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1.
The in vitro activities of the N,N-dimethylglycyl-amino derivative of minocycline (DMG-MINO) and 6-dimethyl-6-dexoxytetracycline (DMG-DMDOT), members of a new generation of tetracyclines, were evaluated by an agar dilution method and were compared with those of tetracycline and minocycline against 224 tetracycline-resistant and 73 tetracycline-susceptible recent clinical isolates of gram-positive cocci, including multiple-antibiotic-resistant methicillin-resistant Staphylococcus aureus and penicillin-resistant Streptococcus pneumoniae. The MICs of DMG-MINO and DMG-DMDOT were up to 500- to 2,000-fold lower than those of tetracycline against methicillin-resistant S. aureus and Streptococcus pneumoniae (MIC for 50% of strains tested [MIC50], < 0.06 microgram/ml). Against Streptococcus groups A, B, C, and G and Enterococcus faecalis, the MIC50 was 0.5 microgram/ml. MIC50s were greater only for coagulase-negative staphylococci (2 micrograms/ml). These data indicate that DMG-MINO and DMG-DMDOT are very potent drugs, and further in vitro and in vivo studies are warranted. 相似文献
2.
Acar Seda Bekin Tasdelen Mehmet Atilla Karaagac Bagdagul 《Iranian Polymer Journal》2021,30(7):697-705
Iranian Polymer Journal - The addition of methacrylate-functional polyhedral oligomeric silsesquioxane (MA-POSS) nanoparticles to styrene-butadiene rubber (SBR) composites was evaluated in terms of... 相似文献
3.
Unsupervised Multiway Data Analysis: A Literature Survey 总被引:1,自引:0,他引:1
Two-way arrays or matrices are often not enough to represent all the information in the data and standard two-way analysis techniques commonly applied on matrices may fail to find the underlying structures in multi-modal datasets. Multiway data analysis has recently become popular as an exploratory analysis tool in discovering the structures in higher-order datasets, where data have more than two modes. We provide a review of significant contributions in the literature on multiway models, algorithms as well as their applications in diverse disciplines including chemometrics, neuroscience, social network analysis, text mining and computer vision. 相似文献
4.
Sunil Kumar Richard J. Pippy Erdem Acar Nam H. Kim Raphael T. Haftka 《Structural and Multidisciplinary Optimization》2009,38(6):613-626
Probabilistic structural design deals with uncertainties in response (e.g. stresses) and capacity (e.g. failure stresses).
The calculation of the structural response is typically expensive (e.g., finite element simulations), while the capacity is
usually available from tests. Furthermore, the random variables that influence response and capacity are often disjoint. In
previous work we have shown that this disjoint property can be used to reduce the cost of obtaining the probability of failure
via Monte Carlo simulations. In this paper we propose to use this property for an approximate probabilistic optimization based
on exact capacity and approximate response distributions (ECARD). In Approximate Probabilistic Optimization Using ECARD, the
change in response distribution is approximated as the structure is re-designed while the capacity distribution is kept exact,
thus significantly reducing the number of expensive response simulations. ECARD may be viewed as an extension of SORA (Sequential
Optimization and Reliability Assessment), which proceeds with deterministic optimization iterations. In contrast, ECARD has
probabilistic optimization iterations, but in each iteration, the response distribution is approximated so as not to require
additional response calculations. The use of inexpensive probabilistic optimization allows easy incorporation of system reliability
constraints and optimal allocation of risk between failure modes. The method is demonstrated using a beam problem and a ten-bar
truss problem. The former allocates risk between two different failure modes, while the latter allocates risk between members.
It is shown that ECARD provides most of the improvement from risk re-allocation that can be obtained from full probabilistic
optimization. 相似文献
5.
Yakup Kara Melek Acar Boyacioglu Ömer Kaan Baykan 《Expert systems with applications》2011,38(5):5311-5319
Prediction of stock price index movement is regarded as a challenging task of financial time series prediction. An accurate prediction of stock price movement may yield profits for investors. Due to the complexity of stock market data, development of efficient models for predicting is very difficult. This study attempted to develop two efficient models and compared their performances in predicting the direction of movement in the daily Istanbul Stock Exchange (ISE) National 100 Index. The models are based on two classification techniques, artificial neural networks (ANN) and support vector machines (SVM). Ten technical indicators were selected as inputs of the proposed models. Two comprehensive parameter setting experiments for both models were performed to improve their prediction performances. Experimental results showed that average performance of ANN model (75.74%) was found significantly better than that of SVM model (71.52%). 相似文献
6.
Acar Esra Hopfgartner Frank Albayrak Sahin 《Multimedia Tools and Applications》2017,76(9):11809-11837
Multimedia Tools and Applications - In today’s society where audio-visual content such as professionally edited and user-generated videos is ubiquitous, automatic analysis of this content is... 相似文献
7.
8.
Rahul Shringarpure Sameer Venugopal Korhan Kaftanoglu Lawrence T. Clark David R. Allee Edward Bawolek 《Journal of the Society for Information Display》2008,16(11):1147-1155
Abstract— A novel approach of modeling a‐Si:H TFTs with the industry‐standard BSIM3 compact model is presented. The described approach defines the a‐Si:H TFT drain current and terminal charges as explicit functions of terminal voltages using a minimum set of BSIM3 parameters. The set of BSIM3 parameters is chosen based on the electrical and physical characteristics of the a‐Si:H TFT and their values extracted from measured data. By using the selected BSIM3 model parameters, the a‐Si:H TFT is simulated inside SPICE to fit the simulated I‐V and C‐V curves with the measured results. Finally, the extracted BSIM3 model is validated by simulating the kickback voltage effect in an AMLCD pixel array. 相似文献
9.
M. Erdal ?zbek Nalan ?zkurt F. Acar Savac? 《Journal of Intelligent Information Systems》2012,38(1):241-256
The time-varying frequency structure of musical signals have been analyzed using wavelets by either extracting the instantaneous
frequency of signals or building features from the energies of sub-band coefficients. We propose to benefit from a combination
of these two approaches and use the time-frequency domain energy localization curves, called as wavelet ridges, in order to
build features for classification of musical instrument sounds. We evaluated the representative capability of our feature
in different musical instrument classification problems using support vector machine classifiers. The comparison with the
features based on parameterizing the wavelet sub-band energies confirmed the effectiveness of the proposed feature. 相似文献
10.
Jale Acar V. G?kmen Esma Elden Taydas 《Zeitschrift für Lebensmitteluntersuchung und -Forschung A》1998,207(4):328-331
The effects of different treatments on the patulin content of apple juice during the production of industrial apple juice
concentrate were investigated. Conventional clarification using a rotary vacuum precoat filter was found to be more effective
than using ultrafiltration for the removal of patulin from apple juice. The average losses of patulin were 39% and 25% for
conventional clarification and filtration, and ultrafiltration, respectively. Washing and handling appeared to be the most
critical steps in removing patulin from apples since up to 54% could be removed using high-pressure water spraying.
Received: 22 January 1998 / Revised version: 21 April 1998 相似文献