A High Efficiency Discontinuous Galerkin Method for 3D Ground-Penetrating Radar Simulation by Shuyang Xue, Changchun Yin, Jing Li, Jiao Zhu, Wuyang Liu

“…Numerous numerical simulation algorithms have been developed to improve the computational efficiency of GPR simulations, enabling the modeling of complex structures. …”
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Impact of Randomized Soil Properties and Rock Motion Intensities on Ground Motion by Ayele Chala, Richard Ray

“…As few as twenty Vs profile realizations are sufficient to compute reliable response parameters. Both rock motion intensity and standard deviation of Vs variability cause significant variation in computed surface parameters. …”
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Spontaneous Retrobulbar Haematoma by Mehmet Deveer, Nesat Cullu, Halil Beydilli, Hamdi Sozen, Onder Yeniceri, Selcuk Parlak

“…Ophthalmological examination revealed mild Relative Afferent Pupillary Defect in left eye. Computed Tomography revealed left hyperdense retrobulbar mass and displaced optic nerve. …”
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Nonlinear dynamic evolution of a novel normalized time-fractional Burgers equation by Junseok Kim

“…In this paper, a novel normalized time-fractional Burgers equation is proposed to enable a fair computational comparison study of its nonlinear dynamic evolution for various fractional order values. …”
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Diagnosis of planktonic trophic network dynamics with sharp qualitative changes by Gaucherel, Cedric, Fayolle, Stolian, Savelli, Raphael, Philippine, Olivier, Pommereau, Franck, Dupuy, Christine

“…Applying discrete-event models from theoretical computer science, a mechanistic and qualitative model was developed that allowed computation of the exhaustive dynamics of a given trophic network and its environment. …”
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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…We adopted the Nesterov's accelerated gradient algorithm to accelerate the computing process. We also analyzed the computing complexity of our frameworks to demonstrate their efficiency. …”
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Dynamic multi-keyword searchable encryption scheme by Chenghao YUAN, Yong LI, Shuang REN

“…Users of cloud storage often outsource their data to cloud servers to save local storage resources.However, cloud storage data is out of the user’s physical control, which may lead to malicious theft or disclosure of private data on cloud.At present, dynamic searchable encryption schemes are mostly based on symmetric searchable encryption, which need to establish a secure key sharing channel in advance, and cannot be directly applied to data sharing in cloud storage scenarios.For the secure sharing scenario of multi-party data in cloud storage, a dynamic multi-keyword searchable encryption scheme was proposed.The forward index was constructed by a cuckoo filter to enable data owners to perform documents and index dynamic updates.The conjunctive multi-keywords search was supported by combining bilinear pairing with Lagrangian interpolation polynomials.To reduce the computational overhead in the ciphertext retrieval phase, a combination of inverted index and forward index was constructed to improve the retrieval efficiency of cloud server.This scheme is provably secure with the indistinguishability in adaptively chosen keyword attack under decision linear Diffie-Hellman problem.Simulation experiments were conducted to analyze the execution efficiency of the scheme for keyword search and index update in different datasets.The results show that the scheme effectively avoids the linear correlation between the retrieval time and the number of ciphertexts, and reduces the computational overhead in the update operation with a large amount of data.…”
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Deep reinforcement learning to enhance the energy-efficient performance of UAV-enabled F-RAN by Haibo MEI, Kun YANG, Xinyu FAN

“…Fog radio access network (F-RAN) is suitable for Internet of things applications of national important industries, such as pipeline network monitoring in wide area.However, the performance of the F-RAN based on the territorial fog access point will be affected greatly by the complicated territorial environment.This causes F-RAN not able to provide fog access service in a timely and effectively manner.To this problem, the research was proposed to utilize low altitude UAV as the fog access point to realize air ground edge communication and fog computing, which has attracted enormous research interests.How to use deep reinforcement learning (DRL) to improve the energy efficiency of UAV fog access point and extend the mission time of UAV were discussed.Deep reinforcement learning can ensure the UAV fog access point to adjust the configuration strategy timely of air ground communication and computing, including resource optimization, dynamic task offloading and caching.DRL can also optimize the UAV trajectory in 3-D space, and improve the overall performance of UAV enabled fog access network.The innovation of the research lies in the comprehensive discussion of the main optimization problems to be solved in the UAV-enabled F-RAN using DRL.The technical details were also summarized to solve the related optimization problems.Finally, the technical challenges and future research directions of the application of DRL in the UAV-enabled F-RAN were discussed.…”
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A chaotic bursting-spiking transition in a pancreatic beta-cells system: observation of an interior glucose-induced crisis by Jorge Duarte, Cristina Januário, Nuno Martins

“…The analysis of the chaotic interior crisis is complemented by means of topological invariants with the computation of the topological entropy and the maximum Lyapunov exponent. …”
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Evaluation of polyphenol and antioxidant properties of Blumea balsamifera extract as potential therapeutic for breast cancer by Kamila Fairuz Sarah, Annisa Yuslinda, Rosyadah Nuraini, Hermanto Feri Eko, Widyananda Muhammad Hermawan, Dwijayanti Dinia Rizqi, Widodo Nashi

“…The total phenolic and flavonoid content was determined based on quantified colourimetry analysis followed by DPPH assay to evaluate antioxidant activity and phytochemicals screening in the extract, which was characterised by LC-HRMS analysis. Furthermore, computational methods are used to predict the pharmacological properties of compounds in the extract, particularly against breast cancer. …”
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ICT and agriculture in India by Balasubramanian Dhandapani, Rico Lie, Pierre Grard

“…The relevance of new computing technologies and their effective implementation in developing countries is widely debated, both at policy and community level. …”
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Numerical analysis of evaporation reduction in floating photovoltaic power plants: influence of design parameters by Berlioux Baptiste, Amiot Baptiste, Ferrand Martin, Le Berre Rémi, Rhazi Oume-Lgheit, Vidal Javier, Pabiou Hervé, Knikker Ronnie

“…This study was performed using Computational Fluid Dynamics (CFD) of the surrounding atmosphere, with the impact of the FPV plant modelled using specific boundary conditions to reduce computational costs. …”
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Optimizing Hybrid Electric Vehicle Performance: A Detailed Overview of Energy Management Strategies by Álvaro Gómez-Barroso, Iban Vicente Makazaga, Ekaitz Zulueta

“…A thorough and comprehensive overview of rule-based, optimization-based, and learning-based energy management strategies is presented, highlighting their main attributes and providing a comparative analysis in terms of fuel economy improvements, real-time implementation feasibility, and computational complexity, while simultaneously identifying and uncovering areas requiring further research in the field. …”
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Thermal-Mechanical Optimization of Folded Core Sandwich Panels for Thermal Protection Systems of Space Vehicles by Chen Zhou, Zhijin Wang, Paul M. Weaver

“…The combined optimization strategy evidently improves the computational efficiency of the design process showing it can be used for initial design of folded core ITPS.…”
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DSP: A tool for probabilistic sex diagnosis using worldwide variability in hip-bone measurements by Pascal Murail, Jaroslav Brůžek, Francis Houët, Eugénia Cunha

“…Its accuracy is close to 100%. The DSP computing program is available at the following web link: http://www.pacea.u-bordeaux1.fr/publication/dspv1.html…”
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AIS-Based Vessel Trajectory Compression: A Systematic Review and Software Development by Ryan Wen Liu, Shiqi Zhou, Shangkun Yin, Yaqing Shu, Maohan Liang

“…The massive AIS data lead to high storage requirements and computing costs, as well as low data transmission efficiency. …”
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Tortuous Common Carotid Artery: A Report of Four Cases Observed in Cadaveric Dissections by Joe Iwanaga, Koichi Watanabe, Saga Tsuyoshi, Yoko Tabira, Koh-ichi Yamaki

“…Case 4 was also examined using computed tomography to evaluate the arteriosclerosis. …”
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A Comprehensive Methodological Review of Major Developments in Bioinformatics Pipelines for Transcriptomic Data Analysis by Awais ALi, Syed Luqman Ali, Abdelkarem Omneya

“…Conclusion: We cover basic concepts, RNA-Seq analysis steps, computational workflows, and potential difficulties.…”
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Exploring Multi-Scale Thermal Behaviour in Pin-on-Disc Systems for Organic, Metallic, Ceramic, and Polymer Composites by Hemant Nagoriya, Gaurav Arora

“…The multi-scale study on different materials focusing on the use of computational results for replacing the traditional brake pad material with advanced composites is the novelty of the study.…”
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An Explainable Stacked Ensemble Model for Static Route-Free Estimation of Time of Arrival by Sören Schleibaum, Jörg P. Müller, Monika Sester

“…To solve the underlying hard computational problem with high precision, machine learning (ML) models for ETA are the state of the art. …”
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