A structural genomics approach to investigate Dystrophin mutations and their impact on the molecular pathways of Duchenne muscular dystrophy by Abdelbaset Mohamed Elasbali, Farah Anjum, Osama A. AlKhamees, Waleed Abu Al-Soud, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Pathogenic potential was assessed using disease phenotype predictors and CADD scores, while allele frequency data from gnomAD contextualized mutation prevalence. Additionally, aggregation propensity, frustration analysis, and post-translational modification sites were analyzed for functional disruptions.ResultsOf the 184 substitutions analyzed, 50 were identified as deleterious, with 41 predicted to be pathogenic. …”
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Pulse-Width-Modulation For A Modified Hybrid 2/3-Level Converter by João H. G. Muniz, Edison R. C. da Silva, Euzeli C. dos Santos Jr, Diego A. A. Bueno

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The ferroelectric PLZT type ceramics as a material for transducers by Marek Czerwiec, Radosław Zachariasz, Jan Ilczuk

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RLSuccSite: succinylation sites prediction based on reinforcement learning dynamic with balanced reward mechanism and three-peaks enhanced method for physicochemical property score... by Lun Zhu, Qingchao Zhang, Sen Yang

“…Abstract Recent progress in computational biology has driven the development of machine learning models for predicting protein post-translational modification sites. …”
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Facile synthesis, characterization, molecular and dynamic optical properties of metronidazole and sulfamethoxazole adducts of tricarbonyl(1-5-η-2-methoxycyclohexadienylium)iron by Tunmise Tunrayo Eugene-Osoikhia, Adewale Saheed Olawoyin, Torhile Japhet Aasegh, Nnenna Winifred Odozi, Nathanael Damilare Ojo, Temidayo Oyetunde, Emmanuel Oloruntoba Yeye, Raymond Akong Akong, Emmanuel Usman Onche, Oluwatoba Emmanuel Oyeneyin, Ibrahim Adebayo Oladosu

“…Here, we synthesized new tricarbonyl [1,4-η-5-(4-amino-N-(5-methyl-1,2-oxazol-3yl)benzenesulfonamide) cyclohexa-1,3-diene]iron (1SF) and tricarbonyl[1,4-η-5-(2-(2-methyl-5-nitroimidazol-1-yl)ethanol)cyclohexa-1,3-diene] iron (1MF) by the modification of sulfamethoxazole (1S) and metronidazole (1 M) via their nucleophilic addition to 2-methoxydienyliumiron cation ([(1-5-η-2-MeOC6H6)Fe(CO)3] [PF6]. …”
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The Influence of the La3+ Content on the Mechanical Properties of Electrooptic Transducers Based on PLZT Type Ceramics by Marek CZERWIEC, Dagmara BRZEZIŃSKA, Radosław ZACHARIASZ, Jan ILCZUK

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Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…Extensive simulations demonstrate that our method significantly outperforms state-of-the-art approaches, achieving a 15.27% higher request insertion revenue rate and a 3.05% improvement in overall mission revenue rate, while maintaining a 1.17% lower modification rate and achieving faster computational speeds. …”
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Low power IoT device communication through hybrid AES-RSA encryption in MRA mode by Qiang Chang, Tianqi Ma, Wenzhong Yang

“…The enhanced RSA algorithm replaces the traditional dual-prime system with a triple-prime system, increasing the number of primes while reducing the bit length of each prime. This modification optimizes computational efficiency and strengthens security.Furthermore, we investigate the feasibility of integrating the RSA and AES algorithms and propose a novel RSA-AES hybrid algorithm MRA. …”
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VM-UNet++ research on crack image segmentation based on improved VM-UNet by Wenliang Tang, Ziyi Wu, Wei Wang, Youqin Pan, Weihua Gan

“…On the other hand, while Transformers are powerful in handling long-range dependencies, their high computational cost remains a significant challenge. To effectively address these issues, this paper proposes an innovative modification to the VM-UNet model. …”
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Beyond conditional averages: Estimating the individual causal effect distribution by Post Richard A. J., van den Heuvel Edwin R.

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Efficient and privacy-preserving certificateless data aggregation in Internet of things–enabled smart grid by Aijing Sun, Axin Wu, Xiaokun Zheng, Fangyuan Ren

“…The proposed scheme can resist replay attacks, modification attacks, and impersonation attacks. In the process of collecting data, computation of encryption and signature generation do not need expensive bilinear pairings. …”
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An open source FEM code for solving coupled thermo-poroelastoplastic processes by Matthew L. McLean, D. Nicolas Espinoza

“…The code is freely available to the general community for use and modification. …”
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Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes by Karolina Buka, Zofia Parteka-Tojek, Abhishek Agarwal, Michał Denkiewicz, Sevastianos Korsak, Mateusz Chiliński, Krzysztof H. Banecki, Dariusz Plewczynski

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Modulating Osteoclast Activity and Immune Responses with Ultra-Low-Dose Silver Nanoparticle-Loaded TiO₂ Nanotubes for Osteoporotic Bone Regeneration by Zhen Wang, Penghui Xiang, Zhe Xu, Meiqi Gu, Rui Zhang, Yifei Li, Fei Xin, Chengla Yi

“…In addition, Ag@TiO₂-NTs facilitated the polarization of macrophages toward the M2 phenotype. …”
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Electrically Controlled Meta-Switch With Nonvolatile Functionality by Yan Li, Weiwei Chen, Tingge Dai, Pengjun Wang

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A U-net based reconstruction of high-fidelity simulation results for flow around a ship hull based on low-fidelity inviscid flow simulation by Dayeon Kim, Jeongbeom Seo, Inwon Lee

“…To create the training dataset, a variety of hull forms are generated from six baseline hull forms using parametric modification function techniques. Inviscid and viscous flow data for each hull are obtained through potential flow analysis and computational fluid dynamics - simulations, respectively. …”
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Dynamic Mapping and 3D Perception Using Voxel Grid and Modified Artificial Potential Fields for Indoor Locomotion by Trihastuti Agustinah, Yurid Eka Nugraha, Aqil Rabbani Nurhadi, Vincentius Charles Maynad

“…Voxel grid filtering enhances computational efficiency, reducing processing time per iteration by up to 73% - from 0.247 seconds (raw LiDAR) to 0.067 seconds (voxel size of 0.9) - while maintaining obstacle detection accuracy. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The proposed IFST2, on the one hand, provide a formalization of more additional degrees of uncertainty compared to FST1, on the other hand, are "implemented" in the development of fuzzy systems (models) and have less computational complexity, compared to fuzzy sets of the second type (FST2).…”
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Script-Based Material and Geometrical Modeling of Steel–Concrete Composite Connections for Comprehensive Analysis Under Varied Configurations by Dániel Gosztola, Péter Grubits, János Szép, Majid Movahedi Rad

“…The Python-based parametric model allows for easy modification of design parameters, ensuring efficiency and minimizing modeling errors. …”
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ARMSprimer3: An open-source primer design Python program for amplification refractory mutation system PCR (ARMS-PCR) by Jingwen Guo, Jeremy Grojean, Huazhang Guo

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