Evaluation of transduction efficiency in pancreatic beta and alpha cells utilizing various AAV serotypes by Vishal Ahuja, Sanjeev Jeyabalan, Emmanuel S. Tzanakakis

“…Currently, AAV serotype 8 (AAV8) is the primary AAV vector employed for transducing pancreatic cells for transgene expression. …”
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The Impact of Tax Morality on Tax Evasion: Evidence of EU Countries by Oleksiy Mazurenko, Inna Tiutiunyk, Lilia Derkach

“…A set of direct and indirect factors that affect the changing trends of the main indicators of its functioning and determine the key vectors of state policy define the pace of the country’s economic development. …”
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Mapping sugarcane plantations in Northeast Thailand using multi-temporal data from multi-sensors and machine-learning algorithms by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Jaturong Som-Ard, Alvaro Moreno-Martinez, Vorraveerukorn Veerachit, Jantima Polpinij, Kanokporn Rattanasuteerakul

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Evaluating the Influence of Carbon Fiber on the Mechanical Characteristics and Electrical Conductivity of Roller-Compacted Concrete Containing Waste Ceramic Aggregates Exposed to F... by Danial Nasr, Rezvan Babagoli, Mohsen Rezaei, Arsalan Andarz

“…Furthermore, annually, large quantities of ceramic materials become waste due to their fragile nature during processing, transport, and installation, and their accumulation in the nature has brought about environmental and health-related concerns. …”
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Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…Chronic neuropathic pain presents a multifaceted clinical challenge, originating from nerve damage or dysfunction, leading to persistent pain and altered sensory processing in the nervous system. This condition poses formidable hurdles in both diagnosis and treatment, often intertwined with a myriad of other medical conditions. …”
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Methicillin Resistant Staphylococcus aureus nasal carriage among apparently healthy University Students by Ahmed Olowo-okere 1* , Umar Maryam 1 , Mus’ab Ibrahim 1 , Habeebah Olufe Owolabi 1 , Adeiza Suleiman Shuaibu , Adeboye Olusoji Lekan , Mustapha Usman , Abdulmalik Aliyu , Larbi Zakaria Nabti , Abdourahmane Yacouba

“…They may serve as reservoirs or vector and occasionally as victims of MRSA cross-contamination. …”
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Design and evaluation of a poly-epitope based vaccine for the induction of influenza A virus cross-reactive CD8 + T cell responses by Sharmistha Dam, Alina Tscherne, Leoni Engels, Gerd Sutter, Albert D. M. E. Osterhaus, Guus F. Rimmelzwaan

“…For efficient antigen processing and presentation, the epitopes were separated by spacer sequences. …”
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The DOA Estimation Algorithm Based on Virtual Domain Block Matching for Nested Arrays in the Presence of Mutual Coupling by Shun He, Nan Sun, Zhiwei Yang, Le Qin

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Identification of Biomarkers Associated with Heart Failure Caused by Idiopathic Dilated Cardiomyopathy Using WGCNA and Machine Learning Algorithms by Mengyi Sun, Linping Li

“…Candidate genes were identified by intersecting the key module genes identified via WGCNA with DEGs and further screened via the support vector machine-recursive feature elimination (SVM-RFE) method and the least absolute shrinkage and selection operator (LASSO) algorithm. …”
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Automatic essay scoring for discussion forum in online learning based on semantic and keyword similarities by Bachriah Fatwa Dhini, Abba Suganda Girsang, Unggul Utan Sufandi, Heny Kurniawati

“…This research proposes essay scoring, which is conducted through two parameters, semantic and keyword similarities, using a SentenceTransformers pre-trained model that can construct the highest vector embedding. Combining these models is used to optimize the model with increasing accuracy. …”
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Machine learning analysis of integrated ABP and PPG signals towards early detection of coronary artery disease by Amandeep Minhas, Subhash Chandra Pal, Karan Jain

“…Secondly, the collected data is pre-processed using band pass filters having bandwidths of 2.5 to 16 Hz and 1.5 to 16 Hz for ABP and PPG respectively. …”
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Revolutionizing agri-food technology: Development and validation of the Portable Intelligent Oil Recognition System (PIORS) by Montaser N.A. Ramadan, Mohammed A.H. Ali, Shin Yee Khoo, Layth Hamad, Mohammad Alkhedher

“…Several Machine learning models, including Support Vector Machines (SVM), AdaBoost, Random Forest, K-Nearest Neighbors (K-NN), Gradient-Boosting Decision Tree (GBDT), and Extreme Gradient Boosting (XGBoost) were implemented and thoroughly validated to obtain correct categorization. …”
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Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

“…Local binary pattern (LBP) texture features and RGB color features are extracted from these blocks to characterize surface properties of three beef types (Wagyu, regular, and fat-injected). A support vector machine (SVM) model classifies the blocks, with the final image classification determined via majority voting. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…Traditional machine learning algorithms frequently experience overfitting when processing high-dimensional time-series data or substantial numbers of outliers, impeding the accurate prediction of various vegetation metrics. …”
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Machine-learning-based analytics for risk forecasting of anaphylaxis during general anesthesia by Shuang Liu, Yasuyuki Suzuki, Toshihiro Yorozuya, Masaki Mogi

“…To develop a personalized risk forecast platform for general anesthesia-related anaphylaxis, as a first step, we aimed to investigate the feasibility of machine-learning-based classification using clinical features of patients for risk prediction of anesthesia-related anaphylaxis. After data pre-processing, the performance of five classification methods: Logistic Regression Analysis, Support Vector Machine, Random Forest, Linear Discriminant Analysis, and Naïve Bayes), which were integrated with four feature selection methods (Recursive Feature Elimination, Chi-Squared Method, Correlation-based Feature Selection, and Information Gain Ratio), was evaluated using two-layer cross-validation. …”
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CENTRAL ASIAN GEODYNAMIC REGIMES WEST AND EAST 102–104° GEODIVIDER by Yu. G. Gatinsky, T. V. Prokhorova, D. V. Rundquist

“…Changes in the horizontal displacement vector are accompanied by the change of tectonic strain regimes. …”
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Construction of a proteolysis-resistant peptide sequence of the food recombinant protein GDF-11 and plasmid synthesis for its expression in E. coli by Valieva Sh. S., Tikhonov S. L., Tikhonova N. V., Timofeeva M. S., Shikhalev S. V.

“…The GDF-11 protein has a positive effect on animals and humans in inflammatory and infectious processes, regeneration and rejuvenation, its high expression is observed in many organs and tissues. …”
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Pedagogical conditions for ensuring continuity in the development of coherent speech in older preschool children and first graders by Olga V. Romanova

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The Role of Education in Building National Soft Power: An Empirical Analysis From a Global Perspective Using Deep Neural Networks by Yun Bai

“…These advancements have led to significant achievements in predictive modeling, data analysis, and decision-making processes. However, there remains a need for more sophisticated models that can accurately capture complex relationships in dynamic, real-world datasets. …”
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EDB-Net: Efficient Dual-Branch Convolutional Transformer Network for Hyperspectral Image Classification by Hufeng Guo, Wenyi Liu

“…Hyperspectral image (HSI) classification, as a pivotal technology in remote sensing data processing, has garnered significant attention in recent years. …”
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