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Bootstrapping long memory time series: Application in low frequency estimators
(Elsevier, 2021-07-08)
Bootstrapping time series requires dealing with the dependence that may exist within
the sample. Several strategies have been proposed, but their validity has only been
proven for short memory series and there has been ...
Retinal thickness as a biomarker of cognitive impairment in manifest Huntington’s disease
(Springer Nature, 2023)
Background
Cognitive decline has been reported in premanifest and manifest Huntington’s disease but reliable biomarkers are lacking. Inner retinal layer thickness seems to be a good biomarker of cognition in other ...
Maternal Immune Activation Induces Cortical Catecholaminergic Hypofunction and Cognitive Impairments in Offspring
(Springer Nature, 2023)
Background
Impairment of specific cognitive domains in schizophrenia has been associated with prefrontal cortex (PFC) catecholaminergic deficits. Among other factors, prenatal exposure to infections represents an ...
Energy and thermal modelling of an office building to develop an artificial neural networks model
(Nature, 2022)
[EN] Nowadays everyone should be aware of the importance of reducing CO2 emissions which produce the greenhouse effect. In the field of construction, several options are proposed to reach nearly-Zero Energy Building (nZEB) ...
Battery Charge Control in Solar Photovoltaic Systems Based on Fuzzy Logic and Jellyfish Optimization Algorithm
(MDPI, 2023-10-18)
The study focuses on the integration of a fuzzy logic-based Maximum Power Point Tracking (MPPT) system, an optimized proportional Integral-based voltage controller, and the Jellyfish Optimization Algorithm into a solar PV ...
Were there missing girls in Biscay? Sex ratios in Northern Spain, 1550-1899
(Asociación Española de Historia Económica, 2023)
This paper seeks to contribute to the knowledge of sex ratios at birth, their long-term evolution, and their de-
terminants, on a sound documentary base of almost one million records between 1550 and 1890. The region
studied ...
Deep learning based deep-sea automatic image enhancement and animal species classification
(Springer, 2023-03)
The automatic classification of marine species based on images is a challenging task for which multiple solutions have been increasingly provided in the past two decades. Oceans are complex ecosystems, difficult to access, ...
Microstructure and Wear Resistance in Medium and High C Steels Treated by Quenching and Partitioning
(Wiley, 2023-08)
The quenching and partitioning (Q&P) steels have shown to be promising candidates to be applied in fields where wear resistance is required. In this study, a medium and a high C steel are heat treated by Q&P and the resulting ...
Active Learning for Road Lane Landmark Inventory with V-ELM in Highly Uncontrolled Image Capture Conditions
(Elsevier, 2021-05-28)
Road landmark inventory is becoming an important data product for the maintenance of transport infrastructures. Several commercial sensors are available which include synchronized optical cameras that allowto build 360° ...
Isolation and Differentiation of Neurons and Glial Cells from Olfactory Epithelium in Living Subjects
(Springer Nature, 2023)
The study of psychiatric and neurological diseases requires the substrate in which the disorders occur, that is, the nervous tissue. Currently, several types of human bio-specimens are being used for research, including ...