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Computation, Volume 11, Issue 12

December 2023 - 21 articles

Cover Story: This study explored the effects of minimal, maximal, and conventional running footwear on tibial strains and stress fracture probability. Fifteen males ran in each condition, with kinematic data collected via motion-capture and ground reaction forces measured using a force plate during overground running at 4.0 m/s. Tibial strains were assessed using finite element modeling, and stress fracture probability was calculated over 100 days using probabilistic modeling. The 90th percentile tibial strains were significantly higher in minimal (4681.13 με) and conventional (4498.84 με) footwear compared to maximal (4069.65 με). Stress fracture probability was significantly greater in minimal footwear (0.22) compared to maximal (0.15). Findings suggest that, unlike minimal footwear, maximal running shoes may reduce the risk of tibial stress fractures in runners. View this paper
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Articles (21)

  • Article
  • Open Access
3 Citations
4,200 Views
28 Pages

16 December 2023

In this study, we applied a computer-based protocol to identify novel antioxidant agents that can reduce oxidative stress (OxS), which is one of the main hallmarks of several disorders, including cancer, cardiovascular disease, and neurodegenerative...

  • Article
  • Open Access
2,013 Views
13 Pages

14 December 2023

Currently, the sampling problem has gained wide popularity in the field of autonomous mobile agent control due to the wide range of practical and fundamental problems described with its framework. This paper considers a combined decentralized control...

  • Article
  • Open Access
5 Citations
3,392 Views
37 Pages

11 December 2023

This study introduces a mathematical model for electrolytic chemical reactions, employing an energy variation approach grounded in classical thermodynamics. Our model combines electrostatics and chemical reactions within well-defined energetic and di...

  • Article
  • Open Access
2 Citations
2,945 Views
20 Pages

Deep Reinforcement Learning for Efficient Digital Pap Smear Analysis

  • Carlos Macancela,
  • Manuel Eugenio Morocho-Cayamcela and
  • Oscar Chang

10 December 2023

In August 2020, the World Health Assembly launched a global initiative to eliminate cervical cancer by 2030, setting three primary targets. One key goal is to achieve a 70% screening coverage rate for cervical cancer, primarily relying on the precise...

  • Article
  • Open Access
2,552 Views
15 Pages

10 December 2023

The paper deals with the exploration of subsequences of polygonal numbers of different sides derived through step-by-step elimination of terms of the original sequences. Eliminations are based on special rules similarly to how the classic sieve of Er...

  • Article
  • Open Access
1 Citations
2,823 Views
33 Pages

Shear-Enhanced Compaction Analysis of the Vaca Muerta Formation

  • José G. Hasbani,
  • Evan M. C. Kias,
  • Roberto Suarez-Rivera and
  • Victor M. Calo

10 December 2023

The laboratory measurements conducted on Vaca Muerta formation samples demonstrate stress-dependent elastic behavior and compaction under representative in situ conditions. The experimental results reveal that the analyzed samples display elastoplast...

  • Article
  • Open Access
5 Citations
2,421 Views
25 Pages

10 December 2023

This paper proposes a new approach to predicting the distribution of harmful substances in the atmosphere based on the combined use of the parameter estimation technique and machine learning algorithms. The essence of the proposed approach is based o...

  • Article
  • Open Access
2 Citations
5,405 Views
18 Pages

6 December 2023

This study examined the effects of minimal, maximal and conventional running footwear on tibial strains and stress fracture probability using finite element and probabilistic analyses. The current investigation examined fifteen males running in three...

  • Article
  • Open Access
5 Citations
4,919 Views
14 Pages

5 December 2023

This research paper presents a deep-learning approach to early detection of skin cancer using image augmentation techniques. We introduce a two-stage image augmentation process utilizing geometric augmentation and a generative adversarial network (GA...

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Computation - ISSN 2079-3197Creative Common CC BY license