Article
Materials Science, Multidisciplinary
Showkat Ahmad Lone, Tabassum Naz Sindhu, Anum Shafiq, Fahd Jarad
Summary: This study proposes a new statistical model using a new alpha power transformation and the Gumbel Type-II distribution, and demonstrates its effectiveness and better fit compared to other models through simulation and real-life data analysis.
RESULTS IN PHYSICS
(2022)
Article
Virology
Nasrullah Khan, Asma Arshad, Muhammad Azam, Ali Hussein Al-marshadi, Muhammad Aslam
Summary: The COVID-19 pandemic has had a significant impact globally, leading researchers and governments to seek ways to control the spread of the virus and accelerate the treatment process. To effectively predict the development trend of the pandemic and reduce losses, they have developed a forecasting model to help researchers, governments, and others devise response strategies.
JOURNAL OF MEDICAL VIROLOGY
(2022)
Article
Mathematics
Showkat Ahmad Lone, Tabassum Naz Sindhu, Marwa K. H. Hassan, Tahani A. A. Abushal, Sadia Anwar, Anum Shafiq
Summary: Statistical models are crucial for data analysis, and researchers are always looking for potential or the latest statistical models to fit different data sets. In this investigation, a T-X transformation and the Gumbel Type-II model were used to create an improved statistical model. Simulation evaluation was conducted to assess the efficacy of the parameters. Two actual data sets were utilized to demonstrate the application of the T-X approach in producing the new and improved Gumbel Type-II (NIGT-II) distribution, and the results suggest that the NIGT-II distribution outperforms the Gumbel Type-II distribution.
Article
Computer Science, Information Systems
Dulakshi Santhusitha Kumari Karunasingha
Summary: The key statistical properties of RMSE and MAE estimators were derived for symmetric error distributions. An Approximate Root Normal Distribution (ARND) was developed to approximate the distribution of the RMSE estimator. The findings suggest that the choice between RMSE and MAE depends on the error distribution type, and the estimated RMSE/MSE ratio can identify the error distribution type.
INFORMATION SCIENCES
(2022)
Article
Meteorology & Atmospheric Sciences
Arya Paul, M. Afroosa, Balaji Baduru, Biswamoy Paul
Summary: Model states are often compared with scattered in-situ observations to validate their accuracy, but there is no unified diagram to showcase statistical measures of correlation, root mean square error, and standard deviation across all locations. In this study, we propose the Performance Across Space (PAS) diagram and the Performance Across Time (PAT) diagram to address this issue. Through realistic ocean models and in-situ observations, we demonstrate the effectiveness of these diagrams in evaluating model performance and data assimilation.
Article
Chemistry, Analytical
Shangyong Zhao, Weiran Song, Yuchen Zhao, Zongyu Hou, Zhe Wang
Summary: In this study, an in-situ measurement method based on LIBS was proposed to analyze the material ratio and chemical uniformity in the steel industry. The results showed that the method met the industry standards and demonstrated good accuracy and stability.
MICROCHEMICAL JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Sajjad Haider Bhatti, Muhammad Irfan, Muhammad Azeem, Maria Javed, Muhammad Ali Raza
Summary: The article proposes new modified estimators for parameter estimation of the Power Function distribution, which is suitable for modeling failure times of electric components and devices. The performance of these estimators is compared with existing traditional and modified estimators using Monte Carlo simulation and real-life examples. The results indicate that the proposed modified estimators outperform the competing estimators, providing more precise parameter estimates for the distribution commonly applied in modeling failure times.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2023)
Article
Mathematical & Computational Biology
Saskya Mary Soemartojo, Titin Siswantining, Yoel Fernando, Devvi Sarwinda, Herley Shaori Al-Ash, Sarah Syarofina, Noval Saputra
Summary: This article investigates the issue of missing value imputation in gene expression data and proposes a new imputation method called bi-BPCA-iLS. Experiments show that this method significantly improves upon existing methods and does not significantly increase computational time.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Ndiye M. Kebonye
Summary: Data splitting is an essential step in machine learning for good model generalization. The novel support points-based split method shows promising results compared to conventional methods, but has not been widely used in soil-based research. Both split methods yield comparable test RMSE results, with the novel method being more reliable and robust due to its iterative approach and use of control points for optimal data partitioning.
Article
Computer Science, Artificial Intelligence
Ranjan Kumar Dash, Tu N. Nguyen, Korhan Cengiz, Aditi Sharma
Summary: This paper proposes a new machine learning technique for stock forecasting based on time series data. By optimizing the parameters through grid search on the training dataset, the model achieves increased accuracy, reduced time and memory requirements, and minimized data overfitting. The proposed method performs better in analyzing performance parameters of the stock market and requires less time compared to similar methods.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Dongbing Guo, Chunhui Wang, Baoling Qi
Summary: The novel differential method based on linear fitting significantly improves the accuracy of the pulse-ranging system, reducing the Root Mean Square Error by nearly 50% compared to the peak method. Experimental results also show that the Relative Error of the proposed method is less than 30 ppm, indicating its effectiveness.
APPLIED SCIENCES-BASEL
(2021)
Review
Computer Science, Interdisciplinary Applications
T. Rajasundrapandiyanleebanon, K. Kumaresan, Sakthivel Murugan, M. S. P. Subathra, Mahima Sivakumar
Summary: Renewable energy sources are abundant and beneficial for the environment. Concentrating on the forecast of these energy sources is crucial for their effective utilization. This paper focuses on solar energy prediction, using artificial intelligence techniques to provide data support for decision making in the solar energy sector.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Engineering, Civil
Saif Alzabeebee, Abbas Al-Taie
Summary: This paper aims to develop new models to predict the compression and recompression indices (Cc and Cr) of alluvial soils. Through extensive laboratory tests and the compilation of a database, the new models are shown to outperform the available empirical correlations through nonlinear regression analysis.
GEOMECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
F. Naz, T. Nawaz, M. Abid, T. Pang
Summary: This study proposes a new method for estimating population variance by integrating nonconventional auxiliary information with simple random sampling. The proposed estimators outperform existing methods in terms of Mean Squared Error (MSE) and Relative Root Mean Square Error (RRMSE), and also demonstrate higher Percentage Relative Efficiency (PRE).
Article
Chemistry, Multidisciplinary
Jing Chen, Xiaoquan Lu
Summary: A maximum information extraction method based on Wavelet Transform (WT) is proposed in this paper for resolving the complex NIR signal. The results demonstrate that the method serves as an effective tool for obtaining the maximum valuable information in NIR study.
FRONTIERS IN CHEMISTRY
(2022)
Article
Neurosciences
Albert Busquets, Silvia Aranda-Garcia, Blai Ferrer-Uris, Michel Marina, Rosa Angulo-Barroso
Article
Multidisciplinary Sciences
Albert Puig-Divi, Carles Escalona-Marfil, Josep Maria Padulles-Riu, Albert Busquets, Xavier Padulles-Chando, Daniel Marcos-Ruiz
Article
Multidisciplinary Sciences
Jordi Arboix-Alio, Bernat Busca, Albert Busquets, Joan Aguilera-Castells, Bernat de Pablo, Alicia M. Montalvo, Azahara Fort-Vanmeerhaeghe
Letter
Biophysics
Peter Federolf, Rosa M. Angulo-Barroso, Albert Busquets, Blai Ferrer-Uris, Oyvind Gloersen, Maurice Mohr, David O'Reilly, Arunee Promsri, Steven van Andel, Felix Wachholz, Inge Werner, Matteo Zago
JOURNAL OF BIOMECHANICS
(2021)
Article
Geriatrics & Gerontology
Adria Bermudo-Gallaguet, Mar Ariza, Rosalia Dacosta-Aguayo, Daniela Agudelo, Neus Camins-Vila, Maria Boldo, Oscar Carrera, Sandra Vidal, Blai Ferrer-Uris, Albert Busquets, Marc Via, Guillem Pera, Cynthia Caceres, Meritxell Gomis, Alberto Garcia-Molina, Jose Maria Tormos, Ana Arrabe, Gustavo Diez, Maria Jose Dura Mata, Pere Toran-Monserrat, Juan Jose Soriano-Raya, Sira Domenech, Alexandre Perera-Lluna, Kirk Erickson, Maria Mataro
Summary: This study aims to assess the impact of mindfulness and PE combined with CCT on the cognitive and emotional wellbeing of chronic stroke patients. The effects of the interventions will be described through various tests and sample collection, and potential influencing factors will be explored.
FRONTIERS IN AGING NEUROSCIENCE
(2022)
Article
Psychology, Multidisciplinary
Rosa Angulo-Barroso, Blai Ferrer-Uris, Julia Jubany, Albert Busquets
Summary: The study examined the drop-landing strategies of young children, with a focus on the lower extremity. The results showed that landing performance may reach a critical point of development at 4-5 years of age, with significant differences observed between younger and older age groups. This finding has important implications for improving landing strategies in young children.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Multidisciplinary Sciences
Blai Ferrer-Uris, Denisse Arias, Priscila Torrado, Michel Marina, Albert Busquets
Summary: This study compared the activity of forearm muscles during maximal dead-hangs in three different climbing-specific grip positions. It was found that the SLOPER grip position could better stimulate the flexor digitorum superficialis (FDS) and flexor carpi radialis (FCR) muscles, but required greater loads. On the other hand, the maximum CRIMP dead-hang could better activate the FDS compared to the SLOPE, even with similar loads.
Review
Neurosciences
Blai Ferrer-Uris, Maria Angeles Ramos, Albert Busquets, Rosa Angulo-Barroso
Summary: Physical exercise has been widely accepted as a useful tool for the prevention and treatment of diseases and disorders. In recent years, it has also been found that exercise can enhance people's cognition. However, the relationship between exercise and cognition is complex and there is still limited understanding of the underlying mechanisms. This review aims to analyze the effects of regular and acute exercise on cognition from both a behavioral perspective and neuro-physiological mechanisms.
Article
Psychology, Multidisciplinary
Albert Busquets, Blai Ferrer-Uris, Rosa Angulo-Barroso, Peter Federolf
Summary: The study examined posture movements and control under tendon vibration in children and adults with different gymnastic experiences. Children with gymnastic experience demonstrated a more mature form of postural coordination and neuromuscular control, closer to that of adults, compared to children without gymnastic experience. Gymnastic experience during childhood appeared to benefit proprioceptive reweighting processes in children, influencing their postural coordination and control.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Psychology, Multidisciplinary
Rosa Angulo-Barroso, Blai Ferrer-Uris, Albert Busquets
FRONTIERS IN PSYCHOLOGY
(2019)