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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting

Author(s): Ahmed U; Mahmood A; Khan AR; Kuhlmann L; Alimgeer KS; Razzaq S; Aziz I; Hammad A;

The transition to sustainable energy has become imperative due to the depletion of fossil fuels. Solar energy presents a viable alternative owing to its abundance and environmental benefits. However, the intermittent nature of solar energy requires accurate forecasting of solar irradiance (SI) for reliable operation of photovoltaics (PVs) integrated syste ...

Article GUID: 40185800


Addressing vaccine hesitancy: A systematic review comparing the efficacy of motivational versus educational interventions on vaccination uptake

Author(s): Labbé S; Bacon SL; Wu N; Ribeiro PAB; Boucher VG; Stojanovic J; Voisard B; Deslauriers F; Tremblay N; Hébert-Auger L; Lavoie KL;

Traditional approaches to increase vaccination rely upon educating patients about vaccines. However, research shows that "knowing" vaccines are important is often insufficient: patients need to believe that getting vaccinated is important. Evidence-based motivational approaches, such as ...

Article GUID: 40167044


Validating MEG estimated resting-state connectome with intracranial EEG

Author(s): Afnan J; Cai Z; Lina JM; Abdallah C; Pellegrino G; Arcara G; Khajehpour H; Frauscher B; Gotman J; Grova C;

Magnetoencephalography (MEG) is widely used for studying resting-state brain connectivity. However, MEG source imaging is ill posed and has limited spatial resolution. This introduces source-leakage issues, making it challenging to interpret MEG-derived connectivity in resting states. To address ...

Article GUID: 40161991


Large language models deconstruct the clinical intuition behind diagnosing autism

Author(s): Stanley J; Rabot E; Reddy S; Belilovsky E; Mottron L; Bzdok D;

Efforts to use genome-wide assays or brain scans to diagnose autism have seen diminishing returns. Yet the clinical intuition of healthcare professionals, based on longstanding first-hand experience, remains the gold standard for diagnosis of autism. We leveraged deep learning to deconstruct and interrogate the logic of expert clinician intuition from cli ...

Article GUID: 40147442


Integrating past experiences

Author(s): Leir TMW; Gardner MPH;

New results help address a longstanding debate regarding which learning strategies allow animals to anticipate negative events based on past associations between sensory stimuli.

Article GUID: 40146623


Chromosome-level genome assembly of a doubled haploid brook trout (Salvelinus fontinalis)

Author(s): Lecomte L; Ferchaud AL; Normandeau E; Mérot C; Langlois-Parisé I; Therrien JC; Bérubé P; Djambazian H; Nawarathna PM; Ragoussis J; Fraser D;

Brook trout (Salvelinus fontinalis) is a socioeconomically important fish species for fisheries, aquaculture and aquatic conservation. We produced a 2.5 Gb reference assembly by combining Hi-C chromosome conformation capture with high-coverage short- and long-read sequencing of a fully homozygous ...

Article GUID: 40130537


The Awakening Brain is Characterized by a Widespread and Spatiotemporally Heterogeneous Increase in High Frequencies

Author(s): Avigdor T; Ren G; Abdallah C; Dubeau F; Grova C; Frauscher B;

Morning awakening is part of everyday life. Surprisingly, information remains scarce on its underlying neurophysiological correlates. Here simultaneous polysomnography and stereo-electroencephalography recordings from 18 patients are used to assess the spectral and connectivity content of the process of awakening at a local level 15 min before and after t ...

Article GUID: 40126936


Detrimental Effects of Space Flight on the Lumbar Spine May Be Correlated to Baseline Degeneration: Insights From an Advanced MR Imaging Study

Author(s): Bokhari R; Bisson DG; Fortin M; Vigouroux M; Cata JP; Hwang KP; Chen MM; Ceniza-Bordallo G; Ouellet JA; Ingelmo PM;

Introduction: Pain in lower back is a common condition reported by astronauts, both during and after space missions. Investigating the alterations in the spine and the mechanisms driving these changes is essential for a deeper understanding of how microgravity impacts the human spine. This knowle ...

Article GUID: 40124538


CACTUS: An open dataset and framework for automated Cardiac Assessment and Classification of Ultrasound images using deep transfer learning

Author(s): Elmekki H; Alagha A; Sami H; Spilkin A; Zanuttini AM; Zakeri E; Bentahar J; Kadem L; Xie WF; Pibarot P; Mizouni R; Otrok H; Singh S; Mourad A;

Cardiac ultrasound (US) scanning is one of the most commonly used techniques in cardiology to diagnose the health of the heart and its proper functioning. During a typical US scan, medical professionals take several images of the heart to be classified based on the cardiac views they contain, wit ...

Article GUID: 40107020


Correlations of pilot trainees brainwave dynamics with subjective performance evaluations: insights from EEG microstate analysis

Author(s): Zhao M; Law A; Su C; Jennings S; Bourgon A; Jia W; Larose MH; Bowness D; Zeng Y;

Objective: This study aims to investigate the relationship between the subjective performance evaluations on pilot trainees' aircraft control abilities and their brainwave dynamics reflected in the results from EEG microstate analysis. Specifically, we seek to identify correlations between distinct microstate patterns and each dimension included in th ...

Article GUID: 40109507


Utilizing large language models for detecting hospital-acquired conditions: an empirical study on pulmonary embolism

Author(s): Cheligeer C; Southern DA; Yan J; Wu G; Pan J; Lee S; Martin EA; Jafarpour H; Eastwood CA; Zeng Y; Quan H;

Objectives: Adverse event detection from Electronic Medical Records (EMRs) is challenging due to the low incidence of the event, variability in clinical documentation, and the complexity of data formats. Pulmonary embolism as an adverse event (PEAE) is particularly difficult to identify using exi ...

Article GUID: 40105654


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