Results 21 to 30 of about 67,163 (223)

A novel modified Khatter’s approach for solving Neutrosophic Data Envelopment Analysis

open access: yesCroatian Operational Research Review, 2023
The evaluation of the performance of decision-making units (DMUs) that use comparable inputs to produce related outputs can be accomplished through a non-parametric linear programming (LP) technique called Data Envelopment Analysis (DEA).
Kshitish Kumar Mohanta   +2 more
doaj   +1 more source

Assessing the relative efficiency of commercial banks in the Republic of North Macedonia: DEA window analysis

open access: yesCroatian Operational Research Review, 2020
The aim of this paper is to assess the relative efficiency of commercial banks in one developing country, i.e. the Republic of North Macedonia by using the data envelopment analysis (DEA) technique-window analysis.
Violeta Cvetkoska   +1 more
doaj   +1 more source

Multivariate analysis of post-transition OECD countries in the context of inequality measures

open access: yesCroatian Operational Research Review, 2023
The aim of this paper is to classify the post-transition OECD countries according to the Gini coefficient for income inequality, the S80/S20 ratio, the income share of the bottom 40% of the population, educational attainment – tertiary education, and ...
Tomislav Korotaj   +2 more
doaj   +1 more source

Modeling to medical and economic data using: The transmuted power unit inverse Lindley distribution

open access: yesAlexandria Engineering Journal
Modeling biomedical and economic data accurately poses considerable challenges due to the complexity of these datasets, which frequently display variability, skewness, and heavy tails.
Eman A. Eldessouky   +3 more
doaj   +1 more source

An in-depth analysis of data reduction methods for sustainable deep learning [version 2; peer review: 2 approved]

open access: yesOpen Research Europe
In recent years, deep learning has gained popularity for its ability to solve complex classification tasks. It provides increasingly better results thanks to the development of more accurate models, the availability of huge volumes of data and the ...
Matteo Rucco   +5 more
doaj   +1 more source

Valosin‐containing protein counteracts ATP‐driven dissolution of FUS condensates through its ATPase activity in vitro

open access: yesFEBS Letters, EarlyView.
Biomolecular condensates formed by fused in sarcoma (FUS) are dissolved by high ATP concentrations yet persist in cells. Using a reconstituted system, we demonstrate that valosin‐containing protein (VCP), an AAA+ ATPase, counteracts ATP‐driven dissolution of FUS condensates through its D2 ATPase activity.
Hitomi Kimura   +2 more
wiley   +1 more source

Using Game-Based Learning for Engaging with Determinants in Mathematics Education at the University Level

open access: yesEducation Sciences
Practising the calculation of determinants is important in linear algebra. A pioneering study involving 580 first-year university students evaluated the impact of game-based learning in higher mathematics education. The participants formed two groups: an
Szilvia Szilágyi   +3 more
doaj   +1 more source

Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy

open access: yesFEBS Letters, EarlyView.
The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson   +6 more
wiley   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

open access: yesMolecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson   +9 more
wiley   +1 more source

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