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CONVERGENCE PROPERTIES OF HYPERSPACES
Maio, Giuseppe Di,Kocinac, Lj. D. R.,Nogura, Tsugunori Korean Mathematical Society 2007 대한수학회지 Vol.44 No.4
In this paper we investigate relationships between closure-type and convergence-type properties of hyperspaces over a space X and covering properties of X.
Di Maio, Alessandro,Skuba, Andrew,Himes, B Timothy,Bhagat, Srishiti L,Hyun, Jung Keun,Tessler, Alan,Bishop, Derron,Son, Young-Jin The Society 2011 The Journal of neuroscience Vol.31 No.12
<P>Dorsal root (DR) axons regenerate in the PNS but turn around or stop at the dorsal root entry zone (DREZ), the entrance into the CNS. Earlier studies that relied on conventional tracing techniques or postmortem analyses attributed the regeneration failure to growth inhibitors and lack of intrinsic growth potential. Here, we report the first in vivo imaging study of DR regeneration. Fluorescently labeled, large-diameter DR axons in thy1-YFPH mice elongated through a DR crush site, but not a transection site, and grew along the root at >1.5 mm/d with little variability. Surprisingly, they rarely turned around at the DREZ upon encountering astrocytes, but penetrated deeper into the CNS territory, where they rapidly stalled and then remained completely immobile or stable, even after conditioning lesions that enhanced growth along the root. Stalled axon tips and adjacent shafts were intensely immunolabeled with synapse markers. Ultrastructural analysis targeted to the DREZ enriched with recently arrived axons additionally revealed abundant axonal profiles exhibiting presynaptic features such as synaptic vesicles aggregated at active zones, but not postsynaptic features. These data suggest that axons are neither repelled nor continuously inhibited at the DREZ by growth-inhibitory molecules but are rapidly stabilized as they invade the CNS territory of the DREZ, forming presynaptic terminal endings on non-neuronal cells. Our work introduces a new experimental paradigm to the investigation of DR regeneration and may help to induce significant regeneration after spinal root injuries.</P>
Convergence properties of hyperspaces
Giuseppe Di Maio,Ljubi\v{s}a D.R. Ko\v{c}inac,Tsugunori Nogura 대한수학회 2007 대한수학회지 Vol.44 No.4
In this paper we investigate relationships between closure-type and convergence-type properties of hyperspaces over a space X andcovering properties ofX .
Zhaojun Hao,Francesco Di Maio,Enrico Zio Korean Nuclear Society 2024 Nuclear Engineering and Technology Vol.56 No.4
Cyber-Physical Energy Systems (CPESs) integrate cyber and hardware components to ensure a reliable and safe physical power production and supply. Renewable Energy Sources (RESs) add uncertainty to energy demand that can be dealt with flexible operation (e.g., load-following) of CPES; at the same time, scenarios that could result in severe consequences due to both component stochastic failures and aging of the cyber system of CPES (commonly overlooked) must be accounted for Operation & Maintenance (O&M) planning. In this paper, we make use of Deep Reinforcement Learning (DRL) to search for the optimal O&M strategy that, not only considers the actual system hardware components health conditions and their Remaining Useful Life (RUL), but also the possible accident scenarios caused by the failures and the aging of the hardware and the cyber components, respectively. The novelty of the work lies in embedding the cyber aging model into the CPES model of production planning and failure process; this model is used to help the RL agent, trained with Proximal Policy Optimization (PPO) and Imitation Learning (IL), finding the proper rejuvenation timing for the cyber system accounting for the uncertainty of the cyber system aging process. An application is provided, with regards to the Advanced Lead-cooled Fast Reactor European Demonstrator (ALFRED).
Gennarino, Vincenzo A.,Singh, Ravi K.,White, Joshua J.,De Maio, A.,Han, K.,Kim, J.Y.,Jafar-Nejad, P.,di Ronza, A.,Kang, H.,Sayegh, Layal S.,Cooper, Thomas A.,Orr, Harry T.,Sillitoe, Roy V.,Zoghbi, Hud Cell Press ; MIT Press 2015 Cell Vol.160 No.6
Spinocerebellar ataxia type 1 (SCA1) is a paradigmatic neurodegenerative proteinopathy, in which a mutant protein (in this case, ATAXIN1) accumulates in neurons and exerts toxicity; in SCA1, this process causes progressive deterioration of motor coordination. Seeking to understand how post-translational modification of ATAXIN1 levels influences disease, we discovered that the RNA-binding protein PUMILIO1 (PUM1) not only directly regulates ATAXIN1 but also plays an unexpectedly important role in neuronal function. Loss of Pum1 caused progressive motor dysfunction and SCA1-like neurodegeneration with motor impairment, primarily by increasing Ataxin1 levels. Breeding Pum1<SUP>+/-</SUP> mice to SCA1 mice (Atxn1<SUP>154Q/+</SUP>) exacerbated disease progression, whereas breeding them to Atxn1<SUP>+/-</SUP> mice normalized Ataxin1 levels and largely rescued the Pum1<SUP>+/-</SUP> phenotype. Thus, both increased wild-type ATAXIN1 levels and PUM1 haploinsufficiency could contribute to human neurodegeneration. These results demonstrate the importance of studying post-transcriptional regulation of disease-driving proteins to reveal factors underlying neurodegenerative disease.