Numerical Analysis of Transcranial Magnetic Stimulation Application in Patients With Orofacial Pain by David Vrba, Lukas Malena, Jakub Albrecht, Jitka Fricova, Martin Anders, Richard Rokyta, Dario Rodrigues, Jan Vrba

“…In this paper, we monitored the accuracy of non-navigated application of repetitive Transcranial Magnetic Stimulation (rTMS) in 10 patients suffering from orofacial pain by using functional magnetic resonance (fMRI), computer modeling and numerical simulation. Through a unique process, each fMRI scan was used to define a Region of Interest (ROI) where the source of the orofacial pain was located, which was to be stimulated using rTMS. …”
Get full text

Mathematical Modeling of Lymph Node Drainage Function by Neural Network by Rufina Tretiakova, Alexey Setukha, Rostislav Savinkov, Dmitry Grebennikov, Gennady Bocharov

“…The use of the presented computational models will allow for a more realistic description and prediction of the immune cell circulation, cytokine distribution and drug pharmacokinetics in humans under various health and disease states as well as assisting in the development of artificial LN-on-a-chip technologies.…”
Get full text

Double-Lumen Endotracheal Tube—Predicting Insertion Depth and Tube Size Based on Patient’s Chest X-ray Image Data and 4 Other Body Parameters by Tsai-Rong Chang, Mei-Kang Yuan, Shao-Fang Pan, Chia-Chun Chuang, Edmund Cheung So

“…In this study, we aimed to predict DLT ‘depths’ and ‘sizes’ applied earlier on a group of patients (<i>n</i> = 231) using a computer modeling approach. First, for these patients we retrospectively determined the correlation coefficient (r) of each of the 17 body parameters against ‘depth’ and ‘size’. …”
Get full text

Predicting human design decisions with deep recurrent neural network combining static and dynamic data by Molla Hafizur Rahman, Shuhan Yuan, Charles Xie, Zhenghui Sha

“…Computational modeling of the human sequential design process and successful prediction of future design decisions are fundamental to design knowledge extraction, transfer, and the development of artificial design agents. …”
Get full text

Modeling displacement flow inside a full-length casing string for well cementing by Hu Dai, Ali Eslami, Jason Schneider, Gefei Liu, Fred Schwering

“…While computer modeling of annular displacement efficiency is widely applied in cementing engineering, modeling the displacement flow inside a casing or drill string for cementing operations has received less attention. …”
Get full text

Perceptual warping exposes categorical representations for speech in human brainstem responses by Jared A. Carter, Gavin M. Bidelman

“…These findings were not observed in the stimulus acoustics nor model FFR responses generated via a computational model of cochlear and auditory nerve transduction, confirming a central origin to the effects. …”
Get full text

Cerebellum Involvement in Dystonia During Associative Motor Learning: Insights From a Data-Driven Spiking Network Model by Alice Geminiani, Aurimas Mockevičius, Egidio D’Angelo, Egidio D’Angelo, Claudia Casellato

“…Here, we simulated the cerebellar input-output relationship with high-resolution computational modeling. We used a data-driven cerebellar Spiking Neural Network and simulated a cerebellum-driven associative learning task, Eye-Blink Classical Conditioning (EBCC), which is characteristically altered in relation to cerebellar lesions in several pathologies. …”
Get full text

Multi-scale in silico and ex silico mechanics of 3D printed cochlear implants for local drug delivery by A. Isaakidou, M. Ganjian, R. van Hoften, M. C. Saldivar, M. A. Leeflang, A. Groetsch, A. Groetsch, M. Wątroba, J. Schwiedrzik, M. J. Mirzaali, I. Apachitei, L. E. Fratila-Apachitei, A. A. Zadpoor

“…We used in silico computational models and ex silico experiments to study the mechanics of our newly designed implants when subjected to torsion mimicking the foreseeable implantation procedure. …”
Get full text

Computational Analysis of Water-Submerged Jet Erosion by Rached Ben-Mansour, Hassan M. Badr, Abdulrazaq A. Araoye, Ihsan Ul Haq Toor

“…The Finnie erosion model was implemented in ANSYS-Fluent 19.2 and used for erosion prediction. The computational model was validated against experimental data and the distributions of the erosion depth as well as the locations of the of maximum and minimum erosion points are well matched. …”
Get full text

Pressurized metered-dose inhalers using next-generation propellant HFO-1234ze(E) deposit negligible amounts of trifluoracetic acid in the environment by Shivendra G. Tewari, John P. Bell, Nigel Budgen, Stefan Platz, Megan Gibbs, Peter Newham, Holly Kimko

“…We quantified yield of TFA from HFO-1234ze(E) using a computational model under Europe-relevant atmospheric conditions. …”
Get full text

Destruction of Fibroadenomas Using Photothermal Heating of Fe₃O₄ Nanoparticles: Experiments and Models by Ivan B. Yeboah, Selassie Wonder King Hatekah, Yvonne Kafui Konku-Asase, Abu Yaya, Kwabena Kan-Dapaah

“…On the basis of the optical and structural results, we obtained the optical absorption coefficient of the Fe<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>3</mn></msub></semantics></math></inline-formula>O<inline-formula><math display="inline"><semantics><msub><mrow></mrow><mn>4</mn></msub></semantics></math></inline-formula> NPs via predictions based on the Mie scattering theory and integrated it into a computational model to predict in-vivo thermal damage profiles of NP-embedded fibroadenomas located within a multi-tissue breast model and irradiated with near-infrared 810 nm laser. …”
Get full text

Unified framework based parallel FEM code for simulating marine seismoacoustic scattering by Shen Jirong, Chen Shaolin, Chen Shaolin, Zhang Jiao, Cai Puxin

“…The method and technologies used in this code includes: 1) Unified framework for acoustic-solid-poroelastic interaction analysis, in which seawater and dry bedrock are considered as generalized saturated porous media with porosity equals to one and zero, respectively, and the coupling between seawater, saturated seabed and dry bedrock can be analyzed in the unified framework of generalized saturated porous media and avoid interaction between solvers of different differential equation; 2) Element-by-element strategy and voxel finite-element method (VFEM), with these strategies, it only needs to calculate several classes of element matrix and avoid assembling and storing the global system matrices, which significantly reduces the amount of memory required; 3) Domain-partitioning procedure and parallel computation technology, it performs 3D and 2D model partitioning for the 3D and 2D codes respectively, sets up the velocity structure model for the partitioned domain on each CPU or CPU core, and calculates the seismic wave propagation in the domain using Message Passing Interface data communication at each time step; 4) Local transmitting boundary condition, we adopt multi-transmitting formula, which is independent of specific wave equations, to minimize reflections from the boundaries of the computational model. A horizontal layered model with the plane P-wave incident vertically from bottom is used to demonstrate the computational efficiency and accuracy of our code. …”
Get full text

Learning in Transcriptional Network Models: Computational Discovery of Pathway-Level Memory and Effective Interventions by Surama Biswas, Wesley Clawson, Michael Levin

“…Rational control of dynamic pathway function using stimuli derived from computational models opens the door to empirical studies of proto-cognitive capacities in unconventional embodiments and suggests numerous possible applications in biomedicine, where behavior shaping of pathway responses stand as a potential alternative to gene therapy.…”
Get full text

SWAT model calibration for hydrological modeling using concurrent methods, a case of the Nile Nyabarongo River basin in Rwanda by Aboubakar Gasirabo, Aboubakar Gasirabo, Aboubakar Gasirabo, Chen Xi, Chen Xi, Alishir Kurban, Alishir Kurban, Tie Liu, Tie Liu, Hamad R. Baligira, Hamad R. Baligira, Jeanine Umuhoza, Jeanine Umuhoza, Jeanine Umuhoza, Adeline Umugwaneza, Adeline Umugwaneza, Adeline Umugwaneza, Umwali Dufatanye Edovia, Umwali Dufatanye Edovia, Umwali Dufatanye Edovia

“…The outcomes point out that SUFI-2 outperformed the other algorithms for SWAT calibration, requiring fewer computing model runs and producing the best results. ParaSol established residing the least effective algorithm. …”
Get full text

Deep sampling of gRNA in the human genome and deep-learning-informed prediction of gRNA activities by Heng Zhang, Jianfeng Yan, Zhike Lu, Yangfan Zhou, Qingfeng Zhang, Tingting Cui, Yini Li, Hui Chen, Lijia Ma

“…Abstract Life science studies involving clustered regularly interspaced short palindromic repeat (CRISPR) editing generally apply the best-performing guide RNA (gRNA) for a gene of interest. Computational models are combined with massive experimental quantification on synthetic gRNA-target libraries to accurately predict gRNA activity and mutational patterns. …”
Get full text

Multi-dimensional hydrological–hydraulic model with variational data assimilation for river networks and floodplains by L. Pujol, P.-A. Garambois, J. Monnier, J. Monnier

“…The forward-inverse multi-D computational model is successfully validated on virtual and real cases of increasing complexity, including using the second-order scheme version. …”
Get full text

Encapsulation and Delivery of Mitoxantrone Using Zirconium-Based Metal–Organic Frameworks (MOFs) and Their Cytotoxic Potential in Breast Cancer Cells by Mitali Singhal, Kirsten Riches-Suman, Klaus Pors, Matthew A. Addicoat, Amalia Ruiz, Sanjit Nayak, Jacobo Elies

“…The interaction between MTX and the MOFs was also proposed based on computational modelling, suggesting a stronger interaction of UiO-66NH2 and MTX, and an optimised interaction of MTX in the tetrahedral and octahedral pores of the MOFs. …”
Get full text

Current Knowledge and Challenges of Particle Size Measurements of Mainstream E-Cigarette Aerosols and Their Implication on Respiratory Dosimetry by Huanhuan Jiang, Xiang Gao, Yong Gao, Yatao Liu

“…Lastly, while computational models of particle deposition have been adopted to profile the deposition of e-cigarette mainstream emissions, existing models have limited applicability and generality when dealing with e-cigarette aerosols that have high volatility and hygroscopicity, which can dynamically evaporate or grow during the transport process. …”
Get full text

Entropy–Based Diversification Approach for Bio–Computing Methods by Rodrigo Olivares, Ricardo Soto, Broderick Crawford, Fabián Riquelme, Roberto Munoz, Víctor Ríos, Rodrigo Cabrera, Carlos Castro

“…This area is mainly devoted to designing computational models based on natural phenomena to address complex problems. …”
Get full text

Reliability-based structural assessment of historical masonry arch bridges: The case study of Cernadela bridge by O. Bouzas, B. Conde, J.C. Matos, M. Solla, M. Cabaleiro

“…Finally, the measured inner geometry of the arches was introduced in the computational model through Bayesian inference procedures. …”
Get full text