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Historically, cow selection criteria were developed for conventional milking systems that have regular milking intervals (MI). However, in automatic milking systems (AMS), there is variability in MI within and between co...

Objectives: The objectives of this study were to analyze the relationship between job satisfaction and work ability and to identify factors associated with job dissatisfaction. Methods: This is a cross-sectional study of...

Abstract This paper investigates a massive MIMO–NOMA system in which the base station (BS) employs a large antenna array with low-resolution (1–2-bit) spatial Sigma–Delta (ΣΔ) ADCs to shape and suppress quantizat...

“The mathematical inequality which in quantum mechanics gives rise to the uncertainty principle between two non commuting operators is used to develop a spatial step-size selection algorithm for the Split-Step Fourier ...

In this paper, we present the environment set for validation and testing a particular ASIC that implements a piecewise linear (PWL) architecture. Description for a package debug propose is included. Methodologies for pow...

Abstract Echo State Networks are recurrent neural networks that leverage a random reservoir’s dynamics, training only a simple readout layer. This approach is computationally efficient but limits network performance. B...

Abstract The problem of optimizing a certain systems as a function of time may be formulated in terms of maximizing or minimizing a non-linear cost function. It was found that a Dynamic Programming (DP) algorithm was par...

Reliable low-latency delivery over satellite downlinks remains fundamentally constrained by long propagation delays, burst-correlated packet loss, and the limited effectiveness of retransmission-based recovery. Although ...

Context. Astronomical environments are governed by a complex interplay of physical processes, including gravitational dynamics, radiative transfer, stellar evolution, chemistry, and hydrodynamics. These processes span a ...

Regarded as a kind of smart surfaces, metasurfaces can arbitrarily tailor the amplitude, phase, and polarization of light. Metasurfaces usually consist of subwavelength nanoantenna or nanoresonator arrays, which are deli...

This paper presents a resume of results obtained recently in the context of cosmology. We see how systems with escalating fields that can resolve the riddle of dark matter also can have a non linear comportment of the s...

Since there is an uncertainty in the arrival times of flights, pre-scheduled allocation of runways and stands and the subsequent first-come-first-served treatment results in a sub-optimal allocation of runways and stands...

As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant industry, academic, regulatory and media attention. For sUAS th...

The purpose of the paper is to examine the structural and functional transformation of the digital tourism ecosystem during the transition from traditional intelligent assistants, such as LLM-based chatbots, to a new par...

In order to teach exponential functions as well as to study the process of conceptualization through Vergnaud Theory of Conceptual Fields, a didactic sequence was designed. The sequence was tested with four groups of stu...

The balance and sustainability of coffee agroecosystems in southwestern Antioquia depend on the interactions and synergisms that take place above and below the ground. Within these, the functional groups of edaphic macro...

Urban air pollution from traffic emissions poses a significant risk to students residing in student communal housing (SCH) near major roadways. This study investigates the impact of peak hour traffic on ambient air quali...

A new methodology to design discrete-time multiple resonant controllers for single-phase uninterruptible power supply inverters is proposed in this study. This methodology is based on classical linear tools and consists ...

Abstract The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential to evaluate the impact of data augmentation on model performan...

Abstract Traffic flow prediction is a fundamental building block for Intelligent Transportation Systems (ITS), enabling proactive congestion mitigation, adaptive traffic signal control, and reliable route guidance. Howev...

Pipeline networks are the dominant mode of conveying a wide variety of oil refined products from refineries to distribution terminals. Pipeline infrastructure usually comprises trunk lines serving high-volume, long-haul ...

Shoreline resources constitute one of the most critical terrestrial elements, as they play a pivotal role in fluvial-lacustrine monitoring and the sustainable utilization of spatial resources. As the longest and most eco...

Drought is a slow-onset natural disaster that has far-reaching effects on agriculture, water security, and socio-economic systems, especially in climate-vulnerable countries such as Malaysia. It is imperative to predict ...

Abstract The rapid growth of the ageing population in medium-sized cities presents increasing challenges for the provision of inclusive public transport systems. This study examines the accessibility and service quality ...