Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks by Aya M. A. Heikal, Shady H. E. Abdel Aleem, Ragab A. El-Sehiemy, Almoataz Y. Abdelaziz

“…The optimization approach under uncertainty provides robust predictive abilities across various scenarios, allowing the system to optimize energy management effectively, enhancing operational efficiency while minimizing overall energy losses, costs, and emissions. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

“…The study examined the corrective ability of codes in the case of a supplementary Gaussian channel with binary phase modulation (OFDM-modulation, 2PSK and 4PSK absolute phase manipulation) in the selection of an energy-efficient approach to the design of ionospheric radio communication system. …”
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Novel thiazole-nitrone hybrids as innovative neuroprotective agents with antioxidant and antiapoptotic properties by Saira Cancela, Lucía Minini, Gustavo Mourglia-Ettlin, Alicia Merlino, María Laura Lavaggi, Paola Hernández

“…The nitrone moiety is known for its spin-trapping ability, which confers antioxidant and neuroprotective properties, while thiazole-containing compounds have been described as antioxidants and potent caspase-3 inhibitors. …”
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DEDANet: Mountainous Cropland Extraction From Remote Sensing Imagery With Detail Enhancement and Distance Attenuation by Liang Huang, Zixuan Zhang, You Yu, Bo-Hui Tang

“…Furthermore, ablation studies and cross-regional validations on the high-resolution cropland non-agriculturalization and iFLYTEK datasets verify the model’s robust generalization ability, thereby offering an efficient and scalable technical solution for refined cropland management in mountainous regions.…”
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DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

“…Notably, a multi-layer one-dimensional convolutional structure is introduced within the Efficient Channel Attention (ECA) module. The original dataset contained 287 carotid ultrasound images from patients at Zhengzhou First People’s Hospital, which were divided into training, validation, and test sets. …”
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Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…The outcome of the study enhances WTE systems, facilitating more efficient and sustainable energy recovery from MSW.…”
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Artificial Neural Networks for Residual Capacity Estimation of Cycle-Aged Cylindric LFP Batteries by Pasquale Franzese, Diego Iannuzzi, Roberta Merolla, Mattia Ribera, Ivan Spina

“…These results advance battery management systems by offering a robust, efficient modeling framework that optimizes battery utilization across diverse applications, even under data-constrained conditions.…”
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Capturing microalgae within aerosols provides carbon capture bio-functionality by Elbaraa Elghazy, Matt M.J Davies, Nicholas T.H Farr, Cornelia Rodenburg, Jon R. Willmott, Jagroop Pandhal

“…Using cell densities of 1.2 × 108 cell/mL was the most efficient in terms of the number of cells aerosolized when compared to the input cell density. …”
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Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…As a key indicator for reservoir characterization and evaluation, accurate and efficient porosity prediction is crucial for the exploration and development of oil and gas in carbonate reservoirs. …”
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Unsupervised evaluation of pre-trained DNA language model embeddings by Raghav Awasthi, Gayan Samuditha Mend Mend Arachchige, Xiaofeng Zhu

“…Conclusion This study introduces a computationally efficient framework for evaluating DLMs. Our results show that GENA-LM, DNA-BERT2, and Nucleotide Transformer frequently outperform HyenaDNA and Mistral across both unsupervised and supervised evaluations. …”
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Modifying M‐44s to reduce risk of activation by swift fox by Julie K. Young

“…Thus, height modifications to M‐44s may not be practical or efficient in areas with little or no risk to nontarget canids because of compromised coyote activation rates, but should be considered as an option to enable use of M‐44s for coyote management in areas where M‐44s are not currently used because nontarget, small canids may co‐occur. …”
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Comprehensive evaluation of 5-imino-1,2,4-dithiazolidine-3-thione as a corrosion inhibitor for mild steel in hydrochloric acid solution by Ahmed A. Alamiery

“…Mulliken charge analysis identified sulfur and nitrogen atoms as active adsorption sites, reinforcing IDTT’s ability to form a stable protective layer on mild steel. …”
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Deep-Learning-Based Semantic Change Detection for Urban Greenery and Comprehensive Urban Areas by Aisha Javed, Taeheon Kim, Changhui Lee, Youkyung Han

“…Key innovations include the integration of atrous spatial pyramid pooling and an updated spatial attention module, enhancing the network's ability to capture objects of varying shapes and sizes within urban settings. …”
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Modified polyvinylidene fluoride membranes for effective removal of iron ions (Fe2+) from water by Halyna Bubela, Viktoriia Konovalova, Joanna Kujawa, Wojciech Kujawski

“…Paper introduces an efficient technique for removing excess Fe(II) ions from water using modified polyvinylidene fluoride membranes. …”
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Impacts from cascading multi-hazards using hypergraphs: a case study from the 2015 Gorkha earthquake in Nepal by A. Dunant, T. R. Robinson, A. L. Densmore, N. J. Rosser, R. M. Rajbhandari, M. Kincey, S. Li, P. R. Awasthi, M. Van Wyk de Vries, M. Van Wyk de Vries, R. Guragain, E. Harvey, S. Dadson

“…By conceptualising risks within a hypergraph framework, our model overcomes these limitations, enabling efficient simulation of multi-hazard interactions and their impacts on infrastructure. …”
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Influence of plasma-enhanced combustion on RBCC engine using URANS by Wei-Rui Zhang, Yuan-Shu Liu, Xiang-Rui Zou, Chaoqi Xu, Rui Xue

“…Because of the relatively low total temperature of the incoming flow, it is difficult to maintain sustained and efficient subsonic combustion when the rocket engine is turned off. …”
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Application of leaf multispectral analyzer in comparison to hyperspectral device to assess the diversity of spectral reflectance indices in wheat genotypes by Filacek Andrej, Zivcak Marek, Barboricova Maria, Kovar Marek, Halabuk Andrej, Gerhatova Katarina, Yang Xinghong, Hauptvogel Pavol, Brestic Marian

“…As expected, the sensitive analytical device showed a higher capacity to capture genotypic variability and the ability to distinguish seasonal changes compared to a low-cost multispectral device. …”
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A Spiking Neural Network With Adaptive Graph Convolution and LSTM for EEG-Based Brain-Computer Interfaces by Peiliang Gong, Pengpai Wang, Yueying Zhou, Daoqiang Zhang

“…Electroencephalography (EEG) signals classification is essential for the brain-computer interface (BCI). Recently, energy-efficient spiking neural networks (SNNs) have shown great potential in EEG analysis due to their ability to capture the complex dynamic properties of biological neurons while also processing stimulus information through precisely timed spike trains. …”
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Advances in Oral Solid Drug Delivery Systems: Quality by Design Approach in Development of Controlled Release Tablets by Prachi Atre, Syed A. A. Rizvi

“…In terms of manufacturing, direct compression has emerged as the most efficient method for producing CR tablets, streamlining production while ensuring consistent drug release. …”
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SODS: Soil Health On-Demand Sensors—A Multi Parameter Field Study with Temporal Monitoring by Vikram Narayanan Dhamu, Mohammed A. Eldeeb, Anil C. Somenahally, Sriram Muthukumar, Shalini Prasad

“…Real-time monitoring of soil health parameters is crucial for efficient use of resources, improving agricultural productivity, and sustainability. …”
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