Single-Round Patterned DNA Library Microarray Aptamer Lead Identification by Jennifer A. Martin, Peter A. Mirau, Yaroslav Chushak, Jorge L. Chávez, Rajesh R. Naik, Joshua A. Hagen, Nancy Kelley-Loughnane

“…A method for identifying an aptamer in a single round was developed using custom DNA microarrays containing computationally derived patterned libraries incorporating no information on the sequences of previously reported thrombin binding aptamers. …”
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Memristor-based feature learning for pattern classification by Tuo Shi, Lili Gao, Yang Tian, Shuangzhu Tang, Jinchang Liu, Yiqi Li, Ruixi Zhou, Shiyu Cui, Hui Zhang, Yu Li, Zuheng Wu, Xumeng Zhang, Taihao Li, Xiaobing Yan, Qi Liu

“…The model parameters and computational operations of the kinetics-based network are reduced by up to 2 and 4 orders of magnitude, respectively, compared with deep models. …”
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SPECT and PET Imaging of Meningiomas by Varvara Valotassiou, Anastasia Leondi, George Angelidis, Dimitrios Psimadas, Panagiotis Georgoulias

“…Molecular Nuclear Medicine Imaging with Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) could provide complementary information to CT and MRI. …”
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Application of Linear Viscoelastic Properties in Semianalytical Finite Element Method with Recursive Time Integration to Analyze Asphalt Pavement Structure by Pengfei Liu, Qinyan Xing, Dawei Wang, Markus Oeser

“…Traditionally, asphalt pavements are considered as linear elastic materials in finite element (FE) method to save computational time for engineering design. However, asphalt mixture exhibits linear viscoelasticity at small strain and low temperature. …”
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A Cumulative Rainfall Function for Subhourly Design Storm in Mediterranean Urban Areas by Marco Carbone, Michele Turco, Giuseppe Brunetti, Patrizia Piro

“…Finally, considering the similarity between the proposed function and the Gumbel function, the two parameters have been computed with the method of moments; in this case, the correlation values were lower than those computed with nonlinear least squares optimization but sufficiently accurate for designing purposes.…”
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A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network by Liqian Gao, Lishen Wei, Shichang Cui, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen

“…In the end, it can be concluded that the feasibility and high-quality of the solution can be guaranteed while reducing most of the computation time.…”
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Visualisation of the numerical solution of partial differential equation systems in three space dimensions and its importance for mathematical models in biology by Heiko Enderling, Alexander R.A. Anderson, Mark A.J. Chaplain, Glenn W.A. Rowe

“…Numerical analysis and computational simulation of partial differentialequation models in mathematical biology are now an integral partof the research in this field. …”
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Improved Switching Strategy for Selective Harmonic Elimination in DC-AC Signal Generation via Pulse-Width Modulation by Francisco Palacios-Quiñonero, Jesus Vicente-Rodrigo, Maria A. Molina-Hernández, Hamid Reza Karimi

“…For different AC amplitudes, the switching instants of the PWM signals can be efficiently computed by using appropriate systems of explicit linear equations. …”
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Support Vector Machine Based on Adaptive Acceleration Particle Swarm Optimization by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

“…However, the utilization of random values in the velocity calculation decreases the performance of these techniques; that is, during the velocity computation, we normally use random values for the acceleration coefficients and this creates randomness in the solution. …”
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Preface by Susanne Ditlevsen, Petr Lansky

“…As in theprevious workshops, this was a single track multidisciplinary eventbringing together experimental and computational neuroscientists withample time for informal discussions in a convivial atmosphere. …”
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Contact Dynamic Behaviors of Magnetic Hydrogel Soft Robots by Yunian Shen, Yiming Zou

“…However, their contact dynamic behaviors are complex, considering stick–slip motion at the contact interface, and lack accurate computational models to analyze them. This paper improves the numerical computational method for hydrogel materials with magneto-mechanical coupling effect, analyses the inchworm-like contact motion of the biomimetic bipedal magnetic hydrogel soft robot, and designs and optimizes the robot’s structure. …”
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Perspectives of Experts in the Selection of Contents for a Course of Differential Equations in Engineering by José Luis Díaz Palencia

“…The study also states on the growing importance of computational methods and software in engineering education, advocating for an integrated approach aligning theoretical concepts with real-world applications. …”
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Correlation functions in scalar field theory at large charge by G. Arias-Tamargo, D. Rodriguez-Gomez, J. G. Russo

“…Abstract We compute general higher-point functions in the sector of large charge operators ϕn, ϕ ¯ n $$ {\overline{\phi}}^n $$ at large charge in O(2) ϕ ¯ ϕ 2 $$ {\left(\overline{\phi}\phi \right)}^2 $$ theory. …”
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A New Sparse Gauss-Hermite Cubature Rule Based on Relative-Weight-Ratios for Bearing-Ranging Target Tracking by Lijun Peng, Xiaojun Duan, Jubo Zhu

“…Simulation results show that, compared with Kalman filter with those types of full tensor-product based Gauss-Hermite rules, our new sparse Gauss-Hermite cubature rule based Kalman filter can lead to a substantially reduced number of cubature points, more stable computation capability, and maintaining the accuracy of integration at the same time.…”
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Engine on/off management with consideration of thermal dynamics for HEVs by Wei Wang, Tielong Shen

“…Existing solutions mainly focus on the non-linear optimization or complex learning-based methods, which unavoidably lead to high computation burden and hard to be online implemented. …”
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Neural-field-based image reconstruction for bioluminescence tomography by Xuanxuan Zhang, Xu Cao, Jiulou Zhang, Lin Zhang, Guanglei Zhang

“…Nevertheless, nearly every existing DL-based method utilizes an explicit neural representation for the reconstruction problem, which either consumes much memory space or requires various complicated computations. In this paper, we present a neural field (NF)-based image reconstruction scheme for BLT that uses an implicit neural representation. …”
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Evaluation of the binding affinity and antioxidant activity of phlorizin to pepsin and trypsin by Jing Zhang, Di Wu, Lan Tang, Xia Hu, Zhen Zeng, Wen Wu, Fang Geng, Hui Li

“…In this paper, the interaction mechanism of PHL with pepsin and trypsin was comparatively evaluated by computer simulation, fluorescence spectra, circular dichroism (CD), and fourier transform infrared (FT-IR) spectra at a molecular level. …”
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A small underwater object detection model with enhanced feature extraction and fusion by Tao Li, Yijin Gang, Sumin Li, Yizi Shang

“…However, the complexity of the underwater environment, limited information available from small objects, and constrained computational resources make small object detection challenging. …”
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Imaging Findings of Bisphosphonate-Related Osteonecrosis of the Jaws: A Critical Review of the Quantitative Studies by André Ferreira Leite, Fernanda dos Santos Ogata, Nilce Santos de Melo, Paulo Tadeu de Souza Figueiredo

“…Initially, the search for articles was based on the following four types of imaging modalities for evaluating BRONJ: computed tomography, plain film radiographs, magnetic resonance imaging, and nuclear bone scanning. …”
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Eyes Open on Sleep and Wake: In Vivo to In Silico Neural Networks by Amaury Vanvinckenroye, Gilles Vandewalle, Christophe Phillips, Sarah L. Chellappa

“…In a broader perspective, noninvasive computational approaches, such as DCM, may help to puzzle out the spatial and temporal dynamics of human brain function at different behavioural states.…”
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