Search results for "FRAM"
showing 10 items of 2142 documents
Når preposisjonar erstattar kasus : om preposisjonsobjekt (objektsadverbial) frå norrønt til moderne norsk
2006
Masteroppgave i Nordisk språk og litteratur 2006 - Høgskolen i Agder, Kristiansand Dette arbeidet har to hovuddelar. Den første delen er ei valensundersøking. Formålet med denne undersøkinga er å finne ut kva for valens verb som i moderne norsk krev preposisjonsobjekt, hadde på det norrøne språksteget. Den andre hovuddelen er ein analyse av preposisjonsobjekt i moderne norsk, med grunnlag i det teoretiske rammeverket i arbeidet, Lexicase Dependency Grammar (Starosta 1988). Sentrale prinsipp i Lexicase Dependency Grammar (LCDG) blir presenterte i kap. 2. I dette kapittel blir også metodiske spørsmål i samband med valensundersøkinga diskuterte, og korpusa som dannar grunnlag for undersøkingan…
Fine and Coarse Granular Argument Classification before Clustering
2021
Computational argumentation and especially argument mining together with retrieval enjoys increasing popularity. In contrast to standard search engines that focus on finding documents relevant to a query, argument retrieval aims at finding the best supporting and attacking premises given a query claim, e.g., from a predefined collection of arguments. Here, a claim is the central part of an argument representing the standpoint of a speaker with the goal to persuade the audience, and a premise serves as evidence to the claim. In addition to the actual retrieval process, existing work has focused on (1) classifying polarities of arguments into supporting or opposing, (2) classifying arguments …
Minimal learning machine in hyperspectral imaging classification
2020
A hyperspectral (HS) image is typically a stack of frames, where each frame represents the intensity of a different wavelength of light. Each spatial pixel has a spectrum. In the classification of the HS image, each spectrum is classified pixel-by-pixel. In some of the real-time applications, the amount of the HS image data causes performance challenges. Those issues relate to the platforms (e.g. drones) payload restrictions, the issues of the available energy and to the complexity of the machine learning models. In this study, we introduce the minimal learning machine (MLM) as a computationally cheap training and classification machine learning method for the hyperspectral imaging classificatio…
Understanding 802.11e contention-based prioritization mechanisms and their coexistence with legacy 802.11 stations
2005
The IEEE 802.11e task group has reached a stable consensus on two basic contention-based priority mechanisms to promote for standardization: usage of different arbitration interframe spaces and usage of different minimum/maximum contention windows. The goal of this article is to provide a thorough understanding of the principles behind their operation. To this purpose, rather than limit our investigation to high-level (e.g. throughput and delay) performance figures, we take a closer look at their detailed operation, also in terms of low-level performance metrics (e.g., the probability of accessing specific channel slots). Our investigation on one hand confirms that AIFS differentiation prov…
Novel CREB3L3 Nonsense Mutation in a Family With Dominant Hypertriglyceridemia.
2015
Objective— Cyclic AMP responsive element–binding protein 3–like 3 ( CREB3L3 ) is a novel candidate gene for dominant hypertriglyceridemia. To date, only 4 kindred with dominant hypertriglyceridemia have been found to be carriers of 2 nonsense mutations in CREB3L3 gene (245fs and W46X). We investigated a family in which hypertriglyceridemia displayed an autosomal dominant pattern of inheritance. Approach and Results— The proband was a 49-year-old woman with high plasma triglycerides (≤1300 mg/dL; 14.68 mmol/L). Her father had a history of moderate hypertriglyceridemia, and her 51-year-old brother had triglycerides levels as high as 1600 mg/dL (18.06 mmol/L). To identify the causal mutation …
ATP1A2 mutations in 11 families with familial hemiplegic migraine.
2005
Abstract Familial hemiplegic migraine (FHM) is an autosomal dominant form of migraine with aura. The disease is caused by mutations of at least three genes among which two have been identified, CACNA1A and ATP1A2. Very few mutations have been identified so far in ATP1A2. We screened the coding sequence of ATP1A2 in 26 unrelated FHM probands in whom CACNA1A screening was negative. A total of eight different mutations were identified in 11 of the probands (41%), including six missense mutations, one small deletion leading to a frameshift, and one in frame deletion. All were novel mutations. Two mutations were recurrent, in three and two families, respectively. Genotyping of 94 relatives of th…
A homozygous mutation in the TUB gene associated with retinal dystrophy and obesity.
2013
Inherited retinal dystrophies are a major cause of childhood blindness. Here, we describe the identification of a homozygous frameshift mutation (c.1194_1195delAG, p.Arg398Serfs*9) in TUB in a child from a consanguineous UK Caucasian family investigated using autozygosity mapping and whole-exome sequencing. The proband presented with obesity, night blindness, decreased visual acuity, and electrophysiological features of a rod cone dystrophy. The mutation was also found in two of the proband's siblings with retinal dystrophy and resulted in mislocalization of the truncated protein. In contrast to known forms of retinal dystrophy, including those caused by mutations in the tubby-like protein …
Modeling and 'smart' prototyping human-in-the-loop interactions for AmI environments
2021
[EN] Autonomous capabilities are required in AmI environments in order to adapt systems to new environmental conditions and situations. However, keeping the human in the loop and in control of such systems is still necessary because of the diversity of systems, domains, environments, context situations, and social and legal constraints, which makes full autonomy a utopia within the short or medium term. Human-system integration introduces an important number of challenges and problems that have to be solved. On the one hand, humans should interact with systems even in those situations where their attentional, cognitive, and physical resources are limited in order to perform the interaction.…
Are Cities Aware Enough? A Framework for Developing City Awareness to Climate Change
2020
Cities are growing and becoming more complex, and as they continue to do so, their capacity to deal with foreseen and unforeseen challenges derived from climate change has to adapt accordingly. In the last decade, an effort has been made to build city resilience and improve cities' capacity to respond to, recover from and adapt to climate change. However, certain city stakeholders' lack of proactive behavior has resulted in less effective city resilience-building strategies. In this sense, the importance of developing stakeholders&rsquo
Eritrean teachers' perceptions of learner-centred interactive pedagogy
2021
In most sub-Saharan African countries, mainstreaming learner-centred interactive pedagogy (LCIP) is defined as a policy priority. Similarly, Eritrea has adopted the same policy to seek a solution to its educational challenges. Rather than rote mastery of course content, the LCIP approach prioritises learners in constructing knowledge through interaction, active participation and controlling the learning process. This paper explores secondary school teachers' perceptions of LCIP and their challenges in implementing this pedagogical approach. Constructivism and sociocultural learning theory are considered conceptual frameworks to highlight LCIP as an approach for teaching and learning. Qualit…