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Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation
Published 2024“…Yet, modeling the non-stationarity in EHR data has received less attention. Most existing studies follow a strong assumption of stationarity in patient representation from EHRs. …”
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A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification
Published 2025“…<p>Hyperspectral imaging (HSI) plays a pivotal role in remote sensing, enabling precise material identification through spectral data across many bands. Despite its advantages, challenges like high dimensionality, spectral mixing, and limited labelled data hinder its classification accuracy. …”
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Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics
Published 2023“…Several works have been done on predicting GRF&M from kinematic data captured from the subject’s body with the help of motion capture cameras. …”
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Enhancing the Prediction of Breast Cancer Progression Through Multi-modal Data Transformation
Published 2025“…Unimodal and multi-modal methods were evaluated with the application of SMOTE to mitigate the impact of data imbalance. Multi-modal fusion significantly outperforms unimodal methods, especially when class imbalances are mitigated by using SMOTE. …”
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Social attention as a cross‐cultural transdiagnostic neurodevelopmental risk marker
Published 2021“…The best-fitting model included a general social attention factor and six specific factors. Cultural differences in social attention were minimal and social attention was stable across age (<em>r</em> = 0.03), but females showed significantly greater social attention than males (d = 0.28). …”
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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques
Published 2025“…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. To address these challenges, an end-to-end concatenated Convolutional Neural Network (CNN) attention model has been proposed for automatic lung cancer classification. …”
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Board changes and CEO turnover
Published 2014“…For firms that decrease independence, the CEO turnover performance sensitivity significantly decreases following SOX. …”
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Traffic Transformer: Transformer-based framework for temporal traffic accident prediction
Published 2024“…This significant shift enhances the model's ability to capture long-range dependencies within time series data. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Published 2022“…Results also confirm that observational data modalities (such as diagnoses) are more predictive for preterm birth than interventional data modalities (e.g., medications and procedures).…”
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Students Plugged: The Psychological Impact of Smart Devices Screen Time Exposure on Cognitive Concentration Skills in Primary School Students in Abu Dhabi
Published 2025“…These findings were further supported by qualitative data from parental interviews, where parents expressed concerns that excessive screen time may negatively affect their children’s attention spans and behavioural outcomes. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Global gene expression profiling of LY411575-treated cells revealed changes in multiple signaling pathways, including focal adhesion, insulin, TGFβ, IL6, and Notch signaling, and decreased the expression of genes associated with functional categories of tissue development. …”
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Vocal Changes in Patients With Polycystic Ovary Syndrome
Published 2011“…There was no statistically significant difference in the acoustic parameters except for an increase in the relative average perturbation (P value = 0.035) and a decrease in maximum phonation time (P value = 0.001) in patients with PCOS. …”
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Essays on the effect of excess compensation and governance changes on firm value
Published 2012“…This dissertation consists of three essays on the effect of excess compensation and corporate governance changes on the firm’s performance. The first paper utilizes a cost minimization stochastic frontier approach to investigate the efficiency of director total compensation. …”
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Metabolomics of Dynamic Changes in Insulin Resistance Before and After Exercise in PCOS
Published 2019“…While compering within the groups, no significant changes in the amino acid levels before and after exercise were observed. …”
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Conceptual Skills in Leading Change: A Competence Approach to Public Sector Leadership
Published 2019“…Leaders’ capacity to think about abstract and complex ideas has long been acknowledged as essential to leadership tasks such as planning and analysis; however, because conceptualisation is often ambiguous and difficult to understand, many frameworks of leadership and change lack clarity on the actual significance of leaders’ conceptual skills when leading change. …”
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Swimming exercise improves short‐ and long‐term memories: Time‐course changes
Published 2021“…In this investigation, changes in the spatial hippocampal memory following a time-course of swimming exercise training were examined. …”
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Exploring urban growth–climate change–flood risk nexus in fast growing cities
Published 2022“…In addition, Doha witnessed various climatic changes with a notable increase in air temperature (+ 8.7%), a decrease in surface wind speed (− 19.5%), and a decrease in potential evapotranspiration losses (− 33.5%). …”
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