Harnessing chitosan for zinc and hydroxychloroquine delivery, interactions with fibronectin, and antibacterial activity by Anju Manuja, Juhi Nagra, Dharvi Chhabra, Kanish Manuja, Monika Sihag, Minakshi Prasad, Balvinder Kumar

“…Chitosan, a natural polysaccharide derived from chitin, has gained attention for its dual role as an effective delivery method and as an antibacterial agent. Chitosan was selected as an efficient carrier for zinc (Zn) and hydroxychloroquine (HC) due to its ability to mitigate their adverse effects. …”
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A functionally tunable magnetic nanochains platform for N-glycoproteomic analysis of extracellular vesicles from ultratrace biofluids by Mingyang Li, Xiaorong Song, Haixia Tu, Jie Sun, Yuanyuan Deng, Bing Wang, Yuhan Cai, Yulian Wang, Bin Li, Yue Wang, Xiangzheng Zhang, Dong Wei, Xiaoyu Yang, Yueshuai Guo, Xiang Li, Jie Gu, Jie Ni, Yifan Zhou, Zhongze Gu, Zhuoying Xie, Yan Li, Xuejiang Guo

“…Abstract Extracellular vesicles (EVs) carry complex glycoproteins critical mediators of disease progression and hold great potential for liquid biopsy applications. …”
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Joint Transmit-receive Beam Design of FDA-MIMO Dual-function Radar-communication Systems for Radio-frequency Stealth by Haozheng WU, Chenguang SHI, Jianjiang ZHOU

“…Efficient Radio-Frequency (RF) stealth is crucial for Dual-Function Radar-Communication (DFRC) systems that detect radar stealth and con vert communication transmission. …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

“…Furthermore, additional visual-inertial datasets quantify the overall performance, especially in retrieving metric positioning information. The research shows efficient backscatter removal improves feature detection robustness, especially in murky water conditions. …”
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Investigating a three-dimensional convolution recognition model for acoustic emission signal analysis during uniaxial compression failure of coal by Tao Wang, Zishuo Liu, Liyuan Liu

“…By integrating group convolution and SE modules, this model significantly reduced both model and time complexity while preserving precision, enhancing efficiency. …”
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An analysis of unconventional grid sizes for wind farm layout optimization using a genetic algorithm by Mohandes Mohamed, Khan Salman A., Rehman Shafiqur, Al-Shaikhi Ali, Iqbal Kashif

“…Results indicate that the maximum average conversion efficiency of 0.992 was obtained with a grid size of 19×19, while a grid size of 10×10 produced the minimum average conversion efficiency of 0.813. …”
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Advancing Monoclonal Antibody Manufacturing: Process Optimization, Cost Reduction Strategies, and Emerging Technologies by Ranbhor R

“…Integration of machine learning and advanced analytics has significantly enhanced process control and optimization capabilities.Conclusion: The evolution of mAb manufacturing technologies offers promising pathways for improving production efficiency and reducing costs. Scale-dependent considerations remain crucial in selecting optimal manufacturing strategies, while emerging technologies present new opportunities for process optimization. …”
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Laser-cooled ^{137}BaF molecules for measuring nuclear-spin-dependent parity violation by Felix Kogel, Tatsam Garg, Marian Rockenhäuser, Tim Langen

“…Our results pave the way for efficient state preparation, detection, and cooling in precision measurements using this species and other similar species.…”
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Reducing Execution Time of Pixel-Based Machine Learning Classification Algorithms Using Parallel Processing Concept by Aliaa Mahmoud, Mohammed Younis

“…Which contributes to significant improvements in performance and time efficiency. This research demonstrated the impact of parallel processing on the performance and time efficiency of machine learning for pixel-based image classification techniques. …”
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Study on numerical simulation of rock breaking by PDC wear teeth cutting by Maosheng CAI, Hongbo WANG, Chunjiang ZHANG, Sai LI, Shuting CHENG

“…Conclusions: The force on a cutter with excessive wear is more complex and variable, increasing the risk of fatigue failure. …”
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SET OF ORGANIZATIONALLY-DIDACTIC CONDITIONS OF THE MODEL OF STUDENTS’ AUTONOMY DEVELOPMENT SYSTEM IMPLEMENTATION by Roman A. Popov

“…It is at the higher school that the sharp increase of educational-cognitive activeness is observed; students actively absorb new humanitarian concepts of interdisciplinary content (from social studies, cultural sciences, literature studies, etc.) along with mastering the complex of educationalcognitive actions and skills. …”
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A Novel Web‐Based Approach for Monitoring Biodiversity by Rajendra Mohan Panda, Padmanava Dash, Partha Sarathi Roy

“…However, biodiversity monitoring needs improvement to handle complex datasets and their analyses. This study attempts to understand these ecological complexities quickly, efficiently, and easily. …”
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Sensitivity analysis of the INRA 2018 feeding system for ruminants by hybrid local and global approaches: Comparing the contribution of dietary input variables to multiple response... by Seoyoung Jeon, Tristan Senga Kiessé, Sophie Lemosquet, Pierre Nozière

“…The sensitivity of 5 selected animal responses (output variables) to input variables was analyzed: DMI, milk protein yield (MPY), energy in methane (ECH4), nitrogen utilization efficiency (NUE), and the ratio between urine and total N excretion (UN/TN). …”
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Late-stage O-sulfation with a bioinspired sulfuryl donor by Ye Zheng, Li Huang, Chunlan Song, Jiakun Li

“…In nature, 3′-phosphoadenosine-5′-phosphosulfate (PAPS) and p-nitrophenyl sulfate (PNPS) are efficient sulfuryl donors. However, most chemical sulfuryl donors in O-sulfation, typically require harsh conditions and have not been demonstrated in complex molecules. …”
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A hybrid model for refining gross primary productivity estimation by integrating multiple environmental factors by Zhilong Li, Ziti Jiao, Zheyou Tan, Chenxia Wang, Jing Guo, Sizhe Chen, Ge Gao, Fangwen Yang, Xin Dong

“…In contrast, machine learning has the natural potential to detect intricate patterns and relationships among various environmental variables. …”
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A Novel -Inspired Routing Protocol for Wireless Sensor Networks by Mingchuan Zhang, Changqiao Xu, Jianfeng Guan, Ruijuan Zheng, Qingtao Wu, Hongke Zhang

“…There is a tradeoff between routing efficiency and energy equilibrium for sensor nodes in wireless sensor networks (WSNs). …”
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ARM-Net: A Tri-Phase Integrated Network for Hyperspectral Image Compression by Qizhi Fang, Zixuan Wang, Jingang Wang, Lili Zhang

“…However, these modules tend to increase computational complexity exponentially with the number of bands, which limits their performance under constrained resources. …”
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Infrastructure of interconnected microgrids: A review by Moshammed Nishat Tasnim, Tofael Ahmed, Shameem Ahmad, GM Shafiullah

“…Then, numerous factors like cost, reliability, scalability, flexibility, complexity, and efficiency that play a significant role in evaluating the performance of IMG structures are identified to present a comparative analysis among various architectural topologies. …”
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Frequency-bin-encoded entanglement-based quantum key distribution in a reconfigurable frequency-multiplexed network by Anahita Khodadad Kashi, Michael Kues

“…Abstract Large-scale quantum networks require dynamic and resource-efficient solutions to reduce system complexity with maintained security and performance to support growing number of users over large distances. …”
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Multidimensional Meteorological Variables for Wind Speed Forecasting in Qinghai Region of China: A Novel Approach by He Jiang, Luo Shihua, Yao Dong

“…To reduce the model complexity, Gram–Schmidt-based feature selection (GSFS) is applied to extract the important meteorological factors. …”
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