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Enhanced Multiple Exciton Generation in PbS|CdS Janus-like Heterostructured Nanocrystals
Kroupa, Daniel M.,Pach, Gregory F.,Vö,rö,s, Má,rton,Giberti, Federico,Chernomordik, Boris D.,Crisp, Ryan W.,Nozik, Arthur J.,Johnson, Justin C.,Singh, Rohan,Klimov, Victor I.,Galli, American Chemical Society 2018 ACS NANO Vol.12 No.10
<P>Generating multiple excitons by a single high-energy photon is a promising third-generation solar energy conversion strategy. We demonstrate that multiple exciton generation (MEG) in PbS|CdS Janus-like heteronanostructures is enhanced over that of single-component and core/shell nanocrystal architectures, with an onset close to two times the PbS band gap. We attribute the enhanced MEG to the asymmetric nature of the heteronanostructure that results in an increase in the effective Coulomb interaction that drives MEG and a reduction of the competing hot exciton cooling rate. Slowed cooling occurs through effective trapping of hot-holes by a manifold of valence band interfacial states having both PbS and CdS character, as evidenced by photoluminescence studies and <I>ab initio</I> calculations. Using transient photocurrent spectroscopy, we find that the MEG characteristics of the individual nanostructures are maintained in conductive arrays and demonstrate that these quasi-spherical PbS|CdS nanocrystals can be incorporated as the main absorber layer in functional solid-state solar cell architectures. Finally, based upon our analysis, we provide design rules for the next generation of engineered nanocrystals to further improve the MEG characteristics.</P> [FIG OMISSION]</BR>
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József Márton Pucsok(József Márton Pucsok ),Andrea Lentene Puskas(Andrea Lentene Puskas ),Katalin Varga(Katalin Varga ),Gabriella Perenyi(Gabriella Perenyi ),Eva Bacsne Baba(Eva Bacsne Baba ),Laszlo B 사피엔시아 2018 Exercise Medicine Vol.2 No.-
Objectives: The primary purpose of our review was to systematically review the evolution of psycho-physiological performance analysis. Our secondary aim was to investigate the role of specific, multi-disciplinary performance indicators to identify future talents in the sport of soccer, handball and basketball. Methods: A review protocol was set up in order to avoid individual bias and ensure an efficient searching prodedure. This enabled a search strategy to define which literature was to be included or excluded from our research. Certain inclusion criteria were identified, before performing a search using three electronic databases (Web of Science, ScienceDirect, and Google Scholar) and reference lists for English-language articles, published from the year 1980 till 2017. Results: The comprehensive search yielded 82 documents to be relevant to our purpose of the study, according to our inclusion criteria criteria, 58 were fully-reviewed and referred to in our study. As we previously expected, the review of related literature resulted investigations involving mostly soccer and basketball players, studies conducted on handball players are significantly fewer. The majority of those studies examined physical performance characteristics via various field test. Conclusions: We concluded that further analysis is necessary to identify relevant psycho-physiological performance indicators, in order to properly enhance sports performance in the younger athlete population and in general too. Vienna Test System protocols may offer a great potential to provide valuable information for athletes and their coaches to enhance athletic performance. Future research should focus on specifically identify Vienna Test System test protocols that may be linked to each particular sport.
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Márton Judit,Szabó Ferenc,Zsolnai Attila,Anton István 아세아·태평양축산학회 2024 Animal Bioscience Vol.37 No.2
Objective: This study aims to investigate the genetic structure and characteristics of the Angus cattle population in Hungary. The survey was performed with the assistance of the Hungarian Hereford, Angus, Galloway Association (HHAGA). Methods: Genetic parameters of 1,369 animals from 16 Angus herds were analyzed using the genotyping results of 12 microsatellite markers with the aid of PowerMarker, Genalex, GDA-NT2021, and STRUCTURE software. Genotyping of DNA was performed using an automated genetic analyzer. Based on pairwise identity by state values of animals, the Python networkx 2.3 library was used for network analysis of the breed and to identify the central animals. Results: The observed numbers of alleles on the 12 loci under investigation ranged from 11 to 18. The average effective number of alleles was 3.201. The overall expected heterozygosity was 0.659 and the observed heterozygosity was 0.710. Four groups were detected among the 16 Angus herds. The breeders’ information validated the grouping results and facilitated the comparison of birth weight, age at first calving, number of calves born and productive lifespan data between the four groups, revealing significant differences. We identified the central animals/herd of the Angus population in Hungary. The match of our group descriptions with the phenotypic data provided by the breeders further underscores the value of cooperation between breeders and researchers. Conclusion: The observation that significant differences in the measured traits occurred among the identified groups paves the way to further enhancement of breeding efficiency. Our findings have the potential to aid the development of new breeding strategies and help breeders keep the Angus populations in Hungary under genetic supervision. Based on our results the efficient use of an upcoming genomic selection can, in some cases, significantly improve birth weight, age at first calving, number of calves born and the productive lifespan of animals.
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Actuator Fault Diagnosis in Mechanical Systems - Fault Power Estimation Approach
Lőrinc Márton 제어·로봇·시스템학회 2015 International Journal of Control, Automation, and Vol.13 No.1
A systematic method is introduced to deal with actuator faults in a class of nonlinear mechanical control systems. The presence of the fault is detected by monitoring the fault induced modifications in the control system’s energy balance. From the energy deviation the residual generator estimates the power of the fault. For fault isolation and identification the set of fault power pattern signals is defined. Using signal processing methods the elements of this set are compared to the residual signal to determine the characteristics and the magnitude of the fault. The method does not require assumptions on the system’s model and it can handle parameter uncertainties. The applicability of the proposed method is shown through mechatronic examples.
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