Search results for "PIM"
showing 10 items of 3280 documents
Automatic sleep scoring: A deep learning architecture for multi-modality time series
2020
Background: Sleep scoring is an essential but time-consuming process, and therefore automatic sleep scoring is crucial and urgent to help address the growing unmet needs for sleep research. This paper aims to develop a versatile deep-learning architecture to automate sleep scoring using raw polysomnography recordings. Method: The model adopts a linear function to address different numbers of inputs, thereby extending model applications. Two-dimensional convolution neural networks are used to learn features from multi-modality polysomnographic signals, a “squeeze and excitation” block to recalibrate channel-wise features, together with a long short-term memory module to exploit long-range co…
Chondrodysplasia with multiple dislocations: comprehensive study of a series of 30 cases
2017
The group of chondrodysplasia with multiple dislocations includes several entities, characterized by short stature, dislocation of large joints, hand and/or vertebral anomalies. Other features, such as epiphyseal or metaphyseal changes, cleft palate, intellectual disability are also often part of the phenotype. In addition, several conditions with overlapping features are related to this group and broaden the spectrum. The majority of these disorders have been linked to pathogenic variants in genes encoding proteins implicated in the synthesis or sulfation of proteoglycans (PG). In a series of 30 patients with multiple dislocations, we have performed exome sequencing and subsequent targeted…
Effects of Pimozide Derivatives on pSTAT5 in K562 Cells
2017
STAT5 is a transcription factor, a member of the STAT family of signaling proteins. STAT5 is involved in many types of cancer, including chronic myelogenous leukemia (CML), in which this protein is found constitutively activated as a consequence of BCR-ABL expression. The neuroleptic drug pimozide was recently reported to act as an inhibitor of STAT5 phosphorylation and is capable of inducing apoptosis in CML cells in vitro. Our research group has synthesized simple derivatives of pimozide with cytotoxic activity and that are able to decrease the levels of phosphorylated STAT5. In this work we continued the search for novel STAT5 inhibitors, synthesizing compounds in which the benzoimidazol…
Hippocampal theta phase-contingent memory retrieval in delay and trace eyeblink conditioning
2017
Hippocampal theta oscillations (3-12Hz) play a prominent role in learning. It has been suggested that encoding and retrieval of memories are supported by different phases of the theta cycle. Our previous study on trace eyeblink conditioning in rabbits suggests that the timing of the conditioned stimulus (CS) in relation to theta phase affects encoding but not retrieval of the memory trace. Here, we directly tested the effects of hippocampal theta phase on memory retrieval in two experiments conducted on adult female New Zealand White rabbits. In Experiment 1, animals were trained in trace eyeblink conditioning followed by extinction, and memory retrieval was tested by presenting the CS at t…
Ensuring Diverse User Experiences and Accessibility While Developing the TeSLA e-Assessment System
2019
The TeSLA project, with its new, innovative approaches for e-assessment, offers a great possibility for increasing the educational equality and making higher education studies available for all. It has been estimated that 10–15% of students in higher education institutions have some disabilities or special educational needs. At online universities or in online programmes, the number is even higher. These numbers emphasise the importance of the universal design for learning as a leading principle while developing the digital learning environments and e-assessment procedures. In this chapter, we describe the key elements of ensuring the accessibility of the TeSLA e-assessment system during th…
Developing E-Authentication for E-Assessment : Diversity of Students Testing the System in Higher Education
2020
Sähköinen tunnistautuminen on yksi keskeisistä teemoista verkko-opetuksessa, -opiskelussa ja - arvioinnissa. Tämän tutkimuksen tarkoituksena oli tutkia opiskeluunsa erityistä tukea tarvitsevien yliopisto-opiskelijoiden käyttökokemuksia kehitteillä olevasta sähköisestä tunnistautumisjärjestelmästä. Erityistä huomiota kehittämistyössä kiinnitettiin tunnistautumisen saavutettavuuteen. Kaikkiaan 15 opiskelijaa testasi TeSLA-projektin osana kehitettyä tunnistautumisjärjestelmää, johon kuului kasvojentunnistus, äänentunnistus, näppäilyntunnistus, tekstityylianalyysi ja plagioinnin tunnistus. Opiskelijat täyttivät esi- ja jälkikyselylomakkeet sekä osallistuivat henkilökohtaisiin haastatteluihin. T…
Cell state prediction through distributed estimation of transmit power
2019
Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…
Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures
2020
Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…
The integration of content and language in students’ task answer production in the bilingual classroom
2016
The notion of content and language integration has recently become a key topic of inquiry in research on content and language integrated learning and other kinds of bilingual educational programmes. Understanding what integration is and how it happens is of fundamental importance not only for researchers interested in gauging the possibilities and limitations of bilingual programmes, but also for practitioners seeking optimal ways to support student development. This study investigates integration as it takes place in the context of collaborative writing in the classroom. Drawing on conversation analytic methodology, text production is investigated as a social and sequentially evolving phen…
Towards multilingual competence: examining beliefs and agency in first year university students’ language learner biographies
2021
As working life across the world is increasingly multilingual, multicultural and multidisciplinary, higher education language teaching is faced with a challenge of how to prepare students for it. Many universities have recently developed multilingual pedagogies but central to their success is learners’ perceptions of these practices. To fill this gap, this article explores first year university students’ language learner biographies to gain insight into how learners construct their linguistic realities. The biographies were studied with discourse analytical methods to examine the participants’ beliefs about language learning and their sense of agency in it. The results reveal that participa…