Deep learning-based improved transformer model on android malware detection and classification in internet of vehicles by Naif Almakayeel

“…Machine learning (ML) techniques cannot detect every new and complex malware variant. The deep learning (DL) model is an efficient tool for detecting various malware variants. …”
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Discrete Immolative Guanidinium Transporters deliver mRNA to specific organs and red blood cells by Zhijian Li, Aloysius Ee, Laura Amaya, Jennifer L. Hamad, Pavan K. Yadav, Sean K. Wang, Howard Y. Chang, Paul A. Wender

“…Existing delivery systems often suffer from laborious syntheses, limited organ selectivity, formulation complexity, and undesired inflammatory responses. …”
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Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees by Jesus Perez-Valero, Pablo Serrano, Jaime Garcia-Reinoso, Albert Banchs, Xavier Costa-Perez

“…As next-generation mobile networks increasingly rely on virtualized infrastructure to deliver critical services, ensuring both the efficiency and reliability of server farms becomes essential. …”
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Can mechanistic constraints on recombination reestablishment explain the long-term maintenance of degenerate sex chromosomes? by Lenormand, Thomas, Roze, Denis

“…In the long term, recombination suppression may be maintained for selective reasons (e.g., involving the emergence of nascent dosage compensation), or due to mechanistic constraints preventing the reestablishment of recombination, for instance when complex chromosomal rearrangements evolve on the Y. …”
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Beyond Adaptive Control: A Control Method for Nonlinear Systems With Uncertainties, Applied to COVID-19 by Andrew C. Mathis, Juan A. Carretero, Jonathon W. Sensinger

“…When the outcome of an action cannot be precisely known, it is difficult to select actions to get a desired result. This problem can be caused by uncertain parameters, such as not knowing how slippery a road is when driving in icy conditions. …”
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Variable neighbourhood search for connected graphs of fixed order and size with minimal spectral radius by Kristina Kostić, Zorica Dražić, Aleksandar Savić, Zoran Stanić

“…The search efficiently results in solutions that are (in a precise sense) close to the optimal ones, i.e. to minimizers.…”
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Progress in Stereoselective Haloamination of Olefins by Guo Zhong, Jiayu Zhou, Bin Cui, Hui Sun

“…It examines the innovations in catalyst design that have facilitated more efficient and selective transformations. The review also analyzes the optimization of reaction conditions, which has been crucial in improving the overall performance and applicability of these reactions. …”
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Synthetic Pre-miRNA-Based shRNA as Potent RNAi Triggers by Kazuya Terasawa, Kazuharu Shimizu, Gozoh Tsujimoto

“…We demonstrated that chemically synthetic pre-miRNA-based shRNAs have more potent RNAi activity than their corresponding siRNAs and found that their antisense strands are more efficiently incorporated into the RNA-induced silencing complex. …”
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Advances in value-added depolymerization by catalytic fast pyrolysis of lignin by SHEN Weiwei, CAO Bin, HE Sirong, JIANG Ding, MU Mao, WANG Shuang*

“…However, there are challenges such as low product selectivity and poor product stability in the direct pyrolysis process, which limit the efficient conversion and economic viability of lignin-based conversion. …”
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GAPO: A Graph Attention-Based Reinforcement Learning Algorithm for Congestion-Aware Task Offloading in Multi-Hop Vehicular Edge Computing by Hongwei Zhao, Xuyan Li, Chengrui Li, Lu Yao

“…Efficient task offloading for delay-sensitive applications, such as autonomous driving, presents a significant challenge in multi-hop Vehicular Edge Computing (VEC) networks, primarily due to high vehicle mobility, dynamic network topologies, and complex end-to-end congestion problems. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…Although some models showed error rates of 7.8% and 7.4% in hip circumference measurements, this was attributed to the complexity of 3D structures and the challenges in selecting keypoint locations. …”
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Five-Level MLI-Based Grid-Connected Photovoltaic Systems: A Review on Control Methodologies, Modulation Strategies and Recent Developments by Anurag Tiwari, Vinayak Kumar, Ruchi Agarwal, Mohammad Amir, Mohammed A. Alharbi, S. M. Muyeen

“…Examples of these techniques include pulse width modulation (PWM) and selective harmonic elimination (SHE). Further analysis of the structural features of five-level MLI-based systems is done, which helps to clarify the trade-offs between complexity, dependability, and cost. …”
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High-Switching-Frequency SiC Power Conversion Systems with Improved Finite Control Set Method Prediction Control by Yibiao Fan, Lixia Tong, Yingjie Lu, Xiaowei Cai, Zhihe Fu, Xingkui Mao

“…This simple improved strategy can reduce the computational complexity of traditional MPC for rolling optimization, resulting in a reduction in the vectors from 27 to 8. …”
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ANTIFUNGAL POTENTIAL OF BIOACTIVE COMPOUNDS OF BIOWASTE FRUIT PEEL OF PUNICA GRANATUM AGAINST PATHOGENIC FUNGI by RICHA SAXENA, RICHA SHARMA, GAJANAND SHARMA, PANKAJ SAXENA

“…Therefore, the current study aims to account the PG II fraction of biowaste fruit peel of P. granatum is a major source of polyphenolic complexes. Although, the present study recommended the pomegranate biowaste fruit peel that can place as a relatively more precious plant source of herbal secondary metabolites for rising novel efficient food-pharma constituents with encouraging human being fitness.…”
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The Function of TiO2 with Respect to Sensitizer Stability in Nanocrystalline Dye Solar Cells by A. Barkschat, T. Moehl, B. Macht, H. Tributsch

“…In presence of TiO2, it is enhanced by formation of a stabilizing charge-transfer complex between oxidized Ru dye and back-bonding interfacial Ti3+ states. …”
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A Review on New Frontiers in Drug-Drug Interaction Predictions and Safety Evaluations with In Vitro Cellular Models by Lara Marques, Nuno Vale

“…While indispensable, these approaches have inherent limitations in scalability, cost, and ability to predict complex interactions. Recent advancements in analytical technologies, particularly the development of more sophisticated cellular models and computational modeling, have paved the way for more accurate and efficient DDI assessments. …”
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Evaluating a Hybrid LLM Q-Learning/DQN Framework for Adaptive Obstacle Avoidance in Embedded Robotics by Rihem Farkh, Ghislain Oudinet, Thibaut Deleruyelle

“…The LLM addresses traditional Q-learning limitations, such as slow convergence and poor adaptability, by analyzing action histories and optimizing decision-making policies in complex, dynamic environments. A selective triggering mechanism ensures efficient LLM intervention, minimizing computational overhead. …”
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Dynamic Ionic Environment Modulation for Precise Electrosynthesis of Heterostructured Bimetallic Nanoparticles by Heekwon Lee, Xun Zhan, Jamie H. Warner, Hang Ren

“…The high spatial resolution and on‐demand control over the composition and structure make this method well‐suitable for creating arrays of complex, multi‐metallic heterostructures, which is expected to accelerate the discovery of advanced electrocatalytic materials, offering a platform for efficient and scalable electrocatalyst screening.…”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. …”
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Thermostabilization of the Human Serotonin Transporter in an Antidepressant-Bound Conformation. by Evan M Green, Jonathan A Coleman, Eric Gouaux

“…To identify a human SERT (hSERT) construct suitable for detailed biochemical and structural studies, we developed an efficient thermostability screening protocol and rapidly screened 219 mutations for thermostabilization of hSERT in complex with the SSRI paroxetine. …”
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