Enhancing confidentiality and access control in electronic health record systems using a hybrid hashing blockchain framework by D. Gowtham Chakravarthy, R. Gopi, Sivaram Murugan, Emerson Raja Joseph

“…The system shows robust resistance to illegal access compared to traditional role-based access control systems.…”
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A Novel Framework for Financial Cybersecurity and Fraud Detection Using XAI-RNN-SGRU by Smarajit Ghosh

“…This model enhances financial data prediction and cybersecurity through advanced preprocessing for handling missing values and data imbalance, and it also normalizes numerical features and encodes categorical variables. Enhanced Principal Component Analysis (EPCA) and Improved Fast Random Opposition-based learning Aphid Ant Optimization (AAO) are utilized for feature extraction and desired feature selection. …”
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Usability in learning management systems: A mixed-method analysis by Pembe Pelin Koca, Hakan Özcan

“…Based on findings from both the SUS responses and interview data, several recommendations were proposed, such as enhancing system infrastructure, simplifying the interface, improving instructional guidance, strengthening interaction features, optimizing file management, refining notification systems, addressing character encoding issues, and streamlining listing and reporting functions. …”
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Accurate disaster entity recognition based on contextual embeddings in self-attentive BiLSTM-CRF. by Noor E Hafsa, Hadeel Mohammed Alzoubi, Atikah Saeed Almutlq

“…We compare the performance of our proposed model with existing word embedding approaches. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…By capturing both spatial relationships and temporal patterns, the proposed framework ensures comprehensive insights into system behavior, enabling proactive decision-making and operational optimization. Experimental results on real-world railway datasets demonstrate superior performance in accuracy, scalability, and interpretability compared to traditional methods, underscoring the potential of our approach for next-generation intelligent railway systems. …”
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Immune Response of Bos indicus Cattle against the Anti-Tick Antigen Bm91 Derived from Local Rhipicephalus (Boophilus) microplus Ticks and Its Effect on Tick Reproduction under Natu... by Christian Lambertz, Natthaphon Chongkasikit, Sathaporn Jittapalapong, Matthias Gauly

“…Antigens of anti-tick vaccines are more efficacious for homologous challenge with local tick strains. cDNA clones encoding for Bm91 from local Rhipicephalus (Boophilus) microplus strains were developed to immunize Bos indicus cattle under field conditions. …”
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Reconstruction for Scanning LiDAR with Array GM-APD on Mobile Platform by Di Liu, Jianfeng Sun, Wei Lu, Sining Li, Xin Zhou

“…Then, an optimization equation is constructed based on the negative-binomial distribution detection model of GM-APD. …”
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High-Throughput Photonic Time-Stretch Optical Coherence Tomography with Data Compression by Chaitanya K. Mididoddi, Fangliang Bai, Guoqing Wang, Jinchao Liu, Stuart Gibson, Chao Wang

“…In addition, using a dual pulse integration method, capability of improving frequency measurement resolution in the proposed system has been demonstrated. A number of optimization algorithms for the reconstruction of the frequency-domain OCT signals have been compared in terms of reconstruction accuracy and efficiency. …”
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GTrXL-SAC-Based Path Planning and Obstacle-Aware Control Decision-Making for UAV Autonomous Control by Jingyi Huang, Yujie Cui, Guipeng Xi, Shuangxia Bai, Bo Li, Geng Wang, Evgeny Neretin

“…Experimental results in the AirSim drone simulation environment demonstrate that compared to PPO and SAC algorithms, GTrXL-SAC achieves more precise policy exploration and optimization, enabling superior control of drone velocity and attitude for stabilized flight while accelerating convergence speed by nearly 20%.…”
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A cGAMP‐Containing Hydrogel for Prolonged SARS‐CoV‐2 Receptor‐Binding Domain Subunit Vaccine Exposure Induces a Broad and Potent Humoral Response by Volker Böhnert, Emily C. Gale, Lauren J. Lahey, Jerry Yan, Abigail E. Powell, Ben S. Ou, Jacqueline A. Carozza, Lingyin Li, Eric A. Appel

“…Although the RBD subunit is more stable than its encoding mRNA, RBD is poorly immunogenic. It is hypothesized that this limitation can be overcome by sustained coadministration with a more potent and optimized adjuvant than standard adjuvants. …”
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Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models by Mehmet Acı, Nisa Vuran Sarı, Çiğdem İnan Acı

“…These findings highlight the potential of carefully optimized Transformer-based NMT systems in handling the complexities of morphologically rich, low-resource languages like Turkish in both translation directions.…”
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MetaStackD A robust meta learning based deep ensemble model for prediction of sensors battery life in IoE environment by D. Gayathri, S. P. Shantharajah

“…The model size is reduced by 95.23% when compared to traditional voting ensembles.…”
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An improved synergistic dual-layer feature selection algorithm with two type classifier for efficient intrusion detection in IoT environment by G Logeswari, K Thangaramya, M Selvi, J. Deepika Roselind

“…The data pre-processing subsystem ensures high-quality data by addressing missing values, removing duplicates, applying one-hot encoding, and normalizing features using min-max scaling. …”
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Pharmacogenetics as a Way for Personalizing Diuretic Therapy: Focus on Torasemide by N. M. Gafurova, E. V. Shikh, O. D. Ostroumova

“…Optimizing diuretic therapy in patients with chronic heart failure is a complicated problem with many unresolved questions. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…Second, a novel encoding mechanism leverages NAF’s hierarchical structure to capture complex data patterns. …”
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Features of influenza virus hemagglutinin genes and their recoding possibilities by Eugene P. Kharchenko

“…The frequency of CpG dinucleotides in all studied strains is low, but a potential for optimizing it in H1N1 strains due to the prohibition of the quartet in the gene for arginine-encoding codons is especially limited and can be implemented through synonymous codons of other amino acids (alanine, proline, threonine or serine). …”
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Effect of C-344T polymorphism of aldosterone synthase gene on variability of antihypertensive therapy with angiotensin II receptor blockers: open randomized controlled clinical tri... by E. V. Rebrova, E. V. Shikh, N. B. Lazareva

“…There was a trend toward a slightly more pronounced decrease in the daytime HR in the heterozygotes receiving irbesartan by a mean of 1.9 bpm compared to the CC homozygotes (p=0.059). The CT heterozygotes taking valsartan, were characterized by a less pronounced decrease in the HR by a mean of 1.4 bpm compared to the TT homozygotes (p=0.045). …”
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STNet: Prediction of Underwater Sound Speed Profiles with an Advanced Semi-Transformer Neural Network by Wei Huang, Junpeng Lu, Jiajun Lu, Yanan Wu, Hao Zhang, Tianhe Xu

“…Through the architectural optimization of the transformer framework and integration of a time encoding mechanism, STNet could effectively improve computational efficiency. …”
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Assessing the Accuracy and Reliability of Large Language Models in Psychiatry Using Standardized Multiple-Choice Questions: Cross-Sectional Study by Kaitlin Hanss, Karthik V Sarma, Anne L Glowinski, Andrew Krystal, Ramotse Saunders, Andrew Halls, Sasha Gorrell, Erin Reilly

“…The findings suggest that GPT-4 and GPT-4o encode accurate and reliable general psychiatric knowledge and that methods, such as repeated prompting, may provide a measure of LLM response confidence. …”
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TDP-43 pathology is associated with divergent protein profiles in ALS brain and spinal cord by Emily Feneberg, Alexander G. Thompson, Philip D. Charles, Iolanda Vendrell, Benedikt M. Kessler, Roman Fischer, Olaf Ansorge, Elizabeth Gray, Kevin Talbot, Martin R. Turner

“…A common upregulation of proteins encoded by ALS-causing genes implicates their role in the pathogenesis of the ALS-FTD spectrum of diseases beyond TDP-43. …”
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