From Bench to Brain: A Metadata-driven Approach to Research Data Management in a Collaborative Neuroscientific Research Center by Marlene Pacharra, Tobias Otto, Nina Olivia Caroline Winter

“…The practice paper outlines the approach of the interdisciplinary Collaborative Research Center (CRC) 1280 ‘Extinction Learning’ with 81 researchers from biology, psychology, medicine, and computational neuroscience across four different institutions. …”
Get full text

Performance Analysis of Grid Topologies and RANS Turbulence Models in Predicting Aerodynamic Drag Coefficient at Zero-yaw for an Artillery Projectile by A. Ferfouri, D. D. Jerković, N. Hristov, A. V. Kari, T. Allouche

“…The present paper evaluates the performance of grid topologies and RANS turbulence models in predicting the aerodynamic drag coefficient of a 155mm artillery projectile by conducting steady-state computational research. The research is performed for Mach numbers from 0.5 to 3.0, assuming axisymmetric flow. …”
Get full text

Performance enhancement of gas cyclone with streamlined ports using CFD simulations by Moustafa M. Soliman, Yasser El-shaer, Khairy Elsayed, Mohamed A. Ibrahim

“…The impact of the cyclone vortex finder (VF) diameter, the VF inlet bell mouth shape, and the VF inlet curvature on both flow field distribution and performance has been analyzed through computational analysis employing the Reynolds stress turbulence model (RSM) for twelve cyclone separators. …”
Get full text

Mimicking Axon Growth and Pruning by Photocatalytic Growth and Chemical Dissolution of Gold on Titanium Dioxide Patterns by Fatemeh Abshari, Moritz Paulsen, Salih Veziroglu, Alexander Vahl, Martina Gerken

“…We propose the photocatalytic growth and chemical dissolution of gold lines as a building block for neuromorphic computing mimicking axon growth and pruning. We predefine photocatalytic growth areas on a surface by structuring titanium dioxide (TiO₂) patterns. …”
Get full text

Discovering natural products as potential inhibitors of SARS-CoV-2 spike proteins by Muhammad Alqaaf, Ahmad Kamal Nasution, Mohammad Bozlul Karim, Mahfujul Islam Rumman, Muhammad Hendrick Sedayu, Retno Supriyanti, Naoaki Ono, Md. Altaf-Ul-Amin, Shigehiko Kanaya

“…Fourteen SMs were predicted through computational analysis as potential candidates for inhibiting the three major types of S proteins. …”
Get full text

New Detailed Modeling of GICs in the Spanish Power Transmission Grid by J. M. Torta, S. Marsal, J. Ledo, P. Queralt, V. Canillas‐Pérez, P. Piña‐Varas, J. J. Curto, A. Marcuello, A. Martí

“…In this paper, we summarize our current achievements focused on mainland Spain, concentrating on the improvements reached after going from a homogeneous Earth's resistivity to an alternative 3D electrical resistivity distribution approach to geoelectric field computation, which is still in progress because new empirical impedance tensors are needed, mainly at sites in the west of the Iberian Peninsula. …”
Get full text

Optimization of Spiral MRI Using a Perceptual Difference Model by Donglai Huo, Kyle A. Salem, Yuhao Jiang, David L. Wilson

“…We systematically evaluated a variety of MR spiral imaging acquisition and reconstruction schemes using a computational perceptual difference model (PDM) that models the ability of humans to perceive a visual difference between a degraded “fast” MRI image with subsampling of k-space and a “gold standard” image mimicking full acquisition. …”
Get full text

Control Characteristics Analysis of Multi-Section Morphing Wing Based on Centroid Self-Trimming by Hang Ma, Zhongbin Zhou, Dingshan Zhang

“…This research selects stable roll and pitching motion to investigate the feasibility and effectiveness of using the asymmetric change of sweep angle as the control input and using the reverse collaborative morphing of the inner and outer wing sections to achieve centroid self-trimming. The computational analysis results show: 1) The asymmetry morphing of the sweep angle can significantly improve the maneuvering control performance of the UAV with a large lift coefficient. 2) The overall control efficiency of the UAV can be effectively improved by increasing the deflection rate of the sweep angle and the system parameters of the main controller and supervisory controller. 3) Increasing the feedback value of the integral term of the PI compensator in the inner loop can reduce the oscillation degree of the inner loop system in tracking the target signal when the Mach number is large, and improve the tracking accuracy of the inner loop system. 4) Increasing the wingspan ratio of the inner wing section can reduce the elevator deflection angle required to track the target pitch signal during the morphing process. …”
Get full text

Yindanxinnaotong, a Chinese compound medicine, synergistically attenuatesatherosclerosis progress by Long Cheng, Guo-feng Pan, Xiao-dong Zhang, Jian-lu Wang, Wan-dan Wang, Jian-yong Zhang, Hui Wang, Ri-xin Liang, Xiao-bo Sun

“…We initiallyperformed a computational prediction based on a network pharmacology simulation,which clued YD exerted synergistically anti-atherosclerosis properties by vascularendothelium protection, lipid-lowering, anti-inflammation and anti-oxidation. …”
Get full text

Natural Disaster Diversity Assessment of Bitlis Province by Rezzan Ekinci, Aydın Büyüksaraç, Yunus Levent Ekinci, Ercan Işık

“…In this study, the method which is frequently used in occupational health safety studies was applied to risk analyses of natural disasters for the first time and therefore a new scale compatible with the aim of the study was determined and computations were made accordingly. It was decided that landslide, rockfall and avalanche events threaten the daily life in the districts which have sloped topographies and generally get heavy rainfall. …”
Get full text

Exposure, sensitivity, or adaptive capacity? Reviewing assessments that use only two of three elements of climate change vulnerability by Amanda A. Hyman, Erin R. Crone, Abigail Benson, Jason Dunham, Abigail J. Lynch, Laura Thompson, Meryl C. Mims

“…Finally, limitations in data availability and computational resources were common rationales for using a two‐element approach. …”
Get full text

Food Insecurity and Not Dietary Diversity Is a Predictor of Nutrition Status in Children within Semiarid Agro-Ecological Zones in Eastern Kenya by Zipporah N. Bukania, Moses Mwangi, Robert M. Karanja, Richard Mutisya, Yeri Kombe, Lydia U. Kaduka, Timothy Johns

“…Weight and height, or length in children, were used for computation of nutritional status. Findings. No significant difference (P>0.05) was observed in food security and dietary diversity score (DDS) between LM4 and LM5. …”
Get full text

The use of graphics accelerators to detect functional signals in the regulatory regions of prokaryotic genes by O. V. Vishnevsky, A. V. Bocharnikov, A. A. Romanenko

“…The development of high-performance computing systems based on the use of graphics cards has made it possible to use the exact exhaustive methods to identify significant motifs. …”
Get full text

Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models by Fatima Alwahedi, Alyazia Aldhaheri, Mohamed Amine Ferrag, Ammar Battah, Norbert Tihanyi

“…These concerns stem from various factors, including the heterogeneity of IoT devices, widespread deployment, and inherent computational limitations. Integrating emerging technologies to address these concerns becomes imperative as the dynamic IoT landscape evolves. …”
Get full text

Uncovering functional lncRNAs by scRNA-seq with ELATUS by Enrique Goñi, Aina Maria Mas, Jovanna Gonzalez, Amaya Abad, Marta Santisteban, Puri Fortes, Maite Huarte, Mikel Hernaez

“…Here, we systematically benchmark different preprocessing methods and develop a computational framework, named ELATUS, based on the combination of the pseudoaligner Kallisto with selective functional filtering. …”
Get full text

Parameter Distributions for the Drag‐Based Modeling of CME Propagation by Gianluca Napoletano, Raffaello Foldes, Enrico Camporeale, Giancarlo deGasperis, Luca Giovannelli, Evangelos Paouris, Ermanno Pietropaolo, Jannis Teunissen, Ajay Kumar Tiwari, Dario Del Moro

“…We here focus on the ensemble modeling of Coronal Mass Ejections (CME) arrival times and arrival velocities using a drag‐based model, which is well‐suited for this purpose due to its simplicity and low computational cost. Although ensemble techniques have previously been applied to the drag‐based model, it is still not clear how to best determine distributions for its input parameters, namely the drag parameter and the solar wind speed. …”
Get full text

Dataguzzler-Python and SpatialNDE2: Crucial Software Infrastructure for Reconfigurable NDE Data Acquisition With Spatial Context by Tyler J. Lesthaeghe, Stephen D. Holland

“…The tools make up a framework that provides the following: multiplexed automatic and manual control of instrumentation, a versioned database to store the acquired data, parallel acquisition and live high performance/GPU computation, the ability to acquire and store data in geometric context, and the ability to visualize and interact with the acquired data. …”
Get full text

Neural Mass Modeling in the Cortical Motor Area and the Mechanism of Alpha Rhythm Changes by Yuanyuan Zhang, Zhaoying Li, Hang Xu, Ziang Song, Ping Xie, Penghu Wei, Guoguang Zhao

“…Neural mass modeling provides a computational neuroscience approach to understanding the dynamic changes in alpha rhythms in the motor cortex under different grip force levels.…”
Get full text

Predictive Analysis of Structural Damage in Submerged Structures: A Case Study Approach Using Machine Learning by Alexandre Brás dos Santos, Hugo Mesquita Vasconcelos, Tiago M. R. M. Domingues, Pedro J. S. C. P. Sousa, Susana Dias, Rogério F. F. Lopes, Marco L. P. Parente, Mário Tomé, Adélio M. S. Cavadas, Pedro M. G. P. Moreira

“…Subsequent validation involved Fluid–Structure Interaction (FSI) simulations, using a 2D Computational Fluid Dynamics (CFD)-based numerical wave tank of the entire ocean depth to access velocity profiles, and a restricted 3D CFD model incorporating the lander structure. …”
Get full text

Investigation of Current, Temperature, and Concentration Distribution of a Solid Oxide Fuel Cell with Mathematical Modelling Approach by Aligholi Niaie, Asghar Moradi, Soudabeh Bahrami Gharamaleki, Mohammad Ahangari, S. Mehdi Rezvan, Nagihan Delibaş

“…However, it is costly and time-consuming to test all the important characteristics of a solid oxide fuel cell by experimental methods. Computational methods can contribute to evaluate the influence of each parameter on the performance of the fuel cell. …”
Get full text