Mohammad Mohammadimasoudi, Farid Khoshkhati, Javad Koohsorkhi

“…Additionally, for a microlens with an efficient Fresnel number in the range of 1–10, the microlens should have CNT with widths from 100 to 200 nm. …”
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A robust deep learning framework for multiclass skin cancer classification by Burhanettin Ozdemir, Ishak Pacal

“…Meanwhile, the adoption of separable self-attention in the later stages allows the model to selectively prioritize diagnostically relevant regions while minimizing computational complexity, addressing the inefficiencies often associated with traditional self-attention mechanisms. …”
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