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László Szabó,Orsolya Gyenes,Júlia Szabó,Krisztina Kovács,András Kovács,Gabriella Kiskó,Ágnes Belák,Csilla Mohácsi-Farkas,Erzsébet Takács,László Wojnárovits 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.58 No.-
Effluents of wastewater treatment plants represent critical control points for antibiotic resistancemanagement. To meet strict regulations coming into effect in the future advanced technologies need tobe implemented that can remove the factors contributing to the development of resistance in receivingnatural environments. By performing microbiological assays we show that electron beam treatment of acomplex synthetic effluent wastewater matrix is able to eliminate one of these factors, the antimicrobialactivity of the b-lactam antibiotic piperacillin present at environmentally relevant concentration. SinceOH governs the antibacterial inactivation the technology needs to be designed to the stoichiometricpresence of OH.
The Alzheimer's Disease Neuroimaging Initiative,Lee, Y.B.,Lee, J.,Tak, S.,Lee, K.,Na, D.L.,Seo, S.W.,Jeong, Y.,Ye, J.C. Academic Press 2016 NeuroImage Vol.125 No.-
Recent studies of functional connectivity MR imaging have revealed that the default-mode network activity is disrupted in diseases such as Alzheimer's disease (AD). However, there is not yet a consensus on the preferred method for resting-state analysis. Because the brain is reported to have complex interconnected networks according to graph theoretical analysis, the independency assumption, as in the popular independent component analysis (ICA) approach, often does not hold. Here, rather than using the independency assumption, we present a new statistical parameter mapping (SPM)-type analysis method based on a sparse graph model where temporal dynamics at each voxel position are described as a sparse combination of global brain dynamics. In particular, a new concept of a spatially adaptive design matrix has been proposed to represent local connectivity that shares the same temporal dynamics. If we further assume that local network structures within a group are similar, the estimation problem of global and local dynamics can be solved using sparse dictionary learning for the concatenated temporal data across subjects. Moreover, under the homoscedasticity variance assumption across subjects and groups that is often used in SPM analysis, the aforementioned individual and group analyses using sparse dictionary learning can be accurately modeled by a mixed-effect model, which also facilitates a standard SPM-type group-level inference using summary statistics. Using an extensive resting fMRI data set obtained from normal, mild cognitive impairment (MCI), and Alzheimer's disease patient groups, we demonstrated that the changes in the default mode network extracted by the proposed method are more closely correlated with the progression of Alzheimer's disease.
Optimization study of Ultra-long Cycle Fast Reactor core concept
Tak, T.,Lee, D.,Kim, T.K.,Hong, S.G. Pergamon Press ; Elsevier Science Ltd 2014 Annals of nuclear energy Vol.73 No.-
An optimization of an Ultra-long Cycle Fast Reactor (UCFR) design with a power rating of 1000MW (electric), UCFR-1000, has been performed. Firstly, geometric optimization has been performed in the aspects of core size and core shape in terms of thermal-hydraulic (TH) feedback. Secondly, fuel composition optimization has been performed by adopting pressurized water reactor (PWR) spent fuel (SF) as a blanket material as well as natural uranium (NU). Thirdly, thorium has been loaded in the inner core for the optimization of radial power distribution. Lastly, a small-size UCFR with a power rate of 100MWe has been developed with optimization of maximum neutron flux and fast neutron fluence limit for a short term deployable nuclear reactor. The equivalent diameter and the height of the optimized UCFR-1000 core are 5.9 and 2.4m, respectively, while the equivalent diameter and the height of the optimized UCFR-100 core are 4.3 and 1.0m, respectively. The size of the optimized UCFR-1000 has been enlarged in the radial direction and shortened in the axial direction from those of the initial UCFR design (Tak et al., 2013a) and this modification makes the burning speed of active core movement slower. It has been confirmed for both designs that a full-power operation of 60years without refueling is feasible with respect to isotopics and criticality by a breed-and-burn strategy. The core performance characteristics of both designs have been evaluated in terms of axial/radial power shapes, neutron flux and nuclide distributions, breeding ratio, reactivity feedback coefficients, control rod worth, etc. By the design optimization study in this paper, the reductions of maximum neutron flux, fast neutron fluence, and axial/radial power peaking have been achieved, which are favorable for the safety of the UCFR.
A validation of dynamic causal modelling for 7T fMRI
Tak, S.,Noh, J.,Cheong, C.,Zeidman, P.,Razi, A.,Penny, W.D.,Friston, K.J. Elsevier 2018 Journal of neuroscience methods Vol.305 No.-
<P><B>Abstract</B></P> <P><B>Background</B></P> <P>There is growing interest in ultra-high field magnetic resonance imaging (MRI) in cognitive and clinical neuroscience studies. However, the benefits offered by higher field strength have not been evaluated in terms of effective connectivity and dynamic causal modelling (DCM).</P> <P><B>New method</B></P> <P>In this study, we address the validity of DCM for 7T functional MRI data at two levels. First, we evaluate the predictive validity of DCM estimates based upon 3T and 7T in terms of reproducibility. Second, we assess improvements in the efficiency of DCM estimates at 7T, in terms of the entropy of the posterior distribution over model parameters (i.e., information gain).</P> <P><B>Results</B></P> <P>Using empirical data recorded during fist-closing movements with 3T and 7T fMRI, we found a high reproducibility of average connectivity and condition-specific changes in connectivity – as quantified by the intra-class correlation coefficient (ICC = 0.862 and 0.936, respectively). Furthermore, we found that the posterior entropy of 7T parameter estimates was substantially less than that of 3T parameter estimates; suggesting the 7T data are more informative – and furnish more efficient estimates.</P> <P><B>Compared with existing methods</B></P> <P>In the framework of DCM, we treated field-dependent parameters for the BOLD signal model as free parameters, to accommodate fMRI data at 3T and 7T. In addition, we made the resting blood volume fraction a free parameter, because different brain regions can differ in their vascularization.</P> <P><B>Conclusions</B></P> <P>In this paper, we showed DCM enables one to infer changes in effective connectivity from 7T data reliably and efficiently.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We address the validity of Dynamic Causal Modelling (DCM) for 7T fMRI at two levels. </LI> <LI> We evaluate reproducibility and efficiency of DCM estimates across field strengths. </LI> <LI> High reproducibility of effective connectivity between 3T and 7T was observed. </LI> <LI> Posterior entropy of 7T parameter estimates was less than that of 3T estimates. </LI> <LI> DCM enables inference about effective connectivity from 7T reliably and efficiently. </LI> </UL> </P>
사과과일썩음증상을 일으키는 Alternaria alternata의 포자발아요인
S.K. TAK,O.P. VERMA,V.N. PATHAK 한국응용곤충학회 1985 한국응용곤충학회지 Vol.24 No.3
Effect of some physical and chemical factors on germination of conidia of Alternaria alternata (Fries) Keissler causing fruit rot of apple was investigated. The germination was maximum at , 100 per cent RH and at 5.5 pH Syllit, amongst the 11 fungicides and Planofix, amongst the 5 growth regulators caused maximum inhibition of conidial germination.
Magnetic Properties of Ho1−xLuxB12 Solid Solutions
S. Gab´ani,E. Ga˘zo,G. Prist´a˘s,I. Tak´a˘cov´a,K. Flachbart,N. Shitsevalova,K. Siemensmeyer,N. Sluchanko 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.10
Magnetic properties of the geometrically frustrated antiferromagnet HoB12 (with TN = 7.4 K)modified by substitution of magnetic Ho atoms through non-magnetic Lu ones are presented and discussed. In this case, in Ho1−xLuxB12 solid solutions, both chemical pressure resulting from different Lu3+ and Ho3+ radii and magnetic dilution take place with increasing Lu content (x) that change properties of the system. The received results show strong indication for the existence of a quantum critical point near x = 0.9, which separates the region of magnetic order (starting with HoB12 for x = 0) and the nonmagnetic region (ending with superconducting LuB12 for x = 1).
Transport Properties of Ho1−xLuxB12 Solid Solutions
S. Gab´ani,I. Bat’ko,M. Bat’kov´a,K. Flachbart,E. Ga˘zo,G. Prist´a˘s,I. Tak´a˘cov´a,A. V. Bogach,N. E. Sluchanko,N. Yu. Shitsevalova 한국물리학회 2013 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.62 No.10
Our studies of Ho1−xLuxB12 solid solutions have shown that the temperature of antiferromagnetic (AF) order in geometrically frustrated system of HoB12 (TN = 7.4 K) is linearly suppressed to zero temperature, i.e. TN →0, as lutetium concentration increases to x→xc ≈ 0.9. In this contribution,we present original results of electrical resistivity measurements on Ho1−xLuxB12 single crystalline samples with x = 0, 0.2, 0.5, 0.7, 0.9, 1 in the temperature range 0.06 - 300 K and in magnetic fields (B) up to 8 T. Complex B vs TN phase diagrams were received from precise temperature ρ(T) and field ρ(B) dependences of resistivity with several AF phases for x ≤ 0.5 pointing to a possibility of quantum critical point at xc ≈ 0.9. The scattering of conduction electrons in the AF phase and in the paramagnetic phase as well as Hall effect results are analyzed and discussed for various concentrations x, when magnetic dilution increases with the increasing content of nonmagnetic Lu ions in the Ho1−xLuxB12 system.