Alzheimer's is a degenerative dementing disorder that starts with mild memory impairment and progresses to total loss of mental physical faculties. The sooner the diagnosis made, better for patient, as preventive actions treatment can be started. Although tests such Mini-Mental State Tests Examination are usually used early identification, relies on magnetic resonance imaging (MRI) brain analysis.Public initiatives OASIS (Open Access Series Imaging Studies) collection provide neuroimaging...

Quantum Computing is considered as the next frontier in computing, and it attracting a lot of attention from current scientific community. This kind computation provides to researchers with revolutionary paradigm for addressing complex optimization problems, offering significant speed advantage an efficient search ability. Anyway, still incipient stage development. For this reason, present architectures show certain limitations, which have motivated carrying out paper. In paper, we introduce...

This paper introduces Lynx, an intelligent system for personal safety at home environments, oriented to elderly people living independently, which encompasses a decision support machine automatic risk prevention, tested in real-life environments respond real time situations. The described this prevents such risks by advanced analytic methods supported expert knowledge system. It is minimally intrusive, using plug-and-play sensors and learning algorithms learn the elder’s daily activity...

Wastewater treatment plant (WWTP) operations manage massive amounts of data that can be gathered with new Industry 4.0 technologies such as the Internet Things and Big Data. These are critical to allow wastewater industry improve its operation, control, maintenance. However, available need improved enriched, partly due their high dimensionality low reliability, lack appropriate analysis processing tools for systems. This paper presents a visual analytics-based platform WWTP allows users...

Recently, there have been big leaps of advances in key natural language processing tasks that support semantic analysis, achieving some success real-world clinical tasks. However, is still a gap between the development advanced semantical annotation resources for plain text electronic health records (EHRs), generated by Language Annotating Systems (LASs), and their utilization settings. One common obstacle medical staff no time to assess quality annotations due workload. This paper...

Quantum Computing is an emerging paradigm which gathering a lot of popularity in the current scientific and technological community. Widely conceived as next frontier computation, still at dawn its development. Thus, solving systems suffer from significant limitations terms performance capabilities. Some interesting approaches have been devised by researchers practitioners order to overcome these barriers, being quantum-classical hybrid algorithms one most often used schemes. The main goal...

In this paper, we present an implementation of a Job Selection Problem (JSP) — generalization the well-known Travelling Salesperson (TSP)— <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$N=9$</tex> jobs on its Quadratic Unconstrained Binary Optimization (QUBO) form, using xmlns:xlink="http://www.w3.org/1999/xlink">$\mathrm{O}(N)$</tex> qubits DWave's Advantage_system4.1 quantum annealing device. The best known algorithm for TSP to date uses...

INTRODUCTION: We present early results of an ongoing investigation into the use sound for real-time monitoring anomalous behaviour in digital and digital/physical systems. OBJECTIVES: aim to define design guidelines both support authors process creating sonifications that a

In the present work authors give a detailed description of previously performed analysis carried out to formulate concrete educational innovation project proposal in area Computer Architecture, more specifically, Structure and Architecture sub-module. That was submitted competitive Educational Innovation Projects Call 2013-2015 Basque Country University (UPV/EHU, Spain), fortunately, it elected granted by Education Advisory Service same university. This follows way started another similar...

Characterizing the local voltage distribution within nanophysiological domains, driven by ionic currents through membrane channels, is crucial for studying cellular activity in modern biophysics, yet it presents significant experimental and theoretical challenges. Theoretically, complexity arises from difficulty of solving electro-diffusion equations three-dimensional domains. Currently, there are no methods available obtaining asymptotic computations or approximated solutions nonlinear...

Abstract: We assessed the effect of dipyridamole, RA‐642 and mopidamol. on lenticular opacities in a model experimental diabetic cataracts rats. All three pyrimido‐pyrimidine derivatives caused statistically significant reduction opacification crystalline lens as compared with untreated animals. The production superoxide anions (phenazine methosulphate [PMS]‐induced nitroblue tetrazolium [NBT] reduction) showed decrease 81.6%1, 78.9% 1.8% tissue homogenates from rats treated mopidamol,...

In this paper we present a study of the applicability and feasibility quantum-inspired algorithms techniques in tensor networks for industrial environments contexts, with compilation available literature an analysis use cases that may be affected by such methods. addition, explore limitations order to determine their potential scalability.

In this paper we present a study of the applicability and feasibility quantum-inspired algorithms techniques in tensor networks for industrial environments contexts, with compilation available literature an analysis use cases that may be affected by such methods. addition, explore limitations order to determine their potential scalability.

We present a series of algorithms in tensor networks for anomaly detection datasets, by using data compression Tensor Train representation. These consist preserving the structure normal and deleting anomalous data. The can be applied to any network test effectiveness methods with digits Olivetti faces datasets cybersecurity dataset determine cyber-attacks.

In the last years, MLOps (Machine Learning Operations) paradigm is attracting attention from community, extrapolating DevOps (Development and to artificial intelligence (AI) development life-cycle. this area, some challenges must be addressed successfully deliver solutions since there are specific nuances when dealing with AI operationalization such as model packaging or monitoring. Fortunately, interesting helpful approaches, both research community industry have emerged. However, further...