Search results for "GME"
showing 10 items of 5956 documents
Fragment‐ and Negative Image‐Based Screening of Phosphodiesterase 10A Inhibitors
2019
A novel virtual screening methodology called fragment‐ and negative image‐based (F‐NiB) screening is introduced and tested experimentally using phosphodiesterase 10A (PDE10A) as a case study. Potent PDE10A‐specific small‐molecule inhibitors are actively sought after for their antipsychotic and neuroprotective effects. The F‐NiB combines features from both fragment‐based drug discovery and negative image‐based (NIB) screening methodologies to facilitate rational drug discovery. The selected structural parts of protein‐bound ligand(s) are seamlessly combined with the negative image of the target's ligand‐binding cavity. This cavity‐ and fragment‐based hybrid model, namely its shape and electr…
Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification
2022
For real-world automatic sleep-stage classification tasks, various existing deep learning-based models are biased toward the majority with a high proportion. Because of the unique sleep structure, most of the current polysomnography (PSG) datasets suffer an inherent class imbalance problem (CIP), in which the number of each sleep stage is severely unequal. In this study, we first define the class imbalance factor (CIF) to describe the level of CIP quantitatively. Afterward, we propose two balancing methods to alleviate this problem from the dataset quantity and the relationship between the class distribution and the applied model, respectively. The first one is to employ the data augmentati…
Runas attīstības veicināšana ar alternatīvās un augmentatīvās komunikācijas līdzekļiem 7-8 gadus veciem bērniem ar smagiem garīgās attīstības traucēj…
2021
Darba nosaukums: Runas attīstības veicināšana ar alternatīvās un augmentatīvās komunikācijas līdzekļiem 7 – 8 gadus veciem bērniem ar smagiem garīgās attīstības traucējumiem Darba autore: Agate Anstrauta Darba zinātniskā vadītāja: Mg.paed. Lūcija Anoško Darbs sastāv no: 63 lappusēm, ievada, 5 nodaļām, teorētiskās daļas, praktiskās daļas, nobeiguma un secinājumiem, 30 attēliem, 3 tabulām, 2 pielikumiem. Pētījuma mērķis: teorētiski aprakstīt, analizēt un praktiski pārbaudīt runas attīstību 7 – 8 gadus veciem bērniem ar smagiem garīgās attīstības traucējumiem, izmantojot alternatīvās un augmentatīvās komunikācijas līdzekļus. Teorētiskajā daļā darba autore ir iepazinusies un pētījusi dažādu zin…
Virtual Reality, Augmented Reality, and In Vivo Exposure Therapy: A Preliminary Comparison of Treatment Efficacy in Small Animal Phobia
2018
This study aggregated data from three randomized control trials to explore the differential efficacy of three forms of exposure therapy, namely, in vivo (iVET), virtual reality (VRET), and augmented reality (ARET), in the treatment of small animal phobia. Additionally, baseline patient characteristics were used to detect subgroups of patients who showed a differential response to certain treatment modalities. Primary measures were distance covered, anxiety during the behavioral avoidance test (BAT), and overall fear of small animals. A repeated-measures analysis of variance was used to explore the overall treatment effect across the exposure modalities. A cluster analysis and an analysis of…
Video Scene analysis for a configurable hardware accelerator dedicated to Smart Camera
2012
International audience; According to the Center for Research and Prevention of Injuries report, fall-caused injuries of elderly people in UE- 27 are five times as frequent as other injury causes which reduce considerably their mobility and independence. Among the diverse applications of computer vision systems, object detection and event recognition are of the most prominent related recognition and motion analysis, that is, researchers had the idea to spread it in fall detection. The fall event, extracted automatically from the video scene represents itself, crucial information that can be used to alert emergency. In this context, visual information on the corresponding scene is highly impo…
Multispectral filter arrays: Recent advances and practical implementation
2014
Thanks to some technical progress in interferencefilter design based on different technologies, we can finally successfully implement the concept of multispectral filter array-based sensors. This article provides the relevant state-of-the-art for multispectral imaging systems and presents the characteristics of the elements of our multispectral sensor as a case study. The spectral characteristics are based on two different spatial arrangements that distribute eight different bandpass filters in the visible and near-infrared area of the spectrum. We demonstrate that the system is viable and evaluate its performance through sensor spectral simulation. Multispectral filter arrays: Recent advan…
Open Dialogues in social networks: professional identity and transdisciplinary collaboration
2010
Aim: The aim of this article is to explore the challenges connected to the transformation and emergence of professional identity in transdisciplinary multi-agency network meetings and the use of Open Dialogue.Introduction: The empirical findings have been taken from a clinical project in southern Norway concerning multi-agency network meetings with persons between 14 and 25 years of age. The project explores how these meetings are perceived by professionals working in various sectors.Methodology: Data was collected through three interviews conducted with two focus groups, the first comprising health care professionals and the second professionals from the social and educational sectors. Con…
miMic
2016
miMic, a sonic analogue of paper and pencil is proposed: An augmented microphone for vocal and gestural sonic sketching. Vocalizations are classified and interpreted as instances of sound models, which the user can play with by vocal and gestural control. The physical device is based on a modified microphone, with embedded inertial sensors and buttons. Sound models can be selected by vocal imitations that are automatically classified, and each model is mapped to vocal and gestural features for real-time control. With miMic, the sound designer can explore a vast sonic space and quickly produce expressive sonic sketches, which may be turned into sound prototypes by further adjustment of model…
Universal Restrictions in Reading: What Do French Beginning Readers (Mis)perceive?
2020
International audience; Despite the many reports that consider statistical distribution to be vitally important in visual identification tasks in children, some recent studies suggest that children do not always rely on statistical properties to help them locate syllable boundaries. Indeed, sonority-a universal phonological element-might be a reliable source for syllable segmentation. More specifically, are children sensitive to a universal phonological sonority-based markedness continuum within the syllable boundaries for segmentation (e.g., from marked, illegal intervocalic clusters, "jr," to unmarked, legal intervocalic clusters, "rj"), and how does this sensitivity progress with reading…
Intelligent solutions for real-life data-driven applications
2017
The subject of this thesis belongs to the topic of machine learning or, specifically, to the development of advanced methods for regression analysis, clustering, and anomaly detection. Industry is constantly seeking improved production practices and minimized production time and costs. In connection to this, several industrial case studies are presented in which mathematical models for predicting paper quality were proposed. The most important variables for the prediction models are selected based on information-theoretic measures and regression trees approach. The rest of the original papers are devoted to unsupervised machine learning. The main focus is developing advanced spectral cluster…