7 research outputs found
Sentimental Analysis on Parent's Review Using Naive Bayes Algorithm
No full textAbstract— Sentimental analysis is technique used to determine whether text data is positive, negative or neutral. Sentimental analysis, also known as opinion mining, is the systematic identification, extraction, quantification, and analysis of affective states and subjective data, using natural language processing and text analysis is typically applied to customer feedback about daycare center. Sentiment analysis is frequently used in marketing, customer service, clinical medicine, and healthcare materials. The proposed system understands the opinions and utilities of parents towards daycare services, and to use this information to improve the quality of care and customer satisfaction. When you read customers feedback you can understand that whether the customer is happy, unhappy. You’ll also be able to understand why they’re feeling the way they are
Leveraging large language models for enabling design by analogy : a computational framework
No full textPublisher Copyright: © The Author(s) 2025.Design by Analogy (DbA) is a powerful method for fostering innovation by transferring knowledge from a source domain to solve problems in a target domain. However, traditional DbA approaches face significant challenges, including resource-intensive database management, linguistic and representational differences across domains, and the complexity of access and mapping processes. These limitations hinder scalability and efficiency, particularly for cross-domain analogies. Recent advancements in Artificial Intelligence (AI), especially Large Language Models (LLMs), offer promising solutions by facilitating efficient knowledge retrieval, bridging linguistic gaps, and enhancing semantic reasoning. This paper explores the potential of AI technologies to address these challenges, proposing a framework for analogical reasoning.Peer reviewe
The lysine demethylase, KDM4B, is a key molecule in androgen receptor signalling and turnover
No full textThe androgen receptor (AR) is a key molecule involved in prostate cancer (PC) development and progression. Post-translational modification of the AR by co-regulator proteins can modulate its transcriptional activity. To identify which demethylases might be involved in AR regulation, an siRNA screen was performed to reveal that the demethylase, KDM4B, may be an important co-regulator protein. KDM4B enzymatic activity is required to enhance AR transcriptional activity; however, independently of this activity, KDM4B can enhance AR protein stability via inhibition of AR ubiquitination. Importantly, knockdown of KDM4B in multiple cell lines results in almost complete depletion of AR protein levels. For the first time, we have identified KDM4B to be an androgen-regulated demethylase enzyme, which can influence AR transcriptional activity not only via demethylation activity but also via modulation of ubiquitination. Together, these findings demonstrate the close functional relationship between AR and KDM4B, which work together to amplify the androgen response. Furthermore, KDM4B expression in clinical PC specimens positively correlates with increasing cancer grade (P <0.001). Consequently, KDM4B is a viable therapeutic target in PC. © 2013 The Author(s)
Assessment of spectral reduction techniques for endmember extraction in unmixing of hyperspectral images
No full textInternational audienceSpectral mixture modelling is one of the most important techniques for classifying hyperspectral data at sub-pixel resolution. The identification of spectrally pure endmembers for estimating their corresponding abundances is an important step in spectral unmixing. The application of spectral reduction prior to endmember extraction would optimize the process by increasing the sensitivity of the algorithms to the most distinctive and informative features of the dataset. The objective of this study is to compare different spectral reduction techniques prior to endmember extraction on six real hyperspectral datasets, including an Airborne Visible InfraRed Imaging Spectrometer- Next Generation (AVIRIS-NG) image over Indian sub-continent. The endmembers identified from different combinations of spectral reduction and endmember extraction techniques are used for linear spectral unmixing on the original datasets. The performance of such combinations after unmixing were compared in terms of pixel reconstruction error and also the computation time for each dataset. Spectral reduction by both feature extraction techniques like Principal Component Analysis (PCA), Independent Component Analysis (ICA), Minimum Noise Fraction (MNF), and a feature selection technique based on Partial Informational Correlation (PIC) measure were analysed. The PIC based spectral reduction was found to perform well in terms of reconstruction error and computation time when combined with N-FINDR endmember algorithm. This approach could be adopted for spectral reduction in unmixing of datasets with similar endmember classes
Fibrillatory conduction in a simulated two-dimensional model of human atrial tissue: effect of the interaction of two ectopic foci
No full textAtrial fibrillation (AF) is the most common tachyarrhythmia. It has been demonstrated that extra-stimuli could act as triggers for AF. In many patients it is possible that multiple ectopic foci co-exist, and their interactions may generate complex conduction patterns. Our goal is to investigate the influence of the focus frequency, conduction velocity, and anisotropy on fibrillatory pattern generation during the interaction of multiple ectopic activities under electrical remodeling conditions. Our results support the broadly accepted theory that ectopic activity acting in remodeled tissue is an initiator of reentrant mechanisms. These reentrant circuits can generate fibrillatory activity when interacting with other rapid ectopic foci and under the following conditions: high ectopic focus frequency, slow conduction velocity, and anisotropic tissue. Analyses of electrogram polymorphism allow determination of which zones of tissue permit one to know in which zone of tissue unstable activity exists. Our results give useful insights into the electrophysiological parameters that determine the initiation and maintenance of fibrillatory conduction by two ectopic foci interaction in a simulated two-dimensional sheet of human atrial cells, under chronic AF conditions. © The Author(s) 2018
The antimalarial chloroquine reduces the burden of persistent atrial fibrillation
No full textIn clinical practice, reducing the burden of persistent atrial fibrillation by pharmacological means is challenging. We explored if blocking the background and the acetylcholine-activated inward rectifier potassium currents (IK1 and IKACh) could be antiarrhythmic in persistent atrial fibrillation. We thus tested the hypothesis that blocking IK1 and IKACh with chloroquine decreases the burden of persistent atrial fibrillation. We used patch clamp to determine the IC50 of IK1 and IKACh block by chloroquine and molecular modeling to simulate the interaction between chloroquine and Kir2.1 and Kir3.1, the molecular correlates of IK1 and IKACh. We then tested, as a proof of concept, if oral chloroquine administration to a patient with persistent atrial fibrillation can decrease the arrhythmia burden. We also simulated the effects of chloroquine in a 3D model of human atria with persistent atrial fibrillation. In patch clamp the IC50 of IK1 block by chloroquine was similar to that of IKACh. A 14-day regimen of oral chloroquine significantly decreased the burden of persistent atrial fibrillation in a patient. Mathematical simulations of persistent atrial fibrillation in a 3D model of human atria suggested that chloroquine prolonged the action potential duration, leading to failure of reentrant excitation, and the subsequent termination of the arrhythmia. The combined block of IK1 and IKACh can be a targeted therapeutic strategy for persistent atrial fibrillation. Copyright © 2019 Tobón, Palacio, Chidipi, Slough, Tran, Tran, Reiser, Lin, Herweg, Sayad, Saiz and Noujaim. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms
