Health Equity and Its Economic Determinants (HEED): protocol for a pan-European microsimulation model for health impacts of income and social security policies by Alastair H Leyland, Srinivasa Vittal Katikireddi, Anna Pearce, Mikael Rostila, Matteo Richiardi, Daniel Kopasker

“…The Health Equity and Its Economic Determinants project aims to assess the potential impacts of different taxation and social security policies across Europe on population health and health inequalities using a computer-based simulation that provides projections over multiple health domains.Methods and analysis In the first phase, key input parameters for the model will be estimated using estimation techniques that control for the effects of prior exposure on time-varying confounders and mediators (g-methods). …”
Get full text

The Role of Aggregates of Therapeutic Protein Products in Immunogenicity: An Evaluation by Mathematical Modeling by Liusong Yin, Xiaoying Chen, Abhinav Tiwari, Paolo Vicini, Timothy P. Hickling

“…Our analysis indicates that aggregates could contribute to T cell-dependent immune response by inducing high affinity epitopes which may not be present in the nonaggregated TPP and/or by enhancing danger signals to break tolerance. In summary, our computational analysis is suggestive of novel insights into the mechanisms underlying aggregate-induced immunogenicity, which could be used to develop mitigation strategies.…”
Get full text

Improving Wind Speed Forecasting for Urban Air Mobility Using Coupled Simulations by Mounir Chrit, Marwa Majdi

“…Results show that computational fluid dynamics wind simulation driven by the atmospheric simulation significantly improves the simulated wind speed because the accurate modeling of the buildings affects wind patterns. …”
Get full text

Impact of media coverage on the transmission dynamics of TB with vaccines and treatment. by Kumneger Tadesse Mulugeta, Mohammed Yiha Dawed, Shewafera Wondimagegnhu Teklu

“…In the qualitative analysis of the proposed model we proved the existence, uniqueness, positivity, and boundedness of the model solutions, investigated both the disease-free and endemic equilibrium points, computed the basic and effective reproduction numbers using next generation matrix approach, analyzed the stability analysis of the equilibrium points, the backward bifurcation using the Castillo-Chavez and Song theorem and we re-formulated the corresponding optimal control problem and analyzed by applying the Pontryagin's Minimum Principle. …”
Get full text

Structural and Theoretical Studies of 2-amino-3-nitropyridine by N. S. Al-Hokbany, A. A. Dahya, I. Kh. Warad, N. M. Abd El-Salam, S. T. Akriche, M. Rzaiguib, U. Karamac, R. M. Mahfouzc

“…Geometrical parameters (bond lengths, bond angles and torsion angles) were computed and compared with the experimental values obtained using X-ray single crystal measurements of the title compound. …”
Get full text

A Reduced-Order Model of Lithium–Sulfur Battery Discharge by Noushin Haddad, Hosam K. Fathy

“…This increases the computational complexity of model-based estimation and optimal control. …”
Get full text

Intelligent methods for natural data analysis: application to space weather by O.V. Mandrikova

“…But these methods have high computational complexity, failing to provide accurate estimates when the signal-to-noise ratio is low. …”
Get full text

High triglyceride-glucose index in patients with diabetes mellitus is associated with an increased likelihood of nephropathy development: evidence from a meta-analysis among Asian... by Raphael Enrique Tiongco, Neil David Cayanan, Michael John Dominguez, Kyll Geonzon, Julie Ann Mercado, Maria Ruth Pineda-Cortel

“…Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were computed from the included studies. Subgroup analysis was also performed to control for the participant's ethnicity. …”
Get full text

Antenna Optimization Based on Auto-Context Broad Learning System by Wei-Tong Ding, Fei Meng, Yu-Bo Tian, Hui-Ning Yuan

“…Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). …”
Get full text

Spatio-temporal models of synthetic genetic oscillators by Cicely K. Macnamara, Mark A. J. Chaplain

“…If the binding reduces the transcription rate there is a negative feedback leading to oscillatory behaviour in mRNA and protein levels, both spatially (e.g. by observing fluorescently labelled molecules in single cells) and temporally (e.g. by observing protein/mRNA levels over time). Recent computational modelling has demonstrated that spatial movement of the molecules is a vital component of GRNs and may cause the oscillations. …”
Get full text

Ontology-based expansion of virtual gene panels to improve diagnostic efficiency for rare genetic diseases by Jaemoon Shin, Toyofumi Fujiwara, Hirotomo Saitsu, Atsuko Yamaguchi

“…We also performed computational experiments on an evaluation dataset comprising 74 patients to determine the optimal VGP design method. …”
Get full text

Variable Is Better Than Invariable: Sparse VSS-NLMS Algorithms with Application to Adaptive MIMO Channel Estimation by Guan Gui, Zhang-xin Chen, Li Xu, Qun Wan, Jiyan Huang, Fumiyuki Adachi

“…It is well known that step-size is a critical parameter which controls three aspects: algorithm stability, estimation performance, and computational cost. However, traditional methods are vulnerable to cause estimation performance loss because ISS cannot balance the three aspects simultaneously. …”
Get full text

Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

“…Obfuscated malware poses significant risks to various platforms, including computers, mobile devices, and IoT devices, by evading advanced security solutions. …”
Get full text

Capsule Endoscopy for Crohn’s Disease: Current Status of Diagnosis and Management by Dong-Hoon Yang, Bora Keum, Yoon Tae Jeen

“…Video capsule endoscopy (VCE) has a higher diagnostic yield than small bowel barium radiography and computed tomography enterography for the detection of small intestinal involvement of CD. …”
Get full text

Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification by Xinyi Fang, Chak Fong Chong, Kei Long Wong, Marco Simões, Benjamin K. Ng

“…Abstract Data scarcity in medical images makes transfer learning a common approach in computer-aided diagnosis. Some disease classification tasks can rely on large homogeneous public datasets to train the transferred model, while others cannot, i.e., endoscopic laryngeal cancer image identification. …”
Get full text

Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging by Alexander D. Cohen, Stefano Moia, G. Bruce Pike, César Caballero-Gaudes, Yang Wang

“…The variability, reproducibility, and reliability of the metrics were also computed in a multi-session subgroup. Areas of higher coupling were observed in the visual, motor, parietal, and frontal cortices and corresponded to major brain networks. …”
Get full text

Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection by Ângela Semitela, Miguel Pereira, António Completo, Nuno Lau, José P. Santos

“…The results revealed that the two illumination modes employed widened the type of defects that could be identified with this system, while maintaining its lower computational complexity by performing multi-modal fusion at the decision level. …”
Get full text

Research status and development trends of dust concentration monitoring technology by ZHANG Yongqi, WANG Jie, ZHOU Yuhao, YANG Junni, DENG Bin

“…It is proposed that future efforts should be dedicated to integrating dust concentration monitoring technologies with emerging technologies such as machine learning, deep learning, computer vision, and big data analysis and prediction. …”
Get full text

A high-valence bismuth(V) nanoplatform triggers cancer cell death and anti-tumor immune responses with exogenous excitation-free endogenous H2O2- and O2-independent ROS generation by Yizhang Tang, Xujiang Yu, Liangrui He, Meng Tang, Wenji Yue, Ruitong Chen, Jie Zhao, Qi Pan, Wanwan Li

“…NaBiVO3-PEG intravenously administered can efficiently accumulate at the tumor site for further real-time computed tomography monitoring, immunotherapy, or alternative synergistic immune-radiotherapy. …”
Get full text

Evolution of the Web: from Web 1.0 to 4.0 by Asaad Khaleel Ibrahim

“…Big data, augmented reality, machine-to-machine communication (M2M), cloud computing, and artificial intelligence (AI) technologies, as well as smart agents, will be able to integrate in the future years. …”
Get full text