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Three production systems for sheep (Low - L, Medium - M and High - H technology), with increasing technological levels, were studied under conditions in the Center-west of Brazil, to determine economic weights and select...

A method development aimed for high-throughput and automated antibody screening holds great potential for areas ranging from fundamental molecular interactions to the discovery of novel disease markers, therapeutic targe...

The use of some multiple-sequence alignments in phylogenetic analysis, particularly those that are not very well conserved, requires the elimination of poorly aligned positions and divergent regions, since they may not b...

We present a study of using fuzzy-based parameters for solving public bus routing problem where demand is uncertain. The fuzzy-based parameters are designed to provide data required by the route selection procedure. The ...

Foothold selection for hexapod robots in complex terrain presents a significant challenge, demanding both high computational efficiency and robust adaptability. To address this issue, this paper introduces a foothold sel...

The P300 component of event-related potentials (ERPs) is widely used in the implementation of brain computer interfaces (BCI). In this context, one of the main issues to solve is the binary classification problem that en...

This study aims to analyze the effect of recruitment, selection, and communication on the performance of ship crews at PT. Kamandanu Jaya Samudera Jakarta. As an essential part of the national maritime industry, shipping...

This study aims to analyze the influence of selection quality on employee competencies with intrinsic motivation and integrity as mediating variables. This research method was carried out at the Yogyakarta Police with a ...

Abstract Background Drought intensity and frequency are increasing under global warming in the boreal forests, and breeding for drought resistance will facilitate adaptation of new planting material to changing climate c...

The criteria indicating the suitability of the endstage renal disease patients for renal replacement therapy(RRT) are still controversial. However, patient selection is a very important factor determining survival on RRT...

Turmeric (Curcuma longa L.), propagated vegetatively, harbors limited genetic variability for breeding, prompting exploration of rare seed-derived half-sib progenies to generate novel recombinants. The present study inve...

We study a particle system with the following diffusion-branching-selection mechanism. Particles perform independent one dimensional Brownian motions and on top of that, at a constant rate, a pair of particles is chosen ...

Abstract Background Flowering time is a key phenological trait in chickpea (Cicer arietinum L.), determining adaptation to different agro-climatic conditions and directly influencing yield. Here, we investigated the gene...

Background and purpose: Proton therapy is a promising modality for treating locally advanced non-small cell lung cancer (LA-NSCLC). However, respiratory-induced intra-fractional motion can compromise tumour coverage. Thi...

ABSTRACT Background and Aim Evolutionary principles offer critical insights into pandemic dynamics but have been largely overlooked in contemporary responses to COVID‐19. Relaxed natural selection, increased global mob...

Data quality varies dramatically from source to source, even within the same domain. Given these challenges, data source selection has emerged as a crucial step in information integration. It demands efficient and scalab...

Abstract The performance and efficiency of a baler deteriorate as a result of gearbox failure. One way to overcome this challenge is to select appropriate fault feature parameters for fault diagnosis and monitoring gearb...

Abstract Background Comparative genomics and plastome phylogenomics have advanced significantly in recent years, highlighting the diversity, possible admixture, and non-neutral evolution of the predominantly considered n...

Abstract Recent advances in protein structure prediction have opened new avenues for understanding the potential impact of genetic mutations and how they might affect protein structure. In this study, we analyzed the dis...

Abstract In order to develop high yielding wheat genotypes resistant to yellow rust, marker-assisted selection (MAS) was utilized. The hard red spring wheat line Lassik was used as a donor, carrying three genes: high tem...

IntroductionThe ability to remember locations of objects and make spatial decisions is critical when navigating an environment. Such tasks, however, can be difficult for individuals with certain neurological conditions, ...

Abstract Feature selection is a critical step in machine learning, as it helps minimize redundant features, thereby enhancing model performance and interpretability. In practice, partially labeled datasets are common. Wh...

ABSTRACT With the advancement of brain–computer interfaces (BCI), motor imagery (MI) electroencephalogram (EEG) decoding can greatly benefit from spatial filtering features derived from common spatial patterns (CSP). H...

In this essay I will argue that natural selection is more important to functional explanations than what has been thought in some of the literature in philosophy of biology. I start by giving a brief overview of the two ...