On-chip integrated plasmon-induced high-performance self-powered Pt/GaN ultraviolet photodetector by Tong Xu, Shulin Sha, Kai Tang, Xuefeng Fan, Jinguo Liu, Caixia Kan, Gangyi Zhu, Feifei Qin, Daning Shi, Mingming Jiang

“…Herein, we experimentally exhibited a monolithically integrated ultraviolet photodetector utilizing GaN microcylinder epitaxial structure on Si wafer, with its photoresponse properties plasmonically boosted using Pt nanoparticles via specific sizes. …”
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Characterization of Interleukin-15-Transpresenting Dendritic Cells for Clinical Use by J. M. J. Van den Bergh, E. L. J. M. Smits, M. Versteven, H. De Reu, Z. N. Berneman, V. F. I. Van Tendeloo, E. Lion

“…In this context, we redesigned our currently clinically used DC vaccine generation protocol to enable transpresentation of interleukin- (IL-) 15 to IL-15Rβγ-expressing cells aiming at boosting the antitumor immune response. In this study, we demonstrate that upon electroporation with both IL-15 and IL-15Rα-encoding messenger RNA, mature DC become highly positive for surface IL-15, without influencing the expression of prototypic mature DC markers and with preservation of their cytokine-producing capacity and their migratory profile. …”
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The comparison of biodistribution of glutathione PEGylated nanoliposomal doxorubicin formulations prepared by pre‐insertion and post‐insertion methods for brain delivery in normal... by Amin Mehrabian, Saba Dadpour, Mohammad Mashreghi, Javad Zarqi, Anis Askarizadeh, Ali Badiee, Leila Arabi, Seyedeh Alia Moosavian, Mahmoud Reza Jaafari

“…Compared to the pre‐inserted formulation and Caelyx®, the post‐inserted formulations' concentration was lower in the heart and higher in brain tissues, resulting in boosting the brain concentration of accumulated doxorubicin with fewer possible side effects, including cardiotoxicity. …”
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An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems by Sankaramoorthy Muthubalaji, Naresh Kumar Muniyaraj, Sarvade Pedda Venkata Subba Rao, Kavitha Thandapani, Pasupuleti Rama Mohan, Thangam Somasundaram, Yousef Farhaoui

“…Here, an AdaBelief Exponential Feature Selection (AEFS) technique is used to efficiently handle the input huge datasets from the smart grid for boosting security. Then, a Kernel based Extreme Neural Network (KENN) technique is used to anticipate security vulnerabilities more effectively. …”
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Development of neighborhood networks in suburban areas for persuading women to adhere to breast cancer screening programs by Towhid Babazadeh, Zeinab Javadivala, Fatemeh Yaghoubi, Shayesteh Shirzadi, Hava Özkan, Hamid Allahverdipour

“…Conclusion: Harnessing the power of social networks alongside educational initiatives and strong community support can provide a safe, affordable, and effective means of boosting participation in Breast Cancer Screening (BCS).…”
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A meta-analysis on plant growth and heavy metals uptake with the application of 2,4-epibrassinolide in contaminated soils by Kuiju Niu, Hong Xiao, Yong Wang, Ting Cui, Chunxu Zhao

“…EBR application enhanced photosynthesis and the mitigation of oxidative damage by significantly boosting antioxidant enzyme activity, non-enzymatic antioxidants, and metabolites. …”
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Presenting a model for the diagnosis of heart failure using cumulative and deep learning algorithms: a case study of tehran heart center by Amir Hossein Hariri, Esmaeil Bagheri, Sayyed Mohammad Reza Davoodi

“…In the classification phase, basic techniques were used, including a decision tree, a neural network, and different cumulative techniques such as gradient boosting, random forest, and the novel deep learning method. …”
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Dopamine and 24-Epibrassinolide Upregulate Root Resilience, Mitigating Lead Stress on Leaf Tissue and Stomatal Performance in Tomato Plants by Lohana Ribeiro Prestes, Madson Mateus Santos da Silva, Sharon Graziela Alves da Silva, Maria Andressa Fernandes Gonçalves, Bruno Lemos Batista, Ivan Becari Viana, Allan Klynger da Silva Lobato

“…Parallelly, stomatal performance was boosted after treatments with EBR and DOP, confirmed by increments in stomatal density. …”
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Progressive Bitwidth Assignment Approaches for Efficient Capsule Networks Quantization by Mohsen Raji, Amir Ghazizadeh Ahsaei, Kimia Soroush, Behnam Ghavami

“…This technique not only reduces the memory footprint but also maintains accuracy by introducing a range clipping method tailored to the hardware’s capabilities, obviating the need for data preprocessing. Our experimental results on ShallowCaps and DeepCaps networks across multiple datasets (MNIST, Fashion-MNIST, CIFAR-10, and SVHN) demonstrate the efficiency of our approach. …”
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Study on Management of Blood Transfusion Therapy in Patients with Hereditary Spherocytosis by Shiyue Ma, Lingjian Tang, Chaoli Wu, Hui Tang, Xue Pu, Jinhong Niu

“…For patients with infections, hemoglobin concentration can be restored once the infection is controlled, thus obviating the need for proper infection control before blood transfusion.…”
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Low Profile Planar Inverted-L Antenna (PILA) for UHF RFID Tag on Signal Absorption and Reflection Surfaces by Minh-Tan Nguyen, Yi-Fang Lin, Chien-Hung Chen, Hoang-Son Luong, Hua-Ming Chen

“…The design enables effective tag antenna operation when attached to surfaces with varying signal absorption and reflection characteristics, obviating the need for a complete antenna redesign. …”
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Advancing Orthodontic Aesthetics: Exploring the Potential of Injectable Composite Resin Techniques for Enhanced Smile Transformations by Davide Spadoni, Cristina Valeri, Vincenzo Quinzi, Ute Schneider Moser, Giuseppe Marzo

“…Due to the fluid properties of the composite, it efficiently fills the silicone tray and seamlessly integrates with the tooth structure, often obviating tooth preparation and preserving overall tooth integrity. …”
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THrombosis AETiology of Aviation-Related Travel: The THETA θ study by B F Jacobson, S Louw, E Schapkaitz, F Laher

“…Future research should focus on whether thromboprophylaxis can significantly obviate the activation of coagulation in response to high altitude. …”
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Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines by Federico Ricci, Massimiliano Avana, Francesco Mariani

“…Additionally, the artificial neural network is employed to predict the equivalent flame radius, thereby obviating the need for repeated tests using dedicated high-speed cameras in optical access research engines, due to the resource-intensive nature of data acquisition and post-processing. …”
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Effects of orally administered clioquinol on the fecal microbiome of horses by Mikaila Z. Smith, Mary York, Kile S. Townsend, Lynn M. Martin, Tamara Gull, Lyndon M. Coghill, Aaron C. Ericsson, Philip J. Johnson

“…Main Limitations Limitations including lack of control group and modest sample size are obviated by robust longitudinal study design and strong effect size associated with drug exposure. …”
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Incidence and Mechanisms of Coronary Perforations during Rotational Atherectomy in Modern Practice by Yen-Hsiang Wang, Wei-Jhong Chen, Yu-Wei Chen, Chih-Hung Lai, Chieh-Shou Su, Wei-Chun Chang, Chi-Yen Wang, Kae-Woei Liang, Tsun-Jui Liu, Wen-Lieng Lee

“…However, rotational atherectomy (RA)-induced coronary perforations (CPs) still could not be obviated. This study was to explore incidence and mechanisms of RA-induced CP in real-world practice. …”
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Design of an Evolutionary Approach for Intrusion Detection by Gulshan Kumar, Krishan Kumar

“…The proposed approach can discover individual solutions and ensemble solutions thereof with a good support and a detection rate from benchmark datasets (in comparison with well-known ensemble methods like bagging and boosting). In addition, the proposed approach is a generalized classification approach that is applicable to the problem of any field having multiple conflicting objectives, and a dataset can be represented in the form of labelled instances in terms of its features.…”
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The impact of digital literacy in enhancing individuals’ health in China by Jing Yang, Qianyu Shen, Xi Tong, Pundarik Mukhopadhaya

“…According to mechanism analysis, digital literacy can enhance individuals’ health by boosting income, improving employment quality, and expanding informal social support; however, the effects vary on physical and mental health. …”
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Machine learning identifies the association between second primary malignancies and postoperative radiotherapy in young-onset breast cancer patients. by Yulin Lai, Peiyuan Huang

“…<h4>Methods</h4>Machine learning components, including ridge regression, XGBoost, k-nearest neighbor, light gradient boosting machine, logistic regression, support vector machine, neural network, and random forest, were used to construct a predictive model and identify the risk factors for SPMs with data from the Surveillance, Epidemiology and End Results. …”
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Spatio-Temporal Segmented Traffic Flow Prediction with ANPRS Data Based on Improved XGBoost by Bo Sun, Tuo Sun, Pengpeng Jiao

“…Traffic prediction is highly significant for intelligent traffic systems and traffic management. eXtreme Gradient Boosting (XGBoost), a scalable tree lifting algorithm, is proposed and improved to predict more high-resolution traffic state by utilizing origin-destination (OD) relationship of segment flow data between upstream and downstream on the highway. …”
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