Selection of Trajectories to Improve Thermal Fields During the Electric Arc Welding Process Using Hybrid Model CFD-FNN by Sixtos A. Arreola-Villa, Alma Rosa Méndez-Gordillo, Alejandro Pérez-Alvarado, Rumualdo Servín-Castañeda, Ismael Calderón-Ramos, Héctor Javier Vergara-Hernández

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EphA2 and phosphoantigen-mediated selective killing of medulloblastoma by γδT cells preserves neuronal and stem cell integrity by Lola Boutin, Mingzhi Liu, Julie Déchanet Merville, Oscar Bedoya-Reina, Margareta T Wilhelm

“…Importantly, preliminary safety data showed that γδT cells did not target differentiated neurons or neuroepithelial stem cells derived from induced pluripotent stem cells, underscoring the selectivity and safety of this approach. In conclusion, γδT cells trigger an efficient and specific killing of MB and would offer a promising novel therapeutic strategy.…”
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Efficient purification of CrocinI from saffron stigmas using antisolvent precipitation to implications for food technology by Elmira Fotouhi, Fateme Mirzajani, Hassan Rezadoost, Mohammad Hooshyari Ardakani

“…By utilizing antisolvent precipitation, the method offers a cost-effective, straightforward approach for enriching crocins, especially thermally sensitive crocin-I, without the need for complex heating or cooling systems. This method was a straightforward and efficient means of boosting the yield of very pure crocins, offering a scalable and practicable answer to the challenges of saffron extraction and purification.…”
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Multicomponent thiolactone-based ionizable lipid screening platform for efficient and tunable mRNA delivery to the lungs by Álvaro Peña, Juan Heredero, Beatriz Blandín, Elena Mata, Diego De Miguel, Alfonso Toro, Teresa Alejo, Diego Casabona, Alexandre López, Ana Gallego-Lleyda, Esther Pérez-Herrán, Juan Martínez-Oliván, Javier Giménez-Warren

“…Abstract Ionizable lipids are essential components of lipid nanoparticles (LNPs) for efficient mRNA delivery. However, designing them for high protein expression, endosomal escape, and organ targeting is challenging due to complex structure-activity relationships. …”
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Sample-Efficient Multi-Agent DQNs for Scalable Multi-Domain 5G+ Inter-Slice Orchestration by Pavlos Doanis, Thrasyvoulos Spyropoulos

“…For (ii), we explore multi-agent DQN algorithms that can reduce action space complexity by orders of magnitude compared to standard DQN. …”
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COMPLEX ASSESSMENT OF RISK FACTORS FOR PRECISE CHOICE OF REVASCULARIZATION STRATEGY IN ST ELEVATION MYOCARDIAL INFARCTION AND MULTIVESSEL CORONARY DISEASE by R. S. Tarasov, V. I. Ganyukov, E. S. Kagan, O. L. Barbarash, L. S. Barbarash

“…Invention of the model of differentiated strategy selection of revascularization in acute myocardial infarction with ST elevation (STEMI) and multivessel disease (MVD).Material and methods. …”
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High-entropy alloys catalyzing polymeric transformation of water pollutants with remarkably improved electron utilization efficiency by Ziwei Yao, Yidi Chen, Xiaodan Wang, Kunsheng Hu, Shiying Ren, Jinqiang Zhang, Zhao Song, Nanqi Ren, Xiaoguang Duan

“…The unique non-mineralization regime remarkably reduces PMS consumption and achieves a high electron utilization efficiency of up to 213.4%. Further DFT calculations and experimental analysis reveal that Fe and Co in HEA-NPs act as the primary catalytic sites to complex with PMS for activation, while Ni, Cu, and Pd serve as charge mediators to facilitate electron transfer. …”
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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

“…For the analysis, we selected a comprehensive set of environmental and geographical parameters influencing flood susceptibility. …”
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Efficient Rescue of Retinal Degeneration in Pde6a Mice by Engineered Base Editing and Prime Editing by Zhiquan Liu, Siyu Chen, Alexander E. Davis, Chien‐Hui Lo, Qing Wang, Tingting Li, Ke Ning, Qi Zhang, Jingyu Zhao, Sui Wang, Yang Sun

“…Notably, the optimal PE system, delivered via dual adeno‐associated virus (AAV), precisely corrects the pathogenic mutation with average 9.4% efficiency, with no detectable bystander editing. This correction restores PDE6A protein expression, preserved photoreceptors, and rescued retinal function in Pde6a mice. …”
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Leveraging FastViT based knowledge distillation with EfficientNet-B0 for diabetic retinopathy severity classification by Jyotirmayee Rautaray, Ali B.M. Ali, Meenakshi Kandpal, Pranati Mishra, Rzgar Farooq Rashid, Farzona Alimova, Mohamed Kallel, Nadia Batool

“…This study presents FastEffNet, a novel framework that leverages transformer-based knowledge distillation (KD) to enhance DR severity classification while reducing computational complexity. The proposed approach employs FastViT-MA26 as the teacher model and EfficientNet-B0 as the student model, striking the ideal mix between accuracy and computational efficiency. …”
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Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

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Mt or not Mt: Temporal variation in detection probability in spatial capture-recapture and occupancy models by Sollmann, Rahel

“…Here, I investigate whether closed spatial capture-recapture (SCR) and single season occupancy models are robust to ignoring temporal variation in detection probability. Ignoring temporal variation allows collapsing detection data across repeated sampling occasions, speeding up computations, which can be important when analyzing large datasets with complex models. …”
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Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

“…YOLOv4-tiny is faster and more efficient than its predecessors, offering real-time detection with reduced computational complexity. …”
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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

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Automated graph-based detection of quantum control schemes: Application to molecular laser cooling by Anna Dawid, Niccoló Bigagli, Daniel W. Savin, Sebastian Will

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A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles by Duc Tai Nguyen, Phuoc Bao Long Do, Doan Dang Khoa Nguyen, Wei-Chih Lin

“…Notably, the proposed model outperforms the previous detection models, offering high accuracy while optimizing computational efficiency. …”
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Constrained search space selection based optimization approach for enhanced reduced order approximation of interconnected power system models by Bala Bhaskar Duddeti, Asim Kumar Naskar, V. P. Meena, Jitendra Bahadur, Ibrahim A. Hameed

“…Abstract Metaheuristic search-based optimization strategies have recently emerged to obtain approximated models for interconnected complex power systems. However, these algorithms are frequently criticized for randomly selecting lower and upper search space boundaries and taking longer to simulate. …”
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RLEAFS: Reinforcement Learning-Based Energy Aware Forwarding Strategy for NDN-Based IoT Networks by Naeem Ali Askar, Adib Habbal

“…Our Strategy integrates Q learning algorithm into path selection procedure, focusing on minimizing energy consumption and extending network lifetime while maintaining efficient data delivery. …”
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Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

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YOLO-Wheat: A More Accurate Real-Time Detection Algorithm for Wheat Pests by Yongkang Liu, Qinghao Wang, Qi Zheng, Yong Liu

“…Wheat pests exhibit considerable diversity and are often found in complex environmental contexts. Intraspecies variation among wheat pests can be substantial, while differences between species may be minimal, making accurate pest detection a difficult task. …”
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