• The Journal of Art Theory & Practice
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• no.14
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• pp.217-245
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• 2012

The aim of this paper is to show how the paradigm of disaster resilience may help reorienting urban planning policies in order to mitigate various types of risks, thanks to carefully thought action on heritage and conservation practices. Resilience is defined as the "capacity of a social system to proactively adapt to and recover from disturbances that are perceived within the system to fall outside the range of normal and expected disturbances." It relies greatly on risk perception and the memory of catastrophes. States, regions, municipalities, have been giving territorial materiality to collective memory for centuries, but this trend has considerably increased in the second half of the 20th century. This is particularly true regarding the memory of disasters: for example, important traces of catastrophes such as urban ruins have been preserved, because they were supposed to maintain some awareness and hence foster urban resilience - Berlin's Gedachtniskirche is a well-known example of this policy. Yet, in spite of preserved traces of catastrophes and various warnings and heritage policies, there are countless examples of risk mismanagement and urban tragedies. Using resilience as a guiding concept might change the results of these failed risk mitigation policies and irrelevant disaster memory processes. Indeed, the concept of resilience deals with the complexity of temporal and spatial scales, and with partly emotional and qualitative processes, so that this approach fits the issues of urban memory management. Resilience might help underlining the complexity and the subtlety of remembrance messages, and lead to alternative paths better adapted to the diversity of risks, places and actors. However, when it is given territorial materiality, memory is almost always symbolically and politically framed and interpreted; Vale and Campanella had already outlined this political aspect of remembrance and resilience as a discourse. Resilience and the territorialization of memory are not ideologically neutral, but urban risk mitigation may come at that price.

• The Korea Journal of Herbology
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• v.30 no.2
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• pp.43-48
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• 2015

Objectives : The aim of this study was to investigate the memory enhancing properties of extract of Hoelen Cum Radix (HCR) and its possible mechanism in mice of normal condition. Methods : We evaluated the effects of HCR on cognitive function and memory enhancement in normal mice. Male ICR mice were orally administrated with HCR 100 mg/kg for 7 days and equal volume of saline was administrated to the control group in the same condition. We conducted two behavioral tests which measure the spatial working memory (Y-maze test) and cognitive fear memory (passive avoidance test). We also investigated whether HCR affects the hippocampal neurogenesis in the brain. To assess the effects of HCR on neural progenitor cell differentiation and neurite outgrowth in the early stage of hippocampal neurogenesis, we performed doublecortin (DCX), a direct neurogenesis marker, immunohistochemical analysis in the dentate gyrus (DG) of the mouse hippocampus. Results : HCR significantly enhanced memory and cognitive function as determined by the Y-maze test (p<0.05) and passive avoidance test (p<0.001). Moreover, HCR increased DCX positive cells (p<0.01) and neurite length (p<0.01) compared to the control group. These results indicated that HCR stimulates differentiation of neural progenitor cells and promotes neurite outgrowth in hippocampal DG of the mice. Conclusion : We concluded that HCR shows memory enhancing effects through the stimulation of hippocampal neurogenesis as a consequence of accelerated neuronal differentiation and neurite outgrowth in the DG of the hippocampus after HCR treatment.

• Journal of Ginseng Research
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• v.24 no.1
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• pp.8-17
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• 2000

Estrogen can influence on the expression of behaviors not associated directly with reproduction, including learning and memory. Recently estrogen has received considerable attention for its effects on neuroprotection and neural circuits in brain areas associated with cognition. Although estrogen replacement therapy may be helpful to postmenopausal women, it also results in a number of harmful side effects. Ginseng also has steroidal qualities and contains several ginsenoside components which have similar backbone structure to estrogen. The objectives of this experiment were 1) to examine the effects of estrogen and 2) to investigate the effects of ginsenosides as estrogenic agent on learning and memory using the Morris water maze, a traditional experimental task for spatial memory. In the experiments designed here, ovariectomized mice were implanted subcutaneously with Sila, itic capsules containing 17${\beta}$-estradiol (100∼250 $\mu\textrm{g}$/$m\ell$), panaxadiol (PD) and panaxatriol (PT) saponins (15∼100 $\mu\textrm{g}$/$m\ell$) diluted with sesame oil. In the first set of experiment, the effects of estradiol on learning and memory during the Morris water maze was examined. When estradiol was delivered via Silastic capsules following training improved spatial memory performance in ovariectomized female mice. In the second set of experiment, three different PD and PT saponin concentrations were delivered via Silastic implants to ovariectomized female mice and their effects were compared with estrogenic effects. Results of three separate experiments demonstrated that estradiol, PD and PT administrated by Silastic implants for 2 weeks prior to water maze training significantly improved spatial memory performance compared to ovariectomized (OVX) mice, as indicated by lower escape latency over trial. The positive effect of estradiol suggests that estrogen can affect performance on learning and memory. In addition, the positive effect of PD and PT saponins suggest that ginsenosides have an estrogen-like effects in mediating learning and memory related behavior action.

• Journal of KIISE
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• v.43 no.9
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• pp.963-973
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• 2016

Providing a semantic knowledge system using media ontologies requires not only conventional axiom reasoning but also knowledge extension based on various types of reasoning. In particular, spatio-temporal information can be used in a variety of artificial intelligence applications and the importance of spatio-temporal reasoning and expression is continuously increasing. In this paper, we append the LOD data related to the public address system to large-scale media ontologies in order to utilize spatial inference in reasoning. We propose an RDFS/Spatial inference system by utilizing distributed memory-based framework for reasoning about large-scale ontologies annotated with spatial information. In addition, we describe a distributed spatio-temporal SPARQL parallel query processing method designed for large scale ontology data annotated with spatio-temporal information. In order to evaluate the performance of our system, we conducted experiments using LUBM and BSBM data sets for ontology reasoning and query processing benchmark.

• The KIPS Transactions:PartD
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• v.11D no.2
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• pp.281-292
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• 2004

Selectivity estimation for spatial query is very important process used in finding the most efficient execution plan. Many works have been performed to estimate accurate selectivity. Although they deal with some problems such as false-count, multi-count, they can not get such effects in little memory space. Therefore, we propose a new technique called MW Histogram which is able to compress summary data and get reasonable results and has a flexible structure to react dynamic update. Our method is based on two techniques : (a) MinSkew partitioning algorithm which deal with skewed spatial datasets efficiently (b) Wavelet transformation which compression effect is proven. The experimental results showed that the MW Histogram which the buckets and wavelet coefficients ratio is 0.3 is lower relative error than MinSkew Histogram about 5%-20% queries, demonstrates that MW histogram gets a good selectivity in little memory.

• Proceedings of the Korean Vacuum Society Conference
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• 2009.02a
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• pp.185.1-185.1
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• 2009

• Korean Journal of Biological Psychiatry
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• v.17 no.2
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• pp.70-78
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• 2010

Objectives : This study investigated the differences of working memory among the subtypes of ADHD. Methods : Eighty-one children and adolescents with ADHD and thirty normal controls were recruited. Children with any cognitive disorders and low intelligence were excluded. In order to evaluate the verbal and visuospatial working memory, Digit span and Finger windows tasks were measured, respectively. Performances on these measures between children with ADHD and controls were compared. Further, performances among the groups of ADHD predominantly inattentive(ADHD-IA)(n=40), predominantly hyperactive-impulsive(ADHD-HI)(n= 10), and combined type(ADHD-C)(n=31), were compared. Results : Scores of Finger windows forward task were lower in the ADHD group as compared to the control group, whereas, the Digit span forward showed no difference. Both scores of Digit span backward and Finger windows backward task were lower in the ADHD group than the controls. Children with ADHD-IA performed poorer than children with ADHD-C on the Finger windows backward task. Conclusion : The results of this study showed that children with ADHD have deficits in spatial short-term memory and verbal and visuospatial working memory when compared to normal children. The deficits were evident in children with ADHD-IA subtype and in particular, performance on the visuospatial working memory task in this group was poorer than the ADHD-C group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.12
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• pp.8370-8377
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• 2015

In spatial data stream management systems, it is needed appropriate load shedding algorithm because real-time input spatial data streams could exceed the limitation of main memory. However previous researches, lack regard for input ratio and spatial utilization rates of spatial data streams, or the characteristics of data source which generates data streams with spatial information efficiently, can lead to decrease the performance and accuracy of spatial data stream query. Therefore, multi-level load shedding scheme for spatial data stream management systems is proposed to increase the spatial query performance and accuracy. This proposed scheme limits overloads in relation to the input rate and the characteristics of data source first, and then, if needed, query data representing low query participation probability based on spatial utilizations are dropped relatively. Our experiments show that the proposed method could decrease load shedding frequency for previous researches by more than 11% despite query results accuracy and query performance are superior at 0.04% and 3%.

• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.567-576
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• 2003

Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exists in spatial databases, is a challenging task due to the huge amounts of spatial data. Clustering algorithms are attractive for the task of class identification in spatial databases. Several methods for spatial clustering have been presented in recent years, but have the following several drawbacks increase costs due to computing distance among objects and process only memory-resident data. In this paper, we propose an efficient grid cell based spatial clustering method for spatial data mining. It focuses on resolving disadvantages of existing clustering algorithms. In details, it aims to reduce cost further for good efficiency on large databases. To do this, we devise a spatial clustering algorithm based on grid ceil structures including cell relationships.

• The Journal of Internal Korean Medicine
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• v.27 no.1
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• pp.253-264
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• 2006

Object: This research investigated effects of Jujadokseo-hwan on mice with Alzheimer's Disease induced by $amyloid-{\beta}$. According to Dongyibogam, Jujadokseo-hwan can cure amnesia. Amyloid-B is believed to induce oxidative stress and inflammation in the brain, postulated to play important roles in the pathogenesis of Alzheimer's disease. In this way $Amyloid-{\beta}$ induces Alzheimer's Disease. Methods : In order to make an efficient prescription and cope with dementia, learning and memory functions of mice were tested on passive avoidance test and V-maze task. $NF-{\kappa}B$ were measured from protein derived from the brain. RT-PCR was done for !gene analysis. Primers were protein kinase Band $NGF-{\alpha}$. Results : 1. Jujadokseo-hwan was effective for memory capacity on passive avoidance test. but noneffective for spatial memory capacity and locomotor activity on Y -maze task. 2. The measurement of $NF-{\kappa}B$ showed upward tendancies and the result of RT-PCR showed up-regulation when given Jujadokseo-hwan by mouth. Conclusion: Results suggest that Jujadokseo-hwan is effective on mice with Alzheimer's Disease induced by $amyloid-{\beta}$.